Pressure Gene Research Articles

Insight of Codon usage bias and Evolutionary rate among the genes C, E, prM and NS5 of the Kyasanur Forest Disease virus

Kyasanur Forest Disease was first evolved in the Kyasanur forest, Karnataka. The transmission of the virus has occurred from the monkey to the human by the tick vector. On the early day of viral spread, the disease was restricted to the surrounded region of Kyasanur forest, Shimoga district. But in the present days, the disease has been spreading to neighboring districts and states as well. So, this study involves estimation of codon bias among the gene C, gene E, gene prM, and gene NS5 of the KFD virus and rate of evolution with phylogenetic analysis. The codon usage analysis has revealed the moderate codon bias among all the selected genes and the role of mutation pressure in genes- C and E and natural selection in genes- prM and NS5. Also, the tMRCA age was 1942, 1982, 1975, and 1931 of genes- C, E, prM, and NS5, respectively, of the KFD virus. The integrated analysis of codon usage bias and evolutionary rate analysis signifies that both mutational pressure and natural selection among the selected genes of the KFD virus.

Generation of Cry11 Variants of Bacillus thuringiensis by Heuristic Computational Modeling

Directed evolution methods mimic in vitro Darwinian evolution, inducing random mutations and selective pressure in genes to obtain proteins with enhanced characteristics. These techniques are developed using trial-and-error testing at an experimental level with a high degree of uncertainty. Therefore, in silico modeling of directed evolution is required to support experimental assays. Several in silico approaches have reproduced directed evolution, using statistical, thermodynamic, and kinetic models in an attempt to recreate experimental conditions. Likewise, optimization techniques using heuristic models have been used to understand and find the best scenarios of directed evolution. Our study uses an in silico model named HeurIstics DirecteD EvolutioN, which is based on a genetic algorithm designed to generate chimeric libraries from 2 parental genes, cry11Aa and cry11Ba, of Bacillus thuringiensis. These genes encode crystal-shaped δ-endotoxins with 3 conserved domains. Cry11 toxins are of biotechnological interest because they have shown to be effective as biopesticides for disease-spreading vectors. With our heuristic model, we considered experimental parameters such as DNA fragmentation length, number of generations or simulation cycles, and mutation rate, to get characteristics of Cry11 chimeric libraries such as percentage of population identity, truncation of variants obtained from the presence of internal stop codons, percentage of thermodynamic diversity, and stability of variants. Our study allowed us to focus on experimental conditions that may be useful for the design of in vitro and in silico experiments of directed evolution with Cry toxins of 3 conserved domains. Furthermore, we obtained in silico libraries of Cry11 variants, in which structural characteristics of wild Cry families were observed in a review of a sample of in silico sequences. We consider that future studies could use our in silico libraries and heuristic computational models, as the one suggested here, to support in vitro experiments of directed evolution.

Whole-genome resequencing analysis of Pengxian Yellow Chicken to identify genome-wide SNPs and signatures of selection.

Chinese indigenous chickens have experienced strong selective pressure in genes or genomic regions controlling critical agricultural traits. To exploit the genetic features that may be useful in agriculture and are caused by artificial selection, we performed whole-genome sequencing of six Pengxian Yellow Chickens and downloaded the sequence data of five Red Jungle fowls from the NCBI. Through selective sweep analysis, we detected several regions with strong selection signals, containing 497 protein-coding genes. These genes were involved in developmental processes, metabolic processes, the response to external stimuli and other biological processes including digestion (ABCG5, ABCG8 and ADRB1), muscle development and growth (SMPD3, NELL1, and BICC1) and reduced immune function (CD86 and MTA3). Interestingly, we identified several genes with extremely strong selection signals associated with the loss of visual capability of domestic chickens relative to their wild ancestors. Amongst them, we propose that CTNND2 is involved in the evolutionary changes of domestic chickens toward reduced visual ability through the diopter system. VAT1 was also likely to contribute to these processes through its regulation of mitochondrial fusion. In summary, these data illustrate the patterns of genetic changes in Pengxian yellow chickens during domestication and provide valuable genetic resources that facilitate the utilization of chickens in agricultural production.

Genome dynamics in three different geographical isolates of white spot syndrome virus (WSSV)

White spot syndrome virus (WSSV), the sole member of the monotypic family Nimaviridae, is considered an extremely lethal shrimp pathogen. Despite its impact, some essential biological characteristics related to WSSV genome dynamics, such as the synonymous codon usage pattern and selection pressure in genes, remain to be elucidated. The results show that compositional limitations and mutational pressure determine the codon usage bias and base composition in WSSV. Furthermore, different forces of selective pressure are acting across various regions of the WSSV genome. Finally, this study points out the possible occurrence of two major recombination events.