Molecular charactarization of wheat advanced lines for leaf rust resistant genes using SSR markers.
Identifieur interne : 000166 ( Main/Exploration ); précédent : 000165; suivant : 000167Molecular charactarization of wheat advanced lines for leaf rust resistant genes using SSR markers.
Auteurs : Bahar Ali [Pakistan] ; Iqbal Munir [Pakistan] ; Aqib Iqbal [Pakistan] ; Mian Afaq Ahmad [Pakistan] ; Iram Maqsood [République populaire de Chine] ; Muhammad Hafeez [Pakistan]Source :
- Microbial pathogenesis [ 1096-1208 ] ; 2018.
Descripteurs français
- KwdFr :
- ADN des plantes (génétique), Analyse de regroupements (MeSH), Basidiomycota (pathogénicité), Feuilles de plante (génétique), Feuilles de plante (microbiologie), Fréquence d'allèle (MeSH), Gènes de plante (génétique), Locus génétiques (MeSH), Maladies des plantes (génétique), Maladies des plantes (microbiologie), Marqueurs génétiques (génétique), Résistance à la maladie (génétique), Triticum (génétique), Triticum (microbiologie).
- MESH :
- génétique : ADN des plantes, Feuilles de plante, Gènes de plante, Maladies des plantes, Marqueurs génétiques, Résistance à la maladie, Triticum.
- microbiologie : Feuilles de plante, Maladies des plantes, Triticum.
- pathogénicité : Basidiomycota.
- Analyse de regroupements, Fréquence d'allèle, Locus génétiques.
English descriptors
- KwdEn :
- Basidiomycota (pathogenicity), Cluster Analysis (MeSH), DNA, Plant (genetics), Disease Resistance (genetics), Gene Frequency (MeSH), Genes, Plant (genetics), Genetic Loci (MeSH), Genetic Markers (genetics), Plant Diseases (genetics), Plant Diseases (microbiology), Plant Leaves (genetics), Plant Leaves (microbiology), Triticum (genetics), Triticum (microbiology).
- MESH :
- chemical , genetics : DNA, Plant, Genetic Markers.
- genetics : Disease Resistance, Genes, Plant, Plant Diseases, Plant Leaves, Triticum.
- microbiology : Plant Diseases, Plant Leaves, Triticum.
- pathogenicity : Basidiomycota.
- Cluster Analysis, Gene Frequency, Genetic Loci.
Abstract
A total of fifty seven wheat advanced lines were screened to detect the existence of leaf rust resistant genes (Lr9, Lr13, Lr19, Lr24, Lr26, Lr28, Lr32, Lr34, Lr35, Lr36, Lr37, Lr39 and Lr46) using thirteen SSR markers. Only four markers for Lr13, Lr32, Lr34 and Lr35 produced separate, reproducible bands which indicated the positive linkage of leaf rust resistance with these SSR markers. The highest frequency was observed for Lr32 (100%), as it was detected in all fifty seven lines, followed by Lr34 (89.4%) in 51 lines, Lr35 (87.7%) in 50 lines and Lr13 (31.5%) in 18 lines respectively. All the four resistant genes were identified in fifteen lines which is only 26% of the studied population. These results indicate that there are limited number of variant genes for leaf rust resistance in the studied wheat advanced lines. Therefore, strategies for arraying these genes to lengthen infection resistance are advised to eliminate wheat rust diseases. In addition, more reliable and capable markers are essential to be settled for marker assisted selection of these and other genes.
