Abstract
We investigated fungal communities colonising black cherry stumps. We tested the hypothesis that black cherry stumps of greater diameter should be characterised by more diverse fungal communities than stumps of smaller diameter. The material for analyses came from Podanin Forest District. DNA was extracted using a Plant Genomic DNA purification kit. The results were subjected to bioinformatic analysis and statistical analysis. The OTU sequences were compared using the BLAST algorithm with reference sequences from the UNITE database. In total, 8192 raw sequences were obtained from samples of black cherry stumps applying the Illumina sequencing technique. The results of the statistical analysis indicate a trend towards increased diversity in bigger black cherry stumps. The dominant share of fungi associated with wood decomposition indicates the progressing process of decomposition in stumps. Identification of the role and functions of the individual components of fungal communities colonising stumps may provide insight into the overall ecology of these organisms and provide a basis for improved plant protection, with a view to limiting the occurrence of black cherries in the future in undesirable locations outside their natural range.
1 Introduction
Dynamic development of the black cherry (Prunus serotina) population has been observed in monocultures of Scots pine (Pinus sylvestris L.), plantations of black pine (P. nigra Arn.) and European larch (Larix decidua Mill.) [1], fresh mixed coniferous forest, fresh mixed forest and fresh forest stands [2, 3]. When appearing on a mass scale in the shrub layer, black cherry hinders regeneration, growth and development of native tree species such as oak or pine, which lose in the competition e.g. for light [1]. For these reasons remedial action is being undertaken to limit the occurrence of black cherry. The methods used to control invasive species are frequently based on experience, rather than on the results of research [4]. Attempts to control black cherry based on methods which are not supported by the results of reliable evidence-based research may be inappropriate, and in the longer term a mistaken strategy, comparable in severity to the original intended introduction of that species [1].
One of the factors leading to the classification of a species as invasive is the lack of organisms that are antagonistic to it in the newly colonised environment [3]. Our current knowledge concerning antagonistic organisms, particularly fungi, in relation to the black cherry is far from satisfactory. In Poland very few studies have been published on the mycological pathogens of this host plant species or more broadly the genus Prunus [5, 6, 4]. The most numerous publications concern Chondrostereum purpureum (Pers.), which in Western Europe is used in the biological control of undesirable deciduous species, including the black cherry [7, 8, 9]. Observations in the Kampinos National Park provided information on the occurrence of macrofungi on decomposing black cherry wood [10, 4].
However, there are no reports on communities of microfungi colonising black cherry wood. In view of the above it was decided to investigate fungal communities colonising black cherry stumps. Herein, we tested the hypothesis that black cherry stumps of greater diameter should be characterised by more diverse and more numerous fungal communities than stumps of smaller diameter (i). It was also assumed that: the saprotrophs will dominate in the fungal communities of black cherry (ii), the Illumina system will identify the majority of fungi at the level of genus or species (iii), and the month of felling will have an influence on the fungal communities (iv).
2 Materials and Methods
The material for analyses consisted of 15 black cherry stumps of maximum 5 cm diameter outside bark (sample K1) and 15 stumps that were over 5 cm in diameter outside bark (sample K2), left after the trees had been felled in March, April and May in the Podanin Forest District (19°28´00˝E 52°04´00˝N, the Margonin Forest Division, compartment 342a) (with 5 stumps in each month). The dominant forest site type was fresh mixed forest (LMśw), growing on a rusty brown soil (RDbr). From the selected stumps 2 cm discs were cut, which were then spot drilled using a SPARKY BUR 15E cordless impact drill with a 2 mm bit. The material collection procedure was performed according to [11]. Samples of pulverised wood were ground in a mortar frozen to –70°C. DNA was extracted using a Plant Genomic DNA purification kit (ThermoScientific). The protocol was modified to include extended lysis. The fungal community was identified to species based on the ITS½ rDNA region. Analysis was conducted using specific primers ITS FI2 5`GAA CCW GCG GAR TCA 3` and 5.8S 5`CGC TGC GTT CTT CAT 3` [12]. The reaction mixture was composed of 2.5 μl DNA, 0.2 μl each primer, 10.6 μl deionised water and 12.5 μl 2X PCR MIX (A&A Biotechnology). The amplification reaction was run in a thermocycler and included initial denaturation (94°C 5 min); 35 cycles of denaturation (94°C 30 s), annealing (56°C 30 s) and elongation (72°C 30 s); and final elongation (72°C 7 min). Next, the product was verified on 1% agarose gel stained with Midori Green Advance DNA (Genetics). The product obtained was purified and sequenced using the SBS technology by Illumina (Genomed S.A. Warszawa).
The results were subjected to bioinformatic analysis (PIPITS, PEAR; FASTX, ITSx, UNITE) and statistical analysis. The OTU sequences were compared using the BLAST algorithm with reference sequences from the UNITE database. Identification was performed to the rank of the lowest possible taxon. A description of the individual stages of the bioinformatic and statistical analyses was given by Szewczyk et al. 2017 [13].
3 Results
In total, 8192 raw sequences were obtained from 18 samples of black cherry stumps applying the Illumina sequencing technique. This number includes sequences of culturable fungi (6652 = 81.20%), non-culturable fungi (540 = 6.59%) and organisms with no reference sequence in the database (1001 = 12.21%). The stumps were colonised by 363 taxa. Cultured fungi of small stumps (K1): Ascomycota, Basidiomycota, Glomeromycota and Zygomycota were represented by 1134 (55.06%), 286 (11.8%), 6 (0.25%) and 6 (0.25%) taxa, respectively, comprising 85.15% of all taxa detected. In turn, cultured fungi from big stumps (K2), i.e. Ascomycota, Basidiomycota, Glomeromycota and Zygomycota, were represented by 3245 (56.25%), 1265 (21.93%), 1 (0.02%) and 28 (0.49%) taxa, respectively. Non-culturable organisms were represented by 310 taxa in samples K1 and 335 in samples K2.
| Spring K1 | Spring K2 | |
|---|---|---|
| D-Mg index | 13.9807 | 34.1791 |
| Shannon`s diversity index H | 2.4793 | 3.5573 |
| Shannon`s evenness index E | 0.5275 | 0.6248 |
| Simpson’s diversity index | 0.14 | 0.0731 |
| Berger-Parker Dominance index | 0.1258 | 0.16 |
Margalef’s index (DMg), Shannon’s diversity index (H’) and Simpson’s diversity index (D) indicate a trend towards increased diversity in bigger black cherry stumps (K2) (Table 1). Similarly, the dominance of single taxa in communities in larger stumps (K2) resulted in low values for Shannon’s evenness index (E) and high values for Berger–Parker’s dominance index (d).
