Plett Jonathan M, Kohler Annegret, Khachane Amit, Keniry Kerry, Plett Krista L, Martin Francis, Anderson Ian C
Hawkesbury Institute for the Environment, University of Western Sydney, Richmond, NSW, 2753, Australia.
INRA, UMR 1136 INRA-University of Lorraine, Interactions Arbres/Microorganismes, Laboratory of Excellence ARBRE, INRA-Nancy, 54280, Champenoux, France.
New Phytol. 2015 Jun;206(4):1423-36. doi: 10.1111/nph.13103. Epub 2014 Nov 5.
Using the newly available genome for Eucalyptus grandis, we sought to determine the genome-wide traits that enable this host to form mutualistic interactions with ectomycorrhizal (ECM) Pisolithus sp. and to determine how future predicted concentrations of atmospheric carbon dioxide (CO2 ) will affect this relationship. We analyzed the physiological and transcriptomic responses of E. grandis during colonization by different Pisolithus sp. isolates under conditions of ambient (400 ppm) and elevated (650 ppm) CO2 to tease out the gene expression profiles associated with colonization status. We demonstrate that E. grandis varies in its susceptibility to colonization by different Pisolithus isolates in a manner that is not predictable by geographic origin or the internal transcribed spacer (ITS)-based phylogeny of the fungal partner. Elevated concentrations of CO2 alter the receptivity of E. grandis to Pisolithus, a change that is correlated to a dramatic shift in the transcriptomic profile of the root. These data provide a starting point for understanding how future environmental change may alter the signaling between plants and their ECM partners and is a step towards determining the mechanism behind previously observed shifts in Eucalypt-associated fungal communities exposed to elevated concentrations of atmospheric CO2 .
利用新获得的巨桉基因组,我们试图确定使该宿主与外生菌根(ECM)皮氏菌形成共生相互作用的全基因组特征,并确定未来预测的大气二氧化碳(CO₂)浓度将如何影响这种关系。我们分析了在环境(400 ppm)和升高(650 ppm)的CO₂条件下,不同皮氏菌分离株定殖期间巨桉的生理和转录组反应,以梳理出与定殖状态相关的基因表达谱。我们证明,巨桉对不同皮氏菌分离株定殖的敏感性存在差异,这种差异无法通过地理来源或基于真菌伙伴的内转录间隔区(ITS)系统发育来预测。升高的CO₂浓度改变了巨桉对皮氏菌的接受性,这种变化与根部转录组谱的显著转变相关。这些数据为理解未来环境变化如何改变植物与其ECM伙伴之间的信号传导提供了一个起点,并且朝着确定先前观察到的暴露于升高浓度大气CO₂下的桉属相关真菌群落变化背后的机制迈出了一步。