George Tiley

and 14 more

Madagascar’s Central Highlands are largely composed of grasslands, interspersed with patches of forest. The pre-human extent of these grasslands is a topic of vigorous debate, with conventional wisdom holding that they are anthropogenic in nature and emerging evidence supporting that grasslands were a component of the pre-human Central Highlands vegetation. Here, we shed light on the temporal dynamics of Madagascar’s vegetative composition by conducting a population genomic investigation of Goodman’s mouse lemur (Microcebus lehilahytsara; Cheirogaleidae). These small-bodied primates occur both in Madagascar’s eastern rainforests and in the Central Highlands, which makes them a valuable indicator species. Population divergences among forest-dwelling mammals can serve as a proxy for habitat fragmentation and patterns of post-divergence gene flow can reveal potential migration corridors consistent with a wooded grassland mosiac. We used RADseq data to infer phylogenetic relationships, population structure, demographic models of post-divergence gene flow, and population size change through time. These analyses offer evidence that open habitats are an ancient component of the Central Highlands, and that wide-spread forest fragmentation occurred naturally during a period of decreased precipitation near the last glacial maximum. Models of gene flow suggest that migration across the Central Highlands has been possible from the Pleistocene through the recent Holocene via riparian corridors. Notably, though our findings support the hypothesis that Central Highland grasslands predate human arrival, we also find evidence for human-mediated population declines. This highlights the extent to which species imminently threatened by human-mediated deforestation may be more vulnerable from paleoclimatic changes.

Anne Yoder

and 1 more

Germline mutations are the raw material for natural selection, driving species evolution and the creation of earth’s biodiversity. Life on earth would stagnate without this driver of genetic diversity. Yet, it is a double-edged sword. An excess of mutations can have devastating effects on fitness and population viability. It is therefore one of the great challenges of molecular ecology to determine the rate and spectrum by which these mutations accrue across the tree of life. Advances in high-throughput sequencing are providing new opportunities for characterizing these rates and patterns within species and populations, thus informing essential evolutionary parameters such as the timing of speciation events, the intricacies of historical demography, and the degree to which lineages are subject to the burdens of mutational load. Here, we will focus on the applications and limitations of whole-genome comparisons among closely related individuals in what are typically described as “trio” analyses for the detection of germline mutations as they arise in real time. By sequencing and comparing whole-genomes generated for individuals of known relatedness – typically, parent to offspring – investigators can ideally count and characterize mutations as they appear per generation. The promise for gaining insight into classic hypotheses of molecular evolution is high, though so too is the cost. Namely, the technical challenges are daunting given that pedigree-based studies are essentially searching for needles in a haystack. Even so, the opportunities are so enticing, and the field so young, we can say with confidence that fundamental insights have only just begun to emerge.