Substrate type determines metagenomic profiles from diverse chemical habitats

Jeffries, TC; Seymour, JR; Gilbert, JA; Dinsdale, EA; Newton, K; Leterme, SSC; Roudnew, B; Smith, RJ; Seuront, L; Mitchell, JG

Substrate type determines metagenomic profiles from diverse chemical habitats

Jeffries, TC

Seymour, JR

Gilbert, JA Dinsdale, EA Newton, K Leterme, SSC Roudnew, B Smith, RJ Seuront, L Mitchell, JG

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Publication Type:: Journal Article
Citation:: PLoS ONE, 2011, 6 (9)
Issue Date:: 2011-09-23

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Field	Value	Language
dc.contributor.author	Jeffries, TC https://orcid.org/0000-0001-6479-0353	en_US
dc.contributor.author	Seymour, JR https://orcid.org/0000-0002-3745-6541	en_US
dc.contributor.author	Gilbert, JA	en_US
dc.contributor.author	Dinsdale, EA	en_US
dc.contributor.author	Newton, K	en_US
dc.contributor.author	Leterme, SSC	en_US
dc.contributor.author	Roudnew, B	en_US
dc.contributor.author	Smith, RJ	en_US
dc.contributor.author	Seuront, L	en_US
dc.contributor.author	Mitchell, JG	en_US
dc.date.available	2011-08-29	en_US
dc.date.issued	2011-09-23	en_US
dc.identifier.citation	PLoS ONE, 2011, 6 (9)	en_US
dc.identifier.uri	http://hdl.handle.net/10453/18169
dc.description.abstract	Environmental parameters drive phenotypic and genotypic frequency variations in microbial communities and thus control the extent and structure of microbial diversity. We tested the extent to which microbial community composition changes are controlled by shifting physiochemical properties within a hypersaline lagoon. We sequenced four sediment metagenomes from the Coorong, South Australia from samples which varied in salinity by 99 Practical Salinity Units (PSU), an order of magnitude in ammonia concentration and two orders of magnitude in microbial abundance. Despite the marked divergence in environmental parameters observed between samples, hierarchical clustering of taxonomic and metabolic profiles of these metagenomes showed striking similarity between the samples (>89%). Comparison of these profiles to those derived from a wide variety of publically available datasets demonstrated that the Coorong sediment metagenomes were similar to other sediment, soil, biofilm and microbial mat samples regardless of salinity (>85% similarity). Overall, clustering of solid substrate and water metagenomes into discrete similarity groups based on functional potential indicated that the dichotomy between water and solid matrices is a fundamental determinant of community microbial metabolism that is not masked by salinity, nutrient concentration or microbial abundance. © 2011 Jeffries et al.	en_US
dc.relation.ispartof	PLoS ONE	en_US
dc.relation.isbasedon	10.1371/journal.pone.0025173	en_US
dc.subject.classification	General Science & Technology	en_US
dc.subject.mesh	Sequence Analysis, DNA	en_US
dc.subject.mesh	Soil Microbiology	en_US
dc.subject.mesh	Ecosystem	en_US
dc.subject.mesh	Seawater	en_US
dc.subject.mesh	Metagenome	en_US
dc.subject.mesh	Metagenomics	en_US
dc.title	Substrate type determines metagenomic profiles from diverse chemical habitats	en_US
dc.type	Journal Article
utslib.citation.volume	9	en_US
utslib.citation.volume	6	en_US
utslib.for	0605 Microbiology	en_US
utslib.for	0604 Genetics	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Science
pubs.organisational-group	/University of Technology Sydney/Strength - C3 - Climate Change Cluster
utslib.copyright.status	open_access
pubs.issue	9	en_US
pubs.publication-status	Published	en_US
pubs.volume	6	en_US

Abstract:

Environmental parameters drive phenotypic and genotypic frequency variations in microbial communities and thus control the extent and structure of microbial diversity. We tested the extent to which microbial community composition changes are controlled by shifting physiochemical properties within a hypersaline lagoon. We sequenced four sediment metagenomes from the Coorong, South Australia from samples which varied in salinity by 99 Practical Salinity Units (PSU), an order of magnitude in ammonia concentration and two orders of magnitude in microbial abundance. Despite the marked divergence in environmental parameters observed between samples, hierarchical clustering of taxonomic and metabolic profiles of these metagenomes showed striking similarity between the samples (>89%). Comparison of these profiles to those derived from a wide variety of publically available datasets demonstrated that the Coorong sediment metagenomes were similar to other sediment, soil, biofilm and microbial mat samples regardless of salinity (>85% similarity). Overall, clustering of solid substrate and water metagenomes into discrete similarity groups based on functional potential indicated that the dichotomy between water and solid matrices is a fundamental determinant of community microbial metabolism that is not masked by salinity, nutrient concentration or microbial abundance. © 2011 Jeffries et al.

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http://hdl.handle.net/10453/18169