Evidence map›Paper›PMID 41833567›Full record

ArticleMicrobiologyOpen2026

Bridging the Cultivation Gap in Plant Microbiomes: A Comparative Study of Aerial Root Mucilage Microbiome Characterization by Conventional Isolation, Prospector High-Throughput Cultivation, and Molecular Profiling.

Esaú De la Vega-Camarillo, Amanda C Quattrone, Sakiko Okumoto, Nithya Rajan, Cesar Hernández-Rodríguez, Julio S Bernal, Sanjay Antony-Babu

Abstract readComparative Study
In one paragraph

Article in MicrobiologyOpen, 2026. 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. Endophytic Fungi from WildJournal of fungi (Basel, Switzerland) · 2026
    Article
  2. Article
  3. Review
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.

Esaú De la Vega-CamarilloDepartamento de Microbiología, Laboratorio de Biología Molecular de Bacterias y Levaduras, Escuela Nacional de Ciencias Biológicas, México City, México.ORCID 0000-0002-2408-7986
Amanda C QuattroneDepartment of Plant Pathology and Microbiology, Texas A&M University, College Station, Texas, USA.
Sakiko OkumotoDepartment of Soil and Crops Sciences, Texas A&M University, College Station, Texas, USA.
Nithya RajanDepartment of Soil and Crops Sciences, Texas A&M University, College Station, Texas, USA.ORCID 0000-0003-3798-2629
Cesar Hernández-RodríguezDepartamento de Microbiología, Laboratorio de Biología Molecular de Bacterias y Levaduras, Escuela Nacional de Ciencias Biológicas, México City, México.
Julio S BernalDepartment of Entomology, Texas A&M University, College Station, Texas, USA.
Sanjay Antony-BabuDepartment of Plant Pathology and Microbiology, Texas A&M University, College Station, Texas, USA.

Funding

SIP projects 20240945SIP projects 20251163USDA NIFA-AFRI 13322389USDA NIFA-AFRI 2208267
6 · The paper itself

Abstract

The "great plate count anomaly" represents a fundamental challenge in microbiome research, with vast microbial diversity remaining uncultivable. We systematically compared three methodological approaches for characterizing plant-associated bacterial communities: conventional plate cultivation, the high-throughput Prospector platform, and full-length 16S rRNA nanopore sequencing. Using mucilage-associated bacteria from teosinte and sorghum as model systems, we evaluated efficiency, taxonomic coverage, and inherent biases. The Prospector platform dramatically outperformed conventional cultivation, achieving 8x to 13.5x improvements in isolate recovery (342 vs. 43 isolates from sorghum; 379 vs. 28 from teosinte) and 1.5x to 1.8x improvements in genus-level detection. While metabarcoding detected 82 total genera, cultivation methods captured only 35.4% of this diversity, with Prospector recovering 16.9%-25.7% compared to 11.3%-14.3% for conventional methods. Each approach exhibited distinct taxonomic biases: conventional plating favored fast-growing taxa (Pseudomonas, Pantoea, Bacillus), Prospector accessed slower-growing bacteria (Sphingomonas, Curtobacterium), while metabarcoding exclusively detected 59-85 cultivation-resistant genera. We propose an integrated framework leveraging complementary strengths: metabarcoding for comprehensive profiling, Prospector for enhanced cultivation efficiency, and conventional isolation for targeted applications. Together, our findings establish quantitative benchmarks for method comparison and support an integrative framework that combines metabarcoding for comprehensive profiling, the Prospector platform for enhanced cultivation efficiency, and conventional isolation for targeted applications, highlighting how methodological choices fundamentally shape our understanding of microbial diversity.

Indexed as

BacteriaMicrobiotaPlant MucilagePlant RootsSorghumZea maysDNA, BacterialDNA Barcoding, TaxonomicHigh-Throughput Nucleotide SequencingMicrofluidicsRNA, Ribosomal, 16SSequence Analysis, DNADNA, BacterialPlant MucilageRNA, Ribosomal, 16S16S rRNA sequencingcultivation methodshigh‐throughput isolationmethodological comparisonmicrobiomeProspector IsolationBio

Identifiers

PMID41833567
PMCPMC13140559

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.