Identification of Quantitative Trait Loci Conditioning the Main Biomass Yield Components and Resistance to Melampsora spp. in Salix viminalis × Salix schwerinii Hybrids.
Identifieur interne : 000284 ( Main/Exploration ); précédent : 000283; suivant : 000285Identification of Quantitative Trait Loci Conditioning the Main Biomass Yield Components and Resistance to Melampsora spp. in Salix viminalis × Salix schwerinii Hybrids.
Auteurs : Paweł Sulima [Pologne] ; Jerzy A. Przyborowski [Pologne] ; Anna Kuszewska [Pologne] ; Dariusz Załuski [Pologne] ; Małgorzata J Dryczka [Pologne] ; Witold Irzykowski [Pologne]Source :
- International journal of molecular sciences [ 1422-0067 ] ; 2017.
Descripteurs français
- KwdFr :
- Basidiomycota (MeSH), Biomasse (MeSH), Caractère quantitatif héréditaire (MeSH), Cartographie chromosomique (MeSH), Chimère (MeSH), Liaison génétique (MeSH), Locus de caractère quantitatif (MeSH), Maladies des plantes (génétique), Maladies des plantes (immunologie), Maladies des plantes (microbiologie), Prédisposition aux maladies (MeSH), Résistance à la maladie (génétique), Salix (génétique), Salix (microbiologie), Études d'associations génétiques (MeSH).
- MESH :
- génétique : Maladies des plantes, Résistance à la maladie, Salix.
- immunologie : Maladies des plantes.
- microbiologie : Maladies des plantes, Salix.
- Basidiomycota, Biomasse, Caractère quantitatif héréditaire, Cartographie chromosomique, Chimère, Liaison génétique, Locus de caractère quantitatif, Prédisposition aux maladies, Études d'associations génétiques.
English descriptors
- KwdEn :
- Basidiomycota (MeSH), Biomass (MeSH), Chimera (MeSH), Chromosome Mapping (MeSH), Disease Resistance (genetics), Disease Susceptibility (MeSH), Genetic Association Studies (MeSH), Genetic Linkage (MeSH), Plant Diseases (genetics), Plant Diseases (immunology), Plant Diseases (microbiology), Quantitative Trait Loci (MeSH), Quantitative Trait, Heritable (MeSH), Salix (genetics), Salix (microbiology).
- MESH :
- genetics : Disease Resistance, Plant Diseases, Salix.
- immunology : Plant Diseases.
- microbiology : Plant Diseases, Salix.
- Basidiomycota, Biomass, Chimera, Chromosome Mapping, Disease Susceptibility, Genetic Association Studies, Genetic Linkage, Quantitative Trait Loci, Quantitative Trait, Heritable.
Abstract
The biomass of Salix viminalis is the most highly valued source of green energy, followed by S. schwerinii, S. dasyclados and other species. Significant variability in productivity and leaf rust resistance are noted both within and among willow species, which creates new opportunities for improving willow yield parameters through selection of desirable recombinants supported with molecular markers. The aim of this study was to identify quantitative trait loci (QTLs) linked with biomass yield-related traits and the resistance/susceptibility of Salix mapping population to leaf rust. The experimental material comprised a mapping population developed based on S. viminalis × S. schwerinii hybrids. Phenotyping was performed on plants grown in a field experiment that had a balanced incomplete block design with 10 replications. Based on a genetic map, 11 QTLs were identified for plant height, 9 for shoot diameter, 3 for number of shoots and 11 for resistance/susceptibility to leaf rust. The QTLs identified in our study explained 3%-16% of variability in the analyzed traits. Our findings make significant contributions to the development of willow breeding programs and research into shrubby willow crops grown for energy.
