Popular molecular markers in bacteria

Ultra-Sensitive Biosensors for Medical Applications Based on Nanomechanics: From Detection of Synthetic Biomolecules to Analysis of Sepsis in Pediatric Patients

Recent advancements in nanomechanical microcantilever biosensors open new possibilities for clinical applications, permitting precise analysis of molecular interactions. The technology enables tracking gene expression, molecular conformational changes, antibody binding and antibiotic resistance. In particular, hybridization of DNA or RNA extracted from biopsies and whole blood from patients has led to significant advancements in diagnostics of critical medical conditions, e.g., cancer, bacteraemia and sepsis, utilizing rapid, sensitive, and label-free detection. Direct diagnosis from patient samples is a decisive advantage over competitive methods circumventing elaborate and time-consuming purification, amplification and cultivation procedures prior to analysis. Here, recent developments are presented from simple DNA hybridization of synthesized oligonucleotides to RNA material obtained from patients' blood samples, highlighting technological advancements in diagnostic applications, such as detection of pathogens and disease biomarkers. We envisage our method to be a significant input to rapid, early and sensitive diagnosis directly from patients' blood without requirements for amplification or cultivation. This would represent a paradigm shift in diagnostics, as no competing method currently exists.

A Novel and Advanced Diagnostic Approach toward Paracidovorax citrulli Causing Bacterial Fruit Blotch in Watermelon by Direct SYBR Green Real-Time PCR Assay

Bacterial fruit blotch (BFB) caused by Paracidovorax citrulli is a devastating disease in cucurbit hosts such as watermelon. P. citrulli is a seed-borne pathogen, and contaminated seeds are the primary inoculum. Because it is difficult to control BFB after the emergence of the disease, it is essential to detect the pathogen and remove infected plant materials, including seeds, in the early stages. In this study, we developed a direct SYBR Green real-time polymerase chain reaction (PCR) method using a new species-specific marker for detecting P. citrulli with high specificity and sensitivity. The genome information of P. citrulli and related species was collected and compared to retrieve the P. citrulli-specific gene. The primer set RS01560-164 was designed based on the selected gene and tested for specificity and sensitivity using cloned DNA, genomic DNA, cell suspension, and suspensions obtained from infected watermelon cotyledons. Our primer set detected only P. citrulli from the closely related species with a detection limit of cloned DNA at 1.46 × 103 copies/µl, gDNA at 500 fg/µl, and cell suspension at 1.4 × 104 cfu/ml by real-time PCR. Our method also detected P. citrulli from diseased plants without the need for a DNA extraction phase. Therefore, the primer set and real-time PCR methods newly developed in this study could be applied for the specific detection of P. citrulli in plants or seeds with high sensitivity and robustness, providing the potential to manage BFB in cucurbits.

Ecological distribution and function of comammox Nitrospira in the environment

Complete ammonia oxidizers (Comammox) are of great significance for studying nitrification and expanding the understanding of the nitrogen cycle. Moreover, Comammox bacteria are also crucial in natural and engineered environments due to their role in wastewater treatment and maintaining the flux of greenhouse gases to the atmosphere. However, only few studies are there regarding the Comammox bacteria and their role in ammonia and nitrite oxidation in the environment. This review mainly focuses on summarizing the genomes of Nitrospira in the NCBI database. Ecological distribution of Nitrospira was also reviewed and the influence of environmental parameters on genus Nitrospira in different environments has been summarized. Furthermore, the role of Nitrospira in carbon cycle, nitrogen cycle, and sulfur cycle were discussed, especially the comammox Nitrospira. In addition, the overviews of current research and development regarding comammox Nitrospira, were summarized along with the scope of future research. KEY POINTS: • Most of Comammox Nitrospira are widely distributed in both aquatic and terrestrial ecosystems, but it has been studied less frequently in the extreme environments. • Comammox Nitrospira can be involved in different nitrogen transformation process, but rarely involved in nitrogen fixation. • The stable isotope and transcriptome techniques are important methods to study the metabolic function of comammox Nitrospira.