The most common fungi in small stumps (K1) included Pleurophoma ossicola (25.46%), Mycena megaspora (5.49%), Trichosporon otae (3.26%), Penicillium citreonigrum (2.93%), Yarrowia lipolytica (2.06%), P. lapidosum (2.35%) Blastobotrys sp. (2.02%), and Candida fructus (1.98%). However, in larger stumps (K2) the most common fungi were Proliferodiscus sp. (14.75%), Laetiporus sulphureus (3.73%), Tumularia sp. (2.24%), Cuniculitrema polymorpha (1.84%), Curvibasidium cygneicollum (1.61%), C. mycetangii (1.42%), Biatora sphaeroidizax (1.37%), Rhizoscyphus sp. (1.32%), Fellozyma inositophila (1.23%), Hamamotoa lignophila (1.04%) (Tab. 2).
The fungi found on both small and large stumps were Beauveria pseudobassiana, Chalara sp., Ciborinia candolleana, Dictyochaeta sp., Infundichalara minuta, Jattaea ribicola, Lachnellula calyciformis, Penicillium bialowiezense, P. citreonigrum, P. lapidosum, P. raphiae, Phialocephala compacta, Pleurophoma ossicola, Proliferodiscus sp., Sordariomycetes sp., Tumularia sp., Agaricomycetes sp., Microstroma album, Mycena megaspora, Vishniacozyma victoriae, Rozellomycota sp. and Umbelopsis isabellina.
4 Discussion
Greater diversity of fungal species in the community was observed for black cherry stumps exceeding 5 cm in diameter. In both cases the fungal community was dominated by fungi from the Phylum Ascomycota, with their share slightly exceeding 55% in the analysed communities, as confirmed by earlier reports concerning deciduous trees [14, 15]. These results indicate that the dominance of Ascomycota in the fungal community associated with dead wood is also related to the degree of its decomposition, i.e. the earlier the decomposition stage of wood, the greater the share of Ascomycota in the community [16, 17, 18, 19, 20]. The analysed stumps were classified into wood decomposition class 1 and samples were collected 1 year after the black cherries were removed from the stand, thus the recorded results confirm earlier reports. Fungi belonging to the Phylum Ascomycota cause slow wood decomposition, which is limited only to surface decay in periods of increased humidity. However, alternating drought and wet periods promote deeper penetration of the mycelium and lead to extended wood decomposition [21]. In turn, in the analysed community the share of taxa belonging to the Phylum Basidiomycota was almost 2-fold greater in the community of black cherry stumps with diameters exceeding 5 cm than in black cherry stumps with diameters not exceeding 5 cm. A lesser share was recorded for taxa belonging to the Phylum Basidiomycota. Similar results were also reported by van der Wall et al. 2015 [22] and Kwaśna et al. 2016 [15].
Pleurophoma ossicola was the taxon found most frequently on black cherry stumps of lesser diameter (over 25%), although it was also recorded to some extent on larger stumps (0.23%). It was found in a stand with Scots pine in Germany [23]. The literature lacks data on the function of this fungus in the community. The rotting bonnet fungus (Mycena megaspora) was one of the most abundant species recorded in the fungal community of black cherry stumps (K1, 5.49%), as well as a species common for both analysed variants (K1 and K2). Fungi belonging to that genus are most frequently classified as saprotrophs, except for M. citricolor (Ber. & Curt.). Fungi from the genus Mycena are commonly found on dead wood of coniferous trees and angiosperms, on decomposing stems and branches, on the bark of living trees, in soil, and less frequently on decomposing ferns, grasses or other herbaceous plants and mosses [24].
In the fungal community of black cherry stumps of over 5 cm in diameter (K2) the most abundant taxon was Proliferodiscus, which was a common taxon for both analysed black cherry communities. Fungi from that genus play an important role in the decomposition of various organic substances, including dead wood, branches and leaf litter. An example is provided by P. pulveraceus, a new species in Poland discovered in 2008, which is found on dead hornbeam wood [25].
Beauveria pseudobassiana was a common species in both analysed communities; nevertheless, its share was below 1%. This genus includes B. bassiana and B. brongniartii, used in biological control of harmful insects [26]. The genus Chalara was also found to be a common taxon for both communities, comprising pathogens such as Ch. fraxinea causing ash die-back [27,28]. Other taxa recorded in both communities were Ciborinia candolleana, Dictyochaeta, and Infundichalara minuta, which is classified as a saprotrophic species [29, 30, 31]. Lachnellula calyciformis was another species common in both communities; as a saprotroph it colonises knots, snags, dead branches and twigs, and, less commonly, living trees [32]. Other species common for both communities of black cherry stumps include Penicillium bialowiezense, which so far has been isolated from forest soil (in Poland), as well as P. raphiae found in soil [33]. In both cases Microstroma album was identified, which is classified as an obligate parasite of Quercus [34].
