Expressed Sequence Tag Database Research Articles

In silico EST-SSR Identification and Development through EST Sequences from Metroxylon sagu Rottb. for Genetic Diversity Analysis.

Sago plant (Metroxylon sagu Rottb.) is one of the most carbohydrate-producing plants in the world. Microsatellites or simple sequence repeats (SSRs) play an important role in the genome and are used extensively compared to other molecular markers. For the first time, we are exploiting data expressed sequence tags (EST) of sago plants to identify and characterise markers in this species. EST data about sago plants are obtained through the EST database on the National Center for Biotechnology Information (NCBI) website. We obtained data of 458 Kb (412 contig) with a maximum and minimum length of 1,138 and 124 nucleotides, respectively. We successfully identified 820 perfectly patterned SSR using Phobos 3.3.12 software. The type characterisation of EST-SSR was dominated by tri-nucleotides 36% (294), followed by hexa-nucleotides 24% (202), tetra-nucleotides 15% (120), penta-nucleotides 13% (108) and di-nucleotides 12% (96). The most frequency of SSR motifs in each type is AG, AAG and AAAG. Analysis of synteny on the EST sequence with the online application Phytozome found that sequences were distributed on 12 Oryza sativa chromosomes with a likeness percentage between 63% to 100% and e-value between 0 to 0.094. We developed the primer and generated 19 primers. Furthermore, we validated 7 primers that all generated polymorphic alleles. To our knowledge, this report is the first identification and characterisation of EST-SSR for sago species and these markers can be used for genetic diversity analysis, marker assisted selection (MAS), cultivar identification, kinship analysis and genetic mapping analysis.

Presence of p25alpha-Domain in Seed Plants (Spermatophyta): Microbial/Animal Contaminations and/or Orthologs.

Genome and transcriptome assembly data often contain DNA and RNA contaminations from external organisms, introduced during nucleotide extraction or sequencing. In this study, contamination of seed plant (Spermatophyta) transcriptomes/genomes with p25alpha domain encoding RNA/DNA was systematically investigated. This domain only occurs in organisms possessing a eukaryotic flagellum (cilium), which seed plants usually do not have. Nucleotide sequences available at the National Center for Biotechnology Information website, including transcriptome shotgun assemblies (TSAs), whole-genome shotgun contigs (WGSs), and expressed sequence tags (ESTs), were searched for sequences containing a p25alpha domain in Spermatophyta. Despite the lack of proteins containing the p25alpha domain, such fragments or complete mRNAs in some EST and TSA databases were found. A phylogenetic analysis showed that these were contaminations whose possible sources were microorganisms (flagellated fungi, protists) and arthropods/worms; however, there were cases where it cannot be excluded that the sequences found were genuine hits and not of external origin.

In silico Identification of miRNAs and Their Targets in Cluster Bean for Their Role in Development and Physiological Responses.

Cluster bean popularly known as “guar” is a drought-tolerant, annual legume that has recently emerged as an economically important crop, owing to its high protein and gum content. The guar gum has wide range of applications in food, pharma, and mining industries. India is the leading exporter of various cluster bean-based products all across the globe. Non-coding RNAs (miRNAs) are involved in regulating the expression of the target genes leading to variations in the associated pathways or final protein concentrations. The understanding of miRNAs and their associated targets in cluster bean is yet to be used to its full potential. In the present study, cluster bean EST (Expressed Sequence Tags) database was exploited to identify the miRNA and their predicted targets associated with metabolic and biological processes especially response to diverse biotic and abiotic stimuli using in silico approach. Computational analysis based on cluster bean ESTs led to the identification of 57 miRNAs along with their targets. To the best of our knowledge, this is the first report on identification of miRNAs and their targets using ESTs in cluster bean. The miRNA related to gum metabolism was also identified. Most abundant miRNA families predicted in our study were miR156, miR172, and miR2606. The length of most of the mature miRNAs was found to be 21nt long and the range of minimal folding energy (MFE) was 5.8–177.3 (−kcal/mol) with an average value of 25.4 (−kcal/mol). The identification of cluster bean miRNAs and their targets is predicted to hasten the miRNA discovery, resulting in better knowledge of the role of miRNAs in cluster bean development, physiology, and stress responses.

SilkBase: an integrated transcriptomic and genomic database for Bombyx mori and related species.

We introduce SilkBase as an integrated database for transcriptomic and genomic resources of the domesticated silkworm Bombyx mori and related species. SilkBase is the oldest B. mori database that was originally established as the expressed sequence tag database since 1999. Here, we upgraded the database by including the datasets of the newly assembled B. mori complete genome sequence, predicted gene models, bacterial artificial chromosome (BAC)-end and fosmid-end sequences, complementary DNA (cDNA) reads from 69 libraries, RNA-seq data from 10 libraries, PIWI-interacting RNAs (piRNAs) from 13 libraries, ChIP-seq data of 9 histone modifications and HP1 proteins and transcriptome and/or genome data of four B. mori-related species, i.e. Bombyx mandarina, Trilocha varians, Ernolatia moorei and Samia ricini. Our new integrated genome browser easily provides a snapshot of tissue- and stage-specific gene expression, alternative splicing, production of piRNAs and histone modifications at the gene locus of interest. Moreover, SilkBase is useful for performing comparative studies among five closely related lepidopteran insects. Database URL: https://silkbase.ab.a.u-tokyo.ac.jp

Von Willebrand factor D and EGF domains regulate ameloblast differentiation and enamel formation.

Cell- and tissue-specific extracellular matrix (ECM) composition plays an important role in organ development, including teeth, by regulating cell behaviors, such as cell proliferation and differentiation. Here, we demonstrate for the first time that von Willebrand factor D and epidermal growth factor (EGF) domains (Vwde), a previously uncharacterized ECM protein, is specifically expressed in teeth and regulates cell proliferation and differentiation in inner enamel epithelial cells (IEEs) and enamel formation. We identified the Vwde as a novel ECM protein through bioinformatics using the NCBI expressed sequence tag database for mice. Vwde complementary DNA encodes 1773 amino acids containing a signal peptide, a von Willebrand factor type D domain, and tandem calcium-binding EGF-like domains. Real-time polymerasechain reaction demonstrated that Vwde is highly expressed in tooth tissue but not in other tissues including the brain, lung, heart, liver, kidney, and bone. In situ hybridization revealed that the IEEs expressed Vwde messenger RNA in developing teeth. Immunostaining showed that VWDE was localized at the proximal and the distal ends of the pericellular regions of the IEEs. Vwde was induced during the differentiation of mouse dental epithelium-derived M3H1 cells. Vwde-transfected M3H1 cells secreted VWDE protein into the culture medium and inhibited cell proliferation, whereas ameloblastic differentiation was promoted. Furthermore, Vwde increased the phosphorylation of extracellular signal-regulated kinase 1/2 and protein kinase B and strongly induced the expression of the intercellular junction protein, N-cadherin (Ncad). Interestingly, the suppression of endogenous Vwde inhibited the expression of Ncad. Finally, we created Vwde-knockout mice using the CRISPR-Cas9 system. Vwde-null mice showed low mineral density, rough surface, and cracks in the enamel, indicating the enamel hypoplasia phenotype. Our findings suggest that Vwde assembling the matrix underneath the IEEs is essential for Ncad expression and enamel formation.

