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Kimbrel, J. A.

Publications and source records attributed to Kimbrel, J. A..

15 recordsLinked to original sources

A Selenium-Deficient Mouse Model of Mouse-Adapted SARS-CoV-2 Demonstrates Variant Emergence Observed in SARS-CoV-2 Pandemic Variants

Host selenium deficiency has been shown to generate novel genetic variants in RNA viruses. With the predicted rise of selenium deficiency globally, we sought to determine if host selenium deficiency can be a predictive factor for RNA virus variant emergence. We utilized a selenium-deficient BALB/c mouse model to investigate how host selenium status influences the emergence of viral variants in mouse-adapted SARS-CoV-2. Mice were maintained on control or selenium-deficient diets and subjected to sequential rounds of diet-matched viral passage to generate diet-specific virus populations. Deep sequencing of passaged viral populations revealed that selenium-deficient passage drove a marked increase in inter-host genomic heterogeneity and produced a distinct mutational profile relative to control passage. Eighteen mutations were identified as unique to selenium-deficient passage, including variants previously observed during natural human SARS-CoV-2 evolution. These mutations were largely maintained at sub-consensus frequencies, indicating that selenium deficiency can expand the viral quasispecies landscape that enrichs reservoirs of adaptive potential. To determine how this altered mutant spectrum affected pathogenesis, we challenged normal diet-fed adult and aged BALB/c mice with control- or selenium-deficient-passaged virus. Although overt differences in weight loss, survival, and viral burden were generally modest, selenium-deficient-passaged virus induced pronounced increases in antiviral cytokine expression. Together, these findings identify host selenium deficiency as a driver of RNA virus population diversification and show that nutritionally stressed animal models can reproducibly generate mutations observed in nature.

microbiology↗

SIPdb: A stable isotope probing database and analytical dashboard for linking amplicon sequences to microbial activity using a reverse ecology approach

Stable isotope probing (SIP) provides a powerful means to connect microbial sequence data with diverse metabolic activities, but the lack of a framework for SIP-derived data has limited its integration into broader strategies for ecological inference. Here, we introduce the SIPdb, an extensible SQLite database of curated nucleic acid SIP experiments (also in phyloseq format) paired with an interactive RShiny dashboard for analysis and visualization. The initial release compiles 22 studies covering 21 isotopolog substrates across diverse environments, with data standardized using the MISIP metadata standard. In creating the SIPdb, we have provided a standardized pipeline that accommodates the three most common SIP gradient fractionation strategies (binary, multi-fraction, and density-resolved), two isotope incorporator designation strategies (fixed- and sliding-window), and four complementary differential abundance methods (DESeq2, edgeR, limma-voom, and ALDEx2). Using our pipeline, we identified more than 42,000 unique amplicon sequence variants as isotope incorporators across 62 phyla. Benchmarking with synthetic datasets demonstrated consistent performance across incorporator designation strategies, with ALDEx2 providing the highest specificity. Validation against original publications showed that, on average, SIPdb recovered 70.1% of author-reported incorporator taxa, with discrepancies arising from differences in phylotyping or classification approaches. Finally, our reanalysis of a non-SIP study of 1,4-dioxane degradation showed how SIPdb can both validate known degraders and uncover additional candidate taxa involved in community metabolism. The SIPdb establishes a scalable platform for reverse ecology, enabling hypothesis generation, cross-study meta-analysis, and linking taxa to metabolic processes, while serving as an open, extensible resource to accelerate ecological interpretation in microbiome research.

bioinformatics↗

Synthetic communities as a model for determining interactions between a biofertilizer chassis organism and native microbial consortia

Biofertilizers are critical for sustainable agriculture since they can replace ecologically disruptive chemical fertilizers while improving the trajectory of soil and plant health. Yet, to continue improving deployment, the persistence of designer biofertilizers within native soil consortia must be elucidated and enhanced. Here, we describe a high-throughput, modular, and automation-friendly in vitro approach to screen for biofertilizer organism persistence within soil-derived consortia after co-cultivation with stable synthetic soil microbial communities (SynComs) obtained through a top-down cultivation process. We profiled [~]1200 SynComs isolated from various soil sources and cultivated in divergent media types, and detected significant phylogenetic diversity (e.g., Shannon index > 4) and richness (Observed richness > 400) across these communities. We observed high reproducibility in SynCom community structure from common soil and media types, which provided a testbed for assessing biofertilizer persistence within representative native consortia. Furthermore, we demonstrate the screening method described herein can be coupled with microbial engineering to efficiently identify soil-derived SynComs where an engineered biofertilizer organism (i.e. Bacillus subtilis) persists. Additionally, our approach enables an analysis of the ecological impact of B. subtilis inoculation on SynCom structure and profile alterations in community diversity and richness (or lack thereof) associated with the presence of a genetically modified model bacterium. Ultimately, this work establishes a modular pipeline that could be integrated into a variety of microbiology/microbiome-relevant workflows or related applications that would benefit from assessing persistence and interaction of a specific organism of interest with native consortia.

