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High-throughput cultivation and screening platform for unicellular phototrophs

Overview of attention for article published in BMC Microbiology, September 2014
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Title
High-throughput cultivation and screening platform for unicellular phototrophs
Published in
BMC Microbiology, September 2014
DOI 10.1186/s12866-014-0239-x
Pubmed ID
Authors

Ulrich M Tillich, Nick Wolter, Katja Schulze, Dan Kramer, Oliver Brödel, Marcus Frohme

Abstract

BackgroundHigh-throughput cultivation and screening methods allow a parallel, miniaturized and cost efficient processing of many samples. These methods however, have not been generally established for phototrophic organisms such as microalgae or cyanobacteria.ResultsIn this work we describe and test high-throughput methods with the model organism Synechocystis sp. PCC6803. The required technical automation for these processes was achieved with a Tecan Freedom Evo 200 pipetting robot. The cultivation was performed in 2.2 ml deepwell microtiter plates within a cultivation chamber outfitted with programmable shaking conditions, variable illumination, variable temperature, and an adjustable CO2 atmosphere. Each microtiter-well within the chamber functions as a separate cultivation vessel with reproducible conditions. The automated measurement of various parameters such as growth, full absorption spectrum, chlorophyll concentration, MALDI-TOF-MS, as well as a novel vitality measurement protocol, have already been established and can be monitored during cultivation. Measurement of growth parameters can be used as inputs for the system to allow for periodic automatic dilutions and therefore a semi-continuous cultivation of hundreds of cultures in parallel. The system also allows the automatic generation of mid and long term backups of cultures to repeat experiments or to retrieve strains of interest.ConclusionsThe presented platform allows for high-throughput cultivation and screening of Synechocystis sp. PCC6803. The platform should be usable for many phototrophic microorganisms as is, and be adaptable for even more. A variety of analyses are already established and the platform is easily expandable both in quality, i.e. with further parameters to screen for additional targets and in quantity, i.e. size or number of processed samples.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 69 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 3%
Netherlands 1 1%
Unknown 66 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 26 38%
Researcher 12 17%
Student > Master 7 10%
Student > Doctoral Student 3 4%
Other 3 4%
Other 8 12%
Unknown 10 14%
Readers by discipline Count As %
Agricultural and Biological Sciences 26 38%
Biochemistry, Genetics and Molecular Biology 16 23%
Engineering 7 10%
Chemistry 2 3%
Environmental Science 1 1%
Other 6 9%
Unknown 11 16%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 17 September 2014.
All research outputs
#20,236,620
of 22,763,032 outputs
Outputs from BMC Microbiology
#2,685
of 3,184 outputs
Outputs of similar age
#188,345
of 225,899 outputs
Outputs of similar age from BMC Microbiology
#36
of 43 outputs
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So far Altmetric has tracked 3,184 research outputs from this source. They receive a mean Attention Score of 4.1. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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We're also able to compare this research output to 43 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.