Evidence map›Paper›PMID 40525968›Full record

ArticleMicrobiology (Reading, England)2025

Culturomics from field-grown crop plants using dilution to extinction, two-step library preparation and amplicon sequencing.

Eglantina Lopez-Echartea, Nicholas Dusek, Mallory Misialek, Mohammad Al Mahmud-Un-Nabi, Riley Williamson, Komal Marathe, Barney A Geddes

Abstract read
In one paragraph

Article in Microbiology (Reading, England), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. High-throughput single-cell isolation ofMicrobiology spectrum · 2026
    Article
  3. 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

7 authors.

Eglantina Lopez-EcharteaDepartment of Microbiological Sciences, North Dakota State University, Fargo, ND, USA.
Nicholas DusekCenter for Computationally Assisted Science and Technology, North Dakota State University, Fargo, ND, USA.
Mallory MisialekDepartment of Microbiological Sciences, North Dakota State University, Fargo, ND, USA.
Mohammad Al Mahmud-Un-NabiDepartment of Microbiological Sciences, North Dakota State University, Fargo, ND, USA.
Riley WilliamsonDepartment of Microbiological Sciences, North Dakota State University, Fargo, ND, USA.
Komal MaratheDepartment of Microbiological Sciences, North Dakota State University, Fargo, ND, USA.
Barney A GeddesDepartment of Microbiological Sciences, North Dakota State University, Fargo, ND, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Culturomics approaches have advanced microbial research by enabling the high-throughput isolation and characterization of a broader range of bacterial taxa, including some previously considered unculturable. Here, we present the testing and optimization of a protocol for isolating and identifying hundreds of cultivable microbes from field-grown plants. This protocol was tested and optimized using the root microbiomes of field-grown corn and pea plants under varying environmental conditions in ND, USA. By employing dilution-to-extinction culturing and a two-step barcoding PCR strategy targeting the V4 region of the 16S rRNA gene, we identified over 200 unique bacterial isolates. The optimized bioinformatic pipeline, built around the DADA2 package, ensured accurate amplicon sequence variant detection and taxonomy assignment. The resulting bacterial isolates span diverse phylogenetic groups, including plant-associated taxa known for promoting plant growth and mitigating stress. Our findings highlight the value of culturomics in generating microbial collections for synthetic community design and advancing plant-microbe interaction research. The protocol's scalability, cost-effectiveness and robust performance demonstrate its potential for widespread application in agricultural microbiome studies.

Indexed as

BacteriaCrops, AgriculturalMicrobiotaPisum sativumZea maysDNA, BacterialGene LibraryHigh-Throughput Nucleotide SequencingPhylogenyPlant RootsRNA, Ribosomal, 16SSequence Analysis, DNASoil MicrobiologyDNA, BacterialRNA, Ribosomal, 16Sculturomicsmicrobial ecologymicrobiomesynthetic community

Identifiers

PMID40525968
PMCPMC12174589

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Registered trials

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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.