scholarly journals Sequence Diversity and Virulence in Zea mays of Maize Streak Virus Isolates

Virology ◽  
2001 ◽  
Vol 288 (2) ◽  
pp. 247-255 ◽  
Author(s):  
D.P. Martin ◽  
J.A. Willment ◽  
R. Billharz ◽  
R. Velders ◽  
B. Odhiambo ◽  
...  
Intervirology ◽  
1989 ◽  
Vol 30 (2) ◽  
pp. 96-101 ◽  
Author(s):  
Ralph Kirby ◽  
Beverley A. Clarke ◽  
Edward P. Rybicki

1998 ◽  
Vol 88 (5) ◽  
pp. 422-427 ◽  
Author(s):  
Darrin P. Martin ◽  
Edward P. Rybicki

We investigated the use of computer-assisted image analysis techniques for the objective quantification of maize streak virus (MSV) symptoms in Zea mays. We compared independent duplicate evaluations of chlorotic lesion areas occurring on MSV-infected leaves using visual assessment, a commercial image analysis system, and a custom image analysis system employing software developed in our laboratory. Relative to visual assessments of disease severity, computer-assisted image analysis employing both the commercial and custom systems provided significant enhancements in the accuracy and precision of chlorotic area estimations. The commercial image analysis system afforded no significant improvement in precision or accuracy over the custom system. An important advantage of examining images using the custom-written software was that the software permitted a high degree of analysis automation. Digitized images of maize leaves could be automatically analyzed by the custom software five times faster than, and with the same precision and accuracy as, when the same images were analyzed with the commercial software. Because of the flexibility of the image analysis techniques described, they should be applicable to the measurement of symptom severity in other plant host-pathogen combinations.


1987 ◽  
pp. 459-468 ◽  
Author(s):  
Barbara Hohn ◽  
Thomas Hohn ◽  
Margaret I. Boulton ◽  
Jeffrey W. Davies ◽  
Nigel Grimsley

2007 ◽  
Vol 88 (11) ◽  
pp. 3154-3165 ◽  
Author(s):  
Betty E. Owor ◽  
Darren P. Martin ◽  
Dionne N. Shepherd ◽  
Richard Edema ◽  
Adérito L. Monjane ◽  
...  

Maize streak virus (MSV) contributes significantly to the problem of extremely low African maize yields. Whilst a diverse range of MSV and MSV-like viruses are endemic in sub-Saharan Africa and neighbouring islands, only a single group of maize-adapted variants – MSV subtypes A1–A6 – causes severe enough disease in maize to influence yields substantially. In order to assist in designing effective strategies to control MSV in maize, a large survey covering 155 locations was conducted to assess the diversity, distribution and genetic characteristics of the Ugandan MSV-A population. PCR–restriction fragment-length polymorphism analyses of 391 virus isolates identified 49 genetic variants. Sixty-two full-genome sequences were determined, 52 of which were detectably recombinant. All but two recombinants contained predominantly MSV-A1-like sequences. Of the ten distinct recombination events observed, seven involved inter-MSV-A subtype recombination and three involved intra-MSV-A1 recombination. One of the intra-MSV-A1 recombinants, designated MSV-A1UgIII, accounted for >60 % of all MSV infections sampled throughout Uganda. Although recombination may be an important factor in the emergence of novel geminivirus variants, it is demonstrated that its characteristics in MSV are quite different from those observed in related African cassava-infecting geminivirus species.


1999 ◽  
Vol 89 (8) ◽  
pp. 695-700 ◽  
Author(s):  
D. P. Martin ◽  
J. A. Willment ◽  
E. P. Rybicki

We devised a rapid technique for the objective and precise assessment of both the pathogenicity of maize streak virus (MSV) isolates and the MSV resistance of maize genotypes. The technique involves the use of agroinoculation to infect maize seedlings and the objective symptom evaluation by quantification of infection rates, stunting, and chlorotic leaf areas. In assessing the MSV resistance of 19 maize genotypes, we describe how the use of differentially virulent virus isolates enables the analysis of MSV resistance phenotypes, ranging from extremely susceptible to completely immune. We further demonstrate how quantification of chlorotic leaf areas by image analysis permits differentiation between degrees of MSV resistance that are indistinguishable from one another using currently employed symptom assessment approaches. Using chlorotic area measurements, we quantify the virulence of a diverse group of 10 MSV isolates and, through agroinoculation of differentially susceptible maize genotypes, we demonstrate the use of our technique in evaluating the pathogenicity of these isolates.


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