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Salmonella enterica Serovar Typhimurium ST313 Responsible For Gastroenteritis In The UK Are Genetically Distinct From Isolates Causing Bloodstream Infections In Africa

The ST313 sequence type of Salmonella enterica serovar Typhimurium causes invasive non-typhoidal salmonellosis amongst immunocompromised people in sub-Saharan Africa (sSA). Previously, two distinct phylogenetic lineages of ST313 have been described which have rarely been found outside sSA. Following the introduction of routine whole genome sequencing of Salmonella enterica by Public Health England in 2014, we have discovered that 2.7% (79/2888) of S. Typhimurium from patients in England and Wales are ST313. Of these isolates, 59/72 originated from stool and 13/72 were from extra-intestinal sites. The isolation of ST313 from extra-intestinal sites was significantly associated with travel to Africa (OR 12 [95% CI: 3,53]). Phylogenetic analysis revealed previously unsampled diversity of ST313, and distinguished UK-linked isolates causing gastroenteritis from African-associated isolates causing invasive disease. Bayesian evolutionary investigation suggested that the two African lineages diverged from their most recent common ancestors independently, circa 1796 and 1903. The majority of genome degradation of African ST313 lineage 2 is conserved in the UK ST313 lineages and only 10/44 pseudogenes were lineage 2-specific. The African lineages carried a characteristic prophage and antibiotic resistance gene repertoire, suggesting a strong selection pressure for these horizontally-acquired genetic elements in the sSA setting. We identified an ST313 isolate associated with travel to Kenya that carried a chromosomally-located blaCTX-M-15, demonstrating the continual evolution of this sequence type in Africa in response to selection pressure exerted by antibiotic usage.\n\nThe S. Typhimurium ST313 sequence type has been primarily associated with invasive disease in Africa. Here, we highlight the power of routine whole-genome-sequencing by public health agencies to make epidemiologically-significant deductions that would be missed by conventional microbiological methods. The discovery of ST313 isolates responsible for gastroenteritis in the UK reveals new diversity in this important sequence type. We speculate that the niche specialization of sub-Saharan African ST313 lineages is driven in part by the acquisition of accessory genome elements.

microbiology↗

Correlated expression of archaeal ammonia oxidation machinery across disparate environmental and culture conditions

Thaumarchaea are ubiquitous in marine habitats where they participate in carbon and nitrogen cycling. Although metatranscriptomes suggest thaumarchaea are active microbes in marine waters, we understand little about how thaumarchaeal gene expression patterns relate to substrate utilization and activity. Here, we report the global transcriptional response of the marine ammonia-oxidizing thaumarchaeon Candidatus Nitrosopelagicus brevis str. CN25 to ammonia limitation using RNA-Seq. We further describe the genome and transcriptome of Ca. N. brevis str. U25, a new strain capable of urea utilization. Ammonia limitation in CN25 resulted in reduced expression of transcripts coding for ammonia oxidation proteins, and increased expression of a gene coding an Hsp20-like chaperone. Despite significantly different transcript abundances across treatments, two ammonia monooxygenase subunits (amoAB), a nitrite reductase (nirK), and both ammonium transporter genes were always among the most abundant transcripts, regardless of growth state. Ca. N. brevis str. U25 cells expressed a urea transporter 139-fold more than the urease catalytic subunit ureC. Gene co-expression networks derived from culture transcriptomes and ten thaumarchaea-enriched metatranscriptomes revealed a high degree of correlated gene expression across disparate environmental conditions and identified a module of genes, including amoABC and nirK, that we hypothesize to represent the core ammonia oxidation machinery.\n\nOriginality-Significance StatementDiscovering gene function in fastidious or uncultivated lineages remains one of the biggest challenges in environmental microbiology. Here, we use an approach that combines controlled laboratory experiments with in situ transcript abundance data from the environment to identify genes that share similar transcription patterns in marine ammonia-oxidizing thaumarchaea. These findings demonstrate how transcriptomes from microbial cultures can be used together with complex environmental samples to identify suites of co-expressed genes that are otherwise enigmatic and provide new insights into the mechanism of ammonia oxidation. Our results add to the growing body of literature showing that relatively small changes in transcript abundance are linked to large changes in growth in organisms with reduced genomes, suggesting they have limited capacity for metabolic regulation or that they rely on mechanisms other than transcriptional regulation to deal with a fluctuating environment.

