Scalable eQTL mapping using single-nucleus RNA-sequencing of recombined gametes from a small number of individuals

Phenotypic differences between individuals of a species are often caused by differences in gene expression, which are in turn caused by genetic variation. Expression quantitative trait locus (eQTL) analysis is a methodology by which we can identify such causal variants. Scaling eQTL analysis is costly due to the expense of generating mapping populations, and the collection of matched transcriptomic and genomic information. We developed a rapid eQTL analysis approach using single-cell/nucleus RNA sequencing of gametes from a small number of heterozygous individuals. Patterns of inherited polymorphisms are used to infer the recombinant genomes of thousands of individual gametes and identify how different haplotypes correlate with variation in gene expression. Applied to Arabidopsis pollen nuclei, our approach uncovers both cis- and trans-eQTLs, ultimately mapping variation in a master regulator of sperm cell development that affects the expression of hundreds of genes. This establishes snRNA-sequencing as a powerful, cost-effective method for the mapping of meiotic recombination, addressing the scalability challenges of eQTL analysis and enabling eQTL mapping in specific cell-types.

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Publication Details

Journal
PLoS Biology
Published
2025-04-25
DOI
https://doi.org/10.1371/journal.pbio.3003085
Citations
3
Primary Topic
Chromosomal and Genetic Variations
Type
article
Field-Weighted Citation Impact
5.25

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Scalable eQTL mapping using single-nucleus RNA-sequencing of recombined gametes from a small number of individuals

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3 citations
PLoS Biology
Chromosomal and Genetic Variations
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article

Scalable eQTL mapping using single-nucleus RNA-sequencing of recombined gametes from a small number of individuals

José Antonio Campoy, Korbinian Schneeberger, Sergio Tusso, Magdalena Marek, Samija Amar, Matthew T Parker, Kristin S Krause, Bruno Hüettel
article en
3 citations

Abstract

Phenotypic differences between individuals of a species are often caused by differences in gene expression, which are in turn caused by genetic variation. Expression quantitative trait locus (eQTL) analysis is a methodology by which we can identify such causal variants. Scaling eQTL analysis is costly due to the expense of generating mapping populations, and the collection of matched transcriptomic and genomic information. We developed a rapid eQTL analysis approach using single-cell/nucleus RNA sequencing of gametes from a small number of heterozygous individuals. Patterns of inherited polymorphisms are used to infer the recombinant genomes of thousands of individual gametes and identify how different haplotypes correlate with variation in gene expression. Applied to Arabidopsis pollen nuclei, our approach uncovers both cis- and trans-eQTLs, ultimately mapping variation in a master regulator of sperm cell development that affects the expression of hundreds of genes. This establishes snRNA-sequencing as a powerful, cost-effective method for the mapping of meiotic recombination, addressing the scalability challenges of eQTL analysis and enabling eQTL mapping in specific cell-types.

PLoS BiologyVol. 23(4)
Cluster of Excellence on Plant Sciences (DE), Max Planck Institute for Plant Breeding Research (DE), Max Planck Graduate Center (DE), Heinrich Heine University Düsseldorf (DE), Ludwig-Maximilians-Universität München (DE)
Deutsche Forschungsgemeinschaft, H2020 European Research Council
Life in Land
Openalex Percentile: Top 6%
Chromosomal and Genetic Variations
5.25
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