Transcript Profiling by 3'-Untranslated Region Sequencing Resolves Expression of Gene Families
Differences in gene expression underlie central questions in plant biology extending from gene function to evolutionary mechanisms and quantitative traits. However, resolving expression of closely related genes (e.g. alleles and gene family members) is challenging on a genome-wide scale due to exten...
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description | Differences in gene expression underlie central questions in plant biology extending from gene function to evolutionary mechanisms and quantitative traits. However, resolving expression of closely related genes (e.g. alleles and gene family members) is challenging on a genome-wide scale due to extensive sequence similarity and frequently incomplete genome sequence data. We present a new expression-profiling strategy that utilizes long-read, high-throughput sequencing to capture the information-rich 3'-untranslated region (UTR) of messenger RNAs (mRNAs). Resulting sequences resolve gene-specific transcripts independent of a sequenced genome. Analysis of approximately 229,000 3'-anchored sequences from maize (Zea mays) ovaries identified 14,822 unique transcripts represented by at least two sequence reads. Total RNA from ovaries of drought-stressed wild-type and viviparous-1 mutant plants was used to construct a multiplex cDNA library. Each sample was labeled by incorporating one of 16 unique three-base key codes into the 3'-cDNA fragments, and combined samples were sequenced using a GS 20 454 instrument. Transcript abundance was quantified by frequency of sequences identifying each unique mRNA. At least 202 unique transcripts showed highly significant differences in abundance between wild-type and mutant samples. For a subset of mRNAs, quantitative differences were validated by real-time reverse transcription-polymerase chain reaction. The 3'-UTR profile resolved 12 unique cellulose synthase (CesA) transcripts in maize ovaries and identified previously uncharacterized members of a histone H1 gene family. In addition, this method resolved nearly identical paralogs, as illustrated by two auxin-repressed, dormancy-associated (Arda) transcripts, which showed reciprocal mRNA abundance in wild-type and mutant samples. Our results demonstrate the potential of 3'-UTR profiling for resolving gene- and allele-specific transcripts. |
doi_str_mv | 10.1104/pp.107.108597 |
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However, resolving expression of closely related genes (e.g. alleles and gene family members) is challenging on a genome-wide scale due to extensive sequence similarity and frequently incomplete genome sequence data. We present a new expression-profiling strategy that utilizes long-read, high-throughput sequencing to capture the information-rich 3'-untranslated region (UTR) of messenger RNAs (mRNAs). Resulting sequences resolve gene-specific transcripts independent of a sequenced genome. Analysis of approximately 229,000 3'-anchored sequences from maize (Zea mays) ovaries identified 14,822 unique transcripts represented by at least two sequence reads. Total RNA from ovaries of drought-stressed wild-type and viviparous-1 mutant plants was used to construct a multiplex cDNA library. Each sample was labeled by incorporating one of 16 unique three-base key codes into the 3'-cDNA fragments, and combined samples were sequenced using a GS 20 454 instrument. Transcript abundance was quantified by frequency of sequences identifying each unique mRNA. At least 202 unique transcripts showed highly significant differences in abundance between wild-type and mutant samples. For a subset of mRNAs, quantitative differences were validated by real-time reverse transcription-polymerase chain reaction. The 3'-UTR profile resolved 12 unique cellulose synthase (CesA) transcripts in maize ovaries and identified previously uncharacterized members of a histone H1 gene family. In addition, this method resolved nearly identical paralogs, as illustrated by two auxin-repressed, dormancy-associated (Arda) transcripts, which showed reciprocal mRNA abundance in wild-type and mutant samples. Our results demonstrate the potential of 3'-UTR profiling for resolving gene- and allele-specific transcripts.</description><identifier>ISSN: 0032-0889</identifier><identifier>ISSN: 1532-2548</identifier><identifier>EISSN: 1532-2548</identifier><identifier>DOI: 10.1104/pp.107.108597</identifier><identifier>PMID: 18024554</identifier><identifier>CODEN: PPHYA5</identifier><language>eng</language><publisher>Rockville, MD: American Society of Plant Biologists</publisher><subject>3' Untranslated Regions - genetics ; Base Sequence ; Biological and medical sciences ; Breakthrough Technologies ; Complementary DNA ; Corn ; Fundamental and applied biological sciences. Psychology ; Gene expression ; Gene Expression Profiling ; Gene Expression Regulation, Plant - genetics ; Genes ; Genes. 