Evidence map›Paper›PMID 39999861›Full record

ArticleFEMS microbiology ecology2025

Rhizosphere microbiome influence on tomato growth under low-nutrient settings.

Gerardo Mejia, Angélica Jara-Servin, Cristóbal Hernández-Álvarez, Luis Romero-Chora, Mariana Peimbert, Rocío Cruz-Ortega, Luis D Alcaraz

Abstract read
In one paragraph

Article in FEMS microbiology ecology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Review
  6. Article
  7. Article
  8. 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.

Gerardo MejiaLaboratorio de Genómica Ambiental, Departamento de Biología Celular, Facultad de Ciencias, Universidad Nacional Autónoma de México, 04510 Mexico City, Mexico.ORCID 0009-0001-3391-4939
Angélica Jara-ServinLaboratorio de Genómica Ambiental, Departamento de Biología Celular, Facultad de Ciencias, Universidad Nacional Autónoma de México, 04510 Mexico City, Mexico.ORCID 0000-0002-0699-6289
Cristóbal Hernández-ÁlvarezLaboratorio de Genómica Ambiental, Departamento de Biología Celular, Facultad de Ciencias, Universidad Nacional Autónoma de México, 04510 Mexico City, Mexico.ORCID 0000-0003-2930-5062
Luis Romero-ChoraLaboratorio de Genómica Ambiental, Departamento de Biología Celular, Facultad de Ciencias, Universidad Nacional Autónoma de México, 04510 Mexico City, Mexico.ORCID 0000-0001-8964-4424
Mariana PeimbertDepartamento de Ciencias Naturales, Unidad Cuajimalpa, Universidad Autónoma Metropolitana, 05348 Mexico City, Mexico.ORCID 0000-0002-4881-8587
Rocío Cruz-OrtegaLaboratorio de Alelopatía, Departamento de Ecología Funcional, Instituto de Ecología, Universidad Nacional Autónoma de México, 04510 Mexico City, Mexico.ORCID 0000-0001-9448-6379
Luis D AlcarazLaboratorio de Genómica Ambiental, Departamento de Biología Celular, Facultad de Ciencias, Universidad Nacional Autónoma de México, 04510 Mexico City, Mexico.ORCID 0000-0003-3284-0605

Funding

Universidad Nacional Autónoma de México DGAPA-PAPIIT-UNAM IN206824
6 · The paper itself

Abstract

Studies have suggested that reduced nutrient availability enhances microbial diversity around plant roots, positively impacting plant productivity. However, the specific contributions of rhizosphere microbiomes in nutrient-poor environments still need to be better understood. This study investigates tomato (Solanum lycopersicum L.) root microbiome under low-nutrient conditions. Plants were grown in hydroponics with soil-derived microbial community inoculations. We hypothesized that nutrient limitation would increase the selection of beneficial bacterial communities, compensating for nutrient deficiencies. We identified 12 294 operational taxonomic units across treatments and controls using 16S rRNA gene sequencing. Increased plant biomass was observed in treatments compared to controls, suggesting a role for the microbiome in mitigating nutrient limitations. The relative abundance of genera such as Luteolibacter and Sphingopyxis relative abundance correlated with plant phenotypic traits (P ≤ .05), and their presence was further validated using shotgun metagenomics. We annotated 722 677 protein families and calculated a core set of 48 116 protein families shared across all treatments and assigned them into bacteria (93.7%) and eukaryota (6.2%). Within the core bacterial metagenome, we identified protein families associated with pathways involved in positive plant interactions like the nitrogen fixation. Limited nutrient availability enhanced plant productivity under controlled conditions, offering a path to reduce fertilizer use in agriculture.

Indexed as

BacteriaMicrobiotaNutrientsRhizosphereSoil MicrobiologySolanum lycopersicumBiomassPlant RootsRNA, Ribosomal, 16SNutrientsRNA, Ribosomal, 16S16S rRNA gene sequencingfertilizer reductionlow-nutrient conditionsroot core microbiomeshotgun metagenomicstomato (Solanum lycopersicum L.) hydroponics

Identifiers

PMID39999861
PMCPMC11879582

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.