Light Sara, Kraulis Per, Elofsson Arne
Stockholm Bioinformatics Center, Department of Biochemistry and Biophyhsics, Albanova University Center, Stockholm University, Stockholm SE-10691, Sweden.
BMC Genomics. 2005 Nov 10;6:159. doi: 10.1186/1471-2164-6-159.
Many biological networks show some characteristics of scale-free networks. Scale-free networks can evolve through preferential attachment where new nodes are preferentially attached to well connected nodes. In networks which have evolved through preferential attachment older nodes should have a higher average connectivity than younger nodes. Here we have investigated preferential attachment in the context of metabolic networks.
The connectivities of the enzymes in the metabolic network of Escherichia coli were determined and representatives for these enzymes were located in 11 eukaryotes, 17 archaea and 46 bacteria. E. coli enzymes which have representatives in eukaryotes have a higher average connectivity while enzymes which are represented only in the prokaryotes, and especially the enzymes only present in betagamma-proteobacteria, have lower connectivities than expected by chance. Interestingly, the enzymes which have been proposed as candidates for horizontal gene transfer have a higher average connectivity than the other enzymes. Furthermore, It was found that new edges are added to the highly connected enzymes at a faster rate than to enzymes with low connectivities which is consistent with preferential attachment.
Here, we have found indications of preferential attachment in the metabolic network of E. coli. A possible biological explanation for preferential attachment growth of metabolic networks is that novel enzymes created through gene duplication maintain some of the compounds involved in the original reaction, throughout its future evolution. In addition, we found that enzymes which are candidates for horizontal gene transfer have a higher average connectivity than other enzymes. This indicates that while new enzymes are attached preferentially to highly connected enzymes, these highly connected enzymes have sometimes been introduced into the E. coli genome by horizontal gene transfer. We speculate that E. coli has adjusted its metabolic network to a changing environment by replacing the relatively central enzymes for better adapted orthologs from other prokaryotic species.
许多生物网络呈现出无标度网络的一些特征。无标度网络可通过优先连接演化,即新节点优先连接到连接良好的节点。在通过优先连接演化的网络中,较老的节点应比较年轻的节点具有更高的平均连接度。在此,我们研究了代谢网络中的优先连接。
测定了大肠杆菌代谢网络中酶的连接度,并在11种真核生物、17种古生菌和46种细菌中定位了这些酶的代表。在真核生物中有代表的大肠杆菌酶具有较高的平均连接度,而仅在原核生物中有代表的酶,特别是仅存在于β-γ-变形菌中的酶,其连接度低于随机预期值。有趣的是,被提议作为水平基因转移候选的酶比其他酶具有更高的平均连接度。此外,发现新边添加到高连接度酶的速率比添加到低连接度酶的速率更快,这与优先连接一致。
在此,我们发现了大肠杆菌代谢网络中优先连接的迹象。代谢网络优先连接生长的一种可能生物学解释是,通过基因复制产生的新酶在其未来进化过程中保留了参与原始反应的一些化合物。此外,我们发现作为水平基因转移候选的酶比其他酶具有更高的平均连接度。这表明虽然新酶优先连接到高连接度酶,但这些高连接度酶有时是通过水平基因转移引入大肠杆菌基因组的。我们推测大肠杆菌通过用来自其他原核物种的适应性更好的直系同源物取代相对核心的酶,使其代谢网络适应不断变化的环境。