Search PubMed⌕ Search

SEARCH · Search PubMed

Results for “Mapping population”

Search indexed PubMed citations on genomics, clinical trials, systematic reviews and public health. Explore titles, authors and supplied subject terms, then open the PubMed record.

Quote a phrase for an exact phrase match. Source license links do not imply unrestricted reuse.

At least 91 records · Page 5Linked to original sources
PubMed2004

Identification of flanking SSR markers for a major rice gall midge resistance gene Gm1 and their validation.

Host-plant resistance is the preferred strategy for management of Asian rice gall midge (Orseolia oryzae), a serious pest in many rice-growing countries. The deployment of molecular markers linked to gall midge resistance genes in breeding programmes can accelerate the development of resistant cultivars. In the present study, we have tagged and mapped a dominant gall midge resistance gene, Gm1, from the Oryza sativa cv. W1263 on chromosome 9, using SSR markers. A progeny-tested F2 mapping population derived from the cross W1263/TN1 was used for analysis. To map the gene locus, initially a subset of the F2 mapping population consisting of 20 homozygous resistant and susceptible lines each was screened with 63 parental polymorphic SSR markers. The SSR markers RM316, RM444 and RM219, located on chromosome 9, are linked to Gm1 at genetic distances of 8.0, 4.9 and 5.9 cM, respectively, and flank the gene locus. Further, gene/marker order was also determined. The utility of the co-segregating SSR markers was tested in a backcross population derived from the cross Swarna/W1263//Swarna, and allelic profiles of these markers were analysed in a set of donor rice genotypes possessing Gm1 and in a few gall midge-susceptible, elite rice varieties.

Animals↗
PubMed2005

Mapping and tagging of seed coat colour and the identification of microsatellite markers for marker-assisted manipulation of the trait in Brassica juncea.

Microsatellite marker technology in combination with three doubled haploid mapping populations of Brassica juncea were used to map and tag two independent loci controlling seed coat colour in B. juncea. One of the populations, derived from a cross between a brown-seeded Indian cultivar, Varuna, and a Canadian yellow-seeded line, Heera, segregated for two genes coding for seed coat colour; the other two populations segregated for one gene each. Microsatellite markers were obtained from related Brassica species. Three microsatellite markers (Ra2-A11, Na10-A08 and Ni4-F11) showing strong association with seed coat colour were identified through bulk segregant analysis. Subsequent mapping placed Ra2-A11 and Na10-A08 on linkage group (LG) 1 at an interval of 0.6 cM from each other and marker Ni4-F11 on LG 2 of the linkage map of B. juncea published previously (Pradhan et al., Theor Appl Genet 106:607-614, 2003). The two seed coat colour genes were placed with markers Ra2-A11 and Na10-A08 on LG 1 and Ni4-F11 on LG 2 based on marker genotyping data derived from the two mapping populations segregating for one gene each. One of the genes (BjSC1) co-segregated with marker Na10-A08 in LG 1 and the other gene (BjSC2) with Ni4-F11 in LG 2, without any recombination in the respective mapping populations of 130 and 103 segregating plants. The identified microsatellite markers were studied for their length polymorphism in a number of yellow-seeded eastern European and brown-seeded Indian germplasm of B. juncea and were found to be useful for the diversification of yellow seed coat colour from a variety of sources into Indian germplasm.

Chromosome Mapping↗
PubMed1998

A ca. 40 kDa maize (Zea mays L.) embryo dehydrin is encoded by the dhn2 locus on chromosome 9.

Dehydrins (LEA D11 proteins) are the products of multigene families in a number of higher plants. To date, however, only one dehydrin locus, dhn1 (a major embryo and drought-induced protein of ca. 18 kDa) has been placed on chromosome 6L of the genetic linkage map of maize. The presence of a larger, ca. 40 kDa embryo protein that is also specifically detected by anti-dehydrin antibodies had been observed in some maize inbreds, including B73, suggesting that other dhn loci may exist. The ca. 22 kDa and ca. 40 kDa immunopositive proteins were purified from B73 and their amino acid compositions determined. The two proteins' amino acid compositions are typical of dehydrins, yet they differ from each other, indicating that they are distinct dhn gene products. Different size alleles for both proteins, or presence/absence in the case of the ca. 40 kDa protein, were evident from comparisons of embryo proteins of various maize inbreds. Analysis of segregating F2 progeny derived from self-pollination of F1 hybrids from four crosses (B73 x OH43, Mo17 x A632, AHO x A632, Latente x A632) revealed that alleles of the two genes assort independently. Map positions of the two dhn loci were then determined using two maize recombinant inbred line (RIL) mapping populations. The predicted map position of the gene controlling production of the ca. 22 kDa protein confirmed that this protein is the product of the dhn1 gene. The gene encoding the ca. 40 kDa dehydrin-like protein maps to a new locus on chromosome 9S near wx1, which we have named dhn2.

