The objective of the project is to define the microbial "common core" associated with conditions with degradation of the anionic surfactant Alkylbenzene Linear Sulphonate (LAS), from mining data available in public databases containing sequences of the 16S rRNA gene. For this purpose, the analyzed sequences will come from 11 different scientific studies directed to the treatment of anionic surfactant (LAS) in different residuary waters. It should be noted that the sequences are available in public databases. The objectives of this work will be: (I) to evaluate the diversity and microbial wealth of the Domain Archaea and Bacteria through in silico analysis of data from databases (II) to predict the functional profile of the taxonomies obtained using the PICRUSt2 program; (III) to analyze in a integrated the physical-chemical data available in the articles published with the taxonomies obtained in the analyses; and (iv) to define and elaborate specific tutorials for analysis of bioinformatics in LINUX and statistics in R. Thus, the present work will contribute with the taxonomic data of the bacterial genera belonging to the microbial common core associated with LAS degradation, thus allowing the expansion of knowledge of relations among the microorganisms acting in the process. With this, it will be possible to improve the bacterial consortia used in biological reactors, making them more efficient in removal of anionic surfactant.
News published in Agência FAPESP Newsletter about the scholarship: