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Gene expression analysis of primordial shoot explants collected from mature white spruce (Picea glauca) trees that differ in their responsiveness to somatic embryogenesis induction
Within a plantation of clonal somatic embryo-derived white spruce trees that belonged to four genotypes, one genotype (G6) has consistently responded for the last 16 years, to the induction of somatic embryogenesis within primordial shoot explants. Analysis of fourteen individuals within this genoty...
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Published in: | PloS one 2017-10, Vol.12 (10), p.e0185015-e0185015 |
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description | Within a plantation of clonal somatic embryo-derived white spruce trees that belonged to four genotypes, one genotype (G6) has consistently responded for the last 16 years, to the induction of somatic embryogenesis within primordial shoot explants. Analysis of fourteen individuals within this genotype subsequently revealed a group of clonal trees that were nonresponsive. This in turn provided a unique opportunity to conduct differential gene expression analysis in the absence of genotype-specific factors. Absolute qPCR was first used to expand the analysis of several genes previously identified via microarray analysis to be differentially expressed during SE induction, along with the inclusion of two nonresponsive genotypes. While this demonstrated a high level of repeatability within, and between, responsive and nonresponsive genotypes, it did not support our previous contention that an adaptive stress response plays a role in SE induction responsiveness, at least with respect to the candidate genes we analyzed. RNAseq analysis was then used to compare responsive and nonresponsive G6 primordial shoots during the somatic embryogenesis induction treatment. Although not analyzed in this study, this included samples of callus and embryonal masses previously generated from G6 explants. In addition to revealing a large number of differentially expressed genes, de novo assembly of unmapped reads was used to generate over 25,000 contigs that potentially represent previously unidentified transcripts. This included a MADS-domain gene that was found to be the most highly differentially expressed gene within responsive shoot explants during the first seven days of the induction treatment. |
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Analysis of fourteen individuals within this genotype subsequently revealed a group of clonal trees that were nonresponsive. This in turn provided a unique opportunity to conduct differential gene expression analysis in the absence of genotype-specific factors. Absolute qPCR was first used to expand the analysis of several genes previously identified via microarray analysis to be differentially expressed during SE induction, along with the inclusion of two nonresponsive genotypes. While this demonstrated a high level of repeatability within, and between, responsive and nonresponsive genotypes, it did not support our previous contention that an adaptive stress response plays a role in SE induction responsiveness, at least with respect to the candidate genes we analyzed. RNAseq analysis was then used to compare responsive and nonresponsive G6 primordial shoots during the somatic embryogenesis induction treatment. Although not analyzed in this study, this included samples of callus and embryonal masses previously generated from G6 explants. In addition to revealing a large number of differentially expressed genes, de novo assembly of unmapped reads was used to generate over 25,000 contigs that potentially represent previously unidentified transcripts. This included a MADS-domain gene that was found to be the most highly differentially expressed gene within responsive shoot explants during the first seven days of the induction treatment.</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0185015</identifier><identifier>PMID: 28968421</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>Adaptation, Physiological ; Bioinformatics ; Biology and Life Sciences ; Callus ; DNA microarrays ; Embryonic development ; Embryonic growth stage ; Embryos ; Explants ; Forestry ; Gene expression ; Gene Expression Regulation, Plant ; Genes ; Genes, Plant ; Genomes ; Genomics ; Genotypes ; Natural resources ; Physiological aspects ; Picea - embryology ; Picea - genetics ; Picea - physiology ; Picea abies ; Picea engelmannii ; Picea glauca ; Plant Shoots - metabolism ; Plantations ; Research and Analysis Methods ; Seeds - metabolism ; Sequence Analysis, RNA ; Shoots ; Somatic embryogenesis ; Spruces ; Stress, Physiological ; Trees</subject><ispartof>PloS one, 2017-10, Vol.12 (10), p.e0185015-e0185015</ispartof><rights>COPYRIGHT 2017 Public Library of Science</rights><rights>2017 Rutledge et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. 