Amino Acid Sequence↗
PubMed2002

Genetic analysis of sunflower domestication.

Quantitative trait loci (QTL) controlling phenotypic differences between cultivated sunflower and its wild progenitor were investigated in an F(3) mapping population. Composite interval mapping revealed the presence of 78 QTL affecting the 18 quantitative traits of interest, with 2-10 QTL per trait. Each QTL explained 3.0-68.0% of the phenotypic variance, although only 4 (corresponding to 3 of 18 traits) had effects >25%. Overall, 51 of the 78 QTL produced phenotypic effects in the expected direction, and for 13 of 18 traits the majority of QTL had the expected effect. Despite being distributed across 15 of the 17 linkage groups, there was a substantial amount of clustering among QTL controlling different traits. In several cases, regions influencing multiple traits harbored QTL with antagonistic effects, producing a cultivar-like phenotype for some traits and a wild-like phenotype for others. On the basis of the directionality of QTL, strong directional selection for increased achene size appears to have played a central role in sunflower domestication. None of the other traits show similar evidence of selection. The occurrence of numerous wild alleles with cultivar-like effects, combined with the lack of major QTL, suggests that sunflower was readily domesticated.

Chromosome Mapping↗
PubMed2006

Genetics of symbiosis in Lotus japonicus: recombinant inbred lines, comparative genetic maps, and map position of 35 symbiotic loci.

Development of molecular tools for the analysis of the plant genetic contribution to rhizobial and mycorrhizal symbiosis has provided major advances in our understanding of plant-microbe interactions, and several key symbiotic genes have been identified and characterized. In order to increase the efficiency of genetic analysis in the model legume Lotus japonicus, we present here a selection of improved genetic tools. The two genetic linkage maps previously developed from an interspecific cross between L. japonicus Gifu and L. filicaulis, and an intraspecific cross between the two ecotypes L. japonicus Gifu and L. japonicus MG-20, were aligned through a set of anchor markers. Regions of linkage groups, where genetic resolution is obtained preferentially using one or the other parental combination, are highlighted. Additional genetic resolution and stabilized mapping populations were obtained in recombinant inbred lines derived by a single seed descent from the two populations. For faster mapping of new loci, a selection of reliable markers spread over the chromosome arms provides a common framework for more efficient identification of new alleles and new symbiotic loci among uncharacterized mutant lines. Combining resources from the Lotus community, map positions of a large collection of symbiotic loci are provided together with alleles and closely linked molecular markers. Altogether, this establishes a common genetic resource for Lotus spp. A web-based version will enable this resource to be curated and updated regularly.

Alleles↗
PubMed2003

Imagery of voluntary movement of fingers, toes, and tongue activates corresponding body-part-specific motor representations.

We investigate whether imagery of voluntary movements of different body parts activates somatotopical sections of the human motor cortices. We used functional magnetic resonance imaging to detect the cortical activity when 7 healthy subjects imagine performing repetitive (0.5-Hz) flexion/extension movements of the right fingers or right toes, or horizontal movements of the tongue. We also collected functional images when the subjects actually executed these movements and used these data to define somatotopical representations in the motor areas. In this study, we relate the functional activation maps to cytoarchitectural population maps of areas 4a, 4p, and 6 in the same standard anatomical space. The important novel findings are 1). that imagery of hand movements specifically activates the hand sections of the contralateral primary motor cortex (area 4a) and the contralateral dorsal premotor cortex (area 6) and a hand representation located in the caudal cingulate motor area and the most ventral part of the supplementary motor area; 2). that when imagining making foot movements, the foot zones of the posterior part of the contralateral supplementary motor area (area 6) and the contralateral primary motor cortex (area 4a) are active; and 3). that imagery of tongue movements activates the tongue region of the primary motor cortex and the premotor cortex bilaterally (areas 4a, 4p, and 6). These results demonstrate that imagery of action engages the somatotopically organized sections of the primary motor cortex in a systematic manner as well as activating some body-part-specific representations in the nonprimary motor areas. Thus the content of the mental motor image, in this case the body part, is reflected in the pattern of motor cortical activation.

