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首页> 美国卫生研究院文献>Applied and Environmental Microbiology >Host Species-Specific Metabolic Fingerprint Database for Enterococci and Escherichia coli and Its Application To Identify Sources of Fecal Contamination in Surface Waters
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Host Species-Specific Metabolic Fingerprint Database for Enterococci and Escherichia coli and Its Application To Identify Sources of Fecal Contamination in Surface Waters

机译：肠球菌和大肠杆菌的宿主物种特异性代谢指纹数据库及其在识别地表水中粪便污染源中的应用

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A metabolic fingerprint database of enterococci and Escherichia coli from 10 host groups of animals was developed to trace the sources of fecal contamination in surface waters. In all, 526 biochemical phenotypes (BPTs) of enterococci and 530 E. coli BPTs were obtained from 4,057 enterococci and 3,728 E. coli isolates tested. Of these, 231 Enterococcus BPTs and 257 E. coli BPTs were found in multiple host groups. The remaining 295 Enterococcus BPTs and 273 E. coli BPTs were unique to individual host groups. The database was used to trace the sources of fecal contamination in a local creek. The mean diversities (Di) of enterococci (Di = 0.76 ± 0.05) and E. coli (Di = 0.88 ± 0.04) were high (maximum 1) in water samples, indicating diverse sources of fecal contamination. Overall, 71% of BPTs of enterococci and 67% of E. coli BPTs from water samples were identified as human and animal sources. Altogether, 248 Enterococcus BPTs and 282 E. coli BPTs were found in water samples. Among enterococci, 26 (10%) BPTs were identical to those of humans and 152 BPTs (61%) were identical to those of animals (animal BPTs). Among E. coli isolates, 36 (13%) BPTs were identical to those of humans and 151 (54%) BPTs were identical to those of animals. Of the animal BPTs, 101 (66%) Enterococcus BPTs and 93 (62%) E. coli BPTs were also unique to individual animal groups. On the basis of these unique Enterococcus BPTs, chickens contributed 14% of contamination, followed by humans (10%), dogs (7%), and horses (6%). For E. coli, humans contributed 13% of contamination, followed by ducks (9%), cattle (7%), and chickens (6%). The developed metabolic fingerprint database was able to distinguish between human and animal sources as well as among animal species in the studied catchment.
机译：建立了来自10个动物宿主组的肠球菌和大肠杆菌的代谢指纹数据库，以追踪地表水中粪便污染的来源。总共从4,057个肠球菌和3,728个大肠杆菌分离物中获得了526个肠球菌的生化表型（BPT）和530个大肠杆菌BPT。其中，在多个宿主组中发现了231种肠球菌BPT和257种大肠杆菌BPT。其余的295个肠球菌BPT和273个E. coli BPT对各个宿主组而言是唯一的。该数据库用于追踪当地小溪中粪便污染的来源。水样中肠球菌（Di = 0.76±0.05）和大肠杆菌（Di = 0.88±0.04）的平均多样性（Di）高（最大1），表明粪便污染的来源多种多样。总体而言，来自水样的肠球菌BPT和大肠杆菌BPT的67％被确定为人和动物来源。在水样本中共发现248个肠球菌BPT和282个大肠杆菌BPT。在肠球菌中，有26种（10％）BPT与人类相同，有152种BPT（61％）与动物（动物BPT）相同。在大肠杆菌分离物中，有36种（13％）BPT与人类相同，有151种（54％）BPT与动物相同。在动物BPT中，101个（66％）肠球菌BPT和93个（62％）大肠杆菌BPT对各个动物组也是独特的。根据这些独特的肠球菌BPT，鸡造成了14％的污染，其次是人（10％），狗（7％）和马（6％）。对于大肠杆菌，人类造成了13％的污染，其次是鸭（9％），牛（7％）和鸡（6％）。发达的代谢指纹数据库能够区分人类和动物来源以及所研究流域的动物种类。

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