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PubMed2006

Linkage mapping of gene-associated SNPs to pig chromosome 11.

Single nucleotide polymorphisms (SNPs) were discovered in porcine expressed sequence tags (ESTs) orthologous to genes from human chromosome 13 (HSA13) and predicted to be located on pig chromosome 11 (SSC11). The SNPs were identified as sequence variants in clusters of EST sequences from pig cDNA libraries constructed in the Sino-Danish pig genome project. In total, 312 human gene sequences from HSA13 were used for similarity searches in our pig EST database. Pig ESTs showing significant similarity with HSA13 genes were clustered and candidate SNPs were identified. Allele frequencies for 26 SNPs were estimated in a group of 80 unrelated pigs from Danish commercial pig breeds: Duroc, Hampshire, Landrace and Large White. Eighteen of the 26 SNPs genotyped in the PiGMaP Reference Families were mapped by linkage analysis to SSC11. The EST-based SNPs published here are new genetic markers useful for linkage and association studies in commercial and experimental pig populations. This study represents the first gene-associated SNP linkage map of pig chromosome 11 and adds new comparative mapping information between SSC11 and HSA13. Furthermore, our data facilitate future studies aimed at the identification of interesting regions on pig chromosome 11, positional cloning and fine mapping of quantitative trait loci in pig.

Animals↗
PubMed1995

Two-dimensional DNA typing as a genetic marker system in humans.

By two-dimensional (2-D) DNA typing several hundred genomic loci can be analysed simultaneously in a two-dimensional pattern as spots detected by micro- or minisatellite core probes. Many of these loci display DNA sequence polymorphisms, and we have examined whether it is possible to extract genetic information from the rather complex but potentially very informative 2-D DNA typing patterns. To do so, the segregation of 9 spots detected by the microsatellite core probe (CAC)n was followed in a large CEPH pedigree, and by linkage analysis it was possible to obtain chromosomal assignments of the corresponding (CAC)n loci in all cases except one. Furthermore, a regional, physical localization of these loci emerged from analysis of the existing genetic and physical localization data of DNA markers flanking the (CAC)n loci. We have hereby obtained evidence that the spots detected by the microsatellite core probe (CAC)n segregate in a Mendelian manner and that it is possible to reliably score the segregation of single spots within a family. These results indicate that the large amount of potential information inherent in 2-D DNA typing may be used as a genetic marker system; an important prerequisite for its application as a genome scanning method, e.g. in detection of genomic alterations in cancer and in mapping of genetic traits.

Chromosome Mapping↗
PubMed2004

A large-sample QTL study in mice: II. Body composition.

Using lines of mice having undergone long-term selection for high and low growth, a large-sample (n = approximately 1,000 F2) experiment was conducted to gain further understanding of the genetic architecture of complex polygenic traits. Composite interval mapping on data from male F2 mice (n = 552) detected 50 QTL on 15 chromosomes impacting weights of various organ and adipose subcomponents of growth, including heart, liver, kidney, spleen, testis, and subcutaneous and epididymal fat depots. Nearly all aggregate growth QTL could be interpreted in terms of the organ and fat subcomponents measured. More than 25% of QTL detected map to MMU2, accentuating the relevance of this chromosome to growth and fatness in the context of this cross. Regions of MMU7, 15, and 17 also emerged as important obesity "hot-spots." Average degrees of directional dominance are close to additivity, matching expectations for body composition traits. A strong QTL congruency is evident among heart, liver, kidney, and spleen weights. Liver and testis are organs whose genetic architectures are, respectively, most and least aligned with that for aggregate body weight. In this study, growth and body weight are interpreted in terms of organ subcomponents underlying the macro aggregate traits, and anchored on the corresponding genomic locations.

Animals↗
PubMed2006

QTL analysis of behavioral and morphological differentiation between wild and laboratory zebrafish (Danio rerio).

The zebrafish is an important model organism for neuro-anatomy and developmental genetics. It also offers opportunities for investigating the functional and evolutionary genetics of behaviour but these have yet to be exploited. The ecology of anti-predator behaviour has been widely studied in fish and has been shown to vary among populations and between wild and domesticated (laboratory) fish. Here, we utilise the strong behavioural differences present between a wild-derived strain of fish from Bangladesh and the laboratory strain AB. In total, 184 F2 fish were generated and tested for shoaling tendency and willingness to approach an unfamiliar object ('boldness'). Our results indicate the existence of QTL for boldness on chromosomes 9 and 16 and suggest another genomic region that influences anti-predator behaviour on chromosome 21. QTL for growth rate, weight and fat content, all of which are elevated in laboratory fish, were detected on chromosome 23. These initial results confirm the potential for QTL mapping of behavioural traits in zebrafish and also for dissecting the consequences of selection during domestication.

Animals↗
PubMed2001

Association mapping: where we've been, where we're going.

This paper provides a review of recent work in the area of marker-phenotype association studies, specifically as used for localizing--or mapping--genes affecting a trait of interest. We describe the basis of association mapping and discuss a number of the commonly used techniques. We have also included references to various papers that have evaluated the use of these methods.

Analysis of Variance↗
PubMed2004

QTL mapping of anthracnose ( Colletotrichum spp.) resistance in a cross between Capsicum annuum and C. chinense.

Anthracnose fruit rot is an economically important disease that affects pepper production in Indonesia. Strong resistance to two causal pathogens, Colletotrichum gloeosporioides and C. capsici, was found in an accession of Capsicum chinense. The inheritance of this resistance was studied in an F(2) population derived from a cross of this accession with an Indonesian hot pepper variety ( Capsicum annuum) using a quantitative trait locus (QTL) mapping approach. In laboratory tests where ripe fruits were artificially inoculated with either C. gloeosporioides or C. capsici, three resistance-related traits were scored: the infection frequency, the true lesion diameter (averaged over all lesions that actually developed), and the overall lesion diameter (averaged over all inoculation points, including those that did not develop lesions). One main QTL was identified with highly significant and large effects on all three traits after inoculation with C. gloeosporioides and on true lesion diameter after inoculation with C. capsici. Three other QTL with smaller effects were found for overall lesion diameter and true lesion diameter after inoculation with C. gloeosporioides, two of which also had an effect on infection frequency. Interestingly, the resistant parent carried a susceptible allele for a QTL for all three traits that was closely linked to the main QTL. The results with C. capsici were based on less observations and therefore less informative. Although the main QTL was shown to have an effect on true lesion diameter after inoculation with C. capsici, no significant QTL were identified for overall lesion diameter or infection frequency.

Ascomycota↗
PubMed1999

Quantitative trait locus detection using combined linkage/disequilibrium analysis.

We describe an extension of the variance component linkage method that augments identity-by-descent information from relatives with identity-by-state information from unrelated individuals, exploiting disequilibrium to facilitate fine mapping of quantitative trait loci. An advantage of the combined linkage/disequilibrium test is that it detects association only in the presence of linkage and is not biased by population stratification.

Alcoholism↗
PubMed2006

Improving the power of association tests for quantitative traits in family studies.

Association mapping based on family studies can identify genes that influence complex human traits while providing protection against population stratification. Because no gene is likely to have a very large effect on a complex trait, most family studies have limited power. Among the commonly used family-based tests of association for quantitative traits, the quantitative transmission-disequilibrium tests (QTDT) based on the variance-components model is the most flexible and most powerful. This method assumes that the trait values are normally distributed. Departures from normality can inflate the type I error and reduce the power. Although the family-based association tests (FBAT) and pedigree disequilibrium tests (PDT) do not require normal traits, nonnormality can also result in loss of power. In many cases, approximate normality can be achieved by transforming the trait values. However, the true transformation is unknown, and incorrect transformations may compromise the type I error and power. We propose a novel class of association tests for arbitrarily distributed quantitative traits by allowing the true transformation function to be completely unspecified and empirically estimated from the data. Extensive simulation studies showed that the new methods provide accurate control of the type I error and can be substantially more powerful than the existing methods. We applied the new methods to the Collaborative Study on the Genetics of Alcoholism and discovered significant association of single nucleotide polymorphisms (SNP) tsc0022400 on chromosome 7 with the quantitative electrophysiological phenotype TTTH1, which was not detected by any existing methods. We have implemented the new methods in a freely available computer program.

Alcoholism↗
PubMed1996

Finding genetic markers for complex phenotypic traits in parasites.

The identification, mapping and eventual cloning of genes which determine or influence important epidemiological traits in parasites can have great benefits for the control of parasitic disease. In this review, strategies are outlined for identifying genetic markers for complex, quantitative traits. A genetic marker is a variable DNA sequence which co-occurs with a variable quantitative trait. Candidate markers are chosen because they are thought to directly influence the trait whereas random markers are expected to be linked to another DNA sequence which influences the trait. Association studies compare the value of a quantitative trait between different marker genotype classes in a population, without regard to family structure. Linkage studies compare the value of a quantitative trait between marker genotype classes within families or within a population (usually derived from a cross between inbred lines) which is segregating for both marker and quantitative trait loci. The most commonly used analytical methods for determining the significance of association or linkage between marker and quantitative trait loci, and for estimating parameters such as recombination rate and quantitative gene action, are least-squares and maximum likelihood. Both methods may be used to test either single markers or the interval between flanking markers, and both suffer from the need to minimize type I and type II error rates with multiple tests.

