| Literature DB >> 27920761 |
Rahul Sharma1, Om Prakash1, Mahesh S Sonawane1, Yogesh Nimonkar1, Priyanka B Golellu2, Rohit Sharma1.
Abstract
Soda lake is hyper alkaline and saline habitat located in closed craters with high evaporation rate. In current study fungal diversity from water and sediment samples of a soda lake (Lonar lake) located in Buldhana district of Maharashtra, India was investigated using extensive culturomics approach and mimicking the natural conditions of Lonar lake in culture media. A total of 104 diverse isolates of extremophilic fungi were recovered from this study and phylogenetically characterized by internal transcribed spacer (ITS) region sequencing. In addition, due to important role of phenol oxidase, and peroxidase in degradation of toxic phenol, lignin, etc., all isolated pure cultures were also screened for extracellular phenol oxidase and peroxidase production potential. Diversity analysis indicated that different groups of extremophilic fungi are present in the water and sediment samples of Lonar lake. A total of 38 species of fungi belonging to 18-different genera were recovered. Out of 104 isolates 32 showed ≤97% sequences similarity, which were morphologically different and could be potential novel isolates of extremophilic fungi. However, out of 104 isolates only 14 showed the extracellular phenol oxidase production potentials at alkaline pH. Curvularia sp. strain MEF018 showed highest phenol oxidase production at alkaline condition and had low sequence similarity with previously characterized species (96% with Curvularia pseudorobusta). Taxonomic characterization (morphological and physiological) and multi locus sequence analysis (MLSA) using combined alignment of ITS-LSU-gpd of strain MEF018 showed that it is a novel species of the genus Curvularia and hence proposed as Curvularia lonarensis sp. nov.Entities:
Keywords: Curvularia; extremophilic fungi; fungal diversity; lonar lake; phenol oxidase; soda lake
Year: 2016 PMID: 27920761 PMCID: PMC5118452 DOI: 10.3389/fmicb.2016.01847
Source DB: PubMed Journal: Front Microbiol ISSN: 1664-302X Impact factor: 5.640
Figure 1(A) Google image of Lonar lake and its location on Indian map (modified from google maps) (Map data: Google, DigitalGlobe). (B) Schematic representation of lake and details of sampling strategy.
Quantification of chemical parameters of Lonar lake sediments (figures in bold shows values of important parameters).
| 1 | Total Dissolved Solids @ 105°C (TDS) | 1.0374 |
| 2 | Total Organic Carbon (TOC) | 0.2527 |
| 3 | Total Kjeldhal Nitrogen (TKN) | 0.193 |
| 4 | Total Phosphorus (P) as | 3.0628 |
| 5 | Nitrates ( | 0.7913 |
| 6 | ||
| 7 | Carbonates ( | 0.2295 |
| 8 | Chlorides (Cl−) | 0.2093 |
| 9 | Ammonia (NH3) | 0.0253 |
| 10 | Sulfates ( | 0.0533 |
| 11 | ||
| 12 | Cobalt as Co | 0.001964 |
| 13 | Nickel (Ni) | 0.000941 |
| 14 | Boron as B | 0.00123 |
| 15 | ||
| 16 | Potassium as K | 0.0479 |
| 17 | ||
| 18 | Copper as Cu | 0.0053 |
Data taken from Antony et al. (.
List of all the isolated fungi from Lonar lake with their closest relative in GenBank database and their specific feature reported in literature (figures in bold shows less sequence similarity of probable novel isolates).
