Dataset: High resolution screen growth curves
Data Citation:
Moran, M. A., Reisch, C. R., Mejia, C., Trujillo Rodriguez, L. (2023) High Resolution Growth Screen of Ruegeria pomeroyi Transporter Mutants Data September 2021 - June 2022 (C-CoMP Marine Bacterial Transporters project). Biological and Chemical Oceanography Data Management Office (BCO-DMO). (Version 1) Version Date 2023-04-18 [if applicable, indicate subset used]. doi:10.26008/1912/bco-dmo.894179.1 [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.894179.1
Temporal Extent: 2021-09 - 2022-06
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)
Lidimarie Trujillo Rodriguez (University of Florida, UF-SFRC)
Student:
William F. Schroer (University of Georgia, UGA)
Contact:
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:
2023-04-18
Restricted:
No
Validated:
Yes
Current State:
Final no updates expected
High Resolution Growth Screen of Ruegeria pomeroyi Transporter Mutants Data September 2021 - June 2022 (C-CoMP Marine Bacterial Transporters project)
Abstract:
High resolution growth screens were used to confirm the phenotype of Ruegeria pomeroyi DSS-3 transporter knockout mutants. Mutants which had demonstrated growth defects on a given substrate as sole carbon source during an initial growth screen were selected and used here. Each mutant was grown on the substrate(s) of interest along side a wildtype analog (pooled-TnSeq library). Growth curves were generated by reading the optical density at 600 nm hourly. The annotations of a transporter's cognate substrate was confirmed when the mutant of said transporter demonstrated significant defect relative to the wildtype analog on the substrate of interest.