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Predicting competition results from growth curves

View ORCID ProfileYoav Ram, View ORCID ProfileEynat Dellus-Gur, View ORCID ProfileUri Obolski, View ORCID ProfileMaayan Bibi, 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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Eynat Dellus-Gur
1Dept. Molecular Biology and Ecology of Plants, 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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Maayan Bibi
2Dept. of Molecular Microbiology and Biotechnology, Tel Aviv University, Tel Aviv 69978, Israel
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  • ORCID record for Maayan Bibi
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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  • ORCID record for Lilach Hadany
  • For correspondence: lilach.hadany@gmail.com
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Abstract

Measuring relative fitness by pairwise competition experiments is laborious and expensive. Accordingly, many investigators estimate fitness from the maximum growth rate during exponential growth. However, maximum growth rates have been shown to be an unreliable measure of fitness as indicated by discrepancies between these parameters and the outcomes of pairwise competition experiments. Here we propose a new method that estimates relative fitness by predicting the results of competition experiments from single strain growth curves.

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Posted July 23, 2015.
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Predicting competition results from growth curves
Yoav Ram, Eynat Dellus-Gur, Uri Obolski, Maayan Bibi, Judith Berman, Lilach Hadany
bioRxiv 022640; doi: https://doi.org/10.1101/022640
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Predicting competition results from growth curves
Yoav Ram, Eynat Dellus-Gur, Uri Obolski, Maayan Bibi, Judith Berman, Lilach Hadany
bioRxiv 022640; doi: https://doi.org/10.1101/022640

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