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Highly comparable metabarcoding results from MGI-Tech and Illumina sequencing platforms
With the developments in DNA nanoball sequencing technologies and the emergence of new platforms, there is an increasing interest in their performance in comparison with the widely used sequencing-by-synthesis methods. Here, we test the consistency of metabarcoding results from DNBSEQ-G400RS (DNA na...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
PeerJ Inc.
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8491618/ https://www.ncbi.nlm.nih.gov/pubmed/34703674 http://dx.doi.org/10.7717/peerj.12254 |
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author | Anslan, Sten Mikryukov, Vladimir Armolaitis, Kęstutis Ankuda, Jelena Lazdina, Dagnija Makovskis, Kristaps Vesterdal, Lars Schmidt, Inger Kappel Tedersoo, Leho |
author_facet | Anslan, Sten Mikryukov, Vladimir Armolaitis, Kęstutis Ankuda, Jelena Lazdina, Dagnija Makovskis, Kristaps Vesterdal, Lars Schmidt, Inger Kappel Tedersoo, Leho |
author_sort | Anslan, Sten |
collection | PubMed |
description | With the developments in DNA nanoball sequencing technologies and the emergence of new platforms, there is an increasing interest in their performance in comparison with the widely used sequencing-by-synthesis methods. Here, we test the consistency of metabarcoding results from DNBSEQ-G400RS (DNA nanoball sequencing platform by MGI-Tech) and NovaSeq 6000 (sequencing-by-synthesis platform by Illumina) platforms using technical replicates of DNA libraries that consist of COI gene amplicons from 120 soil DNA samples. By subjecting raw sequencing data from both platforms to a uniform bioinformatics processing, we found that the proportion of high-quality reads passing through the filtering steps was similar in both datasets. Per-sample operational taxonomic unit (OTU) and amplicon sequence variant (ASV) richness patterns were highly correlated, but sequencing data from DNBSEQ-G400RS harbored a higher number of OTUs. This may be related to the lower dominance of most common OTUs in DNBSEQ data set (thus revealing higher richness by detecting rare taxa) and/or to a lower effective read quality leading to generation of spurious OTUs. However, there was no statistical difference in the ASV and post-clustered ASV richness between platforms, suggesting that additional denoising step in the ASV workflow had effectively removed the ‘noisy’ reads. Both OTU-based and ASV-based composition were strongly correlated between the sequencing platforms, with essentially interchangeable results. Therefore, we conclude that DNBSEQ-G400RS and NovaSeq 6000 are both equally efficient high-throughput sequencing platforms to be utilized in studies aiming to apply the metabarcoding approach, but the main benefit of the former is related to lower sequencing cost. |
format | Online Article Text |
id | pubmed-8491618 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | PeerJ Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-84916182021-10-25 Highly comparable metabarcoding results from MGI-Tech and Illumina sequencing platforms Anslan, Sten Mikryukov, Vladimir Armolaitis, Kęstutis Ankuda, Jelena Lazdina, Dagnija Makovskis, Kristaps Vesterdal, Lars Schmidt, Inger Kappel Tedersoo, Leho PeerJ Bioinformatics With the developments in DNA nanoball sequencing technologies and the emergence of new platforms, there is an increasing interest in their performance in comparison with the widely used sequencing-by-synthesis methods. Here, we test the consistency of metabarcoding results from DNBSEQ-G400RS (DNA nanoball sequencing platform by MGI-Tech) and NovaSeq 6000 (sequencing-by-synthesis platform by Illumina) platforms using technical replicates of DNA libraries that consist of COI gene amplicons from 120 soil DNA samples. By subjecting raw sequencing data from both platforms to a uniform bioinformatics processing, we found that the proportion of high-quality reads passing through the filtering steps was similar in both datasets. Per-sample operational taxonomic unit (OTU) and amplicon sequence variant (ASV) richness patterns were highly correlated, but sequencing data from DNBSEQ-G400RS harbored a higher number of OTUs. This may be related to the lower dominance of most common OTUs in DNBSEQ data set (thus revealing higher richness by detecting rare taxa) and/or to a lower effective read quality leading to generation of spurious OTUs. However, there was no statistical difference in the ASV and post-clustered ASV richness between platforms, suggesting that additional denoising step in the ASV workflow had effectively removed the ‘noisy’ reads. Both OTU-based and ASV-based composition were strongly correlated between the sequencing platforms, with essentially interchangeable results. Therefore, we conclude that DNBSEQ-G400RS and NovaSeq 6000 are both equally efficient high-throughput sequencing platforms to be utilized in studies aiming to apply the metabarcoding approach, but the main benefit of the former is related to lower sequencing cost. PeerJ Inc. 2021-09-30 /pmc/articles/PMC8491618/ /pubmed/34703674 http://dx.doi.org/10.7717/peerj.12254 Text en © 2021 Anslan 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 | Bioinformatics Anslan, Sten Mikryukov, Vladimir Armolaitis, Kęstutis Ankuda, Jelena Lazdina, Dagnija Makovskis, Kristaps Vesterdal, Lars Schmidt, Inger Kappel Tedersoo, Leho Highly comparable metabarcoding results from MGI-Tech and Illumina sequencing platforms |
title | Highly comparable metabarcoding results from MGI-Tech and Illumina sequencing platforms |
title_full | Highly comparable metabarcoding results from MGI-Tech and Illumina sequencing platforms |
title_fullStr | Highly comparable metabarcoding results from MGI-Tech and Illumina sequencing platforms |
title_full_unstemmed | Highly comparable metabarcoding results from MGI-Tech and Illumina sequencing platforms |
title_short | Highly comparable metabarcoding results from MGI-Tech and Illumina sequencing platforms |
title_sort | highly comparable metabarcoding results from mgi-tech and illumina sequencing platforms |
topic | Bioinformatics |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8491618/ https://www.ncbi.nlm.nih.gov/pubmed/34703674 http://dx.doi.org/10.7717/peerj.12254 |
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