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At least 1,495 records · Page 83
All sourcesNASA NTRSDOE OSTI
DOE OSTI2020

Dynamic metabolic reprogramming in dendritic cells: An early response to influenza infection that is essential for effector function

Infection with the influenza virus triggers an innate immune response that initiates the adaptive response to halt viral replication and spread. However, the metabolic response fueling the molecular mechanisms underlying changes in innate immune cell homeostasis remain undefined. Although influenza increases parasitized cell metabolism, it does not productively replicate in dendritic cells. To dissect these mechanisms, we compared the metabolism of dendritic cells to that of those infected with active and inactive influenza A virus and those treated with toll-like receptor agonists. Using quantitative mass spectrometry, pulse chase substrate utilization assays and metabolic flux measurements, we found global metabolic changes in dendritic cells 17 hours post infection, including significant changes in carbon commitment via glycolysis and glutaminolysis, as well as mitochondrial respiration. Influenza infection of dendritic cells led to a metabolic phenotype distinct from that induced by TLR agonists, with significant resilience in terms of metabolic plasticity. We identified c-Myc as one transcription factor modulating this response. Restriction of c-Myc activity or mitochondrial substrates significantly changed the immune functions of dendritic cells, such as reducing motility and T cell activation. Transcriptome analysis of inflammatory dendritic cells isolated following influenza infection showed similar metabolic reprogramming occurs in vivo. Thus, early in the infection process, dendritic cells respond with global metabolic restructuring, that is present in inflammatory lung dendritic cells after infection, and this is important for effector function. These findings suggest metabolic switching in dendritic cells plays a vital role in initiating the immune response to influenza infection.

59 BASIC BIOLOGICAL SCIENCES↗
DOE OSTI2021

Spurious regulatory connections dictate the expression-fitness landscape of translation factors

During steady-state cell growth, individual enzymatic fluxes can be directly inferred from growth rate by mass conservation, but the inverse problem remains unsolved. Perturbing the flux and expression of a single enzyme could have pleiotropic effects that may or may not dominate the impact on cell fitness. Here, we quantitatively dissect the molecular and global responses to varied expression of translation termination factors (peptide release factors, RFs) in the bacterium Bacillus subtilis. While endogenous RF expression maximizes proliferation, deviations in expression lead to unexpected distal regulatory responses that dictate fitness reduction. Molecularly, RF depletion causes expression imbalance at specific operons, which activates master regulators and detrimentally overrides the transcriptome. Through these spurious connections, RF abundances are thus entrenched by focal points within the regulatory network, in one case located at a single stop codon. Such regulatory entrenchment suggests that predictive bottom-up models of expression-fitness landscapes will require near-exhaustive characterization of parts.

59 BASIC BIOLOGICAL SCIENCES↗
DOE OSTI2012

Glucose, Nitrogen, and Phosphate Repletion in Saccharomyces cerevisiae : Common Transcriptional Responses to Different Nutrient Signals

Saccharomyces cerevisiae are able to control growth in response to changes in nutrient availability. The limitation for single macronutrients, including nitrogen (N) and phosphate (P), produces stable arrest in G1/G0. Restoration of the limiting nutrient quickly restores growth. It has been shown that glucose (G) depletion/repletion very rapidly alters the levels of more than 2000 transcripts by at least 2-fold, a large portion of which are involved with either protein production in growth or stress responses in starvation. Although the signals generated by G, N, and P are thought to be quite distinct, we tested the hypothesis that depletion and repletion of any of these three nutrients would affect a common core set of genes as part of a generalized response to conditions that promote growth and quiescence. We found that the response to depletion of G, N, or P produced similar quiescent states with largely similar transcriptomes. As we predicted, repletion of each of the nutrients G, N, or P induced a large (501) common core set of genes and repressed a large (616) common gene set. Each nutrient also produced nutrient-specific transcript changes. The transcriptional responses to each of the three nutrients depended on cAMP and, to a lesser extent, the TOR pathway. All three nutrients stimulated cAMP production within minutes of repletion, and artificially increasing cAMP levels was sufficient to replicate much of the core transcriptional response. The recently identified transceptors Gap1, Mep1, Mep2, and Mep3, as well as Pho84, all played some role in the core transcriptional responses to N or P. As expected, we found some evidence of cross talk between nutrient signals, yet each nutrient sends distinct signals.

