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首页> 外文期刊>Proceedings of the Royal Society. Biological sciences >Disruption of cross-feeding interactions by invading taxa can cause invasional meltdown in microbial communities
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Disruption of cross-feeding interactions by invading taxa can cause invasional meltdown in microbial communities

机译:通过入侵分类群的交叉喂养相互作用的破坏可能导致微生物社区中的州崩溃

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The strength of biotic interactions within an ecological community affects the susceptibility of the community to invasion by introduced taxa. In microbial communities, cross-feeding is a widespread type of biotic interaction that has the potential to affect community assembly and stability. Yet, there is little understanding of how the presence of cross-feeding within a community affects invasion risk. Here, I develop a metabolite-explicit model where native microbial taxa interact through both cross-feeding and competition for metabolites. I use this model to study how the strength of biotic interactions, especially cross-feeding, influence whether an introduced taxon can join the community. I found that stronger cross-feeding and competition led to much lower invasion risk, as both types of biotic interactions lead to greater metabolite scarcity for the invader. I also evaluated the impact of a successful invader on community composition and structure. The effect of invaders on the native community was greatest at intermediate levels of cross-feeding; at this 'critical' level of cross-feeding, successful invaders generally cause decreased diversity, decreased productivity, greater metabolite availability, and decreased quantities of metabolites exchanged among taxa. Furthermore, these changes resulting from a successful primary invader made communities further susceptible to future invaders. The increase in invasion risk was greatest when the network of metabolite exchange between taxa was minimally redundant. Thus, this model demonstrates a case of invasional meltdown that is mediated by initial invaders disrupting the metabolite exchange networks of the native community.
机译:生态界内的生物相互作用的力量影响了群体引入的分类群体的敏感性。在微生物社区中,交叉喂养是一种广泛的生物相互作用,具有影响社区组装和稳定性的潜力。然而,几乎没有了解社区内交叉喂养的存在如何影响入侵风险。在这里,我开发了一种代谢物显式模型,原生微生物分类群通过交叉喂养和代谢物竞争相互作用。我用这种模式来研究生物互动的力量,尤其是交叉,影响引入的分类机会是否可以加入社区。我发现强大的交叉喂养和竞争导致了侵袭风险的较低,因为这两种类型的生物相互作用都会导致入侵者的更大的代谢物稀缺。我还评估了成功入侵者对社区组成和结构的影响。入侵者对本地社区的影响在中间水平的交叉喂养中最大;在这种“关键”的交叉水平,成功的入侵者通常导致多样性降低,降低生产率,更高的代谢物可用性,并且在分类群中交换的代谢物量降低。此外,由成功的主要入侵者产生的这些变化使社区进一步容易受到未来入侵者的影响。当分类群之间的代谢物交换网络最冗余时,入侵风险的增加最大。因此,该模型演示了由初始入侵者介导的初始入侵者介导的令人兴奋的崩溃的情况,这些侵扰者扰乱了本地社区的代谢物交换网络。

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