The UNITE database for molecular identification of fungi--recent updates and future perspectives.

By Kessy Abarenkov, R. Henrik Nilsson, Karl-Henrik Larsson, I. Alexander, U. Eberhardt, S. Erland, K. Høiland, R. Kjøller, E. Larsson, T. Pennanen and 8 more. New Phytologist, 2010

1,822 citations recorded by the source corpus.

Subfields: Cell Biology, Molecular Biology, Plant Science

View Paper: https://www.semanticscholar.org/paper/d01e2a2519e07fc6415cb93a98e8cbe4c3d38f8b

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Citations in the corpus

Distinct soil microbial diversity under long-term organic and conventional farming (2014, methodology): “, 2011) and UNITE (Abarenkov et al., 2010) using the naive Bayesian classifier (Wang et al.”
The legacy effect of cover crops on soil fungal populations in a cereal rotation (2016, background): “For many but not all fungal groups (Schoch et al., 2014), more reference sequences are available via GenBank and UNITE databases for the ITS region (Kõljalg et al., 2013; Schoch et al., 2014) than for other LSU and other loci.”
Five simple guidelines for establishing basic authenticity and reliability of newly generated fungal ITS sequences. (2012, methodology): “The sequences in INSD and UNITE are often used as reference datasets to which newly generated (“query”) sequences are compared in pursuit of taxonomic and ecological annotation.”
The online database MaarjAM reveals global and ecosystemic distribution patterns in arbuscular mycorrhizal fungi (Glomeromycota). (2010, background): “In order to overcome these limitations, specialized curated databases are increasingly being compiled to provide high-quality sequences with complete and correct annotations, including a verified taxonomic identification (Kõljalg et al., 2005; Abarenkov et al., 2010).”
Environmental DNA metabarcoding: Transforming how we survey animal and plant communities (2017, background): “…markers for prokaryotes (Cole et al., 2009), microbial eukaryotes (Guillou et al., 2013; Pruesse et al., 2007; Quast et al., 2012) and fungi (Abarenkov et al., 2010), meaning that microbial data sets can be analysed and taxonomic affiliations established are established in a straightforward…”
Branching out: Towards a trait-based understanding of fungal ecology (2015, background): “A trait database could be linked to genetic barcodes (the choice of which has recently been agreed upon for fungi (K~oljalg et al., 2013; Schoch et al., 2012)), and integratedwith taxonomic databases such as UNITE andDEEMY for ectomycorrhizal fungi (Abarenkov et al., 2010; Agerer and Rambold, 2004).”