Simple view
Full metadata view
Authors
Statistics
A large-scale comparative metagenomic analysis of short-read sequencing platforms indicates high taxonomic concordance and functional analysis challenge
metagenomics
short-read sequencing
microbiome
Paweł Łabaj podpisany: Paweł P. Łabaj. Bibliogr.
Driven by the increasing scale of microbiome studies and the rise of large, continuously expanding population cohorts, the volume of sequencing data is growing rapidly. As such, ensuring the comparability of data generated across different sequencing platforms has become a pressing concern in efforts to uncover robust links between the microbiome and human health. In this study, we conducted a comprehensive comparison of taxonomic and functional profiles from 1,351 matched human gut microbiome sample pairs, sequenced using both the MGISEQ-2000 (MGI) and NovaSeq 6000 (Illumina NovaSeq) platforms. Taxonomic profiles showed high concordance within and between platforms: 96.44% ± 5.96% of species were shared between MGI-MGI pairs, and 92.07% ± 5.20% were shared between MGI and NovaSeq pairs. The proportion of platform-specific species was low, at 3.42% for MGI-MGI comparisons and 5.89% for MGI-NovaSeq comparisons. No significant differences in Shannon diversity were observed for either within-platform or between-platform comparisons. However, functional profiles revealed notable discrepancies between platforms, which were attributed to differences in pre-sequencing protocols.
| dc.abstract.en | Driven by the increasing scale of microbiome studies and the rise of large, continuously expanding population cohorts, the volume of sequencing data is growing rapidly. As such, ensuring the comparability of data generated across different sequencing platforms has become a pressing concern in efforts to uncover robust links between the microbiome and human health. In this study, we conducted a comprehensive comparison of taxonomic and functional profiles from 1,351 matched human gut microbiome sample pairs, sequenced using both the MGISEQ-2000 (MGI) and NovaSeq 6000 (Illumina NovaSeq) platforms. Taxonomic profiles showed high concordance within and between platforms: 96.44% ± 5.96% of species were shared between MGI-MGI pairs, and 92.07% ± 5.20% were shared between MGI and NovaSeq pairs. The proportion of platform-specific species was low, at 3.42% for MGI-MGI comparisons and 5.89% for MGI-NovaSeq comparisons. No significant differences in Shannon diversity were observed for either within-platform or between-platform comparisons. However, functional profiles revealed notable discrepancies between platforms, which were attributed to differences in pre-sequencing protocols. | |
| dc.affiliation | Pion Prorektora ds. nauki : Małopolskie Centrum Biotechnologii | |
| dc.contributor.author | Zielińska, Kinga - 483662 | |
| dc.contributor.author | Pantiukh, Kateryna | |
| dc.contributor.author | Łabaj, Paweł - 393494 | |
| dc.contributor.author | Kościółek, Tomasz - 106890 | |
| dc.contributor.author | Org, Elin | |
| dc.date.accessioned | 2026-08-13T08:57:20Z | |
| dc.date.available | 2026-08-13T08:57:20Z | |
| dc.date.createdat | 2026-08-01T08:02:03Z | en |
| dc.date.issued | 2026 | |
| dc.date.openaccess | 0 | |
| dc.description.accesstime | w momencie opublikowania | |
| dc.description.additional | Paweł Łabaj podpisany: Paweł P. Łabaj. Bibliogr. | |
| dc.description.number | 6 | |
| dc.description.version | ostateczna wersja wydawcy | |
| dc.description.volume | 11 | |
| dc.identifier.articleid | e01714-25 | |
| dc.identifier.doi | 10.1128/msystems.01714-25 | |
| dc.identifier.eissn | 2379-5077 | |
| dc.identifier.project | DRC AI | |
| dc.identifier.uri | https://ruj.uj.edu.pl/handle/item/580793 | |
| dc.language | eng | |
| dc.language.container | eng | |
| dc.relation.funding | Estonian Research Competency Council | |
| dc.relation.funding | Narodowe Centrum Nauki | |
| dc.relation.funding | Ministerstwo Edukacji i Nauki | |
| dc.relation.funding | Infrastruktura PL-Grid | |
| dc.relation.funding | Estonian Center of Genomics/Roadmap II, funded by the Estonian Research Council | |
| dc.relation.funding | European Molecular Biology Organization | |
| dc.rights | Udzielam licencji. Uznanie autorstwa 4.0 Międzynarodowa | |
| dc.rights.licence | CC-BY | |
| dc.rights.uri | http://creativecommons.org/licenses/by/4.0/legalcode.pl | |
| dc.share.type | otwarte czasopismo | |
| dc.source | CrossRef | |
| dc.source.integrator | true | |
| dc.subject.en | metagenomics | |
| dc.subject.en | short-read sequencing | |
| dc.subject.en | microbiome | |
| dc.subtype | Article | |
| dc.title | A large-scale comparative metagenomic analysis of short-read sequencing platforms indicates high taxonomic concordance and functional analysis challenge | |
| dc.title.journal | mSystems | |
| dc.type | JournalArticle | |
| dspace.entity.type | Publication | en |
* The migration of download and view statistics prior to the date of April 8, 2024 is in progress.
Views
17
Views per month
Views per city
Downloads
Open Access