Evidence map›Paper›PMID 25505844›Full record

ArticleGenetics and molecular biology2014

Clustering of water bodies in unpolluted and polluted environments based on Escherichia coli phylogroup abundance using a simple interaction database.

Nancy de Castro Stoppe, Juliana Saragiotto Silva, Tatiana Teixeira Torres, Camila Carlos, Elayse Maria Hachich, Maria Inês Zanoli Sato, Antonio Mauro Saraiva, Laura Maria Mariscal Ottoboni

Abstract read
In one paragraph

Article in Genetics and molecular biology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
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

3 citing papers in PubMed.

  1. Article
  2. Is It Human or Animal? The Origin of PathogenicTropical medicine and infectious disease · 2021
    Article
  3. Worldwide Phylogenetic Group Patterns ofFrontiers in microbiology · 2017
    Article
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

8 authors.

Nancy de Castro StoppeCentro de Biologia Molecular e Engenharia Genética , Universidade Estadual de Campinas , Campinas, SP , Brazil . ; Núcleo de Pesquisa em Biodiversidade e Computação , Universidade de São Paulo , São Paulo, SP , Brazil .
Juliana Saragiotto SilvaNúcleo de Pesquisa em Biodiversidade e Computação , Universidade de São Paulo , São Paulo, SP , Brazil . ; Instituto Federal de Educação , Ciência e Tecnologia de Mato Grosso , Cuiabá, MT , Brazil .
Tatiana Teixeira TorresNúcleo de Pesquisa em Biodiversidade e Computação , Universidade de São Paulo , São Paulo, SP , Brazil . ; Departamento de Genética e Biologia Evolutiva , Instituto de Biociências , Universidade de São Paulo , São Paulo, SP , Brazil .
Camila CarlosCentro de Biologia Molecular e Engenharia Genética , Universidade Estadual de Campinas , Campinas, SP , Brazil .
Elayse Maria HachichDepartamento de Análises Ambientais , Companhia de Tecnologia de Saneamento Ambiental , São Paulo, SP , Brazil .
Maria Inês Zanoli SatoDepartamento de Análises Ambientais , Companhia de Tecnologia de Saneamento Ambiental , São Paulo, SP , Brazil .
Antonio Mauro SaraivaNúcleo de Pesquisa em Biodiversidade e Computação , Universidade de São Paulo , São Paulo, SP , Brazil . ; Departamento de Engenharia de Computação e Sistemas Digitais , Escola Politécnica , Universidade de São Paulo , São Paulo, SP , Brazil .
Laura Maria Mariscal OttoboniCentro de Biologia Molecular e Engenharia Genética , Universidade Estadual de Campinas , Campinas, SP , Brazil .

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Different types of water bodies, including lakes, streams, and coastal marine waters, are often susceptible to fecal contamination from a range of point and nonpoint sources, and have been evaluated using fecal indicator microorganisms. The most commonly used fecal indicator is Escherichia coli, but traditional cultivation methods do not allow discrimination of the source of pollution. The use of triplex PCR offers an approach that is fast and inexpensive, and here enabled the identification of phylogroups. The phylogenetic distribution of E. coli subgroups isolated from water samples revealed higher frequencies of subgroups A1 and B23 in rivers impacted by human pollution sources, while subgroups D1 and D2 were associated with pristine sites, and subgroup B1 with domesticated animal sources, suggesting their use as a first screening for pollution source identification. A simple classification is also proposed based on phylogenetic subgroup distribution using the w-clique metric, enabling differentiation of polluted and unpolluted sites.

Indexed as

E. coliinteraction networksphylogenetic groupspollution sourcessocial network analysis

Identifiers

PMID25505844
PMCPMC4261969

What OpenQuestion holds

Textmetadata
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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.