Comparative analysis of the Spirulina platensis subcellular proteome in response to low- and high-temperature stresses: uncovering cross-talk of signaling components

Kurdrid, Pavinee; Senachak, Jittisak; Sirijuntarut, Matura; Yutthanasirikul, Rayakorn; Phuengcharoen, Phuttawadee; Jeamton, Wattana; Roytrakul, Sittiruk; Cheevadhanarak, Supapon; Hongsthong, Apiradee

doi:10.1186/1477-5956-9-39

Cited by 32 publications

(24 citation statements)

References 29 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The resilience of Arthrospira cells to extreme environmental conditions was reported. It has the ability to grow in highly alkaline environments [ 7 ], environments with high salt concentration: 1.5 higher than sea, ranging between 20 to 30 g L -1 [ 8 ], at extreme temperatures lower than 15°C and higher than 45°C [ 9 ], and at high light intensities as 500 μE/m 2 /s [ 10 ]. It is also able to resist ionising radiation from UV and gamma rays, as well as charged particles [ 11 , 12 ].…”

Section: Introductionmentioning

confidence: 99%

Temporal Gene Expression of the Cyanobacterium Arthrospira in Response to Gamma Rays

et al. 2015

View full text Add to dashboard Cite

The edible cyanobacterium Arthrospira is resistant to ionising radiation. The cellular mechanisms underlying this radiation resistance are, however, still largely unknown. Therefore, additional molecular analysis was performed to investigate how these cells can escape from, protect against, or repair the radiation damage. Arthrospira cells were shortly exposed to different doses of 60Co gamma rays and the dynamic response was investigated by monitoring its gene expression and cell physiology at different time points after irradiation. The results revealed a fast switch from an active growth state to a kind of 'survival modus' during which the cells put photosynthesis, carbon and nitrogen assimilation on hold and activate pathways for cellular protection, detoxification, and repair. The higher the radiation dose, the more pronounced this global emergency response is expressed. Genes repressed during early response, suggested a reduction of photosystem II and I activity and reduced tricarboxylic acid (TCA) and Calvin-Benson-Bassham (CBB) cycles, combined with an activation of the pentose phosphate pathway (PPP). For reactive oxygen species detoxification and restoration of the redox balance in Arthrospira cells, the results suggested a powerful contribution of the antioxidant molecule glutathione. The repair mechanisms of Arthrospira cells that were immediately switched on, involve mainly proteases for damaged protein removal, single strand DNA repair and restriction modification systems, while recA was not induced. Additionally, the exposed cells showed significant increased expression of arh genes, coding for a novel group of protein of unknown function, also seen in our previous irradiation studies. This observation confirms our hypothesis that arh genes are key elements in radiation resistance of Arthrospira, requiring further investigation. This study provides new insights into phasic response and the cellular pathways involved in the radiation resistance of microbial cells, in particularly for photosynthetic organisms as the cyanobacterium Arthrospira.

show abstract

Section: Introductionmentioning

confidence: 99%

Temporal Gene Expression of the Cyanobacterium Arthrospira in Response to Gamma Rays

et al. 2015

View full text Add to dashboard Cite

show abstract

“…Several research studies involving the proteomics analyses of plants (wheat, barley, rice, and Arabidopsis ) have indicated that plants utilize common adaptive responses to LT stress, which include the down-regulation of photosynthesis-related proteins and up-regulation of proteins involved in carbohydrate metabolism, ROS scavenging, cell wall remodeling, cytoskeletal rearrangements, and detoxification [20–23]. Hongsthong et al [24,25] examined the changes in the proteomics profile of Spirulina under LT (22°C) at the sub-cell level, which revealed that proteins involved in two-component response systems, DNA repair, molecular chaperones, secretion systems, and nitrogen assimilation play important roles in the response of Spirulina in cold stress. Comparative protein expression profiles of Arthrospira (Spirulina) platensis (ASP) under temperature stress for 7 days were also analyzed using 2DE technology [26].…”

Section: Introductionmentioning

confidence: 99%

iTRAQ-Based Quantitative Proteomic Analysis of Spirulina platensis in Response to Low Temperature Stress