The available literature still lacks reports thoroughly detailing communities of fungi colonising black cherry stumps. Information on fungi on roots of that species and studies of Macromycetes colonising black cherry wood have been published by Kwaśna et al. 2008 [35]. Similarly, as reported by Kwaśna et al. 2008 [35], in the current study of the community of fungi colonising black cherry stumps species from the genus Mycena were recorded, e.g. M. cinerella, M. galericulata, M. megaspora and M. sanguinolenta. In the fungal community colonising stumps exceeding 5 cm, similarly to the study by Kwaśna et al. 2008 [35], we found a small group of fungi from the genus Fusarium and a single species F. cyanostomum, as well as Humicola spp. Sporothrix dimorphospora. In stumps of less than 5 cm in diameter a fungal species from the genus Trichoderma was identified: T. asperellum. In wood of stumps of all black cherry trees, fungi from the genus Penicillium were identified, although this community differed from that reported in black cherry roots. In black cherry stumps the following Penicillium fungi were found: P. angulare, P. bialowiezense, P. citreonigrum, P. kongii, P. lanosum, P. lapidosum, P. miczynskii, P. raphiae and P. viticola. Identification of fungal communities in black cherry roots and stumps was not consistent due to the differences in the analysed material and the methods applied to identify the respective communities. In the Kampinos National Park in the wood of black cherries subjected to mechanical control, analysis showed the presence of Nectria cinnabarina (Tode) Fr. anamorph [4], while in the case analyses of stumps a sparse share (>1%) of Nectriaceae was found. Other differences were found in the species Mycena galericulata [4], which was also identified on stumps with diameters of less than 5 cm, and M. haematopus (Pers.) P. Kumm; Peniophora cinerea (Pers.) Cooke; Phaeotremella pseudofoliacea Rea and Stereum rugosum [4], which we identified in the wood of larger stumps. Stereum rugosum was only recorded in approximately 2% of trees, but accounted for approximately 7% of trees which were colonised by fungi. This species is mainly saprotrophic in character. Locally it causes bark necroses or cankers on stems of deciduous trees [36]. In the Kampinos National Park Laetiporus sulphureus has been reported on logs, branches and trees of the black cherry [4], while in this study it had a 3.76% share in wood of stumps with diameters larger than 5 cm. Stereum hirsutum was identified in this study in the wood of larger black cherry stumps, as well as Tremella mesenterica Retz [4], whereas in our study a share of the genus Tremella was identified in this community.
5 Conclusion
The results of the above-mentioned study are consistent with our hypothesis that larger black cherry stumps should be characterised by a more diverse fungal species composition both qualitatively and quantitatively. Taking into account this study’s results, it seems justified to undertake further studies on the species Pleurophoma ossicola, whose share in black cherry stumps with diameters of maximum 5 cm exceeded 25%, while its ecology and function in the forest environment have not been thoroughly identified to date.
Saprotrophs and pathogens, both termed facultative parasites, that are primarily found in the analysed black cherry stumps include Proliferodiscus sp., Laetiporus sulphureus, Mycena megaspora, Trichosporon otae, Yarrowia lipolytica, Tumularia and Curvibasidium cygneicollum. The dominant share of fungi associated with wood decomposition indicates the progressing process of decomposition in stumps; however, the rate of black cherry wood decomposition by the above-mentioned taxa has not been determined. In the fungal community of black cherry stumps we did not find any economically important pathogens associated with tree root systems, for example genera such as Armillaria and Heterobasidion. Using the criterion of a 1% share in the community, we recorded the presence of a mycorrhizal fungus Rhizoscyphus sp. associated with the family Ericaceae. Moreover, we also identified fungi which to date have been considered to have no economic importance in the forest economy.
The applied sequencing method based on the Illumina System made it possible to identify most fungi (nearly 90%) to the genus or species levels. Classification of fungi was more effective than in studies based on 454 sequencing, in which 40% sequences were unidentified even at the genus level [19,20]. This confirms the efficacy of the applied method for determining and defining the composition of fungal communities.
The analysis of the quantitative and qualitative composition undertaken in our study on fungal communities colonising black cherry stumps is in line with basic research on this species. Identification of the role and functions of the individual components of fungal communities colonising stumps may provide some insight into the overall ecology of these organisms and provide a basis for improved plant protection and control, with a view to limiting the occurrence of black cherries in the future in undesirable locations outside their natural range. Our study is an introduction into an analysis of variability in the structure of the above-mentioned community.
Acknowledments
This study was co-financed by the State Forests National Forest Holding, General Directorate of the State Forests in Warsaw, programme as “Development of methods for combating Black cherry in pine stands” (Project number OR.271.3.13.2017).
Conflict of interest: Authors state no conflict of interest.
