Colonial-driven extinction of the blue antelope despite genomic adaptation to low population size.

Low genomic diversity is generally indicative of small population size and is considered detrimental by decreasing long-term adaptability.1,2,3,4,5,6 Moreover, small population size may promote gene flow with congeners and outbreeding depression.7,8,9,10,11,12,13 Here, we examine the connection between habitat availability, effective population size (Ne), and extinction by generating a 40× nuclear genome from the extinct blue antelope (Hippotragus leucophaeus). Historically endemic to the relatively small Cape Floristic Region in southernmost Africa,14,15 populations were thought to have expanded and contracted across glacial-interglacial cycles, tracking suitable habitat.16,17,18 However, we found long-term low Ne, unaffected by glacial cycles, suggesting persistence with low genomic diversity for many millennia prior to extinction in ∼AD 1800. A lack of inbreeding, alongside high levels of genetic purging, suggests adaptation to this long-term low Ne and that human impacts during the colonial era (e.g., hunting and landscape transformation), rather than longer-term ecological processes, were central to its extinction. Phylogenomic analyses uncovered gene flow between roan (H. equinus) and blue antelope, as well as between roan and sable antelope (H. niger), approximately at the time of divergence of blue and sable antelope (∼1.9 Ma). Finally, we identified the LYST and ASIP genes as candidates for the eponymous bluish pelt color of the blue antelope. Our results revise numerous aspects of our understanding of the interplay between genomic diversity and evolutionary history and provide the resources for uncovering the genetic basis of this extinct species' unique traits.

The complete mitogenomes of the two grysbok species: Raphicerus melanotis Thunberg 1811 (Cape grysbok) and Raphicerus sharpei Thomas 1897 (Sharpe's grysbok).

In this study, we report the novel, complete mitochondrial genomes of two dwarf African antelope species: Raphicerus melanotis (Cape grysbok) and R. sharpei (Sharpe's grysbok). The circular mitogenomes were 16,384 and 16,392 base pairs in length, respectively, and each contained the expected 37 genes typically found in mammalian mitogenomes. The maximum-likelihood phylogenetic analysis placed R. sharpei as the sister lineage to R. campestris, known as steenbok, which is the only other member of the Raphicerus genus, with 83% bootstrap support, to the exclusion of R. melanotis (100% bootstrap support). This corroborated previous findings based on the cytochrome b gene only. The number of base differences per site between the coding regions of the mitogenomes of R. sharpei and R. campestris was 0.0519, while it was 0.0701 between R. sharpei and R. melanotis and 0.0709 between R. melanotis and R. campestris. The novel grysbok mitogenomes will be valuable resources in future phylogenetic analyses, and phylogeographic and conservation genetics studies.

The Contribution of Digital Sequence Information to Conservation Biology: A Southern African Perspective.

Many recent contributions have made a compelling case that genetic diversity is not adequately reflected in international frameworks and policies, as well as in local governmental processes implementing such frameworks. Using digital sequence information (DSI) and other publicly available data is supported to assess genetic diversity, toward formulation of practical actions for long-term conservation of biodiversity, with the particular goal of maintaining ecological and evolutionary processes. Given the inclusion of specific goals and targets regarding DSI in the latest draft of the Global Biodiversity Framework negotiated at the 15th Conference of the Parties (COP15) in Montreal in December 2022 and the crucial decisions on access and benefit sharing to DSI that will be taken in the coming months and future COP meetings, a southern African perspective on how and why open access to DSI is essential for the conservation of intraspecific biodiversity (genetic diversity and structure) across country borders is provided.

Colonialism in South Africa leaves a lasting legacy of reduced genetic diversity in Cape buffalo.

The iconic Cape buffalo has experienced several documented population declines in recent history. These declines have been largely attributed to the late 19th century rinderpest pandemic. However, the effect of the rinderpest pandemic on their genetic diversity remains contentious, and other factors that have potentially affected this diversity include environmental changes during the Pleistocene, range expansions and recent human activity. Motivated by this, we present analyses of whole genome sequencing data from 59 individuals from across the Cape buffalo range to assess present-day levels of genome-wide genetic diversity and what factors have influenced these levels. We found that the Cape buffalo has high average heterozygosity overall (0.40%), with the two southernmost populations having significantly lower heterozygosity levels (0.33% and 0.29%) on par with that of the domesticated water buffalo (0.29%). Interestingly, we found that these lower levels are probably due to recent inbreeding (average fraction of runs of homozygosity 23.7% and 19.9%) rather than factors further back in time during the Pleistocene. Moreover, detailed investigations of recent demographic history show that events across the past three centuries were the main drivers of the exceptional loss of genetic diversity in the southernmost populations, coincident with the onset of colonialism in the southern extreme of the Cape buffalo range. Hence, our results add to the growing body of studies suggesting that multiple recent human-mediated impacts during the colonial period caused massive losses of large mammal abundance in southern Africa.

