Fu Wei , Zhang Ran , Ding Hong , Wang Wenjun , Liu Huage , Zang Sumin , Zhou Rongyan
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引用次数: 0
Abstract
Taihang is an indigenous breed in Hebei Province and has a long history of evolution. To uncover the genetic basis and protect the genetic resources, it is important to develop accurate markers to identify Taihang at the molecular level. In this study, a total of 137 individuals from Taihang and other 4 breeds were selected to construct a genome-wide SNP map. The population genetic structure analysis revealed clear differentiation among the five breeds. A total of 47 SNPs were identified for differentiating Taihang from other breeds based on the fixation index (FST), linkage disequilibrium (LD) pruning, and machine learning, further validated using principal component analysis (PCA) and genetic relationship matrix (GRM). The 47 SNPs were annotated to genes associated with production, growth and development, immunity, adaptation, and appearance. Overall, the combination of 47 SNPs enables precise identification of Taihang, which significantly contributes to the preservation of native genetic resources.
期刊介绍:
First self-published in 1921, Poultry Science is an internationally renowned monthly journal, known as the authoritative source for a broad range of poultry information and high-caliber research. The journal plays a pivotal role in the dissemination of preeminent poultry-related knowledge across all disciplines. As of January 2020, Poultry Science will become an Open Access journal with no subscription charges, meaning authors who publish here can make their research immediately, permanently, and freely accessible worldwide while retaining copyright to their work. Papers submitted for publication after October 1, 2019 will be published as Open Access papers.
An international journal, Poultry Science publishes original papers, research notes, symposium papers, and reviews of basic science as applied to poultry. This authoritative source of poultry information is consistently ranked by ISI Impact Factor as one of the top 10 agriculture, dairy and animal science journals to deliver high-caliber research. Currently it is the highest-ranked (by Impact Factor and Eigenfactor) journal dedicated to publishing poultry research. Subject areas include breeding, genetics, education, production, management, environment, health, behavior, welfare, immunology, molecular biology, metabolism, nutrition, physiology, reproduction, processing, and products.