Literature DB >> 35068984

Infraspecific variation of some brown Parmeliae (in Poland) - a comparison of ITS rDNA and non-molecular characters.

Katarzyna Szczepańska1, Beata Guzow-Krzemińska2, Jacek Urbaniak1.   

Abstract

Infraspecific variation of the ITS rDNA region of some brown Parmeliae occurring in Poland is studied and compared with non-molecular characters. Haplotype networks are used to illustrate the variability within the species. Both newly-produced sequences from Central Europe and from all over the world, downloaded from the GenBank, are used. The number of haplotypes found for each taxon ranged from five in Melaneliastygia to 12 in Melaneliahepatizon and Montaneliadisjuncta; however, their numbers correlate with the number of specimens tested. New haplotypes for Melaneliaagnata, M.hepatizon and Cetrariacommixta are found. Based on our 169-sample dataset, we could not infer any geographical correlation, either locally or world-wide. Many of the analysed haplotypes were widely distributed and the same haplotype was often shared between temperate and polar populations. A comparison of molecular, morphological, anatomical and chemical characters also shows no correlation. Katarzyna Szczepańska, Beata Guzow-Krzemińska, Jacek Urbaniak.

Entities:  

Keywords:  Cryptic species; Parmeliaceae; haplotype; lichenised fungi; phylogeny; taxonomy

Year:  2021        PMID: 35068984      PMCID: PMC8716509          DOI: 10.3897/mycokeys.85.70552

Source DB:  PubMed          Journal:  MycoKeys        ISSN: 1314-4049            Impact factor:   2.984


Introduction

The brown (Esslinger 1977) have been an object of numerous studies (Guzow-Krzemińska and Węgrzyn 2003; Blanco et al. 2005; Crespo et al. 2010, 2011; Nelsen et al. 2011; Divakar et al. 2012; Thell et al. 2012; Leavitt et al. 2014, 2015) and, due to this exceptional attention, they are one of the best-studied assemblages in the family . These lichens are a polyphyletic group possessing foliose, a dark to medium brown thallus and usually lacking atranorin or usnic acid in the cortex (Esslinger 1977; Blanco et al. 2004). For many years, one of the largest genera within this group was Essl., segregated from Ach. by Esslinger (1978) to accommodate species with brown, foliose thalli and an N– cortex layer. However, during the following years, it has been demonstrated that the genus s. lat. was polyphyletic and several new genera were distinguished within it, such as O. Blanco et al., O. Blanco et al. (Blanco et al. 2004) and Divakar et al. (Divakar et al. 2012). In traditional terms, brown includes other genera, such as (Vain.) Essl., Petr. and some species of (Vain.) Hale. Moreover, due to the historical taxonomic approach (Thell 1995; Rico et al. 2005) and the similarity in the morphological and anatomical features of thalli, is also referred to this group. Our studies have focused on the saxicolous species of and genera. According to Otte et al. (2005), species of these genera are arctic-alpine, circumpolar and occur on silicate rocks in the mountain areas of the Northern Hemisphere, including Arctic Regions (Divakar et al. 2012). Nowadays, s. str. is restricted to a small clade of saxicolous, cetrarioid lichens and includes four species: (Nyl.) A. Thell, (Ach.) A. Thell, (Essl.) Essl. and (L.) Essl. According to Thell (1995), these species are characterised by broadly clavate asci with a small tholus and a broad axial body, a thick, paraplectenchymatous cortex and dumb-bell-shaped pycnoconidia. , representing the parmelioid clade, includes eight species: (Erichsen) Divakar, A. Crespo, Wedin & Essl., S.D. Leav., Essl., Divakar, A. Crespo & Lumbsch, (Nyl.) Divakar, A. Crespo, Wedin & Essl., (Essl.) Divakar, A. Crespo, Wedin & Essl., (R.A. Anderson & W.A. Weber) S.D. Leav., Essl., Divakar, A. Crespo & Lumbsch, S.D. Leav., Essl., Divakar, A. Crespo & Lumbsch, (Ach.) Divakar, A. Crespo, Wedin & Essl. and (Oxner) Divakar, A. Crespo, Wedin & Essl. (Divakar et al. 2012; Leavitt et al. 2015; Leavitt et al. 2016). The characteristic features of the genus are short and narrow lobes, with flat to convex lobe margins, a non-pored epicortex, cylindrical to fusiform conidia, a medulla containing orcinol depsides and flat, effigurate pseudocyphellae (absent only in ; Divakar et al. 2012). Three of these species (, and ) have broad, intercontinental distributions, with no evidence of phylogeographic substructure (Leavitt et al. 2015). The genera and have been the subject of a critical revision in Poland and data concerning their distribution, ecology and morphological, anatomical and chemical features are presented in previous papers (Szczepańska et al. 2015; Szczepańska and Kossowska 2017). However, recent molecular studies imply that both genera may include previously unrecognised species-level diversity (Divakar et al. 2012; Leavitt et al. 2014), especially within Icelandic populations of (Xu et al. 2017). One of the goals of this study was to assess the intraspecific internal transcribed spacer (ITS) rDNA variability in brown species. Investigations of genetic variation in lichen-forming symbionts have advanced considerably in recent years and resulted in interesting conclusions (Palice and Printzen 2004; Lindblom and Ekman 2006; Domaschke et al. 2012; Starosta and Svoboda 2020). Although brown appear to be well studied in taxonomic terms, there are insufficient molecular data to estimate their genetic variation. Most of the available data concern samples collected in a few regions of the world, such as Europe and North America. The North American species of this group were studied in Greenland and Canada (Leavitt et al. 2014; Leavitt et al. 2015), while samples from Europe originated mainly from the north – Iceland, Finland, Norway and Sweden (Blanco et al. 2004; Divakar et al. 2012; Xu et al. 2017). Therefore, we decided to fill in the gap in sampling and focused our study on samples collected in Central Europe. We have used phylogenetic trees and haplotype networks to investigate the extent of molecular differences between newly-generated sequences from samples collected in Central Europe (Austria, Czech Republic, Germany, Poland and Slovakia) and others originating from different geographical regions. Due to additional samplings from previously unexplored areas, it was possible to evaluate and compare the genetic variability of the studied specimens in Central Europe with samples from other regions of the world and to identify areas with the greatest haplotype diversity. In addition, we analysed morphological, anatomical and chemical characters of collected specimens to find a potential correlation between phenotypic characters and genetic variation of the studied taxa. By analysing genetic diversity and geographical distribution of identified haplotypes, as well as phenotypic characters of collected samples, we tried to better define and designate the species boundaries within analysed taxa. Special emphasis was placed on analysis of European, Greenlandic and Icelandic samples of and to revise the hypothesis assuming a semi-cryptic or cryptic nature of their potential species-level diversity.

Materials and methods

Taxon sampling

The study is based on collections from the AMNH, C and WRSL Herbaria, as well as the private material of Dr Maria Kossowska (hb. Kossowska). Our sampling focused on saxicolous representatives of the family occurring in Poland, with brown, foliose thalli, such as , , , , and . We also included the holotype of (; Austria, Tirol, Gerölle unter dem Gneissfelsen zum wilden see. Auf dem Kraxentrag, Tirol, Brenner 225, Aug 1871, H-NYL 36086), borrowed from Herbarium of W. Nylander in Helsinki in our analyses. Specimens for molecular study were selected after detailed morphological and chemical analyses. Due to DNA degradation, it was not possible to use samples collected more than three years prior to the DNA extraction procedure in most cases. As the and specimens from Greenland and Iceland were collected more than 10 years ago, we had to limit our phylogenetic analyses to ITS rDNA markers and used the sequences stored in GenBank. Before phylogenetic analysis, newly-obtained ITS rDNA sequences were subjected to a BLAST search (Altschul et al. 1997). The final ITS dataset used in this study includes 52 sequences newly generated and 117 sequences downloaded from GenBank (Table 1).
Table 1

. The species and specimens used in the phylogenetic analyses and/or haplotype network analyses, sequences newly generated for this study are in bold.

