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Use of mRNA-seq to discriminate contributions to the transcriptome from the constituent genomes of the polyploid crop species Brassica napus
Polyploidy often results in considerable changes in gene expression, both immediately and over evolutionary time. New phenotypes often arise with polyploid formation and may contribute to the fitness of polyploids in nature or their selection for use in agriculture. Oilseed rape (Brassica napus) is...
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Published in: | BMC genomics 2012-06, Vol.13 (1), p.247-247, Article 247 |
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description | Polyploidy often results in considerable changes in gene expression, both immediately and over evolutionary time. New phenotypes often arise with polyploid formation and may contribute to the fitness of polyploids in nature or their selection for use in agriculture. Oilseed rape (Brassica napus) is widely used to study the process of polyploidy both in artificially resynthesised and natural forms. mRNA-Seq, a recently developed approach to transcriptome profiling using deep-sequencing technologies is an alternative to microarrays for the study of gene expression in a polyploid.
Illumina mRNA-Seq is comparable to microarray analysis for transcript quantification but has increased sensitivity and, very importantly, the potential to distinguish between homoeologous genes in polyploids. Using a novel curing process, we adapted a reference sequence that was a consensus derived from ESTs from both Brassica A and C genomes to one containing separate A and C genome versions for each of the 94,558 original unigenes. We aligned reads from B. napus to this cured reference, finding 38% more reads mapping from resynthesised lines and 28% more reads mapping from natural lines. Where the A and C versions differed at single nucleotide positions, termed inter-homoeologue polymorphisms (IHPs), we were able to apportion expression in the polyploid between the A and C genome homoeologues. 43,761 unigenes contained at least one IHP, with a mean frequency of 10.5 per kb unigene sequence. 6,350 of the unigenes with IHPs were differentially expressed between homoeologous gene pairs in resynthesised B. napus. 3,212 unigenes showed a similar pattern of differential expression across a range of natural B. napus crop varieties and, of these, 995 were in common with resynthesised B. napus. Functional classification showed over-representation in gene ontology categories not associated with dosage-sensitivity.
mRNA-Seq is the method of choice for measuring transcript abundance in polyploids due to its ability to measure the contributions of homoeologues to gene expression. The identification of large numbers of differentially expressed genes in both a newly resynthesised polyploid and natural B. napus confirms that there are both immediate and long-term alterations in the expression of homoeologous gene pairs following polyploidy. |
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Illumina mRNA-Seq is comparable to microarray analysis for transcript quantification but has increased sensitivity and, very importantly, the potential to distinguish between homoeologous genes in polyploids. Using a novel curing process, we adapted a reference sequence that was a consensus derived from ESTs from both Brassica A and C genomes to one containing separate A and C genome versions for each of the 94,558 original unigenes. We aligned reads from B. napus to this cured reference, finding 38% more reads mapping from resynthesised lines and 28% more reads mapping from natural lines. Where the A and C versions differed at single nucleotide positions, termed inter-homoeologue polymorphisms (IHPs), we were able to apportion expression in the polyploid between the A and C genome homoeologues. 43,761 unigenes contained at least one IHP, with a mean frequency of 10.5 per kb unigene sequence. 6,350 of the unigenes with IHPs were differentially expressed between homoeologous gene pairs in resynthesised B. napus. 3,212 unigenes showed a similar pattern of differential expression across a range of natural B. napus crop varieties and, of these, 995 were in common with resynthesised B. napus. Functional classification showed over-representation in gene ontology categories not associated with dosage-sensitivity.
