Identification of genomic regions associated with agronomic and biofortification traits in DH populations of rice

Rice provides energy and nutrition to more than half of the world’s population. Breeding rice varieties with the increased levels of bioavailable micronutrients is one of the most sustainable approaches to tackle micronutrient malnutrition. So, high zinc and iron content in the grain are primary tar...

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Main Authors: Swamy, B.P. Mallikarjuna, Descalsota, Gwen Iris L., Nha, Chau Thanh, Amparado, Amery, Inabangan-Asilo, Mary Ann, Manito, Christine, Tesoro, Frances, Reinke, Russell
Format: Journal Article
Language:Inglés
Published: Public Library of Science 2018
Subjects:
Online Access:https://hdl.handle.net/10568/164820
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author Swamy, B.P. Mallikarjuna
Descalsota, Gwen Iris L.
Nha, Chau Thanh
Amparado, Amery
Inabangan-Asilo, Mary Ann
Manito, Christine
Tesoro, Frances
Reinke, Russell
author_browse Amparado, Amery
Descalsota, Gwen Iris L.
Inabangan-Asilo, Mary Ann
Manito, Christine
Nha, Chau Thanh
Reinke, Russell
Swamy, B.P. Mallikarjuna
Tesoro, Frances
author_facet Swamy, B.P. Mallikarjuna
Descalsota, Gwen Iris L.
Nha, Chau Thanh
Amparado, Amery
Inabangan-Asilo, Mary Ann
Manito, Christine
Tesoro, Frances
Reinke, Russell
author_sort Swamy, B.P. Mallikarjuna
collection Repository of Agricultural Research Outputs (CGSpace)
description Rice provides energy and nutrition to more than half of the world’s population. Breeding rice varieties with the increased levels of bioavailable micronutrients is one of the most sustainable approaches to tackle micronutrient malnutrition. So, high zinc and iron content in the grain are primary targets in rice biofortification breeding. In this study, we conducted QTL mapping using doubled haploid (DH) populations, PSBRc82 x Joryeongbyeo and PSBRc82 x IR69428, phenotyped for agronomic traits and micronutrients during two growing seasons and using genotypic information from analysis with the 6K SNP chip. A number of DH lines were identified as having high grain Zn and Fe content in polished rice. Importantly, we identified 20 QTLs for agronomic traits and 59 QTLs for a number of biofortification traits. Of the 79 QTLs, 12 were large-effect QTLs (>25% PVE), nine QTLs were consistent across seasons in either population, and one QTL was identified in both populations. Moreover, at least two QTLs were clustered in defined regions of chromosomes 1, 2, 3, 4, 5, 7 and 9. Eight epistatic interactions were detected for Cu, Mg, Na, and Zn in population 1. Furthermore, we identified several candidate genes near QTLs for grain Zn (OsNRAMP, OsNAS, OsZIP, OsYSL, OsFER, and OsZIFL family) and grain yield (OsSPL14 and OsSPL16). These new QTLs and candidate genes help to further elucidate the genetic basis for grain micronutrient concentration, and may prove useful for marker assisted breeding for this important trait.
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spelling CGSpace1648202025-05-14T10:23:58Z Identification of genomic regions associated with agronomic and biofortification traits in DH populations of rice Swamy, B.P. Mallikarjuna Descalsota, Gwen Iris L. Nha, Chau Thanh Amparado, Amery Inabangan-Asilo, Mary Ann Manito, Christine Tesoro, Frances Reinke, Russell agronomic traits biofortification chromosomes food supply genomics health human nutrition plant breeding identification genomes genetics agronomic characters rice oryza energy nutrition malnutrition famine trace elements zinc iron grain Rice provides energy and nutrition to more than half of the world’s population. Breeding rice varieties with the increased levels of bioavailable micronutrients is one of the most sustainable approaches to tackle micronutrient malnutrition. So, high zinc and iron content in the grain are primary targets in rice biofortification breeding. In this study, we conducted QTL mapping using doubled haploid (DH) populations, PSBRc82 x Joryeongbyeo and PSBRc82 x IR69428, phenotyped for agronomic traits and micronutrients during two growing seasons and using genotypic information from analysis with the 6K SNP chip. A number of DH lines were identified as having high grain Zn and Fe content in polished rice. Importantly, we identified 20 QTLs for agronomic traits and 59 QTLs for a number of biofortification traits. Of the 79 QTLs, 12 were large-effect QTLs (>25% PVE), nine QTLs were consistent across seasons in either population, and one QTL was identified in both populations. Moreover, at least two QTLs were clustered in defined regions of chromosomes 1, 2, 3, 4, 5, 7 and 9. Eight epistatic interactions were detected for Cu, Mg, Na, and Zn in population 1. Furthermore, we identified several candidate genes near QTLs for grain Zn (OsNRAMP, OsNAS, OsZIP, OsYSL, OsFER, and OsZIFL family) and grain yield (OsSPL14 and OsSPL16). These new QTLs and candidate genes help to further elucidate the genetic basis for grain micronutrient concentration, and may prove useful for marker assisted breeding for this important trait. 2018-08-10 2024-12-19T12:54:20Z 2024-12-19T12:54:20Z Journal Article https://hdl.handle.net/10568/164820 en Open Access Public Library of Science Swamy, B. P. Mallikarjuna; Descalsota, Gwen Iris L.; Nha, Chau Thanh; Amparado, Amery; Inabangan-Asilo, Mary Ann; Manito, Christine; Tesoro, Frances and Reinke, Russell. 2018. Identification of genomic regions associated with agronomic and biofortification traits in DH populations of rice. PLoS ONE, Volume 13 no. 8 p. e0201756
spellingShingle agronomic traits
biofortification
chromosomes
food supply
genomics
health
human nutrition
plant breeding
identification
genomes
genetics
agronomic characters
rice
oryza
energy
nutrition
malnutrition
famine
trace elements
zinc
iron
grain
Swamy, B.P. Mallikarjuna
Descalsota, Gwen Iris L.
Nha, Chau Thanh
Amparado, Amery
Inabangan-Asilo, Mary Ann
Manito, Christine
Tesoro, Frances
Reinke, Russell
Identification of genomic regions associated with agronomic and biofortification traits in DH populations of rice
title Identification of genomic regions associated with agronomic and biofortification traits in DH populations of rice
title_full Identification of genomic regions associated with agronomic and biofortification traits in DH populations of rice
title_fullStr Identification of genomic regions associated with agronomic and biofortification traits in DH populations of rice
title_full_unstemmed Identification of genomic regions associated with agronomic and biofortification traits in DH populations of rice
title_short Identification of genomic regions associated with agronomic and biofortification traits in DH populations of rice
title_sort identification of genomic regions associated with agronomic and biofortification traits in dh populations of rice
topic agronomic traits
biofortification
chromosomes
food supply
genomics
health
human nutrition
plant breeding
identification
genomes
genetics
agronomic characters
rice
oryza
energy
nutrition
malnutrition
famine
trace elements
zinc
iron
grain
url https://hdl.handle.net/10568/164820
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