Rapid Bacteria Detection from Patients' Blood Bypassing Classical Bacterial Culturing

Sepsis is a life-threatening condition mostly caused by a bacterial infection resulting in inflammatory reaction and organ dysfunction if not treated effectively. Rapid identification of the causing bacterial pathogen already in the early stage of bacteremia is therefore vital. Current technologies still rely on time-consuming procedures including bacterial culturing up to 72 h. Our approach is based on ultra-rapid and highly sensitive nanomechanical sensor arrays. In measurements we observe two clearly distinguishable distributions consisting of samples with bacteria and without bacteria respectively. Compressive surface stress indicates the presence of bacteria. For this proof-of-concept, we extracted total RNA from EDTA whole blood samples from patients with blood-culture-confirmed bacteremia, which is the reference standard in diagnostics. We determined the presence or absence of bacterial RNA in the sample through 16S-rRNA hybridization and species-specific probes using nanomechanical sensor arrays. Via both probes, we identified two clinically highly-relevant bacterial species i.e., Escherichia coli and Staphylococcus aureus down to an equivalent of 20 CFU per milliliter EDTA whole blood. The dynamic range of three orders of magnitude covers most clinical cases. We correctly identified all patient samples regarding the presence or absence of bacteria. We envision our technology as an important contribution to early and sensitive sepsis diagnosis directly from blood without requirement for cultivation. This would be a game changer in diagnostics, as no commercial PCR or POCT device currently exists who can do this.

Evaluation of PCR primers for detecting the distribution of nitrifiers in mangrove sediments

Ammonia-oxidizing archaea and ammonia-oxidizing bacteria (AOA and AOB), complete ammonia oxidizers (Comammox), and nitrite-oxidizing bacteria (NOB) play a crucial role in the nitrification process during the nitrogen cycle. However, their occurrence and diversity in mangrove ecosystems are still not fully understood. Here, a total of 11 pairs of PCR primers were evaluated to study the distribution and abundances of these nitrifiers in rhizosphere and non-rhizosphere sediments of a mangrove ecosystem. The amplification efficiency of these 11 pairs of primers was first evaluated and their performances were found to vary considerably. The CamoA-19F/CamoA-616R primer pair was suitable for the amplification of AOA in mangrove sediments, especially on the surface of rhizosphere sediments. Primer pair amoA1F/amoA2R was better for the characterization of novel AOB in the bacterial community of non-rhizosphere sediments of mangroves. In contrast, primer nxrB169F/nxrB638R showed a low abundance of NOB in mangrove sediments (except for R1). Comammox bacteria were abundant and diverse in mangrove sediments, as indicated by both the amoB gene for Comammox clade A and the amoA gene for Comammox Nitrospira clade B. However, the amoA gene for Comammox Nitrospira clade A was not successful in detecting them in the mangrove sediments. Furthermore, 568 operational taxonomic units (OTUs) were obtained by generating a clone library and a high abundance of OTUs was correlated with ammonium, pH, NO₂^-, and NO₃^-. Comammox and Comammox Nitrospira were identified by phylogenetic tree analysis, indicating that mangrove sediments harbor newly discovered nitrifiers. Additionally, many AOA and NOB were mainly distributed in the surface layer of the rhizosphere, whereas AOB and Comammox Nitrospira were in the subsurface of non-rhizosphere, as determined by qPCR analysis. Collectively, our findings highlight the limitations of some primers for the identification of specific nitrifying bacteria. Therefore, primers must be carefully selected to gain accurate insights into the ecological distribution of nitrifiers in mangroves. KEY POINTS: • Several sets of PCR primers perform well for the detection of nitrifiers in mangroves. • Mangroves are an important source of newly discovered nitrifiers. • Ammonium, pH, NO₂^-, and NO₃^- are important shapers of nitrifier communities in mangroves.

Implementation of Genetic Engineering and Novel Omics Approaches to Enhance Bioremediation: A Focused Review

Bioremediation itself is considered to be a cost effective soil clean-up technique and preferred over invasive physical and chemical treatments. Besides increasing efficiency, application of genetic engineering has led to reduction in the time duration required to achieve remediation, overcoming the so called 'Achilles heel' of Bioremediation. Omics technologies, namely genomics, transcriptomics, proteomics, and metabolomics, are being employed extensively to gain insights at genetic level. A wise synchronised application of these approaches can help scrutinize complex metabolic pathways, and molecular changes in response to heavy metal stress, and also its fate i.e., uptake, transport, sequestration and detoxification. In the present review, an account of some latest achievements made in the field is presented.

