2020
DOI: 10.1186/s43008-020-00045-9
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Naming the untouchable – environmental sequences and niche partitioning as taxonomical evidence in fungi

Abstract: Due to their submerged and cryptic lifestyle, the vast majority of fungal species are difficult to observe and describe morphologically, and many remain known to science only from sequences detected in environmental samples. The lack of practices to delimit and name most fungal species is a staggering limitation to communication and interpretation of ecology and evolution in kingdom Fungi. Here, we use environmental sequence data as taxonomical evidence and combine phylogenetic and ecological data to generate … Show more

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Cited by 23 publications
(20 citation statements)
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“…There has been much discussion in the mycological community on using metagenomic DNA from environmental samples as holotypes and in general for taxon naming [ 103 , 104 , 105 , 106 , 107 , 108 , 109 , 110 ]. In addition, the first studies on naming DNA-based taxa have already been published, e.g., De Beer et al [ 111 ], Lücking and Moncada [ 112 ], Kalsoom Khan et al [ 113 ]. The ITS1 and ITS2 phylotypes attributed to Zanclospora represent either new lineages or already described species that have not yet been sequenced.…”
Section: Discussionmentioning
confidence: 99%
“…There has been much discussion in the mycological community on using metagenomic DNA from environmental samples as holotypes and in general for taxon naming [ 103 , 104 , 105 , 106 , 107 , 108 , 109 , 110 ]. In addition, the first studies on naming DNA-based taxa have already been published, e.g., De Beer et al [ 111 ], Lücking and Moncada [ 112 ], Kalsoom Khan et al [ 113 ]. The ITS1 and ITS2 phylotypes attributed to Zanclospora represent either new lineages or already described species that have not yet been sequenced.…”
Section: Discussionmentioning
confidence: 99%
“…We then grouped ASVs into phylogeny-based species hypotheses (SHs) using a Poisson tree process model (PTP; Zhang et al 2013), based on a phylogenetic tree built from the reads. Denoised ASVs were generated from the dataset using the procedure established in Kalsoom- Khan et al (2020) after assessing general read quality and ensuring that the majority of reads fell within the expected length (1-2 kb). Raw sequence reads were filtered and trimmed using the tool cutadapt (version 1.18; Martin 2011) to demultiplex reads based on the forward and reverse barcodes, to keep only reads with both primers present, and to remove the actual primer sequences from the reads.…”
Section: Bioinformatic Sequence Analysesmentioning
confidence: 99%
“…The maximum likelihood tree contained multiple issues including nonfungal lineages and possible chimeras. Class-level taxonomic assignments with a SIN-TAX confidence value of 0.8 or higher were added to the ASV name in the tree file using a customized script (Kalsoom Khan et al 2020) in order to aid pruning of nonfungal lineages from the initial phylogenetic tree. A series of alignments and trees were generated by stepwise removal of ASVs that were determined to be non-fungal based on SINTAX taxonomy assignment and their placement in the tree.…”
Section: Bioinformatic Sequence Analysesmentioning
confidence: 99%
“…Adding environmental DNA-samples to our basidiome data could be a next step to clarify the situation (cf. Kalsoom Khan et al 2020 ).…”
Section: Discussionmentioning
confidence: 99%