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ALEdb 1.0: A Database of Mutations from Adaptive Laboratory Evolution Experimentation

Patrick V. Phaneuf, Dennis Gosting, Bernhard O. Palsson, Adam M. Feist
doi: https://doi.org/10.1101/320747
Patrick V. Phaneuf
1Bioinformatics and Systems Biology Program, University of California, San Diego, La Jolla, CA 92093, USA
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Dennis Gosting
2Department of Bioengineering, University of California, San Diego, La Jolla, CA 92093, USA
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Bernhard O. Palsson
2Department of Bioengineering, University of California, San Diego, La Jolla, CA 92093, USA
3Novo Nordisk Foundation Center for Biosustainability, Technical University of Denmark, Building 220, Kemitorvet, 2800 Kgs. Lyngby, Denmark
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Adam M. Feist
2Department of Bioengineering, University of California, San Diego, La Jolla, CA 92093, USA
3Novo Nordisk Foundation Center for Biosustainability, Technical University of Denmark, Building 220, Kemitorvet, 2800 Kgs. Lyngby, Denmark
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  • For correspondence: afeist@ucsd.edu
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ABSTRACT

Full genomic sequences are readily available, but their functional interpretation remains a fundamental challenge. Adaptive Laboratory Evolution (ALE) has emerged as an experimental approach to discover causal mutations that confer desired phenotypic functions. Thus, ALE not only represents a controllable experimental approach to systematically discover genotype-phenotype relationships, but it also allows for the revelation of the series of genetic alterations required to acquire the new phenotype. Numerous ALE studies have appeared in the literature providing a strong impetus for developing structured databases to warehouse experimental evolution information and make it retrievable for large-scale analysis. Here, the first step towards establishing this capability is presented: ALEdb (http://aledb.org). This initial release contains over 11,000 mutations that have been discovered in ALE experiments. ALEdb is the first of its kind; (1) it is a web-based platform that comprehensively reports on ALE acquired mutations and their conditions, (2) it reports key mutations using previously established trends, (3) it enables a search-driven workflow to enhance user mutation functional analysis, (4) it allows exporting of mutation query results for custom analysis, (5) it has a bibliome that describes the underlying published literature, and (6) contains experimental evolution mutations from multiple model organisms. Thus, ALEdb is an informative platform which will become increasingly revealing as the number of reported ALE experiments and identified mutations continue to expand.

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The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-ND 4.0 International license.
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Posted May 15, 2018.
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ALEdb 1.0: A Database of Mutations from Adaptive Laboratory Evolution Experimentation
Patrick V. Phaneuf, Dennis Gosting, Bernhard O. Palsson, Adam M. Feist
bioRxiv 320747; doi: https://doi.org/10.1101/320747
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ALEdb 1.0: A Database of Mutations from Adaptive Laboratory Evolution Experimentation
Patrick V. Phaneuf, Dennis Gosting, Bernhard O. Palsson, Adam M. Feist
bioRxiv 320747; doi: https://doi.org/10.1101/320747

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