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Identification of Novel QTL Conferring Sheath Blight Resistance in Two Weedy Rice Mapping Populations

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...

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Autores principales: Goad, David M., Jia, Yulin, Gibbons, Andrew, Liu, Yan, Gealy, David, Caicedo, Ana L., Olsen, Kenneth M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer US 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7090113/
https://www.ncbi.nlm.nih.gov/pubmed/32206941
http://dx.doi.org/10.1186/s12284-020-00381-9
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author Goad, David M.
Jia, Yulin
Gibbons, Andrew
Liu, Yan
Gealy, David
Caicedo, Ana L.
Olsen, Kenneth M.
author_facet Goad, David M.
Jia, Yulin
Gibbons, Andrew
Liu, Yan
Gealy, David
Caicedo, Ana L.
Olsen, Kenneth M.
author_sort Goad, David M.
collection PubMed
description 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(8) recombinant inbred line populations generated from crosses of an indica crop variety, Dee-Geo-Woo-Gen (DGWG), with individuals representing the two major US weed biotypes, straw hull (SH) and black hull awned (BHA). 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: 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.
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spelling pubmed-70901132020-03-27 Identification of Novel QTL Conferring Sheath Blight Resistance in Two Weedy Rice Mapping Populations Goad, David M. Jia, Yulin Gibbons, Andrew Liu, Yan Gealy, David Caicedo, Ana L. Olsen, Kenneth M. Rice (N Y) Original Article 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(8) recombinant inbred line populations generated from crosses of an indica crop variety, Dee-Geo-Woo-Gen (DGWG), with individuals representing the two major US weed biotypes, straw hull (SH) and black hull awned (BHA). 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: 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. Springer US 2020-03-23 /pmc/articles/PMC7090113/ /pubmed/32206941 http://dx.doi.org/10.1186/s12284-020-00381-9 Text en © The Author(s) 2020 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Original Article
Goad, David M.
Jia, Yulin
Gibbons, Andrew
Liu, Yan
Gealy, David
Caicedo, Ana L.
Olsen, Kenneth M.
Identification of Novel QTL Conferring Sheath Blight Resistance in Two Weedy Rice Mapping Populations
title Identification of Novel QTL Conferring Sheath Blight Resistance in Two Weedy Rice Mapping Populations
title_full Identification of Novel QTL Conferring Sheath Blight Resistance in Two Weedy Rice Mapping Populations
title_fullStr Identification of Novel QTL Conferring Sheath Blight Resistance in Two Weedy Rice Mapping Populations
title_full_unstemmed Identification of Novel QTL Conferring Sheath Blight Resistance in Two Weedy Rice Mapping Populations
title_short Identification of Novel QTL Conferring Sheath Blight Resistance in Two Weedy Rice Mapping Populations
title_sort identification of novel qtl conferring sheath blight resistance in two weedy rice mapping populations
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7090113/
https://www.ncbi.nlm.nih.gov/pubmed/32206941
http://dx.doi.org/10.1186/s12284-020-00381-9
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