2003Humana Press eBooksRequires access

QTL Analysis in Plants

Shizhong Xu

Open publisher page 155 citations

Abstract

Quantitative traits are defined as traits that have a continuous phenotypic distribution ( 1 , 2 ). Variances of these traits are often controlled by the segregation of many loci, called quantitative trait loci (QTL). Therefore, quantitative traits are often synonymously called polygenic traits. Another characteristic of quantitative traits is that environmental variates can play a large role in determining the phenotypic variance. The polygenic nature and the ability of being modified by the environment make the study of genetic basis for quantitative traits more difficult than that for monogenic traits. Traditional methods of quantitative genetics that use only the phenotypic and pedigree information cannot separate the effects of individual loci but examine the collective effect of all QTL. With the rapid development of molecular technology, a large number of molecular markers (DNA variants) can be generated with ease. Most molecular markers are functionally neutral, but they normally obey the laws of Mendelian inheritance. Therefore, the relative positions of the markers along the genome (called the marker map) can be reconstructed using observed recombin ant events. The joint segregating patterns of markers, in conjunction with phenotypic and pedigree information, provides additional information about the genetic basis of quantitative traits, including the number and chromosomal locations of QTL, the mode of gene action, and sizes (effects) of individual QTL. A complete description of the properties of QTL is called the genetic architecture. The study of the genetic architecture of quantitative traits using molecular markers is called QTL mapping. These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

About this research paper

What this paper is about

Quantitative traits are defined as traits that have a continuous phenotypic distribution ( 1 , 2 ). Variances of these traits are often controlled by the segregation of many loci, called quantitative trait loci (QTL). Therefore, quantitative traits are often synonymously called polygenic traits. Another characteristic of quantitative traits is that environmental variates can play a large role in determining the phenotypic variance. The polygenic nature and the ability of being modified by the environment make the study of genetic basis for quantitative traits more difficult than that for monogenic traits. Traditional methods of quantitative genetics that use only the phenotypic and pedigree information cannot separate the effects of individual loci but examine the collective effect of all QTL. With the rapid development of molecular technology, a large number of molecular markers (DNA variants) can be generated with ease. Most molecular markers are functionally neutral, but they normally obey the laws of Mendelian inheritance. Therefore, the relative positions of the markers along the genome (called the marker map) can be reconstructed using observed recombin ant events. The joint segregating patterns of markers, in conjunction with phenotypic and pedigree information, provides additional information about the genetic basis of quantitative traits, including the number and chromosomal locations of QTL, the mode of gene action, and sizes (effects) of individual QTL. A complete description of the properties of QTL is called the genetic architecture. The study of the genetic architecture of quantitative traits using molecular markers is called QTL mapping. These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Why it matters

OpenAlex reports 155 citations for this work. Citation counts describe recorded attention and do not establish research quality.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available abstract

Quantitative traits are defined as traits that have a continuous phenotypic distribution ( 1 , 2 ). Variances of these traits are often controlled by the segregation of many loci, called quantitative trait loci (QTL). Therefore, quantitative traits are often synonymously called polygenic traits. Another characteristic of quantitative traits is that environmental variates can play a large role in determining the phenotypic variance. The polygenic nature and the ability of being modified by the environment make the study of genetic basis for quantitative traits more difficult than that for monogenic traits. Traditional methods of quantitative genetics that use only the phenotypic and pedigree information cannot separate the effects of individual loci but examine the collective effect of all QTL. With the rapid development of molecular technology, a large number of molecular markers (DNA variants) can be generated with ease. Most molecular markers are functionally neutral, but they normally obey the laws of Mendelian inheritance. Therefore, the relative positions of the markers along the genome (called the marker map) can be reconstructed using observed recombin ant events. The joint segregating patterns of markers, in conjunction with phenotypic and pedigree information, provides additional information about the genetic basis of quantitative traits, including the number and chromosomal locations of QTL, the mode of gene action, and sizes (effects) of individual QTL. A complete description of the properties of QTL is called the genetic architecture. The study of the genetic architecture of quantitative traits using molecular markers is called QTL mapping. These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Key concepts: Quantitative trait locus, Genetic architecture, Biology, Family-based QTL mapping, Mendelian inheritance, Quantitative genetics, Polygene, Genetics

Related papers

Back to paper searchBrowse research topicsOriginal source
QTL Analysis in Plants — Research Paper | ScholarLens