Biology subjects

Angelin-Bonnet, O.

Publications and source records attributed to Angelin-Bonnet, O..

3 recordsLinked to original sources

bioRxiv2026

TEgenomeSimulator: A Flexible Framework for Simulating Genomes with Configurable Transposable Element Landscapes

Transposable elements (TEs) are major contributors to genome structure and evolution. However, our ability to study them is limited by the difficulty of annotating and curating them, especially in non-model organisms. This challenge is compounded by a lack of ground-truth datasets for benchmarking, which are nearly impossible to generate through manual curation alone. To overcome this critical limitation, we developed TEgenomeSimulator, a flexible framework for generating synthetic genomes with configurable TE landscapes. TEgenomeSimulator supports both randomly generated and biologically derived backbone sequences, enabling the modeling of TE insertions under diverse structural and evolutionary contexts. Benchmarking against existing simulators demonstrated that TEgenomeSimulator reproduces realistic TE composition, sequence divergence, and integrity distributions while offering greater flexibility in modeling chromosome-level structure. Its modular design offers a tuneable continuum between biological fidelity and experimental control, facilitating systematic benchmarking, algorithm development, and evolutionary modeling of TE dynamics in silico, filling a major gap in the field. The source code of TEgenomeSimulator and the scripts for this paper are available at https://github.com/Plant-Food-Research-Open/TEgenomeSimulator.

bioinformatics↗

bioRxiv2025

TESS: A Forward Simulation Framework for Studying the Role of Transposable Elements in Genome Expansion and Contraction

Genome expansion and contraction are reportedly driven by transposable element (TE) activity, but the underlying dynamics remain enigmatic due to a lack of historical records tracing these changes. Here, we present PrinTE for versatile, forward-time simulation of whole-genome sequences with highly customizable transposon dynamics. Through simulations, we confirm that the distribution of TE sequence divergence reflects their historical insertion and deletion dynamics, which can be used to infer TE dynamic parameters through PrinTE simulations. We analyzed the pangenome of Pucciniomycotina, a subdivision of fungi containing myrtle rust (Austropuccinia psidii), which drastically expanded its genome size to 1018 Mb. Our analyses reveal that the best strategy for controlling genome size is to avoid the invasion of LTR retrotransposons (LTR-RTs). While illegitimate recombination (IR) is considered the most effective counteraction of LTR-RT invasions leaving only solo LTR remnants, we observed a strong positive correlation between solo:intact LTR ratio (strength of LTR-RT removal) and genome size (r = 0.65), and a near-linear correlation between solo LTR count and genome size (r = 0.98). This result suggests that IR alone may not effectively prevent genome obesity. Through simulation of Pucciniomycotina genomes, we proposed that A. psidii might experience a prolonged period of genome expansion followed by a short, potent, and likely ongoing period of contraction. PrinTE is freely available at https://github.com/cwb14/PrinTE.git.

bioinformatics↗

bioRxiv2023

Visual integration of GWAS and differential expression results with the hidecan R package

SummaryWe present hidecan, an R package for generating visualisations that summarise the results of one or more genome-wide association studies and differential expression analyses, as well as manually curated candidate genes, e.g. extracted from the literature. Availability and ImplementationThe hidecan package is implemented in R and is publicly available on the CRAN repository (https://CRAN.R-project.org/package=hidecan) and on GitHub (https://github.com/PlantandFoodResearch/hidecan). A description of the package, as well as a detailed tutorial are available at https://plantandfoodresearch.github.io/hidecan/. Contactolivia.angelin-bonnet@plantandfood.co.nz. Supplementary informationSupplementary data are available.

genetics↗