SpeciesYear of collectionIsolateLocalityCollector (-s)Voucher specimens (herbarium)GenBank no. (ITS)
Cetrariellacommixta 2007 36 Poland, Sudety Mts Kossowska, M. Kossowska 107 (personal herbarium) MZ029708
Cetrariellacommixta 2008 37 Poland, Sudety Mts Kossowska, M. Kossowska 231 (personal herbarium) MZ029709
Cetrariellacommixta 2016 97 Poland, Sudety Mts Szczepańska, K. Szczepańska 1137 (WRSL) MZ029733
Cetrariellacommixta 2016 124 Poland, Sudety Mts Szczepańska, K. Szczepańska 1184 (WRSL) MZ029753
Cetrariellacommixta 2018 129 Germany, Bayerischer Wald Szczepańska, K. Szczepańska 1267 (WRSL) MZ029758
Cetrariellacommixta FinlandHaikonen, V.Haikonen 19093 (H) AF451796
Cetrariellacommixta 1996Canada, British ColumbiaMiao, V. & Taylor, T. AF451797
Cetrariellacommixta SwedenWedin, M.Wedin 8143 (UPS) GU994554
Cetrariellacommixta Spain, SegoviaRico, V. J.15555 (MAF) GU994555
Cetrariellacommixta 2004CCO 01Sweden, Lule Lappmark1273926 (LD) KC990132
Cetrariellacommixta 6543Greenland, SEm, TasilaqHansen, E. S.Hansen ESH-10B.139 (C) KF257934
Cetrariellacommixta 6547Greenland, SWm, QeqertaqHansen, E. S.Hansen ESH-09.087 (C) KF257935
Cetrariellacommixta 6567Greenland, S, IgalikuHansen, E. S.Hansen ESH-08.173 (C) KF257936
Cetrariellacommixta 6570Greenland, SWm, MidgardHansen, E. S.Hansen ES-09.030 (C) KF257937
Cetrariellacommixta 6572Greenland, S, AappilattoqHansen, E. S.Hansen ES-04.070 (C) KF257938
Cetrariellacommixta 6573Greenland, SWm, QeqertaqHansen, E. S.Hansen ES-09.064 (C) KF257939
Cetrariellacommixta 2014Norway, FinnmarkWestberg, M.O-L-195926 KY266843
Melaneliaagnata 2016 102 Poland, Karpaty Mts Szczepańska, K. Szczepańska 1151 (WRSL) MZ029737
Melaneliaagnata 2016 103 Poland, Karpaty Mts Szczepańska, K. Szczepańska 1150 (WRSL) MZ029738
Melaneliaagnata 20096549Greenland, SW m, Jensens NunatakkerHansen, E. S.Hansen ESH-09.478 (C) KF257940
Melaneliaagnata 20096553Greenland, SW m, Jensens NunatakkerHansen, E. S.Hansen ESH-09.435 (C) KF257941
Melaneliaagnata 20076563Greenland, N, Constable BugtHansen, E. S.Hansen ESH-07.464 (C) KF257942
Melaneliaagnata 2002MX_MS2Iceland, ImiHeiðmarsson, S.LA29683 (AMHN) KY508672
Melaneliaagnata 2005MX_MS3Iceland, InoKristinsson, H.LA27562 (AMHN) KY963373
Melaneliaagnata 2008MX_MS4Iceland, IsuHjaltadóttir, A.LA30974 (AMHN) KY508673
Melaneliaagnata 2012MX_MS5Iceland, InoHeiðmarsson, S.LA31859 (AMHN) KY963374
Melaneliaagnata 2014Norway, Sor-TrondelagTimdal, E.O-L-196376 MK812394
Melaneliaculbersonii USALendemer, J.Lendemer 13821 (NY) KR995286
Melaneliahepatizon 2016 83 Poland, Sudety Mts Szczepańska, K. Szczepańska 1051 (WRSL) MZ029723
Melaneliahepatizon 2016 91 Poland, Sudety Mts Szczepańska, K. Szczepańska 1120 (WRSL) MZ029717
Melaneliahepatizon 2016 95 Poland, Sudety Mts Szczepańska, K. Szczepańska 1136A (WRSL) MZ029731
Melaneliahepatizon 2016 96 Poland, Sudety Mts Szczepańska, K. Szczepańska 1136B (WRSL) MZ029732
Melaneliahepatizon 2016 98 Poland, Sudety Mts Szczepańska, K. Szczepańska 1138 (WRSL) MZ029734
Melaneliahepatizon 2016 109 Poland, Karpaty Mts Szczepańska, K. Szczepańska 1153 (WRSL) MZ029741
Melaneliahepatizon 2016 110 Poland, Karpaty Mts Szczepańska, K. Szczepańska 1154A (WRSL) MZ029730
Melaneliahepatizon 2016 111 Poland, Karpaty Mts Szczepańska, K. Szczepańska 1154B (WRSL) MZ029743
Melaneliahepatizon 2016 113 Poland, Karpaty Mts Szczepańska, K. Szczepańska 1144 (WRSL) MZ029745
Melaneliahepatizon 2016 116 Slovakia, Karpaty Mts Szczepańska, K. Szczepańska 1146 (WRSL) MZ029746
Melaneliahepatizon 2016 117 Slovakia, Karpaty Mts Szczepańska, K. Szczepańska 1147 (WRSL) MZ029747
Melaneliahepatizon 2016 119 Poland, Sudety Mts Szczepańska, K. Szczepańska 1180 (WRSL) MZ029748
Melaneliahepatizon 2016 122 Poland, Sudety Mts Szczepańska, K. Szczepańska 1182 (WRSL) MZ029751
Melaneliahepatizon 2018 128 Germany, Bayerischer Wald Szczepańska, K. Szczepańska 1269 (WRSL) MZ029757
Melaneliahepatizon 1996Canada, British ColumbiaThell & Veer BC-9677 (LD) AF141369
Melaneliahepatizon 2001DNA-AT934Italy, Trentino-Alto Adige (south Tirolia)Feuerer T. & Thell A. s. n.LD, HBG AF451776
Melaneliahepatizon SwedenWedin, M.Wedin 6812 (UPS) DQ980016
Melaneliahepatizon Greenland, NWn, SiorapulukHansen, E. S.Hansen ESH-09B.164 (C) KF257943
Melaneliahepatizon Greenland, NWn, QaanaaqHansen, E. S.Hansen ESH-09B.026 (C) KF257944
Melaneliahepatizon Greenland, SEm, TasilaqHansen, E. S.Hansen ESH-10B.014 (C) KF257945
Melaneliahepatizon Greenland, SWm, NuuqHansen, E. S.Hansen ESH-10A.019 (C) KF257946
Melaneliahepatizon Greenland, S, QaqortoqHansen, E. S.Hansen ESH-08.036 (C) KF257947
Melaneliahepatizon Greenland, S, IgalikuHansen, E. S.Hansen ESH-08.170 (C) KF257948
Melaneliahepatizon Greenland, S, NarssarsuagHansen, E. S.Hansen ESH-08.263 (C) KF257949
Melaneliahepatizon Greenland, S, IgalikuHansen, E. S.Hansen ESH-08.215 (C) KF257950
Melaneliahepatizon Greenland, SWm, MidgardHansen, E. S.Hansen ESH-09.386 (C) KF257951
Melaneliahepatizon Greenland, SWm, Frederikshab IsblinkHansen, E. S.Hansen ESH-09.324 (C) KF257952
Melaneliahepatizon Greenland, S, IgalikuHansen, E. S.Hansen ESH-08.477 (C) KF257953
Melaneliahepatizon 2014Norway, FinnmarkWestberg, M.O-L-195864 KY266879
Melaneliahepatizon 2003MH1Iceland, IAuLA30501 (AMHN) KY508674
Melaneliahepatizon 2007MH3Iceland, IVeLA30676 (AMHN) KY508675
Melaneliahepatizon 2007MH4Iceland, IVeLA30674 (AMHN) KY508676
Melaneliahepatizon 2007MH5Iceland, IVeLA30675 (AMHN) KY508677
Melaneliahepatizon 2007MH6Iceland, IVeLA30673 (AMHN) KY508678
Melaneliahepatizon 2014MH9Iceland, INoLA20781 (AMHN) KY508679
Melaneliahepatizon 2013MH10Iceland, INvLA30117 (AMHN) KY508680
Melaneliahepatizon 2012MH11Iceland, InvLA31861 (AMHN) KY963376
Melaneliahepatizon 2014Norway, HordalandTimdal, E.O-L-195807 MK812512
Melaneliahepatizon 2015Norway, Nord-TrondelagBendiksby, M. et al.O-L-201254 MK812070
Melaneliahepatizon 2013Norway, BuskerudRui, S. & Timdal, E.O-L-184723 MK812188
Melaneliastygia 2007 40 Poland, Sudety Mts Kossowska, M. Kossowska 123 (personal herbarium) MZ029710
Melaneliastygia 2009 42 Austria, Tyrol Szczepańska, K. Szczepańska 737 (WRSL) MZ029712
Melaneliastygia 2016 94 Poland, Sudety Mts Szczepańska, K. Szczepańska 1134 (WRSL) MZ029719
Melaneliastygia 2016 104 Poland, Karpaty Mts Szczepańska, K. Szczepańska 1152 (WRSL) MZ029739
Melaneliastygia 2016 108 Poland, Karpaty Mts Szczepańska, K. Szczepańska 1149 (WRSL) MZ029740
Melaneliastygia 2016 112 Poland, Karpaty Mts Szczepańska, K. Szczepańska 1160 (WRSL) MZ029744
Melaneliastygia 2018 127 Czech Republic, Šumava Szczepańska, K. Szczepańska 1265 (WRSL) MZ029756
Melaneliastygia Finland, NylandKuusinen, M.FIN-9714 (LD) AF115763
Melaneliastygia ItalyFeurerer, T & Thell, A.DNA-AT922 (LD) AF451775
Melaneliastygia Finland, EnonkoskiHaikonen, V.Haikonen 20365 AY611097
Melaneliastygia Austria, SteiermarkHafellner, J.Hafellner 51658 AY611121
Melaneliastygia 20086551Greenland, S, QaqortoqHansen, E. S.Hansen ESH-08.036 (C) KF257954
Melaneliastygia 20086569Greenland, S, IgalikuHansen, E. S.Hansen ESH-08.478 (C) KF257955
Melaneliastygia 1998MX_MS1Iceland, IAuKristinsson, H.LA19972 (AMHN) KY508681
Melaneliastygia 2014MX_MS3Iceland, IAuKristinsson, H.LA20775 (AMHN) KY508682
