Biology subjects

Hartmann, E. M.

Publications and source records attributed to Hartmann, E. M..

11 recordsLinked to original sources

bioRxiv2026

Benchmarking Microbiome Methods for Improved Metagenomic Sequencing of Lower Respiratory Tract Samples

Bronchoalveolar lavage is a common diagnostic strategy used to sample immune cells and microbiota of the lower respiratory tract. Metagenomic sequencing of raw bronchoalveolar lavage fluid reveals a low biomass microbial community often obscured by abundant host DNA. Here, we set out to determine an optimal strategy to robustly purify microbial DNA in excess of human DNA using a combinatorial lysis, host-depletion, DNA extraction approach. We identify strategies that improve metagenomic sequencing success that are commensurate with purification challenges that reduce signal from respiratory microbiota. Finally, we present a general framework to further improve microbial sequencing of lower respiratory tract samples in a robust and reproducible manner.

microbiology↗

bioRxiv2025

Comparative Metagenomics of Soda Lakes and the Rumen Reveals Novel Microbial Lineages and Carbohydrate-active Enzyme Diversity

Microbial communities have evolved diverse strategies to metabolize similar substrates, shaped by environmental pressures and interspecies interactions. Comparative analyses across extreme and host-associated ecosystems are essential for uncovering novel microbial diversity, functional adaptations, and enzymes with industrial relevance. Here, we present a comparative metagenomic analysis of two ecologically distinct environments, highly alkaline-saline soda lakes, and the host-associated rumen to investigate microbial diversity, metabolic potential, and carbohydrate-active enzyme (CAZyme) repertoires. Taxonomic profiling revealed distinct microbial signatures: soda lake microbiomes were dominated by Proteobacteria, particularly Halomonas, and Nitrincola, while the rumen was enriched in Bacteroidota, Fibrobacteres, and Firmicutes, with Prevotella and Fibrobacter as key taxa. The soda lake MAGs exhibit greater evolutionary divergence, suggesting the presence of novel microbial lineages. Codon usage profiling revealed distinct patterns of GC3 bias, suggesting divergent translational optimization strategies shaped by environmental constraints. CAZyme profiling uncovered ecosystem-specific glycoside hydrolase repertoires, with the rumen enriched in plant fiber-degrading enzymes and soda lakes exhibiting broader GH diversity adapted to high salinity and alkalinity. These findings highlight distinct microbial and enzymatic strategies for carbon cycling and position soda lakes as promising reservoirs of extremophile-adapted enzymes for biotechnological applications.

microbiology↗

bioRxiv2024

Evaluating metagenomic analyses for undercharacterized environments: what's needed to light up the microbial dark matter?

Non-human-associated microbial communities play important biological roles, but they remain less understood than human-associated communities. Here, we assess the impact of key environmental sample properties on a variety of state-of-the-art metagenomic analysis methods. In simulated datasets, all methods performed similarly at high taxonomic ranks, but newer marker-based methods incorporating metagenomic assembled genomes outperformed others at lower taxonomic levels. In real environmental data, taxonomic profiles assigned to the same sample by different methods showed little agreement at lower taxonomic levels, but the methods agreed better on community diversity estimates and estimates of the relationships between environmental parameters and microbial profiles.

microbiology↗

bioRxiv2024

Functional metagenomic discovery of novel tetracycline and acarbose resistance genes from low biomass samples using METa assembly

A significant challenge in the field of microbiology is the functional annotation of sequence novel genes from microbiomes. The increasing pace of sequencing technology development has made solving this challenge in a high-throughput manner even more important. Functional metagenomics offer a sequence-naive and cultivation-independent solution. Unfortunately, most methods for constructing functional metagenomic libraries require large input masses of metagenomic DNA, putting many sample types out of reach. Here, we show that our functional metagenomic library preparation method, METa assembly, can be used to prepare useful libraries from much lower input DNA quantities. Standard methods of functional metagenomic library preparation generally call for 5 g to 60 g of input metagenomic DNA. We demonstrate that the threshold for input DNA mass can be lowered at least to 30.5 ng, a three-log decrease from prior art. We prepared functional metagenomic libraries using between 30.5 ng and 100 ng of metagenomic DNA, and found that, despite their limited input mass, they were sufficient to link MFS transporters lacking substrate-specific annotations to tetracycline resistance and to capture a gene encoding a sequence novel GNAT family acetyltransferase that represents a new streptothricin acetyltransferase, satB. Our preparation of functional metagenomic libraries from aquatic samples and a human stool swab demonstrate that METa assembly can be used to prepare functional metagenomic libraries from microbiomes that were previously incompatible with this approach.

