Gupta Manoj Kumar, Vadde Ramakrishna
Department of Biotechnology & Bioinformatics, Yogi Vemana University, Kadapa, Andhra Pradesh, India.
Front Genet. 2023 Jan 27;14:1091575. doi: 10.3389/fgene.2023.1091575. eCollection 2023.
To date, numerous nucleotide, amino acid, and codon substitution models have been developed to estimate the evolutionary history of any sequence/organism in a more comprehensive way. Out of these three, the codon substitution model is the most powerful. These models have been utilized extensively to detect selective pressure on a protein, codon usage bias, ancestral reconstruction and phylogenetic reconstruction. However, due to more computational demanding, in comparison to nucleotide and amino acid substitution models, only a few studies have employed the codon substitution model to understand the heterogeneity of the evolutionary process in a genome-scale analysis. Hence, there is always a question of how to develop more robust but less computationally demanding codon substitution models to get more accurate results. In this review article, the authors attempted to understand the basis of the development of different types of codon-substitution models and how this information can be utilized to develop more robust but less computationally demanding codon substitution models. The codon substitution model enables to detect selection regime under which any gene or gene region is evolving, codon usage bias in any organism or tissue-specific region and phylogenetic relationship between different lineages more accurately than nucleotide and amino acid substitution models. Thus, in the near future, these codon models can be utilized in the field of conservation, breeding and medicine.
迄今为止,已经开发了许多核苷酸、氨基酸和密码子替换模型,以便更全面地估计任何序列/生物体的进化历史。在这三种模型中,密码子替换模型最为强大。这些模型已被广泛用于检测蛋白质上的选择压力、密码子使用偏好、祖先重建和系统发育重建。然而,与核苷酸和氨基酸替换模型相比,由于计算要求更高,只有少数研究采用密码子替换模型来理解基因组规模分析中进化过程的异质性。因此,如何开发更强大但计算要求更低的密码子替换模型以获得更准确的结果一直是个问题。在这篇综述文章中,作者试图理解不同类型密码子替换模型的开发基础,以及如何利用这些信息来开发更强大但计算要求更低的密码子替换模型。与核苷酸和氨基酸替换模型相比,密码子替换模型能够更准确地检测任何基因或基因区域正在进化的选择模式、任何生物体或组织特异性区域的密码子使用偏好以及不同谱系之间的系统发育关系。因此,在不久将来,这些密码子模型可用于保护、育种和医学领域。