systems biology↗

Phosphate amendment drives bloom of RNA viruses after soil wet-up

Soil rewetting after a dry period results in a surge of activity and succession in both microbial and DNA virus communities. Less is known about the response of RNA viruses to soil rewetting--while they are highly diverse and widely distributed in soil, they remain understudied. We hypothesized that RNA viruses would show temporal succession following rewetting and that phosphate amendment would influence their trajectory, as viral proliferation may cause phosphorus limitation. Using 39 time-resolved metatranscriptomes and amplicon data, 2,190 RNA viral populations were identified across five phyla, with 37% of these predicted to infect bacteria (26%) or fungi (11%). Only 1.2% of viral populations had annotated capsid genes, suggesting most persist via intracellular replication without a free virion phase. Phosphate amendment altered RNA viral community composition within the first week and amended vs. unamended communities remained distinguishable for up to three weeks. While the overall host community remained stable, certain bacterial populations showed reduced abundance in phosphate-amended soils, likely due to increased viral lysis, as RNA bacteriophages, particularly Leviviricetes, proliferated significantly. Notably, 60% of the viruses with increased abundance under phosphate amendment belonged to basal Lenarviricota clades rather than well-known groups like Leviviricetes. We estimate RNA bacteriophage infections may affect 107-109 bacteria per gram of soil, aligning with the total bacterial population (107-1010 g-1 soil), suggesting that RNA phages significantly influence bacterial communities post-wet-up, with phosphorus availability modulating this effect. HighlightsO_LISoil wet-up influences RNA virus dynamics for over a week C_LIO_LIThe majority of hosts predicted for RNA viruses were bacteria and fungi C_LIO_LIPhosphate amendment preferentially supports Lenarviricota over other RNA viruses C_LIO_LI60% of vOTUs that responded to phosphate were from unknown bacteriophage clades C_LIO_LIMost soil bacteria are predicted to be infected by RNA bacteriophages within a week C_LI

microbiology↗

Soil redox drives virus-host community dynamics and plant biomass degradation in tropical rainforest soils

BackgroundWet tropical forest soils store a vast amount of organic carbon and cycle over a third of terrestrial net primary production. The microbiomes of these soils have a global impact on greenhouse gases and tolerate a remarkably dynamic redox environment--driven by high availability of reductant, high soil moisture, and fine-textured soils that limit oxygen diffusion. Yet tropical soil microbiomes, particularly virus-host interactions, remain poorly characterized, and we have little understanding of how they will shape future soil carbon cycling as high-intensity drought and precipitation events make soil redox conditions less predictable. ResultsTo investigate the effects of shifting soil redox conditions on active viral communities and virus-microbe interactions, we conducted a 44-day redox manipulation experiment using soils from the Luquillo Experimental Forest, Puerto Rico, amended with 13C-enriched plant biomass. We sequenced 10 bulk metagenomes and 85 stable isotope probing targeted metagenomes generated by extracting whole community DNA, performing density fractionation, and conducting shotgun sequencing. Viral and microbial genomes were assembled resulting in 5,420 viral populations (vOTUs) and 927 medium-to-high-quality metagenome-assembled genomes across 25 bacterial phyla. Notably, over half (54%) of the vOTUs were 13C-enriched, highlighting their active role in microbial degradation of plant litter. These active vOTUs primarily infected bacterial phyla Pseudomonadota, Acidobacteriota, and Actinomycetota, and 57% were unique to a particular redox treatment. The anoxic samples exhibited the most distinct viral communities, with an increased potential for modulating host metabolism by carrying redox-specific glycoside hydrolases. However, over a third of the vOTUs were present in all redox conditions, suggesting selection for cosmopolitan viruses occurs in these soils that naturally experience dynamic redox conditions. ConclusionsOur study demonstrates how redox conditions shape viral communities and virus-host interactions in soils. By applying different DNA assembly methods on stable isotope probing targeted metagenomes and incubating soils under various redox regimes, we identified distinct viral populations and observed significant variations in viral community composition and function. These findings highlight the specialized roles of viruses in microbial carbon degradation under diverse environmental conditions, providing important insights into their contributions to carbon cycling and the broader implications for climate change.

