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Creation of BAC genomic resources for cocoa ( Theobroma cacao L.) for physical mapping of RGA containing BAC clones.

We have constructed and validated the first cocoa ( Theobroma cacao L.) BAC library, with the aim of developing molecular resources to study the structure and evolution of the genome of this perennial crop. This library contains 36,864 clones with an average insert size of 120 kb, representing approximately ten haploid genome equivalents. It was constructed from the genotype Scavina-6 (Sca-6), a Forastero clone highly resistant to cocoa pathogens and a parent of existing mapping populations. Validation of the BAC library was carried out with a set of 13 genetically-anchored single copy and one duplicated markers. An average of nine BAC clones per probe was identified, giving an initial experimental estimation of the genome coverage represented in the library. Screening of the library with a set of resistance gene analogues (RGAs), previously mapped in cocoa and co-localizing with QTL for resistance to Phytophthora traits, confirmed at the physical level the tight clustering of RGAs in the cocoa genome and provided the first insights into the relationships between genetic and physical distances in the cocoa genome. This library represents an available BAC resource for structural genomic studies or map-based cloning of genes corresponding to important QTLs for agronomic traits such as resistance genes to major cocoa pathogens like Phytophthora spp ( palmivora and megakarya), Crinipellis perniciosa and Moniliophthora roreri.

Cacao↗

Geographical mapping of unmarried teen births and selected sociodemographic variables.

Texas is one of five states in the United States in which teen pregnancies exceed 70 per 1,000 females aged 15 to 17 years. The purpose of this retrospective exploratory study was to analyze and map sociodemographic variables associated with unmarried teen childbirth. It was hypothesized that selected sociodemographic variables would be related to the unmarried teen birthrates. Correlational analysis was employed to ascertain the relationship between the sociodemographic variables and the unmarried teen birthrates for 81 zip codes in Dallas County, Texas. The births occurred between January 1, 1995 and December 31, 1996. Geographic Information System (GIS) software illustrated the spatial distribution of the unmarried teen birthrates in conjunction with sociodemographic variables extracted from the 1990 U.S. Census Bureau. The results indicate that unmarried teen births are positively related to low socioeconomic status, single-parent family households, and minority populations. Mapping supports the quantitative relationships between the variables. Maps can be used to identify communities where teens most vulnerable to unmarried pregnancy and childbirth reside and provide policy makers with explicit information about their constituents so that they can develop and implement population-specific interventions.

Adolescent↗

Chromosome substitution strains: some quantitative considerations for genome scans and fine mapping.

A chromosome substitution strain (CSS) is an inbred strain in which one chromosome has been substituted from a different inbred strain by repeated backcrossing. A complete CSS set has one strain representing each chromosome against a uniform background, thus allowing genome-wide scans to be carried out for quantitative trait loci (QTLs) influencing any trait of interest. A one-way ANOVA by strain is first carried out, followed by planned comparisons using Dunnett's method. A QTL is detected and mapped to a chromosome when a significant difference is observed in a background strain vs CSS comparison. The most efficient ratio of background to CSS mice in any one comparison is 4.5:1, and the threshold for p <.05 genome-wide significance is estimated to be p =.003 to.004, a much less stringent criterion than any other mammalian mapping population. The use of false discovery rates tends to further reduce threshold stringency. Comparisons are made to the widely used conventional F(2) intercross, and both advantages and disadvantages are noted. The proportion of the trait variance due to a QTL is often much larger than the same QTL in an F(2), and the number of generations to attain fine mapping is greatly reduced. To serve as guidelines for planning experiments, methods to estimate sample sizes for QTL detection are presented for the initial genome scan and for subsequent fine mapping.

Analysis of Variance↗

Simple sequence repeat marker associated with a natural leaf defoliation trait in tetraploid cotton.

