Literature DB >> 35186653

Impact of dietary fructooligosaccharides (FOS) on murine gut microbiota and intestinal IgA secretion.

Aditi Jangid1, Shinji Fukuda2,3,4, Tamotsu Kato5,6, Masahide Seki7, Yutaka Suzuki7, Todd D Taylor8, Hiroshi Ohno4,5,6, Tulika Prakash1,8.   

Abstract

Fructooligosaccharides (FOS) are considered as prebiotics and are well known for their health-promoting properties, including antitumor, allergy-preventive, and infection-protective effects. They exert these effects by modulating the gut microbial composition and dynamics. In the present study, we performed a comparative whole metagenome shotgun sequencing analysis (WMGS) to elucidate the gut microbiota and secretary Immunoglobulin A (SIgA) dynamics as a result of 5% (w/w) FOS supplementation over a period of 7 days (fecal samples were collected every day). A number of taxa including Bacteroides, Lactobacillus, Roseburia, Clostridia, Faecalibaculum, and Enterorhabdus were found to be modulated with SIgA production in the murine gut. The process of SIgA production from FOS metabolization was found to be carried out via the production of short-chain fatty acids in the gut. Species of Bacteroides and Roseburia; namely, B. caccae, B. finegoldii, B. ovatus, B. thetaiotamicron, and Roseburia intestinalis, respectively, are predominantly responsible for FOS metabolization in the murine gut. The abundances of these bacterial species and their corresponding functions involved in FOS metabolization decreased over time even though these prebiotics were administered continuously for seven days. This suggests that there is a decrease in FOS metabolization over time. In addition, the present analysis suggests that the administration of FOS may help to reduce the pathogenic bacteria from the gut via SIgA production. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s13205-022-03116-3. © King Abdulaziz City for Science and Technology 2022.

Entities:  

Keywords:  FOS; Immunoglobulin A; Metagenomics; NGS data analysis; Whole metagenome shotgun sequencing

Year:  2022        PMID: 35186653      PMCID: PMC8811108          DOI: 10.1007/s13205-022-03116-3

Source DB:  PubMed          Journal:  3 Biotech        ISSN: 2190-5738            Impact factor:   2.406


  48 in total

1.  Identification of candidate periodontal pathogens and beneficial species by quantitative 16S clonal analysis.

Authors:  Purnima S Kumar; Ann L Griffen; Melvin L Moeschberger; Eugene J Leys
Journal:  J Clin Microbiol       Date:  2005-08       Impact factor: 5.948

2.  Fructooligosaccharides exert intestinal anti-inflammatory activity in the CD4+ CD62L+ T cell transfer model of colitis in C57BL/6J mice.

Authors:  Fermín Capitán-Cañadas; Borja Ocón; Carlos José Aranda; Andrea Anzola; María Dolores Suárez; Antonio Zarzuelo; Fermín Sánchez de Medina; Olga Martínez-Augustin
Journal:  Eur J Nutr       Date:  2015-07-08       Impact factor: 5.614

Review 3.  The microbiology of butyrate formation in the human colon.

Authors:  Susan E Pryde; Sylvia H Duncan; Georgina L Hold; Colin S Stewart; Harry J Flint
Journal:  FEMS Microbiol Lett       Date:  2002-12-17       Impact factor: 2.742

4.  Fast gapped-read alignment with Bowtie 2.

Authors:  Ben Langmead; Steven L Salzberg
Journal:  Nat Methods       Date:  2012-03-04       Impact factor: 28.547

5.  STAMP: statistical analysis of taxonomic and functional profiles.

Authors:  Donovan H Parks; Gene W Tyson; Philip Hugenholtz; Robert G Beiko
Journal:  Bioinformatics       Date:  2014-07-23       Impact factor: 6.937

6.  The epithelia-specific membrane trafficking factor AP-1B controls gut immune homeostasis in mice.

Authors:  Daisuke Takahashi; Koji Hase; Shunsuke Kimura; Fubito Nakatsu; Masumi Ohmae; Yasushi Mandai; Toru Sato; Yasuhiro Date; Masashi Ebisawa; Tamotsu Kato; Yuuki Obata; Shinji Fukuda; Yuki I Kawamura; Taeko Dohi; Tatsuro Katsuno; Osamu Yokosuka; Satoshi Waguri; Hiroshi Ohno
Journal:  Gastroenterology       Date:  2011-05-05       Impact factor: 22.682

7.  Quality control and preprocessing of metagenomic datasets.

Authors:  Robert Schmieder; Robert Edwards
Journal:  Bioinformatics       Date:  2011-01-28       Impact factor: 6.937

8.  Revealing the bacterial butyrate synthesis pathways by analyzing (meta)genomic data.

Authors:  Marius Vital; Adina Chuang Howe; James M Tiedje
Journal:  MBio       Date:  2014-04-22       Impact factor: 7.867

9.  Calypso: a user-friendly web-server for mining and visualizing microbiome-environment interactions.

Authors:  Martha Zakrzewski; Carla Proietti; Jonathan J Ellis; Shihab Hasan; Marie-Jo Brion; Bernard Berger; Lutz Krause
Journal:  Bioinformatics       Date:  2017-03-01       Impact factor: 6.937

10.  Synbiotic-driven improvement of metabolic disturbances is associated with changes in the gut microbiome in diet-induced obese mice.

Authors:  Xinxin Ke; Alesia Walker; Sven-Bastiaan Haange; Ilias Lagkouvardos; Yuwen Liu; Philippe Schmitt-Kopplin; Martin von Bergen; Nico Jehmlich; Xin He; Thomas Clavel; Peter C K Cheung
Journal:  Mol Metab       Date:  2019-02-05       Impact factor: 7.422

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