scholarly journals Genetic analysis of Verticillium wilt resistance in a backcross inbred line population and a meta-analysis of quantitative trait loci for disease resistance in cotton

BMC Genomics ◽  
2015 ◽  
Vol 16 (1) ◽  
Author(s):  
Jinfa Zhang ◽  
Jiwen Yu ◽  
Wenfeng Pei ◽  
Xingli Li ◽  
Joseph Said ◽  
...  
2008 ◽  
Vol 50 (2) ◽  
pp. 174-182 ◽  
Author(s):  
Hong-Mei Wang ◽  
Zhong-Xu Lin ◽  
Xian-Long Zhang ◽  
Wei Chen ◽  
Xiao-Ping Guo ◽  
...  

2010 ◽  
Vol 9 (4) ◽  
pp. 2140-2147 ◽  
Author(s):  
X.-H. Liu ◽  
Z.-P. Zheng ◽  
Z.-B. Tan ◽  
Z. Li ◽  
C. He

Crop Science ◽  
2002 ◽  
Vol 42 (1) ◽  
pp. 271-277 ◽  
Author(s):  
J. Yuan ◽  
V. N. Njiti ◽  
K. Meksem ◽  
M. J. Iqbal ◽  
K. Triwitayakorn ◽  
...  

Crop Science ◽  
2002 ◽  
Vol 42 (1) ◽  
pp. 271 ◽  
Author(s):  
J. Yuan ◽  
V. N. Njiti ◽  
K. Meksem ◽  
M. J. Iqbal ◽  
K. Triwitayakorn ◽  
...  

2010 ◽  
Vol 100 (1) ◽  
pp. 72-79 ◽  
Author(s):  
John C. Zwonitzer ◽  
Nathan D. Coles ◽  
Matthew D. Krakowsky ◽  
Consuelo Arellano ◽  
James B. Holland ◽  
...  

Southern leaf blight (SLB), gray leaf spot (GLS), and northern leaf blight (NLB) are all important foliar diseases impacting maize production. The objectives of this study were to identify quantitative trait loci (QTL) for resistance to these diseases in a maize recombinant inbred line (RIL) population derived from a cross between maize lines Ki14 and B73, and to evaluate the evidence for the presence genes or loci conferring multiple disease resistance (MDR). Each disease was scored in multiple separate trials. Highly significant correlations between the resistances and the three diseases were found. The highest correlation was identified between SLB and GLS resistance (r = 0.62). Correlations between resistance to each of the diseases and time to flowering were also highly significant. Nine, eight, and six QTL were identified for SLB, GLS, and NLB resistance, respectively. QTL for all three diseases colocalized in bin 1.06, while QTL colocalizing for two of the three diseases were identified in bins 1.08 to 1.09, 2.02/2.03, 3.04/3.05, 8.05, and 10.05. QTL for time to flowering were also identified at four of these six loci (bins 1.06, 3.04/3.05, 8.05, and 10.05). No disease resistance QTL was identified at the largest-effect QTL for flowering time in bin 10.03.


2021 ◽  
Author(s):  
Aifang Ma ◽  
Dingpeng Zhang ◽  
Guangxing Wang ◽  
Kai Wang ◽  
Zhen Li ◽  
...  

Abstract Verticillium wilt is a severe plant disease that causes massive losses in multiple crops. Increasing the plant resistance to Verticillium wilt is a critical challenge worldwide. Here, we report that the hemibiotrophic Verticillium dahliae-secreted Asp f2-like protein VDAL causes leaf wilting when applied to cotton leaves in vitro but enhances the resistance to V. dahliae when overexpressed in Arabidopsis or cotton without affecting the plant growth and development. VDAL protein interacts with Arabidopsis E3 ligases plant U-box 25 (PUB25) and PUB26 and is ubiquitinated by PUBs in vitro. However, VDAL is not degraded by PUB25 or PUB26 in planta. Besides, the pub25 pub26 double mutant shows higher resistance to V. dahliae than the wild-type. PUBs interact with the transcription factor MYB6 in a yeast two-hybrid screen. MYB6 promotes plant resistance to Verticillium wilt while PUBs ubiquitinate MYB6 and mediate its degradation. VDAL competes with MYB6 for binding to PUBs, and the role of VDAL in increasing Verticillium wilt resistance depends on MYB6. Taken together, these results suggest that plants evolute a strategy to utilize the invaded effector protein VDAL to resist the V. dahliae infection without causing a hypersensitive response (HR); alternatively, hemibiotrophic pathogens may use some effectors to keep plant cells alive during its infection in order to take nutrients from host cells. This study provides the molecular mechanism for plants increasing disease resistance when overexpressing some effector proteins without inducing HR, and may promote searching for more genes from pathogenic fungi or bacteria to engineer plant disease resistance.


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