Showing papers on "Microsatellite published in 2004"
TL;DR: MICRO - CHECKER estimates the frequency of null alleles and, importantly, can adjust the allele and genotype frequencies of the amplified alleles, permitting their use in further population genetic analysis.
Abstract: DNA degradation, low DNA concentrations and primer-site mutations may result in the incorrect assignment of microsatellite genotypes, potentially biasing population genetic analyses. MICRO - CHECKER is WINDOWS ®-based software that tests the genotyping of microsatellites from diploid populations. The program aids identification of genotyping errors due to nonamplified alleles (null alleles), short allele dominance (large allele dropout) and the scoring of stutter peaks, and also detects typographic errors. MICRO - CHECKER estimates the frequency of null alleles and, importantly, can adjust the allele and genotype frequencies of the amplified alleles, permitting their use in further population genetic analysis. MICRO CHECKER can be freely downloaded from http://www.microchecker.hull.ac.uk/.
9,953 citations
TL;DR: This consensus map represents the highest-density public microsatellite map of wheat and is accompanied by an allele database showing the parent allele sizes for every marker mapped, which enables users to predict allele sizes in new breeding populations and develop molecular breeding and genomics strategies.
Abstract: A microsatellite consensus map was constructed by joining four independent genetic maps of bread wheat. Three of the maps were F1-derived, doubled-haploid line populations and the fourth population was ‘Synthetic’ × ‘Opata’, an F6-derived, recombinant-inbred line population. Microsatellite markers from different research groups including the Wheat Microsatellite Consortium, GWM, GDM, CFA, CFD, and BARC were used in the mapping. A sufficient number of common loci between genetic maps, ranging from 52 to 232 loci, were mapped on different populations to facilitate joining the maps. Four genetic maps were developed using MapMaker V3.0 and JoinMap V3.0. The software CMap, a comparative map viewer, was used to align the four maps and identify potential errors based on consensus. JoinMap V3.0 was used to calculate marker order and recombination distances based on the consensus of the four maps. A total of 1,235 microsatellite loci were mapped, covering 2,569 cM, giving an average interval distance of 2.2 cM. This consensus map represents the highest-density public microsatellite map of wheat and is accompanied by an allele database showing the parent allele sizes for every marker mapped. This enables users to predict allele sizes in new breeding populations and develop molecular breeding and genomics strategies.
1,761 citations
TL;DR: In this article, a compilation of 307 studies using nuclear DNA markers for evaluating among-and within-population diversity in wild angiosperms and gymnosperms was made, which indicated that long-lived, outcrossing, late successional taxa retain most of their genetic variability within populations.
Abstract: A compilation was made of 307 studies using nuclear DNA markers for evaluating among- and within-population diversity in wild angiosperms and gymnosperms. Estimates derived by the dominantly inherited markers (RAPD, AFLP, ISSR) are very similar and may be directly comparable. STMS analysis yields almost three times higher values for within-population diversity whereas among-population diversity estimates are similar to those derived by the dominantly inherited markers. Number of sampled plants per population and number of scored microsatellite DNA alleles are correlated with some of the population genetics parameters. In addition, maximum geographical distance between sampled populations has a strong positive effect on among-population diversity. As previously verified with allozyme data, RAPD- and STMS-based analyses show that long-lived, outcrossing, late successional taxa retain most of their genetic variability within populations. By contrast, annual, selfing and/or early successional taxa allocate most of the genetic variability among populations. Estimates for among- and within-population diversity, respectively, were negatively correlated. The only major discrepancy between allozymes and STMS on the one hand, and RAPD on the other hand, concerns geographical range; within-population diversity was strongly affected when the former methods were used but not so in the RAPD-based studies. Direct comparisons between the different methods, when applied to the same plant material, indicate large similarities between the dominant markers and somewhat lower similarity with the STMS-based data, presumably due to insufficient number of analysed microsatellite DNA loci in many studies.
1,718 citations
TL;DR: In this review, the principles, potential power, requirements, advantages, and disadvantages of the various marker types are discussed, along with their applications in a variety of aquaculture studies.
980 citations
TL;DR: Although ascertainment bias is a problem for some applications, SNPs can often generate equivalent statistical power whilst providing broader genome coverage and higher quality data than can either microsatellites or mtDNA, suggesting that SNPs could become an efficient and cost-effective genetic tool.
Abstract: Over the past two decades, new molecular genetic techniques have had substantial impacts on the fields of ecology, evolution and conservation. However, our current toolbox of genetic methodologies remains inadequate for answering many questions and there are significant technological and analytical limitations. We review the possible uses of single nucleotide polymorphisms (SNPs) as novel genetic markers for common questions in population genetics. Furthermore, we evaluate the potential of SNPs relative to frequently used genetic markers, such as microsatellite loci and mitochondrial DNA (mtDNA) sequences, and we discuss statistical power, analytical approaches, and technological improvements and limitations. Although ascertainment bias is a problem for some applications, SNPs can often generate equivalent statistical power whilst providing broader genome coverage and higher quality data than can either microsatellites or mtDNA, suggesting that SNPs could become an efficient and cost-effective genetic tool.
