Feature sequence-based genome mining uncovers the hidden diversity of bacterial siderophore pathways.
Pseudomonas
genetics
genome mining
genomics
microbial secondary metabolites
non-ribosomal peptide synthetases
pyoverdine
siderophore
Journal
eLife
ISSN: 2050-084X
Titre abrégé: Elife
Pays: England
ID NLM: 101579614
Informations de publication
Date de publication:
01 Oct 2024
01 Oct 2024
Historique:
medline:
1
10
2024
pubmed:
1
10
2024
entrez:
1
10
2024
Statut:
epublish
Résumé
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
Identifiants
pubmed: 39352117
doi: 10.7554/eLife.96719
pii: 96719
doi:
pii:
Substances chimiques
Siderophores
0
Oligopeptides
0
Iron
E1UOL152H7
pyoverdin
8062-00-8
Banques de données
Dryad
['10.5061/dryad.jdfn2z3kw']
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Subventions
Organisme : National Key Research and Development Program of China
ID : No. 2021YFF1200500
Organisme : National Natural Science Foundation of China
ID : No. 42107140
Organisme : National Natural Science Foundation of China
ID : No.41922053
Organisme : National Natural Science Foundation of China
ID : No. 32071255
Organisme : National Natural Science Foundation of China
ID : No. T2321001
Organisme : National Postdoctoral Program for Innovative Talents
ID : No. BX2021012
Organisme : Swiss National Science Foundation
ID : no. 310030_212266
Pays : Switzerland
Informations de copyright
© 2024, Gu, Shao et al.
Déclaration de conflit d'intérêts
SG, YS, KR, LB, DZ, RH, RX, JS, AJ, VF, XB, ZW, RK, ZL No competing interests declared