Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Raw LC-MS data for actinobacteria strain Wu 15 for metabolomic profiling

ABSTRACT: Raw LC-MS data for actinobacteria strain Wu 15 for metabolomic profiling

INSTRUMENT(S): Thermo Scientific Q-Exactive

ORGANISM(S): Actinobacteria <class> (ncbitaxon:1760)

SUBMITTER: Amit Jaisi

PROVIDER: MSV000099453 | MassIVE | Sat Oct 11 12:05:00 BST 2025

REPOSITORIES: MassIVE

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
		Other

Items per page:

1 - 1 of 1

Similar Datasets

Light enhances growth in non-phototropic Actinobacteria (Rhodoluna lacicola strain Ta8)

Project description:Light is a source of energy and an environmental cue that is available in excess in most surface environments. In prokaryotic systems, conversion of light to energy by photoautotrophs and photoheterotrophs is well understood, but the conversion of light to information and the cellular response to that information has been characterized in only a few species. Our goal was to explore the response of freshwater Actinobacteria, which are ubiquitous in illuminated aquatic environments, to light. We found that Actinobacteria without functional photosystems grow faster in the light, likely because sugar transport and metabolism are upregulated in the light, while protein synthesis is upregulated in the dark. Based on the action spectrum of the growth effect, and comparisons of the genomes of three Actinobacteria with this growth rate phenotype, we propose that the photosensor in these strains is a putative CryB-type cryptochrome. The ability to sense light and upregulate carbohydrate transport during the day could allow these cells to coordinate their time of maximum organic carbon uptake with the time of maximum organic carbon release by primary producers.

2018-07-07 | GSE116706 | GEO