Exploiting EST databases for the mining and characterization of short sequence repeat (SSR) markers in Catharanthus roseus L

Periwinkle (Catharanthus roseus L.) (Family: Apocyanaceae) is a ornamental plants with great medicinal properties. Although it is represented by seven species, little work has been carried out on its genetic characterization due to non-availability of reliable molecular markers. Simple sequence repeats (SSRs) have been widely applied as molecular markers in genetic studies. With the rapid increase in the deposition of nucleotide sequences in the public databases and advent of bioinformatics tools, it has become a cost effective and fast approach to scan for microsatellite repeats and exploit the possibility of converting it into potential genetic markers. Expressed sequence tags (EST's) from Catharanthus roseus were used for the screening of Class I (hyper variable) simple sequence repeats (SSR's). A total of 502 microsatellite repeats were detected from 21730 EST sequences of turmeric after redundancy elimination. The average density of Class I SSRs account to 1 SSR per 10.21 kb of EST. Mononucleotides was the most abundant class of microsatellite motifs. It accounted for 44.02% of the total, followed by the trinucleotide (26.09%) and dinucleotide repeats (14.34%). Among all the repeat motifs, (A/T)n accounted for the highest Proportion (36.25%) followed by (AAG)n. These detected SSRs can be used to design primers that have functional importance and should also facilitate the analysis of genetic diversity, variability, linkage mapping and evolutionary relationships in plants especially medicinal plants.     

Genetic diversity in Capsicum germplasm based on microsatellite and random amplified microsatellite polymorphism markers

A sound knowledge of the genetic diversity among germplasm is vital for strategic germplasm collection, maintenance, conservation and utilisation. Genomic simple sequence repeats (SSRs) and random amplified microsatellite polymorphism (RAMPO) markers were used to analyse diversity and relationships among 48 pepper (Capsicum spp.) genotypes originating from nine countries. These genotypes covered 4 species including 13 germplasm accessions, 30 improved lines of 4 domesticated species and 5 landraces derived from natural interspecific crosses. Out of 106 SSR markers, 25 polymorphic SSR markers (24 %) detected a total of 76 alleles (average, 3.04; range, 2–5). The average polymorphic information content (PIC) was 0.69 (range, 0.29–0.92). Seventeen RAMPO markers produced 87 polymorphic fragments with average PIC of 0.63 (range, 0.44–0.81). Dendrograms based on SSRs and RAMPOs generated two clusters. All 38 Capsicum annuum genotypes and an interspecific landrace clustered together, whereas nine non-annuum (three Capsicum frutescens, one Capsicum chinense, one Capsicum baccatum and four interspecific landraces) genotypes clustered separately. Genetic variation within non-annuum genotypes was greater than the C. annuum genotypes. Distinctness of interspecific derivative landraces grown in northeast India was validated; natural crossing between sympatric Capsicum species has been proposed as the mechanism of their origin.     

Development,Characterization and Cross Species Amplification of Polymorphic Microsatellite Markers from Expressed Sequence Tags of Turmeric (<Emphasis Type="Italic">Curcuma longa</Emphasis> L.)

Expressed sequence tags (ESTs) from turmeric (Curcuma longa L.) were used for the screening of type and frequency of Class I (hypervariable) simple sequence repeats (SSRs). A total of 231 microsatellite repeats were detected from 12,593 EST sequences of turmeric after redundancy elimination. The average density of Class I SSRs accounts to one SSR per 17.96 kb of EST. Mononucleotides were the most abundant class of microsatellite repeat in turmeric ESTs followed by trinucleotides. A robust set of 17 polymorphic EST–SSRs were developed and used for evaluating 20 turmeric accessions. The number of alleles detected ranged from 3 to 8 per loci. The developed markers were also evaluated in 13 related species of C. longa confirming high rate (100%) of cross species transferability. The polymorphic microsatellite markers generated from this study could be used for genetic diversity analysis and resolving the taxonomic confusion prevailing in the genus.     

