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Genome Editing and Improvement of Abiotic Stress Tolerance in Crop Plants
Open accessAbstract
Genome editing aims to revolutionise plant breeding and could assist in safeguarding the global food supply. The inclusion of a 12-40 bp recognition site makes mega nucleases the first tools utilized for genome editing and first generation gene-editing tools. Zinc finger nucleases (ZFNs) are the second gene-editing technique, and because they create double-stranded breaks, they are more dependable and effective. ZFNs were the original designed nuclease-based approach of genome editing. The Cys2-His2 zinc finger domain's discovery made this technique possible. Clustered regularly interspaced short palindromic repeats (CRISPR) are utilized to improve genetics, boost biomass production, increase nutrient usage efficiency, and develop disease resistance. Plant genomes can be effectively modified using genome-editing technologies to enhance characteristics without introducing foreign DNA into the genome. Next-generation plant breeding will soon be defined by these exact breeding methods. There is abroad promise that genome-edited crops will be essential in the years to come for improving the sustainability and climate-change resilience of food systems. This method also has great potential for enhancing crops' resistance to various abiotic stressors. In this review paper, we summarize the most recent findings about the mechanism of abiotic stress response in crop plants and the use of the CRISPR/Cas mediated gene-editing systems to improve tolerance to stresses including drought, salinity, cold, heat, and heavy metals.
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“Using CRISPR/Cas9 gene editing technologies, barley abiotic stress tolerance has been enhanced by targeting specific genes associated with drought and salinity resistance (Karunarathne et al., 2023; Yadav et al., 2023).”
From Emerging applications of gene editing technologies for the development of climate-resilient crops (2025) · cites this paper as Yadav et al., 2023
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“Gene pyramiding has been effectively demonstrated in several crops, including rice, maize, and barley.”
From Emerging applications of gene editing technologies for the development of climate-resilient crops (2025) · cites this paper as Yadav et al., 2023
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Metadata
- Authors
- Yadav, R. K., Tripathi, M. K., Tiwari, S., Tripathi, N., Asati, R., Chauhan, S., Tiwari, P. N., & Payasi, D. K.
- Affiliations
- Department of Genetics & Plant Breeding, College of Agriculture, Rajmata Vijayaraje Scindia Krishi Vishwa Vidyalaya, Gwalior 474002, India
- Jawaharlal Nehru Krishi Vishwa Vidyalaya (IN)
- Department of Plant Molecular Biology & Biotechnology, College of Agriculture, Rajmata Vijayaraje Scindia Krishi Vishwa Vidyalaya, Gwalior 474002, India
- Regional Agricultural Research Station, Sagar 470001, India
- Corresponding author
- Tripathi, Manoj Kumar
- Tripathi, Niraj
- ORCID
- Venue
- Life
- Publisher
- MDPI AG
- Published
- 2023-06-27
- Volume
- 13
- Issue
- 7
- Pages
- 1456
- ISSN
- 2075-1729 (ISSN-L)
- PMC
- PMC10381907
- OpenAlex
- W4382402562
- Cited by
- 75
- References
- 272
- Citations by year
- 2026: 23 · 2025: 37 · 2024: 10 · 2023: 5
- FWCI
- 1.98
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Life (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › CRISPR and Genetic Engineering
- Life Sciences › Agricultural and Biological Sciences › Plant Science › Plant Stress Responses and Tolerance
- Life Sciences › Agricultural and Biological Sciences › Plant Science › Genetically Modified Organisms Research
- Keywords
- genome editing, abiotic stress tolerance, CRISPR-Cas, zinc finger nucleases, meganucleases, drought tolerance, salt tolerance, cold tolerance, heat tolerance, heavy metal tolerance, abiotic stress response, crop improvement, plant breeding
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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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