Linkage maps of grapevine displaying the chromosomal locations of 420 microsatellite markers and 82 markers for R-gene candidates
Genetic maps functionally oriented towards disease resistance have been constructed in grapevine by analysing with a simultaneous maximum-likelihood estimation of linkage 502 markers including microsatellites and resistance gene analogs (RGAs). Mapping material consisted of two pseudo-testcrosses, &...
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| Veröffentlicht in: | Theoretical and applied genetics 2007-05, Vol.114 (7), p.1249-1263 |
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| creator | Di Gaspero, G Cipriani, G Adam-Blondon, A.-F Testolin, R |
| description | Genetic maps functionally oriented towards disease resistance have been constructed in grapevine by analysing with a simultaneous maximum-likelihood estimation of linkage 502 markers including microsatellites and resistance gene analogs (RGAs). Mapping material consisted of two pseudo-testcrosses, 'Chardonnay' x 'Bianca' and 'Cabernet Sauvignon' x '20/3' where the seed parents were Vitis vinifera genotypes and the male parents were Vitis hybrids carrying resistance to mildew diseases. Individual maps included 320-364 markers each. The simultaneous use of two mapping crosses made with two pairs of distantly related parents allowed mapping as much as 91% of the markers tested. The integrated map included 420 Simple Sequence Repeat (SSR) markers that identified 536 SSR loci and 82 RGA markers that identified 173 RGA loci. This map consisted of 19 linkage groups (LGs) corresponding to the grape haploid chromosome number, had a total length of 1,676 cM and a mean distance between adjacent loci of 3.6 cM. Single-locus SSR markers were randomly distributed over the map (CD = 1.12). RGA markers were found in 18 of the 19 LGs but most of them (83%) were clustered on seven LGs, namely groups 3, 7, 9, 12, 13, 18 and 19. Several RGA clusters mapped to chromosomal regions where phenotypic traits of resistance to fungal diseases such as downy mildew and powdery mildew, bacterial diseases such as Pierce's disease, and pests such as dagger and root-knot nematode, were previously mapped in different segregating populations. The high number of RGA markers integrated into this new map will help find markers linked to genetic determinants of different pest and disease resistances in grape. |
| doi_str_mv | 10.1007/s00122-007-0516-2 |
| format | Article |
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Mapping material consisted of two pseudo-testcrosses, 'Chardonnay' x 'Bianca' and 'Cabernet Sauvignon' x '20/3' where the seed parents were Vitis vinifera genotypes and the male parents were Vitis hybrids carrying resistance to mildew diseases. Individual maps included 320-364 markers each. The simultaneous use of two mapping crosses made with two pairs of distantly related parents allowed mapping as much as 91% of the markers tested. The integrated map included 420 Simple Sequence Repeat (SSR) markers that identified 536 SSR loci and 82 RGA markers that identified 173 RGA loci. This map consisted of 19 linkage groups (LGs) corresponding to the grape haploid chromosome number, had a total length of 1,676 cM and a mean distance between adjacent loci of 3.6 cM. Single-locus SSR markers were randomly distributed over the map (CD = 1.12). RGA markers were found in 18 of the 19 LGs but most of them (83%) were clustered on seven LGs, namely groups 3, 7, 9, 12, 13, 18 and 19. Several RGA clusters mapped to chromosomal regions where phenotypic traits of resistance to fungal diseases such as downy mildew and powdery mildew, bacterial diseases such as Pierce's disease, and pests such as dagger and root-knot nematode, were previously mapped in different segregating populations. The high number of RGA markers integrated into this new map will help find markers linked to genetic determinants of different pest and disease resistances in grape.