Rapid Methodologies for Assessing Pseudomonas syringae pv. actinidiae Colonization and Effector-Mediated Hypersensitive Response in Kiwifruit

Author:

Jayaraman Jay12,Chatterjee Abhishek1,Hunter Shannon1,Chen Ronan3,Stroud Erin A.14ORCID,Saei Hassan3,Hoyte Stephen5,Deroles Simon3,Tahir Jibran1,Templeton Matthew D.124,Brendolise Cyril1ORCID

Affiliation:

1. The New Zealand Institute for Plant and Food Research Limited, Auckland, New Zealand

2. Bio-Protection Research Centre, Lincoln, New Zealand

3. The New Zealand Institute for Plant and Food Research Limited, Palmerston North, New Zealand

4. School of Biological Sciences, University of Auckland, Auckland, New Zealand

5. The New Zealand Institute for Plant and Food Research Limited, Ruakura Research Centre, Hamilton, New Zealand

Abstract

The infection of Pseudomonas syringae pv. actinidiae in kiwifruit is currently assessed by numerous methodologies, each with their own limitations. Most studies are based on either a laborious method of growth quantification of the pathogen or qualitative assessments by visual scoring following stem or cutting inoculation. Additionally, when assessing for resistance against specific pathogen effectors, confounding interactions between multiple genes in the pathogen can make mapping resistance phenotypes nearly impossible. Here, we present robust alternative methods to quantify pathogen load based on rapid bacterial DNA quantification by PCR, the use of Pseudomonas fluorescens, and a transient reporter eclipse assay for assessing resistance conferred by isolated bacterial avirulence genes. These assays compare well with bacterial plate counts to assess bacterial colonization as a result of plant resistance activation. The DNA-based quantification, when coupled with the P. fluorescens and reporter eclipse assays to independently identify bacterial avirulence genes, is rapid, highly reproducible, and scalable for high-throughput screens of multiple cultivars or genotypes. Application of these methodologies will allow rapid and high-throughput identification of resistant cultivars and the bacterial avirulence genes they recognize, facilitating resistance gene discovery for plant breeding programs. [Formula: see text] Copyright © 2021 The Author(s). This is an open access article distributed under the CC BY-NC-ND 4.0 International license .

Publisher

Scientific Societies

Subject

Agronomy and Crop Science,General Medicine,Physiology

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