1
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Honeker LK, Pugliese G, Ingrisch J, Fudyma J, Gil-Loaiza J, Carpenter E, Singer E, Hildebrand G, Shi L, Hoyt DW, Chu RK, Toyoda J, Krechmer JE, Claflin MS, Ayala-Ortiz C, Freire-Zapata V, Pfannerstill EY, Daber LE, Meeran K, Dippold MA, Kreuzwieser J, Williams J, Ladd SN, Werner C, Tfaily MM, Meredith LK. Author Correction: Drought re-routes soil microbial carbon metabolism towards emission of volatile metabolites in an artificial tropical rainforest. Nat Microbiol 2024; 9:1146-1147. [PMID: 37803148 PMCID: PMC10994830 DOI: 10.1038/s41564-023-01507-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/08/2023]
Affiliation(s)
- Linnea K Honeker
- Biosphere 2, University of Arizona, Tucson, AZ, USA
- School of Natural Resources and the Environment, University of Arizona, Tucson, AZ, USA
| | - Giovanni Pugliese
- Ecosystem Physiology, Faculty of Environment and Natural Resources, University of Freiburg, Freiburg, Germany
- Max Planck Institute for Chemistry, Atmospheric Chemistry Department, Mainz, Germany
| | - Johannes Ingrisch
- Ecosystem Physiology, Faculty of Environment and Natural Resources, University of Freiburg, Freiburg, Germany
- Department of Ecology, Universität Innsbruck, Innsbruck, Austria
| | - Jane Fudyma
- Department of Environmental Sciences, University of Arizona, Tucson, AZ, USA
- Department of Plant Pathology, University of California, Davis, CA, USA
| | - Juliana Gil-Loaiza
- School of Natural Resources and the Environment, University of Arizona, Tucson, AZ, USA
| | | | | | - Gina Hildebrand
- Department of Environmental Sciences, University of Arizona, Tucson, AZ, USA
| | - Lingling Shi
- Geo-Biosphere Interactions, Department of Geosciences, University of Tuebingen, Tuebingen, Germany
| | - David W Hoyt
- Environmental Molecular Science Laboratory (EMSL), Earth and Biological Sciences Division, Pacific Northwest National Laboratory, Richland, WA, USA
| | - Rosalie K Chu
- Environmental Molecular Science Laboratory (EMSL), Earth and Biological Sciences Division, Pacific Northwest National Laboratory, Richland, WA, USA
| | - Jason Toyoda
- Environmental Molecular Science Laboratory (EMSL), Earth and Biological Sciences Division, Pacific Northwest National Laboratory, Richland, WA, USA
| | - Jordan E Krechmer
- Aerodyne Research, Inc., Billerica, MA, USA
- Bruker Daltonics Inc., Billerica, MA, USA
| | | | | | | | - Eva Y Pfannerstill
- Max Planck Institute for Chemistry, Atmospheric Chemistry Department, Mainz, Germany
- Department of Environmental Science, Policy, and Management, University of California, Berkeley, CA, USA
| | - L Erik Daber
- Ecosystem Physiology, Faculty of Environment and Natural Resources, University of Freiburg, Freiburg, Germany
| | | | - Michaela A Dippold
- Geo-Biosphere Interactions, Department of Geosciences, University of Tuebingen, Tuebingen, Germany
| | - Jürgen Kreuzwieser
- Ecosystem Physiology, Faculty of Environment and Natural Resources, University of Freiburg, Freiburg, Germany
| | - Jonathan Williams
- Max Planck Institute for Chemistry, Atmospheric Chemistry Department, Mainz, Germany
| | - S Nemiah Ladd
- Ecosystem Physiology, Faculty of Environment and Natural Resources, University of Freiburg, Freiburg, Germany
- Department of Environmental Sciences, University of Basel, Basel, Switzerland
| | - Christiane Werner
- Ecosystem Physiology, Faculty of Environment and Natural Resources, University of Freiburg, Freiburg, Germany
| | - Malak M Tfaily
- Department of Environmental Sciences, University of Arizona, Tucson, AZ, USA
| | - Laura K Meredith
- Biosphere 2, University of Arizona, Tucson, AZ, USA.
- School of Natural Resources and the Environment, University of Arizona, Tucson, AZ, USA.
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2
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Veličković M, Wu R, Gao Y, Thairu MW, Veličković D, Munoz N, Clendinen CS, Bilbao A, Chu RK, Lalli PM, Zemaitis K, Nicora CD, Kyle JE, Orton D, Williams S, Zhu Y, Zhao R, Monroe ME, Moore RJ, Webb-Robertson BJM, Bramer LM, Currie CR, Piehowski PD, Burnum-Johnson KE. Mapping microhabitats of lignocellulose decomposition by a microbial consortium. Nat Chem Biol 2024:10.1038/s41589-023-01536-7. [PMID: 38302607 DOI: 10.1038/s41589-023-01536-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/27/2023] [Accepted: 12/20/2023] [Indexed: 02/03/2024]
Abstract
The leaf-cutter ant fungal garden ecosystem is a naturally evolved model system for efficient plant biomass degradation. Degradation processes mediated by the symbiotic fungus Leucoagaricus gongylophorus are difficult to characterize due to dynamic metabolisms and spatial complexity of the system. Herein, we performed microscale imaging across 12-µm-thick adjacent sections of Atta cephalotes fungal gardens and applied a metabolome-informed proteome imaging approach to map lignin degradation. This approach combines two spatial multiomics mass spectrometry modalities that enabled us to visualize colocalized metabolites and proteins across and through the fungal garden. Spatially profiled metabolites revealed an accumulation of lignin-related products, outlining morphologically unique lignin microhabitats. Metaproteomic analyses of these microhabitats revealed carbohydrate-degrading enzymes, indicating a prominent fungal role in lignocellulose decomposition. Integration of metabolome-informed proteome imaging data provides a comprehensive view of underlying biological pathways to inform our understanding of metabolic fungal pathways in plant matter degradation within the micrometer-scale environment.
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Affiliation(s)
- Marija Veličković
- The Environmental Molecular Sciences Laboratory, Pacific Northwest National Laboratory, Richland, WA, USA
| | - Ruonan Wu
- Biological Sciences Division, Pacific Northwest National Laboratory, Richland, WA, USA
| | - Yuqian Gao
- Biological Sciences Division, Pacific Northwest National Laboratory, Richland, WA, USA
| | - Margaret W Thairu
- Wisconsin Institute for Discovery and Department of Plant Pathology, University of Wisconsin-Madison, Madison, WI, USA
| | - Dušan Veličković
- The Environmental Molecular Sciences Laboratory, Pacific Northwest National Laboratory, Richland, WA, USA
| | - Nathalie Munoz
- The Environmental Molecular Sciences Laboratory, Pacific Northwest National Laboratory, Richland, WA, USA
| | - Chaevien S Clendinen
- The Environmental Molecular Sciences Laboratory, Pacific Northwest National Laboratory, Richland, WA, USA
| | - Aivett Bilbao
- The Environmental Molecular Sciences Laboratory, Pacific Northwest National Laboratory, Richland, WA, USA
| | - Rosalie K Chu
- The Environmental Molecular Sciences Laboratory, Pacific Northwest National Laboratory, Richland, WA, USA
| | - Priscila M Lalli
- Biological Sciences Division, Pacific Northwest National Laboratory, Richland, WA, USA
| | - Kevin Zemaitis
- The Environmental Molecular Sciences Laboratory, Pacific Northwest National Laboratory, Richland, WA, USA
| | - Carrie D Nicora
- Biological Sciences Division, Pacific Northwest National Laboratory, Richland, WA, USA
| | - Jennifer E Kyle
- Biological Sciences Division, Pacific Northwest National Laboratory, Richland, WA, USA
| | - Daniel Orton
- Biological Sciences Division, Pacific Northwest National Laboratory, Richland, WA, USA
| | - Sarai Williams
- The Environmental Molecular Sciences Laboratory, Pacific Northwest National Laboratory, Richland, WA, USA
| | - Ying Zhu
- Department of Microchemistry, Proteomics, Lipidomics, and Next Generation Sequencing, Genentech, San Francisco, CA, USA
| | - Rui Zhao
- The Environmental Molecular Sciences Laboratory, Pacific Northwest National Laboratory, Richland, WA, USA
| | - Matthew E Monroe
- Biological Sciences Division, Pacific Northwest National Laboratory, Richland, WA, USA
| | - Ronald J Moore
- Biological Sciences Division, Pacific Northwest National Laboratory, Richland, WA, USA
| | | | - Lisa M Bramer
- Biological Sciences Division, Pacific Northwest National Laboratory, Richland, WA, USA
| | - Cameron R Currie
- Department of Bacteriology, University of Wisconsin-Madison, Madison, WI, USA
- Department of Biochemistry & Biomedical Sciences, McMaster University, Hamilton, Ontario, Canada
| | - Paul D Piehowski
- The Environmental Molecular Sciences Laboratory, Pacific Northwest National Laboratory, Richland, WA, USA
| | - Kristin E Burnum-Johnson
- The Environmental Molecular Sciences Laboratory, Pacific Northwest National Laboratory, Richland, WA, USA.
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3
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Tureţcaia AB, Garayburu-Caruso VA, Kaufman MH, Danczak RE, Stegen JC, Chu RK, Toyoda JG, Cardenas MB, Graham EB. Rethinking Aerobic Respiration in the Hyporheic Zone under Variation in Carbon and Nitrogen Stoichiometry. Environ Sci Technol 2023; 57:15499-15510. [PMID: 37795960 PMCID: PMC10586321 DOI: 10.1021/acs.est.3c04765] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/19/2023] [Revised: 09/07/2023] [Accepted: 09/08/2023] [Indexed: 10/06/2023]
Abstract
Hyporheic zones (HZs)─zones of groundwater-surface water mixing─are hotspots for dissolved organic matter (DOM) and nutrient cycling that can disproportionately impact aquatic ecosystem functions. However, the mechanisms affecting DOM metabolism through space and time in HZs remain poorly understood. To resolve this gap, we investigate a recently proposed theory describing trade-offs between carbon (C) and nitrogen (N) limitations as a key regulator of HZ metabolism. We propose that throughout the extent of the HZ, a single process like aerobic respiration (AR) can be limited by both DOM thermodynamics and N content due to highly variable C/N ratios over short distances (centimeter scale). To investigate this theory, we used a large flume, continuous optode measurements of dissolved oxygen (DO), and spatially and temporally resolved molecular analysis of DOM. Carbon and N limitations were inferred from changes in the elemental stoichiometric ratio. We show sequential, depth-stratified relationships of DO with DOM thermodynamics and organic N that change across centimeter scales. In the shallow HZ with low C/N, DO was associated with the thermodynamics of DOM, while deeper in the HZ with higher C/N, DO was associated with inferred biochemical reactions involving organic N. Collectively, our results suggest that there are multiple competing processes that limit AR in the HZ. Resolving this spatiotemporal variation could improve predictions from mechanistic models, either via more highly resolved grid cells or by representing AR colimitation by DOM thermodynamics and organic N.
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Affiliation(s)
- Anna B Tureţcaia
- Department of Earth and Planetary Sciences, The University of Texas at Austin, Austin, Texas 78712, United States
| | | | - Matthew H Kaufman
- Pacific Northwest National Laboratory, Richland, Washington 99352, United States
- Department of Earth, Environment, and Physics, Worcester State University, Worcester, Massachusetts 01602, United States
| | - Robert E Danczak
- Pacific Northwest National Laboratory, Richland, Washington 99352, United States
| | - James C Stegen
- Pacific Northwest National Laboratory, Richland, Washington 99352, United States
- School of the Environment, Washington State University, Pullman, Washington 99164, United States
| | - Rosalie K Chu
- Environmental Molecular Sciences Laboratory, Richland, Washington 99352, United States
| | - Jason G Toyoda
- Environmental Molecular Sciences Laboratory, Richland, Washington 99352, United States
| | - M Bayani Cardenas
- Department of Earth and Planetary Sciences, The University of Texas at Austin, Austin, Texas 78712, United States
| | - Emily B Graham
- Pacific Northwest National Laboratory, Richland, Washington 99352, United States
- School of Biological Sciences, Washington State University, Pullman, Washington 99164, United States
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4
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Dou Y, Katsnelson L, Gritsenko MA, Hu Y, Reva B, Hong R, Wang YT, Kolodziejczak I, Lu RJH, Tsai CF, Bu W, Liu W, Guo X, An E, Arend RC, Bavarva J, Chen L, Chu RK, Czekański A, Davoli T, Demicco EG, DeLair D, Devereaux K, Dhanasekaran SM, Dottino P, Dover B, Fillmore TL, Foxall M, Hermann CE, Hiltke T, Hostetter G, Jędryka M, Jewell SD, Johnson I, Kahn AG, Ku AT, Kumar-Sinha C, Kurzawa P, Lazar AJ, Lazcano R, Lei JT, Li Y, Liao Y, Lih TSM, Lin TT, Martignetti JA, Masand RP, Matkowski R, McKerrow W, Mesri M, Monroe ME, Moon J, Moore RJ, Nestor MD, Newton C, Omelchenko T, Omenn GS, Payne SH, Petyuk VA, Robles AI, Rodriguez H, Ruggles KV, Rykunov D, Savage SR, Schepmoes AA, Shi T, Shi Z, Tan J, Taylor M, Thiagarajan M, Wang JM, Weitz KK, Wen B, Williams CM, Wu Y, Wyczalkowski MA, Yi X, Zhang X, Zhao R, Mutch D, Chinnaiyan AM, Smith RD, Nesvizhskii AI, Wang P, Wiznerowicz M, Ding L, Mani DR, Zhang H, Anderson ML, Rodland KD, Zhang B, Liu T, Fenyö D. Proteogenomic insights suggest druggable pathways in endometrial carcinoma. Cancer Cell 2023; 41:1586-1605.e15. [PMID: 37567170 PMCID: PMC10631452 DOI: 10.1016/j.ccell.2023.07.007] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/14/2022] [Revised: 03/25/2023] [Accepted: 07/18/2023] [Indexed: 08/13/2023]
Abstract
We characterized a prospective endometrial carcinoma (EC) cohort containing 138 tumors and 20 enriched normal tissues using 10 different omics platforms. Targeted quantitation of two peptides can predict antigen processing and presentation machinery activity, and may inform patient selection for immunotherapy. Association analysis between MYC activity and metformin treatment in both patients and cell lines suggests a potential role for metformin treatment in non-diabetic patients with elevated MYC activity. PIK3R1 in-frame indels are associated with elevated AKT phosphorylation and increased sensitivity to AKT inhibitors. CTNNB1 hotspot mutations are concentrated near phosphorylation sites mediating pS45-induced degradation of β-catenin, which may render Wnt-FZD antagonists ineffective. Deep learning accurately predicts EC subtypes and mutations from histopathology images, which may be useful for rapid diagnosis. Overall, this study identified molecular and imaging markers that can be further investigated to guide patient stratification for more precise treatment of EC.
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Affiliation(s)
- Yongchao Dou
- Lester and Sue Smith Breast Center, Baylor College of Medicine, Houston, TX 77030, USA; Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX 77030, USA; Dan L Duncan Comprehensive Cancer Center, Baylor College of Medicine, Houston, TX 77030, USA
| | - Lizabeth Katsnelson
- Institute for Systems Genetics, NYU Grossman School of Medicine, New York, NY 10016, USA; Department of Biochemistry and Molecular Pharmacology, NYU Grossman School of Medicine, New York, NY 10016, USA
| | - Marina A Gritsenko
- Biological Sciences Division, Pacific Northwest National Laboratory, Richland, WA 99354, USA
| | - Yingwei Hu
- Department of Pathology and Oncology, Johns Hopkins University, Baltimore, MD 21231, USA
| | - Boris Reva
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Runyu Hong
- Institute for Systems Genetics, NYU Grossman School of Medicine, New York, NY 10016, USA; Department of Biochemistry and Molecular Pharmacology, NYU Grossman School of Medicine, New York, NY 10016, USA
| | - Yi-Ting Wang
- Biological Sciences Division, Pacific Northwest National Laboratory, Richland, WA 99354, USA
| | - Iga Kolodziejczak
- International Institute for Molecular Oncology, 20-203 Poznań, Poland; Postgraduate School of Molecular Medicine, Medical University of Warsaw, 02-091 Warsaw, Poland
| | - Rita Jui-Hsien Lu
- Department of Medicine and Genetics, Siteman Cancer Center, Washington University in St. Louis, St. Louis, MO 63110, USA; McDonnell Genome Institute, Washington University in St. Louis, St. Louis, MO 63108, USA
| | - Chia-Feng Tsai
- Biological Sciences Division, Pacific Northwest National Laboratory, Richland, WA 99354, USA
| | - Wen Bu
- Lester and Sue Smith Breast Center, Baylor College of Medicine, Houston, TX 77030, USA; Department of Medicine, Baylor College of Medicine, Houston, TX 77030, USA
| | - Wenke Liu
- Institute for Systems Genetics, NYU Grossman School of Medicine, New York, NY 10016, USA; Department of Biochemistry and Molecular Pharmacology, NYU Grossman School of Medicine, New York, NY 10016, USA
| | - Xiaofang Guo
- Division of Gynecologic Oncology, University of South Florida Morsani College of Medicine and Tampa General Hospital Cancer Institute, Tampa, FL 33606, USA
| | - Eunkyung An
- Office of Cancer Clinical Proteomics Research, National Cancer Institute, Rockville, MD 20850, USA
| | - Rebecca C Arend
- Department of Obstetrics and Gynecology, Division of Gynecologic Oncology, University of Alabama at Birmingham, Birmingham, AL 35249, USA
| | - Jasmin Bavarva
- Office of Cancer Clinical Proteomics Research, National Cancer Institute, Rockville, MD 20850, USA
| | - Lijun Chen
- Department of Pathology and Oncology, Johns Hopkins University, Baltimore, MD 21231, USA
| | - Rosalie K Chu
- Environmental Molecular Sciences Division, Pacific Northwest National Laboratory, Richland, WA 99354, USA
| | - Andrzej Czekański
- Wroclaw Medical University and Lower Silesian Oncology, Pulmonology and Hematology Center (DCOPIH), Wrocław, Poland
| | - Teresa Davoli
- Institute for Systems Genetics, NYU Grossman School of Medicine, New York, NY 10016, USA; Department of Biochemistry and Molecular Pharmacology, NYU Grossman School of Medicine, New York, NY 10016, USA
| | - Elizabeth G Demicco
- Department of Pathology and Laboratory Medicine, Mount Sinai Hospital and Laboratory Medicine and Pathobiology, University of Toronto, Toronto, ON M5G 1X5, Canada
| | - Deborah DeLair
- Department of Pathology, NYU Grossman School of Medicine, New York, NY 10016, USA
| | - Kelly Devereaux
- Department of Pathology, NYU Grossman School of Medicine, New York, NY 10016, USA
| | - Saravana M Dhanasekaran
- Department of Pathology, University of Michigan, Ann Arbor, MI 48109, USA; Michigan Center for Translational Pathology, University of Michigan, Ann Arbor, MI 48109, USA
| | - Peter Dottino
- Department of Obstetrics, Gynecology and Reproductive Science, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Bailee Dover
- Department of Obstetrics and Gynecology, Division of Gynecologic Oncology, University of Alabama at Birmingham, Birmingham, AL 35249, USA
| | - Thomas L Fillmore
- Environmental Molecular Sciences Division, Pacific Northwest National Laboratory, Richland, WA 99354, USA
| | - McKenzie Foxall
- Department of Obstetrics and Gynecology, Division of Gynecologic Oncology, University of Alabama at Birmingham, Birmingham, AL 35249, USA
| | - Catherine E Hermann
- Division of Gynecologic Oncology, Department of Obstetrics and Gynecology, NYU Grossman School of Medicine, New York, NY 10016, USA
| | - Tara Hiltke
- Office of Cancer Clinical Proteomics Research, National Cancer Institute, Rockville, MD 20850, USA
| | | | - Marcin Jędryka
- Wroclaw Medical University and Lower Silesian Oncology, Pulmonology and Hematology Center (DCOPIH), Wrocław, Poland
| | - Scott D Jewell
- Van Andel Research Institute, Grand Rapids, MI 49503, USA
| | - Isabelle Johnson
- Institute for Systems Genetics, NYU Grossman School of Medicine, New York, NY 10016, USA; Department of Biochemistry and Molecular Pharmacology, NYU Grossman School of Medicine, New York, NY 10016, USA
| | - Andrea G Kahn
- Department of Pathology, University of Alabama at Birmingham, Birmingham, AL 35249, USA
| | - Amy T Ku
- Lester and Sue Smith Breast Center, Baylor College of Medicine, Houston, TX 77030, USA
| | - Chandan Kumar-Sinha
- Department of Pathology, University of Michigan, Ann Arbor, MI 48109, USA; Michigan Center for Translational Pathology, University of Michigan, Ann Arbor, MI 48109, USA
| | - Paweł Kurzawa
- Heliodor Swiecicki Clinical Hospital in Poznan ul. Przybyszewskiego 49, 60-355 Poznań, Poland; Poznań University of Medical Sciences, 61-701 Poznań, Poland
| | - Alexander J Lazar
- Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA; Department of Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Rossana Lazcano
- Department of Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Jonathan T Lei
- Lester and Sue Smith Breast Center, Baylor College of Medicine, Houston, TX 77030, USA; Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX 77030, USA; Dan L Duncan Comprehensive Cancer Center, Baylor College of Medicine, Houston, TX 77030, USA
| | - Yi Li
- Lester and Sue Smith Breast Center, Baylor College of Medicine, Houston, TX 77030, USA; Department of Molecular and Cellular Biology, Baylor College of Medicine, Houston, TX 77030, USA
| | - Yuxing Liao
- Lester and Sue Smith Breast Center, Baylor College of Medicine, Houston, TX 77030, USA; Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX 77030, USA; Dan L Duncan Comprehensive Cancer Center, Baylor College of Medicine, Houston, TX 77030, USA
| | - Tung-Shing M Lih
- Department of Pathology and Oncology, Johns Hopkins University, Baltimore, MD 21231, USA
| | - Tai-Tu Lin
- Biological Sciences Division, Pacific Northwest National Laboratory, Richland, WA 99354, USA
| | - John A Martignetti
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Ramya P Masand
- Department of Pathology & Immunology, Baylor College of Medicine, Houston, TX 77030, USA
| | - Rafał Matkowski
- Wroclaw Medical University and Lower Silesian Oncology, Pulmonology and Hematology Center (DCOPIH), Wrocław, Poland
| | - Wilson McKerrow
- Institute for Systems Genetics, NYU Grossman School of Medicine, New York, NY 10016, USA; Department of Biochemistry and Molecular Pharmacology, NYU Grossman School of Medicine, New York, NY 10016, USA
| | - Mehdi Mesri
- Office of Cancer Clinical Proteomics Research, National Cancer Institute, Rockville, MD 20850, USA
| | - Matthew E Monroe
- Biological Sciences Division, Pacific Northwest National Laboratory, Richland, WA 99354, USA
| | - Jamie Moon
- Biological Sciences Division, Pacific Northwest National Laboratory, Richland, WA 99354, USA
| | - Ronald J Moore
- Biological Sciences Division, Pacific Northwest National Laboratory, Richland, WA 99354, USA
| | - Michael D Nestor
- Biological Sciences Division, Pacific Northwest National Laboratory, Richland, WA 99354, USA
| | - Chelsea Newton
- Van Andel Research Institute, Grand Rapids, MI 49503, USA
| | | | - Gilbert S Omenn
- Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI 48109, USA; Department of Internal Medicine, University of Michigan, Ann Arbor, MI 48109, USA; Department of Human Genetics, University of Michigan, Ann Arbor, MI 48109, USA; School of Public Health, University of Michigan, Ann Arbor, MI 48109, USA
| | - Samuel H Payne
- Department of Biology, Brigham Young University, Provo, UT 84602, USA
| | - Vladislav A Petyuk
- Biological Sciences Division, Pacific Northwest National Laboratory, Richland, WA 99354, USA
| | - Ana I Robles
- Office of Cancer Clinical Proteomics Research, National Cancer Institute, Rockville, MD 20850, USA
| | - Henry Rodriguez
- Office of Cancer Clinical Proteomics Research, National Cancer Institute, Rockville, MD 20850, USA
| | - Kelly V Ruggles
- Institute for Systems Genetics, NYU Grossman School of Medicine, New York, NY 10016, USA; Division of Precision Medicine, Department of Medicine, NYU Grossman School of Medicine, New York, NY 10016, USA
| | - Dmitry Rykunov
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Sara R Savage
- Lester and Sue Smith Breast Center, Baylor College of Medicine, Houston, TX 77030, USA; Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX 77030, USA; Dan L Duncan Comprehensive Cancer Center, Baylor College of Medicine, Houston, TX 77030, USA
| | - Athena A Schepmoes
- Biological Sciences Division, Pacific Northwest National Laboratory, Richland, WA 99354, USA
| | - Tujin Shi
- Biological Sciences Division, Pacific Northwest National Laboratory, Richland, WA 99354, USA
| | - Zhiao Shi
- Lester and Sue Smith Breast Center, Baylor College of Medicine, Houston, TX 77030, USA; Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX 77030, USA; Dan L Duncan Comprehensive Cancer Center, Baylor College of Medicine, Houston, TX 77030, USA
| | - Jimin Tan
- Institute for Systems Genetics, NYU Grossman School of Medicine, New York, NY 10016, USA; Department of Biochemistry and Molecular Pharmacology, NYU Grossman School of Medicine, New York, NY 10016, USA
| | - Mason Taylor
- Department of Biology, Brigham Young University, Provo, UT 84602, USA
| | - Mathangi Thiagarajan
- Leidos Biomedical Research Inc., Frederick National Laboratory for Cancer Research, Frederick, MD 21702, USA
| | - Joshua M Wang
- Institute for Systems Genetics, NYU Grossman School of Medicine, New York, NY 10016, USA; Department of Biochemistry and Molecular Pharmacology, NYU Grossman School of Medicine, New York, NY 10016, USA
| | - Karl K Weitz
- Biological Sciences Division, Pacific Northwest National Laboratory, Richland, WA 99354, USA
| | - Bo Wen
- Lester and Sue Smith Breast Center, Baylor College of Medicine, Houston, TX 77030, USA; Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX 77030, USA; Dan L Duncan Comprehensive Cancer Center, Baylor College of Medicine, Houston, TX 77030, USA
| | - C M Williams
- Broad Institute of Massachusetts Institute of Technology and Harvard, Cambridge, MA 02142, USA
| | - Yige Wu
- Department of Medicine and Genetics, Siteman Cancer Center, Washington University in St. Louis, St. Louis, MO 63110, USA; McDonnell Genome Institute, Washington University in St. Louis, St. Louis, MO 63108, USA
| | - Matthew A Wyczalkowski
- Department of Medicine and Genetics, Siteman Cancer Center, Washington University in St. Louis, St. Louis, MO 63110, USA; McDonnell Genome Institute, Washington University in St. Louis, St. Louis, MO 63108, USA
| | - Xinpei Yi
- Lester and Sue Smith Breast Center, Baylor College of Medicine, Houston, TX 77030, USA; Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX 77030, USA; Dan L Duncan Comprehensive Cancer Center, Baylor College of Medicine, Houston, TX 77030, USA
| | - Xu Zhang
- Office of Cancer Clinical Proteomics Research, National Cancer Institute, Rockville, MD 20850, USA
| | - Rui Zhao
- Environmental Molecular Sciences Division, Pacific Northwest National Laboratory, Richland, WA 99354, USA
| | - David Mutch
- Washington University School of Medicine, Saint Louis, MO 63110, USA
| | - Arul M Chinnaiyan
- Department of Pathology, University of Michigan, Ann Arbor, MI 48109, USA; Michigan Center for Translational Pathology, University of Michigan, Ann Arbor, MI 48109, USA; Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI 48109, USA
| | - Richard D Smith
- Biological Sciences Division, Pacific Northwest National Laboratory, Richland, WA 99354, USA
| | - Alexey I Nesvizhskii
- Department of Pathology, University of Michigan, Ann Arbor, MI 48109, USA; Michigan Center for Translational Pathology, University of Michigan, Ann Arbor, MI 48109, USA; Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI 48109, USA
| | - Pei Wang
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Maciej Wiznerowicz
- International Institute for Molecular Oncology, 60-203 Poznań, Poland; Heliodor Swiecicki Clinical Hospital in Poznan ul. Przybyszewskiego 49, 60-355 Poznań, Poland; Poznań University of Medical Sciences, 61-701 Poznań, Poland
| | - Li Ding
- Department of Medicine and Genetics, Siteman Cancer Center, Washington University in St. Louis, St. Louis, MO 63110, USA; McDonnell Genome Institute, Washington University in St. Louis, St. Louis, MO 63108, USA
| | - D R Mani
- Broad Institute of Massachusetts Institute of Technology and Harvard, Cambridge, MA 02142, USA
| | - Hui Zhang
- Department of Pathology and Oncology, Johns Hopkins University, Baltimore, MD 21231, USA
| | - Matthew L Anderson
- Division of Gynecologic Oncology, University of South Florida Morsani College of Medicine and Tampa General Hospital Cancer Institute, Tampa, FL 33606, USA.
