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Article: Strategies and tools in illumina and nanopore-integrated metagenomic analysis of microbiome data

TitleStrategies and tools in illumina and nanopore-integrated metagenomic analysis of microbiome data
Authors
Keywordsgene-centric metagenomics
genome-centric metagenomics
hybrid sequencing
illumina and nanopore-integrated metagenomics
metagenomics
microbiome
nanopore sequencing
Issue Date1-Feb-2023
PublisherWiley Open Access
Citation
iMeta, 2023, v. 2, n. 1 How to Cite?
Abstract

Metagenomic strategy serves as the foundation for the ecological exploration of novel bioresources (e.g., industrial enzymes and bioactive molecules) and biohazards (e.g., pathogens and antibiotic resistance genes) in natural and engineered microbial systems across multiple disciplines. Recent advancements in sequencing technology have fostered rapid development in the field of microbiome research where an increasing number of studies have applied both illumina short reads (SRs) and nanopore long reads (LRs) sequencing in their metagenomic workflow. However, given the high complexity of an environmental microbiome data set and the bioinformatic challenges caused by the unique features of these sequencing technologies, integrating SRs and LRs is not as straightforward as one might assume. The fast renewal of existing tools and growing diversity of new algorithms make access to this field even more difficult. Therefore, here we systematically summarized the complete workflow from DNA extraction to data processing strategies for applying illumina and nanopore-integrated metagenomics in the investigation in environmental microbiomes. Overall, this review aims to provide a timely knowledge framework for researchers that are interested in or are struggling with the SRs and LRs integration in their metagenomic analysis. The discussions presented will facilitate improved ecological understanding of community functionalities and assembly of natural, engineered, and human microbiomes, benefiting researchers from multiple disciplines.


Persistent Identifierhttp://hdl.handle.net/10722/362192
ISSN
2023 Impact Factor: 23.7
2023 SCImago Journal Rankings: 3.269

 

DC FieldValueLanguage
dc.contributor.authorXia, Yu-
dc.contributor.authorLi, Xiang-
dc.contributor.authorWu, Ziqi-
dc.contributor.authorNie, Cailong-
dc.contributor.authorCheng, Zhanwen-
dc.contributor.authorSun, Yuhong-
dc.contributor.authorLiu, Lei-
dc.contributor.authorZhang, Tong-
dc.date.accessioned2025-09-20T00:30:40Z-
dc.date.available2025-09-20T00:30:40Z-
dc.date.issued2023-02-01-
dc.identifier.citationiMeta, 2023, v. 2, n. 1-
dc.identifier.issn2770-5986-
dc.identifier.urihttp://hdl.handle.net/10722/362192-
dc.description.abstract<p>Metagenomic strategy serves as the foundation for the ecological exploration of novel bioresources (e.g., industrial enzymes and bioactive molecules) and biohazards (e.g., pathogens and antibiotic resistance genes) in natural and engineered microbial systems across multiple disciplines. Recent advancements in sequencing technology have fostered rapid development in the field of microbiome research where an increasing number of studies have applied both illumina short reads (SRs) and nanopore long reads (LRs) sequencing in their metagenomic workflow. However, given the high complexity of an environmental microbiome data set and the bioinformatic challenges caused by the unique features of these sequencing technologies, integrating SRs and LRs is not as straightforward as one might assume. The fast renewal of existing tools and growing diversity of new algorithms make access to this field even more difficult. Therefore, here we systematically summarized the complete workflow from DNA extraction to data processing strategies for applying illumina and nanopore-integrated metagenomics in the investigation in environmental microbiomes. Overall, this review aims to provide a timely knowledge framework for researchers that are interested in or are struggling with the SRs and LRs integration in their metagenomic analysis. The discussions presented will facilitate improved ecological understanding of community functionalities and assembly of natural, engineered, and human microbiomes, benefiting researchers from multiple disciplines.</p>-
dc.languageeng-
dc.publisherWiley Open Access-
dc.relation.ispartofiMeta-
dc.rightsThis work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.-
dc.subjectgene-centric metagenomics-
dc.subjectgenome-centric metagenomics-
dc.subjecthybrid sequencing-
dc.subjectillumina and nanopore-integrated metagenomics-
dc.subjectmetagenomics-
dc.subjectmicrobiome-
dc.subjectnanopore sequencing-
dc.titleStrategies and tools in illumina and nanopore-integrated metagenomic analysis of microbiome data-
dc.typeArticle-
dc.description.naturepublished_or_final_version-
dc.identifier.doi10.1002/imt2.72-
dc.identifier.scopuseid_2-s2.0-85148578957-
dc.identifier.volume2-
dc.identifier.issue1-
dc.identifier.eissn2770-596X-

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