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At least 181 records · Page 10Linked to original sources
PubMed2006

A genetic linkage map of Silene vulgaris based on AFLP markers.

A genetic linkage map of an intraspecific cross between 2 Silene vulgaris s.l. ecotypes is presented. Three-hundred AFLP markers from 2 different restriction enzyme combinations were used to genotype an F2 mapping population. Maternal and paternal pure-coupling phase maps with 114 and 186 markers on 12 and 13 linkage groups, respectively, were constructed. Total map length of the paternal and maternal maps are 547 and 446 Kosambi cM, respectively. Nearly half of the markers (49%) exhibited significant transmission ratio distortion. Genome coverage and potential causes of the observed segregation ratio distortions are discussed. The maps represent a first step towards the identification of quantitative trait loci associated with habitat adaptation in the non-model species Silene vulgaris.

Adaptation, Biological↗
PubMed2002

Quantitative trait loci for inflorescence development in Arabidopsis thaliana.

Variation in inflorescence development patterns is a central factor in the evolutionary ecology of plants. The genetic architectures of 13 traits associated with inflorescence developmental timing, architecture, rosette morphology, and fitness were investigated in Arabidopsis thaliana, a model plant system. There is substantial naturally occurring genetic variation for inflorescence development traits, with broad sense heritabilities computed from 21 Arabidopsis ecotypes ranging from 0.134 to 0.772. Genetic correlations are significant for most (64/78) pairs of traits, suggesting either pleiotropy or tight linkage among loci. Quantitative trait locus (QTL) mapping indicates 47 and 63 QTL for inflorescence developmental traits in Ler x Col and Cvi x Ler recombinant inbred mapping populations, respectively. Several QTL associated with different developmental traits map to the same Arabidopsis chromosomal regions, in agreement with the strong genetic correlations observed. Epistasis among QTL was observed only in the Cvi x Ler population, and only between regions on chromosomes 1 and 5. Examination of the completed Arabidopsis genome sequence in three QTL regions revealed between 375 and 783 genes per region. Previously identified flowering time, inflorescence architecture, floral meristem identity, and hormone signaling genes represent some of the many candidate genes in these regions.

Arabidopsis↗
PubMed2003

Molecular marker analysis and genetic basis for sterility of typical indica/japonica hybrids.

To explore the genes differentiated between typical indica and japonica varieties, two typical indica/japonica varieties, Balilla (japonica) and Nantehao (NTH, indica), were selected to construct genetic populations based on the widely surveying for spikelet and pollen fertility of 90 indica/japonica F1 hybrids, which also were used as the wide compatability testers. In order to analyze the genes (QTLs) related to spikelet and pollen fertility, two reciprocal backcross populations Balilla/NTH//Balilla and Balilla/NTH//NTH were constructed and the spikelet and pollen fertility of each individuals were assessed. In both populations, two traits all appeared distorted normal distribution, but in the first population, they forwarded to low-level fertility type, the later population, forwarded to high-level fertility type relatively. The results indicated that both of male and female gametophytes of Balilla/NTH hybrids were partial sterile. Then we analyzed the SSR marker genotype of each individuals of Balilla/NTH//Balilla population containing 142 individuals, and constructed a SSR linkage map, in which, there were 108 information markers distributing on all 12 chromosomes equably, average marker distance was about 11.9 cM. Therefore the linkage map was qualified for QTL analysis. Two methods were employed to conduct QTLs analysis, i.e., single marker analysis and interval mapping. According to single marker analysis, 17 and 12 markers were found significantly responsible for spikelet and pollen fertility, respectively. And further study by means of MAPMAKER/QTL software, for spikelet fertility trait, two QTLs were detected, qSPTF1 on chromosome 1 and qSPTF6 on chromosome 6, and their additive effect were 13.501 and -16.414, respectively. According to previous studies, qSPTF6 was deduced to be the same locus as S-5. For pollen fertility, qPLLN7 on chromosome 7 and qPLLN9 on chromosome 9 were detected, and their additive effects were -12.003 and -11.012, respectively. Because the QTLs detected cannot explain completely the total variance of mapping population, other genetic factors must be existed to be responsible for spikelet and pollen partial sterility. Hence we let two random markers as putative covariates, and divide the 142 individuals into four groups according to the two marker genotypes, then the average values of spikelet and pollen fertility of each groups were calculated for two-way ANOVA (analysis of variance). The results indicated that there existed strong interaction for both spikelet fertility and pollen fertility. At a significance level of 0.005, there over 61 and 51 pairs loci interactions detected playing an important role in spikelet and pollen sterility expression, respectively. These results indicated that epistasis also was one of major genetic components controlling indica/japonica hybrid sterility.

