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dc.contributor.authorPan, Hailin
dc.contributor.authorCole, Theresa L.
dc.contributor.authorBi, Xupeng
dc.contributor.authorFang, Miaoquan
dc.contributor.authorZhou, Chengran
dc.contributor.authorYang, Zhengtao
dc.contributor.authorKsepka, Daniel T.
dc.contributor.authorHart, Tom
dc.contributor.authorBouzat, Juan L.
dc.contributor.authorArgilla, Lisa S.
dc.contributor.authorBertelsen, Mads F.
dc.contributor.authorBoersma, P. Dee
dc.contributor.authorBost, Charles-André
dc.contributor.authorCherel, Yves
dc.contributor.authorDann, Peter
dc.contributor.authorFiddaman, Steven R.
dc.contributor.authorHoward, Pauline
dc.contributor.authorLabuschagne, Kim
dc.contributor.authorMattern, Thomas
dc.contributor.authorMiller, Gary
dc.contributor.authorParker, Patricia
dc.contributor.authorPhillips, Richard A.
dc.contributor.authorQuillfeldt, Petra
dc.contributor.authorRyan, Peter G.
dc.contributor.authorTaylor, Helen
dc.contributor.authorThompson, David R.
dc.contributor.authorYoung, Melanie J.
dc.contributor.authorEllegaard, Martin
dc.contributor.authorGilbert, Marcus Thomas Pius
dc.contributor.authorSinding, Mikkel Holger Strander
dc.contributor.authorPacheco, George
dc.contributor.authorShepherd, Lara D.
dc.contributor.authorTennyson, Alan J.D.
dc.contributor.authorGrosser, Stefanie
dc.contributor.authorKay, Emily
dc.contributor.authorNupen, Lisa J.
dc.contributor.authorEllenberg, Ursula
dc.contributor.authorHouston, David M.
dc.contributor.authorReeve, Andrew Hart
dc.contributor.authorJohnson, Kathryn
dc.contributor.authorMasello, Juan F.
dc.contributor.authorStracke, Thomas
dc.contributor.authorMcKinlay, Bruce
dc.contributor.authorBorboroglu, Pablo García
dc.contributor.authorZhang, De-Xing
dc.contributor.authorZhang, Guojie
dc.date.accessioned2020-03-31T07:36:22Z
dc.date.available2020-03-31T07:36:22Z
dc.date.created2020-03-29T14:10:17Z
dc.date.issued2019
dc.identifier.citationGigaScience. 2019, 8 (9), 1-17.en_US
dc.identifier.issn2047-217X
dc.identifier.urihttps://hdl.handle.net/11250/2649558
dc.description.abstractBackground 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.en_US
dc.language.isoengen_US
dc.publisherOxford University Pressen_US
dc.titleHigh-coverage genomes to elucidate the evolution of penguinsen_US
dc.typePeer revieweden_US
dc.typeJournal articleen_US
dc.description.versionpublishedVersionen_US
dc.source.pagenumber1-17en_US
dc.source.volume8en_US
dc.source.journalGigaScienceen_US
dc.source.issue9en_US
dc.identifier.doi10.1093/gigascience/giz117
dc.identifier.cristin1804104
dc.description.localcode© The Author(s) 2019. Published by Oxford University Press. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.en_US
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cristin.fulltextoriginal
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