Alpha 2.0
Login Register
» Articles » PMID: 24169664

Genotype-by-environment Interaction in Genetic Mapping of Multiple Quantitative Trait Loci

Overview
Journal Theor Appl Genet
Publisher Springer
Specialty Genetics
Date 2013 Oct 31
PMID 24169664
Citations 49
Authors
R C Jansen
J W van Ooijen
P Stam
C Lister
C Dean
Affiliations
Soon will be listed here.
Abstract

The interval mapping method is widely used for the genetic mapping of quantitative trait loci (QTLs), though true resolution of quantitative variation into QTLs is hampered with this method. Separation of QTLs is troublesome, because single-QTL is models are fitted. Further, genotype-by-environment interaction, which is of great importance in many quantitative traits, can only be approached by separately analyzing the data collected in multiple environments. Here, we demonstrate for the first time a novel analytic approach (MQM mapping) that accommodates both the mapping of multiple QTLs and genotype-by-environment interaction. MQM mapping is compared to interval mapping in the mapping of QTLs for flowering time in Arabidopsis thaliana under various photoperiod and vernalization conditions.

Citing Articles

A major QTL simultaneously increases the number of spikelets per spike and thousand-kernel weight in a wheat line.

Zhao C, Zhou J, Li C, You J, Liu Y, Tang H Theor Appl Genet. 2023; 136(10):213.

PMID: 37740730 DOI: 10.1007/s00122-023-04459-y.

Genetic Bases of Complex Traits: From Quantitative Trait Loci to Prediction.

Ahmadi N Methods Mol Biol. 2022; 2467:1-44.

PMID: 35451771 DOI: 10.1007/978-1-0716-2205-6_1.

Screening and identification of genes affecting grain quality and spikelet fertility during high-temperature treatment in grain filling stage of rice.

Park J, Kim E, Jang Y, Kim K BMC Plant Biol. 2021; 21(1):263.

PMID: 34098898 PMC: 8186072. DOI: 10.1186/s12870-021-03056-9.

A new genetic locus for self-compatibility in the outcrossing grass species perennial ryegrass (Lolium perenne).

Slatter L, Barth S, Manzanares C, Velmurugan J, Place I, Thorogood D Ann Bot. 2020; 127(6):715-722.

PMID: 32856713 PMC: 8103805. DOI: 10.1093/aob/mcaa140.

Linkage Analysis and Multi-Locus Genome-Wide Association Studies Identify QTNs Controlling Soybean Plant Height.

Fang Y, Liu S, Dong Q, Zhang K, Tian Z, Li X Front Plant Sci. 2020; 11:9.

PMID: 32117360 PMC: 7033546. DOI: 10.3389/fpls.2020.00009.

References
1.
Jansen R . Controlling the type I and type II errors in mapping quantitative trait loci. Genetics. 1994; 138(3):871-81. PMC: 1206235. DOI: 10.1093/genetics/138.3.871. View
2.
Stuber C, Lincoln S, Wolff D, Helentjaris T, Lander E . Identification of genetic factors contributing to heterosis in a hybrid from two elite maize inbred lines using molecular markers. Genetics. 1992; 132(3):823-39. PMC: 1205218. DOI: 10.1093/genetics/132.3.823. View
3.
Lander E, Botstein D . Mapping mendelian factors underlying quantitative traits using RFLP linkage maps. Genetics. 1989; 121(1):185-99. PMC: 1203601. DOI: 10.1093/genetics/121.1.185. View
4.
Clarke J, Dean C . Mapping FRI, a locus controlling flowering time and vernalization response in Arabidopsis thaliana. Mol Gen Genet. 1994; 242(1):81-9. DOI: 10.1007/BF00277351. View
5.
Hayes P, Liu B, Knapp S, Chen F, Jones B, Blake T . Quantitative trait locus effects and environmental interaction in a sample of North American barley germ plasm. Theor Appl Genet. 2013; 87(3):392-401. DOI: 10.1007/BF01184929. View