Inferring interactions in complex microbial communities from nucleotide sequence data and environmental parameters.

Inferring interactions in complex microbial communities from nucleotide sequence data and environmental parameters.

Interactions occur between two or more organisms affecting each other. Interactions are decisive for the ecology of the organisms. Without direct experimental evidence the analysis of interactions is difficult. Correlation analyses that are based on co-occurrences are often used to approximate inter...

Full description

Bibliographic Details
Main Authors: Yu Shang, Johannes Sikorski, Michael Bonkowski, Anna-Maria Fiore-Donno, Ellen Kandeler, Sven Marhan, Runa S Boeddinghaus, Emily F Solly, Marion Schrumpf, Ingo Schöning, Tesfaye Wubet, Francois Buscot, Jörg Overmann
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2017-01-01
Series:PLoS ONE
Online Access:http://europepmc.org/articles/PMC5348048?pdf=render
id doaj-85c80e3adb2f4409aebd0ece9cdd7540
record_format Article
spelling doaj-85c80e3adb2f4409aebd0ece9cdd75402020-11-25T01:53:30ZengPublic Library of Science (PLoS)PLoS ONE1932-62032017-01-01123e017376510.1371/journal.pone.0173765Inferring interactions in complex microbial communities from nucleotide sequence data and environmental parameters.Yu ShangJohannes SikorskiMichael BonkowskiAnna-Maria Fiore-DonnoEllen KandelerSven MarhanRuna S BoeddinghausEmily F SollyMarion SchrumpfIngo SchöningTesfaye WubetFrancois BuscotJörg OvermannInteractions occur between two or more organisms affecting each other. Interactions are decisive for the ecology of the organisms. Without direct experimental evidence the analysis of interactions is difficult. Correlation analyses that are based on co-occurrences are often used to approximate interaction. Here, we present a new mathematical model to estimate the interaction strengths between taxa, based on changes in their relative abundances across environmental gradients.http://europepmc.org/articles/PMC5348048?pdf=render
collection DOAJ
language English
format Article
sources DOAJ
author Yu Shang
Johannes Sikorski
Michael Bonkowski
Anna-Maria Fiore-Donno
Ellen Kandeler
Sven Marhan
Runa S Boeddinghaus
Emily F Solly
Marion Schrumpf
Ingo Schöning
Tesfaye Wubet
Francois Buscot
Jörg Overmann
spellingShingle Yu Shang
Johannes Sikorski
Michael Bonkowski
Anna-Maria Fiore-Donno
Ellen Kandeler
Sven Marhan
Runa S Boeddinghaus
Emily F Solly
Marion Schrumpf
Ingo Schöning
Tesfaye Wubet
Francois Buscot
Jörg Overmann
Inferring interactions in complex microbial communities from nucleotide sequence data and environmental parameters.
PLoS ONE
author_facet Yu Shang
Johannes Sikorski
Michael Bonkowski
Anna-Maria Fiore-Donno
Ellen Kandeler
Sven Marhan
Runa S Boeddinghaus
Emily F Solly
Marion Schrumpf
Ingo Schöning
Tesfaye Wubet
Francois Buscot
Jörg Overmann
author_sort Yu Shang
title Inferring interactions in complex microbial communities from nucleotide sequence data and environmental parameters.
title_short Inferring interactions in complex microbial communities from nucleotide sequence data and environmental parameters.
title_full Inferring interactions in complex microbial communities from nucleotide sequence data and environmental parameters.
title_fullStr Inferring interactions in complex microbial communities from nucleotide sequence data and environmental parameters.
title_full_unstemmed Inferring interactions in complex microbial communities from nucleotide sequence data and environmental parameters.
title_sort inferring interactions in complex microbial communities from nucleotide sequence data and environmental parameters.
publisher Public Library of Science (PLoS)
series PLoS ONE
issn 1932-6203
publishDate 2017-01-01
description Interactions occur between two or more organisms affecting each other. Interactions are decisive for the ecology of the organisms. Without direct experimental evidence the analysis of interactions is difficult. Correlation analyses that are based on co-occurrences are often used to approximate interaction. Here, we present a new mathematical model to estimate the interaction strengths between taxa, based on changes in their relative abundances across environmental gradients.
url http://europepmc.org/articles/PMC5348048?pdf=render
work_keys_str_mv AT yushang inferringinteractionsincomplexmicrobialcommunitiesfromnucleotidesequencedataandenvironmentalparameters
AT johannessikorski inferringinteractionsincomplexmicrobialcommunitiesfromnucleotidesequencedataandenvironmentalparameters
AT michaelbonkowski inferringinteractionsincomplexmicrobialcommunitiesfromnucleotidesequencedataandenvironmentalparameters
AT annamariafioredonno inferringinteractionsincomplexmicrobialcommunitiesfromnucleotidesequencedataandenvironmentalparameters
AT ellenkandeler inferringinteractionsincomplexmicrobialcommunitiesfromnucleotidesequencedataandenvironmentalparameters
AT svenmarhan inferringinteractionsincomplexmicrobialcommunitiesfromnucleotidesequencedataandenvironmentalparameters
AT runasboeddinghaus inferringinteractionsincomplexmicrobialcommunitiesfromnucleotidesequencedataandenvironmentalparameters
AT emilyfsolly inferringinteractionsincomplexmicrobialcommunitiesfromnucleotidesequencedataandenvironmentalparameters
AT marionschrumpf inferringinteractionsincomplexmicrobialcommunitiesfromnucleotidesequencedataandenvironmentalparameters
AT ingoschoning inferringinteractionsincomplexmicrobialcommunitiesfromnucleotidesequencedataandenvironmentalparameters
AT tesfayewubet inferringinteractionsincomplexmicrobialcommunitiesfromnucleotidesequencedataandenvironmentalparameters
AT francoisbuscot inferringinteractionsincomplexmicrobialcommunitiesfromnucleotidesequencedataandenvironmentalparameters
AT jorgovermann inferringinteractionsincomplexmicrobialcommunitiesfromnucleotidesequencedataandenvironmentalparameters
_version_ 1724990602231152640

Similar Items