Differentially used codons among essential genes in bacteria identified by machine learning-based analysis.

Codon usage bias (CUB), the uneven usage of synonymous codons encoding the same amino acid, differs among genes within and across bacteria genomes. CUB is known to be influenced by gene expression and accordingly, CUB differs between the high-expression and low-expression genes in several bacteria. In this article, we have extended codon usage study considering gene essentiality as a feature.

High frequency of transition to transversion ratio in the stem region of RNA secondary structure of untranslated region of SARS-CoV-2.

Introduction: The propensity of nucleotide bases to form pairs, causes folding and the formation of secondary structure in the RNA. Therefore, purine (R): pyrimidine (Y) base-pairing is vital to maintain uniform lateral dimension in RNA secondary structure. Transversions or base substitutions between R and Y bases, are more detrimental to the stability of RNA secondary structure, than transitions derived from substitutions between A and G or C and T.

Machine learning approach identifies prominent codons from different degenerate groups influencing gene expression in bacteria.

Unequal usage of synonymous codons is known as codon usage bias (CUB), which is generally different between the high-expression genes (HEG) and low-expression genes (LEG) in organisms is not yet adequately reported across different bacteria. In this study, a machine learning-based approach was implemented initially to find out codons that are significantly different between the HEG and LEG in Escherichia coli. It identified Cys codons such as UGU and UGC, Lys codons such as AAA and AAG that were least influenced by gene expression.

Incorporation of transition to transversion ratio and nonsense mutations, improves the estimation of the number of synonymous and non-synonymous sites in codons.

A common approach to estimate the strength and direction of selection acting on protein coding sequences is to calculate the dN/dS ratio. The method to calculate dN/dS has been widely used by many researchers and many critical reviews have been made on its application after the proposition by Nei and Gojobori in 1986. However, the method is still evolving considering the non-uniform substitution rates and pretermination codons.

Stem Region of tRNA Genes Favors Transition Substitution Towards Keto Bases in Bacteria.

Transversion and transition mutations have variable effects on the stability of RNA secondary structure considering that the former destabilizes the double helix geometry to a greater extent by introducing purine:purine (R:R) or pyrimidine:pyrimidine (Y:Y) base pairs. Therefore, transversion frequency is likely to be lower than that of transition in the secondary structure regions of RNA genes. Here, we performed an analysis of transition and transversion frequencies in tRNA genes defined well with secondary structure and compared with the intergenic regions in five bacterial species namely Escherichia coli, Klebsiella pneumoniae, Salmonella enterica, Staphylococcus aureus and Streptococcus pneumoniae using a large genome sequence data set.

The Entner-Doudoroff and Nonoxidative Pentose Phosphate Pathways Bypass Glycolysis and the Oxidative Pentose Phosphate Pathway in Ralstonia solanacearum.

In , a devastating phytopathogen whose metabolism is poorly understood, we observed that the Entner-Doudoroff (ED) pathway and nonoxidative pentose phosphate pathway (non-OxPPP) bypass glycolysis and OxPPP under glucose oxidation. Evidence derived from C stable isotope feeding and genome annotation-based comparative metabolic network analysis supported the observations. Comparative metabolic network analysis derived from the currently available 53 annotated strains, including a recently reported strain (F1C1), representing the four phylotypes, confirmed the lack of key genes coding for phosphofructokinase () and phosphogluconate dehydrogenase () enzymes that are relevant for glycolysis and OxPPP, respectively.

Codon degeneracy and amino acid abundance influence the measures of codon usage bias: improved Nc (N̂ ) and ENCprime (N̂ ) measures.

Effective number of codons (N^c) and its variant N^'c (effective number of codons prime) are the two widely used methods for measuring unequal usage of synonymous codons in coding sequences, known as the codon usage bias (CUB). The mathematical formula used in calculating N^c and N^'c values is giving inappropriate measures of CUB in case of low abundance of amino acids. In addition, the magnitude of error also varies according to codon degeneracy.

