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At least 127 records · Page 7Linked to original sources
PubMed2006

QTL mapping of seed coat color for yellow seeded Brassica napus.

The development of yellow-seeded varieties of Brassica napus for improving the oilseed quality characteristics of lower fiber content and higher protein and oil content has been a major focus of breeding researches worldwide in recent years. With the black-seeded 'Youyan 2' as male and the yellow-seeded GH06 as female parents respectively, F2 population of 132 individuals were obtained. A linkage map was constructed with 164 markers including 125 AFLP, 37 SSR, 1 RAPD and 1 SCAR markers distributed over 19 linkage groups covering approximately 2 549.8 cM with an average spacing of 15.55 cM. Two loci located on the 5th and 19th group were detected for the trait of seed coat color based on the linkage group using multiple interval mapping method and explained 46% and 30.9% of the phenotypic variation, respectively.

Amplified Fragment Length Polymorphism Analysis↗
PubMedDate not supplied

Statistical methods for QTL mapping in cereals.

This paper gives an overview of the statistical theory suitable for mapping quantitative trait loci in experimental populations derived from inbred parents, with a particular emphasis on methodology for cereal crops. The basic theory is described, and some new areas of statistical research appropriate for mapping in cereal crops are discussed.

Chromosome Mapping↗
PubMed2004

Copulas in QTL mapping.

The standard variance components method for mapping quantitative trait loci is derived on the assumption of normality. Unsurprisingly, statistical tests based on this method do not perform so well if this assumption is not satisfied. We use the statistical concept of copulas to relax the assumption of normality and derive a test that can perform well under any distribution of the continuous trait. In particular, we discuss bivariate normal copulas in the context of sib-pair studies. Our approach is illustrated by a linkage analysis of lipoprotein(a) levels, whose distribution is highly skewed. We demonstrate that the asymptotic critical levels of the test can still be calculated using the interval mapping approach. The new method can be extended to more general pedigrees and multivariate phenotypes in a similar way as the original variance components method.

Analysis of Variance↗
PubMed2002

Optimal selection strategies for QTL mapping using pooled DNA samples.

The cost of large-scale association studies may be reduced substantially by analysis of pooled DNA from multiple individuals. Here we examine the optimal symmetric and asymmetric designs for pooling experiments for quantitative traits under a range of assumptions about the underlying genetic model and the sources of experimental errors in allele frequency estimation. The results indicate that, in the absence of experimental errors and for common alleles with additive effects, a symmetric pooling scheme comparing the top 27% with the bottom 27% of the trait distribution is optimal, extracting 80% the total information available. A symmetric design is not optimal for rare or recessive alleles, which require asymmetric (or other) pooling strategies. Allele frequency measurement errors reduce the optimal pooling fraction as well as the overall efficiency of the pooling design. In contrast, random variation in the amount of DNA contributed by individuals to a pool reduces only the overall efficiency of the pooling design. Our results emphasize the importance of minimising experimental errors and suggest a pooling fraction of around 20%.

Analysis of Variance↗
PubMed2004

A note on the effect of within-strain sample sizes on QTL mapping in recombinant inbred strain studies.

This note explores the effect of within-strain sample sizes on the correlations between a phenotype and a molecular-genetic marker in a battery of inbred strains. It is shown that the maximum correlation possible between a molecular marker and a behavioral or neuronal phenotype equals the additive-genetic correlation. How close the strain correlation will approach the additive-genetic correlation depends only on heritability and within-strain sample sizes. The equations derived can be used to optimize designs of studies attempting to localize Quantitative Trait Loci utilizing Recombinant Inbred Strains, provided information about the heritability of the character under study is available.

Animals↗
PubMed2002

Application of AFLP markers for QTL mapping in the rabbit.

Two rabbit (Oryctolagus cuniculus) inbred strains (AX/JU and IIIVO/JU) have been used for genetic analysis of quantitative traits related to dietary cholesterol susceptibility. Application of the AFLP (amplified fragment length polymorphism) technique with 15 primer combinations revealed 226 polymorphisms between the 2 inbred strains. A total of 57 animals from a backcross progeny (IIIVO/JU x [IIIVO/JU x AX/JU]F1) were available for the genetic analysis. These backcross animals were fed a commercial pelleted diet fortified with 0.3% w/w cholesterol during a test period that lasted five weeks. A male genetic map could be constructed, consisting of 12 linkage groups and 103 AFLP markers. Linkage analysis between the cholesterol-related traits and marker loci revealed a significant LOD score for the relative weight of adrenal glands in males (LOD score = 3.83), whereas suggestive linkages were found for basal serum total cholesterol levels in females (LOD score = 2.69), for serum total cholesterol response (area under the curve) in males (LOD score = 2.21), and for hematocrit in males (LOD score = 3.24).

