MALDI-TOF identification of the human Gut microbiome in people with and without diarrhea in Senegal.

BACKGROUND: In Africa, there are several problems with the specific identification of bacteria. Recently, MALDI-TOF mass spectrometry has become a powerful tool for the routine microbial identification in many clinical laboratories. METHODOLOGY/PRINCIPAL FINDINGS: This study was conducted using fece...

Full description

Bibliographic Details
Main Authors: Bissoume Samb-Ba, Catherine Mazenot, Amy Gassama-Sow, Grégory Dubourg, Hervé Richet, Perrine Hugon, Jean-Christophe Lagier, Didier Raoult, Florence Fenollar
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2014-01-01
Series:PLoS ONE
Online Access:http://europepmc.org/articles/PMC4006720?pdf=render
id doaj-0b7341f738094a99b07a2d1cc7510a3c
record_format Article
spelling doaj-0b7341f738094a99b07a2d1cc7510a3c2020-11-25T01:29:51ZengPublic Library of Science (PLoS)PLoS ONE1932-62032014-01-0195e8741910.1371/journal.pone.0087419MALDI-TOF identification of the human Gut microbiome in people with and without diarrhea in Senegal.Bissoume Samb-BaCatherine MazenotAmy Gassama-SowGrégory DubourgHervé RichetPerrine HugonJean-Christophe LagierDidier RaoultFlorence FenollarBACKGROUND: In Africa, there are several problems with the specific identification of bacteria. Recently, MALDI-TOF mass spectrometry has become a powerful tool for the routine microbial identification in many clinical laboratories. METHODOLOGY/PRINCIPAL FINDINGS: This study was conducted using feces from 347 individuals (162 with diarrhea and 185 without diarrhea) sampled in health centers in Dakar, Senegal. Feces were transported from Dakar to Marseille, France, where they were cultured using different culture conditions. The isolated colonies were identified using MALDI-TOF. If a colony was unidentified, 16S rRNA sequencing was performed. Overall, 2,753 isolates were tested, allowing for the identification of 189 bacteria from 5 phyla, including 2 previously unknown species, 11 species not previously reported in the human gut, 10 species not previously reported in humans, and 3 fungi. 2,718 bacterial isolates (98.8%) out of 2,750 yielded an accurate identification using mass spectrometry, as did the 3 Candida albicans isolates. Thirty-two bacterial isolates not identified by MALDI-TOF (1.2%) were identified by sequencing, allowing for the identification of 2 new species. The number of bacterial species per fecal sample was significantly higher among patients without diarrhea (8.6±3) than in those with diarrhea (7.3±3.4; P = 0.0003). A modification of the gut microbiota was observed between the two groups. In individuals with diarrhea, major commensal bacterial species such as E. coli were significantly decreased (85% versus 64%), as were several Enterococcus spp. (E. faecium and E. casseliflavus) and anaerobes, such as Bacteroides spp. (B. uniformis and B. vulgatus) and Clostridium spp. (C. bifermentans, C. orbiscindens, C. perfringens, and C. symbosium). Conversely, several Bacillus spp. (B. licheniformis, B. mojavensis, and B. pumilus) were significantly more frequent among patients with diarrhea. CONCLUSIONS/SIGNIFICANCE: MALDI-TOF is a potentially powerful tool for routine bacterial identification in Africa, allowing for a quick identification of bacterial species.http://europepmc.org/articles/PMC4006720?pdf=render
collection DOAJ
language English
format Article
sources DOAJ
author Bissoume Samb-Ba
Catherine Mazenot
Amy Gassama-Sow
Grégory Dubourg
Hervé Richet
Perrine Hugon
Jean-Christophe Lagier
Didier Raoult
Florence Fenollar
spellingShingle Bissoume Samb-Ba
Catherine Mazenot
Amy Gassama-Sow
Grégory Dubourg
Hervé Richet
Perrine Hugon
Jean-Christophe Lagier
Didier Raoult
Florence Fenollar
MALDI-TOF identification of the human Gut microbiome in people with and without diarrhea in Senegal.
PLoS ONE
author_facet Bissoume Samb-Ba
Catherine Mazenot
Amy Gassama-Sow
Grégory Dubourg
Hervé Richet
Perrine Hugon
Jean-Christophe Lagier
