PhytophthoraV1, Main, Exploration, bibRecord, 000180

Genome-wide association analyses of quantitative disease resistance in diverse sets of soybean [Glycine max (L.) Merr.] plant introductions.

Identifieur interne : 000180 ( Main/Exploration ); précédent : 000179; suivant : 000181

Genome-wide association analyses of quantitative disease resistance in diverse sets of soybean [Glycine max (L.) Merr.] plant introductions.

Auteurs : William Rolling [États-Unis] ; Rhiannon Lake [États-Unis] ; Anne E. Dorrance [États-Unis] ; Leah K. Mchale [États-Unis]

Source :

PloS one [ 1932-6203 ] ; 2020.

RBID : pubmed:32196522

Descripteurs français

KwdFr :
- Amélioration des plantes (MeSH), Cartographie chromosomique (MeSH), Chromosomes de plante (génétique), Espèce introduite (MeSH), Graines (génétique), Génome végétal (génétique), Jeux de données comme sujet (MeSH), Locus de caractère quantitatif (MeSH), Phytophthora (pathogénicité), Polymorphisme de nucléotide simple (MeSH), Produits agricoles (génétique), Produits agricoles (microbiologie), République de Corée (MeSH), Résistance à la maladie (génétique), Soja (génétique), Soja (microbiologie), États-Unis (MeSH), Étude d'association pangénomique (MeSH).
MESH :
- génétique : Chromosomes de plante, Graines, Génome végétal, Produits agricoles, Résistance à la maladie, Soja.
- microbiologie : Produits agricoles, Soja.
- pathogénicité : Phytophthora.
- Amélioration des plantes, Cartographie chromosomique, Espèce introduite, Jeux de données comme sujet, Locus de caractère quantitatif, Polymorphisme de nucléotide simple, République de Corée, États-Unis, Étude d'association pangénomique.
Wicri :
- geographic : États-Unis.

English descriptors

KwdEn :
- Chromosome Mapping (MeSH), Chromosomes, Plant (genetics), Crops, Agricultural (genetics), Crops, Agricultural (microbiology), Datasets as Topic (MeSH), Disease Resistance (genetics), Genome, Plant (genetics), Genome-Wide Association Study (MeSH), Introduced Species (MeSH), Phytophthora (pathogenicity), Plant Breeding (MeSH), Polymorphism, Single Nucleotide (MeSH), Quantitative Trait Loci (MeSH), Republic of Korea (MeSH), Seeds (genetics), Soybeans (genetics), Soybeans (microbiology), United States (MeSH).
MESH :
- geographic : Republic of Korea, United States.
- genetics : Chromosomes, Plant, Crops, Agricultural, Disease Resistance, Genome, Plant, Seeds, Soybeans.
- microbiology : Crops, Agricultural, Soybeans.
- pathogenicity : Phytophthora.
- Chromosome Mapping, Datasets as Topic, Genome-Wide Association Study, Introduced Species, Plant Breeding, Polymorphism, Single Nucleotide, Quantitative Trait Loci.

Abstract

Phytophthora sojae is one of the costliest soybean pathogens in the US. Quantitative disease resistance (QDR) is a vital part of Phytophthora disease management. In this study, QDR was measured in 478 and 495 plant introductions (PIs) towards P. sojae isolates OH.121 and C2.S1, respectively, in genome-wide association (GWA) analyses to identify genetic markers linked to QDR loci (QDRL). Populations were generated by sampling PIs from the US, the Republic of Korea, and the full collection of PIs maintained by the USDA. Additionally, a meta-analysis of QDRL reported from bi-parental studies was done to compare past and present findings. Twenty-four significant marker-trait associations were identified from the 478 PIs phenotyped with OH.121, and an additional 24 marker-trait associations were identified from the 495 PIs phenotyped with C2.S1. In total, 48 significant markers were distributed across 16 chromosomes and based on linkage analysis, represent a total of 44 QDRL. The majority of QDRL were identified with only one of the two isolates, and only a region on chromosome 13 was consistently identified. Regions on chromosomes 3, 13, and 17 were identified in previous GWA-analyses and were re-identified in this study. Five QDRL co-localized with P. sojae meta-QDRL identified from QDRL reported in previous biparental mapping studies. The remaining regions represent novel QDRL, in the soybean-P. sojae pathosystem and were primarily identified in germplasm from the Republic of Korea. Overall, the number of loci identified in this study highlights the complexity of QDR to P. sojae.

