Literature DB >> 20012655

Ectomycorrhizal fungi associated with two species of Kobresia in an alpine meadow in the eastern Himalaya.

Qian Gao1, Zhu L Yang.   

Abstract

The diversity of ectomycorrhizal fungi (EMF) on Kobresia filicina and Kobresia capillifolia in an alpine meadow in China's southwestern mountains, one of the word's hotspots of biodiversity, was estimated based on internal transcribed spacer rDNA sequence analysis of root tips. Seventy EMF operational taxonomical units (OTUs) were found in the two plant species. Dauciform roots with EMF were detected in species of Kobresia for the first time. OTU richness of EMF was high in Tomentella/Thelophora and Inocybe, followed by Cortinarius, Sebacina, the Cenococcum geophilum complex, and Russula. Tomentella/Thelophora and Inocybe were general and dominant mycobiont genera of the two sedges. Besides the C. geophilum complex, the ascomycete components Hymenoscyphus and Lachnum were also detected on the two plants. Alpine plants in different geographical regions share similar main genera and/or families of EMF while harboring predominantly different mycobiont species; most of the members detected by us have not been found elsewhere. Significant differences in the profile of EMF occurrences were not found between the two plant species and among the three sampling seasons in our sample size.

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Year:  2009        PMID: 20012655      PMCID: PMC2845889          DOI: 10.1007/s00572-009-0287-5

Source DB:  PubMed          Journal:  Mycorrhiza        ISSN: 0940-6360            Impact factor:   3.387


Introduction

Mycorrhizae are likely to be of importance in nutrient-stressed or infertile environments, such as alpine areas. Forming ectomycorrhizal (EM) associations is one of the most ecologically important symbiotic associations in terrestrial ecosystems (Smith and Read 1997; Cairney and Chambers 1999; Rinaldi et al. 2008) and is believed to be a crucial and effective way of alleviating nutritional stress for both plants and fungi in alpine areas. EM are common on alpine woody plants (Wang and Qiu 2006) and have also been detected on several alpine/arctic grasses (Wang and Qiu 2006; Moreau et al. 2006; Li and Guan 2007). Grasses in the Cyperaceae (the sedge family) are common in stressed habitats like alpine/arctic areas. Recent studies have revealed that many species in the Cyperaceae are mycorrhizal (Muthukumar et al. 2004). Ectomycorrhizal (EM) and/or ectomycorrhizal fungi (EMF) communities on Kobresia myosuroides (Villars) Foiri [=K. bellardii (All.) Degel] were reported or characterized in many works (Fontana 1963; Haselwandter and Read 1980; Read and Haselwandter 1981; Kohn and Stasovski 1990; Gardes and Dahlberg 1996; Massicotte et al. 1998; Lipson et al. 1999; Schadt and Schmidt 2001; Ali and Hossein 2008; Mühlmann and Peintner 2008b). In addition, many more common sedge species in nutrient-poor environments have been found to form “dauciform roots,” which are specialized structures produced as morphological and physiological adaptations of plants to nutrient adversities and may have a similar function in mycorrhizae in nutrient acquisition (Shane et al. 2006). Kobresia filicina (C. B. Clarke) C. B. Clarke and Kobresia capillifolia (Decne.) C. B. Clarke, together with other grasses of Potentilla and Polygonum, are dominant plant species in the easternmost Himalaya and in the mountains of southwest China (Wu and Zhu 1987; Zhou 2001), one of the world’s hotspots of biodiversity. Forming mycorrhizal associations may be one of their important means for alleviating nutritional stress in alpine environments. Nothing, however, is known about the EMF status of plants in the region. In addition, it is intriguing to determine whether dauciform roots occur on species of Kobresia that grow there and whether they form EM. The objectives of this work were (1) to identify diversity of EMF on the two species of Kobresia in an alpine meadow in the region and (2) to determine whether dauciform roots occur on species of Kobresia and whether they form EM to survive the alpine stress.

Materials and methods

Sampling and sample processing

The sampling site was an alpine meadow (altitude, 4,300 m) on Hong Shan (27°50′N, 99°24′ E), Shangri-La County (Zhongdian) in Yunnan Province, southwest China. Sampling of K. filicina and K. capillifolia was performed in mid-May (spring), late July (summer), and early September (autumn) 2007. Samples were randomly collected within a 50 × 50-m2 square 5–6 m away from each other. Plants (including their roots and aboveground parts) and surrounding soil were excavated, resulting in plots measuring about 30 × 20 × 20 (length, width, and depth) cm each. Ten samples were made for each plant species on each sampling date, resulting in 60 samples in total. The occasionally occurring sporocarps around or near the sampling plots were collected to obtain reference sequences for identification of the EMF. Ectomycorrhizal root tips were examined at ×3 magnification under a dissecting microscope and macroscopically sorted into morphotypes based on color, mantle surface, ramification pattern, and occurrence of emanating hyphae (Agerer 2006). Dauciform roots were examined and sorted by color. At least 10–20 root tips of an individual morphotype were stored in saturated NaCl/CTAB solution at −20°C until used in molecular investigations.

PCR and sequence analyses of the ITS rDNA region

DNA was extracted from root tips following the procedures of Hibbett and Vilgalys (1993) with several modifications. Primer combinations of ITS1F × ITS4 (Gardes and Bruns 1993), ITS5 × ITS4, and ITS1F × LR1 were used to amplify the rDNA internal transcribed spacer (ITS) region. PCR products were sequenced after cloning. After blast searching against GenBank and UNITE databases, sequences were sorted into operational taxonomical units (OTUs), which were defined as sequences with at least 97% similarity and regarded as belonging to one species (Mühlmann et al. 2008; Mühlmann and Peintner 2008a, b). Our ITS rDNA sequences are deposited in GenBank as accession numbers FJ581421, FJ581422, and FJ378717–FJ378866.

Statistical analyses

Frequency of an EMF OTU was defined as the number of samples from which the OTU was detected. Chi-square test was performed with SAS software (The SAS system for Windows 9.0), with frequency of OTUs used as the dependent variable, “plant species” and “season” as independent variables, respectively. The significance level was set as 0.05. Diversity measures per sample included diversity index (H) of Shannon and Wiener (1949), species richness index (R) of Margalef (1958), and evenness index (E) of Pielou (1969). Kruskal–Wallis test was performed, with average Shannon and Wiener’s diversity index per sample used as the dependent variable, “plant species” and “season” as independent variables, respectively, and the significance level was set as 0.05.

Results

EMF diversity of the two plants

Eight ectomycorrhizal morphotypes were found on the two species of Kobresia. Sixty seven EMF OTUs were obtained from their ectomycorrhizal root tips and 11 from the dauciform roots (eight of them were also found on ectomycorrhizal root tips; Table 1). Total OTU richness of EMF (including both plant species and three seasons) was 70. Most (59) were basidiomycetes, and 11 were ascomycetes. OTU richness was high in Tomentella/Thelophora (16) and Inocybe (15), followed by Cortinarius (seven), Sebacina (seven), the Cenococcum geophilum complex (seven), and Russula (five) (Supplementary Figs. 1–4) while low in Lachnum (two), Hymenoscyphus (two), Amanita (two), Laccaria (two), Lactarius (two), Hebeloma (one), and Boletus (one). Seventy percent of the total OTUs (49 OTUs) were detected only once, and several OTUs closely matched EMF in Europe (Table 1). It should be noted that the EMF of Boletus reticuloceps and Lactarius 01 was identified based on its high similarity to the sporocarps of B. reticuloceps (FJ548566) and Lactarius subsphagneti (FJ378814), respectively (Table 1).
Table 1

