Transcriptomic Analysis of L. Roots during the Early Infection Process
Olive cultivation is affected by a wide range of biotic constraints. Verticillium wilt of olive is one of the most devastating diseases affecting this woody crop, inflicting major economic losses in many areas, particularly within the Mediterranean Basin. Little is known about gene-expression change...
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creator | Jiménez-Ruiz, Jaime Leyva-Pérez, María de la O Schilirò, Elisabetta Barroso, Juan Bautista Bombarely, Aureliano Mueller, Lukas Mercado-Blanco, Jesús Luque, Francisco |
description | Olive cultivation is affected by a wide range of biotic constraints. Verticillium wilt of olive is one of the most devastating diseases affecting this woody crop, inflicting major economic losses in many areas, particularly within the Mediterranean Basin. Little is known about gene-expression changes during plant infection by of woody plants such as olive. A complete RNA-seq transcriptomic analysis of olive tree roots was made. Trinity assembler proved to be the best option to assemble the olive and transcriptomes. The olive transcriptome (Oleup) consisted of 68,259 unigenes (254,252 isoforms/transcripts), and the transcriptome (Vedah) consisted of 37,425 unigenes (52,119 isoforms/transcripts). Most unigenes of the Oleup transcriptome corresponded to cellular processes (12,339), metabolic processes (10,974), single-organism processes (7263), and responses to stimuli (5114). As for the Vedah transcriptome, most unigenes correspond to metabolic processes (25,372), cellular processes (23,718), localization (6385), and biological regulation (4801). Differential gene-expression analysis of both transcriptomes was made at 2 and 7 d post-infection. The induced genes of both organisms during the plant-pathogen interaction were clustered in six subclusters, depending on the expression patterns during the infection. Subclusters A to C correspond to plant genes, and subcluster D to F correspond to genes. A relevant finding was that the differentially expressed gene (DEGs) included in subclusters B and C were highly enriched in proteolysis as well as protein-folding and biosynthesis genes. In addition, a reactive oxygen species (ROS) defense was induced first in the pathogen and later in the plant roots. |
doi_str_mv | 10.3835/plantgenome2016.07.0060 |
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Little is known about gene-expression changes during plant infection by of woody plants such as olive. A complete RNA-seq transcriptomic analysis of olive tree roots was made. Trinity assembler proved to be the best option to assemble the olive and transcriptomes. The olive transcriptome (Oleup) consisted of 68,259 unigenes (254,252 isoforms/transcripts), and the transcriptome (Vedah) consisted of 37,425 unigenes (52,119 isoforms/transcripts). Most unigenes of the Oleup transcriptome corresponded to cellular processes (12,339), metabolic processes (10,974), single-organism processes (7263), and responses to stimuli (5114). As for the Vedah transcriptome, most unigenes correspond to metabolic processes (25,372), cellular processes (23,718), localization (6385), and biological regulation (4801). Differential gene-expression analysis of both transcriptomes was made at 2 and 7 d post-infection. The induced genes of both organisms during the plant-pathogen interaction were clustered in six subclusters, depending on the expression patterns during the infection. Subclusters A to C correspond to plant genes, and subcluster D to F correspond to genes. A relevant finding was that the differentially expressed gene (DEGs) included in subclusters B and C were highly enriched in proteolysis as well as protein-folding and biosynthesis genes. In addition, a reactive oxygen species (ROS) defense was induced first in the pathogen and later in the plant roots.</description><identifier>EISSN: 1940-3372</identifier><identifier>DOI: 10.3835/plantgenome2016.07.0060</identifier><identifier>PMID: 28464067</identifier><language>eng</language><publisher>United States</publisher><subject>Databases, Genetic ; Gene Expression Profiling ; Genes, Plant ; Humans ; Multigene Family ; Olea - genetics ; Olea - metabolism ; Olea - microbiology ; Plant Diseases - microbiology ; Plant Roots - genetics ; Plant Roots - metabolism ; Plant Roots - microbiology ; Reactive Oxygen Species ; RNA, Plant ; Sequence Analysis, RNA ; Transcriptome ; Verticillium - genetics ; Verticillium - metabolism</subject><ispartof>The plant genome, 2017-03, Vol.10 (1)</ispartof><rights>Copyright © 2017 Crop Science Society of America.