Pianezza Riccardo, Haider Anna, Kofler Robert
Institut für Populationsgenetik, Vetmeduni Vienna, Veterinärplatz 1, 1210, Vienna, Austria.
Vienna Graduate School of Population Genetics, Vetmeduni Vienna, Vienna, Austria.
Genome Biol. 2024 Dec 18;25(1):315. doi: 10.1186/s13059-024-03459-5.
We present GenomeDelta, a novel tool for identifying sample-specific sequences, such as recent transposable element (TE) invasions, without requiring a repeat library. GenomeDelta compares high-quality assemblies with short-read data to detect sequences absent from the short reads. It is applicable to both model and non-model organisms and can identify recent TE invasions, spatially heterogeneous sequences, viral insertions, and hotizontal gene transfers. GenomeDelta was validated with simulated and real data and used to discover three recent TE invasions in Drosophila melanogaster and a novel TE with geographic variation in Zymoseptoria tritici.
我们展示了GenomeDelta,这是一种用于识别样本特异性序列(如近期转座元件(TE)入侵)的新型工具,无需重复序列库。GenomeDelta将高质量组装序列与短读长数据进行比较,以检测短读长中不存在的序列。它适用于模式生物和非模式生物,可识别近期的TE入侵、空间异质序列、病毒插入和水平基因转移。GenomeDelta通过模拟数据和真实数据进行了验证,并用于发现黑腹果蝇中近期的三次TE入侵以及小麦黄斑叶枯病菌中一种具有地理变异的新型TE。