Soybean Resistance to White Mold: Evaluation of Soybean Germplasm Under Different Conditions and Validation of QTL.
Identifieur interne : 000366 ( Main/Exploration ); précédent : 000365; suivant : 000367Soybean Resistance to White Mold: Evaluation of Soybean Germplasm Under Different Conditions and Validation of QTL.
Auteurs : Ramkrishna Kandel [États-Unis] ; Charles Y. Chen [États-Unis] ; Craig R. Grau [États-Unis] ; Ann E. Dorrance [États-Unis] ; Jean Q. Liu [États-Unis] ; Yang Wang [République populaire de Chine] ; Dechun Wang [États-Unis]Source :
- Frontiers in plant science [ 1664-462X ] ; 2018.
Abstract
Soybean (Glycine max L. Merr.) white mold (SWM), caused by Sclerotinia sclerotiorum (Lib) de Barry), is a devastating fungal disease in the Upper Midwest of the United States and southern Canada. Various methods exist to evaluate for SWM resistance and many quantitative trait loci (QTL) with minor effect governing SWM resistance have been identified in prior studies. This study aimed to predict field resistance to SWM using low-cost and efficient greenhouse inoculation methods and to confirm the QTL reported in previous studies. Three related but independent studies were conducted in the field, greenhouse, and laboratory to evaluate for SWM resistance. The first study evaluated 66 soybean plant introductions (PIs) with known field resistance to SWM using the greenhouse drop-mycelium inoculation method. These 66 PIs were significantly (P < 0.043) different for resistance to SWM. However, year was highly significant (P < 0.00001), while PI x year interaction was not significant (P < 0.623). The second study compared plant mortality (PM) of 35 soybean breeding lines or varieties in greenhouse inoculation methods with disease severity index (DSI) in field evaluations. Moderate correlation (r) between PM under drop-mycelium method and DSI in field trials (r = 0.65, p < 0.0001) was obtained. The PM under spray-mycelium was also correlated significantly with DSI from field trials (r = 0.51, p < 0.0018). Likewise, significant correlation (r = 0.62, p < 0.0001) was obtained between PM across greenhouse inoculation methods and DSI across field trials. These findings suggest that greenhouse inoculation methods could predict the field resistance to SWM. The third study attempted to validate 33 QTL reported in prior studies using seven populations that comprised a total of 392 F4 : 6 lines derived from crosses involving a partially resistant cultivar "Skylla," five partially resistant PIs, and a known susceptible cultivar "E00290." The estimates of broad-sense heritability (h2) ranged from 0.39 to 0.66 in the populations. Of the seven populations, four had h2 estimates that were significantly different from zero (p < 0.05). Single marker analysis across populations and inoculation methods identified 11 significant SSRs (p < 0.05) corresponding to 10 QTL identified by prior studies. Thus, these five new PIs could be used as new sources of resistant alleles to develop SWM resistant commercial cultivars.
DOI: 10.3389/fpls.2018.00505
PubMed: 29731761
PubMed Central: PMC5921182
Affiliations:
- République populaire de Chine, États-Unis
- Alabama, Dongbei, Floride, Iowa, Jilin, Michigan, Ohio, Wisconsin
- Changchun, East Lansing
- Université d'État du Michigan
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Chen</name><affiliation wicri:level="2"><nlm:affiliation>Department of Crop, Soil, and Environmental Sciences, Auburn University, Auburn, AL, United States.</nlm:affiliation><country xml:lang="fr">États-Unis</country><wicri:regionArea>Department of Crop, Soil, and Environmental Sciences, Auburn University, Auburn, AL</wicri:regionArea><placeName><region type="state">Alabama</region></placeName></affiliation></author><author><name sortKey="Grau, Craig R" sort="Grau, Craig R" uniqKey="Grau C" first="Craig R" last="Grau">Craig R. Grau</name><affiliation wicri:level="2"><nlm:affiliation>Department of Plant Pathology, University of Wisconsin, Madison, WI, United States.</nlm:affiliation><country xml:lang="fr">États-Unis</country><wicri:regionArea>Department of Plant Pathology, University of Wisconsin, Madison, WI</wicri:regionArea><placeName><region type="state">Wisconsin</region></placeName></affiliation></author><author><name sortKey="Dorrance, Ann E" sort="Dorrance, Ann E" uniqKey="Dorrance A" first="Ann E" last="Dorrance">Ann E. Dorrance</name><affiliation wicri:level="2"><nlm:affiliation>Department of Plant Pathology, Ohio Agricultural Research and Development Center (OARDC), The Ohio State University, Wooster, OH, United States.</nlm:affiliation><country xml:lang="fr">États-Unis</country><wicri:regionArea>Department of Plant Pathology, Ohio Agricultural Research and Development Center (OARDC), The Ohio State University, Wooster, OH</wicri:regionArea><placeName><region type="state">Ohio</region></placeName></affiliation></author><author><name sortKey="Liu, Jean Q" sort="Liu, Jean Q" uniqKey="Liu J" first="Jean Q" last="Liu">Jean Q. Liu</name><affiliation wicri:level="2"><nlm:affiliation>Pioneer Hi-Bred International, Inc., Johnston, IA, United States.</nlm:affiliation><country xml:lang="fr">États-Unis</country><wicri:regionArea>Pioneer Hi-Bred International, Inc., Johnston, IA</wicri:regionArea><placeName><region type="state">Iowa</region></placeName></affiliation></author><author><name sortKey="Wang, Yang" sort="Wang, Yang" uniqKey="Wang Y" first="Yang" last="Wang">Yang Wang</name><affiliation wicri:level="3"><nlm:affiliation>Soybean Research Center, Jilin Academy of Agricultural Sciences, Changchun, China.</nlm:affiliation><country xml:lang="fr">République populaire de Chine</country><wicri:regionArea>Soybean Research Center, Jilin Academy of Agricultural Sciences, Changchun</wicri:regionArea><placeName><settlement type="city">Changchun</settlement><region type="province">Jilin</region><region type="groupement">Dongbei</region></placeName></affiliation></author><author><name sortKey="Wang, Dechun" sort="Wang, Dechun" uniqKey="Wang D" first="Dechun" last="Wang">Dechun Wang</name><affiliation wicri:level="4"><nlm:affiliation>Department of Plant, Soil and Microbial Sciences, Michigan State University, East Lansing, MI, United States.</nlm:affiliation><country xml:lang="fr">États-Unis</country><wicri:regionArea>Department of Plant, Soil and Microbial Sciences, Michigan State University, East Lansing, MI</wicri:regionArea><placeName><region type="state">Michigan</region><settlement type="city">East Lansing</settlement></placeName><orgName type="university">Université d'État du Michigan</orgName></affiliation></author></analytic><series><title level="j">Frontiers in plant science</title><idno type="ISSN">1664-462X</idno><imprint><date when="2018" type="published">2018</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">Soybean (<i>Glycine max</i> L. Merr.) white mold (SWM), caused by <i>Sclerotinia sclerotiorum</i> (Lib) de Barry), is a devastating fungal disease in the Upper Midwest of the United States and southern Canada. Various methods exist to evaluate for SWM resistance and many quantitative trait loci (QTL) with minor effect governing SWM resistance have been identified in prior studies. This study aimed to predict field resistance to SWM using low-cost and efficient greenhouse inoculation methods and to confirm the QTL reported in previous studies. Three related but independent studies were conducted in the field, greenhouse, and laboratory to evaluate for SWM resistance. The first study evaluated 66 soybean plant introductions (PIs) with known field resistance to SWM using the greenhouse drop-mycelium inoculation method. These 66 PIs were significantly (<i>P</i> < 0.043) different for resistance to SWM. However, year was highly significant (<i>P</i> < 0.00001), while PI x year interaction was not significant (<i>P</i> < 0.623). The second study compared plant mortality (PM) of 35 soybean breeding lines or varieties in greenhouse inoculation methods with disease severity index (DSI) in field evaluations. Moderate correlation (r) between PM under drop-mycelium method and DSI in field trials (<i>r</i> = 0.65, <i>p</i> < 0.0001<i>)</i> was obtained. The PM under spray-mycelium was also correlated significantly with DSI from field trials (<i>r</i> = 0.51, <i>p</i> < 0.0018<i>)</i>. Likewise, significant correlation (<i>r</i> = 0.62, <i>p</i> < 0.0001) was obtained between PM across greenhouse inoculation methods and DSI across field trials. These findings suggest that greenhouse inoculation methods could predict the field resistance to SWM. The third study attempted to validate 33 QTL reported in prior studies using seven populations that comprised a total of 392 F<sub>4 : 6</sub> lines derived from crosses involving a partially resistant cultivar "Skylla," five partially resistant PIs, and a known susceptible cultivar "E00290." The estimates of broad-sense heritability (<i>h</i><sup>2</sup>) ranged from 0.39 to 0.66 in the populations. Of the seven populations, four had <i>h</i><sup>2</sup> estimates that were significantly different from zero (<i>p</i> < 0.05). Single marker analysis across populations and inoculation methods identified 11 significant SSRs (<i>p</i> < 0.05) corresponding to 10 QTL identified by prior studies. Thus, these five new PIs could be used as new sources of resistant alleles to develop SWM resistant commercial cultivars.