Analysis of Variance↗
PubMed2005

Development and mapping of a codominant SCAR marker linked to the andromonoecious gene of melon.

Monoecy is an important goal for melon breeding because of the agronomic advantages it provides to parental lines in that they do not require hand emasculation to develop monoecious F1 hybrids, the latter producing fruits of higher quality. Monoecious phenotype is conferred by the dominant allele of the andromonoecious (a) gene, whereas recessive homozygous plants are andromonoecious. A bulked segregant analysis (BSA) approach performed in a set of 38 double-haploid lines has allowed us to identify an AFLP marker linked to the a gene at 3.3 cM. Following cloning and sequencing of the AFLP fragment, specific PCR primers were designed and used in the amplification of a codominant SCAR marker. Using a backcrossed mapping population of 530 plants, the SCAR marker could be mapped near the a locus (5.5 cM). Size difference between the two allelic SCAR fragments is 42 bp and might be due to a deletion/insertion. The SCAR marker is closest to the a gene identified to date, and can be useful in breeding programs, using marker-assisted selection procedures to screen for sexual types in melon.

Cucumis melo↗
PubMed2006

The development and mapping of functional markers in Fragaria and their transferability and potential for mapping in other genera.

We have developed 46 primer pairs from exon sequences flanking polymorphic introns of 23 Fragaria gene sequences and one Malus sequence deposited in the EMBL database. Sequencing of a set of the PCR products amplified with the novel primer pairs in diploid Fragaria showed the products to be homologous to the sequences from which the primers were originally designed. By scoring the segregation of the 24 genes in two diploid Fragaria progenies FV x FN (F. vesca x F. nubicola F(2)) and 815 x 903BC (F. vesca x F. viridis BC(1)) 29 genetic loci at discrete positions on the seven linkage groups previously characterised could be mapped, bringing to 35 the total number of known function genes mapped in Fragaria. Twenty primer pairs, representing 14 genes, amplified a product of the expected size in both Malus and Prunus. To demonstrate the applicability of these gene-specific loci to comparative mapping in Rosaceae, five markers that displayed clear polymorphism between the parents of a Malus and a Prunus mapping population were selected. The markers were then scored and mapped in at least one of the two additional progenies.

Chromosome Mapping↗
PubMed2005

Genome-wide SNP discovery and linkage analysis in barley based on genes responsive to abiotic stress.

More than 2,000 genome-wide barley single nucleotide polymorphisms (SNPs) were developed by resequencing unigene fragments from eight diverse accessions. The average genome-wide SNP frequency observed in 877 unigenes was 1 SNP per 200 bp. However, SNP frequency was highly variable with the least number of SNP and SNP haplotypes observed within European cultivated germplasm reflecting effects of breeding history on genetic diversity. More than 300 SNP loci were mapped genetically in three experimental mapping populations which allowed the construction of an integrated SNP map incorporating a large number of RFLP, AFLP and SSR markers (1,237 loci in total). The genes used for SNP discovery were selected based on their transcriptional response to a variety of abiotic stresses. A set of known barley abiotic stress QTL was positioned on the linkage map, while the available sequence and gene expression information facilitated the identification of genes potentially associated with these traits. Comparison of the sequenced SNP loci to the rice genome sequence identified several regions of highly conserved gene order providing a framework for marker saturation in barley genomic regions of interest. The integration of genome-wide SNP and expression data with available genetic and phenotypic information will facilitate the identification of gene function in barley and other non-model organisms.

Expressed Sequence Tags↗
PubMed2003

Mapping of quantitative trait loci controlling adaptive traits in coastal Douglas fir. III. Quantitative trait loci-by-environment interactions.

Quantitative trait loci (QTL) were mapped in the woody perennial Douglas fir (Pseudotsuga menziesii var. menziesii [Mirb.] Franco) for complex traits controlling the timing of growth initiation and growth cessation. QTL were estimated under controlled environmental conditions to identify QTL interactions with photoperiod, moisture stress, winter chilling, and spring temperatures. A three-generation mapping population of 460 cloned progeny was used for genetic mapping and phenotypic evaluations. An all-marker interval mapping method was used for scanning the genome for the presence of QTL and single-factor ANOVA was used for estimating QTL-by-environment interactions. A modest number of QTL were detected per trait, with individual QTL explaining up to 9.5% of the phenotypic variation. Two QTL-by-treatment interactions were found for growth initiation, whereas several QTL-by-treatment interactions were detected among growth cessation traits. This is the first report of QTL interactions with specific environmental signals in forest trees and will assist in the identification of candidate genes controlling these important adaptive traits in perennial plants.

