Fungi capable of producing fruit bodies are essential food and medicine resources. Despite recent advances in the study of microbial communities in mycorrhizospheres, little is known about the bacterial communities contained in fruit bodies. Using high-throughput sequencing, we investigated the bacterial communities in four species of mushrooms located on the alpine meadow and saline-alkali soil of the Qinghai-Tibet Plateau (QTP).
View Article and Find Full Text PDFThe Qaidam Basin is the most extensive (120 000 km2) basin on the Qinghai-Tibet Plataea (QTP). Recent studies have shown that environmental selection and dispersal limitation influence the soil fungal community significantly in a large-scale distance. However, less is known about large-scale soil fungal community assemblages and its response to the elevation gradient in the high-elevation basin ecosystems.
View Article and Find Full Text PDFMany studies have investigated patterns of soil microbial communities over large spatial scales. However, these studies mainly focused on a few sites. Here, we studied the near-surface (0-30 cm) soil microbial communities of 35 soil samples collected from most of the areas of the Qaidam Basin, which is the largest basin on the Qinghai-Tibet Plateau.
View Article and Find Full Text PDFPremise: (Saxifragaceae) is a widespread alpine species in the Qinghai-Tibetan Plateau and its flanking mountains. We developed a set of expressed sequence tag-simple sequence repeat (EST-SSR) markers to investigate the genetic diversity and evolutionary history of the species.
Methods And Results: We initially designed 50 EST-SSR markers based on transcriptome data of .
The varying topography and environment that resulted from paleoorogeny and climate fluctuations of the Himalaya-Hengduan Mountains (HHM) areas had a considerable impact on the evolution of biota during the Quaternary. To understand the phylogeographic pattern and historical dynamics of (Caprifoliaceae), we sequenced three chloroplast DNA fragments (, , and ) from 238 individuals representing 20 populations. Nineteen haplotypes (H1-H19) were identified based on 23 single-site mutations and eight indels.
View Article and Find Full Text PDFThe chloroplast (cp) genome is useful in the study of phylogenomics, molecular dating, and molecular evolution. sect. is a predominantly alpine flowering plant that is valued for its contributions to medicine, ecology, and horticulture.
View Article and Find Full Text PDFFloccularia luteovirens, as an ectomycorrhizal fungus, is widely distributed in the Qinghai-Tibet Plateau. As an edible fungus, it is famous for its unique flavor. Former studies mainly focus on the chemical composition and genetic structure of this species.
View Article and Find Full Text PDFStudying closely related species and divergent populations provides insight into the process of speciation. Previous studies showed that the complex's evolutionary history on the Qinghai-Tibetan Plateau (QTP) was confusing and could not be distinguishable on the molecular level. In this study, the genetic structure and gene flow of and on the QTP was examined across 45 populations using 8 microsatellite loci.
View Article and Find Full Text PDFThis article documents the addition of 268 microsatellite marker loci to the Molecular Ecology Resources Database. Loci were developed for the following species: Alburnoides bipunctatus, Chamaerops humilis, Chlidonias hybrida, Cyperus papyrus, Fusarium graminearum, Loxigilla barbadensis, Macrobrachium rosenbergii, Odontesthes bonariensis, Pelteobagrus vachelli, Posidonia oceanica, Potamotrygon motoro, Rhamdia quelen, Sarotherodon melanotheron heudelotii, Sibiraea angustata, Takifugu rubripes, Tarentola mauritanica, Trimmatostroma sp. and Wallago attu.
View Article and Find Full Text PDFGuang Pu Xue Yu Guang Pu Fen Xi
October 2008
In order to solve the difficulties that the spectrum training data samples of the massive mixed gas cannot be actually obtained, the analysis precision is low and it is not real time online analysis in the analysis of mixed gas component concentration, the support vector machine, a new information processing method, was used in the mixed gas infrared spectrum analysis, and the concept of mixed gas distribution pattern was proposed in the present paper. Based on the thought that the mixed gas distribution pattern recognition is carried out first, and then the analysis work of mixed gas component concentration is done, sixty kinds of mixed gas distribution pattern were determined after investigation and study, and 6000 mixed gas spectrum data samples were used for model training and testing. Sequential minimal optimization algorithm was applied to realize the decrement and the increase of online learning, and finally the model of infrared spectrum online pattern recognition of mixed gas distribution based on SVM was established.
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