Cotton (Gossypium hirsutum L.) leaf defoliation has a significant ecological and economical impact on cotton production. Thus the utilization of a natural leaf defoliation trait, which exists in wild diploid cotton species, in the development of tetraploid cultivated cotton will not only be cost effective, but will also facilitate production of very high-grade fiber. The primary goal of our research was to tag loci associated with natural leaf defoliation using microsatellite markers in Upland cotton. The F2 populations developed from reciprocal crosses between the two parental cotton lines--AN-Boyovut-2 (2n = 52), a late leaf defoliating type, and Listopad Beliy (2n = 52), a naturally early leaf defoliating type--demonstrated that the naturally early leaf defoliation trait has heritability values of 0.74 and 0.84 in the reciprocal F2 population. The observed phenotypic segregation difference in reciprocal crosses suggested a minor cytoplasmic effect in the phenotypic expression of the naturally early leaf defoliation trait. Results from the Kruskal-Wallis (KW) nonparametric test revealed that JESPR-13 (KW = 6.17), JESPR-153 (KW = 9.97), and JESPR-178 (KW = 13.45) Simple sequence repeat (SSR) markers are significantly associated with natural leaf defoliation in the mapping population having stable estimates at empirically obtained critical thresholds (P < .05-.0001). JESPR-178 revealed the highest estimates (P < .0001) for association with the natural leaf defoliation trait, exceeding maximum empirical threshold values. JESPR-178 was assigned to the short arm of chromosome 18, suggesting indirectly that genes associated with natural leaf defoliation might be located on this chromosome. This microsatellite marker may have the potential for use to introgress the naturally early leaf defoliation quantitative trait loci (QTL) from the donor line Listopad Beliy to commercial varieties of cotton through marker-assisted selection programs.

Chromosomes, Plant↗

Construction of a genetic linkage map using MFLP and identification of molecular markers linked to domestication genes in narrow-leafed lupin (Lupinus angustifolius L.).

A mapping population of F(8)derived recombinant inbred lines (RILs) was established from a cross between a domesticated breeding line 83A:476 and a wild type P27255 in narrow-leaf lupin (Lupinus angustifolius L.). The parents together with the 89 RILs were subjected to DNA fingerprinting using microsatellite-anchored fragment length polymorphism (MFLP) to rapidly generate DNA markers to construct a linkage map. Five hundred and twenty two unique markers of which 21% were co-dominant, were generated and mapped. Phenotypic data for the domestication traits: mollis (soft seeds), leucospermus (white flower and seed colour); Lentus (reduced pod-shattering), iucundis (low alkaloid), Ku (early flowering) and moustache pattern on seed coats; were included. Three to 7 molecular markers were identified within 5 cM of each of these domestication genes. The anthracnose resistance gene Lanr1 was also mapped. Linkage groups were constructed using MapManager version QTXb20, resulting in 21 linkage groups consisting of 7 or more markers. The total map length was 1543 cM, with an average distance of 3.4 cM between adjacent markers. This is the first published map for a lupin species. The map can be exploited for marker assisted selection for genetic improvement in lupin breeding programs.

Chromosome Mapping↗

Duplicate marker loci can result in incorrect locus orders on linkage maps.

Genetic linkage maps, constructed from multi-locus recombination data, are the basis for many applications of molecular markers. For the successful employment of a linkage map, it is essential that the linear order of loci on a chromosome is correct. The objectives of this theoretical study were to (1) investigate the occurrence of incorrect locus orders caused by duplicate marker loci, (2) develop a statistical test for the detection of duplicate markers, and (3) discuss the implications for practical applications of linkage maps. We derived conditions, under which incorrect locus orders do or do not occur with duplicate marker loci for the general case of n markers on a chromosome in a BC(1) mapping population. We further illustrated these conditions numerically for the special case of four markers. On the basis of the extent of segregation distortion, an exact test for the presence of duplicate marker loci was suggested and its power was investigated numerically. Incorrect locus orders caused by duplicate marker loci can (1) negatively affect the assignment of target genes to chromosome regions in a map-based cloning experiment, (2) hinder indirect selection for a favorable allele at a quantitative trait locus, and (3) decrease the efficiency of reducing the length of the chromosome segment attached to a target gene in marker-assisted backcrossing.

Chromosome Mapping↗

Gene mapping in isolated populations: new roles for old friends?

