Shared Species Analysis, Augmented by Stochasticity Analysis, Is More Effective Than Diversity Analysis in Detecting Variations in the Gut Microbiomes.

Front Microbiol · 2022 · PMC9343862 · PMID 35928167

Europe PMC DOI

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closest p

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partially significantno p-value reported

possibly significantno p-value reported

In summary, in terms of SSA, lifestyles significantly affect the community compositions of Chinese gut microbiomes across species, genus, and family levels in all 7 ethnic groups (100%), except for the phylum level where the lifestyle effects are limited or partially significant (28%) in Tibetan and Mongolians but not significant in other 4 ethnic groups, and possibly significant in the Bai ethnic group.

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on the boundary of significanceno p-value reported

The Bai ethnic group with P = 0.057 is on the boundary of significance and needs further investigation regarding the effects of lifestyles.

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marginally significantno p-value reported

The effects of lifestyle were most conspicuous within the Mongol and Zhuang ethnic groups, while this impact was marginally significant in the Tibetan cohorts, and the Uyghur and Kazakh showed the smallest lifestyle-associated distances (Zhang et al., 2015 ).

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Quoted from the open-access full text in Europe PMC under the licence the publisher applied. The sentence is reproduced exactly as published; the emphasis is ours.