SynthesisPlanta2025
Scientific insights into genetic and physiological response of heat stress in tomato.
Synthesis in Planta, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
3 citing papers in PubMed.
- Morphological, Phytochemical, and Molecular Characterization of Advanced Tomato Lines Under Heat Stress Conditions.Plant-environment interactions (Hoboken, N.J.) · 2026Article
- Metabolism and Yield of Grape-Tomato Hybrids Under Heat Stress in an Innovative Protected Environment Using Twin-Walled Polycarbonates with Laminar Water Flow.Metabolites · 2026Article
- Integrating combining ability and multivariate analysis for the selection of superior tomato hybrids.Frontiers in plant science · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
MAIN
conclusionThis study is a systematic review of heat stress-driven changes in tomato morphology and physiology, thermotolerance mechanisms, and crop improvement methods. Tomato is a widely cultivated and utilized crop. However, climate change poses a direct threat to food systems by diminishing the productivity and indirectly limiting the genetic diversity of crops and their wild relatives. Consequently, this limits future options for breeding improved varieties and makes it harder to adapt crops to new challenges. This is particularly concerning as the average global surface temperature is anticipated to increase by 0.3 °C over the next 10 years. Because of their sessile nature, tomato plants have developed complex signalling networks that allow them to detect changes in ambient temperature. However, high-temperature stress can negatively impact the morphology, physiology, and biochemistry of tomato plants at every stage of development, from vegetative to reproductive. This heat stress leads to significant yield losses due to induced changes in crop phenology, growth patterns, sensitivity to pests, shrinkage of the maturity period, and accelerated senescence. Finding novel sources of heat tolerance and identifying the genes involved in those pathways have become significant challenges in the modern era due to global warming. This complexity is further increased by significant genotype-environment and epistatic interactions, making it difficult for breeders to develop and select heat-tolerant genotypes. The current review aims to provide insights into physiological processes related to heat stress, the molecular underpinnings of tomato heat tolerance, germplasm and quantitative trait loci governing tolerance, and the different crop improvement techniques utilized in breeding for heat tolerance of tomato. Deciphering various physiological processes and the development of different breeding techniques are critical to assist in the evolution of thermotolerant tomato cultivars.
Indexed as
Identifiers
41351711What OpenQuestion holds
Registered trials
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.