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AdaptiveTarget: Accessing haplotype variation at complex loci with optimized targeting and adaptive sampling

Project description

Bioinformatic method for extracting plant genomic information

Genetic variation in resistance genes is essential for crop yield, but studying these complex genomic regions and disease-resistance genes poses challenges. Current methods have limitations that hinder a comprehensive understanding of genetic variation for crop improvement. In this context, the ERC-funded AdaptiveTarget project aims to develop a bioinformatic method using targeted long-read sequencing for complex plant genomic regions. This will enable researchers and breeders to obtain population-level haplotype information quickly, efficiently, and inexpensively. The project will initially validate the method by testing it on complex loci of agronomic importance and then explore options for patenting and licensing it. This method could foster innovation by facilitating precision breeding methods, especially for enhancing disease and pest resistance.

Objective

Genetic variation at resistance loci is crucial for sustained crop yield, given the challenges and increased pest and pathogen pressures resulting from a warming climate. Despite recent advances in massively parallel sequencing, disease resistance loci and other complex genomic regions of great practical, economical and scientific importance remain challenging to study. The severe limitations of current methods pose a major problem for fully understanding and harnessing genetic variation for crop improvement. We will develop AdaptiveTarget as a bioinformatic method based on targeted long-read sequencing, that will allow researchers and breeders to quickly, efficiently and inexpensively obtain population-level haplotype information for complex genomic regions such as resistance genes and self-incompatibility loci in plants. To explore the innovation potential of our ERC-funded research we will first undertake research to test and validate the project idea. Validation will benefit from known haplotype data for the complex S-locus supergene, produced in the ERC-funded project SuperGenE. To demonstrate the general utility of the method we will apply it to real-world examples consisting of complex loci of agronomic importance. Once the method is validated, we will investigate options for patenting and licensing the method. Our AdaptiveTarget method for fast and efficient targeted sequencing of complex genomic regions could greatly facilitate assessment of genetic variation at complex genomic regions of outstanding scientific, practical and economic interest. Therefore, our method could help drive innovation in several ways, by allowing the development of more efficient methods to conduct precision breeding for disease and pest resistance.

Fields of science (EuroSciVoc)

Programme(s)

Topic(s)

Funding Scheme

HORIZON-ERC-POC - HORIZON ERC Proof of Concept Grants

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Call for proposal

(opens in new window) ERC-2023-POC

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Host institution

STOCKHOLMS UNIVERSITET
Net EU contribution
€ 150 000,00
Address
UNIVERSITETSVAGEN 10
10691 Stockholm
Sweden
Region
Östra Sverige Stockholm Stockholms län
Activity type
Higher or Secondary Education Establishments
Links
Total cost
No data

Beneficiaries (1)