High quality SNPs/Indels mining and characterization in ginger from ESTs data base

Ginger (Zingiber officinale Rosc.) is an important herb of the family Zingiberaceae. It is accepted as a universal cure for a multitudeof diseases in Indian systems of medicine and its rhizomes are equally popular as a spice ingredient throughout Asia. SNPs, thedefinitive genetic markers, representing the finest resolution of a DNA sequence, are abundantly found in populations having alower rate of mutation and are used for genomic analysis. The public ESTs sequences mostly lack quality files, making high qualitySNPs detection more difficult since it is exclusively based on sequence comparisons. In the present study, current dbESTs of NCBIwas mined and 38115 ginger ESTs sequences were obtained and assembled into contigs using CAP3 program. In this analysis,recent software tool QualitySNP was used to detect 11523 potential SNPs sites, 8810 high quality SNPs and 1008 indelspolymorphisms with a frequency of 1.61 SNPs / 10 kbp. Of ESTs libraries generated from three ginger tissues together, rhizomeshad a frequency of 0.32 SNPs and 0.03 indels per 10 kbp whereas the leaves had a frequency of 2.51 SNPs and 0.23 indels per 10kbp and root is showing relative frequency of 0.76/10 kbp SNPs and 0.02/10 kbp indels. The present analysis provides additionalinformation about the tissue wise presence of haplotypes (222), distribution of high quality exonic (2355) and intronic (6455) SNPsand information about singletons (7538) in addition to contigs transitions and transversions ratio (0.57). Among all tissue detectedSNPs, transversions number is higher in comparison to the number of transitions. Quality SNPs detected in this work can be usedas markers for further ginger genetic experiments.     

SMM-system: A mining tool to identify specific markers in Salmonella enterica

This report presents SMM-system, a software package that implements various personalized pre- and post-BLASTN tasks for mining specific markers of microbial pathogens. The main functionalities of SMM-system are summarized as follows: (i) converting multi-FASTA file, (ii) cutting interesting genomic sequence, (iii) automatic high-throughput BLASTN searches, and (iv) screening target sequences. The utility of SMM-system was demonstrated by using it to identify 214 Salmonella enterica-specific protein-coding sequences (CDSs). Eighteen primer pairs were designed based on eighteen S. enterica-specific CDSs, respectively. Seven of these primer pairs were validated with PCR assay, which showed 100% inclusivity for the 101 S. enterica genomes and 100% exclusivity of 30 non-S. enterica genomes. Three specific primer pairs were chosen to develop a multiplex PCR assay, which generated specific amplicons with a size of 180 bp (SC1286), 238 bp (SC1598) and 405 bp (SC4361), respectively. This study demonstrates that SMM-system is a high-throughput specific marker generation tool that can be used to identify genus-, species-, serogroup- and even serovar-specific DNA sequences of microbial pathogens, which has a potential to be applied in food industries, diagnostics and taxonomic studies. SMM-system is freely available and can be downloaded from http://foodsafety.sjtu.edu.cn/SMM-system.html.     

A network-based approach to identify substrate classes of bacterial glycosyltransferases

Background

Bacterial interactions with the environment- and/or host largely depend on the bacterial glycome. The specificities of a bacterial glycome are largely determined by glycosyltransferases (GTs), the enzymes involved in transferring sugar moieties from an activated donor to a specific substrate. Of these GTs their coding regions, but mainly also their substrate specificity are still largely unannotated as most sequence-based annotation flows suffer from the lack of characterized sequence motifs that can aid in the prediction of the substrate specificity.

Results

In this work, we developed an analysis flow that uses sequence-based strategies to predict novel GTs, but also exploits a network-based approach to infer the putative substrate classes of these predicted GTs. Our analysis flow was benchmarked with the well-documented GT-repertoire of Campylobacter jejuni NCTC 11168 and applied to the probiotic model Lactobacillus rhamnosus GG to expand our insights in the glycosylation potential of this bacterium. In L. rhamnosus GG we could predict 48 GTs of which eight were not previously reported. For at least 20 of these GTs a substrate relation was inferred.

Conclusions

We confirmed through experimental validation our prediction of WelI acting upstream of WelE in the biosynthesis of exopolysaccharides. We further hypothesize to have identified in L. rhamnosus GG the yet undiscovered genes involved in the biosynthesis of glucose-rich glycans and novel GTs involved in the glycosylation of proteins. Interestingly, we also predict GTs with well-known functions in peptidoglycan synthesis to also play a role in protein glycosylation.

