Background
Effective disease management depends on timely and accurate diagnosis to guide control measures. The capacity to distinguish between individuals in a pathogen population with specific properties such as fungicide resistance, toxin production and virulence profiles is often essential to inform disease management approaches. The genomics revolution has led to technologies that can rapidly produce high-resolution genotypic information to define individual variants of a pathogen species. However, their application to complex fungal pathogens has remained limited due to the frequent inability to culture these pathogens in the absence of their host and their large genome sizes.
Results
Here, we describe the development of Mobile And Real-time PLant disEase (MARPLE) diagnostics, a portable, genomics-based, point-of-care approach specifically tailored to identify individual strains of complex fungal plant pathogens. We used targeted sequencing to overcome limitations associated with the size of fungal genomes and their often obligately biotrophic nature. Focusing on the wheat yellow rust pathogen,
Puccinia striiformis
f.sp.
tritici
(
Pst
), we demonstrate that our approach can be used to rapidly define individual strains, assign strains to distinct genetic lineages that have been shown to correlate tightly with their virulence profiles and monitor genes of importance.
Conclusions
MARPLE diagnostics enables rapid identification of individual pathogen strains and has the potential to monitor those with specific properties such as fungicide resistance directly from field-collected infected plant tissue in situ. Generating results within 48 h of field sampling, this new strategy has far-reaching implications for tracking plant health threats.
Electronic supplementary material
The online version of this article (10.1186/s12915-019-0684-y) contains supplementary material, which is available to authorized users.
This study examined differences between college students with high and low symptoms of Attention-Deficit/Hyperactivity Disorder (ADHD). Fifty-nine introductory psychology students completed ADHD diagnostic measures and were compared on measures of driving anger and driving anger expression; accident-related, aggressive, and risky driving behaviors; general anger; and general anger expression. Results indicated high ADHD symptom college students experience more driving anger, display such anger in more hostile/aggressive ways, are more aggressive and risky on the road, experience more crash-related outcomes, are more generally angry, and tend to display anger in socially unacceptable ways. Results are discussed in regard to the understanding and treatment of ADHD.
High anger drivers acknowledging problems with driving anger and interest in counseling (high anger/problem [HP] drivers) were compared with high and low anger drivers not acknowledging problems with driving anger and seeking counseling (high and low/nonproblem [HNP and LNP, respectively] drivers). High anger groups reported more anger while driving; aggressive expression of driving anger; aggression and risky behavior; trait anger; impulsiveness; and aggressive, less controlled forms of general anger expression and less adaptive/constructive coping than LNP drivers. HP drivers received more tickets and experienced more minor accidents than LNP drivers. Although high anger drivers did not differ on reported anger, risky behavior, and impulsiveness, HP drivers reported greater aggression on 1 measure, greater aggressiveness on 3 measures of driving anger expression, greater trait anger, and more aggressive and less controlled forms of general anger expression, suggesting HP drivers are somewhat more aggressive than the HNP group. Results supported the state-trait model of anger. Implications for intervention were drawn.
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