Evidence map›Paper›PMID 39352117›Full record

ArticleeLife2024

Feature sequence-based genome mining uncovers the hidden diversity of bacterial siderophore pathways.

Shaohua Gu, Yuanzhe Shao, Karoline Rehm, Laurent Bigler, Di Zhang, Ruolin He, Ruichen Xu, Jiqi Shao, Alexandre Jousset, Ville-Petri Friman and 4 more

Abstract read
In one paragraph

Article in eLife, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. Identification of iron and zinc responsive TonB-dependent transporters in Pseudomonas aeruginosa.Biometals : an international journal on the role of metal ions in biology, biochemistry, and medicine · 2026
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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

14 authors.

Shaohua Gu *Center for Quantitative Biology, Academy for Advanced Interdisciplinary Studies, Peking University, Beijing, China.ORCID https://orcid.org/0000-0003-3071-5747
Yuanzhe Shao *Peking-Tsinghua Center for Life Sciences, Academy for Advanced Interdisciplinary Studies, Peking University, Beijing, China.ORCID https://orcid.org/0009-0003-6739-4198
Karoline RehmUniversity of Zurich, Department of Chemistry, Zurich, Switzerland.
Laurent BiglerUniversity of Zurich, Department of Chemistry, Zurich, Switzerland.
Di ZhangCenter for Quantitative Biology, Academy for Advanced Interdisciplinary Studies, Peking University, Beijing, China.
Ruolin HeCenter for Quantitative Biology, Academy for Advanced Interdisciplinary Studies, Peking University, Beijing, China.
Ruichen XuSchool of Life Science, Shandong University, Qingdao, China.
Jiqi ShaoCenter for Quantitative Biology, Academy for Advanced Interdisciplinary Studies, Peking University, Beijing, China.
Alexandre JoussetJiangsu Provincial Key Lab for Organic Solid Waste Utilization, Key Lab of Organic-based Fertilizers of China, Nanjing Agricultural University, Nanjing, China.
Ville-Petri FrimanUniversity of Helsinki, Department of Microbiology, Helsinki, Finland.
Xiaoying BianHelmholtz International Lab for Anti-infectives, State Key Laboratory of Microbial Technology, Shandong University, Qingdao, China.
Zhong WeiJiangsu Provincial Key Lab for Organic Solid Waste Utilization, Key Lab of Organic-based Fertilizers of China, Nanjing Agricultural University, Nanjing, China.ORCID https://orcid.org/0000-0002-7967-4897
Rolf KümmerliUniversity of Zurich, Department of Quantitative Biomedicine, Zurich, Switzerland.ORCID https://orcid.org/0000-0003-4084-6679
Zhiyuan LiCenter for Quantitative Biology, Academy for Advanced Interdisciplinary Studies, Peking University, Beijing, China.ORCID https://orcid.org/0000-0001-6662-2636

Funding

National Key Research and Development Program of China No. 2021YFF1200500National Natural Science Foundation of China No. 32071255National Natural Science Foundation of China No.41922053National Natural Science Foundation of China No. 42107140National Natural Science Foundation of China No. T2321001National Postdoctoral Program for Innovative Talents No. BX2021012Swiss National Science Foundation no. 310030_212266
6 · The paper itself

Abstract

Microbial secondary metabolites are a rich source for pharmaceutical discoveries and play crucial ecological functions. While tools exist to identify secondary metabolite clusters in genomes, precise sequence-to-function mapping remains challenging because neither function nor substrate specificity of biosynthesis enzymes can accurately be predicted. Here, we developed a knowledge-guided bioinformatic pipeline to solve these issues. We analyzed 1928 genomes of

Indexed as

Computational BiologyGenome, BacterialPseudomonasSiderophoresIronMetabolic Networks and PathwaysOligopeptidesPhylogenySecondary MetabolismIronOligopeptidespyoverdinSiderophoresgeneticsgenome mininggenomicsmicrobial secondary metabolitesnon-ribosomal peptide synthetasesPseudomonaspyoverdinesiderophore

Identifiers

PMID39352117
PMCPMC11444679

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.