microbiology↗

An algicidal bacterium shapes the microbiome during outdoor diatom cultivation collapse

Biogeochemistry and productivity of algae-dominated environments is fundamentally influenced by the diversity and activity of bacteria. Namely, algicidal bacteria that prey on algal hosts can control elemental cycling and host populations within outdoor algal ponds used for biofuel production. In this study, we describe the genomic and proteomic signatures of a putative algicidal bacterium, Kordia sp. (family Flavobacteriaceae), that bloomed during a population-wide crash of the biofuel diatom, Phaeodactylum tricornutum. This Kordia sp. bloom occurred after 29 days of cultivation in outdoor algal raceway ponds inoculated with P. tricornutum, but not in parallel ponds inoculated with Microchloropsis salina. Several signatures of antagonism expressed by Kordia during diatom demise highlights previously unexplored mechanisms that may aid in algicidal activity or bacterial competition, including the type VI secretion system and hydrogen peroxide production. Analysis of accompanying downstream microbiota (primarily of the Rhodobacteraceae family) provides evidence that cross-feeding is important in supporting microbial diversity during algal demise. Specifically, in situ and laboratory data suggest that Kordia acts as a primary degrader of biopolymers during algal demise, and co-occurring Rhodobacteraceae exploit degradation molecules or scavenge metabolic byproducts for carbon. Further, targeted analysis of 30 Rhodobacteraceae metagenome assembled genomes suggest algal pond Rhodobacteraceae commonly harbor pathways for carbon monoxide oxidation, a potential strategy to persist under competition. Collectively, these observations further constrain the role of algicidal bacteria in the aquatic ecosystem.

microbiology↗

THE DUAL ROLE OF THE MICROCYSTIS AERUGINOSA MICROBIOME ON CYANOTOXIN PRODUCTION: COMPETITION FOR AND REMINERALIZATION OF ORGANIC NITROGEN

Nutrient-induced blooms of the globally abundant freshwater toxic cyanobacterium Microcystis are the cause of worldwide public and ecosystem health concerns. The response of Microcystis growth and toxin production to new and recycled nitrogen (N) inputs, and the impact of heterotrophic bacteria in the Microcystis phycosphere on these processes are not well understood. Here, using microbiome transplant experiments, cyanotoxin analysis, and stable isotope tracing to measure N incorporation and exchange at single cell resolution, we monitored the growth, cyanotoxin production, and microbiome community structure of several Microcystis strains grown on amino acids and proteins as the sole N source. We demonstrate that 1) organic N availability shapes the microbiome community structure in the Microcystis phycosphere; 2) external organic N input leads to lower bacterial colonization of the phycosphere; 3) certain Microcystis strains can directly uptake amino acids, but with lower rates than heterotrophic bacteria; 4) biomass-specific microcystin production is not impacted by N source (i.e., nitrate, amino acids and protein) but rather by total N availability; and 5) some bacterial communities compete with Microcystis for organic N, but others remineralize organic N, in the process producing bio-available N for Microcystis. We conclude that organic N input can support Microcystis blooms and toxin production, and Microcystis-associated microbial communities play critical roles by influencing cyanobacterial succession through either decreasing (via competition) or increasing (via remineralization) N availability, especially under inorganic N scarcity.

microbiology↗

The Western Lake Erie Culture Collection: A promising resource for evaluating the physiological and genetic diversity of Microcystis and its associated microbiome