Determination of drug-resistant bacteria in palmar surface and touchscreen cell phones from bystanders in an urban community

The dynamic microbiota of the human palmar surface (PS) is related to the various hygienic habits of humans and can be transmitted or exchanged upon contact with objects of daily use, such as the indispensable touchscreen cell phone (TCP); this interaction could allow the development of drug-resistant bacteria. The objective was to determine the drug-resistant bacterial contamination between PSs and TCPs in an urban community. Among the total bacterial colonies isolated and molecular and phylogenetically characterized based on the V4-V6 regions of the 16S rRNA gene from PSs and TCPs, the genera present in both types of samples were Staphylococcus (53.3 and 43.5 %, respectively), Bacillus (37.8, 37 %), Atlantibacter (2.2, 10.8 %) and Microbacterium (2.2, 4.3 %). The genera present in only one type of sample were Rothia, Paenibacillus, Escherichia and Micrococcus (2.2 % each). Resistance to penicillins (35.6-93.5 %) and nonsusceptibility to cephalosporins (8.9-37 %) and nitrofurantoin (13.3 and 15.2 %) were observed. The percentage of multidrug antibiotic resistance was 15.4 %. The prevalence of drug-resistant and multidrug-resistant bacteria in PSs and TCPs in the community could give rise to human health problems, and hygiene measures are recommended.

New Insight regarding Legionella Non-Pneumophila Species Identification: Comparison between the Traditional mip Gene Classification Scheme and a Newly Proposed Scheme Targeting the rpoB Gene

The identification of Legionella non-pneumophila species (non-Lp) in clinical and environmental samples is based on the mip gene, although several studies suggest its limitations and the need to expand the classification scheme to include other genes. In this study, the development of a new classification scheme targeting the rpoB gene is proposed to obtain a more reliable identification of 135 Legionella environmental isolates. All isolates were sequenced for the mip and rpoB genes, and the results were compared to study the discriminatory power of the proposed rpoB scheme. Complete concordance between the mip and rpoB results based on genomic percent identity was found for 121/135 (89.6%) isolates; in contrast, discordance was found for 14/135 (10.4%) isolates. Additionally, due to the lack of reference values for the rpoB gene, inter- and intraspecies variation intervals were calculated based on a pairwise identity matrix that was built using the entire rpoB gene (∼4,107 bp) and a partial region (329 bp) to better evaluate the genomic identity obtained. The interspecies variation interval found here (4.9% to 26.7%) was then proposed as a useful sequence-based classification scheme for the identification of unknown non-Lp isolates. The results suggest that using both the mip and rpoB genes makes it possible to correctly discriminate between several species, allowing possible new species to be identified, as confirmed by preliminary whole-genome sequencing analyses performed on our isolates. Therefore, starting from a valid and reliable identification approach, the simultaneous use of mip and rpoB associated with other genes, as it occurs with the sequence-based typing (SBT) scheme developed for Legionella pneumophila, could support the development of multilocus sequence typing to improve the knowledge and discovery of Legionella species subtypes. IMPORTANCELegionella spp. are a widely spread bacteria that cause a fatal form of pneumonia. While traditional laboratory techniques have provided valuable systems for Legionella pneumophila identification, the amplification of the mip gene has been recognized as the only useful tool for Legionella non-pneumophila species identification both in clinical and environmental samples. Several studies focused on the mip gene classification scheme showed its limitations and the need to improve the classification scheme, including other genes. Our study provides significant advantages on Legionella identification, providing a reproducible new rpoB gene classification scheme that seems to be more accurate than mip gene sequencing, bringing out greater genetic variation on Legionella species. In addition, the combined use of both the mip and rpoB genes allowed us to identify presumed new Legionella species, improving epidemiological investigations and acquiring new understanding on Legionella fields.

