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The Lambda Select cII Mutation Detection System
Published on: April 26, 2018
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Multinucleotide mutations cause false inferences of lineage-specific positive selection
Aarti Venkat1, Matthew W Hahn2,3, Joseph W Thornton4,5
1Department of Human Genetics, University of Chicago, Chicago, IL, USA.
Nature Ecology & Evolution
|July 4, 2018
Summary
Multinucleotide mutations (MNMs), errors at adjacent DNA sites, can be mistaken for adaptive evolution. The branch-site test (BST) may produce false positives due to MNMs, impacting evolutionary studies.
Area of Science:
- Evolutionary biology
- Genomics
- Molecular evolution
Background:
- Phylogenetic tests like the branch-site test (BST) assume single, independent nucleotide substitutions.
- Multinucleotide mutations (MNMs), affecting adjacent sites, are common during DNA replication and often non-synonymous.
- MNMs can potentially confound evolutionary analyses by mimicking signals of positive selection.
Purpose of the Study:
- To investigate whether the BST misinterprets sequence patterns generated by MNMs as evidence of positive selection.
- To evaluate the impact of realistic MNM rates on BST inferences of adaptive evolution.
- To assess the reliability of published BST results in light of potential MNM-induced biases.
Main Methods:
- Analysis of two genome-scale datasets from mammals and flies.
- Evaluation of codons with multiple differences in BST analyses.
- Simulations using empirically derived conditions to model MNM effects without positive selection.
Main Results:
- Codons with multiple differences accounted for nearly all BST support for lineage-specific positive selection.
- Simulations demonstrated that realistic MNM rates introduce a strong bias towards false positive selection inferences.
- Empirically derived conditions showed MNMs can cause false positives at rates comparable to actual BST findings.
Conclusions:
- The BST cannot reliably distinguish between adaptive evolution and neutral fixation of MNMs.
- Many published inferences of adaptive evolution using the BST may be artefacts of model violation due to unaddressed MNMs.
- A new model incorporating MNMs is proposed to mitigate this bias in evolutionary analyses.
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