Elderly group-related microbial biomarkers.

<div><p>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: <i>Ligilactobacillus ruminis</i>, <i>Turicibacter sp</i>. <i>H121</i>, <i>Blautia massiliensis</i>, and <i>Anaerostipes hadrus</i>. Archaea accumulated more in young individuals compared to elderly and centenarians. <i>Candida albicans</i> was more prevalent in centenarians, but <i>Nakaseomyces glabratus</i> (also known as <i>Candida glabrata</i>) was more common in elderly adults. <i>Shuimuvirus IME207</i> 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 <i>Methanosarcina sp</i>. <i>Kolksee</i> for the Y group, <i>Prevotella copri</i> for the E group and <i>Shuimuvirus IME207</i> 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.</p></div>

Publication Details

Journal
Figshare
Published
2024-10-18
DOI
https://doi.org/10.1371/journal.pone.0305583.s006
Primary Topic
Mycorrhizal Fungi and Plant Interactions
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article
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article

Elderly group-related microbial biomarkers.

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Mycorrhizal Fungi and Plant Interactions
article

Elderly group-related microbial biomarkers.

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Abstract

<div><p>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: <i>Ligilactobacillus ruminis</i>, <i>Turicibacter sp</i>. <i>H121</i>, <i>Blautia massiliensis</i>, and <i>Anaerostipes hadrus</i>. Archaea accumulated more in young individuals compared to elderly and centenarians. <i>Candida albicans</i> was more prevalent in centenarians, but <i>Nakaseomyces glabratus</i> (also known as <i>Candida glabrata</i>) was more common in elderly adults. <i>Shuimuvirus IME207</i> 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 <i>Methanosarcina sp</i>. <i>Kolksee</i> for the Y group, <i>Prevotella copri</i> for the E group and <i>Shuimuvirus IME207</i> 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.</p></div>

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Mycorrhizal Fungi and Plant Interactions
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Elderly group-related microbial biomarkers. · Figshare (2024) | TGRS Research Map | TGRS