Grant Information

HARNESSING NATURAL VARIATION IN TRANSMISSION OF LIBERIBACTER BY THE ASIAN CITRUS PSYLLID TO DEVELOP NOVEL HLB CONTROL STRATEGRIES

Sponsoring Institution Agricultural Research Service/USDA
Status ACTIVE
Funding Source USDA COOPERATIVE AGREEMENT
Reporting Frequency Annual
Project Director HECK M L
Accession Number 431130
Project Number 8062-22410-006-09A
Dates 2016-02-01 - 2018-12-31
Recipient Organization BOYCE THOMPSON INSTITUTE
TOWER ROAD
ITHACA,NY 14853
Keywords asiaticus
candidatus
citrus
clas
hlb
igem
liberibacter
psyllid
Research Effort Applied (25%)
Basic (75%)
Developmental (0%)
Classification Parameters
Knowledge AreaSubject of InvestigationField of SciencePercent
215 - Biological Control of Pests Affecting Plants 2410 - Cross-commodity research--multiple crops 1000 - Biochemistry and biophysics 100%
Goals / Objectives
The overall goal of our project is to develop technologies that block Asian citrus psyllid (ACP) transmission of Candidatus Liberibacter asiaticus (CLas) and to develop a simple yeast biosensor that will enable the identification of CLasharboring insects in the field.
Methods (unparsed)

This project will utilize a panel of isofemale ACP lines which have been characterized for their difference in CLas transmission efficiency. Analysis of differences between natural populations of ACP varying in their ability to acquire or transmit the citrus greening pathogen may lead to new strategies for the management of HLB. We will determine the genetic basis of CLas transmission by Diaphorina citri, the Asian citrus psyllid (ACP), including how interactions between the insect and its bacterial endosymbionts contribute to the CLas transmission process. Candidatus Profftella armatura is an endosymbiont specific to the ACP which produces high amounts of a polyketide toxin, diaphorin, hypothesized to play a key role in enabling CLas transmission by the insect vector. Functional analysis of diaphorin, including identification and characterization of its protein binding partners, will be performed. Citrus tristeza virus (CTV) gene silencing technology will be used to knock down production of ACP proteins in insects feeding on nontransgenic CTV-silenced plants. Proteomic data revealing specific ACP peptides found only in insects harboring CLas will be exploited to develop a yeast biosensor to identify individual ACP harboring CLas that can easily be used by growers. Our project will have an education component: we will involve Cornell University undergraduate researchers in the International Genetically Engineered Machine (iGEM) program in the development of the CLas biosensor using synthetic biology.

Methods
This project will utilize a panel of isofemale ACP lines which have been characterized for their difference in CLas transmission efficiency. Analysis of differences between natural populations of ACP varying in their ability to acquire or transmit the citrus greening pathogen may lead to new strategies for the management of HLB. We will determine the genetic basis of CLas transmission by Diaphorina citri, the Asian citrus psyllid (ACP), including how interactions between the insect and its bacterial endosymbionts contribute to the CLas transmission process. Candidatus Profftella armatura is an endosymbiont specific to the ACP which produces high amounts of a polyketide toxin, diaphorin, hypothesized to play a key role in enabling CLas transmission by the insect vector. Functional analysis of diaphorin, including identification and characterization of its protein binding partners, will be performed. Citrus tristeza virus (CTV) gene silencing technology will be used to knock down production of ACP proteins in insects feeding on nontransgenic CTV-silenced plants. Proteomic data revealing specific ACP peptides found only in insects harboring CLas will be exploited to develop a yeast biosensor to identify individual ACP harboring CLas that can easily be used by growers. Our project will have an education component: we will involve Cornell University undergraduate researchers in the International Genetically Engineered Machine (iGEM) program in the development of the CLas biosensor using synthetic biology.