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Deciphering the Genetic Architecture of Cooked Rice Texture

The textural attributes of cooked rice determine palatability and consumer acceptance. Henceforth, understanding the underlying genetic basis is pivotal for the genetic improvement of preferred textural attributes in breeding programs. We characterized diverse set of 236 Indica accessions from 37 co...

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Autores principales: Misra, Gopal, Badoni, Saurabh, Domingo, Cyril John, Cuevas, Rosa Paula O., Llorente, Cindy, Mbanjo, Edwige Gaby Nkouaya, Sreenivasulu, Nese
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6176215/
https://www.ncbi.nlm.nih.gov/pubmed/30333842
http://dx.doi.org/10.3389/fpls.2018.01405
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author Misra, Gopal
Badoni, Saurabh
Domingo, Cyril John
Cuevas, Rosa Paula O.
Llorente, Cindy
Mbanjo, Edwige Gaby Nkouaya
Sreenivasulu, Nese
author_facet Misra, Gopal
Badoni, Saurabh
Domingo, Cyril John
Cuevas, Rosa Paula O.
Llorente, Cindy
Mbanjo, Edwige Gaby Nkouaya
Sreenivasulu, Nese
author_sort Misra, Gopal
collection PubMed
description The textural attributes of cooked rice determine palatability and consumer acceptance. Henceforth, understanding the underlying genetic basis is pivotal for the genetic improvement of preferred textural attributes in breeding programs. We characterized diverse set of 236 Indica accessions from 37 countries for textural attributes, which includes adhesiveness (ADH), hardness (HRD), springiness (SPR), and cohesiveness (COH) as well as amylose content (AC). A set of 147,692 high quality SNPs resulting from genotyping data of 700K high Density Rice Array (HDRA) derived from the Indica diversity panels of 218 lines were retained for marker-trait associations of textural attributes using single-locus (SL) genome wide association studies (GWAS) which resulted in identifying hotspot on chromosome 6 for AC and ADH attributes. Four independent multi-locus approaches (ML-GWAS) including FASTmrEMMA, pLARmEB, mrMLM, and ISIS_EM-BLASSO were implemented to dissect additional loci of major/minor effects influencing the rice texture and to overcome limitations of SL-based GWAS approach. In total 224 significant quantitative trait nucleotide (QTNs) were identified using ML-GWAS, of which 97 were validated with at least two out of the four multi-locus methods. The GWAS results were in accordance with the very significant negative correlation (r = −0.83) observed between AC and ADH, and the significant correlation exhibited by AC (r < 0.4) with HRD, SPR, and COH. The novel haplotypes and putative candidate genes influencing textural properties beyond AC will be a useful resource for deployment into the marker assisted program to capture consumer preferences influencing rice texture and palatability.
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spelling pubmed-61762152018-10-17 Deciphering the Genetic Architecture of Cooked Rice Texture Misra, Gopal Badoni, Saurabh Domingo, Cyril John Cuevas, Rosa Paula O. Llorente, Cindy Mbanjo, Edwige Gaby Nkouaya Sreenivasulu, Nese Front Plant Sci Plant Science The textural attributes of cooked rice determine palatability and consumer acceptance. Henceforth, understanding the underlying genetic basis is pivotal for the genetic improvement of preferred textural attributes in breeding programs. We characterized diverse set of 236 Indica accessions from 37 countries for textural attributes, which includes adhesiveness (ADH), hardness (HRD), springiness (SPR), and cohesiveness (COH) as well as amylose content (AC). A set of 147,692 high quality SNPs resulting from genotyping data of 700K high Density Rice Array (HDRA) derived from the Indica diversity panels of 218 lines were retained for marker-trait associations of textural attributes using single-locus (SL) genome wide association studies (GWAS) which resulted in identifying hotspot on chromosome 6 for AC and ADH attributes. Four independent multi-locus approaches (ML-GWAS) including FASTmrEMMA, pLARmEB, mrMLM, and ISIS_EM-BLASSO were implemented to dissect additional loci of major/minor effects influencing the rice texture and to overcome limitations of SL-based GWAS approach. In total 224 significant quantitative trait nucleotide (QTNs) were identified using ML-GWAS, of which 97 were validated with at least two out of the four multi-locus methods. The GWAS results were in accordance with the very significant negative correlation (r = −0.83) observed between AC and ADH, and the significant correlation exhibited by AC (r < 0.4) with HRD, SPR, and COH. The novel haplotypes and putative candidate genes influencing textural properties beyond AC will be a useful resource for deployment into the marker assisted program to capture consumer preferences influencing rice texture and palatability. Frontiers Media S.A. 2018-10-02 /pmc/articles/PMC6176215/ /pubmed/30333842 http://dx.doi.org/10.3389/fpls.2018.01405 Text en Copyright © 2018 Misra, Badoni, Domingo, Cuevas, Llorente, Mbanjo and Sreenivasulu. http://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 Plant Science
Misra, Gopal
Badoni, Saurabh
Domingo, Cyril John
Cuevas, Rosa Paula O.
Llorente, Cindy
Mbanjo, Edwige Gaby Nkouaya
Sreenivasulu, Nese
Deciphering the Genetic Architecture of Cooked Rice Texture
title Deciphering the Genetic Architecture of Cooked Rice Texture
title_full Deciphering the Genetic Architecture of Cooked Rice Texture
title_fullStr Deciphering the Genetic Architecture of Cooked Rice Texture
title_full_unstemmed Deciphering the Genetic Architecture of Cooked Rice Texture
title_short Deciphering the Genetic Architecture of Cooked Rice Texture
title_sort deciphering the genetic architecture of cooked rice texture
topic Plant Science
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6176215/
https://www.ncbi.nlm.nih.gov/pubmed/30333842
http://dx.doi.org/10.3389/fpls.2018.01405
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