59 BASIC BIOLOGICAL SCIENCES↗
DOE OSTI2018

Early Diverging Insect-Pathogenic Fungi of the Order Entomophthorales Possess Diverse and Unique Subtilisin-Like Serine Proteases

Insect-pathogenic fungi use subtilisin-like serine proteases (SLSPs) to degrade chitin-associated proteins in the insect procuticle. Most insect-pathogenic fungi in the order Hypocreales (Ascomycota) are generalist species with a broad host-range, and most species possess a high number of SLSPs. The other major clade of insect-pathogenic fungi is part of the subphylum Entomophthoromycotina (Zoopagomycota, formerly Zygomycota) which consists of high host-specificity insect-pathogenic fungi that naturally only infect a single or very few host species. The extent to which insect-pathogenic fungi in the order Entomophthorales rely on SLSPs is unknown. Here we take advantage of recently available transcriptomic and genomic datasets from four genera within Entomophthoromycotina: the saprobic or opportunistic pathogens Basidiobolus meristosporus, Conidiobolus coronatus, C. thromboides, C. incongruus, and the host-specific insect pathogens Entomophthora muscae and Pandora formicae, specific pathogens of house flies (Muscae domestica) and wood ants (Formica polyctena), respectively. In total 154 SLSP from six fungi in the subphylum Entomophthoromycotina were identified: E. muscae (n = 22), P. formicae (n = 6), B. meristosporus (n = 60), C. thromboides (n = 18), C. coronatus (n = 36), and C. incongruus (n = 12). A unique group of 11 SLSPs was discovered in the genomes of the obligate biotrophic fungi E. muscae, P. formicae and the saprobic human pathogen C. incongruus that loosely resembles bacillopeptidase F-like SLSPs. Phylogenetics and protein domain analysis show this class represents a unique group of SLSPs so far only observed among Bacteria, Oomycetes and early diverging fungi such as Cryptomycota, Microsporidia, and Entomophthoromycotina. This group of SLSPs is missing in the sister fungal lineages of Kickxellomycotina and the fungal phyla Mucoromyocta, Ascomycota and Basidiomycota fungi suggesting interesting gene loss patterns.

59 BASIC BIOLOGICAL SCIENCES↗
DOE OSTI2020

QTG-Finder2: A Generalized Machine-Learning Algorithm for Prioritizing QTL Causal Genes in Plants

Linkage mapping has been widely used to identify quantitative trait loci (QTL) in many plants and usually requires a time-consuming and labor-intensive fine mapping process to find the causal gene underlying the QTL. Previously, we described QTG-Finder, a machine-learning algorithm to rationally prioritize candidate causal genes in QTLs. Although it showed good performance, QTG-Finder could only be used in Arabidopsis and rice because of the limited number of known causal genes in other species. Here we tested the feasibility of enabling QTG-Finder to work on species that have few or no known causal genes by using orthologs of known causal genes as training set. The model trained with orthologs could recall about 64% of Arabidopsis and 83% of rice causal genes when the top 20% ranked genes were considered, which is similar to the performance of models trained with known causal genes. The average precision was 0.027 for Arabidopsis and 0.029 for rice. We further extended the algorithm to include polymorphisms in conserved non-coding sequences and gene presence/absence variation as additional features. Using this algorithm, QTG-Finder2, we trained and cross-validated Sorghum bicolor and Setaria viridis models. The S. bicolor model was validated by causal genes curated from the literature and could recall 70% of causal genes when the top 20% ranked genes were considered. Furthermore, we applied the S. viridis model and public transcriptome data to prioritize a plant height QTL and identified 13 candidate genes. QTL-Finder2 can accelerate the discovery of causal genes in any plant species and facilitate agricultural trait improvement.

