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Circular RNAs (circRNAs) are a large family of noncoding RNAs that have emerged as novel regulators of gene expression. However, little is known about the function of circRNAs in pancreatic β-cells. Here, transcriptomic analysis of mice pancreatic islet RNA-sequencing data identified 77 differentially expressed circRNAs between mice fed with a normal diet and a high-fat diet. Surprisingly, multiple circRNAs were derived from the intron 2 of the preproinsulin 2 (Ins2) gene and are termed as circular intronic (ci)-Ins2. The expression of ci-Ins2 transcripts in mouse pancreatic islets, and βTC6 cells were confirmed by reverse transcription PCR, DNA sequencing, and RNase R treatment experiments. The level of ci-Ins2 was altered in βTC6 cells upon exposure to elevated levels of palmitate and glucose. Computational analysis predicted the interaction of several RNA-binding proteins with ci-Ins2 and their flanking region, suggesting their role in the ci-Ins2 function or biogenesis. Additionally, bioinformatics analysis predicted the association of several microRNAs with ci-Ins2. Gene ontology and pathway analysis of genes targeted by miRNAs associated with ci-Ins2 suggested the regulation of several key biological processes. Together, our findings indicate that differential expression of circRNAs, especially ci-Ins2 transcripts, may regulate β-cell function and may play a critical role in the development of diabetes.

Simple Sequence Repeats (SSRs) developed from Expressed Sequence Tags (ESTs), known as EST-SSRs are most widely used and potentially valuable source of gene based markers for their high levels of crosstaxon portability, rapid and less expensive development. The EST sequence information in the publicly available databases is increasing in a faster rate. The emerging computational approach provides a better alternative process of development of SSR markers from the ESTs than the conventional methods. In the present study, 12,851 EST sequences of Camellia sinensis, downloaded from National Center for Biotechnology Information (NCBI) were mined for the development of Microsatellites. 6148 (4779 singletons and 1369 contigs) non redundant EST sequences were found after preprocessing and assembly of these sequences using various computational tools. Out of total 3822.68 kb sequence examined, 1636 (26.61%) EST sequences containing 2371 SSRs were detected with a density of 1 SSR/1.61 kb leading to development of 245 primer pairs. These mined EST-SSR markers will help further in the study of variability, mapping, evolutionary relationship in Camellia sinensis. In addition, these developed SSRs can also be applied for various studies across species.

The theoretical three-dimensional structure of a novel δ-endotoxin Cry1Id (81 kDa) belonging to Cry1I class, toxic to many of the lepidopteran pests has been investigated through comparative modeling. Molecular dynamics (MD) simulations was carried out to characterize its structural and dynamical features at 10 ns in explicit solvent using the GROMACS version 4.5.4. Finally the simulated model was validated by the SAVES, WHAT IF, MetaMQAP, ProQ, ModFOLD and MolProbity servers. Despite low sequence identity with its structural homologs, Cry1Id not only resembles the previously reported Cry structures but also shares the common five conserved blocks of amino acid residues. Although the domain II of Cry1Id superpose well with its closest structural homolog Cry8Ea1, variation of amino acids and length in the apical loop2 of domain II was observed. In this work, we have hypothesized that the variations in apical loop2 might be the sole factor for providing variable surface accessibility to Cry1Id protein that could be important in receptor recognition. MD simulation showed the proposed endotoxin retains its stable conformation in aqueous solution. The result from this study is expected to aid in the development hybrid Cry proteins and new potent fusion proteins with novel specificities against different insect pests for improved pest management of crop plants.