Skip to main content
bioRxiv
  • Home
  • About
  • Submit
  • ALERTS / RSS
Advanced Search
New Results

Linking comparative genomics and environmental distribution patterns of microbial populations through metagenomics

View ORCID ProfileTom O. Delmont, View ORCID ProfileA. Murat Eren
doi: https://doi.org/10.1101/058750
Tom O. Delmont
1The Department of Medicine, The University of Chicago, Chicago, 60637 IL, USA
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Tom O. Delmont
A. Murat Eren
1The Department of Medicine, The University of Chicago, Chicago, 60637 IL, USA
2Josephine Bay Paul Center for Comparative Molecular Biology and Evolution, Marine Biological Laboratory, Woods Hole, 02543 MA, USA
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for A. Murat Eren
  • For correspondence: meren{at}uchicago.edu
  • Abstract
  • Full Text
  • Info/History
  • Metrics
  • Preview PDF
Loading

Abstract

Combining well-established practices from comparative genomics and the emerging opportunities from assembly-based metagenomics can enhance the utility of increasing number of metagenome-assembled genomes (MAGs). Here we used protein clustering to characterize 48 MAGs and 10 cultivars based on their entire gene content, and linked this information to their environmental distribution patterns to better understand the microbial response to the 2010 Deepwater Horizon oil spill in the Gulf of Mexico coastline. Our results suggest that while most oil-associated bacterial populations originated from the ocean, a few actually emerged from the sand rare biosphere. These new findings suggest that there are considerable benefits to employ approaches from comparative genomics to study the whole content of newly identified genomes, and the investigation of emerging patterns in the environmental context can augment the efficacy of assembly-based metagenomic surveys.

Copyright 
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-NC 4.0 International license.
Back to top
PreviousNext
Posted June 13, 2016.
Download PDF
Email

Thank you for your interest in spreading the word about bioRxiv.

NOTE: Your email address is requested solely to identify you as the sender of this article.

Enter multiple addresses on separate lines or separate them with commas.
Linking comparative genomics and environmental distribution patterns of microbial populations through metagenomics
(Your Name) has forwarded a page to you from bioRxiv
(Your Name) thought you would like to see this page from the bioRxiv website.
CAPTCHA
This question is for testing whether or not you are a human visitor and to prevent automated spam submissions.
Share
Linking comparative genomics and environmental distribution patterns of microbial populations through metagenomics
Tom O. Delmont, A. Murat Eren
bioRxiv 058750; doi: https://doi.org/10.1101/058750
Twitter logo Facebook logo LinkedIn logo Mendeley logo
Citation Tools
Linking comparative genomics and environmental distribution patterns of microbial populations through metagenomics
Tom O. Delmont, A. Murat Eren
bioRxiv 058750; doi: https://doi.org/10.1101/058750

Citation Manager Formats

  • BibTeX
  • Bookends
  • EasyBib
  • EndNote (tagged)
  • EndNote 8 (xml)
  • Medlars
  • Mendeley
  • Papers
  • RefWorks Tagged
  • Ref Manager
  • RIS
  • Zotero
  • Tweet Widget
  • Facebook Like
  • Google Plus One

Subject Area

  • Microbiology
Subject Areas
All Articles
  • Animal Behavior and Cognition (7539)
  • Biochemistry (17344)
  • Bioengineering (13587)
  • Bioinformatics (41210)
  • Biophysics (21131)
  • Cancer Biology (18244)
  • Cell Biology (25100)
  • Clinical Trials (138)
  • Developmental Biology (13203)
  • Ecology (19610)
  • Epidemiology (2067)
  • Evolutionary Biology (24056)
  • Genetics (15460)
  • Genomics (22207)
  • Immunology (17459)
  • Microbiology (39786)
  • Molecular Biology (16900)
  • Neuroscience (87261)
  • Paleontology (662)
  • Pathology (2793)
  • Pharmacology and Toxicology (4728)
  • Physiology (7526)
  • Plant Biology (14882)
  • Scientific Communication and Education (2031)
  • Synthetic Biology (4219)
  • Systems Biology (9687)
  • Zoology (2244)