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Fish-T1K (Transcriptomes of 1,000 Fishes) Project: large-scale transcriptome data for fish evolution studies
Ray-finned fishes (Actinopterygii) represent more than 50 % of extant vertebrates and are of great evolutionary, ecologic and economic significance, but they are relatively underrepresented in ‘omics studies. Increased availability of transcriptome data for these species will allow researchers to be...
Autores principales: | , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4853854/ https://www.ncbi.nlm.nih.gov/pubmed/27144000 http://dx.doi.org/10.1186/s13742-016-0124-7 |
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author | Sun, Ying Huang, Yu Li, Xiaofeng Baldwin, Carole C. Zhou, Zhuocheng Yan, Zhixiang Crandall, Keith A. Zhang, Yong Zhao, Xiaomeng Wang, Min Wong, Alex Fang, Chao Zhang, Xinhui Huang, Hai Lopez, Jose V. Kilfoyle, Kirk Zhang, Yong Ortí, Guillermo Venkatesh, Byrappa Shi, Qiong |
author_facet | Sun, Ying Huang, Yu Li, Xiaofeng Baldwin, Carole C. Zhou, Zhuocheng Yan, Zhixiang Crandall, Keith A. Zhang, Yong Zhao, Xiaomeng Wang, Min Wong, Alex Fang, Chao Zhang, Xinhui Huang, Hai Lopez, Jose V. Kilfoyle, Kirk Zhang, Yong Ortí, Guillermo Venkatesh, Byrappa Shi, Qiong |
author_sort | Sun, Ying |
collection | PubMed |
description | Ray-finned fishes (Actinopterygii) represent more than 50 % of extant vertebrates and are of great evolutionary, ecologic and economic significance, but they are relatively underrepresented in ‘omics studies. Increased availability of transcriptome data for these species will allow researchers to better understand changes in gene expression, and to carry out functional analyses. An international project known as the “Transcriptomes of 1,000 Fishes” (Fish-T1K) project has been established to generate RNA-seq transcriptome sequences for 1,000 diverse species of ray-finned fishes. The first phase of this project has produced transcriptomes from more than 180 ray-finned fishes, representing 142 species and covering 51 orders and 109 families. Here we provide an overview of the goals of this project and the work done so far. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s13742-016-0124-7) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-4853854 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-48538542016-05-04 Fish-T1K (Transcriptomes of 1,000 Fishes) Project: large-scale transcriptome data for fish evolution studies Sun, Ying Huang, Yu Li, Xiaofeng Baldwin, Carole C. Zhou, Zhuocheng Yan, Zhixiang Crandall, Keith A. Zhang, Yong Zhao, Xiaomeng Wang, Min Wong, Alex Fang, Chao Zhang, Xinhui Huang, Hai Lopez, Jose V. Kilfoyle, Kirk Zhang, Yong Ortí, Guillermo Venkatesh, Byrappa Shi, Qiong Gigascience Commentary Ray-finned fishes (Actinopterygii) represent more than 50 % of extant vertebrates and are of great evolutionary, ecologic and economic significance, but they are relatively underrepresented in ‘omics studies. Increased availability of transcriptome data for these species will allow researchers to better understand changes in gene expression, and to carry out functional analyses. An international project known as the “Transcriptomes of 1,000 Fishes” (Fish-T1K) project has been established to generate RNA-seq transcriptome sequences for 1,000 diverse species of ray-finned fishes. The first phase of this project has produced transcriptomes from more than 180 ray-finned fishes, representing 142 species and covering 51 orders and 109 families. Here we provide an overview of the goals of this project and the work done so far. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s13742-016-0124-7) contains supplementary material, which is available to authorized users. BioMed Central 2016-05-03 /pmc/articles/PMC4853854/ /pubmed/27144000 http://dx.doi.org/10.1186/s13742-016-0124-7 Text en © Sun et al. 2016 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Commentary Sun, Ying Huang, Yu Li, Xiaofeng Baldwin, Carole C. Zhou, Zhuocheng Yan, Zhixiang Crandall, Keith A. Zhang, Yong Zhao, Xiaomeng Wang, Min Wong, Alex Fang, Chao Zhang, Xinhui Huang, Hai Lopez, Jose V. Kilfoyle, Kirk Zhang, Yong Ortí, Guillermo Venkatesh, Byrappa Shi, Qiong Fish-T1K (Transcriptomes of 1,000 Fishes) Project: large-scale transcriptome data for fish evolution studies |
title | Fish-T1K (Transcriptomes of 1,000 Fishes) Project: large-scale transcriptome data for fish evolution studies |
title_full | Fish-T1K (Transcriptomes of 1,000 Fishes) Project: large-scale transcriptome data for fish evolution studies |
title_fullStr | Fish-T1K (Transcriptomes of 1,000 Fishes) Project: large-scale transcriptome data for fish evolution studies |
title_full_unstemmed | Fish-T1K (Transcriptomes of 1,000 Fishes) Project: large-scale transcriptome data for fish evolution studies |
title_short | Fish-T1K (Transcriptomes of 1,000 Fishes) Project: large-scale transcriptome data for fish evolution studies |
title_sort | fish-t1k (transcriptomes of 1,000 fishes) project: large-scale transcriptome data for fish evolution studies |
topic | Commentary |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4853854/ https://www.ncbi.nlm.nih.gov/pubmed/27144000 http://dx.doi.org/10.1186/s13742-016-0124-7 |
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