# Exploring ddRAD sequencing data of tomato genotypes evaluated for the heat stress tolerance

## TL;DR

This study uses ddRAD sequencing to analyze 27 tomato genotypes for heat stress tolerance, providing genomic data to support breeding for climate resilience.

## Contribution

The study provides a genomic resource for identifying candidate genes and variants in tomato genotypes under heat stress.

## Key findings

- ddRAD sequencing was used to generate genomic data from 27 tomato genotypes evaluated for heat stress tolerance.
- A VCF file was created to report polymorphisms among the genotypes, supporting future breeding and research efforts.
- The raw sequencing data is publicly available in the SRA database for further analysis.

## Abstract

Climate change is a major concern for agricultural crops, and the selection of tolerant genotypes in response to abiotic stresses represents an important breeding strategy to reduce yield losses. In addition, the continuous development of new and more accurate high-throughput technologies for the analysis of DNA sequences is the key to improve biological understanding and application of biological knowledge. In the present work, 27 tomato genotypes already evaluated for their response under high temperature conditions were sequenced by using the ddRAD sequencing technology. The main goal was to provide genomic data useful for identifying candidate genes and variants to cope with current climate changes. Total genomic DNA was extracted from leaves and sequenced on the HiSeq2500 Illumina instrument. Raw reads of the dataset were processed using different bioinformatics tools to generate a Variant Calling Format (VCF) file. The availability of resources reporting polymorphisms among genomes of different genotypes provides a useful basis for studying tomato tolerance to current climate changes and can be used by researchers and breeders to investigate the molecular response mechanisms and develop new breeding programs, also aided by Marked Assisted Selection (MAS). The raw reads were deposited into SRA database (https://www.ncbi.nlm.nih.gov/sra/PRJNA1137563).