Ontology highlight
ABSTRACT:
PROVIDER: PRJNA1262077 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR33545243.fastq.gz | Fastqsanger.gz | |||
| SRR33545244.fastq.gz | Fastqsanger.gz | |||
| SRR33545245.fastq.gz | Fastqsanger.gz | |||
| SRR33545246.fastq.gz | Fastqsanger.gz | |||
| SRR33545247.fastq.gz | Fastqsanger.gz |
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Project description:Ophiocordyceps sinensis (Berk.) Sacc., a complex of larval carcass (sclerotium) and stroma formed by the fungus of Hirsutella sinensis infecting Hepialidae insect larvae, whose fruiting body is also the main fungal structure used for taxonomic identification. However, the induction of fruiting body is still inefficient and the high cost resulting in the large-scale artificial cultivation of this fungus has been unsuccessful in China.In this study,important factors and target genes associated with the fruiting body induction during the development of O. sinensis were identified, providing a basic molecular mechanism for facilitating the large-scale artificial cultivation of O. sinensis.
2021-06-30 | GSE160505 | GEO
Project description:The rate, timing, and mode of species dispersal is recognized as a key driver of the structure and function of communities of macroorganisms, and may be one ecological process that determines the diversity of microbiomes. Many previous studies have quantified the modes and mechanisms of bacterial motility using monocultures of a few model bacterial species. But most microbes live in multispecies microbial communities, where direct interactions between microbes may inhibit or facilitate dispersal through a number of physical (e.g., hydrodynamic) and biological (e.g., chemotaxis) mechanisms, which remain largely unexplored. Using cheese rinds as a model microbiome, we demonstrate that physical networks created by filamentous fungi can impact the extent of small-scale bacterial dispersal and can shape the composition of microbiomes. From the cheese rind of Saint Nectaire, we serendipitously observed the bacterium Serratia proteamaculans actively spreads on networks formed by the fungus Mucor. By experimentally recreating these pairwise interactions in the lab, we show that Serratia spreads on actively growing and previously established fungal networks. The extent of symbiotic dispersal is dependent on the fungal network: diffuse and fast-growing Mucor networks provide the greatest dispersal facilitation of the Serratia species, while dense and slow-growing Penicillium networks provide limited dispersal facilitation. Fungal-mediated dispersal occurs in closely related Serratia species isolated from other environments, suggesting that this bacterial-fungal interaction is widespread in nature. Both RNA-seq and transposon mutagenesis point to specific molecular mechanisms that play key roles in this bacterial-fungal interaction, including chitin utilization and flagellin biosynthesis. By manipulating the presence and type of fungal networks in multispecies communities, we provide the first evidence that fungal networks shape the composition of bacterial communities, with Mucor networks shifting experimental bacterial communities to complete dominance by motile Proteobacteria. Collectively, our work demonstrates that these strong biophysical interactions between bacterial and fungi can have community-level consequences and may be operating in many other microbiomes.
2017-08-02 | GSE85095 | GEO
Project description:Ophiocordyceps sinensis (Berk.) Sacc., a complex of larval carcass (sclerotium) and stroma formed by the fungus of Hirsutella sinensis infecting Hepialidae insect larvae, whose fruiting body is also the main fungal structure used for taxonomic identification. However, the induction of fruiting body is still inefficient and the high cost resulting in the large-scale artificial cultivation of this fungus has been unsuccessful in China.In this study,important factors and target genes associated with the fruiting body induction during the development of O. sinensis were identified, providing a basic molecular mechanism for facilitating the large-scale artificial cultivation of O. sinensis.