microbiology↗

bioRxiv2023

A synthetic biology approach to assemble and reboot clinically-relevant Pseudomonas aeruginosa tailed phages

The rise in frequency of antibiotic resistance has made bacterial infections, specifically Pseudomonas aeruginosa, a cause for greater concern. Phage therapy is a promising solution that uses naturally isolated phages to treat bacterial infections. Ecological limitations, which stipulate a discrete host range and the inevitable evolution of resistance, may be overcome through a better understanding of phage biology and the utilization of engineered phages. In this study, we developed a synthetic biology approach to construct tailed phages that naturally target clinically-relevant strains of Pseudomonas aeruginosa. As proof of concept, we successfully cloned and assembled the JG024 and DMS3 phage genomes in yeast using transformation-associated recombination (TAR) cloning and rebooted these two phage genomes in two different strains of P. aeruginosa. We identified factors that affected phage reboot efficiency like the phage species or the presence of antiviral defense systems in the bacterial strain. We have successfully extended this method to two other phage species and observed that the method enables the reboot of phages that are naturally unable to infect the strain used for reboot. This research represents a critical step towards the construction of clinically-relevant, engineered P. aeruginosa phages. ImportancePseudomonas aeruginosa is a bacterium responsible for severe infections and a common major complication in cystic fibrosis. The use of antibiotics to treat bacterial infections has become increasingly difficult as antibiotic resistance has become more prevalent. Phage therapy is an alternative solution that is already being used in some European countries, but its use is limited by narrow host range due to the phage receptor specificity, the presence of antiviral defense systems in the bacterial strain, and the possible emergence of phage resistance. In this study, we demonstrate the use of a synthetic biology approach to construct and reboot clinically-relevant P. aeruginosa tailed phages. This method enables a significant expansion of possibilities through the construction of engineered phages for therapy applications.

synthetic biology↗

bioRxiv2023

Mitigation of Antimicrobial Resistance Genes in Greywater Treated at Household Level

Greywater often contains microorganisms carrying antimicrobial resistance genes (ARGs). Reuse of greywater thus potentially facilitates the enrichment and spread of multidrug resistance, posing a possible hazard for communities that use it. As water reuse becomes increasingly necessary, it is imperative to determine how greywater treatment impacts ARGs. In this study, we characterize ARG patterns in greywater microbial communities before and after treatment by a recirculating vertical flow constructed wetland (RVFCW). This greywater recycling method has been adopted by some small communities and households for greywater treatment; however, its ability to remove ARGs is unknown. We examined the taxonomic and ARG compositions of microbial communities in raw and treated greywater from five households using shotgun metagenomic sequencing. Total ARGs decreased in abundance and diversity in greywater treated by the RVFCW. In parallel, the microbial communities decreased in similarity in treated greywater. Potentially pathogenic bacteria associated with antimicrobial resistance and mobile genetic elements were detected in both raw and treated water, with a decreasing trend after treatment. This study indicates that RVFCW systems have the potential to mitigate antimicrobial resistance-related hazards when reusing treated greywater, but further measures need to be taken regarding persistent mobile ARGs and potential pathogens.

microbiology↗

bioRxiv2022

RefDeduR: A text-normalization and decision-tree aided R package enabling accurate and high-throughput reference deduplication for large datasets

As the scientific literature grows exponentially and research becomes increasingly interdisciplinary, accurate and high-throughput reference deduplication is vital in evidence synthesis studies (e.g., systematic reviews, meta-analyses) to ensure the completeness of datasets while reducing the manual screening burden. Existing tools fail to fulfill these emerging needs, as they are often labor-intensive, insufficient in accuracy, and limited to clinical fields. Here, we present RefDeduR, a text-normalization and decision-tree aided R package that enables accurate and high-throughput reference deduplication. We modularize the pipeline into text normalization, three-step exact matching, and two-step fuzzy matching processes. We also introduce a decision-tree algorithm, consider preprints when they co-exist with a peer-reviewed version, and provide actionable recommendations. Therefore, the tool is customizable, accurate, high-throughput, and practical. RefDeduR provides an effective solution to perform reference deduplication and represents a valuable advance in expanding the open-source toolkit to support evidence synthesis research.

