ArticleAnimals : an open access journal from MDPI2020
Selection Signatures Analysis Reveals Genes Associated with High-Altitude Adaptation in Tibetan Goats from Nagqu, Tibet.
Article in Animals : an open access journal from MDPI, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers.
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Who cites it
36 citing papers in PubMed, 49 citations in OpenAlex.
- Whole-genome sequencing identifies genetic diversity and adaptive signatures of hypoxia and ultraviolet radiation in Chinese chickens.Journal of advanced research · 2026Article
- Integrative Genomic and Transcriptomic Insights into High-Altitude Adaptation in Changthangi Goats.Applied biochemistry and biotechnology · 2026Article
- Applications of omics-based phenotyping technologies in animal genetic breeding.Science China. Life sciences · 2026Review
- Integrated SNP and SV Analyses Reveal Genetic Mechanisms Underlying High-Altitude Adaptation in Goats.Animals : an open access journal from MDPI · 2026Article
- Insights into Copy Number Variation Architecture in Black Bengal Goat Genome.International journal of molecular sciences · 2026Article
- Progress on genome-wide association studies and selection signature analysis for agronomic traits in Chinese sheep and goats: review.Animal bioscience · 2026Article
- Genomic insights into the population history of fat-tailed sheep and identification of two mutations that contribute to fat tail adipogenesis.Journal of advanced research · 2026Article
- Signature of Selection Analysis Reveals Candidate Genes Related to Climate Adaptation and Production Traits in Lao Native Goats.Journal of animal breeding and genetics = Zeitschrift fur Tierzuchtung und Zuchtungsbiologie · 2026Article
- Genome-wide selective sweep analysis in high-altitude Changthangi goats reveals candidate genes for pashmina fiber production.Mammalian genome : official journal of the International Mammalian Genome Society · 2025Article
- Whole-genome analysis reveals genetic diversity and selection pressure in Sichuan donkey.BMC genomics · 2025Article
- Article
- Review
- Chromosome-level genome of Neodon fuscus sheds light on the evolution and plateau adaptation of N. fuscus and Neodon.BMC genomics · 2025Article
- Integrating SNP data to reveal the adaptive selection features of goat populations in extreme environments.BMC genomics · 2025Article
- Transcriptomic Profiling of Hypoxia-Adaptive Responses in Tibetan Goat Fibroblasts.Animals : an open access journal from MDPI · 2025Article
- Single nucleotide polymorphism-based analysis of linkage disequilibrium and runs of homozygosity patterns of indigenous sheep in the southern Taklamakan desert.BMC genomics · 2025Article
- Potential Genetic Markers Associated with Environmental Adaptability in Herbivorous Livestock.Animals : an open access journal from MDPI · 2025Review
- Genome-wide selection signal analysis reveals the adaptability of Tibetan sheep to high altitudes.Frontiers in veterinary science · 2025Article
- Genetic diversity, reproductive performance, and genetic enhancement strategies in Huang-Huai goats.Frontiers in genetics · 2025Review
- Multi-Omics Approaches Uncovered Critical mRNA-miRNA-lncRNA Networks Regulating Multiple Birth Traits in Goat Ovaries.International journal of molecular sciences · 2024Article
Corrections and comments
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Authors and funding
10 authors at 5 institutions in 1 country.
Funding
Abstract
Tibetan goat is an ancient breed, which inhabits the adverse conditions of the plateaus in China. To investigate the role of selection in shaping its genomes, we genotyped Tibetan goats (Nagqu Prefecture, above 4500 m) and three lowland populations (Xinjiang goats, Taihang goats and Huanghuai goats). The result of PCA, neighbor-joining (N-J) tree and model-based clustering showed that the genetic structure between the Tibetan goat and the three lowland populations has significant difference. As demonstrated by the
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.