Detection Of Simple Sequence Repeats Research Articles

Development of Genome-wide Simple Sequence Repeat Markers from Whole-genome Sequence of Mungbean (Vigna radiata)

Background: Mungbean is an important pulse crop and it is mainly cultivated in Asia for human consumption. Its small genome and diploid nature make it a well-suited model organism among legume crops. Thus, cost-effective, reliable and highly polymorphic molecular markers distributing the whole genome are needed for diversity, mapping and functional genomics studies in this model species. Methods: The whole-genome sequence of mungbean was obtained and used as a source of identification of simple sequence repeats (SSR). The sequence reads were aligned and SSRs detection was performed using the Phobos plugin tandem repeat finder in the Geneious software program. A total of 12 mungbean genotypes were selected to validate the newly developed SSR markers. Result: In the present study, a total of 12, 49,774 and 11, 86, 386 perfect and imperfect SSR repeats were identified from the mungbean genome. The tri-repeats were the most abundant (26.10%), followed by hexa (20.82%), penta (20.45%), tetra (17.65%) and di-repeats (14.95%). We designed 1330 SSR primers based on the genomic sequence of flanking perfect SSRs (Di and tri-repeats). Among them, 50 SSR primers uniformly distributed across the 11 mungbean chromosomes were selected and used to validate 12 mungbean genotypes. The newly developed genomic SSR markers generated in the present study are a valuable genomic resource for the mungbean breeding programs.

De Novo Assembled Transcriptome Analysis and Identification of Genic SSR Markers in Red-Flowered Strawberry.

Red-flowered strawberry is a new ornamental flower derived from intergeneric hybridization (Fragaria × Potentilla). To date, few molecular markers have been reported for this plant. RNA sequencing provides a relatively fast and low-cost approach for large-scale detection of simple sequence repeats (SSRs). In the present study, we profiled the transcriptome of red-flowered strawberry by Illumina HiSeq 2500 to identify SSRs related to petal color. Based on 2 million clean reads of red and white flowers from red-flowered strawberry hybrids, we assembled 91,835 unigenes with an average length of 717bp. After functional annotation and prediction, there were 47,058 unigenes; of these, 26,861 had a gene ontology annotation, with 14,264 SSR loci. Mononucleotide SSRs were the predominant repeat type (47.20%, n = 6724), followed by di- (32.50%, n = 4641), tri- (19.10%, n = 2729), tetra- (0.90%, n = 132), hexa- (0.2%, n = 21), and penta- (0.10%, n = 16) nucleotide repeats. The most frequent di-, tri-, and tetra-nucleotide repeats were AG/CT, AAG/CTT, and AAAG/CTTT, respectively. PCR amplification with 105 SSR primer pairs yielded four bands specific to red flowers, namely UgRFsr57622, UgRFsr94149, UgRFsr40142, and UgRFsr54608; corresponding 4 trait-specific markers were found to co-segregate with white and red flower color in hybrid population, demonstrating that the genic SSR marker is useful to discriminate between white and red flowers in strawberry. Markers to discriminate flower color in red-flowered strawberry will be useful for early selection of progeny and for breeding management.

A new, harmless, high-throughput endosperm-based DNA extraction method for wheat

ABSTRACT: In this study, a non-destructive, high-throughput, endosperm-based DNA extraction method was developed. To verify the non-destructive nature of this method, a germination test was performed on 288 seeds after sampling their endosperm, which gave a seedling emergence rate that was higher (97.6%) than that of the control group (92%). To confirm the feasibility of the new method, DNA was extracted from plants of a BC1F2 population by two different methods, namely, from endosperm using our rapid, high-throughput method (ER-DNA) and from young leaves emerging from the same sampled seed using the CTAB method (LC-DNA). The ER-DNA was undetectable by agarose gel electrophoresis, but was found to be an adequate replacement for LC-DNA for the amplification and detection of simple sequence repeats (SSRs). Further analysis revealed that ER-DNA was generally suitable for the generation of specific 500-750-bp fragments, but not for the amplification of 1,000-2,000-bp fragments. Our rapid, high-throughput method therefore has no deleterious effects on wheat seeds and yields DNA for SSR genotyping that is a suitable alternative to traditionally obtained DNA.

A Fast Silver Staining Protocol Enabling Simple and Efficient Detection of SSR Markers using a Non-denaturing Polyacrylamide Gel.

