INVESTIGADORES
MOZZI Fernanda Beatriz
congresos y reuniones científicas
Título:
Comparative genomic analysis of the Fructobacillus genus reveals important differences in amino acid metabolism
Autor/es:
MOHAMED, F.; RAYA R.R.; MOZZI F.
Reunión:
Congreso; SAIB-SAMIGE 2020; 2020
Resumen:
The Fructobacillus genus is a group of obligatory fructophilic lactic acid bacteria, recently reclassified from Leuconostoc due to phylogenetic and biochemical differences. These bacteria require the use of fructose or another electron acceptor for its growth, because of the lack of an alcohol-acetaldehyde dehydrogenase gene (adhE). Previously, some genomic differences were reported in Fructobacillus respect to Leuconostoc, suggesting a reductive evolution in carbohydrate metabolism caused by an adaptation to fructose-rich niches. In this work, we performed a comparative genomic analysis in the genus Fructobacillus to evaluate possible genomic and metabolic differences among species. For this, nine Fructobacillus genomes were used. As expected, the GC content was highly similar among this genus (43,9 ? 44,8 %mol); however, some differences were found in genome size and number of CDS being the genomes of F. durionis DSM 19113 and F. sp. CRL 2054 smaller (1,32 Mb) than F. tropaeoli genomes (1,66 ? 1,68 Mb). Six intact prophage regions (20,6 ? 30,5 kb) were identified in four strains whereas Type II CRISPR-Cas systems were found in five genomes. A bacteriocin-coding gene was only found in F. durionis DSM 19113. Plasmids and antibiotic resistance genes were not detected in the studied genomes. Phylogenetic analyses were done based on 16S rRNA sequences and Fructobacillus core-genome. Both phylogenetic trees allowed us to distinguish two different phylogroups in this genus. Phylogroup 1 was composed by F. sp. CRL 2054, F. durionis and F. fructosus strains, whereas F. ficulneus, F. pseudoficulneus, F. sp. EFB-N1 and F. tropaeoli strains formed part of phylogroup 2. A pangenome analysis showed important differences in presence/absence of genes between both groups. Consequently, annotation of genomes in COG and KEGG databases was performed to classify genes according to its metabolic function. The number of genes involved in COG categories E, F, H and P related with metabolism were significantly lower (p