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Individuality of the Extremely Premature Infant Gut Microbiota Is Driven by Ecological Drift
David Seki1,2, Clemens Schauberger3, Bela Hausmann4,5
1Centre for Microbiology and Environmental Systems Science, Department of Microbiology and Ecosystem Science, Division of Microbial Ecology, University of Viennagrid.10420.37, Vienna, Austria.
Insights
The gut microbiome in premature infants develops randomly, primarily driven by ecological drift. Dispersal limitations increase with age, influencing gut microbiome stability in both premature and term-born infants.
Area of Science:
- Microbiology
- Ecology
- Neonatal Health
Background:
- Early-life gut microbiome colonization impacts long-term health.
- Premature infants face risks from aberrant gut microbiota development, leading to infections and inflammation.
- Understanding gut microbiome assembly in neonates is crucial but limited.
Purpose of the Study:
- To quantify ecological processes governing gut microbiome composition in premature infants.
- To investigate the drivers of interindividual variation in neonatal gut microbiota.
- To compare microbial assembly in premature versus term-born infants.
Main Methods:
- Utilized 16S rRNA gene amplicon sequencing data from 60 extremely premature neonates.
- Applied a mathematical framework to analyze spatiotemporal microbiome data.
- Compared findings with a cohort of 32 healthy term-born infants.
Main Results:
- Gut colonization in early life is predominantly stochastic, driven by ecological drift.
- Interindividual diversification of the gut microbiota is a key outcome of this random process.
- Dispersal limitations increase in significance with age, contributing to microbiome stability.
Conclusions:
- The unique gut microbiota composition in extremely premature infants largely results from stochastic assembly processes.
- Initial gut microbiome assembly is primarily driven by neutral ecological processes.
- While unpredictable, microbiome assembly shows increasing dispersal limitations with age, relevant for neonatal health.
Abstract:
The initial contact between humans and their colonizing gut microbiota after birth is thought to have expansive and long-lasting consequences for physiology and health. Premature infants are at high risk of suffering from lifelong impairments, due in part to aberrant development of gut microbiota that can contribute to early-life infections and inflammation. Despite their importance to health, the ecological assembly and succession processes governing gut microbiome composition in premature infants remained incompletely understood. Here, we quantified these ecological processes in a spatiotemporally resolved 16S rRNA gene amplicon sequencing data set of 60 extremely premature neonates using an established mathematical framework. We found that gut colonization during the first months of life is predominantly stochastic, whereby interindividual diversification of microbiota is driven by ecological drift. Dispersal limitations are initially small but have increasing influence at later stages of succession. Furthermore, we find similar trends in a cohort of 32 healthy term-born infants. These results suggest that the uniqueness of individual gut microbiota of extremely premature infants is largely due to stochastic assembly. IMPORTANCE Our knowledge concerning the initial gut microbiome assembly in human neonates is limited, and scientific progression in this interdisciplinary field is hindered due to the individuality in composition of gut microbiota. Our study addresses the ecological processes that result in the observed individuality of microbes in the gastrointestinal tract between extremely premature and term-born infants. We find that initial assembly is mainly driven by neutral ecological processes. Interestingly, while this progression is predominantly random, limitations to the dispersal of microbiota between infants become increasingly important with age and are concomitant features of gut microbiome stability. This indicates that while we cannot predict gut microbiota assembly due to its random nature, we can expect the establishment of certain ecological features that are highly relevant for neonatal health.
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