Evaluating stripe rust resistance in Indian wheat genotypes and breeding lines using molecular markers.
Identifieur interne : 000056 ( Main/Exploration ); précédent : 000055; suivant : 000057Evaluating stripe rust resistance in Indian wheat genotypes and breeding lines using molecular markers.
Auteurs : Reema Rani [Inde] ; Rajender Singh [Inde] ; Neelam R. Yadav [Inde]Source :
- Comptes rendus biologies [ 1768-3238 ]
Descripteurs français
- KwdFr :
- ADN des plantes (génétique), ADN des plantes (isolement et purification), Basidiomycota (MeSH), Gènes de plante (MeSH), Génotype (MeSH), Inde (MeSH), Maladies des plantes (génétique), Maladies des plantes (microbiologie), Maladies des plantes (prévention et contrôle), Marqueurs génétiques (MeSH), Résistance à la maladie (génétique), Sélection (MeSH), Triticum (génétique).
- MESH :
- génétique : ADN des plantes, Maladies des plantes, Résistance à la maladie, Triticum.
- isolement et purification : ADN des plantes.
- microbiologie : Maladies des plantes.
- prévention et contrôle : Maladies des plantes.
- Basidiomycota, Gènes de plante, Génotype, Inde, Marqueurs génétiques, Sélection.
- Wicri :
- geographic : Inde.
English descriptors
- KwdEn :
- Basidiomycota (MeSH), Breeding (MeSH), DNA, Plant (genetics), DNA, Plant (isolation & purification), Disease Resistance (genetics), Genes, Plant (MeSH), Genetic Markers (MeSH), Genotype (MeSH), India (MeSH), Plant Diseases (genetics), Plant Diseases (microbiology), Plant Diseases (prevention & control), Triticum (genetics).
- MESH :
- chemical , genetics : DNA, Plant.
- chemical , isolation & purification : DNA, Plant.
- geographic : India.
- genetics : Disease Resistance, Plant Diseases, Triticum.
- microbiology : Plant Diseases.
- prevention & control : Plant Diseases.
- Basidiomycota, Breeding, Genes, Plant, Genetic Markers, Genotype.
Abstract
Stripe rust (yellow rust), caused by Puccinia striiformis f. sp. tritici (Pst), is a serious disease of wheat worldwide, including India. Growing resistant cultivars is the most cost-effective and eco-friendly approach to manage the disease. In this study, 70 publically available molecular markers were used to identify the distribution of 35 Yr genes in 68 wheat genotypes. Out of 35 Yr genes, 25 genes amplified the loci associated with Yr genes. Of the 35, 18 were all-stage resistance ASR (All-stage resistance) genes and 7 (Yr16, Yr18, Yr29, Yr30, Yr36, Yr46 &Yr59) were APR (Adult-plant resistance) genes. In the field tests, evaluation for stripe rust was carried out under artificial inoculation of Pst. Fifty-three wheat genotypes were found resistant to yellow rust (ITs 0), accounting for 77.94% of total entries. Coefficients of infection ranged from 0 to 60 among all wheat genotypes. Two genotypes (VL 1099 & VL 3002) were identified with maximum 15 Yr genes followed by 14 genes in VL 3010 and HI8759, respectively. Maximum number of all-stage resistance genes were identified in RKD 292 (11) followed by ten genes in DBW 216, WH 1184 and VL 3002. Maximum number of adult-plant resistance gene was identified in VL 3009 (6), HI 8759 (5) and Lassik (4) respectively. Genes Yr26 (69.2%), Yr2 (69.1%), Yr64 (61.7%), Yr24 (58.9%), Yr7 (52.9%), Yr10 (50%) and Yr 48 (48.5%) showed high frequency among selected wheat genotypes, while Yr9 (2.94%), Yr36 (2.94%), Yr60 (1.47%) and Yr32 (8.8%) were least frequent in wheat genotypes. In future breeding programs, race specific genes and non-race specific genes should be utilised to pyramid with other effective genes to develop improved wheat cultivars with high-level and durable resistance to stripe rust. Proper deployment of Yr genes and utilizing the positive interactions will be helpful for resistance breeding in wheat.
