ArticleFrontiers in genetics2020
The Integration of Genome Mining, Comparative Genomics, and Functional Genetics for Biosynthetic Gene Cluster Identification.
Article in Frontiers in genetics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.
What it found
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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.
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.
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Who cites it
19 citing papers in PubMed, 27 citations in OpenAlex.
- Marine Antimicrobial Peptides: From Ocean Biodiversity to Genome Mining, Multi-Omics Discovery, and Biotechnological Innovation in the Battle Against Antimicrobial Resistance.Probiotics and antimicrobial proteins · 2026Review
- Development of New Drug Against Multidrug-ResistantPharmaceutics · 2026Article
- Lactic Acid Bacteria for Fungal Control and Shelf-Life Extension in Fresh Pasta: Mechanistic Insights and Clean-Label Strategies.Molecules (Basel, Switzerland) · 2026Review
- Antibiotic Resistance Crisis: From Bacterial Bioprospecting to Artificial Intelligence.Environmental microbiology reports · 2025Review
- Recent strategies and methodological advances for microbial natural product research in the post-genomics era.Archives of microbiology · 2025Review
- Genomic and Functional Characterization of Bacillus siamensis B01 with Antimicrobial Activity Against Vibrio spp.Current microbiology · 2025Article
- A semi-selective differential medium for identifying strains of Pantoea from environmental samples.FEMS microbiology letters · 2025Article
- Genome-Guided Identification of Surfactin-ProducingInternational journal of molecular sciences · 2024Article
- Comparative genomics reveals insights into the potential of Lysinibacillus irui as a plant growth promoter.Applied microbiology and biotechnology · 2024Article
- Interaction of bacteriophage P1 with an epiphyticFrontiers in microbiology · 2024Article
- Distribution and comparative genomic analysis of antimicrobial gene clusters found inFrontiers in microbiology · 2024Article
- Review
- Microbial Genomics: Innovative Targets and Mechanisms.Antibiotics (Basel, Switzerland) · 2023Review
- Mining the nanotube-formingComputational and structural biotechnology journal · 2023Article
- Comparative genomics to examine the endophytic potential of Pantoea agglomerans DAPP-PG 734.BMC genomics · 2022Article
- Genome Mining as an Alternative Way for Screening the Marine Organisms for Their Potential to Produce UV-Absorbing Mycosporine-like Amino Acid.Marine drugs · 2022Review
- Biomaterials and Bioactive Natural Products from Marine Invertebrates: From Basic Research to Innovative Applications.Marine drugs · 2022Review
- Identification and Characterization of a Potential Antibiotic Producing Strain ofJournal of genomics · 2022Article
- Targeted Genome Mining Reveals the PsychrophilicFrontiers in microbiology · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Antimicrobial resistance is a worldwide health crisis for which new antibiotics are needed. One strategy for antibiotic discovery is identifying unique antibiotic biosynthetic gene clusters that may produce novel compounds. The aim of this study was to demonstrate how an integrated approach that combines genome mining, comparative genomics, and functional genetics can be used to successfully identify novel biosynthetic gene clusters that produce antimicrobial natural products. Secondary metabolite clusters of an antibiotic producer are first predicted using genome mining tools, generating a list of candidates. Comparative genomic approaches are then used to identify gene suites present in the antibiotic producer that are absent in closely related non-producers. Gene sets that are common to the two lists represent leading candidates, which can then be confirmed using functional genetics approaches. To validate this strategy, we identified the genes responsible for antibiotic production in
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What OpenQuestion holds
Registered trials
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.