Analysis of Microsatellites in Citrus Unigenes

Simple sequence repeats (SSRs) were investigated in the unigene sequences from expressed sequence tags (EST) of sweet orange (Citrus sinensis osbeck), trifoliate orange (Poncirus trifoliata Raf.) and other citrus species and cultivars. A total of 37 802 citrus unigene sequences corresponding to 23.29 Mb were searched, resulting in the identification of 8 218 SSRs. Among them there were 4 913 (59.8%) mono-, 1 419 (17.3%) di-, 1 709 (20.8%) tri-, 114 (1.39%) tetra-, 23 (0.28%) penta- and 40 (0.49%) hexa-nucleotide SSRs. The estimated frequency of SSRs was approximately 1/2.8 kb, which could be extrapolated to 1 SSR-containing unigene in 4.6 unigenes. The maximum length of the SSR ranged from 40 to 105 bp depending on the repeating numbers of the motif in the SSR. The overall average length of SSRs was 20.9 bp. The frequencies of different SSR types (di-, tri-, tetra-, and penta-nucleotide repeats) were very similar between sweet orange and trifoliate orange. The mononucelotide repeats appeared to be the most abundant SSRs within sweet orange and trifoliate orange, followed by trimeric repeats. The adenine rich repeats such as A/T, AG, AT, AAG, AAAT, AAAG, AAAT, AAAAG, AAAAT etc. were predominant in each type of SSRs (mono-, di-, tri-, tetra-, and penta-), whereas the C/G, CG, CCG repeats were less abundant. Twenty-five primer pairs flanking EST-SSR loci were designed to detect the possible polymorphism of six citrus cultivars including sweet orange and trifoliate orange. The PCR result with all these 25 primer pairs revealed the existence of polymorphism within six citrus cultivars confirming that citrus EST database could be efficiently exploited for the development of gene-derived SSR markers.     

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.     

Development and Application of Microsatellites in Candidate Genes Related to Wood Properties in the Chinese White Poplar (Populus tomentosa Carr.)

Gene-derived simple sequence repeats (genic SSRs), also known as functional markers, are often preferred over random genomic markers because they represent variation in gene coding and/or regulatory regions. We characterized 544 genic SSR loci derived from 138 candidate genes involved in wood formation, distributed throughout the genome of Populus tomentosa, a key ecological and cultivated wood production species. Of these SSRs, three-quarters were located in the promoter or intron regions, and dinucleotide (59.7%) and trinucleotide repeat motifs (26.5%) predominated. By screening 15 wild P. tomentosa ecotypes, we identified 188 polymorphic genic SSRs with 861 alleles, 2–7 alleles for each marker. Transferability analysis of 30 random genic SSRs, testing whether these SSRs work in 26 genotypes of five genus Populus sections (outgroup, Salix matsudana), showed that 72% of the SSRs could be amplified in Turanga and 100% could be amplified in Leuce. Based on genotyping of these 26 genotypes, a neighbour-joining analysis showed the expected six phylogenetic groupings. In silico analysis of SSR variation in 220 sequences that are homologous between P. tomentosa and Populus trichocarpa suggested that genic SSR variations between relatives were predominantly affected by repeat motif variations or flanking sequence mutations. Inheritance tests and single-marker associations demonstrated the power of genic SSRs in family-based linkage mapping and candidate gene-based association studies, as well as marker-assisted selection and comparative genomic studies of P. tomentosa and related species.     

Distribution and characterization of simple sequence repeats in Gossypium raimondii genome

