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Lemon, K. P.

Publications and source records attributed to Lemon, K. P..

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D-alanine aminotransferase (Dat) promotes Staphylococcus aureus colonization fitness on human nasal respiratory epithelium

Nasal colonization by Staphylococcus aureus is an established risk factor for invasive infection, yet bacterial determinants promoting fitness on human nasal mucosa remain incompletely defined. To identify genes required for early colonization of human nasal respiratory epithelium, we colonized human nasal epithelial organoids differentiated at air-liquid interface (HNO-ALI) with a high-density transposon (Tn) library of the methicillin-resistant USA300 strain LAC. TnSeq analysis identified 165 genes that met our threshold for candidate colonization fitness factors. Among these, genes involved in D-alanine biosynthesis and use were enriched, including two encoding the enzymes that separately synthesize D-alanine in S. aureus: alanine racemase 1 (alr1) and D-alanine aminotransferase (dat). Disruption of dat reduced colonization fitness in competition with the parental strain by [≥] 1,000 fold across 4 different strains from clonal complexes 8, 5, and 30. In competition with the parental strain during HNO-ALI colonization, a dat::Tn mutant was 34-fold less fit than an alr1::Tn mutant. Genetic complementation with single-copy dat expressed from its native operon promoter restored parental colonization levels. Supplementation with exogenous D-alanine or L-alanine also rescued the dat::Tn colonization defect, whereas D-glutamate did not, consistent with Dat primarily producing D-alanine on nasal mucosa. Complementation with dat under control of a putative 5 intra-operon promoter substantially restored colonization but failed to support growth in chemically defined medium lacking L-alanine, suggesting a new layer of environment-specific regulation of dat transcription. Together, these findings demonstrate that Dat is a major source of D-alanine during colonization of human nasal mucosa and is required for S. aureus fitness in this environment. AUTHOR SUMMARYStaphylococcus aureus is the second leading cause of death due to bacterial infection globally, and nasal colonization is a major risk factor for invasive disease. Using a physiologically relevant, host-derived model of human nasal respiratory epithelium (HNO-ALI) and TnSeq, we identified 165 candidate genes contributing to S. aureus fitness during nasal mucosal colonization. We found that D-alanine aminotransferase (Dat) is the predominant source of D-alanine during nasal colonization, whereas alanine racemase (Alr1) predominates in rich medium, revealing an environment-specific hierarchy of D-alanine biosynthesis. Disruption of dat caused a > 1,000-fold defect in colonization in competition with the parental strain across multiple S. aureus clonal complexes, supporting a conserved role for dat in nasal colonization fitness. Additionally, we provide evidence that dat transcription from a previously cryptic promoter might be regulated by nasal mucosal conditions. Alr1 is proposed as an antimicrobial target in other bacterial pathogens; however, our data suggest that targeting Dat may be more effective for S. aureus nasal decolonization.

microbiology↗

Streptococcus pneumoniae colonization modulates human nasal epithelial responses to respiratory syncytial virus infection

