Addressing drought tolerance in maize by transcriptional profiling and mapping

In order to unravel the genetic architecture underlying plant response to drought, we adopted an integrated approach, combining transcript profiling and quantitative trait loci (QTL) mapping. In fact, improving plant tolerance to water stress is an important, but, at the same time, a difficult task,...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Molecular genetics and genomics : MGG 2009-02, Vol.281 (2), p.163-179
Hauptverfasser: Marino, Rosanna, Ponnaiah, Maharajah, Krajewski, Pawel, Frova, Carla, Gianfranceschi, Luca, Pè, M. Enrico, Sari-Gorla, Mirella
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page 179
container_issue 2
container_start_page 163
container_title Molecular genetics and genomics : MGG
container_volume 281
creator Marino, Rosanna
Ponnaiah, Maharajah
Krajewski, Pawel
Frova, Carla
Gianfranceschi, Luca
Pè, M. Enrico
Sari-Gorla, Mirella
description In order to unravel the genetic architecture underlying plant response to drought, we adopted an integrated approach, combining transcript profiling and quantitative trait loci (QTL) mapping. In fact, improving plant tolerance to water stress is an important, but, at the same time, a difficult task, since plant tolerance is the result of many complex mechanisms acting at different levels of plant organization, and its genetic basis is largely unknown. The phenotypic data, concerning yield components and flowering time, of a population of 142 maize Recombinant Inbred Lines (RILs), grown under well watered conditions or under water stress, were submitted to linkage analysis to detect drought-tolerance QTLs. Thirty genomic regions containing 50 significant QTLs distributed on nine chromosomes were identified. At the same time, a customized targeted oligoarray was used to monitor the expression levels of 1,000 genes, representative of the immature maize kernel transcriptome. Using this DNA array we compared transcripts from 10 days after pollination kernels of two susceptible and two drought tolerant genotypes (extracted from our RILs) grown under control and water stress field conditions. Two hundred and fifty-two genes were significantly affected by stress in at least one genotype. From a set of these, 49 new molecular markers were developed. By mapping most of them and by in silico mapping other regulated sequences, 88 differentially expressed genes were localized onto our linkage map, which, added to the existing 186 markers, brought their total number on the map to 274. Twenty-two of the 88 differentially expressed genes mapped in the same chromosomal segments harbouring QTLs for tolerance, thus representing candidate genes for further functional studies.
doi_str_mv 10.1007/s00438-008-0401-y
format Article
fullrecord <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_853476952</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>853476952</sourcerecordid><originalsourceid>FETCH-LOGICAL-c401t-b4d023babb6e656ac5cb9a39f5586909d47dbf9d930ea283d9ab3e707831fa693</originalsourceid><addsrcrecordid>eNp9kUtLxDAUhYMozjj6A9xIcaGr6k3zapbD4AtEN7oOSZOOHTptTdpF_fVmmEFF0EXIJfc7J_dyEDrFcIUBxHUAoCRPAeKhgNNxD00xxyKlPCP7XzVmE3QUwgoAC56JQzTBEnDOBEzR09xa70KommVifTss3_qkb2vndVO4pGqSta4-XGLGpI9PofBV11dto-uk821Z1RudbmzEui7Wx-ig1HVwJ7t7hl5vb14W9-nj893DYv6YFnHOPjXUQkaMNoY7zrguWGGkJrJkLOcSpKXCmlJaScDpLCdWakOcAJETXGouyQxdbn3jFO-DC71aV6Fwda0b1w5B5YxQwSXLInnxL8l5LiiL_Ayd_wJX7eDjpkFhSTGnBOMI4S1U-DYE70rV-Wqt_agwqE0mapuJipmoTSZqjJqznfFg1s5-K3YhRCDbAiG2mqXzP37-0_UTKMCXjQ</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>194164311</pqid></control><display><type>article</type><title>Addressing drought tolerance in maize by transcriptional profiling and mapping</title><source>MEDLINE</source><source>SpringerLink Journals - AutoHoldings</source><creator>Marino, Rosanna ; Ponnaiah, Maharajah ; Krajewski, Pawel ; Frova, Carla ; Gianfranceschi, Luca ; Pè, M. Enrico ; Sari-Gorla, Mirella</creator><creatorcontrib>Marino, Rosanna ; Ponnaiah, Maharajah ; Krajewski, Pawel ; Frova, Carla ; Gianfranceschi, Luca ; Pè, M. Enrico ; Sari-Gorla, Mirella</creatorcontrib><description>In order to unravel the genetic architecture underlying plant response to drought, we adopted an integrated approach, combining transcript profiling and quantitative trait loci (QTL) mapping. In fact, improving plant tolerance to water stress is an important, but, at the same time, a difficult task, since plant tolerance is the result of many complex mechanisms acting at different levels of plant organization, and its genetic basis is largely unknown. The phenotypic data, concerning yield components and flowering time, of a population of 142 maize Recombinant Inbred Lines (RILs), grown under well watered conditions or under water stress, were submitted to linkage analysis to detect drought-tolerance QTLs. Thirty genomic regions containing 50 significant QTLs distributed on nine chromosomes were identified. At the same time, a customized targeted oligoarray was used to monitor the expression levels of 1,000 genes, representative of the immature maize kernel transcriptome. Using this DNA array we compared transcripts from 10 days after pollination kernels of two susceptible and two drought tolerant genotypes (extracted from our RILs) grown under control and water stress field conditions. Two hundred and fifty-two genes were significantly affected by stress in at least one genotype. From a set of these, 49 new molecular markers were developed. By mapping most of them and by in silico mapping other regulated sequences, 88 differentially expressed genes were localized onto our linkage map, which, added to the existing 186 markers, brought their total number on the map to 274. Twenty-two of the 88 differentially expressed genes mapped in the same chromosomal segments harbouring QTLs for tolerance, thus representing candidate genes for further functional studies.</description><identifier>ISSN: 1617-4615</identifier><identifier>EISSN: 1617-4623</identifier><identifier>DOI: 10.1007/s00438-008-0401-y</identifier><identifier>PMID: 19018570</identifier><language>eng</language><publisher>Berlin/Heidelberg: Springer-Verlag</publisher><subject>Abiotic stress ; Adaptation, Physiological ; Animal Genetics and Genomics ; Biochemistry ; Biomedical and Life Sciences ; Chromosome Mapping ; Chromosomes ; Drought ; Droughts ; Gene Expression Profiling ; Genes ; Genetic Linkage ; Genomics ; Human Genetics ; Integrated approach ; Life Sciences ; Microbial Genetics and Genomics ; Oligonucleotide Array Sequence Analysis ; Original Paper ; Plant Genetics and Genomics ; Plant growth ; Plant reproduction ; Plant tolerance ; Quantitative Trait Loci ; Transcription, Genetic ; Water shortages ; Zea mays ; Zea mays - genetics ; Zea mays - physiology</subject><ispartof>Molecular genetics and genomics : MGG, 2009-02, Vol.281 (2), p.163-179</ispartof><rights>Springer-Verlag 2008</rights><rights>Springer-Verlag 2009</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c401t-b4d023babb6e656ac5cb9a39f5586909d47dbf9d930ea283d9ab3e707831fa693</citedby><cites>FETCH-LOGICAL-c401t-b4d023babb6e656ac5cb9a39f5586909d47dbf9d930ea283d9ab3e707831fa693</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s00438-008-0401-y$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s00438-008-0401-y$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,780,784,27924,27925,41488,42557,51319</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/19018570$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Marino, Rosanna</creatorcontrib><creatorcontrib>Ponnaiah, Maharajah</creatorcontrib><creatorcontrib>Krajewski, Pawel</creatorcontrib><creatorcontrib>Frova, Carla</creatorcontrib><creatorcontrib>Gianfranceschi, Luca</creatorcontrib><creatorcontrib>Pè, M. Enrico</creatorcontrib><creatorcontrib>Sari-Gorla, Mirella</creatorcontrib><title>Addressing