Sean Conlan

Topographical and temporal diversity of the human skin microbiome.

The Close and Personal Biome Fortunately, our skin is readily accessible for ecological studies of the microbial communities that influence health and disease states. Grice et al. (p. 1190) present a metagenomic survey of body sites from 10 healthy human individuals sampled over time. Although, altogether 18 phyla were discovered, only a few predominated. The most diverse communities were found on the forearm and the least behind the ear, but between people the microorganisms living behind the knees, in the elbow, and behind the ear were most similar. This finding might have some bearing on the common occurrence of atopic dermatitis in these zones, although no similar relationship was discerned between skin microbial flora and psoriasis. The human skin provides a landscape of dry, damp, and greasy niches for a diversity of symbiotic microorganisms. Human skin is a large, heterogeneous organ that protects the body from pathogens while sustaining microorganisms that influence human health and disease. Our analysis of 16S ribosomal RNA gene sequences obtained from 20 distinct skin sites of healthy humans revealed that physiologically comparable sites harbor similar bacterial communities. The complexity and stability of the microbial community are dependent on the specific characteristics of the skin site. This topographical and temporal survey provides a baseline for studies that examine the role of bacterial communities in disease states and the microbial interdependencies required to maintain healthy skin.

Temporal shifts in the skin microbiome associated with disease flares and treatment in children with atopic dermatitis

Atopic dermatitis (AD) has long been associated with Staphylococcus aureus skin colonization or infection and is typically managed with regimens that include antimicrobial therapies. However, the role of microbial communities in the pathogenesis of AD is incompletely characterized. To assess the relationship between skin microbiota and disease progression, 16S ribosomal RNA bacterial gene sequencing was performed on DNA obtained directly from serial skin sampling of children with AD. The composition of bacterial communities was analyzed during AD disease states to identify characteristics associated with AD flares and improvement post-treatment. We found that microbial community structures at sites of disease predilection were dramatically different in AD patients compared with controls. Microbial diversity during AD flares was dependent on the presence or absence of recent AD treatments, with even intermittent treatment linked to greater bacterial diversity than no recent treatment. Treatment-associated changes in skin bacterial diversity suggest that AD treatments diversify skin bacteria preceding improvements in disease activity. In AD, the proportion of Staphylococcus sequences, particularly S. aureus, was greater during disease flares than at baseline or post-treatment, and correlated with worsened disease severity. Representation of the skin commensal S. epidermidis also significantly increased during flares. Increases in Streptococcus, Propionibacterium, and Corynebacterium species were observed following therapy. These findings reveal linkages between microbial communities and inflammatory diseases such as AD, and demonstrate that as compared with culture-based studies, higher resolution examination of microbiota associated with human disease provides novel insights into global shifts of bacteria relevant to disease progression and treatment.

A New Arenavirus in a Cluster of Fatal Transplant-Associated Diseases

BACKGROUND Three patients who received visceral-organ transplants from a single donor on the same day died of a febrile illness 4 to 6 weeks after transplantation. Culture, polymerase-chain-reaction (PCR) and serologic assays, and oligonucleotide microarray analysis for a wide range of infectious agents were not informative. METHODS We evaluated RNA obtained from the liver and kidney transplant recipients. Unbiased high-throughput sequencing was used to identify microbial sequences not found by means of other methods. The specificity of sequences for a new candidate pathogen was confirmed by means of culture and by means of PCR, immunohistochemical, and serologic analyses. RESULTS High-throughput sequencing yielded 103,632 sequences, of which 14 represented an Old World arenavirus. Additional sequence analysis showed that this new arenavirus was related to lymphocytic choriomeningitis viruses. Specific PCR assays based on a unique sequence confirmed the presence of the virus in the kidneys, liver, blood, and cerebrospinal fluid of the recipients. Immunohistochemical analysis revealed arenavirus antigen in the liver and kidney transplants in the recipients. IgM and IgG antiviral antibodies were detected in the serum of the donor. Seroconversion was evident in serum specimens obtained from one recipient at two time points. CONCLUSIONS Unbiased high-throughput sequencing is a powerful tool for the discovery of pathogens. The use of this method during an outbreak of disease facilitated the identification of a new arenavirus transmitted through solid-organ transplantation.

Stochastic sensing of organic analytes by a pore-forming protein containing a molecular adapter.

