Evidence map›Paper›PMID 41088541›Full record

ArticleThe plant genome2025

Genome-wide association study identifies quantitative trait loci associated with resistance to Verticillium dahliae race 3 in tomato.

Tika B Adhikari, Bode A Olukolu, Anju Pandey, Ashley N Philbrick, Dilip R Panthee, Reza Shekasteband, Randolph G Gardner, Ralph A Dean, Frank J Louws

Erratum issuedAbstract read
In one paragraph

Article in The plant genome, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors.

Tika B AdhikariDepartment of Entomology and Plant Pathology, North Carolina State University, Raleigh, North Carolina, USA.ORCID https://orcid.org/0000-0001-7118-6875
Bode A OlukoluDepartment of Entomology and Plant Pathology, University of Tennessee, Knoxville, Tennessee, USA.ORCID https://orcid.org/0000-0003-4143-8909
Anju PandeyDepartment of Horticultural Science, North Carolina State University, Raleigh, North Carolina, USA.
Ashley N PhilbrickDepartment of Entomology and Plant Pathology, North Carolina State University, Raleigh, North Carolina, USA.
Dilip R PantheeDepartment of Horticultural Science, North Carolina State University, Raleigh, North Carolina, USA.
Reza ShekastebandDepartment of Horticultural Science, North Carolina State University, Raleigh, North Carolina, USA.
Randolph G GardnerDepartment of Horticultural Science, North Carolina State University, Raleigh, North Carolina, USA.
Ralph A DeanDepartment of Entomology and Plant Pathology, North Carolina State University, Raleigh, North Carolina, USA.
Frank J LouwsDepartment of Entomology and Plant Pathology, North Carolina State University, Raleigh, North Carolina, USA.

Funding

North Carolina Tomato Growers Association (NCTGA)United States Department of Agriculture (USDA)-National Institute of Food and Agriculture (NIFA) 2021-51102-35305
6 · The paper itself

Abstract

Verticillium wilt (VW) disease, caused by Verticillium dahliae Kleb., is a major threat to tomato (Solanum lycopersicum L.) production. Identifying loci associated with VW resistance can accelerate breeding efforts and support sustainable disease management. Although the Ve1 and Ve2 genes confer resistance to V. dahliae races 1 and 2, the emergence of race 3 in the United States poses a new challenge. To investigate the genetic basis of quantitative resistance to the race 3 strain KJ14a, we evaluated 250 diverse tomato accessions. Disease severity and incidence were assessed weekly over 5 weeks, using chlorosis/necrosis percentage (CN_perc) and the number of symptomatic leaves (LC) as phenotypes. OmeSeq quantitative reduced-representation sequencing yielded 42,941 high-quality single nucleotide polymorphism and insertion-deletion markers. Genome-wide association study (GWAS) and local linkage disequilibrium analyses identified four candidate genes associated with VW resistance on chromosomes 3, 5, and 7, including two loci mapping to previously reported quantitative trait loci and two novel resistance loci on chromosome 5. The candidate genes are involved in plant defense and the modification of cell walls. To validate and assess the breeding potential of marker-trait associations, we applied GWAS-assisted best linear unbiased prediction (GWABLUP). Using an additive + dominance model and GWABLUP with top 100 associated markers, predictive ability for LC improved by 16.4% and 4.8%, and for CN_perc by 11.7% and 7.9%, compared to standard genomic best linear unbiased prediction using 100 and 18,000 genome-wide markers, respectively. These results offer valuable insights into the genetic architecture of VW resistance to race 3 and demonstrate the potential of combining GWAS and genomic prediction to accelerate tomato breeding for durable disease resistance.

Indexed as

AscomycotaDisease ResistancePlant DiseasesQuantitative Trait LociSolanum lycopersicumGenome-Wide Association StudyLinkage DisequilibriumPhenotypePolymorphism, Single NucleotideVerticillium

Identifiers

PMID41088541
PMCPMC12521801

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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.