Mycobionts on K. filicina and K. capillifolia

EMF OTUsFrequencyClosest match and accession number
By plantBy seasonIn GenBankIn UNITE database
KcKfMayJulySeptember
Amanita 0110010 A. velosa (92%) DQ974692 Amanita sp. (1,061 bits) UDB000929
Amanita 0201010 A. vaginata (91%) AJ889925 A. mortenii (757 bits) UDB002235
Boletus reticuloceps 02020 B. reticuloceps (100%) FJ548566
Sebacina 0110010 Sebacina sp. (416 bits) UDB000774
Sebacina 0210100 Sebacina EM (83%) AB218165
Sebacina 0331301 Sebacina EM (97%) AF440652 Sebacina sp. (660 bits) UDB000774
Sebacina 0401100 Sebacina EM (98%) AF440648 Sebacina sp. (789 bits) UDB000773
Sebacina 0511002 Sebacina EM (97%) AF440648 Sebacina sp. (765 bits) UDB000773
Sebacina 06 01001 Sebacina sp. (95%) EF433975
Sebacina 0710010 Sebacina EM (96%) AY940653
Cortinarius 0110001 C. psammocephalus (95%) AY669672
Cortinarius 0201010 Cortinarius EM (98%) AY641471 C. psammocephalus (1,118 bits) UDB002161; C. diasemospermus (1,172 bits) UDB001230
Cortinarius 0311002 C. umbrinolens(95%) AY669658; Cortinarius EM (99%) AY748857
Cortinarius 0401100 C. flexipes (96%) AJ889971 C. flexipes (1,029 bits) UDB000063
Cortinarius 05 10001 C. cf. saniosus (98%) DQ102683 C. rubrovioleipes (1,074 bits) UDB001453
Cortinarius 0610001 C. cf. saniosus (98%) DQ102683 C. diasemospermus (1,150 bits) UDB001230
Cortinarius 0701001 C. parvannulatus (89%) AY669664 C. diasemospermus (731 bits) UDB001230
Inocybe 0110001 I. pudica (89%) AY228341
Inocybe 0202020 Inocybe EM (88%) EF218781
Inocybe 0321120 Inocybe EM (94%) EF641838 I. rimosa (1,017 bits) UDB000103
Inocybe 0410100 Inocybe EM (94%) EF641838 I. rimosa (987bits) UDB000103
Inocybe 0511101 Inocybe EM (93%) AY940653; I. egenula (95%) AM882714
Inocybe 0622301 Inocybe EM (91%) EF218773 I. aurea (521 bits) UDB000612
Inocybe 07 (I. umbrina)01100EM (89%) AB218065 I. umbrina (545 bits) UDB000608
Inocybe 08 (I. acutella)10001 I. acutella (96%) AM882923 I. acutella (910 bits) UDB000609
Inocybe 0911110 I. cf.lanuginosa (92%) EU525979
Inocybe 1001001 I. cf. hirculus (92%) AM882986
Inocybe 1110100 I. egenula (96%) AM882714
Inocybe 1212210 I. egenula (95%) AM882714; Inocybe EM (95%) AY940653
Inocybe 1310100 I. egenula (95%) AM882714
Inocybe 1402101 I. pudica (89%) AY228341; EM(93%) AY940653
Inocybe 1501010 I. aff.lanuginosa (93%) EU486457 I. calamistrata (777 bits) UDB001195
Hebeloma 0112003 H. mesophaeum (97%) AB211272; H. albocolossum (99%) AY308583 H. velutipes (918 bits) UDB002445
Laccaria 0110010 L. bicolor (98%) DQ097876 L. amethystine (1,394 bits) UDB000006
Laccaria 0210001EM (94%) AB218097 L. laccata (1,255 bits) UDB000106
Tomentella 0110001 Tomentella EM (95%) EF218826 T. bryophila (955 bits) UDB000035
Tomentella 0210010 Tomentella EM (93%) EF218826 Tomentella sp. (904 bits) UDB001658
Tomentella 0321300 T. ramosissima (95%) U83480 T. lapida (1,088 bits) UDB001657