English

It is very important to establish an optimal seed priming process in order to increase the vitality of the seeds and promote the metabolism for the germination of the seeds. The optimum concentrations and species of priming agents to improve seed germination of both medicinal plants were also estimated. To improve the germination rate of Perilla frutescens(Korean perilla) seeds, various seed priming agents were used to analyze seed germination rates in the Saeyeopsil, Okdong and 141 collection Korean perilla cultivars. The agents used for seed priming were CaCl2, Ca(NO3)2, NaCl, K3PO4, polyethylene glycol, and gibberellic acid (GA3). When 0.1 mMGA3was used for seed priming, germination rates of Okdong, and the 141 collection showed a greater than 70% increase compared to the controls. Nine genes were selected for expression analysis by searching for genes related to seed germination and plant development in the EST(Expressed Sequence Tag) database of the Korean perilla cDNA library. GA3priming treatment for 1 d induced higher transcriptional levels of genes related to germination and plant developmentthan controls treated with water only. These genes were identified as protochlorophyllide reductase-like, magnesium-chelatase subunit ChlI, heme-binding protein 2-like, glyceraldehyde 3-phosphate dehydrogenase A, Chlorophyll a-b binding protein 6, B2 protein, 2-Cys peroxiredoxin BAS1, and 21 kDa protein. From these results, we suggest that when priming Korean perilla seeds with GA3, a large number of genes involved in plant development at early stages of seed germination play a role in improving the seed germination rate. Also, these induced genes are ideal candidate biomarkers for seed priming of Korean perilla. Specially, protochlorophyllide reductase-like is thought to be a potential gene for future molecular marker.© 2021 Friends Science Publishers

In silico prediction of conserved microRNAs and their targets from the Asian rice gall midge (Orseolia oryzae) expressed sequence tags

Using computational tools, the expressed sequence tags (EST) database of the rice gall midge Orseolia oryzae, a major insect pest of rice, was analyzed to predict non-coding RNAs involved in regulation of different biological processes. Using a simple protocol pipeline 10 miRNA families along with other non-coding RNAs (snRNAs, rRNAs, snoRNAs and others) were predicted. ncRNAs are mainly associated with transcription, translation, splicing and nuclear export. The predicted targets of these 10 miRNAs could be further divided into 8 functional categories after Gene Ontology analysis. These miRNAs pertain to categories that are known to control a variety of biological processes mainly related to development, genes and neurotransmitters related to the CNS maintenance and signalling within the cell. This was further corroborated with stem loop RT-PCR analysis of their expression in maggots and pupae of the insect. Data presented demonstrate that EST database of organisms could be put to use to predict conserved miRNAs and their putative targets. Further, results from the current study indicate that such studies involving prediction and/or identification of miRNAs and other non-coding RNAs as regulators within the Asian rice gall midge genome would help better understand gall midge-rice interactions.

Development and characterization of EST-SSR markers for Camellia reticulata.

Premise Camellia reticulata, which is native to southwestern China, is an economically important plant belonging to the family Theaceae. We developed expressed sequence tag–simple sequence repeat (EST‐SSR) markers for C. reticulata, which can be used to investigate its genetic diversity, population structure, and evolutionary history.Methods and ResultsWe detected 4780 SSRs in C. reticulata from Camellia RNA‐Seq data deposited in the National Center for Biotechnology Information's expressed sequence tags database (dbEST). Primer pairs for 70 SSR loci were designed and used for PCR amplification using 90 individuals from four populations of C. reticulata. Of these loci, 50 microsatellite markers were successfully identified, including 11 polymorphic markers. The allele number per locus ranged from two to seven (mean = 4.182), and the levels of observed and expected heterozygosity ranged from 0.044 to 0.567 and from 0.166 to 0.642, respectively. Eleven primer pairs amplified PCR products in three other species of Camellia (C. saluenensis, C. pitardii, and C. yunnanensis).ConclusionsThe set of microsatellite markers developed here can be used to study the genetic variation and population structure of C. reticulata and related species and thereby help to develop conservation strategies for this species.