961 citations
TL;DR: Microsatellite null alleles in frequencies typically reported in the literature introduce rather inconsequential biases on average exclusion probabilities, but can introduce substantial errors into empirical assessments of specific mating events by leading to high frequencies of false parentage exclusions.
Abstract: Highly polymorphic microsatellite markers are widely employed in population genetic analyses (eg, of biological parentage and mating systems), but one potential drawback is the presence of null alleles that fail to amplify to detected levels in the PCR assays. Here we examine 233 published articles in which authors reported the suspected presence of one or more microsatellite null alleles, and we review how these purported nulls were detected and handled in the data analyses. We also employ computer simulations and analytical treatments to determine how microsatellite null alleles might impact molecular parentage analyses. The results indicate that whereas null alleles in frequencies typically reported in the literature introduce rather inconsequential biases on average exclusion probabilities, they can introduce substantial errors into empirical assessments of specific mating events by leading to high frequencies of false parentage exclusions.
901 citations
TL;DR: The mapped microsatellite loci will be useful not only for deletion stock verifications but also for allocating associated QTLs to deletion bins where numerous ESTs that could be potential candidate genes are currently assigned.
Abstract: Because of polyploidy and large genome size, deletion stocks of bread wheat are an ideal material for physically allocating ESTs and genes to small chromosomal regions for targeted mapping. To enhance the utility of deletion stocks for chromosome bin mapping, we characterized a set of 84 deletion lines covering the 21 chromosomes of wheat using 725 microsatellites. We localized these microsatellite loci to 94 breakpoints in a homozygous state (88 distal deletions, 6 interstitial), and 5 in a heterozygous state representing 159 deletion bins. Chromosomes from homoeologous groups 2 and 5 were the best covered (126 and 125 microsatellites, respectively) while the coverage for group 4 was lower (80 microsatellites). We assigned at least one microsatellite in up to 92% of the bins (mean 4.97 SSR/bin). Only a few discrepancies concerning marker order were observed. The cytogenetic maps revealed small genetic distances over large physical regions around the centromeres and large genetic to physical map ratios close to the telomeres. As SSRs are the markers of choice for many genetic and breeding studies, the mapped microsatellite loci will be useful not only for deletion stock verifications but also for allocating associated QTLs to deletion bins where numerous ESTs that could be potential candidate genes are currently assigned.
525 citations
TL;DR: This method takes into account mutation processes and permits comparison of individuals with different ploidy levels and should provide a valuable tool for intraspecific analyses of polyploid organisms, which are widespread among plants and some animal taxa.
Abstract: Microsatellites are powerful molecular markers, used commonly to estimate intraspecific genetic distances. With the exception of band sharing similarity index, available distance measures were developed specifically for diploid organisms and are unsuited for comparisons of polyploids. Here, we present a simple method for calculation of microsatellite genotype distances, which takes into account mutation processes and permits comparison of individuals with different ploidy levels. This method should provide a valuable tool for intraspecific analyses of polyploid organisms, which are widespread among plants and some animal taxa. An illustration is given using data from the planarian flatworm Schmidtea polychroa (Platyhelminthes).
479 citations
TL;DR: A multicolor fluorescence in situ hybridization procedure was developed that identifies meiotic pachytene, late prophase I, and metaphase I chromosomes and could facilitate the study of chromosomal structure and behavior and be adapted for other plant species.
Abstract: Study of the maize (Zea mays L.) somatic chromosomes (2n = 20) has been difficult because of a lack of distinguishing characteristics. To identify all maize chromosomes, a multicolor fluorescence in situ hybridization procedure was developed. The procedure uses tandemly repeated DNA sequences to generate a distinctive banding pattern for each of the 10 chromosomes. Fluorescence in situ hybridization screening trials of nonsubtracted or subtracted PCR libraries resulted in the isolation of microsatellite 1-26-2, subtelomeric 4-12-1, and 5S rRNA 2-3-3 clones. These three probes, plus centromeric satellite 4 (Cent4), centromeric satellite C (CentC), knob, nucleolus-organizing region (NOR), pMTY9ER telomere-associated sequence, and tandemly repeated DNA sequence 1 (TR-1) were used as a mixture for hybridization to root-tip chromosomes. All 10 chromosomes were identified by the banding and color patterns in the 14 examined lines. There was significant quantitative variation among lines for the knob, microsatellite, TR-1, and CentC signals. The same probe mixture identifies meiotic pachytene, late prophase I, and metaphase I chromosomes. The procedure could facilitate the study of chromosomal structure and behavior and be adapted for other plant species.
