Benthic Soil within South Arm of Great Salt Lake, UT, USA (Fremont Island South)
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA927656 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:Extreme halophile isolated from Dead Sea
| PRJNA13229 | ENA
Project description:Table of contentsI1 Proceedings of the Fifteenth Annual UT- KBRIN Bioinformatics Summit 2016Eric C. Rouchka, Julia H. Chariker, Benjamin J. Harrison, Juw Won ParkP1 CC-PROMISE: Projection onto the Most Interesting Statistical Evidence (PROMISE) with Canonical Correlation to integrate gene expression and methylation data with multiple pharmacologic and clinical endpointsXueyuan Cao, Stanley Pounds, Susana Raimondi, James Downing, Raul Ribeiro, Jeffery Rubnitz, Jatinder LambaP2 Integration of microRNA-mRNA interaction networks with gene expression data to increase experimental powerBernie J Daigle, Jr.P3 Designing and writing software for in silico subtractive hybridization of large eukaryotic genomesDeborah Burgess, Stephanie Gehrlich, John C CarmenP4 Tracking the molecular evolution of Pax geneNicholas Johnson; Chandrakanth EmaniP5 Identifying genetic differences in thermally dimorphic and state specific fungi using in silico genomic comparisonStephanie Gehrlich, Deborah Burgess, John C CarmenP6 Identification of conserved genomic regions and variation therein amongst Cetartiodactyla species using next generation sequencingKalpani De Silva, Michael P Heaton, Theodore S KalbfleischP7 Mining physiological data to identify patients with similar medical events and phenotypesTeeradache Viangteeravat, Rahul Mudunuri, Oluwaseun Ajayi, Fatih Şen, Eunice Y HuangP8 Smart brief for home health monitoringMohammad Mohebbi, Luaire Florian, Douglas J Jackson, John F NaberP9 Side-effect term matching for computational adverse drug reaction predictionsAKM Sabbir, Sally R EllingsonP10 Enrichment vs robustness: A comparison of transcriptomic data clustering metricsYuping Lu, Charles A Phillips, Michael A LangstonP11 Deep neural networks for transcriptome-based cancer classificationRahul K Sevakula, Raghuveer Thirukovalluru, Nishchal K. Verma, Yan CuiP12 Motif discovery using K-means clusteringMohammed Sayed, Juw Won ParkP13 Large scale discovery of active enhancers from nascent RNA sequencingJing Wang, Qi Liu, Yu ShyrP14 Computationally characterizing genomic pipelines and benchmarking results using GATK best practices on the high performance computing cluster at the University of KentuckyXiaofei Zhang, Sally R EllingsonP15 Development of approaches enabling the identification of abnormal gene expression from RNA-Seq in personalized oncologyNaresh Prodduturi, Gavin R Oliver, Diane Grill, Jie Na, Jeanette Eckel-Passow, Eric W KleeP16 Processing RNA-Seq data of plants infected with coffee ringspot virusMichael M Goodin, Mark Farman, Harrison Inocencio, Chanyong Jang, Jerzy W Jaromczyk, Neil Moore, Kelly SovacoolP17 Comparative transcriptomics of three Acinetobacter baumanii clinical isolates with different antibiotic resistance patternsLeon Dent, Mike Izban, Sammed Mandape, Shruti Sakhare, Siddharth Pratap, Dana MarshallP18 Metagenomic assessment of possible microbial contamination in the equine reference genome assemblyM Scotty DePriest, James N MacLeod, Theodore S KalbfleischP19 Molecular evolution of cancer driver genesChandrakanth Emani, Hanady Adam, Ethan Blandford, Joel Campbell, Joshua Castlen, Brittany Dixon, Ginger Gilbert, Aaron Hall, Philip Kreisle, Jessica Lasher, Bethany Oakes, Allison Speer, Maximilian ValentineP20 Biorepository Laboratory Information Management SystemNaga Satya V Rao Nagisetty, Rony Jose, Teeradache Viangteeravat, Robert Rooney, David Hains
| S-EPMC5001208 | biostudies-other