Respiratory syncytial virus (RSV) is a major cause of morbidity and mortality in infants globally. Specific nasal bacterial genera are differentially associated with RSV severity in infants: Haemophilus and Streptococcus with more severe disease and Dolosigranulum with healthy controls or milder outcomes. We hypothesized these differential bacterial effects begin at the epithelial level. Therefore, we established human nasal epithelial organoids differentiated at air-liquid interface (HNO-ALI) as a model system to assess effects of individual nasal microbionts on the epithelial response to subsequent RSV infection and of RSV on those microbionts. Infant-derived HNO-ALI were monocolonized with either Streptococcus pneumoniae, nontypeable Haemophilus influenzae, or Dolosigranulum pigrum one day before viral infection. RSV reduced colonizing S. pneumoniae and D. pigrum levels without affecting H. influenzae. S. pneumoniae precolonization uniquely reduced RSV levels during infection. S. pneumoniae precolonization also modulated the epithelial transcriptional response to RSV infection more so than H. influenzae or D. pigrum, with a pronounced effect on genes involved in immune response, cell cycle, stress, and growth signaling. Gene set enrichment analysis showed S. pneumoniae precolonization blunted RSV-induced increase in inflammatory and immune responses, consistent with S. pneumoniae also modulating RSV-induced cytokine production. Furthermore, S. pneumoniae precolonization blocked RSV-mediated dysregulation of cell-cycle genes, consistent with preventing arrest. Bacterial rescue of cell-cycle progression is a potential mechanism for reduced infectious virion production, since cell-cycle arrest enhances RSV replication. HNO-ALI facilitated elucidation of bacterial-viral-epithelial interplay at a frequent site of viral infection, directly linking nasal bacterial colonization to RSV infection dynamics. IMPORTANCEMost RSV-related hospitalizations occur in healthy young children, yet predictors of RSV severity in this population are limited. The nasal passages are a major microbiota site exposed to frequent respiratory viral infections. Specific nasal bacterial genera/species correlate with RSV clinical outcomes; however, the biological basis of these associations is poorly defined. Here, we established human nasal epithelial organoids differentiated at air-liquid interface (HNO-ALI) as a tractable experimental system for defining the interplay between bacteria, virus, and epithelial cells in the human nasal passages, enabling mechanistic insight into how the nasal microbiota contribute to RSV disease severity. Using this approach, we found that precolonization with each of the common nasal bacteria S. pneumoniae, H. influenzae, or D. pigrum differentially affected the nasal epithelial response to RSV infection. This work highlights that the nasal epithelium actively integrates microbial and viral signals and that variation in bacterial colonization can shape viral infection trajectories.

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Description of two novel Corynebacterium species isolated from human nasal passages and skin

Strains of two novel Corynebacterium species were cultured from samples of human nostrils and skin collected in the United States and Botswana. These strains demonstrated growth on Columbia Colistin-Nalidixic Acid agar with 5% sheep blood and in liquid media (brain heart infusion and tryptic soy broth) supplemented with Tween 80, a source of the fatty acid oleic acid. Cells were Gram-positive, non-spore-forming, non-motile bacilli that showed catalase but not oxidase activity. Major fatty acids in both of these species were 18:1 {omega}9c (oleic acid), 16:0 (palmitic acid), and 18:0 (stearic acid). Analysis of the 16S ribosomal RNA gene sequences identified these strains as belonging to the genus Corynebacterium (family Corynebacteriaceae). Whole-genome sequencing revealed that these strains formed distinct branches on a phylogenomic tree, with C. tuberculostearicum being the closest relative but with average nucleotide identities of < 95% relative to all previously described species. These results indicate that these strains represent novel species of Corynebacterium, for which we propose the names Corynebacterium hallux sp. nov., with the type strain CTNIH22T (=ATCC TSD-435T=DSM 117774T), and Corynebacterium nasorum sp. nov., with the type strain KPL3804T (=ATCC TSD-439T=DSM 117767T). We also describe the characteristics of two strains isolated from human nasal passages that are members of the recently named species Corynebacterium yonathiae. RepositoriesThe sequencing files supporting the conclusions of this study are available in the Sequence Read Archive (PRJNA804245, PRJNA854648, PRJNA842433). The partial 16S ribosomal RNA gene sequences from PCR amplification and Sanger sequencing are available in GenBank for Corynebacterium hallux sp. nov. CTNIH22T (accession number: PQ252679) and Corynebacterium nasorum sp. nov. KPL3804T (accession number: PQ149068). The annotated genomic sequences for the strains characterized in this study have been deposited in GenBank with the following accession numbers: C. hallux sp. nov. CTNIH22T (GCF_032821755.1), C. nasorum sp. nov. KPL3804T (GCF_037908315.1), C. nasorum sp. nov. MSK185 (GCF_030229765.1), C. yonathiae KPL2619 (GCF_037908465.1), and C. yonathiae MSK136 (GCF_022288805.2).

