Genetic Features of Reproductive Traits in Bovine and Buffalo: Lessons From Bovine to Buffalo.
Genetic Features of Reproductive Traits in Bovine and Buffalo: Lessons From Bovine to Buffalo.
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牛和水牛繁殖性状的遗传特征:从牛到水牛的教训
DOI:
10.3389/fgene.2021.617128
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发表时间:
2021
影响因子:
3.7
通讯作者:
Hua G
中科院分区:
文献类型:
--
作者:
Shao B;Sun H;Ahmad MJ;Ghanem N;Abdel-Shafy H;Du C;Deng T;Mansoor S;Zhou Y;Yang Y;Zhang S;Yang L;Hua G
Bovine and buffalo are important livestock species that have contributed to human lives for more than 1000 years. Improving fertility is very important to reduce the cost of production. In the current review, we classified reproductive traits into three categories: ovulation, breeding, and calving related traits. We systematically summarized the heritability estimates, molecular markers, and genomic selection (GS) for reproductive traits of bovine and buffalo. This review aimed to compile the heritability and genome-wide association studies (GWASs) related to reproductive traits in both bovine and buffalos and tried to highlight the possible disciplines which should benefit buffalo breeding. The estimates of heritability of reproductive traits ranged were from 0 to 0.57 and there were wide differences between the populations. For some specific traits, such as age of puberty (AOP) and calving difficulty (CD), the majority beef population presents relatively higher heritability than dairy cattle. Compared to bovine, genetic studies for buffalo reproductive traits are limited for age at first calving and calving interval traits. Several quantitative trait loci (QTLs), candidate genes, and SNPs associated with bovine reproductive traits were screened and identified by candidate gene methods and/or GWASs. The IGF1 and LEP pathways in addition to non-coding RNAs are highlighted due to their crucial relevance with reproductive traits. The distribution of QTLs related to various traits showed a great differences. Few GWAS have been performed so far on buffalo age at first calving, calving interval, and days open traits. In addition, we summarized the GS studies on bovine and buffalo reproductive traits and compared the accuracy between different reports. Taken together, GWAS and candidate gene approaches can help to understand the molecular genetic mechanisms of complex traits. Recently, GS has been used extensively and can be performed on multiple traits to improve the accuracy of prediction even for traits with low heritability, and can be combined with multi-omics for further analysis.
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影响因子:
2.9
作者:
Cochran SD;Cole JB;Null DJ;Hansen PJ
通讯作者:
Hansen PJ
影响因子:
1.8
作者:
Abdel-Shafy, Hamdy;Awad, Mohamed A. A.;Abou-Bakr, Samy
通讯作者:
Abou-Bakr, Samy
影响因子:
3.3
作者:
Allan, M. F.;Thallman, R. M.;Smith, T. P. L.
通讯作者:
Smith, T. P. L.
影响因子:
3.6
作者:
Berry, D. P.;Wall, E.;Pryce, J. E.
通讯作者:
Pryce, J. E.
影响因子:
0.9
作者:
BARROS, CAMILA DA COSTA;ASPILCUETA-BORQUIS, RÚSBEL RAUL;TONHATI, HUMBERTO
通讯作者:
TONHATI, HUMBERTO