Project description:BackgroundSymbiosis is a phenomenon that allows organisms to colonise a wide range of environments and occupy a variety of ecological niches in marine environments. Large benthic foraminifera (LBF) are crucial marine calcifiers that rely on photo-endosymbionts for growth and calcification, yet the influence of environmental conditions in shaping their interactions with prokaryotic and eukaryotic associates is poorly known.ResultsHere, we used next-generation sequencing to identify eukaryotic photosynthesizing and prokaryotic microbes associated with the common LBF Amphistegina lobifera across a physio-chemical gradient on the Great Barrier Reef (GBR). We collected samples from three reef sites located in the inner-, mid- and outer-shelf regions of the northern section of the GBR. Results showed the consistent presence of Bacillaryophyta as the main eukaryotic taxa associated with A. lobifera across all reef sites analysed; however, the abundance and the diversity of prokaryotic organisms varied among reef sites. Inner-shelf specimens showed the highest diversity of prokaryote associates, with a total of 231 genotypes in their core microbiome. A total of 30 taxa were identified in the core microbiome across all reef sites. Within these taxa, Proteobacteria was the most abundant bacteria present. The presence of groups such as Actinobacteria was significantly correlated with inner-shelf populations, whereas the abundance of Bacteroidetes and Firmicutes was associated with A. lobifera collected from mid- and outer-shelf reef sites.ConclusionsWe found that benthic foraminifera form stable and persistent symbiosis with eukaryotic partners, but flexible and site-specific associations with prokaryotic microbes that likely influence the ecological success of these crucial calcifying organisms on the GBR.
| S-EPMC5364595 | biostudies-literature
Project description:ObjectivesPrior studies of the health effects of recessions have shown mixed results. Ecological studies often report a positive relationship between economic downturns and population health while individual-level studies often show that conditions related to recessions are deleterious. Our study examines the spatially and temporally heterogenous effects of the Great Recession (TGR) on adverse birth outcomes, a contemporaneous measure of population health that is highly responsive to changing social conditions.MethodsWe use restricted birth cohort data from California (2004-2012) merged with both county- and tract-level socio-demographic data, to explore birth selectivity and temporal and unemployment effects during TGR on adverse birth outcomes.ResultsWe find that gestational exposure - more specifically, second trimester exposure - during or adjacent to the months of TGR was generally deleterious for birth outcomes, more so, in some cases, for mothers with lower levels of education, and that increases in county-level unemployment were generally deleterious for birth outcomes.ConclusionsAlthough recessionary effects on population health are problematic and may have far-reaching effects, it appears that these effects may be largely universal, even given potential selective fertility favoring advantaged groups.
| S-EPMC6804518 | biostudies-literature
Project description:Greenwich Bay is an urbanized embayment of Narragansett Bay potentially impacted by multiple stressors. The present study identified the important stressors affecting Greenwich Bay benthic fauna. First, existing data and information were used to confirm that the waterbody was impaired. Second, the presence of source, stressor, and effect were established. Then linkages between source, stressor, and effect were developed. This allows identification of probable stressors adversely affecting the waterbody. Three pollutant categories were assessed: chemicals, nutrients, and suspended sediments. This weight of evidence approach indicated that Greenwich Bay was primarily impacted by eutrophication-related stressors. The sediments of Greenwich Bay were carbon enriched and low dissolved oxygen concentrations were commonly seen, especially in the western portions of Greenwich Bay. The benthic community was depauperate, as would be expected under oxygen stress. Although our analysis indicated that contaminant loads in Greenwich Bay were at concentrations where adverse effects might be expected, no toxicity was observed, as a result of high levels of organic carbon in these sediments reducing contaminant bioavailability. Our analysis also indicated that suspended sediment impacts were likely nonexistent for much of the Bay. This analysis demonstrates that the diagnostic procedure was useful to organize and assess the potential stressors impacting the ecological well-being of Greenwich Bay. This diagnostic procedure is useful for management of waterbodies impacted by multiple stressors. Environ Toxicol Chem 2017;36:449-462. © 2016 SETAC.
| S-EPMC6112154 | biostudies-literature