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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(3)F(4) mapping population was develope...

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Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6397320/
https://www.ncbi.nlm.nih.gov/pubmed/30824776
http://dx.doi.org/10.1038/s41598-019-39863-2
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author 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
author_facet 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
author_sort Chattopadhyay, Krishnendu
collection PubMed
description 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(3)F(4) 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(3)F(5) 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.
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spelling pubmed-63973202019-03-06 Detection of stable QTLs for grain protein content in rice (Oryza sativa L.) employing high throughput phenotyping and genotyping platforms 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 Sci Rep Article 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(3)F(4) 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(3)F(5) 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. Nature Publishing Group UK 2019-03-01 /pmc/articles/PMC6397320/ /pubmed/30824776 http://dx.doi.org/10.1038/s41598-019-39863-2 Text en © The Author(s) 2019 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
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
Detection of stable QTLs for grain protein content in rice (Oryza sativa L.) employing high throughput phenotyping and genotyping platforms
title Detection of stable QTLs for grain protein content in rice (Oryza sativa L.) employing high throughput phenotyping and genotyping platforms
title_full Detection of stable QTLs for grain protein content in rice (Oryza sativa L.) employing high throughput phenotyping and genotyping platforms
title_fullStr Detection of stable QTLs for grain protein content in rice (Oryza sativa L.) employing high throughput phenotyping and genotyping platforms
title_full_unstemmed Detection of stable QTLs for grain protein content in rice (Oryza sativa L.) employing high throughput phenotyping and genotyping platforms
title_short Detection of stable QTLs for grain protein content in rice (Oryza sativa L.) employing high throughput phenotyping and genotyping platforms
title_sort detection of stable qtls for grain protein content in rice (oryza sativa l.) employing high throughput phenotyping and genotyping platforms
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6397320/
https://www.ncbi.nlm.nih.gov/pubmed/30824776
http://dx.doi.org/10.1038/s41598-019-39863-2
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