Project description:Molecular analysis of dissimilatory nitrite reductase genes (nirS) was conducted using a customized microarray containing 165 nirS probes (archetypes) to identify members of sedimentary denitrifying communities. The goal of this study was to examine denitrifying community responses to changing environmental variables over spatial and temporal scales in the New River Estuary (NRE), NC, USA. Multivariate statistical analyses revealed three denitrifier assemblages and uncovered “generalist” and “specialist” archetypes based on the distribution of archetypes within these assemblages. Generalists, archetypes detected in all samples during at least one season, were commonly world-wide found in estuarine and marine ecosystems, comprised 11-29% of the abundant NRE archetypes. Archetypes found in a particular site, “specialists”, were found to co-vary based on site specific conditions. Archetypes specific to the lower estuary in winter were designated Cluster I and significantly correlated by sediment Chl a and porewater Fe2+. A combination of specialist and more widely distributed archetypes formed Clusters II and III, which separated based on salinity and porewater H2S, respectively. The co-occurrence of archetypes correlated with different environmental conditions highlights the importance of habitat type and niche differentiation among denitrifying communities and supports the essential role of individual community members in overall ecosystem function.
2017-05-02 | GSE98190 | GEO
Project description:sediment samples in the Yangtze Estuary
Project description:Archaea are ubiquitous prokaryotes with a wide range of habitats, important roles in ecology, biotechnology and potentially even human health. Despite that, our understanding of archaeal cell biology is still rather limited, partially because the application of systems biology approaches is lacking behind the other domains of life. Here we introduce/announce the Archaeal Proteome Project (ArcPP), a community effort that aims for the comprehensive analysis of archaeal proteomes. Starting with the model archaeon Haloferax volcanii, we have re-analyzed more than 2 TB of MS result files (>20 Mio. spectra) using state-of-the-art bioinformatic tools, increasing peptide spectrum matches and leading to the secure identification of >3000 proteins. This dataset is part of the Archaeal Proteome Project dataset