ArticleJournal of applied genetics2014
Genome-wide detection of selective signatures in Simmental cattle.
Article in Journal of applied genetics, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.
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Who cites it
17 citing papers in PubMed, 1 synthesis or guideline pooled it, 30 citations in OpenAlex.
- A Meta-Assembly of Selection Signatures in Cattle.PloS one · 2016Pooled it
- Genomic Survey of Selection Footprints in Three Buffalo Breeds from Eastern Europe.Animals : an open access journal from MDPI · 2026Article
- Genomic signatures of environmental adaptation in Danzhou chickens.BMC genomics · 2026Article
- Bovine Genome Database: new curated collection of selective sweeps in bovine populations across the world.Nucleic acids research · 2026Article
- Genome-wide discovery of selection signatures in four Anatolian sheep breeds revealed by ddRADseq.Scientific reports · 2024Article
- Genomic Dissection through Whole-Genome Resequencing of Five Local Pig Breeds from Shanghai, China.Animals : an open access journal from MDPI · 2023Article
- Genetic improvement of economic traits in Murrah buffalo using significant SNPs from genome-wide association study.Tropical animal health and production · 2023Article
- Whole genome sequencing of simmental cattle for SNP and CNV discovery.BMC genomics · 2023Article
- Comparative expression analysis of water buffalo (Frontiers in veterinary science · 2023Article
- Assessing the Genetic Background and Selection Signatures of Huaxi Cattle Using High-Density SNP Array.Animals : an open access journal from MDPI · 2021Article
- Genome-wide selection signatures detection in Shanghai Holstein cattle population identified genes related to adaption, health and reproduction traits.BMC genomics · 2021Review
- Whole genome detection of recent selection signatures in Sarabi cattle: a unique Iranian taurine breed.Genes & genomics · 2020Article
- Identification of Signatures of Selection by Whole-Genome Resequencing of a Chinese Native Pig.Frontiers in genetics · 2020Article
- Population structure and genomic inbreeding in nine Swiss dairy cattle populations.Genetics, selection, evolution : GSE · 2017Article
- Genomic Scans across Three Eucalypts Suggest that Adaptation to Aridity is a Genome-Wide Phenomenon.Genome biology and evolution · 2017Article
- Identification of selective sweeps reveals divergent selection between Chinese Holstein and Simmental cattle populations.Genetics, selection, evolution : GSE · 2016Article
- Relative extended haplotype homozygosity signals across breeds reveal dairy and beef specific signatures of selection.Genetics, selection, evolution : GSE · 2015Article
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Authors and funding
9 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Artificial selection has greatly improved the beef production performance and changed its genetic basis. High-density SNP markers provide a way to track these changes and use selective signatures to search for the genes associated with artificial selection. In this study, we performed extended haplotype homozygosity (EHH) tests based on Illumina BovineSNP50 (54 K) Chip data from 942 Simmental cattle to identify significant core regions containing selective signatures, then verified the biological significance of these identified regions based on some commonly used bioinformatics analyses. A total of 224 regions over the whole genome in Simmental cattle showing the highest significance and containing some important functional genes, such as GHSR, TG and CANCNA2D1 were chosen. We also observed some significant terms in the enrichment analyses of second GO terms and KEGG pathways, indicating that these genes are associated with economically relevant cattle traits. This is the first detection of selection signature in Simmental cattle. Our findings significantly expand the selection signature map of the cattle genome, and identify functional candidate genes under positive selection for future genetic research.
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