Literature DB >> 16701519

Subdoligranulum variabile gen. nov., sp. nov. from human feces.

Kim Holmstrøm1, Matthew D Collins, Trine Møller, Enevold Falsen, Paul A Lawson.   

Abstract

During studies on the microflora of human feces we have isolated a strictly anaerobic, non-spore-forming, Gram-negative staining organism which exhibits a somewhat variable coccus-shaped morphology. Comparative 16S ribosomal RNA gene sequencing studies show the unidentified organism is phylogenetically a member of the Clostridium leptum supra-generic rRNA cluster and displays a close affinity to some rDNA clones derived from human and pig feces. The nearest named relatives of the unidentified isolate corresponded to Faecalibacterium prausnitzii (formerly Fusobacterium prausnitzii) displaying a 16S rRNA sequence divergence of approximately 9%, with Anaerofilum agile and A. pentosovorans the next closest relatives of the unidentified bacterium (sequence divergence approximately 10%). Based on phenotypic and phylogenetic considerations, it is proposed that the unusual coccoid-shaped organism be classified as a new genus and species, Subdoligranulum variabile. The type strain of S. variabile is BI 114(T) (=CCUG 47106(T)=DSM 15176(T)).

Entities:  

Year:  2004        PMID: 16701519     DOI: 10.1016/j.anaerobe.2004.01.004

Source DB:  PubMed          Journal:  Anaerobe        ISSN: 1075-9964            Impact factor:   3.331


  38 in total

1.  Molecular profiling of the Clostridium leptum subgroup in human fecal microflora by PCR-denaturing gradient gel electrophoresis and clone library analysis.

Authors:  Jian Shen; Baorang Zhang; Guifang Wei; Xiaoyan Pang; Hua Wei; Min Li; Yan Zhang; Wei Jia; Liping Zhao
Journal:  Appl Environ Microbiol       Date:  2006-08       Impact factor: 4.792

2.  Characterization of the fecal microbiome from non-human wild primates reveals species specific microbial communities.

Authors:  Suleyman Yildirim; Carl J Yeoman; Maksim Sipos; Manolito Torralba; Brenda A Wilson; Tony L Goldberg; Rebecca M Stumpf; Steven R Leigh; Bryan A White; Karen E Nelson
Journal:  PLoS One       Date:  2010-11-12       Impact factor: 3.240

3.  Proposal of a health gut microbiome index based on a meta-analysis of Korean and global population datasets.

Authors:  Hyun-Seok Oh; Uigi Min; Hyejin Jang; Namil Kim; Jeongmin Lim; Mauricio Chalita; Jongsik Chun
Journal:  J Microbiol       Date:  2022-03-31       Impact factor: 3.422

4.  Comparative study of the function and structure of the gut microbiota in Siberian musk deer and Forest musk deer.

Authors:  Rina Su; Menggen Dalai; Batkhuu Luvsantseren; Chimedragchaa Chimedtseren; Surong Hasi
Journal:  Appl Microbiol Biotechnol       Date:  2022-09-14       Impact factor: 5.560

5.  Interpretable and accurate prediction models for metagenomics data.

Authors:  Edi Prifti; Yann Chevaleyre; Blaise Hanczar; Eugeni Belda; Antoine Danchin; Karine Clément; Jean-Daniel Zucker
Journal:  Gigascience       Date:  2020-03-01       Impact factor: 6.524

6.  Sharing a β-Glucan Meal: Transcriptomic Eavesdropping on a Bacteroides ovatus-Subdoligranulum variabile-Hungatella hathewayi Consortium.

Authors:  Manuela Centanni; Ian M Sims; Tracey J Bell; Ambarish Biswas; Gerald W Tannock
Journal:  Appl Environ Microbiol       Date:  2020-10-01       Impact factor: 4.792

7.  Dysbiosis of the gut microbiome is a risk factor for osteoarthritis in older female adults: a case control study.

Authors:  Juanjuan Chen; Anqi Wang; Qi Wang
Journal:  BMC Bioinformatics       Date:  2021-06-03       Impact factor: 3.169

8.  Modulations of the chicken cecal microbiome and metagenome in response to anticoccidial and growth promoter treatment.

Authors:  Jessica L Danzeisen; Hyeun Bum Kim; Richard E Isaacson; Zheng Jin Tu; Timothy J Johnson
Journal:  PLoS One       Date:  2011-11-16       Impact factor: 3.240

Review 9.  Gut Microbiota and Host Metabolism: From Proof of Concept to Therapeutic Intervention.

Authors:  Patrice D Cani; Emilie Moens de Hase; Matthias Van Hul
Journal:  Microorganisms       Date:  2021-06-15

10.  Abundance and short-term temporal variability of fecal microbiota in healthy dogs.

Authors:  Jose F Garcia-Mazcorro; Scot E Dowd; Jeffrey Poulsen; Jörg M Steiner; Jan S Suchodolski
Journal:  Microbiologyopen       Date:  2012-09-03       Impact factor: 3.139

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