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A proposed consensus panel of organisms for determining evolutionary conservation of mt-tRNA point mutations.

ABSTRACT: Assigning pathogenicity to mt-tRNA variants requires multiple strands of evidence. Evolutionary conservation is often considered mandatory, but lack of a standard panel of organisms to assess conservation complicates comparison between reports and undermines the value of conservation-based evidence. We demonstrate that intra-species MTT sequence variation is sufficiently low for sequence data from a single organism to adequately represent a species. On this basis, we propose a standardised panel of organisms for conservation assessment and describe integration of this conservation panel into a pathogenicity scoring system designed to assess mt-tRNA variation associated with mitochondrial disease.

SUBMITTER: Yarham JW

PROVIDER: S-EPMC3510436 | biostudies-literature | 2012 Sep

REPOSITORIES: biostudies-literature

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A proposed consensus panel of organisms for determining evolutionary conservation of mt-tRNA point mutations.

Yarham John W JW McFarland Robert R Taylor Robert W RW Elson Joanna L JL

Mitochondrion 20120707 5

Assigning pathogenicity to mt-tRNA variants requires multiple strands of evidence. Evolutionary conservation is often considered mandatory, but lack of a standard panel of organisms to assess conservation complicates comparison between reports and undermines the value of conservation-based evidence. We demonstrate that intra-species MTT sequence variation is sufficiently low for sequence data from a single organism to adequately represent a species. On this basis, we propose a standardised panel ...[more]

PMID: 22781547

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Project description:BackgroundA large panel of methods exists that aim to identify residues with critical impact on protein function based on evolutionary signals, sequence and structure information. However, it is not clear to what extent these different methods overlap, and if any of the methods have higher predictive potential compared to others when it comes to, in particular, the identification of catalytic residues (CR) in proteins. Using a large set of enzymatic protein families and measures based on different evolutionary signals, we sought to break up the different components of the information content within a multiple sequence alignment to investigate their predictive potential and degree of overlap.ResultsOur results demonstrate that the different methods included in the benchmark in general can be divided into three groups with a limited mutual overlap. One group containing real-value Evolutionary Trace (rvET) methods and conservation, another containing mutual information (MI) methods, and the last containing methods designed explicitly for the identification of specificity determining positions (SDPs): integer-value Evolutionary Trace (ivET), SDPfox, and XDET. In terms of prediction of CR, we find using a proximity score integrating structural information (as the sum of the scores of residues located within a given distance of the residue in question) that only the methods from the first two groups displayed a reliable performance. Next, we investigated to what degree proximity scores for conservation, rvET and cumulative MI (cMI) provide complementary information capable of improving the performance for CR identification. We found that integrating conservation with proximity scores for rvET and cMI achieved the highest performance. The proximity conservation score contained no complementary information when integrated with proximity rvET. Moreover, the signal from rvET provided only a limited gain in predictive performance when integrated with mutual information and conservation proximity scores. Combined, these observations demonstrate that the rvET and cMI scores add complementary information to the prediction system.ConclusionsThis work contributes to the understanding of the different signals of evolution and also shows that it is possible to improve the detection of catalytic residues by integrating structural and higher order sequence evolutionary information with sequence conservation.

Dataset Information

A proposed consensus panel of organisms for determining evolutionary conservation of mt-tRNA point mutations.

Publications

A proposed consensus panel of organisms for determining evolutionary conservation of mt-tRNA point mutations.

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