Can We Estimate Functionality of Soil Microbial Communities from Structure-Derived Predictions? A Reality Test in Agricultural Soils

Computational approaches that link bacterial 16S rRNA gene amplicon data to functional genes based on prokaryotic reference genomes have emerged. This study aims to validate or refute the applicability of the functional gene prediction tools for assessment and comparison of community functionality among experimental treatments, inducing either fast or slow responses in rhizosphere microbial community composition and function. Rhizosphere samples of wheat and barley were collected in two consecutive years at active and mature growth phases from organic and conventional farming plots with ambient or future-climate treatments of the Global Change Experimental Facility. Bacterial community composition was determined by 16S rRNA gene amplicon sequencing, and the activities of five extracellular enzymes involved in carbon (β-glucosidases, cellobiohydrolase, and xylosidase), nitrogen (N-acetylglucosaminidase), and phosphorus (acid phosphatase) cycles were determined. Structural community data were used to predict functional patterns of the rhizosphere communities using Tax4Fun and PanFP. Subsequently, the predictions were compared with the measured activities. Despite the fact that different treatments mainly drove either community composition (plant growth phase) or measured enzyme activities (farming system), the predictions mirrored patterns in the treatments in a qualitative but not quantitative way. Most of the discrepancies between measured and predicted values resulted from plant growth stages (fast community response), followed by farming management and climate (slower community response). Thus, our results suggest the applicability of the prediction tools for comparative investigations of soil community functionality in less-dynamic environmental systems. IMPORTANCE Linking soil microbial community structure to its functionality, which is important for maintaining health and services of an ecosystem, is still challenging. Besides great advances in structural community analysis, functional equivalents, such as metagenomics and metatranscriptomics, are still time and cost intensive. Recent computational approaches (Tax4Fun and PanFP) aim to predict functions from structural community data based on reference genomes. Although the usability of these tools has been confirmed with metagenomic data, a comparison between predicted and measured functions is so far missing. Thus, this study comprises an expansive reality test on the performance of these tools under different environmental conditions, including relevant global change factors (land use and climate). The work provides a valuable validation of the applicability of the prediction tools for comparison of soil community functions across different sufficiently established soil ecosystems and suggest their usability to unravel the broad spectrum of functions provided by a given community structure.

Occurrence of Legionella spp. in Man-Made Water Sources: Isolates Distribution and Phylogenetic Characterization in the Emilia-Romagna Region

Legionella species distribution in the Emilia-Romagna region, involving hospital (H) and community (C) environments, was conducted. Legionella culture, agglutination test, and mip-gene sequencing were applied on 240 isolates. The analysis showed a higher prevalence of non-Legionellapneumophila (n-Lp) species (84.1%) compared with L. pneumophila (Lp) (15.9%), with a higher frequency of n-Lp with respect to Lp species in both environments (77.6% and 96.4%, in H and C, respectively). The Shannon index showed a significant difference in Legionella distribution (p = 0.00017), with a significant abundance of Lp in the H compared with C environment (p = 0.00028). The continuous disinfection treatment in H could contribute to adaptive survival of the Lp species. Phylogenetic analysis revealed a conservative clade distribution between H and C: L. feeleii clade with three subclades in C and the Lp clade with five subclades in H and two in C, respectively. Our findings suggest the importance of Legionella surveillance both in H and C, with a focus on n-Lp species less connected to human disease. The Legionella prevalence and diversity found here indicate that geographical and temporal isolate evolution should be considered during surveillance, particularly in the light of global warming and changes in population risk factors.

Are the Closely Related Cobetia Strains of Different Species?

Marine bacteria of the genus Cobetia, which are promising sources of unique enzymes and secondary metabolites, were found to be complicatedly identified both by phenotypic indicators due to their ecophysiology diversity and 16S rRNA sequences because of their high homology. Therefore, searching for the additional methods for the species identification of Cobetia isolates is significant. The species-specific coding sequences for the enzymes of each functional category and different structural families were applied as additional molecular markers. The 13 closely related Cobetia isolates, collected in the Pacific Ocean from various habitats, were differentiated by the species-specific PCR patterns. An alkaline phosphatase PhoA seems to be a highly specific marker for C. amphilecti. However, the issue of C. amphilecti and C. litoralis, as well as C. marina and C. pacifica, belonging to the same or different species remains open.

