名称、分类、结构和功能及其与Q循环、光合作用和ATP合成的关系

IF 1.9 4区 生物学 Q2 BIOLOGY
Brian J. Tindall
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引用次数: 0

摘要

乍一看,原核生物对Q循环的命名,光合作用和ATP的合成似乎是截然不同的。然而,生物学给我们布置了一项艰巨的任务,把化学和物理包裹在蛋白质、多糖、脂质和核酸的外衣中,并把科学的任务设定为理解这一切。正是在揭开这层“斗篷”的过程中,我们发现生物已经发展出了一系列惊人的在地球上生存的解决方案,其中最多样化的莫过于细菌和古生菌(被描述为“原核生物”)。采用一种模式生物可以让我们通过深入研究来解决一个特定的问题。随着我们对它们进行更深入的研究,很明显,虽然化学反应可能发生在多种生物体中,但在非常不同的生物体之间可能存在本质差异。为了交流我们的发现,有必要有一套标准化的术语,比如化合物、酶、生物体部分或生物体本身的名称。本文的任务是将其名称、分类、结构和功能、Q循环、光合作用和ATP合成等要素联系起来。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Names, classification, structure and function and their inter-relationship to the Q cycle, photosynthesis and ATP synthesis
At first sight prokaryote nomenclature the Q cycle, photosynthesis and the synthesis of ATP may appear to be poles apart. However, biology has set us a difficult task in taking chemistry and physics, wrapping it up in cloak of proteins, polysaccharides, lipids and nucleic acids and setting science the task of making sense of it all. It is in unravelling that cloak that we find that organisms have developed an amazing array of solutions to surviving on the planet Earth, none more diverse than the Bacteria and Archaea (descriptively “prokaryotes”). Taking a model organism may allow us to solve a particular question by looking at in depth. As we investigate them in more depth it is clear that while a chemical reaction may occur in a diversity of organism, there may be essential differences between very different organisms. In order to communicate what we find there is a need to have a set of standardised terms, like names of chemical compounds, enzymes, parts of organisms or organisms themselves. It is the task of the present paper to link the elements of names, classification, structure and function, the Q cycle, photosynthesis and ATP synthesis.
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来源期刊
Biosystems
Biosystems 生物-生物学
CiteScore
3.70
自引率
18.80%
发文量
129
审稿时长
34 days
期刊介绍: BioSystems encourages experimental, computational, and theoretical articles that link biology, evolutionary thinking, and the information processing sciences. The link areas form a circle that encompasses the fundamental nature of biological information processing, computational modeling of complex biological systems, evolutionary models of computation, the application of biological principles to the design of novel computing systems, and the use of biomolecular materials to synthesize artificial systems that capture essential principles of natural biological information processing.
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