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- W2940779852 abstract "Motivation: Microbial resistance to antibiotics is currently one of the greatest threats in global health. Multiple outbreaks of multiresistant Acinetobacter baumannii strains have been documented [1] and it is necessary to find new drugs against it, and thefinding of new genes in the bacteria could help in this fighting. As A. baumannii is a highly studied organism, it is difficult to findnew genes by homology with traditional predictors.For this reason we have chosen the AnABlast program which is a new bioinformatics tool which has been successful in findingout new genes in eukaryotes. This program generates profiles of accumulated alignments in query amino acid sequences usinga low-stringency BLAST strategy [2], which highlight regions with evolutionary meaning.Methods: First, we used AnAblast to locate new coding regions in the A. baumannii genome. After that we analyzed the regionsfound by AnABlast comparing them with known sequences from the GenBank database to look for the genes found in intergenicregions and we obtain a series of candidates that we need to analyze, characterize and validate.Results: We obtained nine candidates that have been characterized analyzing both its evolutionary conservation and functionannotation. Eight of them were also found in other strains of A. baumannii and one could be a gene not found until now thatneeds to be validated.Conclusions: Using the AnABlast program we have found nine possible coding regions not detected by other methods in thereference strain of A. baumannii. Although they need validation, AnAblast has proven itself useful for gene detection inprokaryotes" @default.
- W2940779852 created "2019-05-03" @default.
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- W2940779852 date "2019-03-14" @default.
- W2940779852 modified "2023-09-23" @default.
- W2940779852 title "Discovery of lost genes in the genome of Acinetobacter baumannii using Anablast" @default.
- W2940779852 hasPublicationYear "2019" @default.
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