Congruence of Morphological and Molecular Phylogenies
Abstract
When phylogenetic trees constructed from morphological and molecular evidence disagree (i.e. are incongruent) it has been suggested that the differences are spurious or that the molecular results should be preferred a priori. Comparing trees can increase confidence (congruence), or demonstrate that at least one tree is incorrect (incongruence). Statistical analyses of 181 molecular and 49 morphological trees shows that incongruence is greater between than within the morphological and molecular partitions, and this difference is significant for the molecular partition. Because the level of incongruence between a pair of trees gives a minimum bound on how much error is present in the two trees, our results indicate that the level of error may be underestimated by congruence within partitions. Thus comparisons between morphological and molecular trees are particularly useful for detecting this incongruence (spurious or otherwise). Molecular trees have higher average congruence than morphological trees, but the difference is not significant, and both within- and between-partition incongruence is much lower than expected by chance alone. Our results suggest that both molecular and morphological trees are, in general, useful approximations of a common underlying phylogeny and thus, when molecules and morphology clash, molecular phylogenies should not be considered more reliable a priori.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
For historical disciplines, congruence of independent datasets is the strongest argument one can make for historical accuracy.
“for historical disciplines congruence of independent datasets is the strongest argument one can make for historical accuracy (Pisani et al. 2007).”
From The Ediacaran emergence of bilaterians: congruence between the genetic and the geological fossil records (2008) · cites this paper as Pisani et al. 2007
Cites
Pisani, D. (2004) · Systematic Biology · doi:10.1080/10635150490888877 · Cited by 107 · cited 2× · see citing works
“For molecular data, systematic errors resulting from, for example, long-branch attraction (Pisani 2004), patterns of codon usage, and base composition biases (Swofford et al. 1996) may affect different genes, sometime all the genes, of a given taxon (Driskell et al. 2004).”
BackgroundSelf-citation
Flagged first, then by citations
Cited by
Sorted by citations
Peterson, K. J., Cotton, J. A., Gehling, J. G., & Pisani, D. (2008) · Philosophical Transactions of the Royal Society B: Biological Sciences · doi:10.1098/rstb.2007.2233 · Cited by 313 · see citing works
Self-citationSperling, E. A., Peterson, K. J., & Pisani, D. (2009) · Molecular Biology and Evolution · doi:10.1093/molbev/msp148 · Cited by 172 · see citing works
Self-citationDeep Phylogeny and Evolution of Sponges (Phylum Porifera)
Wörheide, G., Dohrmann, M., Erpenbeck, D., Larroux, C., Maldonado, M., Voigt, O., Borchiellini, C., & Lavrov, D. V. (2012) · Advances in Marine Biology · doi:10.1016/b978-0-12-387787-1.00007-6 · Cited by 166 · see citing works
The mouth, the anus, and the blastopore—open questions about questionable openings
Hejnol, A., & Martindale, M. Q. (2009) · Animal Evolution · doi:10.1093/acprof:oso/9780199549429.003.0004 · Cited by 37 · see citing works
Genomic, phylogenetic, and cell biological insights into metazoan origins
Nichols, S. A., Dayel, M. J., & King, N. (2009) · Animal Evolution · doi:10.1093/acprof:oso/9780199549429.003.0003 · Cited by 24 · see citing works
- Authors
- Pisani, D., Benton, M. J., & Wilkinson, M.
- Venue
- Acta Biotheoretica
- Published
- 2007-07-27
- Volume
- 55
- Issue
- 3
- Pages
- 269-281
- ISSN
- 0001-5342
- 1572-8358
- Cited by
- 54
- References
- 1
- Language
- en
- Licence
- www.springer.com/tdm (tdm)
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review