Evidence map›Paper›PMID 38490742›Full record

ArticleFEMS microbiology ecology2024

SecMet-FISH: labeling, visualization, and enumeration of secondary metabolite producing microorganisms.

Yannick Buijs, Aileen Ute Geers, Iuliana Nita, Mikael Lenz Strube, Mikkel Bentzon-Tilia

Open access · goldAbstract read
In one paragraph

Article in FEMS microbiology ecology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
1.4field-weighted citation impact, top 20% of its field
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

1 citing paper in PubMed, 3 citations in OpenAlex.

  1. 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

5 authors at 1 institution in 1 country.

Yannick BuijsDepartment of Biotechnology and Biomedicine, Technical University of Denmark, 2800 Kongens Lyngby, Denmark.ORCID 0000-0002-9310-4161
Aileen Ute GeersDepartment of Biotechnology and Biomedicine, Technical University of Denmark, 2800 Kongens Lyngby, Denmark.ORCID 0000-0002-9162-9423
Iuliana NitaDepartment of Biotechnology and Biomedicine, Technical University of Denmark, 2800 Kongens Lyngby, Denmark.ORCID 0000-0002-2943-8511
Mikael Lenz StrubeDepartment of Biotechnology and Biomedicine, Technical University of Denmark, 2800 Kongens Lyngby, Denmark.ORCID 0000-0003-0905-5705
Mikkel Bentzon-TiliaDepartment of Biotechnology and Biomedicine, Technical University of Denmark, 2800 Kongens Lyngby, Denmark.ORCID 0000-0002-7888-9845
Technical University of Denmark · DK

Funding

Danish National Research Foundation DNRF137The Independent Research Fund Denmark DFF-8048-00035BThe Novo Nordisk Foundation NNF21OC0070749
6 · The paper itself

Abstract

Our understanding of the role of secondary metabolites in microbial communities is challenged by intrinsic limitations of culturing bacteria under laboratory conditions and hence cultivation independent approaches are needed. Here, we present a protocol termed Secondary Metabolite FISH (SecMet-FISH), combining advantages of gene-targeted fluorescence in situ hybridization (geneFISH) with in-solution methods (in-solution FISH) to detect and quantify cells based on their genetic capacity to produce secondary metabolites. The approach capitalizes on the conserved nature of biosynthetic gene clusters (BGCs) encoding adenylation (AD) and ketosynthase (KS) domains, and thus selectively targets the genetic basis of non-ribosomal peptide and polyketide biosynthesis. The concept relies on the generation of amplicon pools using degenerate primers broadly targeting AD and KS domains followed by fluorescent labeling, detection, and quantification. Initially, we obtained AD and KS amplicons from Pseuodoalteromonas rubra, which allowed us to successfully label and visualize BGCs within P. rubra cells, demonstrating the feasibility of SecMet-FISH. Next, we adapted the protocol and optimized it for hybridization in both Gram-negative and Gram-positive bacterial cell suspensions, enabling high-throughput single cell analysis by flow cytometry. Ultimately, we used SecMet-FISH to successfully distinguish secondary metabolite producers from non-producers in a five-member synthetic community.

Indexed as

Multigene FamilyFlow CytometryIn Situ Hybridization, Fluorescencebiosynthetic gene clustersfluorescence in situ hybridizationfunctional genesgeneFISHin-solution FISHsecondary metabolites

Identifiers

PMID38490742
PMCPMC11004939
OpenAlexW4392885955

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.