465 citations
TL;DR: The efficiency of this mutation detection technology, called Ecotilling, is demonstrated by the discovery in 150+ individuals of 55 haplotypes in five genes, ranging from sequences differing by a single nucleotide polymorphism to those representing complex haplotypes.
Abstract: We have adapted the mutation detection technology used in Targeting Induced Local Lesions in Genomes (TILLING) to the discovery of polymorphisms in natural populations. The genomic DNA of a queried individual is mixed with a reference DNA and used to amplify a target 1-kbp region of DNA with asymmetrically labeled fluorescent primers. After heating and annealing, heteroduplexes are nicked at mismatched sites by the endonuclease CEL I and cut strands are visualized using Li-cor gel analyzers. Putative polymorphisms detected in one fluorescence channel can be verified by appearance of the opposite cut strand in the other channel. We demonstrated the efficiency of this technology, called Ecotilling, by the discovery in 150+ individuals of 55 haplotypes in five genes, ranging from sequences differing by a single nucleotide polymorphism to those representing complex haplotypes. The discovered polymorphisms were confirmed by sequencing and included base-pair changes, small insertions and deletions, and variation in microsatellite repeat number. Ecotilling allows the rapid detection of variation in many individuals and is cost effective because only one individual for each haplotype needs to be sequenced. The technology is applicable to any organism including those that are heterozygous and polyploid.
457 citations
TL;DR: A high-throughput genotyping platform that uses a one-primer assay to genotype over 10,000 SNPs per individual on a single oligonucleotide array is presented and a linkage region on chromosome 2p for chronic mucocutaneous candidiasis and thyroid disease is replicated and refined.
Abstract: The analysis of single nucleotide polymorphisms (SNPs) is increasingly utilizedto investigate the genetic causes of complex human diseases. Here we present a high-throughput genotyping platform that uses a one-primer assay to genotype over 10,000 SNPs per individual on a single oligonucleotide array. This approach uses restriction digestion to fractionate the genome, followed by amplification of a specific fractionated subset of the genome. The resulting reduction in genome complexity enables allele-specific hybridization to the array. The selection of SNPs was primarily determined by computer-predicted lengths of restriction fragments containing the SNPs, andwas further driven by strict empirical measurements of accuracy, reproducibility, andaverage call rate, which we estimate to be >9.5%, >99.9%, and>95%, respectively. With average heterozygosity of 0.38 andgenome scan resolution of 0.31 cM, the SNP array is a viable alternative to panels of microsatellites (STRs). As a demonstration of the utility of the genotyping platform in whole-genome scans, we have replicated and refined a linkage region on chromosome 2p for chronic mucocutaneous candidiasis and thyroid disease, previously identified using a panel of microsatellite (STR) markers.
TL;DR: Circulatory fetal DNA can be enriched by size selection of fragment sizes less than approximately 0.3 kb, which permits easier analysis of both paternally and maternally inherited DNA polymorphisms.
Abstract: Background: Analysis of fetal DNA in maternal plasma has recently been introduced as a new method for noninvasive prenatal diagnosis, particularly for the analysis of fetal genetic traits, which are absent from the maternal genome, e.g., RHD or Y-chromosome-specific sequences. To date, the analysis of other fetal genetic traits has been more problematic because of the overwhelming presence of maternal DNA sequences in the circulation. We examined whether different biochemical properties can be discerned between fetal and maternal circulatory DNA.
Methods: Plasma DNA was examined by agarose gel electrophoresis. The fractions of fetal and maternal DNA in size-fractionated fragments were assayed by real-time PCR. The determination of paternally and maternally inherited fetal genetic traits was examined by use of highly polymorphic chromosome-21-specific microsatellite markers.
Results: Size fractionation of circulatory DNA indicated that the major portion of cell-free fetal DNA had an approximate molecular size of <0.3 kb, whereas maternally derived sequences were, on average, considerably larger than 1 kb. Analysis of size-fractionated DNA (≤0.3 kb) from maternal plasma samples facilitated the ready detection of paternally and maternally inherited microsatellite markers.
Conclusions: Circulatory fetal DNA can be enriched by size selection of fragment sizes less than ∼0.3kb. Such selection permits easier analysis of both paternally and maternally inherited DNA polymorphisms.
TL;DR: A set of 398 simple sequence repeat markers (SSRs) have been developed and characterised for use with genetic studies of Brassica species and mapped relative to a framework of RFLP markers detected 136 loci over all 19 linkage groups of the oilseed rape genome.
