Stacking for future: pyramiding genes to improve drought and salinity tolerance in rice
Abstract
Abiotic stresses, such as drought and salinity, adversely affect rice production and cause a severe threat to food security. Conventional crop breeding techniques alone are inadequate for achieving drought stress tolerance in crop plants. Using transgenic technology, incremental improvements in tolerance to drought and salinity have been successfully attained via manipulation of gene(s) in several crop species. However, achieving the goal via pyramiding multiple genes from the same or different tolerance mechanisms has received little attention. Pyramiding of multiple genes can be achieved either through breeding, by using marker-assisted selection, or by genetic engineering through molecular stacking co-transformation or re-transformation. Transgene stacking into a single locus has added advantages over breeding or re-transformation since the former assures co-inheritance of genes, contributing to more effective tolerance in transgenic plants for generations. Drought, being a polygenic trait, the potential candidate genes for gene stacking are those contributing to cellular detoxification, osmolyte accumulation, antioxidant machinery, and signaling pathways. Since cellular dehydration is inbuilt in salinity stress, manipulation of these genes results in improving tolerance to salinity along with drought in most of the cases. In this review, attempts have been made to provide a critical assessment of transgenic plants developed through transgene stacking and approaches to achieve the same. Identification and functional validation of more such candidate genes is needed for research programs targeting the gene stacking for developing crop plants with high precision in the shortest possible time to ensure sustainable crop productivity under marginal lands.
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Pyramiding of genes associated with drought tolerance, salinity resistance, and nutrient acquisition has enhanced the overall resilience of crops like rice and maize.
“The pyramiding of genes associated with drought tolerance, salinity resistance, and nutrient acquisition has enhanced the overall resilience of crops like rice and maize (Pang et al., 2017; Shailani et al., 2020).”
From Emerging applications of gene editing technologies for the development of climate-resilient crops (2025) · cites this paper as Shailani et al., 2020
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Emerging applications of gene editing technologies for the development of climate-resilient crops
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“The pyramiding of genes associated with drought tolerance, salinity resistance, and nutrient acquisition has enhanced the overall resilience of crops like rice and maize (Pang et al., 2017; Shailani et al., 2020).”
- Authors
- Shailani, A., Joshi, R., Singla‐Pareek, S. L., & Pareek, A.
- Affiliations
- Jawaharlal Nehru University (IN)
- Plant Stress Biology International Centre for Genetic Engineering and Biotechnology New Delhi India
- Corresponding author
- Pareek, Ashwani
- Venue
- Physiologia Plantarum
- Publisher
- Wiley
- Published
- 2020-11-21
- Volume
- 172
- Issue
- 2
- Pages
- 1352-1362
- ISSN
- 0031-9317 (ISSN-L)
- 1399-3054
- OpenAlex
- W3103149532
- Cited by
- 65
- References
- 96
- Citations by year
- 2026: 5 · 2025: 14 · 2024: 12 · 2023: 13 · 2022: 15 · 2021: 6
- FWCI
- 0.72
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Physiologia Plantarum (publishedVersion)
- PubMed (publishedVersion)
- Funders
- International Atomic Energy Agency
- Topics
- Life Sciences › Agricultural and Biological Sciences › Plant Science › Plant Stress Responses and Tolerance
- Life Sciences › Agricultural and Biological Sciences › Plant Science › Rice Cultivation and Yield Improvement
- Life Sciences › Agricultural and Biological Sciences › Plant Science › Genetics and Plant Breeding
- Keywords
- gene stacking, transgene stacking, drought tolerance, salt tolerance, rice, abiotic stress, marker-assisted selection, co-transformation, candidate genes, osmolyte accumulation, antioxidant machinery, cellular detoxification, stress signaling pathways, genetically modified crops
- MeSH terms
- Plant Breeding, Oryza, Stress, Physiological, Plants, Genetically Modified, Salinity, Salt Tolerance, Droughts
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Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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