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It is of interest to describe the distinctive features gleaned from the comparative genome analysis of clinical and non-clinical isolates of Klebsiella pneumoniae. The core genome of K. pneumoinae consisted of 3568 genes. Comparative genome analysis shows that mdtABCD, toxin-antitoxin systems are unique to clinical isolates and catB, benA, and transporter genes for citrate utilization are exclusive to non-clinical isolates. We further noted aromatic compound degrading genes in non-clinical isolates unlike in the later isolates. We grouped 88 core genes into 3 groups linked to infections, drug-resistance or xenobiotic metabolism using codon usage variation analysis. It is inferred using the neutrality plot analysis of GC12 with GC3 that codon usage variation is dominant over mutation pressure. Thus, we document data to distinguish clinical and non-clinical isolates of K. pneumoniae using comparative genomes analysis for understanding of genome diversity during speciation.

The basic sequence features were analysed that influence gene expression via codon usage bias of the selected forty coding sequences of Homo sapiens in a simple prokaryotic model i.e. E. coli K-12 genome. The prime objective was to elucidate the interrelationships among tRNA gene copy numbers, synonymous codons, amino acids and translational efficiency using tRNA adaptation index. It was evident from RSCU scores and principal component analysis, that only those preferred codons were used by the isoacceptor tRNAs that had G and C base at their third codon position. Relationship between tRNA adaptation index and amino acids, revealed that valine, arginine, serine and isoleucine showed significant positive correlation with gene expression. Therefore, it could be inferred that GC content in these genes might have the major role in shaping the codon bias and affecting the translational efficiency of the coding sequences.

Background: SPANX (sperm protein coupled with the nucleus in the X chromosome) genes play a crucial role in human spermatogenesis. Codon usage bias (CUB) is a well-known phenomenon that exists in many genomes and mainly determined by mutation and selection. CUB is species specific and a unique characteristic of a genome. Analysis of compositional features and codon usage pattern of SPANX genes in human has contributed to explore the molecular biology of this gene. In our current study, we have retrieved the sequences of different variants of SPANX gene from NCBI using accession number and a perl script was used to analyze the nucleotide composition and the parameters for codon usage bias. Results: Our results showed that codon usage bias is low as measured by codon bias index (CBI) and most of the GC ending codons were positively correlated with GC bias as indicated by GC3. That mutation pressure and natural selection affect the codon usage pattern were revealed by correspondence analysis (COA) and neutrality plot. Moreover, the neutrality plot further suggested that the role of natural selection is higher than mutation pressure on SPANX genes. Conclusions: The codon usage bias in SPANX genes is not very high and the role of natural selection dominates over mutation pressure in the codon usage of human SPANX genes.

Background: Mitochondrial ND gene, which encodes NADH dehydrogenase, is the first enzyme of the mitochondrial electron transport chain. Leigh syndrome, a neurodegenerative disease caused by mutation in the ND2 gene (T4681C), is associated with bilateral symmetric lesions in basal ganglia and subcortical brain regions. Therefore, it is of interest to analyze mitochondrial DNA to glean information for evolutionary relationship. This study highlights on the analysis of compositional dynamics and selection pressure in shaping the codon usage patterns in the coding sequence of MT-ND2 gene across pisces, aves and mammals by using bioinformatics tools like effective number of codons (ENC), codon adaptation index (CAI), relative synonymous codon usage (RSCU) etc. Results: We observed a low codon usage bias as reflected by high ENC values in MT-ND2 gene among pisces, aves and mammals. The most frequently used codons were ending with A/C at the 3rd position of codon and the gene was AT rich in all the three classes. The codons TCA, CTA, CGA and TGA were over represented in all three classes. The F1 correspondence showed significant positive correlation with G, T3 and CAI while the F2 axis showed significant negative correlation with A and T but significant positive correlation with G, C, G3, C3, ENC, GC, GC1, GC2 and GC3. Conclusions: The codon usage bias in MTND2 gene is not associated with expression level. Mutation pressure and natural selection affect the codon usage pattern in MT-ND 2 gene.

Cystic fibrosis (CF) is an autosomal recessive disease caused by mutations in the cystic fibrosis transmembrane conductance regulator gene. This gene encodes a protein involved in epithelial anion channel. Cystic fibrosis is the most common life-limiting genetic disorder in Caucasians; it also affects other ethnic groups like the Blacks and the Native Americans. Cystic fibrosis is considered to be rare among individuals from the Indian subcontinent. We analyzed a total of 29 world׳s populations for cystic fibrosis on the basis of gene frequency and heterozygosity. Among 29 countries Switzerland revealed the highest gene frequency and heterozygosity for CF (0.022, 0.043) whereas Japan recorded the lowest values (0.002, 0.004) followed by India (0.004, 0.008). Our analysis suggests that the prevalence of cystic fibrosis is very low in India.

Mitogen activated protein kinase (MAPK) genes provide resistance to various biotic and abiotic stresses. Codon usage profiling of the genes reveals the characteristic features of the genes like nucleotide composition, gene expressivity, optimal codons etc. The present study is a comparative analysis of codon usage patterns for different MAPK genes in three organisms, viz. Arabidopsis thaliana, Glycine max (soybean) and Oryza sativa (rice). The study has revealed a high AT content in MAPK genes of Arabidopsis and soybean whereas in rice a balanced AT-GC content at the third synonymous position of codon. The genes show a low bias in codon usage profile as reflected in the higher values (50.83 to 56.55) of effective number of codons (Nc). The prediction of gene expression profile in the MAPK genes revealed that these genes might be under the selective pressure of translational optimization as reflected in the low codon adaptation index (CAI) values ranging from 0.147 to 0.208.

Background: MicroRNAs (miRNAs) are small noncoding RNAs which play crucial role in response to the adverse biotic and abiotic stress conditions at the post transcriptional level. The functions of the miRNAs are generally based on complementarity to their target region. Results: We used the online tool psRNA Target for the identification of submergence responsive miRNA using the gene expression profile related to the submergence condition. We wrote a perl script for the prediction of miRNA target gene. The position based feature of the script increases the overall specificity of the program. Our perl script performed well on the genomic data of Oryza sativa and produced significant results with their positions. These results were analyzed on the basis of complementarity and the statistical scores are used to find out the most probable binding regions. These predicted binding regions are aligned with their respective miRNAs to find out the consensus sequence. We scored the alignment using a position dependent, mismatch penalty system. We also identified the rate of conservation of bases at a particular position for all the predicted binding regions and it was found that all the predicted binding regions maintain above 70% rate of conservation of bases. Conclusion: Our approach provides a novel framework for screening the genome of Oryza sativa. It can be broadly applied to identify complementarity specific miRNA targets computationally by doing a little modification of the script depending on the type of the miRNA.

Background: Oncogenes are the genes that have the potential to induce cancer. The extent and origin of codon usage bias is an important indicator of the forces shaping genome evolution in living organisms. Results: We observed moderate correlations between gene expression as measured by CAI and GC content at any codon site. The findings of our results showed that there is a significant positive correlation (Spearman’s r= 0.45, P