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Polynomial regressions reveal that levels of chlorophyll a, carotenoids, soluble phenolics and aldehydes modify mathematically sugarcane shoot multiplication rate in temporary immersion bioreactors under salt stress
Biologia ( IF 1.5 ) Pub Date : 2020-05-13 , DOI: 10.2478/s11756-020-00505-y
Daviel Gómez , Elliosha Hajari , José C. Lorenzo

Polynomial regression analysis is a powerful statistical tool used to describe non-linear relationships. The goodness-of-fit of this model is assessed by evaluating the coefficient of determination (R2). An R2 value closer to 1 is indicative of a strong correlation between the two under consideration. While polynomial regression analysis has been widely used in studies of plant stress responses to stress, to the best of our knowledge, this represents the first report on the application of this method to study the response of sugarcane plants to salt stress in Temporary Immersion Bioreactors (TIBs). In this context, sugarcane plants were exposed to salt stress while undergoing multiplication in TIBs. At the end of the multiplication cycle, the levels of biochemical metabolites (i.e. chlorophylls, carotenoids, phenolics and aldehydes) were evaluated. Polynomial regression analysis was subsequently used to elucidate the relationships between shoots multiplied under high salt stress conditions and consequent metabolite levels. The results indicated that the levels of chlorophyll a had a strong positive relationship (in mathematical terms) with shoot multiplication rate (R2 = 0.7063) with a corresponding high determination coefficient. In contrast, shoot multiplication rate was decreased in response to increased levels of carotenoids, soluble phenolics in shoots, and other aldehydes. Changes in levels of chlorophyll b, cell wall-linked phenolics, soluble phenolics excreted to the culture medium and malondialdehyde did not seem to (mathematically) influence sugarcane shoot multiplication in TIBs under salinity stress. The results from the present investigation provides evidence for the application of polynomial regression analysis as a tool to elucidate relationships between plant metabolites as markers for stress and shoot multiplication (as an indicator of growth) in in vitro systems. It is recommended that this statistical tool would be useful in an overall in vitro screening approach to investigate the stress response of other plant species in similar systems.



中文翻译:

多项式回归表明,盐胁迫下临时浸没式生物反应器中叶绿素a,类胡萝卜素,可溶性酚和醛的含量在数学上改变了甘蔗芽的繁殖速率。

多项式回归分析是用于描述非线性关系的强大统计工具。该模型的拟合优度通过评估确定系数(R 2)进行评估。R 2值接近1表示正在考虑的两者之间有很强的相关性。尽管多项式回归分析已广泛用于植物对逆境胁迫的反应研究中,但据我们所知,这代表了该方法在临时浸没式生物反应器中用于研究甘蔗植物对盐胁迫的反应的首次报道( TIB)。在这种情况下,甘蔗植物在TIB中繁殖时暴露于盐胁迫。在繁殖周期结束时,评估了生化代谢产物(即叶绿素,类胡萝卜素,酚类和醛类)的水平。随后使用多项式回归分析来阐明在高盐胁迫条件下成倍繁殖的枝条与随后代谢产物水平之间的关系。2  = 0.7063),并具有较高的确定系数。相反,响应于类胡萝卜素,芽中可溶性酚和其他醛类水平的增加,芽的繁殖率降低。叶绿素b,细胞壁连接的酚类,分泌到培养基中的可溶性酚类和丙二醛水平的变化似乎(在数学上)不影响盐分胁迫下TIB中甘蔗芽的繁殖。本研究的结果为多项式回归分析作为阐明植物代谢产物之间关系的工具提供了证据,该代谢产物作为胁迫的标志物和枝条繁殖(作为生长的指标)在体外系统中。建议该统计工具在总体上有用体外筛选方法来研究相似系统中其他植物物种的胁迫反应。

更新日期:2020-05-13
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