2021
DOI: 10.3389/fgene.2021.696109
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Genome-Wide Association Studies in Indian Buffalo Revealed Genomic Regions for Lactation and Fertility

Abstract: Murrah breed of buffalo is an excellent dairy germplasm known for its superior milk quality in terms of milk fat and solids-not-fat (SNF); however, it is often reported that Indian buffaloes had lower lactation and fertility potential compared to the non-native cattle of the country. Recent techniques, particularly the genome-wide association studies (GWAS), to identify genomic variations associated with lactation and fertility traits offer prospects for systematic improvement of buffalo. DNA samples were sequ… Show more

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Cited by 19 publications
(11 citation statements)
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“…The other genes in the region were also related to body size ( LYN , MOS ) but also fertility and dystocia ( RPS20 ) [ 72 ]. The second signal indicated just by a single SNP on chromosome 9 was around 67.7Mb around the SYBU gene, which was related to milk fat synthesis, transport, and metabolism [ 73 , 74 ].…”
Section: Resultsmentioning
confidence: 99%
“…The other genes in the region were also related to body size ( LYN , MOS ) but also fertility and dystocia ( RPS20 ) [ 72 ]. The second signal indicated just by a single SNP on chromosome 9 was around 67.7Mb around the SYBU gene, which was related to milk fat synthesis, transport, and metabolism [ 73 , 74 ].…”
Section: Resultsmentioning
confidence: 99%
“…EIF5A2 has been reported as a candidate gene for age at sexual maturity in Indian Buffalo [39] and for infertility in human [40]. RPL22L1 is also described as a candidate gene for age at sexual maturity in Indian Buffalo [39]. Furthermore, RPL22L1 is reported as associated gene in low-fertility buffalo bull spermatozoa [41].…”
Section: Differentiated Genomic Regionsmentioning
confidence: 99%
“…EIF5A2 is associated with fertility traits. EIF5A2 has been reported as a candidate gene for age at sexual maturity in Indian Buffalo [39] and for infertility in human [40]. RPL22L1 is also described as a candidate gene for age at sexual maturity in Indian Buffalo [39].…”
Section: Differentiated Genomic Regionsmentioning
confidence: 99%
“…Bioinformatics, combined with next-generation sequencing, can provide high-throughput genomic data. These data can be used to identify the genes for the favorable traits in buffalo, for instance, the systematic analysis of candidate genes for buffalo milk production and fertility traits [ 23 , 24 ], whole-genome sequencing and characterization for selective breeding in buffalo [ 25 ], and characterization of the diacylglycerol acyltransferases gene family, collagen gene family, and heat-shock protein gene family [ 26 , 27 , 28 ]. The above studies, together with a nearly complete genome map of the buffalo [ 29 , 30 , 31 , 32 ], make it possible to study gene families at the genome-wide level in buffalo.…”
Section: Introductionmentioning
confidence: 99%