A flock of genomes: A focused special issue in Science

Characterization of genomic biodiversity through comprehensive species sampling has the potential to change our understanding of evolution. To study evolution across a major vertebrate class, dissect the genomics of complex traits, and resolve a centuries-old debate on the avian species tree, we formed a consortium focused on the sequencing and analyses of at least one genome per avian order. The resulting data set of 48 consistently annotated bird genomes spans 32 of the 35 recently proposed avian orders,* including all 30 neognath orders, and thus represents a wide range of avian evolutionary diversity. Our consortium's analyses have resulted in eight papers published today in Science, as well as 20 papers in other journals [avian.genomics.cn/en]. These include two flagship papers: one exploiting genomic-scale data to generate a highly supported avian order phylogeny that resolves many debates on the timing and topology of their radiation; the other a comparative genomic analysis exploring avian genome evolution and the genetic basis of complex traits. Other studies in Science describe convergent brain regions and gene expression for avian song learning and human speech, the singing activated genome in songbirds, complex evolutionary trajectories of avian sex chromosomes, a single loss of teeth in the ancestor of modern birds, the genomes of their closest extant outgroup (crocodilians) and inferred dinosaur ancestor, and computational methods developed for large-scale genomic analyses. Studies in companion papers explore the genomic adaptations of penguins, genomics of nearly extinct species, lineage-specific selection in birds, paleoviral infiltration in bird genomes, and many other questions. Thus, this study of a major vertebrate class highlights the future promise of large-scale comparative genomics, and we hope sets the stage for an approach for sequencing and analyses of many more genomes of birds and other vertebrate lineages.

Read More

Cookie Policy: We use cookies on this site to enhance your user experience. By clicking any link on this page you are giving your consent for us to set cookies. You can find out more about the cookies by clicking here.

Accept cookies