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Cai X, Tang L, Wang H, Zhang S, Li X, Liu C, Zhang X, Zhang J. Identification of the cysteine-rich transmembrane module CYSTM family in upland cotton and functional analysis of GhCYSTM5_A in cold and drought stresses. Int J Biol Macromol 2025; 292:139058. [PMID: 39710036 DOI: 10.1016/j.ijbiomac.2024.139058] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/07/2024] [Revised: 12/16/2024] [Accepted: 12/19/2024] [Indexed: 12/24/2024]
Abstract
Abiotic stress poses adverse impacts on cotton production, raising demands for a better understanding of stress-response mechanisms and developing strategies to improve plant performance to cope with stress. CYSTM (Cysteine-rich transmembrane module) is a widely distributed and conserved family in eukaryotes that performs potential functions in stress tolerance. However, CYSTM genes and their role in stress response is uncharacterized in cotton. Herein, we identified a total of 23 CYSTM genes from upland cotton. They underwent mainly segmental duplications and experienced purifying selection during evolution. Expression profiles revealed GhCYSTMs were closely related to abiotic stress response. Furthermore, GhCYSTM5_A overexpression enhanced the cold and drought tolerance of cotton, while RNAi-mediated knockdown of GhCYSTM5_A decreased stress tolerance. Transcriptome analysis revealed GhCYSTM5_A may contribute to cold and drought tolerance by regulating the expression of oxidative stress-related genes through MAPK signaling. GhCYSTM5_A, localized in the nucleus and cytoplasm interacted with a secreted cysteine-rich peptide GhGASA14. Moreover, GhGASA14 silencing rendered cotton plants vulnerable to cold and drought. These results suggested the potential functions of GhCYSTM genes in abiotic stress and a positive role of GhCYSTM5_A in cold and drought tolerance. This study sheds light on comprehensive characteristics of GhCYSTM, and provides candidate genes for genetic breeding.
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Affiliation(s)
- Xiao Cai
- Institute of Cotton, Hebei Academy of Agriculture and Forestry Sciences, Key Laboratory of Cotton Biology and Genetic breeding in Huanghuaihai Semiarid Area, Ministry of Agriculture and Rural Affairs, Shijiazhuang 050051, Hebei, China
| | - Liyuan Tang
- Institute of Cotton, Hebei Academy of Agriculture and Forestry Sciences, Key Laboratory of Cotton Biology and Genetic breeding in Huanghuaihai Semiarid Area, Ministry of Agriculture and Rural Affairs, Shijiazhuang 050051, Hebei, China
| | - Haitao Wang
- Institute of Cotton, Hebei Academy of Agriculture and Forestry Sciences, Key Laboratory of Cotton Biology and Genetic breeding in Huanghuaihai Semiarid Area, Ministry of Agriculture and Rural Affairs, Shijiazhuang 050051, Hebei, China
| | - Sujun Zhang
- Institute of Cotton, Hebei Academy of Agriculture and Forestry Sciences, Key Laboratory of Cotton Biology and Genetic breeding in Huanghuaihai Semiarid Area, Ministry of Agriculture and Rural Affairs, Shijiazhuang 050051, Hebei, China
| | - Xinghe Li
- Institute of Cotton, Hebei Academy of Agriculture and Forestry Sciences, Key Laboratory of Cotton Biology and Genetic breeding in Huanghuaihai Semiarid Area, Ministry of Agriculture and Rural Affairs, Shijiazhuang 050051, Hebei, China
| | - Cunjing Liu
- Institute of Cotton, Hebei Academy of Agriculture and Forestry Sciences, Key Laboratory of Cotton Biology and Genetic breeding in Huanghuaihai Semiarid Area, Ministry of Agriculture and Rural Affairs, Shijiazhuang 050051, Hebei, China
| | - Xiangyun Zhang
- Institute of Cotton, Hebei Academy of Agriculture and Forestry Sciences, Key Laboratory of Cotton Biology and Genetic breeding in Huanghuaihai Semiarid Area, Ministry of Agriculture and Rural Affairs, Shijiazhuang 050051, Hebei, China
| | - Jianhong Zhang
- Institute of Cotton, Hebei Academy of Agriculture and Forestry Sciences, Key Laboratory of Cotton Biology and Genetic breeding in Huanghuaihai Semiarid Area, Ministry of Agriculture and Rural Affairs, Shijiazhuang 050051, Hebei, China.
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Cai X, Liu C, Tang L, Zhang S, Li X, Wang H, Zhang J. A cysteine-rich transmembrane module peptide GhCYSTM9 is involved in cold stress response. BMC PLANT BIOLOGY 2025; 25:262. [PMID: 40011827 PMCID: PMC11866895 DOI: 10.1186/s12870-025-06271-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/22/2024] [Accepted: 02/17/2025] [Indexed: 02/28/2025]
Abstract
BACKGROUND Cysteine-rich transmembrane module (CYSTM) peptides, which are widely distributed and highly conserved in eukaryotes, are largely involved in stress response and defence. However, the role of cotton CYSTM genes in the stress response has not been functionally characterized. RESULTS In this study, we identified GhCYSTM9 as a cold stress-responsive CYSTM member from upland cotton. Compared with that in control cotton plants, GhCYSTM9 silencing in cotton resulted in reduced tolerance under cold stress, accompanied by higher MDA contents and lower proline contents and SOD activities in leaves. Overexpressing GhCYTMS9 in Arabidopsis significantly increased the seed germination rates and root elongation at the germination stage. Compared with wild-type seedlings, GhCYSTM9-overexpressing seedlings presented lower MDA contents and greater proline contents in leaves under cold stress. Transcriptome analysis of transgenic Arabidopsis revealed that GhCYSTM9 may contribute to the cold response by regulating oxidative stress-related genes to mediate ROS levels. Yeast two-hybrid and bimolecular fluorescence complementation assays confirmed that GhCYSTM9 interacted with the light-harvesting chlorophyll a/b-binding protein GhLHBC2A1. CONCLUSIONS Overall, our results revealed a positive role of GhCYSTM9 in cold stress defence and suggested candidate genes for the genetic breeding of cold defence.
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Affiliation(s)
- Xiao Cai
- Institute of Cotton, Key Laboratory of Cotton Biology and Genetic Breeding in Huanghuaihai Semiarid Area, Ministry of Agriculture and Rural Affairs, Hebei Academy of Agriculture and Forestry Sciences, No. 598 Heping west Road, Shijiazhuang, 050051, Hebei, China
| | - Cunjing Liu
- Institute of Cotton, Key Laboratory of Cotton Biology and Genetic Breeding in Huanghuaihai Semiarid Area, Ministry of Agriculture and Rural Affairs, Hebei Academy of Agriculture and Forestry Sciences, No. 598 Heping west Road, Shijiazhuang, 050051, Hebei, China
| | - Liyuan Tang
- Institute of Cotton, Key Laboratory of Cotton Biology and Genetic Breeding in Huanghuaihai Semiarid Area, Ministry of Agriculture and Rural Affairs, Hebei Academy of Agriculture and Forestry Sciences, No. 598 Heping west Road, Shijiazhuang, 050051, Hebei, China
| | - Sujun Zhang
- Institute of Cotton, Key Laboratory of Cotton Biology and Genetic Breeding in Huanghuaihai Semiarid Area, Ministry of Agriculture and Rural Affairs, Hebei Academy of Agriculture and Forestry Sciences, No. 598 Heping west Road, Shijiazhuang, 050051, Hebei, China
| | - Xinghe Li
- Institute of Cotton, Key Laboratory of Cotton Biology and Genetic Breeding in Huanghuaihai Semiarid Area, Ministry of Agriculture and Rural Affairs, Hebei Academy of Agriculture and Forestry Sciences, No. 598 Heping west Road, Shijiazhuang, 050051, Hebei, China
| | - Haitao Wang
- Institute of Cotton, Key Laboratory of Cotton Biology and Genetic Breeding in Huanghuaihai Semiarid Area, Ministry of Agriculture and Rural Affairs, Hebei Academy of Agriculture and Forestry Sciences, No. 598 Heping west Road, Shijiazhuang, 050051, Hebei, China
| | - Jianhong Zhang
- Institute of Cotton, Key Laboratory of Cotton Biology and Genetic Breeding in Huanghuaihai Semiarid Area, Ministry of Agriculture and Rural Affairs, Hebei Academy of Agriculture and Forestry Sciences, No. 598 Heping west Road, Shijiazhuang, 050051, Hebei, China.
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Gameiro E, Juárez-Núñez KA, Fung JJ, Shankar S, Luke B, Khmelinskii A. Genome-wide conditional degron libraries for functional genomics. J Cell Biol 2025; 224:e202409007. [PMID: 39692735 DOI: 10.1083/jcb.202409007] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/03/2024] [Revised: 11/06/2024] [Accepted: 11/08/2024] [Indexed: 12/19/2024] Open
Abstract
Functional genomics with libraries of knockout alleles is limited to non-essential genes and convoluted by the potential accumulation of suppressor mutations in knockout backgrounds, which can lead to erroneous functional annotations. To address these limitations, we constructed genome-wide libraries of conditional alleles based on the auxin-inducible degron (AID) system for inducible degradation of AID-tagged proteins in the budding yeast Saccharomyces cerevisiae. First, we determined that N-terminal tagging is at least twice as likely to inadvertently impair protein function across the proteome. We thus constructed two libraries with over 5,600 essential and non-essential proteins fused at the C-terminus with an AID tag and an optional fluorescent protein. Approximately 90% of AID-tagged proteins were degraded in the presence of the auxin analog 5-Ph-IAA, with initial protein abundance and tag accessibility as limiting factors. Genome-wide screens for DNA damage response factors revealed a role for the glucose signaling factor GSF2 in resistance to hydroxyurea, highlighting how the AID libraries extend the yeast genetics toolbox.
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Affiliation(s)
| | | | | | | | - Brian Luke
- Institute of Molecular Biology , Mainz, Germany
- Johannes Gutenberg University Mainz, Institute for Developmental Neurology , Mainz, Germany
| | - Anton Khmelinskii
- Institute of Molecular Biology , Mainz, Germany
- Institute for Quantitative and Computational Biosciences, Johannes Gutenberg University Mainz , Mainz, Germany
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Nunna H, Palmer NA, Sarath G, Wegulo SN, Tatineni S. Synergistic interaction between wheat streak mosaic virus and Triticum mosaic virus modulates wheat transcriptome to favor disease severity. FRONTIERS IN PLANT SCIENCE 2025; 15:1504482. [PMID: 39845488 PMCID: PMC11750876 DOI: 10.3389/fpls.2024.1504482] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 09/30/2024] [Accepted: 12/16/2024] [Indexed: 01/24/2025]
Abstract
Wheat streak mosaic virus (WSMV; Tritimovirus tritici) and Triticum mosaic virus (TriMV; Poacevirus tritici), the type members of the genera Tritimovirus and Poacevirus, respectively, in the family Potyviridae, are economically important wheat viruses in the Great Plains region of the USA. Co-infection of wheat by WSMV and TriMV results in disease synergism. Wheat transcriptome from singly (WSMV or TriMV) and doubly (WSMV+TriMV) infected upper uninoculated leaves were analyzed by RNA-Seq at 9, 12, and 21 days postinoculation. A total of 31,754 differentially expressed wheat genes were identified among all comparisons. Weighted gene co-expression network analysis resulted in 11 co-expression modules that broadly indicated gene expression profiles attributable to control, single, and double infections. Gene ontology, protein domain and KEGG (Kyoto Encyclopedia of Genes and Genomes) pathway enrichment analysis revealed that genes specifically related to photosynthesis, growth, stress, senescence, and defense were differentially enriched. Analyses of transcription factor families indicated that genes encoding MADS-Box and ARFs were strongly enriched in control plants, moderately repressed in TriMV-infected plants, and more strongly repressed in WSMV- and doubly-infected plants, whereas genes encoding WRKYs and NACs were more enriched in WSMV or doubly infected plants. Synergistic interactions between WSMV and TriMV drastically enhanced disease phenotype compared to individual virus infections. The progression of disease phenotype was correlated to transcriptomic changes, indicating the strong disruption to plant metabolism and likely channeling of energy and metabolites for viral replication. There also appeared to be a connection between viral replication and plastid health, with stronger downregulation of genes needed for chloroplast functions and integrity and increased synergism between TriMV and WSMV. This study provides an overview of transcriptomic changes distinctly influenced by TriMV and WSMV either singly or in combination and provides a good correlation between specific transcription factors and genes associated with metabolism to observed phenotypic changes in plant growth and disease synergism.
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Affiliation(s)
- Haritha Nunna
- Department of Plant Pathology, University of Nebraska-Lincoln, Lincoln, NE, United States
| | - Nathan A. Palmer
- United States Department of Agriculture-Agricultural Research Service (USDA-ARS), Wheat, Sorghum, and Forage Research Unit, Lincoln, NE, United States
| | - Gautam Sarath
- United States Department of Agriculture-Agricultural Research Service (USDA-ARS), Wheat, Sorghum, and Forage Research Unit, Lincoln, NE, United States
| | - Stephen N. Wegulo
- Department of Plant Pathology, University of Nebraska-Lincoln, Lincoln, NE, United States
| | - Satyanarayana Tatineni
- Department of Plant Pathology, University of Nebraska-Lincoln, Lincoln, NE, United States
- United States Department of Agriculture-Agricultural Research Service (USDA-ARS), Wheat, Sorghum, and Forage Research Unit, Lincoln, NE, United States
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Eliseeva IA, Ryazanova L, Ledova L, Zvonarev A, Valiakhmetov A, Suntsova M, Modestov A, Buzdin A, Lyabin DN, Kulakovskiy IV, Kulakovskaya T. Ppn2 Polyphosphatase Improves the Ability of S. cerevisiae to Grow in Mild Alkaline Medium. J Fungi (Basel) 2024; 10:797. [PMID: 39590716 PMCID: PMC11595888 DOI: 10.3390/jof10110797] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/27/2024] [Revised: 11/11/2024] [Accepted: 11/14/2024] [Indexed: 11/28/2024] Open
Abstract
Inorganic polyphosphates and respective metabolic pathways and enzymes are important factors for yeast active growth in unfavorable conditions. However, particular proteins of polyphosphate metabolism remain poorly explored in this context. Here we report biochemical and transcriptomic characterization of the CRN/PPN2 yeast strain (derived from Ppn1-lacking CRN strain) overexpressing poorly studied Ppn2 polyphosphatase. We showed that Ppn2 overexpression significantly reduced lag phase in the alkaline medium presumably due to the ability of Ppn2 to efficiently hydrolyze inorganic polyphosphates and thus neutralize hydroxide ions in the cell. With RNA-Seq, we compared the molecular phenotypes of CRN/PPN2 and its parent CRN strain grown in YPD or alkaline medium and detected transcriptomic changes induced by Ppn2 overexpression and reflecting the adaptation to alkaline conditions. The core set of upregulated genes included several genes with a previously unknown function. Respective knockout strains (∆ecm8, ∆yol160w, ∆cpp3, ∆ycr099c) exhibited defects of growth or cell morphology in the alkaline medium, proving the functional involvement of the respective proteins in sustaining growth in alkaline conditions.
