{"title":"FishPi:连接斑马鱼 piRNA 和转座元件的生物信息学预测工具","authors":"Alice May Godden, Benjamin Rix, Simone Immler","doi":"10.1101/2024.09.10.612046","DOIUrl":null,"url":null,"abstract":"Background: Piwi-interacting RNAs (piRNA)s are non-coding small RNAs that post-transcriptionally affect gene expression and regulation. Through complementary seed region binding with transposable elements (TEs), piRNAs protect the genome from transposition, and therefore a tool to link piRNAs with complementary TE targets is needed. Tools like TEsmall can process sRNA-seq datasets to produce differentially expressed piRNAs and piRScan developed for nematodes can link piRNAs and TEs but it requires the user to know the target region of interest and work backwards. Results: We have therefore developed FishPi to predict the pairings between piRNA and TEs. FishPi works with individual piRNAs or a list of piRNA sequences in fasta format. The software focuses on the piRNA:TE seed region and analyses reference TEs for piRNA complementarity. TE type is examined, counted and stored to a dictionary, with genomic loci recorded. Any updates to piRNA-TE binding rules, can easily be incorporated by updating the code underlying FishPi. FishPi provides a graphic interface, using tkinter, that requires the user to input piRNA sequences to generate comprehensive reports on piRNA:TE dynamics. FishPi can easily be adapted to other genomes opening the interpretation of piRNA functionality to a wide community. Conclusions: Users will gain insight into genome age and FishPi will help further our understanding of the biological role of piRNAs and their interaction with TEs in a similar way that public databases have improved the access to and the understanding of the role of small RNAs.","PeriodicalId":501183,"journal":{"name":"bioRxiv - Evolutionary Biology","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2024-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"FishPi: a bioinformatic prediction tool to link piRNA and transposable elements in zebrafish\",\"authors\":\"Alice May Godden, Benjamin Rix, Simone Immler\",\"doi\":\"10.1101/2024.09.10.612046\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Background: Piwi-interacting RNAs (piRNA)s are non-coding small RNAs that post-transcriptionally affect gene expression and regulation. Through complementary seed region binding with transposable elements (TEs), piRNAs protect the genome from transposition, and therefore a tool to link piRNAs with complementary TE targets is needed. Tools like TEsmall can process sRNA-seq datasets to produce differentially expressed piRNAs and piRScan developed for nematodes can link piRNAs and TEs but it requires the user to know the target region of interest and work backwards. Results: We have therefore developed FishPi to predict the pairings between piRNA and TEs. FishPi works with individual piRNAs or a list of piRNA sequences in fasta format. The software focuses on the piRNA:TE seed region and analyses reference TEs for piRNA complementarity. TE type is examined, counted and stored to a dictionary, with genomic loci recorded. Any updates to piRNA-TE binding rules, can easily be incorporated by updating the code underlying FishPi. FishPi provides a graphic interface, using tkinter, that requires the user to input piRNA sequences to generate comprehensive reports on piRNA:TE dynamics. FishPi can easily be adapted to other genomes opening the interpretation of piRNA functionality to a wide community. Conclusions: Users will gain insight into genome age and FishPi will help further our understanding of the biological role of piRNAs and their interaction with TEs in a similar way that public databases have improved the access to and the understanding of the role of small RNAs.\",\"PeriodicalId\":501183,\"journal\":{\"name\":\"bioRxiv - Evolutionary Biology\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-09-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"bioRxiv - Evolutionary Biology\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1101/2024.09.10.612046\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"bioRxiv - Evolutionary Biology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1101/2024.09.10.612046","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
摘要
背景:Piwi-interacting RNA(piRNA)是一种非编码小 RNA,可在转录后影响基因表达和调控。通过与转座元件(TE)的互补种子区结合,piRNA 保护基因组不被转座,因此需要一种工具将 piRNA 与互补的 TE 靶标联系起来。TEsmall等工具可以处理sRNA-seq数据集,生成差异表达的piRNA,为线虫开发的piRScan可以将piRNA与TE连接起来,但它要求用户知道感兴趣的目标区域并进行逆向研究。结果:因此,我们开发了 FishPi 来预测 piRNA 和 TE 之间的配对。FishPi 可处理单个 piRNA 或 fasta 格式的 piRNA 序列列表。该软件侧重于 piRNA:TE 种子区域,并分析 piRNA 互补性的参考 TE。对 TE 类型进行检查、计数并存储到字典中,同时记录基因组位点。任何 piRNA-TE 结合规则的更新都可以通过更新 FishPi 的底层代码轻松实现。FishPi 使用 tkinter 提供图形界面,用户只需输入 piRNA 序列,就能生成 piRNA:TE 动态的综合报告。FishPi 可以很容易地适用于其他基因组,为广大用户提供 piRNA 功能的解释。结论:用户将深入了解基因组年龄,FishPi 将帮助我们进一步了解 piRNA 的生物学作用及其与 TE 的相互作用,就像公共数据库改善了对小 RNA 作用的访问和了解一样。
FishPi: a bioinformatic prediction tool to link piRNA and transposable elements in zebrafish
Background: Piwi-interacting RNAs (piRNA)s are non-coding small RNAs that post-transcriptionally affect gene expression and regulation. Through complementary seed region binding with transposable elements (TEs), piRNAs protect the genome from transposition, and therefore a tool to link piRNAs with complementary TE targets is needed. Tools like TEsmall can process sRNA-seq datasets to produce differentially expressed piRNAs and piRScan developed for nematodes can link piRNAs and TEs but it requires the user to know the target region of interest and work backwards. Results: We have therefore developed FishPi to predict the pairings between piRNA and TEs. FishPi works with individual piRNAs or a list of piRNA sequences in fasta format. The software focuses on the piRNA:TE seed region and analyses reference TEs for piRNA complementarity. TE type is examined, counted and stored to a dictionary, with genomic loci recorded. Any updates to piRNA-TE binding rules, can easily be incorporated by updating the code underlying FishPi. FishPi provides a graphic interface, using tkinter, that requires the user to input piRNA sequences to generate comprehensive reports on piRNA:TE dynamics. FishPi can easily be adapted to other genomes opening the interpretation of piRNA functionality to a wide community. Conclusions: Users will gain insight into genome age and FishPi will help further our understanding of the biological role of piRNAs and their interaction with TEs in a similar way that public databases have improved the access to and the understanding of the role of small RNAs.