Genome-wide association study for Streptococcus iniae in Nile tilapia ( Oreochromis niloticus ) identifies a significant QTL for disease resistance.

Frontiers in genetics(2023)

引用 1|浏览4
暂无评分
摘要
is a problematic gram-positive bacterium negatively affecting Nile tilapia (), one of the main aquacultural species produced worldwide. The aim of this study was to identify the genetic architecture of survival to and identify single nucleotide polymorphism (SNPs) linked to quantitative trait loci (QTL) related to survival to challenge. With this purpose, Nile tilapia from the Spring Genetics breeding program were sent to a controlled challenge test where phenotypes were scored as dead for fish that died during challenge test and survivors for the fish alive at the termination of the test. Additionally, fin-clip samples from all fish in the test were collected for DNA extraction. Out of 1904 fish in the challenge test, tissue samples of 321 fish were sent for genotyping using double digest restriction site associated DNA sequencing (ddRADseq). After quality control and filtering, 9,085 SNPs were used to perform a genome-wide association study (GWAS). A significant signal in LG8 was observed indicating association with survival to challenge, with SNPs explaining from 12% to 26% of the genetic variance. To demonstrate the usefulness of marker assisted selection (MAS) to selectively breed fish for survival to offspring of breeding candidates classified as "resistant" and "susceptible" based on haplotypes of the four most significant markers were sent to a controlled challenge test. At the end of the test, the differences in mortality between the two groups were strikingly different with a final cumulative percent mortality of less than 1% and 73% for offspring from "resistant" and "susceptible" parents, respectively. These results demonstrate that MAS for improved resistance to is feasible.
更多
查看译文
关键词
Nile tilapia,Streptococcus iniae,genome-wide association study (GWAS),marker assisted selection (MAS),quantitative trait loci (QTL),survival
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要