59 BASIC BIOLOGICAL SCIENCES↗
DOE OSTI2020

A Microbe Associated with Sleep Revealed by a Novel Systems Genetic Analysis of the Microbiome in Collaborative Cross Mice

The microbiome influences health and disease through complex networks of host genetics, genomics, microbes, and environment. Identifying the mechanisms of these interactions has remained challenging. Systems genetics in laboratory mice (Mus musculus) enables data-driven discovery of biological network components and mechanisms of host–microbial interactions underlying disease phenotypes. To examine the interplay among the whole host genome, transcriptome, and microbiome, we mapped QTL and correlated the abundance of cecal messenger RNA, luminal microflora, physiology, and behavior in a highly diverse Collaborative Cross breeding population. One such relationship, regulated by a variant on chromosome 7, was the association of Odoribacter (Bacteroidales) abundance and sleep phenotypes. In a test of this association in the BKS.Cg-Dock7 m +/+ Lepr db /J mouse model of obesity and diabetes, known to have abnormal sleep and colonization by Odoribacter, treatment with antibiotics altered sleep in a genotype-dependent fashion. The many other relationships extracted from this study can be used to interrogate other diseases, microbes, and mechanisms.

59 BASIC BIOLOGICAL SCIENCES↗
DOE OSTI2013

Annexin A2 Modulates Radiation-Sensitive Transcriptional Programming and Cell Fate

There is considerable public interest in the health effects of low doses of radiation (LDR) that fall below the doses that can be plausibly investigated in epidemiological studies. At these low doses, experimental models can detect perturbations in signaling pathways and use this information to define functional consequences of LDR exposures prospectively. In this study, we show increased nuclear annexin A2 (AnxA2) levels in human skin organotypic culture and murine progenitor cell model systems following exposure to X-radiation (10-200 cGy). LDR (2-20 cGy) inhibits cell transformation responses following epidermal growth factor (EGF) or 12-O-tetradecanoylphorbol-13-acetate (TPA) exposures, indicating LDR may have a protective component mediated in part by nuclear localization of AnxA2. Oncogenic protein kinase C epsilon (PKC) levels are increased in nuclear extracts from AnxA2 silenced [shRNA] cells, suggesting that AnxA2 may contribute to PKC nuclear export, perhaps reducing oncogenic potential. Coordinately, silencing AnxA2 results in a sensitive phenotype and cells grow constitutively in soft agar. Using global microarray analysis, we show that silencing AnxA2 fundamentally alters transcriptional programming, changing the radioresponsive transcriptome and revealing biological processes that are induced in the absence of AnxA2. These observations suggest that AnxA2 plays a fundamental role in the sensitivity of cellular and tissue response to ionizing radiation, and deficiency of AnxA2 could result in a permissive environment for radiation-induced health effects.

63 RADIATION, THERMAL, AND OTHER ENVIRON. POLLUTAN↗
DOE OSTI2024

Protein N -Glycans in Healthy and Sclerotic Glomeruli in Diabetic Kidney Disease

Diabetes is expected to directly affect renal glycosylation; yet to date, there has not been a comprehensive evaluation of alterations in N-glycan composition in the glomeruli of patients with diabetic kidney disease (DKD). Here, we used untargeted mass spectrometry imaging to identify N-glycan structures in healthy and sclerotic glomeruli in formalin-fixed paraffin-embedded sections from needle biopsies of five patients with DKD and three healthy kidney samples. Regional proteomics was performed on glomeruli from additional biopsies from the same patients to compare the abundances of enzymes involved in glycosylation. Secondary analysis of single-nucleus RNA sequencing (snRNAseq) data were used to inform on transcript levels of glycosylation machinery in different cell types and states. We detected 120 N-glycans, and among them, we identified 12 of these protein post-translated modifications that were significantly increased in glomeruli. All glomeruli-specific N-glycans contained an N-acetyllactosamine epitope. Five N-glycan structures were highly discriminant between sclerotic and healthy glomeruli. Sclerotic glomeruli had an additional set of glycans lacking fucose linked to their core, and they did not show tetra-antennary structures that were common in healthy glomeruli. Orthogonal omics analyses revealed lower protein abundance and lower gene expression involved in synthesizing fucosylated and branched N-glycans in sclerotic podocytes. In snRNAseq and regional proteomics analyses, we observed that genes and/or proteins involved in sialylation and N-acetyllactosamine synthesis were also downregulated in DKD glomeruli, but this alteration remained undetectable by our spatial N-glycomics assay. Integrative spatial glycomics, proteomics, and transcriptomics revealed protein N-glycosylation characteristic of sclerotic glomeruli in DKD.

