Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Swamy, B. P. Mallikarjuna, Descalsota, Gwen Iris L., Nha, Chau Thanh, Amparado, Amery, Inabangan-Asilo, Mary Ann, Manito, Christine, Tesoro, Frances, Reinke, Russell
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6086416/
https://www.ncbi.nlm.nih.gov/pubmed/30096168
http://dx.doi.org/10.1371/journal.pone.0201756
_version_ 1783346508646580224
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_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 PubMed
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.
format Online
Article
Text
id pubmed-6086416
institution National Center for Biotechnology Information
language English
publishDate 2018
publisher Public Library of Science
record_format MEDLINE/PubMed
spelling pubmed-60864162018-08-28 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 PLoS One Research Article 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. Public Library of Science 2018-08-10 /pmc/articles/PMC6086416/ /pubmed/30096168 http://dx.doi.org/10.1371/journal.pone.0201756 Text en © 2018 Swamy et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
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 Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6086416/
https://www.ncbi.nlm.nih.gov/pubmed/30096168
http://dx.doi.org/10.1371/journal.pone.0201756
work_keys_str_mv AT swamybpmallikarjuna identificationofgenomicregionsassociatedwithagronomicandbiofortificationtraitsindhpopulationsofrice
AT descalsotagwenirisl identificationofgenomicregionsassociatedwithagronomicandbiofortificationtraitsindhpopulationsofrice
AT nhachauthanh identificationofgenomicregionsassociatedwithagronomicandbiofortificationtraitsindhpopulationsofrice
AT amparadoamery identificationofgenomicregionsassociatedwithagronomicandbiofortificationtraitsindhpopulationsofrice
AT inabanganasilomaryann identificationofgenomicregionsassociatedwithagronomicandbiofortificationtraitsindhpopulationsofrice
AT manitochristine identificationofgenomicregionsassociatedwithagronomicandbiofortificationtraitsindhpopulationsofrice
AT tesorofrances identificationofgenomicregionsassociatedwithagronomicandbiofortificationtraitsindhpopulationsofrice
AT reinkerussell identificationofgenomicregionsassociatedwithagronomicandbiofortificationtraitsindhpopulationsofrice