Logo image
Novel Distances for Dollo Data
Journal article   Open access   Peer reviewed

Novel Distances for Dollo Data

M Woodhams, Dorothy A Steane, R C Jones, D Nicolle, V Moulton and B R Holland
Systematic Biology, Vol.62(1), pp.62-77
2013
pdf
PDF - Author Accepted Version488.37 kBDownloadView
Accepted VersionPDF - Author Accepted Version Open Access
url
https://doi.org/10.1093/sysbio/sys071View
Published Version

Abstract

Additive Dollo Distance Dollo process LogDet/paralinear distances Diversity Arrays Technology Eucalyptus phylogeny Adnataria phylogeny gene content phylogeny conditioning genomes
We investigate distances on binary (presence/absence) data in the context of a Dollo process, where a trait can only arise once on a phylogenetic tree but may be lost many times. We introduce a novel distance, the Additive Dollo Distance (ADD), that applies to data generated under a Dollo model, and show that it has some useful theoretical properties including an intriguing link to the LogDet/paralinear distance. Simulations of Dollo data are used to compare a number of binary distances including ADD, LogDet, a restriction-site-based distance, and some simple, but to our knowledge previously unstudied, variations on common binary distances. The simulations suggest that ADD outperforms other distances on Dollo data. Interestingly, we found that the LogDet distance performs poorly in the context of a Dollo process, this may have implications for its use in connection with conditioned genome reconstruction. We apply the ADD to two Diversity Arrays Technology (DArT) datasets, one that broadly covers Eucalyptus species and one that focuses on the Eucalyptus series Adnataria. We also reanalyse gene family presence/absence data from bacterial genomes obtained from the COG database and compare the results to previous phylogenies estimated using the conditioned genome reconstruction approach. The results for these case studies are largely congruent with previous studies, in some cases giving more phylogenetic resolution.

Details

Metrics

42 File views/ downloads
666 Record Views

InCites Highlights

These are selected metrics from InCites Benchmarking & Analytics tool, related to this output

Collaboration types
Domestic collaboration
International collaboration
Web Of Science research areas
Evolutionary Biology

UN Sustainable Development Goals (SDGs)

This output has contributed to the advancement of the following goals:

#15 Life on Land

Source: InCites

Logo image