Cargando…

Identification of Genomic Regions Associated with High Grain Zn Content in Polished Rice Using Genotyping-by-Sequencing (GBS)

Globally, micronutrient (iron and zinc) enriched rice has been a sustainable and cost-effective solution to overcome malnutrition or hidden hunger. Understanding the genetic basis and identifying the genomic regions for grain zinc (Zn) across diverse genetic backgrounds is an important step to devel...

Descripción completa

Detalles Bibliográficos
Autores principales: Uttam, Goparaju Anurag, Suman, Karre, Jaldhani, Veerendra, Babu, Pulagam Madhu, Rao, Durbha Sanjeeva, Sundaram, Raman Meenakshi, Neeraja, Chirravuri Naga
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9824299/
https://www.ncbi.nlm.nih.gov/pubmed/36616273
http://dx.doi.org/10.3390/plants12010144
_version_ 1784866375554039808
author Uttam, Goparaju Anurag
Suman, Karre
Jaldhani, Veerendra
Babu, Pulagam Madhu
Rao, Durbha Sanjeeva
Sundaram, Raman Meenakshi
Neeraja, Chirravuri Naga
author_facet Uttam, Goparaju Anurag
Suman, Karre
Jaldhani, Veerendra
Babu, Pulagam Madhu
Rao, Durbha Sanjeeva
Sundaram, Raman Meenakshi
Neeraja, Chirravuri Naga
author_sort Uttam, Goparaju Anurag
collection PubMed
description Globally, micronutrient (iron and zinc) enriched rice has been a sustainable and cost-effective solution to overcome malnutrition or hidden hunger. Understanding the genetic basis and identifying the genomic regions for grain zinc (Zn) across diverse genetic backgrounds is an important step to develop biofortified rice varieties. In this case, an RIL population (306 RILs) obtained from a cross between the high-yielding rice variety MTU1010 and the high-zinc rice variety Ranbir Basmati was utilized to pinpoint the genomic region(s) and QTL(s) responsible for grain zinc (Zn) content. A total of 2746 SNP markers spanning a genetic distance of 2445 cM were employed for quantitative trait loci (QTL) analysis, which resulted in the identification of 47 QTLs for mineral (Zn and Fe) and agronomic traits with 3.5–36.0% phenotypic variance explained (PVE) over the seasons. On Chr02, consistent QTLs for grain Zn polished (qZnPR.2.1) and Zn brown (qZnBR.2.2) were identified. On Chr09, two additional reliable QTLs for grain Zn brown (qZnBR.9.1 and qZnBR.9.2) were identified. The major-effect QTLs identified in this study were associated with few key genes related to Zn and Fe transporter activity. The genomic regions, candidate genes, and molecular markers associated with these major QTLs will be useful for genomic-assisted breeding for developing Zn-biofortified varieties.
format Online
Article
Text
id pubmed-9824299
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher MDPI
record_format MEDLINE/PubMed
spelling pubmed-98242992023-01-08 Identification of Genomic Regions Associated with High Grain Zn Content in Polished Rice Using Genotyping-by-Sequencing (GBS) Uttam, Goparaju Anurag Suman, Karre Jaldhani, Veerendra Babu, Pulagam Madhu Rao, Durbha Sanjeeva Sundaram, Raman Meenakshi Neeraja, Chirravuri Naga Plants (Basel) Article Globally, micronutrient (iron and zinc) enriched rice has been a sustainable and cost-effective solution to overcome malnutrition or hidden hunger. Understanding the genetic basis and identifying the genomic regions for grain zinc (Zn) across diverse genetic backgrounds is an important step to develop biofortified rice varieties. In this case, an RIL population (306 RILs) obtained from a cross between the high-yielding rice variety MTU1010 and the high-zinc rice variety Ranbir Basmati was utilized to pinpoint the genomic region(s) and QTL(s) responsible for grain zinc (Zn) content. A total of 2746 SNP markers spanning a genetic distance of 2445 cM were employed for quantitative trait loci (QTL) analysis, which resulted in the identification of 47 QTLs for mineral (Zn and Fe) and agronomic traits with 3.5–36.0% phenotypic variance explained (PVE) over the seasons. On Chr02, consistent QTLs for grain Zn polished (qZnPR.2.1) and Zn brown (qZnBR.2.2) were identified. On Chr09, two additional reliable QTLs for grain Zn brown (qZnBR.9.1 and qZnBR.9.2) were identified. The major-effect QTLs identified in this study were associated with few key genes related to Zn and Fe transporter activity. The genomic regions, candidate genes, and molecular markers associated with these major QTLs will be useful for genomic-assisted breeding for developing Zn-biofortified varieties. MDPI 2022-12-28 /pmc/articles/PMC9824299/ /pubmed/36616273 http://dx.doi.org/10.3390/plants12010144 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Uttam, Goparaju Anurag
Suman, Karre
Jaldhani, Veerendra
Babu, Pulagam Madhu
Rao, Durbha Sanjeeva
Sundaram, Raman Meenakshi
Neeraja, Chirravuri Naga
Identification of Genomic Regions Associated with High Grain Zn Content in Polished Rice Using Genotyping-by-Sequencing (GBS)
title Identification of Genomic Regions Associated with High Grain Zn Content in Polished Rice Using Genotyping-by-Sequencing (GBS)
title_full Identification of Genomic Regions Associated with High Grain Zn Content in Polished Rice Using Genotyping-by-Sequencing (GBS)
title_fullStr Identification of Genomic Regions Associated with High Grain Zn Content in Polished Rice Using Genotyping-by-Sequencing (GBS)
title_full_unstemmed Identification of Genomic Regions Associated with High Grain Zn Content in Polished Rice Using Genotyping-by-Sequencing (GBS)
title_short Identification of Genomic Regions Associated with High Grain Zn Content in Polished Rice Using Genotyping-by-Sequencing (GBS)
title_sort identification of genomic regions associated with high grain zn content in polished rice using genotyping-by-sequencing (gbs)
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9824299/
https://www.ncbi.nlm.nih.gov/pubmed/36616273
http://dx.doi.org/10.3390/plants12010144
work_keys_str_mv AT uttamgoparajuanurag identificationofgenomicregionsassociatedwithhighgrainzncontentinpolishedriceusinggenotypingbysequencinggbs
AT sumankarre identificationofgenomicregionsassociatedwithhighgrainzncontentinpolishedriceusinggenotypingbysequencinggbs
AT jaldhaniveerendra identificationofgenomicregionsassociatedwithhighgrainzncontentinpolishedriceusinggenotypingbysequencinggbs
AT babupulagammadhu identificationofgenomicregionsassociatedwithhighgrainzncontentinpolishedriceusinggenotypingbysequencinggbs
AT raodurbhasanjeeva identificationofgenomicregionsassociatedwithhighgrainzncontentinpolishedriceusinggenotypingbysequencinggbs
AT sundaramramanmeenakshi identificationofgenomicregionsassociatedwithhighgrainzncontentinpolishedriceusinggenotypingbysequencinggbs
AT neerajachirravurinaga identificationofgenomicregionsassociatedwithhighgrainzncontentinpolishedriceusinggenotypingbysequencinggbs