Stoichiometric modelling of assimilatory and dissimilatory biomass utilisation in a microbial community
Stoichiometric modelling of assimilatory and dissimilatory biomass utilisation in a microbial community
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DOI：
10.1111/1462-2920.13444
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发表时间：
2016-12-01
影响因子：
5.1
通讯作者：
Carlson, Ross P.
中科院分区：
文献类型：
--
作者：
Hunt, Kristopher A.;Jennings, Ryan deM.;Carlson, Ross P.
异养生物对自养生物量的同化和异化利用是营养物质和能量跨营养级转移的基本机制。来自黄石国家公园易处理的嗜热嗜酸微生物群落的宏基因组数据被用来构建计算机模型，以利用基本通量模式分析和通量平衡分析来研究自养生物量的异养利用。使用 29 种形式的生物质衍生的溶解有机碳 (DOC)，包括单个单体库、单个大分子库和聚合生物质，研究了同化和异化生物质利用。模拟确定了在不同电子供体、电子受体或酶限制条件下利用 DOC 的生态竞争策略。模拟的生长环境影响哪种形式的DOC是最具竞争力的养分利用；例如，氧气限制有利于利用较少还原和可发酵的 DOC，而碳限制环境则有利于更多还原 DOC。此外，还考虑了两种代谢策略来研究代谢：同时使用 DOC 与顺序使用 DOC。这项研究的结果限制了营养物和能量通过微生物食物网的转移，为大多数微生物生态系统提供了相关的定量基础。
Assimilatory and dissimilatory utilisation of autotroph biomass by heterotrophs is a fundamental mechanism for the transfer of nutrients and energy across trophic levels. Metagenome data from a tractable, thermoacidophilic microbial community in Yellowstone National Park was used to build an in silico model to study heterotrophic utilisation of autotroph biomass using elementary flux mode analysis and flux balance analysis. Assimilatory and dissimilatory biomass utilisation was investigated using 29 forms of biomass-derived dissolved organic carbon (DOC) including individual monomer pools, individual macromolecular pools and aggregate biomass. The simulations identified ecologically competitive strategies for utilizing DOC under conditions of varying electron donor, electron acceptor or enzyme limitation. The simulated growth environment affected which form of DOC was the most competitive use of nutrients; for instance, oxygen limitation favoured utilisation of less reduced and fermentable DOC while carbon-limited environments favoured more reduced DOC. Additionally, metabolism was studied considering two encompassing metabolic strategies: simultaneous versus sequential use of DOC. Results of this study bound the transfer of nutrients and energy through microbial food webs, providing a quantitative foundation relevant to most microbial ecosystems.