Dataset Information

Physiological trade-off and transcriptome reprogramming are involved in acclimation to salinity gradient in diatoms

ABSTRACT: In estuaries and coastal areas, salinity regimes vary with river discharge, seawater evaporation, morphology of the coastal waterways, and dynamics of marine water mixing. Therefore, microalgae have to respond to salinity variations at various time scales, from daily to annual cycling. They might also adapt to physical alteration that might induce loss of connectivity and enclosure of water bodies. Here we integrate physiological-based assays, morphological plasticity with functional genomics approach to examine the regulatory change that occur during the acclimation to salinity in an estuary diatom, Thalassiosira weissflogii. We found that this diatom respond to salinity (i.e. 21, 28 and 35 psu) with minute adjustments of its physiology (i.e., carbon and silicon metabolisms, pigments concentration and photosynthetic parameters). In contrast after short- (~ 5 generations) or long-term (~ 700 generations) culture at the different salinity we found a large transcriptome reprogramming. With most of the genes being down-regulated in long-term, and only a few genes in common between short and long term experiments.

ORGANISM(S): Conticribra weissflogii

PROVIDER: GSE73987 | GEO | 2018/10/02

REPOSITORIES: GEO

ACCESS DATA

Dataset's files

Source:

			Action	DRS
		Other

Items per page:

1 - 1 of 1

Similar Datasets

Project description:Diatoms are responsible for ~40% of marine primary productivity1, fueling the oceanic carbon cycle and contributing to natural carbon sequestration in the deep ocean2. Diatoms rely on energetically expensive carbon concentrating mechanisms (CCMs) to fix carbon efficiently at modern levels of CO23–5. How diatoms may respond over the short and long-term to rising atmospheric CO2 remains an open question. Here we use nitrate-limited chemostats to show that the model diatom Thalassiosira pseudonana rapidly responds to increasing CO2 by differentially expressing gene clusters that regulate transcription and chromosome folding and subsequently reduces transcription of photosynthesis and respiration gene clusters under steady-state elevated CO2. These results suggest that exposure to elevated CO2 first causes a shift in regulation and then a metabolic rearrangement. Genes in one CO2-responsive cluster included CCM and photorespiration genes that share a putative cyclic-AMP responsive cis-regulatory sequence, implying these genes are co-regulated in response to CO2 with cAMP as an intermediate messenger. We verified cAMP-induced down-regulation of CCM gene ?-CA3 in nutrient-replete diatom cultures by inhibiting the hydrolysis of cAMP. These results indicate an important role for cAMP in down-regulating CCM and photorespiration genes under elevated CO2 and provide insights into mechanisms of diatom acclimation in response to climate change. In steady-state experiments: axenic T. pseudonana cells in four biological replicates (duplicate chemostats x 2 experimental runs) were acclimated to nitrate-limitation at 70% (1.5 day-1) of max growth rate for >10 days (>15 generations) under continuous light of 80 µmol photons·m?2·s?1. Cell biomass was maintained at ~2 x 105 cells·mL?1 by 10 ?M nitrate and carbonate chemistry stabilized to 300, 475 or 800 ?atm CO2, verified by pH and DIC measurements. Transition samples and carbonate chemistry were collected daily from chemostat cultures as CO2 levels were increased from ~300-800 ?atm at a rate ? 0.2 ?atm·min?1 over four consecutive days (6 generations) after pre-acclimation to 300 ?atm CO2 and nitrate-limitation.

Dataset Information

Physiological trade-off and transcriptome reprogramming are involved in acclimation to salinity gradient in diatoms

Dataset's files

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets