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Multitrait fine mapping of quantitative trait loci using combined linkage disequilibria and linkage analysis.

A novel multitrait fine-mapping method is presented. The method is implemented by a model that treats QTL effects as random variables. The covariance matrix of allelic effects is proportional to the IBD matrix, where each element is the probability that a pair of alleles is identical by descent, given marker information and QTL position. These probabilities are calculated on the basis of similarities of marker haplotypes of individuals of the first generation of genotyped individuals, using "gene dropping" (linkage disequilibrium) and transmission of markers from genotyped parents to genotyped offspring (linkage). A small simulation study based on a granddaughter design was carried out to illustrate that the method provides accurate estimates of QTL position. Results from the simulation also indicate that it is possible to distinguish between a model postulating one pleiotropic QTL affecting two traits vs. one postulating two closely linked loci, each affecting one of the traits.

Chromosome Mapping↗

The potential of Prunus davidiana for introgression into peach [Prunus persica (L.) Batsch] assessed by comparative mapping.

The potential for introgression of Prunus davidiana, a wild species related to peach, was evaluated with respect to problems of non-Mendelian segregation or suppressed recombination which often hamper breeding processes based on interspecific crosses. Three connected (F1, F2 and BC2) populations, derived from a cross between P. davidiana clone P1908 and the peach cultivar Summergrand were used. The intraspecific map of P. davidiana already established using the F1 progeny was complemented, and two interspecific maps, for the F2 and BC2 progenies, were built with a set of markers selected from the Prunus reference map. With the molecular data collected for the F2 map construction, regions with distorted marker segregation were detected on the genome; one third of all loci deviated significantly from the expected Mendelian ratios. However, some of these distorted segregations were probably not due to the interspecific cross. On linkage group 6, a skewed area under gametic selection was most likely influenced by the self-incompatibility gene of P. davidiana. Using anchor loci, a good colinearity between the three maps built and the Prunus reference map was demonstrated. Comparative mapping also revealed that homologous recombination occurred normally between P. davidiana and the Prunus persica genome. This confirmed the closeness of the two species. Higher recombination rates were generally observed between P. davidiana and P. persica than between Prunus amygdalus and P. persica. The consequences for plant breeding strategy are discussed. The three maps of the F1, F2 and BC2 progenies provide useful tools for QTL detection and marker-assisted selection, as well as for assessing the efficiency of the peach breeding scheme applied to introgress P. davidiana genes into peach cultivated varieties.

Breeding↗

Analysis of QTLs for yield, yield components, and malting quality in a BC3-DH population of spring barley.

Advanced backcross (AB)-quantitative trait locus (QTL) analysis has been successfully applied for detecting and transferring QTLs from unadapted germplasm into elite breeding lines in various plant species. Here, we describe the application of a modified AB breeding scheme to spring barley. A BC3-doubled haploid (DH) population consisting of 181 lines derived from the German spring barley cultivar 'Brenda' (Hordeum vulgare subsp. vulgare) as the recurrent parent and the wild species line 'HS213' (H. vulgare subsp. spontaneum) as the donor line was evaluated for yield and its components as well as malting quality traits. A set of 60 microsatellite markers was used to genotype the population, and phenotypic data were collected at two locations in Germany in continuous years. Altogether, 25 significant QTLs were detected by single-marker regression analysis and interval mapping. Most positive QTLs originated from the recurrent parent 'Brenda'. A QTL, Qhd2.1, on chromosome 2HS from 'Brenda' explained 18.3% and 20.7% of the phenotypic variation for yield and heading date, respectively. Due to the small percentage of donor-parent genome of 6.25%, the BC3-DH lines could be directly used for the extraction of near-isogenic lines (NILs) for Qhd2.1. Consequently, it was possible to determine the precise location of the locus hd2.1 within a region of 6.5 cM, using an F2 population consisting of 234 individuals developed from a cross between an NIL containing a defined donor segment at this locus and 'Brenda'. The location of this QTL was consistent with the presence of a major photoperiod response gene, Ppd-H1, previously reported in this region, which is associated with pleiotropic effects on yield components. In summary, the analysis of a BC3-DH population in barley provides a compromise between the analysis of QTLs by means of an AB scheme and the generation of defined substitution lines. Several lines carrying defined different donor segments for only one single chromosome or trait in the genetic background of 'Brenda' could be selected for further genetic studies.

Breeding↗

A genetic attack on the defense complex.

An increasing number of "non-model" organisms are becoming accessible to genetic analysis in the field, as evolutionary biologists develop dense molecular genetic maps. Peichel et al.'s recent study(1) provides a microsatellite-based map for threespine stickleback fish (Gasterosteus aculeatus), and the first evidence for QTL affecting feeding morphology and defensive armor. This species has undergone rapid and parallel morphological and behavioral evolution, and there is now hope that some of the genes responsible for the divergence may soon be identified.

Animals↗

Identification of quantitative trait loci and associated candidate genes for low-temperature tolerance in cold-hardy winter wheat.

Low-temperature (LT) tolerance is an important economic trait in winter wheat (Triticum aestivum L.) that determines the plants' ability to cope with below freezing temperatures. Essential elements of the LT tolerance mechanism are associated with the winter growth habit controlled by the vernalization loci (Vrn-1) on the group 5 chromosomes. To identify genomic regions, which in addition to vrn-1 determine the level of LT tolerance in hexaploid wheat, two doubled haploid (DH) mapping populations were produced using parents with winter growth habit (vrn-A1, vrn-B1, and vrn-D1) but showing different LT tolerance levels. A total of 107 DH lines were analyzed by genetic mapping to produce a consensus map of 2,873 cM. The LT tolerance levels for the Norstar (LT(50)=-20.7 degrees C) x Winter Manitou (LT(50)=-14.3 degrees C) mapping population ranged from -12.0 to -22.0 degrees C. Single marker analysis and interval mapping of phenotyped lines revealed a major quantitative trait locus (QTL) on chromosome 5A and a weaker QTL on chromosome 1D. The 5A QTL located 46 cM proximal to the vrn-A1 locus explained 40% of the LT tolerance variance. Two C-repeat Binding Factor (CBF) genes expressed during cold acclimation in Norstar were located at the peak of the 5A QTL.

Cold Temperature↗

Segregation of QTL for production traits in commercial meat-type chickens.

This study investigated whether quantitative trait loci (QTL) identified in experimental crosses of chickens provide a short cut to the identification of QTL in commercial populations. A commercial population of broilers was targeted for chromosomal regions in which QTL for traits associated with meat production have previously been detected in extreme crosses. A three-generation design, consisting of 15 grandsires, 608 half-sib hens and over 15 000 third-generation offspring, was implemented within the existing breeding scheme of a broiler breeding company. The first two generations were typed for 52 microsatellite markers spanning regions of nine chicken chromosomes and covering a total of 730 cM, approximately one-fifth of the chicken genome. Using half-sib analyses with a multiple QTL model, linkage was studied between these regions and 17 growth and carcass traits. Out of 153 trait x region comparisons, 53 QTL exceeded the threshold for genome-wide significance while an additional 23 QTL were significant at the nominal 1% level. Many of the QTL affect the carcass proportions and feed intake, for which there are few published studies. Given intensive selection for efficient growth in broilers for more than 50 generations it is surprising that many QTL affecting these traits are still segregating. Future fine-mapping efforts could elucidate whether ancestral mutations are still segregating as a result of pleiotropic effects on fitness traits or whether this variation is due to new mutations.

Analysis of Variance↗

Host suppressors in Arabidopsis thaliana of mutations in the movement protein gene of Cauliflower mosaic virus.

A novel genetic screen was used to identify host factors in Arabidopsis thaliana that suppress mutations in the Cauliflower mosaic virus (CaMV) movement protein gene (gene I). A series of small mutations was made in gene I and the mutations were tested for their suitability in a suppressor screen. The first round of screening yielded only revertants or second-site mutations in gene I. A derivative of one of the second-site mutant viruses (N7) that was delayed in symptom production was used in a second round of screening for suppressor plants that accelerated symptom production. Two candidate suppressor plants were found that accelerated by 1 to 4 days the first appearance of symptoms caused by the mutant viruses. One of the suppressors (5-2), called asc1 (acceleration of symptoms by CaMV N7), was mapped to chromosome 1. Two additional loci that differentially affect N7 virus susceptibility in the parental Columbia and Ler ecotypes were mapped to chromosomes 3 and 4 by quantitative trait locus (QTL) analysis.

Arabidopsis↗

EgMYB2, a new transcriptional activator from Eucalyptus xylem, regulates secondary cell wall formation and lignin biosynthesis.

Summary EgMYB2, a member of a new subgroup of the R2R3 MYB family of transcription factors, was cloned from a library consisting of RNA from differentiating Eucalyptus xylem. EgMYB2 maps to a unique locus on the Eucalyptus grandis linkage map and co-localizes with a quantitative trait locus (QTL) for lignin content. Recombinant EgMYB2 protein was able to bind specifically the cis-regulatory regions of the promoters of two lignin biosynthetic genes, cinnamoyl-coenzyme A reductase (CCR) and cinnamyl alcohol dehydrogenase (CAD), which contain MYB consensus binding sites. EgMYB2 was also able to regulate their transcription in both transient and stable expression assays. Transgenic tobacco plants over-expressing EgMYB2 displayed phenotypic changes relative to wild-type plants, among which were a dramatic increase in secondary cell wall thickness, and an alteration of the lignin profiles. Transcript abundance of genes encoding enzymes specific to lignin biosynthesis was increased to varying extents according to the position of individual genes in the pathway, whereas core phenylpropanoid genes were not significantly affected. Together these results suggest a role for EgMYB2 in the co-ordinated control of genes belonging to the monolignol-specific pathway, and therefore in the biosynthesis of lignin and the regulation of secondary cell wall formation.

Amino Acid Sequence↗

The human gene map for performance and health-related fitness phenotypes: the 2005 update.

The current review presents the 2005 update of the human gene map for physical performance and health-related fitness phenotypes. It is based on peer-reviewed papers published by the end of 2005. The genes and markers with evidence of association or linkage with a performance or fitness phenotype in sedentary or active people, in adaptation to acute exercise, or for training-induced changes are positioned on the genetic map of all autosomes and the X chromosome. Negative studies are reviewed, but a gene or locus must be supported by at least one positive study before being inserted on the map. By the end of 2000, in the early version of the gene map, 29 loci were depicted. In contrast, the 2005 human gene map for physical performance and health-related phenotypes includes 165 autosomal gene entries and QTL, plus five others on the X chromosome. Moreover, there are 17 mitochondrial genes in which sequence variants have been shown to influence relevant fitness and performance phenotypes. Thus, the map is growing in complexity. Unfortunately, progress is slow in the field of genetics of fitness and performance, primarily because the number of laboratories and scientists focused on the role of genes and sequence variations in exercise-related traits continues to be quite limited.

Anthropometry↗

[QTLs analysis of tiller angle in rice (Oryza sativa L.)].

Tiller angle is one of important characters that constitute plant type with great significance in breading. A pair of japonica/indica lines, which were significantly different in tiller angle, were used in this study. A DH population were constructed via anther culture of F1 hybrids. The tiller angles of 115 DH lines were measured. QTL analysis was conducted based on the constructed molecular linkage map. Three QTLs (qTA-9a, qTA-9b and qTA-12) were detected on chromosome 9 and 12 respectively, Their variation were 22.7%, 11.9% and 20.9% respectively and their additive effects were all negative, showing this character was controlled by genes from big tiller angle parent ZYQ8. The application of the tiller angle that was controlled by major genes and minor genes in rice breeding is also discussed.

Chromosome Mapping↗

[QTL analysis of sheath blight resistance in rice (Oryza sativa L.)].

In this study, an indica variety Zhai Ye Qing 8 (ZYQ8) and a japonica variety Jing Xi 17(JX17) and their double haploid (DH) population were used. Sheath blight resistance of the DH population and their parents was investigated using a syringe inoculation method. Quantitative trait loci (QTL) analysis was undertaken based on a constructed molecular linkage map of this population in Hangzhou and Hainandao respectively. A total of four sheath blight resistant QTLs (qSBR-2, qSBR-3, qSBR-7 and qSBR-11) were identified, and located on chromosome 2, 3, 7 and 11, respectively. Resistant alleles of qSBR-2, qSBR-3, and qSBR-7 were derived from the resistant parent ZYQ8, whereas resistant allele of qSBR-11 from susceptible parent JX17. qSBR-2, qSBR-3 and qSBR-7 were detected both in Hangzhou and Hainandao, whereas qSBR-11 was detected only in Hangzhou. Sheath blight response was significantly correlated with culm length and heading date in Hangzhou's test. Among the QTLs for culm length and heading date, only qCL-3 for culm length, was in the same chromosome region of qSBR-3, the other QTLs were not linked to the QTLs for sheath blight resistance.

Chromosome Mapping↗

Identification of diabetes susceptibility loci in db mice by combined quantitative trait loci analysis and haplotype mapping.

To identify the disease-susceptibility genes of type 2 diabetes, we performed quantitative trait loci (QTL) analysis in F(2) populations generated from a BKS.Cg-m+/+Lepr(db) and C3H/HeJ intercross, taking advantage of genetically determined obesity and diabetes traits associated with the db gene. A genome-wide scan in the F(2) populations divided by sex and db genotypes identified 14 QTLs in total and 3 major QTLs on chromosome (Chr) 3 (LOD 5.78) for fat pad weight, Chr 15 (LOD 6.64) for body weight, and Chr 16 (LOD 8.15) for blood glucose concentrations. A linear-model-based genome scan using interactive covariates allowed us to consider sex- or sex-by db-specific effects of each locus. For the most significant QTL on Chr 16, the high-resolution haplotype comparison between BKS and C3H strains reduced the critical QTL interval from 20 to 4.6 Mb by excluding shared haplotype regions and identified 11 nonsynonymous single-nucleotide polymorphisms in six candidate genes.

Animals↗

The genetic basis for inflorescence variation between foxtail and green millet (poaceae).

Grass species differ in many aspects of inflorescence architecture, but in most cases the genetic basis of the morphological difference is unknown. To investigate the genes underlying the morphology in one such instance, we undertook a developmental and QTL analysis of inflorescence differences between the cereal grain foxtail millet and its presumed progenitor green millet. Inflorescence differences between these two species are the result of changes in primary branch number and density, spikelet number, and bristle (sterile branchlet) number; these differences also account for inflorescence variation within the clade of 300+ species that share the presence of bristles in the inflorescence. Fourteen replicated QTL were detected for the four inflorescence traits, and these are suggested to represent genes that control differences between the species. Comparative mapping using common markers from rice and maize allowed a number of candidate genes from maize to be localized to QTL regions in the millet genome. Searches of regions of the sequenced rice genome orthologous to QTL regions on foxtail millet identified a number of transcription factors and hormone pathway genes that may be involved in control of inflorescence branching.

Chromosome Mapping↗

Targeted oligonucleotide-mediated microsatellite identification (TOMMI) from large-insert library clones.

