ReviewGenes2019
Tomato Natural Resistance Genes in Controlling the Root-Knot Nematode.
Review in Genes, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers.
What it found
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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.
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.
Who cites it
38 citing papers in PubMed.
- Review
- Domestication-associated reduction of methyl salicylate in tomato root and its significance for resistance to root-knot nematode.The New phytologist · 2026Article
- Grasping Molecular Biology Mechanisms to Optimize Plant Resistance and Advance Microbiome Role Against Phytonematodes.International journal of molecular sciences · 2026Review
- Status and advancement of root-knot nematode management strategies and the emerging CRISPR/Cas biotechnology application.Functional & integrative genomics · 2026Review
- Transcriptome-based resistance analysis of susceptible and resistant tomato cultivars againstFrontiers in plant science · 2026Article
- Combating Root-Knot Nematodes (Plants (Basel, Switzerland) · 2025Review
- Insights into the Genetics Underlying the Resistance to Root-Knot Nematode Reproduction in the Common Bean Ouro Negro.Plants (Basel, Switzerland) · 2025Article
- In Vitro Study on Nematicidal Effect of Silver Nanoparticles AgainstMolecules (Basel, Switzerland) · 2025Article
- Evaluation ofJournal of nematology · 2025Article
- Reusing waste biomass in crop protection-Calcinated oyster shell powder enhances rhizospheric microbial-mediated suppression of root-knot nematodes.Frontiers in microbiology · 2025Article
- Unraveling the enigma of root-knot nematodes: from origins to advanced management strategies in agriculture.Planta · 2024Review
- Unraveling the Roles of Neuropeptides in the Chemosensation of the Root-Knot NematodeInternational journal of molecular sciences · 2024Article
- Revolutionizing nematode management to achieve global food security goals - An overview.Heliyon · 2024Review
- Nanoparticles: a promising tool against environmental stress in plants.Frontiers in plant science · 2024Review
- Using fungal-bacterial community analysis to explore potential microbiomes to manageFrontiers in microbiology · 2024Article
- Comparative histopathology of virulent and avirulentFrontiers in plant science · 2024Article
- Review
- Marker assisted early generation identification of root knot disease resistant orange tomato segregants with multiple desirable alleles.Physiology and molecular biology of plants : an international journal of functional plant biology · 2023Article
- Chromosome-scale genome assembly-assisted identification of Mi-9 gene in Solanum arcanum accession LA2157, conferring heat-stable resistance to Meloidogyne incognita.Plant biotechnology journal · 2023Article
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The root-knot nematode (RKN) is one of the most dangerous and widespread types of nematodes affecting tomatoes. There are few methods for controlling nematodes in tomatoes. Nature resistance genes (R-genes) are important in conferring resistance against nematodes. These genes that confer resistance to the RKN have already been identified as
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.