Melaneliastygia 2013MX_MS4Iceland, IAuKristinsson, H.LA16894 (AMHN) KY508683
Melaneliastygia 2000MX_MS2Iceland, IAuKristinsson, H.LA28243 (AMHN) KY963375
Melaneliastygia 2013Norway, BuskerudRui, S. & Timdal, E.O-L-184736 MK812608
Melaneliastygia 2014Norway, Sor-TrondelagTimdal, E.O-L-196377 MK812312
Montaneliadisjuncta 2013 50 Poland, Sudsty Forelands Szczepańska, K. Szczepańska 969 (WRSL) MZ029713
Montaneliadisjuncta 2014 51 Poland, Sudety Mts Szczepańska, K. Szczepańska 989 (WRSL) MZ029714
Montaneliadisjuncta 2015 57 Poland, Sudety Foothills Szczepańska, K. Szczepańska 1023 (WRSL) MZ029715
Montaneliadisjuncta 2015 78 Poland, Sudety Mts Szczepańska, K. Szczepańska 1034 (WRSL) MZ029716
Montaneliadisjuncta 2015 79 Poland, Sudety Mts Szczepańska, K. Szczepańska 1038 (WRSL) MZ029711
Montaneliadisjuncta 2015 80 Poland, Sudety Mts Szczepańska, K. Szczepańska 1039 (WRSL) MZ029720
Montaneliadisjuncta 2016 81 Poland, Sudety Mts Szczepańska, K. Szczepańska 1047 (WRSL) MZ029721
Montaneliadisjuncta 2016 82 Poland, Sudety Mts Szczepańska, K. Szczepańska 1048 (WRSL) MZ029722
Montaneliadisjuncta 2016 85 Poland, Sudety Mts Szczepańska, K. Szczepańska 1054 (WRSL) MZ029724
Montaneliadisjuncta 2016 86 Poland, Sudety Mts Szczepańska, K. Szczepańska 1081 (WRSL) MZ029725
Montaneliadisjuncta 2016 87 Poland, Sudety Mts Szczepańska, K. Szczepańska 1082 (WRSL) MZ029726
Montaneliadisjuncta 2016 88 Poland, Sudety Mts Szczepańska, K. Szczepańska 1110 (WRSL) MZ029727
Montaneliadisjuncta 2016 89 Poland, Sudety Mts Szczepańska, K. Szczepańska 1111 (WRSL) MZ029728
Montaneliadisjuncta 2016 90 Poland, Sudety Mts Szczepańska, K. Szczepańska 1119 (WRSL) MZ029729
Montaneliadisjuncta 2016 92 Pland, Sudety Foothils Szczepańska, K. Szczepańska 1127 (WRSL) MZ029755
Montaneliadisjuncta 2016 93 Pland, Sudety Foothils Szczepańska, K. Szczepańska 1128 (WRSL) MZ029718
Montaneliadisjuncta 2016 120 Poland, Sudety Mts Szczepańska, K. Szczepańska 1181A (WRSL) MZ029749
Montaneliadisjuncta 2016 121 Poland, Sudety Mts Szczepańska, K. Szczepańska 1181B (WRSL) MZ029750
Montaneliadisjuncta 2016 123 Poland, Sudety Mts Szczepańska, K. Szczepańska 1183 (WRSL) MZ029752
Montaneliadisjuncta 2016 125 Poland, Sudety Mts Szczepańska, K. Szczepańska 1185 (WRSL) MZ029754
Montaneliadisjuncta 2016 126 Poland, Sudety Mts Szczepańska, K. Szczepańska 1230 (WRSL) MZ029742
Montaneliadisjuncta 2018 130 Czech Republic, Šumava Szczepańska, K. Szczepańska 1271 (WRSL) MZ029759
Montaneliadisjuncta Austria, SteiermarkMayrhofer 13743 AY611077
Montaneliadisjuncta IndiaMAF-Lich 15512 GU994556
Montaneliadisjuncta United KingdomCoppins 637 JX974654
Montaneliadisjuncta Greenland, NWn, SiorapalukHansen, E. S.Hansen ESH-09B.363 (C) KF257957
Montaneliadisjuncta 3921Canada, Yukon TerritorySpribille, T.Spribille s.n. KP771824
Montaneliadisjuncta 3963Greenland, NorthwestHansen, E. S.Hansen ESH-09B.051 (C) KP771827
Montaneliadisjuncta 3995USA, MaineHarris, R.Harris 52938 (NY) KP771828
Montaneliadisjuncta 4503Norway, TromsoBjerke, J.W.Bjerke WP286-2 (TLE) KP771829
Montaneliadisjuncta 4851Canada, Yukon TerritoryEsslinger, T. L.Esslinger BP94-3 (TLE) KP771830
Montaneliadisjuncta 5970USA, AlaskaEsslinger, T. L.Esslinger 19403 (TLE) KP771831
Montaneliadisjuncta 6575Greenland, Northwest, SiorapalukHansen, E. S.Hansen ESH-09B.323 (C) KP771833
Montaneliadisjuncta MDISJUNCTSweden, Lycksele LappmarkWedin, M.Wedin 7143 (UPS) KP771834
Montaneliadisjuncta MEDI637United Kingdom, ScotlandCoppins, B.Coppins s.n (MAF) KP771835
Montaneliadisjuncta MESO773India, UttaranchalDivakar, P. K.MAF-Lich 15512 KP771837
Montaneliadisjuncta 2014Norway, Finnmark, VadsoHaugan, R.O-L-198675 KY266910
Montaneliadisjuncta 2007MD8Iceland, INoLA30657 (AMHN) KY508686
Montaneliadisjuncta SwedenWedin, M.Wedin 7143 (UPS) DQ980015
Montaneliadisjuncta USALumbsch, H. T.Lumbsch 2010/M7 (F) JX126181
Montaneliadisjuncta USA, MaineHarris 55589 (NY) KF257960
Montaneliadisjuncta USA, AlaskaEsslinger 19403 (TLE) KF257968
Montaneliadisjuncta CanadaGoward 08 JX974658
Montaneliadisjuncta Canada, YukonSpribille s.n. (GZU) KF257956
Montaneliadisjuncta Canada, AlbertaHolzinger 1061 (UBC) KF257962
Montaneliadisjuncta Canada, British ColumbiaEsslinger BP109-1 (TLE) KF257964
Montaneliadisjuncta Canada, British ColumbiaEsslinger BP97-01 (TLE) KF257965
Montaneliadisjuncta Canada, YukonEsslinger BP94-2 (TLE) KF257966
Montaneliadisjuncta Canada, YukonEsslinger BP94-3 (TLE) KF257967
Montaneliadisjuncta Canada, New BrunswickMcMullin 7483 (TLE) KF257969
Montaneliadisjuncta Canada, British ColumbiaGoward 2008 (MAF) KP771836
Montaneliadisjuncta Greenland, S, IgalikuHansen, E. S.Hansen ESH-08.304 (C) KF257958
Montaneliadisjuncta Greenland, NWn, QaanaaqHansen, E. S.Hansen ESH-09B.051 (C) KF257959
Montaneliadisjuncta Greenland, S, IgalikuHansen, E. S.Hansen ESH-08.216 (C) KF257970
Montaneliadisjuncta Greenland, NWn, SiorapulukHansen, E. S.Hansen ESH-09B.323 (C) KF257971
Montaneliadisjuncta 3956Greenland, NorthwestHansen, E. S.Hansen ESH-09B.363 (C) KP771825
Montaneliadisjuncta 3957Greenland, SouthHansen, E. S.Hansen ESH-08.304 (C) KP771826
Montaneliadisjuncta 6574Greenland, South, IgalikuHansen, E. S.Hansen ESH-08.216 (C) KP771832
Montaneliadisjuncta Norway, TromsoBjerke WP286-2 (TLE) KF257961
Montaneliadisjuncta India, Uttar PradeshDivakar 15512 (MAF-Lich) KF257972
Montaneliadisjuncta 2000MD2Iceland, IauLA28245 (AMHN) KY963377
Montaneliadisjuncta 2009MD5Iceland, InoLA31552 (AMHN) KY963378
Montaneliadisjuncta 2007MD3Iceland, InoLA30617 (AMHN) KY508684
Montaneliadisjuncta Canada, British ColumbiaGoward 10-19 (UBC) KF257963
Montaneliadisjuncta 2014Norway, Sor-TrondelagTimdal, E.O-L-196357 MK811711
Montaneliadisjuncta 2014Norway, FinnmarkTimdal, E.O-L-195590 MK811852
Montaneliadisjuncta 2006MD4Iceland, Ino LA27588 KY508685
Montaneliasorediata 2016 100 Poland, Karpaty Mts Szczepańska, K. Szczepańska 1156 (WRSL) MZ029735
Montaneliasorediata 2016 101 Poland, Karpaty Mts Szczepańska, K. Szczepańska 1155 (WRSL) MZ029736
Montaneliasorediata 4001USA, PennsylvaniaLendemer, J.Lendemer 13329 (NY) KF257978
Montaneliasorediata 4824Canada, British ColumbiaEsslinger, T.L.Esslinger BP111-1 (TLE) KF257979
Montaneliasorediata 4884USA, AlaskaEsslinger, T.L.Esslinger BP73-6 (TLE) KF257980
Montaneliasorediata 5981Russia, Khabarovskiy KraiSpribille, T.Spribille 31972 (GZU) KF257981
Montaneliasorediata 6380Canada, OntarioMcMullin, T.McMullin 8139 (TLE) KF257982
Montaneliasorediata B_8600Japan, Mt. OhyamaOhmura, Y.Ohmura 9666 (TNS) KM386101
Montaneliasorediata MESO778Sweden, VasterbottenWedin, M.Wedin 6862 (UPS) KP771845
Montaneliasorediata 4001USA, PennsylvaniaLendemer, J.Lendemer 13329 (NY) KP771846
Montaneliasorediata 5981Russia, Khabarovskiy KraiSpribille, T.Spribille 31972 (GZU) KP771847
Montaneliasorediata 2014Norway, TelemarkTimdal, E.O-L-195791 MK811963
Montaneliasorediata 2014Norway, TromsTimdal, E.O-L-195658 MK811965
Montaneliasorediata 2016Norway, BuskerudDahl, M. S., Kistenich, S. D., Timdal, E., Toreskaas, A. K.O-L-204941 MK811977
Montaneliasorediata C_4670Canada, British ColumbiaBjork, C.Bjork 15153 (UBC) KM386102
. The species and specimens used in the phylogenetic analyses and/or haplotype network analyses, sequences newly generated for this study are in bold.