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Nasal microbionts differentially colonize and elicit cytokines in human nasal epithelial organoids

Nasal colonization by Staphylococcus aureus or Streptococcus pneumoniae is associated with an increased risk of infection by these pathobionts, whereas nasal colonization by Dolosigranulum species is associated with health. Human nasal epithelial organoids (HNOs) physiologically recapitulate human nasal respiratory epithelium with a robust mucociliary blanket. We reproducibly monocolonized HNOs with these three bacteria for up to 48 hours with varying kinetics across species. HNOs tolerated bacterial monocolonization with localization of bacteria to the mucus layer and with minimal cytotoxicity compared to uncolonized HNOs. Human nasal epithelium exhibited both species-specific and general cytokine responses, without induction of type I interferons, consistent with colonization rather than infection. Only live S. aureus colonization robustly induced IL-1 family cytokines, suggestive of inflammasome signaling. D. pigrum and live S. aureus decreased CXCL10, whereas S. pneumoniae increased CXCL11, chemokines involved in antimicrobial responses to both viruses and bacteria. Overall, HNOs are a compelling model system to reveal host-microbe dynamics at the human nasal mucosa. IMPORTANCEHuman nasal microbiota often includes highly pathogenic members, many of which are antimicrobial resistance threats, e.g., methicillin-resistant Staphylococcus aureus and antibiotic-resistant Streptococcus pneumoniae. Preventing colonization by nasal pathobionts decreases infections and transmission. In contrast, nasal microbiome studies identify candidate beneficial bacteria that might resist pathobiont colonization, e.g., Dolosigranulum pigrum. Discovering how these microbionts colonize the human nasal passages and means to reduce pathobiont colonization is limited by previous models. This creates an urgent need for human-based models that exemplify bacterial nasal colonization. We addressed this need by developing human nasal epithelial organoids (HNOs) as a new model system of bacterial nasal colonization. HNOs accurately represent the mucosal surface of the human nasal passages enabling exploration of bacterial-epithelial interactions, which is crucial since the epithelium instigates the initial innate immune response to bacteria. Here, we identified differential epithelial cytokine responses to these three bacteria setting the stage for future research.

microbiology↗

Genomic characterization of the C. tuberculostearicum species complex, a ubiquitous member of the human skin microbiome

