Vineeta Pandey, Aarshi Srivastava, Ramwant Gupta, Haitham E M Zaki, Muhammad Shafiq Shahid, Rajarshi K Gaur
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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>. 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引用次数: 0
摘要
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。
In silico identification of chilli genome encoded MicroRNAs targeting the 16S rRNA and secA genes of "Candidatus phytoplasma trifolii".
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.