2019
DOI: 10.1101/701045
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Genome-wide analysis reveals genetic diversity, linkage disequilibrium, and selection for milk traits in Chinese buffalo breeds

Abstract: 12 Water buffalo holds the tremendous potential of milk and meat that widespread 13 throughout central and southern China. However, characterization of the population 14 genetics of Chinese buffalo is poorly understood. Using Axiom ® buffalo genotyping 15 array, we performed the genetic diversity, linkage disequilibrium (LD) pattern and 16 signature of selection in the 176 Chinese buffaloes from thirteen breeds. A total of 17 35,547 SNPs passed quality control and were used for further analyses. Population 18 … Show more

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Cited by 1 publication
(4 citation statements)
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“…Among the 167 animals included in this study, we noted two different lineages based on admixture analysis. Similar findings were also found by Lu et al [ 49 ] for Chinese indigenous buffalo breeds. We further noted highly variable nucleotide diversity and Tajima’s D across various chromosomes, which also agrees with previous studies of Asian buffalo breeds that used microsatellite [ 56 58 ] and mitochondrial markers [ 59 , 60 ].…”
Section: Discussionsupporting
confidence: 91%
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“…Among the 167 animals included in this study, we noted two different lineages based on admixture analysis. Similar findings were also found by Lu et al [ 49 ] for Chinese indigenous buffalo breeds. We further noted highly variable nucleotide diversity and Tajima’s D across various chromosomes, which also agrees with previous studies of Asian buffalo breeds that used microsatellite [ 56 58 ] and mitochondrial markers [ 59 , 60 ].…”
Section: Discussionsupporting
confidence: 91%
“…Using the final SNP dataset, we performed PCA, which illustrated two clusters and some outliers (Fig 1 and S2 Table). Our results are consistent with those from Lu et al [49], who also classified water buffalos into two primary groups, with some outliers. To validate the results of PCA, we analyzed the population structure of the water buffalo with the Bayesian clustering algorithm implemented in the STUCTURE program.…”
Section: Genetic Diversitysupporting
confidence: 93%
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