Abstract: A set of 398 simple sequence repeat markers (SSRs) have been developed and characterised for use with genetic studies of Brassica species. Small-insert (250-900 bp) genomic libraries from Brassica rapa, B. nigra, B. oleracea and B. napus, highly enriched for dinucleotide and trinucleotide SSR motifs, were constructed. Screening the clones with a mixture of oligonucleotide repeat probes revealed positive hybridisation to between 75% and 90% of the clones. Of these, 1,230 were sequenced. Primer pairs were designed for 398 SSR clones, and of these, 270 (67.8%) amplified a PCR product of the expected size in their focal and/or closely related species. A further screen of 138 primers pairs that produced a PCR product in B. napus germplasm found that 86 (62.3%) revealed length polymorphisms within at least one line of a test array representing the four Brassica species. The results of this screen were used to identify 56 SSRs and were combined with 41 SSRs that had previously shown polymorphism between the parents of a B. napus mapping population. These 97 SSR markers were mapped relative to a framework of RFLP markers and detected 136 loci over all 19 linkage groups of the oilseed rape genome.
TL;DR: A comprehensive genetic map on the basis of >880,000 genotypes across the USDA MARC cattle reference families with a potential genetic resolution of 0.8 cM is developed and should accelerate fine mapping and positional cloning of genes for genetic diseases and economically important traits in cattle, as well as related livestock species, such as sheep and goat.
Abstract: A microsatellite-based high-density genetic map facilitates for fine mapping of hereditary traits of interest, characterization of meiosis, and providing a foundation for physical map construction. Here, we developed a comprehensive genetic map on the basis of >880,000 genotypes across the USDA MARC cattle reference families with a potential genetic resolution of 0.8 cM at the 95% confidence level (∼800 kb in the bovine genome). We incorporated 2325 microsatellites into the second-generation genetic map by linkage analysis based on sex-averaged two-point LOD scores (>3.0), of which 2293 were fine-mapped by multipoint linkage analysis. The new 3160-cM map comprised of 29 sex-averaged autosomal linkage groups and a sex-specific X-chromosome linkage group includes 3960 markers with 2389 positions, resulting in an average interval size of 1.4 cM. More than half (51%) of the total length of the map is covered with intervals of 2.0 cM or less, and the largest gap is a 10.2-cM interval on the X-linkage group. The new map should accelerate fine mapping and positional cloning of genes for genetic diseases and economically important traits in cattle, as well as related livestock species, such as sheep and goat.
TL;DR: A genetic map in an F2 population derived from interspecific hybrids between G. hirsutum L. cv.
Abstract: Cotton, the leading natural fiber crop, is largely produced by two primary cultivated allotetraploid species known as Upland or American cotton (Gossypium hirsutum L.) and Pima or Egyptian cotton (G. barbadense L.). The allotetraploid species diverged from each other and from their diploid progenitors (A or D genome) through selection and domestication after polyploidization. To analyze cotton AD genomes and dissect agronomic traits, we have developed a genetic map in an F2 population derived from interspecific hybrids between G. hirsutum L. cv. Acala-44 and G. barbadense L. cv. Pima S-7. A total of 392 genetic loci, including 333 amplified fragment length polymorphisms (AFLPs), 47 simple sequence repeats (SSRs), and 12 restriction fragment length polymorphisms (RFLPs), were mapped in 42 linkage groups, which span 3,287 cM and cover approximately 70% of the genome. Using chromosomal aneuploid interspecific hybrids and a set of 29 RFLP and SSR framework markers, we assigned 19 linkage groups involving 223 loci to 12 chromosomes. Comparing four pairs of homoeologous chromosomes, we found that with one exception linkage distances in the A-subgenome chromosomes were larger than those in their D-subgenome homoeologues, reflecting higher recombination frequencies and/or larger chromosomes in the A subgenome. Segregation distortion was observed in 30 out of 392 loci mapped in cotton. Moreover, approximately 29% of the RFLPs behaved as dominant loci, which may result from rapid genomic changes. The cotton genetic map was used for quantitative trait loci (QTL) analysis using composite interval mapping and permutation tests. We detected seven QTLs for six fiber-related traits; five of these were distributed among A-subgenome chromosomes, the genome donor of fiber traits. The detection of QTLs in both the A subgenome in this study and the D subgenome in a previous study suggests that fiber-related traits are controlled by the genes in homoeologous genomes, which are subjected to selection and domestication. Some chromosomes contain clusters of QTLs and presumably contribute to the large amount of phenotypic variation that is present for fiber-related traits.
TL;DR: The utility of a dense SNP map for performing linkage analysis in a late-age-at-onset disease, where DNA from parents is not always available is demonstrated, substantially reducing the resource requirement for gene-mapping studies.