References
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| No. | Taxon | K1 | K2 |
|---|---|---|---|
| % | % | ||
| Fungi | |||
| Ascomycota | |||
| 1. | Absconditella sp. | 0.000 | 0.017 |
| 2. | Acephala applanata Grünig & T.N. Sieber | 0.124 | 0.000 |
| 3. | Alatospora sp. | 0.000 | 0.017 |
| 4. | Arachnopeziza sp. | 0.000 | 0.312 |
| 5. | Articulospora sp. | 0.000 | 0.017 |
| 6. | Ascomycota | 12.629 | 15.999 |
| 7. | Barssia maroccana G. Moreno, Manjón, Carlavilla & P. Alvarado | 0.124 | 0.000 |
| 8. | Beauveria pseudobassiana S.A. Rehner & Humber | 0.083 | 0.104 |
| 9. | Biatora sphaeroidiza Printzen & Holien | 0.000 | 1.369 |
| 10. | Bionectriaceae | 0.000 | 0.017 |
| 11. | Blastobotrys sp. | 2.022 | 0.000 |
| 12. | Cadophora luteo-olivacea (J.F.H. Beyma) T.C. Harr. & McNew | 0.000 | 0.087 |
| 13. | Caliciopsis beckhausii (Körb.) Garrido-Ben. & Pérez-Ort. | 0.000 | 0.052 |
| 14. | Candida fructus (Nakase) S.A. Mey. & Yarrow +C. mycetangii Kurtzman+ Candida sp. | 1.981 | 1.487 |
| 15. | Capronia pilosella (P. Karst.) E. Müll., Petrini, P.J. Fisher, Samuels & Rossman + C. pulcherrima (Munk) E. Müll., Petrini, P.J. Fisher, Samuels & Rossman+ Capronia sp. | 0.000 | 0.087 |
| 16. | Cephalosporium sp. | 0.000 | 0.017 |
| 17. | Cephalothecaceae | 0.083 | 0.503 |
| 18. | Chaetomium sp. | 0.000 | 0.017 |
| 19. | Chaetothyriales | 0.000 | 0.589 |
| 20. | Chalara sp. | 0.041 | 0.017 |
| 21. | Chloridium sp. | 0.124 | 0.000 |
| 22. | Ciborinia candolleana (Lév.) Whetzel | 0.041 | 0.017 |
| 23. | Ciliophora sp. | 0.124 | 0.000 |
| 24. | Cladophialophora arxii Tintelnot + Cladophialophora sp. | 0.000 | 0.364 |
| 25. | Claussenomyces | 0.000 | 0.017 |
| 26. | Collophora sp. | 0.000 | 0.104 |
| 27. | Colpoma quercinum (Pers.) Wallr. | 0.000 | 0.017 |
| 28. | Coniochaeta sp. | 0.000 | 0.121 |
| 29. | Crocicreas epicalamia (Fuckel) Raitv. & Kutorga + Crocicreas sp. | 0.206 | 0.017 |
| 30. | Cyphellophora reptans (de Hoog) Réblová & Unter. | 0.000 | 0.191 |
| 31. | Dermateaceae | 0.206 | 0.052 |
| 32. | Desertella sp. | 0.000 | 0.156 |
| 33. | Diaporthe helicis Niessl | 0.000 | 0.035 |
| 34. | Dictyochaeta sp. | 0.165 | 0.017 |
| 35. | Discosia pseudoartocreas Crous & Damm | 0.000 | 0.069 |
| 36. | Discostroma sp. | 0.000 | 0.069 |
| 37. | Exophiala bergeri Haase & de Hoog + E. castellanii Iwatsu, Nishim. & Miyaji + E. psychrophila O.A. Pedersen & Langvad +E. sideris Seyedm. & de Hoog +Exophiala sp. | 0.000 | 1.005 |
| 38. | Fusarium cyanostomum (Sacc. & Flageolet) O’Donnell & Geiser +Fusarium sp. | 0.000 | 1.004 |
| 39. | Fusicladium cordae Koukol | 0.000 | 0.017 |
| 40. | Geomyces auratus Traaen | 0.000 | 0.035 |
| 41. | Helotiaceae | 0.000 | 0.624 |
| 42. | Helotiales | 1.197 | 0.312 |
| 43. | Herpotrichiellaceae sp. | 0.041 | 2.704 |
| 44. | Humicola sp. | 0.000 | 0.416 |
| 45. | Hyalorbilia inflatula (P. Karst.) Baral & G. Marson | 0.000 | 0.017 |
| 46. | Hyaloscyphaceae | 0.000 | 0.035 |
| 47. | Hydnotrya tulasnei (Berk.) Berk. & Broome | 0.041 | 0.000 |
| 48. | Hyphodiscus hymeniophilus (P. Karst.) Baral | 0.000 | 0.052 |
| 49. | Hypocreales | 0.165 | 0.537 |
| 50. | Hypomyces lactifluorum (Schwein.) Tul. & C. Tul. | 0.000 | 0.017 |
| 51. | Infundichalara minuta Koukol | 0.206 | 0.052 |
| 52. | Jattaea aphanospora Réblová & J. Fourn. | 0.000 | 0.104 |
| 53. | Jattaea ribicola Réblová & Jaklitsch | 0.041 | 0.035 |
| 54. | Junewangia queenslandica (Matsush.) J.W. Xia & X.G. Zhang | 0.000 | 0.069 |
| 55. | Lachnellula calyciformis (Batsch) Dharne | 0.413 | 0.156 |
| 56. | Lecania sp. | 0.000 | 0.017 |
| 57. | Lecanicillium muscarium (Petch) Zare & W. Gams | 0.000 | 0.035 |
| 58. | Lecanorales | 0.000 | 0.017 |
| 59. | Lecanoromycetes | 0.000 | 0.329 |
| 60. | Lecophagus sp. | 0.000 | 0.347 |
| 61. | Leotiomycetes | 0.083 | 0.988 |
| 62. | Lepraria elobata Tønsberg | 0.000 | 0.069 |
| 63. | Leptodontidium trabinellum (P. Karst.) Baral, Platas & R. Galán | 0.000 | 0.329 |
| 64. | Lophium arboricola (Buczacki) Madrid & Gené | 0.000 | 0.052 |
| 65. | Lophodermium pinastri (Schrad.) Chevall. | 0.454 | 0.000 |
| 66. | Menispora manitobaensis B. Sutton | 0.000 | 0.156 |
| 67. | Metapochonia bulbillosa (W. Gams & Malla) Kepler, S.A. Rehner & Humber | 0.000 | 0.087 |
| 68. | Micarea assimilata (Nyl.) Coppins | 0.000 | 0.017 |
| 69. | Mollisia cinerea (Batsch) P. Karst. | 0.000 | 0.017 |
| 70. | Mycoleptodiscus sp. | 0.000 | 0.035 |
| 71. | Nectriaceae | 0.000 | 0.052 |
| 72. | Neofabraea sp. | 0.000 | 0.087 |
| 73. | Oidiodendron majus G.L. Barron | 0.000 | 0.017 |
