Genome-Wide High-Resolution Mapping by Recurrent Intermating Using Arabidopsis Thaliana as a Model
Identifieur interne : 000155 ( Pmc/Corpus ); précédent : 000154; suivant : 000156Genome-Wide High-Resolution Mapping by Recurrent Intermating Using Arabidopsis Thaliana as a Model
Auteurs : S. C. Liu ; S. P. Kowalski ; T. H. Lan ; K. A. Feldmann ; A. H. PatersonSource :
- Genetics [ 0016-6731 ] ; 1996.
Abstract
We demonstrate a method for developing populations suitable for genome-wide high-resolution genetic linkage mapping, by recurrent intermating among F(2) individuals derived from crosses between homozygous parents. Comparison of intermated progenies to F(2) and ``recombinant inbred'' (RI) populations from the same pedigree corroborate theoretical expectations that progenies intermated for four generations harbor about threefold more information for estimating recombination fraction between closely linked markers than either RI-selfed or F(2) individuals (which are, in fact, equivalent in this regard). Although intermated populations are heterozygous, homozygous ``intermated recombinant inbred'' (IRI) populations can readily be generated, combining additional information afforded by intermating with the permanence of RI populations. Intermated populations permit fine-mapping of genetic markers throughout a genome, helping to bridge the gap between genetic map resolution and the DNA-carrying capacity of modern cloning vectors, thus facilitating merger of genetic and physical maps. Intermating can also facilitate high-resolution mapping of genes and QTLs, accelerating map-based cloning. Finally, intermated populations will facilitate investigation of other fundamental genetic questions requiring a genome-wide high-resolution analysis, such as comparative mapping of distantly related species, and the genetic basis of heterosis.
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PubMed: 8770602
PubMed Central: 1206953
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<record><TEI><teiHeader><fileDesc><titleStmt><title xml:lang="en">Genome-Wide High-Resolution Mapping by Recurrent Intermating Using Arabidopsis Thaliana as a Model</title><author><name sortKey="Liu, S C" sort="Liu, S C" uniqKey="Liu S" first="S. C." last="Liu">S. C. Liu</name></author><author><name sortKey="Kowalski, S P" sort="Kowalski, S P" uniqKey="Kowalski S" first="S. P." last="Kowalski">S. P. Kowalski</name></author><author><name sortKey="Lan, T H" sort="Lan, T H" uniqKey="Lan T" first="T. H." last="Lan">T. H. Lan</name></author><author><name sortKey="Feldmann, K A" sort="Feldmann, K A" uniqKey="Feldmann K" first="K. A." last="Feldmann">K. A. Feldmann</name></author><author><name sortKey="Paterson, A H" sort="Paterson, A H" uniqKey="Paterson A" first="A. H." last="Paterson">A. H. Paterson</name></author></titleStmt><publicationStmt><idno type="wicri:source">PMC</idno><idno type="pmid">8770602</idno><idno type="pmc">1206953</idno><idno type="url">http://www.ncbi.nlm.nih.gov/pmc/articles/PMC1206953</idno><idno type="RBID">PMC:1206953</idno><date when="1996">1996</date><idno type="wicri:Area/Pmc/Corpus">000155</idno><idno type="wicri:explorRef" wicri:stream="Pmc" wicri:step="Corpus" wicri:corpus="PMC">000155</idno></publicationStmt><sourceDesc><biblStruct><analytic><title xml:lang="en" level="a" type="main">Genome-Wide High-Resolution Mapping by Recurrent Intermating Using Arabidopsis Thaliana as a Model</title><author><name sortKey="Liu, S C" sort="Liu, S C" uniqKey="Liu S" first="S. C." last="Liu">S. C. Liu</name></author><author><name sortKey="Kowalski, S P" sort="Kowalski, S P" uniqKey="Kowalski S" first="S. P." last="Kowalski">S. P. Kowalski</name></author><author><name sortKey="Lan, T H" sort="Lan, T H" uniqKey="Lan T" first="T. H." last="Lan">T. H. Lan</name></author><author><name sortKey="Feldmann, K A" sort="Feldmann, K A" uniqKey="Feldmann K" first="K. A." last="Feldmann">K. A. Feldmann</name></author><author><name sortKey="Paterson, A H" sort="Paterson, A H" uniqKey="Paterson A" first="A. H." last="Paterson">A. H. Paterson</name></author></analytic><series><title level="j">Genetics</title><idno type="ISSN">0016-6731</idno><imprint><date when="1996">1996</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en"><p>We demonstrate a method for developing populations suitable for genome-wide high-resolution genetic linkage mapping, by recurrent intermating among F(2) individuals derived from crosses between homozygous