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Application of an Effective Statistical Technique for an Accurate and Powerful Mining of Quantitative Trait Loci for Rice Aroma Trait

When a phenotype of interest is associated with an external/internal covariate, covariate inclusion in quantitative trait loci (QTL) analyses can diminish residual variation and subsequently enhance the ability of QTL detection. In the in vitro synthesis of 2-acetyl-1-pyrroline (2AP), the main fragr...

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Autores principales: Golestan Hashemi, Farahnaz Sadat, Rafii, Mohd Y., Ismail, Mohd Razi, Mohamed, Mahmud Tengku Muda, Rahim, Harun A., Latif, Mohammad Abdul, Aslani, Farzad
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4464510/
https://www.ncbi.nlm.nih.gov/pubmed/26061689
http://dx.doi.org/10.1371/journal.pone.0129069
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author Golestan Hashemi, Farahnaz Sadat
Rafii, Mohd Y.
Ismail, Mohd Razi
Mohamed, Mahmud Tengku Muda
Rahim, Harun A.
Latif, Mohammad Abdul
Aslani, Farzad
author_facet Golestan Hashemi, Farahnaz Sadat
Rafii, Mohd Y.
Ismail, Mohd Razi
Mohamed, Mahmud Tengku Muda
Rahim, Harun A.
Latif, Mohammad Abdul
Aslani, Farzad
author_sort Golestan Hashemi, Farahnaz Sadat
collection PubMed
description When a phenotype of interest is associated with an external/internal covariate, covariate inclusion in quantitative trait loci (QTL) analyses can diminish residual variation and subsequently enhance the ability of QTL detection. In the in vitro synthesis of 2-acetyl-1-pyrroline (2AP), the main fragrance compound in rice, the thermal processing during the Maillard-type reaction between proline and carbohydrate reduction produces a roasted, popcorn-like aroma. Hence, for the first time, we included the proline amino acid, an important precursor of 2AP, as a covariate in our QTL mapping analyses to precisely explore the genetic factors affecting natural variation for rice scent. Consequently, two QTLs were traced on chromosomes 4 and 8. They explained from 20% to 49% of the total aroma phenotypic variance. Additionally, by saturating the interval harboring the major QTL using gene-based primers, a putative allele of fgr (major genetic determinant of fragrance) was mapped in the QTL on the 8th chromosome in the interval RM223-SCU015RM (1.63 cM). These loci supported previous studies of different accessions. Such QTLs can be widely used by breeders in crop improvement programs and for further fine mapping. Moreover, no previous studies and findings were found on simultaneous assessment of the relationship among 2AP, proline and fragrance QTLs. Therefore, our findings can help further our understanding of the metabolomic and genetic basis of 2AP biosynthesis in aromatic rice.
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spelling pubmed-44645102015-06-25 Application of an Effective Statistical Technique for an Accurate and Powerful Mining of Quantitative Trait Loci for Rice Aroma Trait Golestan Hashemi, Farahnaz Sadat Rafii, Mohd Y. Ismail, Mohd Razi Mohamed, Mahmud Tengku Muda Rahim, Harun A. Latif, Mohammad Abdul Aslani, Farzad PLoS One Research Article When a phenotype of interest is associated with an external/internal covariate, covariate inclusion in quantitative trait loci (QTL) analyses can diminish residual variation and subsequently enhance the ability of QTL detection. In the in vitro synthesis of 2-acetyl-1-pyrroline (2AP), the main fragrance compound in rice, the thermal processing during the Maillard-type reaction between proline and carbohydrate reduction produces a roasted, popcorn-like aroma. Hence, for the first time, we included the proline amino acid, an important precursor of 2AP, as a covariate in our QTL mapping analyses to precisely explore the genetic factors affecting natural variation for rice scent. Consequently, two QTLs were traced on chromosomes 4 and 8. They explained from 20% to 49% of the total aroma phenotypic variance. Additionally, by saturating the interval harboring the major QTL using gene-based primers, a putative allele of fgr (major genetic determinant of fragrance) was mapped in the QTL on the 8th chromosome in the interval RM223-SCU015RM (1.63 cM). These loci supported previous studies of different accessions. Such QTLs can be widely used by breeders in crop improvement programs and for further fine mapping. Moreover, no previous studies and findings were found on simultaneous assessment of the relationship among 2AP, proline and fragrance QTLs. Therefore, our findings can help further our understanding of the metabolomic and genetic basis of 2AP biosynthesis in aromatic rice. Public Library of Science 2015-06-10 /pmc/articles/PMC4464510/ /pubmed/26061689 http://dx.doi.org/10.1371/journal.pone.0129069 Text en © 2015 Golestan Hashemi et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Golestan Hashemi, Farahnaz Sadat
Rafii, Mohd Y.
Ismail, Mohd Razi
Mohamed, Mahmud Tengku Muda
Rahim, Harun A.
Latif, Mohammad Abdul
Aslani, Farzad
Application of an Effective Statistical Technique for an Accurate and Powerful Mining of Quantitative Trait Loci for Rice Aroma Trait
title Application of an Effective Statistical Technique for an Accurate and Powerful Mining of Quantitative Trait Loci for Rice Aroma Trait
title_full Application of an Effective Statistical Technique for an Accurate and Powerful Mining of Quantitative Trait Loci for Rice Aroma Trait
title_fullStr Application of an Effective Statistical Technique for an Accurate and Powerful Mining of Quantitative Trait Loci for Rice Aroma Trait
title_full_unstemmed Application of an Effective Statistical Technique for an Accurate and Powerful Mining of Quantitative Trait Loci for Rice Aroma Trait
title_short Application of an Effective Statistical Technique for an Accurate and Powerful Mining of Quantitative Trait Loci for Rice Aroma Trait
title_sort application of an effective statistical technique for an accurate and powerful mining of quantitative trait loci for rice aroma trait
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4464510/
https://www.ncbi.nlm.nih.gov/pubmed/26061689
http://dx.doi.org/10.1371/journal.pone.0129069
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