Cargando…

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

We evaluated the effect of applying different sets of 16S rRNA primers on bacterial composition, diversity, and predicted function in chicken ceca. Cecal contents from Ross 708 birds at 1, 3, and 5 weeks of age were collected for DNA isolation. Eight different primer pairs targeting different variab...

Descripción completa

Detalles Bibliográficos
Autores principales: Darwish, Nadia, Shao, Jonathan, Schreier, Lori L., Proszkowiec-Weglarz, Monika
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8178357/
https://www.ncbi.nlm.nih.gov/pubmed/34088939
http://dx.doi.org/10.1038/s41598-021-91387-w
_version_ 1783703556685037568
author Darwish, Nadia
Shao, Jonathan
Schreier, Lori L.
Proszkowiec-Weglarz, Monika
author_facet Darwish, Nadia
Shao, Jonathan
Schreier, Lori L.
Proszkowiec-Weglarz, Monika
author_sort Darwish, Nadia
collection PubMed
description We evaluated the effect of applying different sets of 16S rRNA primers on bacterial composition, diversity, and predicted function in chicken ceca. Cecal contents from Ross 708 birds at 1, 3, and 5 weeks of age were collected for DNA isolation. Eight different primer pairs targeting different variable regions of the 16S rRNA gene were employed. DNA sequences were analyzed using open-source platform QIIME2 and the Greengenes database. PICRUSt2 was used to determine the predicted function of bacterial communities. Changes in bacterial relative abundance due to 16S primers were determined by GLMs. The average PCR amplicon size ranged from 315 bp (V3) to 769 bp (V4–V6). Alpha- and beta-diversity, taxonomic composition, and predicted functions were significantly affected by the primer choice. Beta diversity analysis based on Unweighted UniFrac distance matrix showed separation of microbiota with four different clusters of bacterial communities. Based on the alpha- and beta-diversity and taxonomic composition, variable regions V1–V3(1) and (2), and V3–V4 and V3–V5 were in most consensus. Our data strongly suggest that selection of particular sets of the 16S rRNA primers can impact microbiota analysis and interpretation of results in chicken as was shown previously for humans and other animal species.
format Online
Article
Text
id pubmed-8178357
institution National Center for Biotechnology Information
language English
publishDate 2021
publisher Nature Publishing Group UK
record_format MEDLINE/PubMed
spelling pubmed-81783572021-06-08 Choice of 16S ribosomal RNA primers affects the microbiome analysis in chicken ceca Darwish, Nadia Shao, Jonathan Schreier, Lori L. Proszkowiec-Weglarz, Monika Sci Rep Article We evaluated the effect of applying different sets of 16S rRNA primers on bacterial composition, diversity, and predicted function in chicken ceca. Cecal contents from Ross 708 birds at 1, 3, and 5 weeks of age were collected for DNA isolation. Eight different primer pairs targeting different variable regions of the 16S rRNA gene were employed. DNA sequences were analyzed using open-source platform QIIME2 and the Greengenes database. PICRUSt2 was used to determine the predicted function of bacterial communities. Changes in bacterial relative abundance due to 16S primers were determined by GLMs. The average PCR amplicon size ranged from 315 bp (V3) to 769 bp (V4–V6). Alpha- and beta-diversity, taxonomic composition, and predicted functions were significantly affected by the primer choice. Beta diversity analysis based on Unweighted UniFrac distance matrix showed separation of microbiota with four different clusters of bacterial communities. Based on the alpha- and beta-diversity and taxonomic composition, variable regions V1–V3(1) and (2), and V3–V4 and V3–V5 were in most consensus. Our data strongly suggest that selection of particular sets of the 16S rRNA primers can impact microbiota analysis and interpretation of results in chicken as was shown previously for humans and other animal species. Nature Publishing Group UK 2021-06-04 /pmc/articles/PMC8178357/ /pubmed/34088939 http://dx.doi.org/10.1038/s41598-021-91387-w Text en © This is a U.S. Government work and not under copyright protection in the US; foreign copyright protection may apply 2021 https://creativecommons.org/licenses/by/4.0/ Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Darwish, Nadia
Shao, Jonathan
Schreier, Lori L.
Proszkowiec-Weglarz, Monika
Choice of 16S ribosomal RNA primers affects the microbiome analysis in chicken ceca
title Choice of 16S ribosomal RNA primers affects the microbiome analysis in chicken ceca
title_full Choice of 16S ribosomal RNA primers affects the microbiome analysis in chicken ceca
title_fullStr Choice of 16S ribosomal RNA primers affects the microbiome analysis in chicken ceca
title_full_unstemmed Choice of 16S ribosomal RNA primers affects the microbiome analysis in chicken ceca
title_short Choice of 16S ribosomal RNA primers affects the microbiome analysis in chicken ceca
title_sort choice of 16s ribosomal rna primers affects the microbiome analysis in chicken ceca
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8178357/
https://www.ncbi.nlm.nih.gov/pubmed/34088939
http://dx.doi.org/10.1038/s41598-021-91387-w
work_keys_str_mv AT darwishnadia choiceof16sribosomalrnaprimersaffectsthemicrobiomeanalysisinchickenceca
AT shaojonathan choiceof16sribosomalrnaprimersaffectsthemicrobiomeanalysisinchickenceca
AT schreierloril choiceof16sribosomalrnaprimersaffectsthemicrobiomeanalysisinchickenceca
AT proszkowiecweglarzmonika choiceof16sribosomalrnaprimersaffectsthemicrobiomeanalysisinchickenceca