Tomentella 0410100 T. ramosissima (93%) U83480 T. lapida (920 bits) UDB001657
Tomentella 0510010Thelephoraceae EM (93%) AY825525 T. caryophyllea (886 bits) UDB000119
Tomentella 0601100 Thelephora EM (96%) EF655695 T. caryophyllea (932 bits) UDB000119
Tomentella 0710100Thelephoraceae EM (92%) EF825525 T. penicillata (1,080 bits) UDB000775
Tomentella 0810010 T. caryophyllea (94%) AJ889980 T. caryophyllea (1,049 bits) UDB000119
Tomentella 0921111 Tomentella EM (96%) EF218831 T. bryophila (831 bits) UDB000035
Tomentella 1030003Thelephoraceae EM (97%) EF077519 T. stuposa (1,065 bits) UDB000248
Tomentella 1110001 Tomentella EM (100%) EF218830 T. badia (914 bits) UDB001656
Tomentella 1210100 Tomentella EM (100%) EF218830 T. atramentaria (1,088 bits) UDB000235
Tomentella 13 (T. atramentaria)10100 Tomentella EM (98%) AY748876 T. atramentaria (1,013 bits) UDB000955
Tomentella 14 (T. badia)01100 Tomentella EM (100%) EF218830 T. badia (1,037 bits) UDB001656
Thelephoraceae 0110100 Tomentella EM (100%) EF218830 T. badia (599 bits) UDB000961
Thelephoraceae 0201010 Tomentella EM (86%) EU326163
Russula 0111110 R..cuprea (97%) AY061667 R. cuprea (1,170 bits) UDB002457
Russula 0201100 R. sanguinea (965 bits) UDB001634
Russula 0352106Russulaceae sp. (97%) DQ061886 R. chloroides (1,207 bits) UDB002496
Russula 0420002 Russula EM (97%) EF218798 R. chloroides (1,164 bits) UDB002496
Russula 05 (R. pallescens)10100 R. pallescens (96%) DQ421987 R. pallescens (1,047 bits) UDB002461
Lactarius 01 (L.subsphagneti)13031 L. subsphagneti (99%) FJ378814 L. aurantiacus (1,411 bits) UDB000887
Lactarius 02 (L. spinosulus)01001 L. spinosulus (97%) AY606955 L. spinosulus (1,366 bits) UDB000373
Russulaceae 0110001 L. spinosulus (96%) AY606955 L. spinosulus (807 bits) UDB000373
Hymenoscyphus 0101001Ascomycete EM (98%) AJ534703 H. ericae (886 bits) UDB000515
Hymenoscyphus 0212111 H. ericae (694 bits) UDB000509
Lachnum 0121300 L. brevipilosum (1,011 bits) UDB003074
Lachnum 0211002 L. brevipilosum (1,041 bits) UDB003074
C. geophilum 0110010 C. geophilum (92%) AY394919 C. geophilum (654 bits) UDB002301
Hymenogastraceae 01a 13202 Hymenogaster rubyensis (91%) AY945303
Helotiales 01a 02101Helotiales sp. (97%) EF093147
Helotiales 02a 01100Helotiales EM (99%) EU326174
Helotiales 03a 01100Helotiales sp. (97%) EF093147
Acephala sp.a 01001 Acephala sp.(98%) EU434831 Hysteronae viascirpina (904 bits) UDB003025
Phialocephala sp.a 01100 P. sphaeroides (90%) EU434851
Leptodontidium sp.a 01001 L. orchidicola (98%) EU436691
Pleiochaeta sp.a 10001 P. ghindensis (97%) EU167561
Cistella sp.a 01001 C. fugiens (654 bits) UDB003082
Naeviopsis sp.a 25313Helotiales sp. (98%) EF093150 N. arctica (900 bits) UDB003042
Microglossum sp.a 20101 M. viride (99%) AY144534 Psilocistella alchemillae (559 bits) UDB003089
Hyalacrotes sp.a 10001 H. hamulata (892 bits) UDB003006
Pseudeurotium sp. a 01001 Pseudeurotium backeri (99%) DQ068995

