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bioRxiv2016

Use of whole-genome sequencing in the epidemiology of Campylobacter jejuni infections: state-of-knowledge

High-throughput whole-genome sequencing (WGS) is a revolutionary tool in public health microbiology and is gradually substituting classical typing methods in surveillance of infectious diseases. In combination with epidemiological methods, WGS is able to identify both sources and transmission-pathways during disease outbreak investigations. This review provides the current state of knowledge on the application of WGS in the epidemiology of Campylobacter jejuni, the leading cause of bacterial gastroenteritis in the European Union. We describe how WGS has improved surveillance and outbreak detection of C. jejuni infections and how WGS has increased our understanding of the evolutionary and epidemiological dynamics of this pathogen. However, the full implementation of this methodology in real-time is still hampered by a few hurdles. The limited insight into the genetic diversity of different lineages of C. jejuni impedes the validity of assumed genetic relationships. Furthermore, efforts are needed to reach a consensus on which analytic pipeline to use and how to define the strains cut-off value for epidemiological association while taking the needs and realities of public health microbiology in consideration. Even so, we claim that ample evidence is available to support the benefit of integrating WGS in the monitoring of C. jejuni infections and outbreak investigations.

Microbiology↗

bioRxiv2020

Rapid, qualitative prediction of antimicrobial resistance by alchemical free energy methods

The emergence of antimicrobial resistance (AMR) threatens modern medicine and necessitates more personalised treatment of bacterial infections. Sequencing the whole genome of the pathogen(s) in a clinical sample offers one way to improve clinical microbiology diagnostic services, and has already been adopted for tuberculosis in some countries. A key weakness of a genetics clinical microbiology is it cannot return a result for rare or novel genetic variants and therefore predictive methods are required. Non-synonymous mutations in the S. aureus dfrB gene can be successfully classified as either conferring resistance (or not) by calculating their effect on the binding free energy of the antibiotic, trimethoprim. The underlying approach, alchemical free energy methods, requires large numbers of molecular dynamics simulations to be run. We show that a large number (N=15) of binding free energies calculated from a series of very short (50 ps) molecular dynamics simulations are able to satisfactorily classify all seven mutations in our clinically-derived testset. A result for a single mutation could therefore be returned in less than an hour, thereby demonstrating that this or similar methods are now sufficiently fast and reproducible for clinical use.

microbiology↗

bioRxiv2020

Detection of hypermucoviscous Klebsiella pneumoniae sequence type 86 capsular type K2 in South America as an unexpected cause of a fatal outbreak in captivity marmosets

After the sudden death of eleven captives marmosets in a rehabilitation center of wildlife in Sao Paulo, Brazil, histological and microbiological study was conducted. Liver, spleen, intestine, central nervous system, lung, thymus, stomach, testicle tissues were analyzed by light microscopy and microbial cultures were conducted. Environmental cultures were also performed. Prophylactic antimicrobial therapy, restricted access to marmosets cages with dedicated staff, and additional sanitization of animals fruits were implemented. Histological findings were compatible with hyperacute septicemia, and microbiological cultures and molecular tests identified the etiologic agent as hypermucoviscous sequence type 86 capsular type K2 K. pneumoniae for the first time in South America. Implementation of prompt containment measures led to successful control of this outbreak. Detection of a hypervirulent and zoonotic pathogen, such as hypermucoviscous K. pneumoniae ST86 K2, in an unexpected and human interface reservoir underscores its potential threat in public health settings.

microbiology↗

bioRxiv2020

Rapid and real-time identification of fungi up to the species level with long amplicon Nanopore sequencing from clinical samples.

