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The use of Bacteroides Specific Molecular Markers to Identify Sources of Fecal Contamination in Natural Waters

机译:使用拟杆菌属的特定分子标记物鉴定天然水中粪便污染的来源

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Knowing the origin of fecal pollution of water is paramount in assessing the safety ofrnsurface waters and in developing effective pollution control strategies. Bacteroides-specificrnmolecular markers have been widely used to differentiate human sources of fecal bacteria fromrnother sources in waters. However, recent work in our lab indicated that many assays/methodsrncurrently used to detect human-specific Bacteroides produce false positive results in the presencernof fish (tilapia, catfish, trout, salmon) fecal DNA, which is widely prevalent in surface waters.rnEvaluation of five protocols previously reported as human-specific showed that in 80% of casesrnfecal DNA from at least one fish species was amplified providing false positive results. Thisrnsituation highlights the need for accurate molecular assays for the identification of fecal sourcesrnfrom human origin. It was hypothesized that sequencing of the Bacteroides genome from purernculture isolates from fish and human feces may help in identifying unique molecular markers,rnwhich can potentially be used to develop a more stringent assay that can be utilized torndifferentiate between human and fish fecal pollution of surface water.rnTotal Bacteroides from human and fish feces were isolated using blood agar and eachrnisolate was further streaked on BBE agar to obtain pure cultures. The pure cultures were enrichedrnin Chopped Meat Broth Medium and identified using rapid ID 32A API strip. In human feces, B.rnvulgatus were the dominant species; whereas, B. eggerthii were the dominant species in tilapiarnfeces. Bacteroides from grass carp, channel catfish and blue catfish were either B. uniformis, B.rnovatus, or B. sterocoris.rnThe pure cultures of Bacteroides species from human and fish were sequenced andrngenomic data was analyzed to assess relatedness of Bacteroides isolates. Sequences from cultured human Bacteroides, and sequences from each of the cultured fish Bacteroides (tilapia,rngrass carp, blue catfish, channel cat fish and trout) were aligned using Multi-align interfacernsoftware. Phylogenic analyses showed distinct Bacteroides groupings from each fish species,rnwhile human sequences clustered with B. vulgatus. Bioinformatics analyses of genomic datarnidentified the regions of 16S rRNA with the highest variability. These variable regions willrnprovide a basis for developing a new microbial source tracking method targeting a humanspecificrnBacteroides molecular marker.
机译:了解粪便污染的源头对于评估地表水的安全性和制定有效的污染控制策略至关重要。杀菌剂特异性分子标记已被广泛用于区分人类粪便细菌来源与水中其他来源。但是,我们实验室的最新工作表明,目前用于检测人类特异性拟杆菌的许多检测方法/方法会在存在的鱼类(罗非鱼,cat鱼,鳟鱼,鲑鱼)粪便DNA中产生假阳性结果,该DNA在地表水中普遍存在。先前报道为人类特异性的五种方案表明,在至少80%的情况下,至少一种鱼类的粪便DNA被扩增,从而提供假阳性结果。这种情况突显了对用于鉴定人源粪便来源的精确分子测定的需求。假设从鱼类和人粪便的纯培养分离物中分离出的拟杆菌属基因组测序可能有助于鉴定独特的分子标记,这有可能用于开发更严格的测定方法,从而可用于区分人和鱼粪便对地表水的污染使用血琼脂分离人和鱼粪中的总拟杆菌,并将每种分离物进一步在BBE琼脂上划线,以获得纯培养物。在切碎的肉汤培养基中富集纯培养物,并使用快速ID 32A API条进行鉴定。在人类粪便中,B.rnvulgatus是优势种。然而,B。eggerthii是罗非鱼的优势种。来自草鱼,河道cat鱼和蓝cat鱼的拟杆菌属均为统一芽孢杆菌,新芽孢杆菌或固醇芽孢杆菌。对人和鱼类的拟杆菌属细菌的纯培养物进行了测序,并对基因组数据进行了分析,以评估拟南芥分离株的相关性。使用Multi-aligninterface®软件比对人类养殖拟杆菌的序列以及每种养殖鱼类拟杆菌的序列(罗非鱼,草鱼,蓝cat鱼,斑cat鱼和鳟鱼)。系统发育分析表明,每种鱼类都有不同的拟杆菌属,而人类序列则与普通双歧杆菌成簇。基因组数据的生物信息学分析确定了具有最高变异性的16S rRNA区域。这些可变区将为开发针对人类特定细菌的分子标记的新型微生物来源追踪方法提供基础。

著录项

  • 来源
  • 会议地点 Phoenix AZ(US);Phoenix AZ(US)
  • 作者单位

    Civil, Environmental Sustainable Engineering National Science Foundation Water Environmental Technology Center Arizona State University, Tempe, AZ, USA;

    Civil, Environmental Sustainable Engineering National Science Foundation Water Environmental Technology Center Arizona State University, Tempe, AZ, USA;

    Civil, Environmental Sustainable Engineering National Science Foundation Water Environmental Technology Center Arizona State University, Tempe, AZ, USA;

    University of Arizona Maricopa Agricultural Center, Maricopa, AZ, USA;

    USDA-ARS, US Arid-Land Agricultural Research Center, Maricopa, AZ, USA;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 水质;水质;
  • 关键词

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