Adult↗
PubMed2003

Localization of QTLs for yield and fiber quality traits of tetraploid cotton cultivar.

Using SSR and RAPD as molecular markers, and the 69 F2 families from a cross between Handan208 (Gossypium hirsutum) and Pima90 (Gossypium barbadense) as a mapping population, a linkage map comprising 126 markers was constructed. With an average spacing 13.7 cM between markers, the linkage map spanned 1,717.0 cM, which covers approximately 34.34% of the total recombinational length of cotton genome. Based on the linkage map and the F2:3 phenotypic data, overall genome QTL screening was conducted by composite interval mapping method, then 29 QTLs related to cotton yield traits and fiber quality traits were found. There are 16 loci related to yield traits and 13 loci related to fiber quality. Particularly, two QTLs relevant to fiber strength were detected, which could explain phenotypic variance of 34.15% and 13.86%, respectively.

Genetic Linkage↗
PubMed2000

Linkage disequilibrium mapping in populations of variable size using the decay of haplotype sharing and a stepwise-mutation model.

Linkage-disequilibrium (LD) mapping is a powerful tool for fine-mapping disease genes. Recently, McPeek and Strahs [(1999) Am J Hum Genet 65:858-875] proposed a multilocus model for LD mapping based on the decay of haplotype sharing. Here we extend their approach in two ways. First, instead of assuming each marker allele has an equal chance to mutate to one of the other marker alleles, we use the stepwise-mutation model to describe the mutation process for microsatellite markers. Second, in addition to the independence model and the constant population size model they considered, we model the dependence among observed haplotypes due to population structure by using a general conditional-coalescent model with variable population size. Through simulation studies, we study the effects of the stepwise-mutation model and variable population size on the estimates of disease gene location, mutation rate, and time to the most recent common ancestor of the sampled haplotypes. We then use this method to analyze progressive myoclonus epilepsy data.

Chromosome Mapping↗
PubMed2002

AFLP maps of Petunia hybrida: building maps when markers cluster.

AFLP mapping in Petunia hybrida was undertaken with the intention of building a high-density genetic map suitable for applications such as map-based gene cloning. In total five maps were constructed from two mapping populations, with placement of more than 800 markers. Despite the large number of markers the resulting map is roughly ten-fold smaller than those of other plant species, including the closely related tomato. Low levels of recombination are reflected in clusters of tightly linked markers, both AFLPs and RFLPs, in all the maps. Clustering patterns vary between mapping populations, however, such that loci tightly linked in one population may be separable in another. Combined with earlier reports of aberrant meiotic pairing and recombination, our results suggest that, for species like petunia, map-based cloning may be more complex than in model species such as arabidopsis and tomato.

Journal Article↗
PubMed2006

A microsatellite marker based linkage map of tobacco.

We report the first linkage map of tobacco (Nicotiana tabacum L.) generated through microsatellite markers. The microsatellite markers were predominantly derived from genomic sequences of the Tobacco Genome Initiative (TGI) through bioinformatics screening for microsatellite motives. A total of 684 primer pairs were screened for functionality in a panel of 16 tobacco lines. Of those, 637 primer pairs were functional. Potential parents for mapping populations were evaluated for their polymorphism level through genetic similarity analysis. The similarity analysis revealed that the known groups of tobacco varieties (Burley, Flue-cured, Oriental and Dark) form distinct clusters. A mapping population, based on a cross between varieties Hicks Broad Leaf and Red Russian, and consisting of 186 F2 individuals, was selected for mapping. A total of 282 functional microsatellite markers were polymorphic in this population and 293 loci could be mapped together with the morphological trait flower color. Twenty-four tentative linkage groups spanning 1,920 cM could be identified. This map will provide the basis for the genetic mapping of traits in tobacco and for further analyses of the tobacco genome.

