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

Content Provider	PubMed Central
Author	Hashemi, Farahnaz Sadat Golestan Rafii, Md. Y. Ismail, Md. Razi Mohamed, Mahmud Tengku Muda Rahim, Harun A. Latif, Md. Abdul Aslani, Farzad
Editor	Wang, Kunbo
Copyright Year	2015
Abstract	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.
Related Links	http://dx.doi.org/10.1371/journal.pone.0129069
Starting Page	129069
File Format	PDF
ISSN	19326203
e-ISSN	19326203
Journal	PLoS ONE
Issue Number	6
Volume Number	10
Language	English
Publisher	Public Library of Science
Publisher Date	2015-06-01
Access Restriction	Open
Rights Holder	Public Library of Science
Subject Keyword	Biochemistry, Genetics and Molecular Biology(all) Agricultural and Biological Sciences(all) Medicine(all) Research in Higher Education
Content Type	Text
Resource Type	Article
Subject	Multidisciplinary

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Regression-based quantitative trait loci mapping: robust, efficient and effective

Combination of Eight Alleles at Four Quantitative Trait Loci Determines Grain Length in Rice

Mapping of Quantitative Trait Loci Underlying Cold Tolerance in Rice Seedlings via High-Throughput Sequencing of Pooled Extremes

Expression quantitative trait loci: present and future

A Conceptual Framework for Mapping Quantitative Trait Loci Regulating Ontogenetic Allometry

Molecular mapping and tagging of quantitative Trait LOCI QTLs for Morpjhological physiological and yield traits in rice Oryza sativa L

Expression quantitative trait loci: present and future

Population Differences in Transcript-Regulator Expression Quantitative Trait Loci

Mapping of Imprinted Quantitative Trait Loci Using Immortalized F2 Populations

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

Similar Documents

Regression-based quantitative trait loci mapping: robust, efficient and effective

Combination of Eight Alleles at Four Quantitative Trait Loci Determines Grain Length in Rice

Mapping of Quantitative Trait Loci Underlying Cold Tolerance in Rice Seedlings via High-Throughput Sequencing of Pooled Extremes

Expression quantitative trait loci: present and future

A Conceptual Framework for Mapping Quantitative Trait Loci Regulating Ontogenetic Allometry

Molecular mapping and tagging of quantitative Trait LOCI QTLs for Morpjhological physiological and yield traits in rice Oryza sativa L

Expression quantitative trait loci: present and future

Population Differences in Transcript-Regulator Expression Quantitative Trait Loci

Mapping of Imprinted Quantitative Trait Loci Using Immortalized F2 Populations

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