microbiology↗

No consistent evidence for microbiota in murine placental and fetal tissues

The existence of a placental microbiota and in utero colonization of the fetus has been the subject of recent debate. The objective of this study was to determine whether the placental and fetal tissues of mice harbor bacterial communities. Bacterial profiles of the placenta and fetal brain, lung, liver, and intestine were characterized through culture, qPCR, and 16S rRNA gene sequencing. These profiles were compared to those of the maternal mouth, lung, liver, uterus, cervix, vagina, and intestine, as well as to background technical controls. Positive bacterial cultures from placental and fetal tissues were rare; of the 165 total bacterial cultures of placental tissues from the 11 mice included in this study, only nine yielded at least a single colony, and five of those nine positive cultures came from a single mouse. Cultures of fetal intestinal tissues yielded just a single bacterial isolate: Staphylococcus hominis, a common skin bacterium. Bacterial loads of placental and fetal brain, lung, liver, and intestinal tissues were not higher than those of DNA contamination controls and did not yield substantive 16S rRNA gene sequencing libraries. From all placental or fetal tissues (N = 49), there was only a single bacterial isolate that came from a fetal brain sample having a bacterial load higher than that of contamination controls and that was identified in sequence-based surveys of at least one of its corresponding maternal samples. Therefore, using multiple modes of microbiologic inquiry, there was not consistent evidence of bacterial communities in the placental and fetal tissues of mice. IMPORTANCEThe prevailing paradigm in obstetrics has been the sterile womb hypothesis, which posits that fetuses are first colonized by microorganisms during the delivery process. However, some are now suggesting that fetuses are consistently colonized by microorganisms in utero by microbial communities that inhabit the placenta and intra-amniotic environment. Given the established causal role of microbial invasion of the amniotic cavity (i.e. intra-amniotic infection) in pregnancy complications, especially preterm birth, if the in utero colonization hypothesis were true, there are several aspects of current understanding that will need to be reconsidered including the magnitude of intra-amniotic microbial load required to cause disease and their potential influence on the ontogeny of the immune system. However, acceptance of the in utero colonization hypothesis is premature. Herein, we do not find consistent evidence for placental and fetal microbiota in mice using culture, qPCR, and DNA sequencing.

microbiology↗

The spread of chloramphenicol-resistant Neisseria meningitidis in Southeast Asia

Invasive disease caused by Neisseria meningitidis is a significant health concern globally, but our knowledge of the prevailing serogroups, antimicrobial susceptibility patterns, and genetics of N. meningitidis in Southeast Asia is limited. Chloramphenicol resistance in N. meningitidis has rarely been reported, but was first described in isolates from Vietnam in 1998. Using whole-genome sequencing of meningococcal isolates from 18 patients collected between 2007 and 2018 from diagnostic microbiology laboratories in Cambodia, Thailand and the Lao Peoples Democratic Republic (Laos), of which eight were non-susceptible to chloramphenicol, we report the spread of this chloramphenicol-resistant lineage of N. meningitidis across Southeast Asia. Strains resistant to penicillin, tetracycline, and ciprofloxacin were also observed, including a chloramphenicol-resistant strain from the previously-described lineage which has acquired penicillin and ciprofloxacin resistance, and most isolates were of serogroup B. This study suggests that chloramphenicol-resistant N. meningitidis is more widespread than previously thought.

microbiology↗

A simple, cost-effective, and robust method for rRNA depletion in RNA-sequencing studies

