Dataset Information

Longitudinal 16S rRNA gut microbiota data of infant triplets show partial susceptibility to host genetics.

ABSTRACT: The question of whether host genetics plays a role in the development of the infant gut microbiota does not, as yet, have a clear answer. In order to throw additional light on this question, we have analyzed 16S rRNA amplicon sequences from 99 valid fecal samples of five sets of dichorionic triplet babies born by C-section from 1 to 36 months of age. Beta diversity analysis showed that monozygotic twins were more similar to each other than their dizygotic siblings. Monozygotic twins also tended to share more amplicon sequence variants between them. Heritability analysis showed that the genera Bacteroides and Veillonella are particularly susceptible to host genetics. We conclude that infant gut microbiota development is influenced by host genetics, but this effect is subtle and may affect only certain bacterial taxa during a limited time period early in life.

SUBMITTER: Palmeira O

PROVIDER: S-EPMC8850664 | biostudies-literature | 2022 Mar

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Longitudinal 16S rRNA gut microbiota data of infant triplets show partial susceptibility to host genetics.

Palmeira Ondina O Matos Larissa R B LRB Naslavsky Michel S MS Bueno Heloisa M S HMS Soler Júlia P JP Setubal João C JC Zatz Mayana M

iScience 20220202 3

The question of whether host genetics plays a role in the development of the infant gut microbiota does not, as yet, have a clear answer. In order to throw additional light on this question, we have analyzed 16S rRNA amplicon sequences from 99 valid fecal samples of five sets of dichorionic triplet babies born by C-section from 1 to 36 months of age. Beta diversity analysis showed that monozygotic twins were more similar to each other than their dizygotic siblings. Monozygotic twins also tended ...[more]

PMID: 35198912

Similar Datasets

Project description:Nonalcoholic fatty liver disease (NAFLD) is a prevalent and progressive disease spectrum ranging from nonalcoholic fatty liver (NAFL) to nonalcoholic steatohepatitis (NASH), yet there is no effective treatment and efficient noninvasive diagnostic method for NASH. The present study investigated the longitudinal alternations of gut microbiota in the Western diet (WD) induced murine NAFLD model using 16S rRNA sequencing. Evident steatosis and inflammation were detected in the liver at the 8th and 12th week, while prompted hepatic oxidative injury and fibrosis were found at the 16th week. In this progressive process, impaired bile acid (BA) metabolism plays a vital part. Long-term WD intervention alters microbial richness and composition in the intestine, shaping characteristic microbial feature correspondence to each NAFLD stage. Descending abundances of Clostridia and Ruminococcaceae were found in NAFLD progression, while inflammation-related microbes [Eubacterium]_fissicatena_group, Romboutsia, and Erysipelatoclostridium were verified to identify borderline NASH at 8th and 12th week, and BA-associated taxa Dubosiella, Bosea, Helicobacter, and Alistipes were recognized as special symbols reflecting the state of oxidative damage and fibrosis in NASH at 16th week. Further, feces and colon abundances of Akkermansia were verified to be depleted in the process of borderline NASH progressed to NASH, and exhibited substantial correlations with NAFLD indexes ALT, AST, TC, and TBA. These characteristic taxa were effective to identify NAFLD and NASH, and microbiota-derived predictive models for NAFLD and NASH exhibited great potential (AUC 0.983 and 0.784). These findings demonstrate that a core set of gut microbiome especially BA-related taxa may be adopted as a noninvasive diagnostic tool for NAFLD and NASH. IMPORTANCE This study concentrates on longitudinal alternations of gut microbiota in NAFLD progression and discovers the interrelationships between them. These findings may uncover the role of gut microbiota in NAFLD progression and identify novel noninvasive diagnostic tools for NAFLD based on microbial biomarkers.

Dataset Information

Longitudinal 16S rRNA gut microbiota data of infant triplets show partial susceptibility to host genetics.

Publications

Longitudinal 16S rRNA gut microbiota data of infant triplets show partial susceptibility to host genetics.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets