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生理介导的三叶草自身/非自身根判别对植物性能有混合效应。

Physiologically-Mediated Self/Non-Self Root Discrimination in Trifolium repens has Mixed Effects on Plant Performance.

机构信息

Department of Experimental Plant Ecology; Radboud University Nijmegen; Nijmegen, The Netherlands.

出版信息

Plant Signal Behav. 2006 May;1(3):116-21. doi: 10.4161/psb.1.3.2639.

Abstract

Recent studies suggest that plant roots can avoid competition with other roots of the same plant, but the mechanism behind this behavior is yet largely unclear and their effects on plant performance hardly studied. We grew combinations of two ramets of Trifolium repens in a single pot that were either intact, disconnected for a shorter or longer time, or that belonged to different genotypes. Interconnected ramets developed lower root length and mass than any other combination of ramets, supporting the notion that self/non-self discrimination in T. repens was based entirely on physiological coordination between different roots that develop on the same plant, rather than biochemical allorecognition. These responses were consistent among eight field-collected genotypes, suggesting that self/non-self discrimination is a common feature in wild populations of white clover. There were no significant treatment x genotype interactions suggesting that genetic variation for self/non-self discrimination may be limited. Self-interactions resulted in lower to similar shoot biomass and number of ramets, but higher flowering probabilities, compared to non-self interactions. Thus, our results demonstrated that the performance consequences of self/non-self discrimination may be more complicated than previously thought.

摘要

最近的研究表明,植物的根系可以避免与同一植物的其他根系竞争,但这种行为背后的机制在很大程度上仍不清楚,其对植物性能的影响也几乎没有得到研究。我们在一个单独的花盆中种植了两种三叶草的两个分株,这些分株要么完整,要么连接时间较短或较长,要么属于不同的基因型。相互连接的分株的根长和根质量比任何其他分株组合都低,这支持了这样一种观点,即在三叶草中,自我/非自我识别完全基于同一植物上不同根之间的生理协调,而不是生化异体识别。这一反应在 8 个田间采集的基因型中是一致的,表明自我/非自我识别是白三叶草野生种群的一个共同特征。处理与基因型之间没有显著的相互作用,这表明自我/非自我识别的遗传变异可能是有限的。与非自我相互作用相比,自我相互作用导致较低或相似的地上生物量和分株数量,但开花的可能性更高。因此,我们的结果表明,自我/非自我识别的性能后果可能比以前想象的更为复杂。

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