The profiling of gene expression by RNA-sequencing (RNA-seq) has enabled powerful studies of global transcriptional patterns in all organisms, including bacteria. Because the vast majority of RNA in bacteria is ribosomal RNA (rRNA), it is standard practice to deplete the rRNA from a total RNA sample such that the reads in an RNA-seq experiment derive predominantly from mRNA. One of the most commonly used commercial kits for rRNA depletion, the Ribo-Zero kit from Illumina, was recently discontinued. Here, we report the development a simple, cost-effective, and robust method for depleting rRNA that can be easily implemented by any lab or facility. We first developed an algorithm for designing biotinylated oligonucleotides that will hybridize tightly and specifically to the 23S, 16S, and 5S rRNAs from any species of interest. Precipitation of these oligonucleotides bound to rRNA by magnetic streptavidin beads then depletes rRNA from a complex, total RNA sample such that ~75-80% of reads in a typical RNA-seq experiment derive from mRNA. Importantly, we demonstrate a high correlation of RNA abundance or fold-change measurements in RNA-seq experiments between our method and the previously available Ribo-Zero kit. Complete details on the methodology are provided, including open-source software for designing oligonucleotides optimized for any bacterial species or metagenomic sample of interest. ImportanceThe ability to examine global patterns of gene expression in microbes through RNA-sequencing has fundamentally transformed microbiology. However, RNA-seq depends critically on the removal of ribosomal RNA from total RNA samples. Otherwise, rRNA would comprise upwards of 90% of the reads in a typical RNA-seq experiment, limiting the reads coming from messenger RNA or requiring high total read depth. A commonly used, kit for rRNA subtraction from Illumina was recently discontinued. Here, we report the development of a do-it-yourself kit for rapid, cost-effective, and robust depletion of rRNA from total RNA. We present an algorithm for designing biotinylated oligonucleotides that will hybridize to the rRNAs from a target set of species. We then demonstrate that the designed oligos enable sufficient rRNA depletion to produce RNA-seq data with 75-80% of reads comming from mRNA. The methodology presented should enable RNA-seq studies on any species or metagenomic sample of interest.

microbiology↗

Evolution, geographic spreading, and demographic distribution of Enterovirus D68

BackgroundWorldwide outbreaks of enterovirus D68 (EV-D68) in 2014 and 2016 have caused serious respiratory and neurological disease. MethodsWe collected samples from several European countries during the 2018 out-break and determined 53 near full-length genome ( whole genome) sequences. These sequences were combined with 718 whole genome and 1,987 VP1-gene publicly available sequences. FindingsIn 2018, circulating strains clustered into multiple subgroups in the B3 and A2 subclades, with different phylogenetic origins. Clusters in subclade B3 emerged from strains circulating primarily in the US and Europe in 2016, though some had deeper roots linking to Asian strains, while clusters in A2 traced back to strains detected in East Asia in 2015-2016. In 2018, all sequences from the USA formed a distinct subgroup, containing only three non-US samples. Alongside the varied origins of seasonal strains, we found that diversification of these variants begins up to 18 months prior to the first diagnostic detection during a EV-D68 season. EV-D68 displays strong signs of continuous antigenic evolution and all 2018 A2 strains had novel patterns in the putative neutralizing epitopes in the BC- and DE-loops. The pattern in the BC-loop of the USA B3 subgroup had not been detected on that continent before. Patients with EV-D68 in subclade A2 were significantly older than patients with a B3 subclade virus. In contrast to other subclades, the age distribution of A2 is distinctly bimodal and was found primarily among children and in the elderly. InterpretationWe hypothesize that EV-D68s rapid evolution of surface proteins, extensive diversity, and high rate of geographic mixing could be explained by substantial reinfection of adults. FundingUniversity of Basel and Swedish Foundation for Research and Development in Medical Microbiology

microbiology↗

Computational front end to diverse therapeutic phage cocktails

New therapies are necessary to combat increasingly antibiotic-resistant bacterial pathogens. We have developed a technology platform of computational, molecular biology, and microbiology tools which together enable on-demand production of phages that target virtually any given bacterial isolate. Two complementary computational tools that identify and precisely map prophages and other integrative genetic elements (IGEs) in bacterial genomes are used to identify prophage-laden bacteria that are close relatives of the target strain. Phage genomes are engineered to disable lysogeny, through use of long amplicon PCR and Gibson assembly. Finally, the engineered phage genomes are introduced into host bacteria for phage production. As an initial demonstration, we used this approach to produce a phage cocktail against the opportunistic pathogen Pseudomonas aeruginosa PAO1. Two prophage-laden P. aeruginosa strains closely related to PAO1 were identified, ATCC 39324 and ATCC 27853. Deep sequencing revealed that mitomycin C treatment of these strains induced seven phages that grow on P. aeruginosa PAO1. The most diverse five of these were engineered for non-lysogeny by deleting the integrase gene (int), which is readily identifiable and typically conveniently located at one end of the prophage. The {Delta}int phages, individually and in cocktails, showed killing of P. aeruginosa PAO1 in vitro as well as in a waxworm (Galleria mellonella) model of infection. SIGNIFICANCE STATEMENTThe antibiotic-resistance crisis in medicine and agriculture has led to renewed interest in phage therapy as an alternative means of treating infection. However, conventional methods for isolating pathogen-specific phage are slow, labor-intensive, and frequently unsuccessful. We have demonstrated that prophages carried by near-neighbor bacteria can serve as starting material for production of engineered phages that kill the target pathogen. Our approach and technology platform offer new opportunity for rapid development of phage therapies against most, if not all, bacterial pathogens, a foundational advance for use of phage in treating infectious disease.

