| Literature DB >> 35465040 |
Navdeep Kaur1, Shubham Sharma2, Mirza Hasanuzzaman3, Pratap Kumar Pati1,2.
Abstract
The susceptibility of crop plants towards abiotic stresses is highly threatening to assure global food security as it results in almost 50% annual yield loss. To address this issue, several strategies like plant breeding and genetic engineering have been used by researchers from time to time. However, these approaches are not sufficient to ensure stress resilience due to the complexity associated with the inheritance of abiotic stress adaptive traits. Thus, researchers were prompted to develop novel techniques with high precision that can address the challenges connected to the previous strategies. Genome editing is the latest approach that is in the limelight for improving the stress tolerance of plants. It has revolutionized crop research due to its versatility and precision. The present review is an update on the different genome editing tools used for crop improvement so far and the various challenges associated with them. It also highlights the emerging potential of genome editing for developing abiotic stress-resilient crops.Entities:
Year: 2022 PMID: 35465040 PMCID: PMC9033345 DOI: 10.1155/2022/5547231
Source DB: PubMed Journal: Int J Genomics ISSN: 2314-436X Impact factor: 2.758
Comparison of different types of genome editing tools [142–145].
| Feature | Meganucleases | ZFNs | TALENs | CRISPR/Cas |
|---|---|---|---|---|
| Target site length | 12-40 bp | 18-36 bp | 28-40 bp | 20-22 bp |
| Recognition | Protein recognize DNA | Protein recognize DNA | Protein recognize DNA | RNA protein complex recognize DNA |
| Nuclease protein | I-SceI | FokI | FokI | Cas |
| Dimerization | Not required | Required | Required | Not required |
| Repair events | HDR | NHEJ | HDR | NHEJ |
| Efficiency | Moderate | Low | Moderate | High |
| Specificity | High | Moderate | High | Low |
| Multiplexing | Challenging | Challenging | Challenging | Feasible |
| Cost | High | High | Moderate | Low |
| Ease of engineering | Low | Low | Moderate | High |
Figure 1Schematic representation of the process of genome editing for generating abiotic stress-tolerant plants.
Summary of the different genes used for achieving abiotic stress tolerance in plants using genome editing approach.
| Plant | Targeted Gene | Role of the Gene | Method Used | Stress | Reference |
|---|---|---|---|---|---|
| Rice, Wheat |
| Fatty acid biosynthesis | CRISPR/Cas | Herbicide | [ |
| Tobacco, |
| Biosynthesis of branched amino acids | ZFN, | Herbicide | [ |
| Rice, |
| Biosynthesis of essential aromatic amino acids | CRISPR/Cas | Herbicide | [ |
| Arabidopsis |
| a H+-ATPase | CRISPR/Cas | Drought | [ |
| Rice |
| Abiotic stress responsive transcription factor | CRISPR/Cas | Salinity | [ |
| Maize |
| Negative regulator of ethylene response | CRISPR/Cas | Drought | [ |
| Rice |
| Cold stress responsive transcription factor | CRISPR/Cas | Cold | [ |
| Rice |
| ABA signaling | CRISPR/Cas | Salinity/Drought | [ |
| Rice |
| Ca2+-dependent phospholipid-binding proteins involved in plant development stress responses | CRISPR/Cas | Cold | [ |
| Wheat |
| Dehydration responsive gene | CRISPR/Cas | Drought | [ |
| Lettuce |
| ABA biosynthesis | CRISPR/Cas | Temperature | [ |
| Tomato |
| Cold stress responsive gene | CRISPR/Cas | Cold | [ |
| Rice |
| Transcription factor involved in cytokinin signaling and metabolism | CRISPR/Cas9 | Salinity | [ |
| Rice |
| Zinc finger transcription factor | CRISPR/Cas9 | Salinity/Drought | [ |
| Tomato |
| Key role in plant developmental process and stress amelioration | CRISPR/Cas | Salinity | [ |
| Rice |
| microRNA that regulates the expression of the abiotic stress-responsive gene at the post-transcriptional levels | CRISPR/Cas | Salinity/Drought | [ |
| Rice |
| Panicle length regulating gene, grain size regulating gene, and transcription factor that regulates cold tolerance, respectively | CRISPR/Cas | Cold | [ |
|
|
| Trehalose catabolism | CRISPR/Cas | Drought | [ |