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de Jong TV, Pan Y, Rastas P, Munro D, Tutaj M, Akil H, Benner C, Chen D, Chitre AS, Chow W, Colonna V, Dalgard CL, Demos WM, Doris PA, Garrison E, Geurts AM, Gunturkun HM, Guryev V, Hourlier T, Howe K, Huang J, Kalbfleisch T, Kim P, Li L, Mahaffey S, Martin FJ, Mohammadi P, Ozel AB, Polesskaya O, Pravenec M, Prins P, Sebat J, Smith JR, Solberg Woods LC, Tabakoff B, Tracey A, Uliano-Silva M, Villani F, Wang H, Sharp BM, Telese F, Jiang Z, Saba L, Wang X, Murphy TD, Palmer AA, Kwitek AE, Dwinell MR, Williams RW, Li JZ, Chen H. A revamped rat reference genome improves the discovery of genetic diversity in laboratory rats. CELL GENOMICS 2024; 4:100527. [PMID: 38537634 PMCID: PMC11019364 DOI: 10.1016/j.xgen.2024.100527] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/02/2023] [Revised: 12/26/2023] [Accepted: 02/29/2024] [Indexed: 04/09/2024]
Abstract
The seventh iteration of the reference genome assembly for Rattus norvegicus-mRatBN7.2-corrects numerous misplaced segments and reduces base-level errors by approximately 9-fold and increases contiguity by 290-fold compared with its predecessor. Gene annotations are now more complete, improving the mapping precision of genomic, transcriptomic, and proteomics datasets. We jointly analyzed 163 short-read whole-genome sequencing datasets representing 120 laboratory rat strains and substrains using mRatBN7.2. We defined ∼20.0 million sequence variations, of which 18,700 are predicted to potentially impact the function of 6,677 genes. We also generated a new rat genetic map from 1,893 heterogeneous stock rats and annotated transcription start sites and alternative polyadenylation sites. The mRatBN7.2 assembly, along with the extensive analysis of genomic variations among rat strains, enhances our understanding of the rat genome, providing researchers with an expanded resource for studies involving rats.
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Affiliation(s)
- Tristan V de Jong
- Department of Pharmacology, Addiction Science, and Toxicology, University of Tennessee Health Science Center, Memphis, TN, USA
| | - Yanchao Pan
- Department of Human Genetics, University of Michigan, Ann Arbor, MI, USA
| | - Pasi Rastas
- Institute of Biotechnology, University of Helsinki, Helsinki, Finland
| | - Daniel Munro
- Department of Psychiatry, University of California San Diego, San Diego, CA, USA; Department of Integrative Structural and Computational Biology, Scripps Research, San Diego, CA, USA
| | - Monika Tutaj
- Department of Physiology, Medical College of Wisconsin, Milwaukee, WI, USA; Rat Genome Database, Medical College of Wisconsin, Milwaukee, WI, USA
| | - Huda Akil
- Michigan Neuroscience Institute, University of Michigan, Ann Arbor, MI, USA
| | - Chris Benner
- Department of Medicine, University of California San Diego, San Diego, CA, USA
| | - Denghui Chen
- Department of Psychiatry, University of California San Diego, San Diego, CA, USA
| | - Apurva S Chitre
- Department of Psychiatry, University of California San Diego, San Diego, CA, USA
| | - William Chow
- Tree of Life, Wellcome Sanger Institute, Cambridge, UK
| | - Vincenza Colonna
- Institute of Genetics and Biophysics, National Research Council, Naples, Italy; Department of Genetics, Genomics and Informatics, University of Tennessee Health Science Center, Memphis, TN, USA
| | - Clifton L Dalgard
- Department of Anatomy, Physiology & Genetics, The American Genome Center, Uniformed Services University of the Health Sciences, Bethesda, MD, USA
| | - Wendy M Demos
- Department of Physiology, Medical College of Wisconsin, Milwaukee, WI, USA; Rat Genome Database, Medical College of Wisconsin, Milwaukee, WI, USA
| | - Peter A Doris
- The Brown Foundation Institute of Molecular Medicine, Center for Human Genetics, University of Texas Health Science Center, Houston, TX, USA
| | - Erik Garrison
- Department of Genetics, Genomics and Informatics, University of Tennessee Health Science Center, Memphis, TN, USA
| | - Aron M Geurts
- Department of Physiology, Medical College of Wisconsin, Milwaukee, WI, USA
| | - Hakan M Gunturkun
- Department of Pharmacology, Addiction Science, and Toxicology, University of Tennessee Health Science Center, Memphis, TN, USA
| | - Victor Guryev
- Genome Structure and Ageing, University of Groningen, UMC, Groningen, the Netherlands
| | - Thibaut Hourlier
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus in Hinxton, Cambridgeshire, UK
| | - Kerstin Howe
- Tree of Life, Wellcome Sanger Institute, Cambridge, UK
| | - Jun Huang
- Department of Pharmacology, Addiction Science, and Toxicology, University of Tennessee Health Science Center, Memphis, TN, USA
| | - Ted Kalbfleisch
- Gluck Equine Research Center, Department of Veterinary Science, University of Kentucky, Louisville, KY, USA
| | - Panjun Kim
- Department of Genetics, Genomics and Informatics, University of Tennessee Health Science Center, Memphis, TN, USA
| | - Ling Li
- Department of Genetics, Genomics and Informatics, University of Tennessee Health Science Center, Memphis, TN, USA; Center for Proteomics and Metabolomics, St. Jude Children's Research Hospital, Memphis, TN, USA
| | - Spencer Mahaffey
- Department of Pharmaceutical Sciences, Skaggs School of Pharmacy and Pharmaceutical Sciences, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Fergal J Martin
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus in Hinxton, Cambridgeshire, UK
| | - Pejman Mohammadi
- Center for Immunity and Immunotherapies, Seattle Children's Research Institute, Seattle, WA, USA; Department of Pediatrics, University of Washington School of Medicine, Seattle, WA, USA
| | - Ayse Bilge Ozel
- Department of Human Genetics, University of Michigan, Ann Arbor, MI, USA
| | - Oksana Polesskaya
- Department of Psychiatry, University of California San Diego, San Diego, CA, USA
| | - Michal Pravenec
- Institute of Physiology, Czech Academy of Sciences, Prague, Czechia
| | - Pjotr Prins
- Department of Genetics, Genomics and Informatics, University of Tennessee Health Science Center, Memphis, TN, USA
| | - Jonathan Sebat
- Department of Psychiatry, University of California San Diego, San Diego, CA, USA
| | - Jennifer R Smith
- Department of Physiology, Medical College of Wisconsin, Milwaukee, WI, USA; Rat Genome Database, Medical College of Wisconsin, Milwaukee, WI, USA
| | - Leah C Solberg Woods
- Department of Internal Medicine, Section on Molecular Medicine, Wake Forest University School of Medicine, Winston-Salem, NC, USA
| | - Boris Tabakoff