Identification of KLRC2 as a candidate marker for brain tumor-initiating cells

ABSTRACTObjective: Brain tumor-initiating cells are characterized by their features of self-renewal, multi-lineage differentiation, and tumorigenicity. We analyzed the gene expression of brain tumor-initiating cells to identify their novel cellular markers.Methods: We performed cDNA microarray, in silico expressed sequence tags (ESTs), RT-PCR, and q-PCR analyses.Results: We identified 10 genes that were more highly expressed in brain tumor-initiating cells than in neural stem cells. In addition, we identified 10 other genes that were more highly expressed in brain tumor-initiating cells than in glioma cell line cells from the cDNA microarray analysis. Using the EST database, we looked to see if the 20 genes were expressed more highly in gliomas, compared with normal adult brains. Among the 20 genes, five (KLRC2, HOXB2, KCNJ2, KLRC1, and COL20A1) were expressed more than twice in glioma samples, compared with normal adult brains, and, therefore, were referred for further evaluation. RT-PCR was conducted using cDNA samples obtained from neural stem cells, normal brain tissue, fetal brain tissue, glioma cell lines, and glioma tumor-initiating cell lines. KLRC2, a transmembrane activating receptor in natural killer cells, was expressed more highly in glioma-initiating cells than in neural stem cell lines or normal adult brain tissue. The q-PCR analysis revealed that expression of KLRC2 was significantly higher in brain tumor-initiating cells compared to normal brain controls.Conclusion: KLRC2 could be a novel cellular marker for brain tumor-initiating cells.

Biosynthetic Short Neuropeptides: A Rational Theory Based on Experimental Results for the Missing Pain-Relief Opioid Endomorphin Precursor Gene.

Endomorphins are neuropeptides that bind strongly to μ-opioid receptors and are considered to play important roles in pain modulation and other biological functions. Two endomorphins have been identified, to date, endomorphine-1 and -2; both are tetrapeptides and differ by only a single amino acid in the third position. Both peptides were isolated from bovine brains; however, their precursor genes have not been identified. In this study, a nucleotide sequence corresponding to the endomorphin-1 peptide in an expressed sequence tag database has been found and a preproendomorphin-like precursor peptide from human brain complementary DNA (cDNA) has been cloned. The cDNA consists of nucleotide sequences of two already annotated predicted genes, and the putative peptide differs by one amino acid from the isolated endomorphin peptides. It is proposed herein that there is the possibility of unknown short proteins or peptide precursors being missed by automated gene prediction programs based on similarities of known protein sequences. A novel concept of how to produce endomorphins from a similar peptide is described. The oxidatively modified base might provide a clue for understanding discrepancies between nucleotide sequences on the genome and those on cDNAs.

Characterization of a Novel Ourmia-Like Mycovirus Infecting Magnaporthe oryzae and Implications for Viral Diversity and Evolution.

Here, the molecular characterization of a novel mycovirus that was isolated from a phytopathogenic fungus Magnaporthe oryzae and designed as Magnaporthe oryzae ourmia-like virus 4 (MOLV4) is reported. MOLV4 has a genome that is 2497 bp long and possesses a single open reading frame (ORF), which encodes the product RNA-dependent RNA polymerase (RdRp). Sequence similarities were found between the MOLV4 encoded RdRp and the counterparts of a few previously reported ourmia-like mycoviruses. Virus-curing and biological comparison indicate that the virus has no or mild effects on the morphology and mycelium growth rate of the host fungus. Phylogenetic analysis using the RdRp aa sequences was performed. The results show that MOLV4 is clustered with the ourmia-like mycoviruses, forming a clade closely related to ourmiaviruses but distinct from narnaviruses. In addition, database searches revealed that several MOLV4-related sequences are present in the transcriptome shotgun assembly (TSA) library, expressed sequence tag database (ESTdb), whole-genome shotgun (WGS) library, and genomic survey sequences (GSS) libraries of a few other species of eukaryote organisms. Our results show that MOLV4, together with other similar ourmia-like mycoviruses, might represent a virus clade that links the plant ourmiaviruses and fungal narnaviruses and has a wide range of hosts.

