Person: Hawkins, Brent
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Publication Insights into the evolution of Darwin’s finches from comparative analysis of the Geospiza magnirostris genome sequence
(BioMed Central, 2013) Rands, Chris M; Darling, Aaron; Fujita, Matthew; Kong, Lesheng; Webster, Matthew T; Clabaut, Céline; Emes, Richard D; Heger, Andreas; Meader, Stephen; Hawkins, Brent; Eisen, Michael B; Teiling, Clotilde; Affourtit, Jason; Boese, Benjamin; Grant, Peter R; Grant, Barbara Rosemary; Eisen, Jonathan A; Abzhanov, Arkhat; Ponting, Chris PBackground: A classical example of repeated speciation coupled with ecological diversification is the evolution of 14 closely related species of Darwin’s (Galápagos) finches (Thraupidae, Passeriformes). Their adaptive radiation in the Galápagos archipelago took place in the last 2–3 million years and some of the molecular mechanisms that led to their diversification are now being elucidated. Here we report evolutionary analyses of genome of the large ground finch, Geospiza magnirostris. Results: 13,291 protein-coding genes were predicted from a 991.0 Mb G. magnirostris genome assembly. We then defined gene orthology relationships and constructed whole genome alignments between the G. magnirostris and other vertebrate genomes. We estimate that 15% of genomic sequence is functionally constrained between G. magnirostris and zebra finch. Genic evolutionary rate comparisons indicate that similar selective pressures acted along the G. magnirostris and zebra finch lineages suggesting that historical effective population size values have been similar in both lineages. 21 otherwise highly conserved genes were identified that each show evidence for positive selection on amino acid changes in the Darwin's finch lineage. Two of these genes (Igf2r and Pou1f1) have been implicated in beak morphology changes in Darwin’s finches. Five of 47 genes showing evidence of positive selection in early passerine evolution have cilia related functions, and may be examples of adaptively evolving reproductive proteins. Conclusions: These results provide insights into past evolutionary processes that have shaped G. magnirostris genes and its genome, and provide the necessary foundation upon which to build population genomics resources that will shed light on more contemporaneous adaptive and non-adaptive processes that have contributed to the evolution of the Darwin’s finches.
Publication Historical Contingency Shapes Adaptive Radiation in Antarctic Fishes
(Springer Science and Business Media LLC, 2019-06-10) Smits, Patrick; Daane, Jacob; Dornburg, Alex; MacGuigan, Daniel; Hawkins, Brent; Near, Thomas; Detrich, William; Harris, MatthewAdaptive radiation illustrates links between ecological opportunity, natural selection, and the generation of biodiversity. Central to adaptive radiation is the association between a diversifying lineage and the evolution of phenotypic variation that facilitates the utilization of novel environments or resources. However, is not clear whether adaptive evolution or historical contingency is more important for the origin of key phenotypic traits in adaptive radiation. Here we use targeted sequencing of >250,000 loci across 46 species to examine hypotheses concerning the origin and diversification of key traits in the adaptive radiation of Antarctic notothenioid fishes. Contrary to expectations of adaptive evolution, we show that notothenioids experienced a punctuated burst of genomic diversification and evolved key skeletal modifications before the onset of polar conditions in the Southern Ocean. We show that diversifying selection in pathways associated with human skeletal dysplasias facilitates ecologically important variation in buoyancy among Antarctic notothenioid species, and demonstrate the sufficiency of altered trip11, col1a2 and col1a1 function in zebrafish (Danio rerio) to phenocopy skeletal reduction in Antarctic notothenioids. Rather than adaptation being driven by the cooling of the Antarctic, our results highlight the role of historical contingency in shaping the adaptive radiation of notothenioids. Understanding the historical and environmental context for the origin of key traits in adaptive radiations extends beyond reconstructing events that result in evolutionary innovation as it also provides a context in forecasting the effects of climate change on the stability and evolvability of natural populations.