mRNA-Seq is the method of choice for measuring transcript abundance in polyploids due to its ability to measure the contributions of homoeologues to gene expression. The identification of large numbers of differentially expressed genes in both a newly resynthesised polyploid and natural B. napus confirms that there are both immediate and long-term alterations in the expression of homoeologous gene pairs following polyploidy.</description><identifier>ISSN: 1471-2164</identifier><identifier>EISSN: 1471-2164</identifier><identifier>DOI: 10.1186/1471-2164-13-247</identifier><identifier>PMID: 22703051</identifier><language>eng</language><publisher>England: BioMed Central Ltd</publisher><subject>Agriculture ; Analysis ; Base Sequence ; Biotechnology industry ; Brassica napus ; Brassica napus - genetics ; Crops, Agricultural - genetics ; DNA microarrays ; Epigenetics ; Evolution ; Gene expression ; Gene Expression Regulation, Plant ; Genes ; Genes, Plant - genetics ; Genetic aspects ; Genetic diversity ; Genetic polymorphisms ; Genetic research ; Genome, Plant - genetics ; Genomes ; Genomics ; Hypotheses ; Messenger RNA ; Molecular Sequence Data ; Oligonucleotide Array Sequence Analysis ; Physiological aspects ; Polymorphism, Genetic ; Polyploidy ; Rape (Plant) ; Reference Standards ; Research parks ; RNA, Messenger - genetics ; RNA, Messenger - metabolism ; Sequence Analysis, RNA - methods ; Sequence Homology, Nucleic Acid ; Species Specificity ; Statistical methods ; Studies ; Technology application ; Transcriptome - genetics</subject><ispartof>BMC genomics, 2012-06, Vol.13 (1), p.247-247, Article 247</ispartof><rights>COPYRIGHT 2012 BioMed Central Ltd.</rights><rights>2012 Higgins et al.; licensee BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License http://(http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.</rights><rights>Copyright ©2012 Higgins et al.; licensee BioMed Central Ltd. 2012 Higgins et al.; licensee BioMed Central Ltd.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-b750t-6d24fbaa95f4729270e4bba5d6ebf504467fb395d04cae743f69da5d28a903e53</citedby><cites>FETCH-LOGICAL-b750t-6d24fbaa95f4729270e4bba5d6ebf504467fb395d04cae743f69da5d28a903e53</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC3428664/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/1038328543?pq-origsite=primo$$EHTML$$P50$$Gproquest$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,885,25753,27924,27925,37012,37013,44590,53791,53793</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/22703051$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Higgins, Janet</creatorcontrib><creatorcontrib>Magusin, Andreas</creatorcontrib><creatorcontrib>Trick, Martin</creatorcontrib><creatorcontrib>Fraser, Fiona</creatorcontrib><creatorcontrib>Bancroft, Ian</creatorcontrib><title>Use of mRNA-seq to discriminate contributions to the transcriptome from the constituent genomes of the polyploid crop species Brassica napus</title><title>BMC genomics</title><addtitle>BMC Genomics</addtitle><description>Polyploidy often results in considerable changes in gene expression, both immediately and over evolutionary time. New phenotypes often arise with polyploid formation and may contribute to the fitness of polyploids in nature or their selection for use in agriculture. Oilseed rape (Brassica napus) is widely used to study the process of polyploidy both in artificially resynthesised and natural forms. mRNA-Seq, a recently developed approach to transcriptome profiling using deep-sequencing technologies is an alternative to microarrays for the study of gene expression in a polyploid.
Illumina mRNA-Seq is comparable to microarray analysis for transcript quantification but has increased sensitivity and, very importantly, the potential to distinguish between homoeologous genes in polyploids. Using a novel curing process, we adapted a reference sequence that was a consensus derived from ESTs from both Brassica A and C genomes to one containing separate A and C genome versions for each of the 94,558 original unigenes. We aligned reads from B. napus to this cured reference, finding 38% more reads mapping from resynthesised lines and 28% more reads mapping from natural lines. Where the A and C versions differed at single nucleotide positions, termed inter-homoeologue polymorphisms (IHPs), we were able to apportion expression in the polyploid between the A and C genome homoeologues. 43,761 unigenes contained at least one IHP, with a mean frequency of 10.5 per kb unigene sequence. 6,350 of the unigenes with IHPs were differentially expressed between homoeologous gene pairs in resynthesised B. napus. 3,212 unigenes showed a similar pattern of differential expression across a range of natural B. napus crop varieties and, of these, 995 were in common with resynthesised B. napus. Functional classification showed over-representation in gene ontology categories not associated with dosage-sensitivity.
