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Identification and mapping of microsatellite markers linked to a root-knot nematode resistance gene (rkn1) in Acala NemX cotton (Gossypium hirsutum L.).

Host-plant resistance is the most economic and effective strategy for root-knot nematode (RKN) Meloidogyne incognita control in cotton (Gossypium hirsutum L.). Molecular markers linked to resistance are important for incorporating resistance genes into elite cultivars. To screen for microsatellite markers (SSR) closely linked to RKN resistance in G. hirsutum cv. Acala NemX, F1, F2, BC1F1, and F2:7 recombinant inbred lines (RILs) from intraspecific crosses and an F2 from an interspecific cross with G. barbadense cv. Pima S-7 were used. Screening of 284 SSR markers, which cover all the known identified chromosomes and most linkage groups of cotton, was performed by bulked segregant analysis, revealing informative SSRs. The informative SSRs were then mapped on the above populations. One co-dominant SSR marker CIR316 was identified tightly linked to a major resistance gene (designated as rkn1), producing amplified DNA fragments of approximately 221 bp (CIR316a) and 210 bp (CIR316c) in Acala NemX and susceptible Acala SJ-2, respectively. The linkage between CIR316a marker and resistance gene rkn1 in Acala NemX had an estimated distance of 2.1-3.3 cM depending on the population used. Additional markers, including BNL1231 with loose linkage to rkn1 (map distance 25.1-27.4 cM), BNL1066, and CIR003 allowed the rkn1 gene to be mapped to cotton linkage group A03. This is the first report in cotton with a closely linked major gene locus determining nematode resistance, and informative SSRs may be used for marker-assisted selection.

Animals↗

Heterozygosities and allelic frequencies of 811 dinucleotide-repeat marker loci in the Taiwanese population.

To evaluate basic informativeness of commercially available microsatellite markers in theTaiwanese population, 190 unrelated Taiwanese children were genotyped using ABI PRISM Linkage Mapping Set-HD5. The average heterozygosity in Taiwanese was slightly lower than that in Caucasians among these 811 microsatellite markers. There were 50 marker loci with heterozygosities lower than 50%. Moreover, allelic distributions at many of the loci were significantly different in two ethnic groups. The results reported here represent a valuable database for disease genes mapping in the Taiwanese population. This database can be easily accessed at the Web site of Vita Genomics, Inc. (http://www.vitagenomics.com/str.html).

Alleles↗

Toward a unified approach to genetic mapping of eukaryotes based on sequence tagged microsatellite sites.

The genomes of all eukaryotes appear to contain a special class of loci, termed microsatellites, which can serve, if sequenced and taken as the substrate for the polymerase chain reaction, as highly informative, locus-specific markers. By analogy to the "sequence tagged sites" recently proposed by Olsen et al. for standardizing the human physical gene map, these microsatellite markers are termed "sequence tagged microsatellite sites" (STMS). Genetic maps based on STMS will share with the Olsen physical maps the advantage that mapping vocabularies will be standardized to the DNA sequence base and that access to any particular locus will not require shipping or storing cloned probes. The species map will consist simply of a listing of nucleotide sequences. Reference populations for developing STMS maps can be chosen on the basis of biological or economic interest. It will not be necessary to maximize for genetic divergence.

Animals↗

Genetic characterization of QTL associated with resistance to Fusarium head blight in a doubled-haploid spring wheat population.

Fusarium head blight (FHB) is one of the most important fungal wheat diseases worldwide. Understanding the genetics of FHB resistance is the key to facilitating the introgression of different FHB resistance genes into adapted wheat. The objectives of the present study were to detect and map quantitative trait loci (QTL) associated with FHB resistance genes and characterize the genetic components of the QTL in a doubled-haploid (DH) spring wheat population using both single-locus and two-locus analysis. A mapping population, consisting of 174 DH lines from the cross between DH181 (resistant) and AC Foremost (susceptible), was evaluated for type I resistance to initial infection during a 2-year period in spray-inoculated field trials, for Type II resistance to fungal spread within the spike in 3 greenhouse experiments using single-floret inoculation, and for resistance to kernel infection in a 2001 field trial. One-locus QTL analysis revealed 7 QTL for type I resistance on chromosome arms 2DS, 3AS, 3BS, 3BC (centromeric), 4DL, 5AS, and 6BS, 4 QTL for type II resistance on chromosomes 2DS, 3BS, 6BS, and 7BL, and 6 QTL for resistance to kernel infection on chromosomes 1DL, 2DS, 3BS, 3BC, 4DL, and 6BS. Two-locus QTL analysis detected 8 QTL with main effects and 4 additive by additive epistatic interactions for FHB resistance and identified novel FHB resistance genes for the first time on chromosomes 1DL, 4AL, and 4DL. Neither significant QTL by environment interactions nor epistatic QTL by environment interactions were found for either type I or type II resistance. The additive effects of QTL explained most of the phenotypic variance for FHB resistance. Marker-assisted selection for the favored alleles at multiple genomic regions appears to be a promising tool to accelerate the introgression and pyramiding of different FHB resistance genes into adapted wheat genetic backgrounds.

