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数字PCR可实现土壤样本中根系生物量的直接定量和物种分析。

Digital PCR enables direct root biomass quantification and species profiling in soil samples.

作者信息

Shynggyskyzy Nurbanu, Madsen Claus Krogh, Gregersen Per L, Rasmussen Jim, Jørgensen Uffe, Brinch-Pedersen Henrik

机构信息

Aarhus University, Department of Agroecology, Research Centre Flakkebjerg, Slagelse DK-4200, Denmark.

Aarhus University, Department of Agroecology, Campus Viborg, Tjele DK-8830, Denmark.

出版信息

Plant Physiol. 2025 Jul 3;198(3). doi: 10.1093/plphys/kiaf276.

Abstract

Roots support plant growth and resilience and are a major route for carbon sequestration. Thus, the study of roots in agricultural and natural systems is essential to develop strategies to mitigate and adjust to climate change. Methods to quantify root biomass in mono- and mixed crop systems are therefore in high demand. A promising approach is to exploit the correlation between root biomass and nuclear DNA. The use of qPCR for the quantitative analysis of root samples has been reported. Here, we show how digital PCR can be used to quantify root DNA from soil samples harboring single species or species mixtures. This molecular method has several advantages over more time-consuming methods, including enhanced sensitivity and absolute quantification of target DNA, increased accuracy and reliability, and the ability to quantify roots directly from soil in different species mixtures. We developed a DNA-based digital droplet PCR (ddPCR) method for root species profiling and biomass quantification directly from soil samples under semi-field conditions. Our findings suggest that implementing this ddPCR method can substantially simplify and improve root quantification of specific species, even in crop mixtures. This method offers a more time- and labor-efficient alternative to traditional techniques (e.g. root separation or C13 labeling). The complement of primer-probe sets presented here can be continuously expanded to include additional plant species, thus broadening the scope of this DNA-based ddPCR method.

摘要

根系支持植物生长并增强其恢复力,是碳固存的主要途径。因此,研究农业和自然系统中的根系对于制定缓解和适应气候变化的策略至关重要。因此,对单作和混合作物系统中根系生物量进行量化的方法需求很大。一种有前景的方法是利用根系生物量与核DNA之间的相关性。已有报道使用qPCR对根系样本进行定量分析。在此,我们展示了如何使用数字PCR来量化来自含有单一物种或物种混合物的土壤样本中的根系DNA。这种分子方法比耗时更长的方法具有多个优势,包括增强对目标DNA的灵敏度和绝对定量、提高准确性和可靠性,以及能够直接对不同物种混合物土壤中的根系进行量化。我们开发了一种基于DNA的数字液滴PCR(ddPCR)方法,用于在半田间条件下直接从土壤样本中进行根系物种分析和生物量定量。我们的研究结果表明,实施这种ddPCR方法可以大幅简化和改进特定物种的根系定量,即使是在作物混合物中。该方法为传统技术(如根系分离或C13标记)提供了一种更省时省力的替代方法。此处展示的引物-探针组补充可以不断扩展,以纳入更多植物物种,从而拓宽这种基于DNA的ddPCR方法的应用范围。

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