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孕激素相关子宫内膜蛋白基因的复合基因型及其与奶牛牛奶成分和品质的关联

Composite genotypes of progestogen-associated endometrial protein gene and their association with composition and quality of dairy cattle milk.

作者信息

Kolenda Magdalena, Sitkowska Beata, Kamola Dariusz, Lambert Barry D

机构信息

Department of Animal Biotechnology and Genetics, Faculty of Animal Breeding and Biology, UTP University of Science and Technology, Bydgoszcz 85-084, Poland.

Department of Physiological Sciences, Faculty of Veterinary Medicine, Warsaw University of Life Sciences, Warsaw 02-776, Poland.

出版信息

Anim Biosci. 2021 Aug;34(8):1283-1289. doi: 10.5713/ab.20.0596. Epub 2021 Feb 15.

Abstract

OBJECTIVE

The progestogen-associated endometrial protein (PAEP) gene encodes the main whey protein in milk, β-lactoglobulin. The aim of the study was to investigate polymorphism in the PAEP gene and its association with milk yield, composition, and quality.

METHODS

Test-day records for 782 dairy cows were analysed. A total of 10 single nucleotide polymorphisms (SNP) within the PAEP gene were investigated. The following parameters were recorded: milk yield (MY, kg/d), percent milk fat (%), protein (PP, %), dry matter (DMP, %) and lactose (LP, %), urea content (UC, mg/L) as well as natural logarithm for somatic cell count (LnSCC, ln). Effect on genomic estimated breeding values accuracy was evaluated with pedigree and single step model.

RESULTS

Results show that only three SNPs were polymorphic, creating 5 composite genotypes: P1 to P5. Differences in MY between composite genotypes were noted in the two tested herds. Cows with P5 composite genotypes were characterised by the highest PP and LnSCC and the lowest LP and UC (p<0.05). P4 was linked to an increased DMP and UC, while P3 to an increase in LP and decrease in PP and LnSCC. Both factors are important markers in herd management and have high influences on the herds economics. For 5 out of 7 traits the accuracy of prediction was improved by including the haplotype as a fixed effect.

CONCLUSION

Presented results may suggest a new way to optimise breeding programmes and demonstrate the impact of using genomic data during that process.

摘要

目的

孕激素相关子宫内膜蛋白(PAEP)基因编码牛奶中的主要乳清蛋白β-乳球蛋白。本研究旨在调查PAEP基因的多态性及其与产奶量、成分和质量的关联。

方法

分析了782头奶牛的测定日记录。共研究了PAEP基因内的10个单核苷酸多态性(SNP)。记录了以下参数:产奶量(MY,千克/天)、乳脂百分比(%)、蛋白质(PP,%)、干物质(DMP,%)和乳糖(LP,%)、尿素含量(UC,毫克/升)以及体细胞计数的自然对数(LnSCC,ln)。利用系谱和单步模型评估对基因组估计育种值准确性的影响。

结果

结果表明,只有3个SNP具有多态性,产生了5种复合基因型:P1至P5。在两个测试牛群中,复合基因型之间的产奶量存在差异。具有P5复合基因型的奶牛的特点是PP和LnSCC最高,而LP和UC最低(p<0.05)。P4与DMP和UC增加有关,而P3与LP增加以及PP和LnSCC降低有关。这两个因素都是牛群管理中的重要指标,对牛群经济效益有很大影响。对于7个性状中的5个,将单倍型作为固定效应纳入可提高预测准确性。

结论

本研究结果可能为优化育种计划提供新方法,并证明在此过程中使用基因组数据的影响。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0fb8/8255884/c2e7485bd05e/ab-20-0596f1.jpg

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