Chang

Sun

et al. 2016

PLoS ONE

View full text Add to dashboard Cite

Low temperature (LT) is one of the most important abiotic stresses that can significantly reduce crop yield. To gain insight into how Spirulina responds to LT stress, comprehensive physiological and proteomic analyses were conducted in this study. Significant decreases in growth and pigment levels as well as excessive accumulation of compatible osmolytes were observed in response to LT stress. An isobaric tag for relative and absolute quantitation (iTRAQ)-based quantitative proteomics approach was used to identify changes in protein abundance in Spirulina under LT. A total of 3,782 proteins were identified, of which 1,062 showed differential expression. Bioinformatics analysis indicated that differentially expressed proteins that were enriched in photosynthesis, carbohydrate metabolism, amino acid biosynthesis, and translation are important for the maintenance of cellular homeostasis and metabolic balance in Spirulina when subjected to LT stress. The up-regulation of proteins involved in gluconeogenesis, starch and sucrose metabolism, and amino acid biosynthesis served as coping mechanisms of Spirulina in response to LT stress. Moreover, the down-regulated expression of proteins involved in glycolysis, TCA cycle, pentose phosphate pathway, photosynthesis, and translation were associated with reduced energy consumption. The findings of the present study allow a better understanding of the response of Spirulina to LT stress and may facilitate in the elucidation of mechanisms underlying LT tolerance.

show abstract

“…Then, a two-sample t-test was performed for statistical analysis. Proteins with a log-2-fold change greater than 1.2 and p < 0.05 were considered differentially expressed (DE) proteins [17][18][19]. Three DE protein lists were prepared from the comparisons between the stress temperatures, 22 °C and 40 °C, and the control temperature, 35 °C: the T22, T40 and T35 DE lists.…”

Section: Proteome-based Constraint Methodsmentioning

confidence: 99%

“…In the present study, we explored the use of genome-scale metabolic models (GSMM), constructed using proteomics data of significantly up-and downregulated proteins from A. platensis cultures grown under the stress conditions reported by our group [17][18][19], to understand the metabolic capabilities of the cells, through computational simulations and prediction of the response of the cyanobacteria to particular growth conditions. The proteome-based constraint method is applied to the newly expanded GSMM of A. platensis C1 to predict the flux distribution under three different temperature conditions to simulate the biological processes that occur under the temperature change.…”

Section: Introductionmentioning

confidence: 99%

Spirulina-in Silico-Mutations and Their Comparative Analyses in the Metabolomics Scale by Using Proteome-Based Flux Balance Analysis

Lertampaiporn

Senachak

Taenkaew

et al. 2020

Cells

Self Cite

View full text Add to dashboard Cite

This study used an in silico metabolic engineering strategy for modifying the metabolic capabilities of Spirulina under specific conditions as an approach to modifying culture conditions in order to generate the intended outputs. In metabolic models, the basic metabolic fluxes in steady-state metabolic networks have generally been controlled by stoichiometric reactions; however, this approach does not consider the regulatory mechanism of the proteins responsible for the metabolic reactions. The protein regulatory network plays a critical role in the response to stresses, including environmental stress, encountered by an organism. Thus, the integration of the response mechanism of Spirulina to growth temperature stresses was investigated via simulation of a proteome-based GSMM, in which the boundaries were established by using protein expression levels obtained from quantitative proteomic analysis. The proteome-based flux balance analysis (FBA) under an optimal growth temperature (35 °C), a low growth temperature (22 °C) and a high growth temperature (40 °C) showed biomass yields that closely fit the experimental data obtained in previous research. Moreover, the response mechanism was analyzed by the integration of the proteome and protein–protein interaction (PPI) network, and those data were used to support in silico knockout/overexpression of selected proteins involved in the PPI network. The Spirulina, wild-type, proteome fluxes under different growth temperatures and those of mutants were compared, and the proteins/enzymes catalyzing the different flux levels were mapped onto their designated pathways for biological interpretation.

show abstract

Comparative analysis of the Spirulina platensis subcellular proteome in response to low- and high-temperature stresses: uncovering cross-talk of signaling components

Cited by 32 publications

References 29 publications

Temporal Gene Expression of the Cyanobacterium Arthrospira in Response to Gamma Rays

Temporal Gene Expression of the Cyanobacterium Arthrospira in Response to Gamma Rays

iTRAQ-Based Quantitative Proteomic Analysis of Spirulina platensis in Response to Low Temperature Stress

Spirulina-in Silico-Mutations and Their Comparative Analyses in the Metabolomics Scale by Using Proteome-Based Flux Balance Analysis

Contact Info

Product

Resources

About