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中国西门塔尔牛生长曲线参数的全基因组关联分析

Genome-Wide Association Analysis of Growth Curve Parameters in Chinese Simmental Beef Cattle.

作者信息

Duan Xinghai, An Bingxing, Du Lili, Chang Tianpeng, Liang Mang, Yang Bai-Gao, Xu Lingyang, Zhang Lupei, Li Junya, E Guangxin, Gao Huijiang

机构信息

Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing 100193, China.

College of Animal Science and Technology, Southwest University, Chongqing 400715, China.

出版信息

Animals (Basel). 2021 Jan 15;11(1):192. doi: 10.3390/ani11010192.

DOI:10.3390/ani11010192
PMID:33467455
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7830728/
Abstract

The objective of the present study was to perform a genome-wide association study (GWAS) for growth curve parameters using nonlinear models that fit original weight-age records. In this study, data from 808 Chinese Simmental beef cattle that were weighed at 0, 6, 12, and 18 months of age were used to fit the growth curve. The Gompertz model showed the highest coefficient of determination (R = 0.954). The parameters' mature body weight (A), time-scale parameter (b), and maturity rate (K) were treated as phenotypes for single-trait GWAS and multi-trait GWAS. In total, 9, 49, and 7 significant SNPs associated with A, b, and K were identified by single-trait GWAS; 22 significant single nucleotide polymorphisms (SNPs) were identified by multi-trait GWAS. Among them, we observed several candidate genes, including , , , , , , , and , which were previously reported to associate with growth and development. Further research for these candidate genes may be useful for exploring the full genetic architecture underlying growth and development traits in livestock.

摘要

本研究的目的是使用拟合原始体重-年龄记录的非线性模型对生长曲线参数进行全基因组关联研究（GWAS）。在本研究中，使用808头中国西门塔尔肉牛在0、6、12和18月龄时的体重数据来拟合生长曲线。Gompertz模型显示出最高的决定系数（R = 0.954）。将参数成熟体重（A）、时间尺度参数（b）和成熟率（K）作为单性状GWAS和多性状GWAS的表型。通过单性状GWAS总共鉴定出9个、49个和7个与A、b和K相关的显著单核苷酸多态性（SNP）；通过多性状GWAS鉴定出22个显著的单核苷酸多态性（SNP）。其中，我们观察到几个候选基因，包括 ， ， ， ， ， ， ，以及 ，这些基因先前被报道与生长发育相关。对这些候选基因的进一步研究可能有助于探索家畜生长发育性状的完整遗传结构。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6645/7830728/b9404b643e79/animals-11-00192-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6645/7830728/6a274b74ec96/animals-11-00192-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6645/7830728/92f9afa9309d/animals-11-00192-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6645/7830728/a8b09b5374c8/animals-11-00192-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6645/7830728/245e0d9a7c7e/animals-11-00192-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6645/7830728/75eccbfa146c/animals-11-00192-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6645/7830728/b9404b643e79/animals-11-00192-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6645/7830728/6a274b74ec96/animals-11-00192-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6645/7830728/92f9afa9309d/animals-11-00192-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6645/7830728/a8b09b5374c8/animals-11-00192-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6645/7830728/245e0d9a7c7e/animals-11-00192-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6645/7830728/75eccbfa146c/animals-11-00192-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6645/7830728/b9404b643e79/animals-11-00192-g006.jpg

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