60 APPLIED LIFE SCIENCES↗
DOE OSTI2017

Organic nutrient chemistry and the marine microbiome

Vast expanses of the ocean are characterized by extraordinarily low concentrations of nutrients but nevertheless support vibrant communities of marine microbes. In aggregate, these communities drive many of the important elemental cycles that sustain life on Earth. Microbial communities are organized to maximize nutrient and energy transfer between cells, and efficiently recycle organic carbon, nitrogen, phosphorus and trace metals. Energy and nutrient transfer occurs across a broad range of spatial scales. Large-sized marine algae and bacteria support epibiont communities that are physically in contact, exchanging nutrients and energy across cell membranes, while other communities that are physically far apart, rely on the horizontal mixing of ocean currents or the vertical pull of gravity to transfer nutrient and energy containing organic matter. Marine organic geochemists are making rapid progress in understanding the chemistry of the marine microbiome. These advances have benefited from parallel developments in analytical chemistry, microbial isolation and culture techniques, and advances in microbial genomics, transcriptomics, and proteomics. The combination of all three approaches has proven to be quite powerful. Here we highlight two aspects of the chemistry of organic phosphorus and trace metal cycling and the marine microbiome. In each study, advances in chemical analyses, microbial culture, and microbial genomics played key roles in understanding how microbial communities interact to facilitate nutrient cycling in the open ocean.

Environmental Molecular Sciences Laboratory↗
DOE OSTI2015

Expression profiling reveals transcriptional regulation by Fbxw7/mTOR pathway in radiation-induced mouse thymic lymphomas

The tumor suppressor gene FBXW7 is deleted and mutated in many different types of human cancers. FBXW7 primarily exerts its tumor suppressor activity by ubiquitinating different oncoproteins including mTOR. Here we used gene transcript profiling to gain a deeper understanding of the role of FBXW7 in tumor development and to determine the influence of mTOR inhibition by rapamycin on tumor transcriptome and biological functions. In comparison to tumors from p53 single heterozygous (p53+/-) mice, we find that radiation-induced thymic lymphomas from Fbxw7/p53 double heterozygous (Fbxw7+/-p53+/-) mice show significant deregulation of cholesterol metabolic processes independent of rapamycin treatment, while cell cycle related genes were upregulated in tumors from placebo treated Fbxw7+/-p53+/- mice, but not in tumors from rapamycin treated Fbxw7+/-p53+/- mice. On the other hand, tumors from rapamycin treated Fbxw7+/-p53+/- mice were enriched for genes involved in the integrated stress response, an adaptive mechanism to survive in stressful environments. Finally, we demonstrated that the Fbxw7 gene signatures identified in mouse tumors significantly overlap with FBXW7 co-expressed genes in human cancers. Importantly these common FBXW7 gene signatures between mouse and human are predictive for disease-free survival in human colon, breast and lung adenocarcinoma cancer patients. These results provide novel insights into the role of FBXW7 in tumor development and have identified a number of potential targets for therapeutic intervention.

