A large-scale comparative metagenomic analysis of short-read sequencing platforms indicates high taxonomic concordance and functional analysis challenge

2026
journal article
article
1
dc.abstract.enDriven 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.affiliationPion Prorektora ds. nauki : Małopolskie Centrum Biotechnologii
dc.contributor.authorZielińska, Kinga - 483662
dc.contributor.authorPantiukh, Kateryna
dc.contributor.authorŁabaj, Paweł - 393494
dc.contributor.authorKościółek, Tomasz - 106890
dc.contributor.authorOrg, Elin
dc.date.accessioned2026-08-13T08:57:20Z
dc.date.available2026-08-13T08:57:20Z
dc.date.createdat2026-08-01T08:02:03Zen
dc.date.issued2026
dc.date.openaccess0
dc.description.accesstimew momencie opublikowania
dc.description.additionalPaweł Łabaj podpisany: Paweł P. Łabaj. Bibliogr.
dc.description.number6
dc.description.versionostateczna wersja wydawcy
dc.description.volume11
dc.identifier.articleide01714-25
dc.identifier.doi10.1128/msystems.01714-25
dc.identifier.eissn2379-5077
dc.identifier.projectDRC AI
dc.identifier.urihttps://ruj.uj.edu.pl/handle/item/580793
dc.languageeng
dc.language.containereng
dc.relation.fundingEstonian Research Competency Council
dc.relation.fundingNarodowe Centrum Nauki
dc.relation.fundingMinisterstwo Edukacji i Nauki
dc.relation.fundingInfrastruktura PL-Grid
dc.relation.fundingEstonian Center of Genomics/Roadmap II, funded by the Estonian Research Council
dc.relation.fundingEuropean Molecular Biology Organization
dc.rightsUdzielam licencji. Uznanie autorstwa 4.0 Międzynarodowa
dc.rights.licenceCC-BY
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/legalcode.pl
dc.share.typeotwarte czasopismo
dc.sourceCrossRef
dc.source.integratortrue
dc.subject.enmetagenomics
dc.subject.enshort-read sequencing
dc.subject.enmicrobiome
dc.subtypeArticle
dc.titleA large-scale comparative metagenomic analysis of short-read sequencing platforms indicates high taxonomic concordance and functional analysis challenge
dc.title.journalmSystems
dc.typeJournalArticle
dspace.entity.typePublicationen
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.createdaten
2026-08-01T08:02:03Z
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.typeen
Publication
Affiliations

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