scientific communication and education↗

bioRxiv2022

Survival and Transcriptomic Response of Clinically relevant pathogens on Surfaces in Relation to Probiotic and Traditional Cleaning Strategies

Indoor surfaces are paradoxically presumed to be both colonized by pathogens, necessitating disinfection, and "microbial wastelands." In these resource-poor, dry environments, competition and decay are thought to be important drivers of microbial community composition. However, the relative contributions of these two processes have not been specifically evaluated. To bridge this knowledge gap, we used microcosms to specifically evaluate whether interspecies interactions occur on surfaces. We combined transcriptomics and traditional microbiology techniques to investigate whether competition occurred between two clinically important pathogens, Acinetobacter baumannii and Klebsiella pneumoniae, and a probiotic cleaner containing a consortium of Bacillus species. Probiotic cleaning seeks to take advantage of ecological principles such as competitive exclusion, thus using benign microorganisms to inhibit viable pathogens, but there is limited evidence that competitive exclusion in fact occurs in environments of interest (i.e., indoor surfaces). Our results indicate that competition in this setting has a negligible impact on community composition but may influence the functions expressed by active organisms. Although Bacillus spp. remained viable on surfaces for an extended period of time after application, viable colony forming units (CFUs) of A. baumannii recovered following exposure to a chemical-based detergent with and without Bacillus spp. showed no statistical difference. Similarly, for K. pneumoniae, there were small statistical differences in CFUs between cleaning scenarios with or without Bacillus spp. in the chemical-based detergent. The transcriptome of A. baumannii with and without Bacillus spp. exposure shared a high degree of similarity in overall gene expression, but the transcriptome of K. pneumoniae differed in overall gene expression, including reduced response in genes related to antimicrobial resistance. Together, these results highlight the need to fully understand the underlying biological and ecological mechanisms for community assembly and function on indoor surfaces, as well as having practical implications for cleaning and disinfection strategies for infection prevention.

microbiology↗

bioRxiv2021

Density-based binning of gene clusters to infer function or evolutionary history using GeneGrouper

MotivationIdentifying gene clusters of interest in phylogenetically proximate and distant taxa can help to infer phenotypes of interest. Conserved gene clusters may differ by only a few genes, which can be biologically meaningful, such as the formation of pseudogenes or insertions interrupting regulation. These qualities may allow for unsupervised clustering of similar gene clusters into bins that provide a population-level understanding of the genetic variation in similar gene clusters. ResultsWe developed GeneGrouper, a command-line tool that uses a density-based clustering method to group gene clusters into bins. GeneGrouper demonstrated high recall and precision in benchmarks for the detection of the 23-gene Salmonella enterica LT2 Pdu gene cluster and four-gene Pseudomonas aeruginosa PAO1 Mex gene cluster in 435 genomes containing mixed taxa. In a subsequent application investigating the diversity and impact of gene complete and incomplete LT2 Pdu gene clusters in 1130 S. enterica genomes, GeneGrouper identified a novel, frequently occurring pduN pseudogene. When replicated in vivo, disruption of pduN with a frameshift mutation negatively impacted microcompartment formation. We next demonstrated the versatility of GeneGrouper by clustering both distant homologous gene clusters and variable gene clusters found in integrative and conjugative elements. AvailabilityGeneGrouper software and code are publicly available at https://github.com/agmcfarland/GeneGrouper.

bioinformatics↗

bioRxiv2021

Mosaic Ends Tagmentation (METa) assembly for extremely efficient construction of functional metagenomic librarie