Adrenal Glands↗
PubMed2003

Genetics of drought tolerance during seed germination in tomato: inheritance and QTL mapping.

A BC1 population (N = 1000) of an F1 hybrid between a stress-sensitive Lycopersicon esculentum breeding line (NC84173; maternal and recurrent parent) and a germination stress-tolerant Lycopersicon pimpinellifolium accession (LA722) was evaluated for seed germination rate under drought stress (DS) (14% w/v polyethyleneglycol-8000, water potential approximately -680 kPa), and the most rapidly germinating seeds (first 3% to germinate) were selected. The 30 selected BC1 seedlings were grown to maturity and self pollinated to produce BC1S1 progeny seeds. Twenty of the 30 selected BC1S1 progeny families were evaluated for germination rate under DS and their average performance was compared with that of a "nonselected" BC1S1 population of the same cross. Results indicated that selection for rapid germination under DS significantly improved progeny germination rate under DS (selection gain = 19.6%), suggesting a realized heritability of 0.47 for rate of germination under DS in this population. The 30 selected BC1 plants were subjected to restriction fragment length polymorphism (RFLP) analysis, and marker allele frequencies for 119 RFLP markers which spanned 1153 cM of the 12 tomato chromosomes were determined. A distributional extreme marker analysis, which measures statistical differences in marker allele frequencies between a selected and a nonselected population, detected four quantitative trait loci (QTLs) for rate of germination under DS in this population. Of these, two QTLs, located on chromosomes 1 and 9, were contributed by the L. pimpinellifolium donor parent and had larger effects than the other two QTLs, located on chromosomes 8 and 12, which were contributed by the L. esculentum recurrent parent. A few BC1S1 families were identified with all or most of the identified QTLs and with germination rates comparable with that of LA722. These families should be useful for the development of germination drought-tolerant tomato lines using marker-assisted selection (MAS). The overall results indicate that drought tolerance during seed germination in tomato is genetically controlled and potentially could be improved by directional phenotypic selection or MAS.

Chromosome Mapping↗
PubMed2005

QTL mapping of BNYVV resistance from the WB41 source in sugar beet.

The most important rhizomania-resistance gene in sugar beet is the Rz1 gene from the Holly Sugar Company in California, the source widely used to breed partially resistant varieties. Other important gene sources are WB41 and WB42, which both originate from Beta vulgaris subsp. maritima collected in Denmark, and which have been reported to be similar. The major resistance gene in WB42 is known as Rz2. We studied the resistance in WB41 and used markers to map the major resistance gene in this source, which we call Rz3. It was identified on chromosome III. This is the chromosome that Rz1 and Rz2 have been mapped to. Data from greenhouse tests and ELISA showed that Rz3 had incomplete penetrance, with heterozygotes varying widely in resistance levels. The involvement of additional minor genes in the strong resistance of the original WB41 source cannot be excluded.

Beta vulgaris↗
PubMed2004

QTL mapping of economically important traits in silkworm (Bombyx mori).

A backcrossed population (BC1) was derived from a cross between C100 and Dazao. AFLP technique was employed for mapping the QTLs. The QTLs for the whole cocoon weight, cocoon shell weight, ratio of cocoon shell, weight of pupae etc. were analyzed and 11 QTLs were detected based on the constructed linkage map. Two QTLs for whole cocoon weight were localized on linkage group 6 and 19; three QTLs for cocoon shell weight were localized on linkage group 3, 14 and 19; three QTLs for ratio of cocoon shell were localized on the linkage group 2, 11 and 15, and three QTLs for the weight of pupae were localized on linkage 2, 14 and 19. All these have laid an important base for the marker assisted breeding of the silkworm.

Animals↗
PubMedDate not supplied

Review of statistical methods for QTL mapping in experimental crosses.

