Wenjing Ren, Eve F Brantley, Xu Wang, Joan B Rose, Yucheng Feng
{"title":"Using bacterial and mitochondrial DNA markers to assess fecal pollution sources in stream water and sediments of a mixed land-use watershed.","authors":"Wenjing Ren, Eve F Brantley, Xu Wang, Joan B Rose, Yucheng Feng","doi":"10.1093/jambio/lxaf021","DOIUrl":null,"url":null,"abstract":"<p><strong>Aims: </strong>Although stream bed sediment can be an important reservoir of fecal bacteria and pathogens, it is rarely analyzed when assessing microbial water quality. This study aims to identify fecal contamination sources in stream water and sediment and evaluate the impact of rainfall events on microbial water quality in a mixed land-use watershed.</p><p><strong>Methods and results: </strong>Quantitative polymerase chain reaction (qPCR) was employed to quantify human-, cattle-, and chicken-associated genetic markers during dry and wet periods in the Middle Tallapoosa watershed in Alabama, USA. Human- and cattle-associated markers were consistently detected in water samples, irrespective of precipitation, whereas chicken-associated markers were predominantly found following significant rainfall events. In the sediment, all markers were detected at higher concentrations but with lower frequency than in the water. E. coli concentrations in water samples correlated significantly with 2-day antecedent rainfall and streamflow and were substantially lower than in the sediment.</p><p><strong>Conclusions: </strong>Humans and cattle were the primary contamination sources in the study area, and runoff from storms and sediment contributed to fecal contamination in the streams.</p>","PeriodicalId":15036,"journal":{"name":"Journal of Applied Microbiology","volume":" ","pages":""},"PeriodicalIF":3.2000,"publicationDate":"2025-01-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Applied Microbiology","FirstCategoryId":"99","ListUrlMain":"https://doi.org/10.1093/jambio/lxaf021","RegionNum":3,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"BIOTECHNOLOGY & APPLIED MICROBIOLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
Aims: Although stream bed sediment can be an important reservoir of fecal bacteria and pathogens, it is rarely analyzed when assessing microbial water quality. This study aims to identify fecal contamination sources in stream water and sediment and evaluate the impact of rainfall events on microbial water quality in a mixed land-use watershed.
Methods and results: Quantitative polymerase chain reaction (qPCR) was employed to quantify human-, cattle-, and chicken-associated genetic markers during dry and wet periods in the Middle Tallapoosa watershed in Alabama, USA. Human- and cattle-associated markers were consistently detected in water samples, irrespective of precipitation, whereas chicken-associated markers were predominantly found following significant rainfall events. In the sediment, all markers were detected at higher concentrations but with lower frequency than in the water. E. coli concentrations in water samples correlated significantly with 2-day antecedent rainfall and streamflow and were substantially lower than in the sediment.
Conclusions: Humans and cattle were the primary contamination sources in the study area, and runoff from storms and sediment contributed to fecal contamination in the streams.
期刊介绍:
Journal of & Letters in Applied Microbiology are two of the flagship research journals of the Society for Applied Microbiology (SfAM). For more than 75 years they have been publishing top quality research and reviews in the broad field of applied microbiology. The journals are provided to all SfAM members as well as having a global online readership totalling more than 500,000 downloads per year in more than 200 countries. Submitting authors can expect fast decision and publication times, averaging 33 days to first decision and 34 days from acceptance to online publication. There are no page charges.