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dc.contributor.authorZwick, Andreas
dc.contributor.authorRegier, Jerome C.
dc.contributor.authorZwickl, Derrick J.
dc.date.accessioned2014-03-20T18:37:01Z
dc.date.available2014-03-20T18:37:01Z
dc.date.issued2012-11-20
dc.identifier.citationZwick, A., Regier, J. C., & Zwickl, D. J. (2012). Resolving Discrepancy between Nucleotides and Amino Acids in Deep-Level Arthropod Phylogenomics: Differentiating Serine Codons in 21-Amino-Acid Models. PLoS ONE, 7(11). http://dx.doi.org/10.1371/journal.pone.0047450
dc.identifier.urihttp://hdl.handle.net/1808/13317
dc.description.abstractBACKGROUND:

In a previous study of higher-level arthropod phylogeny, analyses of nucleotide sequences from 62 protein-coding nuclear genes for 80 panarthopod species yielded significantly higher bootstrap support for selected nodes than did amino acids. This study investigates the cause of that discrepancy. METHODOLOGY/PRINCIPAL FINIDINGS:

The hypothesis is tested that failure to distinguish the serine residues encoded by two disjunct clusters of codons (TCN, AGY) in amino acid analyses leads to this discrepancy. In one test, the two clusters of serine codons (Ser1, Ser2) are conceptually translated as separate amino acids. Analysis of the resulting 21-amino-acid data matrix shows striking increases in bootstrap support, in some cases matching that in nucleotide analyses. In a second approach, nucleotide and 20-amino-acid data sets are artificially altered through targeted deletions, modifications, and replacements, revealing the pivotal contributions of distinct Ser1 and Ser2 codons. We confirm that previous methods of coding nonsynonymous nucleotide change are robust and computationally efficient by introducing two new degeneracy coding methods. We demonstrate for degeneracy coding that neither compositional heterogeneity at the level of nucleotides nor codon usage bias between Ser1 and Ser2 clusters of codons (or their separately coded amino acids) is a major source of non-phylogenetic signal. CONCLUSIONS:

The incongruity in support between amino-acid and nucleotide analyses of the forementioned arthropod data set is resolved by showing that “standard” 20-amino-acid analyses yield lower node support specifically when serine provides crucial signal. Separate coding of Ser1 and Ser2 residues yields support commensurate with that found by degenerated nucleotides, without introducing phylogenetic artifacts. While exclusion of all serine data leads to reduced support for serine-sensitive nodes, these nodes are still recovered in the ML topology, indicating that the enhanced signal from Ser1 and Ser2 is not qualitatively different from that of the other amino acids.
dc.description.sponsorshipThis study was supported by grants from the National Science Foundation, U.S.A. (grant numbers 0531626, 1042845 and 0120635). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
dc.publisherPublic LIbrary of Science
dc.rights© 2012 Zwick et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subjectAmino acid analysis
dc.subjectAmino acid sequence analysis
dc.subjectCodons
dc.subjectExtracellular matrix
dc.subjectNucleotides
dc.subjectPhylogenetics
dc.subjectSerine
dc.titleResolving Discrepancy between Nucleotides and Amino Acids in Deep-Level Arthropod Phylogenomics: Differentiating Serine Codons in 21-Amino-Acid Models
dc.typeArticle
kusw.kuauthorZwickl, Derrick J.
kusw.kudepartmentDepartment of Ecology and Evolutionary Biology
kusw.oastatusfullparticipation
dc.identifier.doi10.1371/journal.pone.0047450
kusw.oaversionScholarly/refereed, publisher version
kusw.oapolicyThis item meets KU Open Access policy criteria.
dc.rights.accessrightsopenAccess


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© 2012 Zwick et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Except where otherwise noted, this item's license is described as: © 2012 Zwick et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.