| | - Karin D Rodland
- Biological Sciences Division, Pacific Northwest National Laboratory, Richland, WA 99354, USA; Department of Cell, Developmental, and Cancer Biology, Oregon Health & Science University, Portland, OR 97221, USA.
| | - Bing Zhang
- Lester and Sue Smith Breast Center, Baylor College of Medicine, Houston, TX 77030, USA; Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX 77030, USA; Dan L Duncan Comprehensive Cancer Center, Baylor College of Medicine, Houston, TX 77030, USA.
| | - Tao Liu
- Biological Sciences Division, Pacific Northwest National Laboratory, Richland, WA 99354, USA.
| | - David Fenyö
- Institute for Systems Genetics, NYU Grossman School of Medicine, New York, NY 10016, USA; Department of Biochemistry and Molecular Pharmacology, NYU Grossman School of Medicine, New York, NY 10016, USA.
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5
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Kitata RB, Velickovic M, Xu Z, Zhao R, Scholten D, Chu RK, Orton DJ, Chrisler WB, Mathews JV, Piehowski PD, Liu T, Smith RD, Liu H, Wasserfall CH, Tsai CF, Shi T. Robust collection and processing for label-free single voxel proteomics. bioRxiv 2023:2023.08.14.553333. [PMID: 37645907 PMCID: PMC10462033 DOI: 10.1101/2023.08.14.553333] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 08/31/2023]
Abstract
With advanced mass spectrometry (MS)-based proteomics, genome-scale proteome coverage can be achieved from bulk tissues. However, such bulk measurement lacks spatial resolution and obscures important tissue heterogeneity, which make it impossible for proteome mapping of tissue microenvironment. Here we report an integrated wet collection of single tissue voxel and Surfactant-assisted One-Pot voxel processing method termed wcSOP for robust label-free single voxel proteomics. wcSOP capitalizes on buffer droplet-assisted wet collection of single tissue voxel dissected by LCM into the PCR tube cap and MS-compatible surfactant-assisted one-pot voxel processing in the collection cap. This convenient method allows reproducible label-free quantification of ∼900 and ∼4,600 proteins for single voxel from fresh frozen human spleen tissue at 20 μm × 20 μm × 10 μm (close to single cells) and 200 μm × 200 μm × 10 μm (∼100 cells), respectively. 100s-1000s of protein signatures with differential expression levels were identified to be spatially resolved between spleen red and white pulp regions depending on the voxel size. Region-specific signaling pathways were enriched from single voxel proteomics data. Antibody-based CODEX imaging was used to validate label-free MS quantitation for single voxel analysis. The wcSOP-MS method paves the way for routine robust single voxel proteomics and spatial proteomics.
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6
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Honeker LK, Pugliese G, Ingrisch J, Fudyma J, Gil-Loaiza J, Carpenter E, Singer E, Hildebrand G, Shi L, Hoyt DW, Chu RK, Toyoda J, Krechmer JE, Claflin MS, Ayala-Ortiz C, Freire-Zapata V, Pfannerstill EY, Daber LE, Meeran K, Dippold MA, Kreuzwieser J, Williams J, Ladd SN, Werner C, Tfaily MM, Meredith LK. Drought re-routes soil microbial carbon metabolism towards emission of volatile metabolites in an artificial tropical rainforest. Nat Microbiol 2023; 8:1480-1494. [PMID: 37524975 PMCID: PMC10390333 DOI: 10.1038/s41564-023-01432-9] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/08/2022] [Accepted: 06/19/2023] [Indexed: 08/02/2023]
Abstract
Drought impacts on microbial activity can alter soil carbon fate and lead to the loss of stored carbon to the atmosphere as CO2 and volatile organic compounds (VOCs). Here we examined drought impacts on carbon allocation by soil microbes in the Biosphere 2 artificial tropical rainforest by tracking 13C from position-specific 13C-pyruvate into CO2 and VOCs in parallel with multi-omics. During drought, efflux of 13C-enriched acetate, acetone and C4H6O2 (diacetyl) increased. These changes represent increased production and buildup of intermediate metabolites driven by decreased carbon cycling efficiency. Simultaneously,13C-CO2 efflux decreased, driven by a decrease in microbial activity. However, the microbial carbon allocation to energy gain relative to biosynthesis was unchanged, signifying maintained energy demand for biosynthesis of VOCs and other drought-stress-induced pathways. Overall, while carbon loss to the atmosphere via CO2 decreased during drought, carbon loss via efflux of VOCs increased, indicating microbially induced shifts in soil carbon fate.
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Affiliation(s)
- Linnea K Honeker
- Biosphere 2, University of Arizona, Tucson, AZ, USA
- School of Natural Resources and the Environment, University of Arizona, Tucson, AZ, USA
| | - Giovanni Pugliese
- Ecosystem Physiology, Faculty of Environment and Natural Resources, University of Freiburg, Freiburg, Germany
- Max Planck Institute for Chemistry, Atmospheric Chemistry Department, Mainz, Germany
| | - Johannes Ingrisch
- Ecosystem Physiology, Faculty of Environment and Natural Resources, University of Freiburg, Freiburg, Germany
- Department of Ecology, Universität Innsbruck, Innsbruck, Austria
| | - Jane Fudyma
- Department of Environmental Sciences, University of Arizona, Tucson, AZ, USA
- Department of Plant Pathology, University of California, Davis, CA, USA
| | - Juliana Gil-Loaiza
- School of Natural Resources and the Environment, University of Arizona, Tucson, AZ, USA
| | | | | | - Gina Hildebrand
- Department of Environmental Sciences, University of Arizona, Tucson, AZ, USA
| | - Lingling Shi
- Geo-Biosphere Interactions, Department of Geosciences, University of Tuebingen, Tuebingen, Germany
| | - David W Hoyt
- Environmental Molecular Science Laboratory (EMSL), Earth and Biological Sciences Division, Pacific Northwest National Laboratory, Richland, WA, USA
| | - Rosalie K Chu
- Environmental Molecular Science Laboratory (EMSL), Earth and Biological Sciences Division, Pacific Northwest National Laboratory, Richland, WA, USA
| | - Jason Toyoda
- Environmental Molecular Science Laboratory (EMSL), Earth and Biological Sciences Division, Pacific Northwest National Laboratory, Richland, WA, USA
| | - Jordan E Krechmer
- Aerodyne Research, Inc., Billerica, MA, USA
- Bruker Daltonics Inc., Billerica, MA, USA
| | | | | | | | - Eva Y Pfannerstill
- Max Planck Institute for Chemistry, Atmospheric Chemistry Department, Mainz, Germany
- Department of Environmental Science, Policy, and Management, University of California, Berkeley, CA, USA
| | - L Erik Daber
- Ecosystem Physiology, Faculty of Environment and Natural Resources, University of Freiburg, Freiburg, Germany
| | | | - Michaela A Dippold
- Geo-Biosphere Interactions, Department of Geosciences, University of Tuebingen, Tuebingen, Germany
| | - Jürgen Kreuzwieser
- Ecosystem Physiology, Faculty of Environment and Natural Resources, University of Freiburg, Freiburg, Germany
| | - Jonathan Williams
- Max Planck Institute for Chemistry, Atmospheric Chemistry Department, Mainz, Germany
| | - S Nemiah Ladd
- Ecosystem Physiology, Faculty of Environment and Natural Resources, University of Freiburg, Freiburg, Germany
- Department of Environmental Sciences, University of Basel, Basel, Switzerland
| | - Christiane Werner
- Ecosystem Physiology, Faculty of Environment and Natural Resources, University of Freiburg, Freiburg, Germany
| | - Malak M Tfaily
- Department of Environmental Sciences, University of Arizona, Tucson, AZ, USA
| | - Laura K Meredith
- Biosphere 2, University of Arizona, Tucson, AZ, USA.
- School of Natural Resources and the Environment, University of Arizona, Tucson, AZ, USA.
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7
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Qafoku O, Varga T, Battu AK, Zhao Q, Bhattacharjee A, Zhu Z, Chu RK, Mudunuru MK. 3D Biogeochemical Characterization of Intact Soil Structures. Microsc Microanal 2023; 29:1234-1235. [PMID: 37613462 DOI: 10.1093/micmic/ozad067.634] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 08/25/2023]
Affiliation(s)
- Odeta Qafoku
- Environmental Sciences Molecular Laboratory, Pacific Northwest National Laboratory, Richland, WA, United States
| | - Tamas Varga
- Environmental Sciences Molecular Laboratory, Pacific Northwest National Laboratory, Richland, WA, United States
| | | | - Qian Zhao
- Environmental Sciences Molecular Laboratory, Pacific Northwest National Laboratory, Richland, WA, United States
| | - Arunima Bhattacharjee
- Environmental Sciences Molecular Laboratory, Pacific Northwest National Laboratory, Richland, WA, United States
| | - Zihua Zhu
- Environmental Sciences Molecular Laboratory, Pacific Northwest National Laboratory, Richland, WA, United States
| | - Rosalie K Chu
- Environmental Sciences Molecular Laboratory, Pacific Northwest National Laboratory, Richland, WA, United States
| | - Maruti K Mudunuru
- Energy and Environment Directorate, Pacific Northwest National Laboratory, Richland, WA, United States
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8
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AminiTabrizi R, Graf-Grachet N, Chu RK, Toyoda JG, Hoyt DW, Hamdan R, Wilson RM, Tfaily MM. Microbial sensitivity to temperature and sulfate deposition modulates greenhouse gas emissions from peat soils. Glob Chang Biol 2023; 29:1951-1970. [PMID: 36740729 DOI: 10.1111/gcb.16614] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/07/2022] [Revised: 11/22/2022] [Accepted: 12/22/2022] [Indexed: 05/28/2023]
Abstract
Peatlands are among the largest natural sources of atmospheric methane (CH4 ) worldwide. Microbial processes play a key role in regulating CH4 emissions from peatland ecosystems, yet the complex interplay between soil substrates and microbial communities in controlling CH4 emissions as a function of global change remains unclear. Herein, we performed an integrated analysis of multi-omics data sets to provide a comprehensive understanding of the molecular processes driving changes in greenhouse gas (GHG) emissions in peatland ecosystems with increasing temperature and sulfate deposition in a laboratory incubation study. We sought to first investigate how increasing temperatures (4, 21, and 35°C) impact soil microbiome-metabolome interactions; then explore the competition between methanogens and sulfate-reducing bacteria (SRBs) with increasing sulfate concentrations at the optimum temperature for methanogenesis. Our results revealed that peat soil organic matter degradation, mediated by biotic and potentially abiotic processes, is the main driver of the increase in CO2 production with temperature. In contrast, the decrease in CH4 production at 35°C was linked to the absence of syntrophic communities and the potential inhibitory effect of phenols on methanogens. Elevated temperatures further induced the microbial communities to develop high growth yield and stress tolerator trait-based strategies leading to a shift in their composition and function. On the other hand, SRBs were able to outcompete methanogens in the presence of non-limiting sulfate concentrations at 21°C, thereby reducing CH4 emissions. At higher sulfate concentrations, however, the prevalence of communities capable of producing sufficient low-molecular-weight carbon substrates for the coexistence of SRBs and methanogens was translated into elevated CH4 emissions. The use of omics in this study enhanced our understanding of the structure and interactions among microbes with the abiotic components of the system that can be useful for mitigating GHG emissions from peatland ecosystems in the face of global change.
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Affiliation(s)
- Roya AminiTabrizi
- Department of Environmental Science, The University of Arizona, Tucson, Arizona, USA
| | - Nathalia Graf-Grachet
- Department of Environmental Science, The University of Arizona, Tucson, Arizona, USA
| | - Rosalie K Chu
- Environmental Molecular Sciences Laboratory, Pacific Northwest National Laboratory, Richland, Washington, USA
| | - Jason G Toyoda
- Environmental Molecular Sciences Laboratory, Pacific Northwest National Laboratory, Richland, Washington, USA
| | - David W Hoyt
- Environmental Molecular Sciences Laboratory, Pacific Northwest National Laboratory, Richland, Washington, USA
| | - Rasha Hamdan
- Department of Chemistry and Biochemistry, Lebanese University, Beirut, Lebanon
| | - Rachel M Wilson
- Department of Earth, Ocean and Atmospheric Science, Florida State University, Tallahassee, Florida, USA
| | - Malak M Tfaily
- Department of Environmental Science, The University of Arizona, Tucson, Arizona, USA
- Environmental Molecular Sciences Laboratory, Pacific Northwest National Laboratory, Richland, Washington, USA
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9
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Tsai CF, Wang YT, Hsu CC, Kitata RB, Chu RK, Velickovic M, Zhao R, Williams SM, Chrisler WB, Jorgensen ML, Moore RJ, Zhu Y, Rodland KD, Smith RD, Wasserfall CH, Shi T, Liu T. A streamlined tandem tip-based workflow for sensitive nanoscale phosphoproteomics. Commun Biol 2023; 6:70. [PMID: 36653408 PMCID: PMC9849344 DOI: 10.1038/s42003-022-04400-x] [Citation(s) in RCA: 9] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/13/2022] [Accepted: 12/23/2022] [Indexed: 01/19/2023] Open
Abstract
Effective phosphoproteome of nanoscale sample analysis remains a daunting task, primarily due to significant sample loss associated with non-specific surface adsorption during enrichment of low stoichiometric phosphopeptide. We develop a tandem tip phosphoproteomics sample preparation method that is capable of sample cleanup and enrichment without additional sample transfer, and its integration with our recently developed SOP (Surfactant-assisted One-Pot sample preparation) and iBASIL (improved Boosting to Amplify Signal with Isobaric Labeling) approaches provides a streamlined workflow enabling sensitive, high-throughput nanoscale phosphoproteome measurements. This approach significantly reduces both sample loss and processing time, allowing the identification of >3000 (>9500) phosphopeptides from 1 (10) µg of cell lysate using the label-free method without a spectral library. It also enables precise quantification of ~600 phosphopeptides from 100 sorted cells (single-cell level input for the enriched phosphopeptides) and ~700 phosphopeptides from human spleen tissue voxels with a spatial resolution of 200 µm (equivalent to ~100 cells) in a high-throughput manner. The new workflow opens avenues for phosphoproteome profiling of mass-limited samples at the low nanogram level.
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Affiliation(s)
- Chia-Feng Tsai
- Biological Sciences Division, Pacific Northwest National Laboratory, Richland, WA, 99354, USA.
| | - Yi-Ting Wang
- Biological Sciences Division, Pacific Northwest National Laboratory, Richland, WA, 99354, USA
| | - Chuan-Chih Hsu
- Institute of Plant and Microbial Biology, Academia Sinica, Taipei, Taiwan
| | - Reta Birhanu Kitata
- Biological Sciences Division, Pacific Northwest National Laboratory, Richland, WA, 99354, USA
| | - Rosalie K Chu
- Biological Sciences Division, Pacific Northwest National Laboratory, Richland, WA, 99354, USA
| | - Marija Velickovic
- Environmental Molecular Sciences Laboratory, Pacific Northwest National Laboratory, Richland, WA, 99354, USA
| | - Rui Zhao
- Biological Sciences Division, Pacific Northwest National Laboratory, Richland, WA, 99354, USA
| | - Sarah M Williams
- Environmental Molecular Sciences Laboratory, Pacific Northwest National Laboratory, Richland, WA, 99354, USA
| | - William B Chrisler
- Biological Sciences Division, Pacific Northwest National Laboratory, Richland, WA, 99354, USA
| | - Marda L Jorgensen
- Department of Pathology, Immunology, and Laboratory Medicine, Diabetes Institute, College of Medicine, University of Florida, Gainesville, FL, 32611, USA
| | - Ronald J Moore
- Biological Sciences Division, Pacific Northwest National Laboratory, Richland, WA, 99354, USA
| | - Ying Zhu
- Environmental Molecular Sciences Laboratory, Pacific Northwest National Laboratory, Richland, WA, 99354, USA
| | - Karin D Rodland
- Biological Sciences Division, Pacific Northwest National Laboratory, Richland, WA, 99354, USA
| | - Richard D Smith
- Biological Sciences Division, Pacific Northwest National Laboratory, Richland, WA, 99354, USA
| | - Clive H Wasserfall
- Department of Pathology, Immunology, and Laboratory Medicine, Diabetes Institute, College of Medicine, University of Florida, Gainesville, FL, 32611, USA
| | - Tujin Shi
- Biological Sciences Division, Pacific Northwest National Laboratory, Richland, WA, 99354, USA.
| | - Tao Liu
- Biological Sciences Division, Pacific Northwest National Laboratory, Richland, WA, 99354, USA.
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10
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Forcisi S, Moritz F, Thompson CJ, Kanawati B, Uhl J, Afonso C, Bader CD, Barsch A, Boughton BA, Chu RK, Ferey J, Fernandez-Lima F, Guéguen C, Heintz D, Gomez-Hernandez M, Jang KS, Kessler N, Mangal V, Müller R, Nakabayashi R, Nicol E, Nicolardi S, Palmblad M, Paša-Tolić L, Porter J, Schmitz-Afonso I, Seo JB, Sommella E, van der Burgt YEM, Villette C, Witt M, Wittrig A, Wolff JJ, Easterling ML, Laukien FH, Schmitt-Kopplin P. Large-Scale Interlaboratory DI-FT-ICR MS Comparability Study Employing Various Systems. J Am Soc Mass Spectrom 2022; 33:2203-2214. [PMID: 36371691 PMCID: PMC9732881 DOI: 10.1021/jasms.2c00082] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Indexed: 06/16/2023]
Abstract
Ultrahigh resolution mass spectrometry (UHR-MS) coupled with direct infusion (DI) electrospray ionization offers a fast solution for accurate untargeted profiling. Fourier transform ion cyclotron resonance (FT-ICR) mass spectrometers have been shown to produce a wealth of insights into complex chemical systems because they enable unambiguous molecular formula assignment even if the vast majority of signals is of unknown identity. Interlaboratory comparisons are required to apply this type of instrumentation in quality control (for food industry or pharmaceuticals), large-scale environmental studies, or clinical diagnostics. Extended comparisons employing different FT-ICR MS instruments with qualitative direct infusion analysis are scarce since the majority of detected compounds cannot be quantified. The extent to which observations can be reproduced by different laboratories remains unknown. We set up a preliminary study which encompassed a set of 17 laboratories around the globe, diverse in instrumental characteristics and applications, to analyze the same sets of extracts from commercially available standard human blood plasma and Standard Reference Material (SRM) for blood plasma (SRM1950), which were delivered at different dilutions or spiked with different concentrations of pesticides. The aim of this study was to assess the extent to which the outputs of differently tuned FT-ICR mass spectrometers, with different technical specifications, are comparable for setting the frames of a future DI-FT-ICR MS ring trial. We concluded that a cluster of five laboratories, with diverse instrumental characteristics, showed comparable and representative performance across all experiments, setting a reference to be used in a future ring trial on blood plasma.