- Department of Pharmaceutical Sciences, Skaggs School of Pharmacy and Pharmaceutical Sciences, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Alan Tracey
- Tree of Life, Wellcome Sanger Institute, Cambridge, UK
| | | | - Flavia Villani
- Department of Genetics, Genomics and Informatics, University of Tennessee Health Science Center, Memphis, TN, USA
| | - Hongyang Wang
- Department of Animal Sciences, Washington State University, Pullman, WA, USA
| | - Burt M Sharp
- Department of Genetics, Genomics and Informatics, University of Tennessee Health Science Center, Memphis, TN, USA
| | - Francesca Telese
- Department of Psychiatry, University of California San Diego, San Diego, CA, USA
| | - Zhihua Jiang
- Department of Animal Sciences, Washington State University, Pullman, WA, USA
| | - Laura Saba
- Department of Pharmaceutical Sciences, Skaggs School of Pharmacy and Pharmaceutical Sciences, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Xusheng Wang
- Department of Genetics, Genomics and Informatics, University of Tennessee Health Science Center, Memphis, TN, USA; Center for Proteomics and Metabolomics, St. Jude Children's Research Hospital, Memphis, TN, USA
| | - Terence D Murphy
- National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, MD, USA
| | - Abraham A Palmer
- Department of Psychiatry, University of California San Diego, San Diego, CA, USA; Institute for Genomic Medicine, University of California San Diego, La Jolla, CA, USA
| | - Anne E Kwitek
- Department of Physiology, Medical College of Wisconsin, Milwaukee, WI, USA; Rat Genome Database, Medical College of Wisconsin, Milwaukee, WI, USA
| | - Melinda R Dwinell
- Department of Physiology, Medical College of Wisconsin, Milwaukee, WI, USA; Rat Genome Database, Medical College of Wisconsin, Milwaukee, WI, USA
| | - Robert W Williams
- Department of Genetics, Genomics and Informatics, University of Tennessee Health Science Center, Memphis, TN, USA
| | - Jun Z Li
- Department of Human Genetics, University of Michigan, Ann Arbor, MI, USA.
| | - Hao Chen
- Department of Pharmacology, Addiction Science, and Toxicology, University of Tennessee Health Science Center, Memphis, TN, USA.
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Adams M, Vollmers C. Generation and analysis of a mouse multi-tissue genome annotation atlas. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.01.31.578267. [PMID: 38352519 PMCID: PMC10862843 DOI: 10.1101/2024.01.31.578267] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 02/24/2024]
Abstract
Generating an accurate and complete genome annotation for an organism is complex because the cells within each tissue can express a unique set of transcript isoforms from a unique set of genes. A comprehensive genome annotation should contain information on what tissues express what transcript isoforms at what level. This tissue-level isoform information can then inform a wide range of research questions as well as experiment designs. Long-read sequencing technology combined with advanced full-length cDNA library preparation methods has now achieved throughput and accuracy where generating these types of annotations is achievable. Here, we show this by generating a genome annotation of the mouse (Mus musculus). We used the nanopore-based R2C2 long-read sequencing method to generate 64 million highly accurate full length cDNA consensus reads - averaging 5.4 million reads per tissue for a dozen tissues. Using the Mandalorion tool we processed these reads to generate the Tissue-level Atlas of Mouse Isoforms (TAMI - available at https://genome.ucsc.edu/s/vollmers/TAMI) which we believe will be a valuable complement to conventional, manually curated reference genome annotations.
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Affiliation(s)
- Matthew Adams
- Department of Molecular, Cellular, and Developmental Biology, University of California Santa Cruz
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Ryazansky SS, Chen C, Potters M, Naumenko AN, Lukyanchikova V, Masri RA, Brusentsov II, Karagodin DA, Yurchenko AA, Dos Anjos VL, Haba Y, Rose NH, Hoffman J, Guo R, Menna T, Kelley M, Ferrill E, Schultz KE, Qi Y, Sharma A, Deschamps S, Llaca V, Mao C, Murphy TD, Baricheva EM, Emrich S, Fritz ML, Benoit JB, Sharakhov IV, McBride CS, Tu Z, Sharakhova MV. The chromosome-scale genome assembly for the West Nile vector Culex quinquefasciatus uncovers patterns of genome evolution in mosquitoes. BMC Biol 2024; 22:16. [PMID: 38273363 PMCID: PMC10809549 DOI: 10.1186/s12915-024-01825-0] [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: 08/25/2023] [Accepted: 01/11/2024] [Indexed: 01/27/2024] Open
Abstract
BACKGROUND Understanding genome organization and evolution is important for species involved in transmission of human diseases, such as mosquitoes. Anophelinae and Culicinae subfamilies of mosquitoes show striking differences in genome sizes, sex chromosome arrangements, behavior, and ability to transmit pathogens. However, the genomic basis of these differences is not fully understood. METHODS In this study, we used a combination of advanced genome technologies such as Oxford Nanopore Technology sequencing, Hi-C scaffolding, Bionano, and cytogenetic mapping to develop an improved chromosome-scale genome assembly for the West Nile vector Culex quinquefasciatus. RESULTS We then used this assembly to annotate odorant receptors, odorant binding proteins, and transposable elements. A genomic region containing male-specific sequences on chromosome 1 and a polymorphic inversion on chromosome 3 were identified in the Cx. quinquefasciatus genome. In addition, the genome of Cx. quinquefasciatus was compared with the genomes of other mosquitoes such as malaria vectors An. coluzzi and An. albimanus, and the vector of arboviruses Ae. aegypti. Our work confirms significant expansion of the two chemosensory gene families in Cx. quinquefasciatus, as well as a significant increase and relocation of the transposable elements in both Cx. quinquefasciatus and Ae. aegypti relative to the Anophelines. Phylogenetic analysis clarifies the divergence time between the mosquito species. Our study provides new insights into chromosomal evolution in mosquitoes and finds that the X chromosome of Anophelinae and the sex-determining chromosome 1 of Culicinae have a significantly higher rate of evolution than autosomes. CONCLUSION The improved Cx. quinquefasciatus genome assembly uncovered new details of mosquito genome evolution and has the potential to speed up the development of novel vector control strategies.