Cyanobacteria harmful algal blooms (cyanoHABs) dominated by Microcystis spp. have significant public health and economic implications in freshwater bodies around the world. These blooms are capable of producing a variety of cyanotoxins, including microcystins, that affect fishing and tourism industries, human and environmental health, and access to drinking water. In this study, we isolated and sequenced the genomes of 21 unialgal Microcystis cultures collected from western Lake Erie between 2017-2019. While some cultures isolated in different years have a high degree of genetic similarity (Average Nucleotide Identity >99%), genomic data shows that these cultures also represent much of the breadth of known Microcystis diversity in natural populations. Only 5 isolates contained all the genes required for microcystin synthesis while 2 isolates contained a previously described partial mcy operon. Microcystin production within cultures was also assessed using Enzyme-Linked Immunosorbent Assay (ELISA) and supported genomic results with high concentrations (up to 900 g L-1) in cultures with complete mcy operons and no or low toxin detected otherwise. These xenic cultures also contained a substantial diversity of bacteria associated with Microcystis, which has become increasingly recognized as an essential component of cyanoHAB community dynamics. These results highlight the genomic diversity among Microcystis strains and associated bacteria in Lake Erie, and their potential impacts on bloom development, toxin production, and toxin degradation. This collection significantly increases the availability of environmentally relevant Microcystis strains from temperate North America, which is changing rapidly due to climate change. HighlightsO_LITwenty one xenic Microcystis cultures were isolated from western Lake Erie and capture the diversity of Microcystis strains observed in natural populations as well as their associated bacteria C_LIO_LIMicrocystis strains show variability in core and accessory gene content, and genetically similar strains produce varying concentrations and congeners of microcystins C_LIO_LIThis collection is a valuable resource for studying strain diversity and interactions between Microcystis and associated bacteria C_LIO_LIOur collection increases the availability of environmentally relevant strains from temperate North America, which is historically underrepresented in culture collections. C_LI

microbiology↗

HT-SIP: A semi-automated Stable Isotope Probing pipeline identifies interactions in the hyphosphere of arbuscular mycorrhizal fungi

BackgroundLinking the identity of wild microbes with their ecophysiological traits and environmental functions is a key ambition for microbial ecologists. Of many techniques that strive to meet this goal, Stable Isotope Probing--SIP--remains the most comprehensive for studying whole microbial communities in situ. In DNA-SIP, active microorganisms that take up an isotopically heavy substrate build heavier DNA, which can be partitioned by density into multiple fractions and sequenced. However, SIP is relatively low throughput and requires significant hands-on labor. We designed and tested a semi-automated DNA-SIP pipeline to support well-replicated, temporally-resolved amplicon or metagenomics experiments that enable studies of dynamic microbial communities over space and time. To test this pipeline, we assembled SIP-metagenome assembled genomes (MAGs) from the hyphosphere zone surrounding arbuscular mycorrhizal fungi (AMF), in combination with a 13CO2 plant labelling study. ResultsOur semi-automated pipeline for DNA fractionation, cleanup, and nucleic acid quantification of SIP density gradients requires six times less hands-on labor compared to manual SIP and allows 16 samples to be processed simultaneously. Automated density fractionation increased the reproducibility of SIP gradients and reduced variation compared to manual fractionation, and we show adding a non-ionic detergent to the gradient buffer improved SIP DNA recovery. We then tested this pipeline on samples from a highly-constrained soil microhabitat with significant ecological importance, the AMF fungal hyphosphere. Processing via our quantitative SIP pipeline confirmed the AMF Rhizophagus intraradices and its associated microbiome were highly 13C enriched, even though the soils overall enrichment was only 1.8 atom% 13C. We assembled 212 13C-enriched hyphosphere MAGs, and the hyphosphere taxa that assimilated the most AMF-derived 13C (range 10-33 atom%) were from the phlya Myxococcota, Fibrobacterota, Verrucomicrobiota, and the ammonia oxidizing archaeon genus Nitrososphaeara. ConclusionsOur semi-automated SIP approach decreases operator time and errors and improves reproducibility by targeting the most labor-intensive steps of SIP--fraction collection and cleanup. Here, we illustrate this approach in a unique and understudied soil microhabitat--generating MAGs of active microbes living in the AMF hyphosphere (without plant roots). Their phylogenetic composition and gene content suggest predation, decomposition, and ammonia oxidation may be key processes in hyphosphere nutrient cycling.

microbiology↗

Quantitative stable-isotope probing (qSIP) with metagenomics links microbial physiology and activity to soil moisture in Mediterranean-climate grassland ecosystems

