Reconstruction of proto-vertebrate, proto-cyclostome and proto-gnathostome genomes provides new insights into early vertebrate evolution

Autor: Aravind Prasad, Nisha E. Pillai, Byrappa Venkatesh, Vydianathan Ravi, Prashant Shingate, Aoife McLysaght, Yoichiro Nakatani
Jazyk: angličtina
Rok vydání: 2021
Předmět:
Zdroj: Nature Communications, Vol 12, Iss 1, Pp 1-14 (2021)
Nature Communications
ISSN: 2041-1723
Popis: Ancient polyploidization events have had a lasting impact on vertebrate genome structure, organization and function. Some key questions regarding the number of ancient polyploidization events and their timing in relation to the cyclostome-gnathostome divergence have remained contentious. Here we generate de novo long-read-based chromosome-scale genome assemblies for the Japanese lamprey and elephant shark. Using these and other representative genomes and developing algorithms for the probabilistic macrosynteny model, we reconstruct high-resolution proto-vertebrate, proto-cyclostome and proto-gnathostome genomes. Our reconstructions resolve key questions regarding the early evolutionary history of vertebrates. First, cyclostomes diverged from the lineage leading to gnathostomes after a shared tetraploidization (1R) but before a gnathostome-specific tetraploidization (2R). Second, the cyclostome lineage experienced an additional hexaploidization. Third, 2R in the gnathostome lineage was an allotetraploidization event, and biased gene loss from one of the subgenomes shaped the gnathostome genome by giving rise to remarkably conserved microchromosomes. Thus, our reconstructions reveal the major evolutionary events and offer new insights into the origin and evolution of vertebrate genomes.
Early vertebrate genomes were shaped by multiple whole-genome duplication (WGD) events of debated timings. Here the authors’ reconstruction of ancestral genomes using the probabilistic macrosynteny model supports a WGD shared by all vertebrates and a gnathostome-specific WGD, and reveals evidence of a cyclostome-specific genome triplication.
Databáze: OpenAIRE