DOI: 10.1371/journal.pone.0227710
PubMed: 32196522
PubMed Central: PMC7083333

Affiliations:

Links toward previous steps (curation, corpus...)

to stream Main, to step Corpus: 000239
to stream Main, to step Curation: 000239

Le document en format XML

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<term>Crops, Agricultural (microbiology)</term>
<term>Datasets as Topic (MeSH)</term>
<term>Disease Resistance (genetics)</term>
<term>Genome, Plant (genetics)</term>
<term>Genome-Wide Association Study (MeSH)</term>
<term>Introduced Species (MeSH)</term>
<term>Phytophthora (pathogenicity)</term>
<term>Plant Breeding (MeSH)</term>
<term>Polymorphism, Single Nucleotide (MeSH)</term>
<term>Quantitative Trait Loci (MeSH)</term>
<term>Republic of Korea (MeSH)</term>
<term>Seeds (genetics)</term>
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<term>Soybeans (microbiology)</term>
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<term>Cartographie chromosomique (MeSH)</term>
<term>Chromosomes de plante (génétique)</term>
<term>Espèce introduite (MeSH)</term>
<term>Graines (génétique)</term>
<term>Génome végétal (génétique)</term>
<term>Jeux de données comme sujet (MeSH)</term>
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<term>Polymorphisme de nucléotide simple (MeSH)</term>
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<term>Produits agricoles (microbiologie)</term>
<term>République de Corée (MeSH)</term>
<term>Résistance à la maladie (génétique)</term>
<term>Soja (génétique)</term>
<term>Soja (microbiologie)</term>
<term>États-Unis (MeSH)</term>
<term>Étude d'association pangénomique (MeSH)</term>
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<term>Disease Resistance</term>
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<term>Seeds</term>
<term>Soybeans</term>
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<term>Génome végétal</term>
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<term>Résistance à la maladie</term>
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<term>Datasets as Topic</term>
<term>Genome-Wide Association Study</term>
<term>Introduced Species</term>
<term>Plant Breeding</term>
<term>Polymorphism, Single Nucleotide</term>
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<front><div type="abstract" xml:lang="en">Phytophthora sojae is one of the costliest soybean pathogens in the US. Quantitative disease resistance (QDR) is a vital part of Phytophthora disease management. In this study, QDR was measured in 478 and 495 plant introductions (PIs) towards P. sojae isolates OH.121 and C2.S1, respectively, in genome-wide association (GWA) analyses to identify genetic markers linked to QDR loci (QDRL). Populations were generated by sampling PIs from the US, the Republic of Korea, and the full collection of PIs maintained by the USDA. Additionally, a meta-analysis of QDRL reported from bi-parental studies was done to compare past and present findings. Twenty-four significant marker-trait associations were identified from the 478 PIs phenotyped with OH.121, and an additional 24 marker-trait associations were identified from the 495 PIs phenotyped with C2.S1. In total, 48 significant markers were distributed across 16 chromosomes and based on linkage analysis, represent a total of 44 QDRL. The majority of QDRL were identified with only one of the two isolates, and only a region on chromosome 13 was consistently identified. Regions on chromosomes 3, 13, and 17 were identified in previous GWA-analyses and were re-identified in this study. Five QDRL co-localized with P. sojae meta-QDRL identified from QDRL reported in previous biparental mapping studies. The remaining regions represent novel QDRL, in the soybean-P. sojae pathosystem and were primarily identified in germplasm from the Republic of Korea. Overall, the number of loci identified in this study highlights the complexity of QDR to P. sojae.</div>
</front>
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<DateCompleted><Year>2020</Year>
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<ArticleTitle>Genome-wide association analyses of quantitative disease resistance in diverse sets of soybean [Glycine max (L.) Merr.] plant introductions.</ArticleTitle>
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<Abstract><AbstractText>Phytophthora sojae is one of the costliest soybean pathogens in the US. Quantitative disease resistance (QDR) is a vital part of Phytophthora disease management. In this study, QDR was measured in 478 and 495 plant introductions (PIs) towards P. sojae isolates OH.121 and C2.S1, respectively, in genome-wide association (GWA) analyses to identify genetic markers linked to QDR loci (QDRL). Populations were generated by sampling PIs from the US, the Republic of Korea, and the full collection of PIs maintained by the USDA. Additionally, a meta-analysis of QDRL reported from bi-parental studies was done to compare past and present findings. Twenty-four significant marker-trait associations were identified from the 478 PIs phenotyped with OH.121, and an additional 24 marker-trait associations were identified from the 495 PIs phenotyped with C2.S1. In total, 48 significant markers were distributed across 16 chromosomes and based on linkage analysis, represent a total of 44 QDRL. The majority of QDRL were identified with only one of the two isolates, and only a region on chromosome 13 was consistently identified. Regions on chromosomes 3, 13, and 17 were identified in previous GWA-analyses and were re-identified in this study. Five QDRL co-localized with P. sojae meta-QDRL identified from QDRL reported in previous biparental mapping studies. The remaining regions represent novel QDRL, in the soybean-P. sojae pathosystem and were primarily identified in germplasm from the Republic of Korea. Overall, the number of loci identified in this study highlights the complexity of QDR to P. sojae.</AbstractText>