The growth and physiology of soil microorganisms, which play vital roles in biogeochemical cycling, are likely dependent on current and prior soil moisture levels. Here, we developed and applied a genome-resolved metagenomic implementation of quantitative stable isotope probing (qSIP) to an H218O labeling experiment to determine which microbial community members, and with what capacities, are growing under in situ conditions. qSIP enabled measurement of taxon-specific growth because isotopic incorporation into microbial DNA requires production of new genome copies. We studied three Mediterranean grassland soils across a rainfall gradient to evaluate the hypothesis that historic precipitation levels are an important factor controlling trait selection. We used qSIP-informed genome-resolved metagenomics to resolve an active subset of soil community members and identify the ecophysiological traits that characterize them. Higher year-round precipitation levels correlated with higher activity and growth rates of flagellar motile microorganisms. In addition to bacteria that were heavily isotopically labeled, we identified abundant isotope-labeled phages suggesting phage-induced cell lysis likely contributed to necromass production at all three sites. Further, there was a positive correlation between phage activity and the activity of putative phage hosts. Contrary to our expectations, the capabilities to decompose the diverse complex carbohydrates common in soil necromass or oxidize methanol and carbon monoxide were broadly distributed across active and inactive bacteria in all three soils, implying that these traits are not highly selected for by historical precipitation.

microbiology↗

Active communities and growth of soil microorganisms are framed by mean annual precipitation in three California annual grasslands

Earth system models project altered precipitation regimes across much of the globe; in California, the winter wet season is predicted to extend into spring, and the summer dry period to lengthen. How these precipitation trends will affect microbial traits and soil carbon (C) cycling is a key knowledge gap. Specifically, we do not have a mechanistic understanding of the linkages between soil moisture legacy effects, microbial population dynamics and soil C persistence. Using quantitative stable isotope probing (qSIP), we compared total and growing soil microbial communities across three California annual grasslands that span a rainfall gradient yet developed on similar parent material. We also assessed multiple edaphic variables, including the radiocarbon (14C) age of soil C, and found soil C turnover time increased with annual precipitation, but that soil microbes respired recently-fixed C regardless of site rainfall history. Samples were assayed in the wet season, when we expected environmental conditions would be most similar across sites. We hypothesized that growing communities would be more compositionally similar across the gradient than the total background microbiome. We also predicted that the long-term legacy effect of soil water limitation would be reflected in a lower community growth capacity at the driest site. We found that the proportion of the total community that was detected as growing was 28%, 48% and 58% at the wet, intermediate and dry sites, respectively. The composition of growing communities strongly resembled that of total communities, and growing communities were no more similar across the gradient than total communities, indicating a strong effect of climate of the structure of growing microbial communities. Members of three phyla, Acidobacteria, Actinobacteria, and Proteobacteria, were responsible for [~]79% of the cumulative 18O assimilation and 80% of all taxa that we defined as growers. Bacterial growth rates were low at the driest site relative to the intermediate and wettest sites. Reduced growth at the driest site was observed across major phyla, including the Actinobacteria, Acidobacteria, Bacteroidetes, Gemmatimonadetes and Proteobacteria. Microbial communities at the driest site displayed phylogenetic clustering, suggesting that climate history impacts microbial growth through environmental filtering for slow growing taxa. Taxonomic identity was a strong predictor of growth, such that the growth rates of a taxon at one site predicted its growth rates at the others. This cross-site coherence in growth is likely a consequence of genetically determined physiological traits, and is consistent with the idea that evolutionary history influences growth rate.

ecology↗

Bacterial response to spatial gradients of algal-derived nutrients in a porous microplate

AO_SCPLOWBSTRACTC_SCPLOWPhotosynthetic microalgae are responsible for 50% of the global atmospheric CO2 fixation into organic matter and hold potential as a renewable bioenergy source. Their metabolic interactions with the surrounding microbial community (the algal microbiome) play critical roles in carbon cycling, but due to methodological limitations, it has been challenging to examine how community is developed by spatial proximity to their algal host. Here we introduce a hydrogel-based porous microplate to co-culture algae and bacteria, where metabolites are constantly exchanged between the microorganisms while maintaining physical separation. In the microplate we found that the diatom Phaeodactylum tricornutum accumulated to cell abundances ~20 folds higher than under normal batch conditions due to constant replenishment of nutrients through the hydrogel. We also demonstrate that algal-associated bacteria, both single isolates and complex communities, responded to inorganic nutrients away from their host as well as organic nutrients originating from the algae in a spatially predictable manner. These experimental findings coupled with a mathematical model suggest that host proximity and algal culture growth phase impact bacterial community development in a taxon-specific manner through organic and inorganic nutrient availability. Our novel system presents a useful tool to investigate universal metabolic interactions between microbes in aquatic ecosystems.

