arXivDaily arXiv每日学术速递 周一至周五更新
arXiv 0807.1898q-bio.GNq-bio.QM
收藏

蛋白质结构域基因组水平进化的普适特征

Universal Features in the Genome-level Evolution of Protein Domains

M. Cosentino Lagomarsino, A. L. Sellerio, P. D. Heijning, B. Bassetti

摘要:

蛋白质结构域在基因组上具有显著的统计分布,具有高度的相似性。以前的工作已经表明,这些分布可以通过简单的模型来解释,其中的主要成分是重复,创新和域丢失的概率。然而,到目前为止,还没有人解决的问题,这些分布遵循明确的趋势,仅取决于蛋白质编码基因组的大小。我们提出了一个随机复制/创新模型,属于所谓的中餐馆流程类,能够解释数据的这一特征。该模型仅使用两个通用参数,与最小数量的领域和创新与复制的相对权重有关,再现了两个重要方面:(a)领域类别的人口(与同源类相关的集合,包含不同蛋白质中相同结构域的实现)遵循共同的幂律,其截止值由基因组大小决定,和(b)结构域家族的数目是普遍的,并且在基因组大小上是明显的亚线性的。该模型的一个重要组成部分是,创新概率随着基因组大小而降低。我们提出的可能性,解释这是一个全球性的限制,扩大日益复杂的相互作用的成本。

英文摘要:

Protein domains are found on genomes with notable statistical distributions, which bear a high degree of similarity. Previous work has shown how these distributions can be accounted for by simple models, where the main ingredients are probabilities of duplication, innovation, and loss of domains. However, no one so far has addressed the issue that these distributions follow definite trends depending on protein-coding genome size only. We present a stochastic duplication/innovation model, falling in the class of so-called Chinese Restaurant Processes, able to explain this feature of the data. Using only two universal parameters, related to a minimal number of domains and to the relative weight of innovation to duplication, the model reproduces two important aspects: (a) the populations of domain classes (the sets, related to homology classes, containing realizations of the same domain in different proteins) follow common power-laws whose cutoff is dictated by genome size, and (b) the number of domain families is universal and markedly sublinear in genome size. An important ingredient of the model is that the innovation probability decreases with genome size. We propose the possibility to interpret this as a global constraint given by the cost of expanding an increasingly complex interactome.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

↑