PHENOS: a high-throughput and flexible tool for microorganism growth phenotyping on solid media
PHENOS: a high-throughput and flexible tool for microorganism growth phenotyping on solid media
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PHENOS:一种高通量、灵活的固体培养基微生物生长表型分析工具
DOI:
10.1101/195784
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发表时间:
2017
期刊:
影响因子:
--
通讯作者:
Barton D
中科院分区:
文献类型:
--
作者:
Barton D
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 forSaccharomycesyeasts, 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 .
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DOI:
--
发表时间:
2013
期刊:
影响因子:
--
作者:
Kume;T.;Tanaka;N.;Kuraji;K.;Komatsu;H.;Yoshifuji;N.;Saitoh;T. M.;Suzuki;M. and Kumagai;T.;Kazuhiro Sato
通讯作者:
Kazuhiro Sato
影响因子:
4.4
作者:
Meersman, Esther;Steensels, Jan;Verstrepen, Kevin J.
通讯作者:
Verstrepen, Kevin J.
影响因子:
3.7
作者:
Jung PP;Christian N;Kay DP;Skupin A;Linster CL
通讯作者:
Linster CL
影响因子:
48
作者:
Roguev, Assen;Wiren, Marianna;Krogan, Nevan J.
通讯作者:
Krogan, Nevan J.
影响因子:
3.3
作者:
Freel KC;Friedrich A;Sarilar V;Devillers H;Neuvéglise C;Schacherer J
通讯作者:
Schacherer J