Simple sequence repeats (SSRs) can be derived from the complete genome sequence. These markers are important for gene mapping as well as marker-assisted selection (MAS). To develop SSRs for cotton gene mapping, we selected the complete genome sequence of Gossypium raimondii, which consisted of 4447 non-redundant scaffolds. Out of 775.2 Mb sequence examined, a total of 136,345 microsatellites were identified with a density of 5.69 kb per SSR in the G. raimondii genome leading to development of 112,177 primer pairs. The distributions of SSRs in the genome were non-random. Among the different motifs ranging from 1 to 6 bp, penta-nucleotide repeats were most abundant (30.5%), followed by tetra-nucleotide repeats (18.2%) and di-nucleotide repeats (16.9%). Among all identified 457 motif types, the most frequently occurring repeat motifs were poly-AT/TA, which accounted for 79.8% of the total di-nt SSRs, followed by AAAT/TTTA with 51.5% of the total tetra-nucleotede. Further, 18,834 microsatellites were detected from the protein-coding genes, and the frequency of gene containing SSRs was 46.0% in 40,976 genes of G. raimondii. These genome-based SSRs developed in the present study will lay the groundwork for developing large numbers of SSR markers for genetic mapping, gene discovery, genetic diversity analysis, and MAS breeding in cotton.     

Analysis of simple sequence repeats (SSRs)dynamics in fungus Fusarium graminearum

The abundance and inherent potential for variations in simple sequence repeats (SSRs) or microsatellites resulted in valuable source for genetic markers in eukaryotes. We describe the organization and abundance of SSRs in fungus Fusarium graminearum (causative agent for Fusarium head blight or head scab of wheat). We identified 1705 SSRs of various nucleotide repeat motifs in the sequence database of F. graminearum. It is observed that mononucleotide repeats (62%) were most abundant followed by di- (20%) and trinucleotide repeats (14%). It is noted that tetra-, penta- and hexanucleotide repeats accounted for only 4% of SSRs. The estimated frequency of Class I SSRs (perfect repeats ≥20 nucleotides) was one SSR per 124.5 kb, whereas the frequency of Class II (perfect repeats >10 nucleotides and ≫20 nucleotides) was one SSR per 25.6 kb. The dynamics of SSRs will be a powerful tool for taxonomic, phylogenetic, genome mapping and population genetic studies as SSR based markers show high levels of allelic variation, codominant inheritance and ease of analysis.     

Development of EST-SSR markers and their utility in revealing cryptic diversity in safflower (Carthamus tinctorius L.)

With the aim of developing additional genomic resources in safflower, a set of 41,011 ESTs of safflower were mined for the presence of SSRs. 18,773 SSR containing ESTs (SSR-ESTs) were identified and were analyzed to remove redundant sequences leading to identification of 8,810 non-redundant SSR-ESTs (categorized into 6104 singletons and 2,706 contigs) having 13,085 non-redundant SSRs. The average number of non-redundant SSRs per EST was 0.32 and they predominantly consisted of dinucleotide (57.7 %), and trinucleotide (37.7 %) repeat motifs. 500 primer pairs were designed for the non-redundant EST-SSRs of which, 151 were tested. 60 markers which gave robust amplicons, were validated in a set of 19 Carthamus lines. A subset of EST-SSR markers, having average polymorphism information content (PIC) ≥0.4 could precisely elucidate the pedigree relatedness among these lines. Further, these markers exhibited high cross-species transferability to five other wild species of Carthamus. The markers reported here would be a valuable addition to existing safflower marker resources aiding in hastening its improvement.     

Development and integration of EST–SSR markers into an established linkage map in switchgrass

Switchgrass (Panicum virgatum L.) is a model cellulosic biofuel crop in the United States. Simple sequence repeat (SSR) markers are valuable resources for genetic mapping and molecular breeding. A large number of expressed sequence tags (ESTs) of switchgrass are recently available in our sequencing project. The objectives of this study were to develop new SSR markers from the switchgrass EST sequences and to integrate them into an existing linkage map. More than 750 unique primer pairs (PPs) were designed from 243,600 EST contigs and tested for PCR amplifications, resulting in 538 PPs effectively producing amplicons of expected sizes. Of the effective PPs, 481 amplifying informative bands in NL94 were screened for polymorphisms in a panel consisting of NL94 and its seven first-generation selfed (S1) progeny. This led to the selection of 117 polymorphic EST–SSRs to genotype a mapping population encompassing 139 S1 individuals of NL94. Of 83 markers demonstrating clearly scorable alleles in the mapping population, 79 were integrated into a published linkage map, with three linked to accessory loci and one unlinked. The newly identified EST–SSR loci were distributed in 17 of 18 linkage groups with 27 (32.5 %) exhibiting distorted segregations. The integration of EST–SSRs aided in reducing the average marker interval (cM) to 3.7 from 4.2, and reduced the number of gaps (each >15 cM) to 10 from 23. Developing new EST–SSRs and constructing a higher density linkage map will facilitate quantitative trait locus mapping and provide a firm footing for marker-assisted breeding in switchgrass.     