Morphology and chemistry

The morphology and anatomy of the specimens were studied in detail with dissecting and light microscopes, following routine techniques. All specimens were examined for the assessment of the morphological characters, such as lobe width and morphology (flat/convex), the appearance of the upper surface (dull/glossy), the appearance of the lower surface (light/dark), apothecia morphology (sessile/constricted), appearance and position of pycnidia (marginal/laminal), appearance and position of the pseudocyphellae (marginal/laminal), size and shape of conidia (bacilliform/bifusiform), as well as ascospore size. For light microscopy, vertical sections of apothecia were cut by hand using a razor blade and mounted in water. Hymenium and conidia measurements were made in water and ascospore measurements were made in 10% potassium hydroxide (KOH). At least ten measurements of morphological variables and measurements of 20 spores and conidia were made for each sample and their minimum and maximum values were calculated. The TLC analyses were undertaken in A and C solvent systems using the standardised method of Culberson (1972) and following Orange et al. (2001).

DNA extraction, PCR amplification and DNA sequencing

Genomic DNA was extracted from specimens after cell disruption in a Mixer Mill MM400 (Retsch, Haan, Germany) using a CTAB method according to the standard protocol of isolation (Doyle and Doyle 1987). The quality of the isolated DNA was determined using 1% TBE agarose electrophoresis. PCR reactions were performed in 20 μl reaction tubes that contained a Dream Taq reaction buffer containing MgCl2, a 0.2 mM dNTP mix, 1u DreamTaq DNA polymerase (Thermo Fisher Scientific, Waltham, MA, USA), 0.5 mM each ITS1 and ITS4 primers and 0.8 μl of total genomic DNA. The adequate annealing temperature was determined using the gradient method. The PCR programme consisted of an initial denaturation at 95 °C for 6 min, according to a previous study (Szczepańska et al. 2020), followed by 30 cycles at 95 °C for 30 sec, 51.2 °C for 45 sec, 72 °C for 45 sec, with a final extension at 72 °C for 10 min. While performing PCR, the Veriti Thermal Cycler (Life Technologies, Carlsbad, CA, USA) was used. Amplification products were separated in 1% agarose gel, photographed and compared with the DNA mass ruler (Thermo Fisher Scientific Waltham, MA, USA). Bands corresponding to the ITS region were excised from the agarose gel and then purified by ethanol precipitation. Cleaned samples were sent to a sequencing service (Genomed, Warszawa, Poland). All laboratory analyses were performed at the Department of Botany and Plant Ecology at the Wrocław University of Environmental and Life Sciences.

Sequence alignment and phylogenetic analysis

The newly-generated sequences and selected representatives of brown saxicolous were aligned using the Guidance 2 server (Landan and Graur 2008; Penn et al. 2010; Sela et al. 2015) employing the MAFFT algorithm (Katoh et al. 2002) followed by elimination of terminal ends. The final alignment consisted of 117 sequences of 535 sites. Further, we used Partition Finder 2 (Lanfear et al. 2016) implemented at the CIPRES Science Gateway (Miller et al. 2010). Two different models were found for partitions: GTR+G for ITS1 and ITS2 and K80+G for the 18S and 5.8S regions. Moreover, phylogenetic analysis of all sequences was also performed. Newly-generated sequences and these downloaded from GenBank, together with representatives of , which were further used as an outgroup, were aligned using the Guidance 2 server (Landan and Graur 2008; Penn et al. 2010; Sela et al. 2015) employing the MAFFT algorithm (Katoh et al. 2002) followed by elimination of unreliable columns. The final alignment consisted of 76 sequences of 803 sites. Further, we used jModeltest 2.1 (Darriba et al. 2012) implemented at the CIPRES Science Gateway (Miller et al. 2010) and the K80+G model was selected. Bayesian analysis was carried out using a Markov Chain Monte Carlo (MCMC) method, in MrBayes v. 3.2.6 (Huelsenbeck and Ronquist 2001; Ronquist and Huelsenbeck 2003) on the CIPRES Web Portal (Miller et al. 2010) using best models. Two parallel MCMC runs were performed, each using four independent chains and four million generations, sampling every 1000th tree. Posterior probabilities (PP) were determined by calculating a majority-rule consensus tree after discarding the initial 25% trees of each chain as the burn-in. A Maximum Likelihood (ML) analysis was performed using RAxML-HPC2 v.8.2.10 (Stamatakis 2014) with 1000 ML bootstrap iterations (BS) and the GTRGAMMAI model for both analyses. Phylogenetic trees were visualised using FigTree v. 1.4.2 (Rambaut 2012) and modified in Inkscape (https://inkscape.org/).

Haplotype networks

Newly-generated sequences of the ITS rDNA marker, together with sequences downloaded from GenBank from specimens of , , , , and , were aligned separately for each species using Seaview software (Galtier et al. 1996; Gouy et al. 2010). TCS networks (Clement et al. 2002) were created as implemented in PopART software (http://popart.otago.ac.nz). Nucleotide diversity per site was calculated using DnaSP v.6 software (Rozas et al. 2017).

Results

Phylogeny and haplotype networks

A total of 169 sequences were analysed in this study. The RAxML tree did not contradict the Bayesian trees topologies for the strongly-supported branches and only the latter is shown with posterior probabilities. The bootstrap support values BS ≥ 70 and PP ≥ 0.95 were considered to be significant and are shown near the branches. In Fig. S1, three main, highly supported lineages representing spp. (i.e. , and ), spp. (i.e. and ) and were distinguished. The newly-sequenced specimens clustered together with other representatives of the species downloaded from GenBank. Amongst them, is not monophyletic, but forms two separate well-supported clades. Moreover, to better understand phylogenetic relationships in the , we performed additional analysis for all available ITS rDNA sequences from representatives of this genus. The Bayesian tree is presented in Fig. 1 with posterior probabilities and the bootstrap support values presented near the branches and with as an outgroup. In this tree, also forms two separate, highly-supported clades.
Figure 1.

