Evidence map›Paper›PMID 31598381›Full record

ArticleQuantitative biology (Beijing, China)2019

High-throughput quantification of microbial birth and death dynamics using fluorescence microscopy.

Samuel F M Hart, David Skelding, Adam J Waite, Justin C Burton, Wenying Shou

Open access · diamondAbstract read
In one paragraph

Article in Quantitative biology (Beijing, China), 2019. 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
3.2field-weighted citation impact, top 8% 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, 20 citations in OpenAlex.

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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

5 authors at 1 institution in 1 country.

Samuel F M HartFred Hutchinson Cancer Research Center, Seattle, WA 98109, USA.
David SkeldingFred Hutchinson Cancer Research Center, Seattle, WA 98109, USA.
Adam J WaiteFred Hutchinson Cancer Research Center, Seattle, WA 98109, USA.
Justin C BurtonFred Hutchinson Cancer Research Center, Seattle, WA 98109, USA.
Wenying ShouFred Hutchinson Cancer Research Center, Seattle, WA 98109, USA.
Fred Hutch Cancer Center · US

Funding

Cellular Cooperation and Cheating: an Experimental and Mathematical AnalysisDP2OD006498 · OD · FRED HUTCHINSON CANCER RESEARCH CENTER · PI SHOU, WENYING · 2009 to 2009
$2.6M
Understanding Robustness of a Cooperative Microbial Community during EvolutionR01GM124128 · NIGMS · FRED HUTCHINSON CANCER RESEARCH CENTER · PI XIE, LI · 2017 to 2020
$1.4M
NIGMS NIH HHS R01 GM124128NIH HHS DP2 OD006498
6 · The paper itself

Abstract

backgroundMicrobes live in dynamic environments where nutrient concentrations fluctuate. Quantifying fitness in terms of birth rate and death rate in a wide range of environments is critical for understanding microbial evolution and ecology.

methodsHere, using high-throughput time-lapse microscopy, we have quantified how

resultsFor lysine-requiring cells, very low concentrations of lysine are not detectably consumed and do not support cell birth, but delay the onset of death phase and reduce the death rate compared to no lysine. In contrast, in low hypoxanthine, hypoxanthine-requiring cells can produce new cells, yet also die faster than in the absence of hypoxanthine. For both strains, birth rates under various metabolite concentrations are better described by the sigmoidal-shaped Moser model than the well-known Monod model, while death rates can vary with metabolite concentration and time.

conclusionsOur work reveals how time-lapse microscopy can be used to discover non-intuitive microbial birth and death dynamics and to quantify growth rates in many environments.

Indexed as

birth ratedeath ratefluorescence microscopymicrobial growthSaccharomyces cerevisiae

Identifiers

PMID31598381
PMCPMC6785046
OpenAlexW2908663076

What OpenQuestion holds

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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.