drought tolerance in maize by transcriptional profiling and mapping</title><title>Molecular genetics and genomics : MGG</title><addtitle>Mol Genet Genomics</addtitle><addtitle>Mol Genet Genomics</addtitle><description>In order to unravel the genetic architecture underlying plant response to drought, we adopted an integrated approach, combining transcript profiling and quantitative trait loci (QTL) mapping. In fact, improving plant tolerance to water stress is an important, but, at the same time, a difficult task, since plant tolerance is the result of many complex mechanisms acting at different levels of plant organization, and its genetic basis is largely unknown. The phenotypic data, concerning yield components and flowering time, of a population of 142 maize Recombinant Inbred Lines (RILs), grown under well watered conditions or under water stress, were submitted to linkage analysis to detect drought-tolerance QTLs. Thirty genomic regions containing 50 significant QTLs distributed on nine chromosomes were identified. At the same time, a customized targeted oligoarray was used to monitor the expression levels of 1,000 genes, representative of the immature maize kernel transcriptome. Using this DNA array we compared transcripts from 10 days after pollination kernels of two susceptible and two drought tolerant genotypes (extracted from our RILs) grown under control and water stress field conditions. Two hundred and fifty-two genes were significantly affected by stress in at least one genotype. From a set of these, 49 new molecular markers were developed. By mapping most of them and by in silico mapping other regulated sequences, 88 differentially expressed genes were localized onto our linkage map, which, added to the existing 186 markers, brought their total number on the map to 274. Twenty-two of the 88 differentially expressed genes mapped in the same chromosomal segments harbouring QTLs for tolerance, thus representing candidate genes for further functional studies.</description><subject>Abiotic stress</subject><subject>Adaptation, Physiological</subject><subject>Animal Genetics and Genomics</subject><subject>Biochemistry</subject><subject>Biomedical and Life Sciences</subject><subject>Chromosome Mapping</subject><subject>Chromosomes</subject><subject>Drought</subject><subject>Droughts</subject><subject>Gene Expression Profiling</subject><subject>Genes</subject><subject>Genetic Linkage</subject><subject>Genomics</subject><subject>Human Genetics</subject><subject>Integrated approach</subject><subject>Life Sciences</subject><subject>Microbial Genetics and Genomics</subject><subject>Oligonucleotide Array Sequence Analysis</subject><subject>Original Paper</subject><subject>Plant Genetics and Genomics</subject><subject>Plant growth</subject><subject>Plant reproduction</subject><subject>Plant tolerance</subject><subject>Quantitative Trait Loci</subject><subject>Transcription, Genetic</subject><subject>Water shortages</subject><subject>Zea mays</subject><subject>Zea mays - genetics</subject><subject>Zea mays - physiology</subject><issn>1617-4615</issn><issn>1617-4623</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2009</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><recordid>eNp9kUtLxDAUhYMozjj6A9xIcaGr6k3zapbD4AtEN7oOSZOOHTptTdpF_fVmmEFF0EXIJfc7J_dyEDrFcIUBxHUAoCRPAeKhgNNxD00xxyKlPCP7XzVmE3QUwgoAC56JQzTBEnDOBEzR09xa70KommVifTss3_qkb2vndVO4pGqSta4-XGLGpI9PofBV11dto-uk821Z1RudbmzEui7Wx-ig1HVwJ7t7hl5vb14W9-nj893DYv6YFnHOPjXUQkaMNoY7zrguWGGkJrJkLOcSpKXCmlJaScDpLCdWakOcAJETXGouyQxdbn3jFO-DC71aV6Fwda0b1w5B5YxQwSXLInnxL8l5LiiL_Ayd_wJX7eDjpkFhSTGnBOMI4S1U-DYE70rV-Wqt_agwqE0mapuJipmoTSZqjJqznfFg1s5-K3YhRCDbAiG2mqXzP37-0_UTKMCXjQ</recordid><startdate>20090201</startdate><enddate>20090201</enddate><creator>Marino, Rosanna</creator><creator>Ponnaiah, Maharajah</creator><creator>Krajewski, Pawel</creator><creator>Frova, Carla</creator><creator>Gianfranceschi, Luca</creator><creator>Pè, M. Enrico</creator><creator>Sari-Gorla, Mirella</creator><general>Springer-Verlag</general><general>Springer