Identification of Novel QTL Conferring Sheath Blight Resistance in Two Weedy Rice Mapping Populations.
Genotyping-by-sequencing
Quantitative trait loci
Rice
Sheath blight disease
Weeds
Journal
Rice (New York, N.Y.)
ISSN: 1939-8425
Titre abrégé: Rice (N Y)
Pays: United States
ID NLM: 101503136
Informations de publication
Date de publication:
23 Mar 2020
23 Mar 2020
Historique:
received:
30
09
2019
accepted:
06
03
2020
entrez:
25
3
2020
pubmed:
25
3
2020
medline:
25
3
2020
Statut:
epublish
Résumé
Rice sheath blight (ShB) disease, caused by the pathogenic fungus Rhizoctonia solani, causes significant yield losses globally. US weedy rice populations, which are de-domesticated forms of indica and aus cultivated rice, appear to be more resistant to ShB than local japonica cultivated rice. We mapped quantitative trait loci (QTL) associated with ShB resistance using two F We identified nine ShB resistance QTL across both mapping populations. Five were attributable to alleles that affect plant height (PH) and heading date (HD), two growth traits that are known to be highly correlated with ShB resistance. By utilizing an approach that treated growth traits as covariates in the mapping model, we were able to infer that the remaining four QTL are involved in ShB resistance. Two of these, qShB1-2 and qShB4, are different from previously identified ShB QTL and represent new candidates for further study. Our findings suggest that ShB resistance can be improved through favorable plant growth traits and the combined effects of small to moderate-effect resistance QTL. Additionally, we show that including PH and HD as covariates in QTL mapping models is a powerful way to identify new ShB resistance QTL.
Sections du résumé
BACKGROUND
BACKGROUND
Rice sheath blight (ShB) disease, caused by the pathogenic fungus Rhizoctonia solani, causes significant yield losses globally. US weedy rice populations, which are de-domesticated forms of indica and aus cultivated rice, appear to be more resistant to ShB than local japonica cultivated rice. We mapped quantitative trait loci (QTL) associated with ShB resistance using two F
RESULTS
RESULTS
We identified nine ShB resistance QTL across both mapping populations. Five were attributable to alleles that affect plant height (PH) and heading date (HD), two growth traits that are known to be highly correlated with ShB resistance. By utilizing an approach that treated growth traits as covariates in the mapping model, we were able to infer that the remaining four QTL are involved in ShB resistance. Two of these, qShB1-2 and qShB4, are different from previously identified ShB QTL and represent new candidates for further study.
CONCLUSION
CONCLUSIONS
Our findings suggest that ShB resistance can be improved through favorable plant growth traits and the combined effects of small to moderate-effect resistance QTL. Additionally, we show that including PH and HD as covariates in QTL mapping models is a powerful way to identify new ShB resistance QTL.
Identifiants
pubmed: 32206941
doi: 10.1186/s12284-020-00381-9
pii: 10.1186/s12284-020-00381-9
pmc: PMC7090113
doi:
Types de publication
Journal Article
Langues
eng
Pagination
21Subventions
Organisme : National Science Foundation
ID : NSF award IOS-1032023
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