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Dead leaves of Musa spp. were collected from China and Thailand. Specimens were transferred to the laboratory in cardboard boxes. Samples were examined with a Motic SMZ 168 Series microscope. Powder like masses of conidia of hyphomycetous taxa on Musa samples were mounted in water for microscopic studies and photomicrography. The hyphomycetous taxa were examined using a Nikon ECLIPSE 80i compound microscope and photographed with a Canon 550D digital camera fitted to the microscope. Measurements were made with the Tarosoft (R) Image Frame Work program and images used for figures processed with Adobe Photoshop CS6 Extended version 12.0 software (Adobe, USA).
Single spore isolation was carried out following the method described in Senanayake et al. (2020). Germinated spores were individually transferred to potato dextrose agar (PDA) plates and grown at 25℃ in normal light. Colony characteristics were observed and measured after 3 weeks. The specimens are deposited at the Mae Fah Luang University (MFLU) Herbarium, Chiang Rai, Thailand. Living cultures are deposited at the Culture Collection of Mae Fah Luang University (MFLUCC). Faces of fungi numbers are registered as in Jayasiri et al. (2015).
DNA extraction and PCR amplification
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Fungal isolates derived from single spore cultures were grown on potato dextrose agar (PDA) for 4 weeks at 25℃ and the axenic mycelia (50–100 mg) of each isolate were scrapped off for DNA extraction purposes. Mycelia were ground to a fine powder with liquid nitrogen and fungal DNA was extracted using the Biospin Fungus Genomic DNA Extraction Kit–BSC14S1 (BioFlux®, P.R. China) according to the instructions of the manufacturer. Five gene regions were used for the polymerase chain reaction (PCR) amplification, including partial 18S small subunit rDNA (SSU), partial 28S large subunit rDNA (LSU), internal transcribed spacer (ITS), RNA polymerase II second largest subunit (RPB2) and partial translation elongation factor 1–alpha gene (TEF) using the primers NS1/NS4 (White et al. 1990), LR0R/LR5 (Vilgalys & Hester 1990), ITS5/ITS4 (White et al. 1990), fRPB2–5f/fRPB2–7cR (Liu et al. 1999) and EF1–983F/EF1–2218R (Rehner 2001), respectively.
The final volume of the PCR reaction was 25 μl, consisting of 2 μl of DNA template, 1 μl of each forward and reverse primer, 12.5 μl of 2×Easy Taq PCR SuperMix (mixture of EasyTaqTM DNA Polymerase, dNTPs, and optimized buffer, Beijing TransGen Biotech Co., Ltd., Beijing, P.R. China) and 8.5 μl of the sterilized double–distilled water (ddH2O). The thermal cycle programs were set up following the procedures described by Samarakoon et al.(2019, 2020b) for the respective genes. The amplified PCR fragments were sent to a commercial sequencing provider (TsingKe Biological Technology (Beijing) Co., Ltd, China) for PCR purification and sequencing. The Sanger DNA sequences obtained from this study were deposited in GenBank (Tables 1, 2).
Table 1. Taxa used in the phylogenetic analyses of Periconiaceae with the corresponding GenBank accession numbers. Type strains are superscripted with "T" and newly generated strains are indicated in black bold.
