Cargando…
16S rRNA gene-based profiling of the human infant gut microbiota is strongly influenced by sample processing and PCR primer choice
BACKGROUND: Characterisation of the bacterial composition of the gut microbiota is increasingly carried out with a view to establish the role of different bacterial species in causation or prevention of disease. It is thus essential that the methods used to determine the microbial composition are ro...
Autores principales: | , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2015
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4482049/ https://www.ncbi.nlm.nih.gov/pubmed/26120470 http://dx.doi.org/10.1186/s40168-015-0087-4 |
_version_ | 1782378375476674560 |
---|---|
author | Walker, Alan W. Martin, Jennifer C. Scott, Paul Parkhill, Julian Flint, Harry J. Scott, Karen P. |
author_facet | Walker, Alan W. Martin, Jennifer C. Scott, Paul Parkhill, Julian Flint, Harry J. Scott, Karen P. |
author_sort | Walker, Alan W. |
collection | PubMed |
description | BACKGROUND: Characterisation of the bacterial composition of the gut microbiota is increasingly carried out with a view to establish the role of different bacterial species in causation or prevention of disease. It is thus essential that the methods used to determine the microbial composition are robust. Here, several widely used molecular techniques were compared to establish the optimal methods to assess the bacterial composition in faecal samples from babies, before weaning. RESULTS: The bacterial community profile detected in the faeces of infants is highly dependent on the methodology used. Bifidobacteria were the most abundant bacteria detected at 6 weeks in faeces from two initially breast-fed babies using fluorescent in situ hybridisation (FISH), in agreement with data from previous culture-based studies. Using the 16S rRNA gene sequencing approach, however, we found that the detection of bifidobacteria in particular crucially depended on the optimisation of the DNA extraction method, and the choice of primers used to amplify the V1–V3 regions of 16S rRNA genes prior to subsequent sequence analysis. Bifidobacteria were only well represented among amplified 16S rRNA gene sequences when mechanical disruption (bead-beating) procedures for DNA extraction were employed together with optimised “universal” PCR primers. These primers incorporate degenerate bases at positions where mismatches to bifidobacteria and other bacterial taxa occur. The use of a DNA extraction kit with no bead-beating step resulted in a complete absence of bifidobacteria in the sequence data, even when using the optimised primers. CONCLUSIONS: This work emphasises the importance of sample processing methodology to downstream sequencing results and illustrates the value of employing multiple approaches for determining microbiota composition. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s40168-015-0087-4) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-4482049 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-44820492015-06-27 16S rRNA gene-based profiling of the human infant gut microbiota is strongly influenced by sample processing and PCR primer choice Walker, Alan W. Martin, Jennifer C. Scott, Paul Parkhill, Julian Flint, Harry J. Scott, Karen P. Microbiome Research BACKGROUND: Characterisation of the bacterial composition of the gut microbiota is increasingly carried out with a view to establish the role of different bacterial species in causation or prevention of disease. It is thus essential that the methods used to determine the microbial composition are robust. Here, several widely used molecular techniques were compared to establish the optimal methods to assess the bacterial composition in faecal samples from babies, before weaning. RESULTS: The bacterial community profile detected in the faeces of infants is highly dependent on the methodology used. Bifidobacteria were the most abundant bacteria detected at 6 weeks in faeces from two initially breast-fed babies using fluorescent in situ hybridisation (FISH), in agreement with data from previous culture-based studies. Using the 16S rRNA gene sequencing approach, however, we found that the detection of bifidobacteria in particular crucially depended on the optimisation of the DNA extraction method, and the choice of primers used to amplify the V1–V3 regions of 16S rRNA genes prior to subsequent sequence analysis. Bifidobacteria were only well represented among amplified 16S rRNA gene sequences when mechanical disruption (bead-beating) procedures for DNA extraction were employed together with optimised “universal” PCR primers. These primers incorporate degenerate bases at positions where mismatches to bifidobacteria and other bacterial taxa occur. The use of a DNA extraction kit with no bead-beating step resulted in a complete absence of bifidobacteria in the sequence data, even when using the optimised primers. CONCLUSIONS: This work emphasises the importance of sample processing methodology to downstream sequencing results and illustrates the value of employing multiple approaches for determining microbiota composition. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s40168-015-0087-4) contains supplementary material, which is available to authorized users. BioMed Central 2015-06-22 /pmc/articles/PMC4482049/ /pubmed/26120470 http://dx.doi.org/10.1186/s40168-015-0087-4 Text en © Walker et al. 2015 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Walker, Alan W. Martin, Jennifer C. Scott, Paul Parkhill, Julian Flint, Harry J. Scott, Karen P. 16S rRNA gene-based profiling of the human infant gut microbiota is strongly influenced by sample processing and PCR primer choice |
title | 16S rRNA gene-based profiling of the human infant gut microbiota is strongly influenced by sample processing and PCR primer choice |
title_full | 16S rRNA gene-based profiling of the human infant gut microbiota is strongly influenced by sample processing and PCR primer choice |
title_fullStr | 16S rRNA gene-based profiling of the human infant gut microbiota is strongly influenced by sample processing and PCR primer choice |
title_full_unstemmed | 16S rRNA gene-based profiling of the human infant gut microbiota is strongly influenced by sample processing and PCR primer choice |
title_short | 16S rRNA gene-based profiling of the human infant gut microbiota is strongly influenced by sample processing and PCR primer choice |
title_sort | 16s rrna gene-based profiling of the human infant gut microbiota is strongly influenced by sample processing and pcr primer choice |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4482049/ https://www.ncbi.nlm.nih.gov/pubmed/26120470 http://dx.doi.org/10.1186/s40168-015-0087-4 |
work_keys_str_mv | AT walkeralanw 16srrnagenebasedprofilingofthehumaninfantgutmicrobiotaisstronglyinfluencedbysampleprocessingandpcrprimerchoice AT martinjenniferc 16srrnagenebasedprofilingofthehumaninfantgutmicrobiotaisstronglyinfluencedbysampleprocessingandpcrprimerchoice AT scottpaul 16srrnagenebasedprofilingofthehumaninfantgutmicrobiotaisstronglyinfluencedbysampleprocessingandpcrprimerchoice AT parkhilljulian 16srrnagenebasedprofilingofthehumaninfantgutmicrobiotaisstronglyinfluencedbysampleprocessingandpcrprimerchoice AT flintharryj 16srrnagenebasedprofilingofthehumaninfantgutmicrobiotaisstronglyinfluencedbysampleprocessingandpcrprimerchoice AT scottkarenp 16srrnagenebasedprofilingofthehumaninfantgutmicrobiotaisstronglyinfluencedbysampleprocessingandpcrprimerchoice |