Project description:To understand the ecophysiology of Sulfurihydrogenibium spp. in situ, integrated metagenomic, metatranscriptomic and metaproteomic analyses were conducted on a microbial community from Narrow Gauge at Mammoth Hot Springs, Yellowstone National Park.
2020-05-26 | PXD004323 | Pride
Project description:Feral Pigeons Genomics
| PRJNA495951 | ENA
Project description:Guadalupe Mountains National Park Conservation Genomics
Project description:It is assumed that climate and land-use changes cause increasing stress to pollinators, which play pivotal roles in almost all terrestrial ecosystems, with consequences on population growth, diversity and ecosystem functions. While these responses to global change drivers are well located, the molecular pathways triggering the response are poorly understood. We analysed the transcriptomic response of Bombus lucorum workers in their systematic responses to temperature and livestock grazing, sampled along an elevational gradient from 650 – 1930 m.a.s.l., and from differently managed grassland sites (livestock grazing vs. unmanaged) in and around the National Park Berchtesgaden (German Alps).
Project description:We sequenced total RNA from whole blood samples of 27 wild gray wolves from Yellowstone National Park. Gene expression level analysis of both male and female wolves, ranging from ages 0.8-8.8 years.
Project description:We report the application of CAGE (Cap Analysis of Gene Expression) on collections of Daphnia pulex individuals representing three major developmental states. This submission comes from a project of Michael Lynch and was funded by a grant from the National Institutes of Health entitled 'Population Genomics of Daphnia pulex' (Project Number: 1R01GM101672-01A1).
2016-09-12 | GSE80141 | GEO
Project description:Metabarcoding of dietary variation in Sable Island feral horses
Project description:The NIEHS data set (endpoint C) was provided by the National Institute of Environmental Health Sciences (NIEHS) of the National Institutes of Health (Research Triangle Park, NC, USA). The study objective was to use microarray gene expression data acquired from the liver of rats exposed to hepatotoxicants to build classifiers for prediction of liver necrosis. The gene expression compendium data set was collected from 418 rats exposed to one of eight compounds (1,2-dichlorobenzene, 1,4-dichlorobenzene, bromobenzene, monocrotaline, N-nitrosomorpholine, thioacetamide, galactosamine, and diquat dibromide). All eight compounds were studied using standardized procedures, i.e. a common array platform (Affymetrix Rat 230 2.0 microarray), experimental procedures and data retrieving and analysis processes.