Rhizospheric soil fungal community patterns of Duchesnea indica in response to altitude gradient in Yunnan, southwest China.

The magnitude of the impact of altitude gradient on microbial community and diversity has been studied in recent decades. Whereas bacteria have been the focus of most studies, fungi have been given relatively less attention. As a vital part of the macro- and microscopic ecosystem, rhizosphere fungi play a key role in organic matter decomposition and relative abundance of plant species and have an impact on plant growth and development. Using Duchesnea indica as the host plant, we examined the rhizosphere soil fungal community patterns across the altitude gradient in 15 sites of Yunnan province by sequencing the fungal ITS2 region with the Illumina MiSeq platform. We determined the fungal community composition and structure. We found that, surprisingly, rhizosphere soil fungal diversity of D. indica increased with altitudinal gradient. There was a slight difference in diversity between samples from high- and medium-altitude sites, with medium-altitude sites having the greater diversity. Furthermore, the rhizosphere soil fungal community composition and structure kept changing along the altitudinal gradient. Taxonomic results showed that the extent of phylum diversity was greatest at high-altitude sites, with Ascomycota, Basidiomycota, Zygomycota, and Glomeromycota as the most dominant fungal phyla.

Investigation and analysis of microbiological communities in natural Ophiocordyceps sinensis.

Ophiocordyceps sinensis is a fungus that parasitizes caterpillars, and more than 30 species of filamentous fungi have been isolated from its fruiting body. However, its microbiological diversity remains unclear. Based on the clone library and quantitative PCR techniques, the bacterial flora and mycobiota of 3 different samples (larva, stromata/sclerotia, and surface soil) from natural O. sinensis specimens were investigated using primer sets that targeted the 16S rRNA gene and internal transcribed spacer region of ribosomal DNA. The results showed that the abundance of bacterial and fungal communities in the soil attached to the surface of O. sinensis was (6.4 ± 1.4) × 10(6) and (6.0 ± 0.3) × 10(7) copies/g dry matter, respectively, which was the highest compared with that in the larva and stromal samples. The main groups of bacteria in the O. sinensis samples were Proteobacteria and Actinobacteria, while Ascomycota was the most dominant fungal group in the 3 samples. At the genus level, Geomyces, Phoma, and Trichocladium were the dominant genera in the larval sample, while Geomyces and Cladosporium were the dominant genera in the stromal sample. In conclusion, a great number of bacterial and fungal species were present in naturally occurring O. sinensis specimens, and there was a high diversity of bacterial and fungal communities. These findings contribute to the understanding of the bacterial and fungal community structure of this valuable medicinal fungus and lay the foundation for the future discovery of new medicinal microorganism resources.

Genetic Variation among the Partial Gene Sequences of the Ribosomal Protein Large-Two, the Internal Transcribed Spacer, and the Small Ribosomal Subunit of Blastocystis sp. from Human Fecal Samples.

In the present study, we compared the genetic variability of fragments from the internal transcribed spacer region (ITS) and the small subunit ribosomal DNA (SSUrDNA) as nuclear markers, in contrast with the ribosomal protein large two (rpl2) loci, placed in the mitochondrion-related organelles (MROs) within and among human fecal samples with Blastocystis. Samples were analyzed using polymerase chain reaction (PCR)-sequencing, phylogenies, and genetics of population structure analyses were performed. In total, 96 sequences were analyzed, i.e., 33 of SSUrDNA, 35 of rpl2, and 28 of ITS. Only three subtypes (STs) were identified, i.e., ST1 (11.4%), ST2 (28.6%), and ST3 (60%); in all cases, kappa indexes were 1, meaning a perfect agreement among ST assignations. The topologies of phylogenetic inferences were similar among them, clustering to each ST in its specific cluster; discrepancies between phylogeny and assignment of STs were not observed. The STRUCTURE v2.3.4 software assigned three subpopulations corresponding to the STs 1-3, respectively. The population indices were consistent with those previously reported by other groups. Our results suggest the potential use of the ITS and rpl2 genes as molecular markers for Blastocystis subtyping as an alternative approach for the study of the genetic diversity observed within and between human isolates of this microorganism.

Five new Penicillium species in section Sclerotiora: a tribute to the Dutch Royal family.

Current literature accepts 17 species in Penicillium section Sclerotiora. Several produce colonies in bright yellow to orange colours and have monoverticillate conidiophores, apart from P. herquei, P. malachiteum and P. nodositatum, which are biverticillate. The focus of this paper is to refine the concepts of the species currently accepted in the section and introduce five new species, named after the Dutch Royal family as P. vanoranjei, P. maximae, P. amaliae, P. alexiae and P. arianeae. Penicillium vanoranjei produces orange (Dutch = oranje) colonies in culture, and is named after Willem-Alexander Claus George Ferdinand, 'Zijne Koninklijke Hoogheid de Prins van Oranje' (translated from Dutch as: 'His Royal Highness the Prince of Orange') and his family, to coincide with his coronation. We review the current taxonomic positions of P. lilacinoechinulatum and P. nodositatum, both currently considered to be synonyms of P. bilaiae. Sequence data generated in this study show that both species are phylogenetically distinct. Penicillium lilacinoechinulatum is closely related to P. amaliae sp. nov., whereas P. nodositatum does not belong to Penicillium sensu stricto. All species were compared morphologically and phylogenetically, based on ß-tubulin and calmodulin DNA data. A table summarising the morphological characters of all species is included, together with photomicrographs and recommended DNA markers for identification.

Molecular epidemiology of Trichophyton infections among canines from Northern India.