microbiology↗

Freshwater monitoring by nanopore sequencing

While traditional microbiological freshwater tests focus on the detection of specific bacterial indicator species, including pathogens, direct tracing of all aquatic DNA through metagenomics poses a profound alternative. Yet, in situ metagenomic water surveys face substantial challenges in cost and logistics. Here we present a simple, fast, cost-effective and remotely accessible freshwater diagnostics workflow centred around the portable nanopore sequencing technology. Using defined compositions and spatiotemporal microbiota from surface water of an example river in Cambridge (UK), we provide optimised experimental and bioinformatics guidelines, including a benchmark with twelve taxonomic classification tools for nanopore sequences. We find that nanopore metagenomics can depict the hydrological core microbiome and fine temporal gradients in line with complementary physicochemical measurements. In a public health context, these data feature relevant sewage signals and pathogen maps at species level resolution. We anticipate that this framework will gather momentum for new environmental monitoring initiatives using portable devices.

microbiology↗

Semiautomated Detection Of Pseudomonas aeruginosa From Diverse Water Samples Using Highly Selective Z-Broth And Redoxpotential Monitor

Pseudomonas aeruginosa is a facultative bacterial pathogen with increasing public health risk potential. Contaminated water in hospital environments is a growing cause of multidrug-resistent P. aeruginosa nosocomial infections that are life-threatening and are costly to treat. P. aeruginosa is common in natural water bodies, but it is not unusual in drinking water and has been detected in bottled water, also. Suppliers in Europe must eliminate live forms of the bacterium in drinking water to meet human consumption requirements. Laboratory testing for the presence of viable P. aeruginosa is mostly done manually using culture media but conductance/impedimetry measurements for detection are also available. In order to improve expedience and cost efficiency as well as to automate the detection and the data registration, we applied the highly selective Z-broth culture media and redox potential monitoring to detect P. aeruginosa from water. The Z-broth is based on only a few, stable chemicals that provide consistency of quality and long shelf life. It limits growth to P. aeruginosa and, thus, eliminates the need for subsequent microbiological identification steps of the European Standard procedure defined in ISO 16 266:2006 (2018). A redox potential monitor was used in this work, that simultaneously recorded 64 sample curves and automatically marked positive samples reliably within 24 hours after sample initialization. In comparison, the standard method requires additional tests that prolongs identification to some days. Practical applicability and reliability of the method in this paper was demonstrated by testing a total of 739 water samples of which 222 were tap water, 342 well water and 145 had been taken from swimming pools. It is considered this method is well suited to process large numbers of samples for purposes of detecting P. aeruginosa contamination with relative ease, little cost in shortened time. Using Z-broth in combination with redox potential monitoring can be recommended for central laboratories for routine testing of drinking water for live P. aeruginosa presence. As well, using this method for testing of fluids and surfaces for P. aeruginosa contamination would be advantageous in such environments as the hospital industry, swimming pools and spas, where cleaning routines and P. aeruginosa transmission prevention protocols could be made much more resultful and cost-effective due to ease and speed of processing both spot check and water samples. HighlightsO_LIA method was applied for detection of viable Pseudomonas aeruginosa in 739 water samples. C_LIO_LIRedox potential monitoring of Z-broth cultures exclusively registered growth of P. aeruginosa. C_LIO_LIThe method is highly selective, reliable and partly automated, with lower labor costs. C_LIO_LIThe method is suited for testing of water and hospital environments for P. aeruginosa. C_LI

microbiology↗

Clinical and genomic epidemiology of carbapenem-non-susceptible Citrobacter spp. at a tertiary healthcare center over two decades

