Microflora Thermarum Atlas essay writers uk harbors biodiversity of Thermal Spring Waters.
Metagenomic data are obtained after massive sequencing of microflora DNA (mfDNA) and managed by bioinformatics tools. Laboratory software and methods were implemented to allow collection and storage of sequences. Analysis of mfDNA allows not only to identify and characterize thermal medicinal waters through their biological component, but even fingerprint each individual spring by a natural signature.
Thermal waters are like biological fluids, characterized by their own microbiota .
The molecular DNA approach and PCR amplification how to start conclusion paragraphs protocols based on rDNA analysis (or other genomic sequences) are improving environmental microbiology, overcoming the traditional old limits due to culture-based methods. This approach requires bioinformatics tools and a database to collect and analyze data, allowing comparisons and also the generation of a geographical map. MTA is a database-driven map containing mfDNA information on thermal spring water biodiversity. The scientific project originated from the Italian working group GSMS-SItI and involved the ICSPS and other networks through a multi- disciplinary collaborations.
Thermal springs are natural environments present all over the world and their use represents a social-economical resource with an impact on SPA medical, recreational and wellness applications. SPA waters and environments have an ancient and prestigious tradition in the Mediterranean countries, since Ancient Greeks and Romans cultures: Salus Per Aquam.
Physical-chemical and microbiological balances characterize the ecological niches of the springs and similar environments. Their knowledge is essential to define water properties and support their appropriate use and management.
Mapping Spring Biodiversity is an application part of a larger research project, involving metagenomics and aimed to characterize and fingerprint waters and water biodiversity. The phylogenic microbial profiles performed by Next Generation Sequencing analysis showed a clear separation between different springs. Statistical analyses can reveal correlations between the abundance of specific bacteria and environmental variables. Temperature, Sodium and H2S levels appear to play a key role in influencing the microbiota, but also microrganisms act on shaping the environment. The extension of this model will contribute to characterize and map the microbial community in thermal springs, allowing associations with chemical-physical factors.
Biodiversity is a still underestimated property of thermal springs and a key element in several SPA applications. The ATLAS progress is shedding light on biotic and abiotic components in these ecological niches, opening further perspectives for supporting appropriate use and management of thermal waters and their medical and wellness applications.