Sangam: A Confluence of Knowledge Streams

Functional bias in molecular evolution rate of Arabidopsis thaliana

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dc.contributor Computer Science
dc.creator Warren, Andrew S.
dc.creator Anandakrishnan, Ramu
dc.creator Zhang, Liqing
dc.date 2012-08-24T11:24:04Z
dc.date 2012-08-24T11:24:04Z
dc.date 2010-05-01
dc.date 2012-08-24T11:24:04Z
dc.date.accessioned 2023-03-01T18:53:02Z
dc.date.available 2023-03-01T18:53:02Z
dc.identifier BMC Evolutionary Biology. 2010 May 01;10(1):125
dc.identifier http://hdl.handle.net/10919/18842
dc.identifier https://doi.org/10.1186/1471-2148-10-125
dc.identifier.uri http://localhost:8080/xmlui/handle/CUHPOERS/281681
dc.description Background Characteristics derived from mutation and other mechanisms that are advantageous for survival are often preserved during evolution by natural selection. Some genes are conserved in many organisms because they are responsible for fundamental biological function, others are conserved for their unique functional characteristics. Therefore one would expect the rate of molecular evolution for individual genes to be dependent on their biological function. Whether this expectation holds for genes duplicated by whole genome duplication is not known. Results We empirically demonstrate here, using duplicated genes generated from the Arabidopsis thaliana α-duplication event, that the rate of molecular evolution of genes duplicated in this event depend on biological function. Using functional clustering based on gene ontology annotation of gene pairs, we show that some duplicated genes, such as defense response genes, are under weaker purifying selection or under stronger diversifying selection than other duplicated genes, such as protein translation genes, as measured by the ratio of nonsynonymous to synonymous divergence (dN/dS). Conclusions These results provide empirical evidence indicating that molecular evolution rate for genes duplicated in whole genome duplication, as measured by dN/dS, may depend on biological function, which we characterize using gene ontology annotation. Furthermore, the general approach used here provides a framework for comparative analysis of molecular evolution rate for genes based on their biological function.
dc.description Published version
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dc.language en_US
dc.rights Creative Commons Attribution 4.0 International
dc.rights http://creativecommons.org/licenses/by/4.0/
dc.rights Andrew S Warren et al.; licensee BioMed Central Ltd.
dc.title Functional bias in molecular evolution rate of Arabidopsis thaliana
dc.title BMC Evolutionary Biology
dc.type Article - Refereed
dc.type Text


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