Species-specific genomic sequences for classification of bacteria

Modern bacterial classification relies on genomic relatedness. Genetic variation in bacterial populations present a big challenge for taxonomic classification and recently several bacterial species have been reclassified based on the intra-species genome comparison. These were facilitated by next generation sequencing technologies and advances in genome comparison approaches which led to the rearrangement of diverse bacterial species and revolution in the microbial classification system. One of the outcome of these studies is the development of suitable DNA barcodes as reliable and cost-effective method for identifying various bacterial genera. Towards refining this further, we have applied a genome comparison approach in 1104 bacterial genome assemblies (excluding plasmids) to identify unique genomic segments among intra-species genome assemblies. Using extensive bioinformatics analysis, we have identified species-specific genomic regions and designed unique primers for 100 different species (belonging to 62 genera) which includes 62 pathogenic and 13 opportunistic pathogenic bacterial species and built a database (http://slsdb.manipal.edu/bact/). These species-specific genomic regions will have a major impact on in silico and molecular methods aimed at bacterial classification and identification. These may also serve as better DNA barcodes than the markers currently used for delineation of bacteria and may also find application in various translational research programs.

Genetic marker gene, recQ, differentiating Bacillus subtilis and the closely related Bacillus species

RecQ, which encodes a DNA helicase, was selected in searching for a marker gene of Bacillus subtilis and related species via genome mining. RecQ gene sequence similarity of type strains among Bacillus species used in this study ranged from 66.2% to 96.6%, whereas orthologous average nucleotide identity ranged from 72.6% to 95.8%. According to the phylogenetic tree based on recQ sequences, each type strain of all Bacillus species or subspecies used in this study was placed in a unique taxonomic position. Four B. subtilis subspecies, Bacillus tequilensis and Bacillus vallismortis were grouped in one cluster (cluster A). Strains of B. subtilis subsp. subtilis were classified into A1 cluster, and divided into subgroups. Isolates from Natto, Japanese fermented bean food, were classified into one subgroup, whereas those from Cheonggukjang, Korean fermented bean food, were divided into several subgroups within A1. Type strains of Bacillus halotolerans and Bacillus mojavensis were grouped into another cluster (cluster B), related to cluster A. Bacillus siamensis, Bacillus velezensis and Bacillus amyloliquefaciens were grouped into an independent cluster (cluster E). Sequencing of recQ was useful for the classification or differentiation of B. subtilis and closely related species. Therefore, recQ gene can be applied to the classification of these taxa.

A Two-Component System Acquired by Horizontal Gene Transfer Modulates Gene Transfer and Motility via Cyclic Dimeric GMP

Bis-(3'-5')-cyclic dimeric guanosine monophosphate (c-di-GMP) is an important intracellular signaling molecule that affects diverse physiological processes in bacteria. The intracellular levels of c-di-GMP are controlled by proteins acting as diguanylate cyclase (DGC) and phosphodiesterase (PDE) enzymes that synthesize and degrade c-di-GMP, respectively. In the alphaproteobacterium Rhodobacter capsulatus, flagellar motility and gene exchange via production of the gene transfer agent RcGTA are regulated by c-di-GMP. One of the R. capsulatus proteins involved in this regulation is Rcc00620, which contains an N-terminal two-component system response regulator receiver (REC) domain and C-terminal DGC and PDE domains. We demonstrate that the enzymatic activity of Rcc00620 is regulated through the phosphorylation status of its REC domain, which is controlled by a cognate histidine kinase protein, Rcc00621. In this system, the phosphorylated form of Rcc00620 is active as a PDE enzyme and stimulates gene transfer and motility. In addition, we discovered that the rcc00620 and rcc00621 genes are present in only one lineage within the genus Rhodobacter and were acquired via horizontal gene transfer from a distantly related alphaproteobacterium in the order Sphingomonadales. Therefore, a horizontally acquired regulatory system regulates gene transfer in the recipient organism.

