Evidence map›Paper›PMID 38868337›Full record

ReviewiMeta2023

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

Yu Xia, Xiang Li, Ziqi Wu, Cailong Nie, Zhanwen Cheng, Yuhong Sun, Lei Liu, Tong Zhang

Abstract readReview
In one paragraph

Review in iMeta, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

23 citing papers in PubMed.

  1. Metagenomic next-generation sequencing: new horizons in microbiology.Frontiers in cellular and infection microbiology · 2026
    Review
  2. Characterizing the epidemiology ofEmerging microbes & infections · 2025
    Article
  3. Article
  4. Review
  5. Review
  6. Review
  7. Review
  8. Review
  9. Article
  10. Review
  11. Article
  12. Article
  13. Article
  14. Review
  15. Article
  16. Sequencing Strategy to Ensure Accurate Plasmid Assembly.bioRxiv : the preprint server for biology · 2024
    Article
  17. Article
  18. PlasCAT: Plasmid Cloud Assembly Tool.Bioinformatics (Oxford, England) · 2024
    Article
  19. Review
  20. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Yu XiaSchool of Environmental Science and Engineering, College of Engineering Southern University of Science and Technology Shenzhen China.ORCID 0000-0003-2842-6639
Xiang LiSchool of Environmental Science and Engineering, College of Engineering Southern University of Science and Technology Shenzhen China.
Ziqi WuSchool of Environmental Science and Engineering, College of Engineering Southern University of Science and Technology Shenzhen China.
Cailong NieSchool of Environmental Science and Engineering, College of Engineering Southern University of Science and Technology Shenzhen China.
Zhanwen ChengSchool of Environmental Science and Engineering, College of Engineering Southern University of Science and Technology Shenzhen China.
Yuhong SunSchool of Environmental Science and Engineering, College of Engineering Southern University of Science and Technology Shenzhen China.
Lei LiuEnvironmental Microbiome Engineering and Biotechnology Laboratory The University of Hong Kong Hong Kong SAR China.
Tong ZhangEnvironmental Microbiome Engineering and Biotechnology Laboratory The University of Hong Kong Hong Kong SAR China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

gene‐centric metagenomicsgenome‐centric metagenomicshybrid sequencingillumina and nanopore‐integrated metagenomicsmetagenomicsmicrobiomenanopore sequencing

Identifiers

PMID38868337
PMCPMC10989838

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.