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Affiliation(s)
- Sara Forcisi
- Research Unit Analytical BioGeoChemistry, Helmholtz Zentrum München, 85764 Neuherberg, Germany
- German Center for Diabetes Research (DZD), 85764 Neuherberg, Germany
| | - Franco Moritz
- Research Unit Analytical BioGeoChemistry, Helmholtz Zentrum München, 85764 Neuherberg, Germany
| | | | - Basem Kanawati
- Research Unit Analytical BioGeoChemistry, Helmholtz Zentrum München, 85764 Neuherberg, Germany
| | - Jenny Uhl
- Research Unit Analytical BioGeoChemistry, Helmholtz Zentrum München, 85764 Neuherberg, Germany
| | - Carlos Afonso
- COBRA, UMR 6014 et FR 3038, INSA de Rouen, CNRS, IRCOF, Normandie Université, Université de Rouen, 76130 Cedex Mont Saint Aignan, France
| | - Chantal D Bader
- Helmholtz Institute for Pharmaceutical Research Saarland (HIPS), Helmholtz Centre for Infection Research, Saarland University Campus, 66123 Saarbrücken, Germany and Department of Pharmacy, Saarland University, 66123 Saarbrücken, Germany
| | - Aiko Barsch
- Bruker Daltonik GmbH, Fahrenheitstrasse 4, 28359 Bremen, Germany
| | - Berin A Boughton
- Metabolomics Australia, School of BioSciences, University of Melbourne, Melbourne, Victoria 3010, Australia
| | - Rosalie K Chu
- Environmental Molecular Sciences Laboratory, Pacific Northwest National Laboratory, Richland, Washington 99352, United States
| | - Justine Ferey
- COBRA, UMR 6014 et FR 3038, INSA de Rouen, CNRS, IRCOF, Normandie Université, Université de Rouen, 76130 Cedex Mont Saint Aignan, France
| | - Francisco Fernandez-Lima
- Department of Chemistry and Biochemistry, Florida International University, 11200 SW Eighth Street, AHC4-233, Miami, Florida 33199, United States
- Biomolecular Sciences Institute, Florida International University, 11200 Eighth Street, AHC4-211, Miami, Florida 33199, United States
| | - Céline Guéguen
- Chemistry Department, Trent University, 1600 West Bank Drive, Peterborough, ON K9J 7B8, Canada
| | - Dimitri Heintz
- Plant Imaging and Mass Spectrometry (PIMS), Institut de Biologie Moléculaire des Plantes, CNRS, Université de Strasbourg, 12 rue du Général Zimmer, 67084 Strasbourg, France
| | - Mario Gomez-Hernandez
- Department of Chemistry and Biochemistry, Florida International University, 11200 SW Eighth Street, AHC4-233, Miami, Florida 33199, United States
- Biomolecular Sciences Institute, Florida International University, 11200 Eighth Street, AHC4-211, Miami, Florida 33199, United States
| | - Kyoung-Soon Jang
- Bio-Chemical Analysis Team, Korea Basic Science Institute, Cheongju 28119, South Korea
| | - Nikolas Kessler
- Bruker Daltonik GmbH, Fahrenheitstrasse 4, 28359 Bremen, Germany
| | - Vaughn Mangal
- Chemistry Department, Trent University, 1600 West Bank Drive, Peterborough, ON K9J 7B8, Canada
| | - Rolf Müller
- Helmholtz Institute for Pharmaceutical Research Saarland (HIPS), Helmholtz Centre for Infection Research, Saarland University Campus, 66123 Saarbrücken, Germany and Department of Pharmacy, Saarland University, 66123 Saarbrücken, Germany
| | - Ryo Nakabayashi
- Metabolomics Research Group, RIKEN Center for Sustainable Resource Science, 1-7-22 Suehiro-cho, Tsurumi-ku, Yokohama 230-0045, Japan
| | - Edith Nicol
- Laboratoire de Chimie Moléculaire (LCM), CNRS, Ecole Polytechnique, Institut Polytechnique de Paris, 91128 Palaiseau, France
| | - Simone Nicolardi
- Center for Proteomics and Metabolomics, Leiden University Medical Center Leiden, 2333 ZC Leiden, The Netherlands
| | - Magnus Palmblad
- Center for Proteomics and Metabolomics, Leiden University Medical Center Leiden, 2333 ZC Leiden, The Netherlands
| | - Ljiljana Paša-Tolić
- Environmental Molecular Sciences Laboratory, Pacific Northwest National Laboratory, Richland, Washington 99352, United States
| | - Jacob Porter
- Department of Chemistry and Biochemistry, Florida International University, 11200 SW Eighth Street, AHC4-233, Miami, Florida 33199, United States
- Biomolecular Sciences Institute, Florida International University, 11200 Eighth Street, AHC4-211, Miami, Florida 33199, United States
| | - Isabelle Schmitz-Afonso
- COBRA, UMR 6014 et FR 3038, INSA de Rouen, CNRS, IRCOF, Normandie Université, Université de Rouen, 76130 Cedex Mont Saint Aignan, France
| | - Jong Bok Seo
- Seoul Center, Korea Basic Science Institute, 145, Anam-Ro, Seongbuk-Gu 02841, Seoul, South Korea
| | - Eduardo Sommella
- Department of Pharmacy, University of Salerno, Via Giovanni Paolo II, 132, 84084 Fisciano (SA), Italy
| | - Yuri E M van der Burgt
- Center for Proteomics and Metabolomics, Leiden University Medical Center Leiden, 2333 ZC Leiden, The Netherlands
| | - Claire Villette
- Plant Imaging and Mass Spectrometry (PIMS), Institut de Biologie Moléculaire des Plantes, CNRS, Université de Strasbourg, 12 rue du Général Zimmer, 67084 Strasbourg, France
| | - Matthias Witt
- Bruker Daltonik GmbH, Fahrenheitstrasse 4, 28359 Bremen, Germany
| | - Ashley Wittrig
- ExxonMobil Research and Engineering Company, 1545 Route 22 East, Clinton, New Jersey 08869, United States
| | - Jeremy J Wolff
- Bruker Daltonics Inc., Billerica, Massachusetts 01821, United States
| | | | - Frank H Laukien
- Bruker Daltonics Inc., Billerica, Massachusetts 01821, United States
- Department of Chemistry & Chemical Biology, Cambridge, Harvard University, Cambridge, Massachusetts 02138, United States
| | - Philippe Schmitt-Kopplin
- Research Unit Analytical BioGeoChemistry, Helmholtz Zentrum München, 85764 Neuherberg, Germany
- German Center for Diabetes Research (DZD), 85764 Neuherberg, Germany
- Analytical Food Chemistry, Technical University of Munich, 85354 Freising, Germany
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11
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Ulrich DEM, Clendinen CS, Alongi F, Mueller RC, Chu RK, Toyoda J, Gallegos-Graves LV, Goemann HM, Peyton B, Sevanto S, Dunbar J. Root exudate composition reflects drought severity gradient in blue grama (Bouteloua gracilis). Sci Rep 2022; 12:12581. [PMID: 35869127 PMCID: PMC9307599 DOI: 10.1038/s41598-022-16408-8] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/10/2021] [Accepted: 07/11/2022] [Indexed: 12/22/2022] Open
Abstract
Plant survival during environmental stress greatly affects ecosystem carbon (C) cycling, and plant–microbe interactions are central to plant stress survival. The release of C-rich root exudates is a key mechanism plants use to manage their microbiome, attracting beneficial microbes and/or suppressing harmful microbes to help plants withstand environmental stress. However, a critical knowledge gap is how plants alter root exudate concentration and composition under varying stress levels. In a greenhouse study, we imposed three drought treatments (control, mild, severe) on blue grama (Bouteloua gracilis Kunth Lag. Ex Griffiths), and measured plant physiology and root exudate concentration and composition using GC–MS, NMR, and FTICR. With increasing drought severity, root exudate total C and organic C increased concurrently with declining predawn leaf water potential and photosynthesis. Root exudate composition mirrored the physiological gradient of drought severity treatments. Specific compounds that are known to alter plant drought responses and the rhizosphere microbiome mirrored the drought severity-induced root exudate compositional gradient. Despite reducing C uptake, these plants actively invested C to root exudates with increasing drought severity. Patterns of plant physiology and root exudate concentration and composition co-varied along a gradient of drought severity.
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12
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Colleary C, O’Reilly S, Dolocan A, Toyoda JG, Chu RK, Tfaily MM, Hochella MF, Nesbitt SJ. Using Macro- and Microscale Preservation in Vertebrate Fossils as Predictors for Molecular Preservation in Fluvial Environments. Biology 2022; 11:biology11091304. [PMID: 36138783 PMCID: PMC9495945 DOI: 10.3390/biology11091304] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/30/2022] [Revised: 08/18/2022] [Accepted: 08/26/2022] [Indexed: 11/16/2022]
Abstract
Exceptionally preserved fossils retain soft tissues and often the biomolecules that were present in an animal during its life. The majority of terrestrial vertebrate fossils are not traditionally considered exceptionally preserved, with fossils falling on a spectrum ranging from very well-preserved to poorly preserved when considering completeness, morphology and the presence of microstructures. Within this variability of anatomical preservation, high-quality macro-scale preservation (e.g., articulated skeletons) may not be reflected in molecular-scale preservation (i.e., biomolecules). Excavation of the Hayden Quarry (HQ; Chinle Formation, Ghost Ranch, NM, USA) has resulted in the recovery of thousands of fossilized vertebrate specimens. This has contributed greatly to our knowledge of early dinosaur evolution and paleoenvironmental conditions during the Late Triassic Period (~212 Ma). The number of specimens, completeness of skeletons and fidelity of osteohistological microstructures preserved in the bone all demonstrate the remarkable quality of the fossils preserved at this locality. Because the Hayden Quarry is an excellent example of good preservation in a fluvial environment, we have tested different fossil types (i.e., bone, tooth, coprolite) to examine the molecular preservation and overall taphonomy of the HQ to determine how different scales of preservation vary within a single locality. We used multiple high-resolution mass spectrometry techniques (TOF-SIMS, GC-MS, FT-ICR MS) to compare the fossils to unaltered bone from extant vertebrates, experimentally matured bone, and younger dinosaurian skeletal material from other fluvial environments. FT-ICR MS provides detailed molecular information about complex mixtures, and TOF-SIMS has high elemental spatial sensitivity. Using these techniques, we did not find convincing evidence of a molecular signal that can be confidently interpreted as endogenous, indicating that very good macro- and microscale preservation are not necessarily good predictors of molecular preservation.
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Affiliation(s)
- Caitlin Colleary
- Department of Geosciences, Virginia Tech, Blacksburg, VA 24061, USA
- Cleveland Museum of Natural History, Cleveland, OH 44106, USA
- Correspondence:
| | - Shane O’Reilly
- Atlantic Technological University, ATU Sligo, Ash Lane, F91 YW50 Sligo, Ireland
| | - Andrei Dolocan
- Texas Materials Institute, University of Texas at Austin, Austin, TX 78712, USA
| | - Jason G. Toyoda
- Environmental Molecular Sciences Laboratory, Pacific Northwest National Laboratory, Richland, WA 99354, USA
| | - Rosalie K. Chu
- Environmental Molecular Sciences Laboratory, Pacific Northwest National Laboratory, Richland, WA 99354, USA
| | - Malak M. Tfaily
- Environmental Molecular Sciences Laboratory, Pacific Northwest National Laboratory, Richland, WA 99354, USA
- Department of Environmental Science, University of Arizona, Tucson, AZ 87519, USA
| | - Michael F. Hochella
- Department of Geosciences, Virginia Tech, Blacksburg, VA 24061, USA
- Earth Systems Science Division, Pacific Northwest National Laboratory, Richland, WA 99354, USA
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13
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Nelson AR, Narrowe AB, Rhoades CC, Fegel TS, Daly RA, Roth HK, Chu RK, Amundson KK, Young RB, Steindorff AS, Mondo SJ, Grigoriev IV, Salamov A, Borch T, Wilkins MJ. Wildfire-dependent changes in soil microbiome diversity and function. Nat Microbiol 2022; 7:1419-1430. [PMID: 36008619 PMCID: PMC9418001 DOI: 10.1038/s41564-022-01203-y] [Citation(s) in RCA: 28] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2021] [Accepted: 07/18/2022] [Indexed: 12/13/2022]
Abstract
Forest soil microbiomes have crucial roles in carbon storage, biogeochemical cycling and rhizosphere processes. Wildfire season length, and the frequency and size of severe fires have increased owing to climate change. Fires affect ecosystem recovery and modify soil microbiomes and microbially mediated biogeochemical processes. To study wildfire-dependent changes in soil microbiomes, we characterized functional shifts in the soil microbiota (bacteria, fungi and viruses) across burn severity gradients (low, moderate and high severity) 1 yr post fire in coniferous forests in Colorado and Wyoming, USA. We found severity-dependent increases of Actinobacteria encoding genes for heat resistance, fast growth, and pyrogenic carbon utilization that might enhance post-fire survival. We report that increased burn severity led to the loss of ectomycorrhizal fungi and less tolerant microbial taxa. Viruses remained active in post-fire soils and probably influenced carbon cycling and biogeochemistry via turnover of biomass and ecosystem-relevant auxiliary metabolic genes. Our genome-resolved analyses link post-fire soil microbial taxonomy to functions and reveal the complexity of post-fire soil microbiome activity. Wildfires have unknown impacts on soil microbes and biogeochemistry. Using metagenomics across forest burn gradients, here the authors show severity-dependent losses in microbiome diversity and functional shifts that underpin post-fire survival.
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Affiliation(s)
- Amelia R Nelson
- Department of Soil and Crop Sciences, Colorado State University, Fort Collins, CO, USA
| | - Adrienne B Narrowe
- Department of Soil and Crop Sciences, Colorado State University, Fort Collins, CO, USA.,Eastern Regional Research Center, Agricultural Research Service, Wyndmoor, PA, USA
| | - Charles C Rhoades
- Rocky Mountain Research Station, U.S. Forest Service, Fort Collins, CO, USA
| | - Timothy S Fegel
- Rocky Mountain Research Station, U.S. Forest Service, Fort Collins, CO, USA
| | - Rebecca A Daly
- Department of Soil and Crop Sciences, Colorado State University, Fort Collins, CO, USA
| | - Holly K Roth
- Department of Chemistry, Colorado State University, Fort Collins, CO, USA
| | - Rosalie K Chu
- Environmental Molecular Sciences Laboratory, Pacific Northwest National Laboratory, Richland, WA, USA
| | - Kaela K Amundson
- Department of Soil and Crop Sciences, Colorado State University, Fort Collins, CO, USA
| | - Robert B Young
- Chemical Analysis and Instrumentation Laboratory, New Mexico State University, Las Cruces, NM, USA
| | - Andrei S Steindorff
- Department of Energy Joint Genome Institute, Lawrence Berkeley National Laboratory, Berkeley, CA, USA
| | - Stephen J Mondo
- Department of Energy Joint Genome Institute, Lawrence Berkeley National Laboratory, Berkeley, CA, USA.,Department of Agricultural Biology, Colorado State University, Fort Collins, CO, USA
| | - Igor V Grigoriev
- Department of Energy Joint Genome Institute, Lawrence Berkeley National Laboratory, Berkeley, CA, USA.,Department of Plant and Microbial Biology, University of California Berkeley, Berkeley, CA, USA
| | - Asaf Salamov
- Department of Energy Joint Genome Institute, Lawrence Berkeley National Laboratory, Berkeley, CA, USA
| | - Thomas Borch
- Department of Soil and Crop Sciences, Colorado State University, Fort Collins, CO, USA.,Department of Chemistry, Colorado State University, Fort Collins, CO, USA.,Department of Civil and Environmental Engineering, Colorado State University, Fort Collins, CO, USA
| | - Michael J Wilkins
- Department of Soil and Crop Sciences, Colorado State University, Fort Collins, CO, USA.
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14
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Nelson AR, Toyoda J, Chu RK, Tolić N, Garayburu-Caruso VA, Saup CM, Renteria L, Wells JR, Stegen JC, Wilkins MJ, Danczak RE. Implications of sample treatment on characterization of riverine dissolved organic matter. Environ Sci Process Impacts 2022; 24:773-782. [PMID: 35416230 DOI: 10.1039/d2em00044j] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/14/2023]
Abstract
High-resolution mass spectrometry techniques are widely used in the environmental sciences to characterize natural organic matter and, when utilizing these instruments, researchers must make multiple decisions regarding sample pre-treatment and the instrument ionization mode. To identify how these choices alter organic matter characterization and resulting conclusions, we analyzed a collection of 17 riverine samples from East River, CO (USA) under four PPL-based Solid Phase Extraction (SPE) treatment and electrospray ionization polarity (e.g., positive and negative) combinations: SPE (+), SPE (-), non-SPE (-), and non-SPE (+). The greatest number of formula assignments were achieved with SPE-treated samples due to the removal of compounds that could interfere with ionization. Furthermore, the SPE (-) treatment captured the most formulas across the widest chemical compound diversity. In addition to a reduced number of assigned formulas, the non-SPE datasets resulted in altered thermodynamic interpretations that could cascade into incomplete assumptions about the availability of organic matter pools for heterotrophic microbial respiration. Thus, we infer that the SPE (-) treatment is the best single method for characterizing environmental organic matter pools unless the focus is on lipid-like compounds, in which case we recommend a combination of SPE (-) and SPE (+) to adequately characterize these molecules.
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Affiliation(s)
| | - Jason Toyoda
- School of Earth Sciences, The Ohio State University, USA
| | - Rosalie K Chu
- School of Earth Sciences, The Ohio State University, USA
| | - Nikola Tolić
- School of Earth Sciences, The Ohio State University, USA
| | | | | | - Lupita Renteria
- Environmental Molecular Sciences Laboratory, Pacific Northwest National Laboratory, USA
| | - Jacqueline R Wells
- Environmental Molecular Sciences Laboratory, Pacific Northwest National Laboratory, USA
| | - James C Stegen
- Environmental Molecular Sciences Laboratory, Pacific Northwest National Laboratory, USA
| | | | - Robert E Danczak
- Environmental Molecular Sciences Laboratory, Pacific Northwest National Laboratory, USA
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15
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Danczak RE, Sengupta A, Fansler SJ, Chu RK, Garayburu-Caruso VA, Renteria L, Toyoda J, Wells J, Stegen JC. Inferring the Contribution of Microbial Taxa and Organic Matter Molecular Formulas to Ecological Assembly. Front Microbiol 2022; 13:803420. [PMID: 35250925 PMCID: PMC8894727 DOI: 10.3389/fmicb.2022.803420] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/28/2021] [Accepted: 01/14/2022] [Indexed: 11/23/2022] Open
Abstract
Understanding the mechanisms underlying the assembly of communities has long been the goal of many ecological studies. While several studies have evaluated community wide ecological assembly, fewer have focused on investigating the impacts of individual members within a community or assemblage on ecological assembly. Here, we adapted a previous null model β-nearest taxon index (βNTI) to measure the contribution of individual features within an ecological community to overall assembly. This new metric, called feature-level βNTI (βNTIfeat), enables researchers to determine whether ecological features (e.g., individual microbial taxa) contribute to divergence, convergence, or have insignificant impacts across spatiotemporally resolved metacommunities or meta-assemblages. Using βNTIfeat, we revealed that unclassified microbial lineages often contributed to community divergence while diverse groups (e.g., Crenarchaeota, Alphaproteobacteria, and Gammaproteobacteria) contributed to convergence. We also demonstrate that βNTIfeat can be extended to other ecological assemblages such as organic molecules comprising organic matter (OM) pools. OM had more inconsistent trends compared to the microbial community though CHO-containing molecular formulas often contributed to convergence, while nitrogen and phosphorus-containing formulas contributed to both convergence and divergence. A network analysis was used to relate βNTIfeat values from the putatively active microbial community and the OM assemblage and examine potentially common contributions to ecological assembly across different communities/assemblages. This analysis revealed that P-containing formulas often contributed to convergence/divergence separately from other ecological features and N-containing formulas often contributed to assembly in coordination with microorganisms. Additionally, members of Family Geobacteraceae were often observed to contribute to convergence/divergence in conjunction with both N- and P-containing formulas, suggesting a coordinated ecological role for family members and the nitrogen/phosphorus cycle. Overall, we show that βNTIfeat offers opportunities to investigate the community or assemblage members, which shape the phylogenetic or functional landscape, and demonstrate the potential to evaluate potential points of coordination across various community types.
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Affiliation(s)
- Robert E. Danczak
- Ecosystem Sciences, Pacific Northwest National Laboratory, Richland, WA, United States
- *Correspondence: Robert E. Danczak,
| | - Aditi Sengupta
- Department of Biology, California Lutheran University, Thousand Oaks, CA, United States
| | - Sarah J. Fansler
- Ecosystem Sciences, Pacific Northwest National Laboratory, Richland, WA, United States
| | - Rosalie K. Chu
- Environmental Molecular Sciences Laboratory, Pacific Northwest National Laboratory, Richland, WA, United States
| | | | - Lupita Renteria
- Ecosystem Sciences, Pacific Northwest National Laboratory, Richland, WA, United States
| | - Jason Toyoda
- Environmental Molecular Sciences Laboratory, Pacific Northwest National Laboratory, Richland, WA, United States
| | - Jacqueline Wells
- Ecosystem Sciences, Pacific Northwest National Laboratory, Richland, WA, United States
| | - James C. Stegen
- Ecosystem Sciences, Pacific Northwest National Laboratory, Richland, WA, United States
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16
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Chen H, Ersan MS, Tolić N, Chu RK, Karanfil T, Chow AT. Chemical characterization of dissolved organic matter as disinfection byproduct precursors by UV/fluorescence and ESI FT-ICR MS after smoldering combustion of leaf needles and woody trunks of pine (Pinus jeffreyi). Water Res 2022; 209:117962. [PMID: 34942450 DOI: 10.1016/j.watres.2021.117962] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/08/2021] [Revised: 12/07/2021] [Accepted: 12/08/2021] [Indexed: 06/14/2023]
Abstract
Forested land plays an essential role in water supply across the United States (US). Smoldering commonly existing in wildfires contributes significantly to biomass consumption and gas emission, but its influence on source water quality has been rarely studied. Here, we investigated the impact of smoldering temperature (i.e., no burn, 250, 400, and 600 °C) on the nutrients, elements, and dissolved organic matter (DOM) of water extracts from the residues of the leaf needles and woody trunks of pine (Pinus jeffreyi) under the lab-simulated smoldering fire. Results showed the increase of pH and the yields of the dominated exchangeable cations of K+ and Mg2+, P, PO43--P, and SO42- with increasing temperature increasing from 250 to 600 °C, whereas significant decreases in the fraction of dissolved organic C in residue C with increasing temperature and the yields of dissolved organic carbon (DOC) and dissolved organic nitrogen (DON) after burnings. Fourier transform ion cyclotron resonance mass spectrometry (FT-ICR MS) presented consistent results with UV/fluorescence, suggesting that the unburned materials contained more biodegradable tyrosine/tryptophan/soluble microbial byproduct-like compounds with high molecular weight (MW), whereas the 600 °C-smoldering materials composed of more aromatic, humified, fulvic/humic acid-like, and oxidized compounds with a potentially high density of C=C bonds had less reactivity in forming trihalomethanes (THMs) and haloacetonitriles (HANs). Our study indicates the smoldering-dominated prescribed fire as a potential forest management strategy for reducing biomass fuel and disinfection byproducts (DBPs) precursors in source water from forested lands.
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Affiliation(s)
- Huan Chen
- Biogeochemistry & Environmental Quality Research Group, Clemson University, South Carolina 29442, United States; Department of Environmental Engineering and Earth Sciences, Clemson University, South Carolina 29634, United States
| | - Mahmut Selim Ersan
- Department of Environmental Engineering and Earth Sciences, Clemson University, South Carolina 29634, United States; School of Sustainable Engineering and The Built Environment, Arizona State University, Tempe, Arizona 85281, United States
| | - Nikola Tolić
- Environmental Molecular Sciences Laboratory, Pacific Northwest National Laboratory, Richland, Washington 99354, United States
| | - Rosalie K Chu
- Environmental Molecular Sciences Laboratory, Pacific Northwest National Laboratory, Richland, Washington 99354, United States
| | - Tanju Karanfil
- Department of Environmental Engineering and Earth Sciences, Clemson University, South Carolina 29634, United States
| | - Alex T Chow
- Biogeochemistry & Environmental Quality Research Group, Clemson University, South Carolina 29442, United States; Department of Environmental Engineering and Earth Sciences, Clemson University, South Carolina 29634, United States.
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17
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Danczak RE, Goldman AE, Chu RK, Toyoda JG, Garayburu-Caruso VA, Tolić N, Graham EB, Morad JW, Renteria L, Wells JR, Herzog SP, Ward AS, Stegen JC. Ecological theory applied to environmental metabolomes reveals compositional divergence despite conserved molecular properties. Sci Total Environ 2021; 788:147409. [PMID: 34022577 DOI: 10.1016/j.scitotenv.2021.147409] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/17/2020] [Revised: 04/21/2021] [Accepted: 04/24/2021] [Indexed: 06/12/2023]
Abstract
Stream and river systems transport and process substantial amounts of dissolved organic matter (DOM) from terrestrial and aquatic sources to the ocean, with global biogeochemical implications. However, the underlying mechanisms affecting the spatiotemporal organization of DOM composition are under-investigated. To understand the principles governing DOM composition, we leverage the recently proposed synthesis of metacommunity ecology and metabolomics, termed 'meta-metabolome ecology.' Applying this novel approach to a freshwater ecosystem, we demonstrated that despite similar molecular properties across metabolomes, metabolite identity significantly diverged due to environmental filtering and variations in putative biochemical transformations. We refer to this phenomenon as 'thermodynamic redundancy,' which is analogous to the ecological concept of functional redundancy. We suggest that under thermodynamic redundancy, divergent metabolomes can support equivalent biogeochemical function just as divergent ecological communities can support equivalent ecosystem function. As these analyses are performed in additional ecosystems, potentially generalizable concepts, like thermodynamic redundancy, can be revealed and provide insight into DOM dynamics.
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Affiliation(s)
| | - Amy E Goldman
- Pacific Northwest National Laboratory, Washington, USA
| | - Rosalie K Chu
- Environmental Molecular Sciences Laboratory, Washington, USA
| | - Jason G Toyoda
- Environmental Molecular Sciences Laboratory, Washington, USA
| | | | - Nikola Tolić
- Environmental Molecular Sciences Laboratory, Washington, USA
| | | | | | | | - Jacqueline R Wells
- Pacific Northwest National Laboratory, Washington, USA; Oregon State University, Oregon, USA
| | - Skuyler P Herzog
- O'Neil School of Public Environmental Affairs, Indiana University, Indiana, USA
| | - Adam S Ward
- O'Neil School of Public Environmental Affairs, Indiana University, Indiana, USA
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18
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Birer-Williams CMC, Chu RK, Anderton CR, Wright ES. SubTap, a Versatile 3D Printed Platform for Eavesdropping on Extracellular Interactions. mSystems 2021; 6:e0090221. [PMID: 34427520 PMCID: PMC8422993 DOI: 10.1128/msystems.00902-21] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/13/2021] [Accepted: 08/09/2021] [Indexed: 11/20/2022] Open
Abstract
Communication within the microbiome occurs through an immense diversity of small molecules. Capturing these microbial interactions is a significant challenge due to the complexity of the exometabolome and its sensitivity to environmental stimuli. Traditional methods for acquiring exometabolomic data from interacting microorganisms are limited by their low throughput or lack of sampling depth. To address this challenge, we introduce subtapping (short for substrate tapping), a technique for tapping into extracellular metabolites that are being transferred through the growth substrate during coculture. High-throughput subtapping is made possible by a new coculturing platform, named SubTap, that we engineered to resemble a 96-well plate. The three-dimensional (3D) printed SubTap platform captures the exometabolome in an agar compartment that connects physically separated growth chambers, which permits cell growth without competition for space. We show how SubTap facilitates replicable and quick detection of exometabolites via direct infusion mass spectrometry analysis. Using bacterial isolates from the soil, we apply SubTap to characterize the effects of growth medium, growth duration, and mixed versus unmixed coculturing on the exometabolome. Finally, we demonstrate SubTap's versatility by interrogating microbial interactions in multicultures with up to four strains. IMPORTANCE Improvements in experimental techniques and instrumentation have led to the discovery that the microbiome plays an essential role in human and environmental health. Nevertheless, there remain major impediments to conducting large-scale interrogations of the microbiome in a high-throughput manner, particularly in the field of exometabolomics. Existing methods to coculture microorganisms and interrogate their interactions are labor-intensive and low throughput. This inspired us to develop a solution for coculturing that was (i) open source, (ii) inexpensive, (iii) scalable, (iv) customizable, and (v) compatible with existing mass spectrometry instrumentation. Here, we present SubTap-a 3D printed coculturing platform that permits tapping directly into the growth substrate between physically separated, but interconnected, growth compartments. SubTap allows multiculture (with up to four distinct growth compartments) in spatially mixed or unmixed configurations and enables repeatable results with mass spectrometry, as shown by our validation with known compounds and cultures of one to four organisms.
