Genetic tools to improve reproduction traits in dairy cattle

被引:15
|
作者
Capitan, A. [1 ,2 ]
Michot, P. [1 ,2 ]
Baur, A. [1 ,2 ]
Saintilan, R. [1 ,2 ]
Hoze, C. [1 ,2 ]
Valour, D. [1 ,4 ]
Guillaume, F. [3 ]
Boichon, D. [5 ]
Barbat, A. [2 ]
Boichard, D. [2 ]
Schibler, L. [1 ]
Fritz, S. [1 ,2 ]
机构
[1] UNCEIA, F-75012 Paris, France
[2] INRA, Genet Anim & Biol Integrat UMR1313, F-78352 Jouy En Josas, France
[3] EVOLUTION, F-35706 Rennes, France
[4] INRA, UMR Biol Dev & Reprod 1198, F-78352 Jouy En Josas, France
[5] MIDATEST, F-81580 Les Nauzes, Soual, France
关键词
FEMALE CATTLE; FERTILITY; IDENTIFICATION; MUTATION; ASSOCIATION; DEFICIENCY; PREVALENCE; STRATEGIES; IMPUTATION;
D O I
10.1071/RD14379
中图分类号
Q [生物科学];
学科分类号
07 ; 0710 ; 09 ;
摘要
Fertility is a major concern in the dairy cattle industry and has been the subject of numerous studies over the past 20 years. Surprisingly, most of these studies focused on rough female phenotypes and, despite their important role in reproductive success, male- and embryo-related traits have been poorly investigated. In recent years, the rapid and important evolution of technologies in genetic research has led to the development of genomic selection. The generalisation of this method in combination with the achievements of the AI industry have led to the constitution of large databases of genotyping and sequencing data, as well as refined phenotypes and pedigree records. These resources offer unprecedented opportunities in terms of fundamental and applied research. Here we present five such examples with a focus on reproduction-related traits: (1) detection of quantitative trait loci (QTL) for male fertility and semen quality traits; (2) detection of QTL for refined phenotypes associated with female fertility; (3) identification of recessive embryonic lethal mutations by depletion of homozygous haplotypes; (4) identification of recessive embryonic lethal mutations by mining whole-genome sequencing data; and (5) the contribution of high-density single nucleotide polymorphism chips, whole-genome sequencing and imputation to increasing the power of QTL detection methods and to the identification of causal variants.
引用
收藏
页码:14 / 21
页数:8
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