首页> 美国卫生研究院文献>Applied and Environmental Microbiology >Alternative Fecal Indicators and Their Empirical Relationships with Enteric Viruses Salmonella enterica and Pseudomonas aeruginosa in Surface Waters of a Tropical Urban Catchment
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Alternative Fecal Indicators and Their Empirical Relationships with Enteric Viruses Salmonella enterica and Pseudomonas aeruginosa in Surface Waters of a Tropical Urban Catchment

机译:热带城市集水区地表水中替代性粪便指标及其与肠道病毒肠沙门氏菌和铜绿假单胞菌的经验关系

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摘要

The suitability of traditional microbial indicators (i.e., Escherichia coli and enterococci) has been challenged due to the lack of correlation with pathogens and evidence of possible regrowth in the natural environment. In this study, the relationships between alternative microbial indicators of potential human fecal contamination (Bacteroides thetaiotaomicron, Methanobrevibacter smithii, human polyomaviruses [HPyVs], and F+ and somatic coliphages) and pathogens (Salmonella spp., Pseudomonas aeruginosa, rotavirus, astrovirus, norovirus GI, norovirus GII, and adenovirus) were compared with those of traditional microbial indicators, as well as environmental parameters (temperature, conductivity, salinity, pH, dissolved oxygen, total organic carbon, total suspended solids, turbidity, total nitrogen, and total phosphorus). Water samples were collected from surface waters of urban catchments in Singapore. Salmonella and P. aeruginosa had significant positive correlations with most of the microbial indicators, especially E. coli and enterococci. Norovirus GII showed moderately strong positive correlations with most of the microbial indicators, except for HPyVs and coliphages. In general, high geometric means and significant correlations between human-specific markers and pathogens suggest the possibility of sewage contamination in some areas. The simultaneous detection of human-specific markers (i.e., B. thetaiotaomicron, M. smithii, and HPyVs) with E. coli and enterococcus supports the likelihood of recent fecal contamination, since the human-specific markers are unable to regrow in natural surface waters. Multiple-linear-regression results further confirm that the inclusion of M. smithii and HPyVs, together with traditional indicators, would better predict the occurrence of pathogens. Further study is needed to determine the applicability of such models to different geographical locations and environmental conditions.
机译:由于缺乏与病原体的相关性以及在自然环境中可能再生的证据,传统微生物指标(即大肠杆菌和肠球菌)的适用性受到了挑战。在这项研究中,潜在人类粪便污染的替代微生物指标(拟杆菌杆菌,史密斯甲烷微杆菌,人类多瘤病毒[HPyVs],F +和体性噬菌体)与病原体(沙门氏菌,铜绿假单胞菌,轮状病毒,星状病毒,诺如病毒)之间的关系,诺如病毒GII和腺病毒)与传统微生物指标以及环境参数(温度,电导率,盐度,pH,溶解氧,总有机碳,总悬浮固体,浊度,总氮和总磷)进行了比较。水样是从新加坡城市集水区的地表水收集的。沙门氏菌和铜绿假单胞菌与大多数微生物指标呈显着正相关,尤其是大肠杆菌和肠球菌。诺如病毒GII与大多数微生物指标呈中等程度的正相关,除了HPyV和巨噬细胞。通常,较高的几何平均值以及人类特异性标记物和病原体之间的显着相关性表明某些地区可能存在污水污染。用大肠杆菌和肠球菌同时检测人类特异性标志物(例如,B。thetaiotaomicron,史密斯氏菌和HPyVs)支持了近期粪便污染的可能性,因为人类特异性标志物无法在天然地表水中再生。多元线性回归结果进一步证实,将史密斯氏菌和HPyVs与传统指标一起纳入将更好地预测病原体的发生。需要进一步研究以确定此类模型对不同地理位置和环境条件的适用性。

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