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Lindner, B. G.

Publications and source records attributed to Lindner, B. G..

6 recordsLinked to original sources

Coupling Stickland fermentation with reverse β-oxidation represents a new mode of medium-chain carboxylate production

Biotechnologies for producing medium-chain carboxylic acids (MCCAs) by chain elongating bacteria (CEB) promise to shift the oleochemical industry away from existing land use practices, vulnerable supply chains, and significant environmental costs. Realizing this potential requires a broader understanding of CEB physiology, which is currently based on lactate and ethanol utilization, despite these bacteria thriving in protein-rich digestive tracts and organic waste bioreactors. Through comparative genomic analysis of known MCCA producers and physiological examination of the recently isolated species Peptonella octanoica and other members of its genus as a model system, we show that amino acid utilization is a broadly distributed yet largely overlooked trait of many CEB. Among several amino acid-fermenting lineages, a conserved metabolic architecture couples Stickland fermentation with reverse beta-oxidation (R{beta}O), enabling MCCA production when acetate or electron-accepting amino acids are limiting. We show how this coupling manages thermodynamic constraints on lactate and amino acid oxidation by driving longer-chain product formation as hydrogen partial pressure increases. We further reveal that amino acid-fermenting CEB are abundant not only in gut microbiomes but also engineered bioreactors, where their novel physiology provides a mechanistic basis for high titer n-octanoate production from proteinaceous organic wastes. Beyond biomanufacturing, these findings broaden our understanding of CEB across anaerobic microbiomes in which amino acid fermentation and chain elongation are intersecting ecological strategies.

microbiology↗

Peptonella octanoica gen. nov., sp. nov., a new medium-chain carboxylate-producing bacterium, and the reclassification of Eubacterium pyruvativorans as Peptonella pyruvativorans comb. nov.

A strictly anaerobic bacterial strain, F2T, was isolated from an anaerobic bioreactor fermenting source-separated organic waste. Cells of strain F2T are non-spore-forming, rod-shaped (1.5-2.5 x 0.27-0.33 m), and Gram-negative, although they possess a monoderm cell wall architecture. The strain grew at 37 degrees C within a pH range of 5 to 8 and produced short-, branched-, and medium-chain carboxylates as well as ammonium, H2 and CO2, with acetate and propanoate produced or consumed depending on fermentation conditions. The genome consists of a single 2.4 Mbp chromosome with a G+C content of 50.2% and 2,131 predicted genes. Phylogenetic analysis of the 16S rRNA gene against other isolates revealed that strain F2T is most similar to Eubacterium pyruvativorans I-6T (92.06% 16S rRNA identity). Based on further phenotypic, genomic, and phylogenetic analysis, strain F2T represents a novel genus and species within the family Anaerovoracaceae with the proposed name Peptonella octanoica gen. nov. sp. nov. The type strain is F2T (strain accession pending). As a member of this same genus-level clade, we propose reclassifying Eubacterium pyruvativorans as Peptonella pyruvativorans comb. nov. These findings disambiguate Peptonella spp. from the phylogenetically distant and phenotypically distinct Eubacterium limosum ATCC 8486T.

microbiology↗

Long-term Production and Recovery of Medium-Chain Carboxylates from Source-Separated Organics

Source-separated organics (SSO) are widely processed via anaerobic digestion to produce biogas, yet alternative conversion pathways could generate higher-value products. Here, we demonstrate long-term continuous production and recovery of medium-chain carboxylic acids (MCCAs) from SSO via microbial chain elongation using a bench-scale anaerobic bioreactor operated for 911 days. The bioreactor was fed with SSO samples collected from two full-scale municipal organics processing facilities in Toronto, Canada, capturing facility-specific and seasonal variability in SSO composition. MCCA production was closely associated with the availability of lactate as an electron donor, which varied with SSO preprocessing operations and outdoor collection temperatures. To mitigate product inhibition, an in-line extraction system using hollow-fiber polydimethylsiloxane (PDMS, also known as silicone polymer) membranes was integrated with the anaerobic membrane bioreactor, providing a robust and solvent-free alternative to solvent-based extraction methods. Selective extraction reduced MCCA product inhibition when lactate availability was not limiting, resulting in maximum MCCA yields and production rates of 0.31 g MCCA g-1 VSfeed and 0.84 g L-1 day-1, respectively, with notable octanoic acid production (up to 20% of total MCCA). Acidification of the alkaline extract produced a phase-separated MCCA-rich oil (0.88 g MCCA g-1 oil) without the addition of downstream separation steps. Microbial community analysis of the bioreactor revealed enrichment of putative chain-elongating bacteria, including Eubacterium and Pseudoramibacter species, while shifts in SSO feedstock microbiomes influenced substrate availability and product spectra. These results demonstrate the feasibility of sustained MCCA production from municipal organic waste streams and highlight opportunities to integrate chain elongation with existing anaerobic digestion infrastructure.

