Open AccessPredicting Parallelism and Quantifying Divergence in Microbial Evolution Experiments
Author(s) -
William R. Shoemaker,
Jay T. Len
Publication year - 2022
Publication title -
msphere
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.749
H-Index - 39
ISSN - 2379-5042
DOI - 10.1128/msphere.00672-21
Subject(s) - replicate , divergence (linguistics) , adaptation (eye) , poisson distribution , biology , statistical hypothesis testing , mutation , mutation rate , evolutionary biology , gene , genetics , mathematics , statistics , philosophy , linguistics , neuroscience
There is currently no framework for identifying genes that contribute to molecular divergence between microbial populations in different environments. To address this absence, we developed a null modeling approach to describe the distribution of mutation counts among genes.
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