Functional metagenomic libraries, physical bacterial libraries which allow the high-throughput capture and expression of microbiome genes, have been instrumental in the sequence-naive and cultivation-independent discovery of novel genes from microbial communities. Preparation of these libraries is limited by their high DNA input requirement and their low cloning efficiency. Here, we describe a new method, METa assembly, for extremely efficient functional metagenomic library preparation. We apply tagmentation to metagenomic DNA from soil and gut microbiomes to prepare DNA inserts for high-throughput cloning into functional metagenomic libraries. The presence of mosaic end sequences in the resulting DNA fragments synergizes with homology-based assembly cloning to result in a 300-fold increase in library size compared to traditional blunt cloning based protocols. Compared to published libraries prepared by state-of-the-art protocols we show that METa assembly is on average 23- to 270-fold more efficient and can be effectively used to prepare gigabase-sized libraries with as little as 200 ng of input DNA. We demonstrate the utility of METa assembly to capture novel genes based on their function by discovering novel aminoglycoside (26% amino acid identity) and colistin (36% amino acid identity) resistance genes in soil and goose gut microbiomes. METa assembly provides a streamlined, flexible, and efficient method for preparing functional metagenomic libraries, enabling new avenues of genetic and biochemical research into low biomass or scarce microbiomes. IMPORTANCEMedically and industrially important genes can be recovered from microbial communities by high-throughput sequencing but are limited to previously sequenced genes and their relatives. Cloning a metagenome en masse into an expression host to produce a functional metagenomic library is a sequence-naive and cultivation-independent method to discover novel genes. This directly connects genes to functions, but the process of preparing these libraries is DNA greedy and inefficient. Here we describe a library preparation method that is an order of magnitude more efficient and less DNA greedy. This method is consistently efficient across libraries prepared from cultures, a soil microbiome, and from a goose fecal microbiome and allowed us to discover novel antibiotic resistance genes. This new library preparation method will potentially allow for the functional metagenomic exploration of microbiomes that were previously off limits due to their rarity or low microbial biomass, such biomedical swabs or exotic samples.

microbiology↗

bioRxiv2018

Microbial and Metabolic Succession on Common Building Materials Under High Humidity Conditions

Despite considerable efforts to characterize the ecology of bacteria and fungi in the built environment (BE), the metabolic mechanisms underpinning their colonization and successional dynamics remain unclear. Here, we applied bacterial/viral particle counting, qPCR, 16S and ITS rRNA amplicon sequencing, and metabolomics to longitudinally characterize the ecological dynamics of four commonly used building materials maintained at high humidity conditions (~94% RH). We varied the natural inoculum provided to each material by placing them in different occupied spaces, and we wet the surface of half of the samples of each material to simulate a flooding event. As expected, different materials showed different bacterial and viral particle abundance, with wet materials having higher growth rates and lower alpha diversity compared to non-wetted materials. Wetting described the majority of the variance in bacterial, fungal and metabolite structure, and material type only influenced bacterial and metabolic diversity, while location of inoculation was only weakly associated with bacterial and fungal beta diversity. Metabolites indicative of microbial activity were identified, as were those that were native to the surface material. Glucose-phosphate was abundant on all materials (except mold-free gypsum) and was correlated with Enterobacteriaceae, which could indicate a potential bacterial nutrient source. A compound consistent with scopoletin, a plant metabolite with antimicrobial activity, was significantly negatively correlated with Bacillus and positively correlated with Pseudomonas and enriched in medium density fiberboard (MDF) materials. In wet samples, the alkaloids nigragillin and fumigaclavine C, both with antimicrobial properties, were significantly positively correlated with the fungal phylum Ascomycota. Nigragillin, was also negatively correlated with Bacillus and Pseudomonas abundance. Thiabendazole and azoxystrobin (anti-fungal compounds) were highly abundant on mold-resistant gypsum wallboard and likely directly influenced the decreased fungal growth observed on this material. The mold-resistant gypsum material also showed a significant increase in bacterial alpha diversity, and bacterial and viral particle abundance, as well as a decrease in metabolite diversity, likely a result of reduced fungal growth. Penicillium taxa were positively correlated with thiabendazole, which suggested the persistence of resistant strains. Also, specific to the wet samples, Bacillus abundance was positively correlated with the azoxystrobin, suggesting bi-directional competitive adaptation, and positively correlated with metabolites known to interfere with Pseudomonas biofilm formation, which could explain the anti-correlation between these taxa. As expected, high moisture conditions enabled faster growth of inoculating microorganisms, whose composition, chemistry, and competition was shaped by surface material, suggesting that both fungal and bacterial growth need to be considered when determining the impact of dampness in built environments.

microbiology↗