Carbapenem-non-susceptible Citrobacter spp. (CNSC) are increasingly recognized as healthcare-associated pathogens. Information regarding their clinical epidemiology, genetic diversity, and mechanisms of carbapenem resistance is lacking. We examined microbiology records of adult patients at the University of Pittsburgh Medical Center (UMPC) Presbyterian Hospital (PUH) from 2000-2018 for CNSC, as defined by ertapenem non-susceptibility. Over this timeframe, the proportion of CNSC increased from 4% to 10% (P=0.03), as did carbapenem daily defined doses/1000 patient days (6.52 to 34.5, R2=0.831, P<0.001), which correlated with the observed increase in CNSC (lag=0 years, R2=0.660). Twenty CNSC isolates from 19 patients at PUH and other UPMC hospitals were available for further analysis, including whole-genome short-read sequencing and additional antimicrobial susceptibility testing. Of the 19 patients, nearly all acquired CNSC in the healthcare setting and over half had polymicrobial cultures containing at least one other organism. Among the 20 CNSC isolates, C. freundii was the predominant species identified (60%). CNSC genomes were compared with genomes of carbapenem-susceptible Citrobacter spp. from UPMC, and with other publicly available CNSC genomes. Isolates encoding carbapenemases (blaKPC-2, blaKPC-3, and blaNDM-1) were also long-read sequenced, and their carbapenemase-encoding plasmid sequences were compared with one another and with publicly available sequences. Phylogenetic analysis of 102 UPMC Citrobacter spp. genomes showed that CNSC from our setting did not cluster together. Similarly, a global phylogeny of 64 CNSC genomes showed a diverse population structure. Our findings suggest that both local and global CNSC populations are genetically diverse, and that CNSC harbor carbapenemase-encoding plasmids found in other Enterobacterales.

microbiology↗

Fermented food metagenomics reveals substrate-associated differences in taxonomy, health-associated- and antibiotic resistance-determinants

Fermented foods have been the focus of ever greater interest as a consequence of purported health benefits. Indeed, it has been suggested that the consumption of these foods that help to address the negative consequences of industrialization of the human gut microbiota in Western society. However, as the mechanisms via which the microbes in fermented foods improve health are not understood, it is necessary to develop an understanding of the composition and functionality of the fermented food microbiota to better harness desirable traits. Here we considerably expand the understanding of fermented food microbiomes by employing shotgun metagenomic sequencing to provide a comprehensive insight into the microbial composition, diversity and functional potential (including antimicrobial resistance, carbohydrate-degrading and health-associated gene content) of a diverse range of 58 fermented foods from artisanal producers from around the Globe. Food type, i.e., dairy-, sugar- or brine-type fermented foods, was to be the primary driver of microbial composition, with dairy foods found to have the lowest microbial diversity. From the combined dataset, 127 high quality metagenome-assembled genomes (MAGs), including 10 MAGs representing putatively novel species of Acetobacter, Acidisphaera, Gluconobacter, Lactobacillus, Leuconostoc and Rouxiella, were generated. Potential health promoting attributes were more common in fermented foods than non-fermented equivalents, with waterkefirs, sauerkrauts and kvasses containing the greatest numbers of potentially health-associated gene clusters (PHAGCs). Ultimately, this study provides the most comprehensive insight into the microbiomes of fermented foods to date, and yields novel information regarding their relative health-promoting potential. ImportanceFermented foods are regaining popularity in Western society due in part to an appreciation of the potential for fermented food microbiota to positively impact on health. Many previous studies have studied fermented microbiota using classical culture-based microbiological methods, older molecular techniques or, where deeper analyses have been performed, have involved a relatively small number of one specific food type. Here, we have used a state-of-the-art shotgun metagenomic approach to investigate 58 different fermented foods of different type and origin. Through this analysis, we were able to identify the differences in the microbiota across these foods, the factors that drove their microbial composition, and the relative potential functional benefits of these microbes. The information provided here will provide significant opportunities for the further optimisation of fermented food production and the harnessing of their health promoting potential.

microbiology↗

Internal Control for process monitoring of clinical metagenomic next-generation sequencing of urine samples

