Zwickl, D. J., Stein, J. C., Wing, R. A., Ware, D., Sanderson, M. J. (September 2014) Disentangling methodological and biological sources of gene tree discordance on Oryza (Poaceae) chromosome 3. Systematic Biology, 63 (5). pp. 645-659. ISSN 1076836X (ISSN)
Abstract
We describe new methods for characterizing gene tree discordance in phylogenomic data sets, which screen for deviations from neutral expectations, summarize variation in statistical support among gene trees, and allowcomparison of the patterns of discordance induced by various analysis choices. Using an exceptionally complete set of genome sequences for the short armof chromosome 3 in Oryza (rice) species,we applied these methods to identify the causes and consequences of differing patterns of discordance in the sets of gene trees inferred using a panel of 20 distinct analysis pipelines.We found that discordance patterns were strongly affected by aspects of data selection, alignment, and alignment masking. Unusual patterns of discordance evident when using certain pipelines were reduced or eliminated by using alternative pipelines, suggesting that theywere the product of methodological biases rather than evolutionary processes. In some cases, once such biaseswere eliminated, evolutionary processes such as introgression could be implicated.Additionally, patterns of gene tree discordance had significant downstream impacts on species tree inference. For example, inference from supermatrices was positivelymisleading when pipelines that led to biased gene treeswere used. Several resultsmay generalize to other data sets: we found that gene tree and species tree inference gave more reasonable results when intron sequence was included during sequence alignment and tree inference, the alignment software PRANK was used, and detectable "block-shift" alignment artifacts were removed. We discuss our findings in the context of well-established relationships in Oryza and continuing controversies regarding the domestication history of O. sativa. © The Author(s) 2014.
| Item Type: | Paper |
|---|---|
| Subjects: | bioinformatics bioinformatics > genomics and proteomics > analysis and processing > Sequence Data Processing bioinformatics > genomics and proteomics > genetics & nucleic acid processing > DNA, RNA structure, function, modification > chromosome bioinformatics > genomics and proteomics > genetics & nucleic acid processing > DNA, RNA structure, function, modification > chromosomes, structure and function > chromosome Investigative techniques and equipment > assays > next generation sequencing Investigative techniques and equipment > assays > whole genome sequencing |
| CSHL Authors: | |
| Communities: | CSHL labs > Ware lab |
| Depositing User: | Matt Covey |
| Date: | September 2014 |
| Date Deposited: | 08 Sep 2014 16:07 |
| Last Modified: | 09 Oct 2014 15:35 |
| Related URLs: | |
| URI: | https://repository.cshl.edu/id/eprint/30739 |
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