Corynebacterium is a predominant genus in the skin microbiome, yet its genetic diversity on skin is incompletely characterized and lacks a comprehensive set of reference genomes. Our work aims to investigate the distribution of Corynebacterium species on the skin, as well as to expand the existing genome reference catalog to enable more complete characterization of skin metagenomes. We used V1-V3 16S rRNA gene sequencing data from 14 body sites of 23 healthy volunteers to characterize Corynebacterium diversity and distribution across healthy human skin. Corynebacterium tuberculostearicum is the predominant species found on human skin and we identified two distinct C. tuberculostearicum ribotypes (A & B) that can be distinguished by variation in the 16S rRNA V1-V3 sequence. One is distributed across all body sites and the other found primarily on the feet. We performed whole genome sequencing of 40 C. tuberculostearicum isolates cultured from the skin of five healthy individuals across seven skin sites. We generated five closed genomes of diverse C. tuberculostearicum which revealed that C. tuberculostearicum isolates are largely syntenic and carry a diversity of methylation patterns, plasmids and CRISPR/Cas systems. The pangenome of C. tuberculostearicum is open with a core genome size of 1806 genes and a pangenome size of 5451 total genes. This expanded pangenome enabled the mapping of 24% more C. tuberculostearicum reads from shotgun metagenomic datasets derived from skin body sites. Finally, while the genomes from this study all fall within a C. tuberculostearicum species complex, the ribotype B isolates may constitute a new species. IMPORTANCEAmplicon sequencing data combined with isolate whole genome sequencing has expanded our understanding of Corynebacterium on the skin. Human skin is characterized by a diverse collection of Corynebacterium species but C. tuberculostearicum predominates many sites. Our work supports the emerging idea that C. tuberculostearicum is a species complex encompassing several distinct species. We produced a collection of genomes that help define this complex including a potentially new species which we are calling C. hallux based on a preference for sites on the feet, whole-genome average nucleotide identity, pangenomics and growth in skin-like media. This isolate collection and high-quality genome resource sets the stage for developing engineered strains for both basic and translational clinical studies. Microbiomes are shaped by taxa that are both characteristic to those sites and functionally important to that community. The genus Corynebacterium is one such taxa for the human skin and nares. Foundational studies using 16S rRNA gene sequencing and shotgun metagenomics by our lab (1, 2) and others (3) have established Corynebacterium as common members of the skin microbiome. While Corynebacterium have been positively correlated with the resolution of dysbiosis associated with eczema flares (4), the importance of the Corynebacterium spp. is less defined for skin disease severity in primary immune deficient patients (5, 6). Corynebacterium spp. are predominant members of the human aerodigestive tract microbiome (nares, oral cavity and respiratory tract) (3) and participate in microbe-microbe interactions with members of nasal microbiome (7, 8). Corynebacterium have been shown to engage with the host immune system, specifically C. accolens-promoted IL23-dependent inflammation in mice on a high-fat diet (9). C. bovis and C. mastiditis have been shown to predominate the microbiome of a ADAM10-deficient mouse model (10) as well as an ADAM17-deficient mouse model of eczema (11). Finally, C. tuberculostearicum has been shown to induce inflammation in human epidermal keratinocyte cell cultures (12). These studies establish Corynebacterium spp. as key members of the skin microbiome capable of both microbe-microbe and microbe-host interactions. A critical resource for understanding the biology of Corynebacterium on the skin is a robust collection of complete reference genomes, including isolates collected from a variety of individuals and body sites. Previously published genome collections from skin- or nares-resident species include Staphylococcus epidermidis (13), Cutibacterium acnes (14) and the recent comparative analysis of Dolosigranulum pigrum (15). Of note, while emerging bioinformatic methods and pipelines are now being employed to extract nearly-complete genomes (MAGs) from metagenomic assemblies of skin samples (16), MAGs are not yet a substitute for genomes from cultured isolates to understand strain level or pangenomic diversity. In addition to functional prediction, comparative genomics is increasingly being used to augment conventional microbiological methods to define or redefine taxonomic boundaries (17, 18), as well as describe the full extent of diversity within these boundaries (19). A pangenome, which encompasses the complete set of genes present within a set of genome sequences, enables the characterization of gene-level heterogeneity within a taxonomic group. The pangenome is commonly subdivided into the core genome, referring to genes present in all strains, and the accessory or dispensable genome, referring to those present in only one or some isolates. (The accessory pangenome can be further subdivided to reflect a wider range of gene uniqueness, e.g. singletons.) Thorough characterization of taxa is limited by the availability of representative and high-quality genome assemblies. Unfortunately, with the exceptions of clinically relevant Corynebacterium spp. (e.g., C. diphtheriae, C. striatum and C. pseudotuberculosis), the genus is inadequately sequenced, with 75% of species having fewer than six genomes. This includes common skin-associated species like C. tuberculostearicum with just five unique isolate genomes, only two of which are from skin. This work seeks first to characterize the distribution of Corynebacterium across 14 skin sites from 23 healthy volunteers. The second goal of this work focuses on what we identify as the predominant skin Corynebacterium species, C. tuberculostearicum. We have sequenced 23 distinct C. tuberculostearicum strains (n=40 genomes before dereplication), a five-fold increase in the number of publicly available, unique genomes (n=5). In addition to short-read assemblies, we generated five complete genomes which, along with the type strain (DSM44922), demonstrate that C. tuberculostearicum genomes are largely syntenic and carry a number of methylation systems as well as a CRISPR/Cas system. Genes from the C. tuberculostearicum genomes in our collection fall into 5451 gene clusters comprising the species pangenome. This expanded pangenome, as compared to existing public references, improved the mapping of C. tuberculostearicum metagenomic reads from unrelated healthy volunteers. In addition, we have identified a distinct C. tuberculostearicum clade that is highly enriched on the feet that may represent a new species, tentatively designated Corynebacterium hallux.