The availability of long-read technologies, like Oxford Nanopore Technologies, provides the opportunity to sequence longer fragments of the fungal ribosomal operon, up to 6 Kb (18S-ITS1-5.8S-ITS2-28S), and to improve the taxonomy assignment of the communities up to the species level and in real-time. We assess the taxonomy skills of amplicons targeting a 3.5 Kb region (V3 18S-ITS1-5.8S-ITS2-28S D2) and a 6 Kb region (V1 18S-ITS1-5.8S-ITS2-28S D12) with the Whats in my pot (WIMP) classifier. We used the ZymoBIOMICS mock community and different microbiological fungal cultures as positive controls. Long amplicon sequencing correctly identified Saccharomyces cerevisiae and Cryptococcus neoformans from the mock community and Malassezia pachydermatis, Microsporum canis, and Aspergillus fumigatus from the microbiological cultures. Besides, we identified Rhodotorula graminis in a culture mislabeled as Candida spp. We applied the same approach to external otitis in dogs. Malassezia was the dominant fungal genus in dogs ear skin, whereas M. pachydermatis was the main species in the healthy sample. Conversely, we identified a higher representation of M. globosa and M. sympodialis in otitis affected samples. We demonstrate the suitability of long ribosomal amplicons to characterize the fungal community of complex samples, either healthy or with clinical signs of infection.

microbiology↗

bioRxiv2020

Lack of evidence for microbiota in the placental and fetal tissues of rhesus macaques

The prevailing paradigm in obstetrics has been the sterile womb hypothesis. However, some are asserting that the placenta, intra-amniotic environment, and fetus harbor microbial communities. The objective of this study was to determine if the fetal and placental tissues of rhesus macaques harbor viable bacterial communities. Fetal, placental, and uterine wall samples were obtained from cesarean deliveries without labor ([~]130/166 days gestation). The presence of viable bacteria in the fetal intestine and placenta was investigated through culture. The bacterial burden and profile of the placenta, umbilical cord, and fetal brain, heart, liver, and colon were determined through quantitative real-time PCR and DNA sequencing. These data were compared with those of the uterine wall, as well as to negative and positive technical controls. Bacterial cultures of fetal and placental tissues yielded only a single colony of Cutibacterium acnes. This bacterium was detected at a low relative abundance (0.02%) in the 16S rRNA gene profile of the villous tree sample from which it was cultured, yet it was also identified in 12/29 background technical controls. The bacterial burden and profile of fetal and placental tissues did not exceed or differ from those of background technical controls. In contrast, the bacterial burden and profiles of positive controls exceeded and differed from those of background controls. Among the macaque samples, distinct microbial signals were limited to the uterine wall. Therefore, using multiple modes of microbiologic inquiry, there was not consistent evidence of viable bacterial communities in the fetal and placental tissues of rhesus macaques. IMPORTANCEMicrobial invasion of the amniotic cavity (i.e. intra-amniotic infection) has been causally linked to pregnancy complications, especially preterm birth. Therefore, if the placenta and the fetus are typically populated by low biomass yet viable microbial communities, current understanding of the role of microbes in reproduction and pregnancy outcomes will need to be fundamentally reconsidered. Could these communities be of benefit by competitively excluding potential pathogens or priming the fetal immune system for the microbial bombardment it will experience upon delivery? If so, what properties (e.g. microbial load, community membership) of these microbial communities preclude versus promote intra-amniotic infection? Given the ramifications of the in utero colonization hypothesis, critical evaluation is required. In this study, using multiple modes of microbiologic inquiry (i.e. culture, qPCR, DNA sequencing) and controlling for potential background DNA contamination, we did not find consistent evidence for microbial communities in the placenta and fetal tissues of rhesus macaques.

microbiology↗

bioRxiv2020

Comparison of the NeuMoDX, Diasorin Simplexa, Cepheid and Roche CDC SARS-CoV 2 EUA assays using nasopharyngeal/nasal swabs in universal transport media (UTM) and sputum and tracheal aspirates

