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Olafson PU, Aksoy S, Attardo GM, Buckmeier G, Chen X, Coates CJ, Davis M, Dykema J, Emrich SJ, Friedrich M, Holmes CJ, Ioannidis P, Jansen EN, Jennings EC, Lawson D, Martinson EO, Maslen GL, Meisel RP, Murphy TD, Nayduch D, Nelson DR, Oyen KJ, Raszick TJ, Ribeiro JMC, Robertson HM, Rosendale AJ, Sackton TB, Saelao P, Swiger SL, Sze SH, Tarone AM, Taylor DB, Warren WC, Waterhouse RM, Weirauch MT, Werren JH, Wilson RK, Zdobnov EM, Benoit JB. The genome of the stable fly, Stomoxys calcitrans, reveals potential mechanisms underlying reproduction, host interactions, and novel targets for pest control. BMC Biol 2021; 19:41. [PMID: 33750380 PMCID: PMC7944917 DOI: 10.1186/s12915-021-00975-9] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/20/2020] [Accepted: 02/03/2021] [Indexed: 01/01/2023] Open
Abstract
Background The stable fly, Stomoxys calcitrans, is a major blood-feeding pest of livestock that has near worldwide distribution, causing an annual cost of over $2 billion for control and product loss in the USA alone. Control of these flies has been limited to increased sanitary management practices and insecticide application for suppressing larval stages. Few genetic and molecular resources are available to help in developing novel methods for controlling stable flies. Results This study examines stable fly biology by utilizing a combination of high-quality genome sequencing and RNA-Seq analyses targeting multiple developmental stages and tissues. In conjunction, 1600 genes were manually curated to characterize genetic features related to stable fly reproduction, vector host interactions, host-microbe dynamics, and putative targets for control. Most notable was characterization of genes associated with reproduction and identification of expanded gene families with functional associations to vision, chemosensation, immunity, and metabolic detoxification pathways. Conclusions The combined sequencing, assembly, and curation of the male stable fly genome followed by RNA-Seq and downstream analyses provide insights necessary to understand the biology of this important pest. These resources and new data will provide the groundwork for expanding the tools available to control stable fly infestations. The close relationship of Stomoxys to other blood-feeding (horn flies and Glossina) and non-blood-feeding flies (house flies, medflies, Drosophila) will facilitate understanding of the evolutionary processes associated with development of blood feeding among the Cyclorrhapha. Supplementary Information The online version contains supplementary material available at 10.1186/s12915-021-00975-9.
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Affiliation(s)
- Pia U Olafson
- Livestock Arthropod Pests Research Unit, USDA-ARS, Kerrville, TX, USA.
| | - Serap Aksoy
- Department of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, CT, USA
| | - Geoffrey M Attardo
- Department of Entomology and Nematology, University of California - Davis, Davis, CA, USA
| | - Greta Buckmeier
- Livestock Arthropod Pests Research Unit, USDA-ARS, Kerrville, TX, USA
| | - Xiaoting Chen
- The Center for Autoimmune Genomics and Etiology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA
| | - Craig J Coates
- Department of Entomology, Texas A & M University, College Station, TX, USA
| | - Megan Davis
- Livestock Arthropod Pests Research Unit, USDA-ARS, Kerrville, TX, USA
| | - Justin Dykema
- Department of Biological Sciences, Wayne State University, Detroit, MI, USA
| | - Scott J Emrich
- Department of Electrical Engineering & Computer Science, University of Tennessee, Knoxville, TN, USA
| | - Markus Friedrich
- Department of Biological Sciences, Wayne State University, Detroit, MI, USA
| | - Christopher J Holmes
- Department of Biological Sciences, University of Cincinnati, Cincinnati, OH, USA
| | - Panagiotis Ioannidis
- Department of Genetic Medicine and Development, University of Geneva Medical School and Swiss Institute of Bioinformatics, 1211, Geneva, Switzerland
| | - Evan N Jansen
- Department of Biological Sciences, University of Cincinnati, Cincinnati, OH, USA
| | - Emily C Jennings
- Department of Biological Sciences, University of Cincinnati, Cincinnati, OH, USA
| | - Daniel Lawson
- The European Molecular Biology Laboratory, The European Bioinformatics Institute, The Wellcome Genome Campus, Hinxton, CB10 1SD, UK
| | | | - Gareth L Maslen
- The European Molecular Biology Laboratory, The European Bioinformatics Institute, The Wellcome Genome Campus, Hinxton, CB10 1SD, UK
| | - Richard P Meisel
- Department of Biology and Biochemistry, University of Houston, Houston, TX, USA
| | - Terence D Murphy
- National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, MD, USA
| | - Dana Nayduch
- Arthropod-borne Animal Diseases Research Unit, USDA-ARS, Manhattan, KS, USA
| | - David R Nelson
