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DOI 10.1007/s12539-021-00493-w

Медицинская библиотека · Interdisciplinary sciences, computational life sciences · 2021

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

Jin Yan-Ting, Ma Cong, Wang Xin, Wang Shu-Xuan, Zhang Kai-Yue, Zheng Wen-Xin, Deng Zixin, Wang Ju, Guo Feng-Biao

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Аннотация

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.

Для цитирования: Jin Yan-Ting, Ma Cong, Wang Xin, Wang Shu-Xuan, Zhang Kai-Yue, Zheng Wen-Xin, Deng Zixin, Wang Ju, Guo Feng-Biao. Consistent Clustering Pattern of Prokaryotic Genes Based on Base Frequency at the Second Codon Position and its Association with Functional Category Preference.. Interdisciplinary sciences, computational life sciences. 2021. DOI: 10.1007/s12539-021-00493-w.

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