Thangaraj Satheeswaran, Palanisamy Satheesh Kumar, Zhang Guicheng, Sun Jun
College of Marine Science and Technology, China University of Geosciences, Wuhan, China.
Department of Zoology, School of Natural Science, Ryan Institute, National University of Ireland, Galway, Ireland.
Front Microbiol. 2021 Jan 14;11:554832. doi: 10.3389/fmicb.2020.554832. eCollection 2020.
Global warming is expected to reduce the nutrient concentration in the upper ocean and affect the physiology of marine diatoms, but the underlying molecular mechanisms controlling these physiological changes are currently unknown. To understand these mechanisms, here we investigated iTRAQ based proteomic profiling of diatom in a multifactorial experimental with a combining change of temperature and silicate concentrations. In total, 3369 differently abundant proteins were detected in four different environmental conditions, and the function of all proteins was identified using Gene Ontology and KEGG pathway analysis. For discriminating the proteome variation among samples, multivariate statistical analysis (PCA, PLS-DA) was performed by comparing the protein ratio differences. Further, performing pathway analysis on diatom proteomes, we here demonstrated downregulation of photosynthesis, carbon metabolism, and ribosome biogenesis in the cellular process that leads to decrease the oxidoreductase activity and affects the cell cycle of the diatom. Using PLS-DA VIP score plot analysis, we identified 15 protein biomarkers for discriminating studied samples. Of these, five proteins or gene (rbcL, PRK, atpB, DNA-binding, and signal transduction) identified as key biomarkers, induced by temperature and silicate stress in diatom metabolism. Our results show that proteomic finger-printing of with different environmental conditions adds biological information that strengthens marine phytoplankton proteome analysis.
预计全球变暖将降低海洋上层的营养物质浓度，并影响海洋硅藻的生理机能，但目前尚不清楚控制这些生理变化的潜在分子机制。为了解这些机制，我们在此通过温度和硅酸盐浓度联合变化的多因素实验，对硅藻进行了基于iTRAQ的蛋白质组分析。在四种不同的环境条件下，共检测到3369种丰度不同的蛋白质，并使用基因本体论和KEGG通路分析确定了所有蛋白质的功能。为了区分样本间的蛋白质组差异，通过比较蛋白质比率差异进行了多元统计分析（PCA、PLS-DA）。此外，对硅藻蛋白质组进行通路分析，我们在此证明了在导致氧化还原酶活性降低并影响硅藻细胞周期的细胞过程中，光合作用、碳代谢和核糖体生物发生受到下调。使用PLS-DA VIP评分图分析，我们鉴定出15种蛋白质生物标志物以区分所研究的样本。其中，五种蛋白质或基因（rbcL、PRK、atpB、DNA结合和信号转导）被确定为关键生物标志物，在硅藻代谢中受温度和硅酸盐胁迫诱导。我们的结果表明，不同环境条件下的蛋白质组指纹图谱增加了生物信息，加强了海洋浮游植物蛋白质组分析。
