Full
Outline
In order to understand the drug resistance and virulence gene distribution of Riemerella anatipestifer isolates in some areas of China， K-B method was used to determine the sensitivity of 15 serotypes of R. anatipestifer to 10 commonly used antibiotics， and PCR technology was used to detect 16 drug resistance genes and 16 virulence genes of different serotypes of R. anatipestifer isolates. The results showed that the resistance rates of amoxicillin and ampicillin were 93.33% and 80%， respectively. The detection results of drug-resistant genes showed that the detection rates of tet（X） gene of tetracycline， floR gene of amide alcohol and aph（3'）-Ⅱ gene of aminoglycoside were 93.33%， 80% and 73.33% respectively. The results of virulence gene detection showed that tctR， TbdR1， TR， CAMP and AS87-0405 had the highest detection rates， which were 86.67%， 86.67%， 80%， 73.33% and 73.33% respectively. These isolates are sensitive to tetracyclines， quinolones and amide alcohols， and have high resistance to β-lactams. At the same time， these isolates carry a variety of virulence genes， which may indicate that they have strong virulence. The above results provide some reference for the prevention and control of R. anatipestifer in some areas of China.
159
72
| 科 Family | 属数 Number of genus | 种数 Number of species | 占总种数比例 Percentage of total species (%) | 属 Genus | 种数 Number of species | 占总种数比例 Percentage of total species (%) |
|---|---|---|---|---|---|---|
| 鹅膏菌科Amanitaceae | 2 | 11 | 5.26 | 鹅膏菌属 Amanita | 10 | 4.78 |
| 小菇科 Mycenaceae | 2 | 12 | 5.74 | 丝盖伞属 Inocybe | 5 | 2.39 |
| 多孔菌科 Polyporaceae | 8 | 14 | 6.70 | 蜡蘑属 Laccaria | 5 | 2.39 |
| 红菇科 Russulaceae | 3 | 23 | 11.00 | 小皮伞属 Marasmius | 6 | 2.87 |
| 小菇属 Mycena | 11 | 5.26 | ||||
| 光柄菇属 Pluteus | 5 | 2.39 | ||||
| 红菇属 Russula | 17 | 8.13 | ||||
| 栓菌属 Trametes | 5 | 2.39 |
关闭全屏
No. 86 Xueyuan South Road, Haidian District, Beijing
010-62662699(Operation and Technical Support)
qkjq@cast.org.cn
Copyright © 2025 China Association for Science and Technology. All rights reserved. For all open access content, the relevant licensing terms apply.
Sponsored by the Office of the Leading Group for Cybersecurity and Informatization of CAST, and supported by Science and Technology Review Publishing House
