Loading…

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...

Full description

Saved in:
Bibliographic Details
Published in:PloS one 2017-10, Vol.12 (10), p.e0185015-e0185015
Main Authors: Rutledge, R G, Stewart, D, Overton, C, Klimaszewska, K
Format: Article
Language:English
Subjects:
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
cited_by cdi_FETCH-LOGICAL-c593t-4c2d18bba83a4bd91f8c3d60cbe54240c5983baf9874d7ad6dc9cda14cfd9e533
cites cdi_FETCH-LOGICAL-c593t-4c2d18bba83a4bd91f8c3d60cbe54240c5983baf9874d7ad6dc9cda14cfd9e533
container_end_page e0185015
container_issue 10
container_start_page e0185015
container_title PloS one
container_volume 12
creator Rutledge, R G
Stewart, D
Overton, C
Klimaszewska, K
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.
doi_str_mv 10.1371/journal.pone.0185015
format article
fullrecord <record><control><sourceid>gale_plos_</sourceid><recordid>TN_cdi_plos_journals_1945730071</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><galeid>A507748784</galeid><doaj_id>oai_doaj_org_article_a423e9437ed64703bfaeaa3774ffa469</doaj_id><sourcerecordid>A507748784</sourcerecordid><originalsourceid>FETCH-LOGICAL-c593t-4c2d18bba83a4bd91f8c3d60cbe54240c5983baf9874d7ad6dc9cda14cfd9e533</originalsourceid><addsrcrecordid>eNptUsFu1DAQjRCIlsIfILDEpRx2sWMncS6VqgpKpUpwgLM1sce7XiXxYjuF_hcfiNPdVl1U5ZBk_ObNe-NXFG8ZXTLesE8bP4UR-uXWj7ikTFaUVc-KY9byclGXlD9_9H1UvIpxQ2nFZV2_LI5K2dZSlOy4-HuJIxL8sw0Yo_Mjgcx5G10k3pJtcIMPxkFP4tr7NON6GFMk2vc96oSG2OAHMkCaApLfa5eQxG2YNJLT704jkFUPk4aPJAXESNIaEjHOWgzEjfkXXSB5dDYR3U2WEjPGk-gzo9MEhy7c-tVcz4rcaCadssjXxQsLfcQ3-_dJ8fPL5x8XXxfX3y6vLs6vF7pqeVoIXRomuw4kB9GZllmpuamp7rASpaAZJXkHtpWNMA2Y2uhWG2BCW9NixflJ8X7Hu-19VPuFR8VaUTWc0oZlxNUOYTxs1LwvCLfKg1N3BR9WCkJ20qMCUXJsBW_Q1KKhvLOAALxphLUg6jZzne2nTd2ARuOYAvQHpIcno1urlb9RVV2KSs5yT_cEwf-aMCY1uKixz1eGfrrTXWcRjIsM_fAf9Gl3e9QKsgE3Wp_n6plUnVc0K5eNnLmWT6DyY3BwOqfTulw_aBC7Bh18jAHtg0dG1ZztezFqzrbaZzu3vXu8n4em-zDzf3Py_M0</addsrcrecordid><sourcetype>Open Website</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1945730071</pqid></control><display><type>article</type><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</title><source>PubMed Central Free</source><source>Publicly Available Content Database</source><creator>Rutledge, R G ; Stewart, D ; Overton, C ; Klimaszewska, K</creator><contributor>Lin, Baochuan</contributor><creatorcontrib>Rutledge, R G ; Stewart, D ; Overton, C ; Klimaszewska, K ; Lin, Baochuan</creatorcontrib><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.</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. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>2017 Rutledge et al 2017 Rutledge et al</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c593t-4c2d18bba83a4bd91f8c3d60cbe54240c5983baf9874d7ad6dc9cda14cfd9e533</citedby><cites>FETCH-LOGICAL-c593t-4c2d18bba83a4bd91f8c3d60cbe54240c5983baf9874d7ad6dc9cda14cfd9e533</cites><orcidid>0000-0001-7774-4655</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.proquest.com/docview/1945730071/fulltextPDF?pq-origsite=primo$$EPDF$$P50$$Gproquest$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/1945730071?pq-origsite=primo$$EHTML$$P50$$Gproquest$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,885,25753,27924,27925,37012,37013,44590,53791,53793,75126</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/28968421$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><contributor>Lin, Baochuan</contributor><creatorcontrib>Rutledge, R G</creatorcontrib><creatorcontrib>Stewart, D</creatorcontrib><creatorcontrib>Overton, C</creatorcontrib><creatorcontrib>Klimaszewska, K</creatorcontrib><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</title><title>PloS one</title><addtitle>PLoS One</addtitle><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.