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Metabolic capabilities are highly conserved among human nasal-associated Corynebacterium species in pangenomic analyses

Corynebacterium species are globally ubiquitous in human nasal microbiota across the lifespan. Moreover, nasal microbiota profiles typified by higher relative abundances of Corynebacterium are often positively associated with health. Among the most common human nasal Corynebacterium species are C. propinquum, C. pseudodiphtheriticum, C. accolens, and C. tuberculostearicum. To gain insight into the functions of these four species, we identified genomic, phylogenomic, and pangenomic properties and estimated the metabolic capabilities of 87 distinct human nasal Corynebacterium strain genomes: 31 from Botswana and 56 from the USA. C. pseudodiphtheriticum had geographically distinct clades consistent with localized strain circulation, whereas some strains from the other species had wide geographic distribution spanning Africa and North America. All species had similar genomic and pangenomic structures. Gene clusters assigned to all COG metabolic categories were overrepresented in the persistent versus accessory genome of each species indicating limited strain-level variability in metabolic capacity. Based on prevalence data, at least two Corynebacterium species likely coexist in the nasal microbiota of 82% of adults. So, it was surprising that core metabolic capabilities were highly conserved among the four species indicating limited species-level metabolic variation. Strikingly, strains in the USA clade of C. pseudodiphtheriticum lacked genes for assimilatory sulfate reduction present in most of the strains in the Botswana clade and in the other studied species, indicating a recent, geographically related loss of assimilatory sulfate reduction. Overall, the minimal species and strain variability in metabolic capacity implies coexisting strains might have limited ability to occupy distinct metabolic niches. IMPORTANCEPangenomic analysis with estimation of functional capabilities facilitates our understanding of the full biologic diversity of bacterial species. We performed systematic genomic, phylogenomic, and pangenomic analyses with qualitative estimation of the metabolic capabilities of four common human nasal Corynebacterium species, along with focused experimental validations, generating a foundational resource. The prevalence of each species in human nasal microbiota is consistent with the common coexistence of at least two species. We identified a notably high level of metabolic conservation within and among species indicating limited options for species to occupy distinct metabolic niches, highlighting the importance of investigating interactions among nasal Corynebacterium species. Comparing strains from two continents, C. pseudodiphtheriticum had restricted geographic strain distribution characterized by an evolutionarily recent loss of assimilatory sulfate reduction in USA strains. Our findings contribute to understanding the functions of Corynebacterium within human nasal microbiota and to evaluating their potential for future use as biotherapeutics.

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When does a Lotka-Volterra model represent microbial interactions? Insights from in-vitro nasal bacterial communities

To alter microbial community composition for therapeutic purposes, an accurate and reliable modeling framework capable of predicting microbial community outcomes is required. Lotka-Volterra (LV) equations have been utilized to describe a breadth of microbial communities, yet, the conditions in which this modeling framework is successful remain unclear. Here, we propose that a set of simple in vitro experiments--growing each member in cell-free filtrates obtained from other members--can be used as a test to decide whether a LV model is appropriate for describing microbial interactions of interest. We show that for LV to be a good candidate, the ratio of growth rate to carrying capacity of each isolate when grown in the cell-free spent medium of other isolates should remain constant. Using an in vitro community of human nasal bacteria as a tractable system, we find that LV can be a good approximation when the environment is low-nutrient (i.e., when growth is limited by the availability of nutrients) and complex (i.e., when multiple resources, rather than a few, determine growth). These findings can help clarify the range of applicability of LV models and reveal when a more complex model may be necessary for predictive modeling of microbial communities.

