Quantitative Trait Locus Analysis (quantitative + trait_locus_analysis)

Distribution by Scientific Domains


Selected Abstracts


Quantitative trait loci analysis of mineral element concentrations in an Arabidopsis halleri × Arabidopsis lyrata petraea F2 progeny grown on cadmium-contaminated soil

NEW PHYTOLOGIST, Issue 2 2010
Glenda Willems
Summary ,This study describes the quantitative trait locus (QTL) analysis of cadmium (Cd), zinc (Zn), iron (Fe), potassium (K), magnesium (Mg) and calcium (Ca) accumulation in the pseudometallophyte Arabidopsis halleri under conditions of Cd excess using an interspecific A. halleri × Arabidopsis lyrata F2 population. ,Our data provide evidence for the implication of one major QTL in Cd hyperaccumulation in A. halleri, and suggests that Cd tolerance and accumulation are not independent in A. halleri. Moreover, the major loci responsible for Zn hyperaccumulation in the absence of Cd appear to be the same when Cd is present at high concentrations. ,More than twofold higher Fe concentrations were measured in A. halleri shoots than in A. lyrata, suggesting a different regulation of Fe accumulation in the hyperaccumulator. ,With the exception of Ca, the accumulation of Cd was significantly correlated with the accumulation of all elements measured in the F2 progeny, suggesting pleiotropic gene action. However, QTL analysis identified pleiotropic QTLs only for Cd, Zn and Fe. Mg accumulation was negatively correlated with Cd accumulation, as well as with dry shoot biomass, suggesting that it might indicate cellular damage. [source]


Inheritance of song and stridulatory peg number divergence between Chorthippus brunneus and C. jacobsi, two naturally hybridizing grasshopper species (Orthoptera: Acrididae)

JOURNAL OF EVOLUTIONARY BIOLOGY, Issue 3 2005
C. I. SALDAMANDO
Abstract Knowledge of the genetic basis of divergence in mating signal characters that contribute to reproductive isolation is critical to understanding speciation. Here, we describe a semi-automated system for characterizing grasshopper acoustic signals. We used this system to study the genetic basis of divergence in three male calling song components [echeme (EL), syllable (SL) and phrase (PL) lengths] between Chorthippus brunneus and C. jacobsi, two species of grasshoppers that hybridize in northern Spain. We also studied the number of pegs in the stridulatory file. For all characters, additive effects accounted for most of the genetic differentiation between species. However, the three song components also showed small but significant epistatic effects. No sex linkage was detected. Wright,Castle,Lande estimates of the minimum numbers of genetic factors underlying song and peg number divergence were low: peg number (ne = 5.87 ± 5.84), SL (ne = 2.37 ± 4.79) and PL (ne = 0.87 ± 0.86). On the other hand, EL appeared to be controlled by many genes. These results suggest that divergence in SL and PL might be driven by sexual selection whereas EL might not be under selection. This is consistent with experimental results on female song preference in related species. However, the fact that few factors appear to underlie the differences in peg number is surprising. Peg number is not closely related to song characteristics. It often varies between closely related grasshopper species and it has been assumed to be a neutral character. The biometrical approaches used here tend to underestimate the number of factors influencing a trait but provide valuable background for subsequent quantitative trait loci analyses. [source]


Identifying genetic components controlling fertility in the outcrossing grass species perennial ryegrass (Lolium perenne) by quantitative trait loci analysis and comparative genetics