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Affiliation(s)
- Sergei S Ryazansky
- Department of Entomology, Virginia Polytechnic and State University, Blacksburg, VA, USA
- Department of Molecular Genetics of Cell, NRC "Kurchatov Institute", Moscow, Russia
| | - Chujia Chen
- Genetics, Bioinformatics, Computational Biology Program, Virginia Polytechnic and State University, Blacksburg, VA, USA
| | - Mark Potters
- Department of Biochemistry, Virginia Polytechnic and State University, Blacksburg, USA
| | - Anastasia N Naumenko
- Department of Entomology, Virginia Polytechnic and State University, Blacksburg, VA, USA
- Department of Entomology, University of Maryland, College Park, MD, USA
| | - Varvara Lukyanchikova
- Department of Entomology, Virginia Polytechnic and State University, Blacksburg, VA, USA
- Group of Genomic Mechanisms of Development, Institute of Cytology and Genetics, Novosibirsk, Russia
- Laboratory of Structural and Functional Genomics, Novosibirsk State University, Novosibirsk, Russia
| | - Reem A Masri
- Department of Entomology, Virginia Polytechnic and State University, Blacksburg, VA, USA
| | - Ilya I Brusentsov
- Department of Entomology, Virginia Polytechnic and State University, Blacksburg, VA, USA
- Laboratory of Cell Differentiation Mechanisms, Institute of Cytology and Genetics, Novosibirsk, Russia
| | - Dmitriy A Karagodin
- Laboratory of Cell Differentiation Mechanisms, Institute of Cytology and Genetics, Novosibirsk, Russia
| | - Andrey A Yurchenko
- Department of Entomology, Virginia Polytechnic and State University, Blacksburg, VA, USA
| | - Vitor L Dos Anjos
- Department of Ecology and Evolutionary Biology, Princeton University, Princeton, NJ, USA
| | - Yuki Haba
- Department of Ecology and Evolutionary Biology, Princeton University, Princeton, NJ, USA
| | - Noah H Rose
- Department of Ecology and Evolutionary Biology, Princeton University, Princeton, NJ, USA
| | - Jinna Hoffman
- National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, MD, 20894, USA
| | - Rong Guo
- Department of Entomology, University of Maryland, College Park, MD, USA
| | - Theresa Menna
- Department of Entomology, University of Maryland, College Park, MD, USA
| | - Melissa Kelley
- Department of Biological Sciences, University of Cincinnati, Cincinnati, OH, USA
| | - Emily Ferrill
- County of San Diego Vector Control Program, San Diego, CA, USA
| | - Karen E Schultz
- Mosquito and Vector Management District of Santa Barbara County, Santa Barbara, CA, USA
| | - Yumin Qi
- Department of Biochemistry, Virginia Polytechnic and State University, Blacksburg, USA
| | - Atashi Sharma
- Department of Biochemistry, Virginia Polytechnic and State University, Blacksburg, USA
| | | | | | - Chunhong Mao
- Biocomplexity Institute & Initiative University of Virginia, Charlottesville, VA, USA
| | - Terence D Murphy
- National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, MD, 20894, USA
| | - Elina M Baricheva
- Laboratory of Cell Differentiation Mechanisms, Institute of Cytology and Genetics, Novosibirsk, Russia
| | - Scott Emrich
- Department of Electrical Engineering & Computer Science, the University of Tennessee, Knoxville, TN, USA
| | - Megan L Fritz
- Department of Entomology, University of Maryland, College Park, MD, USA
| | - Joshua B Benoit
- Department of Biological Sciences, University of Cincinnati, Cincinnati, OH, USA
| | - Igor V Sharakhov
- Department of Entomology, Virginia Polytechnic and State University, Blacksburg, VA, USA
- Fralin Life Sciences Institute, Virginia Polytechnic and State University, Blacksburg, VA, USA
- Department of Genetics and Cell Biology, Tomsk State University, Tomsk, Russia
| | - Carolyn S McBride
- Department of Ecology and Evolutionary Biology, Princeton University, Princeton, NJ, USA
- Princeton Neuroscience Institute, Princeton University, Princeton, NJ, USA
| | - Zhijian Tu
- Genetics, Bioinformatics, Computational Biology Program, Virginia Polytechnic and State University, Blacksburg, VA, USA
- Department of Biochemistry, Virginia Polytechnic and State University, Blacksburg, USA
- Fralin Life Sciences Institute, Virginia Polytechnic and State University, Blacksburg, VA, USA
| | - Maria V Sharakhova
- Department of Entomology, Virginia Polytechnic and State University, Blacksburg, VA, USA.
- Laboratory of Cell Differentiation Mechanisms, Institute of Cytology and Genetics, Novosibirsk, Russia.
- Fralin Life Sciences Institute, Virginia Polytechnic and State University, Blacksburg, VA, USA.
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Bekkar A, Isorce N, Snäkä T, Claudinot S, Desponds C, Kopelyanskiy D, Prével F, Reverte M, Xenarios I, Fasel N, Teixeira F. Dissection of the macrophage response towards infection by the Leishmania-viral endosymbiont duo and dynamics of the type I interferon response. Front Cell Infect Microbiol 2022; 12:941888. [PMID: 35992159 PMCID: PMC9386148 DOI: 10.3389/fcimb.2022.941888] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/11/2022] [Accepted: 07/01/2022] [Indexed: 11/25/2022] Open
Abstract
Leishmania RNA virus 1 (LRV1) is a double-stranded RNA virus found in some strains of the human protozoan parasite Leishmania, the causative agent of leishmaniasis, a neglected tropical disease. Interestingly, the presence of LRV1 inside Leishmania constitutes an important virulence factor that worsens the leishmaniasis outcome in a type I interferon (IFN)–dependent manner and contributes to treatment failure. Understanding how macrophages respond toward Leishmania alone or in combination with LRV1 as well as the role that type I IFNs may play during infection is fundamental to oversee new therapeutic strategies. To dissect the macrophage response toward infection, RNA sequencing was performed on murine wild-type and Ifnar-deficient bone marrow–derived macrophages infected with Leishmania guyanensis (Lgy) devoid or not of LRV1. Additionally, macrophages were treated with poly I:C (mimetic virus) or with type I IFNs. By implementing a weighted gene correlation network analysis, the groups of genes (modules) with similar expression patterns, for example, functionally related, coregulated, or the members of the same functional pathway, were identified. These modules followed patterns dependent on Leishmania, LRV1, or Leishmania exacerbated by the presence of LRV1. Not only the visualization of how individual genes were embedded to form modules but also how different modules were related to each other were observed. Thus, in the context of the observed hyperinflammatory phenotype associated to the presence of LRV1, it was noted that the biomarkers tumor-necrosis factor α (TNF-α) and the interleukin 6 (IL-6) belonged to different modules and that their regulating specific Src-family kinases were segregated oppositely. In addition, this network approach revealed the strong and sustained effect of LRV1 on the macrophage response and genes that had an early, late, or sustained impact during infection, uncovering the dynamics of the IFN response. Overall, this study contributed to shed light and dissect the intricate macrophage response toward infection by the Leishmania-LRV1 duo and revealed the crosstalk between modules made of coregulated genes and provided a new resource that can be further explored to study the impact of Leishmania on the macrophage response.
