Project description:This SuperSeries is composed of the following subset Series: GSE15686: Meta-transcriptome analysis of a natural wheat sourdough ecosystem during a 10-day spontaneous laboratory fermentation (I) GSE15691: Meta-transcriptome analysis of a natural spelt sourdough ecosystem during a 10-day spontaneous laboratory fermentation (I) GSE15692: Meta-transcriptome analysis of a natural spelt sourdough ecosystem during a 10-day spontaneous laboratory fermentation (II) GSE15693: Meta-transcriptome analysis of a natural wheat sourdough ecosystem during a 10-day spontaneous laboratory fermentation (II) Refer to individual Series
Project description:Nitrite-oxidizing bacteria are vital players in the global nitrogen cycle that convert nitrite to nitrate during the 2nd step of nitrification. Within this functional guild, the genus Nitrospira is among the most widespread and phylogenetically and physiologically diverse nitrite oxidizers and its members drive nitrite oxidation in many natural and biotechnological ecosystems. Despite their ecological and biotechnological importance, our understanding of Nitrospira’s energy metabolism is still limited. The main bottleneck for a detailed biochemical characterization of Nitrospira is biomass production, since they are slow-growing organisms and fastidious to culture. In this study, we cultured Nitrospira moscoviensis in a continuous stirred tank reactor system (CSTR) allowing constant biomass harvesting. Additionally, this cultivation setup enabled accurate control of physicochemical parameters and thus avoided fluctuating levels of nitrite and accumulation of nitrate. We performed transcriptome analysis and confirmed constant gene expression profiles in the chemostat culture over a period of two weeks. The transcriptomic data supports the predicted core metabolism of N. moscoviensis, including the reductive TCA cycle as a CO2 fixation pathway, the novel bd-like oxidase as terminal oxidase and the octaheme nitrite reductase involved in nitrogen assimilation. Additionally, the expression of multiple copies of respiratory complexes suggests functional differentiation of these copies within the respiratory chain. Transcriptome analysis also suggests a soluble and a membrane-bound gamma subunit as part of the nitrite oxidoreductase (NXR), the enzyme catalyzing nitrite oxidation. Overall, the transcriptome data provided novel insights into the metabolism of Nitrospira supporting the genome-based prediction of key pathways. Moreover, the application of a CSTR to cultivate Nitrospira is an important foundation for future proteomic and biochemical characterizations, which are crucial for a better understanding of canonical and complete nitrifying microorganisms.
Project description:Reforestation is effective in restoring ecosystem functions and enhancing ecosystem services of degraded land. The three most commonly employed reforestation methods of natural reforestation, artificial reforestation with native Masson pine (Pinus massoniana Lamb.), and introduced slash pine (Pinus elliottii Engelm.) plantations were equally successful in biomass yield in southern China. However, it is not known if soil ecosystem functions, such as nitrogen (N) cycling, are also successfully restored. Here, we employed a functional microarray to illustrate soil N cycling. The composition and interactions of N-cycling genes in soils varied significantly with reforestation method. Natural reforestation had more superior organization of N-cycling genes, and higher functional potential (abundance of ammonification, denitrification, assimilatory, and dissimilatory nitrate reduction to ammonium genes) in soils, providing molecular insight into the effects of reforestation.
Project description:Intra-tumor cellular diversity plays an important role in cancer progression, recurrence, and overall survival of cancer patients. We used scRNA-seq to characterize the cell type and cell state diversity in the tumor ecosystem of OSCC-GB
Project description:Natural epigenetic variation provides a source for the generation of phenotypic diversity, but to understand its contribution to phenotypic diversity, its interaction with genetic variation requires further investigation. MethylC-seq from naturally-occurring Arabidopsis accessions
Project description:We investigated natural inter-individual variation of the epigenome in a quantitative manner. To probe the degree of natural epigenomic diversity in S. cerevisiae, we compared three unrelated wild strains using replicated Mnase-seq and ChIP-seq profiling at mononucleosomal resolution for five histone marks (H3K4me3, H3K9ac, H3K14ac and H4K12ac and H3K4me1).
Project description:Understanding the biogeographical patterns and underlying drivers of microbial functional diversity is essential for anticipating climate change impacts on ecosystem functioning worldwide. However, this matter remains scarcely addressed in freshwater ecosystems. Using the high-throughput gene array GeoChip 4.0, we show that functional gene alpha diversity and compositon differ across mountains, alpha diversity declines towards high elevations and compositional turnover increases with larger elevational distances. Both continental- and mountain-scale patterns were primarily driven by climatic variables.
2020-06-22 | GSE128826 | GEO
Project description:Microbial diversity lake ecosystem
Project description:The Global Diversity lines are a resource collection of 87 strains of Drosophila melanogaster (Grenier JK et al 2015. PMID 25673134). In this experiment, whole adult flies from the Global Diversity Lines (87 inbred lines derived from natural populations) were profiled using a spotted-oligo microarray to determine natural variation in gene expression patterns.