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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

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

作者信息

Green Hannah E, Oliveira Hinayah Rojas de, Alvarenga Amanda Botelho, Scramlin-Zuelly Stacy, Grossi Daniela, Schinckel Allan P, Brito Luiz F

机构信息

Department of Animal Sciences, Purdue University, West Lafayette, Indiana, USA.

Fast Genetics, Saskatoon, Saskatchewan, Canada.

出版信息

J Anim Breed Genet. 2024 Mar;141(2):163-178. doi: 10.1111/jbg.12831. Epub 2023 Oct 30.

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.

摘要

随着养猪业在关注生长、饲料效率和胴体瘦肉率性状的同时,继续探索猪肉品质性状,了解它们潜在的遗传关系变得至关重要。由于理想性状数量的增加,动物育种者还必须考虑有效对每个性状进行直接遗传改变的方法,并使用不同组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,本研究的主要目标是:(1)估计基于基因组的遗传参数;(2)利用主成分分析定义动物生物型;(3)利用全基因组关联研究将生物型与候选基因和数量性状位点(QTL)联系起来。表型数据集包括来自一个终端父系品系的雌性杜洛克猪的2583条表型记录。系谱文件包含193,764只动物,基因型文件包括21,309只动物以及35,651个单核苷酸多态性(SNP)。针对三个生长性状、八个常规胴体性状、十个猪肉品质性状和十八个新的胴体性状定义了八个主成分(PC),它们总共解释了群体变异的99.7%。从主成分中定义的八个生物型被发现与生长速度、成熟度、肉质和身体结构有关,然后又与候选基因相关。在发现的175个候选基因中,其中六个[乳酸脱氢酶A(SSC1)、磷脂酰肌醇3激酶C3(SSC6)、蛋白激酶Aγ3(SSC15)、脊椎发育相关转录因子(SSC7)、二氢硫辛酰胺转琥珀酰酶(SSC7)和妊娠相关血浆蛋白A(SSC1)]与四个主成分相关,被发现与先前定义的数量性状位点相关,将生物型与涉及肌肉生长、脂肪沉积、糖原水平和骨骼发育的生物学过程联系起来。进一步的功能分析有助于在生物型之间建立联系,通过共同的京都基因与基因组百科全书(KEGG)途径和基因本体(GO)术语将它们联系起来。这些发现有助于更好地理解杜洛克猪生长、胴体和肉质性状之间的遗传关系,使育种者能够更好地理解这些性状表型表达背后的生物学机制。

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