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Genome-Wide Association Mapping in a Rice MAGIC Plus Population Detects QTLs and Genes Useful for Biofortification

The development of rice genotypes with micronutrient-dense grains and disease resistance is one of the major priorities in rice improvement programs. We conducted Genome-wide association studies (GWAS) using a Multi-parent Advanced Generation Inter-Cross (MAGIC) Plus population to identify QTLs and...

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Autores principales: Descalsota, Gwen Iris L., Swamy, B. P. Mallikarjuna, Zaw, Hein, Inabangan-Asilo, Mary Ann, Amparado, Amery, Mauleon, Ramil, Chadha-Mohanty, Prabhjit, Arocena, Emily C., Raghavan, Chitra, Leung, Hei, Hernandez, Jose E., Lalusin, Antonio B., Mendioro, Merlyn S., Diaz, Ma. Genaleen Q., Reinke, Russell
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6158342/
https://www.ncbi.nlm.nih.gov/pubmed/30294335
http://dx.doi.org/10.3389/fpls.2018.01347
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author Descalsota, Gwen Iris L.
Swamy, B. P. Mallikarjuna
Zaw, Hein
Inabangan-Asilo, Mary Ann
Amparado, Amery
Mauleon, Ramil
Chadha-Mohanty, Prabhjit
Arocena, Emily C.
Raghavan, Chitra
Leung, Hei
Hernandez, Jose E.
Lalusin, Antonio B.
Mendioro, Merlyn S.
Diaz, Ma. Genaleen Q.
Reinke, Russell
author_facet Descalsota, Gwen Iris L.
Swamy, B. P. Mallikarjuna
Zaw, Hein
Inabangan-Asilo, Mary Ann
Amparado, Amery
Mauleon, Ramil
Chadha-Mohanty, Prabhjit
Arocena, Emily C.
Raghavan, Chitra
Leung, Hei
Hernandez, Jose E.
Lalusin, Antonio B.
Mendioro, Merlyn S.
Diaz, Ma. Genaleen Q.
Reinke, Russell
author_sort Descalsota, Gwen Iris L.
collection PubMed
description The development of rice genotypes with micronutrient-dense grains and disease resistance is one of the major priorities in rice improvement programs. We conducted Genome-wide association studies (GWAS) using a Multi-parent Advanced Generation Inter-Cross (MAGIC) Plus population to identify QTLs and SNP markers that could potentially be integrated in biofortification and disease resistance breeding. We evaluated 144 MAGIC Plus lines for agronomic and biofortification traits over two locations for two seasons, while disease resistance was screened for one season in the screen house. X-ray fluorescence technology was used to measure grain Fe and Zn concentrations. Genotyping was carried out by genotype by sequencing and a total of 14,242 SNP markers were used in the association analysis. We used Mixed linear model (MLM) with kinship and detected 57 significant genomic regions with a -log10 (P-value) ≥ 3.0. The PH(1.1) and Zn(7.1) were consistently identified in all the four environments, ten QTLs qDF(3.1), qDF(6.2) qDF(9.1) qPH(5.1) qGL(3.1), qGW(3.1), qGW(11.1), and qZn(6.2) were detected in two environments, while two major loci qBLB(11.1) and qBLB(5.1) were identified for Bacterial Leaf Blight (BLB) resistance. The associated SNP markers were found to co-locate with known major genes and QTLs such as OsMADS50 for days to flowering, osGA20ox2 for plant height, and GS3 for grain length. Similarly, Xa4 and xa5 genes were identified for BLB resistance and Pi5(t), Pi28(t), and Pi30(t) genes were identified for Blast resistance. A number of metal homeostasis genes OsMTP6, OsNAS3, OsMT2D, OsVIT1, and OsNRAMP7 were co-located with QTLs for Fe and Zn. The marker-trait relationships from Bayesian network analysis showed consistency with the results of GWAS. A number of promising candidate genes reported in our study can be further validated. We identified several QTLs/genes pyramided lines with high grain Zn and acceptable yield potential, which are a good resource for further evaluation to release as varieties as well as for use in breeding programs.
