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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...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2015
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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. |
format | Online Article Text |
id | pubmed-4464510 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
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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