2017–2019年中国南方五省规模化养猪场副猪格拉菌血清型、耐药性及β-内酰胺类耐药基因bla-TEM分子特征分析
作者:
  • 陈雨欢

    陈雨欢

    浙江农林大学动物科技学院/动物医学院, 浙江省畜禽绿色生态健康养殖应用技术研究重点实验室, 动物健康互联网检测技术浙江省工程研究中心, 浙江省动物医学与健康管理国际科技合作基地, 中澳动物健康大数据分析联合实验室, 浙江 杭州 311300
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  • 肖敏

    肖敏

    江西正邦农业科学院, 江西 南昌 330096
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  • 王雨萌

    王雨萌

    浙江农林大学动物科技学院/动物医学院, 浙江省畜禽绿色生态健康养殖应用技术研究重点实验室, 动物健康互联网检测技术浙江省工程研究中心, 浙江省动物医学与健康管理国际科技合作基地, 中澳动物健康大数据分析联合实验室, 浙江 杭州 311300
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  • 金恒琪

    金恒琪

    浙江农林大学动物科技学院/动物医学院, 浙江省畜禽绿色生态健康养殖应用技术研究重点实验室, 动物健康互联网检测技术浙江省工程研究中心, 浙江省动物医学与健康管理国际科技合作基地, 中澳动物健康大数据分析联合实验室, 浙江 杭州 311300
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  • 王馨雨

    王馨雨

    浙江农林大学动物科技学院/动物医学院, 浙江省畜禽绿色生态健康养殖应用技术研究重点实验室, 动物健康互联网检测技术浙江省工程研究中心, 浙江省动物医学与健康管理国际科技合作基地, 中澳动物健康大数据分析联合实验室, 浙江 杭州 311300
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  • 刘星雨

    刘星雨

    浙江农林大学动物科技学院/动物医学院, 浙江省畜禽绿色生态健康养殖应用技术研究重点实验室, 动物健康互联网检测技术浙江省工程研究中心, 浙江省动物医学与健康管理国际科技合作基地, 中澳动物健康大数据分析联合实验室, 浙江 杭州 311300
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  • 夏菁

    夏菁

    浙江农林大学动物科技学院/动物医学院, 浙江省畜禽绿色生态健康养殖应用技术研究重点实验室, 动物健康互联网检测技术浙江省工程研究中心, 浙江省动物医学与健康管理国际科技合作基地, 中澳动物健康大数据分析联合实验室, 浙江 杭州 311300
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  • 王晓杜

    王晓杜

    浙江农林大学动物科技学院/动物医学院, 浙江省畜禽绿色生态健康养殖应用技术研究重点实验室, 动物健康互联网检测技术浙江省工程研究中心, 浙江省动物医学与健康管理国际科技合作基地, 中澳动物健康大数据分析联合实验室, 浙江 杭州 311300
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  • 周莹珊

    周莹珊

    浙江农林大学动物科技学院/动物医学院, 浙江省畜禽绿色生态健康养殖应用技术研究重点实验室, 动物健康互联网检测技术浙江省工程研究中心, 浙江省动物医学与健康管理国际科技合作基地, 中澳动物健康大数据分析联合实验室, 浙江 杭州 311300
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  • 宋厚辉

    宋厚辉

    浙江农林大学动物科技学院/动物医学院, 浙江省畜禽绿色生态健康养殖应用技术研究重点实验室, 动物健康互联网检测技术浙江省工程研究中心, 浙江省动物医学与健康管理国际科技合作基地, 中澳动物健康大数据分析联合实验室, 浙江 杭州 311300
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  • 杨永春

    杨永春

    浙江农林大学动物科技学院/动物医学院, 浙江省畜禽绿色生态健康养殖应用技术研究重点实验室, 动物健康互联网检测技术浙江省工程研究中心, 浙江省动物医学与健康管理国际科技合作基地, 中澳动物健康大数据分析联合实验室, 浙江 杭州 311300
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基金项目:

浙江省科技重点研发计划(2019C02052);国家自然科学基金(31972656);国家级大学生创新创业训练项目(201910341040,202010341038)


Characterization of serotypes, antibiotic resistance, and bla-TEMgene of Glaesserella parasuis in large-scale pig farms in 5 southern provinces of China during 2017–2019
Author:
  • CHEN Yuhuan

