Inferring interactions in complex microbial communities from nucleotide sequence data and environmental parameters.
PLoS One
; 12(3): e0173765, 2017.
Article
em En
| MEDLINE
| ID: mdl-28288199
ABSTRACT
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.
Texto completo:
1
Coleções:
01-internacional
Base de dados:
MEDLINE
Assunto principal:
Microbiologia do Solo
/
Consórcios Microbianos
/
Modelos Teóricos
Tipo de estudo:
Clinical_trials
/
Risk_factors_studies
País/Região como assunto:
Europa
Idioma:
En
Revista:
PLoS One
Assunto da revista:
CIENCIA
/
MEDICINA
Ano de publicação:
2017
Tipo de documento:
Article