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基于微卫星的定量方法估计菌株混合物中内生拟盘多毛孢属物种的生物量。

Microsatellite-based quantification method to estimate biomass of endophytic Phialocephala species in strain mixtures.

机构信息

Institute of Integrative Biology, Forest Pathology and Dendrology, ETH Zurich, Zürich, Switzerland.

出版信息

Microb Ecol. 2011 Apr;61(3):676-83. doi: 10.1007/s00248-010-9798-z. Epub 2011 Jan 22.

Abstract

Fungi of the Phialocephala fortinii sensu lato-Acephala applanata species complex (PAC) are ubiquitous endophytic colonizers of tree roots in which they form genotypically diverse communities. Measurement of the colonization density of each of the fungal colonizers is a prerequisite to study the ecology of these communities. Up to now, there is no method readily available for the quantification of PAC strains co-colonizing the same root. The new DNA quantification method presented here is based on the amplification of microsatellites by competitive polymerase chain reaction (PCR). The method proved to be suitable to detect and quantify at least two strains within one single sample by the addition of a known amount of mycelium of a reference strain before DNA extraction. The method exploits the correlation between the reference/target ratio of light emitted during microsatellite detection (peak ratio) and the reference/target ratio of mycelial weights to determine the biomass of the target strain. Hence, calibration curves were obtained by linear regression of the peak ratios on the weight ratios for different mixtures of reference and target strains. The slopes of the calibration curves and the coefficients of determination were close to 1, indicating that peak ratios are good predictors of weight ratios. Estimates of fungal biomass in mycelial test mixtures of known composition laid within the 95% prediction interval and deviated on average by 16% (maximally 50%) from the true biomass. On average, 3-6% of the root biomass of Norway spruce seedlings consisted of mycelial biomass of either one of two inoculated PAC strains. Biomass estimates obtained by real-time quantitative PCR were correlated with the estimates obtained by the microsatellite-based method, but variation between the two estimates from the same root was high in some samples. The microsatellite-based DNA quantification method described here is currently the best method for strainwise estimation of endophytic biomass of PAC fungi in small root samples.

摘要

广义金壳果盘菌-扁盘盘菌复合种(PAC)中的真菌是树木根系中无处不在的内生定植菌,在其中形成具有遗传多样性的群落。测量每种真菌定植菌的定植密度是研究这些群落生态学的前提。到目前为止,还没有一种方法可以直接定量共定植在同一根系中的 PAC 菌株。本文提出的新 DNA 定量方法基于竞争性聚合酶链反应(PCR)扩增微卫星。该方法通过在 DNA 提取前添加已知量的参考菌株菌丝体,证明适合在单个样本中检测和定量至少两种菌株。该方法利用微卫星检测过程中发射光的参考/目标比率(峰比率)与菌丝体重量的参考/目标比率之间的相关性,来确定目标菌株的生物量。因此,通过不同参考和目标菌株混合物的峰比率与重量比率的线性回归获得校准曲线。校准曲线的斜率和决定系数接近 1,表明峰比率是重量比率的良好预测指标。在已知组成的菌丝体测试混合物中,真菌生物量的估计值位于 95%预测区间内,平均偏差为真实生物量的 16%(最大偏差为 50%)。平均而言,挪威云杉幼苗根系生物量的 3-6%由接种的两种 PAC 菌株之一的菌丝体生物量组成。实时定量 PCR 获得的生物量估计值与基于微卫星的方法获得的估计值相关,但来自同一根系的两个估计值之间的差异在某些样本中很大。本文描述的基于微卫星的 DNA 定量方法是目前在小根样本中定量 PAC 真菌内生生物量的最佳方法。

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