Functional Variation of Plant-Pathogen Interactions: New Concept and Methods for Virulence Data Analyses

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F25328859%3A_____%2F19%3AN0000008" target="_blank" >RIV/25328859:_____/19:N0000008 - isvavai.cz</a>

Alternative codes found

RIV/61989592:15310/19:73596795

Result on the web

<a href="https://apsjournals.apsnet.org/doi/10.1094/PHYTO-02-19-0041-LE" target="_blank" >https://apsjournals.apsnet.org/doi/10.1094/PHYTO-02-19-0041-LE</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1094/PHYTO-02-19-0041-LE" target="_blank" >10.1094/PHYTO-02-19-0041-LE</a>

Result language

angličtina

Original language name

Functional Variation of Plant-Pathogen Interactions: New Concept and Methods for Virulence Data Analyses

Original language description

Classical virulence analysis is based on discovering virulence phenotypes of isolates with regard to a composition of resistance genes in a differential set of host genotypes. With such a vision, virulence phenotypes are usually treated in a genetic manner as one of two possible alleles, either virulence or avirulence in a binary locus. Therefore, population genetics metrics and methods have become prevailing tools for analyzing virulence data at multiple loci. However, a basis for resolving binary virulence phenotypes is infection type (IT) data of host-pathogen interaction that express functional traits of each specific isolate in a given situation (particular host, environmental conditions, cultivation practice, and so on). IT is determined by symptoms and signs observed (e.g., lesion type, lesion size, coverage of leaf or leaf segments by mycelium, spore production and so on), and assessed by IT scores at a generally accepted scale for each plant-pathogen system. Thus, multiple IT profiles of isolates are obtained and can be subjected to analysis of functional variation within and among operational units of a pathogen. Such an approach may allow better utilization of the information available in the raw data, and reveal a functional (e.g., environmental) component of pathogen variation in addition to the genetic one. New methods for measuring functional variation of plant-pathogen interaction with IT data were developed. The methods need an appropriate assessment scale and expert estimations of dissimilarity between IT scores for each plant-pathogen system (an example is presented). Analyses of a few data sets at different hierarchical levels demonstrated discrepancies in results obtained with IT phenotypes versus binary virulence phenotypes. The ability to measure functional IT-based variation offers promise as an effective tool in the study of epidemics caused by plant pathogens.

Czech name

—

Czech description

—

Type

J_imp - Article in a specialist periodical, which is included in the Web of Science database

CEP classification

—

OECD FORD branch

40106 - Agronomy, plant breeding and plant protection; (Agricultural biotechnology to be 4.4)

Project

<a href="/en/project/QH71229" target="_blank" >QH71229: Diagnostics and methods of protection against quarantine and other economically important pathogens of fruit and leafy vegetables</a><br>

Continuities

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year

2019

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

PHYTOPATHOLOGY

ISSN

0031-949X

e-ISSN

1943-7684

Volume of the periodical

109

Issue of the periodical within the volume

8

Country of publishing house

US - UNITED STATES

Number of pages

7

Pages from-to

1324-1330

UT code for WoS article

000480463600001

EID of the result in the Scopus database

2-s2.0-85070379711