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Gomila, Margarita

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  • Acinetobacter rudis sp. nov., isolated from raw milk and raw wastewater
    Publication . Vaz-Moreira, Ivone; Novo, Ana; Hantsis-Zacharov, Elionora; Lopes, Ana Rita; Gomila, Margarita; Nunes, Olga C.; Manaia, Célia M.; Halpern, Malka
    Two bacterial strains, G30T and A1PC16, isolated respectively from raw milk and raw wastewater, were characterized using a polyphasic approach. Chemotaxonomic characterization supported the inclusion of these strains in the genus Acinetobacter, with Q-8 and Q-9 as the major respiratory quinones, genomic DNA G+C contents within the range observed for this genus(38–47 mol%) and C16 : 0, C18 : 1v9c and C16 : 1v7c/iso-C15 : 0 2-OH as the predominant fatty acids. The observation of 16S rRNA gene sequence similarity lower than 97% with other Acinetobacter species with validly published names led to the hypothesis that these isolates could represent a novel species. This hypothesis was supported by comparative analysis of partial sequences of the genes rpoB and gyrB, which showed that strains G30T and A1PC16 did not cluster with any species with validly published names, forming a distinct lineage. DNA–DNA hybridizations confirmed that the two strains were members of the same species, which could be distinguished from their congeners by several phenotypic characteristics. On the basis of these arguments, it is proposed that strains G30T and A1PC16 represent a novel species, for which the name Acinetobacter rudis sp. nov. is proposed. The type strain is strain G30T (5LMG 26107T 5CCUG 57889T 5DSM 24031T 5CECT 7818T).
  • Applications of optical DNA mapping in microbiology
    Publication . Bogas, Diana; Nyberg, Lena; Pacheco, Rui; Azevedo, Nuno F.; Beech, Jason P.; Gomila, Margarita; Lalucat, Jorge; Manaia, Célia M.; Nunes, Olga C.; Tegenfeldt, Jonas O.; Westerlund, Fredrik
    Optical mapping (OM) has been used in microbiology for the past 20 years, initially as a technique to facilitate DNA sequence-based studies; however, with decreases in DNA sequencing costs and increases in sequence output from automated sequencing platforms, OM has grown into an important auxiliary tool for genome assembly and comparison. Currently, there are a number of new and exciting applications for OM in the field of microbiology, including investigation of disease outbreaks, identification of specific genes of clinical and/or epidemiological relevance, and the possibility of single-cell analysis when combined with cell-sorting approaches. In addition, designing lab-on-a-chip systems based on OM is now feasible and will allow the integrated and automated microbiological analysis of biological fluids. Here, we review the basic technology of OM, detail the current state of the art of the field, and look ahead to possible future developments in OM technology for microbiological applications.