In:
Genetics, Oxford University Press (OUP), Vol. 197, No. 3 ( 2014-07-01), p. 925-937
Kurzfassung:
Metagenomics provides a powerful new tool set for investigating evolutionary interactions with the environment. However, an absence of model-based statistical methods means that researchers are often not able to make full use of this complex information. We present a Bayesian method for inferring the phylogenetic relationship among related organisms found within metagenomic samples. Our approach exploits variation in the frequency of taxa among samples to simultaneously infer each lineage haplotype, the phylogenetic tree connecting them, and their frequency within each sample. Applications of the algorithm to simulated data show that our method can recover a substantial fraction of the phylogenetic structure even in the presence of high rates of migration among sample sites. We provide examples of the method applied to data from green sulfur bacteria recovered from an Antarctic lake, plastids from mixed Plasmodium falciparum infections, and virulent Neisseria meningitidis samples.
Materialart:
Online-Ressource
ISSN:
1943-2631
DOI:
10.1534/genetics.114.161299
Sprache:
Englisch
Verlag:
Oxford University Press (OUP)
Publikationsdatum:
2014
ZDB Id:
1477228-0
SSG:
12