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Affiliation(s)
- Amel Bekkar
- Department of Immunobiology, University of Lausanne, Epalinges, Switzerland
| | - Nathalie Isorce
- Department of Immunobiology, University of Lausanne, Epalinges, Switzerland
| | - Tiia Snäkä
- Department of Immunobiology, University of Lausanne, Epalinges, Switzerland
| | | | - Chantal Desponds
- Department of Immunobiology, University of Lausanne, Epalinges, Switzerland
| | | | - Florence Prével
- Department of Immunobiology, University of Lausanne, Epalinges, Switzerland
| | - Marta Reverte
- Department of Immunobiology, University of Lausanne, Epalinges, Switzerland
| | - Ioannis Xenarios
- Agora Center, Center Hospitalier Universitaire (CHUV), Lausanne, Switzerland
- Center for Integrative Genomics, University of Lausanne, Lausanne, Switzerland
| | - Nicolas Fasel
- Department of Immunobiology, University of Lausanne, Epalinges, Switzerland
- *Correspondence: Nicolas Fasel, ; Filipa Teixeira,
| | - Filipa Teixeira
- Department of Immunobiology, University of Lausanne, Epalinges, Switzerland
- *Correspondence: Nicolas Fasel, ; Filipa Teixeira,
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Schon MA, Lutzmayer S, Hofmann F, Nodine MD. Bookend: precise transcript reconstruction with end-guided assembly. Genome Biol 2022; 23:143. [PMID: 35768836 PMCID: PMC9245221 DOI: 10.1186/s13059-022-02700-3] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/06/2021] [Accepted: 06/05/2022] [Indexed: 12/29/2022] Open
Abstract
We developed Bookend, a package for transcript assembly that incorporates data from different RNA-seq techniques, with a focus on identifying and utilizing RNA 5′ and 3′ ends. We demonstrate that correct identification of transcript start and end sites is essential for precise full-length transcript assembly. Utilization of end-labeled reads present in full-length single-cell RNA-seq datasets dramatically improves the precision of transcript assembly in single cells. Finally, we show that hybrid assembly across short-read, long-read, and end-capture RNA-seq datasets from Arabidopsis thaliana, as well as meta-assembly of RNA-seq from single mouse embryonic stem cells, can produce reference-quality end-to-end transcript annotations.
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Affiliation(s)
- Michael A Schon
- Cluster of Plant Developmental Biology, Laboratory of Molecular Biology, Wageningen University & Research, Wageningen, 6708, PB, The Netherlands. .,Gregor Mendel Institute (GMI), Austrian Academy of Sciences, Vienna Biocenter (VBC), Dr. Bohr-Gasse 3, 1030, Vienna, Austria.
| | - Stefan Lutzmayer
- Gregor Mendel Institute (GMI), Austrian Academy of Sciences, Vienna Biocenter (VBC), Dr. Bohr-Gasse 3, 1030, Vienna, Austria
| | - Falko Hofmann
- Gregor Mendel Institute (GMI), Austrian Academy of Sciences, Vienna Biocenter (VBC), Dr. Bohr-Gasse 3, 1030, Vienna, Austria
| | - Michael D Nodine
- Cluster of Plant Developmental Biology, Laboratory of Molecular Biology, Wageningen University & Research, Wageningen, 6708, PB, The Netherlands. .,Gregor Mendel Institute (GMI), Austrian Academy of Sciences, Vienna Biocenter (VBC), Dr. Bohr-Gasse 3, 1030, Vienna, Austria.
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Long H, Reeves R, Simon MM. Mouse genomic and cellular annotations. Mamm Genome 2022; 33:19-30. [PMID: 35124726 PMCID: PMC8913471 DOI: 10.1007/s00335-021-09936-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/28/2021] [Accepted: 11/22/2021] [Indexed: 11/28/2022]
Abstract
AbstractMice have emerged as one of the most popular and valuable model organisms in the research of human biology. This is due to their genetic and physiological similarity to humans, short generation times, availability of genetically homologous inbred strains, and relatively easy laboratory maintenance. Therefore, following the release of the initial human reference genome, the generation of the mouse reference genome was prioritised and represented an important scientific resource for the mouse genetics community. In 2002, the Mouse Genome Sequencing Consortium published an initial draft of the mouse reference genome which contained ~ 96% of the euchromatic genome of female C57BL/6 J mice. Almost two decades on from the publication of the initial draft, sequencing efforts have continued to increase the completeness and accuracy of the C57BL/6 J reference genome alongside advances in genome annotation. Additionally new sequencing technologies have provided a wealth of data that has added to the repertoire of annotations associated with traditional genomic annotations. Including but not limited to advances in regulatory elements, the 3D genome and individual cellular states. In this review we focus on the reference genome C57BL/6 J and summarise the different aspects of genomic and cellular annotations, as well as their relevance to mouse genetic research. We denote a genomic annotation as a functional unit of the genome. Cellular annotations are annotations of cell type or state, defined by the transcriptomic expression profile of a cell. Due to the wide-ranging number and diversity of annotations describing the mouse genome, we focus on gene, repeat and regulatory element annotation as well as two relatively new technologies; 3D genome architecture and single-cell sequencing outlining their utility in genetic research and their current challenges.
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Affiliation(s)
- Helen Long
- MRC Harwell Institute, Mammalian Genetics Unit, Harwell Campus, Oxfordshire, OX11 0RD, UK
- Nuffield Department of Medicine, University of Oxford, Oxford, UK
| | - Richard Reeves
- MRC Harwell Institute, Mammalian Genetics Unit, Harwell Campus, Oxfordshire, OX11 0RD, UK
| | - Michelle M Simon
- MRC Harwell Institute, Mammalian Genetics Unit, Harwell Campus, Oxfordshire, OX11 0RD, UK.