Abstract: Despite the theoretical evidence of the utility of single-nucleotide polymorphisms (SNPs) for linkage analysis, no whole-genome scans of a complex disease have yet been published to directly compare SNPs with microsatellites. Here, we describe a whole-genome screen of 157 families with multiple cases of rheumatoid arthritis (RA), performed using 11,245 genomewide SNPs. The results were compared with those from a 10-cM microsatellite scan in the same cohort. The SNP analysis detected HLA*DRB1, the major RA susceptibility locus (P=.00004), with a linkage interval of 31 cM, compared with a 50-cM linkage interval detected by the microsatellite scan. In addition, four loci were detected at a nominal significance level (P<.05) in the SNP linkage analysis; these were not observed in the microsatellite scan. We demonstrate that variation in information content was the main factor contributing to observed differences in the two scans, with the SNPs providing significantly higher information content than the microsatellites. Reducing the number of SNPs in the marker set to 3,300 (1-cM spacing) caused several loci to drop below nominal significance levels, suggesting that decreases in information content can have significant effects on linkage results. In contrast, differences in maps employed in the analysis, the low detectable rate of genotyping error, and the presence of moderate linkage disequilibrium between markers did not significantly affect the results. We have demonstrated the utility of a dense SNP map for performing linkage analysis in a late-age-at-onset disease, where DNA from parents is not always available. The high SNP density allows loci to be defined more precisely and provides a partial scaffold for association studies, substantially reducing the resource requirement for gene-mapping studies.
TL;DR: A large number of new, highly polymorphic Y-chromosomal microsatellites are now available for population-genetic, evolutionary, genealogical, and forensic investigations.
Abstract: We have screened the nearly complete DNA sequence of the human Y chromosome for microsatellites (short tandem repeats) that meet the criteria of having a repeat-unit size of ⩾3 and a repeat count of ⩾8 and thus are likely to be easy to genotype accurately and to be polymorphic. Candidate loci were tested in silico for novelty and for probable Y specificity, and then they were tested experimentally to identify Y-specific loci and to assess their polymorphism. This yielded 166 useful new Y-chromosomal microsatellites, 139 of which were polymorphic, in a sample of eight diverse Y chromosomes representing eight Y-SNP haplogroups. This large sample of microsatellites, together with 28 previously known markers analyzed here—all sharing a common evolutionary history—allowed us to investigate the factors influencing their variation. For simple microsatellites, the average repeat count accounted for the highest proportion of repeat variance (∼34%). For complex microsatellites, the largest proportion of the variance (again, ∼34%) was explained by the average repeat count of the longest homogeneous array, which normally is variable. In these complex microsatellites, the additional repeats outside the longest homogeneous array significantly increased the variance, but this was lower than the variance of a simple microsatellite with the same total repeat count. As a result of this work, a large number of new, highly polymorphic Y-chromosomal microsatellites are now available for population-genetic, evolutionary, genealogical, and forensic investigations.
TL;DR: Variable number of tandem repeats (VNTRs) evolve 100–1000 times faster than scnDNA and provide a powerful tool for analyzing recent and contemporary events and DNA fingerprinting is powerful for distinguishing ESUs, MUs, AUs, and FNs.
Abstract: Conservation genetics focuses on the effects of contemporary genetic structuring on long-term survival of a species. It helps wildlife managers protect biodiversity by identifying a series of conservation units, which include species, evolutionarily significant units (ESUs), management units (MUs), action units (AUs), and family nets (FNs). Although mitochondrial DNA (mtDNA) evolves 5–10 times faster than single-copy nuclear DNA (scnDNA), it records few traces of contemporary events. Thus, mtDNA can be used to resolve taxonomic uncertainties and ESUs. Variable number of tandem repeats (VNTRs) evolve 100–1000 times faster than scnDNA and provide a powerful tool for analyzing recent and contemporary events. VNTR analysis techniques include polymerase chain reaction (PCR)-based microsatellite assays and oligonucleotide probing. Size homoplasy problems in PCR-based microsatellite assays can strongly affect the inference of recent population history. The high homozygosity in endangered species is reflected in a relatively low number and level of variability in microsatellite loci. This combined with “allelic dropout” and “misprinting” errors contributes to the generation of highly biased genetic data following analyses of natural populations. Thus, in conservation genetics, microsatellites are of limited use for identifying ESUs, MUs, and AUs. In contrast to PCR-based microsatellite analysis, oligonucleotide probing avoids errors resulting from PCR amplification. It is particularly suitable for inferring recent population history and contemporary gene flow between fragmented subpopulations. Oligonucleotide fingerprinting generates individual-specific DNA banding patterns and thus provides a highly precise tool for monitoring demography of natural populations. Hence, DNA fingerprinting is powerful for distinguishing ESUs, MUs, AUs, and FNs. The use of oligonucleotide fingerprinting and fecal DNA is opening new areas for conservation genetics.
TL;DR: The presence of a total of 466 microsatellite loci now provides wide coverage of the genome of tetraploid cotton and thus represents a powerful means for the production of a consensus map and for the effective tracking of QTLs.
