Development of Aster Yellows (Ca. Phytoplasma asteris) on plant spp.; probing behavior of aster leafhoppers (EPG)
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After screening different plant species commonly found in the Canadian Prairies regarding their suitability as hosts for phytoplasmas and/or aster leafhoppers (main vector in the region), I selected some of these plant species for follow-up experiments. In these experiments, I am interested in understanding if major plant signaling pathways can modulate behavioral responses from aster leafhoppers and if probing behavior differs across host plants.
Aster yellows phytoplasmas (AYp) are a group of obligate parasites that infect a wide range of plant species, including crops such as canola and cereals and noncrops such as dandelion and wild mustard. In the Canadian Prairies, these microorganisms are mainly transmitted by a migratory species of leafhopper ( Macrosteles quadrilineatus Forbes). Alt...
Polyphagous insects are characterized by a broad diet comprising plant species from different taxonomic groups. Within these insects, migratory species are of particular interest, given that they encounter unpredictable environments, with abrupt spatial and temporal changes in plant availability and density. Aster leafhoppers (Hemiptera: Cicadellid...
Some plant pathogens are capable of manipulating their insect vectors and plant hosts in a way that disease transmission is enhanced. Aster leafhopper (Macrosteles quadrilineatus Forbes) (Hemiptera: Cicadellidae) is the main vector of Aster Yellows Phytoplasma (Candidatus Phytoplasma asteris) in the Canadian Prairies, which causes Aster Yellows (AY...
This study demonstrates that soybean cultivars respond differentially to damage in a herbivore-specific manner, and trigger responses decreasing herbivore performance. Soybean crops are affected by a great number of insect herbivores, resulting in devastating yield losses. Secondary metabolites like proteinase inhibitors and phenolic compounds are...
I decided to use a GLMM with a negative binomial distribution (glmer.nb function in R) to analyze my data due to the overdispersion in my dataset and the fact that I have a random factor. I am struggling with the post-hoc analysis, as the package "emmeans" is not entirely compatible with this model (it cannot identify the original dataset) and I cannot make the script work so that the comparisons are performed on the response scale and not on the log scale. Is there any other appropriate package that works with these type of models or should I switch to a model with a "quasipoisson" distribution instead?