Genome-wide analysis of simple sequence repeats in the model medicinal mushroom Ganoderma lucidum

Simple sequence repeats (SSRs) or microsatellites are one of the most popular sources of genetic markers and play a significant role in gene function and genome organization. We identified SSRs in the genome of Ganoderma lucidum and analyzed their frequency and distribution in different genomic regions. We also compared the SSRs in G. lucidum with six other Agaricomycetes genomes: Coprinopsis cinerea, Laccaria bicolor, Phanerochaete chrysosporium, Postia placenta, Schizophyllum commune and Serpula lacrymans. Based on our search criteria, the total number of SSRs found ranged from 1206 to 6104 and covered from 0.04% to 0.15% of the fungal genomes. The SSR abundance was not correlated with the genome size, and mono- to tri-nucleotide repeats outnumbered other SSR categories in all of the species examined. In G. lucidum, a repertoire of 2674 SSRs was detected, with mono-nucleotides being the most abundant. SSRs were found in all genomic regions and were more abundant in non-coding regions than coding regions. The highest SSR relative abundance was found in introns (108 SSRs/Mb), followed by intergenic regions (84 SSRs/Mb). A total of 684 SSRs were found in the protein-coding sequences (CDSs) of 588 gene models, with 81.4% of them being tri- or hexa-nucleotides. After scanning for InterPro domains, 280 of these genes were successfully annotated, and 215 of them could be assigned to Gene Ontology (GO) terms. SSRs were also identified in 28 bioactive compound synthesis-related gene models, including one 3-hydroxy-3-methylglutaryl-CoA reductase (HMGR), three polysaccharide biosynthesis genes and 24 cytochrome P450 monooxygenases (CYPs). Primers were designed for the identified SSR loci, providing the basis for the future development of SSR markers of this medicinal fungus.     

A comprehensive genetic map of sugarcane that provides enhanced map coverage and integrates high-throughput Diversity Array Technology (DArT) markers

Background

Sugarcane genetic mapping has lagged behind other crops due to its complex autopolyploid genome structure. Modern sugarcane cultivars have from 110-120 chromosomes and are in general interspecific hybrids between two species with different basic chromosome numbers: Saccharum officinarum (2n = 80) with a basic chromosome number of 10 and S. spontaneum (2n = 40-128) with a basic chromosome number of 8. The first maps that were constructed utilised the single dose (SD) markers generated using RFLP, more recent maps generated using AFLP and SSRs provided at most 60% genome coverage. Diversity Array Technology (DArT) markers are high throughput allowing greater numbers of markers to be generated.

Results

Progeny from a cross between a sugarcane variety Q165 and a S. officinarum accession IJ76-514 were used to generate 2467 SD markers. A genetic map of Q165 was generated containing 2267 markers, These markers formed 160 linkage groups (LGs) of which 147 could be placed using allelic information into the eight basic homology groups (HGs) of sugarcane. The HGs contained from 13 to 23 LGs and from 204 to 475 markers with a total map length of 9774.4 cM and an average density of one marker every 4.3 cM. Each homology group contained on average 280 markers of which 43% were DArT markers 31% AFLP, 16% SSRs and 6% SNP markers. The multi-allelic SSR and SNP markers were used to place the LGs into HGs.

Conclusions

The DArT array has allowed us to generate and map a larger number of markers than ever before and consequently to map a larger portion of the sugarcane genome. This larger number of markers has enabled 92% of the LGs to be placed into the 8 HGs that represent the basic chromosome number of the ancestral species, S. spontaneum. There were two HGs (HG2 and 8) that contained larger numbers of LGs verifying the alignment of two sets of S. officinarum chromosomes with one set of S. spontaneum chromosomes and explaining the difference in basic chromosome number between the two ancestral species. There was also evidence of more complex structural differences between the two ancestral species.

