ArticleGenes & genomics2018
Genetic structure of six cattle populations revealed by transcriptome-wide SNPs and gene expression.
Article in Genes & genomics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- Comparative analysis of genotype imputation strategies for SNPs calling from RNA-seq.BMC genomics · 2025Article
- RNA-DNA differences in variant calls from cattle tissues result in erroneous eQTLs.BMC genomics · 2024Article
- Extensive transcriptome data providing great efficacy in genetic research and adaptive gene discovery: a case study ofFrontiers in plant science · 2024Article
- Direct inference and control of genetic population structure from RNA sequencing data.Communications biology · 2023Article
- SNPs in Mammary Gland Epithelial Cells Unraveling Potential Difference in Milk Production Between Jersey and Kashmiri Cattle Using RNA Sequencing.Frontiers in genetics · 2021Article
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Authors and funding
9 authors.
Funding
Abstract
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.
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