Sequence-tagged-site (STS) markers of arbitrary genes: development, characterization and analysis of linkage in black spruce.
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ABSTRACT:
SUBMITTER: Perry DJ
PROVIDER: S-EPMC1460214 | biostudies-other | 1998 Jun
REPOSITORIES: biostudies-other
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Project description:A detailed genetic linkage map of Brassica rapa has been constructed containing 545 sequence-tagged loci covering 1287 cM, with an average mapping interval of 2.4 cM. The loci were identified using a combination of 520 RFLP and 25 PCR-based markers. RFLP probes were derived from 359 B. rapa EST clones and amplification products of 11 B. rapa and 26 Arabidopsis. Including 21 SSR markers provided anchors to previously published linkage maps for B. rapa and B. napus and is followed as the referenced mapping of R1-R10. The sequence-tagged markers allowed interpretation of the pattern of chromosome duplications within the B. rapa genome and comparison with Arabidopsis. A total of 62 EST markers showing a single RFLP band were mapped through 10 linkage groups, indicating that these can be valuable anchoring markers for chromosome-based genome sequencing of B. rapa. Other RFLP probes gave rise to 2-5 loci, inferring that B. rapa genome duplication is a general phenomenon through 10 chromosomes. The map includes five loci of FLC paralogues, which represent the previously reported BrFLC-1, -2, -3, and -5 and additionally identified BrFLC3 paralogues derived from local segmental duplication on R3.
| S-EPMC1569789 | biostudies-literature
Project description:BackgroundGenetic maps provide an important genomic resource for understanding genome organization and evolution, comparative genomics, mapping genes and quantitative trait loci, and associating genomic segments with phenotypic traits. Spruce (Picea) genomics work is quite challenging, mainly because of extremely large size and highly repetitive nature of its genome, unsequenced and poorly understood genome, and the general lack of advanced-generation pedigrees. Our goal was to construct a high-density genetic linkage map of black spruce (Picea mariana, 2n = 24), which is a predominant, transcontinental species of the North American boreal and temperate forests, with high ecological and economic importance.ResultsWe have developed a near-saturated and complete genetic linkage map of black spruce using a three-generation outbred pedigree and amplified fragment length polymorphism (AFLP), selectively amplified microsatellite polymorphic loci (SAMPL), expressed sequence tag polymorphism (ESTP), and microsatellite (mostly cDNA based) markers. Maternal, paternal, and consensus genetic linkage maps were constructed. The maternal, paternal, and consensus maps in our study consistently coalesced into 12 linkage groups, corresponding to the haploid chromosome number (1n = 1x = 12) of 12 in the genus Picea. The maternal map had 816 and the paternal map 743 markers distributed over 12 linkage groups each. The consensus map consisted of 1,111 markers distributed over 12 linkage groups, and covered almost the entire (> 97%) black spruce genome. The mapped markers included 809 AFLPs, 255 SAMPL, 42 microsatellites, and 5 ESTPs. Total estimated length of the genetic map was 1,770 cM, with an average of one marker every 1.6 cM. The maternal, paternal and consensus genetic maps aligned almost perfectly.ConclusionWe have constructed the first high density to near-saturated genetic linkage map of black spruce, with greater than 97% genome coverage. Also, this is the first genetic map based on a three-generation outbred pedigree in the genus Picea. The genome length in P. mariana is likely to be about 1,800 cM. The genetic maps developed in our study can serve as a reference map for various genomics studies and applications in Picea and Pinaceae.
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Project description:The genetic control of self-incompatibility (SI) has been recently disclosed in olive. Inter-varietal crossing confirmed the presence of only two incompatibility groups (G1 and G2), suggesting a simple Mendelian inheritance of the trait. A double digest restriction associated DNA (ddRAD) sequencing of a biparental population segregating for incompatibility groups has been performed and high-density linkage maps were constructed in order to map the SI locus and identify gene candidates and linked markers. The progeny consisted of a full-sib family of 229 individuals derived from the cross 'Leccino' (G1) × 'Dolce Agogia' (G2) varieties, segregating 1:1 (G1:G2), in accordance with a diallelic self-incompatibility (DSI) model. A total of 16,743 single nucleotide polymorphisms was identified, 7,006 in the female parent 'Leccino' and 9,737 in the male parent 'Dolce Agogia.' Each parental map consisted of 23 linkage groups and showed an unusual large size (5,680 cM in 'Leccino' and 3,538 cM in 'Dolce Agogia'). Recombination was decreased across all linkage groups in pollen mother cells of 'Dolce Agogia,' the parent with higher heterozygosity, compared to megaspore mother cells of 'Leccino,' in a context of a species that showed exceptionally high recombination rates. A subset of 109 adult plants was assigned to either incompatibility group by a stigma test and the diallelic self-incompatibility (DSI) locus was mapped to an interval of 5.4 cM on linkage group 18. This region spanned a size of approximately 300 Kb in the olive genome assembly. We developed a sequence-tagged site marker in the DSI locus and identified five haplotypes in 57 cultivars with known incompatibility group assignment. A combination of two single-nucleotide polymorphisms (SNPs) was sufficient to predict G1 or G2 phenotypes in olive cultivars, enabling early marker-assisted selection of compatible genotypes and allowing for a rapid screening of inter-compatibility among cultivars in order to guarantee effective fertilization and increase olive production. The construction of high-density linkage maps has led to the development of the first functional marker in olive and provided positional candidate genes in the SI locus.