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Genomic Stability and Genetic Defense Systems in Dolosigranulum pigrum a Candidate Beneficial Bacterium from the Human Microbiome

Dolosigranulum pigrum is positively associated with indicators of health in multiple epidemiological studies of human nasal microbiota. Knowledge of the basic biology of D. pigrum is a prerequisite for evaluating its potential for future therapeutic use; however, such data are very limited. To gain insight into D. pigrums chromosomal structure, pangenome and genomic stability, we compared the genomes of 28 D. pigrum strains that were collected across 20 years. Phylogenomic analysis showed closely related strains circulating over this period and closure of 19 genomes revealed highly conserved chromosomal synteny. Gene clusters involved in the mobilome and in defense against mobile genetic elements (MGEs) were enriched in the accessory genome versus the core genome. A systematic analysis for MGEs identified the first candidate D. pigrum prophage and insertion sequence. A systematic analysis for genetic elements that limit the spread of MGEs, including restriction modification (RM), CRISPR-Cas, and deity-named defense systems, revealed strain-level diversity in host defense systems that localized to specific genomic sites including one RM system hotspot. Analysis of CRISPR spacers pointed to a wealth of MGEs against which D. pigrum defends itself. These results reveal a role for horizontal gene transfer and mobile genetic elements in strain diversification while highlighting that in D. pigrum this occurs within the context of a highly stable chromosomal organization protected by a variety of defense mechanisms. IMPORTANCEDolosigranulum pigrum is a candidate beneficial bacterium with potential for future therapeutic use. This is based on its positive associations with characteristics of health in multiple studies of human nasal microbiota across the span of human life. For example, high levels of D. pigrum nasal colonization in adults predicts the absence of Staphylococcus aureus nasal colonization. Also, D. pigrum nasal colonization in young children is associated with healthy control groups in studies of middle ear infections. Our analysis of 28 genomes revealed a remarkable stability of D. pigrum strains colonizing people in the U.S. across a 20-year span. We subsequently identified factors that can influence this stability, including genomic stability, phage predators, the role of MGEs in strain-level variation and defenses against MGEs. Finally, these D. pigrum strains also lacked predicted virulence factors. Overall, these findings add additional support to the potential for D. pigrum as a therapeutic bacterium.

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Quantifying variation in bacterial reproductive fitness with and without antimicrobial resistance: a high-throughput method

BackgroundTo evaluate changes in reproductive fitness of bacteria, e.g., after acquisition of antimicrobial resistance, a low-cost high-throughput method to analyse bacterial growth on agar is desirable for broad usability, including in low-resource settings. MethodIn our bacterial quantitative fitness analysis (baQFA), cultures are spotted in a predefined array on agar plates and photographed sequentially while growing. These time-lapse images are analysed using a purpose-built open source software to derive normalised image intensity values for each culture spot. Subsequently, a Gompertz growth model is fitted to these optical intensity values of each culture spot and fitness is calculated from parameters of the model. For image segmentation validation, we investigated the association between normalised intensity values and colony-forming unit (CFU) counts. To represent a range of clinically important pathogenic bacteria, we used different strains of Enterococcus faecium, Escherichia coli and Staphylococcus aureus, with and without antimicrobial resistance. Relative competitive fitness (RCF) was defined as the mean fitness ratio of two strains growing competitively on one plate. ResultsbaQFA permitted the accurate construction of growth curves from bacteria grown on semisolid agar plates and fitting of Gompertz models: Normalised image intensity values showed a strong association with the total CFU/ml count per spotted culture (p<0.001) for all strains of the three species. Bacterial QFA showed relevant reproductive fitness differences between individual strains, suggesting substantial higher fitness of methicillin-resistant S. aureus JE2 than Cowan (RCF 1.60, p<0.001). Similarly, the vancomycin-resistant E. faecium ST172b showed higher competitive fitness than susceptible E. faecium ST172 (RCF 1.72, p<0.001). ConclusionOur baQFA adaptation allows detection of fitness differences between our bacterial strains, and is likely to be applicable to other bacteria. In the future, baQFA may help to estimate epidemiological antimicrobial persistence or contribute to the prediction of clinical outcomes in severe infections at a low cost.

