The timing of the evolution of microbial life has largely remained elusive due to the scarcity of prokaryotic fossil record and the confounding effects of the exchange of genes among possibly distant species. The history of gene transfer events, however, is not a series of individual oddities; it records which lineages were concurrent and thus provides information on the timing of species diversification. Here, we use a probabilistic model of genome evolution that accounts for differences between gene phylogenies and the species tree as series of duplication, transfer, and loss events to reconstruct chronologically ordered species phylogenies. Using simulations we show that we can robustly recover accurate chronologically ordered species phylogenies in the presence of gene tree reconstruction errors and realistic rates of duplication, transfer, and loss. Using genomic data we demonstrate that we can infer rooted species phylogenies using homologous gene families from complete genomes of 10 bacterial and archaeal groups. Focusing on cyanobacteria, distinguished among prokaryotes by a relative abundance of fossils, we infer the maximum likelihood chronologically ordered species phylogeny based on 36 genomes with 8,332 homologous gene families. We find the order of speciation events to be in full agreement with the fossil record and the inferred phylogeny of cyanobacteria to be consistent with the phylogeny recovered from established phylogenomics methods. Our results demonstrate that lateral gene transfers, detected by probabilistic models of genome evolution, can be used as a source of information on the timing of evolution, providing a valuable complement to the limited prokaryotic fossil record. molecular dating | gene tree reconciliation | birth-death model A central aspect of Earth's history is the pattern and timing of diversification of the species that inhabit it. In macroorganisms such as animals or plants, an abundant fossil record, the accumulation of genomic data, and the development of models of molecular evolution accommodating for varying rates of evolutionary changes among lineages are progressively yielding an intelligible picture (1-4). In contrast, the dating of the evolution of microbial life remains largely elusive (5, 6). This situation results from the convergence of two main factors: first, fossils, especially bacterial and archaeal ones, are scarce or cannot be traced to a specific lineage. Therefore, any inference of the timing of microbial evolution must rely almost exclusively on molecular data constrained only by a handful of dates during the course of more than three billion years of evolution. Second, molecular data can be difficult to interpret in terms of patterns of species diversification. Lateral gene transfers (LGTs), the exchange of genes among possibly distant species, have tangled gene phylogenies to the extent that they provide a deeply blurred view of the relationships between lineages. Different approaches [e.g., concatenation, supertrees (7, 8)] have been proposed to ove...