Meta-QTL s and haplotypes for efficient zinc biofortification of rice

Biofortification of rice with improved grain zinc (Zn) content is the most sustainable and cost‐effective approach to address Zn malnutrition in Asia. Genomics‐assisted breeding using precise and consistent Zn quantitative trait loci (QTLs), genes, and haplotypes can fast‐track the development of Zn...

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Main Authors: Joshi, Gaurav, Soe, Yan Paing, Palanog, Alvin, Hore, Tapas Kumer, Nha, Chau Thanh, Calayugan, Mark Ian, Inabangan-Asilo, Mary Ann, Amparado, Amery, Pandey, Indra Deo, Sta. Cruz, Pompe C., Hernandez, Jose E., Swamy, B.P. Mallikarjuna
Format: Journal Article
Language:Inglés
Published: Wiley 2023
Subjects:
Online Access:https://hdl.handle.net/10568/163972
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author Joshi, Gaurav
Soe, Yan Paing
Palanog, Alvin
Hore, Tapas Kumer
Nha, Chau Thanh
Calayugan, Mark Ian
Inabangan-Asilo, Mary Ann
Amparado, Amery
Pandey, Indra Deo
Sta. Cruz, Pompe C.
Hernandez, Jose E.
Swamy, B.P. Mallikarjuna
author_browse Amparado, Amery
Calayugan, Mark Ian
Hernandez, Jose E.
Hore, Tapas Kumer
Inabangan-Asilo, Mary Ann
Joshi, Gaurav
Nha, Chau Thanh
Palanog, Alvin
Pandey, Indra Deo
Soe, Yan Paing
Sta. Cruz, Pompe C.
Swamy, B.P. Mallikarjuna
author_facet Joshi, Gaurav
Soe, Yan Paing
Palanog, Alvin
Hore, Tapas Kumer
Nha, Chau Thanh
Calayugan, Mark Ian
Inabangan-Asilo, Mary Ann
Amparado, Amery
Pandey, Indra Deo
Sta. Cruz, Pompe C.
Hernandez, Jose E.
Swamy, B.P. Mallikarjuna
author_sort Joshi, Gaurav
collection Repository of Agricultural Research Outputs (CGSpace)
description Biofortification of rice with improved grain zinc (Zn) content is the most sustainable and cost‐effective approach to address Zn malnutrition in Asia. Genomics‐assisted breeding using precise and consistent Zn quantitative trait loci (QTLs), genes, and haplotypes can fast‐track the development of Zn biofortified rice varieties. We conducted the meta‐analysis of 155 Zn QTLs reported from 26 different studies. Results revealed 57 meta‐QTLs with a significant reduction of 63.2% and 80% in the number and confidence interval of the Zn QTLs, respectively. Meta‐quantitative trait loci (MQTLs) regions were found to be enriched with diverse metal homeostasis genes; at least 11 MQTLs were colocated with 20 known major genes involved in the production of root exudates, metal uptake, transport, partitioning, and loading into grains in rice. These genes were differentially expressed in vegetative and reproductive tissues, and a complex web of interactions were observed among them. We identified superior haplotypes and their combinations for nine candidate genes (CGs), and the frequency and allelic effects of superior haplotypes varied in different subgroups. The precise MQTLs with high phenotypic variance, CGs, and superior haplotypes identified in our study are useful for an efficient Zn biofortification of rice and to ensure Zn as an essential component of all the future rice varieties through mainstreaming of Zn breeding.
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spelling CGSpace1639722025-05-14T10:24:19Z Meta-QTL s and haplotypes for efficient zinc biofortification of rice Joshi, Gaurav Soe, Yan Paing Palanog, Alvin Hore, Tapas Kumer Nha, Chau Thanh Calayugan, Mark Ian Inabangan-Asilo, Mary Ann Amparado, Amery Pandey, Indra Deo Sta. Cruz, Pompe C. Hernandez, Jose E. Swamy, B.P. Mallikarjuna plant science agronomy and crop science genetics Biofortification of rice with improved grain zinc (Zn) content is the most sustainable and cost‐effective approach to address Zn malnutrition in Asia. Genomics‐assisted breeding using precise and consistent Zn quantitative trait loci (QTLs), genes, and haplotypes can fast‐track the development of Zn biofortified rice varieties. We conducted the meta‐analysis of 155 Zn QTLs reported from 26 different studies. Results revealed 57 meta‐QTLs with a significant reduction of 63.2% and 80% in the number and confidence interval of the Zn QTLs, respectively. Meta‐quantitative trait loci (MQTLs) regions were found to be enriched with diverse metal homeostasis genes; at least 11 MQTLs were colocated with 20 known major genes involved in the production of root exudates, metal uptake, transport, partitioning, and loading into grains in rice. These genes were differentially expressed in vegetative and reproductive tissues, and a complex web of interactions were observed among them. We identified superior haplotypes and their combinations for nine candidate genes (CGs), and the frequency and allelic effects of superior haplotypes varied in different subgroups. The precise MQTLs with high phenotypic variance, CGs, and superior haplotypes identified in our study are useful for an efficient Zn biofortification of rice and to ensure Zn as an essential component of all the future rice varieties through mainstreaming of Zn breeding. 2023-12 2024-12-19T12:53:14Z 2024-12-19T12:53:14Z Journal Article https://hdl.handle.net/10568/163972 en Open Access Wiley Joshi, Gaurav; Soe, Yan Paing; Palanog, Alvin; Hore, Tapas Kumer; Nha, Chau Thanh; Calayugan, Mark Ian; Inabangan‐Asilo, Mary Ann; Amparado, Amery; Pandey, Indra Deo; Cruz, Pompe C. Sta; Hernandez, Jose E. and Swamy, B. P. Mallikarjuna. 2023. Meta-QTL s and haplotypes for efficient zinc biofortification of rice. The Plant Genome, Volume 16, no. 4
spellingShingle plant science
agronomy and crop science
genetics
Joshi, Gaurav
Soe, Yan Paing
Palanog, Alvin
Hore, Tapas Kumer
Nha, Chau Thanh
Calayugan, Mark Ian
Inabangan-Asilo, Mary Ann
Amparado, Amery
Pandey, Indra Deo
Sta. Cruz, Pompe C.
Hernandez, Jose E.
Swamy, B.P. Mallikarjuna
Meta-QTL s and haplotypes for efficient zinc biofortification of rice
title Meta-QTL s and haplotypes for efficient zinc biofortification of rice
title_full Meta-QTL s and haplotypes for efficient zinc biofortification of rice
title_fullStr Meta-QTL s and haplotypes for efficient zinc biofortification of rice
title_full_unstemmed Meta-QTL s and haplotypes for efficient zinc biofortification of rice
title_short Meta-QTL s and haplotypes for efficient zinc biofortification of rice
title_sort meta qtl s and haplotypes for efficient zinc biofortification of rice
topic plant science
agronomy and crop science
genetics
url https://hdl.handle.net/10568/163972
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