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Affiliation(s)
- Irina A. Eliseeva
- Institute of Protein Research, Russian Academy of Sciences, Institutskaya 4, Pushchino 142290, Russia
| | - Lubov Ryazanova
- Federal Research Center “Pushchino Scientific Center for Biological Research of the Russian Academy of Sciences”, Skryabin Institute of Biochemistry and Physiology of Microorganisms, pr. Nauki 5, Pushchino 142290, Russia
| | - Larisa Ledova
- Federal Research Center “Pushchino Scientific Center for Biological Research of the Russian Academy of Sciences”, Skryabin Institute of Biochemistry and Physiology of Microorganisms, pr. Nauki 5, Pushchino 142290, Russia
| | - Anton Zvonarev
- Federal Research Center “Pushchino Scientific Center for Biological Research of the Russian Academy of Sciences”, Skryabin Institute of Biochemistry and Physiology of Microorganisms, pr. Nauki 5, Pushchino 142290, Russia
| | - Airat Valiakhmetov
- Federal Research Center “Pushchino Scientific Center for Biological Research of the Russian Academy of Sciences”, Skryabin Institute of Biochemistry and Physiology of Microorganisms, pr. Nauki 5, Pushchino 142290, Russia
| | - Maria Suntsova
- Endocrinology Research Center, Dmitriya Ulyanova 11, Moscow 117036, Russia
| | | | - Anton Buzdin
- Endocrinology Research Center, Dmitriya Ulyanova 11, Moscow 117036, Russia
- Institute of Personalized Oncology, I.M. Sechenov First Moscow State Medical University, Bolshaya Pirogovskaya 2 bld. 4, Moscow 119991, Russia
- Shemyakin-Ovchinnikov Institute of Bioorganic Chemistry, Miklukho-Maklaya 16/10, Moscow 117997, Russia
| | - Dmitry N. Lyabin
- Institute of Protein Research, Russian Academy of Sciences, Institutskaya 4, Pushchino 142290, Russia
| | - Ivan V. Kulakovskiy
- Institute of Protein Research, Russian Academy of Sciences, Institutskaya 4, Pushchino 142290, Russia
| | - Tatiana Kulakovskaya
- Federal Research Center “Pushchino Scientific Center for Biological Research of the Russian Academy of Sciences”, Skryabin Institute of Biochemistry and Physiology of Microorganisms, pr. Nauki 5, Pushchino 142290, Russia
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Subedi A, Minsavage GV, Roberts PD, Goss EM, Sharma A, Jones JB. Insights into bs5 resistance mechanisms in pepper against Xanthomonas euvesicatoria through transcriptome profiling. BMC Genomics 2024; 25:711. [PMID: 39044136 PMCID: PMC11267861 DOI: 10.1186/s12864-024-10604-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/13/2024] [Accepted: 07/08/2024] [Indexed: 07/25/2024] Open
Abstract
BACKGROUND Bacterial spot of pepper (BSP), caused by four different Xanthomonas species, primarily X. euvesicatoria (Xe), poses a significant challenge in pepper cultivation. Host resistance is considered the most important approach for BSP control, offering long-term protection and sustainability. While breeding for resistance to BSP for many years focused on dominant R genes, introgression of recessive resistance has been a more recent focus of breeding programs. The molecular interactions underlying recessive resistance remain poorly understood. RESULTS In this study, transcriptomic analyses were performed to elucidate defense responses triggered by Xe race P6 infection by two distinct pepper lines: the Xe-resistant line ECW50R containing bs5, a recessive resistance gene that confers resistance to all pepper Xe races, and the Xe-susceptible line ECW. The results revealed a total of 3357 upregulated and 4091 downregulated genes at 0, 1, 2, and 4 days post-inoculation (dpi), with the highest number of differentially expressed genes (DEGs) observed at 2 dpi. Pathway analysis highlighted DEGs in key pathways such as plant-pathogen interaction, MAPK signaling pathway, plant hormone signal transduction, and photosynthesis - antenna proteins, along with cysteine and methionine metabolism. Notably, upregulation of genes associated with PAMP-Triggered Immunity (PTI) was observed, including components like FLS2, Ca-dependent pathways, Rboh, and reactive oxygen species (ROS) generation. In support of these results, infiltration of ECW50R leaves with bacterial suspension of Xe led to observable hydrogen peroxide accumulation without a rapid increase in electrolyte leakage, suggestive of the absence of Effector-Triggered Immunity (ETI). Furthermore, the study confirmed that bs5 does not disrupt the effector delivery system, as evidenced by incompatible interactions between avirulence genes and their corresponding dominant resistant genes in the bs5 background. CONCLUSION Overall, these findings provide insights into the molecular mechanisms underlying bs5-mediated resistance in pepper against Xe and suggest a robust defense mechanism in ECW50R, primarily mediated through PTI. Given that bs5 provides early strong response for resistance, combining this resistance with other dominant resistance genes will enhance the durability of resistance to BSP.
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Affiliation(s)
- Aastha Subedi
- Department of Plant Pathology, University of Florida, Gainesville, FL, USA
| | - Gerald V Minsavage
- Department of Plant Pathology, University of Florida, Gainesville, FL, USA
| | - Pamela D Roberts
- Southwest Florida Research & Education Center, University of Florida, Immokalee, FL, USA
| | - Erica M Goss
- Department of Plant Pathology, University of Florida, Gainesville, FL, USA
- Emerging Pathogens Institute, University of Florida, Gainesville, FL, USA
| | - Anuj Sharma
- Department of Plant Pathology, University of Florida, Gainesville, FL, USA
- Department of Horticultural Sciences, Gulf Coast Research and Education Center, University of Florida, Wimauma, FL, USA
| | - Jeffrey B Jones
- Department of Plant Pathology, University of Florida, Gainesville, FL, USA.
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Robison ZL, Ren Q, Zhang Z. How to Survive without Water: A Short Lesson on the Desiccation Tolerance of Budding Yeast. Int J Mol Sci 2024; 25:7514. [PMID: 39062766 PMCID: PMC11277543 DOI: 10.3390/ijms25147514] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/21/2024] [Revised: 07/03/2024] [Accepted: 07/08/2024] [Indexed: 07/28/2024] Open
Abstract
Water is essential to all life on earth. It is a major component that makes up living organisms and plays a vital role in multiple biological processes. It provides a medium for chemical and enzymatic reactions in the cell and is a major player in osmoregulation and the maintenance of cell turgidity. Despite this, many organisms, called anhydrobiotes, are capable of surviving under extremely dehydrated conditions. Less is known about how anhydrobiotes adapt and survive under desiccation stress. Studies have shown that morphological and physiological changes occur in anhydrobiotes in response to desiccation stress. Certain disaccharides and proteins, including heat shock proteins, intrinsically disordered proteins, and hydrophilins, play important roles in the desiccation tolerance of anhydrobiotes. In this review, we summarize the recent findings of desiccation tolerance in the budding yeast Saccharomyces cerevisiae. We also propose that the yeast under desiccation could be used as a model to study neurodegenerative disorders.
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Affiliation(s)
| | | | - Zhaojie Zhang
- Department of Zoology and Physiology, University of Wyoming, Laramie, WY 82071, USA; (Z.L.R.); (Q.R.)
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Ren G, Zhang Y, Chen Z, Xue X, Fan H. Research Progress of Small Plant Peptides on the Regulation of Plant Growth, Development, and Abiotic Stress. Int J Mol Sci 2024; 25:4114. [PMID: 38612923 PMCID: PMC11012589 DOI: 10.3390/ijms25074114] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2024] [Revised: 04/02/2024] [Accepted: 04/04/2024] [Indexed: 04/14/2024] Open
Abstract
Small peptides in plants are typically characterized as being shorter than 120 amino acids, with their biologically active variants comprising fewer than 20 amino acids. These peptides are instrumental in regulating plant growth, development, and physiological processes, even at minimal concentrations. They play a critical role in long-distance signal transduction within plants and act as primary responders to a range of stress conditions, including salinity, alkalinity, drought, high temperatures, and cold. This review highlights the crucial roles of various small peptides in plant growth and development, plant resistance to abiotic stress, and their involvement in long-distance transport. Furthermore, it elaborates their roles in the regulation of plant hormone biosynthesis. Special emphasis is given to the functions and mechanisms of small peptides in plants responding to abiotic stress conditions, aiming to provide valuable insights for researchers working on the comprehensive study and practical application of small peptides.
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Affiliation(s)
- Guocheng Ren
- Shandong Provincial Key Laboratory of Plant Stress, College of Life Sciences, Shandong Normal University, Jinan 250014, China; (G.R.); (Y.Z.); (Z.C.); (X.X.)
- Dongying Key Laboratory of Salt Tolerance Mechanism and Application of Halophytes, Dongying Institute, Shandong Normal University, No. 2 Kangyang Road, Dongying 257000, China
| | - Yanling Zhang
- Shandong Provincial Key Laboratory of Plant Stress, College of Life Sciences, Shandong Normal University, Jinan 250014, China; (G.R.); (Y.Z.); (Z.C.); (X.X.)
- Dongying Key Laboratory of Salt Tolerance Mechanism and Application of Halophytes, Dongying Institute, Shandong Normal University, No. 2 Kangyang Road, Dongying 257000, China
| | - Zengting Chen
- Shandong Provincial Key Laboratory of Plant Stress, College of Life Sciences, Shandong Normal University, Jinan 250014, China; (G.R.); (Y.Z.); (Z.C.); (X.X.)
| | - Xin Xue
- Shandong Provincial Key Laboratory of Plant Stress, College of Life Sciences, Shandong Normal University, Jinan 250014, China; (G.R.); (Y.Z.); (Z.C.); (X.X.)
| | - Hai Fan
- Shandong Provincial Key Laboratory of Plant Stress, College of Life Sciences, Shandong Normal University, Jinan 250014, China; (G.R.); (Y.Z.); (Z.C.); (X.X.)
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Giolito ML, Bigliani G, Meinero R, Taubas JV. Palmitoylation of CYSTM (CYSPD) proteins in yeast. J Biol Chem 2024; 300:105609. [PMID: 38159851 PMCID: PMC10840359 DOI: 10.1016/j.jbc.2023.105609] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/22/2023] [Revised: 12/11/2023] [Accepted: 12/14/2023] [Indexed: 01/03/2024] Open
Abstract
A superfamily of proteins called cysteine transmembrane is widely distributed across eukaryotes. These small proteins are characterized by the presence of a conserved motif at the C-terminal region, rich in cysteines, that has been annotated as a transmembrane domain. Orthologs of these proteins have been involved in resistance to pathogens and metal detoxification. The yeast members of the family are YBR016W, YDL012C, YDR034W-B, and YDR210W. Here, we begin the characterization of these proteins at the molecular level and show that Ybr016w, Ydr034w-b, and Ydr210w are palmitoylated proteins. Protein S-acylation or palmitoylation, is a posttranslational modification that consists of the addition of long-chain fatty acids to cysteine residues. We provide evidence that Ybr016w, Ydr210w, and Ydr034w-b are localized to the plasma membrane and exhibit varying degrees of polarity toward the daughter cell, which is dependent on endocytosis and recycling. We suggest the names CPP1, CPP2, and CPP3 (C terminally palmitoylated protein) for YBR016W, YDR210W, and YDR034W-B, respectively. We show that palmitoylation is responsible for the binding of these proteins to the membrane indicating that the cysteine transmembrane on these proteins is not a transmembrane domain. We propose renaming the C-terminal cysteine-rich domain as cysteine-rich palmitoylated domain. Loss of the palmitoyltransferase Erf2 leads to partial degradation of Ybr016w (Cpp1), whereas in the absence of the palmitoyltransferase Akr1, members of this family are completely degraded. For Cpp1, we show that this degradation occurs via the proteasome in an Rsp5-dependent manner, but is not exclusively due to a lack of Cpp1 palmitoylation.
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Affiliation(s)
- María Luz Giolito
- Centro de Investigaciones en Química Biológica de Córdoba (CIQUIBIC), CONICET, Universidad Nacional de Córdoba, Córdoba, Argentina; Departamento de Química Biológica Ranwel Caputto, Facultad de Ciencias Químicas, Universidad Nacional de Córdoba, Córdoba, Argentina
| | - Gonzalo Bigliani
- Centro de Investigaciones en Química Biológica de Córdoba (CIQUIBIC), CONICET, Universidad Nacional de Córdoba, Córdoba, Argentina; Departamento de Química Biológica Ranwel Caputto, Facultad de Ciencias Químicas, Universidad Nacional de Córdoba, Córdoba, Argentina
| | - Rocío Meinero
- Centro de Investigaciones en Química Biológica de Córdoba (CIQUIBIC), CONICET, Universidad Nacional de Córdoba, Córdoba, Argentina; Departamento de Química Biológica Ranwel Caputto, Facultad de Ciencias Químicas, Universidad Nacional de Córdoba, Córdoba, Argentina
| | - Javier Valdez Taubas
- Centro de Investigaciones en Química Biológica de Córdoba (CIQUIBIC), CONICET, Universidad Nacional de Córdoba, Córdoba, Argentina; Departamento de Química Biológica Ranwel Caputto, Facultad de Ciencias Químicas, Universidad Nacional de Córdoba, Córdoba, Argentina.
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Li X, Huo Y, Wang Z. Screening of potential biomarkers of system lupus erythematosus based on WGCNA and machine learning algorithms. Medicine (Baltimore) 2023; 102:e36243. [PMID: 38013304 PMCID: PMC10681579 DOI: 10.1097/md.0000000000036243] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/10/2023] [Accepted: 10/31/2023] [Indexed: 11/29/2023] Open
Abstract
Systemic lupus erythematosus (SLE) is an autoimmune disease involving multiple systems. Its recurrent episodes and fluctuating disease courses have a severe impact on patients. Biomarkers to predict disease prognosis and remission are still lacking in SLE. We downloaded the GSE50772 dataset from the Gene Expression Omnibus database and identified differentially expressed genes (DEGs) between SLE and healthy controls. Weighted gene co-expression network analysis was used to identify key gene modules and corresponding genes in SLE. The overlapped genes in DEGs and key modules are used as key genes for subsequent analysis. These key genes were analyzed using 3 machine learning algorithms, including the least absolute shrinkage and selection operator, support vector machine recursive elimination, and random forest algorithms. The overlapped genes were obtained as potential biomarkers for further analysis, investigating and validating the potential biomarkers' possible functions, regulatory mechanisms, diagnostic value, and expression levels. And finally studied the differences between groups in level of immune cell infiltration and explored the relationship between potential biomarkers and immunity. A total of 234 overlapped genes in DEGs and key modules are used as key genes for subsequent analysis. After taking the intersection of the key genes obtained by 3 algorithms, we got 4 potential biomarkers (ARID2, CYSTM1, DDIT3, and RNASE1) with high diagnostic values. Finally, further immune infiltration analysis showed differences in various immune cells in the SLE and healthy control samples. ARID2, CYSTM1, DDIT3, and RNASE1 can affect the immune function of SLE patients. ARID2, CYSTM1, DDIT3, and RNASE1 could be used as immune-related potential biomarkers and therapeutic or diagnostic targets for further research.
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Affiliation(s)
- Xiaojian Li
- Guangxi University of Chinese Medicine, Nan Ning, Guangxi, China
| | - Yun Huo
- Guangxi International Zhuang Medical Hospital, Nan Ning, Guangxi, China
| | - Zhenchang Wang
- Guangxi University of Chinese Medicine, Nan Ning, Guangxi, China
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Kong C, Zhu Y, Xie X, Wu J, Qian M. Six potential biomarkers in septic shock: a deep bioinformatics and prospective observational study. Front Immunol 2023; 14:1184700. [PMID: 37359526 PMCID: PMC10285480 DOI: 10.3389/fimmu.2023.1184700] [Citation(s) in RCA: 18] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/12/2023] [Accepted: 05/15/2023] [Indexed: 06/28/2023] Open
Abstract
Background Septic shock occurs when sepsis is related to severe hypotension and leads to a remarkable high number of deaths. The early diagnosis of septic shock is essential to reduce mortality. High-quality biomarkers can be objectively measured and evaluated as indicators to accurately predict disease diagnosis. However, single-gene prediction efficiency is inadequate; therefore, we identified a risk-score model based on gene signature to elevate predictive efficiency. Methods The gene expression profiles of GSE33118 and GSE26440 were downloaded from the Gene Expression Omnibus (GEO) database. These two datasets were merged, and the differentially expressed genes (DEGs) were identified using the limma package in R software. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichments of DEGs were performed. Subsequently, Lasso regression and Boruta feature selection algorithm were combined to identify the hub genes of septic shock. GSE9692 was then subjected to weighted gene co-expression network analysis (WGCNA) to identify the septic shock-related gene modules. Subsequently, the genes within such modules that matched with septic shock-related DEGs were identified as the hub genes of septic shock. To further understand the function and signaling pathways of hub genes, we performed gene set variation analysis (GSVA) and then used the CIBERSORT tool to analyze the immune cell infiltration pattern of diseases. The diagnostic value of hub genes in septic shock was determined using receiver operating characteristic (ROC) analysis and verified using quantitative PCR (qPCR) and Western blotting in our hospital patients with septic shock. Results A total of 975 DEGs in the GSE33118 and GSE26440 databases were obtained, of which 30 DEGs were remarkably upregulated. With the use of Lasso regression and Boruta feature selection algorithm, six hub genes (CD177, CLEC5A, CYSTM1, MCEMP1, MMP8, and RGL4) with expression differences in septic shock were screened as potential diagnostic markers for septic shock among the significant DEGs and were further validated in the GSE9692 dataset. WGCNA was used to identify the co-expression modules and module-trait correlation. Enrichment analysis showed significant enrichment in the reactive oxygen species pathway, hypoxia, phosphatidylinositol 3-kinases (PI3K)/Protein Kinase B (AKT)/mammalian target of rapamycin (mTOR) signaling, nuclear factor-κβ/tumor necrosis factor alpha (NF-κβ/TNF-α), and interleukin-6 (IL-6)/Janus Kinase (JAK)/Signal Transducers and Activators of Transcription 3 (STAT3) signaling pathways. The receiver operating characteristic curve (ROC) of these signature genes was 0.938, 0.914, 0.939, 0.956, 0.932, and 0.914, respectively. In the immune cell infiltration analysis, the infiltration of M0 macrophages, activated mast cells, neutrophils, CD8 T cells, and naive B cells was more significant in the septic shock group. In addition, higher expression levels of CD177, CLEC5A, CYSTM1, MCEMP1, MMP8, and RGL4 messenger RNA (mRNA) were observed in peripheral blood mononuclear cells (PBMCs) isolated from septic shock patients than from healthy donors. Higher expression levels of CD177 and MMP8 proteins were also observed in the PBMCs isolated from septic shock patients than from control participants. Conclusions CD177, CLEC5A, CYSTM1, MCEMP1, MMP8, and RGL4 were identified as hub genes, which were of considerable value in the early diagnosis of septic shock patients. These preliminary findings are of great significance for studying immune cell infiltration in the pathogenesis of septic shock, which should be further validated in clinical studies and basic studies.
