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Deep haplotype analyses of target-site resistance locus ACCase in blackgrass enabled by pool-based amplicon sequencing

View ORCID ProfileSonja Kersten, View ORCID ProfileFernando A. Rabanal, View ORCID ProfileJohannes Herrmann, Martin Hess, View ORCID ProfileZev N. Kronenberg, View ORCID ProfileKarl Schmid, View ORCID ProfileDetlef Weigel
doi: https://doi.org/10.1101/2022.06.22.496946
Sonja Kersten
1Institute of Plant Breeding, Seed Science and Population Genetics, University of Hohenheim, Stuttgart, Germany
2Department of Molecular Biology, Max Planck Institute for Biology Tübingen, Tübingen, Germany
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  • ORCID record for Sonja Kersten
Fernando A. Rabanal
2Department of Molecular Biology, Max Planck Institute for Biology Tübingen, Tübingen, Germany
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  • For correspondence: fernando.rabanal@tue.mpg.de weigel@tue.mpg.de
Johannes Herrmann
3Agris42 GmbH, Stuttgart, Germany
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Martin Hess
3Agris42 GmbH, Stuttgart, Germany
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Zev N. Kronenberg
4Pacific Biosciences, Menlo Park, CA, USA
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Karl Schmid
1Institute of Plant Breeding, Seed Science and Population Genetics, University of Hohenheim, Stuttgart, Germany
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Detlef Weigel
2Department of Molecular Biology, Max Planck Institute for Biology Tübingen, Tübingen, Germany
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  • For correspondence: fernando.rabanal@tue.mpg.de weigel@tue.mpg.de
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Abstract

Rapid adaptation of weeds to herbicide applications in agriculture through resistance development is a widespread phenomenon. In particular, the grass Alopecurus myosuroides is an extremely problematic weed in cereal crops with the potential to manifest resistance in the course of only a few generations. Target-site resistances (TSRs), with their strong phenotypic response, play an important role in this rapid adaptive response. Recently, using PacBio’s long-read amplicon sequencing technology in hundreds of individuals, we were able to decipher the genomic context in which TSR mutations occur. However, sequencing individual amplicons is both costly and time consuming, thus impractical to implement for other resistance loci or applications. Alternatively, pool-based approaches overcome these limitations and provide reliable allele frequencies, albeit at the expense of not preserving haplotype information. In this proof-of-concept study, we sequenced with PacBio High Fidelity (HiFi) reads long-range amplicons (13.2 kb) encompassing the entire ACCase gene in pools of over hundred individuals, and resolved them into haplotypes using the clustering algorithm PacBio amplicon analysis (pbaa), a new application for pools and for plants. From these amplicon pools, we were able to recover most haplotypes from previously sequenced individuals of the same population. In addition, we analyzed new pools from a Germany-wide collection of A. myosuroides populations and found that TSR mutations originating from soft sweeps of independent origin were common. Forward-in-time simulations indicate that TSR haplotypes will persist for decades even at relatively low frequencies and without selection, pointing to the importance of accurate measurement of TSR haplotype prevalence for weed management.

Competing Interest Statement

J.H is the founder and M.H the owner of Agris42, a company providing herbicide resistance testing services and weed management consultation to farmers. D.W. holds equity and S.K. is an employee of Computomics, which advises breeders. Z.N.K. is an employee and shareholder of Pacific Biosciences, a company developing single-molecule sequencing technologies. Other authors declare no competing or financial interests.

Footnotes

  • https://github.com/SonjaKersten/TSR_amplicon_pools

  • https://keeper.mpdl.mpg.de/d/4ad572a2aab54299a5a2

Copyright 
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY 4.0 International license.
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Posted June 24, 2022.
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Deep haplotype analyses of target-site resistance locus ACCase in blackgrass enabled by pool-based amplicon sequencing
Sonja Kersten, Fernando A. Rabanal, Johannes Herrmann, Martin Hess, Zev N. Kronenberg, Karl Schmid, Detlef Weigel
bioRxiv 2022.06.22.496946; doi: https://doi.org/10.1101/2022.06.22.496946
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Deep haplotype analyses of target-site resistance locus ACCase in blackgrass enabled by pool-based amplicon sequencing
Sonja Kersten, Fernando A. Rabanal, Johannes Herrmann, Martin Hess, Zev N. Kronenberg, Karl Schmid, Detlef Weigel
bioRxiv 2022.06.22.496946; doi: https://doi.org/10.1101/2022.06.22.496946

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