Literature DB >> 33813889

Molluscan phylogenomics requires strategically selected genomes.

Julia D Sigwart1,2,3, David R Lindberg4, Chong Chen5, Jin Sun6.   

Abstract

The extraordinary diversity in molluscan body plans, and the genomic mechanisms that enable it, remains one of the great questions of evolution. The eight distinct living taxonomic classes of molluscs are each unambiguously monophyletic; however, significant controversy remains about the phylogenetic relationships among those eight branches. Molluscs are the second-largest animal phylum, with over 100 000 living species with broad biological, economic and medical interest. To date, only around 53 genome assemblies have been accessioned to NCBI GenBank covering only four of the eight living molluscan classes. Furthermore, the molluscan taxa where partial or whole-genome assemblies are available are often aberrantly fast evolving or recently derived lineages. Characteristic adaptations provide interesting targets for whole-genome projects, in animals like the scaly-foot snail or octopus, but without basal-branching lineages for comparison, the context of recently derived features cannot be assessed. The currently available genomes also create a non-optimal set of taxa for resolving deeper phylogenetic branches: they are a small sample representing a large group, and those that are available come primarily from a rarefied pool. Thoughtful selection of taxa for future projects should focus on the blank areas of the molluscan tree, which are ripe with opportunities to delve into peculiarities of genome evolution, and reveal the biology and evolutionary history of molluscs. This article is part of the Theo Murphy meeting issue 'Molluscan genomics: broad insights and future directions for a neglected phylum'.

Entities:  

Keywords:  Aculifera; Conchifera; Mollusca; Serialia; disparity; diversification

Mesh:

Year:  2021        PMID: 33813889      PMCID: PMC8059523          DOI: 10.1098/rstb.2020.0161

Source DB:  PubMed          Journal:  Philos Trans R Soc Lond B Biol Sci        ISSN: 0962-8436            Impact factor:   6.671


  27 in total

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Journal:  Proc Natl Acad Sci U S A       Date:  2019-01-11       Impact factor: 12.779

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Journal:  Sci Data       Date:  2019-02-19       Impact factor: 6.444

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Journal:  Nature       Date:  2012-09-19       Impact factor: 49.962

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Journal:  BMC Genomics       Date:  2020-01-03       Impact factor: 3.969

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