</description><identifier>ISSN: 0040-5752</identifier><identifier>EISSN: 1432-2242</identifier><identifier>DOI: 10.1007/s00122-007-0516-2</identifier><identifier>PMID: 17380315</identifier><identifier>CODEN: THAGA6</identifier><language>eng</language><publisher>Heidelberg: Berlin/Heidelberg : Springer-Verlag</publisher><subject>Biological and medical sciences ; Biomarkers ; Chromosome Mapping ; Chromosome number ; Chromosomes, Plant ; Classical genetics, quantitative genetics, hybrids ; Crop diseases ; Crosses, Genetic ; Disease ; Disease resistance ; Downy mildew ; Fundamental and applied biological sciences. Psychology ; Gene mapping ; Genes, Plant ; Genetic Linkage ; Genetic markers ; Genetic Techniques ; Genetics ; Genetics of eukaryotes. Biological and molecular evolution ; Genotype ; Genotypes ; Hybrids ; Life Sciences ; Microsatellite Repeats ; Microsatellites ; Models, Genetic ; Nematoda ; Pests ; Phylogeny ; Plant Diseases - genetics ; Plant Diseases - microbiology ; Plants - genetics ; Plants - microbiology ; Powdery mildew ; Pteridophyta, spermatophyta ; Vegetals ; Vitaceae ; Vitis ; Vitis - genetics ; Vitis vinifera</subject><ispartof>Theoretical and applied genetics, 2007-05, Vol.114 (7), p.1249-1263</ispartof><rights>2007 INIST-CNRS</rights><rights>Springer-Verlag 2007.</rights><rights>Distributed under a Creative Commons Attribution 4.0 International License</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c493t-45d8b388c6d0a9d23893fa21cf2839c89f3ffa2bff3456eabe62744258dc26a33</citedby><cites>FETCH-LOGICAL-c493t-45d8b388c6d0a9d23893fa21cf2839c89f3ffa2bff3456eabe62744258dc26a33</cites><orcidid>0000-0002-3412-9086</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>230,314,776,780,881,27903,27904</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=18739020$$DView record in Pascal Francis$$Hfree_for_read</backlink><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/17380315$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink><backlink>$$Uhttps://hal.inrae.fr/hal-02657364$$DView record in HAL$$Hfree_for_read</backlink></links><search><creatorcontrib>Di Gaspero, G</creatorcontrib><creatorcontrib>Cipriani, G</creatorcontrib><creatorcontrib>Adam-Blondon, A.-F</creatorcontrib><creatorcontrib>Testolin, R</creatorcontrib><title>Linkage maps of grapevine displaying the chromosomal locations of 420 microsatellite markers and 82 markers for R-gene candidates</title><title>Theoretical and applied genetics</title><addtitle>Theor Appl Genet</addtitle><description>Genetic maps functionally oriented towards disease resistance have been constructed in grapevine by analysing with a simultaneous maximum-likelihood estimation of linkage 502 markers including microsatellites and resistance gene analogs (RGAs). Mapping material consisted of two pseudo-testcrosses, 'Chardonnay' x 'Bianca' and 'Cabernet Sauvignon' x '20/3' where the seed parents were Vitis vinifera genotypes and the male parents were Vitis hybrids carrying resistance to mildew diseases. Individual maps included 320-364 markers each. The simultaneous use of two mapping crosses made with two pairs of distantly related parents allowed mapping as much as 91% of the markers tested. The integrated map included 420 Simple Sequence Repeat (SSR) markers that identified 536 SSR loci and 82 RGA markers that identified 173 RGA loci. This map consisted of 19 linkage groups (LGs) corresponding to the grape haploid chromosome number, had a total length of 1,676 cM and a mean distance between adjacent loci of 3.6 cM. Single-locus SSR markers were randomly distributed over the map (CD = 1.12). RGA markers were found in 18 of the 19 LGs but most of them (83%) were clustered on seven LGs, namely groups 3, 7, 9, 12, 13, 18 and 19. Several RGA clusters mapped to chromosomal regions where phenotypic traits of resistance to fungal diseases such as downy mildew and powdery mildew, bacterial diseases such as Pierce's disease, and pests such as dagger and root-knot nematode, were previously mapped in different segregating populations. The high number of RGA markers integrated into this new map will help find markers linked to genetic determinants of different pest and disease resistances in grape.