English
 
Help Privacy Policy Disclaimer
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT
Add to Basket
  Local TagsRelease HistoryDetailsSummary

Released
Journal Article

Comparative Transcriptomics between Synechococcus PCC 7942 and Synechocystis PCC 6803 Provide Insights into Mechanisms of Stress Acclimation

MPS-Authors
/persons/resource/persons254141

Billini,  Maria
Max Planck Fellow Bacterial Cell Biology, Max Planck Institute for Terrestrial Microbiology, Max Planck Society;
external;

External Resource

https://doi.org/10.1371/journal.pone.0109738
(Publisher version)

Fulltext (restricted access)
There are currently no full texts shared for your IP range.
Fulltext (public)
There are no public fulltexts stored in PuRe
Supplementary Material (public)
There is no public supplementary material available
Citation

Billis, K., Billini, M., Tripp, H. J., Kyrpides, N. C., & Mavromatis, K. (2014). Comparative Transcriptomics between Synechococcus PCC 7942 and Synechocystis PCC 6803 Provide Insights into Mechanisms of Stress Acclimation. PLOS ONE, 9(10): e109738. doi:10.1371/journal.pone.0109738.


Cite as: https://hdl.handle.net/21.11116/0000-000E-0E80-2
Abstract
Synechococcus sp. PCC 7942 and Synechocystis sp. PCC 6803 are model
cyanobacteria from which the metabolism and adaptive responses of other
cyanobacteria are inferred. Using stranded and 5' enriched libraries, we
measured the gene expression response of cells transferred from
reference conditions to stress conditions of decreased inorganic carbon,
increased salinity, increased pH, and decreased illumination at 1-h and
24-h after transfer. We found that the specific responses of the two
strains were by no means identical. Transcriptome profiles allowed us to
improve the structural annotation of the genome i.e. identify possible
missed genes (including anti-sense), alter gene coordinates and
determine transcriptional units (operons). Finally, we predicted
associations between proteins of unknown function and biochemical
pathways by revealing proteins of known functions that are co-regulated
with the unknowns. Future studies of these model organisms will benefit
from the cataloging of their responses to environmentally relevant
stresses, and improvements in their genome annotations found here.