Metagenomic Analysis of Microbial Contamination in the U.S. Portion of the Tijuana River Watershed.
Metagenomic Analysis of Microbial Contamination in the U.S. Portion of the Tijuana River Watershed.
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DOI：
10.3390/ijerph20010600
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发表时间：
2022-12-29
影响因子：
--
通讯作者：
Sant, Karilyn E. E.
中科院分区：
文献类型：
--
作者：
Allsing, Nicholas;Kelley, Scott T. T.;Fox, Alexandra N. N.;Sant, Karilyn E. E.
关键词：
蒂华纳河流域是两国的，从蒂华纳，墨西哥流入圣地亚哥和帝国海滩，美国。蒂华纳老化的污水和雨水基础设施跟不上人口增长的步伐，导致在重大降雨或设备故障时，水溢出到这个流域。这一受损的分水岭对周围社区的公共卫生后果仍然未知。在这里，我们进行了非靶向宏基因组测序，以更好地表征蒂华纳河的污水污染，确定潜在的病原体和表面沃茨中抗生素耐药性的分子指标。在2019-2020年，在主要降雨事件发生后48小时内，在五个跨境流动地点以及蒂华纳河和河口美国部分的河口收集了水样。过滤后，提取DNA并测序，并通过Kaiju分类程序运行序列。构建了每个样本中存在的最丰富的致病微生物和病毒的病原体概况，并确定了粪便污染的特定标志物并与每个站点相关联。多样性分析结果表明，不同地点和不同日期的小麦品种间既有明显的差异，又有相似性，且在每个地点均发现了抗逆基因。这可作为这些当地社区微生物暴露的基线特征。
The Tijuana River watershed is binational, flowing from Tijuana, Mexico into San Diego and Imperial Beach, USA. Aging sewage and stormwater infrastructure in Tijuana has not kept pace with population growth, causing overflows into this watershed during major rainfall or equipment failures. The public health consequences of this impaired watershed on the surrounding communities remain unknown. Here, we performed untargeted metagenomic sequencing to better characterize the sewage contamination in the Tijuana River, identifying potential pathogens and molecular indicators of antibiotic resistance in surface waters. In 2019–2020, water samples were collected within 48 h of major rainfall events at five transborder flow sites and at the mouth of the river in the US portion of the Tijuana River and estuary. After filtration, DNA was extracted and sequenced, and sequences were run through the Kaiju taxonomic classification program. A pathogen profile of the most abundant disease-causing microbes and viruses present in each of the samples was constructed, and specific markers of fecal contamination were identified and linked to each site. Results from diversity analysis between the sites showed clear distinction as well as similarities between sites and dates, and antibiotic-resistant genes were found at each site. This serves as a baseline characterization of microbial exposures to these local communities.
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影响因子：
48
作者：
Langmead, Ben;Salzberg, Steven L.
通讯作者：
Salzberg, Steven L.
影响因子：
4.1
作者：
Majiduddin, FK;Materon, IC;Palzkill, TG
通讯作者：
Palzkill, TG
在元基因组干草堆中找到针。
影响因子：
3.6
作者：
Kowalchuk, George A.;Speksnijder, Arjen G. C. L.;Zhang, Kun;Goodman, Robert M.;van Veen, Johannes A.
通讯作者：
van Veen, Johannes A.
影响因子：
3
作者：
Camacho C;Coulouris G;Avagyan V;Ma N;Papadopoulos J;Bealer K;Madden TL
通讯作者：
Madden TL
影响因子：
4.7
作者：
Morozova, Vera;Fofanov, Mikhail;Tikunov, Artem
通讯作者：
Tikunov, Artem