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Affiliation(s)
- Caroline M. C. Birer-Williams
- Biomolécules et Biotechnologies Végétales (BBV) EA 2106, Université de Tours, Tours, France
- Department of Biomedical Informatics, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, USA
| | - Rosalie K. Chu
- Environmental Molecular Sciences Laboratory, Pacific Northwest National Laboratory, Richland, Washington, USA
| | - Christopher R. Anderton
- Environmental Molecular Sciences Laboratory, Pacific Northwest National Laboratory, Richland, Washington, USA
| | - Erik S. Wright
- Department of Biomedical Informatics, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, USA
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19
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Wang LB, Karpova A, Gritsenko MA, Kyle JE, Cao S, Li Y, Rykunov D, Colaprico A, Rothstein JH, Hong R, Stathias V, Cornwell M, Petralia F, Wu Y, Reva B, Krug K, Pugliese P, Kawaler E, Olsen LK, Liang WW, Song X, Dou Y, Wendl MC, Caravan W, Liu W, Cui Zhou D, Ji J, Tsai CF, Petyuk VA, Moon J, Ma W, Chu RK, Weitz KK, Moore RJ, Monroe ME, Zhao R, Yang X, Yoo S, Krek A, Demopoulos A, Zhu H, Wyczalkowski MA, McMichael JF, Henderson BL, Lindgren CM, Boekweg H, Lu S, Baral J, Yao L, Stratton KG, Bramer LM, Zink E, Couvillion SP, Bloodsworth KJ, Satpathy S, Sieh W, Boca SM, Schürer S, Chen F, Wiznerowicz M, Ketchum KA, Boja ES, Kinsinger CR, Robles AI, Hiltke T, Thiagarajan M, Nesvizhskii AI, Zhang B, Mani DR, Ceccarelli M, Chen XS, Cottingham SL, Li QK, Kim AH, Fenyö D, Ruggles KV, Rodriguez H, Mesri M, Payne SH, Resnick AC, Wang P, Smith RD, Iavarone A, Chheda MG, Barnholtz-Sloan JS, Rodland KD, Liu T, Ding L. Proteogenomic and metabolomic characterization of human glioblastoma. Cancer Cell 2021; 39:509-528.e20. [PMID: 33577785 PMCID: PMC8044053 DOI: 10.1016/j.ccell.2021.01.006] [Citation(s) in RCA: 275] [Impact Index Per Article: 91.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/03/2020] [Revised: 06/02/2020] [Accepted: 01/11/2021] [Indexed: 02/07/2023]
Abstract
Glioblastoma (GBM) is the most aggressive nervous system cancer. Understanding its molecular pathogenesis is crucial to improving diagnosis and treatment. Integrated analysis of genomic, proteomic, post-translational modification and metabolomic data on 99 treatment-naive GBMs provides insights to GBM biology. We identify key phosphorylation events (e.g., phosphorylated PTPN11 and PLCG1) as potential switches mediating oncogenic pathway activation, as well as potential targets for EGFR-, TP53-, and RB1-altered tumors. Immune subtypes with distinct immune cell types are discovered using bulk omics methodologies, validated by snRNA-seq, and correlated with specific expression and histone acetylation patterns. Histone H2B acetylation in classical-like and immune-low GBM is driven largely by BRDs, CREBBP, and EP300. Integrated metabolomic and proteomic data identify specific lipid distributions across subtypes and distinct global metabolic changes in IDH-mutated tumors. This work highlights biological relationships that could contribute to stratification of GBM patients for more effective treatment.
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Affiliation(s)
- Liang-Bo Wang
- Department of Medicine, Washington University in St. Louis, St. Louis, MO 63130, USA; McDonnell Genome Institute, Washington University in St. Louis, St. Louis, MO 63130, USA
| | - Alla Karpova
- Department of Medicine, Washington University in St. Louis, St. Louis, MO 63130, USA; McDonnell Genome Institute, Washington University in St. Louis, St. Louis, MO 63130, USA
| | - Marina A Gritsenko
- Biological Sciences Division, Pacific Northwest National Laboratory, Richland, WA 99354, USA
| | - Jennifer E Kyle
- Biological Sciences Division, Pacific Northwest National Laboratory, Richland, WA 99354, USA
| | - Song Cao
- Department of Medicine, Washington University in St. Louis, St. Louis, MO 63130, USA; McDonnell Genome Institute, Washington University in St. Louis, St. Louis, MO 63130, USA
| | - Yize Li
- Department of Medicine, Washington University in St. Louis, St. Louis, MO 63130, USA; McDonnell Genome Institute, Washington University in St. Louis, St. Louis, MO 63130, USA
| | - Dmitry Rykunov
- Department of Genetics and Genomic Sciences, Icahn Institute of Genomics and Multiscale Biology, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Antonio Colaprico
- Sylvester Comprehensive Cancer Center, University of Miami, FL 33136, USA; Division of Biostatistics, Department of Public Health Science, University of Miami, FL 33136, USA
| | - Joseph H Rothstein
- Department of Genetics and Genomic Sciences, Icahn Institute of Genomics and Multiscale Biology, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Runyu Hong
- Institute for Systems Genetics, NYU Grossman School of Medicine, New York, NY 10016, USA; Department of Biochemistry and Molecular Pharmacology, NYU Grossman School of Medicine, New York, NY 10016, USA
| | - Vasileios Stathias
- Sylvester Comprehensive Cancer Center, University of Miami, FL 33136, USA; Department of Molecular and Cellular Pharmacology, Miller School of Medicine, University of Miami, Miami, FL 33136, USA; BD2K-LINCS Data Coordination and Integration Center, Miami, FL 33136, USA
| | - MacIntosh Cornwell
- Institute for Systems Genetics, NYU Grossman School of Medicine, New York, NY 10016, USA; Department of Medicine, NYU Grossman School of Medicine, New York, NY 10016, USA
| | - Francesca Petralia
- Department of Genetics and Genomic Sciences, Icahn Institute of Genomics and Multiscale Biology, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Yige Wu
- Department of Medicine, Washington University in St. Louis, St. Louis, MO 63130, USA; McDonnell Genome Institute, Washington University in St. Louis, St. Louis, MO 63130, USA
| | - Boris Reva
- Department of Genetics and Genomic Sciences, Icahn Institute of Genomics and Multiscale Biology, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Karsten Krug
- Broad Institute of Massachusetts Institute of Technology and Harvard, Cambridge, MA 02142, USA
| | - Pietro Pugliese
- Department of Science and Technology, University of Sannio, 82100, Benevento, Italy
| | - Emily Kawaler
- Institute for Systems Genetics, NYU Grossman School of Medicine, New York, NY 10016, USA; Department of Biochemistry and Molecular Pharmacology, NYU Grossman School of Medicine, New York, NY 10016, USA
| | - Lindsey K Olsen
- Department of Biology, Brigham Young University, Provo, UT 84602, USA
| | - Wen-Wei Liang
- Department of Medicine, Washington University in St. Louis, St. Louis, MO 63130, USA; McDonnell Genome Institute, Washington University in St. Louis, St. Louis, MO 63130, USA
| | - Xiaoyu Song
- Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA; Department of Population Health Science and Policy, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Yongchao Dou
- Lester and Sue Smith Breast Center, Baylor College of Medicine, Houston, TX 77030, USA; Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX 77030, USA
| | - Michael C Wendl
- McDonnell Genome Institute, Washington University in St. Louis, St. Louis, MO 63130, USA; Department of Genetics, Washington University in St. Louis, St. Louis, MO 63130, USA; Department of Mathematics, Washington University in St. Louis, St. Louis, MO 63130, USA
| | - Wagma Caravan
- Department of Medicine, Washington University in St. Louis, St. Louis, MO 63130, USA; McDonnell Genome Institute, Washington University in St. Louis, St. Louis, MO 63130, USA
| | - Wenke Liu
- Institute for Systems Genetics, NYU Grossman School of Medicine, New York, NY 10016, USA; Department of Biochemistry and Molecular Pharmacology, NYU Grossman School of Medicine, New York, NY 10016, USA
| | - Daniel Cui Zhou
- Department of Medicine, Washington University in St. Louis, St. Louis, MO 63130, USA; McDonnell Genome Institute, Washington University in St. Louis, St. Louis, MO 63130, USA
| | - Jiayi Ji
- Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA; Department of Population Health Science and Policy, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Chia-Feng Tsai
- Biological Sciences Division, Pacific Northwest National Laboratory, Richland, WA 99354, USA
| | - Vladislav A Petyuk
- Biological Sciences Division, Pacific Northwest National Laboratory, Richland, WA 99354, USA
| | - Jamie Moon
- Biological Sciences Division, Pacific Northwest National Laboratory, Richland, WA 99354, USA
| | - Weiping Ma
- Department of Genetics and Genomic Sciences, Icahn Institute of Genomics and Multiscale Biology, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Rosalie K Chu
- Biological Sciences Division, Pacific Northwest National Laboratory, Richland, WA 99354, USA
| | - Karl K Weitz
- Biological Sciences Division, Pacific Northwest National Laboratory, Richland, WA 99354, USA
| | - Ronald J Moore
- Biological Sciences Division, Pacific Northwest National Laboratory, Richland, WA 99354, USA
| | - Matthew E Monroe
- Biological Sciences Division, Pacific Northwest National Laboratory, Richland, WA 99354, USA
| | - Rui Zhao
- Biological Sciences Division, Pacific Northwest National Laboratory, Richland, WA 99354, USA
| | - Xiaolu Yang
- Department of Medicine, Washington University in St. Louis, St. Louis, MO 63130, USA; Poznań University of Medical Sciences, 61-701 Poznań, Poland
| | - Seungyeul Yoo
- Department of Genetics and Genomic Sciences, Icahn Institute of Genomics and Multiscale Biology, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Azra Krek
- Department of Genetics and Genomic Sciences, Icahn Institute of Genomics and Multiscale Biology, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Alexis Demopoulos
- Department of Neurology, Northwell Health System, Lake Success, NY 11042 USA
| | - Houxiang Zhu
- Department of Medicine, Washington University in St. Louis, St. Louis, MO 63130, USA; McDonnell Genome Institute, Washington University in St. Louis, St. Louis, MO 63130, USA
| | - Matthew A Wyczalkowski
- Department of Medicine, Washington University in St. Louis, St. Louis, MO 63130, USA; McDonnell Genome Institute, Washington University in St. Louis, St. Louis, MO 63130, USA
| | - Joshua F McMichael
- Department of Medicine, Washington University in St. Louis, St. Louis, MO 63130, USA; McDonnell Genome Institute, Washington University in St. Louis, St. Louis, MO 63130, USA
| | | | - Caleb M Lindgren
- Department of Biology, Brigham Young University, Provo, UT 84602, USA
| | - Hannah Boekweg
- Department of Biology, Brigham Young University, Provo, UT 84602, USA
| | - Shuangjia Lu
- Department of Medicine, Washington University in St. Louis, St. Louis, MO 63130, USA; McDonnell Genome Institute, Washington University in St. Louis, St. Louis, MO 63130, USA
| | - Jessika Baral
- Department of Medicine, Washington University in St. Louis, St. Louis, MO 63130, USA; McDonnell Genome Institute, Washington University in St. Louis, St. Louis, MO 63130, USA
| | - Lijun Yao
- Department of Medicine, Washington University in St. Louis, St. Louis, MO 63130, USA; McDonnell Genome Institute, Washington University in St. Louis, St. Louis, MO 63130, USA
| | - Kelly G Stratton
- Biological Sciences Division, Pacific Northwest National Laboratory, Richland, WA 99354, USA
| | - Lisa M Bramer
- Biological Sciences Division, Pacific Northwest National Laboratory, Richland, WA 99354, USA
| | - Erika Zink
- Biological Sciences Division, Pacific Northwest National Laboratory, Richland, WA 99354, USA
| | - Sneha P Couvillion
- Biological Sciences Division, Pacific Northwest National Laboratory, Richland, WA 99354, USA
| | - Kent J Bloodsworth
- Biological Sciences Division, Pacific Northwest National Laboratory, Richland, WA 99354, USA
| | - Shankha Satpathy
- Broad Institute of Massachusetts Institute of Technology and Harvard, Cambridge, MA 02142, USA
| | - Weiva Sieh
- Department of Genetics and Genomic Sciences, Icahn Institute of Genomics and Multiscale Biology, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA; Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA; Department of Population Health Science and Policy, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Simina M Boca
- Innovation Center for Biomedical Informatics, Georgetown University Medical Center, Washington, DC 20007, USA
| | - Stephan Schürer
- Sylvester Comprehensive Cancer Center, University of Miami, FL 33136, USA; Department of Molecular and Cellular Pharmacology, Miller School of Medicine, University of Miami, Miami, FL 33136, USA; BD2K-LINCS Data Coordination and Integration Center, Miami, FL 33136, USA; Institute for Data Science & Computing, University of Miami, FL 33136, USA
| | - Feng Chen
- Department of Medicine, Washington University in St. Louis, St. Louis, MO 63130, USA; Department of Cell Biology and Physiology, Washington University in St. Louis, St. Louis, MO 63130, USA; Siteman Cancer Center, Washington University in St. Louis, St. Louis, MO 63130, USA
| | - Maciej Wiznerowicz
- International Institute for Molecular Oncology, 60-203 Poznań, Poland; Poznań University of Medical Sciences, 61-701 Poznań, Poland
| | | | - Emily S Boja
- Office of Cancer Clinical Proteomics Research, National Cancer Institute, Bethesda, MD 20892, USA
| | - Christopher R Kinsinger
- Office of Cancer Clinical Proteomics Research, National Cancer Institute, Bethesda, MD 20892, USA
| | - Ana I Robles
- Office of Cancer Clinical Proteomics Research, National Cancer Institute, Bethesda, MD 20892, USA
| | - Tara Hiltke
- Office of Cancer Clinical Proteomics Research, National Cancer Institute, Bethesda, MD 20892, USA
| | | | - Alexey I Nesvizhskii
- Department of Pathology, University of Michigan, Ann Arbor, MI 48109, USA; Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI 48109, USA
| | - Bing Zhang
- Lester and Sue Smith Breast Center, Baylor College of Medicine, Houston, TX 77030, USA; Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX 77030, USA
| | - D R Mani
- Broad Institute of Massachusetts Institute of Technology and Harvard, Cambridge, MA 02142, USA
| | - Michele Ceccarelli
- Department of Electrical Engineering and Information Technology, University of Naples "Federico II", 80128, Naples, Italy; BIOGEM, 83031 Ariano Irpino, Italy
| | - Xi S Chen
- Sylvester Comprehensive Cancer Center, University of Miami, FL 33136, USA; Division of Biostatistics, Department of Public Health Science, University of Miami, FL 33136, USA
| | - Sandra L Cottingham
- Department of Pathology, Spectrum Health and Helen DeVos Children's Hospital, Grand Rapids, MI 49503, USA
| | - Qing Kay Li
- Department of Pathology, Johns Hopkins University, Baltimore, MD 21231, USA
| | - Albert H Kim
- Department of Neurological Surgery, Washington University in St. Louis, St. Louis, MO 63130, USA
| | - David Fenyö
- Institute for Systems Genetics, NYU Grossman School of Medicine, New York, NY 10016, USA; Department of Biochemistry and Molecular Pharmacology, NYU Grossman School of Medicine, New York, NY 10016, USA
| | - Kelly V Ruggles
- Institute for Systems Genetics, NYU Grossman School of Medicine, New York, NY 10016, USA; Department of Medicine, NYU Grossman School of Medicine, New York, NY 10016, USA
| | - Henry Rodriguez
- Office of Cancer Clinical Proteomics Research, National Cancer Institute, Bethesda, MD 20892, USA
| | - Mehdi Mesri
- Office of Cancer Clinical Proteomics Research, National Cancer Institute, Bethesda, MD 20892, USA
| | - Samuel H Payne
- Department of Biology, Brigham Young University, Provo, UT 84602, USA
| | - Adam C Resnick
- Center for Data Driven Discovery in Biomedicine, The Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA; Division of Neurosurgery, The Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA
| | - Pei Wang
- Department of Genetics and Genomic Sciences, Icahn Institute of Genomics and Multiscale Biology, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Richard D Smith
- Biological Sciences Division, Pacific Northwest National Laboratory, Richland, WA 99354, USA
| | - Antonio Iavarone
- Institute for Cancer Genetics, Columbia University Medical Center, New York, NY 10032, USA; Department of Neurology, Columbia University Medical Center, New York, NY 10032, USA; Department of Pathology and Cell Biology, Columbia University Medical Center, New York, NY 10032, USA; Herbert Irving Comprehensive Cancer Center, Columbia University Medical Center, New York, NY 10032, USA
| | - Milan G Chheda
- Department of Medicine, Washington University in St. Louis, St. Louis, MO 63130, USA; Siteman Cancer Center, Washington University in St. Louis, St. Louis, MO 63130, USA; Department of Neurology, Washington University in St. Louis, St. Louis, MO 63130, USA
| | - Jill S Barnholtz-Sloan
- Case Comprehensive Cancer Center and Department of Population and Quantitative Health Sciences, Case Western Reserve University School of Medicine, Cleveland, OH 44106, USA; Research and Education, University Hospitals Health System, Cleveland, OH 44106, USA
| | - Karin D Rodland
- Biological Sciences Division, Pacific Northwest National Laboratory, Richland, WA 99354, USA; Department of Cell, Developmental, and Cancer Biology, Oregon Health & Science University, Portland, OR 97221, USA.
| | - Tao Liu
- Biological Sciences Division, Pacific Northwest National Laboratory, Richland, WA 99354, USA.
| | - Li Ding
- Department of Medicine, Washington University in St. Louis, St. Louis, MO 63130, USA; McDonnell Genome Institute, Washington University in St. Louis, St. Louis, MO 63130, USA; Department of Genetics, Washington University in St. Louis, St. Louis, MO 63130, USA; Siteman Cancer Center, Washington University in St. Louis, St. Louis, MO 63130, USA.
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20
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Veličković D, Chu RK, Henkel C, Nyhuis A, Tao N, Kyle JE, Adkins JN, Anderton CR, Paurus V, Bloodsworth K, Bramer LM, Cornett DS, Curtis WR, Burnum‐Johnson KE. Preserved and variable spatial-chemical changes of lipids across tomato leaves in response to central vein wounding reveals potential origin of linolenic acid in signal transduction cascade. Plant Environ Interact 2021; 2:28-35. [PMID: 37283847 PMCID: PMC10168036 DOI: 10.1002/pei3.10038] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 10/14/2020] [Revised: 12/21/2020] [Accepted: 12/22/2020] [Indexed: 06/08/2023]
Abstract
Membrane lipids serve as substrates for the generation of numerous signaling lipids when plants are exposed to environmental stresses, and jasmonic acid, an oxidized product of 18-carbon unsaturated fatty acids (e.g., linolenic acid), has been recognized as the essential signal in wound-induced gene expression. Yet, the contribution of individual membrane lipids in linolenic acid generation is ill-defined. In this work, we performed spatial lipidomic experiments to track lipid changes that occur locally at the sight of leaf injury to better understand the potential origin of linolenic and linoleic acids from individual membrane lipids. The central veins of tomato leaflets were crushed using surgical forceps, leaves were cryosectioned and analyzed by two orthogonal matrix-assisted laser desorption/ionization mass spectrometry imaging platforms for insight into lipid spatial distribution. Significant changes in lipid composition are only observed 30 min after wounding, while after 60 min lipidome homeostasis has been re-established. Phosphatidylcholines exhibit a variable pattern of spatial behavior in individual plants. Among lysolipids, lysophosphatidylcholines strongly co-localize with the injured zone of wounded leaflets, while, for example, lysophosphatidylglycerol (LPG) (16:1) accumulated preferentially toward the apex in the injured zone of wounded leaflets. In contrast, two other LPGs (LPG [18:3] and LPG [18:2]) are depleted in the injured zone. Our high-resolution co-localization imaging analyses suggest that linolenic acids are predominantly released from PCs with 16_18 fatty acid composition along the entire leaf, while it seems that in the apex zone PG (16:1_18:3) significantly contributes to the linolenic acid pool. These results also indicate distinct localization and/or substrate preferences of phospholipase isoforms in leaf tissue.
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Affiliation(s)
- Dušan Veličković
- Environmental Molecular Sciences LaboratoryPacific Northwest National LaboratoryRichlandWAUSA
| | - Rosalie K. Chu
- Environmental Molecular Sciences LaboratoryPacific Northwest National LaboratoryRichlandWAUSA
| | | | | | | | - Jennifer E. Kyle
- Biological Sciences DivisionPacific Northwest National LaboratoryRichlandWAUSA
| | - Joshua N. Adkins
- Biological Sciences DivisionPacific Northwest National LaboratoryRichlandWAUSA
| | - Christopher R. Anderton
- Environmental Molecular Sciences LaboratoryPacific Northwest National LaboratoryRichlandWAUSA
| | - Vanessa Paurus
- Biological Sciences DivisionPacific Northwest National LaboratoryRichlandWAUSA
| | - Kent Bloodsworth
- Biological Sciences DivisionPacific Northwest National LaboratoryRichlandWAUSA
| | - Lisa M. Bramer
- Computing & Analytics DivisionPacific Northwest National LaboratoryRichlandWAUSA
| | | | - Wayne R. Curtis
- Department of Chemical EngineeringThe Pennsylvania State UniversityUniversity ParkPAUSA
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21
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Petralia F, Tignor N, Reva B, Koptyra M, Chowdhury S, Rykunov D, Krek A, Ma W, Zhu Y, Ji J, Calinawan A, Whiteaker JR, Colaprico A, Stathias V, Omelchenko T, Song X, Raman P, Guo Y, Brown MA, Ivey RG, Szpyt J, Guha Thakurta S, Gritsenko MA, Weitz KK, Lopez G, Kalayci S, Gümüş ZH, Yoo S, da Veiga Leprevost F, Chang HY, Krug K, Katsnelson L, Wang Y, Kennedy JJ, Voytovich UJ, Zhao L, Gaonkar KS, Ennis BM, Zhang B, Baubet V, Tauhid L, Lilly JV, Mason JL, Farrow B, Young N, Leary S, Moon J, Petyuk VA, Nazarian J, Adappa ND, Palmer JN, Lober RM, Rivero-Hinojosa S, Wang LB, Wang JM, Broberg M, Chu RK, Moore RJ, Monroe ME, Zhao R, Smith RD, Zhu J, Robles AI, Mesri M, Boja E, Hiltke T, Rodriguez H, Zhang B, Schadt EE, Mani DR, Ding L, Iavarone A, Wiznerowicz M, Schürer S, Chen XS, Heath AP, Rokita JL, Nesvizhskii AI, Fenyö D, Rodland KD, Liu T, Gygi SP, Paulovich AG, Resnick AC, Storm PB, Rood BR, Wang P. Integrated Proteogenomic Characterization across Major Histological Types of Pediatric Brain Cancer. Cell 2020; 183:1962-1985.e31. [PMID: 33242424 PMCID: PMC8143193 DOI: 10.1016/j.cell.2020.10.044] [Citation(s) in RCA: 142] [Impact Index Per Article: 35.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/18/2019] [Revised: 06/19/2020] [Accepted: 10/26/2020] [Indexed: 02/06/2023]
Abstract
We report a comprehensive proteogenomics analysis, including whole-genome sequencing, RNA sequencing, and proteomics and phosphoproteomics profiling, of 218 tumors across 7 histological types of childhood brain cancer: low-grade glioma (n = 93), ependymoma (32), high-grade glioma (25), medulloblastoma (22), ganglioglioma (18), craniopharyngioma (16), and atypical teratoid rhabdoid tumor (12). Proteomics data identify common biological themes that span histological boundaries, suggesting that treatments used for one histological type may be applied effectively to other tumors sharing similar proteomics features. Immune landscape characterization reveals diverse tumor microenvironments across and within diagnoses. Proteomics data further reveal functional effects of somatic mutations and copy number variations (CNVs) not evident in transcriptomics data. Kinase-substrate association and co-expression network analysis identify important biological mechanisms of tumorigenesis. This is the first large-scale proteogenomics analysis across traditional histological boundaries to uncover foundational pediatric brain tumor biology and inform rational treatment selection.