| MEF004 (KT315397) | 95 | Alkaline soil near Karakul lake, Russia | NA | ||
| MEF006 (KT315398) | 94 | 99 | Alkaline soil near Karakul lake, Russia | NA | |
| MEF007 (KT315399) | 100 | 99 | Water hyacinth, | Pathogenic to water-hyacinth | |
| MEF008 (KT315400) | 96 | 99 | Soil, Braunschweig, Germany | Mycotoxin production | |
| MEF009 (KT315401) | 94 | Soil, China (using low carbon medium) | NA | ||
| MEF010 (KT315402) | 100 | 99 | Coastal sand under | Isolation of Acremine and Heptapeptides | |
| MEF011 (KT315403) | 94 | Alkaline soil near Karakul lake, Russia | NA | ||
| MEF013 (KT315404) | 94 | 99 | Alkaline soil near Karakul lake, Russia | NA | |
| MEF015 (KT315405) | 98 | 99 | Flower of | NA | |
| MEF016 (KT315406) | 90 | Soil, China (using low carbon medium) | NA | ||
| MEF017 (KT315407) | 100 | 99 | Stalk, | NA | |
| MEF018 (KT315408) | 100 | An undetermined plant of Poaceae, Guangxi, Beihai, China | NA | ||
| MEF019 (KT315409) | 100 | 99 | Coastal sand under | Isolation of Acremine and Heptapeptides | |
| MEF020 (KT315410) | 100 | 99 | Coastal sand under | Isolation of Acremine and Heptapeptides | |
| MEF021 (KT315411) | 99 | ||||
| MEF022 (KT315412) | 98 | 99 | Coastal sand under | Isolation of Acremine and Heptapeptides | |
| MEF040 (KT315413) | 100 | 100 | Leaf of | ||
| MEF041 (KT315414) | 100 | 98 | Soil, terracotta gravene, China | Bioremediation of natural oil spills or other contaminants in tropical environments | |
| MEF043 (KT315415) | 93 | 99 | Alkaline soil near Karakul lake, Russia | NA | |
| MEF044 (KT315416) | 79 | Alkaline soil near Karakul lake, Russia | NA | ||
| MEF045 (KT315417) | 100 | 100 | NA | NA | |
| MEF046 (KT315418) | 100 | 99 | NA | ||
| MEF047 (KT315419) | 97 | 99 | Soil under | NA | |
| MEF048 (KT315420) | 100 | 100 | Leaf of | NA | |
| MEF050 (KT315421) | 98 | 98 | Necrotic needles of | NA | |
| MEF051 (KT315422) | 100 | 100 | NA | NA | |
| MEF053 (KT315424) | 99 | 99 | NA | Calmodulin | |
| MEF054 (KT315425) | 99 | 99 | Human lesion, New York, USA | Causes invasive pulmonary aspergillosis, producer of hepatotoxic and carcinogenic mycotoxin sterigmatocystin, xylanase, xanthones, fellutamides, and anthraquinone | |
| MEF055 (KT315426) | 98 | 99 | Chestnut seed | Sterigmatocystin | |
| MEF056 (KT315427) | 100 | 99 | Leaves of | NA | |
| MEF058 (KT315428) | 100 | 100 | Flower of | NA | |
| MEF059 (KT315429) | 100 | NA | |||
| MEF061 (KT315430) | 92 | 99 | Alkaline soil near Karakul lake, Russia | NA | |
| MEF063 (KT315432) | 99 | 98 | Human lesion, New York, USA | Causes invasive pulmonary aspergillosis, producer of hepatotoxic and carcinogenic mycotoxin sterigmatocystin, xylanase, xanthones, fellutamides, and anthraquinone | |
| MEF064 (KT315433) | 93 | Dead barley leaf, East Azerbaijan, Sarab, Iran | NA | ||
| MEF066 (KT315434) | 96 | 99 | Calmodulin | ||
| MEF067 (KT315435) | 94 | 99 | NA | ||
| MEF068 (KT315436) | 99 | 99 | Necrotic needles of | NA | |
| MEF069 (KT315437) | 95 | 99 | Alkaline soil near Karakul lake, Russia | NA | |
| MEF070 (KT315438) | 97 | 99 | Old leaf, infested with | NA | |
| MEF071 (KT315439) | 93 | 99 | NA | Several human diseases, including aspergillosis, onychomycosis, and keratomycosis. Several indole alkaloids, Cyclotryprostatin E | |
| MEF073 (KT315440) | 95 | 99 | Hyper saline water of salterns, Namibia | Also isolated from bathrooms and dolphin skin | |