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Analysis of fourteen individuals within this genotype subsequently revealed a group of clonal trees that were nonresponsive. This in turn provided a unique opportunity to conduct differential gene expression analysis in the absence of genotype-specific factors. Absolute qPCR was first used to expand the analysis of several genes previously identified via microarray analysis to be differentially expressed during SE induction, along with the inclusion of two nonresponsive genotypes. While this demonstrated a high level of repeatability within, and between, responsive and nonresponsive genotypes, it did not support our previous contention that an adaptive stress response plays a role in SE induction responsiveness, at least with respect to the candidate genes we analyzed. RNAseq analysis was then used to compare responsive and nonresponsive G6 primordial shoots during the somatic embryogenesis induction treatment. Although not analyzed in this study, this included samples of callus and embryonal masses previously generated from G6 explants. In addition to revealing a large number of differentially expressed genes, de novo assembly of unmapped reads was used to generate over 25,000 contigs that potentially represent previously unidentified transcripts. 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Academic</collection><collection>PubMed Central (Full Participant titles)</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>PloS one</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Rutledge, R G</au><au>Stewart, D</au><au>Overton, C</au><au>Klimaszewska, K</au><au>Lin, Baochuan</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Gene expression analysis of primordial shoot explants collected from mature white spruce (Picea glauca) trees that differ in their responsiveness to somatic embryogenesis induction</atitle><jtitle>PloS one</jtitle><addtitle>PLoS One</addtitle><date>2017-10-02</date><risdate>2017</risdate><volume>12</volume><issue>10</issue><spage>e0185015</spage><epage>e0185015</epage><pages>e0185015-e0185015</pages><issn>1932-6203</issn><eissn>1932-6203</eissn><abstract>Within a plantation of clonal somatic embryo-derived white spruce trees that belonged to four genotypes, one genotype (G6) has consistently responded for the last 16 years, to the induction of somatic embryogenesis within primordial shoot explants. Analysis of fourteen individuals within this genotype subsequently revealed a group of clonal trees that were nonresponsive. This in turn provided a unique opportunity to conduct differential gene expression analysis in the absence of genotype-specific factors. Absolute qPCR was first used to expand the analysis of several genes previously identified via microarray analysis to be differentially expressed during SE induction, along with the inclusion of two nonresponsive genotypes. While this demonstrated a high level of repeatability within, and between, responsive and nonresponsive genotypes, it did not support our previous contention that an adaptive stress response plays a role in SE induction responsiveness, at least with respect to the candidate genes we analyzed. RNAseq analysis was then used to compare responsive and nonresponsive G6 primordial shoots during the somatic embryogenesis induction treatment. Although not analyzed in this study, this included samples of callus and embryonal masses previously generated from G6 explants. In addition to revealing a large number of differentially expressed genes, de novo assembly of unmapped reads was used to generate over 25,000 contigs that potentially represent previously unidentified transcripts. This included a MADS-domain gene that was found to be the most highly differentially expressed gene within responsive shoot explants during the first seven days of the induction treatment.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>28968421</pmid><doi>10.1371/journal.pone.0185015</doi><orcidid>https://orcid.org/0000-0001-7774-4655</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Adaptation, Physiological Bioinformatics Biology and Life Sciences Callus DNA microarrays Embryonic development Embryonic growth stage Embryos Explants Forestry Gene expression Gene Expression Regulation, Plant Genes Genes, Plant Genomes Genomics Genotypes Natural resources Physiological aspects Picea - embryology Picea - genetics Picea - physiology Picea abies Picea engelmannii Picea glauca Plant Shoots - metabolism Plantations Research and Analysis Methods Seeds - metabolism Sequence Analysis, RNA Shoots Somatic embryogenesis Spruces Stress, Physiological Trees |
title | Gene expression analysis of primordial shoot explants collected from mature white spruce (Picea glauca) trees that differ in their responsiveness to somatic embryogenesis induction |
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