Suppr超能文献

一种用于鉴定具有减轻棉花曲叶柯塔病毒感染潜力的棉花宿主植物微小RNA的综合计算方法。

An Integrative Computational Approach for Identifying Cotton Host Plant MicroRNAs with Potential to Abate CLCuKoV-Bur Infection.

作者信息

Ashraf Muhammad Aleem, Shahid Imran, Brown Judith K, Yu Naitong

机构信息

Institute of Tropical Biosciences and Biotechnology, Chinese Academy of Tropical Agricultural Sciences, Haikou 571101, China.

Department of Biosciences and Technology, Emerson University, Multan 60000, Pakistan.

出版信息

Viruses. 2025 Mar 12;17(3):399. doi: 10.3390/v17030399.

Abstract

-Burewala (CLCuKoV-Bur) has a circular single-stranded ssDNA genome of 2759 nucleotides in length and belongs to the genus (family, ). CLCuKoV-Bur causes cotton leaf curl disease (CLCuD) and is transmitted by the whitefly cryptic species. Monopartite begomoviruses encode five open reading frames (ORFs). CLCuKoV-Bur replicates through a dsDNA intermediate. Five open reading frames (ORFs) are organized in the small circular, single-stranded (ss)-DNA genome of CLCuKoV-Bur (2759 bases). RNA interference (RNAi) is a naturally occurring process that has revolutionized the targeting of gene regulation in eukaryotic organisms to combat virus infection. The aim of this study was to elucidate the potential binding attractions of cotton-genome-encoded microRNAs (-microRNAs, ghr-miRNAs) on CLCuKoV-Bur ssDNA-encoded mRNAs using online bioinformatics target prediction tools, RNA22, psRNATarget, RNAhybrid, and TAPIR. Using this suite of robust algorithms, the predicted repertoire of the cotton microRNA-binding landscape was determined for a CLCuKoV-Bur consensus genome sequence. Previously experimentally validated cotton ( L.) miRNAs ( = 80) were selected from a public repository miRNA registry miRBase (v22) and hybridized in silico into the CLCuKoV-Bur genome (AM421522) coding and non-coding sequences. Of the 80 ghr-miRNAs interrogated, 18 ghr-miRNAs were identified by two to four algorithms evaluated. Among them, the ghr-miR399d (accession no. MIMAT0014350), located at coordinate 1747 in the CLCuKoV-Bur genome, was predicted by a consensus or "union" of all four algorithms and represents an optimal target for designing an artificial microRNA (amiRNA) silencing construct for in planta expression. Based on all robust predictions, an in silico ghr-miRNA-regulatory network was developed for CLCuKoV-Bur ORFs using Circos software version 0.6. These results represent the first predictions of ghr-miRNAs with the therapeutic potential for developing CLCuD resistance in upland cotton plants.

摘要
  • 布勒瓦拉病毒(CLCuKoV-Bur)拥有一个长度为2759个核苷酸的环状单链ssDNA基因组,属于菜豆金色花叶病毒属(双生病毒科,菜豆金色花叶病毒属)。CLCuKoV-Bur引发棉花卷叶病(CLCuD),并由烟粉虱的隐秘物种传播。单分体双生病毒编码五个开放阅读框(ORF)。CLCuKoV-Bur通过双链DNA中间体进行复制。五个开放阅读框(ORF)排列在CLCuKoV-Bur的小环状单链(ss)-DNA基因组(2759个碱基)中。RNA干扰(RNAi)是一种自然发生的过程,它彻底改变了真核生物中针对基因调控以对抗病毒感染的方式。本研究的目的是使用在线生物信息学靶标预测工具RNA22、psRNATarget、RNAhybrid和TAPIR,阐明棉花基因组编码的微小RNA(-微小RNA,ghr-miRNA)与CLCuKoV-Bur ssDNA编码的mRNA之间潜在的结合吸引力。使用这套强大的算法,针对CLCuKoV-Bur共有基因组序列确定了棉花微小RNA结合图谱的预测库。从公共数据库miRNA登记处miRBase(v22)中选择先前经过实验验证的棉花(陆地棉)微小RNA(n = 80),并在计算机上与CLCuKoV-Bur基因组(AM421522)的编码和非编码序列进行杂交。在检测的80个ghr-miRNA中,有18个ghr-miRNA被两种至四种评估算法鉴定出来。其中,位于CLCuKoV-Bur基因组坐标1747处的ghr-miR399d(登录号MIMAT0014350)被所有四种算法的共识或“联合”预测到,代表了设计用于植物体内表达的人工微小RNA(amiRNA)沉默构建体的最佳靶标。基于所有可靠预测,使用Circos软件版本0.6为CLCuKoV-Bur的ORF构建了一个计算机上的ghr-miRNA调控网络。这些结果代表了对具有在陆地棉植株中开发抗CLCuD治疗潜力的ghr-miRNA的首次预测。
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aa88/11945813/c866415b5330/viruses-17-00399-g001.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验