- Department of Microbiology, Immunology and Biochemistry, University of Tennessee Health Science Center, Memphis, TN, USA
| | - Kennan J Oyen
- Department of Biological Sciences, University of Cincinnati, Cincinnati, OH, USA
| | - Tyler J Raszick
- Department of Entomology, Texas A & M University, College Station, TX, USA
| | - José M C Ribeiro
- Section of Vector Biology, Laboratory of Malaria and Vector Research, National Institute of Allergy and Infectious Diseases, Rockville, MD, USA
| | - Hugh M Robertson
- Department of Entomology, University of Illinois at Urbana-Champaign, Urbana, IL, USA
| | | | - Timothy B Sackton
- Informatics Group, Faculty of Arts and Sciences, Harvard University, Cambridge, MA, USA
| | - Perot Saelao
- Livestock Arthropod Pests Research Unit, USDA-ARS, Kerrville, TX, USA
| | - Sonja L Swiger
- Department of Entomology, Texas A&M AgriLife Research and Extension Center, Stephenville, TX, USA
| | - Sing-Hoi Sze
- Department of Computer Science & Engineering, Department of Biochemistry & Biophysics, Texas A & M University, College Station, TX, USA
| | - Aaron M Tarone
- Department of Entomology, Texas A & M University, College Station, TX, USA
| | - David B Taylor
- Agroecosystem Management Research Unit, USDA-ARS, Lincoln, NE, USA
| | - Wesley C Warren
- University of Missouri, Bond Life Sciences Center, Columbia, MO, USA
| | - Robert M Waterhouse
- Department of Ecology and Evolution, University of Lausanne, and Swiss Institute of Bioinformatics, 1015, Lausanne, Switzerland
| | - Matthew T Weirauch
- Center for Autoimmune Genomics and Etiology, Divisions of Biomedical Informatics and Developmental Biology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA.,Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, OH, USA
| | - John H Werren
- Department of Biology, University of Rochester, Rochester, NY, USA
| | - Richard K Wilson
- Institute for Genomic Medicine, Nationwide Children's Hospital, Columbus, OH, USA.,College of Medicine, Ohio State University, Columbus, OH, USA
| | - Evgeny M Zdobnov
- Department of Genetic Medicine and Development, University of Geneva Medical School and Swiss Institute of Bioinformatics, 1211, Geneva, Switzerland
| | - Joshua B Benoit
- Department of Biological Sciences, University of Cincinnati, Cincinnati, OH, USA.
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Rork AM, Xu S, Attygalle A, Renner T. Primary Metabolism co-Opted for Defensive Chemical Production in the Carabid Beetle, Harpalus pensylvanicus. J Chem Ecol 2021; 47:334-349. [PMID: 33689113 DOI: 10.1007/s10886-021-01253-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/28/2020] [Revised: 12/18/2020] [Accepted: 02/02/2021] [Indexed: 11/25/2022]
Abstract
Of the approximately one million described insect species, ground beetles (Coleoptera: Carabidae) have long captivated the attention of evolutionary biologists due to the diversity of defensive compounds they synthesize. Produced using defensive glands in the abdomen, ground beetle chemicals represent over 250 compounds including predator-deterring formic acid, which has evolved as a defensive strategy at least three times across Insecta. Despite being a widespread method of defense, formic acid biosynthesis is poorly understood in insects. Previous studies have suggested that the folate cycle of one-carbon (C1) metabolism, a pathway involved in nucleotide biosynthesis, may play a key role in defensive-grade formic acid production in ants. Here, we report on the defensive gland transcriptome of the formic acid-producing ground beetle Harpalus pensylvanicus. The full suite of genes involved in the folate cycle of C1 metabolism are significantly differentially expressed in the defensive glands of H. pensylvanicus when compared to gene expression profiles in the rest of the body. We also find support for two additional pathways potentially involved in the biosynthesis of defensive-grade formic acid, the kynurenine pathway and the methionine salvage cycle. Additionally, we have found an array of differentially expressed genes in the secretory lobes involved in the biosynthesis and transport of cofactors necessary for formic acid biosynthesis, as well as genes presumably involved in the detoxification of secondary metabolites including formic acid. We also provide insight into the evolution of the predominant gene family involved in the folate cycle (MTHFD) and suggest that high expression of folate cycle genes rather than gene duplication and/or neofunctionalization may be more important for defensive-grade formic acid biosynthesis in H. pensylvanicus. This provides the first evidence in Coleoptera and one of a few examples in Insecta of a primary metabolic process being co-opted for defensive chemical biosynthesis. Our results shed light on potential mechanisms of formic acid biosynthesis in the defensive glands of a ground beetle and provide a foundation for further studies into the evolution of formic acid-based chemical defense strategies in insects.