parents. Comparison of intermated progenies to F(2) and ``recombinant inbred'' (RI) populations from the same pedigree corroborate theoretical expectations that progenies intermated for four generations harbor about threefold more information for estimating recombination fraction between closely linked markers than either RI-selfed or F(2) individuals (which are, in fact, equivalent in this regard). Although intermated populations are heterozygous, homozygous ``intermated recombinant inbred'' (IRI) populations can readily be generated, combining additional information afforded by intermating with the permanence of RI populations. Intermated populations permit fine-mapping of genetic markers throughout a genome, helping to bridge the gap between genetic map resolution and the DNA-carrying capacity of modern cloning vectors, thus facilitating merger of genetic and physical maps. Intermating can also facilitate high-resolution mapping of genes and QTLs, accelerating map-based cloning. Finally, intermated populations will facilitate investigation of other fundamental genetic questions requiring a genome-wide high-resolution analysis, such as comparative mapping of distantly related species, and the genetic basis of heterosis.</p></div></front></TEI><pmc article-type="research-article"><pmc-comment>The publisher of this article does not allow downloading of the full text in XML form.</pmc-comment>
<front><journal-meta><journal-id journal-id-type="nlm-ta">Genetics</journal-id><journal-title>Genetics</journal-title><issn pub-type="ppub">0016-6731</issn></journal-meta><article-meta><article-id pub-id-type="pmid">8770602</article-id><article-id pub-id-type="pmc">1206953</article-id><article-id pub-id-type="publisher-id">1421247</article-id><article-categories><subj-group subj-group-type="heading"><subject>Investigations</subject></subj-group></article-categories><title-group><article-title>Genome-Wide High-Resolution Mapping by Recurrent Intermating Using Arabidopsis Thaliana as a Model</article-title></title-group><contrib-group><contrib contrib-type="author"><name><surname>Liu</surname><given-names>S. C.</given-names></name></contrib><contrib contrib-type="author"><name><surname>Kowalski</surname><given-names>S. P.</given-names></name></contrib><contrib contrib-type="author"><name><surname>Lan</surname><given-names>T. H.</given-names></name></contrib><contrib contrib-type="author"><name><surname>Feldmann</surname><given-names>K. A.</given-names></name></contrib><contrib contrib-type="author"><name><surname>Paterson</surname><given-names>A. H.</given-names></name></contrib><aff>Department of Soil and Crop Sciences, Texas A & M University, College Station, Texas 77843-2474</aff></contrib-group><pub-date pub-type="ppub"><month>01</month><year>1996</year></pub-date><volume>142</volume><issue>1</issue><fpage>247</fpage><lpage>258</lpage><abstract><p>We demonstrate a method for developing populations suitable for genome-wide high-resolution genetic linkage mapping, by recurrent intermating among F(2) individuals derived from crosses between homozygous parents. Comparison of intermated progenies to F(2) and ``recombinant inbred'' (RI) populations from the same pedigree corroborate theoretical expectations that progenies intermated for four generations harbor about threefold more information for estimating recombination fraction between closely linked markers than either RI-selfed or F(2) individuals (which are, in fact, equivalent in this regard). Although intermated populations are heterozygous, homozygous ``intermated recombinant inbred'' (IRI) populations can readily be generated, combining additional information afforded by intermating with the permanence of RI populations. Intermated populations permit fine-mapping of genetic markers throughout a genome, helping to bridge the gap between genetic map resolution and the DNA-carrying capacity of modern cloning vectors, thus facilitating merger of genetic and physical maps. Intermating can also facilitate high-resolution mapping of genes and QTLs, accelerating map-based cloning. Finally, intermated populations will facilitate investigation of other fundamental genetic questions requiring a genome-wide high-resolution analysis, such as comparative mapping of distantly related species, and the genetic basis of heterosis.</p></abstract></article-meta></front></pmc></record>Pour manipuler ce document sous Unix (Dilib)
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