Electronic supplementary material

The online version of this article (doi:10.1186/1471-2164-15-349) contains supplementary material, which is available to authorized users.     

Genetic diversity analysis and transferability of cereal EST-SSR markers to orchardgrass (Dactylis glomerata L.)

The diversity and genetic relationships among 74 orchardgrass accessions were analyzed using cereal EST-SSRs and orchardgrass SSR markers in order to estimate genetic variability and compare the level of diversity. In total, 190 polymorphic bands were detected with an average of 6.3 alleles per SSR loci. The average polymorphic rate (P) for the species was 84.63%, suggesting a high degree of genetic diversity. The molecular variance analysis (AMOVA) showed that the proportion of variance explained by within- and among-geographical groups diversity was74.87% and 25.13%, respectively. The distinct geographical divergence of orchardgrass was revealed between Americas and Oceania. The ecogeographical conditions such as climate and soil, genetic drift and mating system could be the crucial factors for genetic divergence. Furthermore, the study also indicated that northern Africa, Europe and temperate Asia might be the diversity differentiation center of orchardgrass. The result will facilitate the breeding program and germplasm collection and conservation.     

Towards a systems biology approach to understanding seed dormancy and germination

Seed germination is the first adaptive decision in the development of many land plants. Advances in genetics and molecular physiology have taught us much about the control of germination using the model plant Arabidopsis thaliana. Here we review the current state of the art with an emphasis on mechanistic considerations and explore the potential impact of a systems biology approach to the problem.     

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.     

In silico identification of coffee genome expressed sequences potentially associated with resistance to diseases

Sequences potentially associated with coffee resistance to diseases were identified by in silico analyses using the database of the Brazilian Coffee Genome Project (BCGP). Keywords corresponding to plant resistance mechanisms to pathogens identified in the literature were used as baits for data mining. Expressed sequence tags (ESTs) related to each of these keywords were identified with tools available in the BCGP bioinformatics platform. A total of 11,300 ESTs were mined. These ESTs were clustered and formed 979 EST-contigs with similarities to chitinases, kinases, cytochrome P450 and nucleotide binding site-leucine rich repeat (NBS-LRR) proteins, as well as with proteins related to disease resistance, pathogenesis, hypersensitivity response (HR) and plant defense responses to diseases. The 140 EST-contigs identified through the keyword NBS-LRR were classified according to function. This classification allowed association of the predicted products of EST-contigs with biological processes, including host defense and apoptosis, and with molecular functions such as nucleotide binding and signal transducer activity. Fisher's exact test was used to examine the significance of differences in contig expression between libraries representing the responses to biotic stress challenges and other libraries from the BCGP. This analysis revealed seven contigs highly similar to catalase, chitinase, protein with a BURP domain and unknown proteins. The involvement of these coffee proteins in plant responses to disease is discussed.     

Recombinant expression of in silico identified Bcell epitope of epsilon toxin of Clostridium perfringens in translational fusion with a carrier protein

Epsilon toxin secreted by Clostridium perfringens types B and D has been directly implicated as the causative agent of fatal enterotoxemia in domestic animals. The aim of the present study is to use in silico approach for identification of B-cell epitope(s) of epsilon toxin, and its expression in fusion with a carrier protein to analyze its potential as vaccine candidate(s). Using different computational analyses and bioinformatics tools, a number of antigenic determinant regions of epsilon toxin were identified. One of the B cell epitopes of epsilon toxin comprising the region (amino acids 40-62) was identified as a promising antigenic determinant. This Etx epitope (Etx_40-62) was cloned and expressed as a translational fusion with B-subunit of heat labile enterotoxin (LTB) of E. coli in a secretory expression system. Similar to the native LTB, the recombinant fusion protein retained the ability to pentamerize and bind to GM₁ ganglioside receptor of LTB. The rLTB.Etx_40-62 could be detected both with anti-Etx and anti-LTB antisera. The rLTB.Etx_40-62 fusion protein thus can be evaluated as a potential vaccine candidate against C. perfringens.

Abbreviations

aa - amino acid(s), Etx - epsilon toxin of Clostridium perfringens, LTB - B-subunit of heat labile enterotoxin of E. coli.     

The control of branching morphogenesis

Many organs of higher organisms are heavily branched structures and arise by an apparently similar process of branching morphogenesis. Yet the regulatory components and local interactions that have been identified differ greatly in these organs. It is an open question whether the regulatory processes work according to a common principle and how far physical and geometrical constraints determine the branching process. Here, we review the known regulatory factors and physical constraints in lung, kidney, pancreas, prostate, mammary gland and salivary gland branching morphogenesis, and describe the models that have been formulated to analyse their impacts.     

