Detection of stable QTLs for grain protein content in rice (Oryza sativa L.) employing high throughput phenotyping and genotyping platforms

Lack of appropriate donors, non-utilization of high throughput phenotyping and genotyping platforms with high genotype × environment interaction restrained identification of robust QTLs for grain protein content (GPC) in rice. In the present investigation a  BC F mapping population was developed usi...

Full description

Saved in:
Bibliographic Details
Published in:Scientific reports 2019-03, Vol.9 (1), p.3196-3196, Article 3196
Main Authors: Chattopadhyay, Krishnendu, Behera, Lambodar, Bagchi, Torit Baran, Sardar, Sushree Sibanee, Moharana, Nutan, Patra, Niraja Rani, Chakraborti, Mridul, Das, Avijit, Marndi, Bishnu Charan, Sarkar, Ananta, Ngangkham, Umakanta, Chakraborty, Koushik, Bose, Lotan Kumar, Sarkar, Sutapa, Ray, Soham, Sharma, Srigopal
Format: Article
Language:English
Subjects:
Chromosome 1
Cultivars
Epistasis
Gene mapping
Genotype-environment interactions
Genotypes
Genotyping
Glutelin
Oryza sativa
Peptide mapping
Phenotyping
Proteins
Quantitative trait loci
Single-nucleotide polymorphism
Spectroscopy
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:Lack of appropriate donors, non-utilization of high throughput phenotyping and genotyping platforms with high genotype × environment interaction restrained identification of robust QTLs for grain protein content (GPC) in rice. In the present investigation a  BC F mapping population was developed using grain protein donor, ARC10075 and high-yielding cultivar Naveen and 190 lines were genotyped using 40 K Affimetrix custom SNP array with the objective to identify stable QTLs for protein content. Three of the identified QTLs, one for GPC (qGPC1.1) and the other two for single grain protein content (qSGPC2.1, qSGPC7.1) were stable over the environments explaining  13%, 14% and 7.8% of the phenotypic variances, respectively. Stability and repeatability of these additive QTLs were supported by the synergistic additive effects of multi-environmental-QTLs. One epistatic-QTL, independent of  the  main effect QTL was detected over the environment for SGPC. A few functional genes governing seed storage protein were hypothesised inside these identified QTLs. The qGPC1.1 was validated by NIR Spectroscopy-based high throughput phenotyping in BC F population. Higher glutelin content was estimated in high-protein lines with the introgression of qGPC1.1 in telomeric region of short arm of chromosome 1. This was supported by the postulation of probable candidate gene inside this QTL region encoding glutelin family proteins.
ISSN:2045-2322
2045-2322
DOI:10.1038/s41598-019-39863-2