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16 results for “Syncerus caffer caffer”
Fig. 1 in The Rhipicephalus appendiculatus tick vector of Theileria parva is absent from cape buffalo (Syncerus caffer) populations and associated ecosystems in northern Uganda
Fig. 1 Map showing the sampling sites. The three national parks are indicated with red dots and the cattle sampling sites adjacent to the parks depicted as green dots
Fig. 2 in Epidemiology of Anaplasma marginale and Anaplasma centrale infections in African buffalo (Syncerus caffer) from Kruger National Park, South Africa
Fig. 2. Individual value plots showing the distribution of results for intensity of infection (log-transformed number of copies/reaction) with Anaplasma marginale (a) and Anaplasma centrale (b), using a real-time qPCR from a managed African buffalo (Syncerus caffer) herd from Kruger National Park, South Africa. Error bars represent one standard error, numbers at the top of figure represent sample size.
Fig. 1 in Epidemiology of Anaplasma marginale and Anaplasma centrale infections in African buffalo (Syncerus caffer) from Kruger National Park, South Africa
Fig. 1. The proportion of animals infected with Anaplasma spp. from a managed African buffalo (Syncerus caffer) herd from Kruger National Park, South Africa. a) The mean prevalence of animals with A. marginale single infection, A. centrale single infection, or co-infections with each other over four age groups: calves (0–1 years old), sub-adults (1–5.5 years old), adults (5.5–15 years) and geriatrics (15 years plus); b) the mean prevalence of new infections with A. marginale or A. centrale for each capture event over the two-and-a-half-year study period. Numbers at the top of figure represent sample size.
Fig. 3 in Epidemiology of Anaplasma marginale and Anaplasma centrale infections in African buffalo (Syncerus caffer) from Kruger National Park, South Africa
Fig. 3. Patterns of infection with Anaplasma spp. based on age and sex for a managed African buffalo (Syncerus caffer) herd from Kruger National Park, South Africa. a) The infection intensity (log-transformed number of copies/reaction) of A. marginale and A. centrale based on age (years); b) overall proportion of animals infected with A. marginale or A. centrale based on sex; c) infection intensity (log-transformed number of copies/reaction) results for A. marginale or A. centrale based on sex. * indicates statistical significance (p <0.05). Error bars are standard error.
Microsatellite data from various African buffalo (Syncerus caffer) populations throughout Africa
<p>1280 African buffalo (<em>Syncerus caffer</em>) samples genotyped with up to 19 microsatellites. 1275 samples are from East (12 populations) and southern Africa (4 populations). 5 samples are from central Africa (2 populations).</p>
Data from: Why did the buffalo cross the park? Resource shortages, but not infections, drive dispersal in female African buffalo (Syncerus caffer)
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Microsatellite data from various African buffalo (Syncerus caffer) populations throughout Africa
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Data from: Genetic structure of fragmented southern populations of African Cape buffalo (Syncerus caffer caffer)
Background: African 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. Results: The 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 (Ar) of 7.217, average genetic diversity over loci of 0.594, mean private alleles (Pa) of 11), low differentiation, and an absence of an inbreeding depression signal (mean FIS = 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 (FIS = 0.062, mean Ar = 6.160, Pa = 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. Conclusions: We 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.
Data from: Genome-wide single nucleotide polymorphism (SNP) identification and characterization in a non-model organism, the African buffalo (Syncerus caffer), using next generation sequencing
This study aimed to develop a set of SNP markers with high resolution and accuracy within the African buffalo. Such a set can be used, among others, to depict subtle population genetic structure for a better understanding of buffalo population dynamics. In total, 18.5 million DNA sequences of 76 bp were generated by next generation sequencing on an Illumina Genome Analyzer II from a reduced representation library using DNA from a panel of 13 African buffalo representative of the four subspecies. We identified 2534 SNPs with high confidence within the panel by aligning the short sequences to the cattle genome (Bos taurus). The average sequencing depth of the complete aligned set of reads was estimated at 5x, and at 13x when only considering the final set of putative SNPs that passed the filtering criterion. Our set of SNPs was validated by PCR amplification and Sanger sequencing of 15 SNPs. Of these 15 SNPs, 14 amplified successfully and 13 were shown to be polymorphic (success rate: 87%). The fidelity of the identified set of SNPs and potential future applications are finally discussed.
Data from: Behaviour-related scalar habitat use by Cape buffalo (Syncerus caffer caffer)
Studies of habitat use by animals must consider behavioural resource requirements at different scales, which could influence the functional value of different sites. Using Cape buffalo (Syncerus caffer caffer) in the Okavango Delta, Botswana, we tested the hypotheses that behaviour affected use between and within habitats, hereafter referred to as macro- and microhabitats, respectively. We fitted GPS-enabled collars to fifteen buffalo and used the distances and turning angles between consecutive fixes to cluster the resulting data into resting, grazing, walking and relocating behaviours. Distance to water and six vegetation characteristic variables were recorded in sites used for each behaviour, except for relocating, which occurred too infrequently. We used multilevel logistic regressions to identify variables that characterised macro- and microhabitats. Our results showed that macrohabitat use was linked to behaviour, although this was least apparent during the rainy season, when resources were most abundant. Behaviour-related microhabitat use was less significant, but variation in forage characteristics could predict behaviour within all macrohabitats. The variables predicting behaviour were not consistent, but resting and grazing sites were more readily identifiable than walking sites, highlighting the importance of resting, as well as foraging, site availability in buffalo spatial processes. Our results emphasise the importance of considering several behaviours and scales in studies of habitat use to understand the links between environmental resources and animal behavioural and spatial ecology.
Data from: Behaviour-related scalar habitat use by Cape buffalo (Syncerus caffer caffer)
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Data from: Effects of divergent migratory strategies on access to resources for Cape buffalo (Syncerus caffer caffer)
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Data from: Genetic structure of fragmented southern populations of African Cape buffalo (Syncerus caffer caffer)
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Data from: Cape buffalo (Syncerus caffer caffer) social dynamics in a flood-pulsed environment
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Data from: Genome-wide single nucleotide polymorphism (SNP) identification and characterization in a non-model organism, the African buffalo (Syncerus caffer), using next generation sequencing
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Supporting data: Behaviour-related scalar habitat selection by Cape buffalo (Syncerus caffer caffer)
<p>Excel files containing source data for habitat selection</p> <p> </p>
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