全基因组关联研究确定了与约克郡猪饲料转化率和剩余采食量相关的位点。

IF 2.3 3区生物学 Q3 BIOTECHNOLOGY & APPLIED MICROBIOLOGY

Genome Pub Date : 2022-05-20 DOI:10.1139/gen-2021-0105

Kai Wang, Shujie Wang, Xiang‐Fen Ji, Dong Chen, Qi Shen, Yang Yu, Wei-hang Xiao, Pingxian Wu, G. Tang

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引用次数: 1

摘要

饲料在猪的生产成本中占有相当大的比重，猪的饲料效率具有极其重要的经济意义。因此，本研究的目的是鉴定与饲料系数(FCR)和剩余采食量(RFI)等饲料相关性状相关的单核苷酸多态性(snp)和候选基因。利用全基因组测序数据对169头约克郡猪的FCR和RFI进行了全基因组关联研究(GWAS)。FCR和RFI分别检测到23个和33个提示性显著snp (P<1×10^(-6))。然而，没有一个snp达到全基因组显著性阈值(P<5×10^(-8))。重要的是，三个常见的snp (SSC7:7987268, SSC13:42350250和SSC13:42551718)与FCR和RFI都相关。此外，与FCR和RFI性状相关的NEDD9基因存在重叠。本研究检测到了FCR和RFI常见的SSC7和SSC13上的新snp。这些结果为猪fe相关性状的遗传机制和候选基因提供了新的见解。

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Genome-wide association studies identified loci associated with both feed conversion ratio and residual feed intake in Yorkshire pigs.

Feed occupies a significant proportion in the production cost of pigs, and the feed efficiency (FE) in pigs are of utmost economic importance. Hence, the objective of this study is to identify single nucleotide polymorphisms (SNPs) and candidate genes associated with FE related traits, including feed conversion ratio (FCR) and residual feed intake (RFI). A genome-wide association study (GWAS) was conducted for FCR and RFI in 169 Yorkshire pigs using whole-genome sequencing data. A total of 23 and 33 suggestive significant SNPs (P<1×10^(-6)) were detected for FCR and RFI, respectively. However, none of the SNPs achieved the genome-wide significance threshold (P<5×10^(-8)). Importantly, three common SNPs (SSC7:7987268, SSC13:42350250, and SSC13:42551718) were associated with both FCR and RFI. Additionally, the NEDD9 gene related to FCR and RFI traits was overlapped. This study detected novel SNPs on SSC7 and SSC13 common for FCR and RFI. These results provide new insights into the genetic mechanisms and candidate genes of FE-related traits in pigs.

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来源期刊

Genome 生物-生物工程与应用微生物

CiteScore

5.30

自引率

3.20%

发文量

审稿时长

6-12 weeks

期刊介绍： Genome is a monthly journal, established in 1959, that publishes original research articles, reviews, mini-reviews, current opinions, and commentaries. Areas of interest include general genetics and genomics, cytogenetics, molecular and evolutionary genetics, developmental genetics, population genetics, phylogenomics, molecular identification, as well as emerging areas such as ecological, comparative, and functional genomics.