...
首页> 外文期刊>Physiology and Molecular Biology of Plants >Identification and comparative analysis of microRNAs from tomato varieties showing contrasting response to ToLCV infections
【24h】

Identification and comparative analysis of microRNAs from tomato varieties showing contrasting response to ToLCV infections

机译:番茄品种微小RNA的鉴定与对比分析,显示对比抗染色体感染对比

获取原文
获取原文并翻译 | 示例
   

获取外文期刊封面封底 >>

       

摘要

Increasing incidence of viral infections in crop plants adversely affects their growth and yield. Tomato (Solanum lycopersicum) is considered to be a favorite host for viruses with over 50 species of begomoviruses naturally infecting this crop. Tomato leaf curl virus (ToLCV) is among the most widespread and devastating begomoviruses affecting tomato production. microRNAs (miRs) have been established as key regulators of gene expression and plant development. The miR pathways are disturbed during infection by viruses. Thus, comprehension of regulatory miR networks is crucial in understanding the effect of viral pathogenicity. To identify key miRs involved in ToLCV infection, a high throughput approach involving next generation sequencing was employed. Healthy and infected leaf tissues of two tomato varieties, differing in their susceptibility to ToLCV infection were analyzed. NGS data analysis followed by computational predictions, led to identification of 91 known miRs, 15 novel homologs and 53 novel miRs covering two different varieties of tomato, susceptible (Pusa Ruby) and tolerant (LA1777) to ToLCV infection. The cleaved targets of these miRs were identified using online available degradome libraries from leaf, flower and fruit of tomato and showed their involvement in various biological pathways through KEGG Orthology. With detailed comparative profiling of expression pattern of these miRs, we could associate the specific miRs with the resistant and infected genotypes. This study depicted that in depth analysis of miR expression patterns and their functions will help in identification of molecules that can be used for manipulation of gene expression to increase crop production and developing resistance against diseases.
机译:作物病毒感染率的增加对作物的生长和产量产生不利影响。番茄(Solanum lycopersicum)被认为是病毒最喜欢的宿主,有50多种双病毒自然感染这种作物。番茄曲叶病毒(ToLCV)是影响番茄生产的最广泛和最具破坏性的双病毒之一。microRNA(miR)已被确定为基因表达和植物发育的关键调节因子。在病毒感染期间,miR途径受到干扰。因此,理解调节性miR网络对于理解病毒致病性的影响至关重要。为了确定与ToLCV感染有关的关键miR,采用了一种涉及下一代测序的高通量方法。对两个番茄品种的健康叶片组织和感染叶片组织进行了分析,这两个品种对ToLCV感染的易感性不同。通过NGS数据分析和计算预测,鉴定了91个已知的miR、15个新的同源物和53个新的miR,涵盖了两种不同的番茄品种,对ToLCV感染敏感(Pusa Ruby)和耐受(LA1777)。这些miR的切割靶点是通过在线可获得的番茄叶片、花朵和果实的degradome文库确定的,并通过KEGG正畸学显示它们参与了各种生物学途径。通过对这些miR表达模式的详细比较分析,我们可以将特异性miR与耐药和感染基因型相关联。这项研究表明,对miR表达模式及其功能的深入分析将有助于识别可用于操纵基因表达以增加作物产量和发展抗病性的分子。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号