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

Show simple item record

dc.contributor.author Jayaraman, Jay
dc.contributor.author Chatterjee, Abhishek
dc.contributor.author Hunter, Shannon
dc.contributor.author Chen, Ronan
dc.contributor.author Stroud, Erin A
dc.contributor.author Saei, Hassan
dc.contributor.author Hoyte, Stephen
dc.contributor.author Deroles, Simon
dc.contributor.author Tahir, Jibran
dc.contributor.author Templeton, Matthew D
dc.contributor.author Brendolise, Cyril
dc.coverage.spatial United States
dc.date.accessioned 2021-10-17T20:25:02Z
dc.date.available 2021-10-17T20:25:02Z
dc.date.issued 2021-9-9
dc.identifier.citation Molecular plant-microbe interactions : MPMI MPMI02210043R 09 Sep 2021
dc.identifier.issn 0894-0282
dc.identifier.uri https://hdl.handle.net/2292/57003
dc.description.abstract The infection of <i>Pseudomonas syringae</i> pv. <i>actinidiae</i> 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 <i>Pseudomonas fluorescens</i>, 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 <i>P. fluorescens</i> 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.
dc.format.medium Print-Electronic
dc.language eng
dc.publisher Scientific Societies
dc.relation.ispartofseries Molecular plant-microbe interactions : MPMI
dc.rights Items in ResearchSpace are protected by copyright, with all rights reserved, unless otherwise indicated. Previously published items are made available in accordance with the copyright policy of the publisher.
dc.rights.uri https://researchspace.auckland.ac.nz/docs/uoa-docs/rights.htm
dc.rights.uri https://creativecommons.org/licenses/by-nc-nd/4.0/
dc.rights.uri https://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subject Actinidia arguta
dc.subject PDQeX
dc.subject electrolyte leakage
dc.subject qPCR
dc.subject resistance
dc.subject 0604 Genetics
dc.subject 0605 Microbiology
dc.subject 0607 Plant Biology
dc.title Rapid Methodologies for Assessing <i>Pseudomonas syringae</i> pv. <i>actinidiae</i> Colonization and Effector-Mediated Hypersensitive Response in Kiwifruit.
dc.type Journal Article
dc.identifier.doi 10.1094/mpmi-02-21-0043-r
pubs.issue 8
pubs.begin-page MPMI02210043R
pubs.volume 34
dc.date.updated 2021-09-24T21:51:52Z
dc.rights.holder Copyright: The author en
pubs.author-url https://www.ncbi.nlm.nih.gov/pubmed/33834857
pubs.publication-status Published
dc.rights.accessrights http://purl.org/eprint/accessRights/OpenAccess en
pubs.subtype Journal Article
pubs.elements-id 867397
dc.identifier.eissn 1943-7706
pubs.online-publication-date 2021-9-9


Files in this item

Find Full text

This item appears in the following Collection(s)

Show simple item record

Share

Search ResearchSpace


Browse

Statistics