| MEF078 (KT315441) | 90 | Desert soil, Tassili, Algeria | Phytopathogens as well as opportunistic pathogens on human and animals | ||
| MEF079 (KT315442) | 100 | 100 | Flower of | NA | |
| MEF082 (KT315443) | 100 | 99 | NA | ||
| MEF091 (KT315444) | 99 | 99 | Flower of | NA | |
| MEF095 (KT315445) | 100 | 100 | NA | ||
| MEF101 (KT315446) | 99 | Given acc no represents | |||
| MEF102 (KT315447) | 96 | NA | NA | ||
| MEF103 (KT315448) | 96 | NA | NA | ||
| MEF104 (KT315449) | 96 | NA | NA | ||
| MEF105 (KT315450) | 97 | 99 | NA | several human diseases, including aspergillosis, onychomycosis, and keratomycosis. Several indole alkaloids, Cyclotryprostatin E | |
| MEF106 (KT315451) | 100 | 99 | Soil, Braunschweig, Germany | Mycotoxin production, | |
| MEF109 (KT315453) | 96 | NA | |||
| MEF110 (KT315454) | 99 | 98 | Soil, Braunschweig, Germany | Mycotoxin production | |
| MEF111 (KT315455) | 95 | 99 | Hyper saline water of salterns, Namibia | Also isolated from bathrooms and dolphin skin | |
| MEF112 (KT315456) | 100 | 99 | Necrotic root, | Lymphoblastic non Hodgkin's lymphoma, bioherbicide | |
| MEF113 (KT315457) | 100 | 99 | Spikelet disease to plant | ||
| MEF115 (KT315458) | 100 | 99 | Soil, Braunschweig, Germany | Mycotoxin production | |
| MEF116 (KT315459) | 99 | NA | NA | ||
| MEF117 (KT315460) | 100 | 100 | NA | NA | |
| MEF118 (KT315461) | 99 | Stem, | NA | ||
| MEF119 (KT315462) | 100 | 100 | Cheese, Connecticut, Stovis, USA | NA | |
| MEF121 (KT315463) | 100 | NA | NA | ||
| MEF122 (KT315464) | 100 | NA | |||
| MEF123 (KT315465) | 99 | Dune sand under | Antimicrobial metabolites | ||
| MEF124 (KT315466) | 100 | 99 | Soil under | NA | |
| MEF125 (KT315467) | 97 | 99 | NA | Several human diseases, including aspergillosis, onychomycosis, and keratomycosis. Several indole alkaloids, Cyclotryprostatin E | |
| MEF126 (KT315468) | 100 | 99 | Spikelet disease to plant | ||
| MEF127 (KT315469) | 100 | NA | |||
| MEF128 (KT315470) | 100 | 99 | Spikelet disease to plant | ||
| MEF129 (KT315471) | 100 | NA | |||
| MEF130 (KT315472) | 100 | 99 | Cheese, Connecticut | Also found on salted food products, produces penicillin and xanthocillin X | |
| MEF131 (KT315473) | 100 | 100 | Cheese, Connecticut | Also found on salted food products, produces penicillin and xanthocillin X | |
| MEF132 (KT315474) | 100 | 100 | Cheese, Connecticut | Also found on salted food products, produces penicillin and xanthocillin X | |
| MEF133 (KT315475) | 100 | NA | NA | ||
| MEF134 (KT315476) | 97 | NA | NA | ||
| MEF135 (KT315477) | 100 | 99 | Soil, terracotta gravene, China | Bioremediation of natural oil spills or other contaminants | |
| MEF136 (KT315478) | 100 | 99 | Soil, terracotta gravene, China | Bioremediation of natural oil spills or other contaminants | |
| MEF137 (KT315479) | 100 | 100 | NA | NA | |
| MEF138 (KT315480) | 100 | NA | NA | ||
| MEF140 (KT315481) | 100 | Hyper saline water of salterns, Namibia | Also isolated from bathrooms and dolphin skin | ||
| MEF141 (KT315482) | 100 | NA | NA | ||
| MEF142 (KT315483) | 97 | NA | NA | ||
| MEF147 (KT315484) | 91 | Hyper saline water of salterns, Namibia | Also isolated from bathrooms and dolphin skin | ||
| MEF148 (KT315485) | 100 | 99 | Soil, terracotta gravene, China | Bioremediation of natural oil spills or other contaminants | |