</description><subject>Biological and medical sciences</subject><subject>Biomarkers</subject><subject>Chromosome Mapping</subject><subject>Chromosome number</subject><subject>Chromosomes, Plant</subject><subject>Classical genetics, quantitative genetics, hybrids</subject><subject>Crop diseases</subject><subject>Crosses, Genetic</subject><subject>Disease</subject><subject>Disease resistance</subject><subject>Downy mildew</subject><subject>Fundamental and applied biological sciences. Psychology</subject><subject>Gene mapping</subject><subject>Genes, Plant</subject><subject>Genetic Linkage</subject><subject>Genetic markers</subject><subject>Genetic Techniques</subject><subject>Genetics</subject><subject>Genetics of eukaryotes. Biological and molecular evolution</subject><subject>Genotype</subject><subject>Genotypes</subject><subject>Hybrids</subject><subject>Life Sciences</subject><subject>Microsatellite Repeats</subject><subject>Microsatellites</subject><subject>Models, Genetic</subject><subject>Nematoda</subject><subject>Pests</subject><subject>Phylogeny</subject><subject>Plant Diseases - genetics</subject><subject>Plant Diseases - microbiology</subject><subject>Plants - genetics</subject><subject>Plants - microbiology</subject><subject>Powdery mildew</subject><subject>Pteridophyta, spermatophyta</subject><subject>Vegetals</subject><subject>Vitaceae</subject><subject>Vitis</subject><subject>Vitis - genetics</subject><subject>Vitis vinifera</subject><issn>0040-5752</issn><issn>1432-2242</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2007</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>eNqFkcFu1DAQhiMEokvhAbiAhQQSh8B47CTOsapoi7QSEtCzNevYu26TeLGzlXrkzXHIqpW4cPKM_c0_M_6L4jWHTxyg-ZwAOGKZwxIqXpf4pFhxKbBElPi0WAFIKKumwpPiRUo3AIAViOfFCW-EAsGrVfF77cdb2lo20D6x4Ng20t7e-dGyzqd9T_d-3LJpZ5nZxTCEFAbqWR8MTT6MfyskAhu8iSHRZPveT7NYvLUxMRo7pvAhdSGy7-XWZnGTn3yXC9LL4pmjPtlXx_O0uL748vP8qlx_u_x6frYujWzFVMqqUxuhlKk7oLZDoVrhCLlxqERrVOuEy_nGOSGr2tLG1thIiZXqDNYkxGnxcdHdUa_30eeh7nUgr6_O1nq-A6yrRtTyjmf2w8LuY_h1sGnSg08mL0ejDYekG5BStbz-L4jQKskbzOC7f8CbcIhjXlirDCFXtcwQX6D5M1O07mFODnp2XC-O6zmcHdez8Juj8GEz2O6x4mhxBt4fAUqGehdpND49cqoRLSBk7u3COQqatjEz1z8QuMjN8r6VEH8A-Y67dA</recordid><startdate>20070501</startdate><enddate>20070501</enddate><creator>Di Gaspero, G</creator><creator>Cipriani, G</creator><creator>Adam-Blondon, A.-F</creator><creator>Testolin, R</creator><general>Berlin/Heidelberg : Springer-Verlag</general><general>Springer</general><general>Springer Nature B.V</general><general>Springer Verlag</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>3V.</scope><scope>7SS</scope><scope>7TK</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>M7P</scope><scope>P64</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>RC3</scope><scope>7QL</scope><scope>C1K</scope><scope>M7N</scope><scope>7X8</scope><scope>1XC</scope><orcidid>https://orcid.org/0000-0002-3412-9086</orcidid></search><sort><creationdate>20070501</creationdate><title>Linkage maps of grapevine displaying the chromosomal locations of 420 microsatellite markers and 82 markers for R-gene candidates</title><author>Di Gaspero, G ; Cipriani, G ; Adam-Blondon, A.-F ; Testolin, R</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c493t-45d8b388c6d0a9d23893fa21cf2839c89f3ffa2bff3456eabe62744258dc26a33</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2007</creationdate><topic>Biological and medical sciences</topic><topic>Biomarkers</topic><topic>Chromosome Mapping</topic><topic>Chromosome number</topic><topic>Chromosomes, Plant</topic><topic>Classical genetics, quantitative genetics, hybrids</topic><topic>Crop diseases</topic><topic>Crosses, Genetic</topic><topic>Disease</topic><topic>Disease resistance</topic><topic>Downy mildew</topic><topic>Fundamental and applied biological sciences. 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Biological and molecular evolution</topic><topic>Genotype</topic><topic>Genotypes</topic><topic>Hybrids</topic><topic>Life Sciences</topic><topic>Microsatellite Repeats</topic><topic>Microsatellites</topic><topic>Models, Genetic</topic><topic>Nematoda</topic><topic>Pests</topic><topic>Phylogeny</topic><topic>Plant Diseases - genetics</topic><topic>Plant Diseases - microbiology</topic><topic>Plants - genetics</topic><topic>Plants - microbiology</topic><topic>Powdery mildew</topic><topic>Pteridophyta, spermatophyta</topic><topic>Vegetals</topic><topic>Vitaceae</topic><topic>Vitis</topic><topic>Vitis - genetics</topic><topic>Vitis vinifera</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Di Gaspero, G</creatorcontrib><creatorcontrib>Cipriani, G</creatorcontrib><creatorcontrib>Adam-Blondon, A.