Evidence map›Paper›PMID 38783170›Full record

ArticleBMC genomics2024

Exploring the gene expression network involved in the heat stress response of a thermotolerant tomato genotype.

Salvatore Graci, Riccardo Aiese Cigliano, Amalia Barone

Abstract read
In one paragraph

Article in BMC genomics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Genome-Wide Identification of theInternational journal of molecular sciences · 2024
    Article
4 · The record

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PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Salvatore GraciDepartment of Agricultural Sciences, University of Naples Federico II, Portici, Naples, Italy.
Riccardo Aiese CiglianoSequentia Biotech SL, C/ del Dr. Trueta 179, Barcelona, 08005, Spain. raiesecigliano@sequentiabiotech.com.
Amalia BaroneDepartment of Agricultural Sciences, University of Naples Federico II, Portici, Naples, Italy. ambarone@unina.it.

Funding

Agritech National Research Center Piano Nazionale di Ripresa e Resilienza (PNRR)-Missione 4 Componente 2, Investimento 1.4-D.D. 1032 17/06/2022, CN00000022
6 · The paper itself

Abstract

backgroundThe increase in temperatures due to the current climate change dramatically affects crop cultivation, resulting in yield losses and altered fruit quality. Tomato is one of the most extensively grown and consumed horticultural products, and although it can withstand a wide range of climatic conditions, heat stress can affect plant growth and development specially on the reproductive stage, severely influencing the final yield. In the present work, the heat stress response mechanisms of one thermotolerant genotype (E42) were investigated by exploring its regulatory gene network. This was achieved through a promoter analysis based on the identification of the heat stress elements (HSEs) mapping in the promoters, combined with a gene co-expression network analysis aimed at identifying interactions among heat-related genes.

resultsResults highlighted 82 genes presenting HSEs in the promoter and belonging to one of the 52 gene networks obtained by the GCN analysis; 61 of these also interact with heat shock factors (Hsfs). Finally, a list of 13 candidate genes including two Hsfs, nine heat shock proteins (Hsps) and two GDSL esterase/lipase (GELPs) were retrieved by focusing on those E42 genes exhibiting HSEs in the promoters, interacting with Hsfs and showing variants, compared to Heinz reference genome, with HIGH and/or MODERATE impact on the translated protein. Among these, the Gene Ontology annotation analysis evidenced that only LeHsp100 (Solyc02g088610) belongs to a network specifically involved in the response to heat stress.

conclusionsAs a whole, the combination of bioinformatic analyses carried out on genomic and trascriptomic data available for tomato, together with polymorphisms detected in HS-related genes of the thermotolerant E42 allowed to determine a subset of candidate genes involved in the HS response in tomato. This study provides a novel approach in the investigation of abiotic stress response mechanisms and further studies will be conducted to validate the role of the highlighted genes.

Indexed as

Gene Expression Regulation, PlantGene Regulatory NetworksGenotypeHeat-Shock ResponsePromoter Regions, GeneticSolanum lycopersicumThermotoleranceGene Expression ProfilingHeat-Shock ProteinsPlant ProteinsHeat-Shock ProteinsPlant ProteinsAbiotic stressCandidate genesGDSL esterase/lipaseGene co-expression networkHeat shock factorsHeat shock proteinsHigh temperaturesSolanum lycopersicum

Identifiers

PMID38783170
PMCPMC11112777

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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.