Quantitative trait loci influencing protein and starch concentration in the Illinois Long Term Selection maize strains

1993 ◽  
Vol 87 (1-2) ◽  
pp. 217-224 ◽  
Author(s):  
I. L. Goldman ◽  
T. R. Rocheford ◽  
J. W. Dudley
Keyword(s):  
Quantitative Trait Loci ◽  
Quantitative Trait ◽  
Starch Concentration ◽  
Term Selection ◽  
Trait Loci

scholarly journals Assessing by modeling the consequences of increased recombination in genomic selection of Oryza sativa and Brassica rapa

2019 ◽  
Author(s):  
E. Tourrette ◽  
R. Bernardo ◽  
M. Falque ◽  
O. Martin
Keyword(s):  
Oryza Sativa ◽  
Quantitative Trait Loci ◽  
Genomic Selection ◽  
Brassica Rapa ◽  
Genetic Gain ◽  
Quantitative Trait ◽  
Specific Method ◽  
Response To Selection ◽  
Term Selection ◽  
Trait Loci

ABSTRACTRecombination generates genetic diversity but the number of crossovers per meiosis is limited in most species. Previous studies showed that increasing recombination can enhance response to selection. However, such studies did not assume a specific method of modifying recombination. Our objective was to test whether two methods used to increase recombination in plants could increase the genetic gain in a population undergoing genomic selection. The first method, in Oryza sativa, used a mutant of anti-crossover genes to increase global recombination without affecting the recombination landscape. The second one uses the ploidy level of a cross between Brassica rapa and Brassica napus to increase the recombination particularly in pericentromeric regions. These recombination landscapes were used to model recombination while quantitative trait loci positions were based on the actual gene distribution. We simulated selection programs with initially a cross between two inbred lines, for two species. Increased recombination enhanced the response to selection. The amount of enhancement in the cumulative gain largely depended on the species and the number of quantitative trait loci (2, 10, 20, 50, 200 or 1000 per chromosome). Genetic gains were increased up to 30% after 20 generations. Furthermore, modifying the recombination landscape was the most effective: the gain was larger by 25% with the first method and 33% with the second one in B. rapa, and 15% compared to 11% in O. sativa. Thus, increased recombination enhances the genetic gain in genomic selection for long-term selection programs, with visible effects after four to five generations.

scholarly journals Polygenic Mutation in Drosophila melanogaster: Genetic Interactions Between Selection Lines and Candidate Quantitative Trait Loci

Genetics ◽  
1996 ◽  
Vol 144 (2) ◽  
pp. 671-688 ◽  
Author(s):  
Trudy F C Mackay ◽  
James D Fry
Keyword(s):  
Quantitative Trait Loci ◽  
Quantitative Trait ◽  
Genetic Interactions ◽  
Spontaneous Mutations ◽  
Candidate Locus ◽  
Significant Group ◽  
Term Selection ◽  
Bristle Number ◽  
Trait Loci ◽  
Candidate Loci

Abstract We have investigated genetic interactions between spontaneous mutations affecting abdominal and sternopleural bristle number that have accumulated in 12 long-term selection lines derived from an inbred strain, and mutations at 14 candidate bristle number quantitative trait loci. The quantitative test for complementation was to cross the selection lines to an inbred wild-type strain (the control cross) and to a derivative of the control strain into which the mutant allele at the candidate locus to be tested was substituted (the tester strain). Genetic interactions between spontaneous mutations affecting bristle number and the candidate locus mutations were common, and in several cases the interaction effects were different in males and females. Analyses of variance of the (tester – control) differences among and within groups of replicate lines selected in the same direction for the same trait showed significant group effects for several candidate loci. Genetically, the interactions could be caused by allelism of, and/or epistasis between, spontaneous mutations in the selection lines and the candidate locus mutations. It is possible that much of the response to selection was from new mutations at candidate bristle number quantitative trait loci, and that for some of these loci, mutation rates were high.

Identification of cis-regulated genes in quantitative trait loci driving liver fibrosis

2012 ◽  
Vol 50 (08) ◽  
Author(s):  
R Hall ◽  
R Müllenbach ◽  
S Huss ◽  
R Alberts ◽  
K Schughart ◽  
...  
Keyword(s):  
Quantitative Trait Loci ◽  
Liver Fibrosis ◽  
Quantitative Trait ◽  
Trait Loci
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