Institute of Physics, Federal University of Bahia, Salvador, Bahia, Brazil.
Institute of Biological Sciences, Federal University of Minas Gerais, Belo Horizonte, Minas Gerais, Brazil.
PeerJ. 2023 Jan 6;11:e14571. doi: 10.7717/peerj.14571. eCollection 2023.
The endosymbiotic theory is widely accepted to explain the origin of mitochondria from a bacterial ancestor. While ample evidence supports the intimate connection of Alphaproteobacteria to the mitochondrial ancestor, pinpointing its closest relative within sampled Alphaproteobacteria is still an open evolutionary debate. Many different phylogenetic methods and approaches have been used to answer this challenging question, further compounded by the heterogeneity of sampled taxa, varying evolutionary rates of mitochondrial proteins, and the inherent biases in each method, all factors that can produce phylogenetic artifacts. By harnessing the simplicity and interpretability of protein similarity networks, herein we re-evaluated the origin of mitochondria within an enhanced multilayer framework, which is an extension and improvement of a previously developed method.
We used a dataset of eight proteins found in mitochondria ( = 6 organisms) and bacteria ( = 80 organisms). The sequences were aligned and resulting identity matrices were combined to generate an eight-layer multiplex network. Each layer corresponded to a protein network, where nodes represented organisms and edges were placed following mutual sequence identity. The Multi-Newman-Girvan algorithm was applied to evaluate community structure, and bifurcation events linked to network partition allowed to trace patterns of divergence between studied taxa.
In our network-based analysis, we first examined the topology of the 8-layer multiplex when mitochondrial sequences disconnected from the main alphaproteobacterial cluster. The resulting topology lent firm support toward an Alphaproteobacteria-sister placement for mitochondria, reinforcing the hypothesis that mitochondria diverged from the common ancestor of all Alphaproteobacteria. Additionally, we observed that the divergence of Rickettsiales was an early event in the evolutionary history of alphaproteobacterial clades.
By leveraging complex networks methods to the challenging question of circumscribing mitochondrial origin, we suggest that the entire Alphaproteobacteria clade is the closest relative to mitochondria (Alphaproteobacterial-sister hypothesis), echoing recent findings based on different datasets and methodologies.
内共生理论被广泛接受,用于解释线粒体起源于细菌祖先。虽然有大量证据支持α变形菌与线粒体祖先的密切联系,但要确定α变形菌中与其最亲近的近亲仍然是一个悬而未决的进化争论。许多不同的系统发育方法和方法已被用于回答这个具有挑战性的问题,进一步复杂化的是被采样分类群的异质性、线粒体蛋白的不同进化速率以及每种方法固有的偏见,所有这些因素都会产生系统发育伪影。通过利用蛋白质相似性网络的简单性和可解释性,我们在此在增强的多层框架中重新评估了线粒体的起源,这是先前开发的方法的扩展和改进。
我们使用了一组存在于线粒体(= 6 个生物体)和细菌(= 80 个生物体)中的 8 种蛋白质的数据集。对序列进行比对,并将得到的身份矩阵组合起来生成一个 8 层的多路复用网络。每个层对应于一个蛋白质网络,其中节点代表生物体,边缘根据相互序列同一性放置。应用多新门-吉文算法评估社区结构,并且网络分区的分支事件允许跟踪研究分类群之间的分歧模式。
在我们基于网络的分析中,我们首先检查了线粒体序列与主要α变形菌簇断开连接时 8 层多路复用网络的拓扑结构。所得拓扑结构有力地支持了线粒体与α变形菌的姐妹关系,这强化了线粒体从所有α变形菌的共同祖先中分化的假设。此外,我们观察到立克次氏体的分化是α变形菌类群进化历史中的早期事件。
通过利用复杂网络方法解决线粒体起源的难题,我们建议整个α变形菌类群是与线粒体最亲近的近亲(α变形菌姐妹假说),这与基于不同数据集和方法的最近发现相呼应。