60 APPLIED LIFE SCIENCES↗
DOE OSTI2012

Genome-Facilitated Analyses of Geomicrobial Processes

This project had the goal(s) of understanding the mechanism(s) of extracellular electron transport (EET) in the microbe Shewanella oneidensis MR-1, and a number of other strains and species in the genus Shewanella. The major accomplishments included sequencing, annotation, and analysis of more than 20 Shewanella genomes. The comparative genomics enabled the beginning of a systems biology approach to this genus. Another major contribution involved the study of gene regulation, primarily in the model organism, MR-1. As part of this work, we took advantage of special facilities at the DOE: e.g., the synchrotron radiation facility at ANL, where we successfully used this system for elemental characterization of single cells in different metabolic states (1). We began work with purified enzymes, and identification of partially purified enzymes, leading to initial characterization of several of the 42 c-type cytochromes from MR-1 (2). As the genome became annotated, we began experiments on transcriptome analysis under different conditions of growth, the first step towards systems biology (3,4). Conductive appendages of Shewanella, called bacterial nanowires were identified and characterized during this work (5, 11, 20,21). For the first time, it was possible to measure the electron transfer rate between single cells and a solid substrate (20), a rate that has been confirmed by several other laboratories. We also showed that MR-1 cells preferentially attach to cells at a given charge, and are not attracted, or even repelled by other charges. The interaction with the charged surfaces begins with a stimulation of motility (called electrokinesis), and eventually leads to attachment and growth. One of the things that genomics allows is the comparative analysis of the various Shewanella strains, which led to several important insights. First, while the genomes predicted that none of the strains looked like they should be able to degrade N-acetyl glucosamine (NAG), the monomer that makes up chitin, virtually all of the strains were in fact capable. This led to the discovery of a great many new genes involved with chitin and NAG metabolism (7). In a similar vein, a detailed study of the sugar utilization pathway revealed a major new insight into the regulation of sugar metabolism in this genus (19). Systems Biology and Comparative Genomics of the shewanellae: Several publications were put together describing the use of comparative genomics for analyses of the group Shewanella, and these were a logical culmination of our genomic-driven research (10,15,18). Eight graduate students received their Ph.D. degrees doing part of the work described here, and four postdoctoral fellows were supported. In addition, approximately 20 undergraduates took part in projects during the grant period.

54 ENVIRONMENTAL SCIENCES↗
DOE OSTI2012

Molecular Genetic Traits Influencing Maize Endosperm Development and Value

Development of the endosperm in cereal grasses entails different phases characterized by cell division, endoreduplication, accumulation of storage metabolites and cell death, which need to be carried out in an orderly fashion. While correct regulation of the cell cycle plays an essential role in endosperm development, the key regulatory factors and how the cell cycle interfaces with other pathways in this developmental context are largely unknown. We investigated the cyclin-dependent kinase (CDK)-retinoblastoma pathway and how it controls the cell cycle and coordinates it with other processes during maize endosperm development. Retinoblastoma-related (RBR) proteins may be inactivated through CDK-mediated phosphorylation, but the identity of the responsible kinase in maize is unknown. We have previously shown that down-regulation of CDKA;1 severely inhibits the endoreduplication cell cycle and suggested that CDK may be an up-stream regulator of the retinoblastoma pathway. We discovered two types of maize RBR genes, RBR1 and RBR3, which differ in terms of structure, regulation and function. Phylogenetic analyses indicate that these genes may be distinctive features of the Poaceae. We found that RBR3 plays a positive rather than a negative role in DNA replication, cell transformation, and the expression of the minichromosome maintenance (MCM)2-7 family of DNA replication factors. These features are a paradigm shift in RBR gene function and appear to be unique within the RBR gene family. They suggest the existence in maize and related cereal crops of specific RBR/E2F-dependent pathways impinging on the cell cycle and development. RBR1 was down-regulated in transgenic endosperm using RNAi approaches. This resulted in the de-repression of a number of down-stream E2F targets, including RBR3, the MCM2-7 gene family, DNA methyltransferase (MET)1, CDKB;1, and the recently identified RBR4 gene. It also increased endosperm ploidy levels, stimulated the production of a larger number of cells, reduced the average cell size, and promoted programmed cell death. To test whether CDKA;1 inhibits RBR1 (through phosphorylation) in the pathway that leads to DNA synthesis and endoreduplication, the two CDKA;1 and RBR1 down-regulated mutants were crossed and their progeny analyzed. Our results indicate that CDKA;1 controls endoreduplication through an RBR1-dependent pathway. However, the ability of RBR1 to repress gene expression programs is independent from CDKA1, suggesting the presence of two differently regulated RBR1 activities in developing endosperm. One type of RBR1 activity controls E2F-dependent gene expression and is largely independent from CDKA;1, while another suppresses endoreduplication and can be inhibited by CDKA;1. In addition, RBR1 is part of a regulatory feedback loop that impinges on CDK activity. Together, these results indicate that the CDKA;1-RBR1 pathway integrates and controls different processes associated with endosperm development. Genome-wide analyses of the transcriptome, metabolome, and epigenetic mechanisms to understand how the cell cycle is coordinated with other pathways at a systems biology level are currently underway.

