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1.
bioRxiv ; 2023 Jun 09.
Artigo em Inglês | MEDLINE | ID: mdl-37333098

RESUMO

The frequent exchange of mobile genetic elements (MGEs) between bacteria accelerates the spread of functional traits, including antimicrobial resistance, within the human microbiome. Yet, progress in understanding these intricate processes has been hindered by the lack of tools to map the spatial spread of MGEs in complex microbial communities, and to associate MGEs to their bacterial hosts. To overcome this challenge, we present an imaging approach that pairs single molecule DNA Fluorescence In Situ Hybridization (FISH) with multiplexed ribosomal RNA FISH, thereby enabling the simultaneous visualization of both MGEs and host bacterial taxa. We used this methodology to spatially map bacteriophage and antimicrobial resistance (AMR) plasmids in human oral biofilms, and we studied the heterogeneity in their spatial distributions and demonstrated the ability to identify their host taxa. Our data revealed distinct clusters of both AMR plasmids and prophage, coinciding with densely packed regions of host bacteria in the biofilm. These results suggest the existence of specialized niches that maintain MGEs within the community, possibly acting as local hotspots for horizontal gene transfer. The methods introduced here can help advance the study of MGE ecology and address pressing questions regarding antimicrobial resistance and phage therapy.

2.
Phys Fluids (1994) ; 34(3): 031910, 2022 Mar.
Artigo em Inglês | MEDLINE | ID: mdl-35392485

RESUMO

The Food and Drug Administration recommends against washing raw chicken due to the risk of transferring dangerous food-borne pathogens through splashed drops of water. Many cooks continue to wash raw chicken despite this warning, however, and there is a lack of scientific research assessing the extent of microbial transmission in splashed droplets. Here, we use large agar plates to confirm that bacteria can be transferred from the surface of raw chicken through splashing. We also identify and create a phylogenetic tree of the bacteria present on the chicken and the bacteria transferred during splashing. While no food-borne pathogens were identified, we note that organisms in the same genera as pathogens were transferred from the chicken surface through these droplets. Additionally, we show that faucet height, flow type, and surface stiffness play a role in splash height and distance. Using high-speed imaging to explore splashing causes, we find that increasing faucet height leads to a flow instability that can increase splashing. Furthermore, splashing from soft materials such as chicken can create a divot in the surface, leading to splashing under flow conditions that would not splash on a curved, hard surface. Thus, we conclude that washing raw chicken does risk pathogen transfer and cross-contamination through droplet ejection, and that changing washing conditions can increase or decrease the risk of splashing.

3.
Artigo em Inglês | MEDLINE | ID: mdl-34151052

RESUMO

Microbes thrive in diverse habitats. They often form ecological niches with rich species diversity and complex spatial structure. These communities drive biogeochemical cycles in the environment and modulate host health in the human body. Much has been learned about the makeup of human and environmental microbiota via metagenomic DNA sequencing, but information on spatial interactions between microbes and between microbes and their environment remains scarce. Here, we review recent advances in tools to map the biogeography of microbiomes. We discuss methods to spatially map microbial genes, transcripts, and metabolites. We also examine future directions for microbiome mapping technologies that will allow improved understanding of both microbiome structure and function. Finally, we reflect on the impact of these methods in Biomedical Engineering.

4.
Nat Commun ; 12(1): 1771, 2021 03 19.
Artigo em Inglês | MEDLINE | ID: mdl-33741943

RESUMO

Single-cell RNA sequencing is a powerful tool to study developmental biology but does not preserve spatial information about tissue morphology and cellular interactions. Here, we combine single-cell and spatial transcriptomics with algorithms for data integration to study the development of the chicken heart from the early to late four-chambered heart stage. We create a census of the diverse cellular lineages in developing hearts, their spatial organization, and their interactions during development. Spatial mapping of differentiation transitions in cardiac lineages defines transcriptional differences between epithelial and mesenchymal cells within the epicardial lineage. Using spatially resolved expression analysis, we identify anatomically restricted expression programs, including expression of genes implicated in congenital heart disease. Last, we discover a persistent enrichment of the small, secreted peptide, thymosin beta-4, throughout coronary vascular development. Overall, our study identifies an intricate interplay between cellular differentiation and morphogenesis.


Assuntos
Regulação da Expressão Gênica no Desenvolvimento , Coração/embriologia , Morfogênese/genética , Miocárdio/metabolismo , Análise de Sequência de RNA/métodos , Análise de Célula Única/métodos , Animais , Diferenciação Celular/genética , Linhagem da Célula/genética , Embrião de Galinha , Galinhas , Células Epiteliais/metabolismo , Perfilação da Expressão Gênica/métodos , Humanos , Mesoderma/citologia , Mesoderma/embriologia , Mesoderma/metabolismo , Miocárdio/citologia
5.
Nature ; 588(7839): 676-681, 2020 12.
Artigo em Inglês | MEDLINE | ID: mdl-33268897

RESUMO

Mapping the complex biogeography of microbial communities in situ with high taxonomic and spatial resolution poses a major challenge because of the high density1 and rich diversity2 of species in environmental microbiomes and the limitations of optical imaging technology3-6. Here we introduce high-phylogenetic-resolution microbiome mapping by fluorescence in situ hybridization (HiPR-FISH), a versatile technology that uses binary encoding, spectral imaging and decoding based on machine learning to create micrometre-scale maps of the locations and identities of hundreds of microbial species in complex communities. We show that 10-bit HiPR-FISH can distinguish between 1,023 isolates of Escherichia coli, each fluorescently labelled with a unique binary barcode. HiPR-FISH, in conjunction with custom algorithms for automated probe design and analysis of single-cell images, reveals the disruption of spatial networks in the mouse gut microbiome in response to treatment with antibiotics, and the longitudinal stability of spatial architectures in the human oral plaque microbiome. Combined with super-resolution imaging, HiPR-FISH shows the diverse strategies of ribosome organization that are exhibited by taxa in the human oral microbiome. HiPR-FISH provides a framework for analysing the spatial ecology of environmental microbial communities at single-cell resolution.


Assuntos
Hibridização in Situ Fluorescente/métodos , Microbiota , Algoritmos , Animais , Antibacterianos/farmacologia , Biofilmes , Escherichia coli/classificação , Escherichia coli/citologia , Escherichia coli/genética , Escherichia coli/isolamento & purificação , Microbioma Gastrointestinal/efeitos dos fármacos , Humanos , Camundongos , Microbiota/efeitos dos fármacos , Boca/efeitos dos fármacos , Boca/microbiologia , Ribossomos/metabolismo , Análise de Célula Única
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