Development and validation of whole genome-wide and genic microsatellite markers in oil palm (Elaeis guineensis Jacq.): First microsatellite database (OpSatdb)

The availability of large expressed sequence tag (EST) and whole genome databases of oil palm enabled the development of a data base of microsatellite markers. For this purpose, an EST database consisting of 40,979 EST sequences spanning 27 Mb and a chromosome-wise whole genome databases were downloaded. A total of 3,950 primer pairs were identified and developed from EST sequences. The tri and tetra nucleotide repeat motifs were most prevalent (each 24.75%) followed by di-nucleotide repeat motifs. Whole genome-wide analysis found a total of 245,654 SSR repeats across the 16 chromosomes of oil palm, of which 38,717 were compound microsatellite repeats. A web application, OpSatdb, the first microsatellite database of oil palm, was developed using the PHP and MySQL database (https://ssr.icar.gov.in/index.php). It is a simple and systematic web-based search engine for searching SSRs based on repeat motif type, repeat type, and primer details. High synteny was observed between oil palm and rice genomes. The mapping of ESTs having SSRs by Blast2GO resulted in the identification of 19.2% sequences with gene ontology (GO) annotations. Randomly, a set of ten genic SSRs and five genomic SSRs were used for validation and genetic diversity on 100 genotypes belonging to the world oil palm genetic resources. The grouping pattern was observed to be broadly in accordance with the geographical origin of the genotypes. The identified genic and genome-wide SSRs can be effectively useful for various genomic applications of oil palm, such as genetic diversity, linkage map construction, mapping of QTLs, marker-assisted selection, and comparative population studies.

Identification and functional analyses of new sesame miRNAs (Sesamum indicum L.) and their targets

Plant microRNAs (miRNAs) have been commonly investigated during many years. Hundreds of miRNAs have been identified in many different plant species but there is very little information about the function of sesame (Sesamum indicum L.) miRNAs. For this purpose, in silico prediction of novel sesame miRNAs based on BLAST searches of the expressed sequence tag database was performed, using stringent criterias for miRNA annotation. The secondary structures of their precursor sequences, potential target genes of conserved and novel miRNAs were predicted and subjected to Gene Ontology (GO) annotation. mir447 and mir8140 were reported for the first time in sesame. Enrichment analysis of the GO with biological processes, cellular component and molecular functions revealed that these target genes were potentially involved in different metabolic pathways such as transcription factors, metabolism, growth and development, stress-related and even plant hormones. Results are valuable for figure out the gene regulation mechanism in sesame, using in the medicinal aspect of this plant species. Furthermore, these miRNAs and their profiled targets could provide the improvement of regulation and management, and even development of desirable traits in this plant.

Low assimilation efficiency of photorespiratory ammonia in conifer leaves.

Glutamine synthetase (GS) localized in the chloroplasts, GS2, is a key enzyme in the assimilation of ammonia (NH3) produced from the photorespiration pathway in angiosperms, but it is absent from some coniferous species belonging to Pinaceae such as Pinus. We examined whether the absence of GS2 is common in conifers (Pinidae) and also addressed the question of whether assimilation efficiency of photorespiratory NH3 differs between conifers that may potentially lack GS2 and angiosperms. Search of the expressed sequence tag database of Cryptomeria japonica, a conifer in Cupressaceae, and immunoblotting analyses of leaf GS proteins of 13 species from all family members in Pinidae revealed that all tested conifers exhibited only GS1 isoforms. We compared leaf NH3 compensation point (γNH3) and the increments in leaf ammonium content per unit photorespiratory activity (NH3 leakiness), i.e. inverse measures of the assimilation efficiency, between conifers (C. japonica and Pinus densiflora) and angiosperms (Phaseolus vulgaris and two Populus species). Both γNH3 and NH3 leakiness were higher in the two conifers than in the three angiosperms tested. Thus, we concluded that the absence of GS2 is common in conifers, and assimilation efficiency of photorespiratory NH3 is intrinsically lower in conifer leaves than in angiosperm leaves. These results imply that acquisition of GS2 in land plants is an adaptive mechanism for efficient NH3 assimilation under photorespiratory environments.

