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.
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:
- Allowing the development of more efficient methods for precision breeding
- Enhancing disease and pest resistance in crops
Financiële details & Tijdlijn
Financiële details
Subsidiebedrag | € 150.000 |
Totale projectbegroting | € 150.000 |
Tijdlijn
Startdatum | 1-1-2024 |
Einddatum | 30-6-2025 |
Subsidiejaar | 2024 |
Partners & Locaties
Projectpartners
- STOCKHOLMS UNIVERSITETpenvoerder
Land(en)
Vergelijkbare projecten binnen European Research Council
Project | Regeling | Bedrag | Jaar | Actie |
---|---|---|---|---|
MANUNKIND: Determinants and Dynamics of Collaborative ExploitationThis project aims to develop a game theoretic framework to analyze the psychological and strategic dynamics of collaborative exploitation, informing policies to combat modern slavery. | ERC STG | € 1.497.749 | 2022 | Details |
Elucidating the phenotypic convergence of proliferation reduction under growth-induced pressureThe 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. | ERC STG | € 1.498.280 | 2022 | Details |
Uncovering the mechanisms of action of an antiviral bacteriumThis project aims to uncover the mechanisms behind Wolbachia's antiviral protection in insects and develop tools for studying symbiont gene function. | ERC STG | € 1.500.000 | 2023 | Details |
The Ethics of Loneliness and SociabilityThis 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. | ERC STG | € 1.025.860 | 2023 | Details |
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.
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.
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.
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.
Vergelijkbare projecten uit andere regelingen
Project | Regeling | Bedrag | Jaar | Actie |
---|---|---|---|---|
Understanding the evolution of continuous genomesThis 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. | ERC ADG | € 2.499.851 | 2022 | Details |
Profile nucleases and Repurpose Off-Targets to Expand Gene EditingThe 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. | ERC STG | € 1.141.779 | 2023 | Details |
Prediction of genetic values and adaptive potential in the wildThis 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. | ERC COG | € 1.704.982 | 2025 | Details |
Predictive Models for Complex TraitsAxia NL BV en Genetwister Technologies BV ontwikkelen een Smart Breeding Strategy om de kwaliteit en smaak van gewassen te verbeteren door genotyping en phenotyping. | MIT R&D Samenwerking | € 200.000 | 2017 | Details |
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.
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.
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.
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.