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Genetic structure of six cattle populations revealed by transcriptome-wide SNPs and gene expression

There are abundant cattle breeds/populations in China, and the systematic discovery of genomic variants is essential for performing the marker assisted selection and conservation of genetic resources. In the present study, we employed whole transcriptome sequencing (RNA-Seq) technology for revealing...

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Autores principales: Wang, Wei, Wang, Huai, Tang, Hui, Gan, Jia, Shi, Changgeng, Lu, Qing, Fang, Donghui, Yi, Jun, Fu, Maozhong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Genetics Society of Korea 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6015124/
https://www.ncbi.nlm.nih.gov/pubmed/29934811
http://dx.doi.org/10.1007/s13258-018-0677-1
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author Wang, Wei
Wang, Huai
Tang, Hui
Gan, Jia
Shi, Changgeng
Lu, Qing
Fang, Donghui
Yi, Jun
Fu, Maozhong
author_facet Wang, Wei
Wang, Huai
Tang, Hui
Gan, Jia
Shi, Changgeng
Lu, Qing
Fang, Donghui
Yi, Jun
Fu, Maozhong
author_sort Wang, Wei
collection PubMed
description There are abundant cattle breeds/populations in China, and the systematic discovery of genomic variants is essential for performing the marker assisted selection and conservation of genetic resources. In the present study, we employed whole transcriptome sequencing (RNA-Seq) technology for revealing genetic structure among six Chinese cattle populations according to transcriptome-wide SNPs and gene expression. A total of 68,094 variants consisting of 61,754 SNPs and 6340 InDels were detected and widely distributed among all chromosomes, by which the clear patterns of population structures were revealed. We also found the significantly differential density of variant distribution among genes. Additionally, we totally assembled 15,992 genes and detected obvious differences on the expression profiles among populations. In contrast to genomic variants, the measure of gene expression levels failed to support the expected population structure. Here, we provided a global landscape on the differential expression genes among these cattle populations. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s13258-018-0677-1) contains supplementary material, which is available to authorized users.
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spelling pubmed-60151242018-07-04 Genetic structure of six cattle populations revealed by transcriptome-wide SNPs and gene expression Wang, Wei Wang, Huai Tang, Hui Gan, Jia Shi, Changgeng Lu, Qing Fang, Donghui Yi, Jun Fu, Maozhong Genes Genomics Research Article There are abundant cattle breeds/populations in China, and the systematic discovery of genomic variants is essential for performing the marker assisted selection and conservation of genetic resources. In the present study, we employed whole transcriptome sequencing (RNA-Seq) technology for revealing genetic structure among six Chinese cattle populations according to transcriptome-wide SNPs and gene expression. A total of 68,094 variants consisting of 61,754 SNPs and 6340 InDels were detected and widely distributed among all chromosomes, by which the clear patterns of population structures were revealed. We also found the significantly differential density of variant distribution among genes. Additionally, we totally assembled 15,992 genes and detected obvious differences on the expression profiles among populations. In contrast to genomic variants, the measure of gene expression levels failed to support the expected population structure. Here, we provided a global landscape on the differential expression genes among these cattle populations. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s13258-018-0677-1) contains supplementary material, which is available to authorized users. The Genetics Society of Korea 2018-03-26 2018 /pmc/articles/PMC6015124/ /pubmed/29934811 http://dx.doi.org/10.1007/s13258-018-0677-1 Text en © The Author(s) 2018 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.
spellingShingle Research Article
Wang, Wei
Wang, Huai
Tang, Hui
Gan, Jia
Shi, Changgeng
Lu, Qing
Fang, Donghui
Yi, Jun
Fu, Maozhong
Genetic structure of six cattle populations revealed by transcriptome-wide SNPs and gene expression
title Genetic structure of six cattle populations revealed by transcriptome-wide SNPs and gene expression
title_full Genetic structure of six cattle populations revealed by transcriptome-wide SNPs and gene expression
title_fullStr Genetic structure of six cattle populations revealed by transcriptome-wide SNPs and gene expression
title_full_unstemmed Genetic structure of six cattle populations revealed by transcriptome-wide SNPs and gene expression
title_short Genetic structure of six cattle populations revealed by transcriptome-wide SNPs and gene expression
title_sort genetic structure of six cattle populations revealed by transcriptome-wide snps and gene expression
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6015124/
https://www.ncbi.nlm.nih.gov/pubmed/29934811
http://dx.doi.org/10.1007/s13258-018-0677-1
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