Anna Brüniche-Olsen

Cape buffalo mitogenomics reveals a Holocene shift in the African human–megafauna dynamics

Africa is unique among the continents in having maintained an extraordinarily diverse and prolific megafauna spanning the Pleistocene–Holocene epochs. Little is known about the historical dynamics of this community and even less about the reasons for its unique persistence to modern times. We sequenced complete mitochondrial genomes from 43 Cape buffalo (Syncerus caffer caffer) to infer the demographic history of this large mammal. A combination of Bayesian skyline plots, simulations and Approximate Bayesian Computation (ABC) were used to distinguish population size dynamics from the confounding effect of population structure and identify the most probable demographic scenario. Our analyses revealed a late Pleistocene expansion phase concurrent with the human expansion between 80 000 and 10 000 years ago, refuting an adverse ecological effect of Palaeolithic humans on this quarry species, but also showed that the buffalo subsequently declined during the Holocene. The distinct two‐phased dynamic inferred here suggests that a major ecological transition occurred in the Holocene. The timing of this transition coincides with the onset of drier conditions throughout tropical Africa following the Holocene Optimum (∼9000–5000 years ago), but also with the explosive growth in human population size associated with the transition from the Palaeolithic to the Neolithic cultural stage. We evaluate each of these possible causal factors and their potential impact on the African megafauna, providing the first systematic assessment of megafauna dynamics on the only continent where large mammals remain abundant.

Detecting Selection on Temporal and Spatial Scales: A Genomic Time-Series Assessment of Selective Responses to Devil Facial Tumor Disease

Detecting loci under selection is an important task in evolutionary biology. In conservation genetics detecting selection is key to investigating adaptation to the spread of infectious disease. Loci under selection can be detected on a spatial scale, accounting for differences in demographic history among populations, or on a temporal scale, tracing changes in allele frequencies over time. Here we use these two approaches to investigate selective responses to the spread of an infectious cancer—devil facial tumor disease (DFTD)—that since 1996 has ravaged the Tasmanian devil (Sarcophilus harrisii). Using time-series ‘restriction site associated DNA’ (RAD) markers from populations pre- and post DFTD arrival, and DFTD free populations, we infer loci under selection due to DFTD and investigate signatures of selection that are incongruent among methods, populations, and times. The lack of congruence among populations influenced by DFTD with respect to inferred loci under selection, and the direction of that selection, fail to implicate a consistent selective role for DFTD. Instead genetic drift is more likely driving the observed allele frequency changes over time. Our study illustrates the importance of applying methods with different performance optima e.g. accounting for population structure and background selection, and assessing congruence of the results.

Characterization of the Gray Whale Eschrichtius robustus Genome and a Genotyping Array Based on Single-Nucleotide Polymorphisms in Candidate Genes

Genetic and genomic approaches have much to offer in terms of ecology, evolution, and conservation. To better understand the biology of the gray whale Eschrichtius robustus (Lilljeborg, 1861), we sequenced the genome and produced an assembly that contains ∼95% of the genes known to be highly conserved among eukaryotes. From this assembly, we annotated 22,711 genes and identified 2,057,254 single-nucleotide polymorphisms (SNPs). Using this assembly, we generated a curated list of candidate genes potentially subject to strong natural selection, including genes associated with osmoregulation, oxygen binding and delivery, and other aspects of marine life. From these candidate genes, we queried 92 autosomal protein-coding markers with a panel of 96 SNPs that also included 2 sexing and 2 mitochondrial markers. Genotyping error rates, calculated across loci and across 69 intentional replicate samples, were low (0.021%), and observed heterozygosity was 0.33 averaged over all autosomal markers. This level of variability provides substantial discriminatory power across loci (mean probability of identity of 1.6 × 10−25 and mean probability of exclusion >0.999 with neither parent known), indicating that these markers provide a powerful means to assess parentage and relatedness in gray whales. We found 29 unique multilocus genotypes represented among our 36 biopsies (indicating that we inadvertently sampled 7 whales twice). In total, we compiled an individual data set of 28 western gray whales (WGSs) and 1 presumptive eastern gray whale (EGW). The lone EGW we sampled was no more or less related to the WGWs than expected by chance alone. The gray whale genomes reported here will enable comparative studies of natural selection in cetaceans, and the SNP markers should be highly informative for future studies of gray whale evolution, population structure, demography, and relatedness.

Correction to: Runs of homozygosity have utility in mammalian conservation and evolutionary studies

The fourth author’s name was incorrect in the original publication and correct author name is given in this Correction.

Runs of homozygosity have utility in mammalian conservation and evolutionary studies

Runs of homozygosity (ROHs) arise due the transmission from parents to offspring of segments that are either identical by decent (IBD) or identical by state (IBS). The former is due to consanguineous matings whereas the latter is due to demographic processes. ROHs reduce individual nucleotide diversity (θ) as a function of homozygosity, and thus ROH distributions and θ are expected to vary among species because inbreeding levels, recombination rates, and demographic histories vary widely. To help interpret genetic diversity within and among species, we utilized genome sequence data from 78 mammalian species to compare θ and ROH burden (i.e., number and length of ROHs in the genome) among groups of mammals to assess genomic signatures of inbreeding. We compared θ and ROHs: (i) among threatened and non-threatened mammals to determine the significance of contemporary conservation status; (ii) among carnivorous and non-carnivorous mammals to determine the relevance of trophic effects; (iii) relative to body size because mutation rates generally vary with body mass; and (iv) across mammals from different latitudes to test for gradients in genomic diversity (e.g., due to effects of historic climatic regimes). Our results illustrate the considerable variance in genomic diversity across mammals, and that trophic level, body mass, and latitude have significant effects on θ and ROH burden. However, conservation status was not a reliable indicator of genomic diversity. We argue that genetic or genomic diversity should be an explicit component of conservation status, as such diversity is critical to the long-term sustainability of populations, and anticipate that ROHs will become more commonly used to estimate inbreeding in wild animals.

Genetic data reveal mixed-stock aggregations of gray whales in the North Pacific Ocean

Gray whales (Eschrichtius robustus) in the Western Pacific are critically endangered, whereas in the Eastern Pacific, they are relatively common. Holocene environmental changes and commercial whaling reduced their numbers, but gray whales in the Eastern Pacific now outnumber their Western counterparts by more than 100-fold. Herein, we investigate the genetic diversity and population structure within the species using a panel of genic single nucleotide polymorphisms. Results indicate the gray whale gene pool is differentiated into two substocks containing similar levels of genetic diversity, and that both our Eastern and Western geographical samples represent mixed-stock aggregations. Ongoing or future gene flow between the stocks may conserve genetic diversity overall, but admixture has implications for conservation of the critically endangered Western gray whale.