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Affiliation(s)
- Chang Kong
- Department of Anesthesiology and Critical Care Medicine, Tianjin Nankai Hospital, Tianjin Medical University, Tianjin, China
| | - Yurun Zhu
- Department of Anesthesia, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, China
| | - Xiaofan Xie
- Department of Anesthesia, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, China
| | - Jiayu Wu
- Department of General Practice, Central Health Center of Yayang Town, Taishun County (Yayang Branch of Medical Community of Taishun County People’s Hospital), Wenzhou, Zhejiang, China
| | - Meizi Qian
- Department of Anesthesia, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, China
- Key Laboratory of Intelligent Treatment and Life Support for Critical Diseases of Zhejiang Province, Wenzhou Medical University, Wenzhou, China
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Ding Q, Liu H, Lin R, Wang Z, Jian S, Zhang M. Genome-wide functional characterization of Canavalia rosea cysteine-rich trans-membrane module (CrCYSTM) genes to reveal their potential protective roles under extreme abiotic stress. PLANT PHYSIOLOGY AND BIOCHEMISTRY : PPB 2023; 200:107786. [PMID: 37257408 DOI: 10.1016/j.plaphy.2023.107786] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/02/2023] [Revised: 05/16/2023] [Accepted: 05/19/2023] [Indexed: 06/02/2023]
Abstract
Cysteine-rich transmembrane module (CYSTM) proteins constitute small molecular protein families and have been identified across eukaryotes, including yeast, humans, and several plant species. Plant CYSTMs play vital roles in growth regulation, development, phytohormone signal transduction, pathogen defense, environmental stress response, and even heavy metal binding and detoxification. Canavalia rosea (Sw.) DC is a perennial halophyte with great semi-arid and saline-alkali tolerance. In this study, the CrCYSTM family including 10 members were identified in the C. rosea genome, with the purpose of clarifying the possible roles of CrCYSTMs in C. rosea plants development and stress resistance. The phylogenetic relationships, exon-intron structure, domain structure, chromosomal localization, and putative cis-acting elements in promoter regions were predicted and analyzed. Transcriptome analysis combined with quantitative reverse transcription PCR showed that different CrCYSTM members exhibited varied expression patterns in different tissues and under different abiotic stress challenges. In addition, several CrCYSTMs were cloned and functionally characterized for their roles in abiotic stress tolerance with yeast expression system. Overall, these findings provide a foundation for functionally characterizing plant CYSTMs to unravel their possible roles in the adaptation of C. rosea to tropical coral reefs. Our results also lay the foundation for further research on the roles of plant CYSTM genes in abiotic stress signaling, especially for heavy metal detoxification.
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Affiliation(s)
- Qianqian Ding
- Guangdong Provincial Key Laboratory of Applied Botany&South China Agricultural Plant Molecular Analysis and Genetic Improvement, South China Botanical Garden, Chinese Academy of Sciences, Guangzhou, 510650, China; University of the Chinese Academy of Sciences, Beijing, 100039, China
| | - Hao Liu
- Guangdong Provincial Key Laboratory of Applied Botany&South China Agricultural Plant Molecular Analysis and Genetic Improvement, South China Botanical Garden, Chinese Academy of Sciences, Guangzhou, 510650, China; University of the Chinese Academy of Sciences, Beijing, 100039, China
| | - Ruoyi Lin
- Guangdong Provincial Key Laboratory of Applied Botany&South China Agricultural Plant Molecular Analysis and Genetic Improvement, South China Botanical Garden, Chinese Academy of Sciences, Guangzhou, 510650, China; University of the Chinese Academy of Sciences, Beijing, 100039, China; Dongguan Research Institute of Forestry/Forest Ecosystem Research Station in City Cluster of the Pearl River Estuary, Dongguan, 523106, China
| | - Zhengfeng Wang
- Guangdong Provincial Key Laboratory of Applied Botany&South China Agricultural Plant Molecular Analysis and Genetic Improvement, South China Botanical Garden, Chinese Academy of Sciences, Guangzhou, 510650, China; Key Laboratory of Vegetation Restoration and Management of Degraded Ecosystems&Carbon Sequestration in Terrestrial Ecosystem, South China Botanical Garden, Chinese Academy of Sciences, Guangzhou, 510650, China
| | - Shuguang Jian
- Guangdong Provincial Key Laboratory of Applied Botany&South China Agricultural Plant Molecular Analysis and Genetic Improvement, South China Botanical Garden, Chinese Academy of Sciences, Guangzhou, 510650, China; Key Laboratory of Vegetation Restoration and Management of Degraded Ecosystems&Carbon Sequestration in Terrestrial Ecosystem, South China Botanical Garden, Chinese Academy of Sciences, Guangzhou, 510650, China
| | - Mei Zhang
- Guangdong Provincial Key Laboratory of Applied Botany&South China Agricultural Plant Molecular Analysis and Genetic Improvement, South China Botanical Garden, Chinese Academy of Sciences, Guangzhou, 510650, China.
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Yin Y, Ren Z, Zhang L, Qin L, Chen L, Liu L, Jia R, Xue K, Liu B, Wang X. In Situ Proteomic Analysis of Herbicide-Resistant Soybean and Hybrid Seeds via Matrix-Assisted Laser Desorption/Ionization-Mass Spectrometry Imaging. JOURNAL OF AGRICULTURAL AND FOOD CHEMISTRY 2023; 71:7140-7151. [PMID: 37098110 DOI: 10.1021/acs.jafc.3c00301] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/11/2023]
Abstract
Transgenic soybean is the commercial crop with the largest cultivation area worldwide. During transgenic soybean cultivation, exogenous genes may be transferred to wild relatives through gene flow, posing unpredictable ecological risks. Accordingly, an environmental risk assessment should focus on fitness changes and underlying mechanisms in hybrids between transgenic and wild soybeans (Glycine soja). Matrix-assisted laser desorption/ionization-mass spectrometry imaging (MALDI-MSI) was used for in situ detection and imaging of protein changes in the seeds of transgenic herbicide-resistant soybean harboring epsps and pat genes, non-transgenic soybean, wild soybean, and their F2 hybrid. Protein data clearly distinguished wild soybeans, while the F2 seeds had protein characteristics of both parents and were distinguished from wild soybean seeds. Using UPLC-Q-TOF-MS, 22 differentially expressed proteins (DEPs) were identified, including 13 specific to wild soybean. Sucrose synthase and stress response-related DEPs were differentially expressed in parental and offspring. Differences in these may underpin the greater adaptability of the latter. MSI revealed DEP distribution in transgenic, wild, and F2 seeds. Identifying DEPs related to fitness may elucidate mechanisms underlying fitness differences among the studied varieties. Our study shows that MALDI-MSI has the potential to become a visual method for transgenic soybean analysis.
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Affiliation(s)
- Yue Yin
- Nanjing Institute of Environmental Sciences, Ministry of Ecology and Environment, Nanjing 210042, China
- Nanjing Agro-Tech Extension and Service Center, Agricultural and Rural Bureau of Nanjing, Nanjing, Jiangsu 210029, China
| | - Zhentao Ren
- College of Life and Environmental Sciences, Minzu University of China, Beijing 100081, China
| | - Li Zhang
- Nanjing Institute of Environmental Sciences, Ministry of Ecology and Environment, Nanjing 210042, China
| | - Liang Qin
- College of Life and Environmental Sciences, Minzu University of China, Beijing 100081, China
- Key Laboratory of Mass Spectrometry Imaging and Metabolomics (State Ethnic Affairs Commission), Centre for Imaging & Systems Biology, Minzu University of China, Beijing 100081, China
| | - Lulu Chen
- College of Life and Environmental Sciences, Minzu University of China, Beijing 100081, China
- Key Laboratory of Mass Spectrometry Imaging and Metabolomics (State Ethnic Affairs Commission), Centre for Imaging & Systems Biology, Minzu University of China, Beijing 100081, China
| | - Laipan Liu
- Nanjing Institute of Environmental Sciences, Ministry of Ecology and Environment, Nanjing 210042, China
| | - Ruizong Jia
- Hainan Key Laboratory for Biosafety Monitoring and Molecular Breeding in Off-Season Reproduction Regions, Sanya 572025, China
| | - Kun Xue
- College of Life and Environmental Sciences, Minzu University of China, Beijing 100081, China
| | - Biao Liu
- Nanjing Institute of Environmental Sciences, Ministry of Ecology and Environment, Nanjing 210042, China
| | - Xiaodong Wang
- College of Life and Environmental Sciences, Minzu University of China, Beijing 100081, China
- Key Laboratory of Mass Spectrometry Imaging and Metabolomics (State Ethnic Affairs Commission), Centre for Imaging & Systems Biology, Minzu University of China, Beijing 100081, China
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Zvonarev A, Ledova L, Ryazanova L, Valiakhmetov A, Farofonova V, Kulakovskaya T. The YBR056W-A and Its Ortholog YDR034W-B of S. cerevisiae Belonging to CYSTM Family Participate in Manganese Stress Overcoming. Genes (Basel) 2023; 14:genes14050987. [PMID: 37239347 DOI: 10.3390/genes14050987] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/23/2023] [Revised: 04/24/2023] [Accepted: 04/25/2023] [Indexed: 05/28/2023] Open
Abstract
The CYSTM (cysteine-rich transmembrane module) protein family comprises small molecular cysteine-rich tail-anchored membrane proteins found in many eukaryotes. The Saccharomyces cerevisiae strains carrying the CYSTM genes YDRO34W-B and YBR056W-A (MNC1) fused with GFP were used to test the expression of these genes under different stresses. The YBR056W-A (MNC1) and YDR034W-B genes are expressed under stress conditions caused by the toxic concentrations of heavy metal ions, such as manganese, cobalt, nickel, zinc, cuprum, and 2.4-dinitrophenol uncoupler. The expression level of YDR034W-B was higher than that of YBR056W-A under alkali and cadmium stresses. The Ydr034w-b-GFP and Ybr056w-a-GFP proteins differ in the cellular localization: Ydr034w-b-GFP was mainly observed in the plasma membrane and vacuolar membrane, while Ybr056w-a-GFP was observed in the cytoplasm, probably in intracellular membranes. The null-mutants in both genes demonstrated decreased cell concentration and lytic phenotype when cultivated in the presence of excess manganese. This allows for speculations about the involvement of Mnc1 and Ydr034w-b proteins in manganese stress overcoming.
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Affiliation(s)
- Anton Zvonarev
- Federal Research Center "Pushchino Scientific Center for Biological Research of the Russian Academy of Sciences", Skryabin Institute of Biochemistry and Physiology of Microorganisms, 142290 Pushchino, Russia
| | - Larisa Ledova
- Federal Research Center "Pushchino Scientific Center for Biological Research of the Russian Academy of Sciences", Skryabin Institute of Biochemistry and Physiology of Microorganisms, 142290 Pushchino, Russia
| | - Lubov Ryazanova
- Federal Research Center "Pushchino Scientific Center for Biological Research of the Russian Academy of Sciences", Skryabin Institute of Biochemistry and Physiology of Microorganisms, 142290 Pushchino, Russia
| | - Airat Valiakhmetov
- Federal Research Center "Pushchino Scientific Center for Biological Research of the Russian Academy of Sciences", Skryabin Institute of Biochemistry and Physiology of Microorganisms, 142290 Pushchino, Russia
| | - Vasilina Farofonova
- Federal Research Center "Pushchino Scientific Center for Biological Research of the Russian Academy of Sciences", Institute for Biological Instrumentation of the Russian Academy of Sciences, 142290 Pushchino, Russia
| | - Tatiana Kulakovskaya
- Federal Research Center "Pushchino Scientific Center for Biological Research of the Russian Academy of Sciences", Skryabin Institute of Biochemistry and Physiology of Microorganisms, 142290 Pushchino, Russia
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15
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Szabó Z, Balogh M, Domonkos Á, Csányi M, Kaló P, Kiss GB. The bs5 allele of the susceptibility gene Bs5 of pepper (Capsicum annuum L.) encoding a natural deletion variant of a CYSTM protein conditions resistance to bacterial spot disease caused by Xanthomonas species. TAG. THEORETICAL AND APPLIED GENETICS. THEORETISCHE UND ANGEWANDTE GENETIK 2023; 136:64. [PMID: 36943531 PMCID: PMC10030403 DOI: 10.1007/s00122-023-04340-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 09/19/2022] [Accepted: 03/02/2023] [Indexed: 05/09/2023]
Abstract
KEY MESSAGE The bs5 resistance gene against bacterial spot was identified by map-based cloning. The recessive bs5 gene of pepper (Capsicum annuum L.) conditions a non-hypersensitive resistance trait, characterized by a slightly swollen, pale green, photosynthetically active leaf tissue, following Xanthomonas euvesicatoria infection. The isolation of the bs5 gene by map-based cloning revealed that the bs5 protein was shorter by 2 amino acids as compared to the wild type Bs5 protein. The natural 2 amino acid deletion occurred in the cysteine-rich transmembrane domain of the tail-anchored (TA) protein, Ca_CYSTM1. The protein products of the wild type Bs5 and mutant bs5 genes were shown to be located in the cell membrane, indicating an unknown function in this membrane compartment. Successful infection of the Bs5 pepper lines was abolished by the 6 bp deletion in the TM encoding domain of the Ca_CYSTM1 gene in bs5 homozygotes, suggesting, that the resulting resistance might be explained by the lack of entry of the Xanthomonas specific effector molecules into the plant cells.
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Affiliation(s)
- Zoltán Szabó
- Institute of Genetics and Biotechnology, Hungarian University of Agriculture and Life Sciences, Szent-Györgyi A. U. 4., 2100, Gödöllő, Hungary.
| | - Márta Balogh
- Institute of Genetics and Biotechnology, Hungarian University of Agriculture and Life Sciences, Szent-Györgyi A. U. 4., 2100, Gödöllő, Hungary
| | - Ágota Domonkos
- Institute of Genetics and Biotechnology, Hungarian University of Agriculture and Life Sciences, Szent-Györgyi A. U. 4., 2100, Gödöllő, Hungary
| | - Márta Csányi
- Institute of Genetics and Biotechnology, Hungarian University of Agriculture and Life Sciences, Szent-Györgyi A. U. 4., 2100, Gödöllő, Hungary
| | - Péter Kaló
- Institute of Genetics and Biotechnology, Hungarian University of Agriculture and Life Sciences, Szent-Györgyi A. U. 4., 2100, Gödöllő, Hungary
- Institute of Plant Biology, Biological Research Center, Eötvös Lóránd Research Network, Szeged, Hungary
| | - György B Kiss
- Institute of Genetics and Biotechnology, Hungarian University of Agriculture and Life Sciences, Szent-Györgyi A. U. 4., 2100, Gödöllő, Hungary
- AMBIS Biotechnology Research and Development Ltd., Budapest, Hungary
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16
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Secretomic Insights into the Pathophysiology of Venturia inaequalis: The Causative Agent of Scab, a Devastating Apple Tree Disease. Pathogens 2022; 12:pathogens12010066. [PMID: 36678413 PMCID: PMC9860705 DOI: 10.3390/pathogens12010066] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/22/2022] [Revised: 12/10/2022] [Accepted: 12/27/2022] [Indexed: 01/04/2023] Open
Abstract
Apple scab, caused by Venturia inaequalis, is one of the world's most commercially significant apple diseases. The fungi have a catastrophic impact on apples, causing considerable losses in fruit quality and productivity in many apple-growing locations despite numerous control agents. Fungi secrete various effectors and other virulence-associated proteins that suppress or alter the host's immune system, and several such proteins were discovered in this work. Using state-of-the-art bioinformatics techniques, we examined the V. inaequalis reference genome (EU-B04), resulting in the identification of 647 secreted proteins, of which 328 were classified as small secreted proteins (SSPs), with 76.52% of SSPs identified as anticipated effector proteins. The more prevalent CAZyme proteins were the enzymes engaged in plant cell wall disintegration (targeting pectin and xylanase), adhesion and penetration (Cutinases/acetyl xylan esterase), and reactive oxygen species formation (multicopper oxidases). Furthermore, members of the S9 prolyl oligopeptidase family were identified as the most abundant host defense peptidases. Several known effector proteins were discovered to be expressed during the V. inaequalis infection process on apple leaves. The present study provides valuable data that can be used to develop new strategies for controlling apple scab.
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Nikonorova IA, Wang J, Cope AL, Tilton PE, Power KM, Walsh JD, Akella JS, Krauchunas AR, Shah P, Barr MM. Isolation, profiling, and tracking of extracellular vesicle cargo in Caenorhabditis elegans. Curr Biol 2022; 32:1924-1936.e6. [PMID: 35334227 PMCID: PMC9491618 DOI: 10.1016/j.cub.2022.03.005] [Citation(s) in RCA: 26] [Impact Index Per Article: 8.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/24/2021] [Revised: 01/26/2022] [Accepted: 03/01/2022] [Indexed: 01/04/2023]
Abstract
Extracellular vesicles (EVs) may mediate intercellular communication by carrying protein and RNA cargo. The composition, biology, and roles of EVs in physiology and pathology have been primarily studied in the context of biofluids and in cultured mammalian cells. The experimental tractability of C. elegans makes for a powerful in vivo animal system to identify and study EV cargo from its cellular source. We developed an innovative method to label, track, and profile EVs using genetically encoded, fluorescent-tagged EV cargo and conducted a large-scale isolation and proteomic profiling. Nucleic acid binding proteins (∼200) are overrepresented in our dataset. By integrating our EV proteomic dataset with single-cell transcriptomic data, we identified and validated ciliary EV cargo: CD9-like tetraspanin (TSP-6), ectonucleotide pyrophosphatase/phosphodiesterase (ENPP-1), minichromosome maintenance protein (MCM-3), and double-stranded RNA transporter SID-2. C. elegans EVs also harbor RNA, suggesting that EVs may play a role in extracellular RNA-based communication.