DOI: 10.1016/j.micpath.2018.07.029
PubMed: 30053601
Affiliations:
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Electronic address: iqmunir@hotmail.com.</nlm:affiliation><country xml:lang="fr">Pakistan</country><wicri:regionArea>Institute of Biotechnology and Genetic Engineering, Faculty of Crop Production Sciences, The University of Agriculture, Peshawar, 25130</wicri:regionArea><wicri:noRegion>25130</wicri:noRegion></affiliation></author><author><name sortKey="Iqbal, Aqib" sort="Iqbal, Aqib" uniqKey="Iqbal A" first="Aqib" last="Iqbal">Aqib Iqbal</name><affiliation wicri:level="1"><nlm:affiliation>Institute of Biotechnology and Genetic Engineering, Faculty of Crop Production Sciences, The University of Agriculture, Peshawar, 25130, Pakistan.</nlm:affiliation><country xml:lang="fr">Pakistan</country><wicri:regionArea>Institute of Biotechnology and Genetic Engineering, Faculty of Crop Production Sciences, The University of Agriculture, Peshawar, 25130</wicri:regionArea><wicri:noRegion>25130</wicri:noRegion></affiliation></author><author><name sortKey="Ahmad, Mian Afaq" sort="Ahmad, Mian Afaq" uniqKey="Ahmad M" first="Mian Afaq" last="Ahmad">Mian Afaq Ahmad</name><affiliation wicri:level="1"><nlm:affiliation>Institute of Biotechnology and Genetic Engineering, Faculty of Crop Production Sciences, The University of Agriculture, Peshawar, 25130, Pakistan.</nlm:affiliation><country xml:lang="fr">Pakistan</country><wicri:regionArea>Institute of Biotechnology and Genetic Engineering, Faculty of Crop Production Sciences, The University of Agriculture, Peshawar, 25130</wicri:regionArea><wicri:noRegion>25130</wicri:noRegion></affiliation></author><author><name sortKey="Maqsood, Iram" sort="Maqsood, Iram" uniqKey="Maqsood I" first="Iram" last="Maqsood">Iram Maqsood</name><affiliation wicri:level="1"><nlm:affiliation>College of Wildlife Resources, Northeast Forestry University, Xiang Fang District, Harbin City, Hexing Road 59 Street, 150040, China.</nlm:affiliation><country xml:lang="fr">République populaire de Chine</country><wicri:regionArea>College of Wildlife Resources, Northeast Forestry University, Xiang Fang District, Harbin City, Hexing Road 59 Street, 150040</wicri:regionArea><wicri:noRegion>150040</wicri:noRegion></affiliation></author><author><name sortKey="Hafeez, Muhammad" sort="Hafeez, Muhammad" uniqKey="Hafeez M" first="Muhammad" last="Hafeez">Muhammad Hafeez</name><affiliation wicri:level="1"><nlm:affiliation>Pir Mehr Ali Shah Arid Agriculture University Rawalpindi, 47040, Pakistan.</nlm:affiliation><country xml:lang="fr">Pakistan</country><wicri:regionArea>Pir Mehr Ali Shah Arid Agriculture University Rawalpindi, 47040</wicri:regionArea><wicri:noRegion>47040</wicri:noRegion></affiliation></author></analytic><series><title level="j">Microbial pathogenesis</title><idno type="eISSN">1096-1208</idno><imprint><date when="2018" type="published">2018</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Basidiomycota (pathogenicity)</term><term>Cluster Analysis (MeSH)</term><term>DNA, Plant (genetics)</term><term>Disease Resistance (genetics)</term><term>Gene Frequency (MeSH)</term><term>Genes, Plant (genetics)</term><term>Genetic Loci (MeSH)</term><term>Genetic Markers (genetics)</term><term>Plant Diseases (genetics)</term><term>Plant Diseases (microbiology)</term><term>Plant Leaves (genetics)</term><term>Plant Leaves (microbiology)</term><term>Triticum (genetics)</term><term>Triticum (microbiology)</term></keywords><keywords scheme="KwdFr" xml:lang="fr"><term>ADN des plantes (génétique)</term><term>Analyse de regroupements (MeSH)</term><term>Basidiomycota (pathogénicité)</term><term>Feuilles de plante (génétique)</term><term>Feuilles de plante (microbiologie)</term><term>Fréquence d'allèle (MeSH)</term><term>Gènes de plante (génétique)</term><term>Locus génétiques (MeSH)</term><term>Maladies des plantes (génétique)</term><term>Maladies des plantes (microbiologie)</term><term>Marqueurs génétiques (génétique)</term><term>Résistance à la maladie (génétique)</term><term>Triticum (génétique)</term><term>Triticum (microbiologie)</term></keywords><keywords scheme="MESH" type="chemical" qualifier="genetics" xml:lang="en"><term>DNA, Plant</term><term>Genetic Markers</term></keywords><keywords scheme="MESH" qualifier="genetics" xml:lang="en"><term>Disease Resistance</term><term>Genes, Plant</term><term>Plant Diseases</term><term>Plant Leaves</term><term>Triticum</term></keywords><keywords scheme="MESH" qualifier="génétique" xml:lang="fr"><term>ADN des plantes</term><term>Feuilles de plante</term><term>Gènes de plante</term><term>Maladies des plantes</term><term>Marqueurs génétiques</term><term>Résistance à la maladie</term><term>Triticum</term></keywords><keywords scheme="MESH" qualifier="microbiologie" xml:lang="fr"><term>Feuilles de plante</term><term>Maladies des plantes</term><term>Triticum</term></keywords><keywords scheme="MESH" qualifier="microbiology" xml:lang="en"><term>Plant Diseases</term><term>Plant Leaves</term><term>Triticum</term></keywords><keywords scheme="MESH" qualifier="pathogenicity" xml:lang="en"><term>Basidiomycota</term></keywords><keywords scheme="MESH" qualifier="pathogénicité" xml:lang="fr"><term>Basidiomycota</term></keywords><keywords scheme="MESH" xml:lang="en"><term>Cluster Analysis</term><term>Gene Frequency</term><term>Genetic Loci</term></keywords><keywords scheme="MESH" xml:lang="fr"><term>Analyse de regroupements</term><term>Fréquence d'allèle</term><term>Locus génétiques</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">A total of fifty seven wheat advanced lines were screened to detect the existence of leaf rust resistant genes (Lr9, Lr13, Lr19, Lr24, Lr26, Lr28, Lr32, Lr34, Lr35, Lr36, Lr37, Lr39 and Lr46) using thirteen SSR markers. Only four markers for Lr13, Lr32, Lr34 and Lr35 produced separate, reproducible bands which indicated the positive linkage of leaf rust resistance with these SSR markers. The highest frequency was observed for Lr32 (100%), as it was detected in all fifty seven lines, followed by Lr34 (89.4%) in 51 lines, Lr35 (87.7%) in 50 lines and Lr13 (31.5%) in 18 lines respectively. All the four resistant genes were identified in fifteen lines which is only 26% of the studied population. These results indicate that there are limited number of variant genes for leaf rust resistance in the studied wheat advanced lines. Therefore, strategies for arraying these genes to lengthen infection resistance are advised to eliminate wheat rust diseases. In addition, more reliable and capable markers are essential to be settled for marker assisted selection of these and other genes.</div></front></TEI><pubmed><MedlineCitation Status="MEDLINE" Owner="NLM"><PMID Version="1">30053601</PMID><DateCompleted><Year>2018</Year><Month>12</Month><Day>28</Day></DateCompleted><DateRevised><Year>2018</Year><Month>12</Month><Day>28</Day></DateRevised><Article PubModel="Print-Electronic"><Journal><ISSN IssnType="Electronic">1096-1208</ISSN><JournalIssue CitedMedium="Internet"><Volume>123</Volume><PubDate><Year>2018</Year><Month>Oct</Month></PubDate></JournalIssue><Title>Microbial pathogenesis</Title><ISOAbbreviation>Microb Pathog</ISOAbbreviation></Journal><ArticleTitle>Molecular charactarization of wheat advanced lines for leaf rust resistant genes using SSR markers.