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Farrell CM, Goldfarb T, Rangwala SH, Astashyn A, Ermolaeva OD, Hem V, Katz KS, Kodali VK, Ludwig F, Wallin CL, Pruitt KD, Murphy TD. RefSeq Functional Elements as experimentally assayed nongenic reference standards and functional interactions in human and mouse. Genome Res 2021; 32:175-188. [PMID: 34876495 PMCID: PMC8744684 DOI: 10.1101/gr.275819.121] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/26/2021] [Accepted: 12/02/2021] [Indexed: 11/25/2022]
Abstract
Eukaryotic genomes contain many nongenic elements that function in gene regulation, chromosome organization, recombination, repair, or replication, and mutation of those elements can affect genome function and cause disease. Although numerous epigenomic studies provide high coverage of gene regulatory regions, those data are not usually exposed in traditional genome annotation and can be difficult to access and interpret without field-specific expertise. The National Center for Biotechnology Information (NCBI) therefore provides RefSeq Functional Elements (RefSeqFEs), which represent experimentally validated human and mouse nongenic elements derived from the literature. The curated data set is comprised of richly annotated sequence records, descriptive records in the NCBI Gene database, reference genome feature annotation, and activity-based interactions between nongenic regions, target genes, and each other. The data set provides succinct functional details and transparent experimental evidence, leverages data from multiple experimental sources, is readily accessible and adaptable, and uses a flexible data model. The data have multiple uses for basic functional discovery, bioinformatics studies, genetic variant interpretation; as known positive controls for epigenomic data evaluation; and as reference standards for functional interactions. Comparisons to other gene regulatory data sets show that the RefSeqFE data set includes a wider range of feature types representing more areas of biology, but it is comparatively smaller and subject to data selection biases. RefSeqFEs thus provide an alternative and complementary resource for experimentally assayed functional elements, with future data set growth expected.
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Affiliation(s)
- Catherine M Farrell
- National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, Maryland 20894, USA
| | - Tamara Goldfarb
- National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, Maryland 20894, USA
| | - Sanjida H Rangwala
- National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, Maryland 20894, USA
| | - Alexander Astashyn
- National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, Maryland 20894, USA
| | - Olga D Ermolaeva
- National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, Maryland 20894, USA
| | - Vichet Hem
- National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, Maryland 20894, USA
| | - Kenneth S Katz
- National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, Maryland 20894, USA
| | - Vamsi K Kodali
- National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, Maryland 20894, USA
| | - Frank Ludwig
- National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, Maryland 20894, USA
| | - Craig L Wallin
- National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, Maryland 20894, USA
| | - Kim D Pruitt
- National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, Maryland 20894, USA
| | - Terence D Murphy
- National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, Maryland 20894, USA
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Ijoma GN, Heri SM, Matambo TS, Tekere M. Trends and Applications of Omics Technologies to Functional Characterisation of Enzymes and Protein Metabolites Produced by Fungi. J Fungi (Basel) 2021; 7:700. [PMID: 34575737 PMCID: PMC8464691 DOI: 10.3390/jof7090700] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/22/2021] [Revised: 08/19/2021] [Accepted: 08/23/2021] [Indexed: 12/14/2022] Open
Abstract
Identifying and adopting industrial applications for proteins and enzymes derived from fungi strains have been at the focal point of several studies in recent times. To facilitate such studies, it is necessary that advancements and innovation in mycological and molecular characterisation are concomitant. This review aims to provide a detailed overview of the necessary steps employed in both qualitative and quantitative research using the omics technologies that are pertinent to fungi characterisation. This stems from the understanding that data provided from the functional characterisation of fungi and their metabolites is important towards the techno-economic feasibility of large-scale production of biological products. The review further describes how the functional gaps left by genomics, internal transcribe spacer (ITS) regions are addressed by transcriptomics and the various techniques and platforms utilised, including quantitive reverse transcription polymerase chain reaction (RT-qPCR), hybridisation techniques, and RNA-seq, and the insights such data provide on the effect of environmental changes on fungal enzyme production from an expressional standpoint. The review also offers information on the many available bioinformatics tools of analysis necessary for the analysis of the overwhelming data synonymous with the omics approach to fungal characterisation.
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Affiliation(s)
- Grace N. Ijoma
- Institute for the Development of Energy for African Sustainability (IDEAS), College of Science, Engineering and Technology, University of South Africa, P.O. Box 392, UNISA, Pretoria 0001, South Africa; (S.M.H.); (T.S.M.)
| | - Sylvie M. Heri
- Institute for the Development of Energy for African Sustainability (IDEAS), College of Science, Engineering and Technology, University of South Africa, P.O. Box 392, UNISA, Pretoria 0001, South Africa; (S.M.H.); (T.S.M.)
| | - Tonderayi S. Matambo
- Institute for the Development of Energy for African Sustainability (IDEAS), College of Science, Engineering and Technology, University of South Africa, P.O. Box 392, UNISA, Pretoria 0001, South Africa; (S.M.H.); (T.S.M.)
| | - Memory Tekere
- Department of Environmental Science, College of Agricultural and Environmental Science, University of South Africa, P.O. Box 392, UNISA, Pretoria 0001, South Africa;
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9
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Essig K, Kronbeck N, Guimaraes JC, Lohs C, Schlundt A, Hoffmann A, Behrens G, Brenner S, Kowalska J, Lopez-Rodriguez C, Jemielity J, Holtmann H, Reiche K, Hackermüller J, Sattler M, Zavolan M, Heissmeyer V. Roquin targets mRNAs in a 3'-UTR-specific manner by different modes of regulation. Nat Commun 2018; 9:3810. [PMID: 30232334 PMCID: PMC6145892 DOI: 10.1038/s41467-018-06184-3] [Citation(s) in RCA: 32] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/12/2018] [Accepted: 08/14/2018] [Indexed: 12/12/2022] Open
Abstract
The RNA-binding proteins Roquin-1 and Roquin-2 redundantly control gene expression and cell-fate decisions. Here, we show that Roquin not only interacts with stem–loop structures, but also with a linear sequence element present in about half of its targets. Comprehensive analysis of a minimal response element of the Nfkbid 3′-UTR shows that six stem–loop structures cooperate to exert robust and profound post-transcriptional regulation. Only binding of multiple Roquin proteins to several stem–loops exerts full repression, which redundantly involved deadenylation and decapping, but also translational inhibition. Globally, most Roquin targets are regulated by mRNA decay, whereas a small subset, including the Nfat5 mRNA, with more binding sites in their 3′-UTRs, are also subject to translational inhibition. These findings provide insights into how the robustness and magnitude of Roquin-mediated regulation is encoded in complex cis-elements. Roquin targets are known to contain two types of sequence-structure motifs, the constitutive and the alternative decay elements (CDE and ADE). Here, the authors describe a linear Roquin binding element (LBE) also involved in target recognition, and show that Roquin binding affects the translation of a subset of targeted mRNAs.