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,864,27915,27916</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/28464067$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Jiménez-Ruiz, Jaime</creatorcontrib><creatorcontrib>Leyva-Pérez, María de la O</creatorcontrib><creatorcontrib>Schilirò, Elisabetta</creatorcontrib><creatorcontrib>Barroso, Juan Bautista</creatorcontrib><creatorcontrib>Bombarely, Aureliano</creatorcontrib><creatorcontrib>Mueller, Lukas</creatorcontrib><creatorcontrib>Mercado-Blanco, Jesús</creatorcontrib><creatorcontrib>Luque, Francisco</creatorcontrib><title>Transcriptomic Analysis of L. Roots during the Early Infection Process</title><title>The plant genome</title><addtitle>Plant Genome</addtitle><description>Olive cultivation is affected by a wide range of biotic constraints. Verticillium wilt of olive is one of the most devastating diseases affecting this woody crop, inflicting major economic losses in many areas, particularly within the Mediterranean Basin. Little is known about gene-expression changes during plant infection by of woody plants such as olive. A complete RNA-seq transcriptomic analysis of olive tree roots was made. Trinity assembler proved to be the best option to assemble the olive and transcriptomes. The olive transcriptome (Oleup) consisted of 68,259 unigenes (254,252 isoforms/transcripts), and the transcriptome (Vedah) consisted of 37,425 unigenes (52,119 isoforms/transcripts). Most unigenes of the Oleup transcriptome corresponded to cellular processes (12,339), metabolic processes (10,974), single-organism processes (7263), and responses to stimuli (5114). As for the Vedah transcriptome, most unigenes correspond to metabolic processes (25,372), cellular processes (23,718), localization (6385), and biological regulation (4801). Differential gene-expression analysis of both transcriptomes was made at 2 and 7 d post-infection. The induced genes of both organisms during the plant-pathogen interaction were clustered in six subclusters, depending on the expression patterns during the infection. Subclusters A to C correspond to plant genes, and subcluster D to F correspond to genes. A relevant finding was that the differentially expressed gene (DEGs) included in subclusters B and C were highly enriched in proteolysis as well as protein-folding and biosynthesis genes. In addition, a reactive oxygen species (ROS) defense was induced first in the pathogen and later in the plant roots.</description><subject>Databases, Genetic</subject><subject>Gene Expression Profiling</subject><subject>Genes, Plant</subject><subject>Humans</subject><subject>Multigene Family</subject><subject>Olea - genetics</subject><subject>Olea - metabolism</subject><subject>Olea - microbiology</subject><subject>Plant Diseases - microbiology</subject><subject>Plant Roots - genetics</subject><subject>Plant Roots - metabolism</subject><subject>Plant Roots - microbiology</subject><subject>Reactive Oxygen Species</subject><subject>RNA, Plant</subject><subject>Sequence Analysis, RNA</subject><subject>Transcriptome</subject><subject>Verticillium - genetics</subject><subject>Verticillium - metabolism</subject><issn>1940-3372</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2017</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNo1kE1Lw0AYhBdBbK3-Bd2jl8R3s9_HUtpaKCjSe9hsdmskycbd5NB_b8B6GhgehplB6JlAThXlr0Nr-vHs-tC5AojIQeYAAm7QkmgGGaWyWKD7lL4BuNSK3aFFoZhgIOQS7U7R9MnGZhhD11i87k17SU3CweNjjj9DGBOup9j0Zzx-Obw1sb3gQ--dHZvQ448YrEvpAd160yb3eNUVOu22p81bdnzfHzbrYzZwITNWOeqJr4q5KJdAmTcCrOeMU-2Nmg3tK-5BCF8BEOuB1spZ4RnwWtqCrtDLX-wQw8_k0lh2TbKunR9wYUolUZppooDoGX26olPVubocYtOZeCn_p9NfK_VcMg</recordid><startdate>201703</startdate><enddate>201703</enddate><creator>Jiménez-Ruiz, Jaime</creator><creator>Leyva-Pérez, María de la O</creator><creator>Schilirò, Elisabetta</creator><creator>Barroso, Juan Bautista</creator><creator>Bombarely, Aureliano</creator><creator>Mueller, Lukas</creator><creator>Mercado-Blanco, Jesús</creator><creator>Luque, Francisco</creator><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>7X8</scope></search><sort><creationdate>201703</creationdate><title>Transcriptomic Analysis of L. 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Most unigenes of the Oleup transcriptome corresponded to cellular processes (12,339), metabolic processes (10,974), single-organism processes (7263), and responses to stimuli (5114). As for the Vedah transcriptome, most unigenes correspond to metabolic processes (25,372), cellular processes (23,718), localization (6385), and biological regulation (4801). Differential gene-expression analysis of both transcriptomes was made at 2 and 7 d post-infection. The induced genes of both organisms during the plant-pathogen interaction were clustered in six subclusters, depending on the expression patterns during the infection. Subclusters A to C correspond to plant genes, and subcluster D to F correspond to genes. A relevant finding was that the differentially expressed gene (DEGs) included in subclusters B and C were highly enriched in proteolysis as well as protein-folding and biosynthesis genes. 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subjects | Databases, Genetic Gene Expression Profiling Genes, Plant Humans Multigene Family Olea - genetics Olea - metabolism Olea - microbiology Plant Diseases - microbiology Plant Roots - genetics Plant Roots - metabolism Plant Roots - microbiology Reactive Oxygen Species RNA, Plant Sequence Analysis, RNA Transcriptome Verticillium - genetics Verticillium - metabolism |
title | Transcriptomic Analysis of L. Roots during the Early Infection Process |
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