| MEF156 (KT315486) | 100 | 100 | NA | Human diseases like aspergillosis, onychomycosis, and keratomycosis. Produces indole alkaloids, Cyclotryprostatin E | |
| MEF158 (KT315487) | 100 | 99 | Spikelet disease to plant | ||
| MEF159 (KT315488) | 100 | 99 | NA | ||
| MEF161 (KT315489) | 99 | 98 | Soil, Braunschweig, Germany | Mycotoxin production | |
| MEF166 (KT315490) | 97 | 99 | Froidchapelle, Belgium | Lipopeptide antifungal drug, causative agent of aspergillosis in humans and animals | |
| MEF170 (KT315491) | 100 | 100 | Hyper saline water of salterns, Namibia | Also isolated from bathrooms and dolphin skin | |
| MEF174 (KT315492) | 98 | 99 | Soil, Connecticut | Produces hydroxylates aniline, antiviral agent, LL-S88 alpha, exo-1,4-beta-D-xylosidase beta-xylosidase, itaconic acid and cis-aconitic acid | |
| MEF176 (KT315493) | 100 | NA | NA | ||
| MEF177 (KT315494) | 100 | NA | NA | ||
| MEF178 (KT315495) | 98 | NA | NA | ||
| MEF179 (KT315496) | 96 | 98 | Soil, China | Agent of fungal sinusitis, Onychomycosis | |
| MEF180 (KT315497) | 100 | 99 | Necrotic root, | Lymphoblastic non Hodgkin's lymphoma, bioherbicide | |
| MEF181 (KT315498) | 100 | 99 | Soil, Braunschweig, Germany | Mycotoxin production | |
| MEF190 (KT315499) | 100 | 100 | NA | ||
| MEF191 (KT315500) | 100 | 99 | Soil, Braunschweig, Germany | Mycotoxin production | |
| MEF194 (KT315501) | 100 | 100 | NA | NA | |
| MEF197 (KT315502) | 100 | 99 | Soil, Braunschweig, Germany | Mycotoxin production | |
| MEF201 (KT315503) | 95 | 99 | Hyper saline water of salterns, Namibia | Also isolated from bathrooms and dolphin skin |
Figure 2Phylogenetic tree constructed using ITS sequences of 104 isolated strains of fungi along with homologous sequences from type strains of closest match in GenBank. The evolutionary history was inferred using the neighbor-joining method. The optimal tree with the sum of branch length = 3.96668506 is shown. The evolutionary distances were computed using the Kimura 2-parameter method (Kimura, 1980) and are in the units of the number of base substitutions per site. The analysis involved 139 nucleotide sequences. There were a total of 659 positions in the final dataset. Evolutionary analyses were conducted in MEGA5 (Tamura et al., 2011). ( Psathyrellaceae; Pleosporaceae; Trichocomaceae; Davidiellaceae; Lasiosphaeriaceae Amphisphaeriaceae; Plectosphaerellaceae; Hypocreaceae; Nectriaceae).
Figure 3Maximum Likelihood (ML) tree of the . Bootstrap support of branches indicated on the node was obtained using 1000 replicates. Only statistically significant bootstrap values (≥50%) are indicated. Branch lengths are indicated as 0.01 substitutions per positions according to the scale bar underneath the tree. Number on right side of species name denotes the strain number/ culture collection accession number. Number in parentheses denotes accession number of the sequence deposited to online database.
Statistics resulting from phylogenetic analyses of ITS, LSU, and .
| LSU | 74 | 852 | 28 | 808 | 44 | 16 |
| ITS | 82 | 783 | 197 | 477 | 284 | 85 |
| 79 | 564 | 212 | 327 | 237 | 25 | |
| LSU-ITS- | 82 | 2203 | 437 | 1612 | 565 | 126 |
ITS, internal transcribed spacers and intervening 5.8 S nrDNA; LSU, large subunit; gpd, partial glyceraldehyde-3-phosphate dehydrogenase gene.
characters including base pairs and gaps.