Taxa Culture collection/Voucher no. GenBank accession numbers LSU SSU ITS TEF Flavomyces fulophazii CBS 135761T KP184040 KP184082 KP184001 NA F. fulophazii MF09 MN515261 NA MN537663 MN535259 Helminthosporium H 4628 AB807521 AB797231 LC014555 AB808497 dalbergiae Massarina cisti CBS 266.62T AB807539 AB797249 NA AB808514 Noosia banksiae CPC: 17282 JF951167 NA JF951147 NA N. banksiae CBS 129526 MH878062 NA NA NA Periconia aquatica MFLUCC 16–0912T KY794705 NA KY794701 KY814760 P. byssoides MFLUCC 17–2292 MK347968 MK347858 MK347751 MK360069 P. byssoides MFLUCC 18–1548 MK348013 MK347902 MK347794 MK360070 P. caespitosa LAMIC_110_16 MH051907 NA MH051906 NA P. cortaderiae MFLUCC 15–0457T NG_068238 NG_068373 NR_165853 KY310703 P. cortaderiae MFLUCC 15–0451 KX954403 KX986346 KX965734 KY429208 P. cortaderiae MFLUCC 20–0236 MW406971 MW406969 MW406973 MW422156 P. cyperacearum CPC: 32138T NG_064549 NA NR_160357 MH327882 P. delonicis MFLUCC 17–2584T MK347941 MK347832 NA MK360071 P. delonicis MFLUCC 20–0235 MW406970 MW406968 MW406972 MW422155 P. digitata CBS 510.77 AB807561 AB797271 NA AB808537 P. epilithographicola CBS 144017T NA NA NR_157477 NA P. epilithographicola PL5–1B NA NA MF422162 NA P. homothallica HHUF 29105 NG_059397 NG_064851 NR_153446 AB808541 P. homothallica KT 916 AB807565 AB797275 AB809645 NA P. igniaria CBS 379.86 AB807566 AB797276 LC014585 AB808542 P. igniaria CBS 845.96 AB807567 AB797277 LC014586 AB808543 P. macrospinosa CBS 135663 KP184038 KP184080 KP183999 NA P. neobrittanica CPC 37903T NG_068342 NA NR_166344 NA P. palmicola MFLUCC 14–0400T NG_068917 MN648319 NA MN821070 P. pseudobyssoides DLUCC 0850 MG333494 NA MG333491 MG438280 P. pseudobyssoides H 4151 AB807568 AB797278 LC014587 AB808544 P. pseudobyssoides H 4790 AB807560 AB797270 LC014588 AB808536 P. pseudodigitata KT 644 AB807562 AB797272 LC014589 AB808538 P. pseudodigitata KT 1195A AB807563 AB797273 LC014590 AB808539 P. pseudodigitata KT 1395 AB807564 AB797274 LC014591 AB808540 P. salina MFLU 19–1235T MN017846 MN017912 MN047086 NA P. submersa MFLUCC 16–1098T KY794706 NA KY794702 KY814761 P. thailandica MFLUCC 17–0065T KY753888 KY753889 KY753887 NA Table 2. Taxa used in the phylogenetic analyses of Torulaceae with the corresponding GenBank accession numbers. Type strains are superscripted with "T" and newly generated strains are indicated in black bold.
Taxa Culture collection/Voucher no. ITS LSU SSU RPB2 TEF Dendryphion aquaticum MFLUCC 15–0257T KU500566 KU500573 KU500580 NA NA D. comosum CBS 208.69T MH859293 MH871026 NA NA NA D. europaeum CPC 23231 KJ869145 KJ869202 NA NA NA D. hydei KUMCC 18–0009T MN061343 MH253927 MH253929 NA NA Neotorula aquatica MFLUCC 15–0342T KU500569 KU500576 KU500583 NA NA N. submersa HKAS 92660 NR_154247 KX789217 NA NA NA Rostriconidium aquaticum KUMCC 15–0297 MG208165 MG208144 NA MG207975 MG207995 R. aquaticum MFLUCC 161113T MG208164 MG208143 NA MG207974 MG207994 R. pandanicola KUMCC 17–0176T MH275084 MH260318 MH260358 MH412759 MH412781 Roussoella nitidula MFLUCC 11–0182T KJ474835 KJ474843 NA KJ474859 KJ474852 R. scabrispora MFLUCC 11–0624T KJ474836 KJ474844 NA KJ474860 KJ474853 Roussoellopsis tosaensis KT 1659 NA AB524625 AB524484 AB539104 AB539117 Rutola graminis CPC 33267 MN313814 MN317295 NA NA NA R. graminis CPC 33695 MN313815 MN317296 NA NA NA R. graminis CPC 33715T MN313816 MN317297 NA NA NA Sporidesmioides thailandica MFLUCC 13–0840 MN061347 NG_059703 NG_061242 KX437761 KX437766 S. thailandica KUMCC 16–0012T MN061348 KX437758 KX437760 KX437762 KX437767 Thyridaria broussonetiae TB1 KX650569 