| Congresso Brasileiro de Microbiologia 2023 | Resumo: 901-1 | ||||
Resumo:Microbial communities are described from the taxonomic attribution of 16S rRNA-encoding gene sequences through comparison with databases such as SILVA, Greengenes and RDP. Divergences between taxonomic results obtained from different databases can influence the characterization of microbial communities. Thus, this study aimed to develop a method to increase the confidence of taxonomic annotation results by dividing the taxonomic results obtained through different databases into (i) congruent (when the same taxonomic classification is obtained by the use of different databases) and (ii) incongruent (divergent taxonomic classification is obtained by the use of different databases) results. Therefore, only congruent results between different databases represent reliable taxonomic identifications. To achieve this aim, 16S rRNA-encoding gene sequences obtained from (i) Vermelha Lagoon (LV), (ii) Massambaba Beach (PM) and (iii) Jacarepiá Lagoon (LJ) were grouped into number-coded ASVs. Furthermore, each of these ASVs was taxonomically classified by SILVA, Greengenes and RDP. The generated data obtained from each ASV were compared to assess the communities of (i) archaea and (ii) bacteria obtained through SILVA, Greengenes and RDP database classifications. Regarding archaea, our results showed that the fraction of ASVs with congruent results between Greengenes, SILVA and RDP at the phylum level ranged from 3.33% in LJ to 83.89% in PM. At the genus level, the percentage of congruent results ranged from 0.34% in LJ to 16.70% in PM. Concerning the analysis of ASVs related to bacteria, the fraction of congruent ASVs at the phylum level ranged from 77.47% in LJ to 78.90% in LV. However, in all cases, less than 1% of the ASVs showed congruent results for the three databases at the hierarchical levels of order, family and genus. The results obtained in this study showed that there are low congruences between archaeal and bacterial results obtained using different taxonomic databases. However, although the congruent results represent the smallest fraction of the microbial community description data, this result is reproducible regardless of the chosen database. Therefore, this study presents a methodology that can be used in the future to develop a bioinformatics tool for the separation of reliable taxonomic annotations. Palavras-chave: taxonomic annotation, databases, microbial identification, bioinformatics, 16S rRNA encoding gene Agência de fomento:Coordenação de Aperfeiçoamento de Pessoal de Nível Superior | |||||