Recipient Organization
UNIVERSITY OF FLORIDA
G022 MCCARTY HALL
GAINESVILLE,FL 32611
Performing Department
(N/A)
Non Technical Summary
Huanglongbing (HLB) is a devastating disease in Florida and threatens the US citrus industry. Citrus growers have been seeking a solution to HLB for over 15 years. The currently applied strategies for mitigating HLB are costly and unsustainable. The development and commercialization of HLB-resistant rootstocks proposed in this project titled "SP HLB-resistant rootstock candidates for the citrus industry: validating and understanding disease resistance" is a possible solution for sustainable citriculture in the US, bringing all commercial scions back into production in an HLB-endemic environment. This project will investigate rootstocks that do not test positive for CLas and appear resistant to citrus greening. Experiments will be conducted on inoculated plants in the greenhouse and inarching experiments will be conducted in an infected grove. The long term goals of this project are 1) to distribute HLB-resistant rootstocks to stakeholders; and 2) to understand the biological mechanisms behind HLB-tolerance and -resistance for breeding HLB resistant scions and gene editing purposes. The objectives of this project are 1) Verify HLB resistance of rootstock candidates and determine their impacts on scion performance; 2) Transfer rootstock resistant germplasm material; 3) Delivery of findings to stakeholders; and 4) Study underlying mechanisms of HLB resistance in rootstocks. This project will gather horticultural and multi-omic data to gain knowledge of the multidimensional underpinnings of HLB tolerance and resistance. This project's objectives align with 2.4 A cure for HLB-infected trees and strategies for maintaining their productivity and 2.8 Progress in the development of commercial citrus varieties (rootstocks and scions) with genetic resistance to HLB using traditional breeding techniques.
Animal Health Component
50%
Research Effort Categories
Basic
50%
Applied
50%
Developmental
(N/A)
Goals / Objectives
The major goals of this project are 1) to commercialize and distribute HLB-resistant rootstocks to stakeholders in Florida, Texas, and California; and 2) to understand the biological mechanisms behind HLB-tolerance and -resistance for breeding HLB resistant scions and geneediting purposes.
Project Methods
Objective 1Methods: Experiments will be executed in two locations: 1) the greenhouse, and 2) the grove.Experimental design. Trees both in greenhouse and in the grove will be randomized with complete blocks and follow throughout the project period. Trees in the greenhouse and field will be grown using standard cultural practices. Trees in the greenhouse will be watered manually and trees in the field experiment will be watered by microjet sprinklers.Tree health assessment. We will collect visual ratings to describe tree decline by HLB disease using a method that ranges from 1 to 4 score. Scores are indicative of the proportion of the tree with HLB symptoms from severe to healthy.Plant sample collection. Tree foliage is divided into 4 sections and 4-5 leaves are collected per tree. Leaf samples are a mixed of symptomatic and asymptomatic samples. Fibrous root samples are collected by inserting a root auger. Chopped midrib of leaves and fibrous roots samples will be used.CLas detection via qPCR. To detect CLas in the selected citrus rootstock, DNA will be isolated from midrib of leaves of fibrous roots with a modified CTAB.Greenhouse ExperimentVerify HLB resistance of rootstock candidates and determine their impacts on scion performance in the greenhouseThe experimental design will be a randomized complete block design with eight replications that will include 15 HLB resistant advanced rootstock candidates and two conventional industry standard rootstocks. Once established, the candidate rootstock plants will be grafted with qPCR-verified CLas- (healthy uninfected control) and CLas+ (infected) sweet orange bud- sticks (a proven method that approaches 100% infection rate). HLB resistance of the selected rootstocks will be verified by qPCR testing of scion leaves and roots at the beginning and end of the experiment, as well as at three additional time points during the project period. The grafted plants will be grown for at least 12 months and then evaluated for CLas infection. Scion growth will be measured periodically over time, and at the end of the experiment during year 2, root growth will be evaluated using Winrhizo scan methodology. Verification of resistance will be determined if conventional rootstocks test positive and any of the HLB resistant candidates test negative after testing positive at the end of the experiment.Field ExperimentVerify HLB resistance of rootstock candidates and determine their impacts on scion performance in the fieldThe experimental design will be a randomized complete block design with four replications that will include four HLB-resistant advanced rootstock candidates and one conventional industry standard rootstock (US-942).Trees with HLB symptoms will be inarched with HLB-resistant rootstocks and