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Affiliation(s)
- Katharina Essig
- Institute for Immunology at the Biomedical Center, Ludwig-Maximilians-Universität München, 82152, Planegg-Martinsried, Germany
| | - Nina Kronbeck
- Institute for Immunology at the Biomedical Center, Ludwig-Maximilians-Universität München, 82152, Planegg-Martinsried, Germany
| | - Joao C Guimaraes
- Computational and Systems Biology, Biozentrum, University of Basel, 4056, Basel, Switzerland
| | - Claudia Lohs
- Research Unit Molecular Immune Regulation, Helmholtz Zentrum München, 81377, München, Germany
| | - Andreas Schlundt
- Institute of Structural Biology, Helmholtz Zentrum München, 85764, Neuherberg, Germany.,Center for Integrated Protein Science Munich at Biomolecular NMR Spectroscopy, Department Chemie, Technische Universität München, 85748, Garching, Germany
| | - Anne Hoffmann
- Young Investigators Group Bioinformatics and Transcriptomics, Department Molecular Systems Biology, Helmholtz Centre for Environmental Research-UFZ, Leipzig, Germany.,Bioinformatics Group, Department of Computer Science, and Interdisciplinary Center of Bioinformatics, Leipzig University, Härtelstraße 16-18, 04107, Leipzig, Germany
| | - Gesine Behrens
- Institute for Immunology at the Biomedical Center, Ludwig-Maximilians-Universität München, 82152, Planegg-Martinsried, Germany
| | - Sven Brenner
- Research Unit Molecular Immune Regulation, Helmholtz Zentrum München, 81377, München, Germany
| | - Joanna Kowalska
- Division of Biophysics, Institute of Experimental Physics, Faculty of Physics, University of Warsaw, 02-089, Warsaw, Poland
| | - Cristina Lopez-Rodriguez
- Immunology Unit, Department of Experimental and Health Sciences, Pompeu Fabra University, 08003, Barcelona, Spain
| | - Jacek Jemielity
- Centre of New Technologies, University of Warsaw, 02-097, Warsaw, Poland
| | - Helmut Holtmann
- Institute of Biochemistry, Hannover Medical School, 30623, Hannover, Germany
| | - Kristin Reiche
- Young Investigators Group Bioinformatics and Transcriptomics, Department Molecular Systems Biology, Helmholtz Centre for Environmental Research-UFZ, Leipzig, Germany.,Bioinformatics Unit, Department of Diagnostics, Fraunhofer Institute for Cell Therapy and Immunology-IZI, Leipzig, Germany
| | - Jörg Hackermüller
- Young Investigators Group Bioinformatics and Transcriptomics, Department Molecular Systems Biology, Helmholtz Centre for Environmental Research-UFZ, Leipzig, Germany
| | - Michael Sattler
- Institute of Structural Biology, Helmholtz Zentrum München, 85764, Neuherberg, Germany.,Center for Integrated Protein Science Munich at Biomolecular NMR Spectroscopy, Department Chemie, Technische Universität München, 85748, Garching, Germany
| | - Mihaela Zavolan
- Computational and Systems Biology, Biozentrum, University of Basel, 4056, Basel, Switzerland.
| | - Vigo Heissmeyer
- Institute for Immunology at the Biomedical Center, Ludwig-Maximilians-Universität München, 82152, Planegg-Martinsried, Germany. .,Research Unit Molecular Immune Regulation, Helmholtz Zentrum München, 81377, München, Germany.
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10
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Zeiss CJ, Brayton CF. Immune responses to the real world. Lab Anim (NY) 2018; 47:13-14. [DOI: 10.1038/laban.1384] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/21/2017] [Accepted: 11/20/2017] [Indexed: 01/19/2023]
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11
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Kurotani A, Yamada Y, Sakurai T. Alga-PrAS (Algal Protein Annotation Suite): A Database of Comprehensive Annotation in Algal Proteomes. PLANT & CELL PHYSIOLOGY 2017; 58:e6. [PMID: 28069893 PMCID: PMC5444574 DOI: 10.1093/pcp/pcw212] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 09/05/2016] [Accepted: 11/24/2016] [Indexed: 06/06/2023]
Abstract
Algae are smaller organisms than land plants and offer clear advantages in research over terrestrial species in terms of rapid production, short generation time and varied commercial applications. Thus, studies investigating the practical development of effective algal production are important and will improve our understanding of both aquatic and terrestrial plants. In this study we estimated multiple physicochemical and secondary structural properties of protein sequences, the predicted presence of post-translational modification (PTM) sites, and subcellular localization using a total of 510,123 protein sequences from the proteomes of 31 algal and three plant species. Algal species were broadly selected from green and red algae, glaucophytes, oomycetes, diatoms and other microalgal groups. The results were deposited in the Algal Protein Annotation Suite database (Alga-PrAS; http://alga-pras.riken.jp/), which can be freely accessed online.
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Affiliation(s)
- Atsushi Kurotani
- RIKEN Center for Sustainable Resource Science, 1-7-22 Suehiro, Tsurumi, Yokohama, Kanagawa, 230-0045, Japan
| | - Yutaka Yamada
- RIKEN Center for Sustainable Resource Science, 1-7-22 Suehiro, Tsurumi, Yokohama, Kanagawa, 230-0045, Japan
| | - Tetsuya Sakurai
- RIKEN Center for Sustainable Resource Science, 1-7-22 Suehiro, Tsurumi, Yokohama, Kanagawa, 230-0045, Japan
- Interdisciplinary Science Unit, Multidisciplinary Science Cluster, Research and Education Faculty, Kochi University, 200 Otsu, Monobe, Nankoku, Kochi, 783-8502, Japan
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12
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Abstract
A genome sequence is worthless if it cannot be deciphered; therefore, efforts to describe - or 'annotate' - genes began as soon as DNA sequences became available. Whereas early work focused on individual protein-coding genes, the modern genomic ocean is a complex maelstrom of alternative splicing, non-coding transcription and pseudogenes. Scientists - from clinicians to evolutionary biologists - need to navigate these waters, and this has led to the design of high-throughput, computationally driven annotation projects. The catalogues that are being produced are key resources for genome exploration, especially as they become integrated with expression, epigenomic and variation data sets. Their creation, however, remains challenging.