mRNA-Seq is the method of choice for measuring transcript abundance in polyploids due to its ability to measure the contributions of homoeologues to gene expression. The identification of large numbers of differentially expressed genes in both a newly resynthesised polyploid and natural B. napus confirms that there are both immediate and long-term alterations in the expression of homoeologous gene pairs following polyploidy.</description><subject>Agriculture</subject><subject>Analysis</subject><subject>Base Sequence</subject><subject>Biotechnology industry</subject><subject>Brassica napus</subject><subject>Brassica napus - genetics</subject><subject>Crops, Agricultural - genetics</subject><subject>DNA microarrays</subject><subject>Epigenetics</subject><subject>Evolution</subject><subject>Gene expression</subject><subject>Gene Expression Regulation, Plant</subject><subject>Genes</subject><subject>Genes, Plant - genetics</subject><subject>Genetic aspects</subject><subject>Genetic diversity</subject><subject>Genetic polymorphisms</subject><subject>Genetic research</subject><subject>Genome, Plant - genetics</subject><subject>Genomes</subject><subject>Genomics</subject><subject>Hypotheses</subject><subject>Messenger RNA</subject><subject>Molecular Sequence Data</subject><subject>Oligonucleotide Array Sequence Analysis</subject><subject>Physiological aspects</subject><subject>Polymorphism, Genetic</subject><subject>Polyploidy</subject><subject>Rape (Plant)</subject><subject>Reference Standards</subject><subject>Research parks</subject><subject>RNA, Messenger - genetics</subject><subject>RNA, Messenger - metabolism</subject><subject>Sequence Analysis, RNA - methods</subject><subject>Sequence Homology, Nucleic Acid</subject><subject>Species Specificity</subject><subject>Statistical methods</subject><subject>Studies</subject><subject>Technology application</subject><subject>Transcriptome - genetics</subject><issn>1471-2164</issn><issn>1471-2164</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2012</creationdate><recordtype>article</recordtype><sourceid>PIMPY</sourceid><sourceid>DOA</sourceid><recordid>eNqFk8tu1DAUhiMEoqWwZ4UisYFFim-Jkw3SMOIyUgVSoWvLcY6nHiVxajuIvgMPjd0pQ4OKUBaOzv_707k5y55jdIpxXb3BjOOC4IoVmBaE8QfZ8SH08M7_UfbE-x1CmNekfJwdEcIRRSU-zn5eeMitzofzz6vCw1UebN4Zr5wZzCgD5MqOwZl2DsaOPqnhEvLg5Jg8U7AD5NrZ4SYcvT6YMMMY8i2MUfOJnaTJ9tdTb02XK2en3E-gTFTfOem9UTIf5TT7p9kjLXsPz27Pk-ziw_tv60_F2ZePm_XqrGh5iUJRdYTpVsqm1IyTJtYCrG1l2VXQ6hIxVnHd0qbsEFMSOKO6arook1o2iEJJT7LNnttZuRNTrFW6a2GlETcB67ZCumBUD0Jr1aqOyUZpyTCRDa8Vb0HXuGa64ziy3u5Z09wO0KlYu5P9ArpURnMptva7oIzUVcUiYL0HtMb-A7BUlB1EmqxIkxWYijj4SHl1m4azVzP4IIY4Reh7OYKdfbSRusSI1PT_VkQ5YYTWKFpf_mXd2dmNcTbJVScmo39cWxk7ZkZtY54qQcWqpAzHNElind7jil8Hg4mbA9rE-OLC68WFtInwI2zl7L3YfD1fetHeG7fLewf60D-MRHoq93Xsxd3BHS78fhv0F1vMD70</recordid><startdate>20120615</startdate><enddate>20120615</enddate><creator>Higgins, Janet</creator><creator>Magusin, Andreas</creator><creator>Trick, Martin</creator><creator>Fraser, Fiona</creator><creator>Bancroft, Ian</creator><general>BioMed Central Ltd</general><general>BioMed Central</general><general>BMC</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>ISR</scope><scope>3V.</scope><scope>7QP</scope><scope>7QR</scope><scope>7SS</scope><scope>7TK</scope><scope>7U7</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8AO</scope><scope>8FD</scope><scope>8FE</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>C1K</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FR3</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>LK8</scope><scope>M0S</scope><scope>M1P</scope><scope>M7P</scope><scope>P64</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>RC3</scope><scope>7X8</scope><scope>7TM</scope><scope>5PM</scope><scope>DOA</scope></search><sort><creationdate>20120615</creationdate><title>Use