| 74. | Onygenaceae | 0.000 | 0.052 |
| 75. | Ophiostoma tsotsi Grobbel., Z.W. De Beer & M.J. Wingf.si | 0.000 | 0.069 |
| 76. | Ophiostomataceae | 0.000 | 0.087 |
| 77. | Orbilia aprilis Velen. + O.aristata (Velen.) Velen. | 0.000 | 0.156 |
| 78. | Orbiliomycetes sp. | 0.000 | 0.052 |
| 79. | Otidea subterranea Healy & M.E. Sm. | 0.000 | 0.069 |
| 80. | Pannaria athroophylla (Stirt.) Elvebakk & D.J. Galloway | 0.000 | 0.087 |
| 81. | Parmelia subdivaricata Asahina | 0.000 | 0.017 |
| 82. | Penicillium angulare S.W. Peterson, E.M. Bayer & Wicklow + P. bialowiezense K.W. Zaleski + P. citreonigrum Dierckx + P. kongii L. Wang + P. lanosum Westling + P. lapidosum Raper & Fennell + P. miczynskii K.W. Zaleski P. raphiae Houbraken, Frisvad & Samson + P. viticola Nonaka & Masuma | 5.365 | 1.144 |
| 83. | Pezicula sporulosa Verkley | 0.000 | 0.191 |
| 84. | Phacidium grevilleae Crous & M.J. Wingf. | 0.000 | 0.173 |
| 85. | Phaeomollisia piceae T.N. Sieber & Grünig | 0.000 | 0.035 |
| 86. | Phaeomoniella sp. | 0.000 | 0.017 |
| 87. | P. compacta Kowalski & Kehr + P. glacialis Grünig & T.N. Sieber + P. scopiformis Kowalski & Kehr + Phialocephala sp. | 0.330 | 0.572 |
| 88. | Picoa juniperi Vittad. | 0.000 | 0.676 |
| 89. | Pleurophoma ossicola Crous, Krawczynski & H.-G. Wagner | 25.464 | 0.225 |
| 90. | Proliferodiscus sp. | 0.413 | 14.751 |
| 91. | Pseudeurotiaceae | 0.000 | 0.035 |
| 92. | Pseudogymnoascus verrucosus A.V. Rice & Currah | 0.000 | 0.451 |
| 93. | Rhizoscyphus sp. | 0.000 | 1.317 |
| 94. | Saccharomycetales | 0.000 | 0.260 |
| 95. | Sarea resinae (Fr.) Kuntze | 0.000 | 0.069 |
| 96. | Sarocladium strictum (W. Gams) Summerb. | 0.000 | 0.711 |
| 97. | Sordariales | 0.000 | 0.017 |
| 98. | Sordariomycetes sp. | 0.083 | 0.416 |
| 99. | Sporothrix dimorphospora (Roxon & S.C. Jong) Madrid, Gené, Cano & Guarro | 0.000 | 0.208 |
| 100. | Stachybotrys sp. | 0.000 | 0.260 |
| 101. | Talaromyces amestolkiae N. Yilmaz, Houbraken, Frisvad & Samson + T. verruculosus (Peyronel) Samson, N. Yilmaz, Frisvad & Seifert + T. wortmannii C.R. Benj. | 0.165 | 0.070 |
| 102. | Taphrina confusa (G.F. Atk.) Giesenh. | 0.000 | 0.035 |
| 103. | Tolypocladium sp. | 0.000 | 0.087 |
| 104. | Trichoderma asperellum Samuels, Lieckf. & Nirenberg | 0.371 | 0.000 |
| 105. | Tridentaria implicans Drechsler | 0.000 | 0.035 |
| 106. | Trimmatostroma cordae N.D. Sharma & S.R. Singh | 0.000 | 0.017 |
| 107. | Truncatella restionacearum S.J. Lee & Crous | 0.000 | 0.087 |
| 108. | Tumularia sp. | 0.083 | 2.236 |
| 109. | Valsaceae | 0.041 | 0.347 |
| 110. | Venturia hystrioides (Dugan, R.G. Roberts & Hanlin) Crous & U. Braun +Venturia sp. | 0.000 | 0.168 |
| 111. | Venturiaceae | 0.000 | 0.035 |
| 112. | Venturiales | 0.000 | 0.069 |
| 113. | Xenopolyscytalum pinea Crous | 0.000 | 0.017 |
| 114. | Xylariaceae | 0.083 | 0.000 |
| 115. | Yamadazyma mexicana (M. Miranda, Holzschu, Phaff & Starmer) Billon-Grand | 0.000 | 0.052 |
| 116. | Yarrowia lipolytica (Wick., Kurtzman & Herman) Van der Walt & Arx | 2.064 | 0.000 |
| Frequency of Ascomycota | 55.056 | 56.249 | |
| Basidiomycota | |||
| 1. | Agaricaceae | 0.083 | 0.035 |
| 2. | Agaricales | 0.165 | 0.052 |
| 3. | Agaricomycetes sp. | 0.041 | 0.017 |
| 4. | Agaricostilbales | 0.000 | 0.017 |
| 5. | Amanita parcivolvata (Peck) E.-J. Gilbert | 0.000 | 0.017 |
| 6. | Auriculariales | 0.041 | 0.000 |
| 7. | Basidiomycota | 0.537 | 1.161 |
| 8. | Bullera sp. | 0.000 | 0.017 |
| 9. | Bulleromyces albus Boekhout & Á. Fonseca | 0.000 | 0.017 |
| 10. | Cantharellales | 0.083 | 0.000 |
| 11. | Chionosphaera cuniculicola R. Kirschner, Begerow & Oberw. | 0.000 | 0.017 |
| 12. | Chrysozymaceae | 0.000 | 0.017 |
| 13. | Clitopilus hobsonii (Berk.) P.D. Orton | 0.000 | 0.052 |
| 14. | Colacogloea philyla (Van der Walt, Klift & D.B. Scott) Q.M. Wang, F.Y. Bai, M. Groenew. & Boekhout | 0.000 | 0.087 |
| 15. | Colacogloea | 0.000 | 0.052 |
| 16. | Corticium confine Bourdot & Galzin | 0.000 | 0.017 |
| 17. | Cryptococcus pseudolongus M. Takash., Sugita, Shinoda & Nakase + C. psychrotolerans V. de García, Zalar, Brizzio, Gunde-Cim. & Van Broock + Cryptococcus sp. | 0.041 | 0.671 |
| 18. | Cuniculitrema polymorpha R. Kirschner & J.P. Samp. | 0.000 | 1.837 |
| 19. | Curvibasidium cygneicollum J.P. Samp. | 0.000 | 1.612 |
| 20. | Cystobasidiomycetes | 0.000 | 0.069 |
| 21. | Cystobasidium pinicola (F.Y. Bai, L.D. Guo & J.H. Zhao) Yurkov, Kachalkin, H.M. Daniel, M. Groenew., Libkind, V. de Garcia, Zalar, Gouliamova, Boekhout & Begerow | 0.000 | 0.537 |
