Carbone Alessandra
Génomique Analytique, Université Pierre et Marie Curie-Paris 6, UMR S511, 91 Bd de l'Hôpital, 75013, Paris, France.
J Mol Evol. 2008 Mar;66(3):210-23. doi: 10.1007/s00239-008-9068-6. Epub 2008 Feb 20.
The size and diversity of bacteriophage populations require methodologies to quantitatively study the landscape of phage differences. Statistical approaches are confronted with small genome sizes forbidding significant single-phage analysis, and comparative methods analyzing full phage genomes represent an alternative but they are of difficult interpretation due to lateral gene transfer, which creates a mosaic spectrum of related phage species. Based on a large-scale codon bias analysis of 116 DNA phages hosted by 11 translationally biased bacteria belonging to different phylogenetic families, we observe that phage genomes are almost always under codon selective pressure imposed by translationally biased hosts, and we propose a classification of phages with translationally biased hosts which is based on adaptation patterns. We introduce a computational method for comparing phages sharing homologous proteins, possibly accepted by different hosts. We observe that throughout phages, independently from the host, capsid genes appear to be the most affected by host translational bias. For coliphages, genes involved in virion morphogenesis, host interaction and ssDNA binding are also affected by adaptive pressure. Adaptation affects long and small phages in a significant way. We analyze in more detail the Microviridae phage space to illustrate the potentiality of the approach. The small number of directions in adaptation observed in phages grouped around phi X174 is discussed in the light of functional bias. The adaptation analysis of the set of Microviridae phages defined around phi MH2K shows that phage classification based on adaptation does not reflect bacterial phylogeny.
噬菌体群体的规模和多样性需要相应的方法来定量研究噬菌体差异的全貌。统计方法面临着基因组规模小的问题,无法进行有效的单噬菌体分析,而分析完整噬菌体基因组的比较方法虽提供了一种替代方案,但由于横向基因转移,其解释难度较大,横向基因转移会产生相关噬菌体物种的镶嵌谱。基于对来自不同系统发育家族的11种翻译偏好细菌所携带的116种DNA噬菌体进行的大规模密码子偏好性分析,我们观察到噬菌体基因组几乎总是处于翻译偏好宿主施加的密码子选择压力之下,并基于适应模式提出了一种对具有翻译偏好宿主的噬菌体的分类方法。我们引入了一种计算方法,用于比较可能被不同宿主接受的具有同源蛋白的噬菌体。我们观察到,在所有噬菌体中,与宿主无关,衣壳基因似乎受宿主翻译偏好的影响最大。对于大肠杆菌噬菌体,参与病毒体形态发生、宿主相互作用和单链DNA结合的基因也受到适应性压力的影响。适应性对大型和小型噬菌体都有显著影响。我们更详细地分析了微小病毒科噬菌体空间,以说明该方法的潜力。根据功能偏好,讨论了围绕φX174聚集的噬菌体中观察到的少量适应方向。对围绕φMH2K定义的一组微小病毒科噬菌体的适应性分析表明,基于适应性的噬菌体分类并不反映细菌系统发育。