Literature DB >> 21431768

Pyrosequencing of chaperonin-60 (cpn60) amplicons as a means of determining microbial community composition.

John Schellenberg1, Matthew G Links, Janet E Hill, Sean M Hemmingsen, Geoffrey A Peters, Tim J Dumonceaux.   

Abstract

The chaperonin-60 universal target (cpn60 UT) is generated from a set of PCR primers and provides a universally conserved, phylogenetically informative sequence signature for determining the composition of microbial communities by DNA sequencing. Pyrosequencing of cpn60 UT amplicons is emerging as a next-generation tool for providing unprecedented sequencing depth and resolution of microbial communities in individual samples. Owing to the increase in sequencing depth, the dynamic range across which the presence and abundance of individual species can be sampled experimentally also increases, significantly improving our ability to investigate microbial community richness and diversity. The flexible format of the pyrosequencing reaction setup combined with the ability to pool samples through the use of multiplexing IDs makes the generation of microbial profiles based on the cpn60 UT both feasible and cost-effective. We describe here the methods we have developed for determining microbial community profiles by pyrosequencing of cpn60 UT amplicons, from generating amplicons to sequencing and data analysis.

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Year:  2011        PMID: 21431768     DOI: 10.1007/978-1-61779-089-8_10

Source DB:  PubMed          Journal:  Methods Mol Biol        ISSN: 1064-3745


  16 in total

1.  A molecular enrichment strategy based on cpn60 for detection of epsilon-proteobacteria in the dog fecal microbiome.

Authors:  Bonnie Chaban; Matthew G Links; Janet E Hill
Journal:  Microb Ecol       Date:  2011-09-01       Impact factor: 4.552

2.  Comparative Genomics of cpn60-Defined Enterococcus hirae Ecotypes and Relationship of Gene Content Differences to Competitive Fitness.

Authors:  Isha Katyal; Bonnie Chaban; Janet E Hill
Journal:  Microb Ecol       Date:  2015-11-14       Impact factor: 4.552

3.  The chaperonin-60 universal target is a barcode for bacteria that enables de novo assembly of metagenomic sequence data.

Authors:  Matthew G Links; Tim J Dumonceaux; Sean M Hemmingsen; Janet E Hill
Journal:  PLoS One       Date:  2012-11-26       Impact factor: 3.240

4.  A Study of the Vaginal Microbiome in Healthy Canadian Women Utilizing cpn60-Based Molecular Profiling Reveals Distinct Gardnerella Subgroup Community State Types.

Authors:  Arianne Y K Albert; Bonnie Chaban; Emily C Wagner; John J Schellenberg; Matthew G Links; Julie van Schalkwyk; Gregor Reid; Sean M Hemmingsen; Janet E Hill; Deborah Money
Journal:  PLoS One       Date:  2015-08-12       Impact factor: 3.240

5.  Optimizing a PCR protocol for cpn60-based microbiome profiling of samples variously contaminated with host genomic DNA.

Authors:  Lisa A Johnson; Bonnie Chaban; John C S Harding; Janet E Hill
Journal:  BMC Res Notes       Date:  2015-06-20

6.  mPUMA: a computational approach to microbiota analysis by de novo assembly of operational taxonomic units based on protein-coding barcode sequences.

Authors:  Matthew G Links; Bonnie Chaban; Sean M Hemmingsen; Kevin Muirhead; Janet E Hill
Journal:  Microbiome       Date:  2013-08-15       Impact factor: 14.650

7.  Characterization of the fecal microbiota of pigs before and after inoculation with "Brachyspira hampsonii".

Authors:  Matheus O Costa; Bonnie Chaban; John C S Harding; Janet E Hill
Journal:  PLoS One       Date:  2014-08-28       Impact factor: 3.240

8.  Resolution and characterization of distinct cpn60-based subgroups of Gardnerella vaginalis in the vaginal microbiota.

Authors:  Teenus Paramel Jayaprakash; John J Schellenberg; Janet E Hill
Journal:  PLoS One       Date:  2012-08-10       Impact factor: 3.240

9.  Characterization of the upper respiratory tract microbiomes of patients with pandemic H1N1 influenza.

Authors:  Bonnie Chaban; Arianne Albert; Matthew G Links; Jennifer Gardy; Patrick Tang; Janet E Hill
Journal:  PLoS One       Date:  2013-07-02       Impact factor: 3.240

10.  The variability of the 16S rRNA gene in bacterial genomes and its consequences for bacterial community analyses.

Authors:  Tomáš Větrovský; Petr Baldrian
Journal:  PLoS One       Date:  2013-02-27       Impact factor: 3.240

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