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.     

Analysis of Jatropha curcas transcriptome for oil enhancement and genic markers

Oil-rich seeds of Jatropha curcas are being focussed as a source of bio-diesel. However, prior to its industrial use, a lot of crop improvement efforts are required in Jatropha. Availability of a large number of EST sequences of Jatropha in public domain allow identification of candidate genes for several agronomic characters including oil content in seeds. Here, we have analysed 42,477 ESTs of Jatropha spanning 22.9 Mbp for microsatellites and fatty acid metabolism related sequences. Unigene sequences were built using CAP 3 programme resulted in 12,358 contigs and 5,730 singlets. Nearly, 8 % unigenes showed presence of microsatellites, slightly over-represented compared to their occurrence in ESTs. Most of the microsatellites were either di- or tri-nucleotide repeats, while other categories of tetra-, penta- and hexa-nucleotide repeats together constituted ~4 % of total microsatellites. Assessment of functional relevance of unigenes was carried out using Blast2GO using its default settings. The overall sequence similarity level against sequences in ‘nr’ database was >80 %. A total of 931 sequences that participated in any of the pathways related to fatty acid or lipid metabolism were found at GO level 6. Among these, GO terms “Fatty acid metabolic process” and “Fatty acid biosynthetic process” were most over-represented. Overall, our work has due relevance in identifying molecular markers for the candidate genes for oil content in Jatropha seeds, and will prove to be an important reference for further studies for identification of trait specific markers in Jatropha.     

香合欢EST-SSR标记开发及种间通用性研究

香合欢是我国南方特有的珍贵用材树种。为了对其种质资源开展群体遗传学研究,该研究根据香合欢转录组测序结果设计开发EST-SSR引物,并在黄豆树、南洋楹、黑木相思、格木等近缘树种中进行通用性分析。结果表明：(1)所开发的243对引物有171对能够成功扩增出目的条带,在香合欢、黄豆树、南洋楹、黑木相思、格木中的有效扩增率分别为63.79%、33.75%、45.68%、41.56%、14.81%;多态性比率分别为23.87%、12.20%、9.01%、3.96%、2.78%;5个物种间均通用的引物有18对。(2)通过验证共获得香合欢SSR多态性标记37个,黄豆树和南洋楹多态性标记均为10个,黑木相思多态性标记4个,格木多态性标记1个。(3)所开发的香合欢EST-SSR标记,可以满足开展香合欢群体遗传学相关研究的需要,并在黄豆树、南洋楹等近缘树种中具有较好的通用性和研究实用性。综上认为,EST-SSR标记可在香合欢、黄豆树、南洋楹、黑木相思、格木等树种的种质资源遗传多样性评价、育种材料指纹图谱构建、群体交配系统分析等方面提供可靠的研究工具,对香合欢种质资源的保护和利用具有重要意义。     

Diversity of Streptomyces spp. in Eastern Himalayan region - computational RNomics approach to phylogeny

Isolation and characterization of actinomycetes from soil samples from altitudinal gradient of North-East India were investigated for computational RNomics based phylogeny. A total of 52 diverse isolates of Streptomyces from the soil samples were isolated on four different media and from these 6 isolates were selected on the basis of cultural characteristics, microscopic and biochemical studies. Sequencing of 16S rDNA of the selected isolates identified them to belong to six different species of Streptomyces. The molecular morphometric and physico-kinetic analysis of 16S rRNA sequences were performed to predict the diversity of the genus. The computational RNomics study revealed the significance of the structural RNA based phylogenetic analysis in a relatively diverse group of Streptomyces.     

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.     

Application of in silico and in vitro methods in the development of adverse outcome pathway constructs in wildlife

There is a long history of using both in silico and in vitro methods to predict adverse effects in humans and environmental species where toxicity data are lacking. Currently, there is a great deal of interest in applying these methods to the development of so-called ‘adverse outcome pathway’ (AOP) constructs. The AOP approach provides a framework for organizing information at the chemical and biological level, allowing evidence from both in silico and in vitro studies to be rationally combined to fill gaps in knowledge concerning toxicological events. Fundamental to this new paradigm is a greater understanding of the mechanisms of toxicity and, in particular, where these mechanisms may be conserved across taxa, such as between model animals and related wild species. This presents an opportunity to make predictions across diverse species, where empirical data are unlikely to become available as is the case for most species of wildlife.