Chromosome Mapping↗

Response of rice to Al stress and identification of quantitative trait Loci for Al tolerance.

Rice (Oryza sativa L.) shows the highest tolerance to Al toxicity among small-grain cereal crops, however, the mechanisms and genetics responsible for its high Al tolerance are not yet well understood. We investigated the response of rice to Al stress using the japonica variety Koshihikari in comparison to the indica variety Kasalath. Koshihikari showed higher tolerance at various Al concentrations than Kasalath. The Al content in root apexes was less in Koshihikari than in Kasalath, suggesting that exclusion mechanisms rather than internal detoxification are acting in Koshihikari. Al-induced secretion of citrate was observed in both Koshihikari and Kasalath, however, it is unlikely to be the mechanism for Al tolerance because there was no significant difference in the amount of citrate secreted between Koshihikari and Kasalath. Quantitative trait loci (QTLs) for Al tolerance were mapped in a population of 183 backcross inbred lines (BILs) derived from a cross of Koshihikari and Kasalath. Three putative QTLs controlling Al tolerance were detected on chromosomes 1, 2 and 6. Kasalath QTL alleles on chromosome 1 and 2 reduced Al tolerance but increased tolerance on chromosome 6. The three QTLs explained about 27% of the phenotypic variation in Al tolerance. The existence of QTLs for Al tolerance was confirmed in substitution lines for corresponding chromosomal segments.

Adaptation, Physiological↗

A directed search in the region of GDF8 for quantitative trait loci affecting carcass traits in Texel sheep.

A directed search for QTL affecting carcass traits was carried out in the region of growth differentiation factor 8 (GDF8, also known as myostatin) on ovine chromosome 2 in seven Texel-sired half-sib families totaling 927 progeny. Weights were recorded at birth, weaning, ultrasound scanning, and slaughter. Ultrasonic measures of LM cross-sectional dimensions and s.c. fat above the LM were made, with the same measurements made on the LM after slaughter. Following slaughter, linear measurements of carcass length and width were made on all carcasses, and legs and loins from 540 lambs were dissected. Genotyping was carried out using eight microsatellite markers from FCB128 to RM356 on OAR 2 and analyzed using Haley-Knott regression. There was no evidence for QTL for growth rates or linear carcass traits. There was some evidence for QTL affecting LM dimensions segregating in some sire families, although it was not consistent between ultrasound and carcass measures of the same traits. There was strong and consistent evidence for a QTL affecting muscle and fat traits in the leg that mapped between markers BM81124 and BULGE20 for the four sires that were heterozygous in this region, but not for the three sires that were homozygous. The size of the effect varied across the four sires, ranging from 0.5 to 0.9 of an adjusted SD for weight-adjusted leg muscle traits, and ranging from 0.6 to 1.2 of an adjusted SD for weight-adjusted leg fat traits. The clearest effect shown was for multivariate analysis combining all leg muscle and fat traits analyzed across sires, where the -log(10) probability was 14. Animals carrying the favorable haplotype had 3.3% more muscle and 9.9% less fat in the leg relative to animals carrying other haplotypes. There was evidence for a second peak in the region of marker TEXAN2 for one sire group. It seems that a QTL affecting muscle and fat traits exists within the New Zealand Texel population, and it maps to the region of GDF8 on OAR2.

Adipose Tissue↗

Non-congruent relationships between variation in emm gene sequences and the population genetic structure of group A streptococci.