BackgroundProcess control for clinical metagenomic next-generation sequencing (mNGS) is not yet widely applied, while technical sources of bias are plentiful. We present an easy-to-use internal control (IC) method focussing on technical process control applied to metagenomics in clinical diagnostics. MethodsDNA of nine urine samples was sequenced in the absence and presence of Thermus thermophilus DNA as IC in incremental concentrations (0.5-2-5%). Between aliquots of each sample, we compared the IC relative abundance (RA), and after in silico subtraction of IC reads, the microbiota and the RA of pathogens. The optimal IC spike-in concentration was defined as the lowest concentration still detectable in all samples. ResultsThe RA of IC correlated linearly with the spiked IC concentration (r2=0.99). IC added in a concentration of 0.5% of total DNA concentration was detectable in all samples, regardless of human/bacterial composition and after in silico removal gave the smallest difference in RA of pathogens compared to the unspiked aliquot of the sample. The microbiota of sample aliquots sequenced in the presence and absence of IC was highly similar after in silico removal of IC reads (median BC-dissimilarity per sample of 0.059), provided samples had sufficient bacterial read counts. ConclusionT. thermophilus DNA at a percentage of 0.5% of the total DNA concentration can be applied for the process control of mNGS of urine samples. We demonstrated negligible alterations in sample microbial composition after in silico subtraction of IC sequence reads. This approach contributes toward implementation of mNGS in the clinical microbiology laboratory.

microbiology↗

Lactobacilli and other gastrointestinal microbiota of Peromyscus leucopus, reservoir host for agents of Lyme disease and other zoonoses in North America

The cricetine rodent Peromyscus leucopus is an important reservoir for several human zoonoses, including Lyme disease, in North America. Akin to hamsters, the white-footed deermouse has been unevenly characterized in comparison to the murid Mus musculus. To further understanding of P. leucopus total genomic content, we investigated gut microbiomes of an outbred colony of P. leucopus, inbred M. musculus, and a natural population of P. leucopus. Metagenome and whole genome sequencing were combined with microbiology and microscopy approaches. A focus was the genus Lactobacillus, four diverse species of which were isolated from forestomach and feces of colony P. leucopus. Three of the species--L. animalis, L. reuteri, and provisionally-named species "L. peromysci"--were identified in fecal metagenomes of wild P. leucopus but not discernibly in samples from M. musculus. L. johnsonii, the fourth species, was common in M. musculus but absent or sparse in wild P. leucopus. Also identified in both colony and natural populations were a Helicobacter sp. in feces but not stomach, and a Tritrichomonas sp. protozoan in cecum or feces. The gut metagenomes of colony P. leucopus were similar to those of colony M. musculus at the family or higher level and for major subsystems. But there were multiple differences between species and sexes within each species in their gut metagenomes at orthologous gene level. These findings provide a foundation for hypothesis-testing of functions of individual microbial species and for interventions, such as bait vaccines based on an autochthonous bacterium and targeting P. leucopus for transmission-blocking.

microbiology↗

Situation of antibiotic resistance in Bangladesh and its association with resistance genes for horizontal transfer

The study investigated the spectrum of antibiotic resistance and the associated genes for aminoglycoside, macrolide and ESBL class of antibiotics using clinical isolates. A total of 430 preserved bacterial strains (Acinetobacter baumannii, n= 20; Pseudomonas aeruginosa, n= 26; Klebsiella pneumoniae, n= 42; E.coli, n= 85; Staphylococcus aureus, n= 84; Salmonella Typhi, n= 82; Enterococcus spp., n= 27; Streptococcus pneumoniae, n= 36 and CNS, n= 28) were examined. The strains were isolated from patients admitted to various tertiary hospitals of Dhaka city between 2015 and 2019 with either acute respiratory infections, wound infections, typhoid fever or diarrhea. The isolates were reconfirmed by appropriate microbiological and biochemical methods. Antimicrobial susceptibility tests were done using Kirby-Bauer disk diffusion approach. PCR amplification using resistance gene-specific primers for aminoglycoside, macrolide and ESBL class of antibiotics was done and the amplified products were confirmed by Sanger sequencing. Of the total isolates, 53% came out as MDR with 96.6% of E. coli and 90% of Staphylococcus aureus. There was a year-wise gradual increase of MDR isolates from 2015-2018 and by 2019 the increase in MDR isolates became almost 2-fold compared to 2015. Among the five ESBL genes investigated, CTXM-1 came out as the most prevalent (63%) followed by NDM-1 (22%) and E. coli isolates were the predominant reservoir of these genes. ErmB (55%) was the most frequently detected macrolide resistance gene, whereas aac(6)-Ib (35.44%) was the most prevalent aminoglycoside resistance gene and these genes were most prevalent in E. coli and P. aeruginosa isolates, respectively. CTXM-1 and ErmB (16.66%) were the most frequent partners of coexistence followed by CTXM-1 and aac(3)-II.