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Affiliation(s)
- Jonathan M Mudge
- Department of Computational Genomics, Wellcome Trust Sanger Institute, Hinxton CB10 1SA, UK
| | - Jennifer Harrow
- Department of Computational Genomics, Wellcome Trust Sanger Institute, Hinxton CB10 1SA, UK.,Illumina Cambridge Ltd, Chesterford Research Park, Little Chesterford, Saffron Walden CB10 1 XL, UK
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13
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Tkatchenko AV, Luo X, Tkatchenko TV, Vaz C, Tanavde VM, Maurer-Stroh S, Zauscher S, Gonzalez P, Young TL. Large-Scale microRNA Expression Profiling Identifies Putative Retinal miRNA-mRNA Signaling Pathways Underlying Form-Deprivation Myopia in Mice. PLoS One 2016; 11:e0162541. [PMID: 27622715 PMCID: PMC5021328 DOI: 10.1371/journal.pone.0162541] [Citation(s) in RCA: 32] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/24/2016] [Accepted: 08/24/2016] [Indexed: 12/16/2022] Open
Abstract
Development of myopia is associated with large-scale changes in ocular tissue gene expression. Although differential expression of coding genes underlying development of myopia has been a subject of intense investigation, the role of non-coding genes such as microRNAs in the development of myopia is largely unknown. In this study, we explored myopia-associated miRNA expression profiles in the retina and sclera of C57Bl/6J mice with experimentally induced myopia using microarray technology. We found a total of 53 differentially expressed miRNAs in the retina and no differences in miRNA expression in the sclera of C57BL/6J mice after 10 days of visual form deprivation, which induced -6.93 ± 2.44 D (p < 0.000001, n = 12) of myopia. We also identified their putative mRNA targets among mRNAs found to be differentially expressed in myopic retina and potential signaling pathways involved in the development of form-deprivation myopia using miRNA-mRNA interaction network analysis. Analysis of myopia-associated signaling pathways revealed that myopic response to visual form deprivation in the retina is regulated by a small number of highly integrated signaling pathways. Our findings highlighted that changes in microRNA expression are involved in the regulation of refractive eye development and predicted how they may be involved in the development of myopia by regulating retinal gene expression.
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Affiliation(s)
- Andrei V. Tkatchenko
- Department of Ophthalmology, College of Physicians and Surgeons, Columbia University, New York, New York, United States of America
- Department of Pathology and Cell Biology, College of Physicians and Surgeons, Columbia University, New York, New York, United States of America
- * E-mail: (AVT); (TLY)
| | - Xiaoyan Luo
- Department of Ophthalmology, School of Medicine, Duke University, Durham, North Carolina, United States of America
- Center for Human Genetics, School of Medicine, Duke University, Durham, North Carolina, United States of America
| | - Tatiana V. Tkatchenko
- Department of Ophthalmology, College of Physicians and Surgeons, Columbia University, New York, New York, United States of America
| | - Candida Vaz
- Bioinformatics Institute, Agency for Science Technology and Research, Singapore, Singapore
| | - Vivek M. Tanavde
- Bioinformatics Institute, Agency for Science Technology and Research, Singapore, Singapore
- Institute for Medical Biology, A*STAR, Singapore, Singapore
| | - Sebastian Maurer-Stroh
- Bioinformatics Institute, Agency for Science Technology and Research, Singapore, Singapore
| | - Stefan Zauscher
- Department of Mechanical Engineering and Materials Science, Pratt School of Engineering, Duke University, Durham, North Carolina, United States of America
| | - Pedro Gonzalez
- Department of Ophthalmology, School of Medicine, Duke University, Durham, North Carolina, United States of America
| | - Terri L. Young
- Department of Ophthalmology and Visual Sciences, School of Medicine and Public Health, University of Wisconsin, Madison, Wisconsin, United States of America
- * E-mail: (AVT); (TLY)
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14
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O'Leary NA, Wright MW, Brister JR, Ciufo S, Haddad D, McVeigh R, Rajput B, Robbertse B, Smith-White B, Ako-Adjei D, Astashyn A, Badretdin A, Bao Y, Blinkova O, Brover V, Chetvernin V, Choi J, Cox E, Ermolaeva O, Farrell CM, Goldfarb T, Gupta T, Haft D, Hatcher E, Hlavina W, Joardar VS, Kodali VK, Li W, Maglott D, Masterson P, McGarvey KM, Murphy MR, O'Neill K, Pujar S, Rangwala SH, Rausch D, Riddick LD, Schoch C, Shkeda A, Storz SS, Sun H, Thibaud-Nissen F, Tolstoy I, Tully RE, Vatsan AR, Wallin C, Webb D, Wu W, Landrum MJ, Kimchi A, Tatusova T, DiCuccio M, Kitts P, Murphy TD, Pruitt KD. Reference sequence (RefSeq) database at NCBI: current status, taxonomic expansion, and functional annotation. Nucleic Acids Res 2015; 44:D733-45. [PMID: 26553804 PMCID: PMC4702849 DOI: 10.1093/nar/gkv1189] [Citation(s) in RCA: 3511] [Impact Index Per Article: 390.1] [Reference Citation Analysis] [Abstract] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2015] [Accepted: 10/24/2015] [Indexed: 12/12/2022] Open
Abstract
The RefSeq project at the National Center for Biotechnology Information (NCBI) maintains and curates a publicly available database of annotated genomic, transcript, and protein sequence records (http://www.ncbi.nlm.nih.gov/refseq/). The RefSeq project leverages the data submitted to the International Nucleotide Sequence Database Collaboration (INSDC) against a combination of computation, manual curation, and collaboration to produce a standard set of stable, non-redundant reference sequences. The RefSeq project augments these reference sequences with current knowledge including publications, functional features and informative nomenclature. The database currently represents sequences from more than 55,000 organisms (>4800 viruses, >40,000 prokaryotes and >10,000 eukaryotes; RefSeq release 71), ranging from a single record to complete genomes. This paper summarizes the current status of the viral, prokaryotic, and eukaryotic branches of the RefSeq project, reports on improvements to data access and details efforts to further expand the taxonomic representation of the collection. We also highlight diverse functional curation initiatives that support multiple uses of RefSeq data including taxonomic validation, genome annotation, comparative genomics, and clinical testing. We summarize our approach to utilizing available RNA-Seq and other data types in our manual curation process for vertebrate, plant, and other species, and describe a new direction for prokaryotic genomes and protein name management.
