Javascript must be enabled to continue!
Persistent, Private and Mobile genes: a model for gene dynamics in evolving pangenomes
View through CrossRef
AbstractThe pangenome of a species is the set of all genes carried by at least one member of the species. In bacteria, pangenomes can be much larger than the set of genes carried by a single organism. Many questions remain unanswered regarding the evolutionary forces shaping the patterns of presence/absence of genes in pangenomes of a given species. We introduce a new model for bacterial pangenome evolution along a species phylogeny that explicitly describes the timing of appearance of each gene in the species and accounts for three generic types of gene evolutionary dynamics: persistent genes that are present in the ancestral genome, private genes that are specific to a given clade, and mobile genes that are imported once into the gene pool and then undergo frequent horizontal gene transfers. We call this model the Persistent-Private-Mobile (PPM) model. We develop an algorithm fitting the PPM model and apply it to a dataset of 902Salmonella entericagenomes. We show that the best fitting model is able to reproduce the global pattern of some multivariate statistics like the gene frequency spectrum and the parsimony vs. frequency plot. Moreover, the gene classification induced by the PPM model allows us to study the position of accessory genes on the chromosome depending on their category, as well as the gene functions that are most present in each category. This work paves the way for a mechanistic understanding of pangenome evolution, and the PPM model developed here could be used for dynamics-aware gene classification.
Title: Persistent, Private and Mobile genes: a model for gene dynamics in evolving pangenomes
Description:
AbstractThe pangenome of a species is the set of all genes carried by at least one member of the species.
In bacteria, pangenomes can be much larger than the set of genes carried by a single organism.
Many questions remain unanswered regarding the evolutionary forces shaping the patterns of presence/absence of genes in pangenomes of a given species.
We introduce a new model for bacterial pangenome evolution along a species phylogeny that explicitly describes the timing of appearance of each gene in the species and accounts for three generic types of gene evolutionary dynamics: persistent genes that are present in the ancestral genome, private genes that are specific to a given clade, and mobile genes that are imported once into the gene pool and then undergo frequent horizontal gene transfers.
We call this model the Persistent-Private-Mobile (PPM) model.
We develop an algorithm fitting the PPM model and apply it to a dataset of 902Salmonella entericagenomes.
We show that the best fitting model is able to reproduce the global pattern of some multivariate statistics like the gene frequency spectrum and the parsimony vs.
frequency plot.
Moreover, the gene classification induced by the PPM model allows us to study the position of accessory genes on the chromosome depending on their category, as well as the gene functions that are most present in each category.
This work paves the way for a mechanistic understanding of pangenome evolution, and the PPM model developed here could be used for dynamics-aware gene classification.
Related Results
PANGENOMICS OF PLANTS
PANGENOMICS OF PLANTS
The concept of plant pangenomes appeared in 2007, but the preliminary pangenomes of corn and soybeans were created in 2010. First pangenomes of three plant species (Brassica rapa, ...
Selection-based model of prokaryote pangenomes
Selection-based model of prokaryote pangenomes
Abstract
The genomes of different individuals of the same prokaryote species can vary widely in gene content, displaying different proportions of core genes, which ...
Mobile phone usage for m‐learning: comparing heavy and light mobile phone users
Mobile phone usage for m‐learning: comparing heavy and light mobile phone users
PurposeMobile technologies offer the opportunity to embed learning in a natural environment. The objective of the study is to examine how the usage of mobile phones for m‐learning ...
ACM SIGCOMM computer communication review
ACM SIGCOMM computer communication review
At some point in the future, how far out we do not exactly know, wireless access to the Internet will outstrip all other forms of access bringing the freedom of mobility to the way...
XA4C: eXplainable representation learning via Autoencoders revealing Critical genes
XA4C: eXplainable representation learning via Autoencoders revealing Critical genes
ABSTRACT
Machine Learning models have been frequently used in transcriptome analyses. Particularly, Representation Learning (RL), e.g., autoencod...
Expression and polymorphism of genes in gallstones
Expression and polymorphism of genes in gallstones
ABSTRACT
Through the method of clinical case control study, to explore the expression and genetic polymorphism of KLF14 gene (rs4731702 and rs972283) and SR-B1 gene...
ESSENTIAL SECURITY PRACTICES FOR FORTIFYING MOBILE APPS
ESSENTIAL SECURITY PRACTICES FOR FORTIFYING MOBILE APPS
“Essential Security Practices for Fortifying Mobile Apps” is a definitive guide designed to empower developers, security professionals, and organizations with the knowledge and too...
Mobile Communication Studies
Mobile Communication Studies
Mobile media are recognized as the fastest-growing media category. Although mobile media users were already enjoying mobile devices in their everyday lives, prior to the millennium...