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spelling pubmed-61583422018-10-05 Genome-Wide Association Mapping in a Rice MAGIC Plus Population Detects QTLs and Genes Useful for Biofortification Descalsota, Gwen Iris L. Swamy, B. P. Mallikarjuna Zaw, Hein Inabangan-Asilo, Mary Ann Amparado, Amery Mauleon, Ramil Chadha-Mohanty, Prabhjit Arocena, Emily C. Raghavan, Chitra Leung, Hei Hernandez, Jose E. Lalusin, Antonio B. Mendioro, Merlyn S. Diaz, Ma. Genaleen Q. Reinke, Russell Front Plant Sci Plant Science The development of rice genotypes with micronutrient-dense grains and disease resistance is one of the major priorities in rice improvement programs. We conducted Genome-wide association studies (GWAS) using a Multi-parent Advanced Generation Inter-Cross (MAGIC) Plus population to identify QTLs and SNP markers that could potentially be integrated in biofortification and disease resistance breeding. We evaluated 144 MAGIC Plus lines for agronomic and biofortification traits over two locations for two seasons, while disease resistance was screened for one season in the screen house. X-ray fluorescence technology was used to measure grain Fe and Zn concentrations. Genotyping was carried out by genotype by sequencing and a total of 14,242 SNP markers were used in the association analysis. We used Mixed linear model (MLM) with kinship and detected 57 significant genomic regions with a -log10 (P-value) ≥ 3.0. The PH(1.1) and Zn(7.1) were consistently identified in all the four environments, ten QTLs qDF(3.1), qDF(6.2) qDF(9.1) qPH(5.1) qGL(3.1), qGW(3.1), qGW(11.1), and qZn(6.2) were detected in two environments, while two major loci qBLB(11.1) and qBLB(5.1) were identified for Bacterial Leaf Blight (BLB) resistance. The associated SNP markers were found to co-locate with known major genes and QTLs such as OsMADS50 for days to flowering, osGA20ox2 for plant height, and GS3 for grain length. Similarly, Xa4 and xa5 genes were identified for BLB resistance and Pi5(t), Pi28(t), and Pi30(t) genes were identified for Blast resistance. A number of metal homeostasis genes OsMTP6, OsNAS3, OsMT2D, OsVIT1, and OsNRAMP7 were co-located with QTLs for Fe and Zn. The marker-trait relationships from Bayesian network analysis showed consistency with the results of GWAS. A number of promising candidate genes reported in our study can be further validated. We identified several QTLs/genes pyramided lines with high grain Zn and acceptable yield potential, which are a good resource for further evaluation to release as varieties as well as for use in breeding programs. Frontiers Media S.A. 2018-09-20 /pmc/articles/PMC6158342/ /pubmed/30294335 http://dx.doi.org/10.3389/fpls.2018.01347 Text en Copyright © 2018 Descalsota, Swamy, Zaw, Inabangan-Asilo, Amparado, Mauleon, Chadha-Mohanty, Arocena, Raghavan, Leung, Hernandez, Lalusin, Mendioro, Diaz and Reinke. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Plant Science
Descalsota, Gwen Iris L.
Swamy, B. P. Mallikarjuna
Zaw, Hein
Inabangan-Asilo, Mary Ann
Amparado, Amery
Mauleon, Ramil
Chadha-Mohanty, Prabhjit
Arocena, Emily C.
Raghavan, Chitra
Leung, Hei
Hernandez, Jose E.
Lalusin, Antonio B.
Mendioro, Merlyn S.
Diaz, Ma. Genaleen Q.
Reinke, Russell
Genome-Wide Association Mapping in a Rice MAGIC Plus Population Detects QTLs and Genes Useful for Biofortification
title Genome-Wide Association Mapping in a Rice MAGIC Plus Population Detects QTLs and Genes Useful for Biofortification
title_full Genome-Wide Association Mapping in a Rice MAGIC Plus Population Detects QTLs and Genes Useful for Biofortification
title_fullStr Genome-Wide Association Mapping in a Rice MAGIC Plus Population Detects QTLs and Genes Useful for Biofortification
title_full_unstemmed Genome-Wide Association Mapping in a Rice MAGIC Plus Population Detects QTLs and Genes Useful for Biofortification
title_short Genome-Wide Association Mapping in a Rice MAGIC Plus Population Detects QTLs and Genes Useful for Biofortification
title_sort genome-wide association mapping in a rice magic plus population detects qtls and genes useful for biofortification
topic Plant Science
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6158342/
https://www.ncbi.nlm.nih.gov/pubmed/30294335
http://dx.doi.org/10.3389/fpls.2018.01347
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