Genetic Linkage↗
PubMed2001

Resistance gene analogs in barley and their relationship to rust resistance genes.

Regions of amino acid conservation in the NBS domain of NBS-LRR resistance proteins facilitated the PCR isolation of eight resistance gene analog (RGA) sequences from genomic DNA of rice, barley, and Aegilops tauschii. These clones and other RGAs previously isolated from maize, rice, and wheat were assigned to 13 classes by DNA-sequence comparison and by their patterns of hybridisation to restricted barley DNA. Using a doubled-haploid mapping population, probes from 12 RGA classes were used to map 17 loci in the barley genome. Many of these probes have been used for mapping in wheat, and the collective data indicate that the positions of orthologous RGAs are conserved between barley and wheat. RGA loci were identified in the vicinity of barley leaf rust resistance loci Rph4, Rph7, and Rph10. Recombinants were identified between RGA loci and Rph7 and Rph10, while a cluster of RGA sequences detected by probe 5.2 cosegregated with Rph4 in 55 F2 lines.

Blotting, Southern↗
PubMed2003

Detection of quantitative trait loci for growth and beef carcass fatness traits in a cross between Bos taurus (Angus) and Bos indicus (Brahman) cattle.

This study was conducted to detect quantitative trait loci (QTL) affecting growth and beef carcass fatness traits in an experimental population of Angus and Brahman crossbreds. The three-generation mapping population was generated with 602 progeny from 29 reciprocal backcross and three F2 full-sib families, and 417 genetic markers were used to produce a sex-averaged map of the 29 autosomes spanning 2,642.5 Kosambi cM. Alternative interval-mapping approaches were applied under line-cross (LC) and random infinite alleles (RA) models to detect QTL segregating between and within breeds. A total of 35 QTL (five with genomewide significant and 30 with suggestive evidence for linkage) were found on 19 chromosomes. One QTL affecting yearling weight was found with genomewide significant evidence for linkage in the interstitial region of bovine autosome (BTA) 1, and an additional 19 QTL were detected with suggestive evidence for linkage under the LC model. Many of these QTL had a dominant (complete or overdominant) mode of gene action, and only a few of the QTL were primarily additive, which reflects the fact that heterosis for growth is known to be appreciable in crosses among Brahman and British breeds. Four QTL affecting growth were detected with genomewide significant evidence for linkage under the RA model on BTA 2 and BTA 6 for birth weight, BTA 5 for yearling weight, and BTA 23 for hot carcass weight. An additional 11 QTL were detected with suggestive evidence for linkage under the RA model. None of the QTL (except for yearling weight on BTA 5) detected under the RA model were found by the LC analyses, suggesting the segregation of alternate alleles within one or both of the parental breeds. Our results reveal the utility of implementing both the LC and RA models to detect dominant QTL and also QTL with similar allele frequency distributions within parental breeds.

Adipose Tissue↗
PubMed2005

Characterization and high-resolution mapping of a late blight resistance locus similar to R2 in potato.

Identification of resistance (R) genes to Phytophthora infestans is an essential step in molecular breeding of potato. We identified three specific R genes segregating in a diploid mapping population. One of the R genes is located on chromosome 4 and proved phenotypically indistinguishable from the Solanum demissum-derived R2, although S. demissum is not directly involved in the pedigree of the population. By bulked segregant analysis combined with a resistance assay, a genetic linkage map of the R2-like locus was constructed with 30 coupling and 23 repulsion phase AFLP markers. Two markers flanking the R2-like locus were applied to screen an extended population of 1,586 offspring. About 103 recombinants were selected, and an accurate high-resolution map was constructed. The R2-like resistance was localized in a 0.4 cM interval and was found co-segregating with four AFLP markers, which can be used to isolate the R2-like gene by map-based gene cloning. By analyzing race-specificity and R gene-specific molecular markers, we also found that an R1-like gene and an additional unknown R gene are segregating in the population.

Chromosome Mapping↗
PubMed2006

Identification and validation of molecular markers linked to the leaf rust resistance gene Lr19 in wheat.

