Dataset: RB-TnSeq Data
Data Citation:
Moran, M. A., Reisch, C. R., Mejia, C., Trujillo Rodriguez, L. (2023) Ruegeria pomeroyi RB-TnSeq Transponson Mutant Library Screen Experimental Data February 2021 (C-CoMP Marine Bacterial Transporters project). Biological and Chemical Oceanography Data Management Office (BCO-DMO). (Version 1) Version Date 2023-04-05 [if applicable, indicate subset used]. doi:10.26008/1912/bco-dmo.893256.1 [access date]
Terms of Use
This dataset is licensed under Creative Commons Attribution 4.0.
If you wish to use this dataset, it is highly recommended that you contact the original principal investigators (PI). Should the relevant PI be unavailable, please contact BCO-DMO (info@bco-dmo.org) for additional guidance. For general guidance please see the BCO-DMO Terms of Use document.
DOI:10.26008/1912/bco-dmo.893256.1
Temporal Extent: 2021-02 - 2021-02
Project:
Function and Importance of Marine Bacterial Transporters of Plankton Exometabolites
(C-CoMP Marine Bacterial Transporters)
Program:
Principal Investigator:
Mary Ann Moran (University of Georgia, UGA)
Co-Principal Investigator:
Christopher R. Reisch (University of Florida, UF)
Scientist:
Catalina Mejia (University of Florida, UF-SFRC)
Lidimarie Trujillo Rodriguez (University of Florida, UF)
Student:
William F. Schroer (University of Georgia, UGA)
Data Manager:
Laura Gray (Woods Hole Oceanographic Institution, WHOI)
BCO-DMO Data Manager:
Sawyer Newman (Woods Hole Oceanographic Institution, WHOI BCO-DMO)
Version:
1
Version Date:
2023-04-05
Restricted:
No
Validated:
Yes
Current State:
Final no updates expected
Ruegeria pomeroyi RB-TnSeq Transponson Mutant Library Screen Experimental Data February 2021 (C-CoMP Marine Bacterial Transporters project)
Abstract:
A barcoded transposon mutant library (RB-TnSeq) of Ruegeria pomeroyi DSS-3 was screened on 23 substrates, each as a sole carbon source. In February of 2021 the RB-TnSeq library was grown in the laboratory in minimal medium with a substrate of interest, cultures were sequentially transfered four times to increase selection. Mutants with phenotypes that decreased fitness on the substrate of interest grow at a lower rate than mutants with no loss of fitness. Sequencing the barcodes of mutants after the screen shows which mutants are enriched or depleted on each substrate, indicating the fitness advantage provided by each gene when grown on each substrate. This can indicate genes that are involved in the uptake and metabolism of each substrate.