Abstract: Microsatellite [simple-sequence repeat (SSR)] markers were developed and positioned on the genetic map of tetraploid cotton. Three hundred and ninety-two unique microsatellite sequences, all but two containing a (CA/GT) repeat, were isolated, and the deduced primers were used to screen for polymorphism between the Gossypium hirsutum and G. barbadense parents of the mapping population analyzed in our laboratory. The observed rate of polymorphism was 56%. The 204 polymorphic SSRs revealed 261 segregating bands, which ultimately gave rise to 233 mapped loci. The updated status of our genetic map is now of 1,160 loci and 5,519 cM, with an average distance between two loci of 4.8 cM. The presence of a total of 466 microsatellite loci, with an average distance of 12 cM between two SSR loci, now provides wide coverage of the genome of tetraploid cotton and thus represents a powerful means for the production of a consensus map and for the effective tracking of QTLs.
TL;DR: The high mean number of alleles per polymorphic locus, combined with their relative frequency in the genome and amenability to probing, make ATT and GA the most useful and appropriate motifs to target to generate further SSR markers for peanut.
Abstract: A major constraint to the application of biotechnology to the improvement of the allotetraploid peanut, or groundnut (Arachis hypogaea L.), has been the paucity of polymorphism among germplasm lines using biochemical (seed proteins, isozymes) and DNA markers (RFLPs and RAPDs). Six sequence-tagged microsatellite (STMS) markers were previously available that revealed polymorphism in cultivated peanut. Here, we identify and characterize 110 STMS markers that reveal genetic variation in a diverse array of 24 peanut landraces. The simple-sequence repeats (SSRs) were identified with a probe of two 27,648-clone genomic libraries: one constructed using PstI and the other using Sau3AI/BamHI. The most frequent, repeat motifs identified were ATT and GA, which represented 29% and 28%, respectively, of all SSRs identified. These were followed by AT, CTT, and GT. Of the amplifiable primers, 81% of ATT and 70.8% of GA repeats were polymorphic in the cultivated peanut test array. The repeat motif AT showed the maximum number of alleles per locus (5.7). Motifs ATT, GT, and GA had a mean number of alleles per locus of 4.8, 3.8, and 3.6, respectively. The high mean number of alleles per polymorphic locus, combined with their relative frequency in the genome and amenability to probing, make ATT and GA the most useful and appropriate motifs to target to generate further SSR markers for peanut.
TL;DR: The MAC-PR method was able to assign precise allelic configurations to almost all of the varieties analysed for five of the six loci investigated, and appears to be a very effective tool for detecting ‘null’ alleles in polyploid species.
Abstract: Polysomic inheritance frequently results in the simultaneous occurrence of several microsatellite DNA alleles on a single locus. The MAC-PR (microsatellite DNA allele counting—peak ratios) method was recently developed for the analysis of polyploid plants and makes use of the quantitative values for microsatellite allele peak areas. To date, this approach has only been used in plants with known genetic relationships. We report here the application of MAC-PR for the first time to random samples of unknown pedigrees. We analysed six microsatellite loci using a set of tetraploid ornamental rose (Rosa × hybrida L.) varieties. For each locus, all alleles were analysed in pairwise combinations in order to determine their copy number in the individual samples. This was accomplished by calculating the ratios between the peak areas for two alleles in all of the samples where these two alleles occurred together. The allele peak ratios observed were plotted in a histogram, and those histograms that produced at least two well-separated groups were selected for further analysis. Mean allelic peak ratio values for these groups were compared to the relationships expected between alleles in hypothetical configurations of the locus investigated. Using this approach, we were able to assign precise allelic configurations (the actual genotype) to almost all of the varieties analysed for five of the six loci investigated. MAC-PR also appears to be a very effective tool for detecting ‘null’ alleles in polyploid species.
TL;DR: Microsatellite sequences from expressed sequence tags transcribed during fiber elongation in the A-genome species Gossypium arboreum were sampled to evaluate their frequency of occurrence, level of polymorphism and distribution in the At and Dt subgenomes of tetraploid cotton.
Abstract: To increase the numbers of microsatellites available for use in constructing a genetic map, and facilitate the use of functional genomics to elucidate fiber development and breeding in cotton, we sampled microsatellite sequences from expressed sequence tags (ESTs) transcribed during fiber elongation in the A-genome species Gossypium arboreum to evaluate their frequency of occurrence, level of polymorphism and distribution in the At and Dt subgenomes of tetraploid cotton From among ESTs derived from G arboreum fibers at 7-10 days post anthesis (dpa), 931 ESTs were found to contain simple sequence repeats (SSRs); 544 (584%) EST-SSR primer pairs were developed, and 468 (86%) amplified PCR products from allotetraploid cotton (G hirsutumcv TM-1 and G barbadense cv Hai7124) However, only 99 (182%) of these were found to be polymorphic and segregating in our interspecific BC1 mapping population [(TM-1xHai7124)xTM-1] In these amplified and informative EST-SSRs, hexa- and tri-nucleotide repeat motifs were the most frequent, representing 401 and 30%, respectively, of the total A total of 111 loci detected with these 99 EST-SSRs were integrated into our backbone map including 511 SSR loci The distribution of the EST-SSRs appeared to be non-random, since 72 loci were anchored to the At and 37 to the Dt subgenome of allotetraploid cotton based on linkage tests Interestingly, out of the 10 pairs of duplicate loci amplified, seven were mapped to the corresponding homologous linkage groups and/or chromosomes BLASTX analysis revealed that 69 of the 99 ESTs showed significant similarities to known genes Some genes important for fiber development, such as sucrose synthase, were mapped to corresponding chromosomes These EST-SSRs provide structural and functional genomic information that will be useful for understanding cotton fiber development
TL;DR: The AMG real-time PCR design has been used to quantify a set of 57 DNA samples from 4-5 years old forensic bone remains with improved sensitivity compared with the slot-blot hybridization method.
