Cargando…

Identification of QTLs for rice grain size and weight by high-throughput SNP markers in the IR64 x Sadri population

Grain appearance is one of the most important attributes of rice. It is determined by grain size, shape, and weight, which in turn influences the rice yield and market value. In this study, QTLs for grain length, grain width, grain length/width ratio, and grain weight were mapped using the high-thro...

Descripción completa

Detalles Bibliográficos
Autores principales: Aslam, Kashif, Naveed, Shahzad Amir, Sabar, Muhammad, Shabir, Ghulam, Shah, Shahid Masood, Khan, Abdul Rehman, Shah, Muhammad Musaddiq, Fiaz, Sajid, Xu, Jianlong, Arif, Muhammad
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9437704/
https://www.ncbi.nlm.nih.gov/pubmed/36061203
http://dx.doi.org/10.3389/fgene.2022.955347
_version_ 1784781677189398528
author Aslam, Kashif
Naveed, Shahzad Amir
Sabar, Muhammad
Shabir, Ghulam
Shah, Shahid Masood
Khan, Abdul Rehman
Shah, Muhammad Musaddiq
Fiaz, Sajid
Xu, Jianlong
Arif, Muhammad
author_facet Aslam, Kashif
Naveed, Shahzad Amir
Sabar, Muhammad
Shabir, Ghulam
Shah, Shahid Masood
Khan, Abdul Rehman
Shah, Muhammad Musaddiq
Fiaz, Sajid
Xu, Jianlong
Arif, Muhammad
author_sort Aslam, Kashif
collection PubMed
description Grain appearance is one of the most important attributes of rice. It is determined by grain size, shape, and weight, which in turn influences the rice yield and market value. In this study, QTLs for grain length, grain width, grain length/width ratio, and grain weight were mapped using the high-throughput indica/indica SNP platforms. The population of the mega indica variety IR64 and the high-quality aromatic variety Sadri from Iran was phenotyped. Based on this phenotypic data, plants of 94 F(2:3) families including both parents were selected. A linkage map analysis of 210 SNP markers identified 14 QTLs controlling the grain length, grain width, length/width ratio, and 1,000 grain weight. Among these 14, one important region containing the QTLs for all the four studies’ traits was mapped on chromosome 8. It was derived from Sadri for the decreased length/width ratio and increased grain weight. This study demonstrated the speed and efficiency in using multiplex SNP genotyping for QTL analysis. Moreover, this study identified four novel QTLs (qGL8, qTGW8, qLWR8, and qGW8) sharing the same position on chromosome 8 which were linked with grain quality characteristics between one indica and one aromatic variety. It will enable more precise marker-assisted selection for grain weight, shape, and size. Further in-depth studies are required to dissect this region of interest and identify the related gene(s).
format Online
Article
Text
id pubmed-9437704
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher Frontiers Media S.A.
record_format MEDLINE/PubMed
spelling pubmed-94377042022-09-03 Identification of QTLs for rice grain size and weight by high-throughput SNP markers in the IR64 x Sadri population Aslam, Kashif Naveed, Shahzad Amir Sabar, Muhammad Shabir, Ghulam Shah, Shahid Masood Khan, Abdul Rehman Shah, Muhammad Musaddiq Fiaz, Sajid Xu, Jianlong Arif, Muhammad Front Genet Genetics Grain appearance is one of the most important attributes of rice. It is determined by grain size, shape, and weight, which in turn influences the rice yield and market value. In this study, QTLs for grain length, grain width, grain length/width ratio, and grain weight were mapped using the high-throughput indica/indica SNP platforms. The population of the mega indica variety IR64 and the high-quality aromatic variety Sadri from Iran was phenotyped. Based on this phenotypic data, plants of 94 F(2:3) families including both parents were selected. A linkage map analysis of 210 SNP markers identified 14 QTLs controlling the grain length, grain width, length/width ratio, and 1,000 grain weight. Among these 14, one important region containing the QTLs for all the four studies’ traits was mapped on chromosome 8. It was derived from Sadri for the decreased length/width ratio and increased grain weight. This study demonstrated the speed and efficiency in using multiplex SNP genotyping for QTL analysis. Moreover, this study identified four novel QTLs (qGL8, qTGW8, qLWR8, and qGW8) sharing the same position on chromosome 8 which were linked with grain quality characteristics between one indica and one aromatic variety. It will enable more precise marker-assisted selection for grain weight, shape, and size. Further in-depth studies are required to dissect this region of interest and identify the related gene(s). Frontiers Media S.A. 2022-08-19 /pmc/articles/PMC9437704/ /pubmed/36061203 http://dx.doi.org/10.3389/fgene.2022.955347 Text en Copyright © 2022 Aslam, Naveed, Sabar, Shabir, Shah, Khan, Shah, Fiaz, Xu and Arif. https://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 Genetics
Aslam, Kashif
Naveed, Shahzad Amir
Sabar, Muhammad
Shabir, Ghulam
Shah, Shahid Masood
Khan, Abdul Rehman
Shah, Muhammad Musaddiq
Fiaz, Sajid
Xu, Jianlong
Arif, Muhammad
Identification of QTLs for rice grain size and weight by high-throughput SNP markers in the IR64 x Sadri population
title Identification of QTLs for rice grain size and weight by high-throughput SNP markers in the IR64 x Sadri population
title_full Identification of QTLs for rice grain size and weight by high-throughput SNP markers in the IR64 x Sadri population
title_fullStr Identification of QTLs for rice grain size and weight by high-throughput SNP markers in the IR64 x Sadri population
title_full_unstemmed Identification of QTLs for rice grain size and weight by high-throughput SNP markers in the IR64 x Sadri population
title_short Identification of QTLs for rice grain size and weight by high-throughput SNP markers in the IR64 x Sadri population
title_sort identification of qtls for rice grain size and weight by high-throughput snp markers in the ir64 x sadri population
topic Genetics
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9437704/
https://www.ncbi.nlm.nih.gov/pubmed/36061203
http://dx.doi.org/10.3389/fgene.2022.955347
work_keys_str_mv AT aslamkashif identificationofqtlsforricegrainsizeandweightbyhighthroughputsnpmarkersintheir64xsadripopulation
AT naveedshahzadamir identificationofqtlsforricegrainsizeandweightbyhighthroughputsnpmarkersintheir64xsadripopulation
AT sabarmuhammad identificationofqtlsforricegrainsizeandweightbyhighthroughputsnpmarkersintheir64xsadripopulation
AT shabirghulam identificationofqtlsforricegrainsizeandweightbyhighthroughputsnpmarkersintheir64xsadripopulation
AT shahshahidmasood identificationofqtlsforricegrainsizeandweightbyhighthroughputsnpmarkersintheir64xsadripopulation
AT khanabdulrehman identificationofqtlsforricegrainsizeandweightbyhighthroughputsnpmarkersintheir64xsadripopulation
AT shahmuhammadmusaddiq identificationofqtlsforricegrainsizeandweightbyhighthroughputsnpmarkersintheir64xsadripopulation
AT fiazsajid identificationofqtlsforricegrainsizeandweightbyhighthroughputsnpmarkersintheir64xsadripopulation
AT xujianlong identificationofqtlsforricegrainsizeandweightbyhighthroughputsnpmarkersintheir64xsadripopulation
AT arifmuhammad identificationofqtlsforricegrainsizeandweightbyhighthroughputsnpmarkersintheir64xsadripopulation