| Title |
Pyramiding of nine transgenes in maize generates high-level resistance against necrotrophic maize pathogens
|
|---|---|
| Published in |
Theoretical and Applied Genetics, July 2018
|
| DOI | 10.1007/s00122-018-3143-1 |
| Pubmed ID | |
| Authors |
Xiang Zhu, Jinfeng Zhao, Hafiz Muhammad Khalid Abbas, Yunjun Liu, Menglan Cheng, Jue Huang, Wenjuan Cheng, Beibei Wang, Cuiying Bai, Guoying Wang, Wubei Dong |
| Abstract |
Key message Nine transgenes from different categories, viz. plant defense response genes and anti-apoptosis genes, played combined roles in maize to inhibit the necrotrophic pathogens Rhizoctonia solani and Bipolaris maydis. Maize sheath blight and southern corn leaf blight are major global threats to maize production. The management of these necrotrophic pathogens has encountered limited success due to the characteristics of their lifestyle. Here, we presented a transgenic pyramiding breeding strategy to achieve nine different resistance genes integrated in one transgenic maize line to combat different aspects of necrotrophic pathogens. These nine genes, selected from two different categories, plant defense response genes (Chi, Glu, Ace-AMP1, Tlp, Rs-AFP2, ZmPROPEP1 and Pti4), and anti-apoptosis genes (Iap and p35), were successfully transferred into maize and further implicated in resistance against the necrotrophic pathogens Rhizoctonia solani and Bipolaris maydis. Furthermore, the transgenic maize line 910, with high expression levels of the nine integrated genes, was selected from 49 lines. Under greenhouse and field trial conditions, line 910 showed significant resistance against maize sheath blight and southern corn leaf blight diseases. Higher-level resistance was obtained after the pyramiding of more resistance transgenes from different categories that function via different mechanisms. The present study provides a successful strategy for the management of necrotrophic pathogens. |
X Demographics
The data shown below were collected from the profiles of 27 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 3 | 11% |
| India | 3 | 11% |
| United Kingdom | 2 | 7% |
| Canada | 2 | 7% |
| Australia | 2 | 7% |
| Turkey | 1 | 4% |
| Thailand | 1 | 4% |
| Brazil | 1 | 4% |
| Sweden | 1 | 4% |
| Other | 3 | 11% |
| Unknown | 8 | 30% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 18 | 67% |
| Scientists | 8 | 30% |
| Practitioners (doctors, other healthcare professionals) | 1 | 4% |
Mendeley readers
The data shown below were compiled from readership statistics for 29 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 29 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 5 | 17% |
| Student > Ph. D. Student | 5 | 17% |
| Student > Master | 4 | 14% |
| Student > Doctoral Student | 2 | 7% |
| Student > Bachelor | 2 | 7% |
| Other | 3 | 10% |
| Unknown | 8 | 28% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 14 | 48% |
| Biochemistry, Genetics and Molecular Biology | 3 | 10% |
| Environmental Science | 1 | 3% |
| Unspecified | 1 | 3% |
| Engineering | 1 | 3% |
| Other | 0 | 0% |
| Unknown | 9 | 31% |
Attention Score in Context
This research output has an Altmetric Attention Score of 32. 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 September 2020.
All research outputs
#1,132,088
of 23,794,258 outputs
Outputs from Theoretical and Applied Genetics
#39
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Outputs of similar age
#25,535
of 328,216 outputs
Outputs of similar age from Theoretical and Applied Genetics
#2
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