Population isolates are increasingly being used in attempts to map genes underlying complex diseases. To further explore the utility of isolates for this purpose, we explore linkage disequilibrium patterns in polymorphisms from two regions (VWF and NF1) in three isolated populations from Finland. At the NF1 locus, the Finnish populations have greater pairwise disequilibrium than populations from Africa, Asia, or northern Europe. However, populations from 'New Finland' and 'Old Finland' do not differ in their disequilibrium levels at either the NF1 or the VWF locus. In addition, disequilibrium patterns and haplotype diversity do not differ between a sample from the Aland Islands, Finland, and a collection of outbred Centre d'Etude du Polymorphisme Humain families. These results show that linkage disequilibrium patterns sometimes differ among populations with different histories and founding dates, but some putative isolated populations may not significantly differ from larger admixed populations. We discuss factors that should be considered when using isolated populations in gene-mapping studies.

Chromosome Mapping↗

A genetic linkage map of Saccharum spontaneum L. 'SES 208'.

The arbitrarily primed polymerase chain reaction was used to detect single-dose polymorphisms that, in turn, were used to generate a linkage map of a polyploid relative of cultivated sugarcane, Saccharum spontaneum 'SES 208' (2n = 64). The mapping population was composed of 88 progeny from a cross between SES 208 and a diploidized haploid derived from SES 208 by anther culture, ADP 85-0068. This cross allowed direct analysis of meiosis in SES 208 and gametic segregation ratios to be observed. One hundred twenty-seven 10-mer oligonucleotide primers of arbitrary sequence were selected from a pool of 420 primers used to screen the mapping parents. Three hundred thirty-six of the 420 primers amplified 4,540 loci or 13.5 loci per primer. The selected 127 primers revealed 2,160 loci of which 279 were present in SES 208 and absent in ADP 85-0068 and easily scored. Two hundred and eight (74.6%) of these 279 polymorphisms were single-dose polymorphisms (i.e., they displayed 1:1 segregation, chi 2 at 98% confidence level). Linkage analysis (theta = 0.25, LOD = 9.0 for two-point analysis, then theta = 0.25, LOD = 6.0 for multipoint analysis) of single-dose polymorphisms placed them into 42 linkage groups containing at least 2 markers. These single-dose markers span 1,500 contiguous centimorgans (cM) with 32 markers remaining unlinked (15.4%). From this 208-marker map we estimated the genome size of SES 208 to be 2,500 cM. The map has a predicted coverage of 85.1% at 30 cM, meaning that any new marker placed has an 85.1% chance of being within 30 cM of an existing marker. Furthermore, we show that SES 208 behaves like an autopolyploid because (i) the ratio of single-dose markers to higher dose markers fit the assumption of auto-octaploidy and (ii) the absence of repulsion phase linkages. This is the first genetic map constructed directly on a polyploid species for which no diploid relatives are known.

Base Sequence↗

Linkage mapping of the ovine alpha-inhibin (INHA) beta(A)-inhibin/activin (INHBA) and beta(B)-inhibin/activin (INHBB) genes.

A full-sib mapping population was typed for Taql Southern blot RFLPs at the ovine alpha-inhibin (INHA), beta(A)-inhibin/activin (INHBA), and beta(B)-inhibin/activin (INHBB) loci. The most likely positions were found by genetic linkage analysis. INHA was placed on ovine chromosome 2q, between microsatellite markers BM6444 and INRA135, while INHBB was located 39 cM proximal to INHA between markers BMS1126 and BMS2626. The INHBA gene, a comparative mapping anchor locus, mapped to chromosome 4, between microsatellites OARCP26 and BMS719. These data confirm and refine previous chromosomal assignments by in situ hybridization, provide comparative mapping information, and identify microsatellite markers suitable for QTL association studies with inhibin/activin genes in ruminants.

Activins↗

Construction of a genetic map of barley (Hordeum vulgare L.) cross 'Azumamugi' x 'Kanto Nakate Gold' using a simple and efficient amplified fragment-length polymorphism system.

