Literature DB >> 28260999

Gut Microbiota Analysis Results Are Highly Dependent on the 16S rRNA Gene Target Region, Whereas the Impact of DNA Extraction Is Minor.

Anniina Rintala1, Sami Pietilä2, Eveliina Munukka1, Erkki Eerola1, Juha-Pekka Pursiheimo3, Asta Laiho2, Satu Pekkala4, Pentti Huovinen5.   

Abstract

Next-generation sequencing (NGS) is currently the method of choice for analyzing gut microbiota composition. As gut microbiota composition is a potential future target for clinical diagnostics, it is of utmost importance to enhance and optimize the NGS analysis procedures. Here, we have analyzed the impact of DNA extraction and selected 16S rDNA primers on the gut microbiota NGS results. Bacterial DNA from frozen stool specimens was extracted with 5 commercially available DNA extraction kits. Special attention was paid to the semiautomated DNA extraction methods that could expedite the analysis procedure, thus being especially suitable for clinical settings. The microbial composition was analyzed with 2 distinct protocols: 1 targeting the V3-V4 and the other targeting the V4-V5 area of the bacterial 16S rRNA gene. The overall effect of DNA extraction on the gut microbiota 16S rDNA profile was relatively small, whereas the 16S rRNA gene target region had an immense impact on the results. Furthermore, semiautomated DNA extraction methods clearly appeared suitable for NGS procedures, proposing that application of these methods could importantly reduce hands-on time and human errors without compromising the validity of results.

Entities:  

Keywords:  fecal samples; microbial diversity; next-generation sequencing; sample preprocessing

Mesh:

Substances:

Year:  2017        PMID: 28260999      PMCID: PMC5330390          DOI: 10.7171/jbt.17-2801-003

Source DB:  PubMed          Journal:  J Biomol Tech        ISSN: 1524-0215


  43 in total

Review 1.  The Intestinal Microbiota in Inflammatory Bowel Disease.

Authors:  Christoph Becker; Markus F Neurath; Stefan Wirtz
Journal:  ILAR J       Date:  2015

2.  Greengenes, a chimera-checked 16S rRNA gene database and workbench compatible with ARB.

Authors:  T Z DeSantis; P Hugenholtz; N Larsen; M Rojas; E L Brodie; K Keller; T Huber; D Dalevi; P Hu; G L Andersen
Journal:  Appl Environ Microbiol       Date:  2006-07       Impact factor: 4.792

Review 3.  A renaissance for the pioneering 16S rRNA gene.

Authors:  Susannah G Tringe; Philip Hugenholtz
Journal:  Curr Opin Microbiol       Date:  2008-10-08       Impact factor: 7.934

4.  The gut microbiota as an environmental factor that regulates fat storage.

Authors:  Fredrik Bäckhed; Hao Ding; Ting Wang; Lora V Hooper; Gou Young Koh; Andras Nagy; Clay F Semenkovich; Jeffrey I Gordon
Journal:  Proc Natl Acad Sci U S A       Date:  2004-10-25       Impact factor: 11.205

5.  The currently used commercial DNA-extraction methods give different results of clostridial and actinobacterial populations derived from human fecal samples.

Authors:  Johanna Maukonen; Catarina Simões; Maria Saarela
Journal:  FEMS Microbiol Ecol       Date:  2011-12-13       Impact factor: 4.194

6.  Comparison of DNA extraction kits for PCR-DGGE analysis of human intestinal microbial communities from fecal specimens.

Authors:  Merlin W Ariefdjohan; Dennis A Savaiano; Cindy H Nakatsu
Journal:  Nutr J       Date:  2010-05-22       Impact factor: 3.271

Review 7.  Microbial community profiling for human microbiome projects: Tools, techniques, and challenges.

Authors:  Micah Hamady; Rob Knight
Journal:  Genome Res       Date:  2009-04-21       Impact factor: 9.043

8.  Bacterial community variation in human body habitats across space and time.

Authors:  Elizabeth K Costello; Christian L Lauber; Micah Hamady; Noah Fierer; Jeffrey I Gordon; Rob Knight
Journal:  Science       Date:  2009-11-05       Impact factor: 47.728

9.  Evaluation of general 16S ribosomal RNA gene PCR primers for classical and next-generation sequencing-based diversity studies.