To examine the molecular population genetics of the M protein family of Streptococcus pyogenes (group A Streptococcus), the 5' regions of polymerase chain reaction-amplified emm products from 79 M serotypes were sequenced and the phylogeny was compared to estimates of overall genetic relationships among strains determined by multilocus enzyme electrophoresis. Although the 5' emm sequences from several strains designated as distinct M types were identical or almost identical, the overall pattern is characterized by very extensive variation. The composition of distinct emm sequence clusters generally parallels the ability of strains to express serum opacity factor and in some cases historical associations of certain M types with acute rheumatic fever, but not with M types classified as nephritogenic. For many strains there is a lack of congruency between variation in 5' emm sequences and estimates of overall chromosomal relationships, which is undoubtedly due to horizontal transfer and recombination of emm sequences. The results of these studies provide insights into the nature and extent of emm sequence variation and describe how this variation 'maps' onto the population genetic structure of extant S. pyogenes lineages. The complexity of emm sequence and streptococcal cell lineage relationships revealed by this analysis has significant implications for understanding evolutionary events generating strain diversity and the epidemiology of S. pyogenes diseases.

Amino Acid Sequence↗

Isolation and characterization of 70 novel microsatellite markers from ostrich (Struthio camelus) genome.

Microsatellite markers are widely used in linkage mapping, parentage testing, population genetic studies, and molecular evolution studies in many agricultural species, while only a limited number of ostrich (Struthio camelus) microsatellites have been isolated. Thus, we constructed a random small-insert genomic library and a microsatellite-enriched library containing CA repeats. Fourteen clones containing CA repeats were isolated from 3462 clones in the non-enriched library by radioactive screening and 248 positive clones were isolated from 300 sequenced clones from the enriched library by PCR screening. After the enrichment procedures, the proportion of clones containing CA repeats was raised to 78.8%, compared with 0.4% in the non-enriched libraries, indicating that the enrichment value approaches 200 fold, which decreased the time and cost of cloning. The number of complete simple CA repeats in these positive clones ranged from 5 to 29. The primers for 94 of these microsatellites were developed and used to detect polymorphisms, of which 61 loci exhibited length polymorphisms in 17 unrelated ostrich individuals. The new polymorphic microsatellite markers we have identified and characterized will contribute to the ostrich genetic map, parentage testing, and comparative genomics between avian species.

Animals↗

Analysis of microsatellite polymorphism in red deer, roe deer, and fallow deer -- possible employment in forensic applications.

DNA microsatellites play a major role in population genetics, linkage mapping, and parentage studies of mammals. In addition, they may be used for forensic purposes, if an individual identification of a specific animal is necessary. Therefore, we tested a variety of microsatellite polymorphism derived from reindeer (Rangifer tarandus) by PCR and sequencing analysis for use in red deer (Cervus elaphus), roe deer (Capreolus capreolus) and fallow deer (Dama dama). Twelve of these microsatellites were selected for further analysis. In all these microsatellite polymorphism short tandem repeats could be detected for one or all three species as shown by sequencing analysis. In red deer, more than two alleles were found in eight microsatellites, in roe deer more than two alleles could be demonstrated in seven microsatellites, whereas in fallow deer more than two alleles were found in only two microsatellite polymorphism. A comparison of sequences of PCR products from the three deer species with the sequences of reindeer revealed several differences between the four species. In six microsatellites -- selected because or their reliability in PCR and because of their polymorphic character -- we established a sequenced allelic ladder and give population data of all three species from 82 deer of the Northeast region of Germany (Vorpommern). Our results show the possibility to use microsatellite polymorphism in the identification of deer in forensic applications like poaching.

Alleles↗

The dbMHC microsatellite portal: a public resource for the storage and display of MHC microsatellite information.