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Affiliation(s)
- Adam M Rork
- Department of Entomology, The Pennsylvania State University, 501 ASI Building, University Park, PA, 16802, USA.
| | - Sihang Xu
- Department of Chemistry and Chemical Biology, Stevens Institute of Technology, Hoboken, NJ, 07030, USA
| | - Athula Attygalle
- Department of Chemistry and Chemical Biology, Stevens Institute of Technology, Hoboken, NJ, 07030, USA
| | - Tanya Renner
- Department of Entomology, The Pennsylvania State University, 501 ASI Building, University Park, PA, 16802, USA
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Parise MTD, Parise D, Kato RB, Pauling JK, Tauch A, Azevedo VADC, Baumbach J. CoryneRegNet 7, the reference database and analysis platform for corynebacterial gene regulatory networks. Sci Data 2020; 7:142. [PMID: 32393779 PMCID: PMC7214426 DOI: 10.1038/s41597-020-0484-9] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/06/2019] [Accepted: 04/15/2020] [Indexed: 12/21/2022] Open
Abstract
We present the newest version of CoryneRegNet, the reference database for corynebacterial regulatory interactions, available at www.exbio.wzw.tum.de/coryneregnet/. The exponential growth of next-generation sequencing data in recent years has allowed a better understanding of bacterial molecular mechanisms. Transcriptional regulation is one of the most important mechanisms for bacterial adaptation and survival. These mechanisms may be understood via an organism's network of regulatory interactions. Although the Corynebacterium genus is important in medical, veterinary and biotechnological research, little is known concerning the transcriptional regulation of these bacteria. Here, we unravel transcriptional regulatory networks (TRNs) for 224 corynebacterial strains by utilizing genome-scale transfer of TRNs from four model organisms and assigning statistical significance values to all predicted regulations. As a result, the number of corynebacterial strains with TRNs increased twenty times and the back-end and front-end were reimplemented to support new features as well as future database growth. CoryneRegNet 7 is the largest TRN database for the Corynebacterium genus and aids in elucidating transcriptional mechanisms enabling adaptation, survival and infection.
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Affiliation(s)
- Mariana Teixeira Dornelles Parise
- Institute of Biological Sciences, Universidade Federal de Minas Gerais, Belo Horizonte, Minas Gerais, Brazil.
- Chair of Experimental Bioinformatics, TUM School of Life Sciences, Technical University of Munich, Munich, Germany.
| | - Doglas Parise
- Institute of Biological Sciences, Universidade Federal de Minas Gerais, Belo Horizonte, Minas Gerais, Brazil
- Chair of Experimental Bioinformatics, TUM School of Life Sciences, Technical University of Munich, Munich, Germany
| | - Rodrigo Bentes Kato
- Institute of Biological Sciences, Universidade Federal de Minas Gerais, Belo Horizonte, Minas Gerais, Brazil
| | - Josch Konstantin Pauling
- LipiTUM, Chair of Experimental Bioinformatics, TUM School of Life Sciences, Technical University of Munich, Munich, Germany
| | - Andreas Tauch
- Center for Biotechnology (CeBiTec), Bielefeld University, Bielefeld, Germany
| | | | - Jan Baumbach
- Chair of Experimental Bioinformatics, TUM School of Life Sciences, Technical University of Munich, Munich, Germany
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