TL;DR: These are the first linkage maps for a bivalve mollusc that use microsatellite DNA markers, which should enable them to be transferred to other families and to be useful for further genetic analyses such as QTL mapping.
Abstract: We constructed male and female consensus linkage maps for the Pacific oyster Crassostrea gigas, using a total of 102 microsatellite DNA markers typed in 11-day-old larvae from three families. We identified 11 and 12 linkage groups in the male and female consensus maps, respectively. Alignment of these separate maps, however, suggests 10 linkage groups, which agrees with the haploid chromosome number. The male linkage map comprises 88 loci and spans 616.1 cM, while the female map comprises 86 loci and spans 770.5 cM. The male and the female maps share 74 loci; 2 markers remain unlinked. The estimated coverages for the consensus linkage maps are 79% for the male and 70–75% for the female, on the basis of two estimates of genome length. Ninety-five percent of the genome is expected to lie within 16 and 21 cM of markers on the male and female maps, respectively, while 95% of simulated minimum distances to the male and female maps are within 10.1 and 13.6 cM, respectively. Females have significantly more recombination than males, across 118 pairs of linked markers in common to the parents of the three families. Significant differences in recombination and orders of markers are also evident among same-sex parents of different families as well as sibling parents of opposite sex. These observations suggest that polymorphism for chromosomal rearrangements may exist in natural populations, which could have profound implications for interpreting the evolutionary genetics of the oyster. These are the first linkage maps for a bivalve mollusc that use microsatellite DNA markers, which should enable them to be transferred to other families and to be useful for further genetic analyses such as QTL mapping.
TL;DR: The results suggest the possibility of a genetically discrete population in the eastern basin of the Mediterranean Sea of young‐of‐the‐year Atlantic bluefin tuna.
Abstract: Genetic variation was surveyed at nine microsatellite loci and the mitochondrial control region (868 bp) to test for the presence of genetic stock structure in young-of-the-year Atlantic bluefin tuna (Thunnus thynnus thynnus) from the Mediterranean Sea. Bluefin tuna were sampled over a period of 5 years from the Balearic and Tyrrhenian seas in the western basin of the Mediterranean Sea, and from the southern Ionian Sea in the eastern basin of the Mediterranean Sea. Analyses of multilocus microsatellite genotypes and mitochondrial control region sequences revealed no significant heterogeneity among collections taken from the same location in different years; however, significant spatial genetic heterogeneity was observed across all samples for both microsatellite markers and mitochondrial control region sequences (FST=0.0023, P=0.038 and PhiST=0.0233, P=0.000, respectively). Significant genetic differentiation between the Tyrrhenian and Ionian collections was found for both microsatellite and mitochondrial markers (FST=0.0087, P=0.015 and PhiST=0.0367, P=0.030, respectively). These results suggest the possibility of a genetically discrete population in the eastern basin of the Mediterranean Sea.
TL;DR: It is proposed that the low genetic differentiation among these species results from shared ancestry rather than high rates of gene flow.
Abstract: Quercus petraea and Quercus robur are two closely related oak species, considered to hybridize. Genetic markers, however, indicate that despite sharing most alleles, the two species remain separate genetic units. Analysis of 20 microsatellite loci in multiple populations from both species suggested a genome-wide differentiation. Thus, the allele sharing between both species could be explained either by low rates of gene flow or shared ancestral variation. We performed further analyses of population differentiation in a biogeographical setting and an admixture analysis in mixed oak stands to distinguish between both hypotheses. Based on our results we propose that the low genetic differentiation among these species results from shared ancestry rather than high rates of gene flow.
TL;DR: Several microsatellite flanking regions showed high similarity to one another among different microsatellites within a same species, but very few similarities were found between species.
