ArticleThe plant genome2022
Genetic mapping reveals complex architecture and candidate genes involved in common bean response to Meloidogyne incognita infection.
Article in The plant genome, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 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.
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Who cites it
8 citing papers in PubMed.
- Novel quantitative trait loci conferring resistance to root-knot nematodes in lima bean (Molecular breeding : new strategies in plant improvement · 2026Article
- Article
- Developing a model to implement marker-assisted selection for root-knot nematode resistance in common bean.G3 (Bethesda, Md.) · 2025Article
- Combating Root-Knot Nematodes (Plants (Basel, Switzerland) · 2025Review
- Article
- Transcriptome analysis of two tobacco varieties with contrast resistance toFrontiers in plant science · 2023Article
- Genome-wide association studies dissect the genetic architecture of seed shape and size in common bean.G3 (Bethesda, Md.) · 2022Article
- Genetic mapping reveals complex architecture and candidate genes involved in common bean response to Meloidogyne incognita infection.The plant genome · 2022Article
Corrections and comments
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Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Root-knot nematodes (RKNs), particularly Meloidogyne incognita, are among the most damaging and prevalent agricultural pathogens due to their ability to infect roots of almost all crops. The best strategy for their control is through the use of resistant cultivars. However, laborious phenotyping procedures make it difficult to assess nematode resistance in breeding programs. For common bean, this task is especially challenging because little has been done to discover resistance genes or markers to assist selection. We performed genome-wide association studies and quantitative trait loci mapping to explore the genetic architecture and genomic regions underlying the resistance to M. incognita and to identify candidate resistance genes. Phenotypic data were collected by a high-throughput assay, and the number of egg masses and the root-galling index were evaluated. Complex genetic architecture and independent genomic regions were associated with each trait. Single nucleotide polymorphisms on chromosomes Pv06, Pv07, Pv08, and Pv11 were associated with the number of egg masses, and SNPs on Pv01, Pv02, Pv05, and Pv10 were associated with root-galling. A total of 216 candidate genes were identified, including 14 resistance gene analogs and five differentially expressed in a previous RNA sequencing analysis. Histochemical analysis indicated that reactive oxygen species might play a role in the resistance response. Our findings open new perspectives to improve selection efficiency for RKN resistance, and the candidate genes are valuable targets for functional investigation and gene editing approaches.
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