Automatic annotation and geneticcharacterization of two plant growth-promoting isolated from Ilex paraguariensis St Hil (yerba mate)

CORTESE, IJ; CASTRILLO, ML; ZAPATA, PD; LACZESKI, ME

Modalidad virtual

Congreso; 1st Latin American Congress of Women in Bioinformatics and Data Science 2020; 2020

The use of beneficial microorganisms that enhance the growth of crops is a promising alternative to sustainable agriculture. In the last years, exponential advances to generate and process large sets of biological data were developing. Nowadays different methods of genome annotation are available to identify the relevant characteristics of a sequence. Two endophytic bacteria were isolated from Ilex paraguariensis St Hil and selected for their plant growth-promoting properties (PGP) in vitro and in the nursery. To advance knowledge of the mechanisms involved in PGP the purposes of this work were to automatically annotate the complete genome and detect PGP genes of B. altitudinis 19RS3 and T5S-T4. The Rapid Prokaryotic Genome Annotation (Prokka) was used to genome annotation, while the Rapid Annotations using Subsystems Technology (RAST) annotation server and KEGG Automatic Annotation Server (KAAS) were used to determinate putative genes involved in PGP mechanisms. RAST was able to annotate approximately 150 CDSs more than Prokka. A total of 4036 CDSs and 80 RNAs genes were predicted for B. altitudinis 19RS3 genome. Among these CDSs, 2762 genes were classified into 469 functional subsystems. A total of 3954 CDSs and 67 RNAs genes were predicted for B. altitudinis T5ST4. Among these CDSs, 2750 genes were classified into 472 functional subsystems. Both genomes comprise several genes related to PGP mechanisms, such as those for the nitrogen fixation, iron acquisition and metabolism, phosphate metabolism and auxin biosynthesis. Genes responsible for flagellar motility, chemotaxis, and biofilm synthesis, which allow B. altitudinis 19RS3 and T5S-T4 to move toward plant exudates thereby facilitating adhesion to plant surfaces, in addition to genes related to volatile compounds and sporulation, were encountered. No annotation server or software has shown the ability to generate a complete annotation individually. We consider convenient to combine different strategies for the generation of a complete annotation.