Literature DB >> 34410649

Strain-Level Profiling of Oral Microbiota with Targeted Sequencing.

Chiranjit Mukherjee1, Eugene J Leys2.   

Abstract

Targeted sequencing of one or more regions of the bacterial 16S rRNA gene fragment has emerged as a gold standard for investigating taxonomic diversity in complex microbial communities, such as those found in the oral cavity. While this approach is useful for identifying bacteria up to genus level, its ability to distinguish between many closely related oral species, or explore strain-level variations within each species, is very limited. Here we present an approach based on targeted sequencing the 16S-23S Intergenic Spacer Region (ISR) in the bacterial ribosomal operon for taxonomic characterization of microbial communities at a subspecies or strain level. This approach retains the advantages of 16S-based methods, such as easy library preparation, high throughput, short amplicon sizes, and low cost of sequencing, while providing subspecies-level resolution as a result of naturally higher genetic diversity present in the ISR compared to the 16S hypervariable regions. These advantages make it an excellent tool for high-resolution oral microbiota characterization.
© 2021. Springer Science+Business Media, LLC, part of Springer Nature.

Entities:  

Keywords:  Amplicon sequencing; Bacteria; DADA2; High resolution; Illumina MiSeq; Microbiome; Strains; Taxonomic assignment

Mesh:

Substances:

Year:  2021        PMID: 34410649     DOI: 10.1007/978-1-0716-1518-8_14

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


  12 in total

Review 1.  The Oral Microbiota in Health and Disease: An Overview of Molecular Findings.

Authors:  José F Siqueira; Isabela N Rôças
Journal:  Methods Mol Biol       Date:  2017

2.  Interpreting 16S metagenomic data without clustering to achieve sub-OTU resolution.

Authors:  Mikhail Tikhonov; Robert W Leach; Ned S Wingreen
Journal:  ISME J       Date:  2014-07-11       Impact factor: 10.302

3.  Identification of Lactobacillus strains of goose origin using MALDI-TOF mass spectrometry and 16S-23S rDNA intergenic spacer PCR analysis.

Authors:  Marta Dec; Renata Urban-Chmiel; Sebastian Gnat; Andrzej Puchalski; Andrzej Wernicki
Journal:  Res Microbiol       Date:  2014-03-05       Impact factor: 3.992

Review 4.  Genotyping of Mycobacterium tuberculosis: application in epidemiologic studies.

Authors:  Midori Kato-Maeda; John Z Metcalfe; Laura Flores
Journal:  Future Microbiol       Date:  2011-02       Impact factor: 3.165

5.  DADA2: High-resolution sample inference from Illumina amplicon data.

Authors:  Benjamin J Callahan; Paul J McMurdie; Michael J Rosen; Andrew W Han; Amy Jo A Johnson; Susan P Holmes
Journal:  Nat Methods       Date:  2016-05-23       Impact factor: 28.547

6.  Exact sequence variants should replace operational taxonomic units in marker-gene data analysis.

Authors:  Benjamin J Callahan; Paul J McMurdie; Susan P Holmes
Journal:  ISME J       Date:  2017-07-21       Impact factor: 10.302

7.  Strains, functions and dynamics in the expanded Human Microbiome Project.

Authors:  Jason Lloyd-Price; Anup Mahurkar; Gholamali Rahnavard; Jonathan Crabtree; Joshua Orvis; A Brantley Hall; Arthur Brady; Heather H Creasy; Carrie McCracken; Michelle G Giglio; Daniel McDonald; Eric A Franzosa; Rob Knight; Owen White; Curtis Huttenhower
Journal:  Nature       Date:  2017-09-20       Impact factor: 49.962

8.  Genomic variation landscape of the human gut microbiome.

Authors:  Siegfried Schloissnig; Manimozhiyan Arumugam; Shinichi Sunagawa; Makedonka Mitreva; Julien Tap; Ana Zhu; Alison Waller; Daniel R Mende; Jens Roat Kultima; John Martin; Karthik Kota; Shamil R Sunyaev; George M Weinstock; Peer Bork
Journal:  Nature       Date:  2012-12-05       Impact factor: 49.962

9.  ConStrains identifies microbial strains in metagenomic datasets.

Authors:  Chengwei Luo; Rob Knight; Heli Siljander; Mikael Knip; Ramnik J Xavier; Dirk Gevers
Journal:  Nat Biotechnol       Date:  2015-09-07       Impact factor: 54.908

10.  High-resolution ISR amplicon sequencing reveals personalized oral microbiome.

Authors:  Chiranjit Mukherjee; Clifford J Beall; Ann L Griffen; Eugene J Leys
Journal:  Microbiome       Date:  2018-09-05       Impact factor: 14.650

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