Potential drivers of samango monkey (Cercopithecus albogularis) population subdivision in a highly fragmented mountain landscape in northern South Africa.

Forests affected by fragmentation are at risk of losing their primate populations over the long term. The impact of fragmentation on primate populations has been studied in several places in Africa, Asia and South America; however, there has been no discernible pattern of how primates react to forest disturbance and fragmentation. In fragmented habitats, the local extinction probability of a species increases due to a decrease in patch area and an increase in genetic isolation. Here we used microsatellite markers and mitochondrial DNA sequences to investigate how habitat fragmentation impacts on the genetic diversity and structure of a samango monkey population inhabiting forest patches in the Soutpansberg mountain range of northern South Africa. We sampled four local populations across the length of the mountain range and an additional outlying population from the Great Escarpment to the south. Our results indicate that local populations along the mountain range were historically more connected and less distinct than at present. In more recent times, a lack of contemporary gene flow is leading to a more pronounced genetic structure, causing population subdivision across the mountain and likely isolating the Soutpansberg population from the escarpment population to the south. Based on our results, we suggest that natural and anthropogenic fragmentation are driving population genetic differentiation, and that the matrix surrounding forests and their suitability for samango monkey utilisation play a role at the local scale. The degree of genetic isolation found for samango monkey populations in our study raises concerns about the long-term viability of populations across the mountain range.

High diversity, inbreeding and a dynamic Pleistocene demographic history revealed by African buffalo genomes.

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 these data are available, while differences in individual inbreeding coefficients reflected the severity of historical bottlenecks and current census sizes in each population. PSMC analysis revealed multiple changes in Ne between approximately one million and 20 thousand years ago, corresponding to paleoclimatic changes and Cape buffalo colonisation of southern Africa. The results of this study have implications for buffalo management and conservation, particularly in the context of the predicted increase in aridity and temperature in southern Africa over the next century as a result of climate change.

Genetic diversity, relatedness and inbreeding of ranched and fragmented Cape buffalo populations in southern Africa.

Wildlife ranching, although not considered a conventional conservation system, provides a sustainable model for wildlife utilization and could be a source of valuable genetic material. However, increased fragmentation and intensive management may threaten the evolutionary potential and conservation value of species. Disease-free Cape buffalo (Syncerus caffer caffer) in southern Africa exist in populations with a variety of histories and management practices. We compared the genetic diversity of buffalo in national parks to private ranches and found that, except for Addo Elephant National Park, genetic diversity was high and statistically equivalent. We found that relatedness and inbreeding levels were not substantially different between ranched populations and those in national parks, indicating that breeding practices likely did not yet influence genetic diversity of buffalo on private ranches in this study. High genetic differentiation between South African protected areas highlighted their fragmented nature. Structure analysis revealed private ranches comprised three gene pools, with origins from Addo Elephant National Park, Kruger National Park and a third, unsampled gene pool. Based on these results, we recommend the Addo population be supplemented with disease-free Graspan and Mokala buffalo (of Kruger origin). We highlight the need for more research to characterize the genetic diversity and composition of ranched wildlife species, in conjunction with wildlife ranchers and conservation authorities, in order to evaluate the implications for management and conservation of these species across different systems.

Friends and family: A software program for identification of unrelated individuals from molecular marker data.

The identification of related and unrelated individuals from molecular marker data is often difficult, particularly when no pedigree information is available and the data set is large. High levels of relatedness or inbreeding can influence genotype frequencies and thus genetic marker evaluation, as well as the accurate inference of hidden genetic structure. Identification of related and unrelated individuals is also important in breeding programmes, to inform decisions about breeding pairs and translocations. We present Friends and Family, a Windows executable program with a graphical user interface that identifies unrelated individuals from a pairwise relatedness matrix or table generated in programs such as coancestry and genalex. Friends and Family outputs a list of samples that are all unrelated to each other, based on a user-defined relatedness cut-off value. This unrelated data set can be used in downstream analyses, such as marker evaluation or inference of genetic structure. The results can be compared to that of the full data set to determine the effect related individuals have on the analyses. We demonstrate one of the applications of the program: how the removal of related individuals altered the Hardy-Weinberg equilibrium test outcome for microsatellite markers in an empirical data set. Friends and Family can be obtained from https://github.com/DeondeJager/Friends-and-Family.