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Baty, S. M.

Publications and source records attributed to Baty, S. M..

3 recordsLinked to original sources

Genome-wide divergence in a desert plant in the Baja California Peninsula driven by glacial cycles and adaptation to different climatic conditions

The processes that generate distinct patterns of population subdivision (i.e., phylogeographic breaks) and facilitate local adaptations continue to be a focal point of evolutionary research. Here, we used whole-genome sequencing, demographic modeling, ecological niche modeling, and genotype-environment association analysis paired with outlier tests to understand patterns and drivers of diversification of the desert shrub Encelia farinosa in the Baja California Peninsula. We found that E. farinosa was represented by three moderately differentiated (0.027 < Fst < 0.068) genetically distinct groups, distributed across the North, Central and Southern regions of the Peninsula. Demographic analyses revealed fluctuations in the effective population sizes and two lineage divergence events, which coincided with the onset of recent glacial cycles. The ecological niche modeling recovered concordant southward shifts and decrease in the suitable habitat for all E. farinosa groups during the Last Glacial period. Analyses of associations between putative adaptive loci and environmental variables suggested that climate has been an important driver of adaptive genetic variation, with regional differentiation primarily associated with solar irradiation, temperature, and precipitation seasonality. We demonstrate that local adaptations in E. farinosa involve multiple genes associated with immune response, stress response, and morphological adaptations associated with arid climate such as leaf pubescence. Our findings indicate that current levels of differentiation and genetic variation in E. farinosa can be explained by the interplay of processes acting at multiple temporal scales, including isolation by distance, glaciation-mediated demographic processes, and recent natural selection shaping specific adaptations for each geographical group.

evolutionary biology↗

Structural rearrangements and selection promote phenotypic evolution in Anolis lizards

The genomic characteristics of adaptively radiated groups could contribute to their high species number and ecological disparity, by increasing their evolutionary potential. Here, we explored the genomic features of Anolis lizards, focusing on three species with unique phenotypes: A. auratus, one of the species with the longest tail; A. frenatus, one of the largest species; and A. carolinensis, one of the species that inhabits the coldest environments. We assembled and annotated two new chromosome-level reference genomes for A. auratus and A. frenatus, and compared them with the available genomes of A. carolinensis and A. sagrei. We evaluated the presence of structural rearrangements, quantified the density of repeat elements, and identified signatures of positive selection in coding and regulatory regions. We detected substantial rearrangements in scaffolds 1, 2 and 3 of A. frenatus different from the other species, in which the rearrangement breakpoints corresponded to hotspots of developmental genes. Further, we detected an accumulation of repeats around key developmental genes in anoles and phrynosomatid outgroups. Finally, we detected signatures of positive selection on coding sequences and regulatory regions of genes relevant to development and physiology that could affect the unique phenotypes of the analyzed species. Our results suggest that anoles have genomic features associated with genes that affect organismal morphology and physiology. This could provide a genomic substrate that promoted phenotypic disparity in anoles, and contributed to their ability to adaptively radiate. Author SummaryAdaptive radiations are often characterized by high species richness and phenotypic differentiation. Besides the ecological context, the genetic features of organisms could also contribute to their ability to diversify. Anolis lizards are an adaptively radiated group that shows high phenotypic disparity in morphology and physiology. In this study, we explored the genome of four species within the Anolis radiation with distinctive phenotypes. We generated a high-quality chromosome-level reference genome for A. auratus and A. frenatus, and compared them with A. carolinensis and A. sagrei. We detected major structural rearrangements in A. frenatus, a high density of repeat elements around key developmental genes, and signatures of natural selection associated with genes functionally relevant for the analyzed species. Hence, the genomic characteristics of anoles were associated with their unique phenotypic diversity. We highlight the potential relevance of genomic features to influence the ability of groups of organisms to radiate adaptively.

evolutionary biology↗

Strong signatures of selection on genes underlying core reinforcement mechanisms in speciating desert tortoises

Genomic reinforcement and differential ecological adaptation are thought to be fundamental mechanisms of speciation. In this study we investigate the genomic basis of adaptation and reinforcement between two desert tortoise species of North America that occupy desert habitats with differing seasonal rainfall patterns and have considerable behavioral and reproductive differences yet maintain a narrow hybrid zone. We generated a chromosome-scale reference genome for Gopherus morafkai and performed analysis of synteny, genes under positive selection, and environmental niche modeling. Results show extensive positive selection (422 genes) including related to eye development and function that may relate to environmental differences, as well as prezygotic isolation mechanisms such as sperm-egg recognition, and postzygotic reinforcement mechanisms such as the spindle assembly checkpoint, and sister chromatid pairing. Together, results offer strong genetic support for the role of these classic processes in shaping reproductive isolation and lineage divergence of speciating tortoises.

evolutionary biology↗