BACKGROUND: In the last few years, microsatellites have become the most popular molecular marker system and have intensively been applied in genome mapping, biodiversity and phylogeny studies of livestock. Compared to single nucleotide polymorphism (SNP) as another popular marker system, microsatellites reveal obvious advantages. They are multi-allelic, possibly more polymorphic and cheaper to genotype. Calculations showed that a multi-allelic marker system always has more power to detect Linkage Disequilibrium (LD) than does a di-allelic marker system. Traditional isolation methods using partial genomic libraries are time-consuming and cost-intensive. In order to directly generate microsatellites from large-insert libraries a sequencing approach with repeat-containing oligonucleotides is introduced. RESULTS: Seventeen porcine microsatellite markers were isolated from eleven PAC clones by targeted oligonucleotide-mediated microsatellite identification (TOMMI), an improved efficient and rapid flanking sequence-based approach for the isolation of STS-markers. With the application of TOMMI, an average of 1.55 (CA/GT) microsatellites per PAC clone was identified. The number of alleles, allele size distribution, polymorphism information content (PIC), average heterozygosity (HT), and effective allele number (NE) for the STS-markers were calculated using a sampling of 336 unrelated animals representing fifteen pig breeds (nine European and six Chinese breeds). Sixteen of the microsatellite markers proved to be polymorphic (2 to 22 alleles) in this heterogeneous sampling. Most of the publicly available (porcine) microsatellite amplicons range from approximately 80 bp to 200 bp. Here, we attempted to utilize as much sequence information as possible to develop STS-markers with larger amplicons. Indeed, fourteen of the seventeen STS-marker amplicons have minimal allele sizes of at least 200 bp. Thus, most of the generated STS-markers can easily be integrated into multilocus assays covering a broader separation spectrum. Linkage mapping results of the markers indicate their potential immediate use in QTL studies to further dissect trait associated chromosomal regions. CONCLUSION: The sequencing strategy described in this study provides a targeted, inexpensive and fast method to develop microsatellites from large-insert libraries. It is well suited to generate polymorphic markers for selected chromosomal regions, contigs of overlapping clones and yields sufficient high quality sequence data to develop amplicons greater than 250 bases.

Alleles↗

Chromosomal mapping of the psychomotor stimulant effects of cocaine in BXD recombinant inbred mice.

To elucidate genes associated with cocaine's locomotor stimulant effects, we used recombinant inbred-quantitative trait loci (RI-QTL) analyses to identify chromosomal loci associated with locomotor activity before (baseline) and after cocaine treatment. RI-QTL analyses seek to identify associations between a quantitative measure of a phenotype and one or more previously mapped marker loci across a panel of RI strains. In the present study, 11 BXD RI strains were used to identify several putative QTLs for each phenotype. Both baseline locomotor activity and cocaine's locomotor stimulant effects are polygenic, with both unique and overlapping genetic influences. The largest associations for baseline activity were observed on chromosomes 5 and 9 and the largest associations for cocaine's psychomotor stimulant effects on chromosomes 3 and 17.

Animals↗

Mapping a cave fish genome: polygenic systems and regressive evolution.

We used random amplified polymorphic DNA (RAPD) fingerprinting to generate anonymous DNA markers in the fish Astyanax mexicanus, a species with both surface and cave populations. Surface individuals are eyed and pigmented; troglobitic forms are blind and depigmented. We hybridized surface fish and Pachon population cave fish and produced a RAPD genomic map 1064 cM in length (about half the total length of the genome) that was used to screen for quantitative trait loci (QTL) for troglomorphic traits. Three QTL for reduced eye size, two for decreased numbers of melanophores, two for condition factor, and the locus for the unifactorial trait, albinism, were mapped. These factors account for an average of 46% of the variance in these traits in the backcross. The results are the first direct demonstration that troglomorphic changes in this population are multifactorial. Two closely linked pairs of QTL were found. Each consisted of a regressive and a constructive trait QTL. These close linkages are unlikely to have occurred by chance (P <.05 for each) and suggest that troglomorphic evolution might be facilitated by pleiotropy or by genetic hitchhiking.

