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JGI Plant Gene Atlas: an updateable transcriptome resource to improve functional gene descriptions across the plant kingdom
Gene functional descriptions offer a crucial line of evidence for candidate genes underlying trait variation. Conversely, plant responses to environmental cues represent important resources to decipher gene function and subsequently provide molecular targets for plant improvement through gene editin...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10484672/ https://www.ncbi.nlm.nih.gov/pubmed/37526283 http://dx.doi.org/10.1093/nar/gkad616 |
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author | Sreedasyam, Avinash Plott, Christopher Hossain, Md Shakhawat Lovell, John T Grimwood, Jane Jenkins, Jerry W Daum, Christopher Barry, Kerrie Carlson, Joseph Shu, Shengqiang Phillips, Jeremy Amirebrahimi, Mojgan Zane, Matthew Wang, Mei Goodstein, David Haas, Fabian B Hiss, Manuel Perroud, Pierre-François Jawdy, Sara S Yang, Yongil Hu, Rongbin Johnson, Jenifer Kropat, Janette Gallaher, Sean D Lipzen, Anna Shakirov, Eugene V Weng, Xiaoyu Torres-Jerez, Ivone Weers, Brock Conde, Daniel Pappas, Marilia R Liu, Lifeng Muchlinski, Andrew Jiang, Hui Shyu, Christine Huang, Pu Sebastian, Jose Laiben, Carol Medlin, Alyssa Carey, Sankalpi Carrell, Alyssa A Chen, Jin-Gui Perales, Mariano Swaminathan, Kankshita Allona, Isabel Grattapaglia, Dario Cooper, Elizabeth A Tholl, Dorothea Vogel, John P Weston, David J Yang, Xiaohan Brutnell, Thomas P Kellogg, Elizabeth A Baxter, Ivan Udvardi, Michael Tang, Yuhong Mockler, Todd C Juenger, Thomas E Mullet, John Rensing, Stefan A Tuskan, Gerald A Merchant, Sabeeha S Stacey, Gary Schmutz, Jeremy |
author_facet | Sreedasyam, Avinash Plott, Christopher Hossain, Md Shakhawat Lovell, John T Grimwood, Jane Jenkins, Jerry W Daum, Christopher Barry, Kerrie Carlson, Joseph Shu, Shengqiang Phillips, Jeremy Amirebrahimi, Mojgan Zane, Matthew Wang, Mei Goodstein, David Haas, Fabian B Hiss, Manuel Perroud, Pierre-François Jawdy, Sara S Yang, Yongil Hu, Rongbin Johnson, Jenifer Kropat, Janette Gallaher, Sean D Lipzen, Anna Shakirov, Eugene V Weng, Xiaoyu Torres-Jerez, Ivone Weers, Brock Conde, Daniel Pappas, Marilia R Liu, Lifeng Muchlinski, Andrew Jiang, Hui Shyu, Christine Huang, Pu Sebastian, Jose Laiben, Carol Medlin, Alyssa Carey, Sankalpi Carrell, Alyssa A Chen, Jin-Gui Perales, Mariano Swaminathan, Kankshita Allona, Isabel Grattapaglia, Dario Cooper, Elizabeth A Tholl, Dorothea Vogel, John P Weston, David J Yang, Xiaohan Brutnell, Thomas P Kellogg, Elizabeth A Baxter, Ivan Udvardi, Michael Tang, Yuhong Mockler, Todd C Juenger, Thomas E Mullet, John Rensing, Stefan A Tuskan, Gerald A Merchant, Sabeeha S Stacey, Gary Schmutz, Jeremy |
author_sort | Sreedasyam, Avinash |
collection | PubMed |
description | Gene functional descriptions offer a crucial line of evidence for candidate genes underlying trait variation. Conversely, plant responses to environmental cues represent important resources to decipher gene function and subsequently provide molecular targets for plant improvement through gene editing. However, biological roles of large proportions of genes across the plant phylogeny are poorly annotated. Here we describe the Joint Genome Institute (JGI) Plant Gene Atlas, an updateable data resource consisting of transcript abundance assays spanning 18 diverse species. To integrate across these diverse genotypes, we analyzed expression profiles, built gene clusters that exhibited tissue/condition specific expression, and tested for transcriptional response to environmental queues. We discovered extensive phylogenetically constrained and condition-specific expression profiles for genes without any previously documented functional annotation. Such conserved expression patterns and tightly co-expressed gene clusters let us assign expression derived additional biological information to 64 495 genes with otherwise unknown functions. The ever-expanding Gene Atlas resource is available at JGI Plant Gene Atlas (https://plantgeneatlas.jgi.doe.gov) and Phytozome (https://phytozome.jgi.doe.gov/), providing bulk access to data and user-specified queries of gene sets. Combined, these web interfaces let users access differentially expressed genes, track orthologs across the Gene Atlas plants, graphically represent co-expressed genes, and visualize gene ontology and pathway enrichments. |
format | Online Article Text |
