2014
DOI: 10.1093/nar/gku1072
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Islander: a database of precisely mapped genomic islands in tRNA and tmRNA genes

Abstract: Genomic islands are mobile DNAs that are major agents of bacterial and archaeal evolution. Integration into prokaryotic chromosomes usually occurs site-specifically at tRNA or tmRNA gene (together, tDNA) targets, catalyzed by tyrosine integrases. This splits the target gene, yet sequences within the island restore the disrupted gene; the regenerated target and its displaced fragment precisely mark the endpoints of the island. We applied this principle to search for islands in genomic DNA sequences. Our algorit… Show more

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Cited by 103 publications
(101 citation statements)
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References 30 publications
(35 reference statements)
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“…Nearly all currently known Acrs can be found in MGE sequences, especially phages, highlighting their use as a CRISPR counter-defense mechanism (3). Therefore, we examined the genomes of both S. schleiferi and S. haemolyticus for integrated MGEs using PHASTER (29) and Islander (30) to identify potential hotspots that might harbor Acrs. We found four predicted MGEs in S. schleiferi strain 5909-02 and eight in the contigs of the S. haemolyticus strain W_75 assembly.…”
Section: Self-targeting Screen For Acr Activitymentioning
confidence: 99%
“…Nearly all currently known Acrs can be found in MGE sequences, especially phages, highlighting their use as a CRISPR counter-defense mechanism (3). Therefore, we examined the genomes of both S. schleiferi and S. haemolyticus for integrated MGEs using PHASTER (29) and Islander (30) to identify potential hotspots that might harbor Acrs. We found four predicted MGEs in S. schleiferi strain 5909-02 and eight in the contigs of the S. haemolyticus strain W_75 assembly.…”
Section: Self-targeting Screen For Acr Activitymentioning
confidence: 99%
“…Gly-CCC were determined through Islander [13] , but the flanking DRs that were accurately localized in this research should be more reliable and are slightly different with the results of Islander.…”
Section: Gly-ccc -1 Cs1-4gimentioning
confidence: 82%
“…The results of panRGP were compared to other tools on the same reference datasets. We included tools that were found to correctly predict GIs in a recent study : Islandpath-dimob (Bertelli and Brinkman, 2018), SigiCFR (Waack et al, 2006), SigiHMM (Waack et al, 2006), Alien Hunter (Vernikos and Parkhill, 2006), PredictBias (Pundhir et al, 2008), ZislandExplorer (Wei et al, 2017) and IslandViewer4 (Bertelli et al, 2017), which combines results from Islander (Hudson et al, 2014), Islandpath-dimob, SigiHMM and IslandPick (Langille et al, 2008). In addition, three recent tools for GI detection were included in the benchmark: GI-cluster (Lu and Leong, 2018), XenoGI (Bush et al, 2018) and IslandCafe (Jani and Azad, 2019).…”
Section: Benchmark Protocolmentioning
confidence: 99%