Biology subjects

Singer, S. W.

Publications and source records attributed to Singer, S. W..

9 recordsLinked to original sources

bioRxiv2025

Carbon-Efficient Conversion through Hydrogen and Formate-Driven Metabolism in Escherichia coli

Product yields for biomanufacturing processes are often constrained by the tight coupling of cellular energy generation and carbon metabolism in sugar-based fermentation systems. To overcome this limitation, we engineered Escherichia coli to utilize hydrogen gas (H2) and formate (HCOO-) as alternative sources of energy and reducing equivalents, thereby decoupling energy generation from carbon metabolism. This approach enabled precise suppression of decarboxylative oxidation during acetate growth, with 86.6 {+/-} 1.6% of electrons from hydrogen gas (via soluble hydrogenase from Cupriavidus necator H16) and 98.4 {+/-} 3.6% of electrons from formate (via formate dehydrogenase from Pseudomonas sp. 101) offsetting acetate oxidation. Hydrogen gas supplementation led to a titratable and stoichiometric reduction in CO2 evolution in acetate-fed cultures. Metabolomic analysis suggests that this metabolic decoupling redirects carbon flux through the glyoxylate shunt, partially bypassing two decarboxylative steps in the TCA cycle. We demonstrated the utility of this strategy by applying it to mevalonate biosynthesis, where formate supplementation during glucose fermentation increased titers by 57.6% in our best-performing strain. Flux balance analysis further estimated that 99.0 {+/-} 2.8% of electrons from formate were used to enhance mevalonate production. These findings highlight a broadly applicable strategy for enhancing biomanufacturing efficiency by leveraging external reducing power to optimize feedstock and energy use. Graphical Abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=65 SRC="FIGDIR/small/657096v2_ufig1.gif" ALT="Figure 1"> View larger version (18K): org.highwire.dtl.DTLVardef@12f77dborg.highwire.dtl.DTLVardef@165d6c1org.highwire.dtl.DTLVardef@f6302forg.highwire.dtl.DTLVardef@d59bb3_HPS_FORMAT_FIGEXP M_FIG C_FIG Created in BioRender. Panich, J. (2025) https://BioRender.com/0tmtp94

synthetic biology↗

bioRxiv2024

Functional plasticity of HCO3- uptake and CO2 fixation in Cupriavidus necator H16

Uptake and fixation of CO2 are central to strategies for CO2-based biomanufacturing. Cupriavidus necator H16 has emerged as a promising industrial host for this purpose. Despite its prominence, the ability to engineer C. necator inorganic carbon uptake and fixation is underexplored. Here, we test the role of endogenous and heterologous genes on C. necator inorganic carbon metabolism. Deletion of one of the four carbonic anhydrases in C. necator, {beta}-carbonic anhydrase can, had the most deleterious effect on C. necator autotrophic growth. Replacement of this native uptake system with several classes of dissolved inorganic carbon (DIC) transporters from Cyanobacteria and chemolithoautotrophic bacteria recovered autotrophic growth and supported higher cell densities compared to wild-type (WT) C. necator in saturating CO2 in batch culture. Several heterologous strains with Halothiobacillus neopolitanus DAB2 (hnDAB2) expressed from the chromosome in combination with diverse rubisco homologs grew in CO2 equally or better than the wild-type strain. Our experiments suggest that the primary role of Can carbonic anhydrase during autotrophic growth is for bicarbonate accumulation to support anaplerotic metabolism, and an array of DIC transporters can complement this function. This work demonstrates flexibility in HCO3- uptake and CO2 fixation in C. necator, providing new pathways for CO2-based biomanufacturing. Graphical abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=166 SRC="FIGDIR/small/593039v1_ufig1.gif" ALT="Figure 1"> View larger version (37K): org.highwire.dtl.DTLVardef@83c601org.highwire.dtl.DTLVardef@13ca34forg.highwire.dtl.DTLVardef@5b7f8org.highwire.dtl.DTLVardef@1710e48_HPS_FORMAT_FIGEXP M_FIG C_FIG

synthetic biology↗

bioRxiv2022

Revealing Pentose Catabolism in Pseudomonas putida

The Pseudomonas putida group in the Gammaproteobacteria has been intensively studied for bioremediation and plant growth promotion. Members of this group have recently emerged as promising hosts to convert intermediates derived from plant biomass to biofuels and biochemicals. However, most strains of P. putida cannot metabolize pentose sugars derived from hemicellulose. Here we describe three isolates that provide a broader view of the pentose sugar catabolism in the P. putida group. One of these isolates clusters with the well-characterized P. alloputida KT2440 (strain BP6); the second isolate clustered with plant growth-promoting strain P. putida W619 (strain M2), while the third isolate represents a new species in the group (strain BP8). Each of these isolates possessed homologous genes for oxidative xylose catabolism (xylDXA) and a potential xylonate transporter. Strain M2 grew on arabinose and had genes for oxidative arabinose catabolism (araDXA). A CRISPRi system was developed for strain M2 and identified conditionally essential genes for xylose growth. A glucose dehydrogenase was found to be responsible for initial oxidation of xylose and arabinose in strain M2. These isolates have illuminated inherent diversity in pentose catabolism in the P. putida group and may provide alternative hosts for biomass conversion. Originality-Significance StatementMembers of the Pseudomonas putida group are intensively studied for their role in plant growth promotion and biomass conversion. Despite this interest, the scope of pentose oxidation, key sugars in plant biomass, in this group is not known. Here, we report targeted isolation of members of the P. putida group that grow by xylose and arabinose oxidation. Using a combined genomic and proteomic approach, we identify gene products involved in pentose oxidation and identify conditionally essential genes for xylose oxidation using a CRISPRi gene repression approach. This work describes a targeted isolation and analysis strategy that may applied for many microbial groups of industrial and agricultural interest.

microbiology↗

bioRxiv2022

Trajectories for the evolution of bacterial CO2-concentrating mechanisms

Cyanobacteria rely on CO2 concentrating mechanisms (CCMs) that depend on {approx}15 genes to produce two protein complexes: an inorganic carbon (Ci) transporter and a 100+ nm carboxysome compartment that encapsulates rubisco with a carbonic anhydrase (CA) enzyme. Mutations disrupting CCM components prohibit growth in todays atmosphere (0.04% CO2), indicating that CCMs evolved to cope with declining environmental CO2. Indeed, geochemical data and models indicate that atmospheric CO2 has been generally decreasing from high concentrations over the last {approx}3.5 billion years. We used a synthetic reconstitution of a bacterial CCM in E. coli to study the co-evolution of CCMs with atmospheric CO2. We constructed strains expressing putative ancestors of modern CCMs -- strains lacking one or more CCM components -- and evaluated their growth in a variety of CO2 concentrations. Partial forms expressing CA or Ci uptake genes grew better than controls in intermediate CO2 levels ({approx}1%); we observed similar phenotypes in genetic studies of two autotrophic bacteria, H. neapolitanus and C. necator. To explain how partial CCMs improve growth, we advance a model of co-limitation of autotrophic growth by CO2 and HCO3-, as both are required to produce biomass. Our model and results delineated a viable trajectory for bacterial CCM evolution where decreasing atmospheric CO2 induces an HCO3- deficiency that is alleviated by acquisition of CAs or Ci uptake genes, thereby enabling the emergence of a modern CCM. This work underscores the importance of considering physiology and environmental context when studying the evolution of biological complexity. SignificanceThe greenhouse gas content of the ancient atmosphere is estimated using models and measurements of geochemical proxies. Some inferred high ancient CO2 levels using models of biological CO2 fixation to interpret the C isotopes found in preserved organic matter. Others argued that elevated CO2 could reconcile a faint young Sun with evidence for liquid water on Earth. We took a complementary "synthetic biological" approach to understanding the composition of the ancient atmosphere by studying present-day bacteria engineered to resemble ancient autotrophs. By showing that it is simpler to rationalize the emergence of modern bacterial autotrophs if CO2 was once high, these investigations provided independent evidence for the view that CO2 concentrations were significantly elevated in the atmosphere of early Earth.

microbiology↗

bioRxiv2022

Assessing Comparative Microbiome Performance in Plant Cell Wall Deconstruction Using Multi-omics-Informed Network Analysis

Plant cell walls are interwoven structures recalcitrant to degradation. Both native and adapted microbiomes are particularly effective at plant cell wall deconstruction. Studying these deconstructive microbiomes provides an opportunity to assess microbiome performance and relate it to specific microbial populations and enzymes. To establish a system assessing comparative microbiome performance, parallel microbiomes were cultivated on sorghum (Sorghum bicolor L. Moench) from compost inocula. Biomass loss and biochemical assays indicated that these microbiomes diverged in their ability to deconstruct biomass. Network reconstructions from time-dependent gene expression identified key deconstructive groups within the adapted sorghum-degrading communities, including Actinotalea, Filomicrobium, and Gemmanimonadetes populations. Functional analysis of gene expression demonstrated that the microbiomes proceeded through successional stages that are linked to enzymes that deconstruct plant cell wall polymers. This combination of network and functional analysis highlighted the importance of celluloseactive Actinobacteria in differentiating the performance of these microbiomes.

microbiology↗

bioRxiv2020

Development of genetic tools for the thermophilic filamentous fungus Thermoascus aurantiacus