microbiology↗

A novel culture-independent method to search unknown dominant bacterial groups and its application to microbial analysis of membrane bioreactors

As we could not get numerical information for unknown unculturable microorganisms through conventional culture-independent analysis methods such as next-generation sequencing, or real time PCR, we developed an original culture-independent method, and searched the numerically dominant bacteria in three industrial membrane bioreactors for livestock farms. Although Actinobacteria was the numerically dominant phylum (9.3x105MPN/mL) on 6/August/2014 in the MBR of A farm, when a bacteria with the same genotype to Arthrobacter sp. (AF197047; 4.3x105MPN/mL), and those similar to Burkholderia sp. (AB299593; 4.3x105MPN/mL) were the numerically dominant, after about 13 months (24/October/2015) a number of the Arthrobacter genotype increased to 930x105 MPN (230 times) and become dominant, and those similar to the Microbacterium sp. (AM403628) increased to 92x105MPN, while that of the Burkholderia genotype disappeared. In the other MBR of B farm, bacteria having a similar genotype to Enshifer sp. (AB195268, CP000738), or Shinorhizobium sp. (AF227755, AB195268), or Mesorhizobium sp. (BA000012, Mso.tians29), or Agrobacterium vitis (D12795) was dominant on 18/August/2015 (24x105 MPN) and 30/August/2015 (15.5x105 MPN). In the other MBR of C farm (9/October/2015), bacteria having a similar genotype to uncultured Betaproteobacteria (AY921864) was dominant (430x105MPN), followed by uncultured bacterium (74x105MPN ; AM268745), and Mycobacteriaceae (AB298730), or Propionibacteriaceae (AB298731) (7.4 x105MPN). There was no common bacterial groups among tested three MBRs. Present results indicated that different kinds of homogeneous bacteria were numerically dominant in the three tested membrane bioreactors, where their numbers and ratios were varied with the duration of the driving periods. IMPORTANCEAlthough the conventional molecular-based culture independent methods have been used in place of traditional culture-based methods for microbiological research and expanded information of unculturable low-abundance bacterial groups, not all of them were always highly active in the environment and it was difficult to search for microorganisms among them which were highly active and play an important role in the environment. As numerical data of each bacteria might become an important index to know their activity in environment, we had created a novel culture-independent enumeration method for numerically dominant unidentified bacteria. Through the method, we found that different kinds of homogeneous bacteria were numerically dominant in the three tested membrane bioreactors, whose numbers were high enough to affect the performance of the reactor as a single strain. The method was found useful to specify and trace unknown numerically dominant bacterial groups in a culture independent manner.

microbiology↗

Towards a probiotic approach for building plumbing - Nutrient-based selection during biofilm formation on flexible polymeric materials

Upon entering building plumbing systems, drinking water bacteria experience considerable changes in environmental conditions. For example, some flexible polymeric materials leach organic carbon, which increases bacterial growth and reduces diversity. Here we show that the carbon supply by a flexible polymeric material drives nutrient-based selection within establishing biofilm communities. We found that migrating carbon from EPDM coupons resulted in considerable growth for different drinking water communities (0.2 - 3.3 x 108 cells/cm2). All established biofilm communities showed low diversity (29 - 50 taxa/biofilm), with communities dominated by even viewer taxa (e.g., 5 taxa accounting for 94 {+/-} 5 % relative abundance, n = 15). Interestingly, biofilm communities shared some taxa (e.g., Methylobacterium spp.) and families (e.g., Comamonadaceae), despite the difference in starting communities. Moreover, selected biofilm communities performed better than their original communities regarding maximum attachment (91 {+/-} 5 vs. 69 {+/-} 23 %, n = 15) and attachment rate (5.0 {+/-} 1.7 x 104 vs. 2.4 {+/-} 1.2 x 104 cells/cm2/h, n = 15) when exposed to new EPDM coupons. Our results demonstrate nutrient-based selection during initial biofilm formation on a flexible polymeric material and a resulting benefit to selected communities. We anticipate our findings to help connecting observational microbiological findings with their underlying ecological principles. Regarding initial biofilm formation, attachment dynamics, growth, and selection thereof are important for the management of microbial communities. In fact, managing initial colonization by supplying specific carbon and/or introducing consciously chosen/designed communities potentially paves the way for a probiotic approach for building plumbing materials.

