Comprehensive gut microbiota composition and microbial interactions among the three age groups

There is a growing interest in studying the microbiota associated with aging by integrating multiple longevity researches while minimizing the influence of confounding factors. Here, we reprocessed metagenomic sequencing data from four different aging research studies and evaluated potential confounding factors in order to minimize the batch effect. Subsequently, we detected the diversity and abundance of the gut microbiome in three different age cohorts. Out of 1053 different bacteria species, only four showed substantial depletion across different age groups: Ligilactobacillus ruminis, Turicibacter sp. H121, Blautia massiliensis, and Anaerostipes hadrus. Archaea accumulated more in young individuals compared to elderly and centenarians. Candida albicans was more prevalent in centenarians, but Nakaseomyces glabratus (also known as Candida glabrata) was more common in elderly adults. Shuimuvirus IME207 showed a significant increase in centenarians compared to both control groups. In addition, we utilized a Fisher's exact test to investigate topological properties of differentially abundant microbiota in the co-occurrence network of each age group. Microbial signatures specific to different age stages were identified based on the condition: the reads showing differential abundance were higher compared to the other age groups. Lastly, we selected Methanosarcina sp. Kolksee for the Y group, Prevotella copri for the E group and Shuimuvirus IME207 for the C group as representatives of age-related characteristics to study how their interactions change during the aging process. Our results provide crucial insights into the gut microbiome's ecological dynamics in relation to the aging process.

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Publication Details

Journal
PLoS ONE
Published
2024-10-18
DOI
https://doi.org/10.1371/journal.pone.0305583
Citations
9
Primary Topic
Gut microbiota and health
Type
article
Field-Weighted Citation Impact
2.10

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article

Comprehensive gut microbiota composition and microbial interactions among the three age groups

J.H. He, Xiaohua Yang, Jun Ma
9 citations
PLoS ONE
Gut microbiota and health
2.10
article

Comprehensive gut microbiota composition and microbial interactions among the three age groups

J.H. He, Xiaohua Yang, Jun Ma
article en
9 citations

Abstract

There is a growing interest in studying the microbiota associated with aging by integrating multiple longevity researches while minimizing the influence of confounding factors. Here, we reprocessed metagenomic sequencing data from four different aging research studies and evaluated potential confounding factors in order to minimize the batch effect. Subsequently, we detected the diversity and abundance of the gut microbiome in three different age cohorts. Out of 1053 different bacteria species, only four showed substantial depletion across different age groups: Ligilactobacillus ruminis, Turicibacter sp. H121, Blautia massiliensis, and Anaerostipes hadrus. Archaea accumulated more in young individuals compared to elderly and centenarians. Candida albicans was more prevalent in centenarians, but Nakaseomyces glabratus (also known as Candida glabrata) was more common in elderly adults. Shuimuvirus IME207 showed a significant increase in centenarians compared to both control groups. In addition, we utilized a Fisher's exact test to investigate topological properties of differentially abundant microbiota in the co-occurrence network of each age group. Microbial signatures specific to different age stages were identified based on the condition: the reads showing differential abundance were higher compared to the other age groups. Lastly, we selected Methanosarcina sp. Kolksee for the Y group, Prevotella copri for the E group and Shuimuvirus IME207 for the C group as representatives of age-related characteristics to study how their interactions change during the aging process. Our results provide crucial insights into the gut microbiome's ecological dynamics in relation to the aging process.

PLoS ONEVol. 19(10)
Guangdong Academy of Sciences (CN), The People's Hospital Tongling (CN), Institute of Microbiology (CN), Shaanxi University of Science and Technology (CN)
Keio University, China Postdoctoral Science Foundation, Università degli Studi di Sassari, Università di Bologna, Shaanxi University of Science and Technology, General Hospital of People’s Liberation Army, Foshan University, Natural Science Basic Research Program of Shaanxi Province
Life below water
Openalex Percentile: Top 12%
Gut microbiota and health
2.10
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