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Genetic structure of fragmented southern populations of African Cape buffalo (Syncerus caffer caffer)

Overview of attention for article published in BMC Ecology and Evolution, November 2014
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Title
Genetic structure of fragmented southern populations of African Cape buffalo (Syncerus caffer caffer)
Published in
BMC Ecology and Evolution, November 2014
DOI 10.1186/s12862-014-0203-2
Pubmed ID
Authors

Nathalie Smitz, Daniel Cornélis, Philippe Chardonnet, Alexandre Caron, Michel de Garine-Wichatitsky, Ferran Jori, Alice Mouton, Alice Latinne, Lise-Marie Pigneur, Mario Melletti, Kimberly L Kanapeckas, Jonathan Marescaux, Carlos Lopes Pereira, Johan Michaux

Abstract

BackgroundAfrican wildlife experienced a reduction in population size and geographical distribution over the last millennium, particularly since the 19th century as a result of human demographic expansion, wildlife overexploitation, habitat degradation and cattle-borne diseases. In many areas, ungulate populations are now largely confined within a network of loosely connected protected areas. These metapopulations face gene flow restriction and run the risk of genetic diversity erosion. In this context, we assessed the ¿genetic health¿ of free ranging southern African Cape buffalo populations (S.c. caffer) and investigated the origins of their current genetic structure. The analyses were based on 264 samples from 6 southern African countries that were genotyped for 14 autosomal and 3 Y-chromosomal microsatellites.ResultsThe analyses differentiated three significant genetic clusters, hereafter referred to as Northern (N), Central (C) and Southern (S) clusters. The results suggest that splitting of the N and C clusters occurred around 6000 to 8400 years ago. Both N and C clusters displayed high genetic diversity (mean allelic richness (A r ) of 7.217, average genetic diversity over loci of 0.594, mean private alleles (P a ) of 11), low differentiation, and an absence of an inbreeding depression signal (mean F IS = 0.037). The third (S) cluster, a tiny population enclosed within a small isolated protected area, likely originated from a more recent isolation and experienced genetic drift (F IS = 0.062, mean A r = 6.160, P a = 2). This study also highlighted the impact of translocations between clusters on the genetic structure of several African buffalo populations. Lower differentiation estimates were observed between C and N sampling localities that experienced translocation over the last century.ConclusionsWe showed that the current genetic structure of southern African Cape buffalo populations results from both ancient and recent processes. The splitting time of N and C clusters suggests that the current pattern results from human-induced factors and/or from the aridification process that occurred during the Holocene period. The more recent S cluster genetic drift probably results of processes that occurred over the last centuries (habitat fragmentation, diseases). Management practices of African buffalo populations should consider the micro-evolutionary changes highlighted in the present study.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 85 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
France 1 1%
South Africa 1 1%
Unknown 83 98%

Demographic breakdown

Readers by professional status Count As %
Researcher 18 21%
Student > Ph. D. Student 15 18%
Student > Bachelor 12 14%
Student > Master 10 12%
Student > Postgraduate 8 9%
Other 15 18%
Unknown 7 8%
Readers by discipline Count As %
Agricultural and Biological Sciences 38 45%
Biochemistry, Genetics and Molecular Biology 10 12%
Environmental Science 9 11%
Veterinary Science and Veterinary Medicine 4 5%
Social Sciences 4 5%
Other 9 11%
Unknown 11 13%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 04 March 2016.
All research outputs
#7,960,512
of 25,374,647 outputs
Outputs from BMC Ecology and Evolution
#1,833
of 3,714 outputs
Outputs of similar age
#83,194
of 273,831 outputs
Outputs of similar age from BMC Ecology and Evolution
#35
of 71 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 3,714 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.5. This one is in the 48th percentile – i.e., 48% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 273,831 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 68% of its contemporaries.
We're also able to compare this research output to 71 others from the same source and published within six weeks on either side of this one. This one is in the 49th percentile – i.e., 49% of its contemporaries scored the same or lower than it.