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However, resolving expression of closely related genes (e.g. alleles and gene family members) is challenging on a genome-wide scale due to extensive sequence similarity and frequently incomplete genome sequence data. We present a new expression-profiling strategy that utilizes long-read, high-throughput sequencing to capture the information-rich 3'-untranslated region (UTR) of messenger RNAs (mRNAs). Resulting sequences resolve gene-specific transcripts independent of a sequenced genome. Analysis of approximately 229,000 3'-anchored sequences from maize (Zea mays) ovaries identified 14,822 unique transcripts represented by at least two sequence reads. Total RNA from ovaries of drought-stressed wild-type and viviparous-1 mutant plants was used to construct a multiplex cDNA library. Each sample was labeled by incorporating one of 16 unique three-base key codes into the 3'-cDNA fragments, and combined samples were sequenced using a GS 20 454 instrument. Transcript abundance was quantified by frequency of sequences identifying each unique mRNA. At least 202 unique transcripts showed highly significant differences in abundance between wild-type and mutant samples. For a subset of mRNAs, quantitative differences were validated by real-time reverse transcription-polymerase chain reaction. The 3'-UTR profile resolved 12 unique cellulose synthase (CesA) transcripts in maize ovaries and identified previously uncharacterized members of a histone H1 gene family. In addition, this method resolved nearly identical paralogs, as illustrated by two auxin-repressed, dormancy-associated (Arda) transcripts, which showed reciprocal mRNA abundance in wild-type and mutant samples. Our results demonstrate the potential of 3'-UTR profiling for resolving gene- and allele-specific transcripts.</description><subject>3' Untranslated Regions - genetics</subject><subject>Base Sequence</subject><subject>Biological and medical sciences</subject><subject>Breakthrough Technologies</subject><subject>Complementary DNA</subject><subject>Corn</subject><subject>Fundamental and applied biological sciences. Psychology</subject><subject>Gene expression</subject><subject>Gene Expression Profiling</subject><subject>Gene Expression Regulation, Plant - genetics</subject><subject>Genes</subject><subject>Genes. Genome</subject><subject>Genomes</subject><subject>Genomics</subject><subject>Messenger RNA</subject><subject>Molecular and cellular biology</subject><subject>Molecular genetics</subject><subject>Multigene Family - genetics</subject><subject>Plants</subject><subject>Polymorphism, Genetic</subject><subject>Rice</subject><subject>Sequencing</subject><subject>Transcription, Genetic - genetics</subject><subject>Zea mays</subject><subject>Zea mays - genetics</subject><issn>0032-0889</issn><issn>1532-2548</issn><issn>1532-2548</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2008</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNqFks1v1DAQxS0EokvhyBHIhXJKGX_F9gUJVW1BqgRqu1csr3e8pMrGwc5W9L-vo6wWOHEYzUjvp6cZPxPymsIppSA-DsMpBVVKS6OekAWVnNVMCv2ULADKDFqbI_Ii5zsAoJyK5-SIamBCSrEgP26T67NP7TBW31MMbdf2m2r1UPEP9bIfJ7FzI66ra9y0sa9u8NcOez9B15hjd4-5Ov89JMx5kmOoLrHH6sJtixPml-RZcF3GV_t-TJYX57dnX-qrb5dfzz5f1V4aPtYGV45yqdY0SGqUY5wHyQyKRnmhUXrHTOMheKWUxgZQ0eCMNMLI1UqukR-TT7PvsFttce1xWr2zQ2q3Lj3Y6Fr7r9K3P-0m3lvGOJSHKAYne4MUy4V5tNs2e-w612PcZauAasb1_0FqtBaGNQWsZ9CnmHPCcNiGgp2is8NQRmXn6Ar_9u8T_tD7rArwfg-47F0XSja-zQeOAWjagCzcm5m7y2NMB10ANLIQRX8368FF6zapeCxvWPkaxUAww4E_AilZtTE</recordid><startdate>20080101</startdate><enddate>20080101</enddate><creator>Eveland, Andrea L</creator><creator>McCarty, Donald R</creator><creator>Koch, Karen E</creator><general>American Society of Plant Biologists</general><general>American Society of Plant Physiologists</general><scope>FBQ</scope><scope>IQODW</scope><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>7TM</scope><scope>8FD</scope><scope>FR3</scope><scope>P64</scope><scope>RC3</scope><scope>7X8</scope><scope>5PM</scope></search><sort><creationdate>20080101</creationdate><title>Transcript Profiling by 3'-Untranslated Region Sequencing Resolves Expression of Gene Families</title><author>Eveland, Andrea L ; McCarty, Donald R ; Koch, Karen E</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c593t-9eba1357d1f5197a233f529e467c48e5ca296c0fc7778e60e71fa959495bb5de3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2008</creationdate><topic>3' Untranslated Regions - genetics</topic><topic>Base Sequence</topic><topic>Biological and medical sciences</topic><topic>Breakthrough Technologies</topic><topic>Complementary DNA</topic><topic>Corn</topic><topic>Fundamental