Electronic supplementary material

The online version of this article (doi:10.1186/1471-2164-15-152) contains supplementary material, which is available to authorized users.     

Mining and gene ontology based annotation of SSR markers from expressed sequence tags of Humulus lupulus

Humulus lupulus is commonly known as hops, a member of the family moraceae. Currently many projects are underway leading to the accumulation of voluminous genomic and expressed sequence tag sequences in public databases. The genetically characterized domains in these databases are limited due to non-availability of reliable molecular markers. The large data of EST sequences are available in hops. The simple sequence repeat markers extracted from EST data are used as molecular markers for genetic characterization, in the present study. 25,495 EST sequences were examined and assembled to get full-length sequences. Maximum frequency distribution was shown by mononucleotide SSR motifs i.e. 60.44% in contig and 62.16% in singleton where as minimum frequency are observed for hexanucleotide SSR in contig (0.09%) and pentanucleotide SSR in singletons (0.12%). Maximum trinucleotide motifs code for Glutamic acid (GAA) while AT/TA were the most frequent repeat of dinucleotide SSRs. Flanking primer pairs were designed in-silico for the SSR containing sequences. Functional categorization of SSRs containing sequences was done through gene ontology terms like biological process, cellular component and molecular function.     

Development and Characterization of Simple Sequence Repeat Markers Providing Genome-Wide Coverage and High Resolution in Maize

Simple sequence repeats (SSRs) have been widely used in maize genetics and breeding, because they are co-dominant, easy to score, and highly abundant. In this study, we used whole-genome sequences from 16 maize inbreds and 1 wild relative to determine SSR abundance and to develop a set of high-density polymorphic SSR markers. A total of 264 658 SSRs were identified across the 17 genomes, with an average of 135 693 SSRs per genome. Marker density was one SSR every of 15.48 kb. (C/G)n, (AT)n, (CAG/CTG)n, and (AAAT/ATTT)n were the most frequent motifs for mono, di-, tri-, and tetra-nucleotide SSRs, respectively. SSRs were most abundant in intergenic region and least frequent in untranslated regions, as revealed by comparing SSR distributions of three representative resequenced genomes. Comparing SSR sequences and e-polymerase chain reaction analysis among the 17 tested genomes created a new database, including 111 887 SSRs, that could be develop as polymorphic markers in silico. Among these markers, 58.00, 26.09, 7.20, 3.00, 3.93, and 1.78% of them had mono, di-, tri-, tetra-, penta-, and hexa-nucleotide motifs, respectively. Polymorphic information content for 35 573 polymorphic SSRs out of 111 887 loci varied from 0.05 to 0.83, with an average of 0.31 in the 17 tested genomes. Experimental validation of polymorphic SSR markers showed that over 70% of the primer pairs could generate the target bands with length polymorphism, and these markers would be very powerful when they are used for genetic populations derived from various types of maize germplasms that were sampled for this study.     

Towards an efficient computational mining approach to identify EST-SSR markers

Microsatellites are the markers of choice due to their high abundance reproducibility, degree of polymorphism and co-dominant nature. These are mainly used for studying the genetic variability in different species and Marker assisted selection. Expressed Sequence Tags (ESTs) serve as the main resource for Simple Sequence Repeats (SSRs). The computational approach for detecting SSRs and developing SSR markers from EST-SSRs is preferred over the conventional methods as it reduces time and cost to a great extent. The available EST sequence databases, various web interfaces and standalone tools provide the platform for an easy analysis of the EST sequences leading to the development of potential EST-SSR Markers. This paper is an overview of in silico approach to develop SSR Markers from the EST sequence using some of the most efficient tools that are available freely for academic purpose.     