id | pubmed-10484672 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-104846722023-09-08 JGI Plant Gene Atlas: an updateable transcriptome resource to improve functional gene descriptions across the plant kingdom Sreedasyam, Avinash Plott, Christopher Hossain, Md Shakhawat Lovell, John T Grimwood, Jane Jenkins, Jerry W Daum, Christopher Barry, Kerrie Carlson, Joseph Shu, Shengqiang Phillips, Jeremy Amirebrahimi, Mojgan Zane, Matthew Wang, Mei Goodstein, David Haas, Fabian B Hiss, Manuel Perroud, Pierre-François Jawdy, Sara S Yang, Yongil Hu, Rongbin Johnson, Jenifer Kropat, Janette Gallaher, Sean D Lipzen, Anna Shakirov, Eugene V Weng, Xiaoyu Torres-Jerez, Ivone Weers, Brock Conde, Daniel Pappas, Marilia R Liu, Lifeng Muchlinski, Andrew Jiang, Hui Shyu, Christine Huang, Pu Sebastian, Jose Laiben, Carol Medlin, Alyssa Carey, Sankalpi Carrell, Alyssa A Chen, Jin-Gui Perales, Mariano Swaminathan, Kankshita Allona, Isabel Grattapaglia, Dario Cooper, Elizabeth A Tholl, Dorothea Vogel, John P Weston, David J Yang, Xiaohan Brutnell, Thomas P Kellogg, Elizabeth A Baxter, Ivan Udvardi, Michael Tang, Yuhong Mockler, Todd C Juenger, Thomas E Mullet, John Rensing, Stefan A Tuskan, Gerald A Merchant, Sabeeha S Stacey, Gary Schmutz, Jeremy Nucleic Acids Res Data Resources and Analyses Gene functional descriptions offer a crucial line of evidence for candidate genes underlying trait variation. Conversely, plant responses to environmental cues represent important resources to decipher gene function and subsequently provide molecular targets for plant improvement through gene editing. However, biological roles of large proportions of genes across the plant phylogeny are poorly annotated. Here we describe the Joint Genome Institute (JGI) Plant Gene Atlas, an updateable data resource consisting of transcript abundance assays spanning 18 diverse species. To integrate across these diverse genotypes, we analyzed expression profiles, built gene clusters that exhibited tissue/condition specific expression, and tested for transcriptional response to environmental queues. We discovered extensive phylogenetically constrained and condition-specific expression profiles for genes without any previously documented functional annotation. Such conserved expression patterns and tightly co-expressed gene clusters let us assign expression derived additional biological information to 64 495 genes with otherwise unknown functions. The ever-expanding Gene Atlas resource is available at JGI Plant Gene Atlas (https://plantgeneatlas.jgi.doe.gov) and Phytozome (https://phytozome.jgi.doe.gov/), providing bulk access to data and user-specified queries of gene sets. Combined, these web interfaces let users access differentially expressed genes, track orthologs across the Gene Atlas plants, graphically represent co-expressed genes, and visualize gene ontology and pathway enrichments. Oxford University Press 2023-08-01 /pmc/articles/PMC10484672/ /pubmed/37526283 http://dx.doi.org/10.1093/nar/gkad616 Text en © The Author(s) 2023. Published by Oxford University Press on behalf of Nucleic Acids Research. https://creativecommons.org/licenses/by-nc/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial License (https://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com |
spellingShingle | Data Resources and Analyses Sreedasyam, Avinash Plott, Christopher Hossain, Md Shakhawat Lovell, John T Grimwood, Jane Jenkins, Jerry W Daum, Christopher Barry, Kerrie Carlson, Joseph Shu, Shengqiang Phillips, Jeremy Amirebrahimi, Mojgan Zane, Matthew Wang, Mei Goodstein, David Haas, Fabian B Hiss, Manuel Perroud, Pierre-François Jawdy, Sara S Yang, Yongil Hu, Rongbin Johnson, Jenifer Kropat, Janette Gallaher, Sean D Lipzen, Anna Shakirov, Eugene V Weng, Xiaoyu Torres-Jerez, Ivone Weers, Brock Conde, Daniel Pappas, Marilia R Liu, Lifeng Muchlinski, Andrew Jiang, Hui Shyu, Christine Huang, Pu Sebastian, Jose Laiben, Carol Medlin, Alyssa Carey, Sankalpi Carrell, Alyssa A Chen, Jin-Gui Perales, Mariano Swaminathan, Kankshita Allona, Isabel Grattapaglia, Dario Cooper, Elizabeth A Tholl, Dorothea Vogel, John P Weston, David J Yang, Xiaohan Brutnell, Thomas P Kellogg, Elizabeth A Baxter, Ivan Udvardi, Michael Tang, Yuhong Mockler, Todd C Juenger, Thomas E Mullet, John Rensing, Stefan A Tuskan, Gerald A Merchant, Sabeeha S Stacey, Gary Schmutz, Jeremy JGI Plant Gene Atlas: an updateable transcriptome resource to improve functional gene descriptions across the plant kingdom |
title | JGI Plant Gene Atlas: an updateable transcriptome resource to improve functional gene descriptions across the plant kingdom |
title_full | JGI Plant Gene Atlas: an updateable transcriptome resource to improve functional gene descriptions across the plant kingdom |
title_fullStr | JGI Plant Gene Atlas: an updateable transcriptome resource to improve functional gene descriptions across the plant kingdom |
title_full_unstemmed | JGI Plant Gene Atlas: an updateable transcriptome resource to improve functional gene descriptions across the plant kingdom |
title_short | JGI Plant Gene Atlas: an updateable transcriptome resource to improve functional gene descriptions across the plant kingdom |
title_sort | jgi plant gene atlas: an updateable transcriptome resource to improve functional gene descriptions across the plant kingdom |
topic | Data Resources and Analyses |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10484672/ https://www.ncbi.nlm.nih.gov/pubmed/37526283 http://dx.doi.org/10.1093/nar/gkad616 |
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