Konstantinidis Konstantinos T, Serres Margrethe H, Romine Margaret F, Rodrigues Jorge L M, Auchtung Jennifer, McCue Lee-Ann, Lipton Mary S, Obraztsova Anna, Giometti Carol S, Nealson Kenneth H, Fredrickson James K, Tiedje James M
School of Civil and Environmental Engineering and School of Biology, Georgia Institute of Technology, 310 Ferst Drive, Atlanta, GA 30332, USA.
Proc Natl Acad Sci U S A. 2009 Sep 15;106(37):15909-14. doi: 10.1073/pnas.0902000106. Epub 2009 Sep 1.
To what extent genotypic differences translate to phenotypic variation remains a poorly understood issue of paramount importance for several cornerstone concepts of microbiology including the species definition. Here, we take advantage of the completed genomic sequences, expressed proteomic profiles, and physiological studies of 10 closely related Shewanella strains and species to provide quantitative insights into this issue. Our analyses revealed that, despite extensive horizontal gene transfer within these genomes, the genotypic and phenotypic similarities among the organisms were generally predictable from their evolutionary relatedness. The power of the predictions depended on the degree of ecological specialization of the organisms evaluated. Using the gradient of evolutionary relatedness formed by these genomes, we were able to partly isolate the effect of ecology from that of evolutionary divergence and to rank the different cellular functions in terms of their rates of evolution. Our ranking also revealed that whole-cell protein expression differences among these organisms, when the organisms were grown under identical conditions, were relatively larger than differences at the genome level, suggesting that similarity in gene regulation and expression should constitute another important parameter for (new) species description. Collectively, our results provide important new information toward beginning a systems-level understanding of bacterial species and genera.
基因型差异在多大程度上转化为表型变异,对于包括物种定义在内的微生物学几个基石概念而言,仍是一个尚未得到充分理解但至关重要的问题。在此,我们利用10个密切相关的希瓦氏菌菌株和物种的完整基因组序列、表达蛋白质组谱以及生理学研究,来对这个问题提供定量的见解。我们的分析表明,尽管这些基因组内存在广泛的水平基因转移,但生物体之间的基因型和表型相似性通常可根据它们的进化亲缘关系来预测。预测的能力取决于所评估生物体的生态专业化程度。利用这些基因组形成的进化亲缘关系梯度,我们能够部分地将生态效应与进化分歧效应区分开来,并根据不同细胞功能的进化速率对其进行排序。我们的排序还表明,当这些生物体在相同条件下生长时,它们之间全细胞蛋白质表达差异相对大于基因组水平的差异,这表明基因调控和表达的相似性应构成(新)物种描述的另一个重要参数。总体而言,我们的结果为从系统层面理解细菌物种和属提供了重要的新信息。