</description><subject>Adaptation, Physiological</subject><subject>Bioinformatics</subject><subject>Biology and Life Sciences</subject><subject>Callus</subject><subject>DNA microarrays</subject><subject>Embryonic development</subject><subject>Embryonic growth stage</subject><subject>Embryos</subject><subject>Explants</subject><subject>Forestry</subject><subject>Gene expression</subject><subject>Gene Expression Regulation, Plant</subject><subject>Genes</subject><subject>Genes, Plant</subject><subject>Genomes</subject><subject>Genomics</subject><subject>Genotypes</subject><subject>Natural resources</subject><subject>Physiological aspects</subject><subject>Picea - embryology</subject><subject>Picea - genetics</subject><subject>Picea - physiology</subject><subject>Picea abies</subject><subject>Picea engelmannii</subject><subject>Picea glauca</subject><subject>Plant Shoots - metabolism</subject><subject>Plantations</subject><subject>Research and Analysis Methods</subject><subject>Seeds - metabolism</subject><subject>Sequence Analysis, RNA</subject><subject>Shoots</subject><subject>Somatic embryogenesis</subject><subject>Spruces</subject><subject>Stress, Physiological</subject><subject>Trees</subject><issn>1932-6203</issn><issn>1932-6203</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2017</creationdate><recordtype>article</recordtype><sourceid>PIMPY</sourceid><sourceid>DOA</sourceid><recordid>eNptUsFu1DAQjRCIlsIfILDEpRx2sWMncS6VqgpKpUpwgLM1sce7XiXxYjuF_hcfiNPdVl1U5ZBk_ObNe-NXFG8ZXTLesE8bP4UR-uXWj7ikTFaUVc-KY9byclGXlD9_9H1UvIpxQ2nFZV2_LI5K2dZSlOy4-HuJIxL8sw0Yo_Mjgcx5G10k3pJtcIMPxkFP4tr7NON6GFMk2vc96oSG2OAHMkCaApLfa5eQxG2YNJLT704jkFUPk4aPJAXESNIaEjHOWgzEjfkXXSB5dDYR3U2WEjPGk-gzo9MEhy7c-tVcz4rcaCadssjXxQsLfcQ3-_dJ8fPL5x8XXxfX3y6vLs6vF7pqeVoIXRomuw4kB9GZllmpuamp7rASpaAZJXkHtpWNMA2Y2uhWG2BCW9NixflJ8X7Hu-19VPuFR8VaUTWc0oZlxNUOYTxs1LwvCLfKg1N3BR9WCkJ20qMCUXJsBW_Q1KKhvLOAALxphLUg6jZzne2nTd2ARuOYAvQHpIcno1urlb9RVV2KSs5yT_cEwf-aMCY1uKixz1eGfrrTXWcRjIsM_fAf9Gl3e9QKsgE3Wp_n6plUnVc0K5eNnLmWT6DyY3BwOqfTulw_aBC7Bh18jAHtg0dG1ZztezFqzrbaZzu3vXu8n4em-zDzf3Py_M0</recordid><startdate>20171002</startdate><enddate>20171002</enddate><creator>Rutledge, R G</creator><creator>Stewart, D</creator><creator>Overton, C</creator><creator>Klimaszewska, K</creator><general>Public Library of Science</general><general>Public Library of Science (PLoS)</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7QG</scope><scope>7QL</scope><scope>7QO</scope><scope>7RV</scope><scope>7SN</scope><scope>7SS</scope><scope>7T5</scope><scope>7TG</scope><scope>7TM</scope><scope>7U9</scope><scope>7X2</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8AO</scope><scope>8C1</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>C1K</scope><scope>CCPQU</scope><scope>D1I</scope><scope>DWQXO</scope><scope>FR3</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>H94</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>KB.</scope><scope>KB0</scope><scope>KL.</scope><scope>L6V</scope><scope>LK8</scope><scope>M0K</scope><scope>M0S</scope><scope>M1P</scope><scope>M7N</scope><scope>M7P</scope><scope>M7S</scope><scope>NAPCQ</scope><scope>P5Z</scope><scope>P62</scope><scope>P64</scope><scope>PATMY</scope><scope>PDBOC</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PTHSS</scope><scope>PYCSY</scope><scope>RC3</scope><scope>7X8</scope><scope>5PM</scope><scope>DOA</scope><orcidid>https://orcid.org/0000-0001-7774-4655</orcidid></search><sort><creationdate>20171002</creationdate><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</title><author>Rutledge, R G ; Stewart, D ; Overton, C ; Klimaszewska, K</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c593t-4c2d18bba83a4bd91f8c3d60cbe54240c5983baf9874d7ad6dc9cda14cfd9e533</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2017</creationdate><topic>Adaptation, Physiological</topic><topic>Bioinformatics</topic><topic>Biology and Life Sciences</topic><topic>Callus</topic><topic>DNA microarrays</topic><topic>Embryonic development</topic><topic>Embryonic growth stage</topic><topic>Embryos</topic><topic>Explants</topic><topic>Forestry</topic><topic>Gene expression</topic><topic>Gene Expression Regulation, Plant</topic><topic>Genes</topic><topic>Genes, Plant</topic><topic>Genomes</topic><topic>Genomics</topic><topic>Genotypes</topic><topic>Natural resources</topic><topic>Physiological aspects</topic><topic>Picea - embryology</topic><topic>Picea - genetics</topic><topic>Picea - physiology</topic><topic>Picea abies</topic><topic>Picea engelmannii</topic><topic>Picea glauca</topic><topic>Plant Shoots - metabolism</topic><topic>Plantations</topic><topic>Research and Analysis Methods</topic><topic>Seeds - metabolism</topic><topic>Sequence Analysis, RNA</topic><topic>Shoots</topic><topic>Somatic embryogenesis</topic><topic>Spruces</topic><topic>Stress, Physiological</topic><topic>Trees</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Rutledge, R