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Hereditas(Beijing) ›› 2024, Vol. 46 ›› Issue (8): 640-648.doi: 10.16288/j.yczz.24-068

• Research Article • Previous Articles     Next Articles

Application effectiveness of “Youxin-1” in genetic diversity and structure analysis of local chickens

Mengyu Wang1,2(), Chenghao Zhou2(), Qian Xue2,3, Jianmei Yin2, Yixiu Jiang2, Huiyong Zhang2, Guohui Li2, Wei Han1,2()   

  1. 1. Poultry Institute, Chinese Academy of Agricultural Sciences, Yangzhou 225125, China
    2. Poultry Institute of Jiangsu Province, Yangzhou 225125, China
    3. Science and Technology Innovation Co., Ltd., Poultry Institute of JiangsuProvince, Yangzhou 225125, China
  • Received:2024-03-14 Revised:2024-06-12 Online:2024-08-20 Published:2024-06-24
  • Contact: Wei Han E-mail:2664935435@qq.com;604242123@qq.com;hanwei830@163.com
  • Supported by:
    National Key Research and Development Program of China(2021YFD1200302);Seed Industry Revitalization Project of Jiangsu Province(JBGS[2021]029);Natural Science Foundation Project of Jiangsu Province(BK20221285)

Abstract:

China’s local chicken breeds are rich in resources, and have formed different germplasm characteristics in the process of long-term selection and evolution. Scientific assessment of population genetic diversity and identification of inter-breed genetic structure are of great value to the protection and innovative utilization of local chicken breed resource. In order to evaluate the application effectiveness of 23K SNP chip “Youxin-1” in the analysis of genetic diversity and genetic structure of local chickens, we used RADseq to identify genomic genetic variation of 21 local chicken breeds and developed 23K chip “Youxin-1”. The genetic statistics of each variety were calculated based on two sets of SNP data, and correlation, fitting and phylogenetic analysis were carried out to evaluate the application effectiveness of the chip. The results showed that the observed heterozygosity (Ho), polymorphism information content (PIC), inbred coefficient (FROH) and genetic differentiation coefficient (Fst) calculated based on the two SNP data sets were basically consistent in the 21 local chicken breeds. The genetic diversity of Langya chicken (LA), Piao chicken (PJ) and Wenchang chicken (WC) was relatively rich. The genetic diversity of Bian chickens (BJ), Langshan chickens (LS), Gushi chickens (GS), Dongxiang blue-eggshell chickens (DX) and Beijing fatty chickens (BY) was relatively poor, and the correlation coefficients of Ho, PIC, FROH and average Fst in the two groups were 0.794, 0.901, 0.926 and 0.984, respectively, all reaching extremely significant levels (P<0.01) with a high degree of fit (P<0.001) and R2 were 0.644, 0.827, 0.916 and 0.927. For the two sets of SNP data, the evolutionary tree constructed by neighbor-joining (NJ) method and maximum likelihood (ML) method was reasonable, and the 21 local chicken breeds were generally divided into six categories, which was consistent with the formation history and geographical distribution of the varieties. The 23K chip also realized reasonable clustering of the five new varieties without individual deviation. There are some differences in the estimation of genetic statistics using SNP with different densities, and data standardization is needed. 23K chip has good efficacy in the analysis of genetic diversity and structure of local chickens.

Key words: RADseq, SNP chip, genetic diversity, genetic structure