The detection of organic molecules is important in many areas, including medicine, environmental monitoring and defence. Stochastic sensing is an approach that relies on the observation of individual binding events between analyte molecules and a single receptor. Engineered transmembrane protein pores are promising sensor elements for stochastic detection, and in their simplest manifestation they produce a fluctuating binary (‘on/off’) response in the transmembrane electrical current. The frequency of occurrence of the fluctuations reveals the concentration of the analyte, and its identity can be deduced from the characteristic magnitude and/or duration of the fluctuations. Genetically engineered versions of the bacterial pore-forming protein α-haemolysin have been used to identify and quantify divalent metal ions in solution. But it is not immediately obvious how versatile binding sites for organic ligands might be obtained by engineering of the pore structure. Here we show that stochastic sensing of organic molecules can be procured from α-haemolysin by equipping the channel with an internal, non-covalently bound molecular ‘adapter’ which mediates channel blocking by the analyte. We use cyclodextrins as the adapters because these fit comfortably inside the pore and present a hydrophobic cavity suitable for binding a variety of organic analytes. Moreover, a single sensing element of this sort can be used to analyse a mixture of organic molecules with different binding characteristics. We envisage the use of other adapters, so that the pore could be ‘programmed’ for a range of sensing functions.

Compartmentalized Control of Skin Immunity by Resident Commensals

Skin Specifics Much of the recent attention paid to the trillions of bacteria that colonize our bodies has been given to the bacteria that reside in the gut. Naik et al. (p. 1115, published online 26 July) report that colonization of the skin with commensal bacteria is important for tuning effector T cell responses in the skin and for protective immunity against cutaneous infection with the parasite Leishmania major in mice. In contrast, selective depletion of the gut microbiota, which plays an important role in modulating immune responses in the gut, had no impact on T cell responses in the skin. The skin microbiota play a selective role in modulating immunity in the skin of mice. Intestinal commensal bacteria induce protective and regulatory responses that maintain host-microbial mutualism. However, the contribution of tissue-resident commensals to immunity and inflammation at other barrier sites has not been addressed. We found that in mice, the skin microbiota have an autonomous role in controlling the local inflammatory milieu and tuning resident T lymphocyte function. Protective immunity to a cutaneous pathogen was found to be critically dependent on the skin microbiota but not the gut microbiota. Furthermore, skin commensals tuned the function of local T cells in a manner dependent on signaling downstream of the interleukin-1 receptor. These findings underscore the importance of the microbiota as a distinctive feature of tissue compartmentalization, and provide insight into mechanisms of immune system regulation by resident commensal niches in health and disease.

Topographic diversity of fungal and bacterial communities in human skin

Traditional culture-based methods have incompletely defined the microbial landscape of common recalcitrant human fungal skin diseases, including athlete’s foot and toenail infections. Skin protects humans from invasion by pathogenic microorganisms and provides a home for diverse commensal microbiota. Bacterial genomic sequence data have generated novel hypotheses about species and community structures underlying human disorders. However, microbial diversity is not limited to bacteria; microorganisms such as fungi also have major roles in microbial community stability, human health and disease. Genomic methodologies to identify fungal species and communities have been limited compared with those that are available for bacteria. Fungal evolution can be reconstructed with phylogenetic markers, including ribosomal RNA gene regions and other highly conserved genes. Here we sequenced and analysed fungal communities of 14 skin sites in 10 healthy adults. Eleven core-body and arm sites were dominated by fungi of the genus Malassezia, with only species-level classifications revealing fungal-community composition differences between sites. By contrast, three foot sites—plantar heel, toenail and toe web—showed high fungal diversity. Concurrent analysis of bacterial and fungal communities demonstrated that physiologic attributes and topography of skin differentially shape these two microbial communities. These results provide a framework for future investigation of the contribution of interactions between pathogenic and commensal fungal and bacterial communities to the maintainenace of human health and to disease pathogenesis.Traditional culture-based methods have incompletely defined the etiology of common recalcitrant human fungal skin diseases including athlete’s foot and toenail infections. Skin protects humans from invasion by pathogenic microorganisms, while providing a home for diverse commensal microbiota1. Bacterial genomic sequence data have generated novel hypotheses about species and community structures underlying human disorders2,3,4. However, microbial diversity is not limited to bacteria; microorganisms such as fungi also play major roles in microbial community stability, human health and disease5. Genomic methodologies to identify fungal species and communities have been limited compared with tools available for bacteria6. Fungal evolution can be reconstructed with phylogenetic markers, including ribosomal RNA gene regions and other highly conserved genes7. Here, we sequenced and analyzed fungal communities of 14 skin sites in 10 healthy adults. Eleven core body and arm sites were dominated by Malassezia fungi, with species-level classifications revealing greater topographical resolution between sites. By contrast, three foot sites, plantar heel, toenail, and toeweb, exhibited tremendous fungal diversity. Concurrent analysis of bacterial and fungal communities demonstrated that skin physiologic attributes and topography differentially shape these two microbial communities. These results provide a framework for future investigation of interactions between pathogenic and commensal fungal and bacterial communities in maintaining human health and contributing to disease pathogenesis.

