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PMID: 17709332 Published · ppublish English Journal Article Research Support, Non-U.S. Gov't

Mind the gaps: evidence of bias in estimates of multiple sequence alignments.

Molecular biology and evolution ·Vol. 24 ·No. 11 ·2007-11-00 ·Pages 2433-42

Golubchik T, Wise MJ, Easteal S, Jermiin LS

Abstract

Multiple sequence alignment (MSA) is a crucial first step in the analysis of genomic and proteomic data. Commonly occurring sequence features, such as deletions and insertions, are known to affect the accuracy of MSA programs, but the extent to which alignment accuracy is affected by the positions of insertions and deletions has not been examined independently of other sources of sequence variation. We assessed the performance of 6 popular MSA programs (ClustalW, DIALIGN-T, MAFFT, MUSCLE, PROBCONS, and T-COFFEE) and one experimental program, PRANK, on amino acid sequences that differed only by short regions of deleted residues. The analysis showed that the absence of residues often led to an incorrect placement of gaps in the alignments, even though the sequences were otherwise identical. In data sets containing sequences with partially overlapping deletions, most MSA programs preferentially aligned the gaps vertically at the expense of incorrectly aligning residues in the flanking regions. Of the programs assessed, only DIALIGN-T was able to place overlapping gaps correctly relative to one another, but this was usually context dependent and was observed only in some of the data sets. In data sets containing sequences with non-overlapping deletions, both DIALIGN-T and MAFFT (G-INS-I) were able to align gaps with near-perfect accuracy, but only MAFFT produced the correct alignment consistently. The same was true for data sets that comprised isoforms of alternatively spliced gene products: both DIALIGN-T and MAFFT produced highly accurate alignments, with MAFFT being the more consistent of the 2 programs. Other programs, notably T-COFFEE and ClustalW, were less accurate. For all data sets, alignments produced by different MSA programs differed markedly, indicating that reliance on a single MSA program may give misleading results. It is therefore advisable to use more than one MSA program when dealing with sequences that may contain deletions or insertions, particularly for high-throughput and pipeline applications where manual refinement of each alignment is not practicable.

MeSH Terms
Amino Acid Sequence Computational Biology/methods Computer Simulation Molecular Sequence Data Reproducibility of Results Sequence Alignment/methods Sequence Analysis, Protein/methods Software
Authors & Affiliations
4 authors, click to expand affiliations / ORCID
Golubchik Tanya
School of Biological Sciences, University of Sydney, Sydney, Australia.
Wise Michael J
Easteal Simon
Jermiin Lars S
Article Info
Journal
Molecular biology and evolution
Abbr.
Mol Biol Evol
ISSN
0737-4038
Published
2007-11-00
Epub
2007-00-20
Pages
2433-42
Language
English
Region
United States
NLM ID
8501455
Subset
IM
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