A leaf rust resistance gene Lr19 on the chromosome 7DL of wheat derived from Agropyron elongatum was tagged with random amplified polymorphic DNA (RAPD) and microsatellite markers. The F(2) population of 340 plants derived from a cross between the leaf rust resistant near-isogenic line (NIL) of Thatcher (Tc + Lr19) and leaf rust susceptible line Agra Local that segregated for dominant monogenic leaf rust resistance was utilized for generating the mapping population. The molecular markers were mapped in the F(2) derived F(3) homozygous population of 140 seedlings. Sixteen RAPD markers were identified as linked to the alien gene Lr19 among which eight were in a coupling phase linkage. Twelve RAPD markers co-segregated with Lr19 locus. Nine microsatellite markers located on the long arm of chromosome 7D were also mapped as linked to the gene Lr19, including 7 markers which co-segregated with Lr19 locus, thus generating a saturated region carrying 25 molecular markers linked to the gene Lr19 within 10.2 +/- 0.062 cM on either side of the locus. Two RAPD markers S265(512) and S253(737) which flanked the locus Lr19 were converted to sequence characterized amplified region markers SCS265(512) and SCS253(736), respectively. The marker SCS265(512) was linked with Lr19 in a coupling phase and the marker SCS253(736) was linked in a repulsion phase, which when used together mimicked one co-dominant marker capable of distinguishing the heterozygous resistant seedlings from the homozygous resistant. The molecular markers were validated on NILs mostly in Thatcher background isogenic for 44 different Lr genes belonging to both native and alien origin. The validation for polymorphism in common leaf rust susceptible cultivars also confirmed the utility of these tightly linked markers to the gene Lr19 in marker-assisted selection.

Chromosome Mapping↗
PubMed2025

A transposable element insertion in AUX/IAA16 disrupts splicing and causes auxin resistance in Bassia scoparia.

A dicamba-resistant population of kochia (Bassia scoparia) identified in Colorado, USA in 2012 was used to generate a synthetic mapping population that segregated for dicamba resistance. Linkage mapping associating dicamba injury with genotype derived from restriction-site-associated DNA sequencing identified a single locus in the kochia genome associated with resistance on chromosome 4. A mutant version of Auxin/Indole-3-Acetic Acid 16 (AUX/IAA16; a gene previously implicated in dicamba resistance in kochia) was found near the middle of this locus in resistant plants. Long-read sequencing of dicamba-resistant plants identified a recently inserted long-terminal repeat (LTR) retrotransposon TRIM element near the beginning of the second exon of AUX/IAA16, leading to disruption of normal splicing and a mutated degron domain. Stable transgenic lines of Arabidopsis thaliana ectopically expressing the mutant and wild-type alleles of AUX/IAA16 were developed. Arabidopsis thaliana plants expressing the mutant AUX/IAA16 allele grew shorter roots on control media. However, transgenic root growth was less inhibited on media containing either dicamba (5 μM) or IAA (0.5 μM) when compared with non-transgenic plants or those expressing the wild-type allele of AUX/IAA16. In vitro assays indicate reduced binding affinity and more rapid dissociation of the mutant AUX/IAA16 with TIR1 in the presence of several auxins, and protein modeling suggests the substitution of the glycine residue in the degron domain of AUX/IAA16 is especially important for resistance. A fitness cost associated with the mutant allele of AUX/IAA16 has implications for resistance evolution and management of kochia populations with this resistance mechanism.

Indoleacetic Acids↗
PubMed1999

The Cf-ECP2 gene is linked to, but not part of, the Cf-4/Cf-9 cluster on the short arm of chromosome 1 in tomato.

A gene has been identified in tomato, which confers resistance to Cladosporium fulvum through recognition of the pathogenicity factor ECP2. Segregation analysis of F2 and F3 populations showed monogenic dominant inheritance, as for previously reported Cf resistances. The gene has been designated Cf-ECP2. Using several mapping populations, Cf-ECP2 was accurately mapped on chromosome 1, 7.7 cM proximal to TG236 and 6.0 cM distal to TG184. Although Cf-ECP2 is linked to Cf-4, it is not located in the Hcr9 cluster "Milky Way". Therefore, Cf-ECP2 is the first functional Cf homologue on chromosome 1 that does not belong to this Hcr9 cluster. No recombination events between Cf-ECP2 and CT116 have been observed in three populations tested, representing 282 individuals. The low value for the physical distance per cM around CT116 reported previously and the high probability that Cf-ECP2 is also a member of a Hcr9 cluster will facilitate cloning of the locus.

