Ontology highlight
ABSTRACT:
PROVIDER: PRJNA665935 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:4plex_physco_2014-05 - ppmax2 response to gr24 - How does the Ppmax2 moss mutant respond to Strigolactone (GR24)? - Two moss genotypes are used: WT and the Ppmax2 mutant. Moss tissues are fragmented, then plated on medium (Petri dish with cellophane disks) and cultivated for 3 weeks. Moss tissues are then transfered for 6 hours on acetone-containing medium (control treatment, for WT and Ppmax2) or GR24 (1 microM, in acetone)-containing medium (for Ppmax2). After 6 hours, the moss tissues are collected, quickly forzen in liquid nitrogen. RNA are isolated using the Quiagen RNeasy Plant mini kit (including a RNase-free DNase treatment on column). Two similar experiments (T1 and T2) have been led.
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Project description:High-throughput sequencing of endogenous small RNAs from the moss Physcomitrella patens. This dataset encompasses microRNAs and other small RNAs of ~20-24 nucleotides expressed in the moss P. patens. SAMPLES UPDATED JULY 9, 2007 TO INCLUDE DATA ON SEQUENCED SMALL RNAS THAT DO NOT MATCH THE P. PATENS GENOME Keywords: High throughput small RNA sequencing
2006-08-15 | GSE5103 | GEO
Project description:Anthropogenic activities have dramatically increased the inputs of reactive nitrogen (N) into terrestrial ecosystems, with potentially important effects on the soil microbial community and consequently soil C and N dynamics. Our analysis of microbial communities in soils subjected to 14 years of 7 g N m-2 year-1 Ca(NO3)2 amendment in a Californian grassland showed that the taxonomic composition of bacterial communities, examined by 16S rRNA gene amplicon sequencing, was significantly altered by nitrate amendment, supporting the hypothesis that N amendment- induced increased nutrient availability, yielded more fast-growing bacterial taxa while reduced slow-growing bacterial taxa. Nitrate amendment significantly increased genes associated with labile C degradation (e.g. amyA and xylA) but had no effect or decreased the relative abundances of genes associated with degradation of more recalcitrant C (e.g. mannanase and chitinase), as shown by data from GeoChip targeting a wide variety of functional genes. The abundances of most N cycling genes remained unchanged or decreased except for increases in both the nifH gene (associated with N fixation), and the amoA gene (associated with nitrification) concurrent with increases of ammonia-oxidizing bacteria. Based on those observations, we propose a conceptual model to illustrate how changes of functional microbial communities may correspond to soil C and N accumulation.
2017-11-21 | GSE107168 | GEO
Project description:Prolific heterotrophic biofilm growth is a common occurrence in airport receiving streams containing deicer and anti-icer runoff. This study investigated relations of heterotrophic biofilm prevalence and community composition to environmental conditions at stream sites upstream and downstream of Milwaukee Mitchell International Airport in Milwaukee, WI, during two deicing seasons (2009–2010 and 2010–2011). Modern genetic tools (such as microarray) have not previously been applied to biofilm communities in this type of setting. We used microarray results to characterize biofilm community composition as well as the response of the biofilm community to environmental factors (i.e., organic content (using chemical oxygen demand concentration) and temperature).
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Project description:Bacteriophage – host dynamics and interactions are important for microbial community composition and ecosystem function. Nonetheless, empirical evidence in engineered environment is scarce. Here, we examined phage and prokaryotic community composition of four anaerobic digestors in full-scale wastewater treatment plants (WWTPs) across China. Despite relatively stable process performance in biogas production, both phage and prokaryotic groups fluctuated monthly over a year of study period. Nonetheless, there were significant correlations in their α- and β-diversities between phage and prokaryotes. Phages explained 40.6% of total prokaryotic community composition, much higher than the explainable power by abiotic factors (14.5%). Consequently, phages were significantly (P<0.010) linked to parameters related to process performance including biogas production and volatile solid concentrations. Association network analyses showed that phage-prokaryote pairs were deeply rooted, and two network modules were exclusively comprised of phages, suggesting a possibility of co-infection. Those results collectively demonstrate phages as a major biotic factor in controlling bacterial composition. Therefore, phages may play a larger role in shaping prokaryotic dynamics and process performance of WWTPs than currently appreciated, enabling reliable prediction of microbial communities across time and space.
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