Chromosome Mapping↗
PubMed2004

Fine-mapping of the BaMMV, BaYMV-1 and BaYMV-2 resistance of barley (Hordeum vulgare) accession PI1963.

Barley yellow mosaic disease caused by the bymoviruses barley mild mosaic virus (BaMMV) and barley yellow mosaic virus (BaYMV) is one of the economically most important diseases of winter barley in Europe. In European barley breeding programmes, resistance is currently due to only two genes-rym4, which is effective against viruses BaMMV and BaYMV-1, and rym5, which is effective against BaYMV-2. Diversification of resistance is therefore an important task. Because the accession PI1963 confers immunity against all European strains of barley yellow mosaic disease and is not allelic to rym5, we have attempted to develop closely linked markers in order to facilitate the efficient introgression of this resistance into adapted germplasm. By means of restriction fragment length polymorphism analysis, we located a gene locus for resistance to BaMMV, BaYMV-1 and BaYMV-2 of PI1963 on chromosome 4HL using a mapping population (W757) comprising 57 doubled haploid (DH) lines. Subsequent tests for allelism indicated that the BaMMV resistance gene in PI1963 is allelic to rym11. Two DH populations, IPK1 and IPK2, comprising 191 and 161 DH lines, respectively, were derived from the initial mapping population W757 and used for further analysis. As random amplified polymorphic DNA development did not facilitate the identification of more closely linked markers, simple sequence repeat (SSR) analyses were conducted. For population IPK1, the closest SSRs detected were Bmac181 and Bmag353, which flank the gene at 2.1 cM and 2.7 cM, respectively. For the IPK2 population, the SSR markers HVM3 and Bmag353 are located proximally at 2.5 cM and distally at 8.2 cM, respectively. In order to develop markers more tightly linked to rym11, a targeted amplified fragment length polymorphism (AFLP) marker identification approach was adopted using bulks comprising lines carrying recombination events proximal and distal to the target interval. Using this approach we identified six AFLP markers closely linked to rym11, with the two markers, E56M32 and E49M33, co-segregating with rym11 in both populations. The SSRs and AFLPs identified in this study represent useful tools for marker-assisted selection.

Chromosome Mapping↗
PubMed2005

Gene networks in hexaploid wheat: interacting quantitative trait loci for grain protein content.

In hexaploid wheat, single-locus and two-locus quantitative trait loci (QTL) analyses for grain protein content (GPC) were conducted using two different mapping populations (PI and PII). Main effect QTLs (M-QTLs), epistatic QTLs (E-QTLs) and QTL x environment interactions (QE, QQE) were detected using two-locus analyses in both the populations. Only a few QTLs were common in both the analyses, and the QTLs and the interactions detected in the two populations differed, suggesting the superiority of two-locus analysis and the need for using several mapping populations for QTL analysis. A sizable proportion of genetic variation for GPC was due to interactions (28.59% and 54.03%), rather than to M-QTL effects (7.24% and 7.22%), which are the only genetic effects often detected in the majority of QTL studies. Even E-QTLs made a marginal contribution to genetic variation (2.68% and 6.04%), thus suggesting that the major part of genetic variation is due to changes in gene networks rather than the presence or absence of specific genes. This is in sharp contrast to the genetic dissection of pre-harvest sprouting tolerance conducted by us earlier, where interaction effects were not substantial, suggesting that the nature of genetic variation also depends on the nature of the trait.

Plant Proteins↗
PubMed2005

Molecular mapping of k2 Mdh1-n y20, an unstable chromosomal region in soybean [Glycine max (L.) Merr.].