</ArticleTitle><Pagination><MedlinePgn>348-352</MedlinePgn></Pagination><ELocationID EIdType="pii" ValidYN="Y">S0882-4010(18)30880-5</ELocationID><ELocationID EIdType="doi" ValidYN="Y">10.1016/j.micpath.2018.07.029</ELocationID><Abstract><AbstractText>A total of fifty seven wheat advanced lines were screened to detect the existence of leaf rust resistant genes (Lr9, Lr13, Lr19, Lr24, Lr26, Lr28, Lr32, Lr34, Lr35, Lr36, Lr37, Lr39 and Lr46) using thirteen SSR markers. Only four markers for Lr13, Lr32, Lr34 and Lr35 produced separate, reproducible bands which indicated the positive linkage of leaf rust resistance with these SSR markers. The highest frequency was observed for Lr32 (100%), as it was detected in all fifty seven lines, followed by Lr34 (89.4%) in 51 lines, Lr35 (87.7%) in 50 lines and Lr13 (31.5%) in 18 lines respectively. All the four resistant genes were identified in fifteen lines which is only 26% of the studied population. These results indicate that there are limited number of variant genes for leaf rust resistance in the studied wheat advanced lines. Therefore, strategies for arraying these genes to lengthen infection resistance are advised to eliminate wheat rust diseases. In addition, more reliable and capable markers are essential to be settled for marker assisted selection of these and other genes.</AbstractText><CopyrightInformation>Copyright © 2018. Published by Elsevier Ltd.</CopyrightInformation></Abstract><AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Ali</LastName><ForeName>Bahar</ForeName><Initials>B</Initials><AffiliationInfo><Affiliation>Institute of Biotechnology and Genetic Engineering, Faculty of Crop Production Sciences, The University of Agriculture, Peshawar, 25130, Pakistan.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Munir</LastName><ForeName>Iqbal</ForeName><Initials>I</Initials><AffiliationInfo><Affiliation>Institute of Biotechnology and Genetic Engineering, Faculty of Crop Production Sciences, The University of Agriculture, Peshawar, 25130, Pakistan. Electronic address: iqmunir@hotmail.com.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Iqbal</LastName><ForeName>Aqib</ForeName><Initials>A</Initials><AffiliationInfo><Affiliation>Institute of Biotechnology and Genetic Engineering, Faculty of Crop Production Sciences, The University of Agriculture, Peshawar, 25130, Pakistan.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Ahmad</LastName><ForeName>Mian Afaq</ForeName><Initials>MA</Initials><AffiliationInfo><Affiliation>Institute of Biotechnology and Genetic Engineering, Faculty of Crop Production Sciences, The University of Agriculture, Peshawar, 25130, Pakistan.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Maqsood</LastName><ForeName>Iram</ForeName><Initials>I</Initials><AffiliationInfo><Affiliation>College of Wildlife Resources, Northeast Forestry University, Xiang Fang District, Harbin City, Hexing Road 59 Street, 150040, China.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Hafeez</LastName><ForeName>Muhammad</ForeName><Initials>M</Initials><AffiliationInfo><Affiliation>Pir Mehr Ali Shah Arid Agriculture University Rawalpindi, 47040, Pakistan.</Affiliation></AffiliationInfo></Author></AuthorList><Language>eng</Language><PublicationTypeList><PublicationType UI="D016428">Journal Article</PublicationType></PublicationTypeList><ArticleDate DateType="Electronic"><Year>2018</Year><Month>07</Month><Day>24</Day></ArticleDate></Article><MedlineJournalInfo><Country>England</Country><MedlineTA>Microb Pathog</MedlineTA><NlmUniqueID>8606191</NlmUniqueID><ISSNLinking>0882-4010</ISSNLinking></MedlineJournalInfo><ChemicalList><Chemical><RegistryNumber>0</RegistryNumber><NameOfSubstance UI="D018744">DNA, Plant</NameOfSubstance></Chemical><Chemical><RegistryNumber>0</RegistryNumber><NameOfSubstance UI="D005819">Genetic Markers</NameOfSubstance></Chemical></ChemicalList><CitationSubset>IM</CitationSubset><MeshHeadingList><MeshHeading><DescriptorName