Identification, frequency of OTUs, best blast matches in GenBank, and/or UNITE with identity (percent or bits number) and accession number are shown. Frequency by plant species included samples from all three seasons; frequency by season included samples of both plant species. OTUs in bold include individuals isolated from dauciform roots. May, July, and September are the sampling dates

Kf, K. filicina; Kc, K. capillifolia

aProbably plant endophytes

Mycobionts on K. filicina and K. capillifolia Identification, frequency of OTUs, best blast matches in GenBank, and/or UNITE with identity (percent or bits number) and accession number are shown. Frequency by plant species included samples from all three seasons; frequency by season included samples of both plant species. OTUs in bold include individuals isolated from dauciform roots. May, July, and September are the sampling dates Kf, K. filicina; Kc, K. capillifolia aProbably plant endophytes Thirty-nine EMF OTUs assigned to 12 genera were found on K. filicina and 54 of 12 genera were found on K. capillifolia. OTU richness was high in Inocybe (ten) for K. filicina and high in Tomentella/Thelophora (13) and Inocybe (12) for K. capillifolia. Twenty OTUs occurred on both plant species; richness was high in Inocybe (six). For K. filicina, 16 OTUs assigned to seven genera were detected from samples collected in May, 12 of nine genera from July, and 15 of nine genera from September. OTU richness was high in Inocybe (five) and Tomentella/Thelophora (three) for May, high in Inocybe (three) for July, and high in Inocybe (four) for September. Four OTUs were present during more than one season. For K. capillifolia, 24 OTUs assigned to seven genera were detected from samples of May, 13 of seven genera from July, and 23 of ten genera from September. OTU richness was high in Tomentella/Thelophora (seven) and Inocybe (six) for May, high in Inocybe (four) and Tomentella/Thelophora (three) for July, and high in Cortinarius (four), Inocybe (three), and Tomentella/Thelophora (four) for September. Six OTUs were present during more than one season. According to the chi-square test, there were no statistically significant differences of EMF occurrence between the two plant species (p = 0.4211 for samples collected in all seasons; p = 0.8079 for samples in May, p = 0.7064 for July, and p = 0.2799 for September) and among the three sampling seasons (p = 0.7640 for K. filicina, p = 0.2856 for K. capillifolia). According to the Kruskal–Wallis test, there were no statistically significant differences of average Shannon and Wiener’s diversity indices per sample between the two plant species (p = 0.6106 for samples of all seasons; p = 0.3042 for samples in May, p = 0.0555 for July, and p = 0.6862 for September) and among seasons (p = 0.2902 for K. filicina and p = 0.2676 for K. capillifolia). Average diversity measures per sample by plant species and by season are shown in Table 2.
Table 2

Average EMF diversity measures per sample on K. filicina and K. capillifolia

IndexSamples/speciesSamples/season/species
KfKcKfKc
MayJulySept.MayJulySept.
Richness1.2531.2881.3631.1651.2041.2521.4301.252
Diversity0.6670.6720.6790.6590.6630.6680.6860.667
Evenness0.9640.9680.9800.9500.9550.96410.964

Diversity measures including species richness index, diversity index and evenness index are presented for samples of each plant species, and for samples of each season for each plant species separately

Kf, K. filicina; Kc, K. capillifolia

Average EMF diversity measures per sample on K. filicina and K. capillifolia Diversity measures including species richness index, diversity index and evenness index are presented for samples of each plant species, and for samples of each season for each plant species separately Kf, K. filicina; Kc, K. capillifolia

Dauciform roots with EMF

Dauciform roots were detected in 19 samples (31.7% of the total samples) of the two species of Kobresia. They were carrot-shaped lateral roots generally connected to the parent roots by a peduncle and white, pale yellow, orange, or beige (Fig. 1a). Some of the dauciform roots extending directly from the parent roots without a peduncle were white or occasionally beige. They were initially smooth but turned brush-like due to long, dense root hairs when mature (Fig. 1b). Typical ectomycorrhizal characters, i.e., mantle and Hartig’s net, were not detected on them, but fungal hyphae were observed on their surface (Fig. 1c). Eleven EMF OTUs were obtained from them, including members in Russula, Lactarius, Tomentella/Thelophora, Cortinarius, Sebacina, Hymenoscyphus, and Lachnum. OTU richness was high in Russulaceae (four).
Fig. 1

Dauciform roots of K. filicina with EMF. a Macromorphology of dauciform roots. b Transverse section of a dauciform root (rh root hairs). c Vertical section of a dauciform root (fh fungal hyphae). Scale bar is 1 mm for a, 250 μm for b, and 500 μm for c

Dauciform roots of K. filicina with EMF. a Macromorphology of dauciform roots. b Transverse section of a dauciform root (rh root hairs). c Vertical section of a dauciform root (fh fungal hyphae). Scale bar is 1 mm for a, 250 μm for b, and 500 μm for c