Dermatophytes are keratinophilic fungi that cause skin infections in both humans and animals. Recently, the incidence rates of fungal infections associated with Trichophyton spp. have been considered endemic in many locations. The aim of this study was to isolate and characterize Trichophyton spp. from canines and felines. In the present study, screened 442 canine (n = 386) and feline (n = 56) samples for dermatophytes. Among all the samples, ten isolates were identified as Trichophyton spp. based on micro-morphological features. For comparative analysis, we included three human strains of Trichophyton mentagrophytes complex. In vitro susceptibility of antifungal drugs indicated the highest sensitivity except for fluconazole. The canine and human strains were genetically characterized by sequencing three genes: the internal transcribed spacer region of rDNA, translation elongation factor 1- gene, and beta-tubulin. Based on sequence homology and phylogenetic analysis, the ten canine strains belonged to four different species/ genotypes such as T. mentagrophytes genotype VIII (T. indotineae) (n = 5), T. interdigitale (n = 2), T. simii (n = 2) and T. quinckeanum (n = 1). The three human strains used for comparative analysis were identified as T. mentagrophytes genotype VIII (n = 2) and T. benhamiae (n = 1). The study hence indicates that the T. mentagrophytes genotype VIII, considered as an endemic and emerging human pathogenic clone in India, is also the prevalent in animals.

Identification of medically important yeasts by sequence analysis of the internal transcribed spacer and D1/D2 region of the large ribosomal subunit.

BACKGROUND: The prevalence of opportunistic yeast infections has increased in recent decades as the result of an increasing immunocompromised patient population. AIMS: To evaluate ribosomal RNA (rRNA) gene sequence to identify medically important yeast species, to investigate the performance of both the rRNA gene internal transcribed spacer (ITS) and D1/D2 region in identifying clinically relevant yeasts, and to compare these results with those of a standard phenotypic method. METHODS: Both regions from 50 yeast strains, comprising 45 clinical isolates and 5 reference strains, were amplified using PCR and then sequenced. The sequences were compared to reference data available from the GenBank database of the National Center for Biotechnology Information using the BLASTn tool. RESULTS: Using ID32C, 88% (44/50) of all strains were identified accurately at the species level, although 6% were misidentified; two Candida eremophila isolates were identified as Candida glabrata and Candida tropicalis, and one Saprochaete clavata isolate was identified as Saprochaete capitata. Two of the four isolates identified by phenotypic methods as Trichosporon asahii were defined so by analyzing the ITS region, but the remaining two were not distinguishable from closely related species. Based on the D1/D2 region, these four isolates had 100% sequence identity with T. asahii, Trichosporon japonicum, and Trichosporon asteroides. The isolate identified as Trichosporon inkin using ID32C could not be distinguished from Trichosporon ovoides by analyzing the ITS and D1/D2 regions. CONCLUSIONS: Identifying medically important yeasts by sequencing the ITS and D1/D2 region is a rapid and reliable alternative to conventional identification methods. For a diagnostic algorithm, we suggest a two-step procedure integrating conventional methods (e.g. microscopic morphology on corn meal agar with Tween® 80 and API ID32C®) and sequence analysis of the ITS and D1/D2 region.

Assessing universality of DNA barcoding in geographically isolated selected desert medicinal species of Fabaceae and Poaceae.

In pursuit of developing fast and accurate species-level molecular identification methods, we tested six DNA barcodes, namely ITS2, matK, rbcLa, ITS2+matK, ITS2+rbcLa, matK+rbcLa and ITS2+matK+rbcLa, for their capacity to identify frequently consumed but geographically isolated medicinal species of Fabaceae and Poaceae indigenous to the desert of Cholistan. Data were analysed by BLASTn sequence similarity, pairwise sequence divergence in TAXONDNA, and phylogenetic (neighbour-joining and maximum-likelihood trees) methods. Comparison of six barcode regions showed that ITS2 has the highest number of variable sites (209/360) for tested Fabaceae and (106/365) Poaceae species, the highest species-level identification (40%) in BLASTn procedure, distinct DNA barcoding gap, 100% correct species identification in BM and BCM functions of TAXONDNA, and clear cladding pattern with high nodal support in phylogenetic trees in both families. ITS2+matK+rbcLa followed ITS2 in its species-level identification capacity. The study was concluded with advocating the DNA barcoding as an effective tool for species identification and ITS2 as the best barcode region in identifying medicinal species of Fabaceae and Poaceae. Current research has practical implementation potential in the fields of pharmaco-vigilance, trade of medicinal plants and biodiversity conservation.

Genetic diversity of Histoplasma and Sporothrix complexes based on sequences of their ITS1-5.8S-ITS2 regions from the BOLD System.

High sensitivity and specificity of molecular biology techniques have proven usefulness for the detection, identification and typing of different pathogens. The ITS (Internal Transcribed Spacer) regions of the ribosomal DNA are highly conserved non-coding regions, and have been widely used in different studies including the determination of the genetic diversity of human fungal pathogens. This article wants to contribute to the understanding of the intra- and interspecific genetic diversity of isolates of the Histoplasma capsulatum and Sporothrix schenckii species complexes by an analysis of the available sequences of the ITS regions from different sequence databases. ITS1-5.8S-ITS2 sequences of each fungus, either deposited in GenBank, or from our research groups (registered in the Fungi Barcode of Life Database), were analyzed using the maximum likelihood (ML) method. ML analysis of the ITS sequences discriminated isolates from distant geographic origins and particular wild hosts, depending on the fungal species analyzed. This manuscript is part of the series of works presented at the "V International Workshop: Molecular genetic approaches to the study of human pathogenic fungi" (Oaxaca, Mexico, 2012).