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Affiliation(s)
- Inna A Nikonorova
- Rutgers, The State University of New Jersey, Department of Genetics and Human Genetics Institute of New Jersey Piscataway, 145 Bevier Road, Piscataway, NJ 08854, USA.
| | - Juan Wang
- Rutgers, The State University of New Jersey, Department of Genetics and Human Genetics Institute of New Jersey Piscataway, 145 Bevier Road, Piscataway, NJ 08854, USA
| | - Alexander L Cope
- Rutgers, The State University of New Jersey, Department of Genetics and Human Genetics Institute of New Jersey Piscataway, 145 Bevier Road, Piscataway, NJ 08854, USA
| | - Peter E Tilton
- Rutgers, The State University of New Jersey, Department of Genetics and Human Genetics Institute of New Jersey Piscataway, 145 Bevier Road, Piscataway, NJ 08854, USA
| | - Kaiden M Power
- Rutgers, The State University of New Jersey, Department of Genetics and Human Genetics Institute of New Jersey Piscataway, 145 Bevier Road, Piscataway, NJ 08854, USA
| | - Jonathon D Walsh
- Rutgers, The State University of New Jersey, Department of Genetics and Human Genetics Institute of New Jersey Piscataway, 145 Bevier Road, Piscataway, NJ 08854, USA
| | - Jyothi S Akella
- Rutgers, The State University of New Jersey, Department of Genetics and Human Genetics Institute of New Jersey Piscataway, 145 Bevier Road, Piscataway, NJ 08854, USA
| | - Amber R Krauchunas
- University of Delaware, Department of Biological Sciences, 105 The Green, Newark, DE 19716, USA
| | - Premal Shah
- Rutgers, The State University of New Jersey, Department of Genetics and Human Genetics Institute of New Jersey Piscataway, 145 Bevier Road, Piscataway, NJ 08854, USA
| | - Maureen M Barr
- Rutgers, The State University of New Jersey, Department of Genetics and Human Genetics Institute of New Jersey Piscataway, 145 Bevier Road, Piscataway, NJ 08854, USA.
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Ou SHI, Xiu J, Nagasaka M, Xia B, Zhang SS, Zhang Q, Swensen JJ, Spetzler D, Korn WM, Zhu VW, Liu SV. Identification of Novel CDH1-NRG2α and F11R-NRG2α Fusions in NSCLC Plus Additional Novel NRG2α Fusions in Other Solid Tumors by Whole Transcriptome Sequencing. JTO Clin Res Rep 2021; 2:100132. [PMID: 34589990 PMCID: PMC8474258 DOI: 10.1016/j.jtocrr.2020.100132] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/04/2022] Open
Abstract
Introduction A novel CD74-NRG2α fusion has recently been identified in NSCLC. We surveyed a large tumor database comprehensively profiled by whole transcriptome sequencing to investigate the incidence and distribution of NRG2 fusions among various solid tumors. Methods Tumor samples submitted for clinical molecular profiling at Caris Life Sciences (Phoenix, AZ) that underwent whole transcriptome sequencing (NovaSeq [Illumina, San Diego, CA]) were retrospectively analyzed for NRG2 fusion events. All NRG2 fusions with sufficient reads (> three junctional reads spanning ≥ seven nucleotides) were identified for manual review, characterization of fusion class, intact functional domains, EGF-like domain isoforms, breakpoints, frame retention, and co-occurring alterations by next-generation sequencing (NextSeq [Illumina, San Diego, CA], 592 genes). Results Seven inframe functional (containing the intact EGF-like domain) NRG2α fusions were identified, namely, the following: (1) NSCLC (two of 9600, 0.02%: CDH1-NRG2α [C11, N2], F11R-NRG2α [F1, N4]); (2) endometrial (two of 3060, 0.065%: CPM-NRG2α [C2, N2], OPA3-NRG2α [O1, N2]); (3) ovarian (one of 5030, 0.02%: SPON1-NRG2α [S6, N2]); (4) prostate (one of 1600, 0.063%: PLPP1-NRG2α [P1, N2]); and (5) carcinoma of unknown origin (one of 1400, 0.07%: CYSTM1-NRG2α [C2, N2]). No NRG2β fusions were identified. Both NSCLC samples contained the reciprocal NRG2 fusions (NRG2-CDH1, NRG2-F11R). Almost all inframe NRG2α fusions have no (N = 6, 85.7%) or low (N = 1, 14.3%) programmed death-ligand 1 expression. No additional known driver mutations were identified in these seven NRG2α fusion-positive tumor samples. Conclusions Similar to NRG1 fusions, NRG2α fusions are recurrent and rare ligand-fusions in NSCLC and other multiple tumor types, especially gynecologic malignancies.
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Affiliation(s)
- Sai-Hong Ignatius Ou
- Department of Medicine, University of California Irvine School of Medicine, Orange, California.,Chao Family Comprehensive Cancer Center, Orange, California
| | | | - Misako Nagasaka
- Department of Medical Oncology, Karmanos Cancer Institute, Wayne State University School of Medicine, Detroit, Michigan.,Division of Neurology, Department of Internal Medicine, St. Marianna University School of Medicine, Kawasaki, Japan
| | - Bing Xia
- Division of Oncology, Department of Medicine, USC Norris Comprehensive Cancer Center, University of Southern California Keck School of Medicine, Los Angeles, California
| | - Shannon S Zhang
- Department of Medicine, University of California Irvine School of Medicine, Orange, California
| | | | | | | | | | - Viola W Zhu
- Department of Medicine, University of California Irvine School of Medicine, Orange, California.,Chao Family Comprehensive Cancer Center, Orange, California
| | - Stephen V Liu
- Division of Hematology-Oncology, Department of Medicine, Georgetown Lombardi Comprehensive Cancer Center, Georgetown University School of Medicine, Washington, District of Columbia
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Pereira Mendes M, Hickman R, Van Verk MC, Nieuwendijk NM, Reinstädler A, Panstruga R, Pieterse CMJ, Van Wees SCM. A family of pathogen-induced cysteine-rich transmembrane proteins is involved in plant disease resistance. PLANTA 2021; 253:102. [PMID: 33856567 PMCID: PMC8049917 DOI: 10.1007/s00425-021-03606-3] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 09/14/2020] [Accepted: 03/24/2021] [Indexed: 06/01/2023]
Abstract
Overexpression of pathogen-induced cysteine-rich transmembrane proteins (PCMs) in Arabidopsis thaliana enhances resistance against biotrophic pathogens and stimulates hypocotyl growth, suggesting a potential role for PCMs in connecting both biological processes. Plants possess a sophisticated immune system to protect themselves against pathogen attack. The defense hormone salicylic acid (SA) is an important player in the plant immune gene regulatory network. Using RNA-seq time series data of Arabidopsis thaliana leaves treated with SA, we identified a largely uncharacterized SA-responsive gene family of eight members that are all activated in response to various pathogens or their immune elicitors and encode small proteins with cysteine-rich transmembrane domains. Based on their nucleotide similarity and chromosomal position, the designated Pathogen-induced Cysteine-rich transMembrane protein (PCM) genes were subdivided into three subgroups consisting of PCM1-3 (subgroup I), PCM4-6 (subgroup II), and PCM7-8 (subgroup III). Of the PCM genes, only PCM4 (also known as PCC1) has previously been implicated in plant immunity. Transient expression assays in Nicotiana benthamiana indicated that most PCM proteins localize to the plasma membrane. Ectopic overexpression of the PCMs in Arabidopsis thaliana resulted in all eight cases in enhanced resistance against the biotrophic oomycete pathogen Hyaloperonospora arabidopsidis Noco2. Additionally, overexpression of PCM subgroup I genes conferred enhanced resistance to the hemi-biotrophic bacterial pathogen Pseudomonas syringae pv. tomato DC3000. The PCM-overexpression lines were found to be also affected in the expression of genes related to light signaling and development, and accordingly, PCM-overexpressing seedlings displayed elongated hypocotyl growth. These results point to a function of PCMs in both disease resistance and photomorphogenesis, connecting both biological processes, possibly via effects on membrane structure or activity of interacting proteins at the plasma membrane.
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Affiliation(s)
- Marciel Pereira Mendes
- Plant-Microbe Interactions, Department of Biology, Science4Life, Utrecht University, 800.56, 3508 TB, Utrecht, The Netherlands
| | - Richard Hickman
- Plant-Microbe Interactions, Department of Biology, Science4Life, Utrecht University, 800.56, 3508 TB, Utrecht, The Netherlands
| | - Marcel C Van Verk
- Plant-Microbe Interactions, Department of Biology, Science4Life, Utrecht University, 800.56, 3508 TB, Utrecht, The Netherlands
- Bioinformatics, Department of Biology, Science4Life, Utrecht University, 800.56, 3508 TB, Utrecht, The Netherlands
| | - Nicole M Nieuwendijk
- Plant-Microbe Interactions, Department of Biology, Science4Life, Utrecht University, 800.56, 3508 TB, Utrecht, The Netherlands
| | - Anja Reinstädler
- Institute for Biology I, Unit of Plant Molecular Cell Biology, RWTH Aachen University, Worringerweg 1, 52056, Aachen, Germany
| | - Ralph Panstruga
- Institute for Biology I, Unit of Plant Molecular Cell Biology, RWTH Aachen University, Worringerweg 1, 52056, Aachen, Germany
| | - Corné M J Pieterse
- Plant-Microbe Interactions, Department of Biology, Science4Life, Utrecht University, 800.56, 3508 TB, Utrecht, The Netherlands
| | - Saskia C M Van Wees
- Plant-Microbe Interactions, Department of Biology, Science4Life, Utrecht University, 800.56, 3508 TB, Utrecht, The Netherlands.
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Ghaemi R, Pourjam E, Safaie N, Verstraeten B, Mahmoudi SB, Mehrabi R, De Meyer T, Kyndt T. Molecular insights into the compatible and incompatible interactions between sugar beet and the beet cyst nematode. BMC PLANT BIOLOGY 2020; 20:483. [PMID: 33092522 PMCID: PMC7583174 DOI: 10.1186/s12870-020-02706-8] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/07/2019] [Accepted: 10/18/2020] [Indexed: 05/23/2023]
Abstract
BACKGROUND Sugar beet (Beta vulgaris subsp. vulgaris) is an economically important crop that provides nearly one third of the global sugar production. The beet cyst nematode (BCN), Heterodera schachtii, causes major yield losses in sugar beet and other crops worldwide. The most effective and economic approach to control this nematode is growing tolerant or resistant cultivars. To identify candidate genes involved in susceptibility and resistance, the transcriptome of sugar beet and BCN in compatible and incompatible interactions at two time points was studied using mRNA-seq. RESULTS In the susceptible cultivar, most defense-related genes were induced at 4 dai while suppressed at 10 dai but in the resistant cultivar Nemakill, induction of genes involved in the plant defense response was observed at both time points. In the compatible interaction, alterations in phytohormone-related genes were detected. The effect of exogenous application of Methyl Jasmonate and ET-generator ethephon on susceptible plants was therefore investigated and the results revealed significant reduction in plant susceptibility. Genes putatively involved in the resistance of Nemakill were identified, such as genes involved in phenylpropanoid pathway and genes encoding CYSTM domain-containing proteins, F-box proteins, chitinase, galactono-1,4-lactone dehydrogenase and CASP-like protein. Also, the transcriptome of the BCN was analyzed in infected root samples and several novel potential nematode effector genes were found. CONCLUSIONS Our data provides detailed insights into the plant and nematode transcriptional changes occurring during compatible and incompatible interactions between sugar beet and BCN. Many important genes playing potential roles in susceptibility or resistance of sugar beet against BCN, as well as some BCN effectors with a potential role as avr proteins were identified. In addition, our findings indicate the effective role of jasmonate and ethylene in enhancing sugar beet defense response against BCN. This research provides new molecular insights into the plant-nematode interactions that can be used to design novel management strategies against BCN.
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Affiliation(s)
- Razieh Ghaemi
- Department of Plant Pathology, Faculty of Agriculture, Tarbiat Modares University, Tehran, Iran
| | - Ebrahim Pourjam
- Department of Plant Pathology, Faculty of Agriculture, Tarbiat Modares University, Tehran, Iran.
| | - Naser Safaie
- Department of Plant Pathology, Faculty of Agriculture, Tarbiat Modares University, Tehran, Iran
| | - Bruno Verstraeten
- Department of Biotechnology, Ghent University, Coupure Links 653, B-9000, Ghent, Belgium
| | - Seyed Bagher Mahmoudi
- Sugar Beet Seed Institute, Agricultural Research, Education and Extension Organization (AREEO), Karaj, Iran
| | - Rahim Mehrabi
- Department of Biotechnology, College of Agriculture, Isfahan University of Technology, P.O. Box 8415683111, Isfahan, Iran
| | - Tim De Meyer
- Department of Data Analysis and Mathematical Modelling, Ghent University, Coupure Links 653, B-9000, Ghent, Belgium
| | - Tina Kyndt
- Department of Biotechnology, Ghent University, Coupure Links 653, B-9000, Ghent, Belgium.
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21
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Crucial transcripts predict response to initial immunoglobulin treatment in acute Kawasaki disease. Sci Rep 2020; 10:17860. [PMID: 33082496 PMCID: PMC7575539 DOI: 10.1038/s41598-020-75039-z] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/29/2020] [Accepted: 10/08/2020] [Indexed: 02/07/2023] Open
Abstract
Although intravenous immunoglobulin (IVIG) can effectively treat Kawasaki disease (KD), 10–20% of KD patients show no beneficial clinical response. Developing reliable criteria to discriminate non-responders is important for early planning of appropriate regimens. To predict the non-responders before IVIG treatment, gene expression dataset of 110 responders and 61 non-responders was obtained from Gene Expression Omnibus. After weighted gene co-expression network analysis, we found that modules positively correlated with the non-responders were mainly associated with myeloid cell activation. Transcripts up-regulated in the non-responders, IL1R2, GK, HK3, C5orf32, CXCL16, NAMPT and EMILIN2, were proven to play key roles via interaction with other transcripts in co-expression network. The crucial transcripts may affect the clinical response to IVIG treatment in acute KD. And these transcripts may serve as biomarkers and therapeutic targets for precise diagnosis and treatment of the non-responders.
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Long G, Yang C. A six‑gene support vector machine classifier contributes to the diagnosis of pediatric septic shock. Mol Med Rep 2020; 21:1561-1571. [PMID: 32016447 PMCID: PMC7003034 DOI: 10.3892/mmr.2020.10959] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/21/2019] [Accepted: 11/12/2019] [Indexed: 11/06/2022] Open
Abstract
Septic shock is induced by an uncontrolled inflammatory immune response to pathogens and the survival rate of patients with pediatric septic shock (PSS) is particularly low, with a mortality rate of 25‑50%. The present study explored the mechanisms of PSS using four microarray datasets (GSE26378, GSE26440, GSE13904 and GSE4607) that were obtained from the Gene Expression Omnibus database. Based on the MetaDE package, the consistently differentially expressed genes (DEGs) in the four datasets were screened. Using the WGCNA package, the disease‑associated modules and genes were identified. Subsequently, the optimal feature genes were further selected using the caret package. Finally, a support vector machine (SVM) classifier based on the optimal feature genes was built using the e1071 package. Initially, there were 2,699 consistent DEGs across the four datasets. From the 10 significantly stable modules across the datasets, four stable modules (including the magenta, purple, turquoise and yellow modules), in which the consistent DEGs were significantly enriched (P<0.05), were further screened. Subsequently, six optimal feature genes (including cysteine rich transmembrane module containing 1, S100 calcium binding protein A9, solute carrier family 2 member 14, stomatin, uridine phosphorylase 1 and utrophin) were selected from the genes in the four stable modules. Additionally, an effective SVM classifier was constructed based on the six optimal genes. The SVM classifier based on the six optimal genes has the potential to be applied for PSS diagnosis. This may improve the accuracy of early PSS diagnosis and suggest possible molecular targets for interventions.
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Affiliation(s)
- Guoli Long
- Department of The Intensive Care Unit, Eastern Hospital, Sichuan Academy of Medical Sciences and Sichuan Provincial People's Hospital, Chengdu, Sichuan 610101, P.R. China
| | - Chen Yang
- Department of The Intensive Care Unit, Eastern Hospital, Sichuan Academy of Medical Sciences and Sichuan Provincial People's Hospital, Chengdu, Sichuan 610101, P.R. China
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23
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Joshi JR, Singh V, Friedman H. Arabidopsis cysteine-rich trans-membrane module (CYSTM) small proteins play a protective role mainly against heat and UV stresses. FUNCTIONAL PLANT BIOLOGY : FPB 2020; 47:195-202. [PMID: 32007127 DOI: 10.1071/fp19236] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/22/2019] [Accepted: 10/15/2019] [Indexed: 06/10/2023]
Abstract
The genomes of Arabidopsis and other plants contain cysteine-rich small protein of unknown function, harbouring a transmembrane module (CYSTM proteins). In this work we show that the transcript of one gene (At1g05340) encoding a CYSTM protein is induced mainly by heat and to a lesser extent by UV, but less by NaCl or sorbitol. A functional analysis of At1g05340 and its paralog At2g32210 using T-DNA insertional mutants revealed a decrease in seedlings root length, and a lower PSII efficiency in mature plant, due to heat stress and to a lesser extent due to UV stress, in comparison to the effect on wild-type plants. The sensitivity of these mutants to salt or osmotic stresses did not differ from wild type response, indicating a specific function for these genes in heat and UV. Heat and UV increased reactive oxygen species levels in wild type; however, the levels were higher in the mutant line than in wild type due to heat treatment, but was similar in the mutant lines and wild type due to UV stress. Taken together, our results suggest that these small cysteine-rich proteins are necessary for thermotolerance and protection from UV exposure. The proteins encoded by these genes most likely, act in heat stress by reducing reactive oxygen species level by yet unknown mechanism.
