Evidence map›Paper›PMID 39075735›Full record

ReviewMicrobial biotechnology2024

Exploring the secrets of marine microorganisms: Unveiling secondary metabolites through metagenomics.

Shaoyu Wang, Xinyan Li, Weiqin Yang, Ranran Huang

Abstract readReview
In one paragraph

Review in Microbial biotechnology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Marine natural products.Natural product reports · 2026
    Review
  5. Article
  6. Evolutionary Tree in Chemical Space of Natural Products.bioRxiv : the preprint server for biology · 2025
    Article
  7. Microbes Saving Lives and Reducing Suffering.Microbial biotechnology · 2025
    Article
  8. Article
  9. 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

4 authors.

Shaoyu WangInstitute of Marine Science and Technology, Shandong University, Qingdao, Shandong, China.ORCID 0009-0006-1477-5343
Xinyan LiInstitute of Marine Science and Technology, Shandong University, Qingdao, Shandong, China.
Weiqin YangSchool of Computer Science and Technology, Shandong University, Qingdao, Shandong, China.
Ranran HuangInstitute of Marine Science and Technology, Shandong University, Qingdao, Shandong, China.

Funding

Key Research and Development Program of Shandong Province 2020ZLYS04National Natural Science Foundation of China 31970113National Natural Science Foundation of China 32170065Ocean Negative Carbon Emissions (ONCE) Program
6 · The paper itself

Abstract

Marine microorganisms are increasingly recognized as primary producers of marine secondary metabolites, drawing growing research interest. Many of these organisms are unculturable, posing challenges for study. Metagenomic techniques enable research on these unculturable microorganisms, identifying various biosynthetic gene clusters (BGCs) related to marine microbial secondary metabolites, thereby unveiling their secrets. This review comprehensively analyses metagenomic methods used in discovering marine microbial secondary metabolites, highlighting tools commonly employed in BGC identification, and discussing the potential and challenges in this field. It emphasizes the key role of metagenomics in unveiling secondary metabolites, particularly in marine sponges and tunicates. The review also explores current limitations in studying these metabolites through metagenomics, noting how long-read sequencing technologies and the evolution of computational biology tools offer more possibilities for BGC discovery. Furthermore, the development of synthetic biology allows experimental validation of computationally identified BGCs, showcasing the vast potential of metagenomics in mining marine microbial secondary metabolites.

Indexed as

Aquatic OrganismsMetagenomicsSecondary MetabolismAnimalsBacteriaBiological ProductsBiosynthetic PathwaysComputational BiologyMultigene FamilyPoriferaUrochordataBiological Products

Identifiers

PMID39075735
PMCPMC11286668

What OpenQuestion holds

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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.