Evidence map›Paper›PMID 42032014›Full record

ArticleScientific reports2026

Genome-wide identification of eQTL-associated lncRNAs in melon and their role in fruit cracking.

Parisa Mohammadi, Aboozar Soorni

Abstract read
In one paragraph

Article in Scientific reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

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

2 authors.

Parisa MohammadiDepartment of Biotechnology, College of Agriculture, Isfahan University of Technology, Isfahan, 84156-83111, Iran.
Aboozar SoorniDepartment of Biotechnology, College of Agriculture, Isfahan University of Technology, Isfahan, 84156-83111, Iran. soorni@iut.ac.ir.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Melon (Cucumis melo L.) is an economically important crop whose production is severely affected by fruit cracking, a disorder that leads to substantial post-harvest losses. While environmental factors are known contributors, the roles of long non-coding RNAs (lncRNAs), SNPs, and eQTLs in melon cracking remain poorly understood. This study aimed to characterize these molecular regulators to elucidate their functions in cracking susceptibility. Through transcriptome analysis of 112 melon recombinant inbred lines (RILs), we identified 341 high-confidence lncRNAs. Functional enrichment linked them to metabolic processes, cell wall remodeling, and stress responses. Co-expression networks revealed interactions between lncRNAs and key transcription factors (MYB, WRKY, NAC) and cell wall-related genes (EXP, XTH, AQP). eQTL analysis identified 10 lncRNAs associated with fruit cracking, with two (MSTRG.4395 and MSTRG.623) showing strong regulatory links to auxin-related (ILR1) and calcium-signaling (calmodulin) genes. SNPs in these loci significantly influenced lncRNA expression, suggesting roles in hormonal and structural pathways affecting cracking. This study provides the first genome-wide characterization of lncRNAs and eQTLs in melon fruit cracking, uncovering their regulatory roles in cell wall integrity, hormone signaling, and stress response. The identified lncRNA-mRNA networks and candidate SNPs offer potential molecular markers for breeding crack-resistant melon varieties, contributing to sustainable agriculture and reduced post-harvest losses.

Indexed as

Cucumis meloCucurbitaceaeFruitQuantitative Trait LociRNA, Long NoncodingCell WallGene Expression ProfilingGene Expression Regulation, PlantGene Regulatory NetworksGenome-Wide Association StudyPolymorphism, Single NucleotideRNA, Long Noncodingcell wall metabolismco-expression networksCucumis meloeQTLsfruit crackinglncRNAsSNP

Identifiers

PMID42032014
PMCPMC13275910

What Socratic holds

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LicenceCC BY-NC-ND
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Registered trials

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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 Socratic graph.