of mRNA-seq to discriminate contributions to the transcriptome from the constituent genomes of the polyploid crop species Brassica napus</title><author>Higgins, Janet ; Magusin, Andreas ; Trick, Martin ; Fraser, Fiona ; Bancroft, Ian</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-b750t-6d24fbaa95f4729270e4bba5d6ebf504467fb395d04cae743f69da5d28a903e53</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2012</creationdate><topic>Agriculture</topic><topic>Analysis</topic><topic>Base Sequence</topic><topic>Biotechnology industry</topic><topic>Brassica napus</topic><topic>Brassica napus - genetics</topic><topic>Crops, Agricultural - genetics</topic><topic>DNA microarrays</topic><topic>Epigenetics</topic><topic>Evolution</topic><topic>Gene expression</topic><topic>Gene Expression Regulation, Plant</topic><topic>Genes</topic><topic>Genes, Plant - genetics</topic><topic>Genetic aspects</topic><topic>Genetic diversity</topic><topic>Genetic polymorphisms</topic><topic>Genetic research</topic><topic>Genome, Plant - genetics</topic><topic>Genomes</topic><topic>Genomics</topic><topic>Hypotheses</topic><topic>Messenger RNA</topic><topic>Molecular Sequence Data</topic><topic>Oligonucleotide Array Sequence Analysis</topic><topic>Physiological aspects</topic><topic>Polymorphism, Genetic</topic><topic>Polyploidy</topic><topic>Rape (Plant)</topic><topic>Reference Standards</topic><topic>Research parks</topic><topic>RNA, Messenger - genetics</topic><topic>RNA, Messenger - metabolism</topic><topic>Sequence Analysis, RNA - methods</topic><topic>Sequence Homology, Nucleic Acid</topic><topic>Species Specificity</topic><topic>Statistical methods</topic><topic>Studies</topic><topic>Technology application</topic><topic>Transcriptome - genetics</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Higgins, Janet</creatorcontrib><creatorcontrib>Magusin, Andreas</creatorcontrib><creatorcontrib>Trick, Martin</creatorcontrib><creatorcontrib>Fraser, Fiona</creatorcontrib><creatorcontrib>Bancroft, Ian</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Science (Gale in Context)</collection><collection>ProQuest Central (Corporate)</collection><collection>Calcium & Calcified Tissue Abstracts</collection><collection>Chemoreception Abstracts</collection><collection>Entomology Abstracts (Full archive)</collection><collection>Neurosciences Abstracts</collection><collection>Toxicology Abstracts</collection><collection>ProQuest_Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech 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>ProQuest Central (Alumni)</collection><collection>ProQuest Central</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>ProQuest Natural Science Collection</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central</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>SciTech Premium Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>ProQuest Biological Science Collection</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>ProQuest Biological Science Journals</collection><collection>Biotechnology and BioEngineering Abstracts</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>Genetics Abstracts</collection><collection>MEDLINE - Academic</collection><collection>Nucleic Acids Abstracts</collection><collection>PubMed Central (Full Participant titles)</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>BMC genomics</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Higgins, Janet</au><au>Magusin, Andreas</au><au>Trick, Martin</au><au>Fraser, Fiona</au><au>Bancroft, Ian</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Use of mRNA-seq to discriminate contributions to the transcriptome from the constituent genomes of the polyploid crop species Brassica