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Affiliation(s)
- Francesca Petralia
- Department of Genetics and Genomic Sciences and Icahn Institute for Data Science and Genomic Technology, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Nicole Tignor
- Department of Genetics and Genomic Sciences and Icahn Institute for Data Science and Genomic Technology, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Boris Reva
- Department of Genetics and Genomic Sciences and Icahn Institute for Data Science and Genomic Technology, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Mateusz Koptyra
- Center for Data-Driven Discovery in Biomedicine, Division of Neurosurgery, Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA; Division of Neurosurgery, Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA
| | - Shrabanti Chowdhury
- Department of Genetics and Genomic Sciences and Icahn Institute for Data Science and Genomic Technology, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Dmitry Rykunov
- Department of Genetics and Genomic Sciences and Icahn Institute for Data Science and Genomic Technology, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Azra Krek
- Department of Genetics and Genomic Sciences and Icahn Institute for Data Science and Genomic Technology, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Weiping Ma
- Department of Genetics and Genomic Sciences and Icahn Institute for Data Science and Genomic Technology, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Yuankun Zhu
- Center for Data-Driven Discovery in Biomedicine, Division of Neurosurgery, Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA; Division of Neurosurgery, Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA
| | - Jiayi Ji
- Department of Population Health Science and Policy, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA; Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Anna Calinawan
- Department of Genetics and Genomic Sciences and Icahn Institute for Data Science and Genomic Technology, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | | | - Antonio Colaprico
- Department of Public Health Science, University of Miami Miller School of Medicine, Miami, FL 33136, USA
| | - Vasileios Stathias
- Department of Pharmacology, Institute for Data Science and Computing, Sylvester Comprehensive Cancer Center, University of Miami, Miami, FL 33146, USA
| | - Tatiana Omelchenko
- Cell Biology Program, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA
| | - Xiaoyu Song
- Department of Population Health Science and Policy, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA; Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Pichai Raman
- Center for Data-Driven Discovery in Biomedicine, Division of Neurosurgery, Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA; Department of Bioinformatics and Health Informatics, Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA; Division of Neurosurgery, Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA
| | - Yiran Guo
- Center for Data-Driven Discovery in Biomedicine, Division of Neurosurgery, Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA; Division of Neurosurgery, Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA
| | - Miguel A Brown
- Center for Data-Driven Discovery in Biomedicine, Division of Neurosurgery, Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA; Division of Neurosurgery, Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA
| | - Richard G Ivey
- Fred Hutchinson Cancer Research Center, Seattle, WA 98109, USA
| | - John Szpyt
- Thermo Fisher Scientific Center for Multiplexed Proteomics, Department of Cell Biology, Harvard Medical School, Boston, MA 02115, USA
| | - Sanjukta Guha Thakurta
- Thermo Fisher Scientific Center for Multiplexed Proteomics, Department of Cell Biology, Harvard Medical School, Boston, MA 02115, USA
| | - Marina A Gritsenko
- Biological Sciences Division, Pacific Northwest National Laboratory, Richland, WA 99354, USA
| | - Karl K Weitz
- Biological Sciences Division, Pacific Northwest National Laboratory, Richland, WA 99354, USA
| | - Gonzalo Lopez
- Department of Genetics and Genomic Sciences and Icahn Institute for Data Science and Genomic Technology, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Selim Kalayci
- Department of Genetics and Genomic Sciences and Icahn Institute for Data Science and Genomic Technology, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Zeynep H Gümüş
- Department of Genetics and Genomic Sciences and Icahn Institute for Data Science and Genomic Technology, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Seungyeul Yoo
- Department of Genetics and Genomic Sciences and Icahn Institute for Data Science and Genomic Technology, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | | | - Hui-Yin Chang
- Department of Pathology, University of Michigan, Ann Arbor, MI 48109, USA
| | - Karsten Krug
- Broad Institute of Massachusetts Institute of Technology and Harvard, Cambridge, MA 02412, USA
| | - Lizabeth Katsnelson
- Institute for Systems Genetics; Department of Biochemistry and Molecular Pharmacology, NYU Grossman School of Medicine, New York, NY 10016, USA
| | - Ying Wang
- Institute for Systems Genetics; Department of Biochemistry and Molecular Pharmacology, NYU Grossman School of Medicine, New York, NY 10016, USA
| | - Jacob J Kennedy
- Fred Hutchinson Cancer Research Center, Seattle, WA 98109, USA
| | | | - Lei Zhao
- Fred Hutchinson Cancer Research Center, Seattle, WA 98109, USA
| | - Krutika S Gaonkar
- Center for Data-Driven Discovery in Biomedicine, Division of Neurosurgery, Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA; Department of Bioinformatics and Health Informatics, Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA; Division of Neurosurgery, Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA
| | - Brian M Ennis
- Center for Data-Driven Discovery in Biomedicine, Division of Neurosurgery, Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA; Division of Neurosurgery, Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA
| | - Bo Zhang
- Center for Data-Driven Discovery in Biomedicine, Division of Neurosurgery, Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA; Division of Neurosurgery, Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA
| | - Valerie Baubet
- Center for Data-Driven Discovery in Biomedicine, Division of Neurosurgery, Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA; Division of Neurosurgery, Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA
| | - Lamiya Tauhid
- Center for Data-Driven Discovery in Biomedicine, Division of Neurosurgery, Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA; Division of Neurosurgery, Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA
| | - Jena V Lilly
- Center for Data-Driven Discovery in Biomedicine, Division of Neurosurgery, Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA; Division of Neurosurgery, Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA
| | - Jennifer L Mason
- Center for Data-Driven Discovery in Biomedicine, Division of Neurosurgery, Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA; Division of Neurosurgery, Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA
| | - Bailey Farrow
- Center for Data-Driven Discovery in Biomedicine, Division of Neurosurgery, Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA; Division of Neurosurgery, Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA
| | - Nathan Young
- Center for Data-Driven Discovery in Biomedicine, Division of Neurosurgery, Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA; Division of Neurosurgery, Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA
| | - Sarah Leary
- Fred Hutchinson Cancer Research Center, Seattle, WA 98109, USA; Cancer and Blood Disorders Center, Seattle Children's Hospital, Seattle, WA 98105, USA; Department of Pediatrics, University of Washington, Seattle, WA 98195, USA
| | - Jamie Moon
- Biological Sciences Division, Pacific Northwest National Laboratory, Richland, WA 99354, USA
| | - Vladislav A Petyuk
- Biological Sciences Division, Pacific Northwest National Laboratory, Richland, WA 99354, USA
| | - Javad Nazarian
- Children's National Research Institute, George Washington University School of Medicine, Washington, DC 20010, USA; Department of Oncology, Children's Research Center, University Children's Hospital Zürich, Zürich 8032, Switzerland
| | - Nithin D Adappa
- Department of Otorhinolaryngology, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - James N Palmer
- Department of Otorhinolaryngology, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Robert M Lober
- Department of Neurosurgery, Dayton Children's Hospital, Dayton, OH 45404, USA
| | - Samuel Rivero-Hinojosa
- Children's National Research Institute, George Washington University School of Medicine, Washington, DC 20010, USA
| | - Liang-Bo Wang
- Department of Medicine, Washington University in St. Louis, St. Louis, MO 631110, USA; McDonnell Genome Institute, Washington University in St. Louis, St. Louis, MO 63108, USA
| | - Joshua M Wang
- Institute for Systems Genetics; Department of Biochemistry and Molecular Pharmacology, NYU Grossman School of Medicine, New York, NY 10016, USA
| | - Matilda Broberg
- Institute for Systems Genetics; Department of Biochemistry and Molecular Pharmacology, NYU Grossman School of Medicine, New York, NY 10016, USA
| | - Rosalie K Chu
- Biological Sciences Division, Pacific Northwest National Laboratory, Richland, WA 99354, USA
| | - Ronald J Moore
- Biological Sciences Division, Pacific Northwest National Laboratory, Richland, WA 99354, USA
| | - Matthew E Monroe
- Biological Sciences Division, Pacific Northwest National Laboratory, Richland, WA 99354, USA
| | - Rui Zhao
- Biological Sciences Division, Pacific Northwest National Laboratory, Richland, WA 99354, USA
| | - Richard D Smith
- Biological Sciences Division, Pacific Northwest National Laboratory, Richland, WA 99354, USA
| | - Jun Zhu
- Department of Genetics and Genomic Sciences and Icahn Institute for Data Science and Genomic Technology, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Ana I Robles
- Office of Cancer Clinical Proteomics Research, National Cancer Institute, National Institutes of Health, Bethesda, MD 20892, USA
| | - Mehdi Mesri
- Office of Cancer Clinical Proteomics Research, National Cancer Institute, National Institutes of Health, Bethesda, MD 20892, USA
| | - Emily Boja
- Office of Cancer Clinical Proteomics Research, National Cancer Institute, National Institutes of Health, Bethesda, MD 20892, USA
| | - Tara Hiltke
- Office of Cancer Clinical Proteomics Research, National Cancer Institute, National Institutes of Health, Bethesda, MD 20892, USA
| | - Henry Rodriguez
- Office of Cancer Clinical Proteomics Research, National Cancer Institute, National Institutes of Health, Bethesda, MD 20892, USA
| | - Bing Zhang
- Lester and Sue Smith Breast Center, Baylor College of Medicine, Houston, TX 77030, USA; Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX 77030, USA; Dan L. Duncan Comprehensive Cancer Center, Baylor College of Medicine, Houston, TX 77030, USA
| | - Eric E Schadt
- Department of Genetics and Genomic Sciences and Icahn Institute for Data Science and Genomic Technology, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - D R Mani
- Broad Institute of Massachusetts Institute of Technology and Harvard, Cambridge, MA 02412, USA
| | - Li Ding
- Department of Medicine, Washington University in St. Louis, St. Louis, MO 631110, USA; McDonnell Genome Institute, Washington University in St. Louis, St. Louis, MO 63108, USA; Siteman Cancer Center, Washington University in St. Louis, St. Louis, MO 63110, USA
| | - Antonio Iavarone
- Institute for Cancer Genetics, Department of Neurology, Department of Pathology and Cell Biology, Herbert Irving Comprehensive Cancer Center, Columbia University Medical Center, New York, NY 10032, USA
| | - Maciej Wiznerowicz
- Poznan University of Medical Sciences, 61-701 Poznań, Poland; International Institute for Molecular Oncology, 61-203 Poznań, Poland
| | - Stephan Schürer
- Department of Pharmacology, Institute for Data Science and Computing, Sylvester Comprehensive Cancer Center, University of Miami, Miami, FL 33146, USA
| | - Xi S Chen
- Department of Public Health Science, University of Miami Miller School of Medicine, Miami, FL 33136, USA; Sylvester Comprehensive Cancer Center, University of Miami Miller School of Medicine, Miami, FL 33136, USA
| | - Allison P Heath
- Center for Data-Driven Discovery in Biomedicine, Division of Neurosurgery, Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA; Division of Neurosurgery, Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA
| | - Jo Lynne Rokita
- Center for Data-Driven Discovery in Biomedicine, Division of Neurosurgery, Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA; Department of Bioinformatics and Health Informatics, Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA; Division of Neurosurgery, Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA
| | - Alexey I Nesvizhskii
- Department of Pathology, University of Michigan, Ann Arbor, MI 48109, USA; Department of Computational Medicine & Bioinformatics, University of Michigan, Ann Arbor, MI 48109, USA
| | - David Fenyö
- Institute for Systems Genetics; Department of Biochemistry and Molecular Pharmacology, NYU Grossman School of Medicine, New York, NY 10016, USA
| | - Karin D Rodland
- Biological Sciences Division, Pacific Northwest National Laboratory, Richland, WA 99354, USA; Department of Cell, Developmental, and Cancer Biology, Oregon Health & Science University, Portland, OR 97221, USA
| | - Tao Liu
- Biological Sciences Division, Pacific Northwest National Laboratory, Richland, WA 99354, USA
| | - Steven P Gygi
- Thermo Fisher Scientific Center for Multiplexed Proteomics, Department of Cell Biology, Harvard Medical School, Boston, MA 02115, USA
| | | | - Adam C Resnick
- Center for Data-Driven Discovery in Biomedicine, Division of Neurosurgery, Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA; Division of Neurosurgery, Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA.
| | - Phillip B Storm
- Center for Data-Driven Discovery in Biomedicine, Division of Neurosurgery, Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA; Division of Neurosurgery, Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA.
| | - Brian R Rood
- Children's National Research Institute, George Washington University School of Medicine, Washington, DC 20010, USA.
| | - Pei Wang
- Department of Genetics and Genomic Sciences and Icahn Institute for Data Science and Genomic Technology, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA.
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22
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Garayburu-Caruso VA, Danczak RE, Stegen JC, Renteria L, Mccall M, Goldman AE, Chu RK, Toyoda J, Resch CT, Torgeson JM, Wells J, Fansler S, Kumar S, Graham EB. Using Community Science to Reveal the Global Chemogeography of River Metabolomes. Metabolites 2020; 10:518. [PMID: 33419380 PMCID: PMC7767024 DOI: 10.3390/metabo10120518] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/02/2020] [Revised: 12/14/2020] [Accepted: 12/15/2020] [Indexed: 11/16/2022] Open
Abstract
River corridor metabolomes reflect organic matter (OM) processing that drives aquatic biogeochemical cycles. Recent work highlights the power of ultrahigh-resolution mass spectrometry for understanding metabolome composition and river corridor metabolism. However, there have been no studies on the global chemogeography of surface water and sediment metabolomes using ultrahigh-resolution techniques. Here, we describe a community science effort from the Worldwide Hydrobiogeochemistry Observation Network for Dynamic River Systems (WHONDRS) consortium to characterize global metabolomes in surface water and sediment that span multiple stream orders and biomes. We describe the distribution of key aspects of metabolomes including elemental groups, chemical classes, indices, and inferred biochemical transformations. We show that metabolomes significantly differ across surface water and sediment and that surface water metabolomes are more rich and variable. We also use inferred biochemical transformations to identify core metabolic processes shared among surface water and sediment. Finally, we observe significant spatial variation in sediment metabolites between rivers in the eastern and western portions of the contiguous United States. Our work not only provides a basis for understanding global patterns in river corridor biogeochemical cycles but also demonstrates that community science endeavors can enable global research projects that are unfeasible with traditional research models.
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Affiliation(s)
- Vanessa A. Garayburu-Caruso
- Pacific Northwest National Laboratory, Richland, WA 99352, USA; (V.A.G.-C.); (R.E.D.); (J.C.S.); (L.R.); (M.M.); (A.E.G.); (C.T.R.); (J.M.T.); (S.F.); (S.K.)
| | - Robert E. Danczak
- Pacific Northwest National Laboratory, Richland, WA 99352, USA; (V.A.G.-C.); (R.E.D.); (J.C.S.); (L.R.); (M.M.); (A.E.G.); (C.T.R.); (J.M.T.); (S.F.); (S.K.)
| | - James C. Stegen
- Pacific Northwest National Laboratory, Richland, WA 99352, USA; (V.A.G.-C.); (R.E.D.); (J.C.S.); (L.R.); (M.M.); (A.E.G.); (C.T.R.); (J.M.T.); (S.F.); (S.K.)
| | - Lupita Renteria
- Pacific Northwest National Laboratory, Richland, WA 99352, USA; (V.A.G.-C.); (R.E.D.); (J.C.S.); (L.R.); (M.M.); (A.E.G.); (C.T.R.); (J.M.T.); (S.F.); (S.K.)
| | - Marcy Mccall
- Pacific Northwest National Laboratory, Richland, WA 99352, USA; (V.A.G.-C.); (R.E.D.); (J.C.S.); (L.R.); (M.M.); (A.E.G.); (C.T.R.); (J.M.T.); (S.F.); (S.K.)
| | - Amy E. Goldman
- Pacific Northwest National Laboratory, Richland, WA 99352, USA; (V.A.G.-C.); (R.E.D.); (J.C.S.); (L.R.); (M.M.); (A.E.G.); (C.T.R.); (J.M.T.); (S.F.); (S.K.)
| | - Rosalie K. Chu
- Environmental Molecular Sciences Laboratory, Richland, WA 99352, USA; (R.K.C.); (J.T.)
| | - Jason Toyoda
- Environmental Molecular Sciences Laboratory, Richland, WA 99352, USA; (R.K.C.); (J.T.)
| | - Charles T. Resch
- Pacific Northwest National Laboratory, Richland, WA 99352, USA; (V.A.G.-C.); (R.E.D.); (J.C.S.); (L.R.); (M.M.); (A.E.G.); (C.T.R.); (J.M.T.); (S.F.); (S.K.)
| | - Joshua M. Torgeson
- Pacific Northwest National Laboratory, Richland, WA 99352, USA; (V.A.G.-C.); (R.E.D.); (J.C.S.); (L.R.); (M.M.); (A.E.G.); (C.T.R.); (J.M.T.); (S.F.); (S.K.)
| | - Jacqueline Wells
- School of Chemical, Biological, and Environmental Engineering, Oregon State University, Corvallis, OR 97331, USA;
| | - Sarah Fansler
- Pacific Northwest National Laboratory, Richland, WA 99352, USA; (V.A.G.-C.); (R.E.D.); (J.C.S.); (L.R.); (M.M.); (A.E.G.); (C.T.R.); (J.M.T.); (S.F.); (S.K.)
| | - Swatantar Kumar
- Pacific Northwest National Laboratory, Richland, WA 99352, USA; (V.A.G.-C.); (R.E.D.); (J.C.S.); (L.R.); (M.M.); (A.E.G.); (C.T.R.); (J.M.T.); (S.F.); (S.K.)
| | - Emily B. Graham
- Pacific Northwest National Laboratory, Richland, WA 99352, USA; (V.A.G.-C.); (R.E.D.); (J.C.S.); (L.R.); (M.M.); (A.E.G.); (C.T.R.); (J.M.T.); (S.F.); (S.K.)
- School of Biological Sciences, Washington State University, Pullman, WA 99164, USA
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Varga T, Hixson KK, Ahkami AH, Sher AW, Barnes ME, Chu RK, Battu AK, Nicora CD, Winkler TE, Reno LR, Fakra SC, Antipova O, Parkinson DY, Hall JR, Doty SL. Endophyte-Promoted Phosphorus Solubilization in Populus. Front Plant Sci 2020; 11:567918. [PMID: 33193494 PMCID: PMC7609660 DOI: 10.3389/fpls.2020.567918] [Citation(s) in RCA: 20] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/11/2020] [Accepted: 09/25/2020] [Indexed: 05/24/2023]
Abstract
Phosphorus is one of the essential nutrients for plant growth, but it may be relatively unavailable to plants because of its chemistry. In soil, the majority of phosphorus is present in the form of a phosphate, usually as metal complexes making it bound to minerals or organic matter. Therefore, inorganic phosphate solubilization is an important process of plant growth promotion by plant associated bacteria and fungi. Non-nodulating plant species have been shown to thrive in low-nutrient environments, in some instances by relying on plant associated microorganisms called endophytes. These microorganisms live within the plant and help supply nutrients for the plant. Despite their potential enormous environmental importance, there are a limited number of studies looking at the direct molecular impact of phosphate solubilizing endophytic bacteria on the host plant. In this work, we studied the impact of two endophyte strains of wild poplar (Populus trichocarpa) that solubilize phosphate. Using a combination of x-ray imaging, spectroscopy methods, and proteomics, we report direct evidence of endophyte-promoted phosphorus uptake in poplar. We found that the solubilized phosphate may react and become insoluble once inside plant tissue, suggesting that endophytes may aid in the re-release of phosphate. Using synchrotron x-ray fluorescence spectromicroscopy, we visualized the nutrient phosphorus inside poplar roots inoculated by the selected endophytes and found the phosphorus in both forms of organic and inorganic phosphates inside the root. Tomography-based root imaging revealed a markedly different root biomass and root architecture for poplar samples inoculated with the phosphate solubilizing bacteria strains. Proteomics characterization on poplar roots coupled with protein network analysis revealed novel proteins and metabolic pathways with possible involvement in endophyte enriched phosphorus uptake. These findings suggest an important role of endophytes for phosphorus acquisition and provide a deeper understanding of the critical symbiotic associations between poplar and the endophytic bacteria.
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Affiliation(s)
- Tamas Varga
- Environmental Molecular Sciences Laboratory, Earth and Biological Sciences Directorate, Pacific Northwest National Laboratory, Richland, WA, United States
| | - Kim K. Hixson
- Environmental Molecular Sciences Laboratory, Earth and Biological Sciences Directorate, Pacific Northwest National Laboratory, Richland, WA, United States
| | - Amir H. Ahkami
- Environmental Molecular Sciences Laboratory, Earth and Biological Sciences Directorate, Pacific Northwest National Laboratory, Richland, WA, United States
| | - Andrew W. Sher
- School of Environmental and Forest Sciences, College of the Environment, University of Washington, Seattle, WA, United States
| | - Morgan E. Barnes
- Environmental Systems Graduate Group, University of California, Merced, Merced, CA, United States
| | - Rosalie K. Chu
- Environmental Molecular Sciences Laboratory, Earth and Biological Sciences Directorate, Pacific Northwest National Laboratory, Richland, WA, United States
| | - Anil K. Battu
- Environmental Molecular Sciences Laboratory, Earth and Biological Sciences Directorate, Pacific Northwest National Laboratory, Richland, WA, United States
| | - Carrie D. Nicora
- Earth and Biological Sciences Directorate, Pacific Northwest National Laboratory, Richland, WA, United States
| | - Tanya E. Winkler
- Earth and Biological Sciences Directorate, Pacific Northwest National Laboratory, Richland, WA, United States
| | - Loren R. Reno
- Environmental Molecular Sciences Laboratory, Earth and Biological Sciences Directorate, Pacific Northwest National Laboratory, Richland, WA, United States
| | - Sirine C. Fakra
- Advanced Light Source, Lawrence Berkeley National Laboratory, Berkeley, CA, United States
| | - Olga Antipova
- Advanced Photon Source, Argonne National Laboratory, Lemont, IL, United States
| | - Dilworth Y. Parkinson
- Advanced Light Source, Lawrence Berkeley National Laboratory, Berkeley, CA, United States
| | - Jackson R. Hall
- School of Environmental and Forest Sciences, College of the Environment, University of Washington, Seattle, WA, United States
| | - Sharon L. Doty
- School of Environmental and Forest Sciences, College of the Environment, University of Washington, Seattle, WA, United States
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24
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Yang J, Jiang H, Liu W, Huang L, Huang J, Wang B, Dong H, Chu RK, Tolic N. Potential utilization of terrestrially derived dissolved organic matter by aquatic microbial communities in saline lakes. ISME J 2020; 14:2313-2324. [PMID: 32483305 PMCID: PMC7608266 DOI: 10.1038/s41396-020-0689-0] [Citation(s) in RCA: 39] [Impact Index Per Article: 9.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/05/2020] [Revised: 05/15/2020] [Accepted: 05/21/2020] [Indexed: 12/24/2022]
Abstract
Lakes receive large amounts of terrestrially derived dissolved organic matter (tDOM). However, little is known about how aquatic microbial communities interact with tDOM in lakes. Here, by performing microcosm experiments we investigated how microbial community responded to tDOM influx in six Tibetan lakes of different salinities (ranging from 1 to 358 g/l). In response to tDOM addition, microbial biomass increased while dissolved organic carbon (DOC) decreased. The amount of DOC decrease did not show any significant correlation with salinity. However, salinity influenced tDOM transformation, i.e., microbial communities from higher salinity lakes exhibited a stronger ability to utilize tDOM of high carbon numbers than those from lower salinity. Abundant taxa and copiotrophs were actively involved in tDOM transformation, suggesting their vital roles in lacustrine carbon cycle. Network analysis indicated that 66 operational taxonomic units (OTUs, affiliated with Alphaproteobacteria, Actinobacteria, Bacteroidia, Bacilli, Gammaproteobacteria, Halobacteria, Planctomycetacia, Rhodothermia, and Verrucomicrobiae) were associated with degradation of CHO compounds, while four bacterial OTUs (affiliated with Actinobacteria, Alphaproteobacteria, Bacteroidia and Gammaproteobacteria) were highly associated with the degradation of CHOS compounds. Network analysis further revealed that tDOM transformation may be a synergestic process, involving cooperation among multiple species. In summary, our study provides new insights into a microbial role in transforming tDOM in saline lakes and has important implications for understanding the carbon cycle in aquatic environments.
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Affiliation(s)
- Jian Yang
- State Key Laboratory of Biogeology and Environmental Geology, China University of Geosciences, 430074, Wuhan, China
| | - Hongchen Jiang
- State Key Laboratory of Biogeology and Environmental Geology, China University of Geosciences, 430074, Wuhan, China. .,Key Laboratory of Biogeography and Bioresource in Arid Land, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, 830011, Urumqi, China.
| | - Wen Liu
- State Key Laboratory of Biogeology and Environmental Geology, China University of Geosciences, 430074, Wuhan, China
| | - Liuqin Huang
- State Key Laboratory of Biogeology and Environmental Geology, China University of Geosciences, 430074, Wuhan, China
| | - Jianrong Huang
- State Key Laboratory of Biogeology and Environmental Geology, China University of Geosciences, 430074, Wuhan, China
| | - Beichen Wang
- State Key Laboratory of Biogeology and Environmental Geology, China University of Geosciences, 430074, Wuhan, China
| | - Hailiang Dong
- State Key Laboratory of Biogeology and Environmental Geology, China University of Geosciences, 100083, Beijing, China. .,Department of Geology and Environmental Earth Science, Miami University, Oxford, OH, 45056, USA.
| | - Rosalie K Chu
- Environmental Molecular Sciences Laboratory, Pacific Northwest National Laboratory, Richland, WA, 99354, USA
| | - Nikola Tolic
- Environmental Molecular Sciences Laboratory, Pacific Northwest National Laboratory, Richland, WA, 99354, USA
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25
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Veličković D, Chu RK, Myers GL, Ahkami AH, Anderton CR. An approach for visualizing the spatial metabolome of an entire plant root system inspired by the Swiss-rolling technique. J Mass Spectrom 2020; 55:e4363. [PMID: 31018010 DOI: 10.1002/jms.4363] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/18/2019] [Revised: 03/28/2019] [Accepted: 04/08/2019] [Indexed: 05/11/2023]
Abstract
The spatial configuration and morphology of roots are commonly monitored for a better understanding of plant health and development. However, this approach provides minimal details about the biochemistry regulating the observable traits. Therefore, the ability to metabolically map the entire root structure would be of major value. Here, we developed a sample preparation approach that enables imaging of the entire root within a restricted space (width of microscope slide), which was influenced by the Swiss-rolling technique. We were able to image and confidently identify molecules along the entire root structure from rolled-root tissue sections using multiple spatially resolved mass spectrometry approaches.