Phylogenetic relationships of spp., based on Bayesian analysis of the ITS rDNA dataset. Posterior probabilities and Maximum Likelihood bootstrap values are shown near the internal branches. Newly-generated sequences are additionally described with isolate numbers following the species names and are marked in bold. GenBank accession numbers of sequences downloaded from GenBank are listed on the tree with species names.

Phylogenetic relationships of spp., based on Bayesian analysis of the ITS rDNA dataset. Posterior probabilities and Maximum Likelihood bootstrap values are shown near the internal branches. Newly-generated sequences are additionally described with isolate numbers following the species names and are marked in bold. GenBank accession numbers of sequences downloaded from GenBank are listed on the tree with species names. We constructed haplotype networks (Figs 2–7) to assess genetic variability within ITS rDNA marker for each species, including newly-collected specimens and data were downloaded from GenBank. The number of haplotypes found for each taxon ranged from five (in ) to 12 (in and ); however, their numbers seem to be correlated with the abundance of specimens tested, which ranged from 10 (in ) to 67 (in ). Moreover, we also calculated nucleotide diversity for each dataset and found lower values for and (0.00380 and 0.00405, respectively) and higher values for , and (0.01552, 0.01421 and 0.01418, respectively) (Table 2).
Figure 2.

Haplotype network, based on ITS rDNA sequences from specimens of . Newly-generated sequences are described with isolate numbers preceding the species names. Sequences downloaded from GenBank are described with their accession numbers. Mutational changes are presented as numbers in brackets near lines between haplotypes.

Figure 7.

Haplotype network, based on ITS rDNA sequences from specimens of . Newly-generated sequences are described with isolate numbers preceding the species names. Sequences downloaded from GenBank are described with their accession numbers. Mutational changes are presented as numbers in brackets near lines between haplotypes.

Table 2.

List of haplotypes identified in this study and their geographical distribution. Nucleotide diversity for each species is also presented, and the newly generated sequences are in bold.

Haplotypes numberNorth AmericaNorth EuropeCentral EuropeWest EuropeAsiaNucleotide diversity
Cetrariacommixta
1KF257934 GreenlandAF451796 Finland 37 Poland
KF257937 GreenlandKY266843 Norway 97 Poland 0.00405
KF257938 GreenlandKC990132 Sweden 129 Germany
GU994554 Sweden
2 36 Poland
124 Poland
3AF451797 Canada
4KF257939 Greenland
5KF257936 Greenland
6KF257935 Greenland
7GU994555 Spain
Melaneliaagnata
1KY508672 Iceland
KY508673 Iceland0.01552
KY963373 Iceland
KY963374 Iceland
2 102 Poland
103 Poland
3KF257940 Greenland
4KF257941 Greenland
5KF257942 Greenland
6MK257942 Norway
Melaneliahepatizon
1KF257943 GreenlandKY508678 Iceland 98 Poland
KF257944 GreenlandKY508680 Iceland 111 Poland 0.01421
KY508679 Norway 128 Germany
MK812188 Norway
2KF257945 GreenlandKY508675 Iceland 109 Poland
KF257946 GreenlandKY508676 Iceland
KF257947 Greenland
KF257949 Greenland
KF257951 Greenland
3KY508674 Iceland 95 Poland
KY508677 Iceland 110 Poland
KY266879 Iceland
KY266879 Norway
DQ980016 Sweden
4 83 Poland AF451776 Italy
96 Poland
113 Poland
116 Slovakia
119 Poland
122 Poland
5KF257950 Greenland
KF257953 Greenland
6KF257952 Greenland
7KF257948 Greenland
8AF141369 Canada
9KY963376 Iceland
10MK812512 Norway
11 91 Poland
12 117 Slovakia
Melaneliastygia
1AY611097 FinlandAY611121 AustriaAF451775 Italy
MK812608 Norway 40 Poland 0.01418
42 Austria
94 Poland
104 Poland
108 Poland
112 Poland
127 Czech Republic
2KY508681 Island
KY508682 Island
KY508683 Island
KY963375 Island
3KF257954 Greenland
KF257955 Greenland
4AF115763 Finland
5MK812312 Norway
Montaneliadisjuncta
1KF257964 CanadaKY963378 IcelandAY611077 AustriaGU994556 India
KF257967 CanadaKF257961 Norway 50 Poland KF257972 India0.00380
KF257969 CanadaKP771829 Norway 51 Poland KP771837 India
KP771830 CanadaKP771834 Sweden 57 Poland
JX126181 USA 80 Poland
81 Poland
82 Poland
85 Poland
86 Poland
87 Poland
88 Poland
93 Poland
121 Poland
125 Poland
126 Poland
130 Czech Republic
2KF257962 CanadaKY963377 Iceland 90 Poland
KF257965 CanadaKY266910 Norway 120 Poland
KF257966 CanadaDQ980015 Sweden
KP771832 Greenland
KF257958 Greenland
KF257970 Greenland
KP771826 Greenland
3KF257957 GreenlandKY508684 Iceland
KF257971 GreenlandKY508685 Iceland
KP771825 GreenlandKY508686 Iceland
KP771833 Greenland
4- 78 Poland
JX974654 United Kingdom 79 Poland
KP771835 United Kingdom 89 Poland
92 Poland
123 Poland
5KF257956 Canada
KP771824 Canada
6JX974658 Canada
KP771836 Canada
7KF257963 Canada
8KF257959 Greenland
KP771827 Greenland
9KF257968 USA
KP771831 USA
10KF257960 USA
KP771828 USA
11MK811852 Norway
12MK811711 Norway
Montaneliasorediata
1MK811977 Norway 100 Poland
MK811965 Norway0.00830
GU994557 Sweden
KP771845 Sweden
2KF257978 USAKF257981 Russia
KP771846 USAKP771847 Russia
KM386101 Japan
3KF257980 USA 101 Poland
4KM386102 Canada
KF257982 Canada
5KF257979 Canada
6MK811963 Norway
List of haplotypes identified in this study and their geographical distribution. Nucleotide diversity for each species is also presented, and the newly generated sequences are in bold.

Characteristics of the studied species

(Nyl.) Th. Fr. Lichenographia Scandinavica 1:109 (1871) ≡

Description.

is a foliose species with elongated, smooth and flat lobes, 0.25–2.5 mm broad, which are thick on the margins and rounded at the ends (Szczepańska and Kossowska 2017). Its upper surface is glossy, olive-brown to dark brown or almost black. The lower surface is pale brown, but darker in the centre, with single, dark rhizines. possess rounded or slightly elongated pseudocyphellae, which are present only on the margins and edges of lobes and cylindrical, marginal pycnidia, producing hyaline, citriform conidia (3–4 × 1–1.5 µm). Apothecia are marginal, constricted at base, 0.2–7 mm diam., with hyaline, ellipsoid to oblong-ellipsoid ascospores (6–8 × 4–6 μm).

Chemistry.

α-collatolic acid (chemotype I) or no substances (chemotype III).

Distribution.

is a circumpolar and arctic-alpine species (Otte et al. 2005), growing mainly in mountain sites, in open places with high precipitation, on natural acid, siliceous rocks in North America and Europe. Available molecular data concern samples collected in North America (Canada, Greenland), as well as North (Finland, Norway, Sweden) and West (Spain) Europe.

Haplotypes differentiation.

