通过遗传率估算和 LDLA 图谱分析以及利用基于序列的数据对候选区域进行调查,在了解绵羊对副结核病抗体反应的遗传结构方面取得进展

IF 3.6 1区 农林科学 Q1 AGRICULTURE, DAIRY & ANIMAL SCIENCE
Mario Graziano Usai, Sara Casu, Tiziana Sechi, Sotero L. Salaris, Sabrina Miari, Giuliana Mulas, Maria Giovanna Cancedda, Ciriaco Ligios, Antonello Carta
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引用次数: 0

摘要

副结核病是一种由副结核分枝杆菌(MAP)引起的传染性不治之症,对动物福利和农场收益有重大负面影响。我们以 12 年来受自然感染的大群为基础,分析了重复酶联免疫吸附试验 (ELISA)、OvineSNP50 BeadChip 基因分型和 56 只受影响动物的全基因组序列。主要目的是估算抗MAP替代性状的遗传参数,确定与宿主对MAP的免疫反应相关的基因组区域,并通过对测序确定的多态性进行关联和功能注释分析,寻找候选基因和致病突变。从 ELISA 检测中得出了两个变量。第一个变量是二进制变量,评估每只动物在整个生产过程中的感染状况,第二个变量则考虑了一段时间内记录的抗体水平。两个变量的结果非常相似。遗传率估计值约为 0.20,通过对 OvineSNP50 位置的连锁不平衡和连锁分析,在绵羊 20 号染色体上发现了一个重要区域,分别占遗传变异的 18% 和 13%。对在该区域发现的估算序列多态性进行了功能注释和关联分析。没有发现明显的变异对映射到该区域的基因有功能性影响,这些基因大多属于主要组织相容性复合体 II 类(MHC II)。不过,通过条件分析发现了两个重要的多态性,它们可以解释与所调查基因组区域相关的遗传变异。我们的研究结果证实,宿主的遗传参与了绵羊对 MAP 的易感性,并表明选择性育种可能是限制感染的一种选择。估计的遗传率是中等的,其中相关部分是由于绵羊 20 号染色体上的一个高度显著的区域造成的。综合利用序列数据和功能分析的结果表明,属于 MHC II 的几个基因最有可能是候选基因,尽管其编码区的突变没有显示出显著的关联性。不过,从该区域两个高度显著的多态性基因型中获得的信息可以提高选择性育种计划的效率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Advances in understanding the genetic architecture of antibody response to paratuberculosis in sheep by heritability estimate and LDLA mapping analyses and investigation of candidate regions using sequence-based data
Paratuberculosis is a contagious and incurable disease that is caused by Mycobacterium avium subsp. paratuberculosis (MAP) with significant negative effects on animal welfare and farm profitability. Based on a large naturally infected flock over 12 years, we analyzed repeated enzyme-linked immunosorbent assay tests (ELISA), OvineSNP50 BeadChip genotypes and whole-genome sequences imputed from 56 influential animals. The main goals were to estimate the genetic parameters of proxy traits for resistance to MAP, identify genomic regions associated with the host’s immune response against MAP and search for candidate genes and causative mutations through association and functional annotation analyses of polymorphisms identified by sequencing. Two variables were derived from ELISA tests. The first, a binary variable, assessed the infection status of each animal over the entire productive life, while the second considered the level of antibody recorded over time. Very similar results were obtained for both variables. Heritability estimates of about 0.20 were found and a significant region capturing 18% and 13% of the genetic variance was detected on ovine chromosome 20 by linkage disequilibrium and linkage analysis on OvineSNP50 positions. Functional annotation and association analyses on the imputed sequence polymorphisms that were identified in this region were carried out. No significant variants showed a functional effect on the genes that mapped to this region, most of which belong to the major histocompatibility complex class II (MHC II). However, the conditional analysis led to the identification of two significant polymorphisms that can explain the genetic variance associated with the investigated genomic region. Our results confirm the involvement of the host’s genetics in susceptibility to MAP in sheep and suggest that selective breeding may be an option to limit the infection. The estimated heritability is moderate with a relevant portion being due to a highly significant region on ovine chromosome 20. The results of the combined use of sequence-based data and functional analyses suggest several genes belonging to the MHC II as the most likely candidates, although no mutations in their coding regions showed a significant association. Nevertheless, information from genotypes of two highly significant polymorphisms in the region can enhance the efficiency of selective breeding programs.
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来源期刊
Genetics Selection Evolution
Genetics Selection Evolution 生物-奶制品与动物科学
CiteScore
6.50
自引率
9.80%
发文量
74
审稿时长
1 months
期刊介绍: Genetics Selection Evolution invites basic, applied and methodological content that will aid the current understanding and the utilization of genetic variability in domestic animal species. Although the focus is on domestic animal species, research on other species is invited if it contributes to the understanding of the use of genetic variability in domestic animals. Genetics Selection Evolution publishes results from all levels of study, from the gene to the quantitative trait, from the individual to the population, the breed or the species. Contributions concerning both the biological approach, from molecular genetics to quantitative genetics, as well as the mathematical approach, from population genetics to statistics, are welcome. Specific areas of interest include but are not limited to: gene and QTL identification, mapping and characterization, analysis of new phenotypes, high-throughput SNP data analysis, functional genomics, cytogenetics, genetic diversity of populations and breeds, genetic evaluation, applied and experimental selection, genomic selection, selection efficiency, and statistical methodology for the genetic analysis of phenotypes with quantitative and mixed inheritance.
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