Novel MicroRNAs and their Functional Targets from Phytophthora infestans and Phytophthora cinnamomi.

IF 1.8 4区 生物学 Q4 BIOCHEMISTRY & MOLECULAR BIOLOGY
Binta Varghese, Ravisankar Valsalan, Deepu Mathew
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引用次数: 0

Abstract

Background: Even though miRNAs play vital roles in developmental biology by regulating the translation of mRNAs, they are poorly studied in oomycetes, especially in the plant pathogen Phytophthora.

Objective: The study aimed to predict and identify the putative miRNAs and their targets in Phytophthora infestans and Phytophthora cinnamomi.

Methods: The homology-based comparative method was used to identify the unique miRNA sequences in P. infestans and P. cinnamomi with 148,689 EST and TSA sequences of these species. Secondary structure prediction of sRNAs for the 76 resultant sequences has been performed with the MFOLD tool, and their targets were predicted using psRNATarget.

Results: Novel miRNAs, miR-8210 and miR-4968, were predicted from P. infestans and P. cinnamomi, respectively, along with their structural features. The newly identified miRNAs were identified to play important roles in gene regulation, with few of their target genes predicted as transcription factors, tumor suppressor genes, stress-responsive genes, DNA repair genes, etc.

Conclusion: The miRNAs and their targets identified have opened new interference and editing targets for the development of Phytophthora resistant crop varieties.

Abstract Image

Abstract Image

Abstract Image

来自疫霉和肉桂疫霉的新型microrna及其功能靶点。
背景:尽管mirna通过调节mrna的翻译在发育生物学中起着至关重要的作用,但它们在卵菌中的研究很少,特别是在植物病原体疫霉中。目的:预测和鉴定疫霉菌和肉桂疫霉菌中可能存在的mirna及其靶点。方法:采用同源性比较的方法,利用14万8689条EST和TSA序列,鉴定出感染假单胞菌和肉桂假单胞菌的独特miRNA序列。使用MFOLD工具对76个结果序列的srna进行二级结构预测,并使用psRNATarget预测它们的靶标。结果:分别从P. infestans和P. cinnamomi中预测到新的mirna miR-8210和miR-4968,以及它们的结构特征。新发现的mirna在基因调控中发挥着重要作用,其靶基因很少被预测为转录因子、肿瘤抑制基因、应激反应基因、DNA修复基因等。结论:新发现的mirna及其靶点为培育抗疫作物品种开辟了新的干扰和编辑靶点。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Current Genomics
Current Genomics 生物-生化与分子生物学
CiteScore
5.20
自引率
0.00%
发文量
29
审稿时长
>0 weeks
期刊介绍: Current Genomics is a peer-reviewed journal that provides essential reading about the latest and most important developments in genome science and related fields of research. Systems biology, systems modeling, machine learning, network inference, bioinformatics, computational biology, epigenetics, single cell genomics, extracellular vesicles, quantitative biology, and synthetic biology for the study of evolution, development, maintenance, aging and that of human health, human diseases, clinical genomics and precision medicine are topics of particular interest. The journal covers plant genomics. The journal will not consider articles dealing with breeding and livestock. Current Genomics publishes three types of articles including: i) Research papers from internationally-recognized experts reporting on new and original data generated at the genome scale level. Position papers dealing with new or challenging methodological approaches, whether experimental or mathematical, are greatly welcome in this section. ii) Authoritative and comprehensive full-length or mini reviews from widely recognized experts, covering the latest developments in genome science and related fields of research such as systems biology, statistics and machine learning, quantitative biology, and precision medicine. Proposals for mini-hot topics (2-3 review papers) and full hot topics (6-8 review papers) guest edited by internationally-recognized experts are welcome in this section. Hot topic proposals should not contain original data and they should contain articles originating from at least 2 different countries. iii) Opinion papers from internationally recognized experts addressing contemporary questions and issues in the field of genome science and systems biology and basic and clinical research practices.
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