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Affiliation(s)
- Janak Raj Joshi
- Department of Postharvest Science of Fresh Produce, Agricultural Research Organisation (ARO), The Volcani Centre, Bet Dagan, Israel; and Robert H. Smith Institute of Plant Sciences and Genetics in Agriculture, The Kennedy-Leigh Centre for Horticultural Research, Faculty of Agriculture, Food and Environmental Quality Sciences, Hebrew University of Jerusalem, Rehovot, Israel
| | - Vikram Singh
- Department of Postharvest Science of Fresh Produce, Agricultural Research Organisation (ARO), The Volcani Centre, Bet Dagan, Israel
| | - Haya Friedman
- Department of Postharvest Science of Fresh Produce, Agricultural Research Organisation (ARO), The Volcani Centre, Bet Dagan, Israel; and Corresponding author.
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24
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Purfield DC, Evans RD, Carthy TR, Berry DP. Genomic Regions Associated With Gestation Length Detected Using Whole-Genome Sequence Data Differ Between Dairy and Beef Cattle. Front Genet 2019; 10:1068. [PMID: 31749838 PMCID: PMC6848454 DOI: 10.3389/fgene.2019.01068] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/24/2019] [Accepted: 10/04/2019] [Indexed: 12/17/2022] Open
Abstract
While many association studies exist that have attempted to relate genomic markers to phenotypic performance in cattle, very few have considered gestation length as a phenotype, and of those that did, none used whole genome sequence data from multiple breeds. The objective of the present study was therefore to relate imputed whole genome sequence data to estimated breeding values for gestation length using 22,566 sires (representing 2,262,706 progeny) of multiple breeds [Angus (AA), Charolais (CH), Holstein-Friesian (HF), and Limousin (LM)]. The associations were undertaken within breed using linear mixed models that accounted for genomic relatedness among sires; a separate association analysis was undertaken with all breeds analysed together but with breed included as a fixed effect in the model. Furthermore, the genome was divided into 500 kb segments and whether or not segments harboured a single nucleotide polymorphism (SNP) with a P ≤ 1 × 10-4 common to different combinations of breeds was determined. Putative quantitative trait loci (QTL) regions associated with gestation length were detected in all breeds; significant associations with gestation length were only detected in the HF population and in the across-breed analysis of all 22,566 sires. Twenty-five SNPs were significantly associated (P ≤ 5 × 10-8) with gestation length in the HF population. Of the 25 significant SNPs, 18 were located within three QTLs on Bos taurus autosome number (BTA) 18, six were in two QTL on BTA19, and one was located within a QTL on BTA7. The strongest association was rs381577268, a downstream variant of ZNF613 located within a QTL spanning from 58.06 to 58.19 Mb on BTA18; it accounted for 1.37% of the genetic variance in gestation length. Overall there were 11 HF animals within the edited dataset that were homozygous for the T allele at rs381577268 and these had a 3.3 day longer (P < 0.0001) estimated breeding value (EBV) for gestation length than the heterozygous animals and a 4.7 day longer (P < 0.0001) EBV for gestation length than the homozygous CC animals. The majority of the 500 kb windows harboring a SNP with a P ≤ 1 × 10-4 were unique to a single breed and no window was shared among all four breeds for gestation length, suggesting any QTLs identified are breed-specific associations.
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Affiliation(s)
- Deirdre C Purfield
- Animal & Grassland Research and Innovation Centre, Teagasc, Cork, Ireland
| | | | - Tara R Carthy
- Animal & Grassland Research and Innovation Centre, Teagasc, Cork, Ireland
| | - Donagh P Berry
- Animal & Grassland Research and Innovation Centre, Teagasc, Cork, Ireland
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25
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Regulation of conidiation and antagonistic properties of the soil-borne plant beneficial fungus Trichoderma virens by a novel proline-, glycine-, tyrosine-rich protein and a GPI-anchored cell wall protein. Curr Genet 2019; 65:953-964. [DOI: 10.1007/s00294-019-00948-0] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/14/2018] [Revised: 02/13/2019] [Accepted: 02/26/2019] [Indexed: 11/25/2022]
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26
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Xu Y, Yu Z, Zhang S, Wu C, Yang G, Yan K, Zheng C, Huang J. CYSTM3 negatively regulates salt stress tolerance in Arabidopsis. PLANT MOLECULAR BIOLOGY 2019; 99:395-406. [PMID: 30701352 DOI: 10.1007/s11103-019-00825-x] [Citation(s) in RCA: 27] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/27/2018] [Accepted: 01/17/2019] [Indexed: 06/09/2023]
Abstract
CYSTM3, a small mitochondrial protein, acts as a negative regulator in salt stress response by preventing Na+ efflux and disturbing reactive oxygen species (ROS) homeostasis in Arabidopsis. Cysteine-rich transmembrane module (CYSTM) is a not well characterized small peptide family in plants. In this study, we identified a novel mitochondrion-localized CYSTM member CYSTM3 from Arabidopsis, which was ubiquitously expressed in different tissues and dramatically induced by salt stress. Transgenic plants overexpressing CYSTM3 (OE) displayed hypersensitivity to salt stress compared with wild type (WT) plants, whereas a knockout mutant cystm3 was more tolerant to high salinity than WT. Moreover, OE lines accumulated higher contents of Na+ and ROS than WT and cystm3 upon exposure to high salinity. Further analysis revealed that CYSTM3 could deter root Na+ efflux and inhibit the activities of a range of ROS scavenging enzymes in Arabidopsis. In addition, the transcripts of nuclear salt stress-responsive genes were over-activated in cystm3 than those in WT and OE lines. Taken together, Arabidopsis CYSTM3 acts as a negative regulator in salt stress tolerance.
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Affiliation(s)
- Yang Xu
- State Key Laboratory of Crop Biology, College of Life Sciences, Shandong Agricultural University, Tai'an, 271018, Shandong, People's Republic of China
| | - Zipeng Yu
- State Key Laboratory of Crop Biology, College of Life Sciences, Shandong Agricultural University, Tai'an, 271018, Shandong, People's Republic of China
| | - Shizhong Zhang
- State Key Laboratory of Crop Biology, College of Life Sciences, Shandong Agricultural University, Tai'an, 271018, Shandong, People's Republic of China
| | - Changai Wu
- State Key Laboratory of Crop Biology, College of Life Sciences, Shandong Agricultural University, Tai'an, 271018, Shandong, People's Republic of China
| | - Guodong Yang
- State Key Laboratory of Crop Biology, College of Life Sciences, Shandong Agricultural University, Tai'an, 271018, Shandong, People's Republic of China
| | - Kang Yan
- State Key Laboratory of Crop Biology, College of Life Sciences, Shandong Agricultural University, Tai'an, 271018, Shandong, People's Republic of China
| | - Chengchao Zheng
- State Key Laboratory of Crop Biology, College of Life Sciences, Shandong Agricultural University, Tai'an, 271018, Shandong, People's Republic of China.
| | - Jinguang Huang
- State Key Laboratory of Crop Biology, College of Life Sciences, Shandong Agricultural University, Tai'an, 271018, Shandong, People's Republic of China.
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27
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Xu Y, Yu Z, Zhang D, Huang J, Wu C, Yang G, Yan K, Zhang S, Zheng C. CYSTM, a Novel Non-Secreted Cysteine-Rich Peptide Family, Involved in Environmental Stresses in Arabidopsis thaliana. PLANT & CELL PHYSIOLOGY 2018; 59:423-438. [PMID: 29272523 DOI: 10.1093/pcp/pcx202] [Citation(s) in RCA: 35] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/08/2017] [Accepted: 12/12/2017] [Indexed: 05/24/2023]
Abstract
The cysteine-rich transmembrane module (CYSTM) is comprised of a small molecular protein family that is found in a diversity of tail-anchored membrane proteins across eukaryotes. This protein family belongs to novel uncharacteristic non-secreted cysteine-rich peptides (NCRPs) according to their conserved domain and small molecular weight, and genome-wide analysis of this family has not yet been undertaken in plants. In this study, 13 CYSTM genes were identified and located on five chromosomes with diverse densities in Arabidopsis thaliana. The CYSTM proteins could be classified into four subgroups based on domain similarity and phylogenetic topology. Encouragingly, the CYSTM members were expressed in at least one of the tested tissues and dramatically responded to various abiotic stresses, indicating that they played vital roles in diverse developmental processes, especially in stress responses. CYSTM peptides displayed a complex subcellular localization, and most were detected at the plasma membrane and cytoplasm. Of particular interest, CYSTM members could dimerize with themselves or others through the C-terminal domain, and we built a protein-protein interaction map between CYSTM members in Arabidopsis for the first time. In addition, an analysis of CYSTM3 overexpression lines revealed negative regulation for this gene in salt stress responses. We demonstrate that the CYSTM family, as a novel and ubiquitous non-secreted cysteine-rich peptide family, plays a vital role in resistance to abiotic stress. Collectively, our comprehensive analysis of CYSTM members will facilitate future functional studies of the small peptides.
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Affiliation(s)
- Yang Xu
- State Key Laboratory of Crop Biology, College of Life Sciences, Shandong Agricultural University, Tai'an, Shandong 271018, PR China
| | - Zipeng Yu
- State Key Laboratory of Crop Biology, College of Life Sciences, Shandong Agricultural University, Tai'an, Shandong 271018, PR China
| | - Di Zhang
- State Key Laboratory of Crop Biology, College of Life Sciences, Shandong Agricultural University, Tai'an, Shandong 271018, PR China
| | - Jinguang Huang
- State Key Laboratory of Crop Biology, College of Life Sciences, Shandong Agricultural University, Tai'an, Shandong 271018, PR China
| | - Changai Wu
- State Key Laboratory of Crop Biology, College of Life Sciences, Shandong Agricultural University, Tai'an, Shandong 271018, PR China
| | - Guodong Yang
- State Key Laboratory of Crop Biology, College of Life Sciences, Shandong Agricultural University, Tai'an, Shandong 271018, PR China
| | - Kang Yan
- State Key Laboratory of Crop Biology, College of Life Sciences, Shandong Agricultural University, Tai'an, Shandong 271018, PR China
| | - Shizhong Zhang
- State Key Laboratory of Crop Biology, College of Life Sciences, Shandong Agricultural University, Tai'an, Shandong 271018, PR China
| | - Chengchao Zheng
- State Key Laboratory of Crop Biology, College of Life Sciences, Shandong Agricultural University, Tai'an, Shandong 271018, PR China
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Andreeva N, Kulakovskaya E, Zvonarev A, Penin A, Eliseeva I, Teterina A, Lando A, Kulakovskiy IV, Kulakovskaya T. Transcriptome profile of yeast reveals the essential role of PMA2 and uncharacterized gene YBR056W-A (MNC1) in adaptation to toxic manganese concentration. Metallomics 2017; 9:175-182. [PMID: 28128390 DOI: 10.1039/c6mt00210b] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/25/2022]
Abstract
Adaptation of S. cerevisiae to toxic concentrations of manganese provides a physiological model of heavy metal homeostasis. Transcriptome analysis of adapted yeast cells reveals upregulation of cell wall and plasma membrane proteins including membrane transporters. The gene expression in adapted cells differs from that of cells under short-term toxic metal stress. Among the most significantly upregulated genes are PMA2, encoding an ortholog of Pma1 H+-ATPase of the plasma membrane, and YBR056W-A, encoding a putative membrane protein Mnc1 that belongs to the CYSTM family and presumably chelates manganese at the cell surface. We demonstrate that these genes are essential for the adaptation to toxic manganese concentration and propose an extended scheme of manganese detoxification in yeast.
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Affiliation(s)
- N Andreeva
- Skryabin Institute of Biochemistry and Physiology of Microorganisms, Russian Academy of Sciences, pr. Nauki 5, Pushchino, 142290, Russia.
| | - E Kulakovskaya
- Skryabin Institute of Biochemistry and Physiology of Microorganisms, Russian Academy of Sciences, pr. Nauki 5, Pushchino, 142290, Russia.
| | - A Zvonarev
- Skryabin Institute of Biochemistry and Physiology of Microorganisms, Russian Academy of Sciences, pr. Nauki 5, Pushchino, 142290, Russia.
| | - A Penin
- Institute for Information Transmission Problems, Russian Academy of Sciences, Moscow, 127051, Russia and A. N. Belozersky Institute of Physico-Chemical Biology, Lomonosov Moscow State University, Moscow, 119991, Russia and Laboratory of Extreme Biology, Institute of Fundamental Biology and Medicine, Kazan Federal University, Kazan, 420012, Russia and Faculty of Biology, Lomonosov Moscow State University, Moscow, 119991, Russia
| | - I Eliseeva
- Group of Protein Biosynthesis Regulation, Institute of Protein Research, Institutskaya 4, Pushchino, 142290, Russia
| | - A Teterina
- Vavilov Institute of General Genetics, Russian Academy of Sciences, Gubkina 3, Moscow, GSP-1, 119991, Russia
| | - A Lando
- Vavilov Institute of General Genetics, Russian Academy of Sciences, Gubkina 3, Moscow, GSP-1, 119991, Russia and Moscow Institute of Physics and Technology (State University), Institutskiy per. 9, Dolgoprudny, Moscow Region 141700, Russia
| | - I V Kulakovskiy
- Vavilov Institute of General Genetics, Russian Academy of Sciences, Gubkina 3, Moscow, GSP-1, 119991, Russia and Engelhardt Institute of Molecular Biology, Russian Academy of Sciences, Vavilova 32, Moscow, GSP-1, 119991, Russia.
| | - T Kulakovskaya
- Skryabin Institute of Biochemistry and Physiology of Microorganisms, Russian Academy of Sciences, pr. Nauki 5, Pushchino, 142290, Russia.
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29
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Raudabaugh DB, Iturriaga T, Carver A, Mondo S, Pangilinan J, Lipzen A, He G, Amirebrahimi M, Grigoriev IV, Miller AN. Coniella lustricola, a new species from submerged detritus. Mycol Prog 2017. [DOI: 10.1007/s11557-017-1337-6] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
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Lempereur L, Larcombe SD, Durrani Z, Karagenc T, Bilgic HB, Bakirci S, Hacilarlioglu S, Kinnaird J, Thompson J, Weir W, Shiels B. Identification of candidate transmission-blocking antigen genes in Theileria annulata and related vector-borne apicomplexan parasites. BMC Genomics 2017; 18:438. [PMID: 28583072 PMCID: PMC5460460 DOI: 10.1186/s12864-017-3788-1] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/30/2017] [Accepted: 05/11/2017] [Indexed: 01/11/2023] Open
Abstract
Background Vector-borne apicomplexan parasites are a major cause of mortality and morbidity to humans and livestock globally. The most important disease syndromes caused by these parasites are malaria, babesiosis and theileriosis. Strategies for control often target parasite stages in the mammalian host that cause disease, but this can result in reservoir infections that promote pathogen transmission and generate economic loss. Optimal control strategies should protect against clinical disease, block transmission and be applicable across related genera of parasites. We have used bioinformatics and transcriptomics to screen for transmission-blocking candidate antigens in the tick-borne apicomplexan parasite, Theileria annulata. Results A number of candidate antigen genes were identified which encoded amino acid domains that are conserved across vector-borne Apicomplexa (Babesia, Plasmodium and Theileria), including the Pfs48/45 6-cys domain and a novel cysteine-rich domain. Expression profiling confirmed that selected candidate genes are expressed by life cycle stages within infected ticks. Additionally, putative B cell epitopes were identified in the T. annulata gene sequences encoding the 6-cys and cysteine rich domains, in a gene encoding a putative papain-family cysteine peptidase, with similarity to the Plasmodium SERA family, and the gene encoding the T. annulata major merozoite/piroplasm surface antigen, Tams1. Conclusions Candidate genes were identified that encode proteins with similarity to known transmission blocking candidates in related parasites, while one is a novel candidate conserved across vector-borne apicomplexans and has a potential role in the sexual phase of the life cycle. The results indicate that a ‘One Health’ approach could be utilised to develop a transmission-blocking strategy effective against vector-borne apicomplexan parasites of animals and humans. Electronic supplementary material The online version of this article (doi:10.1186/s12864-017-3788-1) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Laetitia Lempereur
- Institute of Biodiversity, Animal Health and Comparative Medicine, College of Medical, Veterinary & Life Sciences, University of Glasgow, 464 Bearsden Road, Glasgow, G61 1QH, Scotland, UK.,Present address: Laboratory of Parasitology and Parasitic Diseases, Department of Infectious and Parasitic Diseases, Faculty of Veterinary Medicine, University of Liège, Liège, Belgium
| | - Stephen D Larcombe
- Institute of Biodiversity, Animal Health and Comparative Medicine, College of Medical, Veterinary & Life Sciences, University of Glasgow, 464 Bearsden Road, Glasgow, G61 1QH, Scotland, UK
| | - Zeeshan Durrani
- Institute of Biodiversity, Animal Health and Comparative Medicine, College of Medical, Veterinary & Life Sciences, University of Glasgow, 464 Bearsden Road, Glasgow, G61 1QH, Scotland, UK.,Present address: School of Veterinary Science, University of Liverpool, Chester High Road, Neston, CH64 7TE,, UK
| | - Tulin Karagenc
- Faculty of Veterinary Medicine, Department of Parasitology, Adnan Menderes University, Batı Kampus, Işıklı, Aydın, Turkey
| | - Huseyin Bilgin Bilgic
- Faculty of Veterinary Medicine, Department of Parasitology, Adnan Menderes University, Batı Kampus, Işıklı, Aydın, Turkey
| | - Serkan Bakirci
- Faculty of Veterinary Medicine, Department of Parasitology, Adnan Menderes University, Batı Kampus, Işıklı, Aydın, Turkey
| | - Selin Hacilarlioglu
- Faculty of Veterinary Medicine, Department of Parasitology, Adnan Menderes University, Batı Kampus, Işıklı, Aydın, Turkey
| | - Jane Kinnaird
- Institute of Biodiversity, Animal Health and Comparative Medicine, College of Medical, Veterinary & Life Sciences, University of Glasgow, 464 Bearsden Road, Glasgow, G61 1QH, Scotland, UK
| | - Joanne Thompson
- Institute of Immunology and Infection Research, School of Biological Sciences, Ashworth Laboratories, University of Edinburgh, The King's Buildings, Edinburgh, EH9 3FL, UK
| | - William Weir
- Institute of Biodiversity, Animal Health and Comparative Medicine, College of Medical, Veterinary & Life Sciences, University of Glasgow, 464 Bearsden Road, Glasgow, G61 1QH, Scotland, UK
| | - Brian Shiels
- Institute of Biodiversity, Animal Health and Comparative Medicine, College of Medical, Veterinary & Life Sciences, University of Glasgow, 464 Bearsden Road, Glasgow, G61 1QH, Scotland, UK.