microbiology↗

Metagenomic Next-Generation Sequencing of Rectal Swabs for the Surveillance of Antimicrobial Resistant Organisms on the Illumina Miseq and Oxford MinION Platforms

PurposeAntimicrobial resistance (AMR) is a public health threat where efficient surveillance is needed to prevent outbreaks. Existing methods for detection of gastrointestinal colonization of multidrug-resistant organisms (MDRO) are limited to specific organisms or resistance mechanisms. Metagenomic next-generation sequencing (mNGS) is a more rapid and agnostic diagnostic approach for microbiome and resistome investigations. We determined if mNGS can detect MDRO from rectal swabs in concordance with standard microbiology results. MethodsWe performed and compared mNGS performance on short-read Illumina MiSeq (N=10) and long-read Nanopore MinION (N=4) platforms directly from peri-rectal swabs to detect vancomycin-resistant enterococci (VRE) and carbapenem-resistant Gram-negative organisms (CRO). ResultsWe detected E. faecium (N=8) and E. faecalis (N=2) with associated van genes (9/10) in concordance with VRE culture-based results. We studied the microbiome and identified CRO organisms, P. aeruginosa (N=1), E. cloacae (N=1), and KPC-producing K. pneumoniae (N=1). Nanopore real-time detection detected the blaKPC gene in 2.5 minutes and provided genetic context (blaKPC harbored on pKPC_Kp46 IncF plasmid). Illumina sequencing provided accurate allelic variant determination (i.e., blaKPC-2) and strain typing of the K. pneumoniae (ST-15). Conclusions: We demonstrated an agnostic approach for surveillance of MDRO, examining advantages of both short and long-read mNGS methods for AMR detection.

microbiology↗

Expanding the diversity of bacterioplankton isolates and modeling isolation efficacy with large scale dilution-to-extinction cultivation

Cultivated bacterioplankton representatives from diverse lineages and locations are essential for microbiology, but the large majority of taxa either remain uncultivated or lack isolates from diverse geographic locales. We paired large scale dilution-to-extinction (DTE) cultivation with microbial community analysis and modeling to expand the phylogenetic and geographic diversity of cultivated bacterioplankton and to evaluate DTE cultivation success. Here, we report results from 17 DTE experiments totaling 7,820 individual incubations over three years, yielding 328 repeatably transferable isolates. Comparison of isolates to microbial community data of source waters indicated that we successfully isolated 5% of the observed bacterioplankton community throughout the study. 43% and 26% of our isolates matched operational taxonomic units and amplicon single nucleotide variants, respectively, within the top 50 most abundant taxa. Isolates included those from previously uncultivated clades such as SAR11 LD12 and Actinobacteria acIV, as well as geographically novel members from other ecologically important groups like SAR11 subclade IIIa, SAR116, and others; providing the first isolates in eight putatively new genera and seven putatively new species. Using a newly developed DTE cultivation model, we evaluated taxon viability by comparing relative abundance with cultivation success. The model i) revealed the minimum attempts required for successful isolation of taxa amenable to growth on our media, and ii) identified possible subpopulation viability variation in abundant taxa such as SAR11 that likely impacts cultivation success. By incorporating viability in experimental design, we can now statistically constrain the effort necessary for successful cultivation of specific taxa on a defined medium. ImportanceEven before the coining of the term "great plate count anomaly" in the 1980s, scientists had noted the discrepancy between the number of microorganisms observed under the microscope and the number of colonies that grew on traditional agar media. New cultivation approaches have reduced this disparity, resulting in the isolation of some of the "most wanted" bacterial lineages. Nevertheless, the vast majority of microorganisms remain uncultured, hampering progress towards answering fundamental biological questions about many important microorganisms. Furthermore, few studies have evaluated the underlying factors influencing cultivation success, limiting our ability to improve cultivation efficacy. Our work details the use of dilution-to-extinction (DTE) cultivation to expand the phylogenetic and geographic diversity of available axenic cultures. We also provide a new model of the DTE approach that uses cultivation results and natural abundance information to predict taxon-specific viability and iteratively constrain DTE experimental design to improve cultivation success.

microbiology↗