| Literature DB >> 28713567 |
Leena Tripathi1, Howard Atkinson2, Hugh Roderick2, Jerome Kubiriba3, Jaindra N Tripathi1.
Abstract
Banana is an important staple food crop feeding more than 100 million Africans, but is subject to severe productivity constraints due to a range of pests and diseases. Banana Xanthomonas wilt caused by Xanthomonas campestris pv. musacearum is capable of entirely destroying a plantation while nematodes can cause losses up to 50% and increase susceptibility to other pests and diseases. Development of improved varieties of banana is fundamental in order to tackle these challenges. However, the sterile nature of the crop and the lack of resistance in Musa germplasm make improvement by traditional breeding techniques either impossible or extremely slow. Recent developments using genetic engineering have begun to address these problems. Transgenic banana expressing sweet pepper Hrap and Pflp genes have demonstrated complete resistance against X. campestris pv. musacearum in the field. Transgenic plantains expressing a cysteine proteinase inhibitors and/or synthetic peptide showed enhanced resistance to a mixed species population of nematodes in the field. Here, we review the genetic engineering technologies which have potential to improve agriculture and food security in Africa.Entities:
Keywords: Africa; Banana; Xanthomonas wilt; genetic engineering; improvement; nematode
Year: 2017 PMID: 28713567 PMCID: PMC5488630 DOI: 10.1002/fes3.101
Source DB: PubMed Journal: Food Energy Secur ISSN: 2048-3694 Impact factor: 4.109
List of genes introduced to various crops for developing resistance to bacterial disease and nematodes
| Resistance Technology/Target Gene | Origin | Target Organism | Crop | Mode of Action | Resistance | References | |
|---|---|---|---|---|---|---|---|
| Green house | Field | ||||||
|
| |||||||
|
| Sweet pepper |
| Banana | Hypersensitivity Response | Full | Full | Tripathi et al. ( |
|
| Sweet pepper |
| Banana | Hypersensitivity Response | Full | Full | Namukwaya et al. ( |
|
| Rice |
| Banana | Pathogen Recognition | Full | – | Tripathi et al. ( |
|
| Tomato |
| Tomato | Resistance (R) Gene | Enhanced | – | Tang et al. ( |
|
| Sweet pepper |
| Tomato | Resistance (R) Gene | Enhanced | – | Tai et al. ( |
|
| Maize |
| Rice | Resistance (R) Gene | Enhanced | – | Zhao et al. ( |
|
| Arabidopsis |
| Rice | Systemic Acquired Resistance | Enhanced | – | Chern et al. ( |
|
| Rice |
| Rice | Systemic Acquired Resistance | Enhanced | – | Yuan et al. ( |
|
| Arabidopsis |
| Tomato | Pathogen Recognition | Enhanced | – | Lacombe et al. ( |
| D4E1 | Synthetic |
| Popular | Cecropin Antimicrobial Peptide | Enhanced | – | Mentag et al. ( |
|
| |||||||
|
| Maize |
| Plantain | Antifeedant | 84% | 98% | Roderick et al. ( |
| Peptide | Synthetic |
| Plantain | Behavioral Repellent | 66% | 99% | Roderick et al. ( |
|
| Synthetic |
| Plantain | As above | 70% | 95% | Roderick et al. ( |
| OcIΔD86 | Rice |
| Banana | Antifeedant | 70% | – | Atkinson et al. ( |
|
|
|
| Tomato | Bt Toxin | 64% | – | Li et al. ( |
|
|
|
|
| RNAi | 93% | – | Huang et al. ( |
|
|
|
| Soybean | RNAi | 82% | – | Ibrahim et al. (2010) |
|
|
|
| Soybean | RNAi | 85% | – | Ibrahim et al. (2010) |
|
|
|
| Tobacco | RNAi | 73% | – | Li et al. ( |
|
|
|
| Tomato | RNAi | 75% | – | Li et al. ( |
| Splicing Factor |
|
| Tobacco | RNAi | 100% | – | Yadav et al. ( |
| Integrase |
|
| Tobacco | RNAi | 99% | – | Yadav et al. ( |
|
|
|
| Tobacco | RNAi | 50% | – | Papolu et al. ( |
|
|
|
| Tobacco | RNAi | 58% | – | Papolu et al. ( |
Full – transgenic lines identified with full resistance to bacterial pathogen, and Enhanced – transgenic lines identified with reduced disease symptoms. Best line percentage resistance to nematodes calculated from nematodes/100 g root relative to infected nontransgenic control plants.
Figure 1Stacked columns of cumulative percentage resistance (mean ± SEM) for the periods vegetative growth, flowering, and harvest (i.e., Line D30 had 22% resistance at vegetative sampling, 61% resistance at flowering sampling, and 80% resistance at harvest flowering) for 12 transgenic lines relative to the control plants to which nematodes were added before planting (+nem). Data are based on Tripathi et al. 2015. The expressed transgenes in the independent, transgenic events are as follow: C, cystatin; P, peptide; and D, both C and P.
Figure 2Gartner Hype cycle applied to development of Bt technology for transgenic insect control (solid line) and nematode resistance (dashed line and squares) expressed as percentage of the highest citation value in the peak of inflated expectations. The search terms used for Bt technology were “Bt + insect + crop” followed by stepped addition of “field”, then “yield”, then “benefit”, and finally “Bt grower + society”. For nematode resistance, these were “nematode + transgenic” followed by stepped addition of “crop”, then “field”, then “yield”, and finally “improved”. Estimated time to plateau of productivity for Bt technology; light‐gray triangle, >10 years; gray circle <5–10 years; and open circles <2 years or on plateau. †, Herring 2015; *, James 2014.