Evidence map›Paper›PMID 36748531›Full record

ArticleMicrobial genomics2023

Biosynthetic novelty index reveals the metabolic potential of rare actinobacteria isolated from highly oligotrophic sediments.

Luz A González-Salazar, Michelle Quezada, Lorena Rodríguez-Orduña, Hilda Ramos-Aboites, Robert J Capon, Valeria Souza-Saldívar, Francisco Barona-Gomez, Cuauhtémoc Licona-Cassani

Abstract read
In one paragraph

Article in Microbial genomics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

  1. Comparative Genome Mining ofMarine drugs · 2026
    Article
  2. Biosynthetic diversity and antifungal potential of soil-derivedApplied and environmental microbiology · 2026
    Article
  3. Review
  4. Biodiscovery ofMicrobial genomics · 2025
    Article
  5. Article
  6. Draft genome sequence ofMicrobiology resource announcements · 2025
    Article
  7. Article
  8. Article
  9. Microbial genomics · 2024
    Article
  10. International journal of systematic and evolutionary microbiology · 2024
    Article
  11. Article
  12. Article
  13. Article
  14. Article
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.

Luz A González-SalazarIndustrial Genomics Laboratory, Escuela de Ingeniería y Ciencias, Tecnológico de Monterrey, Nuevo León, Mexico.
Michelle QuezadaInstitute for Molecular Bioscience, University of Queensland, St Lucia, Queensland 4072, Australia.
Lorena Rodríguez-OrduñaIndustrial Genomics Laboratory, Escuela de Ingeniería y Ciencias, Tecnológico de Monterrey, Nuevo León, Mexico.
Hilda Ramos-AboitesEvolution of Metabolic Diversity Laboratory, Unidad de Genómica Avanza (LANGEBIO), Cinvestav-IPN, Irapuato, Mexico.
Robert J CaponInstitute for Molecular Bioscience, University of Queensland, St Lucia, Queensland 4072, Australia.
Valeria Souza-SaldívarDepartamento de Ecología Evolutiva, Instituto de Ecología, Universidad Nacional Autónoma de México, Ciudad de México, Mexico.
Francisco Barona-GomezEvolution of Metabolic Diversity Laboratory, Unidad de Genómica Avanza (LANGEBIO), Cinvestav-IPN, Irapuato, Mexico.
Cuauhtémoc Licona-CassaniIndustrial Genomics Laboratory, Escuela de Ingeniería y Ciencias, Tecnológico de Monterrey, Nuevo León, Mexico.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Calculations predict that testing of 5 000-10 000 molecules and >1 billion US dollars (£0.8 billion, £1=$1.2) are required for one single drug to come to the market. A solution to this problem is to establish more efficient protocols that reduce the high rate of re-isolation and continuous rediscovery of natural products during early stages of the drug development process. The study of 'rare actinobacteria' has emerged as a possible approach for increasing the discovery rate of drug leads from natural sources. Here, we define a simple genomic metric, defined as biosynthetic novelty index (BiNI), that can be used to rapidly rank strains according to the novelty of the subset of encoding biosynthetic clusters. By comparing a subset of high-quality genomes from strains of different taxonomic and ecological backgrounds, we used the BiNI score to support the notion that rare actinobacteria encode more biosynthetic gene cluster (BGC) novelty. In addition, we present the isolation and genomic characterization, focused on specialized metabolites and phenotypic screening, of two isolates belonging to genera

Indexed as

ActinobacteriaGenomicsActinokineosporaBiNICuatro Cienegasgenome miningLentzeanatural products

Identifiers

PMID36748531
PMCPMC9973853

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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.