Animals↗

Candidate genes and QTLs for sugar and organic acid content in peach [ Prunus persica (L.) Batsch].

The identification of genes involved in variation of peach fruit quality would assist breeders in creating new cultivars with improved fruit quality. Major genes and quantitative trait loci (QTLs) for physical and chemical components of fruit quality have already been detected, based on the peach [ Prunus persica (L.) Batsch] cv. Ferjalou Jalousia((R)) (low-acid peach) x cv. Fantasia (normally-acid nectarine) F(2) intraspecific cross. Our aim was to associate these QTLs to structural genes using a candidate gene/QTL approach. Eighteen cDNAs encoding key proteins in soluble sugar and organic acid metabolic pathways as well as in cell expansion were isolated from peach fruit. A single-strand conformation polymorphism strategy based on specific cDNA-based primers was used to map the corresponding genes. Since no polymorphism could be detected in the Ferjalou Jalousia((R)) x Fantasia population, gene mapping was performed on the almond [ Prunus amygdalus ( P. dulcis)] cv. Texas x peach cv. Earlygold F(2) interspecific cross from which a saturated map was available. Twelve candidate genes were assigned to four linkage groups of the peach genome. In a second step, the previous QTL detection was enhanced by integrating anchor loci between the Ferjalou Jalousia((R)) x Fantasia and Texas x Earlygold maps and data from a third year of trait assessment on the Ferjalou Jalousia((R)) x Fantasia population. Comparative mapping allowed us to detect a candidate gene/QTL co-location. It involved a cDNA encoding a vacuolar H(+)-pyrophosphatase ( PRUpe;Vp2) that energises solute accumulation, and QTLs for sucrose and soluble solid content. This preliminary result may be the first step in the future development of marker-assisted selection for peach fruit sucrose and soluble solid content.

Journal Article↗

Reciprocal congenics defining individual quantitative trait Loci for sedative/hypnotic sensitivity to ethanol.

BACKGROUND: We have identified four major genes or quantitative trait loci (QTLs) that determine duration of loss of righting reflex (LORR), induced by sedative doses of ethanol: Lore1, Lore2, Lore4, and Lore5. Together these genes explain more than 50% of the phenotypic variance for sensitivity to the sedative/hypnotic effects of ethanol between the Inbred Long Sleep (ILS) and Inbred Short Sleep (ISS) strains of mice. The derivation of these strains is reviewed here. METHODS: Each QTL has been bred onto the opposite background (ILS or ISS) through 10 rounds of backcrossing by using QTL-marker-assisted counter selection to produce reciprocal congenic strains. Mice were genotyped for markers that flanked each of the QTLs. Selection for the donor at the desired QTL, and against donor markers at the other four QTLs, allowed rapid fixation of the genetic background. Phenotypic assessment in the ISS-recipient congenic strains was conducted throughout the backcross. RESULTS: By the N5 generation, phenotypic assessments failed to detect significant effects in some sublines; these sublines were discarded and positive lines split to create new replicate sublines. In the N10, all sublines retained the phenotypic difference between heterozygotes and ISS homozygotes; however, the expected additive effect was not found in the Lore1 congenics. On the ILS background, each Lore was captured, as shown by the expected differential LORR. Two strains on the ILS background, and one on the ISS, exhibited the differential effect on blood ethanol concentration associated with the donor strain. CONCLUSIONS: Congenic strains represent an important resource for confirmation of previously identified QTLs, for identification and mapping of additional phenotypes, and for exclusion of candidate genes. QTL-marker-assisted selection rapidly stabilized the genetic background within four generations (based on phenotypic assessments); however, phenotypic selection during the backcrossing to generate congenic strains did not contribute to the successful capture of the ISS QTLs.

Animals↗