Issue |
E3S Web Conf.
Volume 494, 2024
International Conference on Ensuring Sustainable Development: Ecology, Energy, Earth Science and Agriculture (AEES2023)
|
|
---|---|---|
Article Number | 04005 | |
Number of page(s) | 7 | |
Section | Current Agricultural Development | |
DOI | https://doi.org/10.1051/e3sconf/202449404005 | |
Published online | 22 February 2024 |
Methods of identification of phytopathogenic bacteria Pectobacterium carotovorum subsp. carotovorum
1 Zhangir Khan West Kazakhstan Agrarian and Technical University, Uralsk, Republic of Kazakhstan
2 Ulyanovsk State Agrarian University named after P.A. Stolypin, Ulyanovsk, Russian Federation
* Corresponding author: bryskalieva@mail.ru
Bacterial infections are a global problem. The most common pathogens of infections among gram-negative bacteria are representatives of the Enterobacteriaceae family. Pectobacterium are gram-negative phytopathogenic bacteria belonging to the Enterobacteriaceae family.The purpose of the study is to develop methods for the identification of phytopathogenic bacteria. At the capacity of test components of developed identification algorithm, we used the data presented in the reference «Bergey’s Manual of Systematics of Archaea and Bacteria». research parameters and for selection of Model microorganisms bacteriological tests were reference strains of Pectobacterium carotovorum B-3455 obtained from the All-Russian collection of microorganisms and Pectobacterium carotovorum 333 from the collection of NRCEM Museum of FSBEI HE Ulyanovsk SAU named after P.А. Stolypin. From 50 samples of phytosanitary control and environmental objects, 5 strains were classified as Pectobacterium carotovorum spp. carotovorum.
© The Authors, published by EDP Sciences, 2024
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.