Sign in
Plant BiologybioRxiv
Preprint

High-resolution mapping and epistatic QTL of tomato fruit metabolism

Esra KarakaşiD, Micha Wijesingha AhchigeiD, Dan Qian, Shai TorgemaniD, Björn UsadeliD, Dani ZamiriD, Alisdair Robert FernieiD, Saleh AlseekhiD

Abstract

Tomato wild relatives are valuable genetic resources for trait discovery and understanding the genetic basis of fruit metabolism and quality. Yet, only a fraction of naturally occurring variation has been exploited. Here, we performed metabolite profiling of two large Backcross Inbred Line populations derived from crosses between the wild species S. pennellii accession LA5240 (Lost) and cultivated genotypes LEA (determinate) and TOP (indeterminate), including [~]1400 and [~]500 lines, respectively. High-resolution mapping identified enormous metabolic quantitative trait loci (mQTL), including a new locus on chromosome 12 associated with fruit sucrose accumulation that harbours INVERTASE INHIBITOR 3 (SlINVINH3) protein. Comparative analysis indicated that SlINVINH3 is highly expressed in wild S. pennellii 0716 fruit, whereas a six-amino acid deletion is present in its coding sequence compared with S.pennellii LA5240 and S. lycopersicum. We further demonstrated that in SlINVINH3-overexpressing tomato plants, only the S. pennellii LA5240 allele led to increased sucrose, accompanied by reduced fructose and glucose levels. Furthermore, the large population size enabled us to assess the epistatic interactions, with approximately 40% of interactions being more-than-additive and 60% less-than-additive. Our results demonstrate the power of permanent exotic populations to reveal hidden metabolic diversity and provide an approach for improving fruit quality through targeted breeding and metabolic engineering.

PDFDOI

02 /Specification & Classification

Click any tag to browse matching papers

Reproducibility ledger

Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.

Sign in to file a reproducibility report.

Similarity Map
SelectedSame fieldCross-field
THISFulop '16Wang '20Wu '24Kuhalskaya '24Gabelli '26Leong '18
68% semantic matchPlant Biology
Daniel Fulop, Aashish Ranjan, Itai Ofner+8 more·G3 Genes|Genomes|Genetics·Oct 1, 2016