In March 2019 the outbreak of SARS-CoV 2 was officially defined as a pandemic by the World Health Organization and shortly after, the United States Food and Drug Administration (FDA) granted Emergency Use Authorization (EUA) to the Centers for Disease Control (CDC) for reverse transcription polymerase chain reaction (rtPCR) molecular testing for the detection of the SARS-CoV-2 virus from NP swabs. Since then, EUA with relaxed regulations were granted to numerous manufacturers and clinical microbiology laboratories to implement in-house testing assays with nasopharyngeal swabs (NP) and subsequently additional specimen types. Because of supply chain shortages leading to competition for reagents, sustaining any significant volume of testing soon became problematic. As a countermeasure, within several weeks the Henry Ford Microbiology Laboratory validated 4 different rtPCR assays and multiple specimen types using NeuMoDX, Diasorin Simplexa, Cepheid and Roche platforms. The purpose of this study was to analyze the analytic sensitivity of these rtPCR assays with NP/nasal swabs and sputum/tracheal aspirates. Qualitative analytic agreement between the 4 platforms for NP/nasal swabs ranged 95% - 100% overall with no statistically significant difference in threshold cT values. Similar results were obtained with the sputum/tracheal aspirates. These data demonstrate the high accuracy and reproducibility in detection of SARS-CoV 2 between the rtPCR assays performed on 4 different platforms with numerous specimen types.

microbiology↗

bioRxiv2020

Bioremediation potential of bacterial species from a contaminated aquifer undergoing intrinsic remediation

Literature on microbiome of landfill leachate-contaminated aquifers is scarce despite groundwater contaminations from landfills being common globally. In this study, a combination of microbiological techniques was applied to groundwater samples from an aquifer contaminated by a municipal landfill and undergoing intrinsic bioremediation. Groundwater samples were obtained from three multilevel sampling wells placed along the groundwater flow path in the contaminated aquifer and additionally from a background well located in a nearby uncontaminated aquifer. The samples were subjected to chemical analysis, microbial culturing and characterisation, cell counting by fluorescence microscopy and 16S rRNA metabarcoding. Good concordance was realised with the results from the different microbiological techniques. Samples from the uncontaminated aquifer had both lower cell density and lower microbial diversity compared to samples from the contaminated aquifer. Among the wells located in the contaminated aquifer, microbial diversity increased between the well closest to the landfill and the intermediate well, but was lower at the most distant well. The majority of the cultured microbes represented taxa frequently recovered from contaminated environments, with 47% belonging to taxa with previously documented bioremediation potential. Multivariate redundancy analysis showed that microbial composition was most similar in wells located closer to the landfill, although beta diversity analysis indicated a significant difference in microbial composition across the wells. Taken together with the results of cell counting, culture and metabarcoding, these findings illustrate the effect of landfill leachate on the microbial community and indicate that microbes are capable of hydrocarbon, sulphur, nitrogen, iron and manganese metabolism.

microbiology↗

bioRxiv2020

Environmental conditions dictate differential evolution of vancomycin resistance in Staphylococcus aureus

While microbiological resistance to vancomycin in Staphylococcus aureus is rare, clinical vancomycin treatment failures are common, and methicillin-resistant S. aureus (MRSA) strains isolated from patients after prolonged vancomycin treatment failure remain susceptible. Adaptive laboratory evolution was utilized to uncover mutational mechanisms associated with MRSA vancomycin resistance in a bacteriological medium used in clinical susceptibility testing and a physiological medium. Sequencing of resistant clones revealed shared and media-specific mutational outcomes, with an overlap in cell wall regulons (walKRyycHI, vraSRT). Evolved strains displayed similar genetic and phenotypic traits to resistant clinical isolates. Importantly, resistant phenotypes that developed in physiological media did not translate into resistance in bacteriological media. Further, a bacteriological media-specific mechanism for vancomycin resistance enabled by a mutated mprF was confirmed. This study bridges the gap of understanding between clinical and microbiological vancomycin resistance in S. aureus and expands the number of allelic variants that result in vancomycin resistance phenotypes.

microbiology↗

bioRxiv2020

Updated definitions on piezophily as suggested by hydrostatic pressure dependence on temperature

