New tools for characterizing early brown stem rot disease resistance signaling in soybean.
Identifieur interne : 000095 ( Main/Exploration ); précédent : 000094; suivant : 000096New tools for characterizing early brown stem rot disease resistance signaling in soybean.
Auteurs : Chantal E. Mccabe [États-Unis] ; Michelle A. Graham [États-Unis]Source :
- The plant genome [ 1940-3372 ] ; 2020.
Abstract
Brown stem rot (BSR) reduces soybean [Glycine max (L.) Merr.] yield by up to 38%. The BSR causal agent is Phialophora gregata f. sp. sojae, a slow-growing, necrotrophic fungus whose life cycle includes latent and pathogenic phases, each lasting several weeks. Brown stem rot foliar symptoms are often misdiagnosed as other soybean diseases or nutrient stress, making BSR resistance especially difficult to phenotype. To shed light on the genes and networks contributing to P. gregata resistance, we conducted RNA sequencing (RNA-seq) of a resistant genotype (PI 437970, Rbs3). Leaf, stem, and root tissues were collected 12, 24, and 36 h after stab inoculation with P. gregata, or mock infection, in the plant stem. By using multiple tissues and time points, we could see that leaves, stems, and roots use the same defense pathways. Our analyses suggest that P. gregata induces a biphasic defense response, with pathogen-associated molecular pattern (PAMP) triggered immunity observed in leaves at 12 and 24 h after infection (HAI) and effector triggered immunity detected at 36 h after infection in the stems. Gene networks associated with defense, photosynthesis, nutrient homeostasis, DNA replication, and growth are the hallmarks of resistance to P. gregata. While P. gregata is a slow-growing pathogen, our results demonstrate that pathogen recognition occurs hours after infection. By exploiting the genes and networks described here, we will be able to develop novel diagnostic tools to facilitate breeding and screening for BSR resistance.
DOI: 10.1002/tpg2.20037
PubMed: 33217212
Affiliations:
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<record><TEI><teiHeader><fileDesc><titleStmt><title xml:lang="en">New tools for characterizing early brown stem rot disease resistance signaling in soybean.</title><author><name sortKey="Mccabe, Chantal E" sort="Mccabe, Chantal E" uniqKey="Mccabe C" first="Chantal E" last="Mccabe">Chantal E. Mccabe</name><affiliation wicri:level="1"><nlm:affiliation>USDA-ARS Corn Insects and Crop Genetics Research Unit, Ames, IA, 50011-1010, USA.</nlm:affiliation><country xml:lang="fr">États-Unis</country><wicri:regionArea>USDA-ARS Corn Insects and Crop Genetics Research Unit, Ames, IA, 50011-1010</wicri:regionArea><wicri:noRegion>50011-1010</wicri:noRegion></affiliation></author><author><name sortKey="Graham, Michelle A" sort="Graham, Michelle A" uniqKey="Graham M" first="Michelle A" last="Graham">Michelle A. 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Mccabe</name><affiliation wicri:level="1"><nlm:affiliation>USDA-ARS Corn Insects and Crop Genetics Research Unit, Ames, IA, 50011-1010, USA.</nlm:affiliation><country xml:lang="fr">États-Unis</country><wicri:regionArea>USDA-ARS Corn Insects and Crop Genetics Research Unit, Ames, IA, 50011-1010</wicri:regionArea><wicri:noRegion>50011-1010</wicri:noRegion></affiliation></author><author><name sortKey="Graham, Michelle A" sort="Graham, Michelle A" uniqKey="Graham M" first="Michelle A" last="Graham">Michelle A. Graham</name><affiliation wicri:level="1"><nlm:affiliation>USDA-ARS Corn Insects and Crop Genetics Research Unit, Ames, IA, 50011-1010, USA.</nlm:affiliation><country xml:lang="fr">États-Unis</country><wicri:regionArea>USDA-ARS Corn Insects and Crop Genetics Research Unit, Ames, IA, 50011-1010</wicri:regionArea><wicri:noRegion>50011-1010</wicri:noRegion></affiliation><affiliation wicri:level="4"><nlm:affiliation>Department of Agronomy, Iowa State University, Ames, IA, 50011-1010, USA.</nlm:affiliation><country xml:lang="fr">États-Unis</country><wicri:regionArea>Department of Agronomy, Iowa State University, Ames, IA, 50011-1010</wicri:regionArea><orgName type="university">Université d'État de l'Iowa</orgName><placeName><settlement type="city">Ames (Iowa)</settlement><region type="state">Iowa</region></placeName></affiliation></author></analytic><series><title level="j">The plant genome</title><idno type="eISSN">1940-3372</idno><imprint><date when="2020" type="published">2020</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">Brown stem rot (BSR) reduces soybean [Glycine max (L.) Merr.] yield by up to 38%. The BSR causal agent is Phialophora gregata f. sp. sojae, a slow-growing, necrotrophic fungus whose life cycle includes latent and pathogenic phases, each lasting several weeks. Brown stem rot foliar symptoms are often misdiagnosed as other soybean diseases or nutrient stress, making BSR resistance especially difficult to phenotype. To shed light on the genes and networks contributing to P. gregata resistance, we conducted RNA sequencing (RNA-seq) of a resistant genotype (PI 437970, Rbs3). Leaf, stem, and root tissues were collected 12, 24, and 36 h after stab inoculation with P. gregata, or mock infection, in the plant stem. By using multiple tissues and time points, we could see that leaves, stems, and roots use the same defense pathways. Our analyses suggest that P. gregata induces a biphasic defense response, with pathogen-associated molecular pattern (PAMP) triggered immunity observed in leaves at 12 and 24 h after infection (HAI) and effector triggered immunity detected at 36 h after infection in the stems. Gene networks associated with defense, photosynthesis, nutrient homeostasis, DNA replication, and growth are the hallmarks of resistance to P. gregata. While P. gregata is a slow-growing pathogen, our results demonstrate that pathogen recognition occurs hours after infection. By exploiting the genes and networks described here, we will be able to develop novel diagnostic tools to facilitate breeding and screening for BSR resistance.