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Construction of habitat-specific training sets to achieve species-level assignment in 16S rRNA gene datasets

BackgroundThe low cost of 16S rRNA gene sequencing facilitates population-scale molecular epidemiological studies. Existing computational algorithms can parse 16S rRNA gene sequences to high-resolution Amplicon Sequence Variants (ASVs), which represent consistent labels comparable across studies. Assigning these ASVs to species-level taxonomy strengthens the ecological and/or clinical relevance of 16S rRNA gene-based microbiota studies and further facilitates data comparison across studies. ResultsTo achieve this, we developed a broadly applicable method for constructing high-resolution training sets based on the phylogenic relationships among microbes found in a habitat of interested. When used with the naive Bayesian Ribosomal Database Project (RDP) Classifier, this training set achieved species/supraspecies-level taxonomic assignment of 16S rRNA gene-derived ASVs. The key steps for generating such a training set are: 1) constructing an accurate and comprehensive phylogenetic-based, habitat-specific database; 2) compiling multiple 16S rRNA gene sequences to represent the natural sequence variability of each taxon in the database; 3) trimming the training set to match the sequenced regions, if necessary; and 4) placing species sharing closely related sequences into a supraspecies taxonomic level to preserve subgenus-level resolution. As proof of principle, we developed a V1-V3 region training set for the bacterial microbiota of the human aerodigestive tract using the full-length 16S rRNA gene reference sequences compiled in our expanded Human Oral Microbiome Database (eHOMD). We also overcame technical limitations to successfully use Illumina sequences for the 16S rRNA gene V1-V3 region, the most informative segment for classifying bacteria native to the human aerodigestive tract. Finally, we generated a full-length eHOMD 16S rRNA gene training set, which we used in conjunction with an independent PacBio Single Molecule, Real-Time (SMRT)-sequenced sinonasal dataset to validate the representation of species in our training set. This also established the effectiveness of a full-length training set for assigning taxonomy of long-read 16S rRNA gene datasets. ConclusionHere, we present a systematic approach for constructing a phylogeny-based, high-resolution, habitat-specific training set that permits species/supraspecies-level taxonomic assignment to short- and long-read 16S rRNA gene-derived ASVs. This advancement enhances the ecological and/or clinical relevance of 16S rRNA gene-based microbiota studies.

microbiology↗

Dolosigranulum pigrum cooperation and competition in human nasal microbiota

BackgroundMultiple epidemiological studies identify Dolosigranulum pigrum as a candidate beneficial bacterium based on its positive association with health, including negative associations with nasal/nasopharyngeal colonization by the pathogenic species Staphylococcus aureus and Streptococcus pneumoniae. ResultsUsing a multipronged approach to gain new insights into D. pigrum function, we observed phenotypic interactions and predictions of genomic capacity that support a role for microbe-microbe interactions involving D. pigrum in shaping the composition of human nasal microbiota. We identified in vivo community-level and in vitro phenotypic cooperation by specific nasal Corynebacterium species. Also, D. pigrum inhibited S. aureus growth in vitro. Whereas, robust inhibition of S. pneumoniae required both D. pigrum and a nasal Corynebacterium together, and not either alone. D. pigrum L-lactic-acid production was insufficient to account for these inhibitions. Genomic analysis of 11 strains revealed that D. pigrum has a small genome (average 1.86 Mb) and multiple predicted auxotrophies consistent with D. pigrum relying on its human host and cocolonizing bacteria for key nutrients. Further, the accessory genome of D. pigrum encoded a diverse repertoire of biosynthetic gene clusters, some of which may have a role in microbe-microbe interactions. ConclusionsThese new insights into D. pigrums functions advance the field from compositional analysis to genomic and phenotypic experimentation on a potentially beneficial bacterial resident of the human upper respiratory tract and lay the foundation for future animal and clinical experiments.

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Cutibacterium acnes antibiotic production shapes niche competition in the human skin microbiome

The composition of the skin microbiome varies widely among individuals sampled at the same body site. A key question is which molecular factors determine strain-level variability within sub-ecosystems of the skin. We used a genomics-guided approach to identify an antibacterial biosynthetic gene cluster in Cutibacterium acnes (formerly Propionibacterium acnes) that is widely distributed across individuals and skin sites. Experimental characterization of this cluster enabled the identification of a new thiopeptide antibiotic, cutimycin. Analysis of individual human skin hair follicles showed that cutimycin is an important factor regulating colonization resistance against Staphylococcus species.\n\nOne Sentence SummaryCutimycin, a thiopeptide antibiotic produced by a widespread skin commensal, reduces Staphylococcus colonization of human follicles.