Microbial preference for elevated hydrostatic pressure (HP) is a recognized key feature of environmental and industrial processes. HP effects on macromolecules and, consequently, cell functionality has been accurately described in the last decades. While there is little debate about the importance of HP in shaping microbial life, a systematic definition of microbial preference for increased HP is missing. The lack of a consensus about true piezophiles, and low or high HP levels, has deleterious repercussions on microbiology and biotechnology. As certain levels are considered low they are not applied to assess microbial activity. Most microorganisms collected in deep waters or sediments have not been tested (nor isolated) using the corresponding HP at which they were captured. Microbial response to HP is notoriously dependent on other environmental parameters, most notably temperature, but also on availability of nutrients, growth substrate, pH and salinity. This implies that countless isolates retrieved from ambient pressure conditions may very well require increased HP to grow optimally, as already demonstrated in both Archaea and Bacteria. In the present study, I collected the data from described piezophilic isolates and used the fundamental correlation existing between HP and temperature, as first suggested in seminal works by Yayanos, to update the definition of piezophiles. Thanks to the numerous new piezophilic isolates available since such seminal studies, the present analysis brings forward updated definitions which concern 1) the actual beginning of the piezosphere, the area in the deep sea where piezophiles thrive; 2) the HP thresholds which should be considered low, medium and high HP, and their implications for experimental design in Microbiology; and 3) the nature of obligate piezophiles and their location in the deep sea.

microbiology↗

bioRxiv2020

Convergent evolution of Streptomyces protease inhibitors involving a tRNA-mediated condensation-minus NRPS

Small peptide aldehydes (SPAs) with protease inhibitory activity are natural products typically synthesized by nonribosomal peptide synthetases (NRPS). SPAs are widely used in biotechnology, as therapeutic agents, they are physiologically relevant and regulate development of the natural hosts. During genome evolutionary analysis of Streptomyces lividans 66 we identified an NRPS-like biosynthetic gene cluster (BGC) that lacked a condensation (C) domain but included a tRNA-Utilizing Enzyme (tRUE) belonging to the leucyl/phenylalanyl (L/F) transferase family. This system was predicted to direct the synthesis of a novel SPA with protease inhibitory activity, called livipeptin. Following genome mining and phylogenomic analyses we confirmed the presence of tRUEs within diverse Streptomyces genomes, including fusions with a C-minus NRPS-like protein. We further demonstrate functional cooperation between these enzymes and provide the biosynthetic rules for the synthesis of livipeptin, expanding the known universe of acetyl-leu/phe-arginal SPAs. The L/F-transferase C-minus NRPS productive interaction was shown to be tRNA-dependent after semisynthetic assays in the presence of RNAse, which contrasts with leupeptin, an acetyl-leu-arginal SPA that we show to be produced by Streptomyces roseous ATCC 31245 via a tRUE-minus BGC with multiple complete NRPSs. Thus, livipeptin and leupeptin are the result of convergent evolution, which has driven the appearance of unprecedented biosynthetic logics directing the synthesis of protease inhibitors thought to be at the core of Streptomyces colony biology. Our results pave the way for understanding this Streptomyces trait, as well as for the discovery of novel natural products following evolutionary genome mining approaches. Abstract importanceConvergent evolution in microbiology is believed to be highly recurrent yet examples that have been comprehensively characterized are scarce. Proteases inhibition by small peptide aldehydes is at the core of many microbiological processes, both within the cell and during colony development, and in microbial ecology. Here we report the biosynthetic foundations of leupeptin, the main Streptomyces protease inhibitor, and of livipeptin, a protease inhibitor produced by Streptomyces lividans. Although these peptides belong to the same chemical class, here we show that their biosynthetic routes result from convergent evolution, as they involve unrelated biosynthetic mechanisms, including the recruitment of a tRNA-utilizing enzyme that functionally replaces the condensation domain of a nonribosomal peptide synthetase during livipeptin biosynthesis. Thus, these results pave the way for understanding Streptomyces protease inhibitors as a trait and provide unprecedented knowledge for genome mining of natural products and synthetic biology where proteases inhibition is desirable.