Abstract: Microsatellite flanking regions have been compared in two butterfly species. Several microsatellite flanking regions showed high similarity to one another among different microsatellites within a same species, but very few similarities were found between species. This can be the consequence of either duplication/multiplication events involving large regions containing microsatellites or of microsatellites imbedded in minisatellite regions. The multiplication of microsatellites might also be linked to mobile elements. Furthermore, crossing over between nonhomologous microsatellites can lead to the exchange of the flanking regions between microsatellites. The same phenomenon was observed in both studied butterfly species but not in Aphis fabae (Hemiptera), which was screened at the same time using the same protocol. These findings might explain, at least partially, why microsatellite isolation in Lepidoptera has been relatively unsuccessful so far.
TL;DR: Two new markers are polymorphic in the narrow crosses characteristic of applied breeding programs and appear to be ideally suited for marker assisted selection for blast resistance in rice because of their tight linkage with resistance genes and ease of use through analysis of amplification products.
Abstract: Rice blast, caused by the fungus Pyricularia grisea (Cooke) Sacc., is a serious rice (Oryza sativa L.)disease causing considerable economic damage worldwide. DNA markers for rice blast resistance have been developed, but most are not suitable for routine use in a marker-assisted selection breeding program involving large numbers of progeny. After identifying candidate microsatellite markers from public database sources, we have mapped these markers near the blast resistance genes Pi-b, Pi-k, and Pi-ta 2 on rice chromosomes 2, 11, and 12, respectively, using segregation information from hundreds of progeny in several crosses. Two microsatellite markers, RM208 and RM224, were found to cosegregate with the Pi-b and Pi-k genes, respectively, while additional microsatellites were found to closely flank these two genes and the Pi-ta 2 gene. The new markers are polymorphic in the narrow crosses characteristic of applied breeding programs and appear to be ideally suited for marker assisted selection for blast resistance in rice because of their tight linkage with resistance genes and ease of use through analysis of amplification products. A dominant marker indicating the presence of the Pi-b gene, Pibdom, has also been developed on the basis of the sequence of the cloned Pi-b gene. These markers should facilitate the introgression and pyramiding of these three blast resistance genes into new rice cultivars and elite lines.
TL;DR: It is concluded that at least some of the linkage peaks identified may have been largely undetected in previous whole-genome scans for bipolar disorder because of insufficient coverage or information content, particularly on chromosomes 6q22 and 11p11.
Abstract: We performed a linkage analysis on 25 extended multiplex Portuguese families segregating for bipolar disorder, by use of a high-density single-nucleotide–polymorphism (SNP) genotyping assay, the GeneChip Human Mapping 10K Array (HMA10K). Of these families, 12 were used for a direct comparison of the HMA10K with the traditional 10-cM microsatellite marker set and the more dense 4-cM marker set. This comparative analysis indicated the presence of significant linkage peaks in the SNP assay in chromosomal regions characterized by poor coverage and low information content on the microsatellite assays. The HMA10K provided consistently high information and enhanced coverage throughout these regions. Across the entire genome, the HMA10K had an average information content of 0.842 with 0.21-Mb intermarker spacing. In the 12-family set, the HMA10K-based analysis detected two chromosomal regions with genomewide significant linkage on chromosomes 6q22 and 11p11; both regions had failed to meet this strict threshold with the microsatellite assays. The full 25-family collection further strengthened the findings on chromosome 6q22, achieving genomewide significance with a maximum nonparametric linkage (NPL) score of 4.20 and a maximum LOD score of 3.56 at position 125.8 Mb. In addition to this highly significant finding, several other regions of suggestive linkage have also been identified in the 25-family data set, including two regions on chromosome 2 (57 Mb, NPL = 2.98; 145 Mb, NPL = 3.09), as well as regions on chromosomes 4 (91 Mb, NPL = 2.97), 16 (20 Mb, NPL = 2.89), and 20 (60 Mb, NPL = 2.99). We conclude that at least some of the linkage peaks we have identified may have been largely undetected in previous whole-genome scans for bipolar disorder because of insufficient coverage or information content, particularly on chromosomes 6q22 and 11p11.
TL;DR: A framework linkage map based on microsatellite markers for Vitis vinifera L., the European wine grape, which has been adopted as a reference map for the International Grape Genome Program.
Abstract: We have constructed a framework linkage map based on microsatellite markers for Vitis vinifera L., the European wine grape. The mapping population consisted of 153 progeny plants from a cross of Vitis vinifera cvs. Riesling × Cabernet Sauvignon. One hundred fifty-two microsatellite markers and one polymorphic EST marker have been mapped to 20 linkage groups (2n=38). The map covers 1,728 cM with an average distance between markers of 11.0 cM. Estimates of genome size, expected genome coverage, and observed genome coverage were determined with 135–140 markers. Genome length estimates differed between paternal and maternal data sets. Observed approximate genome coverage was 65% versus an expected coverage of 90%. Meiotic recombination rates were not significantly different between maternal and paternal parents. This map has been adopted as a reference map for the International Grape Genome Program.