NA KX650515 KX650586 KX650539 Thyridariella mahakoshae NFCCI 4215 MG020435 MG020438 MG020441 MG020446 MG023140 Th. mangrovei PUFD 17–98T MG020434 MG020437 MG020440 MG020445 MG020443 Torula acaciae CPC 29737T NR_155944 NG_059764 NA KY173594 NA T. aquatica DLUCC 0550 MG208166 MG208145 NA MG207976 MG207996 T. aquatica MFLUCC 16–1115T MG208167 MG208146 NA MG207977 NA T. breviconidiophora KUMCC 18–0130T MK071670 MK071672 MK071697 NA MK077673 T. camporesii KUMCC 19–0112T MN507400 MN507402 MN507401 MN507404 MN507403 T. chiangmaiensis KUMCC 16–0039T MN061342 KY197856 KY197863 NA KY197876 T. chromolaenae MFLUCC 20–0237 MW412524 MW412518 MW412515 MW422161 MW422158 T. fici CBS 595.96T KF443408 KF443385 KF443387 KF443395 KF443402 T. fici KUMCC 15–0428 MG208172 MG208151 NA MG207981 MG207999 T. fici KUMCC 16–0038 MN061341 KY197859 KY197866 KY197872 KY197879 T. fici MFLUCC 20–0238 MW412525 MW412519 MW412516 NA MW422159 T. gaodangensis MFLUCC 17–0234T MF034135 NG_059827 NG_063641 NA NA T. goaensis MTCC 12620T NR_159045 NG_060016 NA NA NA T. herbarum CPC 24414 KR873260 KR873288 NA NA NA T. hollandica CBS 220.69 NR_132893 NG_064274 KF443389 KF443393 KF443401 T. hydei KUMCC 16–0037T MN061346 MH253926 MH253928 NA MH253930 T. mackenziei MFLUCC 13–0839T MN061344 KY197861 KY197868 KY197874 KY197881 T. masonii CBS 245.57T NR_145193 NG_058185 NA NA NA T. masonii DLUCC 0588 MG208173 MG208152 NA MG207982 MG208000 T. masonii MFLUCC 20–0239 MW412523 MW412517 MW412514 MW422160 MW422157 T. pluriseptata MFLUCC 14–0437T MN061338 KY197855 KY197862 KY197869 KY197875 T. polyseptata KUMCC 18–0131T MK071671 MK071673 MK071698 NA MK077674 Abbreviations of culture collections: CBS: Westerdijk Fungal Biodiversity Institute, Utrecht, Netherlands. CPC: Working collection of Pedro Crous housed at CBS. DLUCC: Dali University Culture Collection, China. H: University of Helsinki, Helsinki, Finland. HKAS: Herbarium of Cryptogams, Kunming Institute of Botany, Academia Sinica, China. KT: K. Tanaka. LAMIC: Laboratorio Asociaciones suelo, planta microorganismos, Pontificia Universidad Javeriana, Bogotá, D.C., Colombia. MTCC: Microbial Type Culture Collection, CSIR–Institute of Microbial Technology, Sector 39–A, Chandigarh – 160036, India. KUMCC: Kunming Institute of Botany Culture Collection, China. MFLU: Mae Fah Luang University, Chiang Rai, Thailand. MFLUCC: Mae Fah Luang University Culture Collection, Chiang Rai, Thailand. NFCCI: National Fungal Culture Collection of India. NA: DNA sequence data are not available in GenBank. Sequence alignment
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Obtained sequences were subjected to BLASTn search tool in GenBank (https://blast.ncbi.nlm.nih.gov/Blast.cgi) for finding the closely related taxa. BLASTn search results and initial morphological studies have supported that our isolates belong to Periconiaceae and Torulaceae. Other sequences used in the analyses were obtained from GenBank (Tables 1, 2) based on recently published data (Jayasiri et al. 2019, Hongsanan et al. 2020, Hyde et al. 2020a, Li et al. 2020). The single gene alignments were automatically analysed by MAFFT v. 7.036 (http://mafft.cbrc.jp/alignment/server/large.html; Katoh et al. 2019) using the default settings and refined where necessary, using BioEdit v. 7.0.5.2 (Hall 1999). The single gene matrixes were prior analyzed by maximum likelihood (ML) criterion for checking the congruence of the tree topologies and if the tree topologies were congruent, the concatenated sequence dataset were performed for further analyses.