and applied biological sciences. Psychology</topic><topic>Gene expression</topic><topic>Gene Expression Profiling</topic><topic>Gene Expression Regulation, Plant - genetics</topic><topic>Genes</topic><topic>Genes. Genome</topic><topic>Genomes</topic><topic>Genomics</topic><topic>Messenger RNA</topic><topic>Molecular and cellular biology</topic><topic>Molecular genetics</topic><topic>Multigene Family - genetics</topic><topic>Plants</topic><topic>Polymorphism, Genetic</topic><topic>Rice</topic><topic>Sequencing</topic><topic>Transcription, Genetic - genetics</topic><topic>Zea mays</topic><topic>Zea mays - genetics</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Eveland, Andrea L</creatorcontrib><creatorcontrib>McCarty, Donald R</creatorcontrib><creatorcontrib>Koch, Karen E</creatorcontrib><collection>AGRIS</collection><collection>Pascal-Francis</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Nucleic Acids Abstracts</collection><collection>Technology Research Database</collection><collection>Engineering Research Database</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>Genetics Abstracts</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Plant physiology (Bethesda)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Eveland, Andrea L</au><au>McCarty, Donald R</au><au>Koch, Karen E</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Transcript Profiling by 3'-Untranslated Region Sequencing Resolves Expression of Gene Families</atitle><jtitle>Plant physiology (Bethesda)</jtitle><addtitle>Plant Physiol</addtitle><date>2008-01-01</date><risdate>2008</risdate><volume>146</volume><issue>1</issue><spage>32</spage><epage>44</epage><pages>32-44</pages><issn>0032-0889</issn><issn>1532-2548</issn><eissn>1532-2548</eissn><coden>PPHYA5</coden><abstract>Differences in gene expression underlie central questions in plant biology extending from gene function to evolutionary mechanisms and quantitative traits. However, resolving expression of closely related genes (e.g. alleles and gene family members) is challenging on a genome-wide scale due to extensive sequence similarity and frequently incomplete genome sequence data. We present a new expression-profiling strategy that utilizes long-read, high-throughput sequencing to capture the information-rich 3'-untranslated region (UTR) of messenger RNAs (mRNAs). Resulting sequences resolve gene-specific transcripts independent of a sequenced genome. Analysis of approximately 229,000 3'-anchored sequences from maize (Zea mays) ovaries identified 14,822 unique transcripts represented by at least two sequence reads. Total RNA from ovaries of drought-stressed wild-type and viviparous-1 mutant plants was used to construct a multiplex cDNA library. Each sample was labeled by incorporating one of 16 unique three-base key codes into the 3'-cDNA fragments, and combined samples were sequenced using a GS 20 454 instrument. Transcript abundance was quantified by frequency of sequences identifying each unique mRNA. At least 202 unique transcripts showed highly significant differences in abundance between wild-type and mutant samples. For a subset of mRNAs, quantitative differences were validated by real-time reverse transcription-polymerase chain reaction. The 3'-UTR profile resolved 12 unique cellulose synthase (CesA) transcripts in maize ovaries and identified previously uncharacterized members of a histone H1 gene family. In addition, this method resolved nearly identical paralogs, as illustrated by two auxin-repressed, dormancy-associated (Arda) transcripts, which showed reciprocal mRNA abundance in wild-type and mutant samples. Our results demonstrate the potential of 3'-UTR profiling for resolving gene- and allele-specific transcripts.</abstract><cop>Rockville, MD</cop><pub>American Society of Plant Biologists</pub><pmid>18024554</pmid><doi>10.1104/pp.107.108597</doi><tpages>13</tpages><oa>free_for_read</oa></addata></record> |
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source | Jstor Complete Legacy; Oxford University Press Journals All Titles (1996-Current); MEDLINE; Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals |
subjects | 3' Untranslated Regions - genetics Base Sequence Biological and medical sciences Breakthrough Technologies Complementary DNA Corn Fundamental and applied biological sciences. Psychology Gene expression Gene Expression Profiling Gene Expression Regulation, Plant - genetics Genes Genes. Genome Genomes Genomics Messenger RNA Molecular and cellular biology Molecular genetics Multigene Family - genetics Plants Polymorphism, Genetic Rice Sequencing Transcription, Genetic - genetics Zea mays Zea mays - genetics |
title | Transcript Profiling by 3'-Untranslated Region Sequencing Resolves Expression of Gene Families |
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