| 22. | Cystofilobasidiales | 0.000 | 0.173 |
| 23. | Cystofilobasidium infirmominiatum (Fell, I.L. Hunter & Tallman) Hamam., Sugiy. & Komag. +C. macerans J.P. Samp. | 0.000 | 0.069 |
| 24. | Dacrymyces chrysospermus Berk. & M.A. Curtis | 0.000 | 0.485 |
| 25. | Dioszegia fristingensis Á. Fonseca, J. Inácio & J.P. Samp. | 0.000 | 0.017 |
| 26. | Erythrobasidiales | 0.000 | 0.069 |
| 27. | Erythrobasidium sp. | 0.000 | 0.052 |
| 28. | Exobasidium arescens Nannf. + E. maculosum M.T. Brewer + Exobasidium sp. | 0.000 | 0.624 |
| 29. | Fellomyces horovitziae Spaaij, G. Weber & Oberw. + F. mexicanus Lopandić, O. Molnár & Prillinger + Fellomyces sp. | 0.000 | 0.069 |
| 30. | Fellozyma inositophila (Nakase & M. Suzuki) Q.M. Wang, F.Y. Bai, M. Groenew. & Boekhout | 0.000 | 1.231 |
| 31. | Fibulobasidium murrhardtense J.P. Samp., Gadanho, M. Weiss & R. Bauer | 0.000 | 0.035 |
| 32. | Filobasidium stepposum (Golubev & J.P. Samp.) Xin Zhan Liu, F.Y. Bai, M. Groenew. & Boekhout | 0.000 | 0.087 |
| 33. | Genolevuria amylolytica (Á. Fonseca, J. Inácio & Spenc.-Mart.) Xin Zhan Liu, F.Y. Bai, M. Groenew. & Boekhout | 0.000 | 0.017 |
| 34. | Hamamotoa lignophila (I. Dill, C. Ramírez & A.E. González) Q.M. Wang, F.Y. Bai, M. Groenew. & Boekhout | 0.000 | 1.040 |
| 35. | Hydnaceae | 0.083 | 0.000 |
| 36. | Hygrophoraceae | 0.083 | 0.017 |
| 37. | Hymenochaetales | 0.124 | 0.000 |
| 38. | Inocybe sp. | 0.000 | 0.884 |
| 39. | Itersonilia pannonica (Niwata, Tornai-Leh., T. Deák & Nakase) Xin Zhan Liu, F.Y. Bai, J.Z. Groenew. & Boekhout | 0.000 | 0.156 |
| 40. | Kockovaella machilophila Cañ.-Gib., M. Takash., Sugita & Nakase | 0.000 | 0.676 |
| 41. | Kondoa aeria Á. Fonseca, J.P. Samp. & Fell | 0.000 | 0.017 |
| 42. | Kriegeria eriophori Bres. 1891 | 0.000 | 0.156 |
| 43. | Kurtzmanomyces | 0.000 | 0.035 |
| 44. | Kwoniella pini (Golubev & I. Pfeiff.) Xin Zhan Liu, F.Y. Bai, M. Groenew. & Boekhout | 0.000 | 0.139 |
| 45. | Laetiporus sulphureus (Bull.) Murrill | 0.000 | 3.727 |
| 46. | Leucosporidiales | 0.000 | 0.017 |
| 47. | Leucosporidiella creatinivora (Golubev) J.P. Samp. | 0.000 | 0.139 |
| 48. | Leucosporidium drummii Yurkov, A.M. Schäfer & Begerow + L. fasciculatum Babeva & Lisichk. + Leucosporidium sp. | 0.000 | 0.416 |
| 49. | Luellia recondita (H.S. Jacks.) K.H. Larss. & Hjortstam | 0.000 | 0.121 |
| 50. | Malassezia restricta E. Guého, J. Guillot & Midgley | 0.371 | 0.000 |
| 51. | Mastigobasidium intermedium Golubev | 0.000 | 0.017 |
| 52. | Microbotryomycetes | 0.000 | 0.485 |
| 53. | Microsporomyces pini (C.H. Pohl, M.S. Smit & Albertyn) Q.M. Wang, F.Y. Bai, M. Groenew. & Boekhout | 0.000 | 0.104 |
| 54. | Microstroma album (Desm.) Sacc. | 0.330 | 0.087 |
| 55. | Mrakia frigida (Fell, Statzell, I.L. Hunter & Phaff) Y. Yamada & Komag. | 0.000 | 0.017 |
| 56. | Mycena cinerella (P. Karst.) P. Karst. + M. galericulata (Scop.) Gray + M. megaspora Kauffman + M. sanguinolenta (Alb. & Schwein.) P. Kumm. | 6.108 | 0.156 |
| 57. | Oberwinklerozyma yarrowii (Á. Fonseca & Uden) Q.M. Wang, F.Y. Bai, M. Groenew. & Boekhout | 0.000 | 0.017 |
| 58. | Papiliotrema perniciosa (Golubev, Gadanho, J.P. Samp. & N.W. Golubev) Xin Zhan Liu, F.Y. Bai, M. Groenew. & Boekhout | 0.000 | 0.121 |
| 59. | Peniophora pini (Schleich. ex DC.) Boidin | 0.000 | 0.017 |
| 60. | Phaeotremella skinneri (Phaff & Carmo Souza) Yurkov & Boekhout, | 0.000 | 0.017 |
| 61. | Rhodotorula glutinis (Fresen.) F.C. Harrison + R. nothofagi C. Ramírez & A.E. González + Rhodotorula sp. | 0.000 | 0.329 |
| 62. | Russulales | 0.041 | 0.017 |
| 63. | Schizophyllum sp. | 0.000 | 0.017 |
| 64. | Septobasidium broussonetiae C.X. Lu, L. Guo & J.G. Wei + S. pallidum Couch ex L.D. Gómez & Henk | 0.000 | 0.130 |
| 65. | Slooffia tsugae (Phaff & Carmo Souza) Q.M. Wang, F.Y. Bai, M. Groenew. & Boekhout | 0.000 | 0.035 |
| 66. | Sporidiobolales | 0.000 | 0.156 |
| 67. | Stereum hirsutum (Willd.) Pers. + S. rugosum Pers. | 0.000 | 0.034 |
| 68. | Tausonia pullulans (Lindner) Xin Zhan Liu, F.Y. Bai, J.Z. Groenew. & Boekhout | 0.000 | 0.624 |
| 69. | Thelephorales | 0.000 | 0.035 |
| 70. | Tremella globispora D.A. Reid + T. indecorata Sommerf. + Tremella sp. | 0.000 | 0.416 |
| 71. | Tremellales | 0.000 | 0.659 |
| 72. | Tremellomycetes | 0.000 | 1.179 |
| 73. | Trichosporon otae Sugita, Takshima & Kikuchi | 3.260 | 0.000 |
| 74. | Tulasnella sp. | 0.330 | 0.000 |