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Affiliation(s)
- Nuala A O'Leary
- National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Building 38A, 8600 Rockville Pike, Bethesda, MD 20894, USA
| | - Mathew W Wright
- National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Building 38A, 8600 Rockville Pike, Bethesda, MD 20894, USA
| | - J Rodney Brister
- National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Building 38A, 8600 Rockville Pike, Bethesda, MD 20894, USA
| | - Stacy Ciufo
- National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Building 38A, 8600 Rockville Pike, Bethesda, MD 20894, USA
| | - Diana Haddad
- National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Building 38A, 8600 Rockville Pike, Bethesda, MD 20894, USA
| | - Rich McVeigh
- National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Building 38A, 8600 Rockville Pike, Bethesda, MD 20894, USA
| | - Bhanu Rajput
- National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Building 38A, 8600 Rockville Pike, Bethesda, MD 20894, USA
| | - Barbara Robbertse
- National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Building 38A, 8600 Rockville Pike, Bethesda, MD 20894, USA
| | - Brian Smith-White
- National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Building 38A, 8600 Rockville Pike, Bethesda, MD 20894, USA
| | - Danso Ako-Adjei
- National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Building 38A, 8600 Rockville Pike, Bethesda, MD 20894, USA
| | - Alexander Astashyn
- National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Building 38A, 8600 Rockville Pike, Bethesda, MD 20894, USA
| | - Azat Badretdin
- National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Building 38A, 8600 Rockville Pike, Bethesda, MD 20894, USA
| | - Yiming Bao
- National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Building 38A, 8600 Rockville Pike, Bethesda, MD 20894, USA
| | - Olga Blinkova
- National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Building 38A, 8600 Rockville Pike, Bethesda, MD 20894, USA
| | - Vyacheslav Brover
- National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Building 38A, 8600 Rockville Pike, Bethesda, MD 20894, USA
| | - Vyacheslav Chetvernin
- National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Building 38A, 8600 Rockville Pike, Bethesda, MD 20894, USA
| | - Jinna Choi
- National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Building 38A, 8600 Rockville Pike, Bethesda, MD 20894, USA
| | - Eric Cox
- National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Building 38A, 8600 Rockville Pike, Bethesda, MD 20894, USA
| | - Olga Ermolaeva
- National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Building 38A, 8600 Rockville Pike, Bethesda, MD 20894, USA
| | - Catherine M Farrell
- National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Building 38A, 8600 Rockville Pike, Bethesda, MD 20894, USA
| | - Tamara Goldfarb
- National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Building 38A, 8600 Rockville Pike, Bethesda, MD 20894, USA
| | - Tripti Gupta
- National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Building 38A, 8600 Rockville Pike, Bethesda, MD 20894, USA
| | - Daniel Haft
- National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Building 38A, 8600 Rockville Pike, Bethesda, MD 20894, USA
| | - Eneida Hatcher
- National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Building 38A, 8600 Rockville Pike, Bethesda, MD 20894, USA
| | - Wratko Hlavina
- National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Building 38A, 8600 Rockville Pike, Bethesda, MD 20894, USA
| | - Vinita S Joardar
- National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Building 38A, 8600 Rockville Pike, Bethesda, MD 20894, USA
| | - Vamsi K Kodali
- National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Building 38A, 8600 Rockville Pike, Bethesda, MD 20894, USA
| | - Wenjun Li
- National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Building 38A, 8600 Rockville Pike, Bethesda, MD 20894, USA
| | - Donna Maglott
- National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Building 38A, 8600 Rockville Pike, Bethesda, MD 20894, USA
| | - Patrick Masterson
- National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Building 38A, 8600 Rockville Pike, Bethesda, MD 20894, USA
| | - Kelly M McGarvey
- National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Building 38A, 8600 Rockville Pike, Bethesda, MD 20894, USA
| | - Michael R Murphy
- National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Building 38A, 8600 Rockville Pike, Bethesda, MD 20894, USA
| | - Kathleen O'Neill
- National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Building 38A, 8600 Rockville Pike, Bethesda, MD 20894, USA
| | - Shashikant Pujar
- National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Building 38A, 8600 Rockville Pike, Bethesda, MD 20894, USA
| | - Sanjida H Rangwala
- National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Building 38A, 8600 Rockville Pike, Bethesda, MD 20894, USA
| | - Daniel Rausch
- National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Building 38A, 8600 Rockville Pike, Bethesda, MD 20894, USA
| | - Lillian D Riddick
- National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Building 38A, 8600 Rockville Pike, Bethesda, MD 20894, USA
| | - Conrad Schoch
- National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Building 38A, 8600 Rockville Pike, Bethesda, MD 20894, USA
| | - Andrei Shkeda
- National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Building 38A, 8600 Rockville Pike, Bethesda, MD 20894, USA
| | - Susan S Storz
- National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Building 38A, 8600 Rockville Pike, Bethesda, MD 20894, USA
| | - Hanzhen Sun
- National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Building 38A, 8600 Rockville Pike, Bethesda, MD 20894, USA
| | - Francoise Thibaud-Nissen
- National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Building 38A, 8600 Rockville Pike, Bethesda, MD 20894, USA
| | - Igor Tolstoy
- National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Building 38A, 8600 Rockville Pike, Bethesda, MD 20894, USA
| | - Raymond E Tully
- National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Building 38A, 8600 Rockville Pike, Bethesda, MD 20894, USA
| | - Anjana R Vatsan
- National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Building 38A, 8600 Rockville Pike, Bethesda, MD 20894, USA
| | - Craig Wallin
- National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Building 38A, 8600 Rockville Pike, Bethesda, MD 20894, USA
| | - David Webb
- National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Building 38A, 8600 Rockville Pike, Bethesda, MD 20894, USA
| | - Wendy Wu
- National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Building 38A, 8600 Rockville Pike, Bethesda, MD 20894, USA
| | - Melissa J Landrum
- National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Building 38A, 8600 Rockville Pike, Bethesda, MD 20894, USA
| | - Avi Kimchi
- National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Building 38A, 8600 Rockville Pike, Bethesda, MD 20894, USA
| | - Tatiana Tatusova
- National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Building 38A, 8600 Rockville Pike, Bethesda, MD 20894, USA
| | - Michael DiCuccio
- National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Building 38A, 8600 Rockville Pike, Bethesda, MD 20894, USA
| | - Paul Kitts
- National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Building 38A, 8600 Rockville Pike, Bethesda, MD 20894, USA
| | - Terence D Murphy
- National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Building 38A, 8600 Rockville Pike, Bethesda, MD 20894, USA
| | - Kim D Pruitt
- National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Building 38A, 8600 Rockville Pike, Bethesda, MD 20894, USA
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