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Modular transcriptional repertoire and MicroRNA target analyses characterize genomic dysregulation in the thymus of Down syndrome infants. Oncotarget 2016; 7:7497-533. [PMID: 26848775 PMCID: PMC4884935 DOI: 10.18632/oncotarget.7120] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/02/2015] [Accepted: 01/23/2016] [Indexed: 12/25/2022] Open
Abstract
Trisomy 21-driven transcriptional alterations in human thymus were characterized through gene coexpression network (GCN) and miRNA-target analyses. We used whole thymic tissue--obtained at heart surgery from Down syndrome (DS) and karyotipically normal subjects (CT)--and a network-based approach for GCN analysis that allows the identification of modular transcriptional repertoires (communities) and the interactions between all the system's constituents through community detection. Changes in the degree of connections observed for hierarchically important hubs/genes in CT and DS networks corresponded to community changes. Distinct communities of highly interconnected genes were topologically identified in these networks. The role of miRNAs in modulating the expression of highly connected genes in CT and DS was revealed through miRNA-target analysis. Trisomy 21 gene dysregulation in thymus may be depicted as the breakdown and altered reorganization of transcriptional modules. Leading networks acting in normal or disease states were identified. CT networks would depict the "canonical" way of thymus functioning. Conversely, DS networks represent a "non-canonical" way, i.e., thymic tissue adaptation under trisomy 21 genomic dysregulation. This adaptation is probably driven by epigenetic mechanisms acting at chromatin level and through the miRNA control of transcriptional programs involving the networks' high-hierarchy genes.
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32
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Millet EJ, Welcker C, Kruijer W, Negro S, Coupel-Ledru A, Nicolas SD, Laborde J, Bauland C, Praud S, Ranc N, Presterl T, Tuberosa R, Bedo Z, Draye X, Usadel B, Charcosset A, Van Eeuwijk F, Tardieu F. Genome-Wide Analysis of Yield in Europe: Allelic Effects Vary with Drought and Heat Scenarios. PLANT PHYSIOLOGY 2016; 172:749-764. [PMID: 27436830 PMCID: PMC5047082 DOI: 10.1104/pp.16.00621] [Citation(s) in RCA: 58] [Impact Index Per Article: 6.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/22/2016] [Accepted: 07/12/2016] [Indexed: 05/18/2023]
Abstract
Assessing the genetic variability of plant performance under heat and drought scenarios can contribute to reduce the negative effects of climate change. We propose here an approach that consisted of (1) clustering time courses of environmental variables simulated by a crop model in current (35 years × 55 sites) and future conditions into six scenarios of temperature and water deficit as experienced by maize (Zea mays L.) plants; (2) performing 29 field experiments in contrasting conditions across Europe with 244 maize hybrids; (3) assigning individual experiments to scenarios based on environmental conditions as measured in each field experiment; frequencies of temperature scenarios in our experiments corresponded to future heat scenarios (+5°C); (4) analyzing the genetic variation of plant performance for each environmental scenario. Forty-eight quantitative trait loci (QTLs) of yield were identified by association genetics using a multi-environment multi-locus model. Eight and twelve QTLs were associated to tolerances to heat and drought stresses because they were specific to hot and dry scenarios, respectively, with low or even negative allelic effects in favorable scenarios. Twenty-four QTLs improved yield in favorable conditions but showed nonsignificant effects under stress; they were therefore associated with higher sensitivity. Our approach showed a pattern of QTL effects expressed as functions of environmental variables and scenarios, allowing us to suggest hypotheses for mechanisms and candidate genes underlying each QTL. It can be used for assessing the performance of genotypes and the contribution of genomic regions under current and future stress situations and to accelerate breeding for drought-prone environments.
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Affiliation(s)
- Emilie J Millet
- INRA, Laboratoire d'Ecophysiologie des Plantes sous Stress Environnementaux, 34060 Montpellier, France (E.J.M., C.W., A.C.-L., F.T.);Biometris - Applied Statistics, Department of Plant Science, Wageningen University, 6700AA Wageningen, Netherlands (W.K., F.V.E.);INRA, UMR 0320 / UMR 8120 Génétique Quantitative et Evolution, 91190 Gif-sur-Yvette, France (S.N, S.D.N., C.B., A.C.); INRA, SMH Maïs, Centre de recherche de Bordeaux Aquitaine, 40390 Saint-Martin-De-Hinx, France (J.L.); Centre de Recherche de Chappes, Biogemma, 63720 Chappes, France (S.P.); Syngenta France SAS, 12, Chemin de l'Hobit, BP 27, 31790, Saint-Sauveur, France (N.R.); KWS Saat SE, 37555 Einbeck, Germany (T.P.); Department of Agricultural Sciences, University of Bologna, 40127 Bologna, Italy (R.T.);MTA ATK/ AI CAR HAS, Martonvasar 2462, Hungary (Z.B.);UCL ELIA, 1348 Louvain-la-Neuve, Belgium (X.D.); andInstitute for Botany and Molecular Genetics, BioSC, RWTH Aachen University, 52074 Aachen, Germany (B.U.)
| | - Claude Welcker
- INRA, Laboratoire d'Ecophysiologie des Plantes sous Stress Environnementaux, 34060 Montpellier, France (E.J.M., C.W., A.C.-L., F.T.);Biometris - Applied Statistics, Department of Plant Science, Wageningen University, 6700AA Wageningen, Netherlands (W.K., F.V.E.);INRA, UMR 0320 / UMR 8120 Génétique Quantitative et Evolution, 91190 Gif-sur-Yvette, France (S.N, S.D.N., C.B., A.C.); INRA, SMH Maïs, Centre de recherche de Bordeaux Aquitaine, 40390 Saint-Martin-De-Hinx, France (J.L.); Centre de Recherche de Chappes, Biogemma, 63720 Chappes, France (S.P.); Syngenta France SAS, 12, Chemin de l'Hobit, BP 27, 31790, Saint-Sauveur, France (N.R.); KWS Saat SE, 37555 Einbeck, Germany (T.P.); Department of Agricultural Sciences, University of Bologna, 40127 Bologna, Italy (R.T.);MTA ATK/ AI CAR HAS, Martonvasar 2462, Hungary (Z.B.);UCL ELIA, 1348 Louvain-la-Neuve, Belgium (X.D.); andInstitute for Botany and Molecular Genetics, BioSC, RWTH Aachen University, 52074 Aachen, Germany (B.U.)
| | - Willem Kruijer
- INRA, Laboratoire d'Ecophysiologie des Plantes sous Stress Environnementaux, 34060 Montpellier, France (E.J.M., C.W., A.C.-L., F.T.);Biometris - Applied Statistics, Department of Plant Science, Wageningen University, 6700AA Wageningen, Netherlands (W.K., F.V.E.);INRA, UMR 0320 / UMR 8120 Génétique Quantitative et Evolution, 91190 Gif-sur-Yvette, France (S.N, S.D.N., C.B., A.C.); INRA, SMH Maïs, Centre de recherche de Bordeaux Aquitaine, 40390 Saint-Martin-De-Hinx, France (J.L.); Centre de Recherche de Chappes, Biogemma, 63720 Chappes, France (S.P.); Syngenta France SAS, 12, Chemin de l'Hobit, BP 27, 31790, Saint-Sauveur, France (N.R.); KWS Saat SE, 37555 Einbeck, Germany (T.P.); Department of Agricultural Sciences, University of Bologna, 40127 Bologna, Italy (R.T.);MTA ATK/ AI CAR HAS, Martonvasar 2462, Hungary (Z.B.);UCL ELIA, 1348 Louvain-la-Neuve, Belgium (X.D.); andInstitute for Botany and Molecular Genetics, BioSC, RWTH Aachen University, 52074 Aachen, Germany (B.U.)
| | - Sandra Negro
- INRA, Laboratoire d'Ecophysiologie des Plantes sous Stress Environnementaux, 34060 Montpellier, France (E.J.M., C.W., A.C.-L., F.T.);Biometris - Applied Statistics, Department of Plant Science, Wageningen University, 6700AA Wageningen, Netherlands (W.K., F.V.E.);INRA, UMR 0320 / UMR 8120 Génétique Quantitative et Evolution, 91190 Gif-sur-Yvette, France (S.N, S.D.N., C.B., A.C.); INRA, SMH Maïs, Centre de recherche de Bordeaux Aquitaine, 40390 Saint-Martin-De-Hinx, France (J.L.); Centre de Recherche de Chappes, Biogemma, 63720 Chappes, France (S.P.); Syngenta France SAS, 12, Chemin de l'Hobit, BP 27, 31790, Saint-Sauveur, France (N.R.); KWS Saat SE, 37555 Einbeck, Germany (T.P.); Department of Agricultural Sciences, University of Bologna, 40127 Bologna, Italy (R.T.);MTA ATK/ AI CAR HAS, Martonvasar 2462, Hungary (Z.B.);UCL ELIA, 1348 Louvain-la-Neuve, Belgium (X.D.); andInstitute for Botany and Molecular Genetics, BioSC, RWTH Aachen University, 52074 Aachen, Germany (B.U.)
| | - Aude Coupel-Ledru
- INRA, Laboratoire d'Ecophysiologie des Plantes sous Stress Environnementaux, 34060 Montpellier, France (E.J.M., C.W., A.C.-L., F.T.);Biometris - Applied Statistics, Department of Plant Science, Wageningen University, 6700AA Wageningen, Netherlands (W.K., F.V.E.);INRA, UMR 0320 / UMR 8120 Génétique Quantitative et Evolution, 91190 Gif-sur-Yvette, France (S.N, S.D.N., C.B., A.C.); INRA, SMH Maïs, Centre de recherche de Bordeaux Aquitaine, 40390 Saint-Martin-De-Hinx, France (J.L.); Centre de Recherche de Chappes, Biogemma, 63720 Chappes, France (S.P.); Syngenta France SAS, 12, Chemin de l'Hobit, BP 27, 31790, Saint-Sauveur, France (N.R.); KWS Saat SE, 37555 Einbeck, Germany (T.P.); Department of Agricultural Sciences, University of Bologna, 40127 Bologna, Italy (R.T.);MTA ATK/ AI CAR HAS, Martonvasar 2462, Hungary (Z.B.);UCL ELIA, 1348 Louvain-la-Neuve, Belgium (X.D.); andInstitute for Botany and Molecular Genetics, BioSC, RWTH Aachen University, 52074 Aachen, Germany (B.U.)
| | - Stéphane D Nicolas
- INRA, Laboratoire d'Ecophysiologie des Plantes sous Stress Environnementaux, 34060 Montpellier, France (E.J.M., C.W., A.C.-L., F.T.);Biometris - Applied Statistics, Department of Plant Science, Wageningen University, 6700AA Wageningen, Netherlands (W.K., F.V.E.);INRA, UMR 0320 / UMR 8120 Génétique Quantitative et Evolution, 91190 Gif-sur-Yvette, France (S.N, S.D.N., C.B., A.C.); INRA, SMH Maïs, Centre de recherche de Bordeaux Aquitaine, 40390 Saint-Martin-De-Hinx, France (J.L.); Centre de Recherche de Chappes, Biogemma, 63720 Chappes, France (S.P.); Syngenta France SAS, 12, Chemin de l'Hobit, BP 27, 31790, Saint-Sauveur, France (N.R.); KWS Saat SE, 37555 Einbeck, Germany (T.P.); Department of Agricultural Sciences, University of Bologna, 40127 Bologna, Italy (R.T.);MTA ATK/ AI CAR HAS, Martonvasar 2462, Hungary (Z.B.);UCL ELIA, 1348 Louvain-la-Neuve, Belgium (X.D.); andInstitute for Botany and Molecular Genetics, BioSC, RWTH Aachen University, 52074 Aachen, Germany (B.U.)
| | - Jacques Laborde
- INRA, Laboratoire d'Ecophysiologie des Plantes sous Stress Environnementaux, 34060 Montpellier, France (E.J.M., C.W., A.C.-L., F.T.);Biometris - Applied Statistics, Department of Plant Science, Wageningen University, 6700AA Wageningen, Netherlands (W.K., F.V.E.);INRA, UMR 0320 / UMR 8120 Génétique Quantitative et Evolution, 91190 Gif-sur-Yvette, France (S.N, S.D.N., C.B., A.C.); INRA, SMH Maïs, Centre de recherche de Bordeaux Aquitaine, 40390 Saint-Martin-De-Hinx, France (J.L.); Centre de Recherche de Chappes, Biogemma, 63720 Chappes, France (S.P.); Syngenta France SAS, 12, Chemin de l'Hobit, BP 27, 31790, Saint-Sauveur, France (N.R.); KWS Saat SE, 37555 Einbeck, Germany (T.P.); Department of Agricultural Sciences, University of Bologna, 40127 Bologna, Italy (R.T.);MTA ATK/ AI CAR HAS, Martonvasar 2462, Hungary (Z.B.);UCL ELIA, 1348 Louvain-la-Neuve, Belgium (X.D.); andInstitute for Botany and Molecular Genetics, BioSC, RWTH Aachen University, 52074 Aachen, Germany (B.U.)
| | - Cyril Bauland
- INRA, Laboratoire d'Ecophysiologie des Plantes sous Stress Environnementaux, 34060 Montpellier, France (E.J.M., C.W., A.C.-L., F.T.);Biometris - Applied Statistics, Department of Plant Science, Wageningen University, 6700AA Wageningen, Netherlands (W.K., F.V.E.);INRA, UMR 0320 / UMR 8120 Génétique Quantitative et Evolution, 91190 Gif-sur-Yvette, France (S.N, S.D.N., C.B., A.C.); INRA, SMH Maïs, Centre de recherche de Bordeaux Aquitaine, 40390 Saint-Martin-De-Hinx, France (J.L.); Centre de Recherche de Chappes, Biogemma, 63720 Chappes, France (S.P.); Syngenta France SAS, 12, Chemin de l'Hobit, BP 27, 31790, Saint-Sauveur, France (N.R.); KWS Saat SE, 37555 Einbeck, Germany (T.P.); Department of Agricultural Sciences, University of Bologna, 40127 Bologna, Italy (R.T.);MTA ATK/ AI CAR HAS, Martonvasar 2462, Hungary (Z.B.);UCL ELIA, 1348 Louvain-la-Neuve, Belgium (X.D.); andInstitute for Botany and Molecular Genetics, BioSC, RWTH Aachen University, 52074 Aachen, Germany (B.U.)
| | - Sebastien Praud
- INRA, Laboratoire d'Ecophysiologie des Plantes sous Stress Environnementaux, 34060 Montpellier, France (E.J.M., C.W., A.C.-L., F.T.);Biometris - Applied Statistics, Department of Plant Science, Wageningen University, 6700AA Wageningen, Netherlands (W.K., F.V.E.);INRA, UMR 0320 / UMR 8120 Génétique Quantitative et Evolution, 91190 Gif-sur-Yvette, France (S.N, S.D.N., C.B., A.C.); INRA, SMH Maïs, Centre de recherche de Bordeaux Aquitaine, 40390 Saint-Martin-De-Hinx, France (J.L.); Centre de Recherche de Chappes, Biogemma, 63720 Chappes, France (S.P.); Syngenta France SAS, 12, Chemin de l'Hobit, BP 27, 31790, Saint-Sauveur, France (N.R.); KWS Saat SE, 37555 Einbeck, Germany (T.P.); Department of Agricultural Sciences, University of Bologna, 40127 Bologna, Italy (R.T.);MTA ATK/ AI CAR HAS, Martonvasar 2462, Hungary (Z.B.);UCL ELIA, 1348 Louvain-la-Neuve, Belgium (X.D.); andInstitute for Botany and Molecular Genetics, BioSC, RWTH Aachen University, 52074 Aachen, Germany (B.U.)
| | - Nicolas Ranc
- INRA, Laboratoire d'Ecophysiologie des Plantes sous Stress Environnementaux, 34060 Montpellier, France (E.J.M., C.W., A.C.-L., F.T.);Biometris - Applied Statistics, Department of Plant Science, Wageningen University, 6700AA Wageningen, Netherlands (W.K., F.V.E.);INRA, UMR 0320 / UMR 8120 Génétique Quantitative et Evolution, 91190 Gif-sur-Yvette, France (S.N, S.D.N., C.B., A.C.); INRA, SMH Maïs, Centre de recherche de Bordeaux Aquitaine, 40390 Saint-Martin-De-Hinx, France (J.L.); Centre de Recherche de Chappes, Biogemma, 63720 Chappes, France (S.P.); Syngenta France SAS, 12, Chemin de l'Hobit, BP 27, 31790, Saint-Sauveur, France (N.R.); KWS Saat SE, 37555 Einbeck, Germany (T.P.); Department of Agricultural Sciences, University of Bologna, 40127 Bologna, Italy (R.T.);MTA ATK/ AI CAR HAS, Martonvasar 2462, Hungary (Z.B.);UCL ELIA, 1348 Louvain-la-Neuve, Belgium (X.D.); andInstitute for Botany and Molecular Genetics, BioSC, RWTH Aachen University, 52074 Aachen, Germany (B.U.)
