Evidence map›Paper›PMID 31105648›Full record

ArticleFrontiers in microbiology2019

Quantification of Microbial Source Tracking and Pathogenic Bacterial Markers in Water and Sediments of Tiaoxi River (Taihu Watershed).

Kiran Kumar Vadde, Alan J McCarthy, Rong Rong, Raju Sekar

Open access · goldAbstract read
In one paragraph

Article in Frontiers in microbiology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
3.4field-weighted citation impact, top 9% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

21 citing papers in PubMed, 60 citations in OpenAlex.

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  8. Host-AssociatedMicroorganisms · 2023
    Article
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  11. Review
  12. Review
  13. Microbial Source Tracking as a Method of Determination of Beach Sand Contamination.International journal of environmental research and public health · 2022
    Article
  14. Molecular Diagnostic Tools Applied for Assessing Microbial Water Quality.International journal of environmental research and public health · 2022
    Review
  15. Article
  16. Frontiers in microbiology · 2021
    Article
  17. Review
  18. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors at 2 institutions in 2 countries.

Kiran Kumar VaddeDepartment of Biological Sciences, Xi'an Jiaotong-Liverpool University, Suzhou, China.
Alan J McCarthyMicrobiology Research Group, Institute of Integrative Biology, University of Liverpool, Liverpool, United Kingdom.
Rong RongDepartment of Biological Sciences, Xi'an Jiaotong-Liverpool University, Suzhou, China.
Raju SekarDepartment of Biological Sciences, Xi'an Jiaotong-Liverpool University, Suzhou, China.
Xi’an Jiaotong-Liverpool University · CNUniversity of Liverpool · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Taihu Lake is one of the largest freshwater lakes in China, serving as an important source of drinking water; >60% of source water to this lake is provided by the Tiaoxi River. This river faces serious fecal contamination issues, and therefore, a comprehensive investigation to identify the sources of fecal contamination was carried out and is presented here. The performance of existing universal (BacUni and GenBac), human (HF183-Taqman, HF183-SYBR, BacHum, and Hum2), swine (Pig-2-Bac), ruminant (BacCow), and avian (AV4143 and GFD) associated microbial source tracking (MST) markers was evaluated prior to their application in this region. The specificity and sensitivity results indicated that BacUni, HF183-TaqMan, Pig-2-Bac, and GFD assays are the most suitable in identifying human and animal fecal contamination. Therefore, these markers along with marker genes specific to selected bacterial pathogens were quantified in water and sediment samples of the Tiaoxi River, collected from 15 locations over three seasons during 2014 and 2015. Total/universal

Indexed as

fecal pollutionmicrobial source tracking (MST)pathogensqPCR quantificationTaihu watershedTiaoxi River

Identifiers

PMID31105648
PMCPMC6492492
OpenAlexW2942178706

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.