Alexandre Duplan

ORCID: 0000-0002-5592-0117
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About
Contact & Profiles
Research Areas
  • Epigenetics and DNA Methylation
  • RNA modifications and cancer
  • Genetic Syndromes and Imprinting
  • Soybean genetics and cultivation
  • Bioenergy crop production and management
  • Genomics and Phylogenetic Studies
  • Plant and Biological Electrophysiology Studies

Université de Bordeaux
2024

UMR BIOdiversity, GEnes & Communities
2024

Centre d'Études Scientifiques et Techniques d'Aquitaine
2024

Direction de la Recherche Fondamentale
2024

Centre National de Recherche en Génomique Humaine
2023-2024

CEA Paris-Saclay
2024

Université Paris-Saclay
2024

Commissariat à l'Énergie Atomique et aux Énergies Alternatives
2024

Génétique, Diversité, Écophysiologie des Céréales
2024

Institut National de Recherche pour l'Agriculture, l'Alimentation et l'Environnement
2023-2024

Motivation: DNA methylation plays a crucial role in gene regulation and epigenetic inheritance, making it essential information for studies of genotype-environment interactions. As whole genome sequencing analysis is still expensive at the population level, focus on regions interest. However, data matrices may contain missing some individuals, which can hamper analyses. Here, several methods imputing were evaluated targeted two species. Results: We compare seven different imputation obtained...

10.1101/2025.03.21.644107 preprint EN cc-by-nc bioRxiv (Cold Spring Harbor Laboratory) 2025-03-25

Abstract In the last 20 years, several techniques have been developed for quantifying DNA methylation, most studied epigenetic marks in eukaryotes, including gold standard method, whole-genome bisulfite sequencing (WGBS). WGBS quantifies genome-wide methylation but has inconveniences rendering it less suitable population-scale studies. The high cost of deep and large amounts data generated prompted us to seek an alternative approach. Restricting studies parts genome would be a satisfactory...

10.1093/jxb/erae266 article EN Journal of Experimental Botany 2024-06-18

We developed a strategy and workflow for quantifying epigenetic diversity in natural populations combining whole genome targeted capture sequencing DNA methylation. first identified regions of highly variable methylation representative subset genotypes the biological population by WGBS. then analysed variations these at level Sequencing Capture Bisulphite (SeqCapBis).

10.17504/protocols.io.8epv5xw4ng1b/v1 preprint EN 2024-03-14
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