Cargando…

Evaluating the Reproducibility of Amplicon Sequencing Data Derived from Deep-Sea Cold Seep Sediment-Associated Microbiota

Benefiting from the rapid developments and wide applications of high-throughput sequencing, great advancements have been made in investigating microbiota, which are highly diverse and play key roles in both element cycling and the energy flow of ecosystems. There have been inherent limitations of am...

Descripción completa

Detalles Bibliográficos
Autores principales: Kong, Jie, Feng, Jingchun, Sun, Liwei, Zhang, Si
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Society for Microbiology 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10269476/
https://www.ncbi.nlm.nih.gov/pubmed/37074190
http://dx.doi.org/10.1128/spectrum.04048-22
_version_ 1785059177615327232
author Kong, Jie
Feng, Jingchun
Sun, Liwei
Zhang, Si
author_facet Kong, Jie
Feng, Jingchun
Sun, Liwei
Zhang, Si
author_sort Kong, Jie
collection PubMed
description Benefiting from the rapid developments and wide applications of high-throughput sequencing, great advancements have been made in investigating microbiota, which are highly diverse and play key roles in both element cycling and the energy flow of ecosystems. There have been inherent limitations of amplicon sequencing that could introduce uncertainty and raise concerns about the accuracy and reproducibility of this technology. However, studies focusing on the reproducibility of amplicon sequencing are limited, especially in characterizing microbial communities in deep-sea sediments. To evaluate reproducibility, 118 deep-sea sediment samples were used for 16S rRNA gene sequencing in technical replicates (repeated measurements of the same sample) that demonstrate the variability of amplicon sequencing. The average occurrence-based overlaps were 35.98% and 27.02% between two and among three technical replicates, respectively, whereas their abundance-based overlaps reached 84.88% and 83.16%, respectively. Although variations of alpha and beta diversity indices were found between/among technical replicates, alpha diversity indices were similar across samples, and the average beta diversity indices were much smaller for technical replicates than among samples. Moreover, clustering methods (i.e., operational taxonomic units [OTUs] and amplicon sequence variants [ASVs]) were shown to have little impact on the alpha and beta diversity patterns of microbial communities. Taken together, although there are variations between/among technical replicates, amplicon sequencing is still a powerful tool with which to reveal diversity patterns of microbiota in deep-sea sediments. IMPORTANCE The reproducibility of amplicon sequencing is vital for whether the diversities of microbial communities could be accurately estimated. Thus, reproducibility influences the drawing of sound ecological conclusions. Nevertheless, few studies have focused on the reproducibility of microbial communities that are characterized by amplicon sequencing, and studies focusing on microbiota in deep-sea sediments have been especially lacking. In this study, we evaluated the reproducibility of amplicon sequencing targeting microbiota in deep-sea sediments of cold seep. Our results revealed that there were variations between/among technical replicates and that amplicon sequencing was still a powerful tool with which to characterize the diversities of microbial communities in deep-sea sediments. This study provides valuable guidelines for the reproducibility evaluation of future work in experimental design and interpretation.
format Online
Article
Text
id pubmed-10269476
institution National Center for Biotechnology Information
language English
publishDate 2023
publisher American Society for Microbiology
record_format MEDLINE/PubMed
spelling pubmed-102694762023-06-16 Evaluating the Reproducibility of Amplicon Sequencing Data Derived from Deep-Sea Cold Seep Sediment-Associated Microbiota Kong, Jie Feng, Jingchun Sun, Liwei Zhang, Si Microbiol Spectr Research Article Benefiting from the rapid developments and wide applications of high-throughput sequencing, great advancements have been made in investigating microbiota, which are highly diverse and play key roles in both element cycling and the energy flow of ecosystems. There have been inherent limitations of amplicon sequencing that could introduce uncertainty and raise concerns about the accuracy and reproducibility of this technology. However, studies focusing on the reproducibility of amplicon sequencing are limited, especially in characterizing microbial communities in deep-sea sediments. To evaluate reproducibility, 118 deep-sea sediment samples were used for 16S rRNA gene sequencing in technical replicates (repeated measurements of the same sample) that demonstrate the variability of amplicon sequencing. The average occurrence-based overlaps were 35.98% and 27.02% between two and among three technical replicates, respectively, whereas their abundance-based overlaps reached 84.88% and 83.16%, respectively. Although variations of alpha and beta diversity indices were found between/among technical replicates, alpha diversity indices were similar across samples, and the average beta diversity indices were much smaller for technical replicates than among samples. Moreover, clustering methods (i.e., operational taxonomic units [OTUs] and amplicon sequence variants [ASVs]) were shown to have little impact on the alpha and beta diversity patterns of microbial communities. Taken together, although there are variations between/among technical replicates, amplicon sequencing is still a powerful tool with which to reveal diversity patterns of microbiota in deep-sea sediments. IMPORTANCE The reproducibility of amplicon sequencing is vital for whether the diversities of microbial communities could be accurately estimated. Thus, reproducibility influences the drawing of sound ecological conclusions. Nevertheless, few studies have focused on the reproducibility of microbial communities that are characterized by amplicon sequencing, and studies focusing on microbiota in deep-sea sediments have been especially lacking. In this study, we evaluated the reproducibility of amplicon sequencing targeting microbiota in deep-sea sediments of cold seep. Our results revealed that there were variations between/among technical replicates and that amplicon sequencing was still a powerful tool with which to characterize the diversities of microbial communities in deep-sea sediments. This study provides valuable guidelines for the reproducibility evaluation of future work in experimental design and interpretation. American Society for Microbiology 2023-04-19 /pmc/articles/PMC10269476/ /pubmed/37074190 http://dx.doi.org/10.1128/spectrum.04048-22 Text en Copyright © 2023 Kong et al. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 International license (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Research Article
Kong, Jie
Feng, Jingchun
Sun, Liwei
Zhang, Si
Evaluating the Reproducibility of Amplicon Sequencing Data Derived from Deep-Sea Cold Seep Sediment-Associated Microbiota
title Evaluating the Reproducibility of Amplicon Sequencing Data Derived from Deep-Sea Cold Seep Sediment-Associated Microbiota
title_full Evaluating the Reproducibility of Amplicon Sequencing Data Derived from Deep-Sea Cold Seep Sediment-Associated Microbiota
title_fullStr Evaluating the Reproducibility of Amplicon Sequencing Data Derived from Deep-Sea Cold Seep Sediment-Associated Microbiota
title_full_unstemmed Evaluating the Reproducibility of Amplicon Sequencing Data Derived from Deep-Sea Cold Seep Sediment-Associated Microbiota
title_short Evaluating the Reproducibility of Amplicon Sequencing Data Derived from Deep-Sea Cold Seep Sediment-Associated Microbiota
title_sort evaluating the reproducibility of amplicon sequencing data derived from deep-sea cold seep sediment-associated microbiota
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10269476/
https://www.ncbi.nlm.nih.gov/pubmed/37074190
http://dx.doi.org/10.1128/spectrum.04048-22
work_keys_str_mv AT kongjie evaluatingthereproducibilityofampliconsequencingdataderivedfromdeepseacoldseepsedimentassociatedmicrobiota
AT fengjingchun evaluatingthereproducibilityofampliconsequencingdataderivedfromdeepseacoldseepsedimentassociatedmicrobiota
AT sunliwei evaluatingthereproducibilityofampliconsequencingdataderivedfromdeepseacoldseepsedimentassociatedmicrobiota
AT zhangsi evaluatingthereproducibilityofampliconsequencingdataderivedfromdeepseacoldseepsedimentassociatedmicrobiota