title: An integrative statistical method to explore herbivory-specific responses in plants.
abstract: Spatial-temporal coordination between multiple processes/pathways is a key determinant of whole-organism transcriptome and metabolome reconfigurations in plants' response to biotic stresses. To explore tissue-based interdependencies in Nicotiana attenuata's resistance to insect attack, we performed time course analyses of the plant's transcriptome and metabolome in herbivory-elicited source leaves and unelicited sink leaves and roots. To dissect the multidimensionality of these responses, we have recently designed a novel approach of constructing interactive motifs by combining an extended self-organizing maps (SOM) based dimensionality reduction method with bootstrap-based non-parametric AN OVA models. In this previous study, we used this method to study nonlinearities in gene-metabolite associations involved in the acyclic diterpene glucoside pathway. Here, we extend the application of this method to the extraction of genes showing herbivory-elicitation specifically in systemic (distal from the treatment sites) tissues using motif analysis for different combinations of treatment applied to Nicotiana attenuata.
authors.forename: Jyotasana
authors.initials: J
authors.lastname: Gulati
authors.forename: Ian T
authors.initials: IT
authors.lastname: Baldwin
authors.forename: Emmanuel
authors.initials: E
authors.lastname: Gaquerel
mesh_terms: D000818:Animals; D018506:Gene Expression Regulation, Plant; D060434:Herbivory / Q000502:physiology*; D007313:Insecta / Q000502:physiology; D055442:Metabolome / Q000235:genetics / Q000502:physiology; D018515:Plant Leaves / Q000235:genetics / Q000378:metabolism / Q000469:parasitology; D018517:Plant Roots / Q000235:genetics / Q000378:metabolism / Q000469:parasitology; D014026:Nicotiana / Q000235:genetics / Q000378:metabolism* / Q000469:parasitology*; D059467:Transcriptome / Q000235:genetics