PICDI, a simple program for codon bias calculation

Strong Selectional Forces Fine-Tune CpG Content in Genes Involved in Neurological Disorders as Revealed by Codon Usage Patterns

Neurodegenerative disorders cause irreversible damage to the neurons and adversely affect the quality of life. Protein misfolding and their aggregation in specific parts of the brain, mitochondrial dysfunction, calcium load, proteolytic stress, and oxidative stress are among the causes of neurodegenerative disorders. In addition, altered metabolism has been associated with neurodegeneration as evidenced by reductions in glutamine and alanine in transient global amnesia patients, higher homocysteine-cysteine disulfide, and lower methionine decline in serum urea have been observed in Alzheimer's disease patients. Neurodegeneration thus appears to be a culmination of altered metabolism. The study's objective is to analyze various attributes like composition, physical properties of the protein, and factors like selectional and mutational forces, influencing codon usage preferences in a panel of genes involved directly or indirectly in metabolism and contributing to neurodegeneration. Various parameters, including gene composition, dinucleotide analysis, Relative synonymous codon usage (RSCU), Codon adaptation index (CAI), neutrality and parity plots, and different protein indices, were computed and analyzed to determine the codon usage pattern and factors affecting it. The correlation of intrinsic protein properties such as the grand average of hydropathicity index (GRAVY), isoelectric point, hydrophobicity, and acidic, basic, and neutral amino acid content has been found to influence codon usage. In genes up to 800 amino acids long, the GC3 content was highly variable, while GC12 content was relatively constant. An optimum CpG content is present in genes to maintain a high expression level as required for genes involved in metabolism. Also observed was a low codon usage bias with a higher protein expression level. Compositional parameters and nucleotides at the second position of codons played essential roles in explaining the extent of bias. Overall analysis indicated that the dominance of selection pressure and compositional constraints and mutational forces shape codon usage.

Codon-based indices for modeling gene expression and transcript evolution

Codon usage bias (CUB) refers to the phenomena that synonymous codons are used in different frequencies in most genes and organisms. The general assumption is that codon biases reflect a balance between mutational biases and natural selection. Today we understand that the codon content is related and can affect all gene expression steps. Starting from the 1980s, codon-based indices have been used for answering different questions in all biomedical fields, including systems biology, agriculture, medicine, and biotechnology. In general, codon usage bias indices weigh each codon or a small set of codons to estimate the fitting of a certain coding sequence to a certain phenomenon (e.g., bias in codons, adaptation to the tRNA pool, frequencies of certain codons, transcription elongation speed, etc.) and are usually easy to implement. Today there are dozens of such indices; thus, this paper aims to review and compare the different codon usage bias indices, their applications, and advantages. In addition, we perform analysis that demonstrates that most indices tend to correlate even though they aim to capture different aspects. Due to the centrality of codon usage bias on different gene expression steps, it is important to keep developing new indices that can capture additional aspects that are not modeled with the current indices.

Compositional properties and codon usage of TP73 gene family

The TP73 gene is considered as one of the members of TP53 gene family and shows much homology to p53 gene. TP73 gene plays a pivotal role in cancer studies in addition to other biological functions. Codon usage bias (CUB) is the phenomenon of unequal usage of synonymous codons for an amino acid wherein some codons are more frequently used than others and it reveals the evolutionary relationship of a gene. Here, we report the pattern of codon usage in TP73 gene using various bioinformatic tools as no work was reported yet. Nucleotide composition analysis suggested that the mean nucleobase C was the highest, followed by G and the gene was GC rich. Correlation analysis between codon usage and GC3 suggested that most of the GC-ending codons showed positive correlation while most of the AT-ending codons showed negative correlation with GC3 in the coding sequences of TP73 gene variants in human. The CUB is moderate in human TP73 gene as evident from intrinsic codon deviation index (ICDI) analysis. Nature selected against two codons namely ATA (isoleucine) and AGA (arginine) in the coding sequences of TP73 gene during the course of evolution. A significant correlation (p < 0.05) was found between overall nucleotide composition and its composition at the 3rd codon position, indicating that both mutation pressure and natural selection might influence the CUB. The correlation analysis between ICDI and biochemical properties of protein suggested that variation of CUB was associated with degree of hydrophobicity and length of protein.

Isolation and transcriptional regulation of the Kluyveromyces lactis FBA1 (fructose-1,6-bisphosphate aldolase) gene

Cloning and transcriptional regulation of the KlFBA1 gene that codes for the class II fructose-1,6-bisphosphate aldolase of the yeast Kluyveromyces lactis are described. KlFBA1 mRNA diminishes transiently during the shift from hypoxic to fully aerobic conditions and increases in the reversal shift. This regulation is mediated by heme since expression was higher in a mutant defective in heme biosynthesis. KlFBA1 transcription is not induced by calcium-shortage, low temperature, or at stationary phase. These data suggest that KlFBA1 plays a role in the balance between oxidative and fermentative metabolism and that this gene is differentially regulated in K. lactis and Saccharomyces cerevisiae, i.e., a respiratory vs. fermentative yeast.

The HIS4 gene from the yeast Kluyveromyces lactis

The Kluyveromyces lactis HIS4 gene was cloned by complementation of a Saccharomyces cerevisiae his4 mutant. Sequence analysis revealed a 2388 bp open reading frame encoding a single polypeptide predicted to encompass three distinct enzymatic activities (phosphoribosyl-AMP cyclohydrolase, phosphoribosyl-ATP pyrophosphohydrolase and histidinol dehydrogenase). This structural organization is strikingly similar to that of the His4 proteins from S. cerevisiae and Pichia pastoris. Transcript analysis detected a single mRNA species of 2.5 kb.

Isolation and characterization of the KlHEM1 gene in Kluyveromyces lactis

The KlHEM1 gene from Kluyveromyces lactis encodes a functional 5-aminolevulinate synthase (deltaALA synthase), as confirmed by complementation of a hem1 mutant Saccharomyces cerevisiae strain, homology search, and detection of a 2.3 kb transcript. The gene is highly homologous to the ScHEM1 gene, and the sequence of the promoter region contains a complex combination of putative regulatory signals. Some of them are related to phospholipid biosynthesis, glycolytic metabolism, and regulation by carbon source. Transcription of KlHEM1 increased significantly in response to limited oxygen, and only slightly with the change from repressed (glucose) to derepressed conditions (glycerol). The deltaALA synthase from K. lactis contains, in the amino-terminal region, two heme-responsive elements that are not present in the protein from Saccharomyces cerevisiae.