| | - Thomas Presterl
- INRA, Laboratoire d'Ecophysiologie des Plantes sous Stress Environnementaux, 34060 Montpellier, France (E.J.M., C.W., A.C.-L., F.T.);Biometris - Applied Statistics, Department of Plant Science, Wageningen University, 6700AA Wageningen, Netherlands (W.K., F.V.E.);INRA, UMR 0320 / UMR 8120 Génétique Quantitative et Evolution, 91190 Gif-sur-Yvette, France (S.N, S.D.N., C.B., A.C.); INRA, SMH Maïs, Centre de recherche de Bordeaux Aquitaine, 40390 Saint-Martin-De-Hinx, France (J.L.); Centre de Recherche de Chappes, Biogemma, 63720 Chappes, France (S.P.); Syngenta France SAS, 12, Chemin de l'Hobit, BP 27, 31790, Saint-Sauveur, France (N.R.); KWS Saat SE, 37555 Einbeck, Germany (T.P.); Department of Agricultural Sciences, University of Bologna, 40127 Bologna, Italy (R.T.);MTA ATK/ AI CAR HAS, Martonvasar 2462, Hungary (Z.B.);UCL ELIA, 1348 Louvain-la-Neuve, Belgium (X.D.); andInstitute for Botany and Molecular Genetics, BioSC, RWTH Aachen University, 52074 Aachen, Germany (B.U.)
| | - Roberto Tuberosa
- INRA, Laboratoire d'Ecophysiologie des Plantes sous Stress Environnementaux, 34060 Montpellier, France (E.J.M., C.W., A.C.-L., F.T.);Biometris - Applied Statistics, Department of Plant Science, Wageningen University, 6700AA Wageningen, Netherlands (W.K., F.V.E.);INRA, UMR 0320 / UMR 8120 Génétique Quantitative et Evolution, 91190 Gif-sur-Yvette, France (S.N, S.D.N., C.B., A.C.); INRA, SMH Maïs, Centre de recherche de Bordeaux Aquitaine, 40390 Saint-Martin-De-Hinx, France (J.L.); Centre de Recherche de Chappes, Biogemma, 63720 Chappes, France (S.P.); Syngenta France SAS, 12, Chemin de l'Hobit, BP 27, 31790, Saint-Sauveur, France (N.R.); KWS Saat SE, 37555 Einbeck, Germany (T.P.); Department of Agricultural Sciences, University of Bologna, 40127 Bologna, Italy (R.T.);MTA ATK/ AI CAR HAS, Martonvasar 2462, Hungary (Z.B.);UCL ELIA, 1348 Louvain-la-Neuve, Belgium (X.D.); andInstitute for Botany and Molecular Genetics, BioSC, RWTH Aachen University, 52074 Aachen, Germany (B.U.)
| | - Zoltan Bedo
- INRA, Laboratoire d'Ecophysiologie des Plantes sous Stress Environnementaux, 34060 Montpellier, France (E.J.M., C.W., A.C.-L., F.T.);Biometris - Applied Statistics, Department of Plant Science, Wageningen University, 6700AA Wageningen, Netherlands (W.K., F.V.E.);INRA, UMR 0320 / UMR 8120 Génétique Quantitative et Evolution, 91190 Gif-sur-Yvette, France (S.N, S.D.N., C.B., A.C.); INRA, SMH Maïs, Centre de recherche de Bordeaux Aquitaine, 40390 Saint-Martin-De-Hinx, France (J.L.); Centre de Recherche de Chappes, Biogemma, 63720 Chappes, France (S.P.); Syngenta France SAS, 12, Chemin de l'Hobit, BP 27, 31790, Saint-Sauveur, France (N.R.); KWS Saat SE, 37555 Einbeck, Germany (T.P.); Department of Agricultural Sciences, University of Bologna, 40127 Bologna, Italy (R.T.);MTA ATK/ AI CAR HAS, Martonvasar 2462, Hungary (Z.B.);UCL ELIA, 1348 Louvain-la-Neuve, Belgium (X.D.); andInstitute for Botany and Molecular Genetics, BioSC, RWTH Aachen University, 52074 Aachen, Germany (B.U.)
| | - Xavier Draye
- INRA, Laboratoire d'Ecophysiologie des Plantes sous Stress Environnementaux, 34060 Montpellier, France (E.J.M., C.W., A.C.-L., F.T.);Biometris - Applied Statistics, Department of Plant Science, Wageningen University, 6700AA Wageningen, Netherlands (W.K., F.V.E.);INRA, UMR 0320 / UMR 8120 Génétique Quantitative et Evolution, 91190 Gif-sur-Yvette, France (S.N, S.D.N., C.B., A.C.); INRA, SMH Maïs, Centre de recherche de Bordeaux Aquitaine, 40390 Saint-Martin-De-Hinx, France (J.L.); Centre de Recherche de Chappes, Biogemma, 63720 Chappes, France (S.P.); Syngenta France SAS, 12, Chemin de l'Hobit, BP 27, 31790, Saint-Sauveur, France (N.R.); KWS Saat SE, 37555 Einbeck, Germany (T.P.); Department of Agricultural Sciences, University of Bologna, 40127 Bologna, Italy (R.T.);MTA ATK/ AI CAR HAS, Martonvasar 2462, Hungary (Z.B.);UCL ELIA, 1348 Louvain-la-Neuve, Belgium (X.D.); andInstitute for Botany and Molecular Genetics, BioSC, RWTH Aachen University, 52074 Aachen, Germany (B.U.)
| | - Björn Usadel
- INRA, Laboratoire d'Ecophysiologie des Plantes sous Stress Environnementaux, 34060 Montpellier, France (E.J.M., C.W., A.C.-L., F.T.);Biometris - Applied Statistics, Department of Plant Science, Wageningen University, 6700AA Wageningen, Netherlands (W.K., F.V.E.);INRA, UMR 0320 / UMR 8120 Génétique Quantitative et Evolution, 91190 Gif-sur-Yvette, France (S.N, S.D.N., C.B., A.C.); INRA, SMH Maïs, Centre de recherche de Bordeaux Aquitaine, 40390 Saint-Martin-De-Hinx, France (J.L.); Centre de Recherche de Chappes, Biogemma, 63720 Chappes, France (S.P.); Syngenta France SAS, 12, Chemin de l'Hobit, BP 27, 31790, Saint-Sauveur, France (N.R.); KWS Saat SE, 37555 Einbeck, Germany (T.P.); Department of Agricultural Sciences, University of Bologna, 40127 Bologna, Italy (R.T.);MTA ATK/ AI CAR HAS, Martonvasar 2462, Hungary (Z.B.);UCL ELIA, 1348 Louvain-la-Neuve, Belgium (X.D.); andInstitute for Botany and Molecular Genetics, BioSC, RWTH Aachen University, 52074 Aachen, Germany (B.U.)
| | - Alain Charcosset
- INRA, Laboratoire d'Ecophysiologie des Plantes sous Stress Environnementaux, 34060 Montpellier, France (E.J.M., C.W., A.C.-L., F.T.);Biometris - Applied Statistics, Department of Plant Science, Wageningen University, 6700AA Wageningen, Netherlands (W.K., F.V.E.);INRA, UMR 0320 / UMR 8120 Génétique Quantitative et Evolution, 91190 Gif-sur-Yvette, France (S.N, S.D.N., C.B., A.C.); INRA, SMH Maïs, Centre de recherche de Bordeaux Aquitaine, 40390 Saint-Martin-De-Hinx, France (J.L.); Centre de Recherche de Chappes, Biogemma, 63720 Chappes, France (S.P.); Syngenta France SAS, 12, Chemin de l'Hobit, BP 27, 31790, Saint-Sauveur, France (N.R.); KWS Saat SE, 37555 Einbeck, Germany (T.P.); Department of Agricultural Sciences, University of Bologna, 40127 Bologna, Italy (R.T.);MTA ATK/ AI CAR HAS, Martonvasar 2462, Hungary (Z.B.);UCL ELIA, 1348 Louvain-la-Neuve, Belgium (X.D.); andInstitute for Botany and Molecular Genetics, BioSC, RWTH Aachen University, 52074 Aachen, Germany (B.U.)
| | - Fred Van Eeuwijk
- INRA, Laboratoire d'Ecophysiologie des Plantes sous Stress Environnementaux, 34060 Montpellier, France (E.J.M., C.W., A.C.-L., F.T.);Biometris - Applied Statistics, Department of Plant Science, Wageningen University, 6700AA Wageningen, Netherlands (W.K., F.V.E.);INRA, UMR 0320 / UMR 8120 Génétique Quantitative et Evolution, 91190 Gif-sur-Yvette, France (S.N, S.D.N., C.B., A.C.); INRA, SMH Maïs, Centre de recherche de Bordeaux Aquitaine, 40390 Saint-Martin-De-Hinx, France (J.L.); Centre de Recherche de Chappes, Biogemma, 63720 Chappes, France (S.P.); Syngenta France SAS, 12, Chemin de l'Hobit, BP 27, 31790, Saint-Sauveur, France (N.R.); KWS Saat SE, 37555 Einbeck, Germany (T.P.); Department of Agricultural Sciences, University of Bologna, 40127 Bologna, Italy (R.T.);MTA ATK/ AI CAR HAS, Martonvasar 2462, Hungary (Z.B.);UCL ELIA, 1348 Louvain-la-Neuve, Belgium (X.D.); andInstitute for Botany and Molecular Genetics, BioSC, RWTH Aachen University, 52074 Aachen, Germany (B.U.)
| | - François Tardieu
- INRA, Laboratoire d'Ecophysiologie des Plantes sous Stress Environnementaux, 34060 Montpellier, France (E.J.M., C.W., A.C.-L., F.T.);Biometris - Applied Statistics, Department of Plant Science, Wageningen University, 6700AA Wageningen, Netherlands (W.K., F.V.E.);INRA, UMR 0320 / UMR 8120 Génétique Quantitative et Evolution, 91190 Gif-sur-Yvette, France (S.N, S.D.N., C.B., A.C.); INRA, SMH Maïs, Centre de recherche de Bordeaux Aquitaine, 40390 Saint-Martin-De-Hinx, France (J.L.); Centre de Recherche de Chappes, Biogemma, 63720 Chappes, France (S.P.); Syngenta France SAS, 12, Chemin de l'Hobit, BP 27, 31790, Saint-Sauveur, France (N.R.); KWS Saat SE, 37555 Einbeck, Germany (T.P.); Department of Agricultural Sciences, University of Bologna, 40127 Bologna, Italy (R.T.);MTA ATK/ AI CAR HAS, Martonvasar 2462, Hungary (Z.B.);UCL ELIA, 1348 Louvain-la-Neuve, Belgium (X.D.); andInstitute for Botany and Molecular Genetics, BioSC, RWTH Aachen University, 52074 Aachen, Germany (B.U.)
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Wang J, Kaletsky R, Silva M, Williams A, Haas LA, Androwski RJ, Landis JN, Patrick C, Rashid A, Santiago-Martinez D, Gravato-Nobre M, Hodgkin J, Hall DH, Murphy CT, Barr MM. Cell-Specific Transcriptional Profiling of Ciliated Sensory Neurons Reveals Regulators of Behavior and Extracellular Vesicle Biogenesis. Curr Biol 2015; 25:3232-8. [PMID: 26687621 DOI: 10.1016/j.cub.2015.10.057] [Citation(s) in RCA: 74] [Impact Index Per Article: 7.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/04/2015] [Revised: 10/23/2015] [Accepted: 10/26/2015] [Indexed: 12/11/2022]
Abstract
Cilia and extracellular vesicles (EVs) are signaling organelles [1]. Cilia act as cellular sensory antennae, with defects resulting in human ciliopathies. Cilia both release and bind to EVs [1]. EVs are sub-micron-sized particles released by cells and function in both short- and long-range intercellular communication. In C. elegans and mammals, the autosomal dominant polycystic kidney disease (ADPKD) gene products polycystin-1 and polycystin-2 localize to both cilia and EVs, act in the same genetic pathway, and function in a sensory capacity, suggesting ancient conservation [2]. A fundamental understanding of EV biology and the relationship between the polycystins, cilia, and EVs is lacking. To define properties of a ciliated EV-releasing cell, we performed RNA-seq on 27 GFP-labeled EV-releasing neurons (EVNs) isolated from adult C. elegans. We identified 335 significantly overrepresented genes, of which 61 were validated by GFP reporters. The EVN transcriptional profile uncovered new pathways controlling EV biogenesis and polycystin signaling and also identified EV cargo, which included an antimicrobial peptide and ASIC channel. Tumor-necrosis-associated factor (TRAF) homologs trf-1 and trf-2 and the p38 mitogen-activated protein kinase (MAPK) pmk-1 acted in polycystin-signaling pathways controlling male mating behaviors. pmk-1 was also required for EV biogenesis, independent of the innate immunity MAPK signaling cascade. This first high-resolution transcriptome profile of a subtype of ciliated sensory neurons isolated from adult animals reveals the functional components of an EVN.
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Affiliation(s)
- Juan Wang
- Department of Genetics and Human Genetics Institute, Rutgers University, Piscataway, NJ 08854, USA
| | - Rachel Kaletsky
- Department of Molecular Biology and Lewis Sigler Institute, Princeton University, Princeton, NJ 08544, USA
| | - Malan Silva
- Department of Genetics and Human Genetics Institute, Rutgers University, Piscataway, NJ 08854, USA
| | - April Williams
- Department of Molecular Biology and Lewis Sigler Institute, Princeton University, Princeton, NJ 08544, USA
| | - Leonard A Haas
- Department of Genetics and Human Genetics Institute, Rutgers University, Piscataway, NJ 08854, USA
| | - Rebecca J Androwski
- Department of Genetics and Human Genetics Institute, Rutgers University, Piscataway, NJ 08854, USA
| | - Jessica N Landis
- Department of Molecular Biology and Lewis Sigler Institute, Princeton University, Princeton, NJ 08544, USA
| | - Cory Patrick
- Department of Genetics and Human Genetics Institute, Rutgers University, Piscataway, NJ 08854, USA
| | - Alina Rashid
- Department of Genetics and Human Genetics Institute, Rutgers University, Piscataway, NJ 08854, USA
| | | | | | - Jonathan Hodgkin
- Department of Biochemistry, University of Oxford, Oxford OX1 3QU, UK
| | - David H Hall
- Center for C. elegans Anatomy, Albert Einstein College of Medicine, 1410 Pelham Parkway, Bronx, NY 10461, USA
| | - Coleen T Murphy
- Department of Molecular Biology and Lewis Sigler Institute, Princeton University, Princeton, NJ 08544, USA
| | - Maureen M Barr
- Department of Genetics and Human Genetics Institute, Rutgers University, Piscataway, NJ 08854, USA.
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Defour JP, Chachoua I, Pecquet C, Constantinescu SN. Oncogenic activation of MPL/thrombopoietin receptor by 17 mutations at W515: implications for myeloproliferative neoplasms. Leukemia 2015; 30:1214-6. [DOI: 10.1038/leu.2015.271] [Citation(s) in RCA: 46] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/18/2022]
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Agrawal M, Biswas A. Molecular diagnostics of neurodegenerative disorders. Front Mol Biosci 2015; 2:54. [PMID: 26442283 PMCID: PMC4585189 DOI: 10.3389/fmolb.2015.00054] [Citation(s) in RCA: 100] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/08/2015] [Accepted: 09/04/2015] [Indexed: 12/12/2022] Open
Abstract
Molecular diagnostics provide a powerful method to detect and diagnose various neurological diseases such as Alzheimer's and Parkinson's disease. The confirmation of such diagnosis allows early detection and subsequent medical counseling that help specific patients to undergo clinically important drug trials. This provides a medical pathway to have better insight of neurogenesis and eventual cure of the neurodegenerative diseases. In this short review, we present recent advances in molecular diagnostics especially biomarkers and imaging spectroscopy for neurological diseases. We describe advances made in Alzheimer's disease (AD), Parkinson's disease (PD), Amyotrophic lateral sclerosis (ALS) and Huntington's disease (HD), and finally present a perspective on the future directions to provide a framework for further developments and refinements of molecular diagnostics to combat neurodegenerative disorders.