Rapid Nanopore Assay for Carbapenem-Resistant Klebsiella pneumoniae

The prevalence of carbapenem-resistant Klebsiella pneumoniae (CRKP) is rapidly increasing worldwide in recent decades and poses a challenge for today's clinical practice. Rapid detection of CRKP can avoid inappropriate antimicrobial therapy and save lives. Traditional detection methods for CRKP are extremely time-consuming; PCR and other sequencing methods are too expensive and technologically demanding, making it hard to meet the clinical demands. Nanopore assay has been used for screening biomarkers of diseases recently because of its high sensitivity, real-time detection, and low cost. In this study, we distinguished CRKP from carbapenem-sensitive K. pneumoniae (CSKP) by the detection of increasing amount of extracted 16S ribosomal RNA (16S rRNA) from bacterial culture with antibiotics imipenem, indicating the uninhibited growth of CRKP by the imipenem. Specific signals from single channel recording of 16S rRNA bound with probes by MspA nanopore allowed the ultra-sensitive and fast quantitative detection of 16S rRNA. We proved that only 4 h of CRKP culture time was needed for nanopore assay to distinguish the CRKP and CSKP. The time-cost of the assay is only about 5% of disk diffusion method while reaching the similar accuracy. This new method has the potential application in the fast screening of drug resistance in clinical microorganism samples.

Application of filamentous phages in environment: A tectonic shift in the science and practice of ecorestoration

Theories in soil biology, such as plant-microbe interactions and microbial cooperation and antagonism, have guided the practice of ecological restoration (ecorestoration). Below-ground biodiversity (bacteria, fungi, invertebrates, etc.) influences the development of above-ground biodiversity (vegetation structure). The role of rhizosphere bacteria in plant growth has been largely investigated but the role of phages (bacterial viruses) has received a little attention. Below the ground, phages govern the ecology and evolution of microbial communities by affecting genetic diversity, host fitness, population dynamics, community composition, and nutrient cycling. However, few restoration efforts take into account the interactions between bacteria and phages. Unlike other phages, filamentous phages are highly specific, nonlethal, and influence host fitness in several ways, which make them useful as target bacterial inocula. Also, the ease with which filamentous phages can be genetically manipulated to express a desired peptide to track and control pathogens and contaminants makes them useful in biosensing. Based on ecology and biology of filamentous phages, we developed a hypothesis on the application of phages in environment to derive benefits at different levels of biological organization ranging from individual bacteria to ecosystem for ecorestoration. We examined the potential applications of filamentous phages in improving bacterial inocula to restore vegetation and to monitor changes in habitat during ecorestoration and, based on our results, recommend a reorientation of the existing framework of using microbial inocula for such restoration and monitoring. Because bacterial inocula and biomonitoring tools based on filamentous phages are likely to prove useful in developing cost-effective methods of restoring vegetation, we propose that filamentous phages be incorporated into nature-based restoration efforts and that the tripartite relationship between phages, bacteria, and plants be explored further. Possible impacts of filamentous phages on native microflora are discussed and future areas of research are suggested to preclude any potential risks associated with such an approach.

Genome-based taxonomic classification

Bacterial populations are routinely characterized based on microscopic examination, colony formation, and biochemical tests. However, in the recent past, bacterial identification, classification, and nomenclature have been strongly influenced by genome sequence information. Advances in bioinformatics and growth in genome databases has placed genome-based metadata analysis in the hands of researchers who will require taxonomic experience to resolve intricacies. To achieve this, different tools are now available to quantitatively measure genome relatedness within members of the same species, and genome-wide average nucleotide identity (gANI) is one such reliable tool to measure genome similarity. A genome assembly with a gANI score of <95% at the intraspecies level is generally considered indicative of a separate species. In this study, we have analysed 300 whole-genome sequences belonging to 26 different bacterial species available in the NCBI Genome database and calculated their similarity at the intraspecies level based on gANI score. At the intraspecies level, nine bacterial species showed less than 90% gANI and more than 10% of unaligned regions. We suggest the appropriate use of available bioinformatics resources after genome assembly to arrive at the proper bacterial identification, classification, and nomenclature to avoid erroneous species assignments and disparity due to diversity at the intraspecies level.

