Dataset Information

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

ABSTRACT: Ginger (Zingiber officinale Rosc.) is an important herb of the family Zingiberaceae. It is accepted as a universal cure for a multitude of diseases in Indian systems of medicine and its rhizomes are equally popular as a spice ingredient throughout Asia. SNPs, the definitive genetic markers, representing the finest resolution of a DNA sequence, are abundantly found in populations having a lower rate of mutation and are used for genomic analysis. The public ESTs sequences mostly lack quality files, making high quality SNPs detection more difficult since it is exclusively based on sequence comparisons. In the present study, current dbESTs of NCBI was 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 indels polymorphisms with a frequency of 1.61 SNPs / 10 kbp. Of ESTs libraries generated from three ginger tissues together, rhizomes had 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 10 kbp and root is showing relative frequency of 0.76/10 kbp SNPs and 0.02/10 kbp indels. The present analysis provides additional information about the tissue wise presence of haplotypes (222), distribution of high quality exonic (2355) and intronic (6455) SNPs and information about singletons (7538) in addition to contigs transitions and transversions ratio (0.57). Among all tissue detected SNPs, transversions number is higher in comparison to the number of transitions. Quality SNPs detected in this work can be used as markers for further ginger genetic experiments.

SUBMITTER: Gaur M

PROVIDER: S-EPMC4369683 | biostudies-literature | 2015

REPOSITORIES: biostudies-literature

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

Gaur Mahendra M Das Aradhana A Subudhi Enketeswara E

Bioinformation 20150228 2

Ginger (Zingiber officinale Rosc.) is an important herb of the family Zingiberaceae. It is accepted as a universal cure for a multitude of diseases in Indian systems of medicine and its rhizomes are equally popular as a spice ingredient throughout Asia. SNPs, the definitive genetic markers, representing the finest resolution of a DNA sequence, are abundantly found in populations having a lower rate of mutation and are used for genomic analysis. The public ESTs sequences mostly lack quality files ...[more]

PMID: 25848168

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Project description:BACKGROUND: With the advent of low-cost, high-throughput sequencing, the amount of public domain Expressed Sequence Tag (EST) sequence data available for both model and non-model organism is growing exponentially. While these data are widely used for characterizing various genomes, they also present a serious challenge for data quality control and validation due to their inherent deficiencies, particularly for species without genome sequences. DESCRIPTION: ConiferEST is an integrated system for data reprocessing, visualization and mining of conifer ESTs. In its current release, Build 1.0, it houses 172,229 loblolly pine EST sequence reads, which were obtained from reprocessing raw DNA sequencer traces using our software--WebTraceMiner. The trace files were downloaded from NCBI Trace Archive. ConiferEST provides biologists unique, easy-to-use data visualization and mining tools for a variety of putative sequence features including cloning vector segments, adapter sequences, restriction endonuclease recognition sites, polyA and polyT runs, and their corresponding Phred quality values. Based on these putative features, verified sequence features such as 3' and/or 5' termini of cDNA inserts in either sense or non-sense strand have been identified in-silico. Interestingly, only 30.03% of the designated 3' ESTs were found to have an authenticated 5' terminus in the non-sense strand (i.e., polyT tails), while fewer than 5.34% of the designated 5' ESTs had a verified 5' terminus in the sense strand. Such previously ignored features provide valuable insight for data quality control and validation of error-prone ESTs, as well as the ability to identify novel functional motifs embedded in large EST datasets. We found that "double-termini adapters" were effective indicators of potential EST chimeras. For all sequences with in-silico verified termini/terminus, we used InterProScan to assign protein domain signatures, results of which are available for in-depth exploration using our biologist-friendly web interfaces. CONCLUSION: ConiferEST represents a unique and complementary public resource for EST data integration and mining in conifers by reprocessing raw DNA traces, identifying putative sequence features and determining and annotating in-silico verified features. Seamlessly integrated with other public resources, ConiferEST provides biologists powerful tools to verify data, visualize abnormalities, including EST chimeras, and explore large EST datasets.

Project description:BACKGROUND:Water permeability governed by seed coat is a major facet of seed crops, especially soybean, whose seeds lack physiological dormancy and experience rapid deterioration in seed viability under prolonged storage. Moreover, the physiological and chemical characteristics of soybean seeds are known to vary with seed coat color. Thus, to underpin the genes controlling water permeability in soybean seeds, we carried out an in-depth characterization of the associated genomic variation. RESULTS:In the present study, we have analyzed genomic variation between cultivated soybean and its wild progenitor with implications on seed permeability, a trait related to seed storability. Whole genome resequencing of G.max and G. soja, identified SNPs and InDels which were further characterized on the basis of their genomic location and impact on gene expression. Chromosomal density distribution of the variation was assessed across the genome and genes carrying SNPs and InDels were characterized into different metabolic pathways. Seed hardiness is a complex trait that is affected by the allelic constitution of a genetic locus as well as by a tricky web of plant hormone interactions. Seven genes that hold a probable role in the determination of seed permeability were selected and their expression differences at different stages of water imbibition were analyzed. Variant interaction network derived 205 downstream interacting partners of 7 genes confirmed their role in seed related traits. Interestingly, genes encoding for Type I- Inositol polyphosphate 5 phosphatase1 and E3 Ubiquitin ligase could differentiate parental genotypes, revealed protein conformational deformations and were found to segregate among RILs in coherence with their permeability scores. The 2 identified genes, thus showed a preliminary association with the desirable permeability characteristics. CONCLUSION:In the light of above outcomes, 2 genes were identified that revealed preliminary, but a relevant association with soybean seed permeability trait and hence could serve as a primary material for understanding the molecular pathways controlling seed permeability traits in soybean.

Dataset Information

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

Publications

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

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