Literature DB >> 22647042

The adult intestinal core microbiota is determined by analysis depth and health status.

A Salonen1, J Salojärvi, L Lahti, W M de Vos.   

Abstract

High-throughput molecular methods are currently exploited to characterize the complex and highly individual intestinal microbiota in health and disease. Definition of the human intestinal core microbiota, i.e. the number and the identity of bacteria that are shared among different individuals, is currently one of the main research questions. Here we apply a high-throughput phylogenetic microarray, for a comprehensive and high-resolution microbiota analysis, and a novel computational approach in a quantitative study of the core microbiota in over 100 individuals. In the approach presented we study how the criteria for the phylotype abundance or prevalence influence the resulting core in parallel with biological variables, such as the number and health status of the study subjects. We observed that the core size is highly conditional, mostly depending on the depth of the analysis and the required prevalence of the core taxa. Moreover, the core size is also affected by biological variables, of which the health status had a larger impact than the number of studied subjects. We also introduce a computational method that estimates the expected size of the core, given the varying prevalence and abundance criteria. The approach is directly applicable to sequencing data derived from intestinal and other host-associated microbial communities, and can be modified to include more informative definitions of core microbiota. Hence, we anticipate its utilization will facilitate the conceptual definition of the core microbiota and its consequent characterization so that future studies yield conclusive views on the intestinal core microbiota, eliminating the current controversy.
© 2012 The Authors. Clinical Microbiology and Infection © 2012 European Society of Clinical Microbiology and Infectious Diseases.

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Mesh:

Year:  2012        PMID: 22647042     DOI: 10.1111/j.1469-0691.2012.03855.x

Source DB:  PubMed          Journal:  Clin Microbiol Infect        ISSN: 1198-743X            Impact factor:   8.067


  33 in total

1.  Microbiota conservation and BMI signatures in adult monozygotic twins.

Authors:  Sebastian Tims; Catherine Derom; Daisy M Jonkers; Robert Vlietinck; Wim H Saris; Michiel Kleerebezem; Willem M de Vos; Erwin G Zoetendal
Journal:  ISME J       Date:  2012-11-29       Impact factor: 10.302

2.  Deciphering the Bifidobacterial Populations within the Canine and Feline Gut Microbiota.

Authors:  Giulia Alessandri; Christian Milani; Leonardo Mancabelli; Giulia Longhi; Rosaria Anzalone; Gabriele Andrea Lugli; Sabrina Duranti; Francesca Turroni; Maria Cristina Ossiprandi; Douwe van Sinderen; Marco Ventura
Journal:  Appl Environ Microbiol       Date:  2020-03-18       Impact factor: 4.792

3.  Discordant temporal development of bacterial phyla and the emergence of core in the fecal microbiota of young children.

Authors:  Jing Cheng; Tamar Ringel-Kulka; Ineke Heikamp-de Jong; Yehuda Ringel; Ian Carroll; Willem M de Vos; Jarkko Salojärvi; Reetta Satokari
Journal:  ISME J       Date:  2015-10-02       Impact factor: 10.302

4.  Comparative genome analyses of Lactobacillus crispatus isolated from different ecological niches reveal an environmental adaptation of this species to the human vaginal environment.

Authors:  Leonardo Mancabelli; Walter Mancino; Gabriele Andrea Lugli; Christian Milani; Alice Viappiani; Rosaria Anzalone; Giulia Longhi; Douwe van Sinderen; Marco Ventura; Francesca Turroni
Journal:  Appl Environ Microbiol       Date:  2021-02-12       Impact factor: 4.792

Review 5.  Conserved and variable responses of the gut microbiome to resistant starch type 2.

Authors:  Zachary A Bendiks; Knud E B Knudsen; Michael J Keenan; Maria L Marco
Journal:  Nutr Res       Date:  2020-02-22       Impact factor: 3.315

Review 6.  The Use of Defined Microbial Communities To Model Host-Microbe Interactions in the Human Gut.

Authors:  Janneke Elzinga; John van der Oost; Willem M de Vos; Hauke Smidt
Journal:  Microbiol Mol Biol Rev       Date:  2019-03-13       Impact factor: 11.056

7.  The inconstant gut microbiota of Drosophila species revealed by 16S rRNA gene analysis.

Authors:  Adam C-N Wong; John M Chaston; Angela E Douglas
Journal:  ISME J       Date:  2013-05-30       Impact factor: 10.302

Review 8.  Can We Prevent Obesity-Related Metabolic Diseases by Dietary Modulation of the Gut Microbiota?

Authors:  Lena K Brahe; Arne Astrup; Lesli H Larsen
Journal:  Adv Nutr       Date:  2016-01-15       Impact factor: 8.701

9.  A fully scalable online pre-processing algorithm for short oligonucleotide microarray atlases.

Authors:  Leo Lahti; Aurora Torrente; Laura L Elo; Alvis Brazma; Johan Rung
Journal:  Nucleic Acids Res       Date:  2013-04-05       Impact factor: 16.971

10.  Associations between the human intestinal microbiota, Lactobacillus rhamnosus GG and serum lipids indicated by integrated analysis of high-throughput profiling data.

Authors:  Leo Lahti; Anne Salonen; Riina A Kekkonen; Jarkko Salojärvi; Jonna Jalanka-Tuovinen; Airi Palva; Matej Orešič; Willem M de Vos
Journal:  PeerJ       Date:  2013-02-26       Impact factor: 2.984

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