</div></front></TEI><pubmed><MedlineCitation Status="Publisher" Owner="NLM"><PMID Version="1">33217212</PMID><DateRevised><Year>2020</Year><Month>11</Month><Day>20</Day></DateRevised><Article PubModel="Print-Electronic"><Journal><ISSN IssnType="Electronic">1940-3372</ISSN><JournalIssue CitedMedium="Internet"><Volume>13</Volume><Issue>3</Issue><PubDate><Year>2020</Year><Month>Nov</Month></PubDate></JournalIssue><Title>The plant genome</Title><ISOAbbreviation>Plant Genome</ISOAbbreviation></Journal><ArticleTitle>New tools for characterizing early brown stem rot disease resistance signaling in soybean.</ArticleTitle><Pagination><MedlinePgn>e20037</MedlinePgn></Pagination><ELocationID EIdType="doi" ValidYN="Y">10.1002/tpg2.20037</ELocationID><Abstract><AbstractText>Brown stem rot (BSR) reduces soybean [Glycine max (L.) Merr.] yield by up to 38%. The BSR causal agent is Phialophora gregata f. sp. sojae, a slow-growing, necrotrophic fungus whose life cycle includes latent and pathogenic phases, each lasting several weeks. Brown stem rot foliar symptoms are often misdiagnosed as other soybean diseases or nutrient stress, making BSR resistance especially difficult to phenotype. To shed light on the genes and networks contributing to P. gregata resistance, we conducted RNA sequencing (RNA-seq) of a resistant genotype (PI 437970, Rbs3). Leaf, stem, and root tissues were collected 12, 24, and 36 h after stab inoculation with P. gregata, or mock infection, in the plant stem. By using multiple tissues and time points, we could see that leaves, stems, and roots use the same defense pathways. Our analyses suggest that P. gregata induces a biphasic defense response, with pathogen-associated molecular pattern (PAMP) triggered immunity observed in leaves at 12 and 24 h after infection (HAI) and effector triggered immunity detected at 36 h after infection in the stems. Gene networks associated with defense, photosynthesis, nutrient homeostasis, DNA replication, and growth are the hallmarks of resistance to P. gregata. While P. gregata is a slow-growing pathogen, our results demonstrate that pathogen recognition occurs hours after infection. By exploiting the genes and networks described here, we will be able to develop novel diagnostic tools to facilitate breeding and screening for BSR resistance.</AbstractText><CopyrightInformation>© 2020 The Authors. The Plant Genome published by Wiley Periodicals, Inc. on behalf of Crop Science Society of America.</CopyrightInformation></Abstract><AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>McCabe</LastName><ForeName>Chantal E</ForeName><Initials>CE</Initials><AffiliationInfo><Affiliation>USDA-ARS Corn Insects and Crop Genetics Research Unit, Ames, IA, 50011-1010, USA.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Graham</LastName><ForeName>Michelle A</ForeName><Initials>MA</Initials><Identifier Source="ORCID">https://orcid.org/0000-0002-9842-7701</Identifier><AffiliationInfo><Affiliation>USDA-ARS Corn Insects and Crop Genetics Research Unit, Ames, IA, 50011-1010, USA.</Affiliation></AffiliationInfo><AffiliationInfo><Affiliation>Department of Agronomy, Iowa State University, Ames, IA, 50011-1010, USA.</Affiliation></AffiliationInfo></Author></AuthorList><Language>eng</Language><GrantList CompleteYN="Y"><Grant><GrantID>5030-21220-006-00D</GrantID><Agency>United States Department of Agriculture, Agricultural Research Service (USDA-ARS)</Agency><Country></Country></Grant><Grant><Agency>Iowa State University Department of Agronomy</Agency><Country></Country></Grant></GrantList><PublicationTypeList><PublicationType UI="D016428">Journal Article</PublicationType></PublicationTypeList><ArticleDate DateType="Electronic"><Year>2020</Year><Month>09</Month><Day>14</Day></ArticleDate></Article><MedlineJournalInfo><Country>United States</Country><MedlineTA>Plant Genome</MedlineTA><NlmUniqueID>101273919</NlmUniqueID><ISSNLinking>1940-3372</ISSNLinking></MedlineJournalInfo><CitationSubset>IM</CitationSubset></MedlineCitation><PubmedData><History><PubMedPubDate PubStatus="received"><Year>2019</Year><Month>09</Month><Day>19</Day></PubMedPubDate><PubMedPubDate PubStatus="revised"><Year>2020</Year><Month>05</Month><Day>11</Day></PubMedPubDate><PubMedPubDate PubStatus="accepted"><Year>2020</Year><Month>05</Month><Day>26</Day></PubMedPubDate><PubMedPubDate PubStatus="entrez"><Year>2020</Year><Month>11</Month><Day>20</Day><Hour>17</Hour><Minute>20</Minute></PubMedPubDate><PubMedPubDate PubStatus="pubmed"><Year>2020</Year><Month>11</Month><Day>21</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="medline"><Year>2020</Year><Month>11</Month><Day>21</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate></History><PublicationStatus>ppublish</PublicationStatus><ArticleIdList><ArticleId IdType="pubmed">33217212</ArticleId><ArticleId IdType="doi">10.1002/tpg2.20037</ArticleId></ArticleIdList><ReferenceList><Title>REFERENCES</Title><Reference><Citation>Adee, E. 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