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Affiliation(s)
- Dušan Veličković
- Environmental Molecular Sciences Laboratory, Pacific Northwest National Laboratory, Richland, Washington
| | - Rosalie K Chu
- Environmental Molecular Sciences Laboratory, Pacific Northwest National Laboratory, Richland, Washington
| | - Gabriel L Myers
- Environmental Molecular Sciences Laboratory, Pacific Northwest National Laboratory, Richland, Washington
| | - Amir H Ahkami
- Environmental Molecular Sciences Laboratory, Pacific Northwest National Laboratory, Richland, Washington
| | - Christopher R Anderton
- Environmental Molecular Sciences Laboratory, Pacific Northwest National Laboratory, Richland, Washington
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26
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Dou Y, Kawaler EA, Cui Zhou D, Gritsenko MA, Huang C, Blumenberg L, Karpova A, Petyuk VA, Savage SR, Satpathy S, Liu W, Wu Y, Tsai CF, Wen B, Li Z, Cao S, Moon J, Shi Z, Cornwell M, Wyczalkowski MA, Chu RK, Vasaikar S, Zhou H, Gao Q, Moore RJ, Li K, Sethuraman S, Monroe ME, Zhao R, Heiman D, Krug K, Clauser K, Kothadia R, Maruvka Y, Pico AR, Oliphant AE, Hoskins EL, Pugh SL, Beecroft SJI, Adams DW, Jarman JC, Kong A, Chang HY, Reva B, Liao Y, Rykunov D, Colaprico A, Chen XS, Czekański A, Jędryka M, Matkowski R, Wiznerowicz M, Hiltke T, Boja E, Kinsinger CR, Mesri M, Robles AI, Rodriguez H, Mutch D, Fuh K, Ellis MJ, DeLair D, Thiagarajan M, Mani DR, Getz G, Noble M, Nesvizhskii AI, Wang P, Anderson ML, Levine DA, Smith RD, Payne SH, Ruggles KV, Rodland KD, Ding L, Zhang B, Liu T, Fenyö D. Proteogenomic Characterization of Endometrial Carcinoma. Cell 2020; 180:729-748.e26. [PMID: 32059776 PMCID: PMC7233456 DOI: 10.1016/j.cell.2020.01.026] [Citation(s) in RCA: 247] [Impact Index Per Article: 61.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/29/2019] [Revised: 11/11/2019] [Accepted: 01/16/2020] [Indexed: 02/07/2023]
Abstract
We undertook a comprehensive proteogenomic characterization of 95 prospectively collected endometrial carcinomas, comprising 83 endometrioid and 12 serous tumors. This analysis revealed possible new consequences of perturbations to the p53 and Wnt/β-catenin pathways, identified a potential role for circRNAs in the epithelial-mesenchymal transition, and provided new information about proteomic markers of clinical and genomic tumor subgroups, including relationships to known druggable pathways. An extensive genome-wide acetylation survey yielded insights into regulatory mechanisms linking Wnt signaling and histone acetylation. We also characterized aspects of the tumor immune landscape, including immunogenic alterations, neoantigens, common cancer/testis antigens, and the immune microenvironment, all of which can inform immunotherapy decisions. Collectively, our multi-omic analyses provide a valuable resource for researchers and clinicians, identify new molecular associations of potential mechanistic significance in the development of endometrial cancers, and suggest novel approaches for identifying potential therapeutic targets.
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Affiliation(s)
- Yongchao Dou
- Lester and Sue Smith Breast Center, Baylor College of Medicine, Houston, TX 77030, USA; Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX 77030, USA; Dan L Duncan Comprehensive Cancer Center, Baylor College of Medicine, Houston, TX 77030, USA
| | - Emily A Kawaler
- Institute for Systems Genetics, NYU School of Medicine, New York, NY 10016, USA; Department of Biochemistry and Molecular Pharmacology, NYU School of Medicine, New York, NY 10016, USA
| | - Daniel Cui Zhou
- Department of Medicine and Genetics, Siteman Cancer Center, Washington University in St. Louis, St. Louis, MO 63110, USA; McDonnell Genome Institute, Washington University in St. Louis, St. Louis, MO 63108, USA
| | - Marina A Gritsenko
- Biological Sciences Division, Pacific Northwest National Laboratory, Richland, WA 99354, USA
| | - Chen Huang
- Lester and Sue Smith Breast Center, Baylor College of Medicine, Houston, TX 77030, USA; Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX 77030, USA; Dan L Duncan Comprehensive Cancer Center, Baylor College of Medicine, Houston, TX 77030, USA
| | - Lili Blumenberg
- Department of Medicine, NYU School of Medicine, New York, NY 10016, USA
| | - Alla Karpova
- Department of Medicine and Genetics, Siteman Cancer Center, Washington University in St. Louis, St. Louis, MO 63110, USA; McDonnell Genome Institute, Washington University in St. Louis, St. Louis, MO 63108, USA
| | - Vladislav A Petyuk
- Biological Sciences Division, Pacific Northwest National Laboratory, Richland, WA 99354, USA
| | - Sara R Savage
- Lester and Sue Smith Breast Center, Baylor College of Medicine, Houston, TX 77030, USA; Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX 77030, USA; Dan L Duncan Comprehensive Cancer Center, Baylor College of Medicine, Houston, TX 77030, USA
| | - Shankha Satpathy
- The Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | - Wenke Liu
- Institute for Systems Genetics, NYU School of Medicine, New York, NY 10016, USA; Department of Biochemistry and Molecular Pharmacology, NYU School of Medicine, New York, NY 10016, USA
| | - Yige Wu
- Department of Medicine and Genetics, Siteman Cancer Center, Washington University in St. Louis, St. Louis, MO 63110, USA; McDonnell Genome Institute, Washington University in St. Louis, St. Louis, MO 63108, USA
| | - Chia-Feng Tsai
- Biological Sciences Division, Pacific Northwest National Laboratory, Richland, WA 99354, USA
| | - Bo Wen
- Lester and Sue Smith Breast Center, Baylor College of Medicine, Houston, TX 77030, USA; Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX 77030, USA; Dan L Duncan Comprehensive Cancer Center, Baylor College of Medicine, Houston, TX 77030, USA
| | - Zhi Li
- Institute for Systems Genetics, NYU School of Medicine, New York, NY 10016, USA; Department of Biochemistry and Molecular Pharmacology, NYU School of Medicine, New York, NY 10016, USA
| | - Song Cao
- Department of Medicine and Genetics, Siteman Cancer Center, Washington University in St. Louis, St. Louis, MO 63110, USA; McDonnell Genome Institute, Washington University in St. Louis, St. Louis, MO 63108, USA
| | - Jamie Moon
- Biological Sciences Division, Pacific Northwest National Laboratory, Richland, WA 99354, USA
| | - Zhiao Shi
- Lester and Sue Smith Breast Center, Baylor College of Medicine, Houston, TX 77030, USA; Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX 77030, USA; Dan L Duncan Comprehensive Cancer Center, Baylor College of Medicine, Houston, TX 77030, USA
| | - MacIntosh Cornwell
- Institute for Systems Genetics, NYU School of Medicine, New York, NY 10016, USA; Department of Biochemistry and Molecular Pharmacology, NYU School of Medicine, New York, NY 10016, USA
| | - Matthew A Wyczalkowski
- Department of Medicine and Genetics, Siteman Cancer Center, Washington University in St. Louis, St. Louis, MO 63110, USA; McDonnell Genome Institute, Washington University in St. Louis, St. Louis, MO 63108, USA
| | - Rosalie K Chu
- Biological Sciences Division, Pacific Northwest National Laboratory, Richland, WA 99354, USA
| | - Suhas Vasaikar
- Department of Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Hua Zhou
- Institute for Systems Genetics, NYU School of Medicine, New York, NY 10016, USA; Department of Biochemistry and Molecular Pharmacology, NYU School of Medicine, New York, NY 10016, USA
| | - Qingsong Gao
- Department of Medicine and Genetics, Siteman Cancer Center, Washington University in St. Louis, St. Louis, MO 63110, USA; McDonnell Genome Institute, Washington University in St. Louis, St. Louis, MO 63108, USA
| | - Ronald J Moore
- Biological Sciences Division, Pacific Northwest National Laboratory, Richland, WA 99354, USA
| | - Kai Li
- Lester and Sue Smith Breast Center, Baylor College of Medicine, Houston, TX 77030, USA; Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX 77030, USA; Dan L Duncan Comprehensive Cancer Center, Baylor College of Medicine, Houston, TX 77030, USA
| | - Sunantha Sethuraman
- Department of Medicine and Genetics, Siteman Cancer Center, Washington University in St. Louis, St. Louis, MO 63110, USA; McDonnell Genome Institute, Washington University in St. Louis, St. Louis, MO 63108, USA
| | - Matthew E Monroe
- Biological Sciences Division, Pacific Northwest National Laboratory, Richland, WA 99354, USA
| | - Rui Zhao
- Biological Sciences Division, Pacific Northwest National Laboratory, Richland, WA 99354, USA
| | - David Heiman
- The Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | - Karsten Krug
- The Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | - Karl Clauser
- The Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | - Ramani Kothadia
- The Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | - Yosef Maruvka
- The Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | - Alexander R Pico
- Institute of Data Science and Biotechnology, Gladstone Institutes, San Francisco, CA 94158, USA
| | - Amanda E Oliphant
- Department of Biology, Brigham Young University, Provo, UT 84602, USA
| | - Emily L Hoskins
- Department of Biology, Brigham Young University, Provo, UT 84602, USA
| | - Samuel L Pugh
- Department of Biology, Brigham Young University, Provo, UT 84602, USA
| | - Sean J I Beecroft
- Department of Biology, Brigham Young University, Provo, UT 84602, USA
| | - David W Adams
- Department of Biology, Brigham Young University, Provo, UT 84602, USA
| | - Jonathan C Jarman
- Department of Biology, Brigham Young University, Provo, UT 84602, USA
| | - Andy Kong
- Department of Pathology, University of Michigan, Ann Arbor, MI 48109, USA
| | - Hui-Yin Chang
- Department of Pathology, University of Michigan, Ann Arbor, MI 48109, USA
| | - Boris Reva
- Department of Genetics and Genomic Sciences, Icahn Institute of Genomics and Multiscale Biology, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Yuxing Liao
- Lester and Sue Smith Breast Center, Baylor College of Medicine, Houston, TX 77030, USA; Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX 77030, USA; Dan L Duncan Comprehensive Cancer Center, Baylor College of Medicine, Houston, TX 77030, USA
| | - Dmitry Rykunov
- Department of Genetics and Genomic Sciences, Icahn Institute of Genomics and Multiscale Biology, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Antonio Colaprico
- Sylvester Comprehensive Cancer Center, University of Miami Miller School of Medicine, Miami, FL 33136, USA; Division of Biostatistics, Department of Public Health Science, University of Miami Miller School of Medicine, Miami, FL 33136, USA
| | - Xi Steven Chen
- Sylvester Comprehensive Cancer Center, University of Miami Miller School of Medicine, Miami, FL 33136, USA; Division of Biostatistics, Department of Public Health Science, University of Miami Miller School of Medicine, Miami, FL 33136, USA
| | - Andrzej Czekański
- Department of Oncology, Wroclaw Medical University, 50-367 Wrocław, Poland; Wroclaw Comprehensive Cancer Center, 53-413 Wrocław, Poland
| | - Marcin Jędryka
- Department of Oncology, Wroclaw Medical University, 50-367 Wrocław, Poland; Wroclaw Comprehensive Cancer Center, 53-413 Wrocław, Poland
| | - Rafał Matkowski
- Department of Oncology, Wroclaw Medical University, 50-367 Wrocław, Poland; Wroclaw Comprehensive Cancer Center, 53-413 Wrocław, Poland
| | - Maciej Wiznerowicz
- Poznan University of Medical Sciences, 61-701 Poznań, Poland; University Hospital of Lord's Transfiguration, 60-569 Poznań, Poland; International Institute for Molecular Oncology, 60-203 Poznań, Poland
| | - Tara Hiltke
- Office of Cancer Clinical Proteomics Research, National Cancer Institute, Bethesda, MD 20892, USA
| | - Emily Boja
- Office of Cancer Clinical Proteomics Research, National Cancer Institute, Bethesda, MD 20892, USA
| | - Christopher R Kinsinger
- Office of Cancer Clinical Proteomics Research, National Cancer Institute, Bethesda, MD 20892, USA
| | - Mehdi Mesri
- Office of Cancer Clinical Proteomics Research, National Cancer Institute, Bethesda, MD 20892, USA
| | - Ana I Robles
- Office of Cancer Clinical Proteomics Research, National Cancer Institute, Bethesda, MD 20892, USA
| | - Henry Rodriguez
- Office of Cancer Clinical Proteomics Research, National Cancer Institute, Bethesda, MD 20892, USA
| | - David Mutch
- Division of Gynecologic Oncology, Department of Obstetrics and Gynecology, Washington University School of Medicine, St. Louis, MO 63110, USA
| | - Katherine Fuh
- Division of Gynecologic Oncology, Department of Obstetrics and Gynecology, Washington University School of Medicine, St. Louis, MO 63110, USA
| | - Matthew J Ellis
- Lester and Sue Smith Breast Center, Baylor College of Medicine, Houston, TX 77030, USA; Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX 77030, USA; Dan L Duncan Comprehensive Cancer Center, Baylor College of Medicine, Houston, TX 77030, USA
| | - Deborah DeLair
- Department of Pathology, NYU Langone Health, New York, NY 10016, USA
| | - Mathangi Thiagarajan
- Leidos Biomedical Research Inc., Frederick National Laboratory for Cancer Research, Frederick, MD 21702, USA
| | - D R Mani
- The Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | - Gad Getz
- The Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | - Michael Noble
- The Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | - Alexey I Nesvizhskii
- Department of Pathology, University of Michigan, Ann Arbor, MI 48109, USA; Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI 48109, USA
| | - Pei Wang
- Department of Genetics and Genomic Sciences, Icahn Institute of Genomics and Multiscale Biology, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Matthew L Anderson
- College of Medicine Obstetrics & Gynecology, University of South Florida Health, Tampa, FL 33620, USA
| | - Douglas A Levine
- Gynecologic Oncology, Laura and Isaac Perlmutter Cancer Center, NYU Langone Health, New York, NY 10016, USA
| | - Richard D Smith
- Biological Sciences Division, Pacific Northwest National Laboratory, Richland, WA 99354, USA
| | - Samuel H Payne
- Department of Biology, Brigham Young University, Provo, UT 84602, USA
| | - Kelly V Ruggles
- Department of Medicine, NYU School of Medicine, New York, NY 10016, USA
| | - Karin D Rodland
- Biological Sciences Division, Pacific Northwest National Laboratory, Richland, WA 99354, USA; Department of Cell, Developmental, and Cancer Biology, Oregon Health & Science University, Portland, OR 97221, USA.
| | - Li Ding
- Department of Medicine and Genetics, Siteman Cancer Center, Washington University in St. Louis, St. Louis, MO 63110, USA; McDonnell Genome Institute, Washington University in St. Louis, St. Louis, MO 63108, USA.
| | - Bing Zhang
- Lester and Sue Smith Breast Center, Baylor College of Medicine, Houston, TX 77030, USA; Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX 77030, USA; Dan L Duncan Comprehensive Cancer Center, Baylor College of Medicine, Houston, TX 77030, USA.
| | - Tao Liu
- Biological Sciences Division, Pacific Northwest National Laboratory, Richland, WA 99354, USA.
| | - David Fenyö
- Institute for Systems Genetics, NYU School of Medicine, New York, NY 10016, USA; Department of Biochemistry and Molecular Pharmacology, NYU School of Medicine, New York, NY 10016, USA.
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Morrison ES, Shields MR, Bianchi TS, Liu Y, Newman S, Tolic N, Chu RK. Multiple biomarkers highlight the importance of water column processes in treatment wetland organic matter cycling. Water Res 2020; 168:115153. [PMID: 31655441 DOI: 10.1016/j.watres.2019.115153] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/17/2019] [Revised: 08/28/2019] [Accepted: 10/01/2019] [Indexed: 06/10/2023]
Abstract
A suite of biomarkers, including amino acids, pigments, and lignin phenols coupled with high resolution mass spectrometry were used to evaluate differences in the sources and fate of organic matter (OM) in Everglades treatment wetlands as a model for OM cycling in shallow water wetlands. Five components of the system (water column particulate matter, vertical traps, flocculent material, periphyton, and surface soil) were assessed for OM transformations down-profile (i.e. water column to soil) and between treatment cells dominated by emergent aquatic vegetation (EAV) and submerged aquatic vegetation (SAV), with comparisons to reference sites within the remnant Everglades. We found that OM cycling is fundamentally different between EAV and SAV wetlands, and that SAV wetlands have some shared characteristics with similar habitats in the remnant Everglades. Other than locations densely populated by Typha spp., water column particulate organic C was predominantly derived from microbial/cryptomonad sources, rather than macroscopic sources (vascular plants and algal mats). Bacterial amino acid biomarkers were positively correlated with amino acid degradation indices and organic P (Po), respectively suggesting that microbial abundance is associated with less degraded OM, and that further investigation into relationships between microbial biomass and Po is warranted. Overall, this multi-biomarker approach can elucidate the relative degradation of OM pools, identify sources of OM, and highlight the importance of water column processes in shallow water wetlands.
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Affiliation(s)
- Elise S Morrison
- Department of Geological Sciences, University of Florida, Gainesville, FL, USA.
| | - Michael R Shields
- Department of Geological Sciences, University of Florida, Gainesville, FL, USA
| | - Thomas S Bianchi
- Department of Geological Sciences, University of Florida, Gainesville, FL, USA
| | - Yina Liu
- Geochemical and Environmental Research Group, Texas A&M, College Station, TX, USA
| | - Sue Newman
- Everglades Systems Assessment Section, South Florida Water Management District, West Palm Beach, FL, USA
| | - Nikola Tolic
- Environmental Molecular Sciences Laboratory, Pacific Northwest National Laboratory, Richmond, WA, USA
| | - Rosalie K Chu
- Environmental Molecular Sciences Laboratory, Pacific Northwest National Laboratory, Richmond, WA, USA
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28
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Fudyma JD, Lyon J, AminiTabrizi R, Gieschen H, Chu RK, Hoyt DW, Kyle JE, Toyoda J, Tolic N, Heyman HM, Hess NJ, Metz TO, Tfaily MM. Untargeted metabolomic profiling of Sphagnum fallax reveals novel antimicrobial metabolites. Plant Direct 2019; 3:e00179. [PMID: 31742243 PMCID: PMC6848953 DOI: 10.1002/pld3.179] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/09/2019] [Revised: 10/17/2019] [Accepted: 10/21/2019] [Indexed: 05/06/2023]
Abstract
Sphagnum mosses dominate peatlands by employing harsh ecosystem tactics to prevent vascular plant growth and microbial degradation of these large carbon stores. Knowledge about Sphagnum-produced metabolites, their structure and their function, is important to better understand the mechanisms, underlying this carbon sequestration phenomenon in the face of climate variability. It is currently unclear which compounds are responsible for inhibition of organic matter decomposition and the mechanisms by which this inhibition occurs. Metabolite profiling of Sphagnum fallax was performed using two types of mass spectrometry (MS) systems and 1H nuclear magnetic resonance spectroscopy (1H NMR). Lipidome profiling was performed using LC-MS/MS. A total of 655 metabolites, including one hundred fifty-two lipids, were detected by NMR and LC-MS/MS-329 of which were novel metabolites (31 unknown lipids). Sphagum fallax metabolite profile was composed mainly of acid-like and flavonoid glycoside compounds, that could be acting as potent antimicrobial compounds, allowing Sphagnum to control its environment. Sphagnum fallax metabolite composition comparison against previously known antimicrobial plant metabolites confirmed this trend, with seventeen antimicrobial compounds discovered to be present in Sphagnum fallax, the majority of which were acids and glycosides. Biological activity of these compounds needs to be further tested to confirm antimicrobial qualities. Three fungal metabolites were identified providing insights into fungal colonization that may benefit Sphagnum. Characterizing the metabolite profile of Sphagnum fallax provided a baseline to understand the mechanisms in which Sphagnum fallax acts on its environment, its relation to carbon sequestration in peatlands, and provide key biomarkers to predict peatland C store changes (sequestration, emissions) as climate shifts.
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Affiliation(s)
- Jane D. Fudyma
- Department of Environmental ScienceUniversity of ArizonaTucsonAZUSA
| | - Jamee Lyon
- Department of Environmental ScienceUniversity of ArizonaTucsonAZUSA
| | | | - Hans Gieschen
- Department of Environmental ScienceUniversity of ArizonaTucsonAZUSA
| | - Rosalie K. Chu
- Environmental Molecular Sciences LaboratoryPacific Northwest National LaboratoryRichlandWAUSA
| | - David W. Hoyt
- Environmental Molecular Sciences LaboratoryPacific Northwest National LaboratoryRichlandWAUSA
| | - Jennifer E. Kyle
- Biological Sciences DivisionPacific Northwest National LaboratoryRichlandWAUSA
| | - Jason Toyoda
- Environmental Molecular Sciences LaboratoryPacific Northwest National LaboratoryRichlandWAUSA
| | - Nikola Tolic
- Environmental Molecular Sciences LaboratoryPacific Northwest National LaboratoryRichlandWAUSA
| | | | - Nancy J. Hess
- Environmental Molecular Sciences LaboratoryPacific Northwest National LaboratoryRichlandWAUSA
| | - Thomas O. Metz
- Biological Sciences DivisionPacific Northwest National LaboratoryRichlandWAUSA
| | - Malak M. Tfaily
- Department of Environmental ScienceUniversity of ArizonaTucsonAZUSA
- Environmental Molecular Sciences LaboratoryPacific Northwest National LaboratoryRichlandWAUSA
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29
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Veličkovic D, Liao HL, Vilgalys R, Chu RK, Anderton CR. Spatiotemporal Transformation in the Alkaloid Profile of Pinus Roots in Response to Mycorrhization. J Nat Prod 2019; 82:1382-1386. [PMID: 31009217 DOI: 10.1021/acs.jnatprod.8b01050] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/09/2023]
Abstract
Root alkaloids remain highly unexplored in ectomycorrhizae development studies. By employing ultrahigh mass resolution mass spectrometry imaging techniques, we showed substantial relocation and transformation of piperidine alkaloids in pine root tips in response to Suillus mycorrhization. We imaged, in the time frame of ectomycorrhizae formation, a completely different alkaloid profile in Pinus strobus, where basidiospores of Suillus spraguei induce morphogenesis of symbiotic tissues, than in Pinus taeda, where such interaction fails to induce morphogenesis. On the basis of spatial colocalization studies, we proposed some alternative routes for biosynthesis of these alkaloids that supplement existing literature data.
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Affiliation(s)
- Dušan Veličkovic
- Environmental Molecular Sciences Laboratory, Earth and Biological Sciences Directorate , Pacific Northwest National Laboratory , 902 Battelle Boulevard , Richland , Washington 99354 , United States
| | - Hui-Ling Liao
- Biology Department , Duke University , 130 Science Drive , Durham , North Carolina 27708 , United States
- North Florida Research and Education Center , University of Florida , 155 Research Road , Quincy , Florida 32351 , United States
| | - Rytas Vilgalys
- Biology Department , Duke University , 130 Science Drive , Durham , North Carolina 27708 , United States
| | - Rosalie K Chu
- Environmental Molecular Sciences Laboratory, Earth and Biological Sciences Directorate , Pacific Northwest National Laboratory , 902 Battelle Boulevard , Richland , Washington 99354 , United States
| | - Christopher R Anderton
- Environmental Molecular Sciences Laboratory, Earth and Biological Sciences Directorate , Pacific Northwest National Laboratory , 902 Battelle Boulevard , Richland , Washington 99354 , United States
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30
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Yi L, Tsai CF, Dirice E, Swensen AC, Chen J, Shi T, Gritsenko MA, Chu RK, Piehowski PD, Smith RD, Rodland KD, Atkinson MA, Mathews CE, Kulkarni RN, Liu T, Qian WJ. Boosting to Amplify Signal with Isobaric Labeling (BASIL) Strategy for Comprehensive Quantitative Phosphoproteomic Characterization of Small Populations of Cells. Anal Chem 2019; 91:5794-5801. [PMID: 30843680 PMCID: PMC6596310 DOI: 10.1021/acs.analchem.9b00024] [Citation(s) in RCA: 68] [Impact Index Per Article: 13.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/03/2023]
Abstract
Comprehensive phosphoproteomic analysis of small populations of cells remains a daunting task due primarily to the insufficient MS signal intensity from low concentrations of enriched phosphopeptides. Isobaric labeling has a unique multiplexing feature where the "total" peptide signal from all channels (or samples) triggers MS/MS fragmentation for peptide identification, while the reporter ions provide quantitative information. In light of this feature, we tested the concept of using a "boosting" sample (e.g., a biological sample mimicking the study samples but available in a much larger quantity) in multiplexed analysis to enable sensitive and comprehensive quantitative phosphoproteomic measurements with <100 000 cells. This simple boosting to amplify signal with isobaric labeling (BASIL) strategy increased the overall number of quantifiable phosphorylation sites more than 4-fold. Good reproducibility in quantification was demonstrated with a median CV of 15.3% and Pearson correlation coefficient of 0.95 from biological replicates. A proof-of-concept experiment demonstrated the ability of BASIL to distinguish acute myeloid leukemia cells based on the phosphoproteome data. Moreover, in a pilot application, this strategy enabled quantitative analysis of over 20 000 phosphorylation sites from human pancreatic islets treated with interleukin-1β and interferon-γ. Together, this signal boosting strategy provides an attractive solution for comprehensive and quantitative phosphoproteome profiling of relatively small populations of cells where traditional phosphoproteomic workflows lack sufficient sensitivity.