DOI: 10.1016/j.crvi.2019.04.002
PubMed: 31239197
Affiliations:
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Yadav</name><affiliation wicri:level="1"><nlm:affiliation>Department of Molecular Biology, Biotechnology & Bioinformatics, Chaudhary Charan Singh Haryana Agricultural University, 125004 Hisar, Haryana, India. 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Growing resistant cultivars is the most cost-effective and eco-friendly approach to manage the disease. In this study, 70 publically available molecular markers were used to identify the distribution of 35 Yr genes in 68 wheat genotypes. Out of 35 Yr genes, 25 genes amplified the loci associated with Yr genes. Of the 35, 18 were all-stage resistance ASR (All-stage resistance) genes and 7 (Yr16, Yr18, Yr29, Yr30, Yr36, Yr46 &Yr59) were APR (Adult-plant resistance) genes. In the field tests, evaluation for stripe rust was carried out under artificial inoculation of Pst. Fifty-three wheat genotypes were found resistant to yellow rust (ITs 0), accounting for 77.94% of total entries. Coefficients of infection ranged from 0 to 60 among all wheat genotypes. Two genotypes (VL 1099 & VL 3002) were identified with maximum 15 Yr genes followed by 14 genes in VL 3010 and HI8759, respectively. Maximum number of all-stage resistance genes were identified in RKD 292 (11) followed by ten genes in DBW 216, WH 1184 and VL 3002. Maximum number of adult-plant resistance gene was identified in VL 3009 (6), HI 8759 (5) and Lassik (4) respectively. Genes Yr26 (69.2%), Yr2 (69.1%), Yr64 (61.7%), Yr24 (58.9%), Yr7 (52.9%), Yr10 (50%) and Yr 48 (48.5%) showed high frequency among selected wheat genotypes, while Yr9 (2.94%), Yr36 (2.94%), Yr60 (1.47%) and Yr32 (8.8%) were least frequent in wheat genotypes. In future breeding programs, race specific genes and non-race specific genes should be utilised to pyramid with other effective genes to develop improved wheat cultivars with high-level and durable resistance to stripe rust. Proper deployment of Yr genes and utilizing the positive interactions will be helpful for resistance breeding in wheat.</div></front></TEI><pubmed><MedlineCitation Status="MEDLINE" IndexingMethod="Curated" Owner="NLM"><PMID Version="1">31239197</PMID><DateCompleted><Year>2019</Year><Month>12</Month><Day>23</Day></DateCompleted><DateRevised><Year>2019</Year><Month>12</Month><Day>23</Day></DateRevised><Article PubModel="Print-Electronic"><Journal><ISSN IssnType="Electronic">1768-3238</ISSN><JournalIssue CitedMedium="Internet"><Volume>342</Volume><Issue>5-6</Issue><PubDate><MedlineDate>2019 Jun - Aug</MedlineDate></PubDate></JournalIssue><Title>Comptes rendus biologies</Title><ISOAbbreviation>C R Biol</ISOAbbreviation></Journal><ArticleTitle>Evaluating stripe rust resistance in Indian wheat genotypes and breeding lines using molecular markers.</ArticleTitle><Pagination><MedlinePgn>154-174</MedlinePgn></Pagination><ELocationID EIdType="pii" ValidYN="Y">S1631-0691(19)30040-X</ELocationID><ELocationID EIdType="doi" ValidYN="Y">10.1016/j.crvi.2019.04.002</ELocationID><Abstract><AbstractText>Stripe rust (yellow rust), caused by Puccinia striiformis f. sp. tritici (Pst), is a serious disease of wheat worldwide, including India. Growing resistant cultivars is the most cost-effective and eco-friendly approach to manage the disease. In this study, 70 publically available molecular markers were used to identify the distribution of 35 Yr genes in 68 wheat genotypes. Out of 35 Yr genes, 25 genes amplified the loci associated with Yr genes. Of the 35, 18 were all-stage resistance ASR (All-stage resistance) genes and 7 (Yr16, Yr18, Yr29, Yr30, Yr36, Yr46 &Yr59) were APR (Adult-plant resistance) genes. In the field tests, evaluation for stripe rust was carried out under artificial inoculation of Pst. Fifty-three wheat genotypes were found resistant to yellow rust (ITs 0), accounting for 77.94% of total entries. Coefficients of infection ranged from 0 to 60 among all wheat genotypes. Two genotypes (VL 1099 & VL 3002) were identified with maximum 15 Yr genes followed by 14 genes in VL 3010 and HI8759, respectively. Maximum number of all-stage resistance genes were identified in RKD 292 (11) followed by ten genes in DBW 216, WH 1184 and VL 3002. Maximum number of adult-plant resistance gene was identified in VL 3009 (6), HI 8759 (5) and Lassik (4) respectively. Genes Yr26 (69.2%), Yr2 (69.1%), Yr64 (61.7%), Yr24 (58.9%), Yr7 (52.9%), Yr10 (50%) and Yr 48 (48.5%) showed high frequency among selected wheat genotypes, while Yr9 (2.94%), Yr36 (2.94%), Yr60 (1.47%) and Yr32 (8.8%) were least frequent in wheat genotypes. In future breeding programs, race specific genes and non-race specific genes should be utilised to pyramid with other effective genes to develop improved wheat cultivars with high-level and durable resistance to stripe rust. Proper deployment of Yr genes and utilizing the positive interactions will be helpful for resistance breeding in wheat.