Nucleotide substitution mode- Kimura 2-parameter model; Statistical Method- Maximum Likelihood; Phylogeny Test- Bootstrap method.
Figure 4(A) Colony morphology of Curvularia lonarensis strain MEF018 on OA; (B–E) Morphology of conidia as captured by DIC imaging showing ornamentation on all cells of conidia (Scale bars: B–E = 10 μm); (F–K) Structural features of conidia and conidiophores of Curvularia lonarensis strain MEF018 as depicted during light microscopic imaging. (scale bars: F–K = 20 μm).
Comparison of morphological characters of .
| Colony morphology | Centre- dark green- black | Centre- dark green | Centre- pale gray |
| Margin- pale colored, | Margin- olive to white | Margin- dark olive | |
| Reverse- blackish | Reverse- olive-dark green | Reverse- olivaceous-black | |
| Vegetative hyphae size | Smooth-walled, 4 μm (3.2– 4.9 μm) wide | Smooth- slightly asperulate, 1.5–5 μm wide | Smooth-walled, 1.5–5 μm wide |
| Conidial Structure | No. of Cell- 4 | No. of Cell- 4–5 | No. of Cell- 4 |
| Size- 25 μm (19–30) × 13 μm (11–15) | Size- 18–30 × 7–14 μm | Size- 17–26 × 8.5–12 μm | |
| Intermediate cells- usually finely verruculose and dark brown | Intermediate cells- usually verruculose and darker, brown | Intermediate cells- usually verruculose, dark brown | |
| End Cells- paler and ornamented | End Cells- subhyaline- pale brown, smooth-walled | End Cells- paler and smooth-walled or less ornamented | |
| Structure of conidiophores | Size- 167.4 μm (40– 306.5) × 5 μm (4.4– 6.2) | Size 55–325 × 2–5 μm | Size- 21.5–398 × 2–5 μm |
| Intercalary swellings- 4.8 μm (3.9–6) | - | Intercalary swellings- 9.5 μm | |
| Conidiogenous cells | Intercalary conidiogenous cells 4.6–21 μm × 3.4–5.7 μm | Intercalary conidiogenous cells 6–26 × 4–9 μm | Intercalary conidiogenous cells 5–18 μm |
| Terminal conidiogenous cells 8.3–14.7 μm | Terminal conidiogenous cells 5–25 μm | ||
| Temp. optima | 30°C | 25°C | 24°C |
| Sexual morph | Not observed | Not observed | Not observed |
Comparison of present and previous fungal studies on Soda lake around the world.
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| – | – | |
| Total strains: 490 | Total strains: 100 | Total strains: 104 |
Genera mentioned in the bold face are first time reported from hyper alkaline and saline habitat during this study.
Figure 5Schematic representation of placement of 104 isolates belonging to 38 species derived from ITS sequences of fungi from Lonar lake, Buldhana, Maharashtra, India. Classification follows Hibbett et al. (2007). All isolates belong to Ascomycota except 2% belonging to Basidiomycota. The isolates of Ascomycota are distributed among three classes, Sordariomycetes, Dothideomycetes, and Eurotiomycetes. Percentages indicate the total number of isolates out of the 104 isolated fungi.
Fungal species isolated from various hyper alkaline and hyper saline environments around world with the data on the habitats they were isolated from.