Transmission strategies in a chemosynthetic symbiosis: detection and quantification of symbionts in host tissues and their environment

Transmission of bacteria vertically through host tissues ensures offspring acquire symbionts; however, horizontal transmission is an effective strategy for many associations and plays a role in some vertically transmitted symbioses. The bivalve Solemya velum and its gammaproteobacterial chemosynthetic symbionts exhibit evolutionary evidence of both transmission modes, but the dominant strategy on an ecological time scale is unknown. To address this, a specific primer set was developed and validated for the S. velum symbiont using a novel workflow called specific marker design (SMD). Symbionts were quantified in spawned eggs and sediment and seawater samples from S. velum habitats with qPCR. Each egg was estimated to contain 50-100 symbiont genomes. By contrast, symbiont DNA was found at low abundance/occurrence in sediment and seawater, often co-occurring with host mitochondrial DNA, obscuring its origin. To ascertain when eggs become infected, histological sections of S. velum tissues were labelled for symbiont 16S rRNA via in situ hybridization. This revealed symbionts in the ovary walls and mature oocytes, suggesting association in late oogenesis. These data support the hypothesis that S. velum symbionts are vertically transmitted every host generation, thus genetic signatures of horizontal transmission are driven by ecologically infrequent events. This knowledge furthers our understanding of vertical and horizontal mode integration and provides insights across animal-bacterial chemosynthetic symbioses.

High abundance and expression of transposases in bacteria from the Baltic Sea

Transposases are mobile genetic elements suggested to have an important role in bacterial genome plasticity and host adaptation but their transcriptional activity in natural bacterial communities is largely unexplored. Here we analyzed metagenomes and -transcriptomes of size fractionated (0.1-0.8, 0.8-3.0 and 3.0-200 μm) bacterial communities from the brackish Baltic Sea, and adjacent marine waters. The Baltic Sea transposase levels, up to 1.7% of bacterial genes and 2% of bacterial transcripts, were considerably higher than in marine waters and similar to levels reported for extreme environments. Large variations in expression were found between transposase families and groups of bacteria, with a two-fold higher transcription in Cyanobacteria than in any other phylum. The community-level results were corroborated at the genus level by Synechococcus transposases reaching up to 5.2% of genes and 6.9% of transcripts, which is in contrast to marine Synechococcus that largely lack these genes. Levels peaked in Synechococcus from the largest size fraction, suggesting high frequencies of lateral gene transfer and high genome plasticity in colony-forming picocyanobacteria. Together, the results support an elevated rate of transposition-based genome change and adaptation in bacterial populations of the Baltic Sea, and possibly also of other highly dynamic estuarine waters.

Diversity and Expression of Bacterial Metacaspases in an Aquatic Ecosystem

Metacaspases are distant homologs of metazoan caspase proteases, implicated in stress response, and programmed cell death (PCD) in bacteria and phytoplankton. While the few previous studies on metacaspases have relied on cultured organisms and sequenced genomes, no studies have focused on metacaspases in a natural setting. We here present data from the first microbial community-wide metacaspase survey; performed by querying metagenomic and metatranscriptomic datasets from the brackish Baltic Sea, a water body characterized by pronounced environmental gradients and periods of massive cyanobacterial blooms. Metacaspase genes were restricted to ~4% of the bacteria, taxonomically affiliated mainly to Bacteroidetes, Alpha- and Betaproteobacteria and Cyanobacteria. The gene abundance was significantly higher in larger or particle-associated bacteria (>0.8 μm), and filamentous Cyanobacteria dominated metacaspase gene expression throughout the bloom season. Distinct seasonal expression patterns were detected for the three metacaspase genes in Nodularia spumigena, one of the main bloom-formers. Clustering of normalized gene expression in combination with analyses of genomic and assembly data suggest functional diversification of these genes, and possible roles of the metacaspase genes related to stress responses, i.e., sulfur metabolism in connection to oxidative stress, and nutrient stress induced cellular differentiation. Co-expression of genes encoding metacaspases and nodularin toxin synthesis enzymes was also observed in Nodularia spumigena. The study shows that metacaspases represent an adaptation of potentially high importance for several key organisms in the Baltic Sea, most prominently Cyanobacteria, and open up for further exploration of their physiological roles in microbes and assessment of their ecological impact in aquatic habitats.