ecology↗

The ModelSEED Database for the integration of metabolic annotations and the reconstruction, comparison, and analysis of metabolic models for plants, fungi, and microbes

For over ten years, ModelSEED has been a primary resource for the construction of draft genome-scale metabolic models based on annotated microbial or plant genomes. Now being released, the biochemistry database serves as the foundation of biochemical data underlying ModelSEED and KBase. The biochemistry database embodies several properties that, taken together, distinguish it from other published biochemistry resources by: (i) including compartmentalization, transport reactions, charged molecules and proton balancing on reactions;; (ii) being extensible by the user community, with all data stored in GitHub; and (iii) design as a biochemical "Rosetta Stone" to facilitate comparison and integration of annotations from many different tools and databases. The database was constructed by combining chemical data from many resources, applying standard transformations, identifying redundancies, and computing thermodynamic properties. The ModelSEED biochemistry is continually tested using flux balance analysis to ensure the biochemical network is modeling-ready and capable of simulating diverse phenotypes. Ontologies can be designed to aid in comparing and reconciling metabolic reconstructions that differ in how they represent various metabolic pathways. ModelSEED now includes 33,978 compounds and 36,645 reactions, available as a set of extensible files on GitHub, and available to search at https://modelseed.org and KBase.

systems biology↗

multiPhATE: bioinformatics pipeline for functional annotation of phage isolates

SummaryTo address the need for improved phage annotation tools that scale, we created an automated throughput annotation pipeline: multiple-genome Phage Annotation Toolkit and Evaluator (multiPhATE). multiPhATE is a throughput pipeline driver that invokes an annotation pipeline (PhATE) across a user-specified set of phage genomes. This tool incorporates a de novo phage gene-calling algorithm and assigns putative functions to gene calls using protein-, virus-, and phage-centric databases. multiPhATEs modular construction allows the user to implement all or any portion of the analyses by acquiring local instances of the desired databases and specifying the desired analyses in a configuration file. We demonstrate multiPhATE by annotating two newly sequenced Yersinia pestis phage genomes. Within multiPhATE, the PhATE processing pipeline can be readily implemented across multiple processors, making it adaptable for throughput sequencing projects. Software documentation assists the user in configuring the system. Availability and implementationmultiPhATE was implemented in Python 3.7, and runs as a command-line code under Linux or Unix. multiPhATE is freely available under an open-source BSD3 license from https://github.com/carolzhou/multiPhATE. Instructions for acquiring the databases and third-party codes used by multiPhATE are included in the distribution README file. Users may report bugs by submitting to the github issues page associated with the multiPhATE distribution. Contactzhou4@llnl.gov or carol.zhou@comcast.net. Supplementary informationData generated during the current study are included as supplementary files available for download at https://github.com/carolzhou/PhATE_docs.

bioinformatics↗

Combining multiple functional annotation tools increases completeness of metabolic annotation

Genome-scale metabolic modeling is a cornerstone of systems biology analysis of microbial organisms and communities, yet these genome-scale modeling efforts are invariably based on incomplete functional annotations. Annotated genomes typically contain 30-50% of genes without functional annotation, severely limiting our knowledge of the \"parts lists\" that the organisms have at their disposal. These incomplete annotations may be sufficient to derive a model of a core set of well-studied metabolic pathways that support growth in pure culture. However, pathways important for growth on unusual metabolites exchanged in complex microbial communities are often less understood, resulting in missing functional annotations in newly sequenced genomes. Here, we present results on a comprehensive reannotation of 27 bacterial reference genomes, focusing on enzymes with EC numbers annotated by KEGG, RAST, EFICAz, and the BRENDA enzyme database, and on membrane transport annotations by TransportDB, KEGG and RAST. Our analysis shows that annotation using multiple tools can result in a drastically larger metabolic network reconstruction, adding on average 40% more EC numbers, 3-8 times more substrate-specific transporters, and 37% more metabolic genes. These results are even more pronounced for bacterial species that are more phylogenetically distant from well-studied model organisms such as E. coli.

bioinformatics↗