RNA polymerase evolution data files and code (1/2)

RNA polymerase (RNAP) is emblematic of complex biological systems that control multiple traits involving trade-offs such as growth versus maintenance. Laboratory evolution has revealed that mutations in RNAP subunits, including RpoB, are frequently selected. However, we lack a systems view of how mutations alter the RNAP molecular functions to promote adaptation. We, therefore, measured the fitness of thousands of rpoB variants under multiple conditions and genetic backgrounds, to find that adaptive mutations cluster in two separate modules. Mutations in one module favor growth over maintenance through a partial loss of an interaction associated with faster elongation. Mutations in the other favor maintenance over growth through a destabilized RNAP-DNA complex. The two molecular handles capture the versatile RNAP-mediated adaptations. Combining both interaction losses simultaneously improved maintenance and growth, challenging the idea that growth-maintenance tradeoff resorts only from ..., , , # RNA polymerase evolution

The current dataset contains data files associated with the above study. You can follow the Readme for details on the code files. The FASTQ files are submitted as a separate submission: DOI: 10.5061/dryad.zw3r228c4.

## Description of the data and file structure

The information about the fastq data and the associated samples from which they were extracted can be found in the tsv file: Sample checklist\_1674571220193.tsv. Details on the file experimental sample map can be found in the tsv file: fastq2\_template\_1674570722019.tsv

Here is a description of the other files.
**Place all these files in a subfolder Fitness\\ to be able to run the code:**

1. \_Preenrichment.csv
There are multiple files with the description as \"\_Preenrichment.csv\". The \"x\_*Preenrichment.csv\" file contains the raw reads count data for each evolution experiment. The name of the selection and is mentioned before the \"\_*\". For example, GlucoseA\_Preenrichment contains the counts...