    CHEN Yuhuan

    Key Laboratory of Applied Technology on Green-Eco-Healthy Animal Husbandry of Zhejiang Province, China-Australia Joint Laboratory for Animal Health Big Data Analytics, Zhejiang Provincial Engineering Research Center for Animal Health Diagnostics &Advanced Technology, Zhejiang International Science and Technology Cooperation Base for Veterinary Medicine and Health Management, College of Animal Science and Technology&College of Veterinary Medicine of Zhejiang A&F University, Hangzhou 311300, Zhejiang, China
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  • XIAO Min

    XIAO Min

    Academy of Jiangxi Zhengbang Agricultural Sciences, Nanchang 330096, Jiangxi, China
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  • WANG Yumeng

    WANG Yumeng

    Key Laboratory of Applied Technology on Green-Eco-Healthy Animal Husbandry of Zhejiang Province, China-Australia Joint Laboratory for Animal Health Big Data Analytics, Zhejiang Provincial Engineering Research Center for Animal Health Diagnostics &Advanced Technology, Zhejiang International Science and Technology Cooperation Base for Veterinary Medicine and Health Management, College of Animal Science and Technology&College of Veterinary Medicine of Zhejiang A&F University, Hangzhou 311300, Zhejiang, China
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  • JIN Hengqi

    JIN Hengqi

    Key Laboratory of Applied Technology on Green-Eco-Healthy Animal Husbandry of Zhejiang Province, China-Australia Joint Laboratory for Animal Health Big Data Analytics, Zhejiang Provincial Engineering Research Center for Animal Health Diagnostics &Advanced Technology, Zhejiang International Science and Technology Cooperation Base for Veterinary Medicine and Health Management, College of Animal Science and Technology&College of Veterinary Medicine of Zhejiang A&F University, Hangzhou 311300, Zhejiang, China
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  • WANG Xinyu

    WANG Xinyu

    Key Laboratory of Applied Technology on Green-Eco-Healthy Animal Husbandry of Zhejiang Province, China-Australia Joint Laboratory for Animal Health Big Data Analytics, Zhejiang Provincial Engineering Research Center for Animal Health Diagnostics &Advanced Technology, Zhejiang International Science and Technology Cooperation Base for Veterinary Medicine and Health Management, College of Animal Science and Technology&College of Veterinary Medicine of Zhejiang A&F University, Hangzhou 311300, Zhejiang, China
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  • LIU Xingyu

    LIU Xingyu

    Key Laboratory of Applied Technology on Green-Eco-Healthy Animal Husbandry of Zhejiang Province, China-Australia Joint Laboratory for Animal Health Big Data Analytics, Zhejiang Provincial Engineering Research Center for Animal Health Diagnostics &Advanced Technology, Zhejiang International Science and Technology Cooperation Base for Veterinary Medicine and Health Management, College of Animal Science and Technology&College of Veterinary Medicine of Zhejiang A&F University, Hangzhou 311300, Zhejiang, China
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  • XIA Jing

    XIA Jing

    Key Laboratory of Applied Technology on Green-Eco-Healthy Animal Husbandry of Zhejiang Province, China-Australia Joint Laboratory for Animal Health Big Data Analytics, Zhejiang Provincial Engineering Research Center for Animal Health Diagnostics &Advanced Technology, Zhejiang International Science and Technology Cooperation Base for Veterinary Medicine and Health Management, College of Animal Science and Technology&College of Veterinary Medicine of Zhejiang A&F University, Hangzhou 311300, Zhejiang, China
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  • WANG Xiaodu

    WANG Xiaodu

    Key Laboratory of Applied Technology on Green-Eco-Healthy Animal Husbandry of Zhejiang Province, China-Australia Joint Laboratory for Animal Health Big Data Analytics, Zhejiang Provincial Engineering Research Center for Animal Health Diagnostics &Advanced Technology, Zhejiang International Science and Technology Cooperation Base for Veterinary Medicine and Health Management, College of Animal Science and Technology&College of Veterinary Medicine of Zhejiang A&F University, Hangzhou 311300, Zhejiang, China
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  • ZHOU Yingshan

    ZHOU Yingshan

    Key Laboratory of Applied Technology on Green-Eco-Healthy Animal Husbandry of Zhejiang Province, China-Australia Joint Laboratory for Animal Health Big Data Analytics, Zhejiang Provincial Engineering Research Center for Animal Health Diagnostics &Advanced Technology, Zhejiang International Science and Technology Cooperation Base for Veterinary Medicine and Health Management, College of Animal Science and Technology&College of Veterinary Medicine of Zhejiang A&F University, Hangzhou 311300, Zhejiang, China
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  • SONG Houhui