Nature B.V</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>7SS</scope><scope>7TK</scope><scope>7TM</scope><scope>7X7</scope><scope>7XB</scope><scope>88A</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>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>M7N</scope><scope>M7P</scope><scope>P64</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>RC3</scope><scope>7X8</scope></search><sort><creationdate>20090201</creationdate><title>Addressing drought tolerance in maize by transcriptional profiling and mapping</title><author>Marino, Rosanna ; Ponnaiah, Maharajah ; Krajewski, Pawel ; Frova, Carla ; Gianfranceschi, Luca ; Pè, M. Enrico ; Sari-Gorla, Mirella</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c401t-b4d023babb6e656ac5cb9a39f5586909d47dbf9d930ea283d9ab3e707831fa693</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2009</creationdate><topic>Abiotic stress</topic><topic>Adaptation, Physiological</topic><topic>Animal Genetics and Genomics</topic><topic>Biochemistry</topic><topic>Biomedical and Life Sciences</topic><topic>Chromosome Mapping</topic><topic>Chromosomes</topic><topic>Drought</topic><topic>Droughts</topic><topic>Gene Expression Profiling</topic><topic>Genes</topic><topic>Genetic Linkage</topic><topic>Genomics</topic><topic>Human Genetics</topic><topic>Integrated approach</topic><topic>Life Sciences</topic><topic>Microbial Genetics and Genomics</topic><topic>Oligonucleotide Array Sequence Analysis</topic><topic>Original Paper</topic><topic>Plant Genetics and Genomics</topic><topic>Plant growth</topic><topic>Plant reproduction</topic><topic>Plant tolerance</topic><topic>Quantitative Trait Loci</topic><topic>Transcription, Genetic</topic><topic>Water shortages</topic><topic>Zea mays</topic><topic>Zea mays - genetics</topic><topic>Zea mays - physiology</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Marino, Rosanna</creatorcontrib><creatorcontrib>Ponnaiah, Maharajah</creatorcontrib><creatorcontrib>Krajewski, Pawel</creatorcontrib><creatorcontrib>Frova, Carla</creatorcontrib><creatorcontrib>Gianfranceschi, Luca</creatorcontrib><creatorcontrib>Pè, M. Enrico</creatorcontrib><creatorcontrib>Sari-Gorla, Mirella</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>Entomology Abstracts (Full archive)</collection><collection>Neurosciences Abstracts</collection><collection>Nucleic Acids Abstracts</collection><collection>Health &amp; Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Biology Database (Alumni Edition)</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 Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Natural Science Collection</collection><collection>ProQuest One Community College</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>SciTech Premium Collection</collection><collection>ProQuest Health &amp; Medical Complete (Alumni)</collection><collection>ProQuest Biological Science Collection</collection><collection>Health &amp; Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Algology Mycology and Protozoology Abstracts (Microbiology C)</collection><collection>Biological Science Database</collection><collection>Biotechnology and BioEngineering Abstracts</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><jtitle>Molecular genetics and genomics : MGG</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Marino, Rosanna</au><au>Ponnaiah, Maharajah</au><au>Krajewski, Pawel</au><au>Frova, Carla</au><au>Gianfranceschi, Luca</au><au>Pè, M. Enrico</au><au>Sari-Gorla, Mirella</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Addressing