Simple Sequence Repeat (SSR) is one of the most effective markers used in plant and animal genetic research and molecular breeding programs. Silver staining is a widely used method for the detection of SSR markers in a polyacrylamide gel. However, conventional protocols for silver staining are technically demanding and time-consuming. Like many other biological laboratory techniques, silver staining protocols have been steadily optimized to improve detection efficiency. Here, we report a simplified silver staining method that significantly reduces reagent costs and enhances the detection resolution and picture clarity. The new method requires two major steps (impregnation and development) and three reagents (silver nitrate, sodium hydroxide, and formaldehyde), and only 7 min of processing for a non-denaturing polyacrylamide gel. Compared to previously reported protocols, this new method is easier, quicker and uses fewer chemical reagents for SSR detection. Therefore, this simple, low-cost, and effective silver staining protocol will benefit genetic mapping and marker-assisted breeding by a quick generation of SSR marker data.

Validation of a set of informative simple sequence repeats markers for variety identification in Pak‐choi (Brassica rapa L. ssp. chinensis var. communis)

AbstractA core set of 21 simple sequence repeats (SSR) markers was developed for Pak‐choi (Brassica rapa ssp. chinensis var. communis) variety identification. We initially selected 74 SSR markers which exhibited high polymorphism and reproducibility in SSR detection from 2129 SSRs. Using the 74 SSR‐based dendrogram for 45 inbred lines as calibration, 21 core SSRs were selected out. The utility of this core set SSRs was firstly tested in 45 inbred lines and finally verified in 102 commercial varieties. We also constructed a molecular ladder for each core SSR as a reference standard. Diversity analysis of this core SSR panel in 102 varieties demonstrated that each marker generates 2–3 alleles (averaged 2.33), with polymorphism information content values ranging from 0.01 to 0.56 (averaged 0.31). The averaged values of Shannon information index, observed heterozygosity, expected heterozygosity and Wright's fixation index were 0.59, 0.43, 0.38 and −0.09, respectively. Furthermore, the 21 SSR‐based classifications for 102 varieties were consistent with traditional classification based on morphology. This core SSR panel represents an effective tool for genetic variation analysis in Pak‐choi.

Comparison of the effectiveness of ISJ and SSR markers and detection of outlier loci in conservation genetics of Pulsatilla patens populations.

BackgroundResearch into the protection of rare and endangered plant species involves genetic analyses to determine their genetic variation and genetic structure. Various categories of genetic markers are used for this purpose. Microsatellites, also known as simple sequence repeats (SSR), are the most popular category of markers in population genetics research. In most cases, microsatellites account for a large part of the noncoding DNA and exert a neutral effect on the genome. Neutrality is a desirable feature in evaluations of genetic differences between populations, but it does not support analyses of a population’s ability to adapt to a given environment or its evolutionary potential. Despite the numerous advantages of microsatellites, non-neutral markers may supply important information in conservation genetics research. They are used to evaluate adaptation to specific environmental conditions and a population’s adaptive potential. The aim of this study was to compare the level of genetic variation in Pulsatilla patens populations revealed by neutral SSR markers and putatively adaptive ISJ markers (intron-exon splice junction).MethodsThe experiment was conducted on 14 Polish populations of P. patens and three P. patens populations from the nearby region of Vitebsk in Belarus. A total of 345 individuals were examined. Analyses were performed with the use of eight SSR primers specific to P. patens and three ISJ primers.ResultsSSR markers revealed a higher level of genetic variation than ISJ markers (He = 0.609, He = 0.145, respectively). An analysis of molecular variance (AMOVA) revealed that, the overall genetic diversity between the analyzed populations defined by parameters FST and ΦPT for SSR (20%) and ΦPT for ISJ (21%) markers was similar. Analysis conducted in the Structure program divided analyzed populations into two groups (SSR loci) and three groups (ISJ markers). Mantel test revealed correlations between the geographic distance and genetic diversity of Polish populations of P. patens for ISJ markers, but not for SSR markers.ConclusionsThe results of the present study suggest that ISJ markers can complement the analyses based on SSRs. However, neutral and adaptive markers should not be alternatively applied. Neutral microsatellite markers cannot depict the full range of genetic variation in a population because they do not enable to analyze functional variation. Although ISJ markers are less polymorphic, they can contribute to the reliability of analyses based on SSRs.

SA-SSR: a suffix array-based algorithm for exhaustive and efficient SSR discovery in large genetic sequences.

