# Decrypting molecular mechanism of heat stress tolerance in rice to tackle climate change challenges through recent approaches

**Authors:** Neeraj Kumar, Seyed Mahdi Hosseiniyan Khatibi, Deepak Sharma, Faraz Azeem, Ganesh Kumar Koutu, Jauhar Ali

PMC · DOI: 10.3389/fpls.2025.1722694 · Frontiers in Plant Science · 2026-02-05

## TL;DR

This paper reviews how rice is affected by heat stress and explores new strategies to develop heat-tolerant rice varieties.

## Contribution

The paper synthesizes recent advances in understanding heat stress tolerance in rice and highlights emerging tools like microbiome and AI.

## Key findings

- Heat stress impacts rice reproduction, causing pollen sterility and reduced yield.
- Omics approaches reveal genes and pathways involved in heat tolerance.
- Microbiome and AI are promising tools for breeding heat-resilient rice.

## Abstract

Rice (Oryza sativa) is one of the world’s most important cereal crops, contributing to food and financial security, particularly in developing countries. High temperature due to climate change seriously threatens sustainable rice production. Rice crops are adversely affected by heat stress at the morphological, physiological, and molecular levels, resulting in reduced yield and poor grain quality. Rice is highly sensitive to heat during the reproductive phase, causing pollen sterility, impaired pollen dehiscence, pollen germination, and tube growth, ultimately drastically reducing spikelet sterility and yield. High temperature also promotes the accumulation of reactive oxygen species in plant cells, resulting in multiple adverse effects, including damage to chloroplasts and cell membranes, inactivation of photosystems, reduced Rubisco activity, and impaired production of photoassimilates. In this review, we have synthesized the current knowledge on the effects of heat stress on rice and summarized QTLs, genes, and regulatory pathways underlying thermotolerance. We further evaluate conventional breeding, transgenics, and diverse omics-based strategies to breed high-yielding, heat-tolerant rice varieties. The precise molecular insights gained through various omics approaches are expected to advance our understanding of the intricate nature of heat stress tolerance in rice. Additionally, we highlight the emerging roles of microbiome, high-throughput phenotyping technologies, and artificial intelligence as promising tools for accelerating the development of heat-resilient rice.

## Linked entities

- **Species:** Oryza sativa (taxon 4530)

## Full-text entities

- **Genes:** psbA [NCBI Gene 29141328]
- **Diseases:** spikelet sterility (MESH:D007246), pollen sterility (MESH:D006255), toxicity (MESH:D064420), HTS (MESH:D000079225), drought (MESH:C536747), growth retardation (MESH:D006130), sugar deficiency (MESH:D007787), Photosystem II (PSII) complex impairment (MESH:C565375), HS (MESH:D018882), hypersensitivity (MESH:D004342), HT (MESH:D000377)
- **Chemicals:** PIP2 (MESH:D019269), N (MESH:D009584), amino acids (MESH:D000596), thiamine (MESH:D013831), fumaric acid (MESH:C032005), pectin (MESH:D010368), Polyols (MESH:C024617), Ethylene (MESH:C036216), carbohydrate (MESH:D002241), fatty acid (MESH:D005227), MDA (MESH:D008315), Polyacrylamide (MESH:C016679), methyl jasmonates (MESH:C072239), vindolines (MESH:C009667), carbon (MESH:D002244), amylopectin (MESH:D000687), Ch (MESH:D002734), phosphatidic acid (MESH:D010712), wax (MESH:D014885), Starch (MESH:D013213), phenylalanine (MESH:D010649), TCA (MESH:D014238), mannose (MESH:D008358), ABA (MESH:D000040), Melatonin (MESH:D008550), amylose (MESH:D000688), proline (MESH:D011392), succinic acid (MESH:D019802), raffinose (MESH:D011887), H2O2 (MESH:D006861), pyruvic acid (MESH:D019289), Ca2+ (-), aromatic amino acid (MESH:D024322), betaine (MESH:D001622), salicylic acid (MESH:D020156), eicosatetraenoic acid (MESH:D001095), glycerophospholipids (MESH:D020404), sugar (MESH:D000073893), unsaturated fatty acids (MESH:D005231), PLP (MESH:D011732), IAA (MESH:C030737), anthocyanin (MESH:D000872), spermidine (MESH:D013095), alkaloids (MESH:D000470), ascorbic acid (MESH:D001205), Cyclic nucleotide (MESH:D009712), BRs (MESH:D060406), GA (MESH:D005708), lysine (MESH:D008239), branched chain amino acids (MESH:D000597), ROS (MESH:D017382), calcium (MESH:D002118), glycine (MESH:D005998), auxins (MESH:D007210), L-threonine (MESH:D013912), asparagine (MESH:D001216), malic acid (MESH:C030298), flavonoid (MESH:D005419), arabitol (MESH:C014999), jasmonic acid (MESH:C011006)
- **Species:** Bacteria Latreille et al. 1825 (Bacteria stick insect, genus) [taxon 629395], Homo sapiens (human, species) [taxon 9606], Oryza sativa Indica Group (Indian rice, no rank) [taxon 39946], Oryza longistaminata (longstamen rice, species) [taxon 4528], Glycine max (soybean, species) [taxon 3847], Arabidopsis thaliana (mouse-ear cress, species) [taxon 3702], Festuca elata (species) [taxon 464049], Oryza officinalis (species) [taxon 4535], Oryza rufipogon (brownbeard rice, species) [taxon 4529], Oryza sativa (Asian cultivated rice, species) [taxon 4530], Oryza sativa Japonica Group (Japanese rice, no rank) [taxon 39947]
- **Cell lines:** IR64 — Homo sapiens (Human), Transformed cell line (CVCL_ZD54), NERICA-L-44 — Mus musculus (Mouse), Hybridoma (CVCL_XK75)

## Full text

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## Figures

7 figures with captions in the complete paper: https://tomesphere.com/paper/PMC12916424/full.md

## References

385 references — full list in the complete paper: https://tomesphere.com/paper/PMC12916424/full.md

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Source: https://tomesphere.com/paper/PMC12916424