drought tolerance in maize by transcriptional profiling and mapping</atitle><jtitle>Molecular genetics and genomics : MGG</jtitle><stitle>Mol Genet Genomics</stitle><addtitle>Mol Genet Genomics</addtitle><date>2009-02-01</date><risdate>2009</risdate><volume>281</volume><issue>2</issue><spage>163</spage><epage>179</epage><pages>163-179</pages><issn>1617-4615</issn><eissn>1617-4623</eissn><abstract>In order to unravel the genetic architecture underlying plant response to drought, we adopted an integrated approach, combining transcript profiling and quantitative trait loci (QTL) mapping. In fact, improving plant tolerance to water stress is an important, but, at the same time, a difficult task, since plant tolerance is the result of many complex mechanisms acting at different levels of plant organization, and its genetic basis is largely unknown. The phenotypic data, concerning yield components and flowering time, of a population of 142 maize Recombinant Inbred Lines (RILs), grown under well watered conditions or under water stress, were submitted to linkage analysis to detect drought-tolerance QTLs. Thirty genomic regions containing 50 significant QTLs distributed on nine chromosomes were identified. At the same time, a customized targeted oligoarray was used to monitor the expression levels of 1,000 genes, representative of the immature maize kernel transcriptome. Using this DNA array we compared transcripts from 10 days after pollination kernels of two susceptible and two drought tolerant genotypes (extracted from our RILs) grown under control and water stress field conditions. Two hundred and fifty-two genes were significantly affected by stress in at least one genotype. From a set of these, 49 new molecular markers were developed. By mapping most of them and by in silico mapping other regulated sequences, 88 differentially expressed genes were localized onto our linkage map, which, added to the existing 186 markers, brought their total number on the map to 274. Twenty-two of the 88 differentially expressed genes mapped in the same chromosomal segments harbouring QTLs for tolerance, thus representing candidate genes for further functional studies.</abstract><cop>Berlin/Heidelberg</cop><pub>Springer-Verlag</pub><pmid>19018570</pmid><doi>10.1007/s00438-008-0401-y</doi><tpages>17</tpages></addata></record>
fulltext fulltext
identifier ISSN: 1617-4615
ispartof Molecular genetics and genomics : MGG, 2009-02, Vol.281 (2), p.163-179
issn 1617-4615
1617-4623
language eng
recordid cdi_proquest_miscellaneous_853476952
source MEDLINE; SpringerLink Journals - AutoHoldings
subjects Abiotic stress
Adaptation, Physiological
Animal Genetics and Genomics
Biochemistry
Biomedical and Life Sciences
Chromosome Mapping
Chromosomes
Drought
Droughts
Gene Expression Profiling
Genes
Genetic Linkage
Genomics
Human Genetics
Integrated approach
Life Sciences
Microbial Genetics and Genomics
Oligonucleotide Array Sequence Analysis
Original Paper
Plant Genetics and Genomics
Plant growth
Plant reproduction
Plant tolerance
Quantitative Trait Loci
Transcription, Genetic
Water shortages
Zea mays
Zea mays - genetics
Zea mays - physiology
title Addressing drought tolerance in maize by transcriptional profiling and mapping
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-05T07%3A40%3A34IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Addressing%20drought%20tolerance%20in%20maize%20by%20transcriptional%20profiling%20and%20mapping&rft.jtitle=Molecular%20genetics%20and%20genomics%20:%20MGG&rft.au=Marino,%20Rosanna&rft.date=2009-02-01&rft.volume=281&rft.issue=2&rft.spage=163&rft.epage=179&rft.pages=163-179&rft.issn=1617-4615&rft.eissn=1617-4623&rft_id=info:doi/10.1007/s00438-008-0401-y&rft_dat=%3Cproquest_cross%3E853476952%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=194164311&rft_id=info:pmid/19018570&rfr_iscdi=true