Bacteria and microbial enzymes are biocatalysts and can be used as an alternative to industrial chemical processes. The present study focused on isolating and identifying bacterial strains from shrimp waste, that produce amylases, lipases, proteases and chitinases with potential use on shrimp waste treatment. Thirty-two bacterial strains were isolated, phenotypically characterized, and identified by the API system and the molecular analysis of the 16S rDNA. It was found that 28.13% of the isolated bacterial strains had amylolytic capacity, 87.50% lipolytic, 96.88% proteolytic and 28.13% chitinolytic capacity on agar plates with specific substrates. The genera Bacillus, Burkholderia, Ochrobactrum, Vibrio, Pseudomonas and Shewanella were identified. Bacteria with enzymatic capacities isolated in the present study, could be used to obtain by-products from shrimp waste as well as other indus...

Bacteria and microbial enzymes are biocatalysts and can be used as an alternative to industrial chemical processes. The present study focused on isolating and identifying bacterial strains from shrimp waste, that produce amylases, lipases, proteases and chitinases with potential use on shrimp waste treatment. Thirty-two bacterial strains were isolated, phenotypically characterized, and identified by the API system and the molecular analysis of the 16S rDNA. It was found that 28.13% of the isolated bacterial strains had amylolytic capacity, 87.50% lipolytic, 96.88% proteolytic and 28.13% chitinolytic capacity on agar plates with specific substrates. The genera Bacillus, Burkholderia, Ochrobactrum, Vibrio, Pseudomonas and Shewanella were identified. Bacteria with enzymatic capacities isolated in the present study, could be used to obtain by-products from shrimp waste as well as other indus...

Abstract We designed a 16S rRNA gene PCR-RFLP scheme to identify all currently described Bartonella spp. The 16S rRNA genes of all Bartonella spp. were in-silico analyzed in order to design a RFLP technique able to discriminate among different species. The restriction enzymes selected were MaeIII, MseI, Sau96I, BsaAI, DrdI, FokI, BssHII, BstUI, AluI, TspDTI and HphI which, according to a decision-making tree, facilitated the differentiation of all the currently described species of Bartonella.The technique was experimentally tested in different species of Bartonella, including human pathogenic B. bacilliformis and B. henselae with a 100% of concordance with the in-silico predicted patterns.This novel RFLP assay could be used to identify both human and non-human pathogenic Bartonella in diagnostic, phylogenetic and epidemiologic studies.