Search bioRxivSearch

Biology subjects

Ghita, I. C.

Publications and source records attributed to Ghita, I. C..

2 recordsLinked to original sources

Genome ARTIST_v2 software - a support for annotation of class II natural transposons in new sequenced genomes

Transposon annotation is a very dynamic field of genomics and various tools assigned to support this bioinformatics endeavor were reported. Genome ARTIST (GA) software was initially developed for mapping artificial transposons mobilized during insertional mutagenesis projects. Now, the new functions of GA_v2 qualify it as an effective companion for mapping and annotation of class II natural transposons in assembled genomes, contigs or sequencing reads. Tabular export of mapping and annotation data for subsequent high-throughput data analysis, the export of a list of flanking sequences around either the coordinates of insertion or around the target site duplications (TSDs) and generation of a consensus sequence for the respective flanking sequences are all key assets of GA_v2. Additionally, we developed two accompanying short scripts that enable the user to annotate transposons existent in assembled genomes and to use various annotation offered by FlyBase for Drosophila melanogaster genome. Herein, we present the applicability of GA_v2 for a preliminary annotation of the class II transposon P-element in the genome of D. melanogaster strain Horezu, Romania, which was sequenced with Nanopore technology in our laboratory. Our results point that GA_v2 is a reliable tool to be integrated in pipelines designed to perform transposon annotation in new sequenced genomes. GA_v2 is open source software compatible with Ubuntu, Mac OS and Windows and is available at https://github.com/genomeartist/genomeartist and at www.genomeartist.ro.

bioinformatics

Insertions of P{lacW} and P{EP} artificial transposons on the chromosomal divisions of Drosophila melanogaster are not randomly distributed

Herein we describe the distribution of P{lacW} and P{EP} artificial transposons in the genome of Drosophila melanogaster. A total number of 5,560 P{lacW} and 3,786 P{EP} insertions available on FlyBase were extracted from this database and ordered according to the chromosomal regions they hit. Comparative bioinformatics analysis revealed that the insertions patterns are similar for P{lacW} and P{EP}. The two patterns are significantly correlated for chromosomes X, 2L, 2R and 3L, but not for 3R.\n\nFourier analysis revealed a periodic behaviour in the distribution of insertions, which approximates insertional hotspots. Our results raise questions concerning if and how the local chromosomal landscape affects the insertion patterns of different but related transposons.

genomics