Vadde Kiran Kumar, McCarthy Alan J, Rong Rong, Sekar Raju
Department of Biological Sciences, Xi'an Jiaotong-Liverpool University, Suzhou, China.
Microbiology Research Group, Institute of Integrative Biology, University of Liverpool, Liverpool, United Kingdom.
Front Microbiol. 2019 Apr 24;10:699. doi: 10.3389/fmicb.2019.00699. eCollection 2019.
Taihu Lake is one of the largest freshwater lakes in China, serving as an important source of drinking water; >60% of source water to this lake is provided by the Tiaoxi River. This river faces serious fecal contamination issues, and therefore, a comprehensive investigation to identify the sources of fecal contamination was carried out and is presented here. The performance of existing universal (BacUni and GenBac), human (HF183-Taqman, HF183-SYBR, BacHum, and Hum2), swine (Pig-2-Bac), ruminant (BacCow), and avian (AV4143 and GFD) associated microbial source tracking (MST) markers was evaluated prior to their application in this region. The specificity and sensitivity results indicated that BacUni, HF183-TaqMan, Pig-2-Bac, and GFD assays are the most suitable in identifying human and animal fecal contamination. Therefore, these markers along with marker genes specific to selected bacterial pathogens were quantified in water and sediment samples of the Tiaoxi River, collected from 15 locations over three seasons during 2014 and 2015. Total/universal markers were detected in all water and sediment samples (mean concentration 6.22 log gene copies/100 ml and 6.11 log gene copies/gram, respectively), however, the detection of host-associated MST markers varied. Human and avian markers were the most frequently detected in water samples (97 and 89%, respectively), whereas in sediment samples, only human-associated markers were detected more often (86%) than swine (64%) and avian (8.8%) markers. The results indicate that several locations in the Tiaoxi River are heavily polluted by fecal contamination and this correlated well with land use patterns. Among the five bacterial pathogens tested, spp. and were the most frequently detected pathogens in water (60% and 62%, respectively) and sediment samples (91% and 53%, respectively). Shiga toxin-producing (STEC) and pathogenic spp. were less frequently detected in water samples (55% and 33%, respectively) and sediment samples (51% and 13%, respectively), whereas O157:H7 was only detected in sediment samples (11%). Overall, the higher prevalence and concentrations of spp., and STEC, along with the MST marker detection at a number of locations in the Tiaoxi River, indicates poor water quality and a significant human health risk associated with this watercourse. GRAPHICAL ABSTRACTTracking fecal contamination and pathogens in watersheds using molecular methods.
太湖是中国最大的淡水湖之一,是重要的饮用水源;该湖60%以上的水源来自苕溪。这条河面临着严重的粪便污染问题,因此,开展了一项全面调查以确定粪便污染的来源,并在此进行介绍。在将现有的通用(BacUni和GenBac)、人类(HF183 - Taqman、HF183 - SYBR、BacHum和Hum2)、猪(Pig - 2 - Bac)、反刍动物(BacCow)和禽类(AV4143和GFD)相关的微生物源追踪(MST)标记物应用于该地区之前,对其性能进行了评估。特异性和敏感性结果表明,BacUni、HF183 - TaqMan、Pig - 2 - Bac和GFD检测方法最适合用于识别人类和动物粪便污染。因此,在2014年和2015年的三个季节里,从苕溪15个地点采集的水和沉积物样本中,对这些标记物以及选定细菌病原体的特异性标记基因进行了定量分析。在所有水和沉积物样本中均检测到了总/通用标记物(平均浓度分别为6.22 log基因拷贝数/100 ml和6.11 log基因拷贝数/克),然而,宿主相关的MST标记物的检测情况各不相同。人类和禽类标记物在水样中检测频率最高(分别为97%和89%),而在沉积物样本中,仅人类相关标记物的检测频率(86%)高于猪(64%)和禽类(8.8%)标记物。结果表明,苕溪的几个地点受到粪便污染的严重影响,这与土地利用模式密切相关。在所检测的五种细菌病原体中,[具体病原体名称1]和[具体病原体名称2]是水样(分别为60%和62%)和沉积物样本(分别为91%和53%)中最常检测到的病原体。产志贺毒素大肠杆菌(STEC)和致病性[具体病原体名称3]在水样(分别为55%和33%)和沉积物样本(分别为51%和13%)中检测频率较低,而O157:H7仅在沉积物样本中检测到(11%)。总体而言,[具体病原体名称1]、[具体病原体名称2]和STEC的较高流行率和浓度,以及苕溪多个地点的MST标记物检测结果,表明水质较差,与这条水道相关的人类健康风险很大。
使用分子方法追踪流域中的粪便污染和病原体。