Fluorescence in situ hybridization of bacterial cell suspensions

Microfluidic One-Pot Digital Droplet FISH Using LNA/DNA Molecular Beacons for Bacteria Detection and Absolute Quantification

We demonstrate detection and quantification of bacterial load with a novel microfluidic one-pot wash-free fluorescence in situ hybridization (FISH) assay in droplets. The method offers minimal manual workload by only requiring mixing of the sample with reagents and loading it into a microfluidic cartridge. By centrifugal microfluidic step emulsification, our method partitioned the sample into 210 pL (73 µm in diameter) droplets for bacterial encapsulation followed by in situ permeabilization, hybridization, and signal detection. Employing locked nucleic acid (LNA)/DNA molecular beacons (LNA/DNA MBs) and NaCl-urea based hybridization buffer, the assay was characterized with Escherichia coli, Klebsiella pneumonia, and Proteus mirabilis. The assay performed with single-cell sensitivity, a 4-log dynamic range from a lower limit of quantification (LLOQ) at ~3 × 10³ bacteria/mL to an upper limit of quantification (ULOQ) at ~3 × 10⁷ bacteria/mL, anda linearity R² = 0.976. The total time-to-results for detection and quantification was around 1.5 hours.

Uncovering the hidden bacterial ghost communities of yeast and experimental evidences demonstrates yeast as thriving hub for bacteria

Our major concern was to address “yeast endobacteria” which was based on a few reports in the recent past where bacteria may find yeast as a niche for survival. In this study, we report the microbiota of twenty-nine axenic yeast cultures recovered from different habitats based on their 16S rRNA gene-amplicon metagenomes. Yeasts were identified based on D1/D2 or ITS gene sequences. Bacterial diversity was widespread, varied and rich among all yeasts except for four strains. Taxa belonging to the phylum Firmicutes, Proteobacteria, Actinobacteria and Bacteroidetes and the genera; Streptococcus, Propionibacterium were common to all the yeasts. Candida tropicalis was used as a model organism to confirm bacteria through fluorescence in situ hybridization (FISH), isolating and re-introducing the isolated bacteria into the yeast. FISH analysis confirmed the endobacteria of C. tropicalis and we have successfully isolated four bacteria only after lysis and disruption of yeast cells. These bacteria were identified as species of Pseudomonas, Chryseobacterium, Lysinibacillus and Propionibacterium. Guestimates indicate 95% of bacterial species of C. tropicalis are yet-to-be-cultivated. We have successfully reintroduced mCherry tagged Pseudomonas into C. tropicalis. Also, auto-fluorescent Prochlorococcus and Rhodopseudomonas could be introduced into C. tropicalis while mCherry tagged E. coli or Salmonella could not be introduced. FISH analysis confirmed the presence of both native and infected bacterial cells present in C. tropicalis. Our findings unveil the insights into the ghost microbiota associated with yeast, which otherwise are considered to be axenic cultures. Their inherent occurrence, together with co-cultivation experiments under laboratory conditions suggests that yeasts are a thriving hub for bacterial communities.

Development of a fixation-free fluorescence in situ hybridization for the detection of Salmonella species

Salmonella is one of the most important infectious bacteria causing severe gastroenteritis and deaths in humans and animals, and the prompt diagnosis is crucial for effective control and treatment. The detection of Salmonella still depends principally on culture-based methods, which is time-consuming and laborious. Recently, polyhexamethylene biguanide (PHMB) was discovered to have cellular delivery properties and its combination with the fluorescence in situ hybridization (FISH) method was exploited for oligomer delivery and the rapid detection of Salmonella spps in this study. Cell-associated fluorescence was quantified using Volocity® 3-D image analysis software (Volocity 6.3, PerkinElmer, Inc.). PHMB complexed with fluorophore-labelled species-specific oligomers permeabilized freshly grown viable strains of Salmonella cells and mediated strong cell-associated fluorescence signals. This strategy further enabled a fixation-free protocol and hybridization in a single reaction. Using the modified FISH method, monoculture Salmonella strains were validated as well as detected in artificially contaminated water and milk within a turnaround period of 5 h. The method was observed to be comparable with the standard FISH technique (sFISH; P > 0.05). The findings suggest that fixation-free delivery and hybridization of oligomers using PHMB can provide a simplified and prompt strategy for Salmonella detection at the species level, and promote early management responses to the disease and appropriate antimicrobial therapy.