Initial characterization of newly identified mitochondrial and chloroplast small HSPs from sugarcane shows that these chaperones have different oligomerization states and substrate specificities

Chaperones belonging to the small heat shock protein (sHSP) family are ubiquitous and exhibit elevated expression under stresses conditions to protect proteins against aggregation, thereby contributing to the stress tolerance of the organism. Tropical plants are constantly exposed to high temperatures, and the mechanisms by which these plants tolerate heat stress are of foremost importance to basic science as well as applied agrobiotechnology. Therefore, this study aims to characterize sHSPs from different organelles from sugarcane, an important crop that is associated with sugar and bioenergy production. An expression sequence tag database of sugarcane was searched, and sHsp genes of mitochondrial and chloroplast organelles were selected and cloned. The proteins were expressed in Escherichia coli and isolated and purified by two chromatographic steps with high purity as single species. Circular dichroism and fluorescence spectroscopy showed that both proteins were purified in their folded states with a predominant β-sheet secondary structure. Determination of the molecular weight, diffusion coefficient and Stokes radius parameters showed that both chaperones form large spherical-like oligomers in solution. The two sHSPs had different oligomeric states and substrate specificities. The mitochondrial sHSP was a 20-mer with ability to protect model substrates that differ from that of the 16-meric sHSP from chloroplasts. These results indicate that both sHSPs are key agents to protect against stress confirming the importance of the great diversity of sHSP chaperones in plants for homeostasis maintenance. Moreover, to our knowledge, this is the first report about small HSPs from sugarcane organelles.

Expression pattern of human SERPINE2 in a variety of human tumors.

Serine proteinase inhibitor, clade E member 2 (SERPINE2), also known as protease nexin-1 (PN-1), is a member of the serpin family. Despite several reported roles of SERPINE2 in tumor development the histological distribution of SERPINE2 and its expression levels in a large variety of tumors remains unclear. Through expressed sequence tag database analysis, immunohistochemical staining of tissue microarrays and a literature review, it was revealed that SERPINE2 expression varied according to growth stages and tissue types. SERPINE2 is differentially expressed in a number of tumors and their normal tissue counterparts. SERPINE2 is identified most abundantly in adenocarcinomas. SERPINE2 serves diverse roles in a variety of tumors and therefore may serve as a promising biomarker for tumor diagnosis and prognosis.

Bioinformatic identification and expression analysis of new microRNAs from wheat (Triticum aestivum L.)

As an essential regulatory component in plants, microRNAs (miRNAs) have been intensively studied over the past decade. Although hundreds of miRNAs have been identified and analyzed in many important crops and model plants, very little is known about the function of common wheat (Triticum aestivum L.) miRNAs. In this study, we performed computational prediction of novel wheat miRNAs based on BLAST searches of the expressed sequence tag database. The expression profiles of all miRNAs were performed for both vegetative and reproductive tissues to identify developmentally regulated miRNAs. A total of 19 new miRNAs belonging to 12 MIR families were identified using stringent criteria for miRNA annotation. For all of the miRNAs, the secondary structures of their precursor sequences were predicted. Two pairs of distinct miRNAs were found to be located on the same precursor. The predicted miRNAs were experimentally verified by a stem-loop qRT-PCR-based assay. The expression profiles were performed in both vegetative and reproductive tissues to find the potential correlations between the developmental phase and miRNA activity. Thirteen out of 19 miRNAs were upregulated at certain phases of plant development, and three of them (miR319, miR395, and miR171) showed the greatest expression in young spikes during microsporogenesis. Our results provide useful information for future studies of miRNA-mediated regulation of flower and grain development in wheat.

In Silico Identification and Validation of Potential microRNAs in Kinnow Mandarin (Citrus reticulata Blanco).

