题名 | Developing a novel Bifidobacterium phage quantitative polymerase chain reaction-based assay for tracking untreated wastewater |
作者 | |
通讯作者 | Li,Xiang; Xia,Yu |
共同第一作者 | Li,Xiang; Ahmed,Warish |
发表日期 | 2022-09-10
|
DOI | |
发表期刊 | |
ISSN | 0048-9697
|
EISSN | 1879-1026
|
卷号 | 838 |
摘要 | Microbial source tracking (MST) tools provide insights on fecal pollution levels in aquatic environments using predominantly quantitative PCR (qPCR) assays that target host-associated molecular marker genes. Existing wastewater-associated marker genes have shown limited or significant cross-reactions with non-human fecal samples. In this study, we mined the current Gut Phage Database (GPD) and designed a novel untreated wastewater-specific Bifidobacterium phage qPCR assay (i.e., Bifi assay). The sensitivity and specificity of the Bifi marker genes were assessed by collectively analyzing untreated (n = 33) and treated (n = 15) wastewater and non-human fecal samples (i.e., Rabbit, mouse, cow, horse, pig, chicken, sheep, dog, deer, kangaroos; n = 113) in Shenzhen, Guangdong Province, China and Brisbane, Australia. Bifi assay revealed 100% host-specificity against non-human fecal samples collected from Shenzhen and Brisbane. Furthermore, this marker gene was also detected in all untreated and treated wastewater samples, whose concentrations ranged from 5.54 to 6.83 log GC/L. In Shenzhen, the concentrations of Bifi marker gene were approximately two orders of magnitude lower than Bacteroides (HF183/BacR287 assay) and CrAssphage (CPQ_56 assay). The concentration of Bifi marker gene in untreated wastewater from Brisbane was 1.35 log greater than those in Shenzhen. Our results suggest that Bifi marker gene has the potential to detect and quantify the levels of human fecal pollution in Shenzhen and Brisbane. If additional detection sensitivity is required for environmental studies, Bifi marker gene should be paired with either CrAssphage or HF183/BacR287 marker genes. |
关键词 | |
相关链接 | [Scopus记录] |
收录类别 | |
语种 | 英语
|
学校署名 | 第一
; 通讯
|
资助项目 | National Key Research and Development Program of China[2021YFA1202500]
; National Natural Science Foundation of China[42177357]
|
WOS研究方向 | Environmental Sciences & Ecology
|
WOS类目 | Environmental Sciences
|
WOS记录号 | WOS:000809640500003
|
出版者 | |
EI入藏号 | 20222412212836
|
EI主题词 | Genes
; Mammals
; Wastewater Treatment
; Water Pollution
|
EI分类号 | Industrial Wastes Treatment And Disposal:452.4
; Water Pollution:453
; Biological Materials And Tissue Engineering:461.2
; Biochemistry:801.2
|
ESI学科分类 | ENVIRONMENT/ECOLOGY
|
Scopus记录号 | 2-s2.0-85131457932
|
来源库 | Scopus
|
引用统计 |
被引频次[WOS]:1
|
成果类型 | 期刊论文 |
条目标识符 | http://sustech.caswiz.com/handle/2SGJ60CL/336206 |
专题 | 工学院_环境科学与工程学院 |
作者单位 | 1.School of Environmental Science and Engineering,Southern University of Science and Technology,Shenzhen,518055,China 2.State Environmental Protection Key Laboratory of Integrated Surface Water-Groundwater Pollution Control,School of Environmental Science and Engineering,Southern University of Science and Technology,Shenzhen,518055,China 3.Guangdong Provincial Key Laboratory of Soil and Groundwater Pollution Control,School of Environmental Science and Engineering,Southern University of Science and Technology,Shenzhen,518055,China 4.CSIRO Land and Water,Ecosciences Precinct,Dutton Park,41 Boggo Road,4102,Australia |
第一作者单位 | 环境科学与工程学院 |
通讯作者单位 | 环境科学与工程学院 |
第一作者的第一单位 | 环境科学与工程学院 |
推荐引用方式 GB/T 7714 |
Li,Xiang,Ahmed,Warish,Wu,Ziqi,et al. Developing a novel Bifidobacterium phage quantitative polymerase chain reaction-based assay for tracking untreated wastewater[J]. SCIENCE OF THE TOTAL ENVIRONMENT,2022,838.
|
APA |
Li,Xiang,Ahmed,Warish,Wu,Ziqi,&Xia,Yu.(2022).Developing a novel Bifidobacterium phage quantitative polymerase chain reaction-based assay for tracking untreated wastewater.SCIENCE OF THE TOTAL ENVIRONMENT,838.
|
MLA |
Li,Xiang,et al."Developing a novel Bifidobacterium phage quantitative polymerase chain reaction-based assay for tracking untreated wastewater".SCIENCE OF THE TOTAL ENVIRONMENT 838(2022).
|
条目包含的文件 | 条目无相关文件。 |
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