Accounting for Bacterial Overlap Between Raw Water Communities and Contaminating Sources Improves the Accuracy of Signature-Based Microbial Source Tracking.

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作者： Moa,Hägglund ^[1] ; Stina,Bäckman ^[1] ; Anna,Macellaro ^[1] ; Petter,Lindgren ^[1] ; Emmy,Borgmästars ^[2] ; Karin,Jacobsson ^[3] ; Rikard,Dryselius ^[3] ; Per,Stenberg ^[1] ; Andreas,Sjödin ^[4] ; Mats,Forsman ^[1] ; Jon,Ahlinder ^[5]

作者单位： Division of CBRN Security and Defence, FOI, Swedish Defence Research Agency, Umeå, Sweden. ^[1] Surgery Section, Department of Surgical and Perioperative Sciences, Umeå University, Umeå, Sweden. ^[2] National Food Agency, Uppsala, Sweden. ^[3] Department of Ecology and Environmental Science (EMG), Umeå University, Umeå, Sweden. ^[4] Computational Life Science Cluster (CLiC), Department of Chemistry, Umeå University, Umeå, Sweden. ^[5]

关键词 16S rRNA amplicon bacterial community analysis fecal contamination microbial community profiling microbial source tracking

DOI 10.3389/fmicb.2018.02364

PMID 30356843

发布时间 2023-11-04

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Frontiers in microbiology

2018年9卷

2364页

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Accounting for Bacterial Overlap Between Raw Water Communities and Contaminating Sources Improves the Accuracy of Signature-Based Microbial Source Tracking.

Frontiers in microbiology

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Frontiers in microbiology

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Accounting for Bacterial Overlap Between Raw Water Communities and Contaminating Sources Improves the Accuracy of Signature-Based Microbial Source Tracking.

Frontiers in microbiology

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Frontiers in microbiology

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