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Affiliation(s)
- Lian Yi
- Biological Sciences Division
| | | | - Ercument Dirice
- Section of Islet Cell Biology and Regenerative Medicine, Joslin Diabetes Center and Harvard Medical School, Boston, Massachusetts 02215, United States
| | | | - Jing Chen
- Department of Pathology, Immunology, and Laboratory Medicine, University of Florida, Gainesville, Florida 32611, United States
| | | | | | - Rosalie K. Chu
- Environmental Molecular Sciences Laboratory, Pacific Northwest National Laboratory, Richland, Washington 99354, United States
| | | | - Richard D. Smith
- Biological Sciences Division
- Environmental Molecular Sciences Laboratory, Pacific Northwest National Laboratory, Richland, Washington 99354, United States
| | | | - Mark A. Atkinson
- Department of Pathology, Immunology, and Laboratory Medicine, University of Florida, Gainesville, Florida 32611, United States
| | - Clayton E. Mathews
- Department of Pathology, Immunology, and Laboratory Medicine, University of Florida, Gainesville, Florida 32611, United States
| | - Rohit N. Kulkarni
- Section of Islet Cell Biology and Regenerative Medicine, Joslin Diabetes Center and Harvard Medical School, Boston, Massachusetts 02215, United States
| | - Tao Liu
- Biological Sciences Division
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31
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Chacon SS, Reardon PN, Burgess CJ, Purvine S, Chu RK, Clauss TR, Walter E, Myrold DD, Washton N, Kleber M. Mineral Surfaces as Agents of Environmental Proteolysis: Mechanisms and Controls. Environ Sci Technol 2019; 53:3018-3026. [PMID: 30767514 DOI: 10.1021/acs.est.8b05583] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/09/2023]
Abstract
We investigated the extent to which contact with mineral surfaces affected the molecular integrity of a model protein, with an emphasis on identifying the mechanisms (hydrolysis, oxidation) and conditions leading to protein alteration. To this end, we studied the ability of four mineral surface archetypes (negatively charged, positively charged, neutral, redox-active) to abiotically fragment a well-characterized protein (GB1) as a function of pH and contact time. GB1 was exposed to the soil minerals montmorillonite, goethite, kaolinite, and birnessite at pH 5 and pH 7 for 1, 8, 24, and 168 h and the supernatant was screened for peptide fragments using Tandem Mass Spectrometry. To distinguish between products of oxidative and hydrolytic cleavage, we combined results from the SEQUEST algorithm, which identifies protein fragments that were cleaved hydrolytically, with the output of a deconvolution algorithm (DECON-Routine) designed to identify oxidation fragments. All four minerals were able to induce protein cleavage. Manganese oxide was effective at both hydrolytic and oxidative cleavage. The fact that phyllosilicates-which are not redox active-induced oxidative cleavage indicates that surfaces acted as catalysts and not as reactants. Our results extend previous observations of proteolytic capabilities in soil minerals to the groups of phyllosilicates and Fe-oxides. We identified structural regions of the protein with particularly high susceptibility to cleavage (loops and β strands) as well as regions that were entirely unaffected (α helix).
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Affiliation(s)
- Stephany S Chacon
- Department of Crop and Soil Science , Oregon State University , Corvallis , Oregon 97331 , United States
| | - Patrick N Reardon
- Environmental Molecular Science Laboratory , Pacific Northwest National Laboratory , Richland , Washington 99352 , United States
- Oregon State University Nuclear Magnetic Resonance Facility , Oregon State University , Corvallis , Oregon 97331 , United States
| | - Christopher J Burgess
- Department of Crop and Soil Science , Oregon State University , Corvallis , Oregon 97331 , United States
| | - Samuel Purvine
- Environmental Molecular Science Laboratory , Pacific Northwest National Laboratory , Richland , Washington 99352 , United States
| | - Rosalie K Chu
- Environmental Molecular Science Laboratory , Pacific Northwest National Laboratory , Richland , Washington 99352 , United States
| | - Therese R Clauss
- Environmental Molecular Science Laboratory , Pacific Northwest National Laboratory , Richland , Washington 99352 , United States
| | - Eric Walter
- Environmental Molecular Science Laboratory , Pacific Northwest National Laboratory , Richland , Washington 99352 , United States
| | - David D Myrold
- Department of Crop and Soil Science , Oregon State University , Corvallis , Oregon 97331 , United States
| | - Nancy Washton
- Environmental Molecular Science Laboratory , Pacific Northwest National Laboratory , Richland , Washington 99352 , United States
| | - Markus Kleber
- Department of Crop and Soil Science , Oregon State University , Corvallis , Oregon 97331 , United States
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32
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Tfaily MM, Wilson RM, Brewer HM, Chu RK, Heyman HM, Hoyt DW, Kyle JE, Purvine SO. Single-throughput Complementary High-resolution Analytical Techniques for Characterizing Complex Natural Organic Matter Mixtures. J Vis Exp 2019. [DOI: 10.3791/59035] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/31/2022] Open
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33
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Nagy G, Veličković D, Chu RK, Carrell AA, Weston DJ, Ibrahim YM, Anderton CR, Smith RD. Towards resolving the spatial metabolome with unambiguous molecular annotations in complex biological systems by coupling mass spectrometry imaging with structures for lossless ion manipulations. Chem Commun (Camb) 2019; 55:306-309. [PMID: 30534702 PMCID: PMC6537888 DOI: 10.1039/c8cc07482h] [Citation(s) in RCA: 21] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
Abstract
We demonstrate the coupling of liquid extraction surface analysis (LESA) to structures for lossless ion manipulations in conjunction with serpentine ultralong path with extending routing (SLIM SUPER) ion mobility-mass spectrometry (IM-MS) for the unambiguous annotation of important isomeric glycoforms in carbon-fixing communities.
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Affiliation(s)
- Gabe Nagy
- Biological Sciences Division, Pacific Northwest National Laboratory, Richland, WA 99352, USA.
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34
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Liang Y, Zhu Y, Dou M, Xu K, Chu RK, Chrisler WB, Zhao R, Hixson KK, Kelly RT. Spatially Resolved Proteome Profiling of <200 Cells from Tomato Fruit Pericarp by Integrating Laser-Capture Microdissection with Nanodroplet Sample Preparation. Anal Chem 2018; 90:11106-11114. [PMID: 30118597 DOI: 10.1021/acs.analchem.8b03005] [Citation(s) in RCA: 31] [Impact Index Per Article: 5.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
Due to sensitivity limitations, global proteome measurements generally require large amounts of biological starting material, which masks heterogeneity within the samples and differential protein expression among constituent cell types. Methods for spatially resolved proteomics are being developed to resolve protein expression for distinct cell types among highly heterogeneous tissues, but have primarily been applied to mammalian systems. Here we evaluate the performance of cell-type-specific proteome analysis of tomato fruit pericarp tissues by a platform integrating laser-capture microdissection (LCM) and a recently developed automated sample preparation system (nanoPOTS, nanodroplet processing in one pot for trace samples). Tomato fruits were cryosectioned prior to LCM and tissues were dissected and captured directly into nanoPOTS chips for processing. Following processing, samples were analyzed by nanoLC-MS/MS. Approximately 1900 unique peptides and 422 proteins were identified on average from ∼0.04 mm2 tissues comprising ∼8-15 parenchyma cells. Spatially resolved proteome analyses were performed using cells of outer epidermis, collenchyma, and parenchyma. Using ≤200 cells, a total of 1,870 protein groups were identified and the various tissues were easily resolved. The results provide spatial and tissue-specific insights into key enzymes and pathways involved in carbohydrate transport and source-sink relationships in tomato fruit. Of note, at the time of fruit ripening studied here, we identified differentially abundant proteins throughout the pericarp related to chlorophyll biogenesis, photosynthesis, and especially transport.
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Affiliation(s)
- Yiran Liang
- Environmental Molecular Sciences Laboratory , Pacific Northwest National Laboratory , Richland , Washington 99354 , United States
| | - Ying Zhu
- Environmental Molecular Sciences Laboratory , Pacific Northwest National Laboratory , Richland , Washington 99354 , United States
| | - Maowei Dou
- Environmental Molecular Sciences Laboratory , Pacific Northwest National Laboratory , Richland , Washington 99354 , United States
| | - Kerui Xu
- Environmental Molecular Sciences Laboratory , Pacific Northwest National Laboratory , Richland , Washington 99354 , United States
| | - Rosalie K Chu
- Environmental Molecular Sciences Laboratory , Pacific Northwest National Laboratory , Richland , Washington 99354 , United States
| | - William B Chrisler
- Biological Sciences Division , Pacific Northwest National Laboratory , Richland , Washington 99354 , United States
| | - Rui Zhao
- Environmental Molecular Sciences Laboratory , Pacific Northwest National Laboratory , Richland , Washington 99354 , United States
| | - Kim K Hixson
- Environmental Molecular Sciences Laboratory , Pacific Northwest National Laboratory , Richland , Washington 99354 , United States
| | - Ryan T Kelly
- Environmental Molecular Sciences Laboratory , Pacific Northwest National Laboratory , Richland , Washington 99354 , United States.,Department of Chemistry and Biochemistry , Brigham Young University , Provo , Utah 84602 , United States
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35
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Zhu Y, Dou M, Piehowski PD, Liang Y, Wang F, Chu RK, Chrisler WB, Smith JN, Schwarz KC, Shen Y, Shukla AK, Moore RJ, Smith RD, Qian WJ, Kelly RT. Spatially Resolved Proteome Mapping of Laser Capture Microdissected Tissue with Automated Sample Transfer to Nanodroplets. Mol Cell Proteomics 2018; 17:1864-1874. [PMID: 29941660 DOI: 10.1074/mcp.tir118.000686] [Citation(s) in RCA: 91] [Impact Index Per Article: 15.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/12/2018] [Revised: 05/09/2018] [Indexed: 01/10/2023] Open
Abstract
Current mass spectrometry (MS)-based proteomics approaches are ineffective for mapping protein expression in tissue sections with high spatial resolution because of the limited overall sensitivity of conventional workflows. Here we report an integrated and automated method to advance spatially resolved proteomics by seamlessly coupling laser capture microdissection (LCM) with a recently developed nanoliter-scale sample preparation system termed nanoPOTS (Nanodroplet Processing in One pot for Trace Samples). The workflow is enabled by prepopulating nanowells with DMSO, which serves as a sacrificial capture liquid for microdissected tissues. The DMSO droplets efficiently collect laser-pressure catapulted LCM tissues as small as 20 μm in diameter with success rates >87%. We also demonstrate that tissue treatment with DMSO can significantly improve proteome coverage, likely due to its ability to dissolve lipids from tissue and enhance protein extraction efficiency. The LCM-nanoPOTS platform was able to identify 180, 695, and 1827 protein groups on average from 12-μm-thick rat brain cortex tissue sections having diameters of 50, 100, and 200 μm, respectively. We also analyzed 100-μm-diameter sections corresponding to 10-18 cells from three different regions of rat brain and comparatively quantified ∼1000 proteins, demonstrating the potential utility for high-resolution spatially resolved mapping of protein expression in tissues.
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Affiliation(s)
- Ying Zhu
- From the ‡Environmental Molecular Sciences Laboratory, Pacific Northwest National Laboratory, Richland, Washington 99354
| | - Maowei Dou
- From the ‡Environmental Molecular Sciences Laboratory, Pacific Northwest National Laboratory, Richland, Washington 99354
| | - Paul D Piehowski
- §Biological Sciences Division, Pacific Northwest National Laboratory, Richland, Washington 99354
| | - Yiran Liang
- From the ‡Environmental Molecular Sciences Laboratory, Pacific Northwest National Laboratory, Richland, Washington 99354
| | - Fangjun Wang
- ¶CAS Key Laboratory of Separation Sciences for Analytical Chemistry, National Chromatographic R&A Center, Dalian Institute of Chemical Physics, Chinese Academy of Sciences (CAS), Dalian 116023, China
| | - Rosalie K Chu
- From the ‡Environmental Molecular Sciences Laboratory, Pacific Northwest National Laboratory, Richland, Washington 99354
| | - William B Chrisler
- §Biological Sciences Division, Pacific Northwest National Laboratory, Richland, Washington 99354
| | - Jordan N Smith
- §Biological Sciences Division, Pacific Northwest National Laboratory, Richland, Washington 99354
| | - Kaitlynn C Schwarz
- From the ‡Environmental Molecular Sciences Laboratory, Pacific Northwest National Laboratory, Richland, Washington 99354
| | - Yufeng Shen
- §Biological Sciences Division, Pacific Northwest National Laboratory, Richland, Washington 99354
| | - Anil K Shukla
- §Biological Sciences Division, Pacific Northwest National Laboratory, Richland, Washington 99354
| | - Ronald J Moore
- §Biological Sciences Division, Pacific Northwest National Laboratory, Richland, Washington 99354
| | - Richard D Smith
- §Biological Sciences Division, Pacific Northwest National Laboratory, Richland, Washington 99354
| | - Wei-Jun Qian
- §Biological Sciences Division, Pacific Northwest National Laboratory, Richland, Washington 99354
| | - Ryan T Kelly
- From the ‡Environmental Molecular Sciences Laboratory, Pacific Northwest National Laboratory, Richland, Washington 99354;
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Bottos EM, Kennedy DW, Romero EB, Fansler SJ, Brown JM, Bramer LM, Chu RK, Tfaily MM, Jansson JK, Stegen JC. Dispersal limitation and thermodynamic constraints govern spatial structure of permafrost microbial communities. FEMS Microbiol Ecol 2018; 94:5037918. [DOI: 10.1093/femsec/fiy110] [Citation(s) in RCA: 39] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2017] [Accepted: 05/13/2018] [Indexed: 11/13/2022] Open
Affiliation(s)
- Eric M Bottos
- Earth and Biological Sciences Directorate, Pacific Northwest National Laboratory, 902 Battelle Boulevard, Richland, WA, 99352, USA
- Department of Biological Sciences, Thompson Rivers University, 805 TRU Way, Kamloops, BC, V2C 0C8, Canada
| | - David W Kennedy
- Earth and Biological Sciences Directorate, Pacific Northwest National Laboratory, 902 Battelle Boulevard, Richland, WA, 99352, USA
| | - Elvira B Romero
- Earth and Biological Sciences Directorate, Pacific Northwest National Laboratory, 902 Battelle Boulevard, Richland, WA, 99352, USA
| | - Sarah J Fansler
- Earth and Biological Sciences Directorate, Pacific Northwest National Laboratory, 902 Battelle Boulevard, Richland, WA, 99352, USA
| | - Joseph M Brown
- Computational Biology, Pacific Northwest National Laboratory, 902 Battelle Boulevard, Richland, WA, 99352, USA
| | - Lisa M Bramer
- National Security Directorate, Pacific Northwest National Laboratory, 902 Battelle Boulevard, Richland, WA, 99352, USA
| | - Rosalie K Chu
- Environmental Molecular Sciences Laboratory, Pacific Northwest National Laboratory, 902 Battelle Boulevard, Richland, WA, 99352, USA
| | - Malak M Tfaily
- Environmental Molecular Sciences Laboratory, Pacific Northwest National Laboratory, 902 Battelle Boulevard, Richland, WA, 99352, USA
| | - Janet K Jansson
- Earth and Biological Sciences Directorate, Pacific Northwest National Laboratory, 902 Battelle Boulevard, Richland, WA, 99352, USA
| | - James C Stegen
- Earth and Biological Sciences Directorate, Pacific Northwest National Laboratory, 902 Battelle Boulevard, Richland, WA, 99352, USA
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37
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Duncan KD, Fang R, Yuan J, Chu RK, Dey SK, Burnum-Johnson KE, Lanekoff I. Quantitative Mass Spectrometry Imaging of Prostaglandins as Silver Ion Adducts with Nanospray Desorption Electrospray Ionization. Anal Chem 2018; 90:7246-7252. [PMID: 29676905 DOI: 10.1021/acs.analchem.8b00350] [Citation(s) in RCA: 54] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022]
Abstract
Prostaglandins (PG) are an important class of lipid biomolecules that are essential in many biological processes, including inflammation and successful pregnancy. Despite a high bioactivity, physiological concentrations are typically low, which makes direct mass spectrometric analysis of endogenous PG species challenging. Consequently, there have not been any studies investigating PG localization to specific morphological regions in tissue sections using mass spectrometry imaging (MSI) techniques. Herein, we show that silver ions, added to the solvent used for nanospray desorption electrospray ionization (nano-DESI) MSI, enhances the ionization of PGs and enables nano-DESI MSI of several species in uterine tissue from day 4 pregnant mice. It was found that detection of [PG + Ag]+ ions increased the sensitivity by ∼30 times, when compared to [PG - H]- ions. Further, the addition of isotopically labeled internal standards enabled generation of quantitative ion images for the detected PG species. Increased sensitivity and quantitative MSI enabled the first proof-of-principle results detailing PG localization in mouse uterus tissue sections. These results show that PG species primarily localized to cellular regions of the luminal epithelium and glandular epithelium in uterine tissue. Further, this study provides a unique scaffold for future studies investigating the PG distribution within biological tissue samples.
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Affiliation(s)
- Kyle D Duncan
- Department of Chemistry-BMC , Uppsala University , SE-751 24 Uppsala , Sweden
| | - Ru Fang
- Department of Chemistry-BMC , Uppsala University , SE-751 24 Uppsala , Sweden
| | - Jia Yuan
- Division of Reproductive Sciences , Cincinnati Children's Hospital Medical Center , Cincinnati , Ohio 45229 , United States
| | - Rosalie K Chu
- Biological Sciences Division , Pacific Northwest National Laboratory , Richland , Washington 99352 , United States
| | - Sudhansu K Dey
- Division of Reproductive Sciences , Cincinnati Children's Hospital Medical Center , Cincinnati , Ohio 45229 , United States
| | - Kristin E Burnum-Johnson
- Biological Sciences Division , Pacific Northwest National Laboratory , Richland , Washington 99352 , United States
| | - Ingela Lanekoff
- Department of Chemistry-BMC , Uppsala University , SE-751 24 Uppsala , Sweden
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38
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Chen H, Yang Z, Chu RK, Tolic N, Liang L, Graham DE, Wullschleger SD, Gu B. Molecular Insights into Arctic Soil Organic Matter Degradation under Warming. Environ Sci Technol 2018; 52:4555-4564. [PMID: 29569920 DOI: 10.1021/acs.est.7b05469] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/08/2023]
Abstract
Molecular composition of the Arctic soil organic carbon (SOC) and its susceptibility to microbial degradation are uncertain due to heterogeneity and unknown SOC compositions. Using ultrahigh-resolution mass spectrometry, we determined the susceptibility and compositional changes of extractable dissolved organic matter (EDOM) in an anoxic warming incubation experiment (up to 122 days) with a tundra soil from Alaska (United States). EDOM was extracted with 10 mM NH4HCO3 from both the organic- and mineral-layer soils during incubation at both -2 and 8 °C. Based on their O:C and H:C ratios, EDOM molecular formulas were qualitatively grouped into nine biochemical classes of compounds, among which lignin-like compounds dominated both the organic and the mineral soils and were the most stable, whereas amino sugars, peptides, and carbohydrate-like compounds were the most biologically labile. These results corresponded with shifts in EDOM elemental composition in which the ratios of O:C and N:C decreased, while the average C content in EDOM, molecular mass, and aromaticity increased after 122 days of incubation. This research demonstrates that certain EDOM components, such as amino sugars, peptides, and carbohydrate-like compounds, are disproportionately more susceptible to microbial degradation than others in the soil, and these results should be considered in SOC degradation models to improve predictions of Arctic climate feedbacks.
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Affiliation(s)
| | - Ziming Yang
- Department of Chemistry , Oakland University , Rochester , Michigan 48309 , United States
| | - Rosalie K Chu
- Environmental Molecular Sciences Laboratory , Pacific Northwest National Laboratory , Richland , Washington 99354 , United States
| | - Nikola Tolic
- Environmental Molecular Sciences Laboratory , Pacific Northwest National Laboratory , Richland , Washington 99354 , United States
| | - Liyuan Liang
- Environmental Molecular Sciences Laboratory , Pacific Northwest National Laboratory , Richland , Washington 99354 , United States
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Stegen JC, Johnson T, Fredrickson JK, Wilkins MJ, Konopka AE, Nelson WC, Arntzen EV, Chrisler WB, Chu RK, Fansler SJ, Graham EB, Kennedy DW, Resch CT, Tfaily M, Zachara J. Publisher Correction: Influences of organic carbon speciation on hyporheic corridor biogeochemistry and microbial ecology. Nat Commun 2018. [PMID: 29515121 PMCID: PMC5841274 DOI: 10.1038/s41467-018-03572-7] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022] Open
Affiliation(s)
- James C Stegen
- Pacific Northwest National Laboratory, Richland, WA, 99352, USA.
| | - Tim Johnson
- Pacific Northwest National Laboratory, Richland, WA, 99352, USA
| | | | - Michael J Wilkins
- Department of Microbiology, The Ohio State University, Columbus, OH, 43210, USA.,School of Earth Sciences, The Ohio State University, Columbus, OH, 43210, USA
| | - Allan E Konopka
- Pacific Northwest National Laboratory, Richland, WA, 99352, USA
| | | | - Evan V Arntzen
- Pacific Northwest National Laboratory, Richland, WA, 99352, USA
| | | | - Rosalie K Chu
- Pacific Northwest National Laboratory, Richland, WA, 99352, USA
| | - Sarah J Fansler
- Pacific Northwest National Laboratory, Richland, WA, 99352, USA
| | - Emily B Graham
- Pacific Northwest National Laboratory, Richland, WA, 99352, USA
| | - David W Kennedy
- Pacific Northwest National Laboratory, Richland, WA, 99352, USA
| | - Charles T Resch
- Pacific Northwest National Laboratory, Richland, WA, 99352, USA
| | - Malak Tfaily
- Pacific Northwest National Laboratory, Richland, WA, 99352, USA
| | - John Zachara
- Pacific Northwest National Laboratory, Richland, WA, 99352, USA
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40
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Stegen JC, Johnson T, Fredrickson JK, Wilkins MJ, Konopka AE, Nelson WC, Arntzen EV, Chrisler WB, Chu RK, Fansler SJ, Graham EB, Kennedy DW, Resch CT, Tfaily M, Zachara J. Influences of organic carbon speciation on hyporheic corridor biogeochemistry and microbial ecology. Nat Commun 2018; 9:585. [PMID: 29422537 PMCID: PMC5805721 DOI: 10.1038/s41467-018-02922-9] [Citation(s) in RCA: 46] [Impact Index Per Article: 7.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2017] [Accepted: 01/09/2018] [Indexed: 11/17/2022] Open
Abstract
The hyporheic corridor (HC) encompasses the river–groundwater continuum, where the mixing of groundwater (GW) with river water (RW) in the HC can stimulate biogeochemical activity. Here we propose a novel thermodynamic mechanism underlying this phenomenon and reveal broader impacts on dissolved organic carbon (DOC) and microbial ecology. We show that thermodynamically favorable DOC accumulates in GW despite lower DOC concentration, and that RW contains thermodynamically less-favorable DOC, but at higher concentrations. This indicates that GW DOC is protected from microbial oxidation by low total energy within the DOC pool, whereas RW DOC is protected by lower thermodynamic favorability of carbon species. We propose that GW–RW mixing overcomes these protections and stimulates respiration. Mixing models coupled with geophysical and molecular analyses further reveal tipping points in spatiotemporal dynamics of DOC and indicate important hydrology–biochemistry–microbial feedbacks. Previously unrecognized thermodynamic mechanisms regulated by GW–RW mixing may therefore strongly influence biogeochemical and microbial dynamics in riverine ecosystems. The mechanisms responsible for stimulating biogeochemical activity in the hyporheic corridor (HC) are poorly understood. Here, the authors find that previously unrecognized thermodynamic mechanisms regulated by groundwater-river water mixing may strongly influence HC biogeochemical and microbial dynamics.
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Affiliation(s)
- James C Stegen
- Pacific Northwest National Laboratory, Richland, WA, 99352, USA.
| | - Tim Johnson
- Pacific Northwest National Laboratory, Richland, WA, 99352, USA
| | | | - Michael J Wilkins
- Department of Microbiology The Ohio State University, Columbus, OH, 43210, USA.,School of Earth Sciences, The Ohio State University, Columbus, OH, 43210, USA
| | - Allan E Konopka
- Pacific Northwest National Laboratory, Richland, WA, 99352, USA
| | | | - Evan V Arntzen
- Pacific Northwest National Laboratory, Richland, WA, 99352, USA
| | | | - Rosalie K Chu
- Pacific Northwest National Laboratory, Richland, WA, 99352, USA
| | - Sarah J Fansler
- Pacific Northwest National Laboratory, Richland, WA, 99352, USA
| | - Emily B Graham
- Pacific Northwest National Laboratory, Richland, WA, 99352, USA
| | - David W Kennedy
- Pacific Northwest National Laboratory, Richland, WA, 99352, USA
| | - Charles T Resch
- Pacific Northwest National Laboratory, Richland, WA, 99352, USA
| | - Malak Tfaily
- Pacific Northwest National Laboratory, Richland, WA, 99352, USA
| | - John Zachara
- Pacific Northwest National Laboratory, Richland, WA, 99352, USA
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41
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Orton DJ, Tfaily MM, Moore RJ, LaMarche BL, Zheng X, Fillmore TL, Chu RK, Weitz KK, Monroe ME, Kelly RT, Smith RD, Baker ES. A Customizable Flow Injection System for Automated, High Throughput, and Time Sensitive Ion Mobility Spectrometry and Mass Spectrometry Measurements. Anal Chem 2018; 90:737-744. [PMID: 29161511 PMCID: PMC5764703 DOI: 10.1021/acs.analchem.7b02986] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/31/2022]
Abstract
To better understand disease conditions and environmental perturbations, multiomic studies combining proteomic, lipidomic, and metabolomic analyses are vastly increasing in popularity. In a multiomic study, a single sample is typically extracted in multiple ways, and various analyses are performed using different instruments, most often based upon mass spectrometry (MS). Thus, one sample becomes many measurements, making high throughput and reproducible evaluations a necessity. One way to address the numerous samples and varying instrumental conditions is to utilize a flow injection analysis (FIA) system for rapid sample injections. While some FIA systems have been created to address these challenges, many have limitations such as costly consumables, low pressure capabilities, limited pressure monitoring, and fixed flow rates. To address these limitations, we created an automated, customizable FIA system capable of operating at a range of flow rates (∼50 nL/min to 500 μL/min) to accommodate both low- and high-flow MS ionization sources. This system also functions at varying analytical throughputs from 24 to 1200 samples per day to enable different MS analysis approaches. Applications ranging from native protein analyses to molecular library construction were performed using the FIA system, and results showed a highly robust and reproducible platform capable of providing consistent performance over many days without carryover, as long as washing buffers specific to each molecular analysis were utilized.