microbiology↗

bioRxiv2021

Comparative investigation of the Diabetic foot ulcer microbiome

BackgroundMany factors may affect wound healing in Diabetic foot ulcer, namely, microbial density, microorganisms, microbial synergy, the host immune response, and infected tissue quality. MethodologyThis study used a cross-sectional design. We assessed 38 Subjects with DFUs, 23 neuroischaimic, and 15 neuropathic, for microbiota colonizing the DFU utilizing traditional cultures and 16S gene sequencing methods. All the relevant clinical factors were collected. Wound swabs were collected for both traditional microbiological analysis, direct swab (DSM), and cultured (CM) microbiome analysis. DNA isolation, and 16SrRNA hypervariable regions were amplified. Bioinformatics analysis was performed using IonReporter Software, statistical analysis, and diversity indices were computed with vegan R-package. ResultsThe traditional microbiological method was able to detect a maximum of one or two pathogens, and, in some cases, no pathogen was detected. The total number of the observed species was 176. The number of identified species was higher in the cultured microbiome (155) than the direct swab microbiome (136). Diversity analysis indicated that biological diversity is higher in the cultured microbiome compared with the DSM. The Shannon H index was 2.75 for the cultured microbiome and 2.63 for DSM. We observed some differences in the major bacterial taxa amongst neuroischaimic and neuropathic DFU microbiomes. ConclusionsCultured microbiome is superior to both the traditional method and direct swab microbiome. The Neuroischaimic group showed higher values for the tested diversity indices than the Neuroischaimic group. Neither Cluster Analysis nor Principal Component Analysis showed apparent clustering amongst the two types of ulcers.

microbiology↗

bioRxiv2021

Population genomics of Salmonella enterica serovar Weltevreden ST365, an emerging predominant causative agent of diarrheal disease

Salmonella enterica serovar Weltevreden is a recently emerged pathogen, and as such we lack a comprehensive knowledge of its microbiology, genomics, epidemiology and biogeography. In this study, we analyzed 174 novel S. Weltevreden isolates including 111 isolates recovered from diarrheal patients in China between 2006 and 2017. Our results demonstrate that the ST365 clone was the predominant causative agent of the diarrhea-outbreak during this period, as vast majority of the isolates recovered from diarrheal patients belonged to this sequence type (97.37%, 74/76). We also determined the ST365 clone as the predominant sequence type of S. Weltevreden from diarrheal patients globally from previously published sequences (97.51%, 196/201). In order to determine the possible antimicrobial genes and virulence factors associated with S. Weltevreden, we performed whole genome sequencing on our novel isolates. We were able to identify a range of key virulence factors associated with S. Weltevreden that are likely to be beneficial to their fitness and pathogenesis. Furthermore, we were able to isolate a novel 100.03-kb IncFII(S) type virulence plasmid that used the same replicon as pSPCV virulence plasmid. Importantly, we demonstrated through plasmid elimination a functional role for this plasmid in bacterial virulence. These findings are critical to further our knowledge of this high consequence pathogen. ImportanceSalmonella Weltevreden is a newly emerged foodborne pathogen and has caused several outbreaks of diarrheal diseases in some regions in the world. However, comprehensive knowledge of microbiology, genomics, epidemiology and biogeography of this newly emerged pathogen is still lack. In this study, we made an unexpected discovery that S. Weltevreden sequence type (ST) 365 is the causative agent in the diarrhea-outbreak in China and many other regions of the world. We also shown that this sequence type was widely recovered from animal, food, and environmental samples collected in different regions in the world. Importantly, we discovered a novel IncFII(S) type virulence plasmid commonly carried by S. Weltevreden strains of both human, animal, and food origins. These data facilitate future studies investigating the emergence of S. Weltevreden involved in diarrheal outbreaks and the global spread of S. Weltevreden strains.

microbiology↗

bioRxiv2021

ColFeatures: Automated data extraction and classification of bacterial colonies

Examining microbial colonies on agar plates have been at the core of microbiology for many decades. It is usually done manually, and therefore subject to bias besides requiring a considerable amount of time and effort. In order to optimize and standardize the identification of bacterial colonies growing on agar plates, we have developed an open access tool available on GitHub: ColFeatures. The software allows automated identification of bacterial colonies, extracts key morphological data and generate labels that ensure tracking of temporal development. We included machine learning algorithms that provide sorting of environmental isolates by using cluster methodologies. Furthermore, we show how cluster performance is evaluated using index scores (Silhouette, Calinski-Harabasz, Davies-Bouldin) to ensure the outcome of colony classification. As automation becomes more prominent in microbiology, tools as ColFeatures will assist identification of bacterial colonies on agar plates, bypassing human bias and complementing sequencing or mass spectrometry information that often comes attached with a considerable price tag.