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Affiliation(s)
- Megha Agrawal
- Department of Biology, University of Arkansas at Little Rock Little Rock, AR, USA
| | - Abhijit Biswas
- Department of Electrical Engineering, Center for Nano Science and Technology, University of Notre Dame Notre Dame, IN, USA
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Huntington's disease biomarker progression profile identified by transcriptome sequencing in peripheral blood. Eur J Hum Genet 2015; 23:1349-56. [PMID: 25626709 PMCID: PMC4592077 DOI: 10.1038/ejhg.2014.281] [Citation(s) in RCA: 67] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/23/2014] [Revised: 11/04/2014] [Accepted: 11/26/2014] [Indexed: 12/28/2022] Open
Abstract
With several therapeutic approaches in development for Huntington's disease, there is a need for easily accessible biomarkers to monitor disease progression and therapy response. We performed next-generation sequencing-based transcriptome analysis of total RNA from peripheral blood of 91 mutation carriers (27 presymptomatic and, 64 symptomatic) and 33 controls. Transcriptome analysis by DeepSAGE identified 167 genes significantly associated with clinical total motor score in Huntington's disease patients. Relative to previous studies, this yielded novel genes and confirmed previously identified genes, such as H2AFY, an overlap in results that has proven difficult in the past. Pathway analysis showed enrichment of genes of the immune system and target genes of miRNAs, which are downregulated in Huntington's disease models. Using a highly parallelized microfluidics array chip (Fluidigm), we validated 12 of the top 20 significant genes in our discovery cohort and 7 in a second independent cohort. The five genes (PROK2, ZNF238, AQP9, CYSTM1 and ANXA3) that were validated independently in both cohorts present a candidate biomarker panel for stage determination and therapeutic readout in Huntington's disease. Finally we suggest a first empiric formula predicting total motor score from the expression levels of our biomarker panel. Our data support the view that peripheral blood is a useful source to identify biomarkers for Huntington's disease and monitor disease progression in future clinical trials.
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Bachnoff N, Cohen-Kutner M, Trus M, Atlas D. Intra-membrane signaling between the voltage-gated Ca2+-channel and cysteine residues of syntaxin 1A coordinates synchronous release. Sci Rep 2014; 3:1620. [PMID: 23567899 PMCID: PMC3621091 DOI: 10.1038/srep01620] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2013] [Accepted: 03/26/2013] [Indexed: 11/28/2022] Open
Abstract
The interaction of syntaxin 1A (Sx1A) with voltage-gated calcium channels (VGCC) is required for depolarization-evoked release. However, it is unclear how the signal is transferred from the channel to the exocytotic machinery and whether assembly of Sx1A and the calcium channel is conformationally linked to triggering synchronous release. Here we demonstrate that depolarization-evoked catecholamine release was decreased in chromaffin cells infected with semliki forest viral vectors encoding Sx1A mutants, Sx1AC271V, or Sx1AC272V, or by direct oxidation of these Sx1A transmembrane (TM) cysteine residues. Mutating or oxidizing these highly conserved Sx1A Cys271 and Cys272 equally disrupted the Sx1A interaction with the channel. The results highlight the functional link between the VGCC and the exocytotic machinery, and attribute the redox sensitivity of the release process to the Sx1A TM C271 and C272. This unique intra-membrane signal-transduction pathway enables fast signaling, and triggers synchronous release by conformational-coupling of the channel with Sx1A.
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Affiliation(s)
- Niv Bachnoff
- The Hebrew University of Jerusalem, Institute of Life Sciences, Department of Biological Chemistry, Givat-Ram, Jerusalem, Israel
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Kantcheva RB, Mason R, Giorgini F. Aggregation-prone proteins modulate huntingtin inclusion body formation in yeast. PLOS CURRENTS 2014; 6. [PMID: 24804153 PMCID: PMC4006944 DOI: 10.1371/currents.hd.501008f3051342c9a5c0cd0f3a5bf3a4] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
Huntington's disease (HD) is a fatal neurodegenerative disorder caused by a polyglutamine expansion in the huntingtin (HTT) protein. The expression of mutant HTT in the baker's yeast Saccharomyces cerevisiae recapitulates many of the cellular phenotypes observed in mammalian HD models. Mutant HTT aggregation and toxicity in yeast is influenced by the presence of the Rnq1p and Sup35p prions, as well as other glutamine/asparagine-rich aggregation-prone proteins. Here we investigated the ability of a subset of these proteins to modulate mutant HTT aggregation and to substitute for the prion form of Rnq1p. We find that overexpression of either the putative prion Ybr016wp or the Sup35p prion restores aggregation of mutant HTT in yeast cells lacking the Rnq1p prion. These results indicate that an interchangeable suite of aggregation-prone proteins regulates mutant HTT aggregation dynamics in yeast, which may have implications for mutant HTT aggregation in human cells.
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Affiliation(s)
| | - Robert Mason
- Department of Genetics, University of Leicester, Leicester, UK
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Mir R, León J. Pathogen and circadian controlled 1 (PCC1) protein is anchored to the plasma membrane and interacts with subunit 5 of COP9 signalosome in Arabidopsis. PLoS One 2014; 9:e87216. [PMID: 24475254 PMCID: PMC3903633 DOI: 10.1371/journal.pone.0087216] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/27/2013] [Accepted: 12/25/2013] [Indexed: 12/03/2022] Open
Abstract
The Pathogen and Circadian Controlled 1 (PCC1) gene, previously identified and further characterized as involved in defense to pathogens and stress-induced flowering, codes for an 81-amino acid protein with a cysteine-rich C-terminal domain. This domain is essential for homodimerization and anchoring to the plasma membrane. Transgenic plants with the ß-glucuronidase (GUS) reporter gene under the control of 1.1 kb promoter sequence of PCC1 gene display a dual pattern of expression. At early post-germination, PCC1 is expressed only in the root vasculature and in the stomata guard cells of cotyledons. During the transition from vegetative to reproductive development, PCC1 is strongly expressed in the vascular tissue of petioles and basal part of the leaf, and it further spreads to the whole limb in fully expanded leaves. This developmental pattern of expression together with the late flowering phenotype of long-day grown RNA interference (iPCC1) plants with reduced PCC1 expression pointed to a regulatory role of PCC1 in the photoperiod-dependent flowering pathway. iPCC1 plants are defective in light perception and signaling but are not impaired in the function of the core CO-FT module of the photoperiod-dependent pathway. The regulatory effect exerted by PCC1 on the transition to flowering as well as on other reported phenotypes might be explained by a mechanism involving the interaction with the subunit 5 of the COP9 signalosome (CSN).
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Affiliation(s)
- Ricardo Mir
- Instituto de Biología Molecular y Celular de Plantas, Consejo Superior de Investigaciones Científicas-Universidad Politécnica de Valencia, Valencia, Spain
| | - José León
- Instituto de Biología Molecular y Celular de Plantas, Consejo Superior de Investigaciones Científicas-Universidad Politécnica de Valencia, Valencia, Spain
- * E-mail:
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Mir R, Hernández ML, Abou-Mansour E, Martínez-Rivas JM, Mauch F, Métraux JP, León J. Pathogen and Circadian Controlled 1 (PCC1) regulates polar lipid content, ABA-related responses, and pathogen defence in Arabidopsis thaliana. JOURNAL OF EXPERIMENTAL BOTANY 2013; 64:3385-95. [PMID: 23833195 DOI: 10.1093/jxb/ert177] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/05/2023]
Abstract
Pathogen and Circadian Controlled 1 (PCC1) was previously characterized as a regulator of defence against pathogens and stress-activated transition to flowering. Plants expressing an RNA interference construct for the PCC1 gene (iPCC1 plants) showed a pleiotropic phenotype. They were hypersensitive to abscisic acid (ABA) as shown by reduced germination potential and seedling establishment, as well as reduced stomatal aperture and main root length in ABA-supplemented media. In addition, iPCC1 plants displayed alterations in polar lipid contents and their corresponding fatty acids. Importantly, a significant reduction in the content of phosphatidylinositol (PI) was observed in iPCC1 leaves when compared with wild-type plants. A trend in reduced levels of 18:0 and increased levels of 18:2 and particularly 18:3 was also detected in several classes of polar lipids. The enhanced ABA-mediated responses and the reduced content of PI might be responsible for iPCC1 plants displaying a complex pattern of defence against pathogens of different lifestyles. iPCC1 plants were more susceptible to the hemi-biotrophic oomycete pathogen Phytophthora brassicae and more resistant to the necrotrophic fungal pathogen Botrytis cinerea compared with wild-type plants.
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Affiliation(s)
- Ricardo Mir
- Instituto de Biología Molecular y Celular de Plantas (CSIC-Universidad Politécnica de Valencia), Ciudad Politécnica de la Innovación, Edificio 8E, Avda. Ingeniero Fausto Elio s/n, 46022 Valencia, Spain
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Anantharaman V, Iyer LM, Aravind L. Ter-dependent stress response systems: novel pathways related to metal sensing, production of a nucleoside-like metabolite, and DNA-processing. MOLECULAR BIOSYSTEMS 2013; 8:3142-65. [PMID: 23044854 DOI: 10.1039/c2mb25239b] [Citation(s) in RCA: 73] [Impact Index Per Article: 6.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/19/2022]
Abstract
The mode of action of the bacterial ter cluster and TelA genes, implicated in natural resistance to tellurite and other xenobiotic toxic compounds, pore-forming colicins and several bacteriophages, has remained enigmatic for almost two decades. Using comparative genomics, sequence-profile searches and structural analysis we present evidence that the ter gene products and their functional partners constitute previously underappreciated, chemical stress response and anti-viral defense systems of bacteria. Based on contextual information from conserved gene neighborhoods and domain architectures, we show that the ter gene products and TelA lie at the center of membrane-linked metal recognition complexes with regulatory ramifications encompassing phosphorylation-dependent signal transduction, RNA-dependent regulation, biosynthesis of nucleoside-like metabolites and DNA processing. Our analysis suggests that the multiple metal-binding and non-binding TerD paralogs and TerC are likely to constitute a membrane-associated complex, which might also include TerB and TerY, and feature several, distinct metal-binding sites. Versions of the TerB domain might also bind small molecule ligands and link the TerD paralog-TerC complex to biosynthetic modules comprising phosphoribosyltransferases (PRTases), ATP grasp amidoligases, TIM-barrel carbon-carbon lyases, and HAD phosphoesterases, which are predicted to synthesize novel nucleoside-like molecules. One of the PRTases is also likely to interact with RNA by means of its Pelota/Ribosomal protein L7AE-like domain. The von Willebrand factor A domain protein, TerY, is predicted to be part of a distinct phosphorylation switch, coupling a protein kinase and a PP2C phosphatase. We show, based on the evidence from numerous conserved gene neighborhoods and domain architectures, that both the TerB and TelA domains have been linked to diverse lipid-interaction domains, such as two novel PH-like and the Coq4 domains, in different bacteria, and are likely to comprise membrane-associated sensory complexes that might additionally contain periplasmic binding-protein-II and OmpA domains. We also show that the TerD and TerB domains and the TerY-associated phosphorylation system are functionally linked to many distinct DNA-processing complexes, which feature proteins with SWI2/SNF2 and RecQ-like helicases, multiple AAA+ ATPases, McrC-N-terminal domain proteins, several restriction endonuclease fold DNases, DNA-binding domains and a type-VII/Esx-like system, which is at the center of a predicted DNA transfer apparatus. These DNA-processing modules and associated genes are predicted to be involved in restriction or suicidal action in response to phages and possibly repairing xenobiotic-induced DNA damage. In some eukaryotes, certain components of the ter system appear to be recruited to function in conjunction with the ubiquitin system and calcium-signaling pathways.
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Affiliation(s)
- Vivek Anantharaman
- National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, Maryland 20894, USA
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Venancio TM, Bellieny-Rabelo D, Aravind L. Evolutionary and Biochemical Aspects of Chemical Stress Resistance in Saccharomyces cerevisiae. Front Genet 2012; 3:47. [PMID: 22479268 PMCID: PMC3315702 DOI: 10.3389/fgene.2012.00047] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/12/2012] [Accepted: 03/15/2012] [Indexed: 01/03/2023] Open
Abstract
Large-scale chemical genetics screens (chemogenomics) in yeast have been widely used to find drug targets, understand the mechanism-of-action of compounds, and unravel the biochemistry of drug resistance. Chemogenomics is based on the comparison of growth of gene deletants in the presence and absence of a chemical substance. Such studies showed that more than 90% of the yeast genes are required for growth in the presence of at least one chemical. Analysis of these data, using computational approaches, has revealed non-trivial features of the natural chemical tolerance systems. As a result two non-overlapping sets of genes are seen to respectively impart robustness and evolvability in the context of natural chemical resistance. The former is composed of multidrug-resistance genes, whereas the latter comprises genes sharing chemical genetic profiles with many others. Recent publications showing the potential applications chemogenomics in studying the pharmacological basis of various drugs are discussed, as well as the expansion of chemogenomics to other organisms. Finally, integration of chemogenomics with sensitive sequence analysis and ubiquitination/phosphorylation data led to the discovery of a new conserved domain and important post-translational modification pathways involved in stress resistance.
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Affiliation(s)
- Thiago Motta Venancio
- Laboratório de Química e Função de Proteínas e Peptídeos, Centro de Biociências e Biotecnologia, Universidade Estadual do Norte Fluminense Darcy Ribeiro Campos dos Goytacazes, Brazil
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Feng Y, Peng H, Liang S. Molecular analysis of the PGYRP (proline-, glycine- and tyrosine-rich protein) gene family in soybean. Mol Biol Rep 2011; 38:2739-50. [PMID: 21104142 DOI: 10.1007/s11033-010-0419-1] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/28/2010] [Accepted: 11/08/2010] [Indexed: 11/25/2022]
Abstract
The genes coding for PGYRPs (proline-, glycine- and tyrosine-rich proteins) are widely distributed across eukaryotes and have been proposed to have critical role in plant development, especially in response to environmental stresses. In this study, total of 12 soybean PGYRPs (GmPGYRP1-12) were identified from the soybean genome database for the first time and full-length cDNA and DNA sequences of GmPGYRP7 was cloned. GmPGYRP1-12 genes encoded a set of small predicted proteins (<120 aa) with molecular mass of 7.20-13.29 kDa and isoelectric point of 4.06-6.57. All GmPGYRPs contained three exons and two introns with fixed occurring sites within genomic DNA sequences. In the putative GmPGYRP sequences, 4 amino acids (proline, glycine, tyrosine, and glutamine) account for more than 39% of the total protein composition. GmPGYRPs had a relatively flexible GYPPX motif followed by a highly conserved cysteine-rich domain (GCLAAXCCCCXLXC) and showed high similarity to other known PGYRPs, especially in C-terminal region. Most of PGYRPs can be divided into five subgroups according to phylogenetic analysis. The transcripts of GmPGYRP1, 3, 5, and 7, representing different PGYRP subgroups, appeared in different organs including seedling leaves, stems, roots, flowers, and developing seeds, but mainly accumulated in seedling roots. Furthermore, the expression of GmPGYRP1, 3, 5, and 7 was significantly regulated by drought, salt and cold, but obviously repressed by abscisic acid (ABA) at early stage. Our data suggest that GmPGYRP genes encoding a class of conservative XYPPX-repeat proteins probably play an important role in plant development as well as in response to abiotic stresses.
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Affiliation(s)
- Yingmei Feng
- Key Laboratory of Ecology of Rare and Endangered Species and Environmental Protection, Ministry of Education, College of Life Sciences, Guangxi Normal University, Guilin, 541004, China
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Venancio TM, Balaji S, Geetha S, Aravind L. Robustness and evolvability in natural chemical resistance: identification of novel systems properties, biochemical mechanisms and regulatory interactions. MOLECULAR BIOSYSTEMS 2010; 6:1475-91. [PMID: 20517567 PMCID: PMC3236069 DOI: 10.1039/c002567b] [Citation(s) in RCA: 11] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
A vast amount of data on the natural resistance of Saccharomyces cerevisiae to a diverse array of chemicals has been generated over the past decade (chemical genetics). We endeavored to use this data to better characterize the "systems" level properties of this phenomenon. By collating data from over 30 different genome-scale studies on growth of gene deletion mutants in presence of diverse chemicals, we assembled the largest currently available gene-chemical network. We also derived a second gene-gene network that links genes with significantly overlapping chemical-genetic profiles. We analyzed properties of these networks and investigated their significance by overlaying various sources of information, such as presence of TATA boxes in their promoters (which typically correlate with transcriptional noise), association with TFIID or SAGA, and propensity to function as phenotypic capacitors. We further combined these networks with ubiquitin and protein kinase-substrate networks to understand chemical tolerance in the context of major post-translational regulatory processes. Hubs in the gene-chemical network (multidrug resistance genes) are notably enriched for phenotypic capacitors (buffers against phenotypic variation), suggesting the generality of these players in buffering mechanistically unrelated deleterious forces impinging on the cell. More strikingly, analysis of the gene-gene network derived from the gene-chemical network uncovered another set of genes that appear to function in providing chemical tolerance in a cooperative manner. These appear to be enriched in lineage-specific and rapidly diverging members that also show a corresponding tendency for SAGA-dependent regulation, evolutionary divergence and noisy expression patterns. This set represents a previously underappreciated component of the chemical response that enables cells to explore alternative survival strategies. Thus, systems robustness and evolvability are simultaneously active as general forces in tolerating environmental variation. We also recover the actual genes involved in the above-discussed network properties and predict the biochemistry of their products. Certain key components of the ubiquitin system (e.g. Rcy1, Wss1 and Ubp16), peroxisome recycling (e.g. Irs4) and phosphorylation cascades (e.g. NPR1, MCK1 and HOG) are major participants and regulators of chemical resistance. We also show that a major sub-network boosting mitochondrial protein synthesis is important for exploration of alternative survival strategies under chemical stress. Further, we find evidence that cellular exploration of survival strategies under chemical stress and secondary metabolism draw from a common pool of biochemical players (e.g. acetyltransferases and a novel NTN hydrolase).
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Affiliation(s)
- Thiago M. Venancio
- National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, Maryland 20894, USA
| | - S. Balaji
- National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, Maryland 20894, USA
| | - S. Geetha
- 1001 Rockville Pike, Rockville, Maryland 20852, USA
| | - L. Aravind
- National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, Maryland 20894, USA
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