A hydroponics based high throughput screening system for Phytophthora root rot resistance in chickpea (Cicer arietinum L.).

Publication Overview
TitleA hydroponics based high throughput screening system for Phytophthora root rot resistance in chickpea (Cicer arietinum L.).
AuthorsAmalraj A, Taylor J, Sutton T
TypeJournal Article
Journal NamePlant methods
Volume15
Year2019
Page(s)82
CitationAmalraj A, Taylor J, Sutton T. A hydroponics based high throughput screening system for Phytophthora root rot resistance in chickpea (Cicer arietinum L.).. Plant methods. 2019; 15:82.

Abstract

Background
Phytophthora root rot (PRR) caused by P. medicaginis is a major soil borne disease in chickpea growing regions of Australia. Sources of resistance have been identified in both cultivated and wild Cicer species. However, the molecular basis underlying PRR resistance is not known. Current phenotyping methods rely on mycelium slurry or oospore inoculum. Sensitive and reliable methods are desirable to study variation for PRR resistance in chickpea and allow for a controlled inoculation process to better capture early defence responses following PRR infection.

Results
In this study, a procedure for P. medicaginis zoospore production was standardized and used as the inoculum to develop a hydroponics based in planta infection method to screen chickpea genotypes with established levels of PRR resistance. The efficiency of the system was both qualitatively validated based on observation of characteristic PRR symptom development, and quantitatively validated based on the amount of pathogen DNA in roots. This system was scaled up to screen two biparental mapping populations previously developed for PRR studies. For each of the screenings, plant survival time was measured after inoculation and used to derive Kaplan-Meier estimates of plant survival (KME-survival). KME-survival and canker length were then selected as phenotypic traits associated with PRR resistance. Genetic analysis of these traits was conducted which identified quantitative trait loci (QTL). Additionally, these hydroponic traits and a set of previously published plant survival traits obtained from multiple PRR field experiments were combined in a model-based correlation analysis. The results suggest that the underlying genetic basis for plant survival during PRR infection within hydroponics and field disease environments is linked. The QTL QRBprrkms03 and QRBprrck03 on chromosome 4 identified for the traits KME-survival and canker length, respectively, correspond to the same region reported for PRR resistance in a field disease experiment.

Conclusion
A hydroponics based screening system will facilitate reliable and rapid screening in both small- and large-scale experiments to study PRR disease in chickpea. It can be applied in chickpea breeding programs to screen for PRR resistance and classify the virulence of new and existing P. medicaginis isolates.

Features
This publication contains information about 11 features:
Feature NameUniquenameType
Phytophthora root rot survival indexqPRRSI.Yorker/Genesis114.LG07QTL
Phytophthora root rot survival indexqPRRSI.04067-81-2-1-1/Rupali.LG02QTL
Phytophthora root rot survival indexqPRRSI.04067-81-2-1-1/Rupali.LG03QTL
Phytophthora root rot survival indexqPRRSI.04067-81-2-1-1/Rupali.LG04QTL
Phytophthora root rot survival indexqPRRSI.04067-81-2-1-1/Rupali.LG06QTL
Phytophthora root rot survival indexqPRRSI.04067-81-2-1-1/Rupali.LG07QTL
Phytophthora canker lengthqPCL.04067-81-2-1-1/Rupali.LG02QTL
Phytophthora canker lengthqPCL.04067-81-2-1-1/Rupali.LG03QTL
Phytophthora canker lengthqPCL.04067-81-2-1-1/Rupali.LG04QTL
Phytophthora canker lengthqPCL.04067-81-2-1-1/Rupali.LG06QTL
Phytophthora canker lengthqPCL.04067-81-2-1-1/Rupali.LG07QTL
Projects
This publication contains information about 1 projects:
Project NameDescription
Chickpea-Phytophthora_resistance-Amalraj-2019
Properties
Additional details for this publication include:
Property NameValue
LanguageEnglish
Language Abbreng
Publication TypeJournal Article
Journal CountryEngland
Publication ModelElectronic-eCollection
ISSN1746-4811
pISSN1746-4811
Publication Date2019
Journal AbbreviationPlant Methods
DOI10.1186/s13007-019-0463-3
Elocation10.1186/s13007-019-0463-3