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SyngenicDNA: stealth-based evasion of restriction-modification barriers during bacterial genetic engineering

Restriction-modification (RM) systems hinder the use of genetic approaches in the vast majority of bacteria. Here, we describe a systematic approach to adapt genetic tools for use in bacteria that are genetically intractable or poorly tractable owing to active RM defenses. In this process, we determine the genome and methylome of a bacterial strain and use this information to define the bacteriums RM target motifs. We then synonymously eliminate RM targets from the nucleotide sequence of a genetic tool in silico, synthesize an RM-silent SyngenicDNA tool and propagate the tool as novel minicircle plasmids, termed SyMPL tools, before transformation. Using SyngenicDNA and SyMPL tools, we achieved a profound, >100,000- fold, improvement in the transformation of a clinically relevant USA300 strain of Staphylococcus aureus demonstrating the efficacy of these approaches for evading RM systems. The SyngenicDNA and SyMPL approaches are effective, flexible, and should be broadly applicable in microbial genetics. We expect these will facilitate a new era of microbial genetics free of the restraints of restriction-modification barriers.

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New insights into human nostril microbiome from the expanded Human Oral Microbiome Database (eHOMD): a resource for species-level identification of microbiome data from the aerodigestive tract

The expanded Human Oral Microbiome Database (eHOMD) is a comprehensive microbiome database for sites along the human aerodigestive tract that revealed new insights into the nostril microbiome. The eHOMD provides well-curated 16S rRNA gene reference sequences linked to available genomes and enables assignment of species-level taxonomy to most NextGeneration sequences derived from diverse aerodigestive tract sites, including the nasal passages, sinuses, throat, esophagus and mouth. Using Minimum Entropy Decomposition coupled with the RDP Classifier and our eHOMD V1-V3 training set, we reanalyzed 16S rRNA V1-V3 sequences from the nostrils of 210 Human Microbiome Project participants at the species level revealing four key insights. First, we discovered that Lawsonella clevelandensis, a recently named bacterium, and Neisseriaceae [G-1] HMT-174, a previously unrecognized bacterium, are common in adult nostrils. Second, just 19 species accounted for 90% of the total sequences from all participants. Third, one of these 19 belonged to a currently uncultivated genus. Fourth, for 94% of the participants, two to ten species constituted 90% of their sequences, indicating nostril microbiome may be represented by limited consortia. These insights highlight the strengths of the nostril microbiome as a model system for studying interspecies interactions and microbiome function. Also, in this cohort, three common nasal species (Dolosigranulum pigrum and two Corynebacterium species) showed positive differential abundance when the pathobiont Staphylococcus aureus was absent, generating hypotheses regarding colonization resistance. By facilitating species-level taxonomic assignment to microbes from the human aerodigestive tract, the eHOMD is a vital resource enhancing clinical relevance of microbiome studies.\n\nIMPORTANCEThe eHOMD (ehomd.org) is a valuable resource for researchers, from basic to clinical, who study the microbiomes, and the individual microbes, in health and disease of body sites in the human aerodigestive tract, which includes the nasal passages, sinuses, throat, esophagus and mouth, and the lower respiratory tract. The eHOMD is an actively curated, web-based, open-access resource. eHOMD provides the following: (1) species-level taxonomy based on grouping 16S rRNA gene sequences at 98.5% identity, (2) a systematic naming scheme for unnamed and/or uncultivated microbial taxa, (3) reference genomes to facilitate metagenomic, metatranscriptomic and proteomic studies and (4) convenient cross-links to other databases (e.g., PubMed and Entrez). By facilitating the assignment of species names to sequences, the eHOMD is a vital resource for enhancing the clinical relevance of 16S rRNA gene-based microbiome studies, as well as metagenomic studies.

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