UMR CNRS/UFC 6249, Laboratoire Chrono-Environnement, Université de Franche-Comté, 25211, Montbéliard Cedex, France,
Microb Ecol. 2013 Oct;66(3):571-80. doi: 10.1007/s00248-013-0262-8. Epub 2013 Jul 10.
Although microorganisms are the primary drivers of biogeochemical cycles, the structure and functioning of microbial food webs are poorly studied. This is the case in Sphagnum peatlands, where microbial communities play a key role in the global carbon cycle. Here, we explored the structure of the microbial food web from a Sphagnum peatland by analyzing (1) the density and biomass of different microbial functional groups, (2) the natural stable isotope (δ(13)C and δ(15)N) signatures of key microbial consumers (testate amoebae), and (3) the digestive vacuole contents of Hyalosphenia papilio, the dominant testate amoeba species in our system. Our results showed that the feeding type of testate amoeba species (bacterivory, algivory, or both) translates into their trophic position as assessed by isotopic signatures. Our study further demonstrates, for H. papilio, the energetic benefits of mixotrophy when the density of its preferential prey is low. Overall, our results show that testate amoebae occupy different trophic levels within the microbial food web, depending on their feeding behavior, the density of their food resources, and their metabolism (i.e., mixotrophy vs. heterotrophy). Combined analyses of predation, community structure, and stable isotopes now allow the structure of microbial food webs to be more completely described, which should lead to improved models of microbial community function.
尽管微生物是生物地球化学循环的主要驱动因素,但微生物食物网的结构和功能仍未得到充分研究。在泥炭藓沼泽地就是如此,那里的微生物群落对全球碳循环起着关键作用。在这里,我们通过分析(1)不同微生物功能群的密度和生物量,(2)关键微生物消费者(有壳变形虫)的天然稳定同位素(δ(13)C 和 δ(15)N)特征,以及(3)我们系统中占优势的有壳变形虫物种——Hyalosphenia papilio 的消化泡内容物,来研究泥炭藓沼泽地微生物食物网的结构。我们的研究结果表明,有壳变形虫物种的摄食类型(细菌食性、藻类食性或两者兼而有之)转化为它们的营养位置,这是通过同位素特征评估的。我们的研究进一步表明,对于 H. papilio 来说,当其优先猎物的密度较低时,混合营养的能量效益更高。总的来说,我们的研究结果表明,有壳变形虫根据其摄食行为、食物资源密度和代谢(即混合营养与异养)在微生物食物网中占据不同的营养水平。捕食、群落结构和稳定同位素的综合分析现在可以更完整地描述微生物食物网的结构,这应该会导致微生物群落功能模型的改进。