microbiology↗

bioRxiv2021

Spatial and temporal constraints on the composition of microbial communities in subsurface boreholes of the Edgar Experimental Mine

The deep biosphere hosts uniquely adapted microorganisms overcoming geochemical extremes at significant depths within the crust of the Earth. While numerous novel microbial members with unique physiological modifications remain to be identified, even greater attention is required to understand the near-subsurface and its continuity with surface systems. This raises key questions about networking of surface hydrology, geochemistry affecting near-subsurface microbial composition, and resiliency of subsurface ecosystems. Here, we apply molecular and geochemical approaches to determine temporal microbial composition and environmental conditions of filtered borehole fluid from the Edgar Experimental Mine ([~]150 meters below the surface) in Idaho Springs, CO. Samples were collected over a 4-year collection period from expandable packers deployed to accumulate fluid in previously drilled boreholes located centimeters to meters apart, revealing temporal evolution of borehole microbiology. Meteoric water feeding boreholes demonstrated variable recharge rates likely due to a complex and undefined fracture system within the host rock. 16S rRNA gene analysis determined unique microbial communities occupy the four boreholes examined. Two boreholes yielded sequences revealing the presence of Proteobacteria, Firmicutes, and Nanoarcheota associated with endemic subsurface communities. Two other boreholes presented sequences related to soil-originating microbiota, which likely indicate a direct link to surface infiltration. High concentrations of sulfate suggest sulfur-related metabolic strategies dominate within these near-subsurface boreholes. Overall, results indicate microbial community composition in the near-subsurface is highly dynamic at very fine spatial scales (<20cm) within fluid-rock equilibrated boreholes, which additionally supports the role of a relationship for surface geochemical processes infiltrating and influencing subsurface environments. ImportanceThe Edgar Experimental Mine, Idaho Springs, Colorado provides inexpensive and open access to borehole investigations for subsurface microbiology studies. Understanding how microbial processes in the near-subsurface are connected to surface hydrological influences like meteoric input is lacking. Investigating microbial communities of subsurface mine boreholes provides evidence of how geochemical processes are linked to biogeochemical processes within each borehole, and the geochemical connectedness and mobility of surface influences. This study details microbial community composition and fluid geochemistry over spatial and temporal scales from boreholes within the Edgar Mine. These findings are relevant to biogeochemistry of near-surface mines, caves and other voids across planetary terrestrial systems. In addition, this work can lead to understanding how microbial communities relating to both fluid-rock equilibration and geochemical influences may enhance our understanding of subsurface molecular biological tools that aid mining economic practices to reflect biological signals for lucrative veins in the near subsurface.

microbiology↗

bioRxiv2021

Microbial association networks in cheese: a meta-analysis

Interactions among starter and non-starter microorganisms (starter bacteria, naturally occurring or intentionally added non-starter bacteria, yeasts and filamentous fungi, spoilage and pathogenic microorganisms and, finally bacteriophages and even arthropods) deeply affect the dynamics of cheese microbial communities and, as a consequence, multiple aspects of cheese quality, from metabolites affecting the taste, aroma and flavour, to body, texture and colour. Understanding and exploiting microbial interactions is therefore key to managing cheese quality. This is true for the simplest systems (fresh cheeses produced from pasteurized milk using defined starters composed solely of Lactic Acid Bacteria) and the more so for complex, dynamic systems, like surface ripened cheese produced from raw milk, in which a dynamic succession of diverse microorganisms is essential for obtained the desired combination of sensory properties while guaranteeing safety. Positive (commensalism, protocooperation) and negative (competition, amensalism, predation and parasitism) among members of the cheese biota have been reviewed multiple times. Although the complex, multidimensional datasets generated by multi-omic approaches to cheese microbiology and biochemistry are ideally suited for the representation of biotic and metabolic interactions as networks, network science concepts and approaches are rarely applied to cheese microbiology. In this review we first illustrate concepts relevant to the description of microbial interaction networks using network science concepts. Then, we briefly review methods used for the inference and analysis of microbial association networks and their potential use in the interpretation of the cheese interactome. Since these methods can only be used for mining microbial associations, a review of the experimental methods used to confirm the nature of microbial interactions among cheese microbes. Finally, we demonstrate the potential of microbial association network inference by mining metataxonomic data stored in the public database DairyFMBN, a specialized version of FoodMicrobionet which collates data on 74 metataxonomic studies on dairy products. Microbial association networks were inferred from 34 studies on cheese with up to 4 different methods and the results discussed to evaluate several aspects (choice of method, level of taxonomic resolution for the analysis, network, node and edge properties) which provide insight on the usefulness of this approach as explorative tool in the detection of microbial interactions in cheese. HighlightsO_LIApproaches for inference of association networks from metataxonomic data were reviewed C_LIO_LIA metastudy on association networks in cheese was carried out using 34 recent studies C_LIO_LIInference method and taxonomic resolution should be chosen carefully C_LIO_LISPIEC-EASI may be used as a conservative method for microbial association inference C_LIO_LIEdge and node properties support the formulation of testable hypotheses for microbial interactions C_LI