59 BASIC BIOLOGICAL SCIENCES↗
DOE OSTI2013

G2 Checkpoint Responses in Arabidopsis

This project focused on the mechanism and biological significance of the G2 arrest response to replication stress in plants. We employed both forward and reverse genetic approaches to identify genes required for this response. A total of 3 different postdocs, 5 undergraduates, and 2 graduate students participated in the project. We identified several genes required for damage response in plants, including homologs of genes previously identified in animals (ATM and ATR), novel, a plant-specific genes (SOG1) and a gene known in animals but previously thought to be missing from the Arabidopsis genome (ATRIP). We characterized the transcriptome of gamma-irradiated plants, and found that plants, unlike animals, express a robust transcriptional response to damage, involving genes that regulate the cell cycle and DNA metabolism. This response requires both ATM and the transcription factor SOG1. We found that both ATM and ATR play a role in meiosis in plants. We also found that plants have a cell-type-specific programmed cell death response to ionizing radiation and UV light, and that this response requires ATR, ATM, and SOG1. These results were published in a series of 5 papers.

59 BASIC BIOLOGICAL SCIENCES↗
DOE OSTI2012

Systems-Level Description of Metabolic and Regulatory Pathways for a Hydrogen-Producing Model Microorganism

We sought to improve our understanding of the metabolic and regulatory networks that control hydrogen (H 2 ) production in the hyperthermophilic marine archaeon Pyrococcus furiosus (Pf), a model microbial H 2 producer. We used an approach based on genomic and transcriptomic analyses of stress response along with genetic and biochemical characterization of identified pathways to further define control checkpoints in H 2 production that will be valuable in future metabolic engineering efforts.

Scott, Robert↗
DOE OSTI2014

Enhanced vector borne disease surveillance of California Culex mosquito populations reveals spatial and species-specific barriers of infection

Monitoring infections in vectors such as mosquitoes,sand flies, tsetse flies, and ticks to identify human pathogens may serve as an early warning detection system to direct local government disease preventive measures. One major hurdle in detection is the ability to screen large numbers of vectors for human pathogens without the use of genotype-specific molecular techniques. Next generation sequencing (NGS) provides an unbiased platform capable of identifying known and unknown pathogens circulating within a vector population, but utilizing this technology is time-consuming and costly for vector-borne disease surveillance programs. To address this we developed cost-effective Ilumina® RNA-Seq library preparation methodologiesin conjunction with an automated computational analysis pipeline to characterize the microbial populations circulating in Culex mosquitoes (Culex quinquefasciatus, Culex quinquefasciatus/pipiens complex hybrids, and Culex tarsalis) throughout California. We assembled 20 novel and well-documented arboviruses representing members of Bunyaviridae, Flaviviridae, Ifaviridae, Mesoniviridae, Nidoviridae, Orthomyxoviridae, Parvoviridae, Reoviridae, Rhabdoviridae, Tymoviridae, as well as several unassigned viruses. In addition, we mapped mRNA species to divergent species of trypanosoma and plasmodium eukaryotic parasites and characterized the prokaryotic microbial composition to identify bacterial transcripts derived from wolbachia, clostridium, mycoplasma, fusobacterium and campylobacter bacterial species. We utilized these microbial transcriptomes present in geographically defined Culex populations to define spatial and mosquito species-specific barriers of infection. The virome and microbiome composition identified in each mosquito pool provided sufficient resolution to determine both the mosquito species and the geographic region in California where the mosquito pool originated. This data provides insight into the complexity of microbial species circulating in medically important Culex mosquitoes and their potential impact on the transmission of vector-borne human/veterinary pathogens in California.