UI="D001487" MajorTopicYN="N">Basidiomycota</DescriptorName><QualifierName UI="Q000472" MajorTopicYN="N">pathogenicity</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D016000" MajorTopicYN="N">Cluster Analysis</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D018744" MajorTopicYN="N">DNA, Plant</DescriptorName><QualifierName UI="Q000235" MajorTopicYN="N">genetics</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D060467" MajorTopicYN="N">Disease Resistance</DescriptorName><QualifierName UI="Q000235" MajorTopicYN="Y">genetics</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D005787" MajorTopicYN="N">Gene Frequency</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D017343" MajorTopicYN="N">Genes, Plant</DescriptorName><QualifierName UI="Q000235" MajorTopicYN="Y">genetics</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D056426" MajorTopicYN="N">Genetic Loci</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D005819" MajorTopicYN="N">Genetic Markers</DescriptorName><QualifierName UI="Q000235" MajorTopicYN="N">genetics</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D010935" MajorTopicYN="N">Plant Diseases</DescriptorName><QualifierName UI="Q000235" MajorTopicYN="Y">genetics</QualifierName><QualifierName UI="Q000382" MajorTopicYN="N">microbiology</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D018515" MajorTopicYN="N">Plant Leaves</DescriptorName><QualifierName UI="Q000235" MajorTopicYN="Y">genetics</QualifierName><QualifierName UI="Q000382" MajorTopicYN="N">microbiology</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D014908" MajorTopicYN="N">Triticum</DescriptorName><QualifierName UI="Q000235" MajorTopicYN="Y">genetics</QualifierName><QualifierName UI="Q000382" MajorTopicYN="N">microbiology</QualifierName></MeshHeading></MeshHeadingList></MedlineCitation><PubmedData><History><PubMedPubDate PubStatus="received"><Year>2018</Year><Month>05</Month><Day>14</Day></PubMedPubDate><PubMedPubDate PubStatus="revised"><Year>2018</Year><Month>07</Month><Day>23</Day></PubMedPubDate><PubMedPubDate PubStatus="accepted"><Year>2018</Year><Month>07</Month><Day>23</Day></PubMedPubDate><PubMedPubDate PubStatus="pubmed"><Year>2018</Year><Month>7</Month><Day>28</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="medline"><Year>2018</Year><Month>12</Month><Day>29</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="entrez"><Year>2018</Year><Month>7</Month><Day>28</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate></History><PublicationStatus>ppublish</PublicationStatus><ArticleIdList><ArticleId IdType="pubmed">30053601</ArticleId><ArticleId IdType="pii">S0882-4010(18)30880-5</ArticleId><ArticleId IdType="doi">10.1016/j.micpath.2018.07.029</ArticleId></ArticleIdList></PubmedData></pubmed><affiliations><list><country><li>Pakistan</li><li>République populaire de Chine</li></country></list><tree><country name="Pakistan"><noRegion><name sortKey="Ali, Bahar" sort="Ali, Bahar" uniqKey="Ali B" first="Bahar" last="Ali">Bahar Ali</name></noRegion><name sortKey="Ahmad, Mian Afaq" sort="Ahmad, Mian Afaq" uniqKey="Ahmad M" first="Mian Afaq" last="Ahmad">Mian Afaq Ahmad</name><name sortKey="Hafeez, Muhammad" sort="Hafeez, Muhammad" uniqKey="Hafeez M" first="Muhammad" last="Hafeez">Muhammad Hafeez</name><name sortKey="Iqbal, Aqib" sort="Iqbal, Aqib" uniqKey="Iqbal A" first="Aqib" last="Iqbal">Aqib Iqbal</name><name sortKey="Munir, Iqbal" sort="Munir, Iqbal" uniqKey="Munir I" first="Iqbal" last="Munir">Iqbal Munir</name></country><country name="République populaire de Chine"><noRegion><name sortKey="Maqsood, Iram" sort="Maqsood, Iram" uniqKey="Maqsood I" first="Iram" last="Maqsood">Iram 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