Illumina metabarcoding of a soil fungal community
By P. Schmidt, Miklós Bálint, B. Greshake, C. Bandow, J. Römbke, Imke Schmitt. 2013
402 citations recorded by the source corpus.
Subfields: Cell Biology, Ecology, Plant Science
View Paper: https://www.semanticscholar.org/paper/20ba0d2079a1df3d108bf5e6eb2af8f24285ef67
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In Ecology
- M. Miya
- T. Sado
- H. Yamanaka
- Toshifumi Minamoto
- Michio Kondoh
- Mehrdad Hajibabaei
- H. Araki
- Gregory A. C. Singer
In Plant Science
Citations in the corpus
- Metabarcoding From Microbes to Mammals: Comprehensive Bioassessment on a Global Scale (2020, background): “, covering only a single taxon or narrow taxonomic group) (Schmidt et al., 2013; Doi et al., 2019), and advancement will be made by expanding these models to include datasets covering broader ranges and along more gradients of environmental change, as well as incorporating variation from more of the”
- Ice nucleation activity in the widespread soil fungus Mortierella alpina (2015, neutral): “Recent studies have shown not only that the soilborne and airborne fungi are highly diverse (Buée et al., 2009; Fröhlich-Nowoisky et al., 2009; Schmidt et al., 2013) but also that their atmospheric transport leads to efficient exchange of species among ecosystems (Burrows et al.”
- Current overview on the study of bacteria in the rhizosphere by modern molecular techniques: a mini‒review (2015, background): “2011), 3,320 fungal OTUs (Schmidt et al., 2013), 145 to 200 of fungal OTUs (Xu et al.”
- MiFish, a set of universal PCR primers for metabarcoding environmental DNA from fishes: detection of more than 230 subtropical marine species (2015, background): “In a fungal metabarcoding study, pooling multiple repeated PCRs and using multiple annealing temperatures were recommended to facilitate the recovery of more correct species richness [50].”
- Soil biodiversity and DNA barcodes: opportunities and challenges (2015, background): “This is most certainly due to the relative easewith which this technique can be applied together with the continuous reduction of time and costs involved in using NGS platforms and the development of new bioinformatics pipelines to analyse the data (Schmidt et al., 2013; Yang et al., 2013).”