Major histocompatibility complex (MHC) region Microsatellites (Msat) have been extensively used in various applications, such as disease mapping, forensics, and population genetics. A comprehensive review of HLA Msat primers has been previously published based on literature and sequence analysis, but electronic tools are lacking to make it easily accessible and actually used by the community. We have integrated data from this review, with an overlapping set of 31 Msat markers used in the 13th International Histocompatibility and Immunogenetics Workshop (IHIWS) to create a public archive that will synchronize published descriptions to a common framework. http://www.ncbi.nlm.nih.gov/projects/mhc. Currently, the dbMHC contains 389 primer pairs across the extended MHC targeting 281 distinct repeat regions (approximately 1/45 kb). Literature review and analysis of the primers reveal that over 200 synonymous names have been published for these markers. Users may view or download specific Msat data sets using the portal. Query options include name or partial name, primer sequence, neighboring genes, and/or position. Query results include locus name(s), a graphic showing of the relative location of the marker in relation to the classical HLA genes, a listing of the constituent primer pairs and name, a link to UniSTS, aliases, allele range (bp), overlapping single nucleotide polymorphisms, a link to e-polymerase chain reaction, and physical mapping information. To increase the utility of this resource, researchers using Msat markers in the HLA region are encouraged by the authors to submit new primers to the dbMHC. The minimal Msat submission consists of primers sequences, a submitter's name and contact information. Additional information recommended but not required is the laboratory protocol(s), known allele size range (bp), known aliases, and an exemplar sequence. Assigned UniSTS numbers can be used for primer pair standard identification.

Animals↗

Molecular mapping of novel genes controlling Fusarium head blight resistance and deoxynivalenol accumulation in spring wheat.

Fusarium head blight of wheat is an extremely damaging disease, causing severe losses in seed yield and quality. The objective of the current study was to examine and characterize alternate sources of resistance to Fusarium head blight (FHB). Ninety-one F1-derived doubled haploid lines from the cross Triticum aestivum 'Wuhan-1' x Triticum aestivum 'Maringa' were examined for disease reaction to Fusarium graminearum by single-floret injection in replicated greenhouse trials and by spray inoculation in replicated field trials. Field and greenhouse experiments were also used to collect agronomic and spike morphology characteristics. Seed samples from field plots were used for deoxynivalenol (DON) determination. A total of 328 polymorphic microsatellite loci were used to construct a genetic linkage map in this population and together these data were used to identify QTL controlling FHB resistance, accumulation of DON, and agronomic and spike morphology traits. The analysis identified QTL for different types of FHB resistance in four intervals on chromosomes 2DL, 3BS, and 4B. The QTLs on 4B and 3BS proximal to the centromere are novel and not reported elsewhere. QTL controlling accumulation of DON independent of FHB resistance were located on chromosomes 2DS and 5AS. Lines carrying FHB resistance alleles on 2DL and 3BS showed a 32% decrease in disease spread after single-floret injection. Lines carrying FHB resistance alleles on 3BS and 4B showed a 27% decrease from the mean in field infection. Finally, lines carrying favourable alleles on 3BS and 5AS, showed a 17% reduction in DON accumulation. The results support a polygenic and quantitative mode of inheritance and report novel FHB resistance loci. The data also suggest that resistance to FHB infection and DON accumulation may be controlled, in part, by independent loci and (or) genes.

Chromosome Mapping↗

Foliar disease resistance phenomics of fungal pathogens: image-based approaches for mapping quantitative resistance in cereal germplasm.

Host plant resistance is the most effective and environmentally sustainable means of reducing yield losses caused by fungal foliar pathogens of cereal species. Cereal genebank collections hold diverse pools of potentially underutilized disease resistance alleles, and cereal genomic resources are well advanced due to large-scale sequencing and genotyping efforts. Genome-Wide Association Studies (GWAS) have emerged as the predominant association genetics technique to initially discover novel disease resistance loci or alleles in these diverse collections. Traditional disease resistance phenotyping methods are reliant on visual estimation of disease symptom severity and have successfully supported genetic mapping studies either via GWAS or QTL mapping in biparental populations facilitating both marker development and gene cloning efforts. Due to foliar pathogens having a high capacity to evolve, there is a need to pyramid disease resistance genes with diverse mechanisms for durable control. Resistance expressed as a quantitative trait, known as quantitative resistance (QR), is hypothesized to be more durable, unlike major R-gene resistance that is race-specific and can be vulnerable to breaking down without gene stewardship. However, assessing QR visually is challenging, particularly when complicated by complex genotype × environment (G × E) effects in the field. High-throughput image-based phenotyping provides accurate and unbiased data that can support foliar disease resistance screening efforts of genebank collections using GWAS. In this review, we discuss image-based disease phenotyping based on macroscopic (visible symptoms) and microscopic features during the host-pathogen interaction. Quantitative image analysis approaches using conventional and artificial intelligence (AI) algorithms are also discussed.