    SONG Houhui

    Key Laboratory of Applied Technology on Green-Eco-Healthy Animal Husbandry of Zhejiang Province, China-Australia Joint Laboratory for Animal Health Big Data Analytics, Zhejiang Provincial Engineering Research Center for Animal Health Diagnostics &Advanced Technology, Zhejiang International Science and Technology Cooperation Base for Veterinary Medicine and Health Management, College of Animal Science and Technology&College of Veterinary Medicine of Zhejiang A&F University, Hangzhou 311300, Zhejiang, China
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  • YANG Yongchun

    YANG Yongchun

    Key Laboratory of Applied Technology on Green-Eco-Healthy Animal Husbandry of Zhejiang Province, China-Australia Joint Laboratory for Animal Health Big Data Analytics, Zhejiang Provincial Engineering Research Center for Animal Health Diagnostics &Advanced Technology, Zhejiang International Science and Technology Cooperation Base for Veterinary Medicine and Health Management, College of Animal Science and Technology&College of Veterinary Medicine of Zhejiang A&F University, Hangzhou 311300, Zhejiang, China
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    摘要:

    【目的】旨在分析当前规模化养殖场副猪格拉菌(Glaesserella parasuis)优势血清型、耐药特性、耐药基因与分子特征。【方法】对源自规模化养猪场21株副猪格拉菌临床分离株,采用PCR鉴定血清型;利用K-B纸片扩散法鉴定其对25种抗生素的耐药表型;采用PCR检测bla-TEMbla-NDMbla-CTX等7种耐药基因,并采用Chi-square test和Fisher exact test分析耐药表型和耐药基因型的相关性;耐药基因目的条带测序,并应用CLC Sequence Viewer软件分析β-内酰胺类耐药基因(bla-TEM)编码蛋白氨基酸关键位点差异与耐药性的关系。【结果】21株副猪格拉菌临床分离株的优势血清型为4和12型;对β-内酰胺类药物苯唑西林的耐药性较强,耐药菌占比达61.9%(13/21);多重耐药菌株占比高达90.5%(19/21);β-内酰胺类耐药基因bla-TEM携带率较高(52.4%,11/21),且bla-TEMβ-内酰胺类药物青霉素G、苯唑西林和头孢拉定的耐药性显著相关,部分bla-TEM编码氨基酸存在可能与副猪格拉菌耐药能力有关的差异位点。【结论】本研究表明,规模化养猪场的副猪格拉菌多重耐药情况仍很严重,并明确了被调查区域β-内酰胺类药物耐药率高的主要原因是携带耐药基因bla-TEM,为加强对规模化养猪场副猪格拉菌耐药性监测提供理论依据。

    Abstract:

    [Objective] To analyze the serotypes, antibiotic resistance, and resistance genes of 21 isolates of Glaesserella parasuis in large-scale pig farms.[Methods] Serotypes were identified by PCR and the resistance to 25 antibiotics with the K-B disk diffusion method. Seven resistance genes, including bla-TEM, bla-NDM, and bla-CTX, were detected by PCR. Then chi-square test and Fisher's exact test were used to analyze the association between resistance phenotypes and genotypes. The β-lactam resistance gene bla-TEM was sequenced and the sequences of amino acids encoded by bla-TEM from different isolates were compared. Finally, the relationship between the differential sites of the amino acids and antibiotic resistance was analyzed by CLC Sequence Viewer. [Results] The isolates were dominated by serotypes 4 and 12. They showed high rate (61.9%, 13/21) of resistance to β-lactam antibiotic oxacillin and 90.5% (19/21) of the isolates demonstrated multi-antibiotic resistance. bla-TEMwas identified in 52.4% (11/21) of the isolates, which was significantly correlated with the resistance phenotype of penicillin G, oxacillin, and cefradine. There were mutations of the amino acids encoded by bla-TEM among isolates, which may be related to the antibiotic resistance of the isolates.[Conclusion]Multi-antibiotic resistance of G. parasuis isolates is prevalent in large-scale pig farms, and the high rate of β-lactam resistance is attributed to the inborn resistance gene bla-TEM. The conclusion lays a theoretical basis for surveillance of antibiotic resistance of G. parasuis in large-scale pig farms.

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陈雨欢,肖敏,王雨萌,金恒琪,王馨雨,刘星雨,夏菁,王晓杜,周莹珊,宋厚辉,杨永春. 2017–2019年中国南方五省规模化养猪场副猪格拉菌血清型、耐药性及β-内酰胺类耐药基因bla-TEM分子特征分析[J]. 微生物学报, 2022, 62(8): 3039-3047

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  • 收稿日期:2021-11-28
  • 最后修改日期:2022-01-27
  • 在线发布日期: 2022-08-16
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