Functional annotation and distribution overview of RNA families in 27 Streptococcus agalactiae genomes

• Autor(a) principal: Wolf, Ivan Rodrigo
• Data de Publicação: 2018
• Outros Autores: Paschoal, Alexandre Rossi, Quiroga, Cecilia, Domingues, Douglas Silva [UNESP], Souza, Rogerio Fernandes de, Pretto-Giordano, Lucienne Garcia, Vilas-Boas, Laurival Antonio
• Tipo de documento: Artigo
• Idioma: eng
• Título da fonte: Repositório Institucional da UNESP
• Texto Completo: http://dx.doi.org/10.1186/s12864-018-4951-z; http://hdl.handle.net/11449/164473
• topic: Streptococcus; Non-coding RNAs; Pan-genome; RNA families; Transcriptome

Background: Streptococcus agalactiae, also known as Group B Streptococcus (GBS), is a Gram-positive bacterium that colonizes the gastrointestinal and genitourinary tract of humans. This bacterium has also been isolated from various animals, such as fish and cattle. Non-coding RNAs (ncRNAs) can act as regulators of gene expression in bacteria, such as Streptococcus pneumoniae and Streptococcus pyogenes. However, little is known about the genomic distribution of ncRNAs and RNA families in S. agalactiae. Results: Comparative genome analysis of 27 S. agalactiae strains showed more than 5 thousand genomic regions identified and classified as Core, Exclusive, and Shared genome sequences. We identified 27 to 89 RNA families per genome distributed over these regions, from these, 25 were in Core regions while Shared and Exclusive regions showed variations amongst strains. We propose that the amount and type of ncRNA present in each genome can provide a pattern to contribute in the identification of the clonal types. Conclusions: The identification of RNA families provides an insight over ncRNAs, sRNAs and ribozymes function, that can be further explored as targets for antibiotic development or studied in gene regulation of cellular processes. RNA families could be considered as markers to determine infection capabilities of different strains. Lastly, pan-genome analysis of GBS including the full range of functional transcripts provides a broader approach in the understanding of this pathogen.