Microbes living at hydrothermal vents act as important “filters” for compounds like sulfur, iron, and managanese that emerge from deep below the seafloor. [Read More]
A central goal of the DOE Biological and Environmental Research (BER) program and current JGI sequencing efforts is to improve our understanding of candidate plant species to advance their use as bioenergy feedstocks. Juenger and colleagues have developed mutant population resources in Panicum hallii to help in the discovery of new genes and pathways important for feedstocks in forward screens, as well as a valuable testing platform for reverse genetic studies of known genes. These knowledge will facilitate our ability to manipulate and improve switchgrass for feedstock production. [Read More]
We will use a high-throughput approach to help fill-in gaps in knowledge of the functional properties of microbes and their genes, laying a solid foundation for researchers hoping to engineer bacteria with improved or novel traits. [Read More]
Chaetoceros is the most abundant and cosmopolitan diatom genus in the world’s ocean, so these genomes will enable population genetics studies and allow exploration of the genetic and epigenetic contributions to species adaptation and evolution. [Read More]
In this study, we will perform a fine-graded comparative analysis of transcription factor activities and functions in relation to beneficial fungal-associations with model plant hosts and measure how outcomes are altered by encounters with pathogenic fungi and selected root-associated bacteria. Improved knowledge of fungal gene regulation during confrontation with other microbes and in different plant hosts will help engineering more resilient fungal strains with enhanced root colonization and growth promotion capacities and provide fresh leads to plant-protection strategies. [Read More]
Microbes and their viruses are recently found to be profoundly impacting in virtually any ecosystem studied – from the oceans and soils to humans and bioreactors. While our knowledge of viral diversity is growing, we often observe genomes without knowing which host cell the virus infects. This proposal seeks to leverage ecosystem modeling and high-resolution time series datasets to scalably identify which viruses infect which hosts in experimental model systems and complex communities. Should it be successful, the new analytic will be powerful context for studying viruses in any ecosystem. [Read More]
This proposal seeks to create a global census of microbial genomes across 250 of the world’s rivers, from the Amazon to the Mississippi. Our goal is to create a Genome Resolved Open Watershed (GROW) database- which will be an open access resource to advance knowledge of aquatic microbiology for the entire scientific community. [Read More]
We propose to generate data that would provide us with a better understanding of the role of different microorganisms involved methanogenesis in the rumen ecosystem and the foundation to develop new strategies for methane mitigation from ruminants. Ruminant animals are one of major anthropogenic sources of the highly potent greenhouse gas methane and advanced methane mitigation strategies would have a significant impact on the global methane emission and the therefore on climate change. This aligns fully with DOE’s mission to reduce the anthropogenic carbon footprint. [Read More]
Chytrids are basal fungi. Despite the chytrids major negative impact on algal phytoplankton productivity and as a major pest in microalgal biofuels production facilities, extremely little is known about the biology of these organisms. We expect that the genomic data provided from this CSP will shed light on the “blackbox” of unknown molecular events at various stages of infections in the inter-organismal chytrid/algal systems. This work is highly relevant to the DOE mission in the context of organic carbon cycling in aquatic plankton communities and due to the microalgae being feedstock for biofuels applications. [Read More]
The MOSAiC drift experiment will provide sequence data to study for the first time how microbial communities change over a complete seasonal cycle in the Arctic Ocean in terms of their diversity and gene activity. These results will be instrumental to study climate processes they drive. [Read More]