A new study published in the open access journal GigaScience explores the genomes of a fascinating group of birds, birds-of-paradise, with work providing genome sequences from 5 birds-of-paradise species: 3 that did not have available genome sequences. Birds-of-paradise, with their elaborate and colorful feathers as well as complex courtship displays, have a special place in natural history. They serve as a school-book example of sexual selection, which is the outcome of generations of female mate choice of males that have "attractive" features. The result is an unparalleled radiation of species where males exhibit extreme morphological features and behaviors with no other evolutionary meaning than to attract females for mating. However, very little is known about the genetic variants that distinguish the lavishly colored birds-of-paradise from their less conspicuous relatives, such as the collared flycatcher. Whole genome availability of multiple species provides a rich resource for molecular evolutionary to identify genes that came under the influence of sexual selection, and a way to assess how these genes transformed the males' plumage into a colorful asset for mating purposes.
The famous evolutionary biologist Ernst Mayr (1904-2005) once said about the birds-of-paradise: "Every ornithologist and birdwatcher has his favourite group of birds. Frankly, my own are the birds of paradise and bowerbirds. If they do not rank as high in world-wide popularity as they deserve it is only because so little is known about them."
Taking on the task of addressing the limited amount of information available for these exotic birds were researchers from the Swedish Museum of Natural History, American scientists, and first author Stefan Prost from the Senckenberg Museum in Frankfurt. They selected three species that did not yet have available genomes sequences: the paradise crow (Lycocorax pyrrhopterus) from Obi Island in Indonesia; the paradise riflebird (Ptiloris paradiseus) from New South Wales, Australia; and the huon astrapia (Astrapia rothschildi) from Papua New Guinea. They further provided new genome sequence data to improve currently available genomic information for two other birds-of-paradise species from Papua New Guinea: the King of Saxony bird-of-paradise (Pteridophora alberti) and the red bird-of-paradise (Paradisaea rubra).
Martin Irestedt, senior curator at the Swedish Museum of Natural History, said that "Birds-of-paradise constitute one of the most famous examples on how sexual selection has driven the evolution of male plumage ornamentation and mating behaviors to its extreme. It is thus extremely exciting that we are able to present genomic data that provide the first glimpse to how genomic evolution is linked to the extraordinary phenotypic variation found in this fascinating group of birds."
Using these five bird-of-paradise datasets, Prost and colleagues identified genes that show signs of past influence of selection and evolution, some of which appear to be important for coloration, morphology, and feather and eye development. For example, they identified a gene called ADAMTS20 that is potentially involved in producing the exquisite birds-of-paradise colorful feathers. ADAMTS20 is known to influence the development of melanocytes, specialized cells for the production of pigmentation patterns.
Thanks to modern genomics and the availability of these new datasets in the GigaScience DataBase, GigaDB, we are about to learn much more about these fascinating animals.
As one of the winners of the GigaScience ICG Prize a video of the talk is available to view on youtube: https:/
All data from this project are freely available under a CC0 waiver in the GigaScience database, GigaDB, in a citable format as follows: Prost, S (2019): Supporting data for "Comparative analyses identify genomic features potentially involved in the evolution of birds-of-paradise." GigaScience Database: http://dx.
Prost, S. (2019) Comparative analyses identify genomic features potentially involved in the evolution of birds-of-paradise. GigaScience http://dx.
Scott Edmunds, PhD, Executive Editor
GigaScience, BGI Hong Kong
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GigaScience is co-published by BGI and Oxford University Press. Winner of the 2018 PROSE award for Innovation in Journal Publishing (Multidisciplinary), the journal covers research that uses or produces 'big data' from the full spectrum of the life sciences. It also serves as a forum for discussing the difficulties of and unique needs for handling large-scale data from all areas of the life sciences. The journal has a completely novel publication format -- one that integrates manuscript publication with complete data hosting, and analyses tool incorporation. To encourage transparent reporting of scientific research as well as enable future access and analyses, it is a requirement of manuscript submission to GigaScience that all supporting data and source code be made available in the GigaScience database, GigaDB, as well as in publicly available repositories. GigaScience will provide users access to associated online tools and workflows, and has integrated a data analysis platform, maximizing the potential utility and re-use of data.