Panmicrobial Oligonucleotide Array for Diagnosis of Infectious Diseases

To facilitate rapid, unbiased, differential diagnosis of infectious diseases, we designed GreeneChipPm, a panmicrobial microarray comprising 29,455 sixty-mer oligonucleotide probes for vertebrate viruses, bacteria, fungi, and parasites. Methods for nucleic acid preparation, random primed PCR amplification, and labeling were optimized to allow the sensitivity required for application with nucleic acid extracted from clinical materials and cultured isolates. Analysis of nasopharyngeal aspirates, blood, urine, and tissue from persons with various infectious diseases confirmed the presence of viruses and bacteria identified by other methods, and implicated Plasmodium falciparum in an unexplained fatal case of hemorrhagic feverlike disease during the Marburg hemorrhagic fever outbreak in Angola in 2004–2005.

Biogeography and individuality shape function in the human skin metagenome

The varied topography of human skin offers a unique opportunity to study how the body’s microenvironments influence the functional and taxonomic composition of microbial communities. Phylogenetic marker gene-based studies have identified many bacteria and fungi that colonize distinct skin niches. Here metagenomic analyses of diverse body sites in healthy humans demonstrate that local biogeography and strong individuality define the skin microbiome. We developed a relational analysis of bacterial, fungal and viral communities, which showed not only site specificity but also individual signatures. We further identified strain-level variation of dominant species as heterogeneous and multiphyletic. Reference-free analyses captured the uncharacterized metagenome through the development of a multi-kingdom gene catalogue, which was used to uncover genetic signatures of species lacking reference genomes. This work is foundational for human disease studies investigating inter-kingdom interactions, metabolic changes and strain tracking, and defines the dual influence of biogeography and individuality on microbial composition and function.

Commensal–dendritic-cell interaction specifies a unique protective skin immune signature

The skin represents the primary interface between the host and the environment. This organ is also home to trillions of microorganisms that play an important role in tissue homeostasis and local immunity. Skin microbial communities are highly diverse and can be remodelled over time or in response to environmental challenges. How, in the context of this complexity, individual commensal microorganisms may differentially modulate skin immunity and the consequences of these responses for tissue physiology remains unclear. Here we show that defined commensals dominantly affect skin immunity and identify the cellular mediators involved in this specification. In particular, colonization with Staphylococcus epidermidis induces IL-17A+ CD8+ T cells that home to the epidermis, enhance innate barrier immunity and limit pathogen invasion. Commensal-specific T-cell responses result from the coordinated action of skin-resident dendritic cell subsets and are not associated with inflammation, revealing that tissue-resident cells are poised to sense and respond to alterations in microbial communities. This interaction may represent an evolutionary means by which the skin immune system uses fluctuating commensal signals to calibrate barrier immunity and provide heterologous protection against invasive pathogens. These findings reveal that the skin immune landscape is a highly dynamic environment that can be rapidly and specifically remodelled by encounters with defined commensals, findings that have profound implications for our understanding of tissue-specific immunity and pathologies.

Cohort Study of Molecular Identification and Typing of Mycobacterium abscessus, Mycobacterium massiliense, and Mycobacterium bolletii

ABSTRACT Mycobacterium abscessus is the most common cause of rapidly growing mycobacterial chronic lung disease. Recently, two new M. abscessus-related species, M. massiliense and M. bolletii, have been described. Health care-associated outbreaks have recently been investigated by the use of molecular identification and typing tools; however, very little is known about the natural epidemiology and pathogenicity of M. massiliense or M. bolletii outside of outbreak situations. The differentiation of these two species from M. abscessus is difficult and relies on the sequencing of one or more housekeeping genes. We performed extensive molecular identification and typing of 42 clinical isolates of M. abscessus, M. massiliense, and M. bolletii from patients monitored at the NIH between 1999 and 2007. The corresponding clinical data were also examined. Partial sequencing of rpoB, hsp65, and secA led to the unambiguous identification of 26 M. abscessus isolates, 7 M. massiliense isolates, and 2 M. bolletii isolates. The identification results for seven other isolates were ambiguous and warranted further sequencing and an integrated phylogenetic analysis. Strain relatedness was assessed by repetitive-sequence-based PCR (rep-PCR) and pulsed-field gel electrophoresis (PFGE), which showed the characteristic clonal groups for each species. Five isolates with ambiguous species identities as M. abscessus-M. massiliense by rpoB, hsp65, and secA sequencing clustered as a distinct group by rep-PCR and PFGE together with the M. massiliense type strain. Overall, the clinical manifestations of disease caused by each species were similar. In summary, a multilocus sequencing approach (not just rpoB partial sequencing) is required for division of M. abscessus and closely related species. Molecular typing complements sequence-based identification and provides information on prevalent clones with possible relevant clinical aspects.