Electronic Journal of Probability
- Electron. J. Probab.
- Volume 19 (2014), paper no. 115, 27 pp.
The infinitely many genes model with horizontal gene transfer
The genome of bacterial species is much more flexible than that of eukaryotes. Moreover, the distributed genome hypothesis for bacteria states that the total number of genes present in a bacterial population is greater than the genome of every single individual. The pangenome, i.e. the set of all genes of a bacterial species (or a sample), comprises the core genes which are present in all living individuals, and accessory genes, which are carried only by some individuals. In order to use accessory genes for adaptation to environmental forces, genes can be transferred horizontally between individuals. Here, we extend the infinitely many genes model from Baumdicker, Hess and Pfaffelhuber (2010) for horizontal gene transfer. We take a genealogical view and give a construction – called the Ancestral Gene Transfer Graph – of the joint genealogy of all genes in the pangenome. As application, we compute moments of several statistics (e.g. the number of differences between two individuals and the gene frequency spectrum) under the infinitely many genes model with horizontal gene transfer.
Electron. J. Probab., Volume 19 (2014), paper no. 115, 27 pp.
Accepted: 14 December 2014
First available in Project Euclid: 4 June 2016
Permanent link to this document
Digital Object Identifier
Mathematical Reviews number (MathSciNet)
Zentralblatt MATH identifier
Primary: 92D15: Problems related to evolution 60J70: Applications of Brownian motions and diffusion theory (population genetics, absorption problems, etc.) [See also 92Dxx] 92D20: Protein sequences, DNA sequences
Secondary: 60K35: Interacting random processes; statistical mechanics type models; percolation theory [See also 82B43, 82C43]
This work is licensed under a Creative Commons Attribution 3.0 License.
Baumdicker, Franz; Pfaffelhuber, Peter. The infinitely many genes model with horizontal gene transfer. Electron. J. Probab. 19 (2014), paper no. 115, 27 pp. doi:10.1214/EJP.v19-2642. https://projecteuclid.org/euclid.ejp/1465065757