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Affiliation(s)
- Daniel J. Orton
- Biological Sciences Division, Pacific Northwest National Laboratory, Richland, WA 99352, United States
| | - Malak M. Tfaily
- Biological Sciences Division, Pacific Northwest National Laboratory, Richland, WA 99352, United States
| | - Ronald J. Moore
- Biological Sciences Division, Pacific Northwest National Laboratory, Richland, WA 99352, United States
| | - Brian L. LaMarche
- Biological Sciences Division, Pacific Northwest National Laboratory, Richland, WA 99352, United States
| | | | - Thomas L. Fillmore
- Biological Sciences Division, Pacific Northwest National Laboratory, Richland, WA 99352, United States
| | - Rosalie K. Chu
- Biological Sciences Division, Pacific Northwest National Laboratory, Richland, WA 99352, United States
| | - Karl K. Weitz
- Biological Sciences Division, Pacific Northwest National Laboratory, Richland, WA 99352, United States
| | - Matthew E. Monroe
- Biological Sciences Division, Pacific Northwest National Laboratory, Richland, WA 99352, United States
| | - Ryan T. Kelly
- Biological Sciences Division, Pacific Northwest National Laboratory, Richland, WA 99352, United States
| | | | - Erin S. Baker
- Corresponding Author Mailing Address: 902 Battelle Boulevard, P.O. Box 999, MSIN K8-98, Richland, WA 99352, United States; Phone: 509-371-6219; (E.S.B.)
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42
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Veličković D, Chu RK, Carrell AA, Thomas M, Paša-Tolić L, Weston DJ, Anderton CR. Multimodal MSI in Conjunction with Broad Coverage Spatially Resolved MS 2 Increases Confidence in Both Molecular Identification and Localization. Anal Chem 2017; 90:702-707. [PMID: 29210566 DOI: 10.1021/acs.analchem.7b04319] [Citation(s) in RCA: 26] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/29/2023]
Abstract
One critical aspect of mass spectrometry imaging (MSI) is the need to confidently identify detected analytes. While orthogonal tandem MS (e.g., LC-MS2) experiments from sample extracts can assist in annotating ions, the spatial information about these molecules is lost. Accordingly, this could cause mislead conclusions, especially in cases where isobaric species exhibit different distributions within a sample. In this Technical Note, we employed a multimodal imaging approach, using matrix assisted laser desorption/ionization (MALDI)-MSI and liquid extraction surface analysis (LESA)-MS2I, to confidently annotate and localize a broad range of metabolites involved in a tripartite symbiosis system of moss, cyanobacteria, and fungus. We found that the combination of these two imaging modalities generated very congruent ion images, providing the link between highly accurate structural information onfered by LESA and high spatial resolution attainable by MALDI. These results demonstrate how this combined methodology could be very useful in differentiating metabolite routes in complex systems.
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Affiliation(s)
| | | | - Alyssa A Carrell
- Biosciences Division, Oak Ridge National Laboratory , Oak Ridge, Tennessee 37830, United States
| | | | | | - David J Weston
- Biosciences Division, Oak Ridge National Laboratory , Oak Ridge, Tennessee 37830, United States
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43
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Staley C, Ferrieri AP, Tfaily MM, Cui Y, Chu RK, Wang P, Shaw JB, Ansong CK, Brewer H, Norbeck AD, Markillie M, do Amaral F, Tuleski T, Pellizzaro T, Agtuca B, Ferrieri R, Tringe SG, Paša-Tolić L, Stacey G, Sadowsky MJ. Diurnal cycling of rhizosphere bacterial communities is associated with shifts in carbon metabolism. Microbiome 2017; 5:65. [PMID: 28646918 PMCID: PMC5483260 DOI: 10.1186/s40168-017-0287-1] [Citation(s) in RCA: 28] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/05/2017] [Accepted: 06/07/2017] [Indexed: 05/22/2023]
Abstract
BACKGROUND The circadian clock regulates plant metabolic functions and is an important component in plant health and productivity. Rhizosphere bacteria play critical roles in plant growth, health, and development and are shaped primarily by soil communities. Using Illumina next-generation sequencing and high-resolution mass spectrometry, we characterized bacterial communities of wild-type (Col-0) Arabidopsis thaliana and an acyclic line (OX34) ectopically expressing the circadian clock-associated cca1 transcription factor, relative to a soil control, to determine how cycling dynamics affected the microbial community. Microbial communities associated with Brachypodium distachyon (BD21) were also evaluated. RESULTS Significantly different bacterial community structures (P = 0.031) were observed in the rhizosphere of wild-type plants between light and dark cycle samples. Furthermore, 13% of the community showed cycling, with abundances of several families, including Burkholderiaceae, Rhodospirillaceae, Planctomycetaceae, and Gaiellaceae, exhibiting fluctuation in abundances relative to the light cycle. However, limited-to-no cycling was observed in the acyclic CCAox34 line or in soil controls. Significant cycling was also observed, to a lesser extent, in Brachypodium. Functional gene inference revealed that genes involved in carbohydrate metabolism were likely more abundant in near-dawn, dark samples. Additionally, the composition of organic matter in the rhizosphere showed a significant variation between dark and light cycles. CONCLUSIONS The results of this study suggest that the rhizosphere bacterial community is regulated, to some extent, by the circadian clock and is likely influenced by, and exerts influences, on plant metabolism and productivity. The timing of bacterial cycling in relation to that of Arabidopsis further suggests that diurnal dynamics influence plant-microbe carbon metabolism and exchange. Equally important, our results suggest that previous studies done without relevance to time of day may need to be reevaluated with regard to the impact of diurnal cycles on the rhizosphere microbial community.
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Affiliation(s)
- Christopher Staley
- BioTechnology Institute, University of Minnesota, 140 Gortner Lab, 1479 Gortner Ave, Saint Paul, MN, 55108, USA
| | - Abigail P Ferrieri
- Environmental Molecular Sciences Laboratory, Pacific Northwest National Laboratory, Richland, WA, 99354, USA
| | - Malak M Tfaily
- Environmental Molecular Sciences Laboratory, Pacific Northwest National Laboratory, Richland, WA, 99354, USA
| | - Yaya Cui
- Division of Plant Science and Biochemistry, C.S. Bond Life Science Center, University of Missouri, Columbia, MO, 65211, USA
| | - Rosalie K Chu
- Environmental Molecular Sciences Laboratory, Pacific Northwest National Laboratory, Richland, WA, 99354, USA
| | - Ping Wang
- BioTechnology Institute, University of Minnesota, 140 Gortner Lab, 1479 Gortner Ave, Saint Paul, MN, 55108, USA
| | - Jared B Shaw
- Environmental Molecular Sciences Laboratory, Pacific Northwest National Laboratory, Richland, WA, 99354, USA
| | - Charles K Ansong
- Biological Sciences Division, Pacific Northwest National Laboratory, Richland, WA, 99354, USA
| | - Heather Brewer
- Environmental Molecular Sciences Laboratory, Pacific Northwest National Laboratory, Richland, WA, 99354, USA
| | - Angela D Norbeck
- Environmental Molecular Sciences Laboratory, Pacific Northwest National Laboratory, Richland, WA, 99354, USA
| | - Meng Markillie
- Environmental Molecular Sciences Laboratory, Pacific Northwest National Laboratory, Richland, WA, 99354, USA
| | - Fernanda do Amaral
- Division of Plant Science and Biochemistry, C.S. Bond Life Science Center, University of Missouri, Columbia, MO, 65211, USA
| | - Thalita Tuleski
- Division of Plant Science and Biochemistry, C.S. Bond Life Science Center, University of Missouri, Columbia, MO, 65211, USA
| | - Tomás Pellizzaro
- Division of Plant Science and Biochemistry, C.S. Bond Life Science Center, University of Missouri, Columbia, MO, 65211, USA
| | - Beverly Agtuca
- Division of Plant Science and Biochemistry, C.S. Bond Life Science Center, University of Missouri, Columbia, MO, 65211, USA
| | - Richard Ferrieri
- Department of Chemistry, University of Missouri Research Reactor, Columbia, MO, 65211, USA
| | - Susannah G Tringe
- Microbial Systems Group, Metagenome Program, DOE Joint Genome Institute, Walnut Creek, CA, 94598, USA
| | - Ljiljana Paša-Tolić
- Environmental Molecular Sciences Laboratory, Pacific Northwest National Laboratory, Richland, WA, 99354, USA.
| | - Gary Stacey
- Division of Plant Science and Biochemistry, C.S. Bond Life Science Center, University of Missouri, Columbia, MO, 65211, USA
| | - Michael J Sadowsky
- BioTechnology Institute, University of Minnesota, 140 Gortner Lab, 1479 Gortner Ave, Saint Paul, MN, 55108, USA.
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44
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Tfaily MM, Chu RK, Toyoda J, Tolić N, Robinson EW, Paša-Tolić L, Hess NJ. Sequential extraction protocol for organic matter from soils and sediments using high resolution mass spectrometry. Anal Chim Acta 2017; 972:54-61. [DOI: 10.1016/j.aca.2017.03.031] [Citation(s) in RCA: 71] [Impact Index Per Article: 10.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/16/2016] [Revised: 03/14/2017] [Accepted: 03/17/2017] [Indexed: 10/19/2022]
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45
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Blair SL, MacMillan AC, Drozd GT, Goldstein AH, Chu RK, Paša-Tolić L, Shaw JB, Tolić N, Lin P, Laskin J, Laskin A, Nizkorodov SA. Molecular Characterization of Organosulfur Compounds in Biodiesel and Diesel Fuel Secondary Organic Aerosol. Environ Sci Technol 2017; 51:119-127. [PMID: 28005381 DOI: 10.1021/acs.est.6b03304] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/06/2023]
Abstract
Secondary organic aerosol (SOA), formed in the photooxidation of diesel fuel, biodiesel fuel, and 20% biodiesel fuel/80% diesel fuel mixture, are prepared under high-NOx conditions in the presence and absence of sulfur dioxide (SO2), ammonia (NH3), and relative humidity (RH). The composition of condensed-phase organic compounds in SOA is measured using several complementary techniques including aerosol mass spectrometry (AMS), high-resolution nanospray desorption electrospray ionization mass spectrometry (nano-DESI/HRMS), and ultrahigh resolution and mass accuracy 21T Fourier transform ion cyclotron resonance mass spectrometry (21T FT-ICR MS). Results demonstrate that sulfuric acid and condensed organosulfur species formed in photooxidation experiments with SO2 are present in the SOA particles. Fewer organosulfur species are formed in the high humidity experiments, performed at RH 90%, in comparison with experiments done under dry conditions. There is a strong overlap of organosulfur species observed in this study with previous field and chamber studies of SOA. Many MS peaks of organosulfates (R-OS(O)2OH) previously designated as biogenic or of unknown origin in field studies might have originated from anthropogenic sources, such as photooxidation of hydrocarbons present in diesel and biodiesel fuel.
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Affiliation(s)
- Sandra L Blair
- Department of Chemistry, University of California, Irvine , Irvine, California 92697, United States
| | - Amanda C MacMillan
- Department of Chemistry, University of California, Irvine , Irvine, California 92697, United States
| | - Greg T Drozd
- Department of Environmental Science, Policy, & Management, University of California, Berkeley , Berkeley, California 94720, United States
| | - Allen H Goldstein
- Department of Environmental Science, Policy, & Management, University of California, Berkeley , Berkeley, California 94720, United States
| | | | | | | | | | | | | | | | - Sergey A Nizkorodov
- Department of Chemistry, University of California, Irvine , Irvine, California 92697, United States
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46
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Nguyen SN, Liyu AV, Chu RK, Anderton CR, Laskin J. Constant-Distance Mode Nanospray Desorption Electrospray Ionization Mass Spectrometry Imaging of Biological Samples with Complex Topography. Anal Chem 2016; 89:1131-1137. [PMID: 27973782 DOI: 10.1021/acs.analchem.6b03293] [Citation(s) in RCA: 46] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
A new approach for constant-distance mode mass spectrometry imaging (MSI) of biological samples using nanospray desorption electrospray ionization (nano-DESI) was developed by integrating a shear-force probe with the nano-DESI probe. The technical concept and basic instrumental setup, as well as the general operation of the system are described. Mechanical dampening of resonant oscillations due to the presence of shear forces between the probe and the sample surface enabled the constant-distance imaging mode via a computer-controlled closed-feedback loop. The capability of simultaneous chemical and topographic imaging of complex biological samples is demonstrated using living Bacillus subtilis ATCC 49760 colonies on agar plates. The constant-distance mode nano-DESI MSI enabled imaging of many metabolites, including nonribosomal peptides (surfactin, plipastatin, and iturin) on the surface of living bacterial colonies, ranging in diameter from 10 to 13 mm, with height variations up to 0.8 mm above the agar plate. Co-registration of ion images to topographic images provided higher-contrast images. Based on this effort, constant-mode nano-DESI MSI proved to be ideally suited for imaging biological samples of complex topography in their native states.
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Affiliation(s)
- Son N Nguyen
- Physical Sciences Division and ‡Environmental and Molecular Sciences Laboratory, Pacific Northwest National Laboratory , Richland, Washington, United States
| | - Andrey V Liyu
- Physical Sciences Division and ‡Environmental and Molecular Sciences Laboratory, Pacific Northwest National Laboratory , Richland, Washington, United States
| | - Rosalie K Chu
- Physical Sciences Division and ‡Environmental and Molecular Sciences Laboratory, Pacific Northwest National Laboratory , Richland, Washington, United States
| | - Christopher R Anderton
- Physical Sciences Division and ‡Environmental and Molecular Sciences Laboratory, Pacific Northwest National Laboratory , Richland, Washington, United States
| | - Julia Laskin
- Physical Sciences Division and ‡Environmental and Molecular Sciences Laboratory, Pacific Northwest National Laboratory , Richland, Washington, United States
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47
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Stegen JC, Hurlbert AH, Bond-Lamberty B, Chen X, Anderson CG, Chu RK, Dini-Andreote F, Fansler SJ, Hess NJ, Tfaily M. Aligning the Measurement of Microbial Diversity with Macroecological Theory. Front Microbiol 2016; 7:1487. [PMID: 27721808 PMCID: PMC5033968 DOI: 10.3389/fmicb.2016.01487] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/24/2016] [Accepted: 09/07/2016] [Indexed: 11/25/2022] Open
Abstract
The number of microbial operational taxonomic units (OTUs) within a community is akin to species richness within plant/animal (“macrobial”) systems. A large literature documents OTU richness patterns, drawing comparisons to macrobial theory. There is, however, an unrecognized fundamental disconnect between OTU richness and macrobial theory: OTU richness is commonly estimated on a per-individual basis, while macrobial richness is estimated per-area. Furthermore, the range or extent of sampled environmental conditions can strongly influence a study's outcomes and conclusions, but this is not commonly addressed when studying OTU richness. Here we (i) propose a new sampling approach that estimates OTU richness per-mass of soil, which results in strong support for species energy theory, (ii) use data reduction to show how support for niche conservatism emerges when sampling across a restricted range of environmental conditions, and (iii) show how additional insights into drivers of OTU richness can be generated by combining different sampling methods while simultaneously considering patterns that emerge by restricting the range of environmental conditions. We propose that a more rigorous connection between microbial ecology and macrobial theory can be facilitated by exploring how changes in OTU richness units and environmental extent influence outcomes of data analysis. While fundamental differences between microbial and macrobial systems persist (e.g., species concepts), we suggest that closer attention to units and scale provide tangible and immediate improvements to our understanding of the processes governing OTU richness and how those processes relate to drivers of macrobial species richness.
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Affiliation(s)
- James C Stegen
- Pacific Northwest National Laboratory, Biological Sciences Division Richland, WA, USA
| | - Allen H Hurlbert
- Biology Department and Curriculum in Environment and Ecology, University of North Carolina Chapel Hill, NC, USA
| | - Ben Bond-Lamberty
- Pacific Northwest National Laboratory, Joint Global Change Research Institute College Park, MD, USA
| | - Xingyuan Chen
- Pacific Northwest National Laboratory, Atmospheric Sciences and Global Change Division Richland, WA, USA
| | - Carolyn G Anderson
- Pacific Northwest National Laboratory, Biological Sciences Division Richland, WA, USA
| | - Rosalie K Chu
- Pacific Northwest National Laboratory, Environmental Molecular Sciences Laboratory Richland, WA, USA
| | - Francisco Dini-Andreote
- Microbial Ecology Cluster, Genomics Research in Ecology and Evolution in Nature (GREEN), Groningen Institute for Evolutionary Life Sciences (GELIFES), University of Groningen Groningen, Netherlands
| | - Sarah J Fansler
- Pacific Northwest National Laboratory, Biological Sciences Division Richland, WA, USA
| | - Nancy J Hess
- Pacific Northwest National Laboratory, Environmental Molecular Sciences Laboratory Richland, WA, USA
| | - Malak Tfaily
- Pacific Northwest National Laboratory, Environmental Molecular Sciences Laboratory Richland, WA, USA
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48
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Nakayasu ES, Nicora CD, Sims AC, Burnum-Johnson KE, Kim YM, Kyle JE, Matzke MM, Shukla AK, Chu RK, Schepmoes AA, Jacobs JM, Baric RS, Webb-Robertson BJ, Smith RD, Metz TO. MPLEx: a Robust and Universal Protocol for Single-Sample Integrative Proteomic, Metabolomic, and Lipidomic Analyses. mSystems 2016. [PMID: 27822525 DOI: 10.1128/msystems.00043-16.editor] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/09/2023] Open
Abstract
Integrative multi-omics analyses can empower more effective investigation and complete understanding of complex biological systems. Despite recent advances in a range of omics analyses, multi-omic measurements of the same sample are still challenging and current methods have not been well evaluated in terms of reproducibility and broad applicability. Here we adapted a solvent-based method, widely applied for extracting lipids and metabolites, to add proteomics to mass spectrometry-based multi-omics measurements. The metabolite, protein, and lipid extraction (MPLEx) protocol proved to be robust and applicable to a diverse set of sample types, including cell cultures, microbial communities, and tissues. To illustrate the utility of this protocol, an integrative multi-omics analysis was performed using a lung epithelial cell line infected with Middle East respiratory syndrome coronavirus, which showed the impact of this virus on the host glycolytic pathway and also suggested a role for lipids during infection. The MPLEx method is a simple, fast, and robust protocol that can be applied for integrative multi-omic measurements from diverse sample types (e.g., environmental, in vitro, and clinical). IMPORTANCE In systems biology studies, the integration of multiple omics measurements (i.e., genomics, transcriptomics, proteomics, metabolomics, and lipidomics) has been shown to provide a more complete and informative view of biological pathways. Thus, the prospect of extracting different types of molecules (e.g., DNAs, RNAs, proteins, and metabolites) and performing multiple omics measurements on single samples is very attractive, but such studies are challenging due to the fact that the extraction conditions differ according to the molecule type. Here, we adapted an organic solvent-based extraction method that demonstrated broad applicability and robustness, which enabled comprehensive proteomics, metabolomics, and lipidomics analyses from the same sample. Author Video: An author video summary of this article is available.
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Affiliation(s)
- Ernesto S Nakayasu
- Earth & Biological Sciences Directorate, Pacific Northwest National Laboratory, Richland, Washington, USA
| | - Carrie D Nicora
- Earth & Biological Sciences Directorate, Pacific Northwest National Laboratory, Richland, Washington, USA
| | - Amy C Sims
- Department of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
| | - Kristin E Burnum-Johnson
- Earth & Biological Sciences Directorate, Pacific Northwest National Laboratory, Richland, Washington, USA
| | - Young-Mo Kim
- Earth & Biological Sciences Directorate, Pacific Northwest National Laboratory, Richland, Washington, USA
| | - Jennifer E Kyle
- Earth & Biological Sciences Directorate, Pacific Northwest National Laboratory, Richland, Washington, USA
| | - Melissa M Matzke
- Earth & Biological Sciences Directorate, Pacific Northwest National Laboratory, Richland, Washington, USA
| | - Anil K Shukla
- Earth & Biological Sciences Directorate, Pacific Northwest National Laboratory, Richland, Washington, USA
| | - Rosalie K Chu
- Earth & Biological Sciences Directorate, Pacific Northwest National Laboratory, Richland, Washington, USA
| | - Athena A Schepmoes
- Earth & Biological Sciences Directorate, Pacific Northwest National Laboratory, Richland, Washington, USA
| | - Jon M Jacobs
- Earth & Biological Sciences Directorate, Pacific Northwest National Laboratory, Richland, Washington, USA
| | - Ralph S Baric
- Department of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA; Department of Microbiology and Immunology, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
| | | | - Richard D Smith
- Earth & Biological Sciences Directorate, Pacific Northwest National Laboratory, Richland, Washington, USA
| | - Thomas O Metz
- Earth & Biological Sciences Directorate, Pacific Northwest National Laboratory, Richland, Washington, USA
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49
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Stegen JC, Fredrickson JK, Wilkins MJ, Konopka AE, Nelson WC, Arntzen EV, Chrisler WB, Chu RK, Danczak RE, Fansler SJ, Kennedy DW, Resch CT, Tfaily M. Groundwater-surface water mixing shifts ecological assembly processes and stimulates organic carbon turnover. Nat Commun 2016; 7:11237. [PMID: 27052662 PMCID: PMC4829693 DOI: 10.1038/ncomms11237] [Citation(s) in RCA: 163] [Impact Index Per Article: 20.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/02/2015] [Accepted: 03/04/2016] [Indexed: 11/09/2022] Open
Abstract
Environmental transitions often result in resource mixtures that overcome limitations to microbial metabolism, resulting in biogeochemical hotspots and moments. Riverine systems, where groundwater mixes with surface water (the hyporheic zone), are spatially complex and temporally dynamic, making development of predictive models challenging. Spatial and temporal variations in hyporheic zone microbial communities are a key, but understudied, component of riverine biogeochemical function. Here, to investigate the coupling among groundwater-surface water mixing, microbial communities and biogeochemistry, we apply ecological theory, aqueous biogeochemistry, DNA sequencing and ultra-high-resolution organic carbon profiling to field samples collected across times and locations representing a broad range of mixing conditions. Our results indicate that groundwater-surface water mixing in the hyporheic zone stimulates heterotrophic respiration, alters organic carbon composition, causes ecological processes to shift from stochastic to deterministic and is associated with elevated abundances of microbial taxa that may degrade a broad suite of organic compounds.
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Affiliation(s)
- James C Stegen
- Pacific Northwest National Laboratory, 902 Battelle Boulevard, P.O. Box 999, Richland, Washington 99352, USA
| | - James K Fredrickson
- Pacific Northwest National Laboratory, 902 Battelle Boulevard, P.O. Box 999, Richland, Washington 99352, USA
| | - Michael J Wilkins
- Department of Microbiology, The Ohio State University, Columbus, Ohio 43210, USA.,School of Earth Sciences, The Ohio State University, Columbus, Ohio 43210, USA
| | - Allan E Konopka
- Pacific Northwest National Laboratory, 902 Battelle Boulevard, P.O. Box 999, Richland, Washington 99352, USA
| | - William C Nelson
- Pacific Northwest National Laboratory, 902 Battelle Boulevard, P.O. Box 999, Richland, Washington 99352, USA
| | - Evan V Arntzen
- Pacific Northwest National Laboratory, 902 Battelle Boulevard, P.O. Box 999, Richland, Washington 99352, USA
| | - William B Chrisler
- Pacific Northwest National Laboratory, 902 Battelle Boulevard, P.O. Box 999, Richland, Washington 99352, USA
| | - Rosalie K Chu
- Pacific Northwest National Laboratory, 902 Battelle Boulevard, P.O. Box 999, Richland, Washington 99352, USA
| | - Robert E Danczak
- Department of Microbiology, The Ohio State University, Columbus, Ohio 43210, USA
| | - Sarah J Fansler
- Pacific Northwest National Laboratory, 902 Battelle Boulevard, P.O. Box 999, Richland, Washington 99352, USA
| | - David W Kennedy
- Pacific Northwest National Laboratory, 902 Battelle Boulevard, P.O. Box 999, Richland, Washington 99352, USA
| | - Charles T Resch
- Pacific Northwest National Laboratory, 902 Battelle Boulevard, P.O. Box 999, Richland, Washington 99352, USA
| | - Malak Tfaily
- Pacific Northwest National Laboratory, 902 Battelle Boulevard, P.O. Box 999, Richland, Washington 99352, USA
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Anderton CR, Chu RK, Tolić N, Creissen A, Paša-Tolić L. Utilizing a Robotic Sprayer for High Lateral and Mass Resolution MALDI FT-ICR MSI of Microbial Cultures. J Am Soc Mass Spectrom 2016; 27:556-9. [PMID: 26729451 DOI: 10.1007/s13361-015-1324-6] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/13/2015] [Revised: 12/04/2015] [Accepted: 12/08/2015] [Indexed: 05/18/2023]
Abstract
The ability to visualize biochemical interactions between microbial communities using MALDI MSI has provided tremendous insights into a variety of biological fields. Matrix application using a sieve proved to be incredibly useful, but it has many limitations that include uneven matrix coverage and limitation in the types of matrices that could be employed in studies. Recently, there has been a concerted effort to improve matrix application for studying agar plated microbial cultures, many of which utilized automated matrix sprayers. Here, we describe the usefulness of using a robotic sprayer for matrix application. The robotic sprayer has two-dimensional control over where matrix is applied, and a heated capillary that allows for rapid drying of the applied matrix. This method provided a significant increase in MALDI sensitivity over the sieve method, as demonstrated by FT-ICR MS analysis, facilitating the ability to gain higher lateral resolution MS images of Bacillus subtilis than previously reported. This method also allowed for the use of different matrices to be applied to the culture surfaces.
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Affiliation(s)
- Christopher R Anderton
- Environmental Molecular Sciences Laboratory, Pacific Northwest National Laboratory, Richland, WA, USA.
| | - Rosalie K Chu
- Environmental Molecular Sciences Laboratory, Pacific Northwest National Laboratory, Richland, WA, USA
| | - Nikola Tolić
- Environmental Molecular Sciences Laboratory, Pacific Northwest National Laboratory, Richland, WA, USA
| | | | - Ljiljana Paša-Tolić
- Environmental Molecular Sciences Laboratory, Pacific Northwest National Laboratory, Richland, WA, USA
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