In the soybean genome, a chromosomal region covering three tightly linked genes, k2, Mdh1-n, and y20, was found very unstable. It was suspected that the instability of the k2 Mdh1-n y20 chromosomal region was caused by a non-autonomous transposable element residing adjacent to or in this region. In this study, we located and mapped this region with simple sequence repeat (SSR) markers on the soybean integrated map using five mapping populations. The k2 Mdh1-n y20 chromosomal region was located on molecular linkage group H. The integrated map from five mapping populations consisted of 13 loci in the order Satt541, Satt469, Sat_122, Satt279, Satt253, Satt314, Mdh1-n,y20, k2, Satt302, Satt142, Satt181, and Satt434. The k2 Mdh1-n y20 chromosomal region was very close to Satt314, Satt253, and Satt279. The genetic distance between the Mdh1-n gene and Satt314 was less than 1 cM. The results of the mapping study were consistent with the results from previous studies that the Mdh1-n mutation in T261 (k2 Mdh1-n) and the Mdh1-n y20 mutation in T317 (Mdh1-n y20) were caused by deletions. In addition, another putative deletion was found in the genome of T261 which covered three SSR markers (Satt314, Satt253, and Satt279).

Chromosomal Instability↗
PubMed2004

A molecular linkage map of olive (Olea europaea L) based on RAPD, microsatellite, and SCAR markers.

An integrated molecular linkage map of olive (Olea europaea L.) was constructed based on randomly amplified polymorphic DNA (RAPD), sequence characterized amplified region (SCAR), and microsatellite markers using the pseudo-testcross strategy. A mapping population of 104 individuals was generated from an F1 full-sib family of a cross between 'Frantoio' and 'Kalamata'. The hybridity of the mapping population was confirmed by genetic similarity and nonmetric multidimensional scaling. Twenty-three linkage groups were mapped for 'Kalamata', covering 759 cM of the genome with 89 loci and an average distance between loci of 11.5 cM. Twenty-seven linkage groups were mapped for 'Frantoio', covering 798 cM of the genome with 92 loci and an average distance between loci of 12.3 cM. For the integrated map, 15 linkage groups covered 879 cM of the genome with 101 loci and an average distance between loci of 10.2 cM. The size of the genomic DNA was estimated to be around 3000 cM. A sequence characterized amplified region marker linked to olive peacock disease resistance was mapped to linkage group 2 of the integrated map. These maps will be the starting point for studies on the structure, evolution, and function of the olive genome. When the mapping progeny pass through their juvenile phase and assume their adult characters, mapping morphological markers and identification of quantitative trait loci for adaptive traits will be the primary targets.

Chromosome Mapping↗
PubMed2006

Development and genetic mapping of sequence-tagged microsatellites (STMs) in bread wheat (Triticum aestivum L.).

The density of SSRs on the published genetic map of bread wheat (Triticum aestivum L.) has steadily increased over the last few years. This has improved the efficiency of marker-assisted breeding and certain types of genetic research by providing more choice in the quality of SSRs and a greater chance of finding polymorphic markers in any cross for a chromosomal region of interest. Increased SSR density on the published wheat genetic map will further enhance breeding and research efforts. Here, sequence-tagged microsatellite profiling (STMP) is demonstrated as a rapid technique for the economical development of anonymous genomic SSRs to increase marker density on the wheat genetic map. A total of 684 polymorphic sequence-tagged microsatellites (STMs) were developed, and 380 were genetically mapped in three mapping populations, with 296 being mapped in the International Triticeae Mapping Initiative W7984 x Opata85 recombinant inbred cross. Across the three populations, a total of 479 STM loci were mapped. Several technological advantages of STMs over conventional SSRs were also observed. These include reduced marker deployment costs for fluorescent-based SSR analysis, and increased genotyping throughput by more efficient electrophoretic separation of STMs and a high amenability to multiplex PCR.

Chromosome Mapping↗
PubMed1990

Genetic and physical mapping and population studies of a fibronectin receptor beta-subunit-like sequence on human chromosome 19.

A cDNA clone of the beta subunit of human fibronectin receptor (FNRB) detects two different polymorphic loci: (a) a codominant system previously mapped to the pericentromeric region of chromosome 10, the site of the functional FNRB gene; and (b) a dominant system not linked to the first one or to any chromosome 10 marker tested. This second polymorphism is characterized by the presence or absence of a band (or a set of bands). We have used linkage analysis and biotin-labeled in situ hybridization to map this dominant polymorphism to the short arm of chromosome 19; we hypothesize that it may be due to the insertion of part of the cDNA from the chromosome 10 gene into chromosome 19. This "insertion" is polymorphic in all populations studied.

Chromosome Mapping↗
PubMed2006

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↗