microbiology↗

bioRxiv2021

DeepBacs: Bacterial image analysis using open-source deep learning approaches

Deep Learning (DL) is rapidly changing the field of microscopy, allowing for efficient analysis of complex data while often out-performing classical algorithms. This revolution has led to a significant effort to create user-friendly tools allowing biomedical researchers with little background in computer sciences to use this technology effectively. Thus far, these approaches have mainly focused on analysing microscopy images from eukaryotic samples and are still underused in microbiology. In this work, we demonstrate how to use a range of state-of-the-art artificial neural-networks particularly suited for the analysis of bacterial microscopy images, using our recently developed ZeroCostDL4Mic platform. We showcase different DL approaches for segmenting bright field and fluorescence images of different bacterial species, use object detection to classify different growth stages in time-lapse imaging data, and carry out DL-assisted phenotypic profiling of antibiotic-treated cells. To also demonstrate the DL capacity to enhance low-phototoxicity live-cell microscopy, we showcase how image denoising can allow researchers to attain high-fidelity data in faster and longer imaging. Finally, artificial labelling of cell membranes and predictions of super-resolution images allow for accurate mapping of cell shape and intracellular targets. To aid in the training of novice users, we provide a purposefully-built database of training and testing data, enabling bacteriologists to quickly explore how to analyse their data through DL. We hope this lays a fertile ground for the efficient application of DL in microbiology and fosters the creation of novel tools for bacterial cell biology and antibiotic research.

microbiology↗

bioRxiv2022

Out of the blue: the independent activity of sulfur-oxidizers and diatoms mediate the sudden color shift of a tropical river

Rio Celeste ("Sky-Blue River") is a river located in the Tenorio National Park (Costa Rica) that has become an important hotspot for eco-tourism due to its striking sky-blue color. A previous study suggested that this color is not caused by dissolved chemical species, but by precipitation of lightscattering aluminosilicate particles at the mixing point of two colorless streams, the acidic Quebrada Agria and the neutral Rio Buenavista. We now present microbiological information on Rio Celeste and its two tributaries, as well as a more detailed characterization of the particles that occur at the mixing point. Our results overturn the previous belief that the light scattering particles are formed by the aggregation of smaller particles coming from Rio Buenavista, and rather point to chemical formation of hydroxyaluminosilicate colloids with Quebrada Agria as the main contributor to the phenomenon, with Rio Buenavista acting as a secondary source of silica to the reaction. We also show how the sky-blue color of Rio Celeste arises from the tight interaction between chemical and biological processes. Sulfur-oxidizing bacteria generate an acidic environment in Quebrada Agria, which in turn cause dissolution and mobilization of aluminum and other metals, while in Rio Buenavista the growth of diatoms transforms dissolved silicon into colloidal biogenic forms. The local interaction between these two well-known biological activities gives rise to the unique Rio Celeste phenomenon, in what constitutes a textbook example of emergent behavior in environmental microbiology.

microbiology↗

bioRxiv2022

Low diversity and instability of the sinus microbiota over time in adults with cystic fibrosis