G</creatorcontrib><creatorcontrib>Stewart, D</creatorcontrib><creatorcontrib>Overton, C</creatorcontrib><creatorcontrib>Klimaszewska, K</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Animal Behavior Abstracts</collection><collection>Bacteriology Abstracts (Microbiology B)</collection><collection>Biotechnology Research Abstracts</collection><collection>Nursing &amp; Allied Health Database</collection><collection>Ecology Abstracts</collection><collection>Entomology Abstracts (Full archive)</collection><collection>Immunology Abstracts</collection><collection>Meteorological &amp; Geoastrophysical Abstracts</collection><collection>Nucleic Acids Abstracts</collection><collection>Virology and AIDS Abstracts</collection><collection>Agricultural Science Collection</collection><collection>ProQuest Health and Medical</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</collection><collection>Public Health Database</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Materials Science &amp; Engineering Collection</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest Central</collection><collection>Advanced Technologies &amp; Aerospace Collection</collection><collection>Agricultural &amp; Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>AUTh Library subscriptions: ProQuest Central</collection><collection>Technology Collection</collection><collection>Natural Science Collection</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Materials Science Collection</collection><collection>ProQuest Central Korea</collection><collection>Engineering Research Database</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>SciTech Premium Collection (Proquest) (PQ_SDU_P3)</collection><collection>ProQuest Health &amp; Medical Complete (Alumni)</collection><collection>Materials Science Database</collection><collection>Nursing &amp; Allied Health Database (Alumni Edition)</collection><collection>Meteorological &amp; Geoastrophysical Abstracts - Academic</collection><collection>ProQuest Engineering Collection</collection><collection>ProQuest Biological Science Collection</collection><collection>Agriculture Science Database</collection><collection>Health &amp; Medical Collection (Alumni Edition)</collection><collection>PML(ProQuest Medical Library)</collection><collection>Algology Mycology and Protozoology Abstracts (Microbiology C)</collection><collection>ProQuest Biological Science Journals</collection><collection>Engineering Database</collection><collection>Nursing &amp; Allied Health Premium</collection><collection>ProQuest advanced technologies &amp; aerospace journals</collection><collection>ProQuest Advanced Technologies &amp; Aerospace Collection</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>Environmental Science Database</collection><collection>Materials Science Collection</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>Engineering collection</collection><collection>Environmental Science Collection</collection><collection>Genetics Abstracts</collection><collection>MEDLINE - 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>
fulltext fulltext
identifier ISSN: 1932-6203
ispartof PloS one, 2017-10, Vol.12 (10), p.e0185015-e0185015
issn 1932-6203
1932-6203
language eng
recordid cdi_plos_journals_1945730071
source PubMed Central Free; Publicly Available Content Database
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
url http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-02T01%3A17%3A21IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-gale_plos_&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Gene%20expression%20analysis%20of%20primordial%20shoot%20explants%20collected%20from%20mature%20white%20spruce%20(Picea%20glauca)%20trees%20that%20differ%20in%20their%20responsiveness%20to%20somatic%20embryogenesis%20induction&rft.jtitle=PloS%20one&rft.au=Rutledge,%20R%20G&rft.date=2017-10-02&rft.volume=12&rft.issue=10&rft.spage=e0185015&rft.epage=e0185015&rft.pages=e0185015-e0185015&rft.issn=1932-6203&rft.eissn=1932-6203&rft_id=info:doi/10.1371/journal.pone.0185015&rft_dat=%3Cgale_plos_%3EA507748784%3C/gale_plos_%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-c593t-4c2d18bba83a4bd91f8c3d60cbe54240c5983baf9874d7ad6dc9cda14cfd9e533%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_pqid=1945730071&rft_id=info:pmid/28968421&rft_galeid=A507748784&rfr_iscdi=true