Phylogenetic analyses
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Phylogenetic analyses were preformed based on maximum likelihood (ML) and Bayesian inference (BI) criteria. The phylogenetic trees showing relationships of taxa in Periconiaceae and Torulaceae were generated separately. Data matrixes used in these analyses were followed as; Periconiaceae (Analysis 1): the combined SSU, LSU, ITS and TEF data matrix comprised 35 sequences of representative taxa in Periconiaceae. Helminthosporium dalbergiae (MAFF 243853) and Massarina cisti (CBS 266.62) were selected as outgroup taxa. Torulaceae (Analysis 2): the combined SSU, LSU, ITS, TEF and RPB2 matrix comprised 40 sequences of selected genera in Torulaceae. Taxa in Roussoellaceae were selected as the outgroup taxa viz. Roussoella nitidula (MFLUCC 11–0182), R. scabrispora (MFLUCC 11–0624) and Roussoellopsis tosaensis (KT 1659).
Maximum likelihood (ML) trees were generated using the RAxML–HPC2 on XSEDE (8.2.8) (Stamatakis et al. 2008, Stamatakis 2014) in the CIPRES Science Gateway platform (Miller et al. 2010) using GTR+I+G model of evolution and 1, 000 replicates of rapid bootstrap. Bayesian inference (BI) analysis was conducted with MrBayes v. 3.1.2 (Huelsenbeck & Ronquist 2001) to evaluate posterior probabilities (PP) (Rannala & Yang 1996, Zhaxybayeva & Gogarten 2002) by Markov Chain Monte Carlo sampling (BMCMC). Two parallel runs were conducted, using the default settings, but with the following adjustments: four simultaneous Markov chains were run for 2, 000, 000 generations (Analysis 1, 2) and trees were sampled every 100th generation and 20, 000 trees were obtained. The first 4, 000 trees, representing the burn–in phase of the analyses were discarded. The remaining 16, 000 trees were used for calculating PP in the 50% majority rule consensus tree.
Phylograms were visualized with FigTree v1.4.0 program (Rambaut 2011) and reorganized in Microsoft PowerPoint (2007, USA) and converted to jpeg file in Adobe Photoshop CS6 Extended version 12.0 software (Adobe, USA). The final trees and data matrixes were submitted in TreeBASE (https://www.treebase.org/), submission ID: 27468 for Periconiaceae and 27469 for Torulaceae.
Fungal collections, isolation and morphological characterization
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Many Torula and Periconia species have been reported on Musa spp. worldwide. Torula herbarum has been reported on Musa spp. from Papua New Guinea, Somalia, Taiwan (China), Thailand, and Zambia (Castellani & Ciferri 1937, Riley 1956, Matsushima 1971, 1980, Photita et al. 2001a, 2003b). Periconia byssoides (Venezuela, Cuba, and Somalia) (Matsushima 1971, Urtiaga 1986, Delgado–Rodriguez & Mena–Portales 2004), P. digitata (Thailand, Malaysia) (Williams & Liu 1976, Photita et al. 2001b), P. lateralis (Thailand) (Photita et al. 2001b) and P. minutissima (Ghana) (Hughes 1953) have also been reported on Musa spp. The identification of the latter taxa on Musa spp. was solely based on morphology and molecular data were not integrated. Therefore, more taxon sampling of saprobic and endophytic fungi on Musa spp. should be carried out by integrating morpho–molecular data in taxonomy.
Some Periconia species have been reported as plant pathogens (i.e., P. cicirnata, P. digitata and P. macrospinosa) on leaves, roots and stems of economically important crops such as maize, sorghum and pointed gourd (Stojkov et al. 1996, Sarkar et al. 2019). In addition, P. keratitis has been reported as a human pathogen from India (Gunasekaran et al. 2020). Periconia produce some economically important bioactive compounds with antimicrobial activities (Kim et al. 2004, Bhilabutra et al. 2007, Hongsanan et al. 2020). It is interesting to note that P. delonicis and P. cortaderiae may also produce bioactive compounds which were discovered from taxa in the same genus. In addition, some species of Torula also produce chemically active compounds (i.e., Dichlorinated Aromatic Lactones and erythritol) which have a wide range of applications in the food industry (Chunyu et al. 2018). Mapook et al. (2020) also reported that T. chromolaenae, T. fici and T. polyseptata showed antimicrobial activity against Bacillus subtilis, Escherichia coli and Mucor plumbeus on their preliminary screening of antimicrobial activity of fungi on Chromolaena odorata. Therefore, it will be interesting to know whether T. chromolaenae and T. fici from Musa spp. will have the same biological ability.
