Aarhus Universitets segl

Comparative transcriptome in large-scale human and cattle populations

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DOI

  • Yuelin Yao, University of Edinburgh
  • ,
  • Shuli Liu, United States Department of Agriculture, China Agricultural University
  • ,
  • Charley Xia, University of Edinburgh
  • ,
  • Yahui Gao, Animal Genomics and Improvement Laboratory, United States Department of Agriculture, Department of Animal and Avian Sciences, University of Maryland, College Park
  • ,
  • Zhangyuan Pan, University of California at Davis, Chinese Academy of Agricultural Sciences
  • ,
  • Oriol Canela-Xandri, University of Edinburgh
  • ,
  • Ava Khamseh, University of Edinburgh
  • ,
  • Konrad Rawlik, University of Edinburgh
  • ,
  • Sheng Wang, CAS - Kunming Institute of Zoology
  • ,
  • Bingjie Li, University of Edinburgh
  • ,
  • Yi Zhang
  • Erola Pairo-Castineira, University of Edinburgh
  • ,
  • Kenton D’Mellow, University of Edinburgh
  • ,
  • Xiujin Li, Guangdong Provincial Key Laboratory of Waterfowl Healthy Breeding, Zhongkai University of Agriculture and Engineering
  • ,
  • Ze Yan, China Agricultural University
  • ,
  • Cong jun Li, United States Department of Agriculture
  • ,
  • Ying Yu, China Agricultural University
  • ,
  • Shengli Zhang, China Agricultural University
  • ,
  • Li Ma
  • John B. Cole, United States Department of Agriculture
  • ,
  • Pablo J. Ross, University of California at Davis
  • ,
  • Huaijun Zhou, University of California at Davis
  • ,
  • Chris Haley, University of Edinburgh
  • ,
  • George E. Liu, United States Department of Agriculture
  • ,
  • Lingzhao Fang
  • Albert Tenesa, University of Edinburgh

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.

OriginalsprogEngelsk
Artikelnummer176
TidsskriftGenome Biology
Vol/bind23
Nummer1
ISSN1474-7596
DOI
StatusUdgivet - dec. 2022

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