scholarly journals A Quantitative Trait Locus Analysis of Natural Genetic Variation for Drosophila melanogaster Oxidative Stress Survival

2006 ◽  
Vol 97 (4) ◽  
pp. 355-366 ◽  
Author(s):  
Y. Wang
Keyword(s):  
Oxidative Stress ◽  
Quantitative Trait Locus ◽  
Drosophila Melanogaster ◽  
Genetic Variation ◽  
Quantitative Trait Locus Analysis ◽  
Quantitative Trait ◽  
Natural Genetic Variation ◽  
Stress Survival ◽  
Trait Locus

scholarly journals Consequences of Recombination Rate Variation on Quantitative Trait Locus Mapping Studies: Simulations Based on the Drosophila melanogaster Genome

Genetics ◽  
2001 ◽  
Vol 159 (2) ◽  
pp. 581-588
Author(s):  
Mohamed A F Noor ◽  
Aimee L Cunningham ◽  
John C Larkin
Keyword(s):  
Quantitative Trait Locus ◽  
Drosophila Melanogaster ◽  
Qtl Mapping ◽  
Quantitative Trait ◽  
Recombination Rate ◽  
Genome Project ◽  
Gene Density ◽  
Rate Variation ◽  
Trait Locus ◽  
Recombination Rate Variation

Abstract We examine the effect of variation in gene density per centimorgan on quantitative trait locus (QTL) mapping studies using data from the Drosophila melanogaster genome project and documented regional rates of recombination. There is tremendous variation in gene density per centimorgan across this genome, and we observe that this variation can cause systematic biases in QTL mapping studies. Specifically, in our simulated mapping experiments of 50 equal-effect QTL distributed randomly across the physical genome, very strong QTL are consistently detected near the centromeres of the two major autosomes, and few or no QTL are often detected on the X chromosome. This pattern persisted with varying heritability, marker density, QTL effect sizes, and transgressive segregation. Our results are consistent with empirical data collected from QTL mapping studies of this species and its close relatives, and they explain the “small X-effect” that has been documented in genetic studies of sexual isolation in the D. melanogaster group. Because of the biases resulting from recombination rate variation, results of QTL mapping studies should be taken as hypotheses to be tested by additional genetic methods, particularly in species for which detailed genetic and physical genome maps are not available.

Quantitative trait locus analysis of boll-related traits in an intraspecific population of Gossypium hirsutum

Euphytica ◽  
2014 ◽  
Vol 203 (1) ◽  
pp. 121-144 ◽  
Author(s):  
Shuwen Zhang ◽  
Ting Wang ◽  
Quan Liu ◽  
Xiang Gao ◽  
Xiefei Zhu ◽  
...  
Keyword(s):  
Quantitative Trait Locus ◽  
Gossypium Hirsutum ◽  
Quantitative Trait Locus Analysis ◽  
Quantitative Trait ◽  
Trait Locus

scholarly journals Quantitative Trait Locus Analysis for Cold Tolerance at the Booting Stage in a Rice Cultivar, Hatsushizuku

2009 ◽  
Vol 43 (2) ◽  
pp. 115-121 ◽  
Author(s):  
Makoto KUROKI ◽  
Koji SAITO ◽  
Shuichi MATSUBA ◽  
Narifumi YOKOGAMI ◽  
Hiroyuki SHIMIZU ◽  
...  
Keyword(s):  
Quantitative Trait Locus ◽  
Quantitative Trait Locus Analysis ◽  
Cold Tolerance ◽  
Quantitative Trait ◽  
Rice Cultivar ◽  
Booting Stage ◽  
Trait Locus

Quantitative trait locus analysis for soybean (Glycine max ) seed protein and oil concentrations using selected breeding populations

2018 ◽  
Vol 138 (1) ◽  
pp. 95-104 ◽  
Author(s):  
Jeong-Hyun Seo ◽  
Ki-Seung Kim ◽  
Jong-Min Ko ◽  
Man-Soo Choi ◽  
Beom-Kyu Kang ◽  
...  
Keyword(s):  
Quantitative Trait Locus ◽  
Glycine Max ◽  
Quantitative Trait Locus Analysis ◽  
Quantitative Trait ◽  
Seed Protein ◽  
Breeding Populations ◽  
Trait Locus
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