BackgroundFungal enzymes are vital for industrial biotechnology, including the conversion of plant biomass to biofuels and bio-based chemicals. In recent years, there is increasing interest in using enzymes from thermophilic fungi, which often have higher reaction rates and thermal tolerance compared to currently used fungal enzymes. The thermophilic filamentous fungus Thermoascus aurantiacus produces large amounts of highly thermostable plant cell wall degrading enzymes. However, no genetic tools have yet been developed for this fungus, which prevents strain engineering efforts. The goal of this study was to develop strain engineering tools such as a transformation system, a CRISPR/Cas9 gene editing system and a sexual crossing protocol to improve enzyme production. ResultsHere we report Agrobacterium tumefaciens-mediated transformation (ATMT) of T. aurantiacus using the hph marker gene, conferring resistance to hygromycin B. The newly developed transformation protocol was optimized and used to integrate an expression cassette of the transcriptional xylanase regulator xlnR, which led to up to 500% increased xylanase activity. Furthermore, a CRISPR/Cas9 gene editing system was established in this fungus, and two different gRNAs were tested to delete the pyrG orthologue with 10% and 35% deletion efficiency, respectively. Lastly, a sexual crossing protocol was established using a hygromycin B- and a 5-fluororotic acid-resistant parent strain. Crossing and isolation of progeny on selective media was completed in a week. ConclusionThe genetic tools developed for T. aurantiacus can now be used individually or in combination to further improve thermostable enzyme production by this fungus.

microbiology↗

bioRxiv2018

Methyl ketone production by Pseudomonas putida is enhanced by plant-derived amino acids

Plant biomass is an attractive source of renewable carbon for conversion to biofuels and bio-based chemicals. Conversion strategies often use a fraction of the total biomass, focusing on sugars from cellulose and hemicellulose. Strategies that use plant components such as plant-derived aromatics and amino acids have the potential to improve the efficiency of overall biomass conversion. Pseudomonas putida is a promising host for biomass conversion for its ability to metabolize a wide variety of organic compounds, including aromatics derived from lignin. P. putida was engineered to produce medium chain methyl ketones, which are promising diesel blendstocks and potential platform chemicals, from glucose and lignin-related aromatics, 4-hydroxybenzoate (4-HB) and protocatechuate (PCA). Unexpectedly, P. putida methyl ketone production was enhanced 2-to 5-fold compared to sugar controls when Arabidopsis thaliana hydrolysates derived from engineered plants that overproduce 4-HB and PCA, while E. coli production was lowered in these hydrolysates. This enhancement was more pronounced (~7-fold increase) with hydrolysates derived from non-engineered switchgrass (Panicum virgatum L.) suggesting it did not arise from overproduction of 4-HB and PCA. Global proteomic analysis of the methyl ketone-producing P. putida suggested that plant-derived amino acids may be the source of this enhancement. Mass spectrometry-based measurements of plant-derived amino acids demonstrated a high correlation between methyl ketone production and amino acid concentration in plant hydrolysates. Amendment of glucose-containing minimal media with a defined mixture of amino acids similar to those found in the hydrolysates studied led to a 9-fold increase in methyl ketone titer (1.1 g/L).

bioengineering↗

bioRxiv2017

Plasmid DNA analysis of pristine groundwater microbial communities reveal extensive presence of metal resistance genes

Native plasmids constitute a major category of extrachromosomal DNA elements responsible for harboring and transferring genes important in survival and fitness. A focused evaluation of plasmidomes can reveal unique adaptations required by microbial communities. We examined the plasmid DNA from two pristine wells at the Oak Ridge Field Research Center. Using a cultivation-free method that targets plasmid DNA, a total of 42,440 and 32,232 (including 67 and 548 complete circular units) scaffolds > 2 kb were obtained from the two wells. The taxonomic distribution of bacteria in the two wells showed greater similarity based on their plasmidome sequence, relative to 16S rRNA sequence comparison. This similarity is also evident in the plasmid encoded functional genes. Among functionally annotated genes, candidates providing resistance to copper, zinc, cadmium, arsenic, and mercury were particularly abundant and common to the plasmidome of both wells. The primary function encoded by the most abundant circularized plasmid, common to both wells, was mercury resistance, even though the current ground water does not contain detectable levels of mercury. This study reveals that the plasmidome can have a unique ecological role in maintaining the latent capacity of a microbiome enabling rapid adaptation to environmental stresses.

microbiology↗

bioRxiv2017

Critical Assessment of Metagenome Interpretation - a benchmark of computational metagenomics software

In metagenome analysis, computational methods for assembly, taxonomic profiling and binning are key components facilitating downstream biological data interpretation. However, a lack of consensus about benchmarking datasets and evaluation metrics complicates proper performance assessment. The Critical Assessment of Metagenome Interpretation (CAMI) challenge has engaged the global developer community to benchmark their programs on datasets of unprecedented complexity and realism. Benchmark metagenomes were generated from ~700 newly sequenced microorganisms and ~600 novel viruses and plasmids, including genomes with varying degrees of relatedness to each other and to publicly available ones and representing common experimental setups. Across all datasets, assembly and genome binning programs performed well for species represented by individual genomes, while performance was substantially affected by the presence of related strains. Taxonomic profiling and binning programs were proficient at high taxonomic ranks, with a notable performance decrease below the family level. Parameter settings substantially impacted performances, underscoring the importance of program reproducibility. While highlighting current challenges in computational metagenomics, the CAMI results provide a roadmap for software selection to answer specific research questions.

bioinformatics↗