Experimental Plant Ecology, Radboud University Nijmegen, Toernooiveld 1, 6525 ED, Nijmegen, The Netherlands, Aquatic & Environmental Biology, Molecular Ecology Group, Radboud University Nijmegen, Toernooiveld 1, 6525 ED, Nijmegen, The Netherlands.
Mol Ecol Resour. 2008 Sep;8(5):947-53. doi: 10.1111/j.1755-0998.2008.02130.x. Epub 2008 Jun 28.
Knowledge on below-ground plant distributions is almost lacking to date, despite the fact that such information would be very valuable in understanding below-ground competition and species-specific interactions, processes that are expected to shape community structure. Methods available so far for below-ground species determination have drawbacks that we tried to challenge. Some methods make use of differences in the chemical composition between species, but this is highly variable upon environmental factors. DNA-based techniques - far less dependent on chemical composition - such as polymerase chain reaction on internal transcribed spacer (ITS) primers can so far only determine presence-absence of a species in a mixed root sample. Here, we present a quantitative DNA-based technique that allows investigation of relative species abundances in experimental mixed root samples. We used quantitative real-time polymerase chain reaction (PCR) on species-specific markers obtained from intersimple sequence repeat (ISSR) analyses in root samples. This molecular technique is novel in the field of root ecology and its development overcame three challenges: (i) determination of species-specific DNA fragments, (ii) development and optimization of the real time PCR protocol, (iii) designing a data treatment method based on a modified delta-delta-cycle threshold (CT) analysis. The method gained robustness from using relative DNA abundances in species mixtures rather than absolute concentration readings. This requires accurate multispecies reference series as a calibration. Test samples with different known biomass ratios of all species showed proof of concept of this method. The pro's and contra's of this method are discussed in the light of its contribution to advancing ecological research on below-ground plant-plant interactions.
目前,地下植物分布的知识几乎完全缺失,尽管这些信息对于理解地下竞争和物种特异性相互作用非常有价值,而这些过程预计将塑造群落结构。迄今为止,用于地下物种鉴定的方法存在一些缺点,我们试图挑战这些缺点。一些方法利用物种之间化学成分的差异,但这在很大程度上取决于环境因素。基于 DNA 的技术——远不那么依赖化学成分——例如聚合酶链反应(PCR)内部转录间隔区(ITS)引物,目前只能确定混合根系样本中物种的存在或不存在。在这里,我们提出了一种基于定量 DNA 的技术,可用于研究实验混合根系样本中相对物种丰度。我们使用从根系样本中的简单重复序列间(ISSR)分析获得的物种特异性标记的定量实时 PCR(qPCR)。该分子技术在根系生态学领域是新颖的,其发展克服了三个挑战:(i)确定物种特异性 DNA 片段,(ii)开发和优化实时 PCR 协议,(iii)基于改进的 delta-delta-循环阈值(CT)分析设计数据处理方法。该方法通过在物种混合物中使用相对 DNA 丰度而不是绝对浓度读数获得了稳健性。这需要使用准确的多物种参考系列进行校准。具有所有物种不同已知生物量比的测试样本证明了该方法的概念验证。根据该方法对地下植物-植物相互作用的生态研究的贡献,讨论了该方法的优缺点。