</Abstract>
<AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Rolling</LastName>
<ForeName>William</ForeName>
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<AffiliationInfo><Affiliation>Center for Applied Plant Science and Center for Soybean Research, The Ohio State University, Columbus, Ohio, United States of America.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Lake</LastName>
<ForeName>Rhiannon</ForeName>
<Initials>R</Initials>
<AffiliationInfo><Affiliation>Department of Horticulture and Crop Science, The Ohio State University, Columbus, Ohio, United States of America.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Dorrance</LastName>
<ForeName>Anne E</ForeName>
<Initials>AE</Initials>
<AffiliationInfo><Affiliation>Center for Applied Plant Science and Center for Soybean Research, The Ohio State University, Columbus, Ohio, United States of America.</Affiliation>
</AffiliationInfo>
<AffiliationInfo><Affiliation>Department of Plant Pathology, The Ohio State University, Wooster, Ohio, United States of America.</Affiliation>
</AffiliationInfo>
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<Author ValidYN="Y"><LastName>McHale</LastName>
<ForeName>Leah K</ForeName>
<Initials>LK</Initials>
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<AffiliationInfo><Affiliation>Center for Applied Plant Science and Center for Soybean Research, The Ohio State University, Columbus, Ohio, United States of America.</Affiliation>
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<AffiliationInfo><Affiliation>Department of Horticulture and Crop Science, The Ohio State University, Columbus, Ohio, United States of America.</Affiliation>
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<MeshHeading><DescriptorName UI="D032461" MajorTopicYN="N">Chromosomes, Plant</DescriptorName>
<QualifierName UI="Q000235" MajorTopicYN="N">genetics</QualifierName>
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<MeshHeading><DescriptorName UI="D018556" MajorTopicYN="N">Crops, Agricultural</DescriptorName>
<QualifierName UI="Q000235" MajorTopicYN="Y">genetics</QualifierName>
<QualifierName UI="Q000382" MajorTopicYN="N">microbiology</QualifierName>
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<MeshHeading><DescriptorName UI="D066264" MajorTopicYN="N">Datasets as Topic</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D060467" MajorTopicYN="N">Disease Resistance</DescriptorName>
<QualifierName UI="Q000235" MajorTopicYN="Y">genetics</QualifierName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D018745" MajorTopicYN="N">Genome, Plant</DescriptorName>
<QualifierName UI="Q000235" MajorTopicYN="N">genetics</QualifierName>
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<MeshHeading><DescriptorName UI="D055106" MajorTopicYN="N">Genome-Wide Association Study</DescriptorName>
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<MeshHeading><DescriptorName UI="D058865" MajorTopicYN="Y">Introduced Species</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D010838" MajorTopicYN="N">Phytophthora</DescriptorName>
<QualifierName UI="Q000472" MajorTopicYN="Y">pathogenicity</QualifierName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D000069600" MajorTopicYN="N">Plant Breeding</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D020641" MajorTopicYN="N">Polymorphism, Single Nucleotide</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D040641" MajorTopicYN="N">Quantitative Trait Loci</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D056910" MajorTopicYN="N" Type="Geographic">Republic of Korea</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D012639" MajorTopicYN="N">Seeds</DescriptorName>
<QualifierName UI="Q000235" MajorTopicYN="N">genetics</QualifierName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D013025" MajorTopicYN="N">Soybeans</DescriptorName>
<QualifierName UI="Q000235" MajorTopicYN="Y">genetics</QualifierName>
<QualifierName UI="Q000382" MajorTopicYN="N">microbiology</QualifierName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D014481" MajorTopicYN="N" Type="Geographic">United States</DescriptorName>
</MeshHeading>
</MeshHeadingList>
<CoiStatement>The authors have declared that no competing interests exist.</CoiStatement>
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Genome-wide association analyses of quantitative disease resistance in diverse sets of soybean [Glycine max (L.) Merr.] plant introductions.

Genome-wide association analyses of quantitative disease resistance in diverse sets of soybean [Glycine max (L.) Merr.] plant introductions.

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