Didier Raoult
Florence Fenollar
author_sort Bissoume Samb-Ba
title MALDI-TOF identification of the human Gut microbiome in people with and without diarrhea in Senegal.
title_short MALDI-TOF identification of the human Gut microbiome in people with and without diarrhea in Senegal.
title_full MALDI-TOF identification of the human Gut microbiome in people with and without diarrhea in Senegal.
title_fullStr MALDI-TOF identification of the human Gut microbiome in people with and without diarrhea in Senegal.
title_full_unstemmed MALDI-TOF identification of the human Gut microbiome in people with and without diarrhea in Senegal.
title_sort maldi-tof identification of the human gut microbiome in people with and without diarrhea in senegal.
publisher Public Library of Science (PLoS)
series PLoS ONE
issn 1932-6203
publishDate 2014-01-01
description BACKGROUND: In Africa, there are several problems with the specific identification of bacteria. Recently, MALDI-TOF mass spectrometry has become a powerful tool for the routine microbial identification in many clinical laboratories. METHODOLOGY/PRINCIPAL FINDINGS: This study was conducted using feces from 347 individuals (162 with diarrhea and 185 without diarrhea) sampled in health centers in Dakar, Senegal. Feces were transported from Dakar to Marseille, France, where they were cultured using different culture conditions. The isolated colonies were identified using MALDI-TOF. If a colony was unidentified, 16S rRNA sequencing was performed. Overall, 2,753 isolates were tested, allowing for the identification of 189 bacteria from 5 phyla, including 2 previously unknown species, 11 species not previously reported in the human gut, 10 species not previously reported in humans, and 3 fungi. 2,718 bacterial isolates (98.8%) out of 2,750 yielded an accurate identification using mass spectrometry, as did the 3 Candida albicans isolates. Thirty-two bacterial isolates not identified by MALDI-TOF (1.2%) were identified by sequencing, allowing for the identification of 2 new species. The number of bacterial species per fecal sample was significantly higher among patients without diarrhea (8.6±3) than in those with diarrhea (7.3±3.4; P = 0.0003). A modification of the gut microbiota was observed between the two groups. In individuals with diarrhea, major commensal bacterial species such as E. coli were significantly decreased (85% versus 64%), as were several Enterococcus spp. (E. faecium and E. casseliflavus) and anaerobes, such as Bacteroides spp. (B. uniformis and B. vulgatus) and Clostridium spp. (C. bifermentans, C. orbiscindens, C. perfringens, and C. symbosium). Conversely, several Bacillus spp. (B. licheniformis, B. mojavensis, and B. pumilus) were significantly more frequent among patients with diarrhea. CONCLUSIONS/SIGNIFICANCE: MALDI-TOF is a potentially powerful tool for routine bacterial identification in Africa, allowing for a quick identification of bacterial species.
url http://europepmc.org/articles/PMC4006720?pdf=render
work_keys_str_mv AT bissoumesambba malditofidentificationofthehumangutmicrobiomeinpeoplewithandwithoutdiarrheainsenegal
AT catherinemazenot malditofidentificationofthehumangutmicrobiomeinpeoplewithandwithoutdiarrheainsenegal
AT amygassamasow malditofidentificationofthehumangutmicrobiomeinpeoplewithandwithoutdiarrheainsenegal
AT gregorydubourg malditofidentificationofthehumangutmicrobiomeinpeoplewithandwithoutdiarrheainsenegal
AT herverichet malditofidentificationofthehumangutmicrobiomeinpeoplewithandwithoutdiarrheainsenegal
AT perrinehugon malditofidentificationofthehumangutmicrobiomeinpeoplewithandwithoutdiarrheainsenegal
AT jeanchristophelagier malditofidentificationofthehumangutmicrobiomeinpeoplewithandwithoutdiarrheainsenegal
AT didierraoult malditofidentificationofthehumangutmicrobiomeinpeoplewithandwithoutdiarrheainsenegal
AT florencefenollar malditofidentificationofthehumangutmicrobiomeinpeoplewithandwithoutdiarrheainsenegal
_version_ 1725094264070733824