Arcobacter is an emerging foodborne pathogen worldwide.In this study,the prevalence,antimicrobial susceptibility and genetic characteristics of Arcobacter from different sources were investigated.Eighteen A.butzleri i...Arcobacter is an emerging foodborne pathogen worldwide.In this study,the prevalence,antimicrobial susceptibility and genetic characteristics of Arcobacter from different sources were investigated.Eighteen A.butzleri isolates were obtained from 60 raw chicken meat samples(16/60,27%)and 150 patients with diarrhea(2/150,1.3%).The resistance ratios to nalidixic acid,ciprofloxacin,clindamycin,chloramphenicol,and florfenicol were 83.33%(15/18),38.89%(7/18),38.89%(7/18),33.33%(6/18)and 33.33%(6/18),respectively.We performed whole genome sequencing of the 18 isolates,and we predicted antibiotic resistance genes and virulence factors by using assembled genomes through blastx analysis.Two resistance genes,blaOXA-464 and tet(H),and the C254T mutation in gyrA,were identified in the genomes of some resistant isolates.Furthermore,virulence genes,such as flgG,flhA,flhB,fliI,fliP,motA,cadF,cjl349,ciaB,mviN,pldA and tlyA,were found in all strains,whereas hecA,hecB and iroE were found in only some strains.Phylogenetic tree analysis of A.butzleri isolates on the basis of the core-genome single nucleotide polymorphisms showed that two isolates from patients with diarrhea clustered together,separately from the isolates from raw chicken and the chicken strains.This study is the first comprehensive analysis of Arcobacter isolated in Beijing.展开更多
对低温(0~10℃)、室温(25℃)和变温贮藏条件下养殖大菱鲆的细菌种群变化进行研究,确定不同温度条件下养殖大菱鲆的优势腐败菌和货架期,并采用Exponential、School-field和Square-root方程构建货架期预测模型,并对货架期预测模型的适用...对低温(0~10℃)、室温(25℃)和变温贮藏条件下养殖大菱鲆的细菌种群变化进行研究,确定不同温度条件下养殖大菱鲆的优势腐败菌和货架期,并采用Exponential、School-field和Square-root方程构建货架期预测模型,并对货架期预测模型的适用性进行评价和验证。结果显示,低温贮藏大菱鲆货架期为6.1~32.6 d,优势腐败菌为腐败希瓦氏菌(40.3%)和假单胞菌属(27.4%),室温时货架期为1.3 d,优势腐败菌为气单胞菌(47.1%)和腐败希瓦氏菌(29.4%);构建的Exponential、School-field和Square-root货架期模型参数分别为温度特征系数a=0.12,T_(min)=-6.6℃,表观活化能(E_a)为81.4 k J/mol,采用均方根误差、残差平方和、偏差度、准确度对模型的拟合优度进行比较,Square-root模型预测性能最优,用恒温和变温对3种货架期预测模型进行验证,显示Square-root货架期模型误差最小,可有效预测恒温和变温条件下大菱鲆的货架期。展开更多
基金supported by National Key Research and Development Program of China [grant No.:2021YFC2301000]the Academic Commission of Shunyi District Center for Disease Control and Prevention,Beijing,China。
文摘Arcobacter is an emerging foodborne pathogen worldwide.In this study,the prevalence,antimicrobial susceptibility and genetic characteristics of Arcobacter from different sources were investigated.Eighteen A.butzleri isolates were obtained from 60 raw chicken meat samples(16/60,27%)and 150 patients with diarrhea(2/150,1.3%).The resistance ratios to nalidixic acid,ciprofloxacin,clindamycin,chloramphenicol,and florfenicol were 83.33%(15/18),38.89%(7/18),38.89%(7/18),33.33%(6/18)and 33.33%(6/18),respectively.We performed whole genome sequencing of the 18 isolates,and we predicted antibiotic resistance genes and virulence factors by using assembled genomes through blastx analysis.Two resistance genes,blaOXA-464 and tet(H),and the C254T mutation in gyrA,were identified in the genomes of some resistant isolates.Furthermore,virulence genes,such as flgG,flhA,flhB,fliI,fliP,motA,cadF,cjl349,ciaB,mviN,pldA and tlyA,were found in all strains,whereas hecA,hecB and iroE were found in only some strains.Phylogenetic tree analysis of A.butzleri isolates on the basis of the core-genome single nucleotide polymorphisms showed that two isolates from patients with diarrhea clustered together,separately from the isolates from raw chicken and the chicken strains.This study is the first comprehensive analysis of Arcobacter isolated in Beijing.
文摘对低温(0~10℃)、室温(25℃)和变温贮藏条件下养殖大菱鲆的细菌种群变化进行研究,确定不同温度条件下养殖大菱鲆的优势腐败菌和货架期,并采用Exponential、School-field和Square-root方程构建货架期预测模型,并对货架期预测模型的适用性进行评价和验证。结果显示,低温贮藏大菱鲆货架期为6.1~32.6 d,优势腐败菌为腐败希瓦氏菌(40.3%)和假单胞菌属(27.4%),室温时货架期为1.3 d,优势腐败菌为气单胞菌(47.1%)和腐败希瓦氏菌(29.4%);构建的Exponential、School-field和Square-root货架期模型参数分别为温度特征系数a=0.12,T_(min)=-6.6℃,表观活化能(E_a)为81.4 k J/mol,采用均方根误差、残差平方和、偏差度、准确度对模型的拟合优度进行比较,Square-root模型预测性能最优,用恒温和变温对3种货架期预测模型进行验证,显示Square-root货架期模型误差最小,可有效预测恒温和变温条件下大菱鲆的货架期。
