In silico identification of chilli genome encoded MicroRNAs targeting the 16S rRNA and secA genes of "Candidatus phytoplasma trifolii".

IF 2.8 Q2 MATHEMATICAL & COMPUTATIONAL BIOLOGY
Frontiers in bioinformatics Pub Date : 2025-01-06 eCollection Date: 2024-01-01 DOI:10.3389/fbinf.2024.1493712
Vineeta Pandey, Aarshi Srivastava, Ramwant Gupta, Haitham E M Zaki, Muhammad Shafiq Shahid, Rajarshi K Gaur
{"title":"<i>In silico</i> identification of chilli genome encoded MicroRNAs targeting the 16S rRNA and <i>secA</i> genes of \"<i>Candidatus</i> phytoplasma trifolii<i>\"</i>.","authors":"Vineeta Pandey, Aarshi Srivastava, Ramwant Gupta, Haitham E M Zaki, Muhammad Shafiq Shahid, Rajarshi K Gaur","doi":"10.3389/fbinf.2024.1493712","DOIUrl":null,"url":null,"abstract":"<p><p>Phytoplasma, a potentially hazardous pathogen associated with witches' broom, is an economically harmful disease-producing bacteria that damages chilli cultivation. Phytoplasma-infected plants display various symptoms that indicate significant disruptions in normal plant physiology and behaviour. Diseases caused by phytoplasma are widespread and have a major economic impact on crop quality and yield. This work focuses on identifying and examining chilli microRNAs (miRNAs) as potential targets against the 16S rRNA and <i>secA</i> gene of \"<i>Candidatus</i> Phytoplasma trifolii\" (\"<i>Ca</i>. P. trifolii\") through plant miRNA prediction algorithms. Mature chilli miRNAs (CA-miRNAs) were collected and used to hybridise the 16S rRNA and <i>secA</i> genes. A total of four common CA-miRNAs were picked according to genetic consensus. Three algorithms applied in the present study suggested that the physiologically relevant, top-ranked miR169b_2 has a possibly specific site at nucleotide position 1,006 for targeting the '<i>Ca</i>. P. trifolii' 16S rRNA gene. The circos algorithm was then utilised to create the miRNA-mRNA regulatory network. The free energy between the miRNA:mRNA duplex was also computed, and the best value of -17.46 kcal/mol was obtained for CA-miR166c_2. Currently, there are no suitable commercial '<i>Ca</i>. P. trifolii'-resistant chilli crops. As a result, the expected biological data provide useful evidence for developing '<i>Ca</i>. P. trifolii'-resistant chilli plants.</p>","PeriodicalId":73066,"journal":{"name":"Frontiers in bioinformatics","volume":"4 ","pages":"1493712"},"PeriodicalIF":2.8000,"publicationDate":"2025-01-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11743513/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Frontiers in bioinformatics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.3389/fbinf.2024.1493712","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2024/1/1 0:00:00","PubModel":"eCollection","JCR":"Q2","JCRName":"MATHEMATICAL & COMPUTATIONAL BIOLOGY","Score":null,"Total":0}
引用次数: 0

Abstract

Phytoplasma, a potentially hazardous pathogen associated with witches' broom, is an economically harmful disease-producing bacteria that damages chilli cultivation. Phytoplasma-infected plants display various symptoms that indicate significant disruptions in normal plant physiology and behaviour. Diseases caused by phytoplasma are widespread and have a major economic impact on crop quality and yield. This work focuses on identifying and examining chilli microRNAs (miRNAs) as potential targets against the 16S rRNA and secA gene of "Candidatus Phytoplasma trifolii" ("Ca. P. trifolii") through plant miRNA prediction algorithms. Mature chilli miRNAs (CA-miRNAs) were collected and used to hybridise the 16S rRNA and secA genes. A total of four common CA-miRNAs were picked according to genetic consensus. Three algorithms applied in the present study suggested that the physiologically relevant, top-ranked miR169b_2 has a possibly specific site at nucleotide position 1,006 for targeting the 'Ca. P. trifolii' 16S rRNA gene. The circos algorithm was then utilised to create the miRNA-mRNA regulatory network. The free energy between the miRNA:mRNA duplex was also computed, and the best value of -17.46 kcal/mol was obtained for CA-miR166c_2. Currently, there are no suitable commercial 'Ca. P. trifolii'-resistant chilli crops. As a result, the expected biological data provide useful evidence for developing 'Ca. P. trifolii'-resistant chilli plants.

辣椒基因组16S rRNA和secA基因编码MicroRNAs的计算机鉴定。
植物原体是一种与“女巫扫帚”有关的潜在危险病原体,是一种对经济有害的致病细菌,会损害辣椒的种植。植物原体感染的植物表现出各种症状,表明正常的植物生理和行为受到严重破坏。植物原体引起的疾病广泛传播,对作物品质和产量产生重大经济影响。本研究的重点是通过植物miRNA预测算法,鉴定和检测辣椒microRNAs (miRNAs)作为“Candidatus Phytoplasma trifolii”(“Ca. P. trifolii”)16S rRNA和secA基因的潜在靶点。收集辣椒成熟miRNAs (CA-miRNAs),用于16S rRNA和secA基因的杂交。根据遗传共识,共选择了四种常见的ca - mirna。本研究中应用的三种算法表明,在生理上相关的、排名靠前的miR169b_2在核苷酸位置1006上可能有一个靶向“Ca. P. trifolii”16S rRNA基因的特定位点。然后利用circos算法创建miRNA-mRNA调控网络。计算了miRNA:mRNA双链间的自由能,CA-miR166c_2的最佳自由能为-17.46 kcal/mol。目前,还没有合适的抗“三斑螟”的商业辣椒作物。结果表明,本研究得到的生物学数据为培育抗三斑卡虫辣椒品种提供了有益的依据。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
CiteScore
2.60
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信