ArticleMycorrhiza2021
Relative qPCR to quantify colonization of plant roots by arbuscular mycorrhizal fungi.
Article in Mycorrhiza, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
17 citing papers in PubMed.
- Article
- From manual scoring to machine learning: recent developments in image-based arbuscular mycorrhizal fungi root quantification.Mycorrhiza · 2026Review
- Arbuscular Mycorrhizal Fungi Mitigate Drought-Enhanced Herbivore Performance in Maize.Plant, cell & environment · 2026Article
- Mycelial dynamics in arbuscular mycorrhizal fungi.The New phytologist · 2026Review
- What does colonisation tell us? Revisiting the functional outcomes of root colonisation by arbuscular mycorrhizal fungi.The New phytologist · 2025Article
- The rootstock modifies the arbuscular mycorrhizal community of the root system, while the influence of the scion is limited in grapevines.Environmental microbiology reports · 2024Article
- Both the scion and rootstock of grafted grapevines influence the rhizosphere and root endophyte microbiomes, but rootstocks have a greater impact.Environmental microbiome · 2024Article
- Efficiently recording and processing data from arbuscular mycorrhizal colonization assays using AMScorer and AMReader.Frontiers in plant science · 2024Article
- Quantification of arbuscular mycorrhizal fungi root colonization in wheat, tomato, and leek using absolute qPCR.Mycorrhiza · 2023Article
- Article
- Optimization of Molecular Methods for Detecting Duckweed-Associated Bacteria.Plants (Basel, Switzerland) · 2023Article
- Exogenous myristate promotes the colonization of arbuscular mycorrhizal fungi in tomato.Frontiers in plant science · 2023Article
- Manipulating atmospheric COFrontiers in microbiology · 2023Article
- Use of a RT-qPCR Method to Estimate Mycorrhization Intensity and Symbiosis Vitality in Grapevine Plants Inoculated withPlants (Basel, Switzerland) · 2022Article
- Multiplex qPCR assays to distinguish individual species of arbuscular mycorrhizal fungi from roots and soil.Mycorrhiza · 2022Article
- SymbiQuant: A Machine Learning Object Detection Tool for Polyploid Independent Estimates of Endosymbiont Population Size.Frontiers in microbiology · 2022Article
- A new species ofMycologiaArticle
Corrections and comments
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Authors and funding
6 authors.
Funding
Abstract
Arbuscular mycorrhiza fungi (AMF) are beneficial soil fungi that can promote the growth of their host plants. Accurate quantification of AMF in plant roots is important because the level of colonization is often indicative of the activity of these fungi. Root colonization is traditionally measured with microscopy methods which visualize fungal structures inside roots. Microscopy methods are labor-intensive, and results depend on the observer. In this study, we present a relative qPCR method to quantify AMF in which we normalized the AMF qPCR signal relative to a plant gene. First, we validated the primer pair AMG1F and AM1 in silico, and we show that these primers cover most AMF species present in plant roots without amplifying host DNA. Next, we compared the relative qPCR method with traditional microscopy based on a greenhouse experiment with Petunia plants that ranged from very high to very low levels of AMF root colonization. Finally, by sequencing the qPCR amplicons with MiSeq, we experimentally confirmed that the primer pair excludes plant DNA while amplifying mostly AMF. Most importantly, our relative qPCR approach was capable of discriminating quantitative differences in AMF root colonization and it strongly correlated (Spearman Rho = 0.875) with quantifications by traditional microscopy. Finally, we provide a balanced discussion about the strengths and weaknesses of microscopy and qPCR methods. In conclusion, the tested approach of relative qPCR presents a reliable alternative method to quantify AMF root colonization that is less operator-dependent than traditional microscopy and offers scalability to high-throughput analyses.
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