Isolation and Identification of <i>Burkholderia gladioli </i>pathovar<i> cocovenenans</i> from Black Fungus and Characteristics of the <i>Bon</i> Gene Cluster — Shanghai Municipality, China, 2023

Diagnostic polymerase chain reaction methods could enable rapid identification of BA-producing <i>BGC</i>, providing a potential clinical risk marker. People should avoid eating fungi products soaked 24 hours or more, no matter the temperature.

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Publication Details

Journal
China CDC Weekly
Published
2025-01-01
DOI
https://doi.org/10.46234/ccdcw2025.143
Primary Topic
Plant Pathogens and Fungal Diseases
Type
article
Field-Weighted Citation Impact
0.00
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article

Isolation and Identification of Burkholderia gladioli pathovar cocovenenans from Black Fungus and Characteristics of the Bon Gene Cluster — Shanghai Municipality, China, 2023

Qingli Dong, Haijian Zhou, Xinyu Hong, Jiawei Zhao et al.
China CDC Weekly
Plant Pathogens and Fungal Diseases
article

Isolation and Identification of Burkholderia gladioli pathovar cocovenenans from Black Fungus and Characteristics of the Bon Gene Cluster — Shanghai Municipality, China, 2023

Qingli Dong, Haijian Zhou, Xinyu Hong, Jiawei Zhao, Zhixin Fang, Min Chen, Xin Liu, Quan Xiao, Hongzhi Zhang, Chengbing Dai, Lingling Xiong, Huanyu Wu
article en

Abstract

Diagnostic polymerase chain reaction methods could enable rapid identification of BA-producing <i>BGC</i>, providing a potential clinical risk marker. People should avoid eating fungi products soaked 24 hours or more, no matter the temperature.

China CDC WeeklyVol. 7(25)
University of Shanghai for Science and Technology (CN), National Institute for Communicable Disease Control and Prevention (CN), Shanghai Municipal Center For Disease Control Prevention (CN)
Sustainable cities and communities
Openalex Percentile: Top 85%
Plant Pathogens and Fungal Diseases
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Isolation and Identification of &lt;i&gt;Burkholderia gladioli &lt;/i&gt;pathovar&lt;i&gt; cocovenenans&lt;/i&gt; from Black Fungus and Characteristics of the &lt;i&gt;Bon&lt;/i&gt; Gene Cluster — Shanghai Municipality, China, 2023 — Qingli Dong, Haijian Zhou, et al. · China CDC Weekly (2025) | TGRS Research Map | TGRS