</div></front></TEI><pubmed><MedlineCitation Status="PubMed-not-MEDLINE" Owner="NLM"><PMID Version="1">29731761</PMID><DateRevised><Year>2020</Year><Month>09</Month><Day>30</Day></DateRevised><Article PubModel="Electronic-eCollection"><Journal><ISSN IssnType="Print">1664-462X</ISSN><JournalIssue CitedMedium="Print"><Volume>9</Volume><PubDate><Year>2018</Year></PubDate></JournalIssue><Title>Frontiers in plant science</Title><ISOAbbreviation>Front Plant Sci</ISOAbbreviation></Journal><ArticleTitle>Soybean Resistance to White Mold: Evaluation of Soybean Germplasm Under Different Conditions and Validation of QTL.</ArticleTitle><Pagination><MedlinePgn>505</MedlinePgn></Pagination><ELocationID EIdType="doi" ValidYN="Y">10.3389/fpls.2018.00505</ELocationID><Abstract><AbstractText>Soybean (<i>Glycine max</i> L. Merr.) white mold (SWM), caused by <i>Sclerotinia sclerotiorum</i> (Lib) de Barry), is a devastating fungal disease in the Upper Midwest of the United States and southern Canada. Various methods exist to evaluate for SWM resistance and many quantitative trait loci (QTL) with minor effect governing SWM resistance have been identified in prior studies. This study aimed to predict field resistance to SWM using low-cost and efficient greenhouse inoculation methods and to confirm the QTL reported in previous studies. Three related but independent studies were conducted in the field, greenhouse, and laboratory to evaluate for SWM resistance. The first study evaluated 66 soybean plant introductions (PIs) with known field resistance to SWM using the greenhouse drop-mycelium inoculation method. These 66 PIs were significantly (<i>P</i> < 0.043) different for resistance to SWM. However, year was highly significant (<i>P</i> < 0.00001), while PI x year interaction was not significant (<i>P</i> < 0.623). The second study compared plant mortality (PM) of 35 soybean breeding lines or varieties in greenhouse inoculation methods with disease severity index (DSI) in field evaluations. Moderate correlation (r) between PM under drop-mycelium method and DSI in field trials (<i>r</i> = 0.65, <i>p</i> < 0.0001<i>)</i> was obtained. The PM under spray-mycelium was also correlated significantly with DSI from field trials (<i>r</i> = 0.51, <i>p</i> < 0.0018<i>)</i>. Likewise, significant correlation (<i>r</i> = 0.62, <i>p</i> < 0.0001) was obtained between PM across greenhouse inoculation methods and DSI across field trials. These findings suggest that greenhouse inoculation methods could predict the field resistance to SWM. The third study attempted to validate 33 QTL reported in prior studies using seven populations that comprised a total of 392 F<sub>4 : 6</sub> lines derived from crosses involving a partially resistant cultivar "Skylla," five partially resistant PIs, and a known susceptible cultivar "E00290." The estimates of broad-sense heritability (<i>h</i><sup>2</sup>) ranged from 0.39 to 0.66 in the populations. Of the seven populations, four had <i>h</i><sup>2</sup> estimates that were significantly different from zero (<i>p</i> < 0.05). Single marker analysis across populations and inoculation methods identified 11 significant SSRs (<i>p</i> < 0.05) corresponding to 10 QTL identified by prior studies. Thus, these five new PIs could be used as new sources of resistant alleles to develop SWM resistant commercial cultivars.</AbstractText></Abstract><AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Kandel</LastName><ForeName>Ramkrishna</ForeName><Initials>R</Initials><AffiliationInfo><Affiliation>Horticultural Sciences Department, University of Florida, Gainesville, FL, United States.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Chen</LastName><ForeName>Charles Y</ForeName><Initials>CY</Initials><AffiliationInfo><Affiliation>Department of Crop, Soil, and Environmental Sciences, Auburn University, Auburn, AL, United States.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Grau</LastName><ForeName>Craig R</ForeName><Initials>CR</Initials><AffiliationInfo><Affiliation>Department of Plant Pathology, University of Wisconsin, Madison, WI, United States.