Investigation of phenotypic, genetic and genomic background of Milk spectra in Sarda dairy sheep

IF 1.9 3区 农林科学 Q2 AGRICULTURE, DAIRY & ANIMAL SCIENCE Journal of Animal Breeding and Genetics Pub Date : 2023-12-26 DOI:10.1111/jbg.12843
Michele Congiu, Laura Falchi, Silvia Carta, Alberto Cesarani, Corrado Dimauro, Fabio Correddu, Nicolò Pietro Paolo Macciotta
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Abstract

Aim of this study was to analyse the genetic background of milk Fourier transform infrared (FTIR) spectra in dairy sheep. Individual milk FTIR spectra, with 1060 wavenumbers each, were available for 793 adult Sarda breed ewes genotyped at 45,813 SNP. The absorbance values of each wavenumber was analysed using a linear mixed model that included dim class, parity and lambing month as fixed effects and flock-test date and animal as random effects. The model was applied to estimate variance components and heritability and to perform a genome-wide association study for each wavenumber. Average h2 of wavenumbers absorbance was 0.13 ± 0.08, with the largest values observed in the regions associated with the characteristic bonds of carbonylic and methylenic groups of milk fat (h2 = 0.57 at 1724–1728 cm−1; and h2 = 0.34 at 2811–2834 cm−1, respectively). The absorbance values of wavenumbers were moderately correlated with the estimated heritabilities. After the Bonferroni correction, a total of nine markers were found to be significantly associated with 32 different wavenumbers. Of particular interest was the SNP s63269.1, mapped on chromosome 2, that was found to be associated with 27 wavenumbers. Genes previously found to be related to traits of interest (e.g. disease resistance, milk yield and quality, cheese firmness) are located close to the significant SNP. As expected, the heritability estimated for the absorbance of each wavenumbers seems to be associated with the related milk components.

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萨达奶羊牛奶光谱的表型、遗传和基因组背景调查。
本研究旨在分析奶羊牛奶傅立叶变换红外光谱(FTIR)的遗传背景。对 793 只成年撒达种母羊进行了 45,813 个 SNP 的基因分型,获得了每只母羊 1060 个波长的牛奶傅立叶变换红外光谱。使用线性混合模型分析了每个波长的吸光度值,该模型将昏暗等级、奇数和产羔月份作为固定效应,羊群测试日期和动物作为随机效应。该模型用于估计方差成分和遗传率,并对每个波长进行全基因组关联研究。文氏吸光度的平均 h2 为 0.13 ± 0.08,最大值出现在与乳脂羰基和甲烯基特征键相关的区域(分别为 1724-1728 cm-1 处的 h2 = 0.57 和 2811-2834 cm-1 处的 h2 = 0.34)。波数的吸光度值与估计的遗传率呈中度相关。经 Bonferroni 校正后,发现共有 9 个标记与 32 个不同的波长显著相关。特别值得关注的是绘制在 2 号染色体上的 SNP s63269.1,发现它与 27 个波长相关。以前发现的与相关性状(如抗病性、牛奶产量和质量、奶酪硬度)有关的基因都位于该重要 SNP 附近。正如预期的那样,每个波数的吸光度估计遗传率似乎与相关的牛奶成分有关。
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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
Issue Information Influence of variance component estimates on genomic predictions for growth and reproductive-related traits in Nellore cattle. Genomic selection strategies for the German Merino sheep breeding programme - A simulation study. Correction to: Rahbar et al., 2023. Defining desired genetic gains for Pacific white shrimp (Litopeneaus vannamei) breeding objectives using participatory approaches. Journal of Animal Breeding and Genetics. 2024;141:390-402. Combining genomics and semen microbiome increases the accuracy of predicting bull prolificacy.
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