The Most Deviated Codon Position in AT-rich Bacterial Genomes: A Function Related Analysis

Consistent Clustering Pattern of Prokaryotic Genes Based on Base Frequency at the Second Codon Position and its Association with Functional Category Preference

In 2002, our research group observed a gene clustering pattern based on the base frequency of A versus T at the second codon position in the genome of Vibrio cholera and found that the functional category distribution of genes in the two clusters was different. With the availability of a large number of sequenced genomes, we performed a systematic investigation of A2–T2 distribution and found that 2694 out of 2764 prokaryotic genomes have an optimal clustering number of two, indicating a consistent pattern. Analysis of the functional categories of the coding genes in each cluster in 1483 prokaryotic genomes indicated, that 99.33% of the genomes exhibited a significant difference (p < 0.01) in function distribution between the two clusters. Specifically, functional category P was overrepresented in the small cluster of 98.65% of genomes, whereas categories J, K, and L were overrepresented in the larger cluster of over 98.52% of genomes. Lineage analysis uncovered that these preferences appear consistently across all phyla. Overall, our work revealed an almost universal clustering pattern based on the relative frequency of A2 versus T2 and its role in functional category preference. These findings will promote the understanding of the rationality of theoretical prediction of functional classes of genes from their nucleotide sequences and how protein function is determined by DNA sequence.

Graphical abstract

Comparative analysis of predicted gene expression among deep-sea genomes

Deep-sea species live in an environment that is specifically characterized by extreme temperature and hydrostatic pressure. In this work, predicted highly expressed (PHX) genes are comparatively analyzed for six deep-sea microbes, which allows us to pinpoint the common highly expressed genes shared by them. The relationships between gene expression level and some basic properties such as genomic G + C content, optimal growth temperature (OGT), and environmental hydrostatic pressure of the six deep-sea species are also investigated. We find that the percentage of PHX genes out of a whole genome positively correlates to OGT for the deep-sea genomes, whereas such positive correlation seems not to exist between environmental hydrostatic pressure and percentage of PHX genes. Moreover, there exists a negative correlation between genomic G + C content and diversity of gene expression level for the deep-sea genomes, which is in sharp contrast to land-living microbes. We report the top 20 PHX genes for the six deep-sea genomes and find no common highly expressed genes shared by them except for ribosomal proteins, transcription factors, and translation factors. Our present work proffers a paradigm for studying the relationship between environmental factors and microbes' predicted gene expression level.