NEW PHYTOLOGIST, Issue 3 2008
I. P. Armstead
Summary ,,Mutational load and resource allocation factors and their effects on limiting seed set were investigated in ryegrass by comparative mapping genomics and quantitative trait loci (QTL) analysis in two perennial ryegrass (Lolium perenne) mapping families sharing common genetic markers. ,,Quantitative trait loci for seed-set were identified on chromosome (LG) 7 in both families and on LG4 of the F2/WSC family. On LG7, seed-set and heading date QTLs colocalized in both families and cannot be unequivocally resolved. Comparative genomics suggests that the LG7 region is syntenous to a region of rice LG6 which contains both fertility (S5n) and heading date (Hd1, Hd3a) candidate genes. The LG4 region is syntenous to a region of rice LG3 which contains a fertility (S33) candidate gene. QTL maxima for seed-set and heading date on LG4 in the F2/WSC family are separated by c. 8 cm, indicating distinct genetic control. ,,Low seed set is under the control of recessive genes at both LG4 and LG7 locations. ,,The identification of QTLs associated with seed set, a major component of seed yield in perennial ryegrass, indicates that mutational load associated with these genomic regions can be mitigated through marker-assisted selection. [source]


Human alcoholism studies of genes identified through mouse quantitative trait locus analysis

ADDICTION BIOLOGY, Issue 4 2002
Marissa A. Ehringer
Coding region DNA sequence variants have been recently identified in several QTL candidate genes in a mouse model of differential sensitivity to alcohol [inbred long-sleep (ILS) and inbred short-sleep (ISS)]. This work has been extended into a human population characterized for their initial level of response to alcohol (LR). The coding region of one of the most promising of these candidate genes, zinc finger 133 (Znf133), has been sequenced completely in 50 individuals who participated in alcohol challenges at approximately age 20 and have been followed subsequently for the last 15 years. PCR products were obtained for the protein coding region of ZNF133 using human genomic DNA and directly sequenced using automated sequencers. Novel single nucleotide polymorphisms (SNPs) were detected by analyzing the sequence data using a suite of bioinformatics programs including Consed, Phred, Phrap and Polyphred. Five human SNPs were detected, two that correspond to amino acid changes in the protein, two that are silent DNA changes and one located in an intron. In this small sample, no significant association between any of the SNPs and alcohol diagnosis was detected. A follow-up of these SNPs in a larger sample should allow a more definitive conclusion to be reached. Significantly, the data presented here demonstrate the feasibility of directly testing genes in human alcoholic populations that had been identified first by comparative DNA sequencing of candidate genes located within mouse alcohol-related QTLs, even without detailed knowledge of the gene's function. [source]


Genetic basis for the psychostimulant effects of nicotine: a quantitative trait locus analysis in AcB/BcA recombinant congenic mice

GENES, BRAIN AND BEHAVIOR, Issue 7 2005
K. J. Gill
Genetic differences in sensitivity to nicotine have been reported in both animals and humans. The present study utilized a novel methodology to map genes involved in regulating both the psychostimulant and depressant effects of nicotine in the AcB/BcA recombinant congenic strains (RCS) of mice. Locomotor activity was measured in a computerized open-field apparatus following subcutaneous administration of saline (days 1 and 2) or nicotine on day 3. The phenotypic measures obtained from this experimental design included total basal locomotor activity, as well as total nicotine activity, nicotine difference scores, nicotine percent change and nicotine regression residual scores. The results indicated that the C57BL/6J (B6) were insensitive to nicotine over the entire dose,response curve (0.1, 0.2, 0.4 and 0.8 mg/kg). However, the 0.8-mg/kg dose of nicotine produced a significant decrease in the locomotor activity in the A/J strain and a wide and continuous range of both locomotor excitation and depression among the AcB/BcA RCS. Single-locus association analysis in the AcB RCS identified quantitative trait loci (QTL) for the psychostimulant effects of nicotine on chromosomes 11, 12, 13, 14 and 17 and one QTL for nicotine-induced depression on chromosome 11. In the BcA RCS, nicotine-induced locomotor activation was associated with seven putative regions on chromosomes 2, 7, 8, 13, 14, 16 and 17. There were no overlapping QTL and no genetic correlations between saline- and nicotine-related phenotypes in the AcB/BcA RCS. A number of putative candidate genes were in proximity to regions identified with nicotine sensitivity, including the ,2 subunit of the nicotinic acetylcholine receptor and the dopamine D3 receptor. [source]