We have devised a simple and efficient amplified fragment-length polymorphism (AFLP) system consisting of small slab gels, a discontinuous buffer system, and silver staining. Using this system, a single worker developed a barley map with 227 polymorphic fragments in 2 months. As a mapping population, 99 recombinant inbred lines of barley cultivars 'Azumamugi' x 'Kanto Nakate Gold' were used. Most of the 227 AFLP fragments showed a Mendelian segregation ratio of 1:1, and all were assigned to the seven barley chromosomes. Thus, these fragments are useful as molecular markers. They were integrated with 40 previously characterized sequence-tagged sites, 3 isozymes, and 2 morphological markers to construct an integrated map. The resulting map covered 925.6 cM with 272 markers (detecting 150 loci) at an average interval of 6.5 cM/locus. This system greatly simplifies map construction.

Chromosome Mapping↗

Saturated molecular map of the rice genome based on an interspecific backcross population.

A molecular map has been constructed for the rice genome comprised of 726 markers (mainly restriction fragment length polymorphisms; RFLPs). The mapping population was derived from a backcross between cultivated rice, Oryza sativa, and its wild African relative, Oryza longistaminata. The very high level of polymorphism between these species, combined with the use of polymerase chain reaction-amplified cDNA libraries, contributed to mapping efficiency. A subset of the probes used in this study was previously used to construct an RFLP map derived from an inter subspecific cross, providing a basis for comparison of the two maps and of the relative mapping efficiencies in the two crosses. In addition to the previously described PstI genomic rice library, three cDNA libraries from rice (Oryza), oat (Avena) and barley (Hordeum) were used in this mapping project. Levels of polymorphism detected by each and the frequency of identifying heterologous sequences for use in rice mapping are discussed. Though strong reproductive barriers isolate O. sativa from O. longistaminata, the percentage of markers showing distorted segregation in this backcross population was not significantly different than that observed in an intraspecific F2 population previously used for mapping. The map contains 1491 cM with an average interval size of 4.0 cM on the framework map, and 2.0 cM overall. A total of 238 markers from the previously described PstI genomic rice library, 250 markers from a cDNA library of rice (Oryza), 112 cDNA markers from oat (Avena), and 20 cDNA markers from a barley (Hordeum) library, two genomic clones from maize (Zea), 11 microsatellite markers, three telomere markers, eleven isozymes, 26 cloned genes, six RAPD, and 47 mutant phenotypes were used in this mapping project. Applications of a molecular map for plant improvement are discussed.

Avena↗

Fine mapping of the qCTS12 locus, a major QTL for seedling cold tolerance in rice.

The temperate japonica rice cultivar M202 is the predominant variety grown in California due to its tolerance to low temperature stress, good grain quality and high yield. Earlier analysis of a recombinant inbred line mapping population derived from a cross between M202 and IR50, an indica cultivar that is highly sensitive to cold stress, resulted in the identification of a number of QTL conferring tolerance to cold-induced wilting and necrosis. A major QTL, qCTS12, located on the short arm of chromosome 12, contributes over 40% of the phenotypic variance. To identify the gene(s) underlying qCTS12, we have undertaken the fine mapping of this locus. Saturating the short arm of chromosome 12 with microsatellite markers revealed that qCTS12 is closest to RM7003. Using RM5746 and RM3103, which are immediately outside of RM7003, we screened 1,954 F(5)-F(10) lines to find recombinants in the qCTS12 region. Additional microsatellite markers were identified from publicly available genomic sequence and used to fine map qCTS12 to a region of approximately 87 kb located on the BAC clone OSJNBb0071I17. This region contains ten open reading frames (ORFs) consisting of five hypothetical and expressed proteins of unknown function, a transposon protein, a putative NBS-LRR disease resistance protein, two zeta class glutathione S-transferases (OsGSTZ1 and OsGSTZ2), and a DAHP synthetase. Further fine mapping with markers developed from the ORFs delimited the QTL to a region of about 55 kb. The most likely candidates for the gene(s) underlying qCTS12 are OsGSTZ1 and OsGSTZ2.

Chromosome Mapping↗

Genetic analysis of natural variations in the architecture of Arabidopsis thaliana vegetative leaves.