</AbstractText><CopyrightInformation>Copyright © 2019 Académie des sciences. Published by Elsevier Masson SAS. All rights reserved.</CopyrightInformation></Abstract><AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Rani</LastName><ForeName>Reema</ForeName><Initials>R</Initials><AffiliationInfo><Affiliation>Department of Molecular Biology, Biotechnology & Bioinformatics, Chaudhary Charan Singh Haryana Agricultural University, 125004 Hisar, Haryana, India; ICAR-Directorate of Rapeseed-Mustard Research Centre, Sewar, 321303 Bharatpur, Rajasthan, India.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Singh</LastName><ForeName>Rajender</ForeName><Initials>R</Initials><AffiliationInfo><Affiliation>Department of Plant Pathology, Chaudhary Charan Singh Haryana Agricultural University, 125004 Hisar, Haryana, India.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Yadav</LastName><ForeName>Neelam R</ForeName><Initials>NR</Initials><AffiliationInfo><Affiliation>Department of Molecular Biology, Biotechnology & Bioinformatics, Chaudhary Charan Singh Haryana Agricultural University, 125004 Hisar, Haryana, India. Electronic address: nryadav58@gmail.com.</Affiliation></AffiliationInfo></Author></AuthorList><Language>eng</Language><PublicationTypeList><PublicationType UI="D016428">Journal Article</PublicationType></PublicationTypeList><ArticleDate DateType="Electronic"><Year>2019</Year><Month>06</Month><Day>22</Day></ArticleDate></Article><MedlineJournalInfo><Country>France</Country><MedlineTA>C R Biol</MedlineTA><NlmUniqueID>101140040</NlmUniqueID><ISSNLinking>1631-0691</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></MeshHeading><MeshHeading><DescriptorName UI="D001947" MajorTopicYN="N">Breeding</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D018744" MajorTopicYN="N">DNA, Plant</DescriptorName><QualifierName UI="Q000235" MajorTopicYN="N">genetics</QualifierName><QualifierName UI="Q000302" MajorTopicYN="N">isolation & purification</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D060467" MajorTopicYN="N">Disease Resistance</DescriptorName><QualifierName UI="Q000235" MajorTopicYN="Y">genetics</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D017343" MajorTopicYN="N">Genes, Plant</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D005819" MajorTopicYN="N">Genetic Markers</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D005838" MajorTopicYN="N">Genotype</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D007194" MajorTopicYN="N" Type="Geographic">India</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D010935" MajorTopicYN="N">Plant Diseases</DescriptorName><QualifierName UI="Q000235" MajorTopicYN="N">genetics</QualifierName><QualifierName UI="Q000382" MajorTopicYN="N">microbiology</QualifierName><QualifierName UI="Q000517" MajorTopicYN="Y">prevention & control</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D014908" MajorTopicYN="N">Triticum</DescriptorName><QualifierName UI="Q000235" MajorTopicYN="Y">genetics</QualifierName></MeshHeading></MeshHeadingList><KeywordList Owner="NOTNLM"><Keyword MajorTopicYN="N">Molecular detection</Keyword><Keyword MajorTopicYN="N">Puccinia striiformis f. sp. tritici</Keyword><Keyword MajorTopicYN="N">Wheat</Keyword><Keyword MajorTopicYN="N">Yellow rust</Keyword><Keyword MajorTopicYN="N">Yr gene</Keyword></KeywordList></MedlineCitation><PubmedData><History><PubMedPubDate PubStatus="received"><Year>2018</Year><Month>09</Month><Day>15</Day></PubMedPubDate><PubMedPubDate PubStatus="revised"><Year>2019</Year><Month>04</Month><Day>01</Day></PubMedPubDate><PubMedPubDate PubStatus="accepted"><Year>2019</Year><Month>04</Month><Day>02</Day></PubMedPubDate><PubMedPubDate PubStatus="pubmed"><Year>2019</Year><Month>6</Month><Day>27</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="medline"><Year>2019</Year><Month>12</Month><Day>24</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="entrez"><Year>2019</Year><Month>6</Month><Day>27</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate></History><PublicationStatus>ppublish</PublicationStatus><ArticleIdList><ArticleId IdType="pubmed">31239197</ArticleId><ArticleId IdType="pii">S1631-0691(19)30040-X</ArticleId><ArticleId IdType="doi">10.1016/j.crvi.2019.04.002</ArticleId></ArticleIdList></PubmedData></pubmed><affiliations><list><country><li>Inde</li></country></list><tree><country name="Inde"><noRegion><name sortKey="Rani, Reema" sort="Rani, Reema" uniqKey="Rani R" first="Reema" last="Rani">Reema Rani</name></noRegion><name sortKey="Singh, Rajender" sort="Singh, Rajender" uniqKey="Singh R" first="Rajender" last="Singh">Rajender Singh</name><name sortKey="Yadav, Neelam R" sort="Yadav, Neelam R" uniqKey="Yadav N" first="Neelam R" last="Yadav">Neelam R. 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