2017
DOI: 10.1186/s40168-017-0338-7
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Recent urbanization in China is correlated with a Westernized microbiome encoding increased virulence and antibiotic resistance genes

Abstract: BackgroundUrbanization is associated with an increased risk for a number of diseases, including obesity, diabetes, and cancer, which all also show associations with the microbiome. While microbial community composition has been shown to vary across continents and in traditional versus Westernized societies, few studies have examined urban-rural differences in neighboring communities within a single country undergoing rapid urbanization. In this study, we compared the gut microbiome, plasma metabolome, dietary … Show more

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Cited by 82 publications
(79 citation statements)
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“…Whereas the direction of compositional shifts (such as decrease in Succinivibrio or Prevotella, and increase in Bacteroides or Allistipes) along the urbanization gradient was consistent with those previously observed when comparing populations with different industrialization 1,3,5 or urbanization 20,21,23,39 levels, we found little evidence of diversity loss, which usually accompanies industrialization [1][2][3][4][5][6][7][8] . Together with other studies reporting inconsistent findings regarding the difference in diversity between neighbouring rural and urban populations 20,21,23 , this suggests that the bacterial diversity loss might mostly occur between urban areas from minimally industrialized countries and urban areas from highly industrialized countries. Interestingly, this might also be the case for commensal gut eukaryotes, as the prevalence of Entamoeba sp.…”
Section: Discussionmentioning
confidence: 50%
See 1 more Smart Citation
“…Whereas the direction of compositional shifts (such as decrease in Succinivibrio or Prevotella, and increase in Bacteroides or Allistipes) along the urbanization gradient was consistent with those previously observed when comparing populations with different industrialization 1,3,5 or urbanization 20,21,23,39 levels, we found little evidence of diversity loss, which usually accompanies industrialization [1][2][3][4][5][6][7][8] . Together with other studies reporting inconsistent findings regarding the difference in diversity between neighbouring rural and urban populations 20,21,23 , this suggests that the bacterial diversity loss might mostly occur between urban areas from minimally industrialized countries and urban areas from highly industrialized countries. Interestingly, this might also be the case for commensal gut eukaryotes, as the prevalence of Entamoeba sp.…”
Section: Discussionmentioning
confidence: 50%
“…These discrepancies can be partially explained by different definitions of rural areas used in these studies (from isolated pasturing areas in Mongolia to cities of 100,000 inhabitants in Russia) and by quite small sample sizes in some cases. Interestingly, whereas Winglee et al 21 observed, as expected, a trend towards higher OTU (operational taxonomic unit) and genus richness in rural areas, they found a higher evenness at higher taxonomic levels in urban areas (phylum, class and order). Therefore, urbanization seems to influence the gut microbiome diversity in a less clear-cut manner than industrialization, which is associated with a decrease in…”
mentioning
confidence: 65%
“…Intriguingly, Winglee et al showed that urbanized Chinese people had gut microbiota with closer resemblance to Americans rather than that of rural Chinese people. 87 This indicates that differences previously attributed to ethnical or geographical differences may instead be explained by differences in lifestyle. While a fiber-rich, plant-based diet is associated with a gut microbiota rich in the Bacteroidetes phylum and the genus Prevotella, a typical western diet is associated with increased Firmicutes and Bacteroides.…”
Section: Differences In Methodology May Explain the Heterogeneous Resmentioning
confidence: 95%
“…The datasets used in this study include 2 human datasets (named as Human_KW [28] and Human_TY [29] in our study after the initials of their first authors), 1 gorilla [30], 1 mouse [31], 1 chicken [32] and 2 soil datasets Soil_LWM [33] and Soil_AAN [34]. Each dataset has publicly available 16S rRNA and metagenome sequences and is associated with a two-level categorical metadata.…”
Section: Methodsmentioning
confidence: 99%