Observatorio de I+D+i UPM

Memorias de investigación
Artículos en revistas:
Enterotype-like microbiome stratification as emergent structure in complex adaptive systems: A mathematical model
Año:2018
Áreas de investigación
  • Física química y matemáticas,
  • Ingenierías
Datos
Descripción
Background Metagenomics has provided valuable insight into human gut microbiome composition together with its structure and function. Studies suggest that the adult gut microbial community possess a certain amount of stability and resilience. The architecture of host-microbial symbiotic states suggested by microbiome clustering findings and co-occurrence functional networks might be involved in these properties. Models for understanding the underlying structure (including enterotypes) and derived properties are in demand by researchers. Principal findings We propose a simple random function system as a model approach of the adaption and self-organization of the microbiome space when fostering the optimal functioning of the system. The construction of this model is based on key facts of microbiota functioning reported in recent studies. We aim to demonstrate the existence of a probability distribution as a microbiome attractor resulting from an intermittent adaption process. Its mathematical structural properties explain the stability of gut microbiota and its ability for restoration after occasional perturbations. The model is consistent with microbiome clustering results and provides precise mathematical meaning to the gradient among enterotypes previously reported. The model also explains how intermittent perturbations, such as long-term dietary patterns, might affect the microbiome structure, and these results are consistent with previously reported experimental results. Conclusions/significance These mathematical facts implied by the model unveil an underlying mechanism that may explain gut microbiome structure and related experimental findings. Within this framework, stability and resilience properties of human gut microbiota are explained as a consequence of the model.
Internacional
Si
JCR del ISI
Si
Título de la revista
bioRxiv
ISSN
0177-798X
Factor de impacto JCR
Información de impacto
Volumen
DOI
10.1101/402701
Número de revista
Desde la página
20
Hasta la página
40
Mes
AGOSTO
Ranking
Esta actividad pertenece a memorias de investigación
Participantes
  • Autor: Miguel Angel Martin Martin (UPM)
Grupos de investigación, Departamentos, Centros e Institutos de I+D+i relacionados
  • Creador: Departamento: Matemática Aplicada
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