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Predicting microbial relative growth in a mixed culture from growth curve data

View ORCID ProfileYoav Ram, Eynat Dellus-Gur, Maayan Bibi, Uri Obolski, View ORCID ProfileJudith Berman, View ORCID ProfileLilach Hadany
doi: https://doi.org/10.1101/022640
Yoav Ram
1Dept. Molecular Biology and Ecology of Plants, Tel Aviv University, Tel Aviv 69978, Israel.
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  • For correspondence: yoav@yoavram.com
Eynat Dellus-Gur
1Dept. Molecular Biology and Ecology of Plants, Tel Aviv University, Tel Aviv 69978, Israel.
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Maayan Bibi
2Dept. of Molecular Microbiology and Biotechnology, Tel Aviv University, Tel Aviv 69978, Israel.
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Uri Obolski
1Dept. Molecular Biology and Ecology of Plants, Tel Aviv University, Tel Aviv 69978, Israel.
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Judith Berman
2Dept. of Molecular Microbiology and Biotechnology, Tel Aviv University, Tel Aviv 69978, Israel.
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Lilach Hadany
1Dept. Molecular Biology and Ecology of Plants, Tel Aviv University, Tel Aviv 69978, Israel.
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Abstract

Estimates of microbial fitness from growth curves are inaccurate. Rather, competition experiments are necessary for accurate estimation. But competition experiments require unique markers and are difficult to perform with isolates derived from a common ancestor or non-model organisms. Here we describe a new approach for predicting relative growth of microbes in a mixed culture utilizing mono- and mixed culture growth curve data. We validated this approach using growth curve and competition experiments with E. coli. Our approach provides an effective way to predict growth in a mixed culture and infer relative fitness. Furthermore, by integrating several growth phases, it provides an ecological interpretation for microbial fitness.

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Posted November 24, 2017.
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Predicting microbial relative growth in a mixed culture from growth curve data
Yoav Ram, Eynat Dellus-Gur, Maayan Bibi, Uri Obolski, Judith Berman, Lilach Hadany
bioRxiv 022640; doi: https://doi.org/10.1101/022640
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Predicting microbial relative growth in a mixed culture from growth curve data
Yoav Ram, Eynat Dellus-Gur, Maayan Bibi, Uri Obolski, Judith Berman, Lilach Hadany
bioRxiv 022640; doi: https://doi.org/10.1101/022640

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