The human mouth is colonized by a microbial community of enormous complexity that plays a key role in human health and disease. Dental plaque is a biofilm constructed and inhabited by microbes, and the oral microbial community is involved in the development of several infectious diseases such as dental caries, periodontal disease, alveolar osteitis, tonsillitis, strep throat and otitis media. The question of which organisms are present in the oral cavity has been extensively studied and over 600 species or phylotypes have been identified, of which only about half can be cultivated at the present time. Recent surveys using 16S rRNA clones indicate that the relative abundance of taxa is uneven, with about 250 taxa accounting for 90% of the clones observed. The DNA microarray or tag sequencing methods currently used to identify which taxa are present require that a sample be homogenized to extract the DNA for further analysis. Although centimeterscale information can be retained (for example, which tooth the plaque was taken from, or whether a sample was from the side or the top of the tongue), spatial information at the micron level--namely the level of microbial community organization--is lost. The objective of this project is to develop a novel, """"""""combinatorial imaging"""""""" method for simultaneous imaging and identification of many microbial taxa in samples from the human mouth, so as to obtain micronscale information about the spatial organization of the oral microbiome. The technique of fluorescence in situ hybridization (FISH) targeting ribosomal RNA is widely used to identify microbes and can be specific and sensitive, but as commonly employed it allows the differentiation of only two or three taxa simultaneously. We propose to extend the capabilities of FISH by at least an order of magnitude, employing a combination of fluorescent reporter groups to create """"""""spectral signatures"""""""" that allow simultaneous encoding and imaging of tens to potentially hundreds of different microbial phylotypes. Over the course of the project, individual FISH probes, and sets of fifteen or more FISH probes labeled with different combinations of fluorophores, will be designed and tested on cultured cells, in vitro biofilms and on plaque obtained from volunteers. The focus of the project is translational technology development, expanding the set of probes that can be employed to detect oral microbial taxa, obtaining information about where taxa are located relative to each other and relative to host (human) tissues, and pushing the practical limits of this technique as applied to dental microbes in small clusters and in biofilms. The technology has the potential to be used for developing high throughput translational science assays for the rapid and cost-effective monitoring of oral communities. It will lay the foundation for future studies examining the role of the normal microbial flora in both healthy and diseased mouths.
Hundreds of species of bacteria live in the human mouth;dental plaque is a biofilm constructed and inhabited by microbes;and the oral microbial community is involved in the development of many oral diseases including dental caries and periodontitis. This proposal is to develop innovative, """"""""combinatorial imaging"""""""" technology to study the precise spatial organization of different kinds of bacteria comprising microbial communities found in the mouth. The technology introduces """"""""spectral signatures"""""""" using binary combinations of fluorescently labeled probes targeting intact bacteria and using spectral imaging to differentiate large numbers of labeled probes simultaneously. This method will allow us to determine where taxa are located relative to each other and relative to the host (human) tissues, which will lay the foundation for new, rapid diagnostic assays and for studies of how oral microbial communities work and how pathogenic species invade host tissues and cause disease.
|Valm, Alex M; Mark Welch, Jessica L; Borisy, Gary G (2012) CLASI-FISH: principles of combinatorial labeling and spectral imaging. Syst Appl Microbiol 35:496-502|
|Valm, Alex M; Mark Welch, Jessica L; Rieken, Christopher W et al. (2011) Systems-level analysis of microbial community organization through combinatorial labeling and spectral imaging. Proc Natl Acad Sci U S A 108:4152-7|