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. 2022 Apr 26:13:843170.
doi: 10.3389/fmicb.2022.843170. eCollection 2022.

Human Gut Microbiome Across Different Lifestyles: From Hunter-Gatherers to Urban Populations

Affiliations

Human Gut Microbiome Across Different Lifestyles: From Hunter-Gatherers to Urban Populations

Santiago Rosas-Plaza et al. Front Microbiol. .

Erratum in

Abstract

Human lifestyle and its relationship with the human microbiome has been a line of research widely studied. This is because, throughout human history, civilizations have experienced different environments and lifestyles that could have promoted changes in the human microbiome. The comparison between industrialized and non-industrialized human populations in several studies has allowed to observe variation in the microbiome structure due to the population lifestyle. Nevertheless, the lifestyle of human populations is a gradient where several subcategories can be described. Yet, it is not known how these different lifestyles of human populations affect the microbiome structure on a large scale. Therefore, the main goal of this work was the collection and comparison of 16S data from the gut microbiome of populations that have different lifestyles around the world. With the data obtained from 14 studies, it was possible to compare the gut microbiome of 568 individuals that represent populations of hunter-gatherers, agricultural, agropastoral, pastoral, and urban populations. Results showed that industrialized populations present less diversity than those from non-industrialized populations, as has been described before. However, by separating traditional populations into different categories, we were able to observe patterns that cannot be appreciated by encompassing the different traditional lifestyles in a single category. In this sense, we could confirm that different lifestyles exhibit distinct alpha and beta diversity. In particular, the gut microbiome of pastoral and agropastoral populations seems to be more similar to those of urban populations according to beta diversity analysis. Beyond that, beta diversity analyses revealed that bacterial composition reflects the different lifestyles, representing a transition from hunters-gatherers to industrialized populations. Also, we found that certain groups such as Bacteoidaceae, Lanchospiraceae, and Rickenellaceae have been favored in the transition to modern societies, being differentially abundant in urban populations. Thus, we could hypothesize that due to adaptive/ecological processes; multifunctional bacterial groups (e.g., Bacteroidaceae) could be replacing some functions lost in the transition to modern lifestyle.

Keywords: 16S r RNA; bacterial diversity; gut microbiome; lifestyles; meta-analysis.

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Conflict of interest statement

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Figures

FIGURE 1
FIGURE 1
Alpha diversity of human gut microbiome across lifestyles. Boxplot of Phylogenetic diversity analysis (PD) between hunter-gatherers, agricultural, agropastoral, pastoral, and urban populations. Asterisks denote statistical significant differences given by Wilcoxon rank-sum test (*p < 0.05, **p < 0.01, ***p < 0.001, ****p < 0.0001).
FIGURE 2
FIGURE 2
Beta diversity analysis of human gut microbiome between lifestyles. (A) Principal Coordinates Analysis (PCoA) with unweighted UniFrac distance at the family level. (B) Boxplots of the distribution of each lifestyle across axis 1 of the PCoA. (C) Boxplot of the Multivariate Beta Dispersion analysis comparison of different lifestyles. Asterisks denote statistical significant differences given by Wilcoxon rank-sum test (*p < 0.05, **p < 0.01, ***p < 0.001, ****p < 0.0001).
FIGURE 3
FIGURE 3
Differentially abundant bacterial families between lifestyles. (A) Alluvial plot representing the differentially abundant families among lifestyles according to LEfSe and DEseq2 analyses. (B) Linear Discriminant Analysis with Effect Size (LEfSe) at the family level between lifestyles. Only features with LDA score higher than 2.0 and p < 0.05 were included. (C) Stacked barplot of relative abundance of the top 20 most abundant bacterial families in each lifestyle.

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