Summary: Simple Sequence Repeats (SSRs) are used to address a variety of research questions in a variety of fields (e.g. population genetics, phylogenetics, forensics, etc.), due to their high mutability within and between species. Here, we present an innovative algorithm, SA-SSR, based on suffix and longest common prefix arrays for efficiently detecting SSRs in large sets of sequences. Existing SSR detection applications are hampered by one or more limitations (i.e. speed, accuracy, ease-of-use, etc.). Our algorithm addresses these challenges while being the most comprehensive and correct SSR detection software available. SA-SSR is 100% accurate and detected >1000 more SSRs than the second best algorithm, while offering greater control to the user than any existing software.Availability and implementation: SA-SSR is freely available at http://github.com/ridgelab/SA-SSRContact: perry.ridge@byu.eduSupplementary information: Supplementary data are available at Bioinformatics online.

ChloroSSRdb: a repository of perfect and imperfect chloroplastic simple sequence repeats (cpSSRs) of green plants.

Simple sequence repeats (SSRs) are regions in DNA sequence that contain repeating motifs of length 1–6 nucleotides. These repeats are ubiquitously present and are found in both coding and non-coding regions of genome. A total of 534 complete chloroplast genome sequences (as on 18 September 2014) of Viridiplantae are available at NCBI organelle genome resource. It provides opportunity to mine these genomes for the detection of SSRs and store them in the form of a database. In an attempt to properly manage and retrieve chloroplastic SSRs, we designed ChloroSSRdb which is a relational database developed using SQL server 2008 and accessed through ASP.NET. It provides information of all the three types (perfect, imperfect and compound) of SSRs. At present, ChloroSSRdb contains 124 430 mined SSRs, with majority lying in non-coding region. Out of these, PCR primers were designed for 118 249 SSRs. Tetranucleotide repeats (47 079) were found to be the most frequent repeat type, whereas hexanucleotide repeats (6414) being the least abundant. Additionally, in each species statistical analyses were performed to calculate relative frequency, correlation coefficient and chi-square statistics of perfect and imperfect SSRs. In accordance with the growing interest in SSR studies, ChloroSSRdb will prove to be a useful resource in developing genetic markers, phylogenetic analysis, genetic mapping, etc. Moreover, it will serve as a ready reference for mined SSRs in available chloroplast genomes of green plants.Database URL: www.compubio.in/chlorossrdb/

A versatile fluorescence-based multiplexing assay for CAPS genotyping on capillary electrophoresis systems

Recent advances in next-generation sequencing techniques and the development of genomics resources for crop plants with large genomes allow the detection of a large number of single nucleotide polymorphisms (SNPs) and their use in a high-throughput manner. However, such large numbers of SNPs are on the one hand not needed in some plant breeding projects and on the other hand not affordable in some cases, raising the need for fast and low-cost innovative techniques for marker detection. In marker selection in plant breeding programs, cleaved amplified polymorphic sequence (CAPS) markers still play a significant role as a complement to other high-throughput methods for SNP genotyping. New methods focusing on the acceleration of CAPS-based genotyping are therefore highly desirable. The combination of the classical CAPS method and a M13-tailed primer multiplexing assay was used to develop an agarose-gel-free protocol for the analysis of SNPs via restriction enzyme digestion. PCR products were fluorescence-labeled with a universal M13 primer and subsequently digested with the appropriate restriction endonuclease. After mixing differently labeled products, they were detected in a capillary electrophoresis system. This method allowed the cost-effective genotyping of several SNPs in barley in a multiplexed manner at an overall low cost in a short period of time. This new method was efficiently combined with the simultaneous detection of simple sequence repeats in the same electrophoresis run, resulting in a procedure well suited for marker-based selection procedures, genotyping of mapping populations and the assay of genetic diversity.

Analysis of expressed sequence tags from mulberry (Morus indica) roots and implications for comparative transcriptomics and marker identification

Mulberry (Morus indica) serves as the most commercially valuable plant of the sericulture industry and has the unrealized potential to influence rural economy directly. Despite the poised economic importance of mulberry, there is a dearth of genomic or transcriptomic data available for mulberry; therefore, in the present study, efforts were initiated to produce transcriptomic data about mulberry roots to aid selective breeding and biotechnology for stress tolerance in this important tree species of the sericulture industry. Knowledge of the mulberry root transcriptome is an important step and will contribute to a better understanding of molecular information of this important cash crop. A total of 2,400 expressed sequence tags were sequenced from the roots of M. indica cv. K-2 and assembled into 148 contigs and 1,420 singletons. Functional categorization of mulberry unigenes revealed conservation of genes involved in diverse cellular processes. Comparative transcriptomic studies undertaken from the leaf and root tissues of mulberry exposed to a variety of abiotic stress conditions revealed overlapping and specific patterns of transcript expression. The utility of expressed sequence tag (EST)-based simple sequence repeats (SSRs) prompted us to perform a bioinformatics analysis for SSR detection in the EST repertoires of mulberry leaf and root. The identification of expressed transcripts generated from this effort has the unrealized potential as cornerstones of functional genomics studies, and candidate genes relevant to the interest of the sericulture industry may represent important molecular tools to mulberry research groups.