-F</creatorcontrib><creatorcontrib>Testolin, R</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>ProQuest Central (Corporate)</collection><collection>Entomology Abstracts (Full archive)</collection><collection>Neurosciences Abstracts</collection><collection>Health & 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 & Medical Complete (Alumni)</collection><collection>ProQuest Biological Science Collection</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</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>Bacteriology Abstracts (Microbiology B)</collection><collection>Environmental Sciences and Pollution Management</collection><collection>Algology Mycology and Protozoology Abstracts (Microbiology C)</collection><collection>MEDLINE - Academic</collection><collection>Hyper Article en Ligne (HAL)</collection><jtitle>Theoretical and applied genetics</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Di Gaspero, G</au><au>Cipriani, G</au><au>Adam-Blondon, A.-F</au><au>Testolin, R</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Linkage maps of grapevine displaying the chromosomal locations of 420 microsatellite markers and 82 markers for R-gene candidates</atitle><jtitle>Theoretical and applied genetics</jtitle><addtitle>Theor Appl Genet</addtitle><date>2007-05-01</date><risdate>2007</risdate><volume>114</volume><issue>7</issue><spage>1249</spage><epage>1263</epage><pages>1249-1263</pages><issn>0040-5752</issn><eissn>1432-2242</eissn><coden>THAGA6</coden><abstract>Genetic maps functionally oriented towards disease resistance have been constructed in grapevine by analysing with a simultaneous maximum-likelihood estimation of linkage 502 markers including microsatellites and resistance gene analogs (RGAs). Mapping material consisted of two pseudo-testcrosses, 'Chardonnay' x 'Bianca' and 'Cabernet Sauvignon' x '20/3' where the seed parents were Vitis vinifera genotypes and the male parents were Vitis hybrids carrying resistance to mildew diseases. Individual maps included 320-364 markers each. The simultaneous use of two mapping crosses made with two pairs of distantly related parents allowed mapping as much as 91% of the markers tested. The integrated map included 420 Simple Sequence Repeat (SSR) markers that identified 536 SSR loci and 82 RGA markers that identified 173 RGA loci. This map consisted of 19 linkage groups (LGs) corresponding to the grape haploid chromosome number, had a total length of 1,676 cM and a mean distance between adjacent loci of 3.6 cM. Single-locus SSR markers were randomly distributed over the map (CD = 1.12). RGA markers were found in 18 of the 19 LGs but most of them (83%) were clustered on seven LGs, namely groups 3, 7, 9, 12, 13, 18 and 19. Several RGA clusters mapped to chromosomal regions where phenotypic traits of resistance to fungal diseases such as downy mildew and powdery mildew, bacterial diseases such as Pierce's disease, and pests such as dagger and root-knot nematode, were previously mapped in different segregating populations. The high number of RGA markers integrated into this new map will help find markers linked to genetic determinants of different pest and disease resistances in grape.</abstract><cop>Heidelberg</cop><cop>Berlin</cop><pub>Berlin/Heidelberg : Springer-Verlag</pub><pmid>17380315</pmid><doi>10.1007/s00122-007-0516-2</doi><tpages>15</tpages><orcidid>https://orcid.org/0000-0002-3412-9086</orcidid></addata></record> |
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| subjects | Biological and medical sciences Biomarkers Chromosome Mapping Chromosome number Chromosomes, Plant Classical genetics, quantitative genetics, hybrids Crop diseases Crosses, Genetic Disease Disease resistance Downy mildew Fundamental and applied biological sciences. Psychology Gene mapping Genes, Plant Genetic Linkage Genetic markers Genetic Techniques Genetics Genetics of eukaryotes. Biological and molecular evolution Genotype Genotypes Hybrids Life Sciences Microsatellite Repeats Microsatellites Models, Genetic Nematoda Pests Phylogeny Plant Diseases - genetics Plant Diseases - microbiology Plants - genetics Plants - microbiology Powdery mildew Pteridophyta, spermatophyta Vegetals Vitaceae Vitis Vitis - genetics Vitis vinifera |
| title | Linkage maps of grapevine displaying the chromosomal locations of 420 microsatellite markers and 82 markers for R-gene candidates |
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