We identified seven different haplotypes (Fig. 2, Table 2) within (n = 17) that differ from each other in one or two positions, except for a single Canadian sample that differs in at least eight positions. The most common haplotype was found in ten specimens occurring in Greenland and North and Central Europe, amongst them being three newly-sequenced specimens (samples 37 and 97 from Poland and sample 129 from Germany). Moreover, two Polish specimens (samples 36 and 124 from the Sudety Mountains) represent a unique haplotype that differs from the most common one in a single position. Five haplotypes identified in our dataset were represented by single specimens originating from Greenland (3 haplotypes), Canada or Spain. Haplotype network, based on ITS rDNA sequences from specimens of . Newly-generated sequences are described with isolate numbers preceding the species names. Sequences downloaded from GenBank are described with their accession numbers. Mutational changes are presented as numbers in brackets near lines between haplotypes. (Nyl.) A. Thell Nova Hedwigia 60:416 (1995) ≡ has foliose thallus with flat, smooth, 0.25–2 mm broad lobes which are thicker on the margins and rounded at the ends (Szczepańska and Kossowska 2017). The upper surface is glossy, olive-brown to dark brown. The lower surface is pale brown to dark brown in the centre, with single, dark rhizines. possess pseudocyphellae which are larger on the lobe margins and smaller, punctiform on the upper surface of the lobes. Pycnidia are mainly marginal to laminal, partially immersed and globose with hyaline bacilliform conidia (4.5–5.5 × 1 µm). Apothecia are not seen in examined material. No secondary metabolites were detected by TLC. is a rare taxon occurring in arctic and boreal regions in North America and Europe, growing in open stands on siliceous and basalt rocks (Otte et al. 2005). Available molecular data concern samples collected only in North America (Greenland) and North Europe (Iceland, Norway). Six different haplotypes were identified in (n = 10), of which two Polish specimens, collected in the Karpaty Mountains, have the same, not previously known, haplotype (Fig. 3, Table 2). It differs from other haplotypes in at least seven positions. However, the remaining specimens originate from Greenland, Iceland or Norway and no other samples from Central Europe have been sequenced until now. Four Icelandic specimens have the same haplotype, which is similar to the haplotype from Norwegian specimens. In contrast, Icelandic haplotypes differ from Greenlandic haplotypes in at least eight positions. Whether their genetic diversity supports conclusions from previous papers suggesting potentially unrecognised species lineages in the genus (Leavitt et al. 2014; Xu et al. 2017) remains unresolved and should be further studied.
Figure 3.

Haplotype network, based on ITS rDNA sequences from specimens of . Newly-generated sequences are described with isolate numbers preceding the species names. Sequences downloaded from GenBank are described with their accession numbers. Mutational changes are presented as numbers in brackets near lines between haplotypes.

Haplotype network, based on ITS rDNA sequences from specimens of . Newly-generated sequences are described with isolate numbers preceding the species names. Sequences downloaded from GenBank are described with their accession numbers. Mutational changes are presented as numbers in brackets near lines between haplotypes. (Ach.) A. Thell Nova Hedwigia 60:419 (1995) ≡ is foliose species with flat lobes that are 0.25–2.5 mm broad and thick at the margins (Szczepańska and Kossowska 2017). Its upper surface is glossy, brown to almost black. The lower surface is dark brown to black, paler near the margins, with single, dark rhizines. Pseudocyphellae are mainly present on the margins and edges of lobes. Pycnidia are marginal, but sometimes also laminal, sessile, globose to stalked, slightly elongated or cylindrical with hyaline, bacilliform conidia (3–5 × 1 µm). Apothecia are marginal to laminal, sessile, with hyaline, ellipsoid to oblong-ellipsoid ascospores (6–8 × 4–6 μm). Stictic and norstictic acids. is a circumpolar and arctic-alpine species occurring from oceanic to continental sites on siliceous rocks in North America and Europe (Otte et al. 2005). Available molecular data concern samples collected in North America (Canada, Greenland) as well as North (Iceland, Norway, Sweden) and West (Italy) Europe. A higher number of haplotypes was detected in (n = 40), in which we identified 12 haplotypes (Fig. 4, Table 2). Amongst newly-sequenced specimens, we identified six haplotypes. Some are more common and were previously found in Greenland, Iceland, Italy, Norway or Sweden. In contrast, others were only found in newly-sequenced specimens, such as sample 91 from the Sudety Mountains in Poland and sample 117 from the Karpaty Mountains in Slovakia. However, no geographic pattern was found in the dataset.
Figure 4.

Haplotype network, based on ITS rDNA sequences from specimens of . Newly-generated sequences are described with isolate numbers preceding the species names. Sequences downloaded from GenBank are described with their accession numbers. Mutational changes are presented as numbers in brackets near lines between haplotypes.

Haplotype network, based on ITS rDNA sequences from specimens of . Newly-generated sequences are described with isolate numbers preceding the species names. Sequences downloaded from GenBank are described with their accession numbers. Mutational changes are presented as numbers in brackets near lines between haplotypes. (L.) Essl. Mycotaxon 7:47 (1978) ≡ has foliose thallus, composed of 0.25–1.5 mm broad, smooth and usually distinctly convex lobes (Szczepańska and Kossowska 2017). The upper surface is glossy, dark brown to almost black. The lower surface is dark brown to black, paler near the margins, with single, dark rhizines. Pseudocyphellae in this species are numerous, rounded or slightly elongated and laminal – clearly visible on the upper surface of the lobes. Pycnidia are also common, globose, laminal and immersed with hyaline, bacilliform conidia (3.5–5 × 1 µm). Apothecia are laminal, constricted at the base and 0.5–6 mm in diameter. Ascospores are hyaline, ellipsoid to oblong-ellipsoid, 6–8 × 4–6 μm in size. Protocetraric and fumarprotocetraric acids (Race 1) or no substances detected (Race 6). is a circumpolar and arctic-alpine species occurring mainly on siliceous rocks in upper mountain areas in North America and Europe (Otte et al. 2005). Available molecular data concern only a few samples collected in North America (Greenland) and North (Iceland, Finland, Norway) and West (Italy) Europe. Amongst five identified haplotypes in (n = 19), all newly-sequenced specimens (five from Poland, one from Austria and one from the Czech Republic) have the same haplotype, previously reported from Austria, Finland, Italy and Norway (Fig. 5, Table 2). It differs from the haplotype identified in another Finnish specimen in two positions. Two Greenlandic specimens have the same haplotype that differs from the most common one in five positions. Four Icelandic samples have an identical haplotype that differs from the Norwegian sample in five positions; however, these samples differ in at least 13 positions from other haplotypes of . Moreover, these Icelandic and one Norwegian samples form a separate clade shown in Fig. 1, in contrast to the remaining specimens of . These molecular data suggest that these lineages may represent phenotypically indistinguishable cryptic species.
Figure 5.

Haplotype network, based on ITS rDNA sequences from specimens of . Newly-generated sequences are described with isolate numbers preceding the species names. Sequences downloaded from GenBank are described with their accession numbers. Mutational changes are presented as numbers in brackets near lines between haplotypes.

Haplotype network, based on ITS rDNA sequences from specimens of . Newly-generated sequences are described with isolate numbers preceding the species names. Sequences downloaded from GenBank are described with their accession numbers. Mutational changes are presented as numbers in brackets near lines between haplotypes. (Erichsen) Divakar, A. Crespo, Wedin & Essl. American Journal of Botany 99:2022 (2012) ≡ possess foliose thallus composed of 0.6–1.2 mm broad, flat to slightly convex and glossy lobes (Szczepańska et al. 2015). Its upper surface is smooth, olive-brown to dark brown. Pseudocyphellae are small, rather indistinct and submarginal. Its characteristic feature is the presence of the soralia (0.2–0.5 mm in diameter), which are punctiform, irregular, usually capitate and arise on the surface or at the margins of the lobes. Soredia are granular to isidioid, dark, but appearing white when abraded. Pycnidia are rare, conidia are 6–7 × 1 μm. Apothecia are not seen in the examined material. Perlatolic and stenosporic acids. is a circumpolar species growing mainly on siliceous rocks. The geographical range of this species consists of both continental and oceanic areas of Europe and North America (Esslinger 1977; Otte et al. 2005; Hansen 2013). Available molecular data concern samples collected in North America (Canada, Greenland, USA), North (Iceland, Norway, Sweden, United Kingdom) and Central (Austria) Europe, as well as Asia (India). Twelve different haplotypes were identified in (n = 67), of which the most common haplotype occurs in Europe, North America and Asia (Fig. 6, Table 2). The highest diversity was observed in North America (Canada, Greenland, USA), for which a total of nine different haplotypes were found, including six that were exclusive for this region. We identified three different haplotypes amongst the newly-collected samples (n = 22). The most common one also occurs in other European countries, Asia and North America. The second most common also occurs in Northern Europe and North America, while the third haplotype was previously identified in specimens collected in the United Kingdom. Moreover, four different haplotypes were identified amongst specimens collected in Norway, while five haplotypes were identified in Canadian samples, of which three are unique to Canada. Three haplotypes were identified in samples from both Iceland and Greenland, two of which are common for these areas and one haplotype is unique to Greenland. Some haplotypes are represented by more than one sample originating from particular areas, such as Alaska and Maine (USA), the Yukon Territory (Canada) or Greenland. The haplotypes identified in our dataset originated from different geographical areas and two of the most common haplotypes are widely distributed in the Northern Hemisphere. Based on the presented sampling, we could not indicate any geographical pattern, neither locally nor worldwide.
Figure 6.

