Identification and Characterization of Downy Mildew-Responsive microRNAs in Indian <i>Vitis vinifera</i> by High-Throughput Sequencing

Downy mildew (DM) is one of the most devastating diseases disturbing viticulture, mainly during temperate and humid climates. The DM pathogen can attack grapevine leaves and berries differentially, and the disease is managed with recurring applications of fungicides that direct pathogen pressure, de...

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Autores principales: Milan V. Kamble, Abhishek B. Shahapurkar, Shivakantkumar Adhikari, Nagaraja Geetha, Asad Syed, Bilal Ahmed, Sudisha Jogaiah
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Publicado: MDPI AG 2021
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Acceso en línea:https://doaj.org/article/5ceb4d20259f457394fe6230d26a3f32
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spelling oai:doaj.org-article:5ceb4d20259f457394fe6230d26a3f322021-11-25T18:05:33ZIdentification and Characterization of Downy Mildew-Responsive microRNAs in Indian <i>Vitis vinifera</i> by High-Throughput Sequencing10.3390/jof71108992309-608Xhttps://doaj.org/article/5ceb4d20259f457394fe6230d26a3f322021-10-01T00:00:00Zhttps://www.mdpi.com/2309-608X/7/11/899https://doaj.org/toc/2309-608XDowny mildew (DM) is one of the most devastating diseases disturbing viticulture, mainly during temperate and humid climates. The DM pathogen can attack grapevine leaves and berries differentially, and the disease is managed with recurring applications of fungicides that direct pathogen pressure, develop of resistant strains, and lead to residual soil toxicity and increased pollution effects. Plant microRNAs (miRNAs) are important candidates in physiological regulatory roles in response to biotic stress in plants. In this study, high-throughput sequencing and MiRDeep-P were employed to identify miRNAs in <i>Vitis vinifera</i>. Altogether, 22,492,910, 25,476,471, and 22,448,438 clean reads from the sterile distilled water (SDW)-control, bio-pesticide <i>Trichoderma harzianum</i> (TriH_JSB36)-treated, and downy mildew <i>Plasmopara viticola</i> pathogen libraries, respectively, were obtained. On the basis of the sequencing results and analysis (differential expression analysis), we observed significant differences in 15 miRNAs (5 novel upregulated, and 10 known downregulated) in the pathogen-infected sample (Test) in comparison to the SDW-control sample, with majority of the reads beingin the range of 20–24 bp. This study involves the identification and characterization of vvi-miRNAs that are involved in resistance against downy mildew disease in grapes.Milan V. KambleAbhishek B. ShahapurkarShivakantkumar AdhikariNagaraja GeethaAsad SyedBilal AhmedSudisha JogaiahMDPI AGarticlegrapevine<i>Vitis vinifera</i>downy mildew<i>Plasmopara viticola</i>microRNAqRT-PCRBiology (General)QH301-705.5ENJournal of Fungi, Vol 7, Iss 899, p 899 (2021)
institution DOAJ
collection DOAJ
language EN
topic grapevine
<i>Vitis vinifera</i>
downy mildew
<i>Plasmopara viticola</i>
microRNA
qRT-PCR
Biology (General)
QH301-705.5
spellingShingle grapevine
<i>Vitis vinifera</i>
downy mildew
<i>Plasmopara viticola</i>
microRNA
qRT-PCR
Biology (General)
QH301-705.5
Milan V. Kamble
Abhishek B. Shahapurkar
Shivakantkumar Adhikari
Nagaraja Geetha
Asad Syed
Bilal Ahmed
Sudisha Jogaiah
Identification and Characterization of Downy Mildew-Responsive microRNAs in Indian <i>Vitis vinifera</i> by High-Throughput Sequencing
description Downy mildew (DM) is one of the most devastating diseases disturbing viticulture, mainly during temperate and humid climates. The DM pathogen can attack grapevine leaves and berries differentially, and the disease is managed with recurring applications of fungicides that direct pathogen pressure, develop of resistant strains, and lead to residual soil toxicity and increased pollution effects. Plant microRNAs (miRNAs) are important candidates in physiological regulatory roles in response to biotic stress in plants. In this study, high-throughput sequencing and MiRDeep-P were employed to identify miRNAs in <i>Vitis vinifera</i>. Altogether, 22,492,910, 25,476,471, and 22,448,438 clean reads from the sterile distilled water (SDW)-control, bio-pesticide <i>Trichoderma harzianum</i> (TriH_JSB36)-treated, and downy mildew <i>Plasmopara viticola</i> pathogen libraries, respectively, were obtained. On the basis of the sequencing results and analysis (differential expression analysis), we observed significant differences in 15 miRNAs (5 novel upregulated, and 10 known downregulated) in the pathogen-infected sample (Test) in comparison to the SDW-control sample, with majority of the reads beingin the range of 20–24 bp. This study involves the identification and characterization of vvi-miRNAs that are involved in resistance against downy mildew disease in grapes.
format article
author Milan V. Kamble
Abhishek B. Shahapurkar
Shivakantkumar Adhikari
Nagaraja Geetha
Asad Syed
Bilal Ahmed
Sudisha Jogaiah
author_facet Milan V. Kamble
Abhishek B. Shahapurkar
Shivakantkumar Adhikari
Nagaraja Geetha
Asad Syed
Bilal Ahmed
Sudisha Jogaiah
author_sort Milan V. Kamble
title Identification and Characterization of Downy Mildew-Responsive microRNAs in Indian <i>Vitis vinifera</i> by High-Throughput Sequencing
title_short Identification and Characterization of Downy Mildew-Responsive microRNAs in Indian <i>Vitis vinifera</i> by High-Throughput Sequencing
title_full Identification and Characterization of Downy Mildew-Responsive microRNAs in Indian <i>Vitis vinifera</i> by High-Throughput Sequencing
title_fullStr Identification and Characterization of Downy Mildew-Responsive microRNAs in Indian <i>Vitis vinifera</i> by High-Throughput Sequencing
title_full_unstemmed Identification and Characterization of Downy Mildew-Responsive microRNAs in Indian <i>Vitis vinifera</i> by High-Throughput Sequencing
title_sort identification and characterization of downy mildew-responsive micrornas in indian <i>vitis vinifera</i> by high-throughput sequencing
publisher MDPI AG
publishDate 2021
url https://doaj.org/article/5ceb4d20259f457394fe6230d26a3f32
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