Genomic background of biotypes related to growth, carcass and meat quality traits in Duroc pigs based on principal component analysis

IF 1.9 3区 农林科学 Q2 AGRICULTURE, DAIRY & ANIMAL SCIENCE Journal of Animal Breeding and Genetics Pub Date : 2023-10-30 DOI:10.1111/jbg.12831
Hannah E. Green, Hinayah Rojas de Oliveira, Amanda Botelho Alvarenga, Stacy Scramlin-Zuelly, Daniela Grossi, Allan P. Schinckel, Luiz F. Brito
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Abstract

As the swine industry continues to explore pork quality traits alongside growth, feed efficiency and carcass leanness traits, it becomes imperative to understand their underlying genetic relationships. Due to this increase in the number of desirable traits, animal breeders must also consider methods to efficiently perform direct genetic changes for each trait and evaluate alternative selection indexes with different sets of phenotypic measurements. Principal component analysis (PCA) and genome-wide association studies (GWAS) can be combined to understand the genetic architecture and biological mechanisms by defining biological types (biotypes) that relate these valuable traits. Therefore, the main objectives of this study were to: (1) estimate genomic-based genetic parameters; (2) define animal biotypes utilizing PCA; and (3) utilize GWAS to link the biotypes to candidate genes and quantitative trait loci (QTL). The phenotypic dataset included 2583 phenotypic records from female Duroc pigs from a terminal sire line. The pedigree file contained 193,764 animals and the genotype file included 21,309 animals with 35,651 single nucleotide polymorphisms (SNPs). Eight principal components (PCs), accounting for a total of 99.7% of the population variation, were defined for three growth, eight conventional carcass, 10 pork quality and 18 novel carcass traits. The eight biotypes defined from the PCs were found to be related to growth rate, maturity, meat quality and body structure, which were then related to candidate genes. Of the 175 candidate genes found, six of them [LDHA (SSC1), PIK3C3 (SSC6), PRKAG3 (SSC15), VRTN (SSC7), DLST (SSC7) and PAPPA (SSC1)] related to four PCs were found to be associated with previously defined QTL, linking the biotypes with biological processes involved with muscle growth, fat deposition, glycogen levels and skeletal development. Further functional analyses helped to make connections between biotypes, relating them through common KEGG pathways and gene ontology (GO) terms. These findings contribute to a better understanding of the genetic relationships between growth, carcass and meat quality traits in Duroc pigs, enabling breeders to better understand the biological mechanisms underlying the phenotypic expression of these traits.

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基于主成分分析的杜洛克猪生长、胴体和肉质性状相关生物型的基因组背景。
随着养猪业继续探索猪肉的质量特征以及生长、饲料效率和胴体瘦度特征,了解它们之间潜在的遗传关系变得至关重要。由于理想性状数量的增加,动物饲养者还必须考虑有效地对每个性状进行直接遗传改变的方法,并用不同的表型测量来评估替代选择指数。主成分分析(PCA)和全基因组关联研究(GWAS)可以结合起来,通过定义与这些有价值性状相关的生物类型(生物型)来了解遗传结构和生物学机制。因此,本研究的主要目的是:(1)估计基于基因组的遗传参数;(2) 利用主成分分析确定动物生物型;(3)利用GWAS将生物型与候选基因和数量性状基因座(QTL)联系起来。表型数据集包括2583个来自末端父系的雌性杜洛克猪的表型记录。谱系文件包含193764只动物,基因型文件包含21309只具有35651个单核苷酸多态性(SNPs)的动物。确定了3个生长性状、8个常规胴体性状、10个猪肉品质性状和18个新胴体性状的8个主成分(PC),占群体变异的99.7%。从PC中定义的八种生物型被发现与生长速度、成熟度、肉质和身体结构有关,然后与候选基因有关。在发现的175个候选基因中,与4个PC相关的6个基因[LDHA(SSC1)、PIK3C3(SSC6)、PRKAG3(SSC15)、VRTN(SSC7)、DLST(SSC7。进一步的功能分析有助于建立生物型之间的联系,通过常见的KEGG途径和基因本体论(GO)术语将它们联系起来。这些发现有助于更好地了解杜洛克猪的生长、胴体和肉质性状之间的遗传关系,使饲养者能够更好地了解这些性状表型表达的生物学机制。
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来源期刊
Journal of Animal Breeding and Genetics
Journal of Animal Breeding and Genetics 农林科学-奶制品与动物科学
CiteScore
5.20
自引率
3.80%
发文量
58
审稿时长
12-24 weeks
期刊介绍: The Journal of Animal Breeding and Genetics publishes original articles by international scientists on genomic selection, and any other topic related to breeding programmes, selection, quantitative genetic, genomics, diversity and evolution of domestic animals. Researchers, teachers, and the animal breeding industry will find the reports of interest. Book reviews appear in many issues.
期刊最新文献
Genomic Diversity of U.S. Katahdin Hair Sheep. The Effect of Preselection on the Level of Bias and Accuracy in a Broiler Breeder Population, a Simulation Study. Genomic Prediction Using Imputed Whole-Genome Sequence Data in Australian Angus Cattle. Genetic Characterisation of Feeding Patterns in Lactating Holstein Cows and Their Association With Feed Efficiency Traits. Methods of Calculating Prediction Error Variance and Prediction Accuracy for Restricted Best Linear Unbiased Prediction of Breeding Values.
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