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Gut microbiota ecology: Biodiversity estimated from hybrid neutral-niche model increases with health status and aging
- Source :
- PLoS ONE, PLOS ONE, BIRD: BCAM's Institutional Repository Data, instname, PLoS ONE, Vol 15, Iss 10, p e0237207 (2020)
- Publication Year :
- 2020
- Publisher :
- Public Library of Science, 2020.
-
Abstract
- In this work we propose an index to estimate the gut microbiota biodiversity using a modeling approach with the aim of describing its relationship with health and aging. The gut microbiota, a complex ecosystem that links nutrition and metabolism, has a pervasive effect on all body organs and systems, undergoes profound changes with age and life-style, and substantially contributes to the pathogenesis of age-related diseases. For these reasons, the gut microbiota is a suitable candidate for assessing and quantifying healthy aging, i.e. the capability of individuals to reach an advanced age, avoiding or postponing major age-related diseases. The importance of the gut microbiota in health and aging has been proven to be related not only to its taxonomic composition, but also to its ecological properties, namely its biodiversity. Following an ecological approach, here we intended to characterize the relationship between the gut microbiota biodiversity and healthy aging through the development a parsimonious model of gut microbiota from which biodiversity can be estimated. We analysed publicly available metagenomic data relative to subjects of different ages, countries, nutritional habits and health status and we showed that a hybrid niche-neutral model well describes the observed patterns of bacterial relative abundance. Moreover, starting from such ecological modeling, we derived an estimate of the gut microbiota biodiversity that is consistent with classical indices, while having a higher statistical power. This allowed us to unveil an increase of the gut microbiota biodiversity during aging and to provide a good predictor of health status in old age, dependent on life-style and aging disorders.
- Subjects :
- 0301 basic medicine
Male
Aging
European People
Physiology
Health Status
Biodiversity
Gut flora
Healthy Aging
Database and Informatics Methods
Mathematical and Statistical Techniques
Ecosystem model
RNA, Ribosomal, 16S
Medicine and Health Sciences
Ethnicities
Child
2. Zero hunger
Aged, 80 and over
Multidisciplinary
biology
Ecology
Statistics
Middle Aged
Italian People
Shannon Index
Child, Preschool
Physical Sciences
Medicine
Female
Simpson Index
Databases, Nucleic Acid
Research Article
Adult
Ecological Metrics
Adolescent
Science
Ecology (disciplines)
030106 microbiology
Niche
Health Informatics
Gut microbiota
Stochastic processe
Research and Analysis Methods
digestive system
Models, Biological
03 medical and health sciences
Young Adult
Humans
16S rRNA
Statistical Methods
Relative species abundance
Aged
Ecology and Environmental Sciences
Infant, Newborn
Biology and Life Sciences
Infant
Species Diversity
Neutral theory
biology.organism_classification
Gastrointestinal Microbiome
Health Care
030104 developmental biology
Metagenomics
People and Places
Metagenome
Population Groupings
Geriatric Care
Physiological Processes
Neutral theory of molecular evolution
Organism Development
Mathematics
Developmental Biology
Forecasting
Subjects
Details
- Language :
- English
- ISSN :
- 19326203
- Volume :
- 15
- Issue :
- 10
- Database :
- OpenAIRE
- Journal :
- PLoS ONE
- Accession number :
- edsair.doi.dedup.....1945bd7f21e46fe6c50ef82a173d5897