Genome-wide association study reveals the genetic determinism of serum biochemical indicators in ducks

Author:

Tang Hehe,Zhang He,Liu Dapeng,Wang Zhen,Yu Daxin,Fan Wenlei,Guo Zhanbao,Huang Wei,Hou Shuisheng,Zhou Zhengkui

Abstract

Abstract Background The serum is rich in nutrients and plays an essential role in electrolyte and acid–base balance, maintaining cellular homeostasis. In addition, serum parameters have been commonly used as essential biomarkers for clinical diagnosis. However, little is known about the genetic mechanism of the serum parameters in ducks. Results This study measured 18 serum parameters in 320 samples of the F2 segregating population generated by Mallard × Pekin duck. The phenotypic correlations showed a high correlation between LDH, HBDH, AST, and ALT (0.59–0.99), and higher coefficients were also observed among TP, ALB, HDL-C, and CHO (0.46–0.87). And then, we performed the GWAS to reveal the genetic basis of the 18 serum biochemical parameters in ducks. Fourteen candidate protein-coding genes were identified with enzyme traits (AST, ALP, LDH, HBDH), and 3 protein-coding genes were associated with metabolism and protein-related serum parameters (UA, TG). Moreover, the expression levels of the above candidate protein-coding genes in different stages of breast muscle and different tissues were analyzed. Furthermore, the genes located within the high-LD region (r2 > 0.4 and − log10(P) < 4) neighboring the significant locus also remained. Finally, 86 putative protein-coding genes were used for GO and KEGG enrichment analysis, the enzyme-linked receptor protein signaling pathway and ErbB signaling pathway deserve further focus. Conclusions The obtained results can contribute to new insights into blood metabolism and provide new genetic biomarkers for application in duck breeding programs.

Funder

Innovative Research Group Project of the National Natural Science Foundation of China

Young Top-notch Talent Project of the National Ten Thousand Talent Program, the China Agriculture Research System of MOF and MARA

CAAS Innovation Team Project

Publisher

Springer Science and Business Media LLC

Subject

Genetics,Biotechnology

Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3