Year: 2022
Type: article
Abstract: 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.
Source: Genome biology
Authors: Yuelin Yao, Shuli Liu, Charley Xia, Yahui Gao, Zhangyuan Pan, Oriol Canela-Xandri, Ava Khamseh, Konrad Rawlik, Sheng Wang, Bingjie Li, Yi Zhang, Erola Pairo-Castineira, Kenton D’Mellow, Xiujin Li, Ze Yan, Cong-jun Li, Ying Yu, Shengli Zhang, Li Ma, John B. Cole, Pablo J. Ross, Huaijun Zhou, Chris Haley, George E. Liu, Lingzhao Fang, Albert Tenesa
Institutions: Institute of Genetics and Cancer, MRC Human Genetics Unit, University of Edinburgh, Agricultural Research Service, United States Department of Agriculture, Beltsville Agricultural Research Center, China Agricultural University, Roslin Institute, University of Maryland, College Park, Chinese Academy of Agricultural Sciences, Institute of Animal Sciences, University of California, Davis, Kunming Institute of Zoology, Chinese Academy of Sciences, State Key Laboratory of Genetic Resources and Evolution, Scotland's Rural College, Zhongkai University of Agriculture and Engineering, Aarhus University
Language: English
Subfield: Genetics
Domain: Life Sciences
Open Access status: gold
Estimated APC paid: $5,030
Awards: G1712273835, G2113439094, G2443568277, G2513287644, G2522522268, G2788832465, G2847242138, TRAIN@Ed, Vast-scale linear mixed modelling genetic discovery approaches for genome- and exome-wide association analyses to enable therapeutic target validation, G3596874988, G434337789, G4468707860, G5082646809, G5186635967, Understanding disease through environment-wide association studies, G5715772328, G6085906343, G6120154085, Quantitative Traits in Health and Disease, TRAIN@Ed, G6565467057, G6680170637, G6836947205, G7149858532, Cross-disciplinary post-doctoral fellow training scheme in quantative biomedicine (XDF) - 8 x 4 year post-docs, G7883209335, G8023369778, G8368376415, G8420118621, G881453346
OpenAlex ID: W4292590455