Fungi Nikkaluoktales TedersooLehoMagurnoFrancoAlkahtaniSaadMikryukovVladimirPhylogenetic classification of arbuscular mycorrhizal fungi: new species and higher-ranking taxa in Glomeromycota and Mucoromycota (class Endogonomycetes)MycoKeys0908202410727332510.3897/mycokeys.107.125549 D9F0E42A-593A-5E2A-AD53-C7C9823073F6 Nikkaluoktaceae 853605 Tedersoofam. nov.Type genus.

Nikkaluokta Tedersoo.

Description.

Covers the monophyletic group in Nikkaluoktales (Fig. 2). Phylogenetically delimited as the least inclusive clade covering sequence accessions EUK1203196, EUK1600291 and EUK1600248 (Suppl. material 3).

Notes.

Recognised based on eDNA sequences only. Currently includes Nikkaluokta and another potentially genus-level group that is represented by sequences EUK1602730 (GSMc plot S554, Betula-Quercus woodland soil in Mädapea, Estonia, 59.32169°N, 26.2621°E); EUK1602729 (GSMc plot FF14, Piceaabies forest soil in Kõdesi, Estonia, 58.61484°N, 27.12781°E); and EUK1600257 (GSMc plot G4464, Quercusrobur forest soil in Ruu, Estonia, 59.45059°N, 25.22166°E).

10.3897/mycokeys.107.125549.figure213293561C0A673EE-DA3D-5B65-9DC3-773776B277D3

Phylogenetic position of genera and genus-level groups of Endogonomycetes based on Maximum Likelihood analysis of SSU-5.8S-LSU sequences. The clades are collapsed, with the number of sequences included in parentheses. Question marks above branches indicate low ultra-rapid bootstrap support (< 95). Orders are highlighted in different colours. The uncollapsed phylogram is given in Suppl. material 3.

https://binary.pensoft.net/fig/1111389
10.3897/mycokeys.107.125549.suppl31329358180ED33A9-5F0A-5B9E-98C7-F4F33461D76C

Maximum Likelihood phylogram indicating phylogenetic relationships amongst Endogonomycetes based on SSU-5.8S-LSU sequences

pdf

https://binary.pensoft.net/file/1111407This dataset is made available under the Open Database License (http://opendatacommons.org/licenses/odbl/1.0/). The Open Database License (ODbL) is a license agreement intended to allow users to freely share, modify, and use this Dataset while maintaining this same freedom for others, provided that the original source and author(s) are credited.Leho Tedersoo, Franco Magurno, Saad Alkahtani, Vladimir Mikryukov