To ascertain whether intraspecific variability might be a source of information as regards the genetic controls underlying plant leaf morphogenesis, we analyzed variations in the architecture of vegetative leaves in a large sample of Arabidopsis thaliana natural races. A total of 188 accessions from the Arabidopsis Information Service collection were grown and qualitatively classified into 14 phenotypic classes, which were defined according to petiole length, marginal configuration, and overall lamina shape. Accessions displaying extreme and opposite variations in the above-mentioned leaf architectural traits were crossed and their F(2) progeny was found to be not classifiable into discrete phenotypic classes. Furthermore, the leaf trait-based classification was not correlated with estimates on the genetic distances between the accessions being crossed, calculated after determining variations in repeat number at 22 microsatellite loci. Since these results suggested that intraspecific variability in A. thaliana leaf morphology arises from an accumulation of mutations at quantitative trait loci (QTL), we studied a mapping population of recombinant inbred lines (RILs) derived from a Landsberg erecta-0 x Columbia-4 cross. A total of 100 RILs were grown and the third and seventh leaves of 15 individuals from each RIL were collected and morphometrically analyzed. We identified a total of 16 and 13 QTL harboring naturally occurring alleles that contribute to natural variations in the architecture of juvenile and adult leaves, respectively. Our QTL mapping results confirmed the multifactorial nature of the observed natural variations in leaf architecture.

Arabidopsis↗

Genetic analysis of disease subtypes and sexual dimorphisms in mouse experimental allergic encephalomyelitis (EAE): relapsing/remitting and monophasic remitting/nonrelapsing EAE are immunogenetically distinct.

Experimental allergic encephalomyelitis (EAE) is the principal animal model of multiple sclerosis (MS), the major inflammatory disease of the central nervous system. Murine EAE is generally either an acute monophasic or relapsing disease. Because the clinical spectrum of MS is more diverse, the limited range of disease subtypes observed in EAE has raised concern regarding its relevance as a model for MS. During the generation of a large F2 mapping population between the EAE-susceptible SJL/J and EAE-resistant B10.S/DvTe inbred lines, we identified four distinct subtypes of murine EAE resembling clinical subtypes seen in MS. We observed acute progressive, chronic/nonremitting, remitting/relapsing, and monophasic remitting/nonrelapsing EAE. An additional subtype, benign EAE, was identified after histologic examination revealed that some mice had inflammatory infiltrates of the central nervous system, but did not show clinical signs of EAE. Genome exclusion mapping was performed to identify the loci controlling susceptibility to each disease subtype. We report three novel EAE-modifying loci on chromosomes 16, 7, and 13 (eae11-13, respectively). Additionally, unique loci with gender-specific effects govern susceptibility to remitting/relapsing (eae12) and monophasic remitting/nonrelapsing (eae7 and 13) EAE.

Animals↗

The genetic architecture of Drosophila sensory bristle number.

We have mapped quantitative trait loci (QTL) for Drosophila mechanosensory bristle number in six recombinant isogenic line (RIL) mapping populations, each of which was derived from an isogenic chromosome extracted from a line selected for high or low, sternopleural or abdominal bristle number and an isogenic wild-type chromosome. All RILs were evaluated as male and female F(1) progeny of crosses to both the selected and the wild-type parental chromosomes at three developmental temperatures (18 degrees, 25 degrees, and 28 degrees ). QTL for bristle number were mapped separately for each chromosome, trait, and environment by linkage to roo transposable element marker loci, using composite interval mapping. A total of 53 QTL were detected, of which 33 affected sternopleural bristle number, 31 affected abdominal bristle number, and 11 affected both traits. The effects of most QTL were conditional on sex (27%), temperature (14%), or both sex and temperature (30%). Epistatic interactions between QTL were also common. While many QTL mapped to the same location as candidate bristle development loci, several QTL regions did not encompass obvious candidate genes. These features are germane to evolutionary models for the maintenance of genetic variation for quantitative traits, but complicate efforts to understand the molecular genetic basis of variation for complex traits.

Animals↗

Application of denaturing high-performance liquid chromatography for mapping of single nucleotide polymorphisms in barley (Hordeum vulgare L.).

