一种测量叶片热损伤的新方法提供了对热损伤发展过程序列的见解。

IF 4.4 2区 生物学 Q1 BIOCHEMICAL RESEARCH METHODS
Clara Bertel, Gilbert Neuner
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引用次数: 0

摘要

背景:全球变暖目前正以快速的速度发生,并对植物产生了特别严重的影响,植物作为无根生物,逃避高温的能力有限。这需要更好地了解不同植物物种的热极限,并更好地了解植物叶片热损伤发展的过程。热损伤是由多个过程引起的,发生在分子水平上,包括膜流动性增加、脂质过氧化、蛋白质聚集和变性。结果:我们测试了DSC方法是否允许检测完整叶片中的热致变性和分子聚集。在受控加热期间,在DSC图中观察到一致和可重复的模式,从中可以推导出临界热阈值。这些临界温度与用经典方法测定的温度一致,也清楚地标志着分子结构的热极限。DCS方法的优点是热阈值检测精确、快速、简便。最后,综合所有阈值,我们可以更好地描绘出与植物叶片热损伤相关的事件序列:热损伤始于膜渗漏,并在高(亚致死、致死)温度下继续进行蛋白质变性和聚集。结论:由于热损伤是由多个过程引起的,因此需要对不同过程的参数进行全面的了解。提出的DSC方法可以检测细胞化合物的变性和聚集,因此可以很好地补充反映光合作用损伤和全叶组织损伤的经典方法。这种简单快速的新方法只需要最少量的叶片材料,并允许快速收集不同植物的破坏性温度数据,这在面对快速发展的气候变化时尤为重要。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A novel method for measuring heat injury in leaves provides insights into the sequence of processes of heat injury development.

Background: Global warming is currently occurring at a rapid rate and is having a particularly severe impact on plants, which, as sessile organisms, have a limited ability to escape high temperatures. This requires a better understanding of the thermal limits for different plant species and a better understanding of the processes involved in the development of heat injury in plant leaves. Heat injury results from multiple processes and occurs at the molecular level, involving increased membrane fluidity, lipid peroxidation, and protein aggregation and denaturation.

Results: We have tested whether the DSC method allows the detection of heat-induced denaturation and aggregation of molecules in intact leaves. During controlled heating a consistent and repeatable pattern was observed in the DSC plot, from which critical heat thresholds could be derived. These critical temperatures were in good agreement with the temperatures determined using classical methods and also clearly mark the thermal limits of molecular structures. The advantage of the DCS method is the precise, rapid and easy detection of heat thresholds. Finally, taken all thresholds together, we can draw a better image of the sequence of events associated with heat injury in plant leaves: heat injury begins with membrane leakage and continues with protein denaturation and aggregation at high (sublethal, lethal) temperatures.

Conclusion: Since heat injury results from multiple processes, a holistic understanding requires the acquisition of parameters indicative of different processes. The presented DSC method, which allows the detection of denaturation and aggregation of cellular compounds, therefore complements well the classical methods that reflect photosynthetic impairment and whole leaf tissue damage. The new simple and rapid method requires only a minimal amount of leaf material and allows rapid collection of data on damaging temperatures for different plants, which is particularly important in the face of rapidly progressing climatic changes.

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来源期刊
Plant Methods
Plant Methods 生物-植物科学
CiteScore
9.20
自引率
3.90%
发文量
121
审稿时长
2 months
期刊介绍: Plant Methods is an open access, peer-reviewed, online journal for the plant research community that encompasses all aspects of technological innovation in the plant sciences. There is no doubt that we have entered an exciting new era in plant biology. The completion of the Arabidopsis genome sequence, and the rapid progress being made in other plant genomics projects are providing unparalleled opportunities for progress in all areas of plant science. Nevertheless, enormous challenges lie ahead if we are to understand the function of every gene in the genome, and how the individual parts work together to make the whole organism. Achieving these goals will require an unprecedented collaborative effort, combining high-throughput, system-wide technologies with more focused approaches that integrate traditional disciplines such as cell biology, biochemistry and molecular genetics. Technological innovation is probably the most important catalyst for progress in any scientific discipline. Plant Methods’ goal is to stimulate the development and adoption of new and improved techniques and research tools and, where appropriate, to promote consistency of methodologies for better integration of data from different laboratories.
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