Synonymous sites for accessibility around microRNA binding sites in bacterial spot and speck disease resistance genes of tomato.

The major causes of mass tomato infections in both covered and open ground are agents of bacterial spot and bacterial speck diseases. MicroRNAs (miRNAs) are 16-21 nucleotides in length, non-coding RNAs that inhibit translation and trigger mRNA degradation. MiRNAs play a significant part in plant resistance to abiotic and biotic stresses by mediating gene regulation via post-transcriptional RNA silencing. In this study, we analyzed a collection of bacterial resistance genes of tomato and their binding sites for tomato miRNAs and Pseudomonas syringe pv. tomato miRNAs. Our study found that two genes, bacterial spot disease resistance gene (Bs4) and bacterial speck disease resistance gene (Prf), have a 7mer-m8 perfect seed match with miRNAs. Bs4 was targeted by one tomato miRNA (sly-miR9470-3p) and three Pseudomonas syringe pv. tomato miRNAs (PSTJ4_3p_27246, PSTJ4_3p_27246, and PSTJ4_3p_27246). Again, Prf gene was found to be targeted by two tomato miRNAs namely, sly-miR9469-5p and sly-miR9474-3p. The accessibility of the miRNA-target site and its flanking regions and the relationship between relative synonymous codon usage and tRNAs were compared. Strong access to miRNA targeting regions and decreased rate of translations suggested that miRNAs might be efficient in binding to their particular targets. We also found the existence of rare codons, which suggests that it could enhance miRNA targeting even more. The codon usage pattern analysis of the two genes revealed that both were AT-rich (Bs4 = 63.2%; Prf = 60.8%). We found a low codon usage bias in both genes, suggesting that selective restriction might regulate them. The silencing property of miRNAs would allow researchers to discover the involvement of plant miRNAs in pathogen invasion. However, the efficient validation of direct targets of miRNAs is an urgent need that might be highly beneficial in enhancing plant resistance to multiple pathogenic diseases.

Comparison of compositional constraints: Nuclear genome vs plasmid genome of Pseudomonas syringae pv. tomato DC3000.

Pseudomonas syringae pathovar (pv) tomato DC3000 (PsPto) causes bacterial speck disease in Solanum lycopersicum (tomato) and Arabidopsis thaliana. This bacterium has attracted a lot of attention from researchers. Codon usage bias (CUB) analysis is a helpful tool to understand the gene and genome biology of an organism and also provides insights into the evolutionary mechanism. Several studies have been conducted on different bacteria, but seldom on PsPto. In the present study, the codon usage pattern of three transcriptomes of PsPto, i.e., nuclear genome, plasmid A and plasmid B were systematically analyzed. The PsPto transcriptomes were found to be strongly biased towards G and C nucleotides at the third codon position. ENC, neutrality plots, PR2 plot and COA analysis also suggested that the CUB of PsPto is mainly affected by natural selection. A comparative analysis based on the relative codon deoptimization index (RCDI) for adaptation of plasmid A and plasmid B to the nuclear genome revealed that plasmid B was closer to the nuclear genome.

Interplay between circular RNA, microRNA, and human diseases.

Circular RNAs (circRNAs) are endogenous RNA formed by the back splicing process. They are ubiquitous, stable, evolutionally conserved, and are tissue-specific. The biochemical and molecular features of circRNAs hold the potential to be used as biomarkers in various diseases to achieve pharmacological goals. CircRNAs have numerous latent modes of action, from acting as sponges for microRNAs and RNA binding proteins to serve as transcriptional regulators, epigenetic alterations, etc. Dysregulated functioning of several circular RNAs lead to the progression of a plethora of diseases. Due to their extremely stable nature and amazing tissue specificity, circRNAs have paved the way for advanced clinical studies as a novel method of early disease detection and treatment efficacy. Therefore, they have been recognized as a latent diagnostic biomarker for neurodegenerative diseases, diabetes, osteoarthritis, and cardiovascular diseases.

Free energy of mRNA positively correlates with GC content in chloroplast transcriptomes of edible legumes.

In the present study, the results of nucleotide composition analysis showed that the legume chloroplast (cp) transcriptomes were AT rich. From the neutrality plot, we observed that natural selection might have played a major role, while mutation pressure played a minor role in the CUB of cp transcriptomes. Highly significant (p < 0.05) negative correlation was found between mRNA free energy (mFE) and scaled chi-square for entire mRNA in Cicer arietinum and Lens culinaris suggesting that the release of higher energy by entire mRNA molecule might be associated with higher degree of codon usage bias in these two crop plants. Further, highly significant (p < 0.01, p < 0.05) positive correlation of mFE for entire mRNA was found with GC3 and that of mFE for 39 bases with GC, GC1, GC2 and GC3 contents among all the legumes. This indicated that higher GC content might induce the release of more free energy by cp transcriptomes.

A report on DNA sequence determinants in gene expression.

The biased usage of nucleotides in coding sequence and its correlation with gene expression has been observed in several studies. A complex set of interactions between genes and other components of the expression system determine the amount of proteins produced from coding sequences. It is known that the elongation rate of polypeptide chain is affected by both codon usage bias and specific amino acid compositional constraints. Therefore, it is of interest to review local DNA-sequence elements and other positional as well as combinatorial constraints that play significant role in gene expression.