Animals↗
PubMed2006

Positional cloning of Sorcs1, a type 2 diabetes quantitative trait locus.

We previously mapped the type 2 diabetes mellitus-2 locus (T2dm2), which affects fasting insulin levels, to distal chromosome 19 in a leptin-deficient obese F2 intercross derived from C57BL/6 (B6) and BTBR T+ tf/J (BTBR) mice. Introgression of a 7-Mb segment of the B6 chromosome 19 into the BTBR background (strain 1339A) replicated the reduced insulin linked to T2dm2. The 1339A mice have markedly impaired insulin secretion in vivo and disrupted islet morphology. We used subcongenic strains derived from 1339A to localize the T2dm2 quantitative trait locus (QTL) to a 242-kb segment comprising the promoter, first exon and most of the first intron of the Sorcs1 gene. This was the only gene in the 1339A strain for which we detected amino acid substitutions and expression level differences between mice carrying B6 and BTBR alleles of this insert, thereby identifying variation within the Sorcs1 gene as underlying the phenotype associated with the T2dm2 locus. SorCS1 binds platelet-derived growth factor, a growth factor crucial for pericyte recruitment to the microvasculature, and may thus have a role in expanding or maintaining the islet vasculature. Our identification of the Sorcs1 gene provides insight into the pathway underlying the pathophysiology of obesity-induced type 2 diabetes mellitus.

Animals↗
PubMed2006

Prediction of IBD based on population history for fine gene mapping.

A novel multiple regression method (RM) is developed to predict identity-by-descent probabilities at a locus L (IBDL), among individuals without pedigree, given information on surrounding markers and population history. These IBDL probabilities are a function of the increase in linkage disequilibrium (LD) generated by drift in a homogeneous population over generations. Three parameters are sufficient to describe population history: effective population size (Ne), number of generations since foundation (T), and marker allele frequencies among founders (p). IBDL are used in a simulation study to map a quantitative trait locus (QTL) via variance component estimation. RM is compared to a coalescent method (CM) in terms of power and robustness of QTL detection. Differences between RM and CM are small but significant. For example, RM is more powerful than CM in dioecious populations, but not in monoecious populations. Moreover, RM is more robust than CM when marker phases are unknown or when there is complete LD among founders or Ne is wrong, and less robust when p is wrong. CM utilises all marker haplotype information, whereas RM utilises information contained in each individual marker and all possible marker pairs but not in higher order interactions. RM consists of a family of models encompassing four different population structures, and two ways of using marker information, which contrasts with the single model that must cater for all possible evolutionary scenarios in CM.

Alleles↗
PubMed2006

A quantitative trait locus on chromosome 6 regulates the onset of puberty in mice.

Puberty is a fundamental developmental process experienced by all reproductively competent adults, yet the specific factors that regulate variation in its timing remain elusive. Using a new approach to identifying these factors, we have performed a survey among a panel of chromosome substitution strains (for inbred strains C57BL/6J and A/J) followed by linkage analysis to map a quantitative trait locus (QTL) on the distal end of chromosome 6 that regulates pubertal timing (as assessed by vaginal opening) in mice. The location of the QTL was then refined to a region between marker D6MIT59 and the end of the chromosome by generating and phenotyping a panel of 12 congenic strains, each with a unique and overlapping homozygous segment of the A/J chromosome on an otherwise uniform C57BL/6J genomic background. Additional characterization of the QTL indicated that the effects of the responsible gene(s) are gender specific and inherited in a codominant manner without parent-of-origin effects. These findings represent an important advancement toward identification of novel factors that regulate maturation of the hypothalamic-pituitary-gonadal axis and determine the timing of puberty.

Animals↗
PubMed1998

Phylogenetic relationships among the microgastroid wasps (Hymenoptera: braconidae): combined analysis of 16S and 28S rDNA genes and morphological data.