BackgroundChronic rhinosinusitis (CRS) is a common, yet underreported and understudied manifestation of upper respiratory disease in people with cystic fibrosis (CF). There are currently no standard of care guidelines for the management of CF CRS, but treatment of upper airway disease may ameliorate lower airway disease. We sought to inform future treatment guidelines by determining whether changes to sinus microbial community diversity and specific taxa known to cause CF lung disease are associated with increased respiratory disease and inflammation. MethodsWe performed 16S rRNA gene sequencing, supplemented with cytokine analyses, microscopy, and bacterial culturing, on samples from the sinuses of 27 adults with CF CRS at the University of Pittsburghs CF Sinus Clinic. At each study visit, participants underwent endoscopic paranasal sinus sampling and clinical evaluation. We identified key drivers of microbial community composition and evaluated relationships between diversity and taxa with disease outcomes and inflammation. FindingsSinus community diversity was low and the composition was unstable, with many participants exhibiting alternating dominance between Pseudomonas aeruginosa and Staphylococci over time. Despite a tendency for dominance by these two taxa, communities were highly individualized and shifted composition during exacerbation of sinus disease symptoms. Exacerbations were also associated with communities dominated by Staphylococcus spp. Reduced microbial community diversity was linked to worse sinus disease and the inflammatory status of the sinuses (including increased IL-1{beta}). Increased IL-1{beta} was also linked to worse sinus endoscopic appearance, and other cytokines were linked to microbial community dynamics. InterpretationTo our knowledge, this is the largest longitudinal study of microbial communities and cytokine secretion in CF CRS. Our work revealed previously unknown instability of sinus microbial communities and a link between inflammation, lack of microbial community diversity, and worse sinus disease. FundingCystic Fibrosis Foundation and US National Institutes of Health. Research in ContextO_ST_ABSEvidence before this studyC_ST_ABSA search of the PubMed database on October 11, 2021 with the terms [cystic fibrosis sinus microbiome] yielded 16 results, and we have identified seven primary research articles on the CF CRS microbiome (including re-analyses of existing datasets). Most are cross-sectional cohort analyses, along with one prior longitudinal study of four adults at the University of Auckland, New Zealand. Together, these prior studies reveal similarities between CF CRS and CF sputum microbiomes, including low community diversity associated with sinus disease, the presence of common CF-associated microbes in the sinuses, and prevalence of sinus communities dominated by P. aeruginosa or Staphylococcus aureus. High levels of IL-1{beta} are linked to the presence of nasal polyps in CF CRS, and polymorphisms in the IL-1 receptor antagonist gene are associated with risk of CRS outside of the context of CF. Two prior studies of this cohort have been performed by our laboratory. One describes clinical indicators of CF sinus disease and the other links sinus infection biogeography to P. aeruginosa evolutionary genomics. Added value of this studyOur study is the first to examine longitudinal relationships between the host immune response (through cytokine profiling) and microbiota dynamics in CF CRS, including linking elevated IL-1{beta} to worse sinus disease through reduced sinus microbial community diversity. The longitudinal nature of our study also allowed us to uncover striking temporal instability of microbial communities in approximately half of our cohorts sinus microbial communities over two years, including switching between communities dominated by P. aeruginosa and Staphylococcus spp. This instability could hinder attempts to link the relative abundance of taxa to clinical outcomes of interest in cross-sectional studies (e.g., markers of disease progression). We also identified patterns of synergy and antagonism between specific taxa, and impacts of the host immune response in the sinuses on community composition. Implications of all the available evidenceTogether with prior CF CRS microbiome studies, our study underscores similarities between sinus and lower respiratory tract microbial community structure in CF, and we show how community structure tracks with inflammation and several disease measures. This work strongly suggests that clinical management of CRS could be leveraged to improve overall respiratory health in CF. Our work implicates elevated IL-1{beta} in reduced microbiota diversity and worse sinus disease in CF CRS, suggesting applications for existing therapies targeting IL-1{beta}. Finally, the widespread use of highly effective CFTR modulator therapy has led to less frequent availability of spontaneous expectorated sputum for microbiological surveillance of lung infections. A better understanding of CF sinus microbiology could provide a much-needed alternative site for monitoring respiratory infection status by important CF pathogens.

microbiology↗