2021-06-30 | GSE160504 | GEO
Project description:To effectively monitor microbial populations in acidic environments and bioleaching systems, a comprehensive 50-mer-based oligonucleotide microarray was developed based on most of the known genes associated with the acidophiles. This array contained 1,072 probes in which there were 571 related to 16S rRNA and 501 related to functional genes. Acid mine drainage (AMD) presents numerous problems to the aquatic life and surrounding ecosystems. However, little is known about the geographic distribution, diversity, composition, structure and function of AMD microbial communities. In this study, we analyzed the geographic distribution of AMD microbial communities from twenty sites using restriction fragment length polymorphism (RFLP) analysis of 16S rRNA genes, and the results showed that AMD microbial communities were geographically distributed and had high variations among different sites. Then an AMD-specific microarray was used to further analyze nine AMD microbial communities, and showed that those nine AMD microbial communities had high variations measured by the number of detected genes, overlapping genes between samples, unique genes, and diversity indices. Statistical analyses indicated that the concentrations of Fe, S, Ca, Mg, Zn, Cu and pH had strong impacts on both phylogenetic and functional diversity, composition, and structure of AMD microbial communities. This study provides insights into our understanding of the geographic distribution, diversity, composition, structure and functional potential of AMD microbial communities and key environmental factors shaping them. This study investigated the geographic distribution of Acid Mine Drainages microbial communities using a 16S rRNA gene-based RFLP method and the diversity, composition and structure of AMD microbial communities phylogenetically and functionally using an AMD-specific microarray which contained 1,072 probes ( 571 related to 16S rRNA and 501 related to functional genes). The functional genes in the microarray were involved in carbon metabolism (158), nitrogen metabolism (72), sulfur metabolism (39), iron metabolism (68), DNA replication and repair (97), metal-resistance (27), membrane-relate gene (16), transposon (13) and IST sequence (11).
2011-03-08 | E-GEOD-27542 | biostudies-arrayexpress
Project description:Nitrogen (N) fertilisers are routinely applied to bananas (Musa spp.) to increase production, but may exacerbate important disease such as Fusarium wilt of banana (FWB). Here, we characterised the effects of N rate and form (ammonium or nitrate) on FWB severity, the banana root proteome, and the diversity of rhizosphere bacterial and fungal communities. Banana plants (Musa ABB) were grown under greenhouse conditions in soil with ammonium or nitrate supplemented at five N rates, and with or without inoculation with Fusarium oxysporum f. sp. cubense (Foc). The growth of non-inoculated plants was positively correlated with N rate. In bananas inoculated with Foc, disease severity increased with N rate, resulting in Foc-inoculated plant growth being greatest at intermediate N rates. The abundance of Foc was weakly related to the treatment conditions and was a poor predictor of disease severity. Fungal diversity was consistently affected by Foc inoculation, while bacterial diversity was associated with changes in soil pH resulting from N addition, in particular ammonium. N rate altered the expression of host metabolic pathways associated with carbon fixation, energy usage, amino acid metabolism, and importantly stress response signalling, irrespective of inoculation or N form. Furthermore, in diseased plants, Pathogenesis-related protein 1, a key endpoint for biotic stress response and the salicylic acid defence response to biotrophic pathogens, was negatively correlated with the rate of ammonium fertiliser but not nitrate. As expected, inoculation with Foc altered the expression of a wide range of processes in the banana plant including those of defence and growth. In summary, our results indicate that the severity of FWB was negatively associated with host defences, which were influenced by N application (particularly ammonium), and shifts in microbial communities in response to ammonium-induced acidification.
2022-04-18 | MSV000089270 | MassIVE
Project description:To effectively monitor microbial populations in acidic environments and bioleaching systems, a comprehensive 50-mer-based oligonucleotide microarray was developed based on most of the known genes associated with the acidophiles. This array contained 1,072 probes in which there were 571 related to 16S rRNA and 501 related to functional genes. Acid mine drainage (AMD) presents numerous problems to the aquatic life and surrounding ecosystems. However, little is known about the geographic distribution, diversity, composition, structure and function of AMD microbial communities. In this study, we analyzed the geographic distribution of AMD microbial communities from twenty sites using restriction fragment length polymorphism (RFLP) analysis of 16S rRNA genes, and the results showed that AMD microbial communities were geographically distributed and had high variations among different sites. Then an AMD-specific microarray was used to further analyze nine AMD microbial communities, and showed that those nine AMD microbial communities had high variations measured by the number of detected genes, overlapping genes between samples, unique genes, and diversity indices. Statistical analyses indicated that the concentrations of Fe, S, Ca, Mg, Zn, Cu and pH had strong impacts on both phylogenetic and functional diversity, composition, and structure of AMD microbial communities. This study provides insights into our understanding of the geographic distribution, diversity, composition, structure and functional potential of AMD microbial communities and key environmental factors shaping them.
2011-03-08 | GSE27542 | GEO
Project description:The transcriptome profiling five tissues of juvenile Eriocheir sinensis, including gill, muscle, thoracic ganglion, eyestalk and hepatopancreas, were sequenced to get the basic dataset for constructed a genome-scale metabolic network model for E. sinensis. The model was used to predict the optimal nutrient requirements of E. sinensis in feed and suggestions for feed improvement were put forward based on the simulation results.
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Project description:Global microRNA expression profiling of microdissected tissues from diseased and non-diseased pancreatic tissues
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