Groupe de Recherche Interuniversitaire en Limnologie, Dépt. des sciences biologiques, Université du Québec à Montréal, CP 8888, Succ. Centre Ville, Montréal, Québec, Canada H3C 3P8.
Environ Microbiol. 2009 Jul;11(7):1704-16. doi: 10.1111/j.1462-2920.2009.01897.x. Epub 2009 Mar 11.
We explored the patterns in bacterioplankton community metabolism (BCM) and four components of community structure [composition (BCC), metabolic capacities (MC), physiological structure (PS) and single-cell characteristics (SCC)], between lakes, rivers and marshes within a watershed in Québec, to assess the connections that exist between them and with the main resources (organic matter, nutrients). Habitat types were well segregated by both resources and BCM and their corresponding dissimilarity matrices were significantly correlated, suggesting that BCM tracks resource conditions in a consistent manner across ecosystem types. MC also segregated the various habitats and was correlated to BCM but less so to resources, whereas BCC at times resulted in a clear separation of habitats, but was rarely correlated to resources and never to BCM, suggesting a higher degree of ecosystem specificity at this particular level. Finally, there was no clear separation of habitats in terms of PS and SCC, and none covaried with resources or BCM. The habitat patterns based on these different components of structure were rarely correlated to each other, indicating weak deterministic connections between them. MC appears to mediate the link between resources and BCM more directly and consistently across systems; BCC appears to be more influenced by ecosystem-specific factors that weaken its overall connection to both resources and BCM, whereas PS and SCC show no discernible patterns. Our results thus suggest that the bottom-up regulation of BCM by resources is mediated by complex shifts within components of community structure that can be directional, ecosystem-specific or apparently random, which combined nevertheless result in a systematic overall response to resources in terms of C metabolism.
我们探讨了魁北克流域内湖泊、河流和沼泽之间的细菌浮游生物群落代谢(BCM)和群落结构的四个组成部分[组成(BCC)、代谢能力(MC)、生理结构(PS)和单细胞特征(SCC)]的模式,以评估它们之间的联系以及与主要资源(有机物、养分)之间的联系。栖息地类型通过资源和 BCM 得到很好的分离,它们相应的不相似性矩阵显著相关,这表明 BCM 以一致的方式跟踪生态系统类型中的资源条件。MC 也将各种栖息地分离出来,并与 BCM 相关,但与资源的相关性较低,而 BCC 有时会导致栖息地的明显分离,但很少与资源相关,也从未与 BCM 相关,这表明在这个特定的层次上,生态系统具有更高的特异性。最后,PS 和 SCC 方面的栖息地没有明显的分离,也没有与资源或 BCM 共同变化。基于这些不同结构成分的栖息地模式很少相互关联,表明它们之间存在较弱的确定性联系。MC 似乎更直接和一致地在系统间调节资源和 BCM 之间的联系;BCC 似乎更多地受到生态系统特定因素的影响,从而削弱了它与资源和 BCM 的整体联系,而 PS 和 SCC 则没有明显的模式。因此,我们的研究结果表明,资源对 BCM 的底层调节是由群落结构成分的复杂变化介导的,这些变化可能是定向的、生态系统特异性的或明显随机的,但综合起来,它们会导致 C 代谢方面对资源的系统整体响应。