Method for simultaneous detection of Phytophthora infestans proteins and DNA in Solanum tuberosum samples
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F62156489%3A43210%2F21%3A43921815" target="_blank" >RIV/62156489:43210/21:43921815 - isvavai.cz</a>
Result on the web
<a href="https://mendelnet.cz/media/mnet_2021_full.pdf" target="_blank" >https://mendelnet.cz/media/mnet_2021_full.pdf</a>
DOI - Digital Object Identifier
—
Alternative languages
Result language
angličtina
Original language name
Method for simultaneous detection of Phytophthora infestans proteins and DNA in Solanum tuberosum samples
Original language description
Phytophthora infestans is a model organism for the oomycetes, a distinct lineage of funguslike eukaryotes. However, P. infestans is primarily known as a pathogen that causes the serious potato and tomato disease known as late blight. The means of controlling late blight are limited and require early detection of the pathogen. One of the most reliable method for targeted quantitation is based on qPCR. The amount of sample is often limited, which does not allow the use of other analyses such as proteome analysis by LC-MS. Here, we describe the optimized extraction method for simultaneously extracting the DNA and proteins from an infected leaf of Solanum tuberosum. Simultaneous analysis of the amount of P. infestans DNA and the proteome composition from the infected leaf opens possibilities for a better understanding of the interaction between P. infestans and the plant.
Czech name
—
Czech description
—
Classification
Type
D - Article in proceedings
CEP classification
—
OECD FORD branch
40106 - Agronomy, plant breeding and plant protection; (Agricultural biotechnology to be 4.4)
Result continuities
Project
<a href="/en/project/QK1910045" target="_blank" >QK1910045: Identification of metabolites correlating with quantitative resistance to Phytophthora infestans</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2021
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
MendelNet 2021: Proceedings of International PhD Students Conference
ISBN
978-80-7509-821-4
ISSN
—
e-ISSN
—
Number of pages
5
Pages from-to
337-341
Publisher name
Mendelova univerzita v Brně
Place of publication
Brno
Event location
Brno
Event date
Nov 10, 2021
Type of event by nationality
EUR - Evropská akce
UT code for WoS article
—