Cargando…
Assembly-Driven Community Genomics of a Hypersaline Microbial Ecosystem
Microbial populations inhabiting a natural hypersaline lake ecosystem in Lake Tyrrell, Victoria, Australia, have been characterized using deep metagenomic sampling, iterative de novo assembly, and multidimensional phylogenetic binning. Composite genomes representing habitat-specific microbial popula...
Autores principales: | , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2013
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3630111/ https://www.ncbi.nlm.nih.gov/pubmed/23637883 http://dx.doi.org/10.1371/journal.pone.0061692 |
_version_ | 1782266657568194560 |
---|---|
author | Podell, Sheila Ugalde, Juan A. Narasingarao, Priya Banfield, Jillian F. Heidelberg, Karla B. Allen, Eric E. |
author_facet | Podell, Sheila Ugalde, Juan A. Narasingarao, Priya Banfield, Jillian F. Heidelberg, Karla B. Allen, Eric E. |
author_sort | Podell, Sheila |
collection | PubMed |
description | Microbial populations inhabiting a natural hypersaline lake ecosystem in Lake Tyrrell, Victoria, Australia, have been characterized using deep metagenomic sampling, iterative de novo assembly, and multidimensional phylogenetic binning. Composite genomes representing habitat-specific microbial populations were reconstructed for eleven different archaea and one bacterium, comprising between 0.6 and 14.1% of the planktonic community. Eight of the eleven archaeal genomes were from microbial species without previously cultured representatives. These new genomes provide habitat-specific reference sequences enabling detailed, lineage-specific compartmentalization of predicted functional capabilities and cellular properties associated with both dominant and less abundant community members, including organisms previously known only by their 16S rRNA sequences. Together, these data provide a comprehensive, culture-independent genomic blueprint for ecosystem-wide analysis of protein functions, population structure, and lifestyles of co-existing, co-evolving microbial groups within the same natural habitat. The “assembly-driven” community genomic approach demonstrated in this study advances our ability to push beyond single gene investigations, and promotes genome-scale reconstructions as a tangible goal in the quest to define the metabolic, ecological, and evolutionary dynamics that underpin environmental microbial diversity. |
format | Online Article Text |
id | pubmed-3630111 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2013 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-36301112013-05-01 Assembly-Driven Community Genomics of a Hypersaline Microbial Ecosystem Podell, Sheila Ugalde, Juan A. Narasingarao, Priya Banfield, Jillian F. Heidelberg, Karla B. Allen, Eric E. PLoS One Research Article Microbial populations inhabiting a natural hypersaline lake ecosystem in Lake Tyrrell, Victoria, Australia, have been characterized using deep metagenomic sampling, iterative de novo assembly, and multidimensional phylogenetic binning. Composite genomes representing habitat-specific microbial populations were reconstructed for eleven different archaea and one bacterium, comprising between 0.6 and 14.1% of the planktonic community. Eight of the eleven archaeal genomes were from microbial species without previously cultured representatives. These new genomes provide habitat-specific reference sequences enabling detailed, lineage-specific compartmentalization of predicted functional capabilities and cellular properties associated with both dominant and less abundant community members, including organisms previously known only by their 16S rRNA sequences. Together, these data provide a comprehensive, culture-independent genomic blueprint for ecosystem-wide analysis of protein functions, population structure, and lifestyles of co-existing, co-evolving microbial groups within the same natural habitat. The “assembly-driven” community genomic approach demonstrated in this study advances our ability to push beyond single gene investigations, and promotes genome-scale reconstructions as a tangible goal in the quest to define the metabolic, ecological, and evolutionary dynamics that underpin environmental microbial diversity. Public Library of Science 2013-04-18 /pmc/articles/PMC3630111/ /pubmed/23637883 http://dx.doi.org/10.1371/journal.pone.0061692 Text en https://creativecommons.org/publicdomain/zero/1.0/ This is an open-access article distributed under the terms of the Creative Commons Public Domain declaration, which stipulates that, once placed in the public domain, this work may be freely reproduced, distributed, transmitted, modified, built upon, or otherwise used by anyone for any lawful purpose. |
spellingShingle | Research Article Podell, Sheila Ugalde, Juan A. Narasingarao, Priya Banfield, Jillian F. Heidelberg, Karla B. Allen, Eric E. Assembly-Driven Community Genomics of a Hypersaline Microbial Ecosystem |
title | Assembly-Driven Community Genomics of a Hypersaline Microbial Ecosystem |
title_full | Assembly-Driven Community Genomics of a Hypersaline Microbial Ecosystem |
title_fullStr | Assembly-Driven Community Genomics of a Hypersaline Microbial Ecosystem |
title_full_unstemmed | Assembly-Driven Community Genomics of a Hypersaline Microbial Ecosystem |
title_short | Assembly-Driven Community Genomics of a Hypersaline Microbial Ecosystem |
title_sort | assembly-driven community genomics of a hypersaline microbial ecosystem |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3630111/ https://www.ncbi.nlm.nih.gov/pubmed/23637883 http://dx.doi.org/10.1371/journal.pone.0061692 |
work_keys_str_mv | AT podellsheila assemblydrivencommunitygenomicsofahypersalinemicrobialecosystem AT ugaldejuana assemblydrivencommunitygenomicsofahypersalinemicrobialecosystem AT narasingaraopriya assemblydrivencommunitygenomicsofahypersalinemicrobialecosystem AT banfieldjillianf assemblydrivencommunitygenomicsofahypersalinemicrobialecosystem AT heidelbergkarlab assemblydrivencommunitygenomicsofahypersalinemicrobialecosystem AT allenerice assemblydrivencommunitygenomicsofahypersalinemicrobialecosystem |