Dataset: Ruergeria pomeroyi DSS-3 replete proteome
Data Citation:
Saito, M. A., Moran, M. A. (2022) The global proteome of replete laboratory cultures of Ruergeria pomeroyi DSS-3. Biological and Chemical Oceanography Data Management Office (BCO-DMO). (Version 1) Version Date 2022-06-14 [if applicable, indicate subset used]. doi:10.26008/1912/bco-dmo.875600.1 [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.875600.1
Temporal Extent: 2021-03-01 - 2021-05-01
Project:
C-CoMP Model Bacteria Physiological Studies
(C-CoMP Model Bacteria)
Program:
Principal Investigator:
Mak A. Saito (Woods Hole Oceanographic Institution, WHOI)
Co-Principal Investigator:
Mary Ann Moran (University of Georgia, UGA)
Data Manager:
Laura Gray (Woods Hole Oceanographic Institution, WHOI)
BCO-DMO Data Manager:
Shannon Rauch (Woods Hole Oceanographic Institution, WHOI BCO-DMO)
Version:
1
Version Date:
2022-06-14
Restricted:
No
Validated:
Yes
Current State:
Final no updates expected
The global proteome of replete laboratory cultures of Ruergeria pomeroyi DSS-3
Abstract:
This dataset represents the global proteome of replete laboratory cultures of Ruergeria pomeroyi DSS-3 (collected in triplicate). This dataset is an initial examination of the proteome allocation of this heterotrophic bacteria and will contribute to C-CoMP's efforts that are focused on understanding the physiology of model marine bacteria. A total of 2341 proteins were identified in DSS-3. The Moran laboratory at University of Georgia grew and prepared the cultures and the Saito laboratory at Woods Hole Oceanographic Institution conducted the proteomics analyses.