Abbey Coppage, Esha Bhatnagar, Mitali Joshi, Mustafa Siddiqui, Logan McRae, Gavin C Conant
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引用次数: 0
Abstract
We describe four ancient polyploidy events where the descendant taxa retain many more duplicated gene copies than has been seen in other paleopolyploidies of similar ages. Using POInT (the Polyploid Ortholog Inference Tool), we modeled the evolution of these four events, showing that they do not represent recent independent polyploidies despite the rarity of shared gene losses. We find that these events have elevated rates of interlocus gene conversion and that these gene conversion events are spatially clustered in the genomes. Regions of gene conversion also show very low synonymous divergence between the corresponding paralogous genes. We suggest that these genomes have experienced a delay in the return to a diploid state after their polyploidies. Under this hypothesis, homoeologous exchanges between the duplicated regions created by the polyploidy persist to this day, explaining the high rates of duplicate retention. Genomes with these characteristics arguably represent a new class of paleopolyploid taxa because they possess evolutionary patterns distinct from the more common and well-known paradigm of the rapid loss of many of the duplicated pairs created by polyploidy.
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About the journal
Genome Biology and Evolution (GBE) publishes leading original research at the interface between evolutionary biology and genomics. Papers considered for publication report novel evolutionary findings that concern natural genome diversity, population genomics, the structure, function, organisation and expression of genomes, comparative genomics, proteomics, and environmental genomic interactions. Major evolutionary insights from the fields of computational biology, structural biology, developmental biology, and cell biology are also considered, as are theoretical advances in the field of genome evolution. GBE’s scope embraces genome-wide evolutionary investigations at all taxonomic levels and for all forms of life — within populations or across domains. Its aims are to further the understanding of genomes in their evolutionary context and further the understanding of evolution from a genome-wide perspective.