Langevin, Stanley↗
DOE OSTI2014

DHS Internship Final Report

This summer I worked on projects that involved RNA sequencing of pathogens after an infection of host cells. The goal of these projects was to continue developing pathogen enrichment strategies for transcriptomic analysis, and also to perform hostpathogen interaction studies.

59 BASIC BIOLOGICAL SCIENCES↗
DOE OSTI2015

Final Report Systems Level Analysis of the Function and Adaptive Responses of Methanogenic Consortia

The purpose of this research was to determine whether the syntrophic microbial associations that are central to the functioning of methane-producing terrestrial wetlands can be predictively modeled with coupled multi-species genome-scale metabolic models. Such models are important because methane is an important greenhouse gas and there is a need to predictively model how the methane-producing microbial communities will respond to environmental perturbations, such as global climate change. The research discovered that the most prodigious methane-producing microorganisms on earth participate in a previously unrecognized form of energy exchange. The methane-producers Methanosaeta and Methanosarcina forge biological electrical connections with other microbes in order to obtain electrons to reduce carbon dioxide to methane. This direct interspecies electron transfer (DIET) was demonstrated in complex microbial communities as well as in defined co-cultures. For example, metatranscriptomic analysis of gene expression in both natural communities and defined co-cultures demonstrated that Methanosaeta species highly expressed genes for the enzymes for the reduction of carbon dioxide to methane. Furthermore, Methanosaeta’s electron-donating partners highly expressed genes for the biological electrical connections known as microbial nanowires. A series of studies involving transcriptomics, genome resequencing, and analysis of the metabolism of a series of strains with targeted gene deletions, further elucidated the mechanisms and energetics of DIET in methane-producing co-cultures, as well as in a co-culture of Geobacter metallireducens and Geobacter sulfurreducens, which provided a system for studying DIET with two genetically tractable partners. Genome-scale modeling of DIET in the G. metallireducens/G. sulfurreducens co-culture suggested that DIET provides more energy to the electron-donating partner that electron exchange via interspecies hydrogen transfer, but that the performance of DIET may be strongly influenced by environmental factors. These studies have significantly modified conceptual models for carbon and electron flow in methane-producing environments and have developed a computational framework for predictive modeling the influence of environmental perturbations on methane-producing microbial communities. The results have important implications for modeling the response of methane-producing microbial communities to climate change as well as for the bioenergy strategy of converting wastes and biomass to methane.

59 BASIC BIOLOGICAL SCIENCES↗
DOE OSTI2015

Identification of genes that regulate phosphate acquisition and plant performance during arbuscular my corrhizal symbiosis in medicago truncatula and brachypodium distachyon

Most vascular flowering plants have the ability to form symbiotic associations with arbuscular mycorrhizal (AM) fungi. The symbiosis develops in the roots and can have a profound effect on plant productivity, largely through improvements in plant mineral nutrition. Within the root cortical cells, the plant and fungus create novel interfaces specialized for nutrient transfer, while the fungus also develops a network of hyphae in the rhizosphere. Through this hyphal network, the fungus acquires and delivers phosphate and nitrogen to the root. In return, the plant provides the fungus with carbon. In addition, to enhancing plant mineral nutrition, the AM symbiosis has an important role in the carbon cycle, and positive effects on soil health. Here we identified and characterized plant genes involved in the regulation and functioning of the AM symbiosis in Medicago truncatula and Brachypodium distachyon. This included the identification and and characterization of a M. truncatula transcription factors that are required for symbiosis. Additionally, we investigated the molecular basis of functional diversity among AM symbioses in B. distachyon and analysed the transcriptome of Brachypodium distachyon during symbiosis.

59 BASIC BIOLOGICAL SCIENCES↗