Schlaeppi, Klaus and Bender, S. Franz and Mascher, Fabio and Russo, Giancarlo and Patrignani, Andrea and Camenzind, Tessa and Hempel, Stefan and Rillig, Matthias C. and van der Heijden, Marcel G. A.. (2016) High-resolution community profiling of arbuscular mycorrhizal fungi. New Phytologis, 212 (3). pp. 780-791.
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Official URL: https://edoc.unibas.ch/79054/
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Abstract
Community analyses of arbuscular mycorrhizal fungi (AMF) using ribosomal small subunit (SSU) or internal transcribed spacer (ITS) DNA sequences often suffer from low resolution or coverage. We developed a novel sequencing based approach for a highly resolving and specific profiling of AMF communities. We took advantage of previously established AMF-specific PCR primers that amplify a c. 1.5-kb long fragment covering parts of SSU, ITS and parts of the large ribosomal subunit (LSU), and we sequenced the resulting amplicons with single molecule real-time (SMRT) sequencing. The method was applicable to soil and root samples, detected all major AMF families and successfully discriminated closely related AMF species, which would not be discernible using SSU sequences. In inoculation tests we could trace the introduced AMF inoculum at the molecular level. One of the introduced strains almost replaced the local strain(s), revealing that AMF inoculation can have a profound impact on the native community. The methodology presented offers researchers a powerful new tool for AMF community analysis because it unifies improved specificity and enhanced resolution, whereas the drawback of medium sequencing throughput appears of lesser importance for low-diversity groups such as AMF.
Faculties and Departments: | 05 Faculty of Science > Departement Umweltwissenschaften > Integrative Biologie > Plant-Microbe Interaction (Schläppi) |
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UniBasel Contributors: | Schläppi, Klaus Bernhard |
Item Type: | Article, refereed |
Article Subtype: | Research Article |
Publisher: | Wiley-Blackwell |
ISSN: | 0028-646X |
e-ISSN: | 1469-8137 |
Note: | Publication type according to Uni Basel Research Database: Journal article |
Identification Number: |
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Last Modified: | 05 Nov 2020 11:58 |
Deposited On: | 05 Nov 2020 11:58 |
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