期刊论文详细信息
PeerJ
PhyloSift: phylogenetic analysis of genomes and metagenomes
Jonathan A. Eisen1  Frederick A. Matsen IV2  Guillaume Jospin3  Eric Lowe3  Holly M. Bik3  Aaron E. Darling4 
[1] Department of Evolution and Ecology, University of California, Davis, CA, United States of America;Fred Hutchinson Cancer Research Center, Seattle, WA, United States of America;Genome Center, University of California, Davis, CA, United States of America;ithree institute, University of Technology Sydney, Sydney, Australia;
关键词: Metagenomics;    Phylogenetics;    Forensics;    Bayes factor;    Microbial diversity;    Community structure;   
DOI  :  10.7717/peerj.243
来源: DOAJ
【 摘 要 】

Like all organisms on the planet, environmental microbes are subject to the forces of molecular evolution. Metagenomic sequencing provides a means to access the DNA sequence of uncultured microbes. By combining DNA sequencing of microbial communities with evolutionary modeling and phylogenetic analysis we might obtain new insights into microbiology and also provide a basis for practical tools such as forensic pathogen detection.In this work we present an approach to leverage phylogenetic analysis of metagenomic sequence data to conduct several types of analysis. First, we present a method to conduct phylogeny-driven Bayesian hypothesis tests for the presence of an organism in a sample. Second, we present a means to compare community structure across a collection of many samples and develop direct associations between the abundance of certain organisms and sample metadata. Third, we apply new tools to analyze the phylogenetic diversity of microbial communities and again demonstrate how this can be associated to sample metadata.These analyses are implemented in an open source software pipeline called PhyloSift. As a pipeline, PhyloSift incorporates several other programs including LAST, HMMER, and pplacer to automate phylogenetic analysis of protein coding and RNA sequences in metagenomic datasets generated by modern sequencing platforms (e.g., Illumina, 454).

【 授权许可】

Unknown   

  文献评价指标  
  下载次数:0次 浏览次数:0次