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

Developing AdaptiveTarget, a bioinformatic method for efficient long-read sequencing of complex genomic regions, to enhance crop disease resistance and improve precision breeding.

Subsidie
€ 150.000
2024

Projectdetails

Introduction

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.

Challenges in Current Methods

The severe limitations of current methods pose a major problem for fully understanding and harnessing genetic variation for crop improvement.

Development of AdaptiveTarget

We will develop AdaptiveTarget as a bioinformatic method based on targeted long-read sequencing. This method will allow researchers and breeders to:

  • Quickly obtain population-level haplotype information
  • Efficiently analyze complex genomic regions such as resistance genes and self-incompatibility loci in plants
  • Inexpensively conduct studies on genetic variation

Research and Validation

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.

Application of the Method

To demonstrate the general utility of the method, we will apply it to real-world examples consisting of complex loci of agronomic importance.

Future Steps

Once the method is validated, we will investigate options for patenting and licensing the method.

Impact of AdaptiveTarget

Our AdaptiveTarget method for fast and efficient targeted sequencing of complex genomic regions could greatly facilitate the 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, including:

  1. Allowing the development of more efficient methods for precision breeding
  2. Enhancing disease and pest resistance in crops

Financiële details & Tijdlijn

Financiële details

Subsidiebedrag€ 150.000
Totale projectbegroting€ 150.000

Tijdlijn

Startdatum1-1-2024
Einddatum30-6-2025
Subsidiejaar2024

Partners & Locaties

Projectpartners

  • STOCKHOLMS UNIVERSITETpenvoerder

Land(en)

Sweden

Vergelijkbare projecten binnen European Research Council

ERC STG

MANUNKIND: Determinants and Dynamics of Collaborative Exploitation

This project aims to develop a game theoretic framework to analyze the psychological and strategic dynamics of collaborative exploitation, informing policies to combat modern slavery.

€ 1.497.749
ERC STG

Elucidating the phenotypic convergence of proliferation reduction under growth-induced pressure

The UnderPressure project aims to investigate how mechanical constraints from 3D crowding affect cell proliferation and signaling in various organisms, with potential applications in reducing cancer chemoresistance.

€ 1.498.280
ERC STG

Uncovering the mechanisms of action of an antiviral bacterium

This project aims to uncover the mechanisms behind Wolbachia's antiviral protection in insects and develop tools for studying symbiont gene function.

€ 1.500.000
ERC STG

The Ethics of Loneliness and Sociability

This project aims to develop a normative theory of loneliness by analyzing ethical responsibilities of individuals and societies to prevent and alleviate loneliness, establishing a new philosophical sub-field.

€ 1.025.860

Vergelijkbare projecten uit andere regelingen

ERC ADG

Understanding the evolution of continuous genomes

This project aims to develop a new framework for population genomics by analyzing genetic variation across linear genomes to enhance understanding of selection and population structure.

€ 2.499.851
ERC STG

Profile nucleases and Repurpose Off-Targets to Expand Gene Editing

The PROTÉGÉ project aims to enhance gene editing safety and diversity by profiling programmable nucleases and exploring off-target effects for improved precision in genetic therapies.

€ 1.141.779
ERC COG

Prediction of genetic values and adaptive potential in the wild

This project aims to enhance understanding of eco-evolutionary processes in wild populations using advanced genomic data and statistical methods to address biodiversity loss and species adaptability.

€ 1.704.982
MIT R&D Samenwerking

Predictive Models for Complex Traits

Axia NL BV en Genetwister Technologies BV ontwikkelen een Smart Breeding Strategy om de kwaliteit en smaak van gewassen te verbeteren door genotyping en phenotyping.

€ 200.000