Development and characterization of microsatellite markers from tropical forage Stylosanthes species and analysis of genetic variability and cross-species transferability

A limited number of functional molecular markers has slowed the desired genetic improvement of Stylosanthes species. Hence, in an attempt to develop simple sequence repeat (SSR) markers, genomic libraries from Stylosanthes seabrana B.L. Maass & 't Mannetje (2n=2x=20) using 5' anchored degenerate microsatellite primers were constructed. Of the 76 new microsatellites, 21 functional primer pairs were designed. Because of the small number of primer pairs designed, 428 expressed sequence tag (EST) sequences from seven Stylosanthes species were also examined for SSR detection. Approximately 10% of sequences delivered functional primer pairs, and after redundancy elimination, 57 microsatellite repeats were selected. Tetranucleotides followed by trinucleotides were the major repeated sequences in Stylosanthes ESTs. In total, a robust set of 21 genomic-SSR (gSSR) and 20 EST-SSR (eSSR) markers were developed. These markers were analyzed for intraspecific diversity within 20 S. seabrana accessions and for their cross-species transferability. Mean expected (He) and observed (Ho) heterozygosity values with gSSR markers were 0.64 and 0.372, respectively, whereas with eSSR markers these were 0.297 and 0.214, respectively. Dendrograms having moderate bootstrap value (23%-94%) were able to distinguish all accessions of S. seabrana with gSSR markers, whereas eSSR markers showed 100% similarities between few accessions. The set of 21 gSSRs, from S. seabrana, and 20 eSSRs, from selected Stylosanthes species, with their high cross-species transferability (45% with gSSRs, 86% with eSSRs) will facilitate genetic improvement of Stylosanthes species globally.

Mining of simple sequence repeats in the Genome of Gentianaceae.

Simple sequence repeats (SSRs) or short tandem repeats are short repeat motifs that show high level of length polymorphism due to insertion or deletion mutations of one or more repeat types. Here, we present the detection and abundance of microsatellites or SSRs in nucleotide sequences of Gentianaceae family. A total of 545 SSRs were mined in 4698 nucleotide sequences downloaded from the National Center for Biotechnology Information (NCBI). Among the SSR sequences, the frequency of repeat type was about 429 -mono repeats, 99 -di repeats, 15 -tri repeats, and 2 --hexa repeats. Mononucleotide repeats were found to be abundant repeat types, about 78%, followed by dinucleotide repeats (18.16%) among the SSR sequences. An attempt was made to design primer pairs for 545 identified SSRs but these were found only for 169 sequences.

Mining and characterization of EST derived microsatellites in Curcuma longa L.

Turmeric (Curcuma longa L.) (Family: Zingiberaceae) is a perennial rhizomatous herbaceous plant often used as a spice since time immemorial. Turmeric plants are also widely known for its medicinal applications. Recently EST-derived SSRs (Simple sequence repeats) are a free by-product of the currently expanding EST (Expressed Sequence Tag) databases. SSRs have been widely applied as molecular markers in genetic studies. Development of high throughput method for detection of SSRs has given a new dimension in their use as molecular markers. A software tool SciRoKo was used to mine class I SSR in Curcuma EST database comprising 12953 sequences. A total of 568 non-redundant SSR loci were detected with an average of one SSR per 14.73 Kb of EST. Furthermore, trinucleotide was found to be the most abundant repeat type among 1-6-nucleotide repeat types. It accounted for 41.19% of the total, followed by the mononucleotide (20.07%) and hexanucleotide repeats (15.14%). Among all the repeat motifs, (A/T)n accounted for the highest proportion followed by (AGG)n. These detected SSRs can be greatly used for designing primers that can be used as markers for constructing saturated genetic maps and conducting comparative genomic studies in different Curcuma species.

