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The evolutionary biology of crop plant DNA methylation

Project description

Uncovering the secrets of crop plant epigenome evolution

Crop plants are essential for global food security, yet our understanding of their genetic diversity remains incomplete. DNA methylation, a key epigenetic mechanism, plays a crucial role in how plants respond to environmental stress and evolve over time. With the support of the Marie Skłodowska-Curie Actions programme, the mC-EVOLVE project seeks to uncover the evolutionary principles governing crop plant methylation diversity. By integrating mathematical modelling, population genetics, and epigenetics, mC-EVOLVE aims to disentangle the evolutionary and environmental influences on methylation, assess the stability of methylation patterns across generations, and quantify evolutionary forces in various crop plants. This research could unlock new pathways to enhance crop resilience and adaptability, which is important for future agricultural innovation.

Objective

In this project, mC-EVOLVE, I aim to decipher the evolutionary principles governing crop plant methylation diversity. This newfound knowledge will unlock investigations into an underexplored source of functional variation. The project employs a multidisciplinary approach that encompasses mathematical modeling, population genetics, and epigenetics. It is structured around three main objectives:

Objective 1 - Separation of Evolutionary and Environmental Forces on Methylomes: I will develop an innovative inference tool to disentangle neutral, selective, and environmental influences on methylation variants. This will be achieved by inferring the genealogy along the methylome and evaluating the local correlations between genetic and methylation variants.

Objective 2 - Assessment of Transgenerational Stability of Methylation Alleles following Genomic Shock: Given that introgressive hybridization is a recurring phenomenon in crop plant enhancement, resulting in genomic shock and subsequent methylome remodeling, I will analyze introgression lines derived from crosses between wild and domesticated sunflowers to identify methylation patterns stable across multiple generations.

Objective 3 - Inference of Evolutionary Parameters in Crop Plants with Varied Methylation Patterns: I will analyze publicly accessible datasets containing genomes and methylomes from nine crop plants and their wild relatives to quantify the evolutionary forces affecting plant DNA methylation. This analysis aims to determine the variation in methylation rates across the phylogeny, facilitated by comparisons to the model plant Arabidopsis.

Through the development of a pioneering evolutionary inference approach for methylomes, the identification of the optimal marker class of crop plant methylation analysis, and the analysis of multiple open access crop plant methylomes, mC-EVOLVE is dedicated to advancing our comprehension of the evolutionary dynamics underlying crop plant DNA methylation.

Fields of science (EuroSciVoc)

Keywords

Programme(s)

Topic(s)

Funding Scheme

HORIZON-TMA-MSCA-PF-GF - HORIZON TMA MSCA Postdoctoral Fellowships - Global Fellowships

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Call for proposal

(opens in new window) HORIZON-MSCA-2023-PF-01

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Coordinator

TECHNISCHE UNIVERSITAET MUENCHEN
Net EU contribution
€ 280 751,52
Address
Arcisstrasse 21
80333 Muenchen
Germany
Region
Bayern Oberbayern München, Kreisfreie Stadt
Activity type
Higher or Secondary Education Establishments
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Total cost
No data

Partners (1)