16S rRNA and metagenomic shotgun sequencing data revealed consistent patterns of gut microbiome signature in pediatric ulcerative colitis

Author:

Zuo Wenxuan,Wang Beibei,Bai Xin,Luan Yihui,Fan YingyingORCID,Michail SoniaORCID,Sun FengzhuORCID

Abstract

AbstractDysbiosis of human gut microbiota has been reported in association with ulcerative colitis (UC) in both children and adults using either 16S rRNA gene or shotgun sequencing data. However, these studies used either 16S rRNA or metagenomic shotgun sequencing but not both. We sequenced feces samples from 19 pediatric UC and 23 healthy children ages between 7 to 21 years using both 16S rRNA and metagenomic shotgun sequencing. The samples were analyzed using three different types of data: 16S rRNA genus level abundance, microbial species and pathway abundance profiles. We demonstrated that (a) the alpha diversity of pediatric UC cases is lower than that of healthy controls; (b) the beta diversity within children with UC is more variable than within the healthy children; (c) several microbial families including Akkermansiaceae, Clostridiaceae, Eggerthellaceae, Lachnospiraceae, and Oscillospiraceae, contain species that are depleted in pediatric UC compared to controls; (d) a few associated species unique to pediatric UC, but not adult UC, were also identified, e.g. some species in the Christensenellaceae family were found to be depleted and some species in the Enterobacteriaceae family were found to be enriched in pediatric UC; and (e) both 16S rRNA and shotgun sequencing data can predict pediatric UC status with area under the receiver operating characteristic curve (AUROC) of close to 0.90 based on cross validation. We showed that 16S rRNA data yielded similar results as shotgun data in terms of alpha diversity, beta diversity, and prediction accuracy. Our study demonstrated that pediatric UC subjects harbor a dysbiotic and less diverse gut microbial population with distinct differences from healthy children. We also showed that 16S rRNA data yielded accurate disease prediction results in comparison to shotgun data, which can be more expensive and laborious. These conclusions were confirmed in an independent data set of 7 pediatric UC cases and 8 controls.

Funder

National Science Foundation of China

National Key R&D Program of China

National Institutes of Health

Publisher

Springer Science and Business Media LLC

Subject

Multidisciplinary

Reference49 articles.

1. Alam, Mohammad Tauqeer et al. Microbial imbalance in inflammatory bowel disease patients at different taxonomic levels. Gut Pathogens 12(1), 1–8 (2020).

2. Anderson, Marti J. A new method for non-parametric multivariate analysis of variance. Aust. Ecol. 26(1), 32–46 (2001).

3. Aschard, Hugues et al. Genetic effects on the commensal microbiota in inflammatory bowel disease patients. PLoS Genet. 15(3), e1008018 (2019).

4. Benjamini, Yoav & Hochberg, Yosef. Controlling the false discovery rate: a practical and powerful approach to multiple testing. J. Roy. Stat. Soc.: Ser. B (Methodol.) 57(1), 289–300 (1995).

5. Bokulich, Nicholas A. et al. Optimizing taxonomic classification of marker-gene amplicon sequences with qiime 2’s q2-feature-classifier plugin. Microbiome 6(1), 1–17 (2018).

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