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Comparative analysis of shotgun metagenomics and 16S rDNA sequencing of gut microbiota in migratory seagulls
BACKGROUND: Shotgun metagenomic and 16S rDNA sequencing are commonly used methods to identify the taxonomic composition of microbial communities. Previously, we analysed the gut microbiota and intestinal pathogenic bacteria configuration of migratory seagulls by using 16S rDNA sequencing and culture...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
PeerJ Inc.
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10629391/ https://www.ncbi.nlm.nih.gov/pubmed/37941936 http://dx.doi.org/10.7717/peerj.16394 |
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author | Liao, Feng Xia, Yilan Gu, Wenpeng Fu, Xiaoqing Yuan, Bing |
author_facet | Liao, Feng Xia, Yilan Gu, Wenpeng Fu, Xiaoqing Yuan, Bing |
author_sort | Liao, Feng |
collection | PubMed |
description | BACKGROUND: Shotgun metagenomic and 16S rDNA sequencing are commonly used methods to identify the taxonomic composition of microbial communities. Previously, we analysed the gut microbiota and intestinal pathogenic bacteria configuration of migratory seagulls by using 16S rDNA sequencing and culture methods. METHODS: To continue in-depth research on the gut microbiome and reveal the applicability of the two methods, we compared the metagenome and 16S rDNA amplicon results to further demonstrate the features of this animal. RESULTS: The number of bacterial species detected by metagenomics gradually increased from the phylum to species level, consistent with 16S rDNA sequencing. Several taxa were commonly shared by both sequencing methods. However, Escherichia, Shigella, Erwinia, Klebsiella, Salmonella, Escherichia albertii, Shigella sonnei, Salmonella enterica, and Shigella flexneri were unique taxa for the metagenome compared with Escherichia-Shigella, Hafnia-Obesumbacterium, Catellicoccus marimammalium, Lactococcus garvieae, and Streptococcus gallolyticus for 16S rDNA sequencing. The largest differences in relative abundance between the two methods were identified at the species level, which identified many pathogenic bacteria to humans using metagenomic sequencing. Pearson correlation analysis indicated that the correlation coefficient for the two methods gradually decreased with the refinement of the taxonomic levels. The high consistency of the correlation coefficient was identified at the genus level for the beta diversity of the two methods. CONCLUSIONS: In general, relatively consistent patterns and reliability could be identified by both sequencing methods, but the results varied following the refinement of taxonomic levels. Metagenomic sequencing was more suitable for the discovery and detection of pathogenic bacteria of gut microbiota in seagulls. Although there were large differences in the numbers and abundance of bacterial species of the two methods in terms of taxonomic levels, the patterns and reliability results of the samples were consistent. |
format | Online Article Text |
id | pubmed-10629391 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | PeerJ Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-106293912023-11-08 Comparative analysis of shotgun metagenomics and 16S rDNA sequencing of gut microbiota in migratory seagulls Liao, Feng Xia, Yilan Gu, Wenpeng Fu, Xiaoqing Yuan, Bing PeerJ Microbiology BACKGROUND: Shotgun metagenomic and 16S rDNA sequencing are commonly used methods to identify the taxonomic composition of microbial communities. Previously, we analysed the gut microbiota and intestinal pathogenic bacteria configuration of migratory seagulls by using 16S rDNA sequencing and culture methods. METHODS: To continue in-depth research on the gut microbiome and reveal the applicability of the two methods, we compared the metagenome and 16S rDNA amplicon results to further demonstrate the features of this animal. RESULTS: The number of bacterial species detected by metagenomics gradually increased from the phylum to species level, consistent with 16S rDNA sequencing. Several taxa were commonly shared by both sequencing methods. However, Escherichia, Shigella, Erwinia, Klebsiella, Salmonella, Escherichia albertii, Shigella sonnei, Salmonella enterica, and Shigella flexneri were unique taxa for the metagenome compared with Escherichia-Shigella, Hafnia-Obesumbacterium, Catellicoccus marimammalium, Lactococcus garvieae, and Streptococcus gallolyticus for 16S rDNA sequencing. The largest differences in relative abundance between the two methods were identified at the species level, which identified many pathogenic bacteria to humans using metagenomic sequencing. Pearson correlation analysis indicated that the correlation coefficient for the two methods gradually decreased with the refinement of the taxonomic levels. The high consistency of the correlation coefficient was identified at the genus level for the beta diversity of the two methods. CONCLUSIONS: In general, relatively consistent patterns and reliability could be identified by both sequencing methods, but the results varied following the refinement of taxonomic levels. Metagenomic sequencing was more suitable for the discovery and detection of pathogenic bacteria of gut microbiota in seagulls. Although there were large differences in the numbers and abundance of bacterial species of the two methods in terms of taxonomic levels, the patterns and reliability results of the samples were consistent. PeerJ Inc. 2023-11-03 /pmc/articles/PMC10629391/ /pubmed/37941936 http://dx.doi.org/10.7717/peerj.16394 Text en © 2023 Liao et al. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ) and either DOI or URL of the article must be cited. |
spellingShingle | Microbiology Liao, Feng Xia, Yilan Gu, Wenpeng Fu, Xiaoqing Yuan, Bing Comparative analysis of shotgun metagenomics and 16S rDNA sequencing of gut microbiota in migratory seagulls |
title | Comparative analysis of shotgun metagenomics and 16S rDNA sequencing of gut microbiota in migratory seagulls |
title_full | Comparative analysis of shotgun metagenomics and 16S rDNA sequencing of gut microbiota in migratory seagulls |
title_fullStr | Comparative analysis of shotgun metagenomics and 16S rDNA sequencing of gut microbiota in migratory seagulls |
title_full_unstemmed | Comparative analysis of shotgun metagenomics and 16S rDNA sequencing of gut microbiota in migratory seagulls |
title_short | Comparative analysis of shotgun metagenomics and 16S rDNA sequencing of gut microbiota in migratory seagulls |
title_sort | comparative analysis of shotgun metagenomics and 16s rdna sequencing of gut microbiota in migratory seagulls |
topic | Microbiology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10629391/ https://www.ncbi.nlm.nih.gov/pubmed/37941936 http://dx.doi.org/10.7717/peerj.16394 |
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