Cross transferability of SSR markers to endangered Cedrela species that grow in Argentinean subtropical forests,as a valuable tool for population genetic studies

Species of Cedrela with a high economic value from Northwest and Northeastern Argentina are severely exploited. This work evaluates whether 51 nuclear SSRs, developed to study phylogenetically close species in the Meliaceae family (Cedrela odorata, Cedrela fissilis, Swietenia humilis and Swietenia macrophylla), can be used to study C. fissilis, Cedrela balansae, Cedrela saltensis and Cedrela angustifolia. A 62.8% of the total of 194 SSRs/species combinations showed a successful, homologous and cross-species amplification. As expected, a great success in SSRs transferability among Cedrela species was observed. Twenty-one screened SSRs showed a successful amplification pattern in all target species and many of them were polymorphic (9, 13, 13 and 7 SSRs for C. fissilis, C. balansae, C. saltensis and C. angustifolia, respectively). The high number of evaluated SSRs from the Cedrela genus and Meliaceae family, allowed us to obtain a suitable set of validated markers that are highly variable and easily scored, and also identify those which were less sturdy. We were able to retain a useful set of markers for three of the target species, but not for C. angustifolia. This could be due to its greater phylogenetic and morphological distances to the other three species. The lack of SSRs developed for our target species, transforms the transferred SSRs reported here in a valuable tool to monitor the genetic consequences of forest overexploitation on Cedrela species.     

Development and Characterization of Polymorphic EST-SSR and Genomic SSR Markers for Tibetan Annual Wild Barley

Tibetan annual wild barley is rich in genetic variation. This study was aimed at the exploitation of new SSRs for the genetic diversity and phylogenetic analysis of wild barley by data mining. We developed 49 novel EST-SSRs and confirmed 20 genomic SSRs for 80 Tibetan annual wild barley and 16 cultivated barley accessions. A total of 213 alleles were generated from 69 loci with an average of 3.14 alleles per locus. The trimeric repeats were the most abundant motifs (40.82%) among the EST-SSRs, while the majority of the genomic SSRs were di-nuleotide repeats. The polymorphic information content (PIC) ranged from 0.08 to 0.75 with a mean of 0.46. Besides this, the expected heterozygosity (He) ranged from 0.0854 to 0.7842 with an average of 0.5279. Overall, the polymorphism of genomic SSRs was higher than that of EST-SSRs. Furthermore, the number of alleles and the PIC of wild barley were both higher than that of cultivated barley, being 3.12 vs 2.59 and 0.44 vs 0.37. Indicating more polymorphism existed in the Tibetan wild barley than in cultivated barley. The 96 accessions were divided into eight subpopulations based on 69 SSR markers, and the cultivated genotypes can be clearly separated from wild barleys. A total of 47 SSR-containing EST unigenes showed significant similarities to the known genes. These EST-SSR markers have potential for application in germplasm appraisal, genetic diversity and population structure analysis, facilitating marker-assisted breeding and crop improvement in barley.     

Frequency, type, distribution and annotation of simple sequence repeats in Rosaceae ESTs

Genomic resources for peach, a model species for Rosaceae, are being developed to accelerate gene discovery in other Rosaceae species by comparative mapping. Simple sequence repeats (SSRs) are an important tool for comparative mapping because of their high polymorphism and transportability. To accelerate the development of SSR markers, we analyzed publicly available Rosaceae expressed sequence tags (ESTs) for SSRs. A total of 17,284 ESTs from almond, peach and rose were assembled into putatively non-redundant EST sets. For comparison, 179,099 ESTs from Arabidopsis were also used in the analysis. About 4% of the assembled ESTs contained SSRs in Rosaceae, which was higher than the 2.4% found in Arabidopsis. About half of the SSRs were found in the putative UTR, and the estimated average distance between SSRs in the UTR was 5.5 kb in rose, 5.1 kb in almond, 7 kb in peach and 13 kb in Arabidopsis. In the putative coding region, the estimated average distance was two to four times longer than in the UTR. Rosaceae ESTs containing SSRs were functionally annotated using the GenBank nr database and further classified using the gene ontology terms associated with the matching sequences in the SwissProt database. The detailed data including the sequences and annotation results are available from .