TE Density: a tool to investigate the biology of transposable elements

被引:3
|
作者
Teresi, Scott J. [1 ,2 ]
Teresi, Michael B.
Edger, Patrick P. [1 ,2 ]
机构
[1] Michigan State Univ, Dept Hort, E Lansing, MI 48824 USA
[2] Michigan State Univ, Genet & Genome Sci Program, E Lansing, MI USA
基金
美国国家科学基金会;
关键词
Transposable Elements; Genomics; Genome Evolution; Bioinformatics; !text type='Python']Python[!/text; GENE DISRUPTION PROJECT; DNA METHYLATION; GENOME; EVOLUTION; RETROTRANSPOSONS; INSERTIONS; EXPRESSION; SEQUENCE; CLASSIFICATION; REARRANGEMENT;
D O I
10.1186/s13100-022-00264-4
中图分类号
Q3 [遗传学];
学科分类号
071007 ; 090102 ;
摘要
Background: Transposable elements (TEs) are powerful creators of genotypic and phenotypic diversity due to their inherent mutagenic capabilities and in this way they serve as a deep reservoir of sequences for genomic variation. As agents of genetic disruption, a TE's potential to impact phenotype is partially a factor of its location in the genome. Previous research has shown TEs' ability to impact the expression of neighboring genes, however our understanding of this trend is hampered by the exceptional amount of diversity in the TE world, and a lack of publicly available computational methods that quantify the presence of TEs relative to genes. Results: Here, we have developed a tool to more easily quantify TE presence relative to genes through the use of only a gene and TE annotation, yielding a new metric we call TE Density. Briefly defined as the proportion of TE-occupied base-pairs relative to a window-size of the genome. This new pipeline reports TE density for each gene in the genome, for each type descriptor of TE (order and superfamily), and for multiple positions and distances relative to the gene (upstream, intragenic, and downstream) over sliding, user-defined windows. In this way, we overcome previous limitations to the study of TE-gene relationships by focusing on a// TE types present in the genome, utilizing flexible genomic distances for measurement, and reporting a TE presence metric for every gene in the genome. Conclusions: Together, this new tool opens up new avenues for studying TE-gene relationships, genome architecture, comparative genomics, and the tremendous diversity present of the TE world. TE Density is open-source and freely available at: https://github.com/sjteresi/TE_Density.
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页数:18
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