| S-EPMC7025539 | biostudies-literature
Project description:Here, we present the chloroplast genome sequence of black spruce (Picea mariana), a conifer widely distributed throughout North American boreal forests. This complete and annotated chloroplast sequence is 123,961 bp long and will contribute to future studies on the genetic basis of evolutionary change in spruce and adaptation in conifers.
| S-EPMC7516155 | biostudies-literature
Project description:BackgroundMicrosatellites or simple sequence repeats (SSRs) are highly informative molecular markers for various biological studies in plants. In spruce (Picea) and other conifers, the development of single-copy polymorphic genomic microsatellite markers is quite difficult, owing primarily to the large genome size and predominance of repetitive DNA sequences throughout the genome. We have developed highly informative single-locus genomic microsatellite markers in black spruce (Picea mariana) and red spruce (Picea rubens) using a simple but efficient method based on a combination of AFLP and microsatellite technologies.Principal findingsA microsatellite-enriched library was constructed from genomic AFLP DNA fragments of black spruce. Sequencing of the 108 putative SSR-containing clones provided 94 unique sequences with microsatellites. Twenty-two of the designed 34 primer pairs yielded scorable amplicons, with single-locus patterns. Fourteen of these microsatellite markers were characterized in 30 black spruce and 30 red spruce individuals drawn from many populations. The number of alleles at a polymorphic locus ranged from 2 to 18, with a mean of 9.3 in black spruce, and from 3 to 15, with a mean of 6.2 alleles in red spruce. The polymorphic information content or expected heterozygosity ranged from 0.340 to 0.909 (mean = 0.67) in black spruce and from 0.161 to 0.851 (mean = 0.62) in red spruce. Ten SSR markers showing inter-parental polymorphism inherited in a single-locus Mendelian mode, with two cases of distorted segregation. Primer pairs for almost all polymorphic SSR loci resolved microsatellites of comparable size in Picea glauca, P. engelmannii, P. sitchensis, and P. abies.SignificanceThe AFLP-based microsatellite-enriched library appears to be a rapid, cost-effective approach for isolating and developing single-locus informative genomic microsatellite markers in black spruce. The markers developed should be useful in black spruce, red spruce and other Picea species for various genetics, genomics, breeding, forensics, conservation studies and applications.
| S-EPMC4134192 | biostudies-literature
Project description:Blastocystis is the most common nonfungal microeukaryote of the human intestinal tract and comprises numerous subtypes (STs), nine of which have been found in humans (ST1 to ST9). While efforts continue to explore the relationship between human health status and subtypes, no consensus regarding subtyping methodology exists. It has been speculated that differences detected in subtype distribution in various cohorts may to some extent reflect different approaches. Blastocystis subtypes have been determined primarily in one of two ways: (i) sequencing of small subunit rRNA gene (SSU-rDNA) PCR products and (ii) PCR with subtype-specific sequence-tagged-site (STS) diagnostic primers. Here, STS primers were evaluated against a panel of samples (n = 58) already subtyped by SSU-rDNA sequencing (barcode region), including subtypes for which STS primers are not available, and a small panel of DNAs from four other eukaryotes often present in feces (n = 18). Although the STS primers appeared to be highly specific, their sensitivity was only moderate, and the results indicated that some infections may go undetected when this method is used. False-negative STS results were not linked exclusively to certain subtypes or alleles, and evidence of substantial genetic variation in STS loci was obtained. Since the majority of DNAs included here were extracted from feces, it is possible that STS primers may generally work better with DNAs extracted from Blastocystis cultures. In conclusion, due to its higher applicability and sensitivity, and since sequence information is useful for other forms of research, SSU-rDNA barcoding is recommended as the method of choice for Blastocystis subtyping.