| 75. | Vishniacozyma carnescens (Verona & Luchetti) Xin Zhan Liu, F.Y. Bai, M. Groenew. & Boekhout + V. victoriae (M.J. Montes, Belloch, Galiana, M.D. García, C. Andrés, S. Ferrer, Torr.-Rodr. & J. Guinea) Xin Zhan Liu, F.Y. Bai, M. Groenew. & Boekhout | 0.083 | 0.208 |
| 76. | Vonarxula javanica (Arx & Weijman) Q.M. Wang, F.Y. Bai, M. Groenew. & Boekhout | 0.000 | 0.087 |
| 77. | Yunzhangia auriculariae (Nakase) Q.M. Wang, F.Y. Bai, M. Groenew. & Boekhout | 0.000 | 0.017 |
| Frequency of Basidiomycota | 11.804 | 21.928 | |
| Zygomycota | |||
| 1. | Mortierella hyalina (Harz) W. Gams | 0,247627 | |
| 2. | Umbelopsis isabellina (Oudem.) W. Gams | 0,247627 | |
| Others | |||
| Plantae | |||
| 1. | Anthophyta | 0 | 0,034668 |
| 2. | Chlorophyta | 0,288898 | 1,716069 |
| 3. | Plantae | 0,123813 | 0,225342 |
| Protista | |||
| 1. | Cercozoa sp. | 0,165085 | 0,554689 |
| Frequency of Oters | |||
| 1. | No sequence in the database UNITE | 19,27363 | 12,98319 |
| 2. | Non-cultivable fungi | 12,79406 | 5,806899 |
| 3. | Number of isolates | 100 | 100 |
| 4. | Number of fungi isolates | 80,14858 | 84,48605 |
© 2019 Korzeniewicz Robert et al., published by De Gruyter
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
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- Metabolomics Approach for The Analysis of Resistance of Four Tomato Genotypes (Solanum lycopersicum L.) to Root-Knot Nematodes (Meloidogyne incognita)
- Beneficial Effects of Salt on Halophyte Growth: Morphology, Cells, and Genes
- Phosphate-solubilizing bacteria from safflower rhizosphere and their effect on seedling growth
- Anatomy and Histochemistry of the Roots and Shoots in the Aquatic Selenium Hyperaccumulator Cardamine hupingshanensis (Brassicaceae)
- Effects of LED light on Acacia melanoxylon bud proliferation in vitro and root growth ex vitro
- Ecology and Environmental Sciences
- Intensity of stripping and sugar content in the bark and the bast of European beech (Fagus sylvatica)
- Influence of monometallic and bimetallic phytonanoparticles on physiological status of mezquite
- Loci identification of a N-acyl homoserine lactone type quorum sensing system and a new LysR-type transcriptional regulator associated with antimicrobial activity and swarming in Burkholderia gladioli UAPS07070
- Bacillus methylotrophicus has potential applications against Monilinia fructicola
- Evaluation of Heavy Metals and Microbiological Contamination of Selected herbals from Palestine
- The effect of size of black cherry stumps on the composition of fungal communities colonising stumps
- Effect of rhamnolipids on microbial biomass content and biochemical parameters in soil contaminated with coal tar creosote
- Effects of foliar trichomes on the accumulation of atmospheric particulates in Tillandsia brachycaulos
- Isolation and characterisation of the agarolytic bacterium Pseudoalteromonas ruthenica
- Comparison of soil bioconditioners and standard fertilization in terms of the impact on yield and vitality of Lolium perenne and soil biological properties
- Biomedical Sciences
- The number of regulatory B cells is increased in mice with collagen-induced arthritis
- Lactate overload inhibits myogenic activity in C2C12 myotubes
- Diagnostic performance of serum CK-MB, TNF-α and hs-CRP in children with viral myocarditis
- Correlation between PPARGC1A gene rs8192678 G>A polymorphism and susceptibility to type-2 diabetes
- Improving the Detection of Hepatocellular Carcinoma using serum AFP expression in combination with GPC3 and micro-RNA miR-122 expression
- The ratio of neutrophil to lymphocyte is a predictor in endometrial cancer
- Expression of HER2/c-erbB-2, EGFR protein in gastric carcinoma and its clinical significance
- Clinical significance of neuropeptide Y expression in pelvic tissue in patients with pelvic floor dysfunction
- Overexpression of RASAL1 indicates poor prognosis and promotes invasion of ovarian cancer
- The effect of adrenaline on the mineral and trace element status in rats
- Effects of Ischemic Post-Conditioning on the Expressions of LC3-II and Beclin-1 in the Hippocampus of Rats after Cerebral Ischemia and Reperfusion
- Long non-coding RNA DUXAP8 regulates the cell proliferation and invasion of non-small-cell lung cancer
- Risk factors of regional lymph node metastasis in patients with cervical cancer
- Bullous prurigo pigmentosa
- Association of HIF-1α and NDRG2 expression with EMT in gastric cancer tissues
- Decrease in the level of nervonic acid and increased gamma linolenic acid in the plasma of women with polycystic ovary syndrome after a three-month low-glycaemic index and caloric reduction diet
