Evidence map›Paper›PMID 27790854›Full record

ArticleMicrobiologyOpen2017

One step forwards for the routine use of high-throughput DNA sequencing in environmental monitoring. An efficient and standardizable method to maximize the detection of environmental bacteria.

Antonia Bruno, Anna Sandionigi, Andrea Galimberti, Eleonora Siani, Massimo Labra, Clementina Cocuzza, Emanuele Ferri, Maurizio Casiraghi

Abstract read
In one paragraph

Article in MicrobiologyOpen, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Exploring Changes in the Microbiota ofFrontiers in microbiology · 2021
    Article
  9. Article
  10. Article
  11. Article
  12. Frontiers in microbiology · 2019
    Review
  13. Article
  14. Article
  15. Article
  16. Article
  17. 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.

Antonia BrunoZooPlantLab, Biotechnologies and Bioscience Department, University of Milano-Bicocca, Milan, Italy.
Anna SandionigiZooPlantLab, Biotechnologies and Bioscience Department, University of Milano-Bicocca, Milan, Italy.
Andrea GalimbertiZooPlantLab, Biotechnologies and Bioscience Department, University of Milano-Bicocca, Milan, Italy.
Eleonora SianiZooPlantLab, Biotechnologies and Bioscience Department, University of Milano-Bicocca, Milan, Italy.
Massimo LabraZooPlantLab, Biotechnologies and Bioscience Department, University of Milano-Bicocca, Milan, Italy.
Clementina CocuzzaMedicine and Surgery Department, University of Milano-Bicocca, Monza, Italy.
Emanuele FerriFEM2-Ambiente, University of Milano-Bicocca, Milan, Italy.
Maurizio CasiraghiZooPlantLab, Biotechnologies and Bioscience Department, University of Milano-Bicocca, Milan, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We propose an innovative, repeatable, and reliable experimental workflow to concentrate and detect environmental bacteria in drinking water using molecular techniques. We first concentrated bacteria in water samples using tangential flow filtration and then we evaluated two methods of environmental DNA extraction. We performed tests on both artificially contaminated water samples and real drinking water samples. The efficiency of the experimental workflow was measured through qPCR. The successful applicability of the high-throughput DNA sequencing (HTS) approach was demonstrated on drinking water samples. Our results demonstrate the feasibility of our approach in high-throughput-based studies, and we suggest incorporating it in monitoring strategies to have a better representation of the microbial community. In the recent years, HTS techniques have become key tools in the study of microbial communities. To make the leap from academic laboratories to the routine monitoring (e.g., water treatment plants laboratories), we here propose an experimental workflow suitable for the introduction of HTS as a standard method for detecting environmental bacteria.

Indexed as

BacteriaBase SequenceDNA, BacterialDrinking WaterEnvironmental MonitoringHigh-Throughput Nucleotide SequencingReal-Time Polymerase Chain ReactionSequence Analysis, DNAWorkflowDNA, BacterialDrinking Watercomplex matrixDNA extractionenvironmental bacteriahigh-throughput sequencingnext-generation sequencingqPCRtangential flow concentrationwater

Identifiers

PMID27790854
PMCPMC5300880

What OpenQuestion holds

Textmetadata
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.