Literature DB >> 33475800

Relative qPCR to quantify colonization of plant roots by arbuscular mycorrhizal fungi.

Natacha Bodenhausen1,2, Gabriel Deslandes-Hérold3,4, Jan Waelchli3,4, Alain Held1, Marcel G A van der Heijden1,5, Klaus Schlaeppi6,7,8.   

Abstract

Arbuscular mycorrhiza fungi (n class="Chemical">AMF) are benpan>eficial soil funpan>gi that canpan> promote the growth of their host planpan>ts. Accurate quanpan>tificationpan> of pan> class="Chemical">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.

Entities:  

Keywords:  Arbuscular mycorrhizal fungi; Petunia; Quantitative PCR (qPCR); Relative quantification

Mesh:

Substances:

Year:  2021        PMID: 33475800     DOI: 10.1007/s00572-020-01014-1

Source DB:  PubMed          Journal:  Mycorrhiza        ISSN: 0940-6360            Impact factor:   3.387


  22 in total

Review 1.  Methods of studying soil microbial diversity.

Authors:  Jennifer L Kirk; Lee A Beaudette; Miranda Hart; Peter Moutoglis; John N Klironomos; Hung Lee; Jack T Trevors
Journal:  J Microbiol Methods       Date:  2004-08       Impact factor: 2.363

2.  Phylogenetic reference data for systematics and phylotaxonomy of arbuscular mycorrhizal fungi from phylum to species level.

Authors:  Manuela Krüger; Claudia Krüger; Christopher Walker; Herbert Stockinger; Arthur Schüßler
Journal:  New Phytol       Date:  2011-12-09       Impact factor: 10.151

3.  Real-time PCR and microscopy: are the two methods measuring the same unit of arbuscular mycorrhizal fungal abundance?

Authors:  Hannes A Gamper; J Peter W Young; David L Jones; Angela Hodge
Journal:  Fungal Genet Biol       Date:  2007-09-25       Impact factor: 3.495

4.  Rapid determination of fungal colonization and arbuscule formation in roots of Medicago truncatula using real-time (RT) PCR.

Authors:  Stanislav Isayenkov; Thomas Fester; Bettina Hause
Journal:  J Plant Physiol       Date:  2004-12       Impact factor: 3.549

Review 5.  Non-Mycorrhizal Plants: The Exceptions that Prove the Rule.

Authors:  Marco Cosme; Ivan Fernández; Marcel G A Van der Heijden; Corné M J Pieterse
Journal:  Trends Plant Sci       Date:  2018-05-09       Impact factor: 18.313

6.  Simple absolute quantification method correcting for quantitative PCR efficiency variations for microbial community samples.

Authors:  Robert Brankatschk; Natacha Bodenhausen; Josef Zeyer; Helmut Bürgmann
Journal:  Appl Environ Microbiol       Date:  2012-04-06       Impact factor: 4.792

7.  TaqMan real-time PCR assays to assess arbuscular mycorrhizal responses to field manipulation of grassland biodiversity: effects of soil characteristics, plant species richness, and functional traits.

Authors:  Stephan König; Tesfaye Wubet; Carsten F Dormann; Stefan Hempel; Carsten Renker; François Buscot
Journal:  Appl Environ Microbiol       Date:  2010-04-23       Impact factor: 4.792

8.  Are there benefits of simultaneous root colonization by different arbuscular mycorrhizal fungi?

Authors:  Jan Jansa; F Andrew Smith; Sally E Smith
Journal:  New Phytol       Date:  2007-11-27       Impact factor: 10.151

9.  DADA2: High-resolution sample inference from Illumina amplicon data.

Authors:  Benjamin J Callahan; Paul J McMurdie; Michael J Rosen; Andrew W Han; Amy Jo A Johnson; Susan P Holmes
Journal:  Nat Methods       Date:  2016-05-23       Impact factor: 28.547

10.  myTAI: evolutionary transcriptomics with R.

Authors:  Hajk-Georg Drost; Alexander Gabel; Jialin Liu; Marcel Quint; Ivo Grosse
Journal:  Bioinformatics       Date:  2018-05-01       Impact factor: 6.937

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  1 in total

1.  SymbiQuant: A Machine Learning Object Detection Tool for Polyploid Independent Estimates of Endosymbiont Population Size.

Authors:  Edward B James; Xu Pan; Odelia Schwartz; Alex C C Wilson
Journal:  Front Microbiol       Date:  2022-05-19       Impact factor: 6.064

  1 in total

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