Assessing antibiotic resistance in fecal Escherichia coli in young calves using cluster analysis techniques

Assessing antibiotic resistance in fecal Escherichia coli in young calves using cluster analysis techniques
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DOI:
10.1016/s0167-5877(03)00191-0
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发表时间:
2003-10-15
影响因子:
2.6
通讯作者:
Sischo, WM
Sischo, WM
中科院分区:
农林科学2区
文献类型:
--
作者:
Berge, ACB;Atwill, ER;Sischo, WM

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本研究使用聚类分析技术来描述小牛粪便大肠杆菌(E。大肠杆菌)。在断奶前期间,每隔2周对6个农场的30头奶牛进行一次采样。在每次取样时,5个粪便E.采用纸片扩散法分析每头犊牛的大肠杆菌分离株对12种抗生素的抗生素敏感性。所有分离株的特征均由每种评价抗生素的总抑菌圈测量值组成。对几种聚类分析算法进行了评价,并对E.大肠杆菌分离株。对于我们的数据,Ward的最小方差法符合研究目标。相对于抗性簇的可能组合的数量,开发了一组14种模式的简约集。这套E.大肠杆菌分离株对不同抗生素的耐药模式有限,表明某些耐药基因可能是连锁的。(C)2003 Elsevier B.V.保留所有权利。
This study uses cluster analysis techniques to describe the antibiotic susceptibility patterns seen in calf fecal Escherichia coli (E. coli). Cohorts of 30 dairy calves at six farms were sampled at 2-week intervals during the pre-weaning period. At each sampling occasion five fecal E. coli isolates per calf were analyzed for antibiotic susceptibility to 12 antibiotics using the disk diffusion method. All isolates had a profile consisting of the aggregate measured inhibition zone size for each of the evaluated antibiotics. Several cluster analytic algorithms were assessed to partition the E. coli isolates. For our data, Ward's minimum variance method met the objectives of the study. Relative to the number of possible combinations of resistance clusters, a parsimonious set of 14 patterns was developed. This set of E. coli isolates exhibited a limited set of resistance patterns to the different antibiotics indicating that certain resistance genes may be linked. (C) 2003 Elsevier B.V. All rights reserved.