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Genome recovery from metagenomics data and functional analysis of soil microbiome from Whalers Bay: Antarctic samples

Grant number: 19/22891-0
Support type:Scholarships abroad - Research Internship - Doctorate (Direct)
Effective date (Start): March 02, 2020
Effective date (End): February 01, 2021
Field of knowledge:Biological Sciences - Genetics - Molecular Genetics and Genetics of Microorganisms
Principal Investigator:Valeria Maia Merzel
Grantee:Victor Borin Centurion Biruel
Supervisor abroad: Stefano Campanaro
Home Institution: Centro Pluridisciplinar de Pesquisas Químicas, Biológicas e Agrícolas (CPQBA). Universidade Estadual de Campinas (UNICAMP). Paulínia , SP, Brazil
Local de pesquisa : Università degli Studi di Padova, Italy  
Associated to the scholarship:17/03172-8 - Mechanisms of stress adaptation in sediment microbiome of the Deception Volcanic Island in the Maritime Antarctic, BP.DD

Abstract

Isolation, metagenomics and metataxonomics studies conducted by the research team from the Microbial Resources Division, CPQBA, Unicamp, showed that the most abundant bacterial groups with biotechnological potential from South Shetlands Islands, in Maritime Antarctic, are members of the genera Arthrobacter, Chryseobacterium/Flavobacterium, Polaromonas and Psychrobacter. Based on this background information, the present study aims to develop and improve knowledge based on data analysis of the microbiota of Whalers Bay, Deception Island - Maritime through the use of different bioinformatics tools, e.g. Binning and Metatranscriptomics. The project has three main objectives: (i) metagenome-assembled genomes (MAGs) recovery from shotgun sequencing of sediment samples of Whalers Bay, Deception - Maritime Antarctica, collected during expeditions in three different summers; and (ii) mapping of the metatranscriptomic reads to the most relevant MAGs to uncover the main metabolic pathways and operons; and (iii) to relate the results obtained from biological samples to the corresponding physicochemical data. For the accomplishment of the first two goals, specific bioinformatic analyses will be carried out using the three-year metagenomic data and the metatranscriptomic data from one summer (2017). based on the obtained results, we expect to describe new genomes and putative new genes and, consequently molecules, allowing to broaden the understanding of the abiotic stresses to which these microorganisms are exposed along the years. (AU)