Haplotype network, based on ITS rDNA sequences from specimens of . Newly-generated sequences are described with isolate numbers preceding the species names. Sequences downloaded from GenBank are described with their accession numbers. Mutational changes are presented as numbers in brackets near lines between haplotypes.

Haplotype network, based on ITS rDNA sequences from specimens of . Newly-generated sequences are described with isolate numbers preceding the species names. Sequences downloaded from GenBank are described with their accession numbers. Mutational changes are presented as numbers in brackets near lines between haplotypes. (Ach.) Divakar, A. Crespo, Wedin & Essl. American Journal of Botany 99:2023 (2012) ≡ is a foliose species. Its lobes are flat to slightly convex, 0.2–0.6 mm broad, distinctly rugged and pitted at the ends (Szczepańska et al. 2017). The upper surface is smooth, dull, olive brown to dark brown. Characteristic soralia arise on the ends of the main lobes or on the smaller, erect side lobes. They are usually distinctly convex and capitate with granular to isidioid, dark soredia. Pseudocyphellae and pycnidia are absent. Apothecia are not seen in the examined material. Perlatolic and stenosporic acids. is a probably circumpolar species that prefers siliceous substrates, usually in open and well-lit places. The species is mentioned as occurring in North America and Europe (Esslinger 1977; Otte et al. 2005). Available molecular data concern only a few samples collected in North America (Canada, USA), North Europe (Norway, Sweden) and Asia (India). Six different haplotypes were identified in (n = 16), of which two Polish specimens, collected in the Karpaty Mountains, have two different haplotypes that differ in a single position (Fig. 7, Table 2). Interestingly, sample 101 has the same haplotype as the specimen collected in Alaska (KF257980), while sample 100 has the same haplotype as four Scandinavian specimens collected in Norway and Sweden. Another of the most common haplotypes is represented by specimens collected in Japan, Russia and the USA. Therefore, no specific geographic pattern was observed in the dataset. Haplotype network, based on ITS rDNA sequences from specimens of . Newly-generated sequences are described with isolate numbers preceding the species names. Sequences downloaded from GenBank are described with their accession numbers. Mutational changes are presented as numbers in brackets near lines between haplotypes.

Discussion

Although several studies focused on the phylogeny of brown , in the analysed datasets, there was an evident lack of molecular data concerning this group from Central Europe. The available data included only North America (mainly Greenland), Northern Europe (Scandinavian countries) and single sequences from specimens collected in Western Europe (Spain, Italy) and Asia (India, Russia). Having the opportunity to collect data from Poland, we focused on taxa occurring in this country, such as , , , , and . Additionally, in analyses, we also included newly-generated sequences from samples collected in Austria, Czech Republic, Germany and Slovakia. By supplementing the dataset with new sequences from a previously-unexplored area, we wanted to study the intraspecific internal transcribed spacer (ITS) rDNA variability of mentioned species and analyse distribution patterns of individual haplotypes. Previously, Leavitt et al. (2014) reported mean genetic distance (given as the number of nucleotide substitutions per site) in brown and found higher values in the case of and (0.013) in contrast to and (0.002 and 0.007, respectively). In this study, we found the highest nucleotide diversity in and (0.01552 and 0.01421, respectively), but also in (0.01418) as a result of additional sampling. In our study, the haplotype networks illustrated that single-locus haplotypes and clades have no geographic clustering and cannot be useful in defining the species boundaries within brown . Haplotypes are dispersed amongst the sites and clades do not show apparent association with spatial location, as reported in literature data (Werth and Sork 2008; Starosta and Svoboda 2020). In addition, many of the analysed haplotypes of brown are widely distributed and, in many cases, the same haplotypes are shared between temperate and polar populations. What is more, all taxa, except , seem to be monophyletic and newly-sequenced specimens cluster together with other representatives of the species downloaded from GenBank. The extremely wide geographical distribution of mycobiont haplotypes has been observed in some other species, such as (Printzen et al. 2003), (Fernández-Mendoza et al. 2011) and (Printzen and Ekman 2003). In the first two cases, this phenomenon is assigned to lichens characterised by vegetative propagation and interpreted as evidence for ancestral polymorphisms and slow genetic drift (Printzen et al. 2003). This finding conforms well with the results of our study on , which are usually sterile species, reproducing by soredia () and conidia (, ). Although representatives of brown are known from both Hemispheres (Otte et al. 2005), all species studied in this paper represent circumpolar distribution and occur only on northern continents. The specimens used for the analyses originated mainly from mountain areas of Poland, both the Carpathians and the Sudetes; however, the range of sampling seems to be representative for this part of Europe. The number of analysed haplotypes representing different geographical regions was comparable for each taxon; nevertheless, the number of and samples remain very small. Due to the newly-generated molecular data covering Central Europe, we were able to compare the haplotype distribution in this area with other parts of the world. Unfortunately, the data available for discussed lichens taxa include, almost exclusively, specimens from North America and Northern Europe; the data concerning Asia and Southern Europe are not sufficient to make a reliable comparison possible. In almost all analysed taxa, stronger genetic differentiation was found amongst North American populations, with a few haplotypes unique for this part of the world, especially for Greenland. Specimens occurring in Central Europe have lower haplotype diversification and many of these haplotypes have wide geographical distribution (Table 2). Nevertheless, it seems that the number of analysed sequences is still insufficient to indicate high diversity areas (hotspots), species speciation centres or glacial refugia. Although the numbers of haplotypes correlated with the number of specimens tested, two species occurring in Poland ( and ) clearly indicate a very low level of genetic diversity. Both species are rare in Poland and their distribution is limited to the high mountain regions (Szczepańska and Kossowska 2017). Low genetic diversity and limited occurrence suggest considering both taxa as critically endangered in Poland. In recent years, it has been proved that cryptic species-level lineages are very common amongst lichen-forming fungi (Crespo and Pérez-Ortega 2009; Crespo and Lumbsch 2010; Lumbsch and Leavitt 2011). At the same time, it has been shown that phenotypic variation is not always ‘sensitive’ enough for delimitation and description of new taxa. Modern methods of genetic analysis are recommended as an additional tool for this purpose (Molina et al. 2011; de Paz et al. 2012; Leavitt et al. 2013; Renner 2016). At the same time, it is necessary to include other evidence, such as chemistry, ecology, geography and morphology, for the proper delimitation of lichenised fungi species (Hawksworth 1976; Dayrat 2005; Crespo and Pérez-Ortega 2009). Such careful and versatile analysis of distinct phylogenetic lineages may lead to recognising some previously-overlooked characteristics (Kroken and Taylor 2001; del Prado et al. 2007; Frolov et al. 2016; Leavitt et al. 2016; Szczepańska et al. 2020). In the recent review paper, Lücking et al. (2021) proposed a detailed protocol for consistent taxonomy of lichen-forming fungi. The integrative taxonomy employing phylogeny, reproductive biology and phenotype should be used to delimit species (Lücking et al. 2020). Aime et al. (2021) recommended circumscription of new taxa, based on an appropriate sampling of multiple representatives from different collections for which multi-loci analyses should be performed. They also noted that description of a new species, based on single-locus phylogenetic analyses, could only be done in exceptional cases. The errors caused by contaminant sequences, laboratory mix-ups and chimeric sequences should be avoided for proper establishment of novel taxa, based on molecular data only (Lücking et al. 2021). Therefore, it is crucial to employ unlinked loci from different parts of the genome, even though the ITS rDNA marker is widely used in DNA barcoding of fungal taxa. We analysed phenotypic diversity of samples representing individual haplotypes in our studies. However, in morphological, anatomical and chemical analyses, we observed that phenotypic characters of individuals representing different haplotypes are homogeneous and no visible distinctive features for samples with different geographic distribution were recognised. Recent molecular studies of one of the analysed genus – , suggested previously unrecognised species-level diversity within this taxon (Divakar et al. 2012; Leavitt et al. 2014; Xu et al. 2017). However, the authors based their assumptions primarily on phylogenetic analyses without considering phenotypic features. Therefore, we have decided to analyse differences in morphology, anatomy and chemistry of and specimens originating from different geographic regions (Greenland, Iceland and Central Europe). is a rare lichen recorded in North America and some European countries, such as Austria, Iceland, Norway, Poland, Russia, Sweden, Switzerland and Slovakia (Westberg et al. 2004; Hawksworth et al. 2008; Szczepańska and Kossowska 2017). The analysed holotype of is characterised by small (ca. 3.0 cm in diam.), foliose, olive-brown to dark-brown thallus, composed of flat, shiny, 0.25–2 mm broad, smooth lobes with thicker margins (Fig. 8A). Its lower surface is pale brown with single, dark rhizines. Polish (Figs 8G and H) and Greenlandic (Fig. 8E and F) specimens comply with the type. However, Icelandic material differs in a larger thallus size (up to 10 cm in diam.) and the appearance of the lobes, which are more convex than flat, 1–5 mm broad and distinctly wrinkled (Fig. 8C). Thell (1995) made an interesting taxonomic description of , in which he noted that its thallus could reach up to 10 cm diam. However, in his research, Thell (1995) analysed only a few specimens, including one from Iceland (Kristinsson 14781, GZU, LD) and treated them all as a single taxon. A similar situation applies to conidia, reaching 5–7.5 µm in , according to Thell (1995). Pycnidia observed in Icelandic specimens are usually marginal (Fig. 8D), very often double and produce bifusiform conidia, 4.5–6 × 1 µm, in contrast to the type specimen, which pycnidia are simple, marginal to laminal (Fig. 8B) with smaller conidia, at 3.5–5 × 1 µm. Pseudocyphellae are always whitish, rounded or irregular, marginal and laminal in all analysed material; they are much more abundant in specimens from Iceland (Fig. 8D). None of the Icelandic specimens had apothecia, so their anatomical analysis was impossible. All material was chemically homogeneous and no secondary metabolites were detected by thin-layer chromatography (TLC), which is consistent with other descriptions (Thell 1995; Xu et al. 2017).
Figure 8.

specimens treated A H-NYL 36086 (holotype) B, H-NYL 36086 (holotype) C, AMNH 27562 (Iceland) D, AMNH 30974 (Iceland) E, C 19019 (Greenland) F, C 19019 (Greenland) G, Szczepańska 1050, WRSL (Poland) H, Szczepańska 1050, WRSL (Poland). Scale bars: 0.5 cm (A, C, E, G); 0.5 mm (B, D, F); 1 mm (H).

specimens treated A H-NYL 36086 (holotype) B, H-NYL 36086 (holotype) C, AMNH 27562 (Iceland) D, AMNH 30974 (Iceland) E, C 19019 (Greenland) F, C 19019 (Greenland) G, Szczepańska 1050, WRSL (Poland) H, Szczepańska 1050, WRSL (Poland). Scale bars: 0.5 cm (A, C, E, G); 0.5 mm (B, D, F); 1 mm (H). is a much more common species than . In Europe, it was recorded in the upper mountain areas of Austria, the Czech Republic, Germany, Great Britain, Poland, Romania, Russia, Slovakia, Switzerland and Ukraine (Hawksworth et al. 2008). After phenotypic studies, we have concluded that all material is homogeneous and none of the analysed morphological and anatomical features coincides with geographically-distinct populations (Fig. 9A–F). However, some differences may be observed in the secondary chemistry. In his paper, Esslinger (1977) recognised six chemical races within . He stated that some of them are broadly distributed and others are more frequent in particular regions. All the currently-examined samples originating from Greenland and Central Europe belong to Race 1, containing fumaroprotocetraric and protocetraric acids. Specimens from Iceland represent Race 6, without secondary metabolites. Both races are known to occur in Japan, North America and Europe; however, there is a possibility that Race 6 is the only chemical Race occurring in Iceland. Production of some secondary metabolites may be induced by environmental factors (Culberson 1986; Leavitt et al. 2011) and does not always correspond with molecular data. Moreover, chemical differences can be observed within some recognised haplotype groups and even in the same haplotype (Matteucci et al. 2017). At the same time, chemical characters may be successfully used to support delimitation of lichen taxa, but in any case, they cannot be treated as an exclusive diagnostic trait (Elix et al. 2009; Spribille et al. 2011; Leavitt et al. 2013; Onut-Brännström et al. 2018; Mark et al. 2019,).
Figure 9.

specimens treated A, AMNH 28243 (Iceland) B, AMNH 16894 (Iceland) C, C 19893 (Greenland) D, C 19893 (Greenland) E, Szczepańska 1160, WRSL (Poland) F, Szczepańska 737, WRSL (Austria). Scale bars: 0.5 cm (A, C, E);1 mm (B, D); 0.5 mm (F).

specimens treated A, AMNH 28243 (Iceland) B, AMNH 16894 (Iceland) C, C 19893 (Greenland) D, C 19893 (Greenland) E, Szczepańska 1160, WRSL (Poland) F, Szczepańska 737, WRSL (Austria). Scale bars: 0.5 cm (A, C, E);1 mm (B, D); 0.5 mm (F). In conclusion, we can state that all of the potential species lineages within and are cryptic, with very slight morphological, anatomical and chemical variation. We were unable to distinguish any distinctive feature that could be considered diagnostic and useful for the delimitation of new species, except molecular variation. The phenotypic differences mentioned above may reflect environmental or climate conditions, such as temperature, light, humidity or substrate and may not be connected with genetic differences. However, this study was limited to a small number of samples and one genetic marker, ITS; therefore, we refrain from describing new species because further study is pending. We suggest that an extended phylogeographic study is necessary and an increase in the number of herbarium specimens would probably give additional information. Even though our analyses complement the knowledge on lichens in Central Europe, many areas remain insufficiently explored. Additional sampling from Asia and Southern Europe may bring new data on the phylogenetic and phenotypic diversity of species from the brown group.
  36 in total

1.  Local genetic structure in a North American epiphytic lichen, Ramalina menziesii (Ramalinaceae).

Authors:  Silke Werth; Victoria L Sork
Journal:  Am J Bot       Date:  2008-05       Impact factor: 3.844

2.  MrBayes 3: Bayesian phylogenetic inference under mixed models.

Authors:  Fredrik Ronquist; John P Huelsenbeck
Journal:  Bioinformatics       Date:  2003-08-12       Impact factor: 6.937

3.  Melanelixia and Melanohalea, two new genera segregated from Melanelia (Parmeliaceae) based on molecular and morphological data.

Authors:  Oscar Blanco; Ana Crespo; Pradeep K Divakar; Theodore L Esslinger; David L Hawksworth; H Thorsten Lumbsch
Journal:  Mycol Res       Date:  2004-08

4.  SEAVIEW and PHYLO_WIN: two graphic tools for sequence alignment and molecular phylogeny.

Authors:  N Galtier; M Gouy; C Gautier
Journal:  Comput Appl Biosci       Date:  1996-12

5.  PartitionFinder 2: New Methods for Selecting Partitioned Models of Evolution for Molecular and Morphological Phylogenetic Analyses.

Authors:  Robert Lanfear; Paul B Frandsen; April M Wright; Tereza Senfeld; Brett Calcott
Journal:  Mol Biol Evol       Date:  2017-03-01       Impact factor: 16.240

6.  Hidden diversity before our eyes: Delimiting and describing cryptic lichen-forming fungal species in camouflage lichens (Parmeliaceae, Ascomycota).

Authors:  Steven D Leavitt; Theodore L Esslinger; Pradeep K Divakar; Ana Crespo; H Thorsten Lumbsch
Journal:  Fungal Biol       Date:  2016-11

7.  A phylogenetic analysis of the boreal lichen Mycoblastus sanguinarius (Mycoblastaceae, lichenized Ascomycota) reveals cryptic clades correlated with fatty acid profiles.

Authors:  Toby Spribille; Barbara Klug; Helmut Mayrhofer
Journal:  Mol Phylogenet Evol       Date:  2011-03-30       Impact factor: 4.286

8.  Cryptic species in lichen-forming fungi.

Authors:  Ana Crespo; H Thorsten Lumbsch
Journal:  IMA Fungus       Date:  2010-11-23       Impact factor: 3.515

9.  RAxML version 8: a tool for phylogenetic analysis and post-analysis of large phylogenies.

Authors:  Alexandros Stamatakis
Journal:  Bioinformatics       Date:  2014-01-21       Impact factor: 6.937

10.  How to publish a new fungal species, or name, version 3.0.

Authors:  M Catherine Aime; Andrew N Miller; Takayuki Aoki; Konstanze Bensch; Lei Cai; Pedro W Crous; David L Hawksworth; Kevin D Hyde; Paul M Kirk; Robert Lücking; Tom W May; Elaine Malosso; Scott A Redhead; Amy Y Rossman; Marc Stadler; Marco Thines; Andrey M Yurkov; Ning Zhang; Conrad L Schoch
Journal:  IMA Fungus       Date:  2021-05-03       Impact factor: 3.515

View more
  1 in total

1.  New taxonomic framework for Arthrodermataceae: a comprehensive analysis based on their phylogenetic reconstruction, divergence time estimation, phylogenetic split network, and phylogeography.

Authors:  Zhi-Yuan Zhang; Yu-Lian Ren; Xin Li; Wan-Hao Chen; Jian-Dong Liang; Yan-Feng Han; Zong-Qi Liang
Journal:  Antonie Van Leeuwenhoek       Date:  2022-08-26       Impact factor: 2.158

  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.