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Comparative transcriptome in large-scale human and cattle populations

BACKGROUND: Cross-species comparison of transcriptomes is important for elucidating evolutionary molecular mechanisms underpinning phenotypic variation between and within species, yet to date it has been essentially limited to model organisms with relatively small sample sizes. RESULTS: Here, we sys...

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Autores principales: Yao, Yuelin, Liu, Shuli, Xia, Charley, Gao, Yahui, Pan, Zhangyuan, Canela-Xandri, Oriol, Khamseh, Ava, Rawlik, Konrad, Wang, Sheng, Li, Bingjie, Zhang, Yi, Pairo-Castineira, Erola, D’Mellow, Kenton, Li, Xiujin, Yan, Ze, Li, Cong-jun, Yu, Ying, Zhang, Shengli, Ma, Li, Cole, John B., Ross, Pablo J., Zhou, Huaijun, Haley, Chris, Liu, George E., Fang, Lingzhao, Tenesa, Albert
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9394047/
https://www.ncbi.nlm.nih.gov/pubmed/35996157
http://dx.doi.org/10.1186/s13059-022-02745-4
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author Yao, Yuelin
Liu, Shuli
Xia, Charley
Gao, Yahui
Pan, Zhangyuan
Canela-Xandri, Oriol
Khamseh, Ava
Rawlik, Konrad
Wang, Sheng
Li, Bingjie
Zhang, Yi
Pairo-Castineira, Erola
D’Mellow, Kenton
Li, Xiujin
Yan, Ze
Li, Cong-jun
Yu, Ying
Zhang, Shengli
Ma, Li
Cole, John B.
Ross, Pablo J.
Zhou, Huaijun
Haley, Chris
Liu, George E.
Fang, Lingzhao
Tenesa, Albert
author_facet Yao, Yuelin
Liu, Shuli
Xia, Charley
Gao, Yahui
Pan, Zhangyuan
Canela-Xandri, Oriol
Khamseh, Ava
Rawlik, Konrad
Wang, Sheng
Li, Bingjie
Zhang, Yi
Pairo-Castineira, Erola
D’Mellow, Kenton
Li, Xiujin
Yan, Ze
Li, Cong-jun
Yu, Ying
Zhang, Shengli
Ma, Li
Cole, John B.
Ross, Pablo J.
Zhou, Huaijun
Haley, Chris
Liu, George E.
Fang, Lingzhao
Tenesa, Albert
author_sort Yao, Yuelin
collection PubMed
description BACKGROUND: Cross-species comparison of transcriptomes is important for elucidating evolutionary molecular mechanisms underpinning phenotypic variation between and within species, yet to date it has been essentially limited to model organisms with relatively small sample sizes. RESULTS: Here, we systematically analyze and compare 10,830 and 4866 publicly available RNA-seq samples in humans and cattle, respectively, representing 20 common tissues. Focusing on 17,315 orthologous genes, we demonstrate that mean/median gene expression, inter-individual variation of expression, expression quantitative trait loci, and gene co-expression networks are generally conserved between humans and cattle. By examining large-scale genome-wide association studies for 46 human traits (average n = 327,973) and 45 cattle traits (average n = 24,635), we reveal that the heritability of complex traits in both species is significantly more enriched in transcriptionally conserved than diverged genes across tissues. CONCLUSIONS: In summary, our study provides a comprehensive comparison of transcriptomes between humans and cattle, which might help decipher the genetic and evolutionary basis of complex traits in both species. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13059-022-02745-4.
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spelling pubmed-93940472022-08-23 Comparative transcriptome in large-scale human and cattle populations Yao, Yuelin Liu, Shuli Xia, Charley Gao, Yahui Pan, Zhangyuan Canela-Xandri, Oriol Khamseh, Ava Rawlik, Konrad Wang, Sheng Li, Bingjie Zhang, Yi Pairo-Castineira, Erola D’Mellow, Kenton Li, Xiujin Yan, Ze Li, Cong-jun Yu, Ying Zhang, Shengli Ma, Li Cole, John B. Ross, Pablo J. Zhou, Huaijun Haley, Chris Liu, George E. Fang, Lingzhao Tenesa, Albert Genome Biol Research BACKGROUND: Cross-species comparison of transcriptomes is important for elucidating evolutionary molecular mechanisms underpinning phenotypic variation between and within species, yet to date it has been essentially limited to model organisms with relatively small sample sizes. RESULTS: Here, we systematically analyze and compare 10,830 and 4866 publicly available RNA-seq samples in humans and cattle, respectively, representing 20 common tissues. Focusing on 17,315 orthologous genes, we demonstrate that mean/median gene expression, inter-individual variation of expression, expression quantitative trait loci, and gene co-expression networks are generally conserved between humans and cattle. By examining large-scale genome-wide association studies for 46 human traits (average n = 327,973) and 45 cattle traits (average n = 24,635), we reveal that the heritability of complex traits in both species is significantly more enriched in transcriptionally conserved than diverged genes across tissues. CONCLUSIONS: In summary, our study provides a comprehensive comparison of transcriptomes between humans and cattle, which might help decipher the genetic and evolutionary basis of complex traits in both species. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13059-022-02745-4. BioMed Central 2022-08-22 /pmc/articles/PMC9394047/ /pubmed/35996157 http://dx.doi.org/10.1186/s13059-022-02745-4 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Yao, Yuelin
Liu, Shuli
Xia, Charley
Gao, Yahui
Pan, Zhangyuan
Canela-Xandri, Oriol
Khamseh, Ava
Rawlik, Konrad
Wang, Sheng
Li, Bingjie
Zhang, Yi
Pairo-Castineira, Erola
D’Mellow, Kenton
Li, Xiujin
Yan, Ze
Li, Cong-jun
Yu, Ying
Zhang, Shengli
Ma, Li
Cole, John B.
Ross, Pablo J.
Zhou, Huaijun
Haley, Chris
Liu, George E.
Fang, Lingzhao
Tenesa, Albert
Comparative transcriptome in large-scale human and cattle populations
title Comparative transcriptome in large-scale human and cattle populations
title_full Comparative transcriptome in large-scale human and cattle populations
title_fullStr Comparative transcriptome in large-scale human and cattle populations
title_full_unstemmed Comparative transcriptome in large-scale human and cattle populations
title_short Comparative transcriptome in large-scale human and cattle populations
title_sort comparative transcriptome in large-scale human and cattle populations
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9394047/
https://www.ncbi.nlm.nih.gov/pubmed/35996157
http://dx.doi.org/10.1186/s13059-022-02745-4
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