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Epigenomics and genotype-phenotype association analyses reveal conserved genetic architecture of complex traits in cattle and human
BACKGROUND: Lack of comprehensive functional annotations across a wide range of tissues and cell types severely hinders the biological interpretations of phenotypic variation, adaptive evolution, and domestication in livestock. Here we used a combination of comparative epigenomics, genome-wide assoc...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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BioMed Central
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7334855/ https://www.ncbi.nlm.nih.gov/pubmed/32620158 http://dx.doi.org/10.1186/s12915-020-00792-6 |
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author | Liu, Shuli Yu, Ying Zhang, Shengli Cole, John B. Tenesa, Albert Wang, Ting McDaneld, Tara G. Ma, Li Liu, George E. Fang, Lingzhao |
author_facet | Liu, Shuli Yu, Ying Zhang, Shengli Cole, John B. Tenesa, Albert Wang, Ting McDaneld, Tara G. Ma, Li Liu, George E. Fang, Lingzhao |
author_sort | Liu, Shuli |
collection | PubMed |
description | BACKGROUND: Lack of comprehensive functional annotations across a wide range of tissues and cell types severely hinders the biological interpretations of phenotypic variation, adaptive evolution, and domestication in livestock. Here we used a combination of comparative epigenomics, genome-wide association study (GWAS), and selection signature analysis, to shed light on potential adaptive evolution in cattle. RESULTS: We cross-mapped 8 histone marks of 1300 samples from human to cattle, covering 178 unique tissues/cell types. By uniformly analyzing 723 RNA-seq and 40 whole genome bisulfite sequencing (WGBS) datasets in cattle, we validated that cross-mapped histone marks captured tissue-specific expression and methylation, reflecting tissue-relevant biology. Through integrating cross-mapped tissue-specific histone marks with large-scale GWAS and selection signature results, we for the first time detected relevant tissues and cell types for 45 economically important traits and artificial selection in cattle. For instance, immune tissues are significantly associated with health and reproduction traits, multiple tissues for milk production and body conformation traits (reflecting their highly polygenic architecture), and thyroid for the different selection between beef and dairy cattle. Similarly, we detected relevant tissues for 58 complex traits and diseases in humans and observed that immune and fertility traits in humans significantly correlated with those in cattle in terms of relevant tissues, which facilitated the identification of causal genes for such traits. For instance, PIK3CG, a gene highly specifically expressed in mononuclear cells, was significantly associated with both age-at-menopause in human and daughter-still-birth in cattle. ICAM, a T cell-specific gene, was significantly associated with both allergic diseases in human and metritis in cattle. CONCLUSION: Collectively, our results highlighted that comparative epigenomics in conjunction with GWAS and selection signature analyses could provide biological insights into the phenotypic variation and adaptive evolution. Cattle may serve as a model for human complex traits, by providing additional information beyond laboratory model organisms, particularly when more novel phenotypes become available in the near future. |
format | Online Article Text |
id | pubmed-7334855 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-73348552020-07-06 Epigenomics and genotype-phenotype association analyses reveal conserved genetic architecture of complex traits in cattle and human Liu, Shuli Yu, Ying Zhang, Shengli Cole, John B. Tenesa, Albert Wang, Ting McDaneld, Tara G. Ma, Li Liu, George E. Fang, Lingzhao BMC Biol Research Article BACKGROUND: Lack of comprehensive functional annotations across a wide range of tissues and cell types severely hinders the biological interpretations of phenotypic variation, adaptive evolution, and domestication in livestock. Here we used a combination of comparative epigenomics, genome-wide association study (GWAS), and selection signature analysis, to shed light on potential adaptive evolution in cattle. RESULTS: We cross-mapped 8 histone marks of 1300 samples from human to cattle, covering 178 unique tissues/cell types. By uniformly analyzing 723 RNA-seq and 40 whole genome bisulfite sequencing (WGBS) datasets in cattle, we validated that cross-mapped histone marks captured tissue-specific expression and methylation, reflecting tissue-relevant biology. Through integrating cross-mapped tissue-specific histone marks with large-scale GWAS and selection signature results, we for the first time detected relevant tissues and cell types for 45 economically important traits and artificial selection in cattle. For instance, immune tissues are significantly associated with health and reproduction traits, multiple tissues for milk production and body conformation traits (reflecting their highly polygenic architecture), and thyroid for the different selection between beef and dairy cattle. Similarly, we detected relevant tissues for 58 complex traits and diseases in humans and observed that immune and fertility traits in humans significantly correlated with those in cattle in terms of relevant tissues, which facilitated the identification of causal genes for such traits. For instance, PIK3CG, a gene highly specifically expressed in mononuclear cells, was significantly associated with both age-at-menopause in human and daughter-still-birth in cattle. ICAM, a T cell-specific gene, was significantly associated with both allergic diseases in human and metritis in cattle. CONCLUSION: Collectively, our results highlighted that comparative epigenomics in conjunction with GWAS and selection signature analyses could provide biological insights into the phenotypic variation and adaptive evolution. Cattle may serve as a model for human complex traits, by providing additional information beyond laboratory model organisms, particularly when more novel phenotypes become available in the near future. BioMed Central 2020-07-03 /pmc/articles/PMC7334855/ /pubmed/32620158 http://dx.doi.org/10.1186/s12915-020-00792-6 Text en © The Author(s) 2020 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/. 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 in a credit line to the data. |
spellingShingle | Research Article Liu, Shuli Yu, Ying Zhang, Shengli Cole, John B. Tenesa, Albert Wang, Ting McDaneld, Tara G. Ma, Li Liu, George E. Fang, Lingzhao Epigenomics and genotype-phenotype association analyses reveal conserved genetic architecture of complex traits in cattle and human |
title | Epigenomics and genotype-phenotype association analyses reveal conserved genetic architecture of complex traits in cattle and human |
title_full | Epigenomics and genotype-phenotype association analyses reveal conserved genetic architecture of complex traits in cattle and human |
title_fullStr | Epigenomics and genotype-phenotype association analyses reveal conserved genetic architecture of complex traits in cattle and human |
title_full_unstemmed | Epigenomics and genotype-phenotype association analyses reveal conserved genetic architecture of complex traits in cattle and human |
title_short | Epigenomics and genotype-phenotype association analyses reveal conserved genetic architecture of complex traits in cattle and human |
title_sort | epigenomics and genotype-phenotype association analyses reveal conserved genetic architecture of complex traits in cattle and human |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7334855/ https://www.ncbi.nlm.nih.gov/pubmed/32620158 http://dx.doi.org/10.1186/s12915-020-00792-6 |
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