Generation and analysis of expressed sequence tags from a cDNA library of the fruiting body of Ganoderma lucidum

BackgroundLittle genomic or trancriptomic information on Ganoderma lucidum (Lingzhi) is known. This study aims to discover the transcripts involved in secondary metabolite biosynthesis and developmental regulation of G. lucidum using an expressed sequence tag (EST) library.MethodsA cDNA library was constructed from the G. lucidum fruiting body. Its high-quality ESTs were assembled into unique sequences with contigs and singletons. The unique sequences were annotated according to sequence similarities to genes or proteins available in public databases. The detection of simple sequence repeats (SSRs) was preformed by online analysis.ResultsA total of 1,023 clones were randomly selected from the G. lucidum library and sequenced, yielding 879 high-quality ESTs. These ESTs showed similarities to a diverse range of genes. The sequences encoding squalene epoxidase (SE) and farnesyl-diphosphate synthase (FPS) were identified in this EST collection. Several candidate genes, such as hydrophobin, MOB2, profilin and PHO84 were detected for the first time in G. lucidum. Thirteen (13) potential SSR-motif microsatellite loci were also identified.ConclusionThe present study demonstrates a successful application of EST analysis in the discovery of transcripts involved in the secondary metabolite biosynthesis and the developmental regulation of G. lucidum.

Development of a set of public SSR markers derived from genomic sequence of a rapid cycling Brassica oleracea L. genotype

The traditional development of simple sequence repeat (SSR) or microsatellite markers by probe hybridization can be time-consuming and requires the use of specialized laboratory equipment. In this study, probe hybridization was circumvented by using sequence information on 3,500 genomic clones mainly from Brassica oleracea to identify di, tri, tetra and penta-nucleotide repeats. A total of 587 primer pairs flanking SSR were developed using this approach. From these, 420 SSR markers amplified DNA in two parental lines of B. rapa (26% were polymorphic) and 523 in two parental lines of B. oleracea (32% were polymorphic). A diverse array of motif types was identified, characterized and compared with traditional SSR detection methods. The most abundant motifs found were di- (38%) and trinucleotides (33%) followed by penta- (16%) and tetranucleotide (13%) motifs. The type of motif class, motif length and repeat were not indicative of polymorphisms. The frequency of B. oleracea SSRs in genomic shotgun sequence was estimated to be 1 every 4 Kb. In general, the average motif length and repeat numbers were shorter than those obtained previously by probe hybridization, and they contained a more balanced representation of SSR motif types in the genome by identifying those that do not hybridize well to DNA probes. Brassica genomic DNA sequence information is a promising resource for developing a large number of SSR molecular markers in Brassica species.

Cultivation-Independent Analysis of Fungal Genotypes in Soil by Using Simple Sequence Repeat Markers

Cultivation-independent analyses of fungi are used for community profiling as well as identification of specific strains in environmental samples. The objective of the present study was to adapt genotyping based on simple sequence repeat (SSR) marker detection for use in cultivation-independent monitoring of fungal species or strains in bulk soil DNA. As a model system, a fungal biocontrol agent (BCA) based on Beauveria brongniartii, for which six SSR markers have been developed, was used. Species specificity of SSR detection was verified with 15 fungal species. Real-time PCR was used to adjust for different detection sensitivities of the six SSR markers as well as for different template quantities. The limit for reliable detection per PCR assay was below 2 pg target DNA, corresponding to an estimated 45 genome copies of B. brongniartii. The cultivation-independent approach was compared to cultivation-dependent SSR analysis with soil samples from a B. brongniartii BCA-treated field plot. Results of the cultivation-independent method were consistent with cultivation-dependent genotyping and allowed for unambiguous identification and differentiation of the applied as well as indigenous strains in the samples. Due to the larger quantities of soil used for cultivation-dependent analysis, its sensitivity was higher, but cultivation-independent SSR genotyping was much faster. Therefore, cultivation-independent monitoring of B. brongniartii based on multiple SSR markers represents a rapid and strain-specific approach. This strategy may also be applicable to other fungal species or strains for which SSR markers have been developed.

Type I microsatellite markers from Atlantic salmon (Salmo salar) expressed sequence tags

AbstractThe detection of simple sequence repeats (SSRs) within expressed sequence tags (ESTs) connects potential microsatellite markers with specific genes, generating Type I markers. Using an in silico approach, we identified 1975 SSRs from the Genome Research on Atlantic Salmon Project EST database. We designed primers to amplify 158 SSRs, of which 65 amplified 76 loci (including 11 duplicated loci). Sixty‐one of the 76 loci were variable in 24 Atlantic salmon from seven populations, and 96% of these markers also amplify DNA from other salmonids. Functions for 16 of the SSR associated ESTs have been determined, confirming them as Type I markers.