Evidence map›Paper›PMID 29368646›Full record

ArticleBMC microbiology2018

PHENOS: a high-throughput and flexible tool for microorganism growth phenotyping on solid media.

David B H Barton, Danae Georghiou, Neelam Dave, Majed Alghamdi, Thomas A Walsh, Edward J Louis, Steven S Foster

Open access · goldAbstract read
In one paragraph

Article in BMC microbiology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
0.8field-weighted citation impact, top 27% 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

9 citing papers in PubMed, 22 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Article
  5. BeyondFrontiers in microbiology · 2022
    Article
  6. Article
  7. Restoring fertility in yeast hybrids: Breeding and quantitative genetics of beneficial traits.Proceedings of the National Academy of Sciences of the United States of America · 2021
    Article
  8. Article
  9. 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

7 authors at 1 institution in 1 country.

David B H BartonDepartment of Genetics & Genome Biology, University of Leicester, Leicester, LE1 7RH, UK.
Danae GeorghiouDepartment of Genetics & Genome Biology, University of Leicester, Leicester, LE1 7RH, UK.
Neelam DaveDepartment of Genetics & Genome Biology, University of Leicester, Leicester, LE1 7RH, UK.
Majed AlghamdiDepartment of Genetics & Genome Biology, University of Leicester, Leicester, LE1 7RH, UK.
Thomas A WalshDepartment of Genetics & Genome Biology, University of Leicester, Leicester, LE1 7RH, UK.
Edward J LouisDepartment of Genetics & Genome Biology, University of Leicester, Leicester, LE1 7RH, UK. ejl21@le.ac.uk.
Steven S FosterDepartment of Genetics & Genome Biology, University of Leicester, Leicester, LE1 7RH, UK. ssf5@le.ac.uk.
University of Leicester · GB

Funding

Biotechnology and Biological Sciences Research Council BB/L022508/1Wellcome Trust
6 · The paper itself

Abstract

backgroundMicrobial arrays, with a large number of different strains on a single plate printed with robotic precision, underpin an increasing number of genetic and genomic approaches. These include Synthetic Genetic Array analysis, high-throughput Quantitative Trait Loci (QTL) analysis and 2-hybrid techniques. Measuring the growth of individual colonies within these arrays is an essential part of many of these techniques but is useful for any work with arrays. Measurement is typically done using intermittent imagery fed into complex image analysis software, which is not especially accurate and is challenging to use effectively. We have developed a simple and fast alternative technique that uses a pinning robot and a commonplace microplate reader to continuously measure the thickness of colonies growing on solid agar, complemented by a technique for normalizing the amount of cells initially printed to each spot of the array in the first place. We have developed software to automate the process of combining multiple sets of readings, subtracting agar absorbance, and visualizing colony thickness changes in a number of informative ways.

resultsThe "PHENOS" pipeline (PHENotyping On Solid media), optimized for Saccharomyces yeasts, produces highly reproducible growth curves and is particularly sensitive to low-level growth. We have empirically determined a formula to estimate colony cell count from an absorbance measurement, and shown this to be comparable with estimates from measurements in liquid. We have also validated the technique by reproducing the results of an earlier QTL study done with conventional liquid phenotyping, and found PHENOS to be considerably more sensitive.

conclusions"PHENOS" is a cost effective and reliable high-throughput technique for quantifying growth of yeast arrays, and is likely to be equally very useful for a range of other types of microbial arrays. A detailed guide to the pipeline and software is provided with the installation files at https://github.com/gact/phenos .

Indexed as

AgarCell Culture TechniquesColony Count, MicrobialCulture MediaGenomicsGenotypeHigh-Throughput Screening AssaysImage Processing, Computer-AssistedPhenotypeSaccharomyces cerevisiaeSoftwareAgarCulture MediaArraysGrowthMicrobesPhenotypingQTLSGAYeast

Identifiers

PMID29368646
PMCPMC5784713
OpenAlexW2952686167

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.