MicroRNAs (miRNAs) are a large family of 19-25 nucleotides, regulatory, non-coding RNA molecules that control gene expression by cleaving or inhibiting the translation of target gene transcripts in animals and plants. Despite the important functions of miRNAs related to regulation of plant growth and development processes, metabolism, and abiotic and biotic stresses, little is known about the disease-related miRNA. Here, we present a new pipeline for miRNA analysis using expressed sequence tags (ESTs)-based bioinformatics approach in Kinnow mandarin, a commercially important citrus fruit crop. For this, 56,041 raw EST sequences of Citrus reticulata Blanco were retrieved from EST database in NCBI through step-by-step filtering and processing methods and 130 miRNAs were predicted. Upon blast with Citrus sinensis transcriptome data, these produced potential targets related to disease resistance proteins, pectin lyase-like superfamily proteins, lateral organ boundaries (LOB) domain-containing proteins 11, and protein phosphatase 2C family proteins, protein kinases, dehydrogenases, and methyltransferases. Majority of the predicted miRNAs were of 22, 23, and 24 nucleotides in length. To validate these computationally predicted miRNA, poly(A)-tailed Reverse Transcription-PCR was applied to detect the expression of seven miRNA which showed disease-related potential targets, in citrus greening diseased leaf tissues in comparison to the healthy tissues of Kinnow mandarin. Our study provides information on regulatory roles of these potential miRNAs for the citrus greening disease development, miRNA targets, and would be helpful for future research of miRNA function in citrus.

Computational Identification of MicroRNAs and Their Transcript Target(s) in Field Mustard (Brassica rapa L.).

Background Micro RNAs (miRNAs) are a pivotal part of non-protein-coding endogenous small RNA molecules that regulate the genes involved in plant growth and development, and respond to biotic and abiotic environmental stresses posttranscriptionally. Objective In the present study, we report the results of a systemic search for identification of new miRNAs in B. rapa using homology-based ESTs (Expressed Sequence Tags) analysis and considering a series of fi ltration criteria. Materials and Methods Plant mature miRNA sequences were searched in non-protein coding ESTs registered in NCBI EST database. Zuker RNA folding algorithm was used to generate the secondary structures of the ESTs. Potential sequences were candidate as miRNA genes and characterized evolutionarily only and if only they fi t some described criteria. Also, the web tool psRNATarget was applied to predict candidate B. rapa miRNA targets. Results In this study, 10 novel miRNAs from B. rapa belonging to 6 miRNA families were identified using EST-based homology analysis by considering a series of fi ltration criteria. All potent miRNAs appropriate fold back structure. Several potential targets with known/unknown functions for these novel miRNAs were identified. The target genes mainly encode transcription factors, enzymes, DNA binding proteins, disease resistance proteins, carrier proteins and other biological processes. Conclusions MicroRNA having diverse functions in plant species growth, development and evolution by posttranscriptionally regulating the levels of specific transcriptome so by effecting on their translation products. Research in miRNA led to the identification of many miRNAs and their regulating genes from diverse plant species.

Analysis of Expressed Sequence Tags (EST) in Date Palm.

Expressed sequence tags (EST) were generated from a normalized cDNA library of the date palm Sukkari cv. to understand the high-quality and better field performance of this well-known commercial cultivar. A total of 6943 high-quality ESTs were generated, out of them 6671 are submitted to the GenBank dbEST (LIBEST_028537). The generated ESTs were assembled into 6362 unigenes, consisting of 494 (14.4%) contigs and 5868 (84.53%) singletons. The functional annotation shows that the majority of the ESTs are associated with binding (44%), catalytic (40%), transporter (5%), and structural molecular (5%) activities. The blastx results show that 73% of unigenes are significantly similar to known plant genes and 27% are novel. The latter could be of particular interest in date palm genetic studies. Further analysis shows that some ESTs are categorized as stress/defense- and fruit development-related genes. These newly generated ESTs could significantly enhance date palm EST databases in the public domain and are available to scientists and researchers across the globe. This knowledge will facilitate the discovery of candidate genes that govern important developmental and agronomical traits in date palm. It will provide important resources for developing genetic tools, comparative genomics, and genome evolution among date palm cultivars.