Relationships among the microgastroid complex of braconid wasps were investigated using sequence data from the 16S mitochondrial rDNA and 28S (D2 expansion region) nuclear rDNA genes, as well as morphological data. Parsimony analysis of these gene fragments, both separately and combined, indicated that Neoneurus (Neoneurinae) and Ichneutes (Ichneutinae) were no more closely related to the microgastroids than were a range of helconoid taxa. Combined parsimony analysis of the microgastroids indicated the relationships ((Cardiochilinae + Microgastrinae) + Miracinae) + Cheloninae, with Adeliinae falling inside the Cheloninae. Bootstrap proportions for each of these nodes were greater than 70%. Character reweighting (sensu Farris), using the rescaled consistency index, also recovered these relationships. Mapping of lifestyle traits onto this relatively well supported phylogeny indicated that solitary endoparasitism is ancestral for the microgastroids, with a single origin for egg-larval endoparasitism in the Cheloninae + Adeliinae. Mapping of the radiation of the microgastroids into lepidopteran hosts was less clear, due to the specialized biology of the most basal microgastroid clade, the Cheloninae + Adeliinae. Our data are consistent with attack of concealed lepidopteran hosts as the plesiomorphic lifestyle, at least for the Miracinae + Cardiochilinae + Microgastrinae, with radiation into more exposed hosts in the Cardiochilinae + Microgastrinae.

Animals↗
PubMed2005

Marker-assisted selection to introgress rice QTLs controlling root traits into an Indian upland rice variety.

A marker-assisted back-crossing (MABC) breeding programme was conducted to improve the root morphological traits, and thereby drought tolerance, of the Indian upland rice variety, Kalinga III. This variety, the recurrent parent in the MABC, had not previously been used for quantitative trait locus (QTL) mapping. The donor parent was Azucena, an upland japonica variety from Philippines. Five segments on different chromosomes were targeted for introgression; four segments carried QTLs for improved root morphological traits (root length and thickness) and the fifth carried a recessive QTL for aroma. Some selection was made at non-target regions for recurrent parent alleles. We describe the selection made in three backcross (BC) generations and two further crosses between BC3 lines to pyramid (stack) all five target segments. Pyramids with four root QTLs were obtained in eight generations, completed in 6 years using 3,000 marker assays in a total of 323 lines. Twenty-two near-isogenic lines (NILs) were evaluated for root traits in five field experiments in Bangalore, India. The target segment on chromosome 9 (RM242-RM201) significantly increased root length under both irrigated and drought stress treatments, confirming that this root length QTL from Azucena functions in a novel genetic background. No significant effects on root length were found at the other four targets. Azucena alleles at the locus RM248 (below the target root QTL on chromosome 7) delayed flowering. Selection for the recurrent parent allele at this locus produced early-flowering NILs that were suited for upland environments in eastern India.

Chromosomes, Plant↗
PubMedDate not supplied

Comparison between the three porcine RN genotypes for growth, carcass composition and meat quality traits.

A three-step experimental design has been carried out to add evidence about the existence of the RN gene, with two segregating alleles RN- and rn+, having major effects on meat quality in pigs, to estimate its effects on production traits and to map the RN locus. In the present article, the experimental population and sampling procedures are described and discussed, and effects of the three RN genotypes on growth and carcass traits are presented. The RN genotype had no major effect on growth performance and killing out percentage. Variables pertaining to carcass tissue composition showed that the RN- allele is associated with leaner carcasses (about 1 s.d. effect without dominance for back fat thickness, 0.5 s.d. effect with dominance for weights of joints). Muscle glycolytic potential (GP) was considerably higher in RN- carriers, with a maximum of a 6.85 s.d. effect for the live longissimus muscle GP. Physico-chemical characteristics of meat were also influenced by the RN genotype in a dominant way, ultimate pH differing by about 2 s.d. between homozygous genotypes and meat colour by about 1 s.d. Technological quality was also affected, with a 1 s.d. decrease in technological yield for RN- carriers. The RN genotype had a more limited effect on eating quality. On the whole, the identity between the acid meat condition and the RN- allele effect is clearly demonstrated (higher muscle GP, lower ultimate pH, paler meat and lower protein content), and the unfavourable relationship between GP and carcass lean to fat ratio is confirmed.

Journal Article↗
PubMed2003

QTL mapping reveals a striking coincidence in the positions of genomic regions associated with adaptive variation in body size in parallel clines of Drosophila melanogaster on different continents.

