Exponential mapping of quantitative trait loci governing allometric relationships in organisms.
Identifieur interne : 004453 ( Main/Exploration ); précédent : 004452; suivant : 004454Exponential mapping of quantitative trait loci governing allometric relationships in organisms.
Auteurs : Chang-Xing Ma [États-Unis] ; George Casella ; Ramon C. Littell ; André I. Khuri ; Rongling WuSource :
- Journal of mathematical biology [ 0303-6812 ] ; 2003.
Descripteurs français
- KwdFr :
- Algorithmes (MeSH), Animaux (MeSH), Biologie informatique (MeSH), Cartographie chromosomique (méthodes), Croisement consanguin (MeSH), Génotype (MeSH), Humains (MeSH), Locus de caractère quantitatif (génétique), Locus de caractère quantitatif (physiologie), Modèles génétiques (MeSH), Modèles statistiques (MeSH), Phénomènes physiologiques des plantes (MeSH), Phénotype (MeSH), Plantes (génétique), Populus (anatomie et histologie), Populus (génétique), Populus (physiologie), Simulation numérique (MeSH), Tiges de plante (anatomie et histologie), Tiges de plante (génétique), Tiges de plante (physiologie).
- MESH :
- anatomie et histologie : Populus, Tiges de plante.
- génétique : Locus de caractère quantitatif, Plantes, Populus, Tiges de plante.
- méthodes : Cartographie chromosomique.
- physiologie : Locus de caractère quantitatif, Populus, Tiges de plante.
- Algorithmes, Animaux, Biologie informatique, Croisement consanguin, Génotype, Humains, Modèles génétiques, Modèles statistiques, Phénomènes physiologiques des plantes, Phénotype, Simulation numérique.
English descriptors
- KwdEn :
- Algorithms (MeSH), Animals (MeSH), Chromosome Mapping (methods), Computational Biology (MeSH), Computer Simulation (MeSH), Genotype (MeSH), Humans (MeSH), Inbreeding (MeSH), Models, Genetic (MeSH), Models, Statistical (MeSH), Phenotype (MeSH), Plant Physiological Phenomena (MeSH), Plant Stems (anatomy & histology), Plant Stems (genetics), Plant Stems (physiology), Plants (genetics), Populus (anatomy & histology), Populus (genetics), Populus (physiology), Quantitative Trait Loci (genetics), Quantitative Trait Loci (physiology).
- MESH :
- anatomy & histology : Plant Stems, Populus.
- genetics : Plant Stems, Plants, Populus, Quantitative Trait Loci.
- methods : Chromosome Mapping.
- physiology : Plant Stems, Populus, Quantitative Trait Loci.
- Algorithms, Animals, Computational Biology, Computer Simulation, Genotype, Humans, Inbreeding, Models, Genetic, Models, Statistical, Phenotype, Plant Physiological Phenomena.
Abstract
Allometric scaling relationships or quarter-power rules, as a universal biological law, can be viewed as having some genetic component, and the particular genes (or quantitative trait loci, QTL) underlying these allometric relationships can be mapped using molecular markers. We develop a mathematical and statistical model for mapping allometric QTL on the basis of nonlinear power functions using Taylor's approximation theory. Simulation studies indicate that the QTL position and effect can be estimated using our model, but the estimation precision can be improved from the higher- over lower-order approximation when the sample size used and gene effects are small. The application of our approach in a real example from forest trees leads to successful detection of a QTL governing the allometric relationship between 3rd-year stem height and 3rd-year stem biomass. It is expected that our model will have broad implications for genetic, evolutionary, biomedical and breeding research.
DOI: 10.1007/s00285-003-0212-z
PubMed: 14523575
Affiliations:
Links toward previous steps (curation, corpus...)
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Littell</name></author><author><name sortKey="Khuri, Andre I" sort="Khuri, Andre I" uniqKey="Khuri A" first="André I" last="Khuri">André I. Khuri</name></author><author><name sortKey="Wu, Rongling" sort="Wu, Rongling" uniqKey="Wu R" first="Rongling" last="Wu">Rongling Wu</name></author></analytic><series><title level="j">Journal of mathematical biology</title><idno type="ISSN">0303-6812</idno><imprint><date when="2003" type="published">2003</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Algorithms (MeSH)</term><term>Animals (MeSH)</term><term>Chromosome Mapping (methods)</term><term>Computational Biology (MeSH)</term><term>Computer Simulation (MeSH)</term><term>Genotype (MeSH)</term><term>Humans (MeSH)</term><term>Inbreeding (MeSH)</term><term>Models, Genetic (MeSH)</term><term>Models, Statistical (MeSH)</term><term>Phenotype (MeSH)</term><term>Plant Physiological Phenomena (MeSH)</term><term>Plant Stems (anatomy & histology)</term><term>Plant Stems (genetics)</term><term>Plant Stems (physiology)</term><term>Plants (genetics)</term><term>Populus (anatomy & histology)</term><term>Populus (genetics)</term><term>Populus (physiology)</term><term>Quantitative Trait Loci (genetics)</term><term>Quantitative Trait Loci (physiology)</term></keywords><keywords scheme="KwdFr" xml:lang="fr"><term>Algorithmes (MeSH)</term><term>Animaux (MeSH)</term><term>Biologie informatique (MeSH)</term><term>Cartographie chromosomique (méthodes)</term><term>Croisement consanguin (MeSH)</term><term>Génotype (MeSH)</term><term>Humains (MeSH)</term><term>Locus de caractère quantitatif (génétique)</term><term>Locus de caractère quantitatif (physiologie)</term><term>Modèles génétiques (MeSH)</term><term>Modèles statistiques (MeSH)</term><term>Phénomènes physiologiques des plantes (MeSH)</term><term>Phénotype (MeSH)</term><term>Plantes (génétique)</term><term>Populus (anatomie et histologie)</term><term>Populus (génétique)</term><term>Populus (physiologie)</term><term>Simulation numérique (MeSH)</term><term>Tiges de plante (anatomie et histologie)</term><term>Tiges de plante (génétique)</term><term>Tiges de plante (physiologie)</term></keywords><keywords scheme="MESH" qualifier="anatomie et histologie" xml:lang="fr"><term>Populus</term><term>Tiges de plante</term></keywords><keywords scheme="MESH" qualifier="anatomy & histology" xml:lang="en"><term>Plant Stems</term><term>Populus</term></keywords><keywords scheme="MESH" qualifier="genetics" xml:lang="en"><term>Plant Stems</term><term>Plants</term><term>Populus</term><term>Quantitative Trait Loci</term></keywords><keywords scheme="MESH" qualifier="génétique" xml:lang="fr"><term>Locus de caractère quantitatif</term><term>Plantes</term><term>Populus</term><term>Tiges de plante</term></keywords><keywords scheme="MESH" qualifier="methods" xml:lang="en"><term>Chromosome Mapping</term></keywords><keywords scheme="MESH" qualifier="méthodes" xml:lang="fr"><term>Cartographie chromosomique</term></keywords><keywords scheme="MESH" qualifier="physiologie" xml:lang="fr"><term>Locus de caractère quantitatif</term><term>Populus</term><term>Tiges de plante</term></keywords><keywords scheme="MESH" qualifier="physiology" xml:lang="en"><term>Plant Stems</term><term>Populus</term><term>Quantitative Trait Loci</term></keywords><keywords scheme="MESH" xml:lang="en"><term>Algorithms</term><term>Animals</term><term>Computational Biology</term><term>Computer Simulation</term><term>Genotype</term><term>Humans</term><term>Inbreeding</term><term>Models, Genetic</term><term>Models, Statistical</term><term>Phenotype</term><term>Plant Physiological Phenomena</term></keywords><keywords scheme="MESH" xml:lang="fr"><term>Algorithmes</term><term>Animaux</term><term>Biologie informatique</term><term>Croisement consanguin</term><term>Génotype</term><term>Humains</term><term>Modèles génétiques</term><term>Modèles statistiques</term><term>Phénomènes physiologiques des plantes</term><term>Phénotype</term><term>Simulation numérique</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">Allometric scaling relationships or quarter-power rules, as a universal biological law, can be viewed as having some genetic component, and the particular genes (or quantitative trait loci, QTL) underlying these allometric relationships can be mapped using molecular markers. We develop a mathematical and statistical model for mapping allometric QTL on the basis of nonlinear power functions using Taylor's approximation theory. Simulation studies indicate that the QTL position and effect can be estimated using our model, but the estimation precision can be improved from the higher- over lower-order approximation when the sample size used and gene effects are small. The application of our approach in a real example from forest trees leads to successful detection of a QTL governing the allometric relationship between 3rd-year stem height and 3rd-year stem biomass. It is expected that our model will have broad implications for genetic, evolutionary, biomedical and breeding research.</div></front></TEI><pubmed><MedlineCitation Status="MEDLINE" Owner="NLM"><PMID Version="1">14523575</PMID><DateCompleted><Year>2004</Year><Month>07</Month><Day>13</Day></DateCompleted><DateRevised><Year>2018</Year><Month>11</Month><Day>13</Day></DateRevised><Article PubModel="Print-Electronic"><Journal><ISSN IssnType="Print">0303-6812</ISSN><JournalIssue CitedMedium="Print"><Volume>47</Volume><Issue>4</Issue><PubDate><Year>2003</Year><Month>Oct</Month></PubDate></JournalIssue><Title>Journal of mathematical biology</Title><ISOAbbreviation>J Math Biol</ISOAbbreviation></Journal><ArticleTitle>Exponential mapping of quantitative trait loci governing allometric relationships in organisms.</ArticleTitle><Pagination><MedlinePgn>313-24</MedlinePgn></Pagination><Abstract><AbstractText>Allometric scaling relationships or quarter-power rules, as a universal biological law, can be viewed as having some genetic component, and the particular genes (or quantitative trait loci, QTL) underlying these allometric relationships can be mapped using molecular markers. We develop a mathematical and statistical model for mapping allometric QTL on the basis of nonlinear power functions using Taylor's approximation theory. Simulation studies indicate that the QTL position and effect can be estimated using our model, but the estimation precision can be improved from the higher- over lower-order approximation when the sample size used and gene effects are small. The application of our approach in a real example from forest trees leads to successful detection of a QTL governing the allometric relationship between 3rd-year stem height and 3rd-year stem biomass. 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IdType="pubmed">11014835</ArticleId></ArticleIdList></Reference></ReferenceList></PubmedData></pubmed><affiliations><list><country><li>États-Unis</li></country><region><li>Floride</li></region></list><tree><noCountry><name sortKey="Casella, George" sort="Casella, George" uniqKey="Casella G" first="George" last="Casella">George Casella</name><name sortKey="Khuri, Andre I" sort="Khuri, Andre I" uniqKey="Khuri A" first="André I" last="Khuri">André I. Khuri</name><name sortKey="Littell, Ramon C" sort="Littell, Ramon C" uniqKey="Littell R" first="Ramon C" last="Littell">Ramon C. Littell</name><name sortKey="Wu, Rongling" sort="Wu, Rongling" uniqKey="Wu R" first="Rongling" last="Wu">Rongling Wu</name></noCountry><country name="États-Unis"><region name="Floride"><name sortKey="Ma, Chang Xing" sort="Ma, Chang Xing" uniqKey="Ma C" first="Chang-Xing" last="Ma">Chang-Xing Ma</name></region></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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