DOI: 10.3390/ijms18030677
PubMed: 28327519
PubMed Central: PMC5372687
Affiliations:
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sciences</title><idno type="eISSN">1422-0067</idno><imprint><date when="2017" type="published">2017</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Basidiomycota (MeSH)</term><term>Biomass (MeSH)</term><term>Chimera (MeSH)</term><term>Chromosome Mapping (MeSH)</term><term>Disease Resistance (genetics)</term><term>Disease Susceptibility (MeSH)</term><term>Genetic Association Studies (MeSH)</term><term>Genetic Linkage (MeSH)</term><term>Plant Diseases (genetics)</term><term>Plant Diseases (immunology)</term><term>Plant Diseases (microbiology)</term><term>Quantitative Trait Loci (MeSH)</term><term>Quantitative Trait, Heritable (MeSH)</term><term>Salix (genetics)</term><term>Salix (microbiology)</term></keywords><keywords scheme="KwdFr" xml:lang="fr"><term>Basidiomycota (MeSH)</term><term>Biomasse (MeSH)</term><term>Caractère quantitatif héréditaire (MeSH)</term><term>Cartographie chromosomique (MeSH)</term><term>Chimère (MeSH)</term><term>Liaison génétique (MeSH)</term><term>Locus de caractère quantitatif (MeSH)</term><term>Maladies des plantes (génétique)</term><term>Maladies des plantes (immunologie)</term><term>Maladies des plantes (microbiologie)</term><term>Prédisposition aux maladies (MeSH)</term><term>Résistance à la maladie (génétique)</term><term>Salix (génétique)</term><term>Salix (microbiologie)</term><term>Études d'associations génétiques (MeSH)</term></keywords><keywords scheme="MESH" qualifier="genetics" xml:lang="en"><term>Disease Resistance</term><term>Plant Diseases</term><term>Salix</term></keywords><keywords scheme="MESH" qualifier="génétique" xml:lang="fr"><term>Maladies des plantes</term><term>Résistance à la maladie</term><term>Salix</term></keywords><keywords scheme="MESH" qualifier="immunologie" xml:lang="fr"><term>Maladies des plantes</term></keywords><keywords scheme="MESH" qualifier="immunology" xml:lang="en"><term>Plant Diseases</term></keywords><keywords scheme="MESH" qualifier="microbiologie" xml:lang="fr"><term>Maladies des plantes</term><term>Salix</term></keywords><keywords scheme="MESH" qualifier="microbiology" xml:lang="en"><term>Plant Diseases</term><term>Salix</term></keywords><keywords scheme="MESH" xml:lang="en"><term>Basidiomycota</term><term>Biomass</term><term>Chimera</term><term>Chromosome Mapping</term><term>Disease Susceptibility</term><term>Genetic Association Studies</term><term>Genetic Linkage</term><term>Quantitative Trait Loci</term><term>Quantitative Trait, Heritable</term></keywords><keywords scheme="MESH" xml:lang="fr"><term>Basidiomycota</term><term>Biomasse</term><term>Caractère quantitatif héréditaire</term><term>Cartographie chromosomique</term><term>Chimère</term><term>Liaison génétique</term><term>Locus de caractère quantitatif</term><term>Prédisposition aux maladies</term><term>Études d'associations génétiques</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">The biomass of <i>Salix viminalis</i> is the most highly valued source of green energy, followed by <i>S. schwerinii</i>, <i>S. dasyclados</i> and other species. Significant variability in productivity and leaf rust resistance are noted both within and among willow species, which creates new opportunities for improving willow yield parameters through selection of desirable recombinants supported with molecular markers. The aim of this study was to identify quantitative trait loci (QTLs) linked with biomass yield-related traits and the resistance/susceptibility of <i>Salix</i> mapping population to leaf rust. The experimental material comprised a mapping population developed based on <i>S. viminalis</i> × <i>S. schwerinii</i> hybrids. Phenotyping was performed on plants grown in a field experiment that had a balanced incomplete block design with 10 replications. Based on a genetic map, 11 QTLs were identified for plant height, 9 for shoot diameter, 3 for number of shoots and 11 for resistance/susceptibility to leaf rust. The QTLs identified in our study explained 3%-16% of variability in the analyzed traits. Our findings make significant contributions to the development of willow breeding programs and research into shrubby willow crops grown for energy.</div></front></TEI><pubmed><MedlineCitation Status="MEDLINE" Owner="NLM"><PMID Version="1">28327519</PMID><DateCompleted><Year>2017</Year><Month>04</Month><Day>20</Day></DateCompleted><DateRevised><Year>2018</Year><Month>11</Month><Day>13</Day></DateRevised><Article PubModel="Electronic"><Journal><ISSN IssnType="Electronic">1422-0067</ISSN><JournalIssue CitedMedium="Internet"><Volume>18</Volume><Issue>3</Issue><PubDate><Year>2017</Year><Month>Mar</Month><Day>22</Day></PubDate></JournalIssue><Title>International journal of molecular sciences</Title><ISOAbbreviation>Int J Mol Sci</ISOAbbreviation></Journal><ArticleTitle>Identification of Quantitative Trait Loci Conditioning the Main Biomass Yield Components and Resistance to Melampsora spp. in Salix viminalis × Salix schwerinii Hybrids.