Surveys, simulation and single-cell assays relate function and phylogeny in a lake ecosystem View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2016-09

AUTHORS

Sarah P Preheim, Scott W Olesen, Sarah J Spencer, Arne Materna, Charuleka Varadharajan, Matthew Blackburn, Jonathan Friedman, Jorge Rodríguez, Harold Hemond, Eric J Alm

ABSTRACT

Much remains unknown about what drives microbial community structure and diversity. Highly structured environments might offer clues. For example, it may be possible to identify metabolically similar species as groups of organisms that correlate spatially with the geochemical processes they carry out. Here, we use a 16S ribosomal RNA gene survey in a lake that has chemical gradients across its depth to identify groups of spatially correlated but phylogenetically diverse organisms. Some groups had distributions across depth that aligned with the distributions of metabolic processes predicted by a biogeochemical model, suggesting that these groups performed biogeochemical functions. A single-cell genetic assay showed, however, that the groups associated with one biogeochemical process, sulfate reduction, contained only a few organisms that have the genes required to reduce sulfate. These results raise the possibility that some of these spatially correlated groups are consortia of phylogenetically diverse and metabolically different microbes that cooperate to carry out geochemical functions. More... »

PAGES

16130

Identifiers

URI

http://scigraph.springernature.com/pub.10.1038/nmicrobiol.2016.130

DOI

http://dx.doi.org/10.1038/nmicrobiol.2016.130

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1021717804

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/27562262


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Download the RDF metadata as:  json-ld nt turtle xml License info

HOW TO GET THIS DATA PROGRAMMATICALLY:

JSON-LD is a popular format for linked data which is fully compatible with JSON.

curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1038/nmicrobiol.2016.130'

N-Triples is a line-based linked data format ideal for batch operations.

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1038/nmicrobiol.2016.130'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1038/nmicrobiol.2016.130'

RDF/XML is a standard XML format for linked data.

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1038/nmicrobiol.2016.130'


 

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