Comparative analysis of codon usage bias in Crenarchaea and Euryarchaea genome reveals differential preference of synonymous codons to encode highly expressed ribosomal and RNA polymerase proteins.

The present study was undertaken to investigate the pattern of optimal codon usage in Archaea. Comparative analysis was executed to understand the pattern of codon usage bias between the high expression genes (HEG) and the whole genomes in two Archaeal phyla, Crenarchaea and Euryarchaea. The G+C% of the HEG was found to be less in comparison to the genome G+C% in Crenarchaea, whereas reverse was the case in Euryarchaea.

Discrepancy among the synonymous codons with respect to their selection as optimal codon in bacteria.

The different triplets encoding the same amino acid, termed as synonymous codons, are not equally abundant in a genome. Factors such as G + C% and tRNA are known to influence their abundance in a genome. However, the order of the nucleotide in each codon per se might also be another factor impacting on its abundance values.

Constraint on di-nucleotides by codon usage bias in bacterial genomes.

It has been reported earlier that the relative di-nucleotide frequency (RDF) in different parts of a genome is similar while the frequency is variable among different genomes. So RDF is termed as genome signature in bacteria. It is not known if the constancy in RDF is governed by genome wide mutational bias or by selection.

Selection on GGU and CGU codons in the high expression genes in bacteria.

The fourfold degenerate site (FDS) in coding sequences is important for studying the effect of any selection pressure on codon usage bias (CUB) because nucleotide substitution per se is not under any such pressure at the site due to the unaltered amino acid sequence in a protein. We estimated the frequency variation of nucleotides at the FDS across the eight family boxes (FBs) defined as Um(g), the unevenness measure of a gene g. The study was made in 545 species of bacteria.

Transfer RNA gene numbers may not be completely responsible for the codon usage bias in asparagine, isoleucine, phenylalanine, and tyrosine in the high expression genes in bacteria.

It is generally believed that the effect of translational selection on codon usage bias is related to the number of transfer RNA genes in bacteria, which is more with respect to the high expression genes than the whole genome. Keeping this in the background, we analyzed codon usage bias with respect to asparagine, isoleucine, phenylalanine, and tyrosine amino acids. Analysis was done in seventeen bacteria with the available gene expression data and information about the tRNA gene number.

Higher tRNA diversity in thermophilic bacteria: a possible adaptation to growth at high temperature.

We have done a comparative study of tRNA diversity and total tRNA genes among different strains of bacteria with respect to the optimum growth temperature of the cells. Our observation suggests that higher tRNA diversity usually occurs in thermophiles in comparison to non-thermophiles. Among psychrophiles total tRNA was observed to be more than two-fold higher than in the non-psychrophiles.

A study in entire chromosomes of violations of the intra-strand parity of complementary nucleotides (Chargaff's second parity rule).

Chargaff's rule of intra-strand parity (ISP) between complementary mono/oligonucleotides in chromosomes is well established in the scientific literature. Although a large numbers of papers have been published citing works and discussions on ISP in the genomic era, scientists are yet to find all the factors responsible for such a universal phenomenon in the chromosomes. In the present work, we have tried to address the issue from a new perspective, which is a parallel feature to ISP.

Variable correlation of genome GC% with transfer RNA number as well as with transfer RNA diversity among bacterial groups: alpha-proteobacteria and tenericutes exhibit strong positive correlation.

Mainly two selective forces are thought to affect transfer RNA (tRNA) gene numbers in cells: firstly, transfer RNA genes have coevolved with codon usage to optimize the translation rate in organisms; and secondly, tRNA gene number is positively correlated with growth rate of organisms. Since a codon ending with 'G' is recognized with lower efficiency than the synonymous codon ending with 'A' by a tRNA, organisms with high genome GC% are expected to possess tRNA molecules with 'C' at the first anticodon position to decode efficiently the former codon. This is in concordance with the observation of higher tRNA diversity in several bacteria with higher genome GC%.