Authors:  Anna Klindworth; Elmar Pruesse; Timmy Schweer; Jörg Peplies; Christian Quast; Matthias Horn; Frank Oliver Glöckner
Journal:  Nucleic Acids Res       Date:  2012-08-28       Impact factor: 16.971

Review 10.  Metagenomic surveys of gut microbiota.

Authors:  Rahul Shubhra Mandal; Sudipto Saha; Santasabuj Das
Journal:  Genomics Proteomics Bioinformatics       Date:  2015-07-13       Impact factor: 7.691

View more
  50 in total

Review 1.  Progress of analytical tools and techniques for human gut microbiome research.

Authors:  Eun-Ji Song; Eun-Sook Lee; Young-Do Nam
Journal:  J Microbiol       Date:  2018-09-28       Impact factor: 3.422

2.  Structural and Functional Analysis of the Gut Microbiome for Toxicologists.

Authors:  Robert G Nichols; Jingwei Cai; Iain A Murray; Imhoi Koo; Philip B Smith; Gary H Perdew; Andrew D Patterson
Journal:  Curr Protoc Toxicol       Date:  2018-09-19

3.  Intrinsic aerobic capacity governs the associations between gut microbiota composition and fat metabolism age-dependently in rat siblings.

Authors:  Satu Pekkala; Sanna Lensu; Miriam Nokia; Sanja Vanhatalo; Lauren G Koch; Steven L Britton; Heikki Kainulainen
Journal:  Physiol Genomics       Date:  2017-10-13       Impact factor: 3.107

4.  Organelle 16S rRNA amplicon sequencing enables profiling of active gut microbiota in murine model.

Authors:  Dong Han; Hongmin Zhen; Xiaoyan Liu; Justyna Zulewska; Zhennai Yang
Journal:  Appl Microbiol Biotechnol       Date:  2022-07-28       Impact factor: 5.560

5.  Phylogenies of the 16S rRNA gene and its hypervariable regions lack concordance with core genome phylogenies.

Authors:  Hayley B Hassler; Brett Probert; Carson Moore; Elizabeth Lawson; Richard W Jackson; Brook T Russell; Vincent P Richards
Journal:  Microbiome       Date:  2022-07-08       Impact factor: 16.837

6.  Alcohol use alters the colonic mucosa-associated gut microbiota in humans.

Authors:  Shawn Gurwara; Annie Dai; Nadim J Ajami; David Y Graham; Donna L White; Liang Chen; Albert Jang; Ellie Chen; Hashem B El-Serag; Joseph F Petrosino; Li Jiao
Journal:  Nutr Res       Date:  2020-09-17       Impact factor: 3.315

Review 7.  Effects of dietary restriction on gut microbiota and CNS autoimmunity.

Authors:  Claudia Cantoni; Yair Dorsett; Luigi Fontana; Yanjiao Zhou; Laura Piccio
Journal:  Clin Immunol       Date:  2020-08-18       Impact factor: 3.969

8.  Choice of 16S ribosomal RNA primers affects the microbiome analysis in chicken ceca.

Authors:  Nadia Darwish; Jonathan Shao; Lori L Schreier; Monika Proszkowiec-Weglarz
Journal:  Sci Rep       Date:  2021-06-04       Impact factor: 4.996

9.  F5Evaluation of commercially available DNA extraction kits for the analysis of the broiler chicken cecal microbiota.

Authors:  Helga Pankoke; Irena Maus; Gunnar Loh; Andrea Hüser; Jana Seifert; Alexandra Tilker; Sarah Hark; Alexander Sczyrba; Stefan Pelzer; Jessica Kleinbölting
Journal:  FEMS Microbiol Lett       Date:  2019-03-27       Impact factor: 2.742

10.  Core of the saliva microbiome: an analysis of the MG-RAST data.

Authors:  Simone G Oliveira; Rodrigo Jardim; Rafaela R Nishiyama; Claudio A C Trigo; Ana Luiza Mattos-Guaraldi; Alberto M R Dávila; Flavio H B Aguiar
Journal:  BMC Oral Health       Date:  2021-07-16       Impact factor: 2.757

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.