</ArticleTitle><ELocationID EIdType="pii" ValidYN="Y">E677</ELocationID><ELocationID EIdType="doi" ValidYN="Y">10.3390/ijms18030677</ELocationID><Abstract><AbstractText>The biomass of <i>Salix viminalis</i> is the most highly valued source of green energy, followed by <i>S. schwerinii</i>, <i>S. dasyclados</i> and other species. Significant variability in productivity and leaf rust resistance are noted both within and among willow species, which creates new opportunities for improving willow yield parameters through selection of desirable recombinants supported with molecular markers. The aim of this study was to identify quantitative trait loci (QTLs) linked with biomass yield-related traits and the resistance/susceptibility of <i>Salix</i> mapping population to leaf rust. The experimental material comprised a mapping population developed based on <i>S. viminalis</i> × <i>S. schwerinii</i> hybrids. Phenotyping was performed on plants grown in a field experiment that had a balanced incomplete block design with 10 replications. Based on a genetic map, 11 QTLs were identified for plant height, 9 for shoot diameter, 3 for number of shoots and 11 for resistance/susceptibility to leaf rust. The QTLs identified in our study explained 3%-16% of variability in the analyzed traits. Our findings make significant contributions to the development of willow breeding programs and research into shrubby willow crops grown for energy.</AbstractText></Abstract><AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Sulima</LastName><ForeName>Paweł</ForeName><Initials>P</Initials><AffiliationInfo><Affiliation>Department of Plant Breeding and Seed Production, University of Warmia and Mazury in Olsztyn, Plac Łódzki 3, 10-724 Olsztyn, Poland. pawel.sulima@uwm.edu.pl.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Przyborowski</LastName><ForeName>Jerzy A</ForeName><Initials>JA</Initials><AffiliationInfo><Affiliation>Department of Plant Breeding and Seed Production, University of Warmia and Mazury in Olsztyn, Plac Łódzki 3, 10-724 Olsztyn, Poland. jerzy.przyborowski@uwm.edu.pl.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Kuszewska</LastName><ForeName>Anna</ForeName><Initials>A</Initials><AffiliationInfo><Affiliation>Department of Plant Breeding and Seed Production, University of Warmia and Mazury in Olsztyn, Plac Łódzki 3, 10-724 Olsztyn, Poland. anna.kuszewska@uwm.edu.pl.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Załuski</LastName><ForeName>Dariusz</ForeName><Initials>D</Initials><AffiliationInfo><Affiliation>Department of Plant Breeding and Seed Production, University of Warmia and Mazury in Olsztyn, Plac Łódzki 3, 10-724 Olsztyn, Poland. dariusz.zaluski@uwm.edu.pl.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Jędryczka</LastName><ForeName>Małgorzata</ForeName><Initials>M</Initials><AffiliationInfo><Affiliation>Institute of Plant Genetics, Polish Academy of Sciences, Strzeszyńska 34, 60-479 Poznań, Poland. mjed@igr.poznan.pl.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Irzykowski</LastName><ForeName>Witold</ForeName><Initials>W</Initials><AffiliationInfo><Affiliation>Institute of Plant Genetics, Polish Academy of Sciences, Strzeszyńska 34, 60-479 Poznań, Poland. wirz@igr.poznan.pl.</Affiliation></AffiliationInfo></Author></AuthorList><Language>eng</Language><PublicationTypeList><PublicationType UI="D016428">Journal Article</PublicationType></PublicationTypeList><ArticleDate DateType="Electronic"><Year>2017</Year><Month>03</Month><Day>22</Day></ArticleDate></Article><MedlineJournalInfo><Country>Switzerland</Country><MedlineTA>Int J Mol Sci</MedlineTA><NlmUniqueID>101092791</NlmUniqueID><ISSNLinking>1422-0067</ISSNLinking></MedlineJournalInfo><CitationSubset>IM</CitationSubset><MeshHeadingList><MeshHeading><DescriptorName UI="D001487" MajorTopicYN="Y">Basidiomycota</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D018533" MajorTopicYN="Y">Biomass</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D002678" MajorTopicYN="Y">Chimera</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D002874" MajorTopicYN="N">Chromosome Mapping</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D060467" MajorTopicYN="N">Disease Resistance</DescriptorName><QualifierName UI="Q000235" MajorTopicYN="Y">genetics</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D004198" MajorTopicYN="N">Disease Susceptibility</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D056726" MajorTopicYN="N">Genetic Association Studies</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D008040" MajorTopicYN="N">Genetic Linkage</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D010935" MajorTopicYN="N">Plant Diseases</DescriptorName><QualifierName UI="Q000235" MajorTopicYN="N">genetics</QualifierName><QualifierName UI="Q000276" MajorTopicYN="N">immunology</QualifierName><QualifierName UI="Q000382" MajorTopicYN="N">microbiology</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D040641" MajorTopicYN="Y">Quantitative Trait 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first="Jerzy A" last="Przyborowski">Jerzy A. Przyborowski</name><name sortKey="Zaluski, Dariusz" sort="Zaluski, Dariusz" uniqKey="Zaluski D" first="Dariusz" last="Załuski">Dariusz Załuski</name></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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