Identification of quantitative trait loci (QTLs) in experimental animals is critical for understanding the biochemical bases of complex traits, and thus for the identification of drug targets. The author reviews the basic statistical methods for mapping QTLs in experimental crosses and comments on a number of the statistical issues to consider in the application of these methods.

Animals↗
PubMedDate not supplied

Mapping multiple QTL using linkage disequilibrium and linkage analysis information and multitrait data.

A multi-locus QTL mapping method is presented, which combines linkage and linkage disequilibrium (LD) information and uses multitrait data. The method assumed a putative QTL at the midpoint of each marker bracket. Whether the putative QTL had an effect or not was sampled using Markov chain Monte Carlo (MCMC) methods. The method was tested in dairy cattle data on chromosome 14 where the DGAT1 gene was known to be segregating. The DGAT1 gene was mapped to a region of 0.04 cM, and the effects of the gene were accurately estimated. The fitting of multiple QTL gave a much sharper indication of the QTL position than a single QTL model using multitrait data, probably because the multi-locus QTL mapping reduced the carry over effect of the large DGAT1 gene to adjacent putative QTL positions. This suggests that the method could detect secondary QTL that would, in single point analyses, remain hidden under the broad peak of the dominant QTL. However, no indications for a second QTL affecting dairy traits were found on chromosome 14.

Acyltransferases↗
PubMed2004

[Identification and analysis of a novel microsatellite marker flanking porcine myostatin gene (MSTN)].

In animal breeding, microsatellite marker plays an important role in constructing genetic maps, QTL mapping and function analysis of structural genes. Myostatin, also known as GDF8, is a negative regulator of skeletal muscle mass and, in swine, it is evidenced to be related to birth weight and average daily gain from 60 kg to 100 kg of body weight. In present study, by subcloning and sequencing,we identified a novel microsatellite marker which is useful for fine QTL mapping for meat traits. A BAC clone containing porcine MSTN was extracted and digested with EcoR I to recover the fragment of > 4 kb for subcloning in pGEM-3zf (+). Sequencing and alignment results showed that this subcloned fragment was not from porcine MSTN, but included a tandem repeat of (TG) 13, which is a novel microsatellite marker (GenBank accession number: AF454400) flanking MSTN. To exclude its vector origin we designed specific primers flanking this marker and successfully amplified this fragment from porcine genome. Through a pedigree analysis of a double-muscled Yorshire strain, we found that it is inherited in a co-dominant manner. We also checked the gene frequencies of this locus in 381 unrelated individuals of 7 pig breeds, namely Laiwu,Landrace, Yorkshire,Duroc, Peterian, Min and Erhualian. Only two alleles were detected, the repeating number of which are 13 (allele A) and 19 (allele B) respectively, which indicated that it is a low poly morphic microsatellite marker. In addition, the frequencies of the two alleles are different between the two types of pig breeds, while allele A is dominant in Chinese local breeds, allele B is dominant in imported breeds. Alignment with AY208121 indicate that this locus is located 42 kb downstream of porcine MSTN. We speculate that this microsatellite DNA is an important marker both in fine QTL mapping for meat traits and in the expression study of porcine MSTN.

Animals↗
PubMed2001

A dominant modifier of transgene methylation is mapped by QTL analysis to mouse chromosome 13.

The single-copy hepatitis B virus transgene in the E36 transgenic mouse strain undergoes methylation changes in a parent-of-origin, tissue, and strain-specific fashion. In a C57BL/6 background, the paternally transmitted transgene is methylated in 30% of cells, whereas it is methylated in more than 80% of cells in (BALB/c x C57BL/6) F1 mice. We established previously that several genetic factors were likely to contribute to the transgene methylation profile, some with demethylating and some with de novo methylating activities. Using quantitative trait loci (QTL) mapping, we have now localized one major modifier locus on chromosome 13 (Mod13), which explains a 30% increase in the methylation level of this transgene with no effect on the flanking endogenous sequences. No other QTL could be identified, except for a demethylating activity of low significance located on chromosome 12. Recombinant inbred mice containing a BALB/c allele of Mod13 were then used to show that the presence of Mod13 is sufficient to induce de novo methylation. A segregation between de novo methylation and repression of transgene expression was uncovered, suggesting that this genetic system is also useful for the identification of factors that interpret methylation patterns in the genome.

Animals↗
PubMed2006

Mapping diabetes QTL in an intercross derived from a congenic strain of the Brown Norway and Goto-Kakizaki rats.