a control. Variables associated with growth of the scions will be evaluated. These variables will include shoot growth of flushes, number of shoots per flush, number of leaves, percentage of leaves with HLB symptoms, water potential, and SPAD reading. CLas titer of scion and inarched rootstocks will be quantified three times during the experiment.Means by which results will be analyzed, assessed, or interpreted: HLB-resistant rootstock candidates that show promise to mitigate HLB in susceptible commercial scions will be assessed by tree growth, tree health, and Clas titer measurements (in both scions and roots). Grafted trees showing pre-HLB health and growth will be interpreted as potentially tolerant, and among these, any showing suppressed Clas titers will be interpreted as potentially tolerant.Objective 2Methods: Rootstocks that have been validated as HLB-resistant will be shipped to California for distribution and conservation in the Citrus Clonal Protection Program and the National Clonal Germplasm Repository for Citrus and Dates.Means by which results will be analyzed, assessed or interpreted: The total number of rootstocks in this study that are found to be HLB resistant and sent to other germplasm collections.Objective 3Methods: This objective will include a two-phase extension program. Phase 1 will include pre- and post-workshop questionnaires to determine the program's effectiveness in disseminating knowledge. Phase 2 will use information gained from stakeholders from Phase 1 to understand grower and other stakeholder opinions on desirable rootstocks, evaluate project success, and determine change in attitude over time during the project period.Before and after Phase 1 activities and Phase 2 activities of the extension program, a group of interested stakeholders will meet with project personnel to discuss workshop composition, the survey, and pre- and post-event questionnaire questions to ensure that acceptable metrics are used in project evaluation of success.Means by which results will be analyzed, assessed or interpreted: Data from the surveys that will be given to stakeholders during extension activities will be evaluated with statistical software after being manually inputted into a spreadsheet.Objective 4Methods: This objective will include the acquisition of multi-omic data sets that will be analyzed separately and together to understand mechanisms of HLB resistance in citrus. The multi-omic data that will be used in this project are genomic, transcriptomic, and metabolomic in scale along with plant phenotypic data.Genomics All 16 rootstocks and two controls will be resequenced using Illumina Novaseq technology, which can generate several billion 2 x 250 bp paired end reads. Reads will be aligned to reference genomes that currently exist or are being produced by Gmitter's group or elsewhere.Transcriptomics Tissues from the roots of rootstocks and leaves of scions will be collected at three time points during the project period: 1) at experiment commencement; 2) when the first HLB symptoms are observed; and 3) a takedown of the experiment.RNA will be extracted and prepared using standard protocols from Gmitter's labBar-coded libraries will be constructed for each selected rootstock-tissue-time for multiplexed Illumina Novaseq 6000 sequencing, with PE 150 read lengths. (https://www.citrusgenomedb.org/) for public access.Metabolomics Tissues from the roots of rootstocks and leaves of scions will be collected at three time points during the project period: 1) at experiment commencement; 2) When the first HLB symptoms are observed; and 3) a takedown of the experiment. Metabolomic tissue sampling in the greenhouse experiment will include all 15 HLB-resistant rootstocks and the two HLB-susceptible controls. Wang's lab has extensive experience in the metabolomics approaches, and has developed a citrus specific metabolomics platform with an extensive citrus metabolite library. Samples will proceed through a multi-step process including analysis using three technique platforms: LC-MS/MS(+ESI), LC-MS/MS(-ESI) and GC-MS.Multi-dimensional analysis Co-PD Jia's lab has developed advanced multi-omic approaches for identifying genetic networks of multi-dimensional variables that determine complex traits of interest, such as disease resistance and susceptibility. These new multi-omic methods, as well as commonly applied prediction models including best linear unbiased prediction (BLUP), least absolute shrinkage and selection operator (LASSO), and stochastic search variable selection (SSVS), have been demonstrated in various organisms including rice and humans, and are currently being utilized in an ongoing citrus study.Means by which results will be analyzed, assessed or interpreted: Besides the advanced multi-omic methodologies, standard statistical methods, such as t-test, ANOVA, and multiple comparisons, will be applied to analyze and interpret data of disease incidence and/or severity, fruit quality parameters, fruit yield, and survey and sensory evaluation. Statistical software R, SAS, and SPSS will be used for the proposed data analysis and interpretation.