Evidence map›Paper›PMID 40988004›Full record

ArticleTAG. Theoretical and applied genetics. Theoretische und angewandte Genetik2025

Genome-wide meta-QTL approach identifies consensus loci associated with agriculturally important tomato fruit traits.

Maryam Rashidzade, Moein Shajari, Jacob Barnett, Hamid Razifard, Ana L Caicedo

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Article in TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

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5 authors.

Maryam RashidzadeGraduate Program in Plant Biology, University of Massachusetts, Amherst, MA, USA. mrashidzade@umass.edu.ORCID http://orcid.org/0009-0004-6374-0871
Moein ShajariGraduate Program in Physiology and Breeding of Vegetables, University of Tehran, Karaj, Alborz, Iran.ORCID http://orcid.org/0009-0005-5840-1039
Jacob BarnettGraduate Program in Organismic and Evolutionary, University of Massachusetts, Amherst, MA, USA.ORCID http://orcid.org/0000-0002-4213-4010
Hamid RazifardSchool of Integrative Plant Sciences, Cornell University, Ithaca, NY, USA.ORCID http://orcid.org/0000-0002-6343-3052
Ana L CaicedoDepartment of Biology, University of Massachusetts, Amherst, MA, USA.ORCID http://orcid.org/0000-0002-0378-6374

Funding

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6 · The paper itself

Abstract

key messageUsing 82 different QTL mapping populations investigated in prior studies, we identified 99 high-confidence meta-QTL regions along with potential candidate genes associated with fruit quality traits in tomato. The genetic analysis of economically important quantitative traits is essential for the development of new cultivars that exhibit improved yield and quality, including disease resistance and enhanced flavor. Meta-QTL (MQTL) analyses allow for the integration of QTL data from multiple independent studies, revealing chromosomal regions consistently associated with traits of interest. In this study, we identified reliable and consistent QTLs for eight agronomically important fruit traits in the cultivated tomato through MQTL analysis of 1,438 QTLs reported in 82 independent mapping populations. Our analysis helped identify 99 consensus MQTLs, distributed across all 12 tomato chromosomes, with almost 4 times narrower confidence intervals (CI) than in the original studies. We identified the most promising candidate genes (CGs) located within each MQTL interval based on the potential function of their orthologous genes in Arabidopsis thaliana. These newly identified CGs complement previously characterized genes and candidate genes with GWAS signals from prior studies. Our research has identified consistent QTLs and CGs in unstressed conditions, offering valuable resources for enhancing fruit-related traits. We further discuss these CGs regarding their potential to improve fruit-related traits in tomato breeding programs.

Indexed as

FruitQuantitative Trait LociSolanum lycopersicumChromosome MappingChromosomes, PlantGenes, PlantGenome-Wide Association StudyPhenotype

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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.