| Manure | alkaliphilic | |
| Kuchiger area, Trans-Baikal, Russia | 9 | |
| Saline soil, Lake Baikal basin, Russia | alkaliphilic | |
| Near Alla River, Trans-Baikal, Russia | 8 | |
| Alkaline limestone caves, Japan; Grassland, Indonesia; Orongoyskoe Lake, Kulunda Steppe, Altai, Russia; Aral Lake, Kazakhstan/ Uzbekistan | 7.8–10.3 | |
| Lake of Solyonoe, Zheltir, Bezimyannoe, Glauberovoe, Kulunda Steppe, Russia | 9.5–10 | |
| Petuchovskoe Lake, Kulunda Steppe, Altai, Russia | 10.1 | |
| Tanatar Lake and Uzkoe Lake, Kulunda Steppe, Altai, Russia | 9.8–10.2 | |
| Tanatar Lake, Kulunda Steppe, Altai, Russia | ||
| Petuchovskoe Lake, Kulunda Steppe, Altai, Russia | 9.9 | |
| Shukurtuz Lake, Kulunda Steppe, Altai, Russia | 9.9 | |
| Solyonoe Lake, Kulunda Steppe, Altai, Russia | 10 | |
| Soil samples | 9–9.5 | |
| Lake of Uzkoe, Solyonoe, Bezimyannoe, Karakul, Petuchovskoe, Berdabay, Kulunda Steppe, Altai, Russia; Nuhe-Nur Lake, Trans-Baikal, Russia; Bayan-Zag area, North Gobi, Mongolia; Aral Lake, Kazakhstan | 8.9–10.1 | |
| Near Alla River, Trans-Baikal, Russia | 8 | |
| Lake of Berdabay, Bezimyannoe, Mirabilit, Noname (near Sazadi Lake), Solyonoe, Shukurtuz, Tanatar, Zheltir, Kulunda Steppe, Altai, Russia; Nuhe-Nur Lake and Sulfatnoe Lake, Trans-Baikal, Russia; Choibalsan, North-East Mongolia | 9.5–11 | |
| Sea water | – | |
| Mangrove water | – | |
| Sea water | 8.3 | |
| Soil samples | 10.4 | |
| Soil | 11 | |
| Soil | 11 | |
| Soda lake | ||
| Aral Lake, Kazakhstan; Alkaline limestone caves, Japan; Grassland, Indonesia | 8 | |
| Alkaline limestone caves, Japan; Grassland, Indonesia | alkaline medium | |
| Choibalsan area, North-East Mongolia Burd Lake | 10.1 | |
| 11 | ||
| Trans-Baikal, Russia Sulfatnoe Lake | 8.1 | |
| Alkaline limestone caves, Japan; Grassland, Indonesia | alkaline medium | |
| Petuchovskoe Lake, Belen'koe Lake, noname lake and Tanatar Lake Kulunda Steppe, Altai, Russia; Ulan-Nur Lake, North Gobi, Mongolia | 7.8–10.1 | |
| Nuhe-Nur Lake, Trans-Baikal, Russia | 10.1 | |
| Aral Lake, Kazakhstan Aktumsyk Cape | 8.3 | |
| Mirabilit Lake, Kulunda Steppe, Altai, Russia; Kuchiger, Trans-Baikal, Russia | 8–9.7 | |
| Trans-Baikal, Russia Kuchiger | 9 | |
| Lake of Bezimyannoe, Tanatar, Karagay, Gorkoye, Petuchovskoe, Solyonoe, Karakul, Mirabilit, Kulunda Steppe, Altai, Russia; Low-salt soda lake, Steppe, Chitinskaya area, Russia; Soda soil, Natron Lake, Tanzania; Barun-Undziyn Lake, North-East Mongolia; Bayan-Zag area, North Gobi, Mongolia; Shar-Burdiyn Lake, Choibalsan area, North-East Mongolia | 9.2–10.7 | |
| Soda soil, Magadi Lake, Kenya | 11 | |
| Soda soil, Magadi Lake, Kenya | ||
| Lake of Holvo-Torum, Orongoyskoe, Russia; Yeraskhahun, Armenia | 9.2–10.2 | |
| Trans-Baikal, Russia | 7.6–8.2 |
(Grum-Grzhimaylo et al., 2016);
(Grum-Grzhimaylo et al., 2013a);
(Nagai et al., 1995, 1998);
(Georgieva et al., 2012);
(Johnson, 1923);
(Okada et al., 1993); (Liu et al., 2009);
(Zak and Wildman, 2004);
(Horikoshi, .