Genetic studies in experimental crosses derived from the inbred Goto-Kakizaki (GK) rat model of spontaneous diabetes mellitus have identified quantitative trait loci (QTL) for diabetes phenotypes in a large region of rat Chromosome (RNO) 1. To test the impact of GK variants on QTL statistical and biological features, we combined genetic and physiologic studies in a cohort of F(2) hybrids derived from a QTL substitution congenic strain (QTLSCS) carrying a 110-cM GK haplotype of RNO1 introgressed onto the genetic background of the Brown Norway (BN) strain. Glucose intolerance and altered insulin secretion in QTLSCS rats when compared with BN controls were consistent with original QTL features in a GK x BN F(2) cross. Segregating GK alleles in the QTLSCS F(2) cross account for most of these phenotypic differences between QTLSCS and BN rats. However, significant QTL for diabetes traits in both the QTLSCS and GK x BN F(2) cohorts account for a similar small proportion of their variance. Comparing results from these experimental systems provides indirect estimates of the contribution of genetic interactions and environmental factors to QTL architecture as well as locus and biological targets for future post-QTL mapping studies in congenic substrains.

Animals↗
PubMed2004

[Maximum likelihood analysis for mapping dynamic trait QTL in outbred population II. Simulation].

Based on the maximum likelihood analysis principle for dynamic trait QTL mapping, selecting three orders Legendre polynomial as sub-model,the effects of the individual number, the frequency of test day,the marker density and heritability on detecting power are investigated by Monte-Carlo simulation. Each factor is divided into three levels such as the high,middle and low,the combinations of which are arranged by using orthologal design. The simulating result shows that the high heritability needs less number of individuals and frequency of test day than the low one, but the number of individuals of more than 300 and the frequency of test day of 5% above can guarantee sufficient detecting power no matter what the heritability is like. The number of individuals has almost the same effect as the frequency of test day in dynamic traits QTL mapping and the number of individuals and the frequency of test day compensate each other under the same size of samples. As to the QTL detection for a dynamic point,simulation indicates that the presented dynamic trait QTL mapping method that focuses on the whole dynamic process is significantly superior to the classical mapping methods on each individual dynamic point.

Humans↗
PubMed1994

Genetic studies in alcohol research.

The National Institute on Alcohol Abuse and Alcoholism (NIAAA) supports research to elucidate the specific genetic factors, now largely unknown, which underlie susceptibility to alcoholism and its medical complications (including fetal alcohol syndrome). Because of the genetic complexity and heterogeneity of alcoholism, identification of the multiple underlying factors will require the development of new study designs and methods of analysis of data from human families. While techniques of genetic analysis of animal behavioral traits (e.g., targeted gene disruption, quantitative trait locus (QTL) mapping) are more powerful than those applicable to humans (e.g., linkage and allelic association studies), the validation of animal behaviors as models of aspects of human alcoholism has been problematic. Newly developed methods for mapping QTL influencing animal behavioral traits can not only permit analyses of human family data to be directly informed by the results of animal studies, but can also serve as a novel means of validating animal models of aspects of alcoholism.

Alcoholism↗
PubMed2003

Quantitative trait loci analysis of nitrogen use efficiency in Arabidopsis.

Improving plant nitrogen (N) use efficiency or controlling soil N requires a better knowledge of the regulation of plant N metabolism. This could be achieved using Arabidopsis as a model genetic system, taking advantage of the natural variation available among ecotypes. Here, we describe an extensive study of N metabolism variation in the Bay-0 x Shahdara recombinant inbred line population, using quantitative trait locus (QTL) mapping. We mapped QTL for traits such as shoot growth, total N, nitrate, and free-amino acid contents, measured in two contrasting N environments (contrasting nitrate availability in the soil), in controlled conditions. Genetic variation and transgression were observed for all traits, and most of the genetic variation was identified through QTL and QTL x QTL epistatic interactions. The 48 significant QTL represent at least 18 loci that are polymorphic between parents; some may correspond to known genes from the N metabolic pathway, but others represent new genes controlling or interacting with N physiology. The correlations between traits are dissected through QTL colocalizations: The identification of the individual factors contributing to the regulation of different traits sheds new light on the relations among these characters. We also point out that the regulation of our traits is mostly specific to the N environment (N availability). Finally, we describe four interesting loci at which positional cloning is feasible.

Amino Acids↗