Recent advances in DNA sequence analysis and the establishment of high-throughput assays have provided the framework for large-scale discovery and analysis of DNA sequence variation. In this context, single nucleotide polymorphisms (SNPs) are of particular interest. To initiate a systematic approach to develop an SNP map of barley (Hordeum vulgare L.), we have employed denaturing high-performance liquid chromatography (DHPLC) to analyse segregating SNP patterns in a doubled-haploid (DH) mapping population. To this end, SNPs between the parental genotypes were identified using a direct sequencing approach. Once a SNP was established between the parents, the optimal melting temperature of the PCR fragment containing the SNP was predicted for its analysis by DHPLC. Following the detection of the optimal temperature, the DH lines were analysed for the presence of either of the alleles. To test the utility of the analysis, data from previously mapped RFLP markers from which these SNPs were derived were compared. Results from these experiments indicate that DHPLC can be efficiently employed in analysing SNPs on a high-throughput scale.

Chromatography, High Pressure Liquid↗

A first linkage map of globe artichoke (Cynara cardunculus var. scolymus L.) based on AFLP, S-SAP, M-AFLP and microsatellite markers.

We present the first genetic maps of globe artichoke (Cynara cardunculus var. scolymus L. 2n=2x=34), constructed with a two-way pseudo-testcross strategy. A F1 mapping population of 94 individuals was generated between a late-maturing, non-spiny type and an early-maturing spiny type. The 30 AFLP, 13 M-AFLP and 9 S-SAP primer combinations chosen identified, respectively, 352, 38 and 41 polymorphic markers. Of 32 microsatellite primer pairs tested, 12 identified heterozygous loci in one or other parent, and 7 were fully informative as they segregated in both parents. The female parent map comprised 204 loci, spread over 18 linkage groups and spanned 1330.5 cM with a mean marker density of 6.5 cM. The equivalent figures for the male parent map were 180 loci, 17 linkage groups, 1239.4 and 6.9 cM. About 3% of the AFLP and AFLP-derived markers displayed segregation distortion with a P value below 0.01, and were not used for map construction. All the SSR loci were included in the linkage analysis, although one locus did show some segregation distortion. The presence of 78 markers in common to both maps allowed the alignment of 16 linkage groups. The maps generated provide a firm basis for the mapping of agriculturally relevant traits, which will then open the way for the application of a marker-assisted selection breeding strategy in this species.

Chromosome Mapping↗

High-resolution, genotype-free mapping of genetic variation with CRI-SPA-Map.

Genetic variation within species shapes phenotypes, but identifying the specific genes and variants that cause phenotypic differences is costly and challenging. Here, we introduce CRI-SPA-Map, a genetic mapping strategy combining CRISPR-Cas9 genome engineering, selective ploidy ablation (SPA), and high-throughput phenotyping for precise genetic mapping with or without genotyping in the yeast Saccharomyces cerevisiae. In CRI-SPA-Map, a donor strain carrying SPA machinery is mated to a genetically different recipient strain harboring a genome-integrated selectable cassette. In the resulting diploid, CRISPR-Cas9 cuts the cassette for replacement with DNA from the homologous donor chromosome. Donor chromosomes are then removed using SPA to yield haploid recombinant strains. To establish CRI-SPA-Map, we mated a W303 SPA strain to 92 strains from the BY4742 yeast knockout collection that carry gene deletion cassettes on the left arm of chromosome XIV and created 1,451 recombinant isolates. Whole-genome sequencing verified that deletion cassette replacement introduced short donor DNA tracts of variable length, resulting in a finely recombined mapping population. Using only the known location of the gene deletions, which marks where donor DNA is introduced, we identified a 6.5 kb-region shaping yeast growth. Further dissection of this region pinpointed two causal variants in two genes, MKT1 and SAL1. Engineering these variants alone and in combination revealed gene-by-environment interactions at both genes, as well as epistatic interactions between them that were in turn dependent on the environment. CRI-SPA-Map is a cost-effective strategy for creating high-resolution recombinant panels of yeast strains for identifying the genetic basis of phenotypic variation.

Journal Article↗