Disease Resistance↗

Ventricular activation and recovery measured in electrocardiographic limb leads correlate with measurements from specific areas in body surface mapping.

AIMS: Dispersion of ventricular depolarization-repolarization in 12-lead electrocardiograms (ECGs) has been reported to provide noninvasive information on arrhythmogenicity. However, there are two methods to calculate the dispersion from ECGs including and excluding limb leads. The aim of this study was to examine whether temporal parameters from limb leads represent activation and repolarization of a particular part of the body surface. METHODS AND RESULTS: We compared the temporal parameters of activation time (AT), activation-recovery interval (ARI), and recovery time (RT) from limb leads of ECGs with those from an 87-lead body surface maps. The study population consisted of 50 normal subjects (25 men and 25 women, 19.4 +/- 1.6 years). The temporal parameters in leads I, II, and III were highly (r > 0.9) correlated with those in unipolar leads over the left lateral, left lower, and right lower chest, respectively. The temporal parameters in leads aVR, aVL, and aVF showed a significant correlation (r > 0.8) with those in unipolar leads over the right upper, left upper, and lower anterior chest, respectively. The mean AT, ARI, and RT from each limb lead of ECG were almost the same as those of unipolar leads over the corresponding areas of the body surface. CONCLUSIONS: These findings suggest that ATs, ARIs, and RTs from limb leads may represent those from unipolar leads of particular areas over the body surface in normal subjects. The temporal parameters from limb leads of ECGs may provide information on activation and repolarization as well as the precordial leads of ECGs.

Adolescent↗

[Comparison of the detection of QTL for yield traits in different generations of a rice cross using two mapping approaches].

In the F2 and recombinant inbred populations of Zhenshan 97B/Milyang 46, RFLP linkage maps were constructed to detect QTL for yield and its component traits. Results indicated that QTL having substantial additive effects were generally detected in both F2 and recombinant inbred populations. In addition, the trait performances were measured either based on a single plant or on replicated trials in the recombinant inbred population hardly affected the detection of QTL of higher effects.

Chromosome Mapping↗

Genome-wide analysis of gene transcription in the hypothalamus.

As the genomic regions containing loci predisposing to obesity-related traits are mapped in human population screens and mouse genetic studies, identification of susceptibility genes will increasingly be facilitated by bioinformatic methods. We hypothesized that candidate genes can be prioritized by their expression levels in tissues of central importance in obesity. Our objective was to develop a combined bioinformatics and molecular paradigm to identify novel genes as candidates for murine or human obesity genetic modifiers based on their differential expression patterns in the hypothalamus compared with other murine tissues. We used bioinformatics tools to search publicly available gene expression databases using criteria designed to identify novel genes differentially expressed in the hypothalamus. We used RNA methods to determine their expression sites and levels of expression in the hypothalamus of the murine brain. We identified the chromosomal location of the novel genes in mice and in humans and compared these locations with those of genetic loci predisposing to obesity-related traits. We developed a search strategy that correctly identified a set of genes known to be important in hypothalamic function as well as a candidate gene for Prader-Willi syndrome that was not previously identified as differentially expressed in the hypothalamus. Using this same strategy, we identified and characterized a set of 11 genes not previously known to be differentially expressed in the murine hypothalamus. Our results demonstrate the feasibility of combined bioinformatics and molecular approaches to the identification of genes that are candidates for obesity-related disorders in humans and mice.

Animals↗

Quantitative trait loci for growth traits in C57BL/6J x DBA/2J mice.

Quantitative trait loci (QTLs) for body weight and tail length are mapped in an F2 population of 927 C57BL/6J x DBA/2J mice. We test the concordance between the locations of the mapped QTLs with those detected by changes of marker frequency under artificial selection in a previous experiment with the same base population. The directions of effects of the QTLs are generally in agreement, and in many cases significant QTLs are found in similar map positions, but there are also discrepancies between the two experiments. There are indications of age-specific QTL effects on growth. For body weight traits, the genetic variation in the F2 appears to result from many loci with relatively small effects. For tail length at 10 weeks, however, a single QTL on Chromosome (Chr) 1 with a peak LOD score of approximately 33 contributes most of the genetic variation detected, changes the trait value by about 6%, and explains about 20% of the phenotypic variance of the trait.

Animals↗