Browsing by Author "Houston DM"

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    High-coverage genomes to elucidate the evolution of penguins
    (Oxford University Press and BGI, 2019-09-18) Pan H; Cole TL; Bi X; Fang M; Zhou C; Yang Z; Ksepka DT; Hart T; Bouzat JL; Argilla LS; Bertelsen MF; Boersma PD; Bost C-A; Cherel Y; Dann P; Fiddaman SR; Howard P; Labuschagne K; Mattern T; Miller G; Parker P; Phillips RA; Quillfeldt P; Ryan PG; Taylor H; Thompson DR; Young MJ; Ellegaard MR; Gilbert MTP; Sinding M-HS; Pacheco G; Shepherd LD; Tennyson AJD; Grosser S; Kay E; Nupen LJ; Ellenberg U; Houston DM; Reeve AH; Johnson K; Masello JF; Stracke T; McKinlay B; Borboroglu PG; Zhang D-X; Zhang G
    BACKGROUND: Penguins (Sphenisciformes) are a remarkable order of flightless wing-propelled diving seabirds distributed widely across the southern hemisphere. They share a volant common ancestor with Procellariiformes close to the Cretaceous-Paleogene boundary (66 million years ago) and subsequently lost the ability to fly but enhanced their diving capabilities. With ∼20 species among 6 genera, penguins range from the tropical Galápagos Islands to the oceanic temperate forests of New Zealand, the rocky coastlines of the sub-Antarctic islands, and the sea ice around Antarctica. To inhabit such diverse and extreme environments, penguins evolved many physiological and morphological adaptations. However, they are also highly sensitive to climate change. Therefore, penguins provide an exciting target system for understanding the evolutionary processes of speciation, adaptation, and demography. Genomic data are an emerging resource for addressing questions about such processes. RESULTS: Here we present a novel dataset of 19 high-coverage genomes that, together with 2 previously published genomes, encompass all extant penguin species. We also present a well-supported phylogeny to clarify the relationships among penguins. In contrast to recent studies, our results demonstrate that the genus Aptenodytes is basal and sister to all other extant penguin genera, providing intriguing new insights into the adaptation of penguins to Antarctica. As such, our dataset provides a novel resource for understanding the evolutionary history of penguins as a clade, as well as the fine-scale relationships of individual penguin lineages. Against this background, we introduce a major consortium of international scientists dedicated to studying these genomes. Moreover, we highlight emerging issues regarding ensuring legal and respectful indigenous consultation, particularly for genomic data originating from New Zealand Taonga species. CONCLUSIONS: We believe that our dataset and project will be important for understanding evolution, increasing cultural heritage and guiding the conservation of this iconic southern hemisphere species assemblage.
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    Leveraging an existing whole-genome resequencing population data set to characterize toll-like receptor gene diversity in a threatened bird
    (John Wiley and Sons, Ltd, 2022-10) Magid M; Wold JR; Moraga R; Cubrinovska I; Houston DM; Gartrell BD; Steeves TE; Hohenlohe PA
    Species recovery programs are increasingly using genomic data to measure neutral genetic diversity and calculate metrics like relatedness. While these measures can inform conservation management, determining the mechanisms underlying inbreeding depression requires information about functional genes associated with adaptive or maladaptive traits. Toll-like receptors (TLRs) are one family of functional genes, which play a crucial role in recognition of pathogens and activation of the immune system. Previously, these genes have been analysed using species-specific primers and PCR. Here, we leverage an existing short-read reference genome, whole-genome resequencing population data set, and bioinformatic tools to characterize TLR gene diversity in captive and wild tchūriwat'/tūturuatu/shore plover (Thinornis novaeseelandiae), a threatened bird endemic to Aotearoa New Zealand. Our results show that TLR gene diversity in tchūriwat'/tūturuatu is low, and forms two distinct captive and wild genetic clusters. The bioinformatic approach presented here has broad applicability to other threatened species with existing genomic resources in Aotearoa New Zealand and beyond.