4.7 Article

GGVD: A goat genome variation database for tracking the dynamic evolutionary process of selective signatures and ancient introgressions

期刊

JOURNAL OF GENETICS AND GENOMICS
卷 48, 期 3, 页码 248-256

出版社

SCIENCE PRESS
DOI: 10.1016/j.jgg.2021.03.003

关键词

Goat; Genetic structure; Variation; Selective signature; Introgression; Database

资金

  1. National Natural Science Foundation of China [31822052]
  2. National Thousand Youth Talents Plan [Z111021502]
  3. Shaanxi Province Provincial Agricultural special funds [K3370220015]

向作者/读者索取更多资源

GGVD is a comprehensive goat genome variation database that hosts a large number of SNPs and indels, allowing researchers to visualize genomic variations in geographical maps and interactive tables, and track the status of genetic variants. The database also integrates various tools for accessing sequence features conveniently.
Understanding the evolutionary history and adaptive process depends on the knowledge that we can acquire from both ancient and modern genomic data. With the availability of a deluge of whole-genome sequencing data from ancient and modern goat samples, a user-friendly database making efficient reuse of these important resources is needed. Here, we use the genomes of 208 modern domestic goats, 24 bezoars, 46 wild ibexes, and 82 ancient goats to present a comprehensive goat genome variation database (GGVD). GGVD hosts a total of similar to 41.44 million SNPs, similar to 5.14 million indels, 6,193 selected loci, and 112 introgression regions. Users can freely visualize the frequency of genomic variations in geographical maps, selective sweeps in interactive tables, Manhattan plots, or line charts, as well as the heatmap patterns of the SNP genotype. Ancient data can be shown in haplotypes to track the state of genetic variants of selection and introgression events in the early, middle, and late stages. For facilitating access to sequence features, the UCSC Genome Browser, BLAT, BLAST, LiftOver, and pcadapt are also integrated into GGVD. GGVD will be a convenient tool for population genetic studies and molecular marker designing in goat breeding programs, and it is publicly available at http://animal.nwsuaf.edu.cn/GoatVar. Copyright (C) 2021, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, and Genetics Society of China. Published by Elsevier Limited and Science Press. All rights reserved.

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