Discussion

Mycobiont diversity of alpine plants

Based on former studies of alpine areas in Europe and North America (Gardes and Dahlberg 1996; Schadt and Schmidt 2001; Mühlmann et al. 2008; Mühlmann and Peintner 2008a, b), Inocybe, Cortinarius, Tomentella/Thelophora, Russula, and Lactarius are the main arctic-alpine ectomycorrhizal genera. Our study in an alpine meadow of southwest China found a similar assemblage. It is evident that alpine plants in different geographical regions share similar main mycobiont genera and/or families. There were regional differences at the species level, however, since most of the EMF OTUs detected have not been found elsewhere. In our study, the ascomycete mycobionts Hymenoscyphus and Lachnum were detected on the two species of Kobresia, suggesting that further attention to ascomycete mycobionts in addition to the C. geophilum complex is needed in future studies. Other ascomycetes, including species of Helotiales (besides Hymenoscyphus spp. and Lachnum spp.), were detected on ectomycorrhizal root tips and the dauciform roots of the two species of Kobresia, and ascomycete mycobionts of Helotiales, Leotiales, Erisyphales, Pezizales (e.g., Helvella sp. and Terfezia boudieri), and Lecythophora were found on several alpine plants (i.e., K. myosuroides, Polygonum viviparum, and Salix herbacea) (Schadt and Schmidt 2001; Ali and Hossein 2008; Mühlmann et al. 2008; Mühlmann and Peintner 2008a, b). Those ascomycetes may be plant endophytes (dark septate fungi and/or arbuscular mycorrhizae), indicating that fungi of different functions, i.e., multiple infections, may coexist within mycorrhizal root tips (Menkis et al. 2005; Wagg et al. 2008) or, alternatively, are opportunistic infections.

General mycobionts of alpine plants

No specificity by EMF communities for plant species and sampling season was detected in our sample size. Similar OTU richness of Inocybe was found on the two plant species during the three sampling seasons, and Tomentella/Thelephora and Inocybe were OTU-rich genera for each species and for each season/each plant. Mühlmann et al. (2008) and Mühlmann and Peintner (2008a, b) also found that Tomentella/Thelephora and Inocybe were species-rich mycobiont genera of alpine plants in Europe. Thus, the two may be the general and dominant mycobiont genera of plant species during all seasons plus being generalists with more ecological plasticity to environmental changes than other microbionts in alpine areas.

Dauciform roots colonized by EMF

Our observations revealed that dauciform roots were produced by two species of Kobresia, and it is noteworthy that they were colonized by EMF. Dauciform roots, commonly produced in nutrient-impoverished soils, are able to enhance nutrient acquisition of plants. They have been observed on several other plants in the Cyperaceae (e.g., Caustis blakei and Schoenus unispiculatus) in response to phosphorus deficiency (Playsted et al. 2006; Shane et al. 2004). Dauciform roots colonized by EMF, however, have not been reported previously. For both plants and fungi, production of dauciform roots with EMF might be the result of ecophysiological adaptation to alpine adversity, where environmental conditions cause difficulties in nutrient acquisition. Below is the link to the electronic supplementary material. (DOC 138 kb)
  13 in total

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Authors:  Marlene Henríquez; Karen Vergara; Javiera Norambuena; Andrea Beiza; Felipe Maza; Pamela Ubilla; Ivanna Araya; Renato Chávez; Aurelio San-Martín; José Darias; María J Darias; Inmaculada Vaca
Journal:  World J Microbiol Biotechnol       Date:  2013-07-04       Impact factor: 3.312

5.  Lingonberry (Vaccinium vitis-idaea L.) Interact With Lachnum pygmaeum to Mitigate Drought and Promote Growth.

Authors:  Hu Lou; Chao Guo; Baozhen Fan; Rao Fu; Heng Su; Jie Zhang; Long Sun
Journal:  Front Plant Sci       Date:  2022-06-09       Impact factor: 6.627

6.  Ectomycorrhizal fungal communities in alpine relict forests of Pinus pumila on Mt. Norikura, Japan.

Authors:  Takahiko Koizumi; Masahira Hattori; Kazuhide Nara
Journal:  Mycorrhiza       Date:  2018-01-12       Impact factor: 3.387

7.  Ectomycorrhizal fungal communities in ice-age relict forests of Pinus pumila on nine mountains correspond to summer temperature.

Authors:  Takahiko Koizumi; Kazuhide Nara
Journal:  ISME J       Date:  2019-10-14       Impact factor: 10.302

8.  Leotia cf. lubrica forms arbutoid mycorrhiza with Comarostaphylis arbutoides (Ericaceae).

Authors:  Katja Kühdorf; B Münzenberger; D Begerow; J Gómez-Laurito; R F Hüttl
Journal:  Mycorrhiza       Date:  2014-07-18       Impact factor: 3.387

9.  Divergence Times and Phylogenetic Patterns of Sebacinales, a Highly Diverse and Widespread Fungal Lineage.

Authors:  Sigisfredo Garnica; Kai Riess; Max E Schön; Franz Oberwinkler; Sabrina D Setaro
Journal:  PLoS One       Date:  2016-03-03       Impact factor: 3.240

  9 in total

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