Recent taxonomic studies integrated DNA sequence data on the introduction of novel taxa in Periconia and Torula (Crous et al. 2015, Su et al. 2016, 2018, Li et al. 2017, 2020, Liu et al. 2017, Jayasiri et al. 2019, Hyde et al. 2020a, Mapook et al. 2020, Phukhamsakda et al. 2020). Protein– coding genes revealed to be good phylogenetic markers in species delineation of Periconia and Torula (Su et al. 2016, 2018, Li et al. 2017, 2020, Jayasiri et al. 2019, Hyde et al. 2020a, Mapook et al. 2020, Phukhamsakda et al. 2020). Corresponding protein–coding sequences (RPB2 and TEF) with ribosomal DNA (SSU, LSU and ITS) sequence dataset can provide well–resolved tree topologies for the taxa in Periconiaceae and Torulaceae. However, several taxa of Periconiaceae and Torulaceae lack protein–coding DNA sequences in GenBank. Therefore, many Periconia and Torula taxa need to be recollected so that valid sequence data are provided to GenBank for better taxonomic resolutions.
Phylogenetic tree of Periconiaceae (Fig. 1) showed that Periconia delonicis does not form a well–separated clade with P. palmicola (MFLUCC 14-0400) and P. verrucosa (MFLUCC 17-2158). The tree topology showed that they are conspecific, and this result is also supported by a nucleotide base comparison of ITS and TEF regions. However, P. delonicis is phylogenetically well–resolved and is distinct from P. verrucosa in Phukhamsakda et al. (2020), indicating that ITS and TEF regions are not good phylogenetic markers for some species in Periconiaceae. Periconia delonicis was not included in phylogenetic analyses of Periconiaceae when Hyde et al. (2020a) introduced P. palmicola as a new species. The conspecific of P. delonicis and P. palmicola is therefore questionable and should be reinvestigated in future studies.
Phylogenetic tree of Torulaceae (Fig. 2) showed that Torula chromolaenae, T. fici and T. masonii form well–resolved subclades within Torulaceae. However, the four strains (including type strain) of T. fici and T. masonii formed insignificantly separated branch lengths in this analysis and this phylogenetic result is also supported by Hongsanan et al. (2020), Hyde et al. (2020a), Li et al. (2020), Mapook et al. (2020) and Phukhamsakda et al. (2020). This may be the result of a high variation (> 1.5%) in the TEF region (see notes under T. fici and T. masonii). Further studies on the conspecific or complexity of these species are needed for their clarification based on the reliable protein coding genes.
Documentation of fungi from new hosts and geographical locations supports the accurate estimates and taxonomic establishments of fungal diversity and distribution. In addition, new occurrences of fungi from various hosts and habitats further provide insights to determine host jumping patterns, host shift speciation and the adaptations of fungi during their life cycle (Hyde et al. 2020c). Taxonomy and phylogeny of fungal pathogens on Musa spp. (i.e., Colletotrichum, Fusarium, Mycosphaerella, Neocordana and Phyllosticta) have been well–studied worldwide (Giatgong 1980, Wulandari et al. 2010, Churchill 2011, Guarnaccia et al. 2017, Marin–Felix et al. 2019, Maryani et al. 2019). The detailed taxonomic works on endophytic fungi in Musa spp. were previously conducted by Brown et al. (1998), Photita et al.(2001b, 2004), Zakaria & Aziz (2018) and Samarakoon et al. (2019). Still the saprobic fungal niches on Musa spp. remain unrevealed and many more taxa are yet to be discovered. Hence the morpho–molecular data of this study will be further useful in future taxonomic works of fungi.
BC Samarakoon, R Phookamsak, SC Karunarathna, R Jeewon, P Chomnunti, JC Xu, YJ Li. 2021. New host and geographic records of five pleosporalean hyphomycetes associated with Musa spp. (Banana). Studies in Fungi 6(1):92-115 doi: 10.5943/sif/6/1/5 |