napus</atitle><jtitle>BMC genomics</jtitle><addtitle>BMC Genomics</addtitle><date>2012-06-15</date><risdate>2012</risdate><volume>13</volume><issue>1</issue><spage>247</spage><epage>247</epage><pages>247-247</pages><artnum>247</artnum><issn>1471-2164</issn><eissn>1471-2164</eissn><abstract>Polyploidy often results in considerable changes in gene expression, both immediately and over evolutionary time. New phenotypes often arise with polyploid formation and may contribute to the fitness of polyploids in nature or their selection for use in agriculture. Oilseed rape (Brassica napus) is widely used to study the process of polyploidy both in artificially resynthesised and natural forms. mRNA-Seq, a recently developed approach to transcriptome profiling using deep-sequencing technologies is an alternative to microarrays for the study of gene expression in a polyploid.
Illumina mRNA-Seq is comparable to microarray analysis for transcript quantification but has increased sensitivity and, very importantly, the potential to distinguish between homoeologous genes in polyploids. Using a novel curing process, we adapted a reference sequence that was a consensus derived from ESTs from both Brassica A and C genomes to one containing separate A and C genome versions for each of the 94,558 original unigenes. We aligned reads from B. napus to this cured reference, finding 38% more reads mapping from resynthesised lines and 28% more reads mapping from natural lines. Where the A and C versions differed at single nucleotide positions, termed inter-homoeologue polymorphisms (IHPs), we were able to apportion expression in the polyploid between the A and C genome homoeologues. 43,761 unigenes contained at least one IHP, with a mean frequency of 10.5 per kb unigene sequence. 6,350 of the unigenes with IHPs were differentially expressed between homoeologous gene pairs in resynthesised B. napus. 3,212 unigenes showed a similar pattern of differential expression across a range of natural B. napus crop varieties and, of these, 995 were in common with resynthesised B. napus. Functional classification showed over-representation in gene ontology categories not associated with dosage-sensitivity.
mRNA-Seq is the method of choice for measuring transcript abundance in polyploids due to its ability to measure the contributions of homoeologues to gene expression. The identification of large numbers of differentially expressed genes in both a newly resynthesised polyploid and natural B. napus confirms that there are both immediate and long-term alterations in the expression of homoeologous gene pairs following polyploidy.</abstract><cop>England</cop><pub>BioMed Central Ltd</pub><pmid>22703051</pmid><doi>10.1186/1471-2164-13-247</doi><tpages>1</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Agriculture Analysis Base Sequence Biotechnology industry Brassica napus Brassica napus - genetics Crops, Agricultural - genetics DNA microarrays Epigenetics Evolution Gene expression Gene Expression Regulation, Plant Genes Genes, Plant - genetics Genetic aspects Genetic diversity Genetic polymorphisms Genetic research Genome, Plant - genetics Genomes Genomics Hypotheses Messenger RNA Molecular Sequence Data Oligonucleotide Array Sequence Analysis Physiological aspects Polymorphism, Genetic Polyploidy Rape (Plant) Reference Standards Research parks RNA, Messenger - genetics RNA, Messenger - metabolism Sequence Analysis, RNA - methods Sequence Homology, Nucleic Acid Species Specificity Statistical methods Studies Technology application Transcriptome - genetics |
title | Use of mRNA-seq to discriminate contributions to the transcriptome from the constituent genomes of the polyploid crop species Brassica napus |
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