Base Sequence↗
PubMed2002

Characterisation of polymorphic microsatellite markers from Aegilops tauschii and transferability to the D-genome of bread wheat.

Microsatellites were isolated from a Aegilops tauschii (the D-genome donor of bread wheat) library enriched for various motifs. Primers generated from the flanking region of the microsatellites were used successfully to amplify the corresponding loci in the D genome of bread wheat. Additional amplification sometimes also occurred from the A and B genomes. The majority of the microsatellites contained (GA)(n) and (GT)(n) motifs. GA and GT repeats appeared to be both more abundant in this library and more polymorphic than other types of repeats. The allele number for both types of dinucleotide repeats fitted a Poisson distribution. Deviance analysis showed that GA and GT were more polymorphic than other motifs in bread wheat. Within each motif type (di-, tri- and tetra-nucleotide repeats), repeat number has no influence on polymorphism. The microsatellites were mapped using the Triticum aestivum Courtot x Chinese Spring mapping population. A total of 100 markers was developed on this intraspecific map, mainly on the D genome. For polyploid species, isolation of microsatellites from an ancestral diploid donor seems to be an efficient way of developing markers for the corresponding genome in the polyploid plant.

Journal Article↗
PubMed2006

Defining the sunflower (Helianthus annuus L.) linkage group ends with the Arabidopsis-type telomere sequence repeat-derived markers.

The target region amplification polymorphism (TRAP) marker technique was employed to define sunflower (Helianthus annuus L.) linkage group ends. In combination with eight arbitrary primers, nine fixed primers containing the Arabidopsis-type telomere repeat sequences worked successfully in generating polymorphic markers in the mapping population of 92 F(7) recombinant inbred lines (RIL) derived from the cross RHA 280 x RHA 801. This population was used in the construction of the densest sunflower linkage map of 577 simple sequence repeat (SSR) markers. With 18 sets of PCR reactions, 226 polymorphic TRAP markers were amplified from the two parental lines and 92 RIL. The computer program, Mapmaker, placed 183 markers into the established 17 linkage groups of the SSR map. Although most of the added markers spread across the genome, 32 markers were mapped to the outermost positions of the linkage groups, defining 21 of the 34 linkage group ends of the sunflower linkage map. The telomeric origin of a few of these markers was confirmed by sequence analyses. These telomere-associated markers will provide an accurate assessment of the completeness of a linkage group and a better estimate of the actual genetic lengths. The potential application of the telomere mapping to sunflower improvement is discussed.

Arabidopsis↗
PubMed2005

Selection bias in quantitative trait loci mapping.

A simulation study was performed to see whether selection affected quantitative trait loci (QTL) mapping. Populations under random selection, under selection among full-sib families, and under selection within a full-sib family were simulated each with heritability of 0.3, 0.5, and 0.7. They were analyzed with the marker spacing of 10 cM and 20 cM. The accuracy for QTL detection decreased for the populations under selection within full-sib family. Estimates of QTL effects and positions differed (P < .05) from their input values. The problems could be ignored when mapping a QTL for the populations under selection among full-sib families. A large heritability helped reduction of such problems. When the animals were selected within a full-sib family, the QTL was detected for the populations with heritability of 0.5 or larger using the marker spacing of 10 cM, and with heritability of 0.7 using the marker spacing of 20 cM. This study implied that when selection was introduced, the accuracy for QTL detection decreased and the estimates of QTL effects were biased. A caution was warranted on the decision of data (including selected animals to be genotyped) for QTL mapping.

Animals↗
PubMed2006

Epidemiological geomatics in evaluation of mine risk education in Afghanistan: introducing population weighted raster maps.

Evaluation of mine risk education in Afghanistan used population weighted raster maps as an evaluation tool to assess mine education performance, coverage and costs. A stratified last-stage random cluster sample produced representative data on mine risk and exposure to education. Clusters were weighted by the population they represented, rather than the land area. A "friction surface" hooked the population weight into interpolation of cluster-specific indicators. The resulting population weighted raster contours offer a model of the population effects of landmine risks and risk education. Five indicator levels ordered the evidence from simple description of the population-weighted indicators (level 0), through risk analysis (levels 1-3) to modelling programme investment and local variations (level 4). Using graphic overlay techniques, it was possible to metamorphose the map, portraying the prediction of what might happen over time, based on the causality models developed in the epidemiological analysis. Based on a lattice of local site-specific predictions, each cluster being a small universe, the "average" prediction was immediately interpretable without losing the spatial complexity.

Afghanistan↗