Latitudinal genetic clines in body size are common in many ectotherm species and are attributed to climatic adaptation. Here, we use Quantitative Trait Loci (QTL) mapping to identify genomic regions associated with adaptive variation in body size in natural populations of Drosophila melanogaster from extreme ends of a cline in South America. Our results show that there is a significant association between the positions of QTL with strong effects on wing area in South America and those previously reported in a QTL mapping study of Australian cline end populations (P < 0.05). In both continents, the right arm of the third chromosome is associated with QTL with the strongest effect on wing area. We also show that QTL peaks for wing area and thorax length are associated with the same genomic regions, indicating that the clinal variation in the body size traits may have a similar genetic basis. The consistency of the results found for the South American and Australian cline end populations indicate that the genetic basis of the two clines may be similar and future efforts to identify the genes producing the response to selection should be focused on the genomic regions highlighted by the present work.

Adaptation, Biological↗
PubMed2005

Multipoint linkage mapping using sibpairs: non-parametric estimation of trait effects with quantitative covariates.

Multipoint linkage analysis using sibpair designs remains a common approach to help investigators to narrow chromosomal regions for traits (either qualitative or quantitative) of interest. Despite its popularity, the success of this approach depends heavily on how issues such as genetic heterogeneity, gene-gene, and gene-environment interactions are properly handled. If addressed properly, the likelihood of detecting genetic linkage and of efficiently estimating the location of the trait locus would be enhanced, sometimes drastically. Previously, we have proposed an approach to deal with these issues by modeling the genetic effect of the target trait locus as a function of covariates pertained to the sibpairs. Here the genetic effect is simply the probability that a sibpair shares the same allele at the trait locus from their parents. Such modeling helps to divide the sibpairs into more homogeneous subgroups, which in turn helps to enhance the chance to detect linkage. One limitation of this approach is the need to categorize the covariates so that a small and fixed number of genetic effect parameters are introduced. In this report, we take advantage of the fact that nowadays multiple markers are readily available for genotyping simultaneously. This suggests that one could estimate the dependence of the generic effect on the covariates nonparametrically. We present an iterative procedure to estimate (1) the genetic effect nonparametrically and (2) the location of the trait locus through estimating functions developed by Liang et al. ([2001a] Hum Hered 51:67-76). We apply this new method to the linkage study of schizophrenia to illustrate how the onset ages of each sibpair may help to address the issue of genetic heterogeneity. This analysis sheds new light on the dependence of the trait effect on onset ages from affected sibpairs, an observation not revealed previously. In addition, we have carried out some simulation work, which suggests that this method provides accurate inference for estimating the location of quantitative trait loci.

Algorithms↗
PubMed2005

Molecular analysis of the high stearic acid content in sunflower mutant CAS-14.

Increasing the stearic acid content to improve sunflower (Helianthus annuus L.) oil quality is a desirable breeding objective for food-processing applications. CAS-14 is a sunflower mutant line with a high stearic acid content in its seed oil (>35% vs. <6% in currently grown sunflower hybrids), which is controlled by the Es3 gene. However, the expression of the high stearic acid character in CAS-14 is strongly influenced by temperature during seed maturation and it is not uniform along the seed. The objectives of this study were (1) to identify PCR-based molecular markers linked to the Es3 gene from CAS-14, (2) to map this gene on the sunflower genetic map, and (3) to characterize the interaction between CAS-14 and CAS-3, a sunflower high stearic acid (about 26%) mutant line with the Es1 and Es2 genes determining this trait. Two F2 mapping populations were developed from crosses between CAS-14 and P21, a nuclear male sterile line with the Ms11 gene controlling this character, and between CAS-14 and CAS-3. One hundred and thirty-three individuals from P21xCAS-14, and 164 individuals from CAS-3xCAS-14 were phenotyped in F2 and F3 seed generations for fatty acid composition using gas-liquid chromatography, and they were then genotyped with microsatellite [simple sequence repeat (SSR)] and insertion-deletion (INDEL) markers. Bulk segregant analysis in the P21xCAS-14 population identified two markers on LG 8 putatively linked to Es3. A large linkage group was identified using additional markers mapping to LG 8. Es3 mapped to the distal half of LG 8 and was flanked by the SSR markers ORS243 and ORS1161 at genetic distances of 0.5, and 3.9 cM, respectively. The Ms11 gene was also mapped to LG 8 and genetic distance between this gene and Es3 was found to be 7.4 cM. In the CAS-3xCAS-14 population, two QTLs were identified on LG 1 and LG 8, which underlie the Es1 gene from CAS-3 and the Es3 gene from CAS-14, respectively. A significant epistatic interaction between these two QTLs was found. Results from this study provided a basis for determining CAS-14 efficient breeding strategies.

Breeding↗