| Title |
Co-transformation mediated stacking of blast resistance genes Pi54 and Pi54rh in rice provides broad spectrum resistance against Magnaporthe oryzae
|
|---|---|
| Published in |
Plant Cell Reports, September 2017
|
| DOI | 10.1007/s00299-017-2189-x |
| Pubmed ID | |
| Authors |
Mandeep Kumari, Amit Kumar Rai, B. N. Devanna, Pankaj Kumar Singh, Ritu Kapoor, H. Rajashekara, G. Prakash, Vinay Sharma, Tilak Raj Sharma |
| Abstract |
This is the first report of stacking two major blast resistance genes in blast susceptible rice variety using co-transformation method to widen the resistance spectrum against different isolates of Magnaporthe oryzae. Single resistance (R-) gene mediated approach for the management of rice blast disease has met with frequent breakdown in resistance response. Besides providing the durable resistance, gene pyramiding or stacking also imparts broad spectrum resistance against plant pathogens, including rice blast. In the present study, we stacked two R-genes; Pi54 and Pi54rh having broad spectrum resistance against multiple isolates of Magnaporthe oryzae (M. oryzae). Both Pi54 and Pi54rh expressed under independent promoters were transferred into the blast susceptible japonica rice Taipei 309 (TP309) using particle gun bombardment method. Functional complementation analysis of stacked transgenic rice lines showed higher level of resistance to a set of highly virulent M. oryzae isolates collected from different rice growing regions. qRT-PCR analysis has shown M. oryzae induced expression of both the R-genes in stacked transgenic lines. The present study also demonstrated the effectiveness of the strategy for rapid single step gene stacking using co-transformation approach to engineer durable resistance against rice blast disease and also this is the first report in which two blast R-genes are stacked together using co-transformation approach. The two-gene-stacked transgenic line developed in this study can be used further to understand the molecular aspects of defense-related pathways vis-a-vis single R-gene containing transgenic lines. |
X Demographics
The data shown below were collected from the profiles of 5 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| India | 2 | 40% |
| Canada | 1 | 20% |
| Unknown | 2 | 40% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 60% |
| Scientists | 2 | 40% |
Mendeley readers
The data shown below were compiled from readership statistics for 31 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 31 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 6 | 19% |
| Researcher | 5 | 16% |
| Student > Doctoral Student | 3 | 10% |
| Other | 2 | 6% |
| Student > Bachelor | 2 | 6% |
| Other | 4 | 13% |
| Unknown | 9 | 29% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 13 | 42% |
| Biochemistry, Genetics and Molecular Biology | 6 | 19% |
| Chemical Engineering | 1 | 3% |
| Unspecified | 1 | 3% |
| Unknown | 10 | 32% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 03 March 2020.
All research outputs
#13,333,847
of 23,002,898 outputs
Outputs from Plant Cell Reports
#1,524
of 2,197 outputs
Outputs of similar age
#155,073
of 316,290 outputs
Outputs of similar age from Plant Cell Reports
#32
of 39 outputs
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