A Dormant Microbial Component in the Development of Preeclampsia

Preeclampsia (PE) is a complex, multisystem disorder that remains a leading cause of morbidity and mortality in pregnancy. Four main classes of dysregulation accompany PE and are widely considered to contribute to its severity. These are abnormal trophoblast invasion of the placenta, anti-angiogenic responses, oxidative stress, and inflammation. What is lacking, however, is an explanation of how these themselves are caused. We here develop the unifying idea, and the considerable evidence for it, that the originating cause of PE (and of the four classes of dysregulation) is, in fact, microbial infection, that most such microbes are dormant and hence resist detection by conventional (replication-dependent) microbiology, and that by occasional resuscitation and growth it is they that are responsible for all the observable sequelae, including the continuing, chronic inflammation. In particular, bacterial products such as lipopolysaccharide (LPS), also known as endotoxin, are well known as highly inflammagenic and stimulate an innate (and possibly trained) immune response that exacerbates the inflammation further. The known need of microbes for free iron can explain the iron dysregulation that accompanies PE. We describe the main routes of infection (gut, oral, and urinary tract infection) and the regularly observed presence of microbes in placental and other tissues in PE. Every known proteomic biomarker of "preeclampsia" that we assessed has, in fact, also been shown to be raised in response to infection. An infectious component to PE fulfills the Bradford Hill criteria for ascribing a disease to an environmental cause and suggests a number of treatments, some of which have, in fact, been shown to be successful. PE was classically referred to as endotoxemia or toxemia of pregnancy, and it is ironic that it seems that LPS and other microbial endotoxins really are involved. Overall, the recognition of an infectious component in the etiology of PE mirrors that for ulcers and other diseases that were previously considered to lack one.

Comparative integrated omics: identification of key functionalities in microbial community-wide metabolic networks

BACKGROUND

Mixed microbial communities underpin important biotechnological processes such as biological wastewater treatment (BWWT). A detailed knowledge of community structure and function relationships is essential for ultimately driving these systems towards desired outcomes, e.g., the enrichment in organisms capable of accumulating valuable resources during BWWT.

METHODS

A comparative integrated omic analysis including metagenomics, metatranscriptomics and metaproteomics was carried out to elucidate functional differences between seasonally distinct oleaginous mixed microbial communities (OMMCs) sampled from an anoxic BWWT tank. A computational framework for the reconstruction of community-wide metabolic networks from multi-omic data was developed. These provide an overview of the functional capabilities by incorporating gene copy, transcript and protein abundances. To identify functional genes, which have a disproportionately important role in community function, we define a high relative gene expression and a high betweenness centrality relative to node degree as gene-centric and network topological features, respectively.

RESULTS

Genes exhibiting high expression relative to gene copy abundance include genes involved in glycerolipid metabolism, particularly triacylglycerol lipase, encoded by known lipid accumulating populations, e.g., CandidatusMicrothrix parvicella. Genes with a high relative gene expression and topologically important positions in the network include genes involved in nitrogen metabolism and fatty acid biosynthesis, encoded by Nitrosomonas spp. and Rhodococcus spp. Such genes may be regarded as 'keystone genes' as they are likely to be encoded by keystone species.

CONCLUSION

The linking of key functionalities to community members through integrated omics opens up exciting possibilities for devising prediction and control strategies for microbial communities in the future.

Genetic characterization and authentication of Lonicera japonica Thunb. by using improved RAPD analysis

In traditional medicine, Lonicera japonica (Thunb.) has a notable place, and it has been used for thousands of years in China, Japan, Korea and other East-Asian countries for treating cancer, inflammation, hepatic complications, influenza and wounds. However, the molecular or genetic characteristic of this plant is not well defined. In this study, improved random amplified polymorphic DNA (RAPD) has been employed for the genetic characterization of five varieties of L. japonica collected from different geographic locations of Southern China. A total of 147 bands of DNA fragments were obtained in RAPD-PCR by using 18 primers, and the band sizes ranged from approximately 300-2,000 bp, with 3-11 amplified bands for each primer. Based on the RAPD amplification profiles, cluster dendrogram was obtained, which showed that the similarity coefficients among five varieties of L. japonica ranged from 0.59 to 0.77. To our knowledge, this is the first report of genetic characterization of L. japonica using improved RAPD analysis which has been validated by ISSR analysis, and this characterization may be useful for the preservation of genetic diversity and Lonicera population identification. Moreover, as an option, the improved method could be employed for a variety of applications in genetic diversity and fingerprinting analyses.