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231224s2016 xx |||||o 00| ||eng c |
| 024 |
7 |
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|a 10.1111/nph.14070
|2 doi
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|a eng
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| 100 |
1 |
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|a Schlaeppi, Klaus
|e verfasserin
|4 aut
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| 245 |
1 |
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|a High-resolution community profiling of arbuscular mycorrhizal fungi
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|c 2016
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| 336 |
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|a Text
|b txt
|2 rdacontent
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|a ƒaComputermedien
|b c
|2 rdamedia
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| 338 |
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|a ƒa Online-Ressource
|b cr
|2 rdacarrier
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| 500 |
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|a Date Completed 26.01.2018
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| 500 |
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|a Date Revised 30.09.2020
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|a published: Print-Electronic
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|a Citation Status MEDLINE
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|a © 2016 The Authors. New Phytologist © 2016 New Phytologist Trust.
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|a 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
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4 |
|a Journal Article
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| 650 |
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4 |
|a AMF community analyses
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| 650 |
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4 |
|a AMF inoculation
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| 650 |
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|a Glomeromycota diversity
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| 650 |
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4 |
|a arbuscular mycorrhizal fungi (AMF)
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| 650 |
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4 |
|a microbiome
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| 650 |
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4 |
|a single molecule real-time (SMRT) sequencing
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| 650 |
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7 |
|a DNA, Fungal
|2 NLM
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| 650 |
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7 |
|a RNA, Ribosomal
|2 NLM
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| 700 |
1 |
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|a Bender, S Franz
|e verfasserin
|4 aut
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| 700 |
1 |
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|a Mascher, Fabio
|e verfasserin
|4 aut
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| 700 |
1 |
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|a Russo, Giancarlo
|e verfasserin
|4 aut
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| 700 |
1 |
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|a Patrignani, Andrea
|e verfasserin
|4 aut
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| 700 |
1 |
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|a Camenzind, Tessa
|e verfasserin
|4 aut
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| 700 |
1 |
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|a Hempel, Stefan
|e verfasserin
|4 aut
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| 700 |
1 |
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|a Rillig, Matthias C
|e verfasserin
|4 aut
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| 700 |
1 |
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|a van der Heijden, Marcel G A
|e verfasserin
|4 aut
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| 773 |
0 |
8 |
|i Enthalten in
|t The New phytologist
|d 1990
|g 212(2016), 3 vom: 10. Nov., Seite 780-791
|w (DE-627)NLM09818248X
|x 1469-8137
|7 nnns
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| 773 |
1 |
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|g volume:212
|g year:2016
|g number:3
|g day:10
|g month:11
|g pages:780-791
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|u http://dx.doi.org/10.1111/nph.14070
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