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Dorrance</LastName><ForeName>Ann E</ForeName><Initials>AE</Initials><AffiliationInfo><Affiliation>Department of Plant Pathology, Ohio Agricultural Research and Development Center (OARDC), The Ohio State University, Wooster, OH, United States.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Liu</LastName><ForeName>Jean Q</ForeName><Initials>JQ</Initials><AffiliationInfo><Affiliation>Pioneer Hi-Bred International, Inc., Johnston, IA, United States.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Wang</LastName><ForeName>Yang</ForeName><Initials>Y</Initials><AffiliationInfo><Affiliation>Soybean Research Center, Jilin Academy of Agricultural Sciences, Changchun, China.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Wang</LastName><ForeName>Dechun</ForeName><Initials>D</Initials><AffiliationInfo><Affiliation>Department of Plant, Soil and Microbial Sciences, Michigan State University, East Lansing, MI, United States.</Affiliation></AffiliationInfo></Author></AuthorList><Language>eng</Language><PublicationTypeList><PublicationType UI="D016428">Journal Article</PublicationType></PublicationTypeList><ArticleDate DateType="Electronic"><Year>2018</Year><Month>04</Month><Day>20</Day></ArticleDate></Article><MedlineJournalInfo><Country>Switzerland</Country><MedlineTA>Front Plant Sci</MedlineTA><NlmUniqueID>101568200</NlmUniqueID><ISSNLinking>1664-462X</ISSNLinking></MedlineJournalInfo><KeywordList Owner="NOTNLM"><Keyword MajorTopicYN="N">Sclerotinia sclerotiorum</Keyword><Keyword MajorTopicYN="N">Sclerotinia stem rot</Keyword><Keyword MajorTopicYN="N">drop-mycelium</Keyword><Keyword MajorTopicYN="N">greenhouse inoculation</Keyword><Keyword MajorTopicYN="N">prediction of field resistance</Keyword><Keyword MajorTopicYN="N">soybean white mold</Keyword><Keyword MajorTopicYN="N">spray-mycelium</Keyword><Keyword MajorTopicYN="N">validation of QTL for soybean white mold resistance</Keyword></KeywordList></MedlineCitation><PubmedData><History><PubMedPubDate PubStatus="received"><Year>2017</Year><Month>11</Month><Day>05</Day></PubMedPubDate><PubMedPubDate PubStatus="accepted"><Year>2018</Year><Month>04</Month><Day>03</Day></PubMedPubDate><PubMedPubDate PubStatus="entrez"><Year>2018</Year><Month>5</Month><Day>8</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="pubmed"><Year>2018</Year><Month>5</Month><Day>8</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="medline"><Year>2018</Year><Month>5</Month><Day>8</Day><Hour>6</Hour><Minute>1</Minute></PubMedPubDate></History><PublicationStatus>epublish</PublicationStatus><ArticleIdList><ArticleId IdType="pubmed">29731761</ArticleId><ArticleId IdType="doi">10.3389/fpls.2018.00505</ArticleId><ArticleId IdType="pmc">PMC5921182</ArticleId></ArticleIdList><ReferenceList><Reference><Citation>Theor Appl Genet. 2004 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IdType="pubmed">29115920</ArticleId></ArticleIdList></Reference></ReferenceList></PubmedData></pubmed><affiliations><list><country><li>République populaire de Chine</li><li>États-Unis</li></country><region><li>Alabama</li><li>Dongbei</li><li>Floride</li><li>Iowa</li><li>Jilin</li><li>Michigan</li><li>Ohio</li><li>Wisconsin</li></region><settlement><li>Changchun</li><li>East Lansing</li></settlement><orgName><li>Université d'État du Michigan</li></orgName></list><tree><country name="États-Unis"><region name="Floride"><name sortKey="Kandel, Ramkrishna" sort="Kandel, Ramkrishna" uniqKey="Kandel R" first="Ramkrishna" last="Kandel">Ramkrishna Kandel</name></region><name sortKey="Chen, Charles Y" sort="Chen, Charles Y" uniqKey="Chen C" first="Charles Y" last="Chen">Charles Y. Chen</name><name sortKey="Dorrance, Ann E" sort="Dorrance, Ann E" uniqKey="Dorrance A" first="Ann E" last="Dorrance">Ann E. Dorrance</name><name sortKey="Grau, Craig R" sort="Grau, Craig R" uniqKey="Grau C" first="Craig R" last="Grau">Craig R. Grau</name><name sortKey="Liu, Jean Q" sort="Liu, Jean Q" uniqKey="Liu J" first="Jean Q" last="Liu">Jean Q. Liu</name><name sortKey="Wang, Dechun" sort="Wang, Dechun" uniqKey="Wang D" first="Dechun" last="Wang">Dechun Wang</name></country><country name="République populaire de Chine"><region name="Jilin"><name sortKey="Wang, Yang" sort="Wang, Yang" uniqKey="Wang Y" first="Yang" last="Wang">Yang Wang</name></region></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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