Bacterial communities of sponges from the wetland ecosystem of Little Rann of Kutch, India with particular reference to Planctomycetes

Five sponge specimens belonging to the genera Spongilla and Ciocalypta were collected from Little Rann of Kutch (in Gujarat, India) and analysed for associated microbiomes. Critical analysis was done with respect to members of the phylum Planctomycetes, using two different strategies; 1. Culture-independent metagenomic approach and 2. culture-dependent anaerobic enrichment for anammox-planctomycetes. The 16S rRNA gene (V1-V3 region) amplicon metagenome analysis revealed significant divergence in bacterial diversity, including Planctomycetes among the sponges analysed. Community metagenomics revealed a total of 376 Operational Taxonomic Units (OTUs) belonging to 41 different phyla. OTUs belonging to Proteobacteria was the most abundant (38%) among the sponge analysed. The KEGG annotation predicted a total of 6909 KEGG orthologs (KOs); most of the KOs are associated with membrane transport, xenobiotic degradation, production of secondary metabolites, amino acid metabolism and carbohydrate metabolism. In the culture-dependent study, FISH analysis confirmed the association of anammox-planctomycetes with sponges. Partial 16S rRNA gene sequences of two planctomycetes (JC545, JC543) were cladding with those of uncultured Phycisphaerae class. The other three putative anammox bacteria (JC541, JC542, JC544) formed a different clade with "Candidatus Brocadia anammoxidans". These three putative bacteria believably represent new species/genus related to "Candidatus Brocadia".

Single-Cell RNA Sequencing of Plant-Associated Bacterial Communities

Plants in soil are not solitary, hence continually interact with and obtain benefits from a community of microbes ("microbiome"). The meta-functional output from the microbiome results from complex interactions among the different community members with distinct taxonomic identities and metabolic capacities. Particularly, the bacterial communities of the root surface are spatially organized structures composed of root-attached biofilms and planktonic cells arranged in complex layers. With the distinct but coordinated roles among the different member cells, bacterial communities resemble properties of a multicellular organism. High throughput sequencing technologies have allowed rapid and large-scale analysis of taxonomic composition and metabolic capacities of bacterial communities. However, these methods are generally unable to reconstruct the assembly of these communities, or how the gene expression patterns in individual cells/species are coordinated within these communities. Single-cell transcriptomes of community members can identify how gene expression patterns vary among members of the community, including differences among different cells of the same species. This information can be used to classify cells based on functional gene expression patterns, and predict the spatial organization of the community. Here we discuss strategies for the isolation of single bacterial cells, mRNA enrichment, library construction, and analysis and interpretation of the resulting single-cell RNA-Seq datasets. Unraveling regulatory and metabolic processes at the single cell level is expected to yield an unprecedented discovery of mechanisms involved in bacterial recruitment, attachment, assembly, organization of the community, or in the specific interactions among the different members of these communities.

Detection of Ampicillin-Resistant E. coli Using Novel Nanoprobe-Combined Fluorescence In Situ Hybridization

Antibiotic-resistant bacteria present a global threat because the infections they cause are difficult to treat. Therefore, it is highly important to develop advanced methods for the identification of antibiotic resistance gene in the virulent bacteria. Here, we report the development of novel nanoprobes for fluorescence in situ hybridization (FISH) and the application of the nanoprobe to the detection of ampicillin-resistant Escherichia coli. The nanoprobe for FISH was synthesized by the modified sol-gel chemistry and the synthesized nanoprobe provided strong fluorescent signals and pH stability even under natural light condition. For the double-identification of bacteria species and ampicillin-resistance with a single probe in situ, the nanoprobes were conjugated to the two kinds of biotinylated probe DNAs; one for E. coli-species specific gene and the other for a drug-resistant gene. By using the nanoprobe-DNA conjugants, we successfully detected the ampicillin-resistant E. coli through the FISH technique. This result suggests the new insight into light stable FISH application of the nanoprobe for a pathogenic antibiotic-resistance bacterium.

Differential detection of pathogenic Yersinia spp. by fluorescence in situ hybridization

Yersinia enterocolitica, Y. pseudotuberculosis and Y. pestis are pathogens of major medical importance, which are responsible for a considerable number of infections every year. The detection of these species still relies on cultural methods, which are slow, labour intensive and often hampered by the presence of high amounts of accompanying flora. In this study, fluorescence in situ hybridization (FISH) was used to develop a fast, sensitive and reliable alternative to detect viable bacteria in food. For this purpose, highly specific probes targeting the 16S and 23S ribosomal RNA were employed to differentially detect each of the three species. In order to enable the differentiation of single nucleotide polymorphisms (SNPs), suitable competitor oligonucleotides and locked nucleic acids (LNAs) were used. Starved cells still showed a strong signal and a direct viable count (DVC) approach combined with FISH optimized live/dead discrimination. Sensitivity of the FISH test was high and even a single cell per gram of spiked minced pork meat could be detected within a day, demonstrating the applicability to identify foodborne hazards at an early stage. In conclusion, the established FISH tests proved to be promising tools to compensate existing drawbacks of the conventional cultural detection of these important zoonotic agents.