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大麦通过花粉培养进行序列变异和绿色植物再生的结构方程建模(SEM)分析。

Structural Equation Modeling (SEM) Analysis of Sequence Variation and Green Plant Regeneration via Anther Culture in Barley.

机构信息

Department of Plant Physiology and Biochemistry, Plant Breeding and Acclimatization Institute-National Research Institute, 05-870 Błonie, Poland.

Department of Seed Science and Technology, Plant Breeding and Acclimatization Institute-National Research Institute, 05-870 Błonie, Poland.

出版信息

Cells. 2021 Oct 16;10(10):2774. doi: 10.3390/cells10102774.

Abstract

The process of anther culture involves numerous abiotic stresses required for cellular reprogramming, microspore developmental switch, and plant regeneration. These stresses affect DNA methylation patterns, sequence variation, and the number of green plants regenerated. Recently, in barley ( L.), mediation analysis linked DNA methylation changes, copper (Cu) and silver (Ag) ion concentrations, sequence variation, β-glucans, green plants, and duration of anther culture (Time). Although several models were used to explain particular aspects of the relationships between these factors, a generalized complex model employing all these types of data was not established. In this study, we combined the previously described partial models into a single complex model using the structural equation modeling approach. Based on the evaluated model, we demonstrated that stress conditions (such as starvation and darkness) influence β-glucans employed by cells for glycolysis and the tricarboxylic acid cycle. Additionally, Cu and Ag ions affect DNA methylation and induce sequence variation. Moreover, these ions link DNA methylation with green plants. The structural equation model also showed the role of time in relationships between parameters included in the model and influencing plant regeneration via anther culture. Utilization of structural equation modeling may have both scientific and practical implications, as it demonstrates links between biological phenomena (e.g., culture-induced variation, green plant regeneration and biochemical pathways), and provides opportunities for regulating these phenomena for particular biotechnological purposes.

摘要

花药培养的过程涉及到许多非生物胁迫,这些胁迫是细胞重编程、小孢子发育开关和植物再生所必需的。这些应激会影响 DNA 甲基化模式、序列变异和再生绿色植物的数量。最近,在大麦(L.)中,中介分析将 DNA 甲基化变化、铜(Cu)和银(Ag)离子浓度、序列变异、β-葡聚糖、绿色植物和花药培养时间(Time)联系起来。尽管使用了几种模型来解释这些因素之间关系的特定方面,但尚未建立一个采用所有这些类型数据的通用复杂模型。在这项研究中,我们使用结构方程建模方法将以前描述的部分模型组合到一个单一的复杂模型中。基于评估的模型,我们证明了胁迫条件(如饥饿和黑暗)会影响细胞用于糖酵解和三羧酸循环的β-葡聚糖。此外,Cu 和 Ag 离子会影响 DNA 甲基化并诱导序列变异。此外,这些离子将 DNA 甲基化与绿色植物联系起来。结构方程模型还显示了时间在模型中包含的参数之间的关系中的作用,并通过花药培养影响植物再生。结构方程建模的应用可能具有科学和实际意义,因为它展示了生物现象(例如,培养诱导的变异、绿色植物再生和生化途径)之间的联系,并为特定的生物技术目的提供了调节这些现象的机会。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c01e/8534894/219051fb0b90/cells-10-02774-g001.jpg

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