- Depletion of VAX2 restrains the malignant progression of papillary thyroid carcinoma by modulating ERK signaling pathway
- Insulin resistance is a risk factor for mild cognitive impairment in elderly adults with T2DM
- Nurr1 promotes lung cancer apoptosis via enhancing mitochondrial stress and p53-Drp1 pathway
- Predictive significance of serum MMP-9 in papillary thyroid carcinoma
- Agmatine prevents oxidative-nitrative stress in blood leukocytes under streptozotocin-induced diabetes mellitus
- Effect of platelet-rich plasma on implant bone defects in rabbits through the FAK/PI3K/AKT signaling pathway
- The diagnostic efficacy of thrombelastography (TEG) in patients with preeclampsia and its association with blood coagulation
- Value of NSE and S100 Protein of Kawasaki Disease with aseptic meningitis in Infant
- CB2 receptor agonist JWH133 activates AMPK to inhibit growth of C6 glioma cells
- The effects of various mouthwashes on osteoblast precursor cells
- Co-downregulation of GRP78 and GRP94 induces apoptosis and inhibits migration in prostate cancer cells
- SKA3 up-regulation promotes lung adenocarcinoma growth and is a predictor of poor prognosis
- Protective effects and mechanisms of microRNA-182 on oxidative stress in RHiN
- A case of syphilis with high bone arsenic concentration from early modern cemetery (Wroclaw, Poland)
- Study of LBHD1 Expression with Invasion and Migration of Bladder Cancer
- 1-Hydroxy-8-methoxy-anthraquinon reverses cisplatin resistance by inhibiting 6PGD in cancer cells
- Andrographolide as a therapeutic agent against breast and ovarian cancers
- Accumulation of α-2,6-sialyoglycoproteins in the muscle sarcoplasm due to Trichinella sp. invasion
- Astragalus polysaccharides protects thapsigargin-induced endoplasmic reticulum stress in HT29 cells
- IGF-1 via PI3K/Akt/S6K signaling pathway protects DRG neurons with high glucose-induced toxicity
- Intra-arterial tirofiban in a male nonagenarian with acute ischemic stroke: A case report
- Effects of Huaiqihuang Granules adjuvant therapy in children with primary nephrotic syndrome
- Immune negative regulator TIPE2 inhibits cervical squamous cancer progression through Erk1/2 signaling
- Asymptomatic mediastinal extra-adrenal paraganglioma as a cause of sudden death: a case Report
- Primary mucinous adenocarcinoma of appendix invading urinary bladder with a fistula: a case report
- Minocycline attenuates experimental subarachnoid hemorrhage in rats
- Neural Remodeling of the Left Atrium in rats by Rosuvastatin following Acute Myocardial Infarction
- Protective effects of emodin on lung injuries in rat models of liver fibrosis
- RHOA and mDia1 promotes apoptosis of breast cancer cells via a high dose of doxorubicin treatment
- Bacteria co-colonizing with Clostridioides difficile in two asymptomatic patients
- A allele of ICAM-1 rs5498 and VCAM-1 rs3181092 is correlated with increased risk for periodontal disease
- Treatment of hepatic cystic echinococcosis patients with clear cell renal carcinoma: a case report
- Edaravone exerts brain protective function by reducing the expression of AQP4, APP and Aβ proteins
- Correlation between neutrophil count and prognosis in STEMI patients with chronic renal dysfunction: a retrospective cohort study
- Bioinformatic analysis reveals GSG2 as a potential target for breast cancer therapy
- Nuciferine prevents hepatic steatosis by regulating lipid metabolismin diabetic rat model
- Analysis of SEC24D gene in breast cancer based on UALCAN database
- Bioengineering and Biotechnology
- Co-cultured Bone-marrow Derived and Tendon Stem Cells: Novel Seed Cells for Bone Regeneration
- Animal Sciences
- Comparative analysis of gut microbiota among the male, female and pregnant giant pandas (Ailuropoda Melanoleuca)
- Adaptive immunity and skin wound healing in amphibian adults
- Hox genes polymorphism depicts developmental disruption of common sole eggs
- The prevalence of virulence genes and multidrug resistance in thermophilic Campylobacter spp. isolated from dogs
- Agriculture
- Effect of Lactobacillus plantarum supplementation on production performance and fecal microbial composition in laying hens
- Identification of Leaf Rust Resistance Genes in Selected Wheat Cultivars and Development of Multiplex PCR
- Determining Potential Feed Value and Silage Quality of Guar Bean (Cyamopsis tetragonoloba) Silages
- Food Science
- Effect of Thermal Processing on Antioxidant Activity and Cytotoxicity of Waste Potato Juice