2021
DOI: 10.1038/s41598-021-83823-8
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High diversity, inbreeding and a dynamic Pleistocene demographic history revealed by African buffalo genomes

Abstract: Genomes retain records of demographic changes and evolutionary forces that shape species and populations. Remnant populations of African buffalo (Syncerus caffer) in South Africa, with varied histories, provide an opportunity to investigate signatures left in their genomes by past events, both recent and ancient. Here, we produce 40 low coverage (7.14×) genome sequences of Cape buffalo (S. c. caffer) from four protected areas in South Africa. Genome-wide heterozygosity was the highest for any mammal for which … Show more

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Cited by 14 publications
(40 citation statements)
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References 80 publications
(106 reference statements)
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“…Inferences of demographic history using RoH length distributions are imprecise because spatial and temporal variation in generation times and the random nature of recombination result in high variation around the mean expected length of RoH (Druet & Gautier 2017). Moreover, sequencing coverage, sequencing error rates, biased genotype likelihood estimates as well as filtering, and parameter settings can all affect estimates of heterozygosity (Fuentes-Pardo & Ruzzante 2017; de Jager et al . 2021; Sánchez-Barreiro et al .…”
Section: Discussionmentioning
confidence: 99%
“…Inferences of demographic history using RoH length distributions are imprecise because spatial and temporal variation in generation times and the random nature of recombination result in high variation around the mean expected length of RoH (Druet & Gautier 2017). Moreover, sequencing coverage, sequencing error rates, biased genotype likelihood estimates as well as filtering, and parameter settings can all affect estimates of heterozygosity (Fuentes-Pardo & Ruzzante 2017; de Jager et al . 2021; Sánchez-Barreiro et al .…”
Section: Discussionmentioning
confidence: 99%
“…If so, then we predict low heterozygosity to be genome-region specific (i.e., near male-deleterious alleles) and not genome wide. It is relevant to note here that multilocus heterozygosity at microsatellites is a reliable indicator of genome-wide heterozygosity, considering that relative differences in multilocus heterozygosity among South African populations were similar between genome-wide sequence data and microsatellites (observed heterozygosity genome-wide sequence data: KNP = 0.00324, HiP = 0.00261, Addo NP = 0.00222; multilocus H e microsatellites: KNP = 0.686 [38 loci], HiP = 0.581 [38 loci], Addo NP = 0.447 [18 loci]; S8 Table ) [ 20 , 22 , 68 , 71 , 76 , 77 ].…”
Section: Discussionmentioning
confidence: 76%
“…Interestingly, pairwise sequentially Markovian coalescent (PSMC) models based on whole-genome sequences indicate relatively high instantaneous coalescence rates since ~20,000 years ago in South Africa, but not in Kenya [ 71 , 72 ]. According to population genetic theory, high coalescence rates are associated with low heterozygosity because heterozygosity is proportional to the coalescent time [ 73 ].…”
Section: Discussionmentioning
confidence: 99%
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