bioengineering↗

Advancing source tracking: systematic review and source-specific genome database curation of fecally shed prokaryotes

Approaches for shotgun metagenomic sequencing are being adapted to many environmental monitoring tasks but remain poorly suited for source attribution within fecal source tracking (FST) studies due to a lack of knowledge regarding the source specificity of fecally shed microbial populations. To address this gap, we performed a systematic literature review and curated a large collection of genomes (n=26,018) representing fecally shed prokaryotic species across broad and narrow source categories commonly implicated in FST studies of recreational waters (i.e., cats, dogs, cows, seagulls, chickens, pigs, birds, ruminants, human feces, and wastewater). These data include genome sequences recovered from metagenomic and isolation-based studies which we examined extensively with comparative genomic approaches to characterize trends across source categories and produce a finalized genome database for each source category which is available online (n=12,730). We find that across these sources, the total number of genomes recovered varies substantially: from none in seagulls to 9,085 in pigs. According to available data, on average 81% of the genomes representing species-level populations occur only within a single source. Using fecal slurries to test the performance of each source database, we report read capture rates that vary with fecal source alpha diversity and database size. Lastly, while extensive work has been performed on the rumen system of cows and other ruminants, we note the scarcity of genomic characterization of prokaryotes in the feces of these animals. We expect this resource to be useful to FST-related objectives, One Health research, and sanitation efforts globally. Table of Contents Graphical Abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=149 SRC="FIGDIR/small/598882v1_ufig1.gif" ALT="Figure 1"> View larger version (34K): org.highwire.dtl.DTLVardef@daeadcorg.highwire.dtl.DTLVardef@713d09org.highwire.dtl.DTLVardef@5e538borg.highwire.dtl.DTLVardef@bed833_HPS_FORMAT_FIGEXP M_FIG C_FIG SynopsisWe curate nine prokaryotic genomic databases for fecal source-tracking, summarize their source-specificity, and show their usefulness by bioinformatically testing mock impaired surface water samples.

bioinformatics↗

Novel municipal sewage-associated bacterial genomes and their potential in source tracking

Little is known about the genomic diversity of raw municipal wastewater (sewage) microbial communities, including to what extent sewage-specific populations exist and how they can be used to improve source attribution and partitioning in sewage-contaminated waters. Herein, we used the influent of three wastewater treatment plants in Atlanta, Georgia (USA) as inoculum in multiple controlled laboratory mesocosms to simulate sewage contamination events and followed these perturbed freshwater microbial communities with metagenomics over a 7-day observational period. We describe 15 abundant non-redundant bacterial metagenome-assembled genomes (MAGs) ubiquitous within all sewage inoculum yet absent from the unperturbed freshwater control at our analytical limit of detection. Tracking the dynamics of populations represented by these MAGs revealed varied decay kinetics, depending on (inferred) phenotypes, e.g., anaerobes decayed faster under the well-aerated incubation conditions. Notably, a portion of these populations show decay patterns similar to common markers, Enterococcus and HF183. Comparisons against MAGs from different sources such as human and animal feces, revealed low cross-reactivity, indicating how genomic collections could be used to sensitively identify sewage contamination and partition signal among multiple sources. Overall, our results indicate the usefulness of metagenomic approaches for assessing sewage contamination in waterbodies and provides needed methodologies for doing so.

microbiology↗

Metagenome-based comparisons of decay rates and host-specificity of fecal microbial communities for improved microbial source tracking

Fecal material in the environment is a primary source of pathogens that cause waterborne diseases and affect over a billion people worldwide. Microbial source tracking (MST) assays based on single genes (e.g., 16S rRNA) do not always provide the resolution needed to attribute fecal contamination sources. In this work, we used dialysis bag mesocosms simulating a freshwater habitat that were spiked separately with cow, pig, or human feces to monitor the decay of host-specific fecal signals over time with metagenomics, traditional qPCR, and culture-based methods. Sequencing of the host fecal communities used as inocula recovered 79 non-redundant metagenome-assembled genomes (MAGs) whose abundance patterns showed that the majority of the fecal community signal was not detectable in the mesocosm metagenomes after four days. Several MAGs showed high host specificity, and thus are promising candidates for biomarkers for their respective host type. Traditional qPCR methods varied in their correlation with MAG decay kinetics. Notably, the human-specific Bacteroides assay, HF183/BFDRev, consistently under-estimated fecal pollution due to not being present in all hosts and/or primer mismatches. This work provides new insights on the persistence and decay kinetics of host-specific gut microbes in the environment and identifies several MAGs as putative biomarkers for improved MST. SYNOPSISWe track cow, pig, and human fecal pollution in lake water over time with metagenomics and benchmark these novel protocols against standard culture-based and qPCR tests for water quality monitoring.

microbiology↗