Literature DB >> 29774577

Genome-wide association analysis reveals novel loci for hypoxia adaptability in Tibetan chicken.

S Y Jiang1, H Y Xu2, Z N Shen1, C J Zhao1,3,4,5, C Wu1,3,4,5.   

Abstract

The Tibetan chicken (TBC), an indigenous chicken breed of the Tibetan Plateau, has adapted to its hypoxic, high-altitude environment over hundreds of years. The objective of this study was to identify the polymorphisms and genes associated with adaptation to hypoxia in this chicken breed. In the present study, samples were collected during days 18-21 of the incubation period from both surviving chicks and dead embryos, all of which were hatched under hypoxic conditions. A genome-wide association study was conducted using the Illumina iSelect 60K SNP array with a case-control design, in which the case group consisted of the dead chicken embryos (n = 54) and controls were the surviving chicks (n = 82). Four significant SNPs were detected at the genome-wide level (P < 0.05), and the results indicated that fork head box G1 (FOXG1) was the main candidate gene. The lead SNP NC_006092.4:g.33368893T>C was confirmed with a polymerase chain reaction-restriction fragment length polymorphism analysis of 122 cases and 212 controls. A chi-square test showed a significant association between NC_006092.4:g.33368893T>C and hatchability under hypoxic conditions (P < 0.01). Our results revealed novel polymorphisms and a candidate gene associated with hypoxic adaptation, facilitating further study in this field.
© 2018 Stichting International Foundation for Animal Genetics.

Entities:  

Keywords:  embryos; genome-wide association study; hatchability; single nucleotide polymorphism

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Year:  2018        PMID: 29774577     DOI: 10.1111/age.12678

Source DB:  PubMed          Journal:  Anim Genet        ISSN: 0268-9146            Impact factor:   3.169


  1 in total

1.  Genome-Wide Single-Nucleotide Polymorphism Data Unveil Admixture of Chinese Indigenous Chicken Breeds with Commercial Breeds.

Authors:  Changsheng Nie; Pedro Almeida; Yaxiong Jia; Haigang Bao; Zhonghua Ning; Lujiang Qu
Journal:  Genome Biol Evol       Date:  2019-07-01       Impact factor: 3.416

  1 in total

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