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Project description:Anthracnose, caused by Colletotrichum spp. is the most devastating disease of chili (Capsicum annuum) in the tropical and subtropical regions of the world. The present study aimed at molecular mapping and development of markers linked to a new gene for anthracnose resistance in the chili cultivar 'Punjab Lal'. Phenotypic evaluation of F1, F2, and BC1F1 populations derived from a cross between 'Punjab Lal' and susceptible cultivar 'Arka Lohit' against a virulent isolate of C. truncatum revealed that anthracnose resistance in Punjab Lal is governed by a monogenic-dominant gene designated as RCt1. Forty-four (28 ISSRs and 16 AFLPs) out of 201 markers exhibited parental polymorphism and were used in bulk segregant analysis. Three ISSRs (ISSR411493, ISSR581485, and ISSR1121857) and one AFLP marker (E-ACA/M-CTG516) showed precise polymorphism between resistant and susceptible bulks, and were used for genotyping F2 and BC1 populations. The four putative fragments were converted into sequence-tagged site (STS) markers and southern blotting confirmed their association with the resistance locus. Molecular mapping revealed that the STS markers CtR-431 and CtR-594 were closely linked to the RCt1 locus in coupling at distances of 1.8 and 2.3 cM, respectively. Furthermore, both of these markers showed the presence of resistance-linked allele in seven genotypes including the highly resistant C. chinnese 'PBC932' and C. baccatum 'PBC80' while negatively validated in 32 susceptible genotypes. Therefore, CtR431 and CtR-594 could be recommended as efficient diagnostic markers to facilitate the introgression of RCt1 locus into susceptible chili variants towards the development of high-yielding anthracnose resistance genotypes in C. annuum background.
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Project description:In plants, knowledge about linkage disequilibrium (LD) is relevant for the design of efficient single-nucleotide polymorphism arrays in relation to their use in population and association genomics studies. Previous studies of conifer genes have shown LD to decay rapidly within gene limits, but exceptions have been reported. To evaluate the extent of heterogeneity of LD among conifer genes and its potential causes, we examined LD in 105 genes of white spruce (Picea glauca) by sequencing a panel of 48 haploid megagametophytes from natural populations and further compared it with LD in other conifer species. The average pairwise r(2) value was 0.19 (s.d.=0.19), and LD dropped quickly with a half-decay being reached at a distance of 65 nucleotides between sites. However, LD was significantly heterogeneous among genes. A first group of 29 genes had stronger LD (mean r(2)=0.28), and a second group of 38 genes had weaker LD (mean r(2)=0.12). While a strong relationship was found with the recombination rate, there was no obvious relationship between LD and functional classification. The level of nucleotide diversity, which was highly heterogeneous across genes, was also not significantly correlated with LD. A search for selection signatures highlighted significant deviations from the standard neutral model, which could be mostly attributed to recent demographic changes. Little evidence was seen for hitchhiking and clear relationships with LD. When compared among conifer species, on average, levels of LD were similar in genes from white spruce, Norway spruce and Scots pine, whereas loblolly pine and Douglas fir genes exhibited a significantly higher LD.
| S-EPMC3282396 | biostudies-literature
Project description:BackgroundPedigree studies of complex heritable diseases often feature nominal or ordinal phenotypic measurements and missing genetic marker or phenotype data.MethodologyWe have developed a Bayesian method for Linkage analysis of Ordinal and Categorical traits (LOCate) that can analyze complex genealogical structure for family groups and incorporate missing data. LOCate uses a Gibbs sampling approach to assess linkage, incorporating a simulated tempering algorithm for fast mixing. While our treatment is Bayesian, we develop a LOD (log of odds) score estimator for assessing linkage from Gibbs sampling that is highly accurate for simulated data. LOCate is applicable to linkage analysis for ordinal or nominal traits, a versatility which we demonstrate by analyzing simulated data with a nominal trait, on which LOCate outperforms LOT, an existing method which is designed for ordinal traits. We additionally demonstrate our method's versatility by analyzing a candidate locus (D2S1788) for panic disorder in humans, in a dataset with a large amount of missing data, which LOT was unable to handle.ConclusionLOCate's accuracy and applicability to both ordinal and nominal traits will prove useful to researchers interested in mapping loci for categorical traits.
| S-EPMC2928726 | biostudies-literature
Project description:SummarySimulated sequence alignments are frequently used to test bioinformatics tools, but current sequence simulators are limited to defined state spaces. Here, we present the COMPletely Arbitrary Sequence Simulator (COMPASS), which is able to simulate the evolution of absolutely any discrete state space along a tree, for any form of time-reversible model.Availability and implementationCOMPASS is implemented in Python 2.7, and is freely available for all platforms with the Supplementary Information, as well as at http://labs.carleton.ca/eme/software-and-data.Contactalex_wong@carleton.ca.Supplementary informationSupplementary data are available at Bioinformatics online.
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