Identification of two putative novel deltapartitiviruses and an enamovirus in coriander transcriptomes.

Coriander is a herbaceous spice and condiment crop also known for its medicinal properties. The present study identified two putative novel deltapartitiviruses and an enamovirus tentatively named as Coriandrum sativum deltapartitivirus 1, 2 (CsDPV1, 2) and Coriandrum sativum enamovirus (CsEV) in the publicly available transcriptome-assembled contigs derived from coriander grown in India. CsDPV1 and 2 contained tripartite and bipartite genomes, respectively, with each genome segment encoding a single open reading frame (ORF).

"KRiShI": a manually curated knowledgebase on rice sheath blight disease.

Knowledgebase for rice sheath blight information (KRiShI) is a manually curated user-friendly knowledgebase for rice sheath blight (SB) disease that allows users to efficiently mine, visualize, search, benchmark, download, and update meaningful data and information related to SB using its easy and interactive interface. KRiShI collects and integrates widely scattered and unstructured information from various scientific literatures, stores it under a single window, and makes it available to the community in a user-friendly manner. From basic information, best management practices, host resistance, differentially expressed genes, proteins, metabolites, resistance genes, pathways, and OMICS scale experiments, KRiShI presents these in the form of easy and comprehensive tables, diagrams, and pictures.

Exploring the medicinally important secondary metabolites landscape through the lens of transcriptome data in fenugreek (Trigonella foenum graecum L.).

Fenugreek (Trigonella foenum-graecum L.) is a self-pollinated leguminous crop belonging to the Fabaceae family. It is a multipurpose crop used as herb, spice, vegetable and forage.

Development and characterization of genic SSR-FDM for stem gall disease resistance in coriander (Coriandrum sativum L.) and its cross species transferability.

Coriander (Coriandrum sativum L.) is well known vegetable and spice crop grown globally for its leaves and seeds. Stem gall (Protomyces macrosporus L.

A knowledge-driven protocol for prediction of proteins of interest with an emphasis on biosynthetic pathways.

This protocol describes a stepwise process to identify proteins of interest from a query proteome derived from NGS data. We implemented this protocol on transcriptome to identify proteins involved in secondary metabolite and vitamin biosynthesis and ion transport. This knowledge-driven protocol identifies proteins using an integrated approach involving sensitive sequence search and evolutionary relationships.

Identification and expression analysis of candidate genes associated with stem gall disease in Coriander (Coriandrum sativum L.) cultivars.

Coriander (Coriandrum sativum L.) is a well-known spice and aromatic crop cultivated globally. Stem gall disease is one of the major constraints for its leaf and seed quality used for consumption and also affecting the yield.

Identification of QTLs in oil palm ( Jacq.) using SSR markers through association mapping.

Oil palm ( Jacq.) is a perennial vegetable and a high oil-yielding crop (4-6 t/ha). There is a large scope for increasing the oil yield by selecting elite planting material for breeding programme in germplasm evaluation, characterization and utilization.

Dataset for the combined transcriptome assembly of and functional annotation.

In this paper, we present the data acquired during transcriptome analysis of the Moringa oleifera [1] from five different tissues (root, stem, leaf, flower and seed) by RNA sequencing. A total of 271 million reads were assembled with an N50 of 2094 bp. The combined transcriptome was assessed for transcript abundance across five tissues.

Transcriptome analysis of finger millet ( (L.) Gaertn.) reveals unique drought responsive genes.

Finger millet ( (L.) Gaertn.), an important C4 species is known for its stress hardiness and nutritional significance.

The transcriptome enables the identification of candidate genes behind medicinal value of Drumstick tree (Moringa oleifera).

Moringa oleifera is a plant well-known for its nutrition value, drought resistance and medicinal properties. cDNA libraries from five different tissues (leaf, root, stem, seed and flower) of M. oleifera cultivar Bhagya were generated and sequenced.

Transcriptome profiling of coriander: a dual purpose crop unravels stem gall resistance genes.

Stem gall ( Unger), a serious disease that affects leaves, petioles, stems and fruits of coriander ( L.) causing heavy loss in yield. Genetic improvement of coriander for stem gall disease is indispensable.

Decoding systems biology of plant stress for sustainable agriculture development and optimized food production.

Plants are essential facilitators of human life on planet earth. Plants play a critical functional role in mediating the quality of air, availability of food and the sustainability of agricultural resources. However, plants are in constant interaction with its environment and often hampered by various types of stresses like biotic and abiotic ones.

Identification of In-Vitro Red Fluorescent Protein with Antipathogenic Activity from the Midgut of the Silkworm (Bombyx Mori L.).

Background: The midgut of silkworm (Bombyx mori L.) plays an important role as a natural barrier and source of innate immunity. We had purified the novel red fluorescent protein (RFP) from the midgut of the silkworm Bombyx mori L.

An Approach to Function Annotation for Proteins of Unknown Function (PUFs) in the Transcriptome of Indian Mulberry.

The modern sequencing technologies are generating large volumes of information at the transcriptome and genome level. Translation of this information into a biological meaning is far behind the race due to which a significant portion of proteins discovered remain as proteins of unknown function (PUFs). Attempts to uncover the functional significance of PUFs are limited due to lack of easy and high throughput functional annotation tools.

Genome sequencing of herb Tulsi (Ocimum tenuiflorum) unravels key genes behind its strong medicinal properties.

Background: Krishna Tulsi, a member of Lamiaceae family, is a herb well known for its spiritual, religious and medicinal importance in India. The common name of this plant is 'Tulsi' (or 'Tulasi' or 'Thulasi') and is considered sacred by Hindus. We present the draft genome of Ocimum tenuiflurum L (subtype Krishna Tulsi) in this report.

POEAS: Automated Plant Phenomic Analysis Using Plant Ontology.

Biological enrichment analysis using gene ontology (GO) provides a global overview of the functional role of genes or proteins identified from large-scale genomic or proteomic experiments. Phenomic enrichment analysis of gene lists can provide an important layer of information as well as cellular components, molecular functions, and biological processes associated with gene lists. Plant phenomic enrichment analysis will be useful for performing new experiments to better understand plant systems and for the interpretation of gene or proteins identified from high-throughput experiments.

Comparative analyses of stress-responsive genes in Arabidopsis thaliana: insight from genomic data mining, functional enrichment, pathway analysis and phenomics.

Biotic and abiotic stresses adversely affect agriculture by reducing crop growth and productivity worldwide. To investigate the abiotic stress-responsive genes in Arabidopsis thaliana, we compiled a dataset of stress signals and differentially upregulated genes (>= 2.5 fold change) from Stress-responsive transcription Factors DataBase (STIFDB) with additional set of stress signals and genes curated from PubMed and Gene Expression Omnibus.

STIFDB2: an updated version of plant stress-responsive transcription factor database with additional stress signals, stress-responsive transcription factor binding sites and stress-responsive genes in Arabidopsis and rice.

Understanding the principles of abiotic and biotic stress responses, tolerance and adaptation remains important in plant physiology research to develop better varieties of crop plants. Better understanding of plant stress response mechanisms and application of knowledge derived from integrated experimental and bioinformatics approaches are gaining importance. Earlier, we showed that compiling a database of stress-responsive transcription factors and their corresponding target binding sites in the form of Hidden Markov models at promoter, untranslated and upstream regions of stress-up-regulated genes from expression analysis can help in elucidating various aspects of the stress response in Arabidopsis.