
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.
Physiological, 610, Polymorphism, Single Nucleotide, Databases, Genetic, Information and Computing Sciences, Databases, Genetic, Genetics, Escherichia coli, Database Issue, Adaptation, Polymorphism, Bacteriological Techniques, Internet, Escherichia coli Proteins, Bacterial, Computational Biology, Reproducibility of Results, Single Nucleotide, Biological Sciences, Adaptation, Physiological, Genes, Genes, Bacterial, Mutation, Directed Molecular Evolution, Environmental Sciences, Developmental Biology
Physiological, 610, Polymorphism, Single Nucleotide, Databases, Genetic, Information and Computing Sciences, Databases, Genetic, Genetics, Escherichia coli, Database Issue, Adaptation, Polymorphism, Bacteriological Techniques, Internet, Escherichia coli Proteins, Bacterial, Computational Biology, Reproducibility of Results, Single Nucleotide, Biological Sciences, Adaptation, Physiological, Genes, Genes, Bacterial, Mutation, Directed Molecular Evolution, Environmental Sciences, Developmental Biology
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