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Energy, ecology and the distribution of microbial life (Review)

机译:能源,生态与微生物生命的分布(综述)

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Mechanisms that govern the coexistence of multiple biological species have been studied intensively by ecologists since the turn of the nineteenth century. Microbial ecologists in the meantime have faced many fundamental challenges, such as the lack of an ecologically coherent species definition, lack of adequate methods for evaluating population sizes and community composition in nature, and enormous taxonomic and functional diversity. The accessibility of powerful, culture-independent molecular microbiology methods offers an opportunity to close the gap between microbial science and the main stream of ecological theory, with the promise of new insights and tools needed to meet the grand challenges humans face as planetary engineers and galactic explorers. We focus specifically on resources related to energy metabolism because of their direct links to elemental cycling in the Earth's history, engineering applications and astrobiology. To what extent does the availability of energy resources structure microbial communities in nature? Our recent work on sulfur-and iron-oxidizing autotrophs suggests that apparently subtle variations in the concentration ratios of external electron donors and acceptors select for different microbial populations. We show that quantitative knowledge of microbial energy niches (population-specific patterns of energy resource use) can be used to predict variations in the abundance of specific taxa in microbial communities. Furthermore, we propose that resource ratio theory applied to micro-organisms will provide a useful framework for identifying how environmental communities are organized in space and time.
机译:自19世纪初以来,生态学家就对控制多种生物物种共存的机制进行了深入研究。同时,微生物生态学家面临许多基本挑战,例如缺乏生态上一致的物种定义,缺乏评估自然界中种群数量和群落组成的适当方法以及巨大的分类学和功能多样性。功能强大,与文化无关的分子微生物学方法的可及性为缩小微生物科学与生态学理论主流之间的鸿沟提供了机会,并有望提供新的见识和工具来应对人类作为行星工程师和银河系所面临的巨大挑战探险家。我们特别关注与能量代谢有关的资源,因为它们与地球历史,工程应用和天体生物学中的元素循环直接相关。能源的可用性在多大程度上构成了自然界中的微生物群落?我们最近关于硫和铁氧化自养生物的研究表明,外部电子供体和受体的浓度比中的细微变化显然选择了不同的微生物种群。我们表明,微生物能量生态位(特定的能源资源使用模式)的定量知识可用于预测微生物群落中特定分类单元的丰度变化。此外,我们建议将资源比率理论应用于微生物将为确定环境社区在空间和时间上的组织方式提供一个有用的框架。

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