Repeated origins, widespread gene flow, and allelic interactions of target-site herbicide resistance mutations

  1. Julia M Kreiner  Is a corresponding author
  2. George Sandler
  3. Aaron J Stern
  4. Patrick J Tranel
  5. Detlef Weigel
  6. John Stinchcombe
  7. Stephen Isaac Wright
  1. University of Toronto, Canada
  2. University of California, Berkeley, United States
  3. University of Illinois Urbana-Champaign, United States
  4. Max Planck Institute for Developmental Biology, Germany

Abstract

Causal mutations and their frequency in agricultural fields are well-characterized for herbicide resistance. However, we still lack understanding of their evolutionary history: the extent of parallelism in the origins of target-site resistance (TSR), how long these mutations persist, how quickly they spread, and allelic interactions that mediate their selective advantage. We addressed these questions with genomic data from 18 agricultural populations of common waterhemp (Amaranthus tuberculatus), which we show to have undergone a massive expansion over the past century, with a contemporary effective population size (Ne) estimate of 8x107. We found variation at seven characterized TSR loci, two of which had multiple amino acid substitutions, and three of which were common. These three common resistance variants show parallelism in their mutational origins, with gene flow having shaped their distribution across the landscape. Allele age estimates supported a strong role of adaptation from de novo mutations, with a median allele age of 30 suggesting that most resistance alleles arose soon after the onset of herbicide use. However, resistant lineages varied in both their age and evidence for selection over two different timescales, implying considerable heterogeneity in the forces that govern their persistence. The evolutionary history of TSR has also been shaped by both intra- and inter-locus allelic interactions. We report a signal of extended haplotype competition between two common TSR alleles, and extreme linkage with genome-wide alleles with known functions in resistance adaptation. Together, this work reveals a remarkable example of spatial parallel evolution in a metapopulation, with important implications for the management of herbicide resistance.

Data availability

Sequencing data used in this paper were previously deposited in ENA under project number PRJEB31711, and reference genome is available on CoGe (reference ID = 54057). Code used to generate results in this paper is available at https://github.com/jkreinz/TSRevolution.

The following previously published data sets were used

Article and author information

Author details

  1. Julia M Kreiner

    Department of Ecology and Evolutionary Biology, University of Toronto, Toronto, Canada
    For correspondence
    julia.kreiner@mail.utoronto.ca
    Competing interests
    No competing interests declared.
    ORCID icon "This ORCID iD identifies the author of this article:" 0000-0002-8593-1394
  2. George Sandler

    Department of Ecology and Evolutionary Biology, University of Toronto, Toronto, Canada
    Competing interests
    No competing interests declared.
  3. Aaron J Stern

    Graduate Group in Computational Biology, University of California, Berkeley, Berkeley, United States
    Competing interests
    No competing interests declared.
  4. Patrick J Tranel

    Department of Crop Sciences, University of Illinois Urbana-Champaign, Urbana, United States
    Competing interests
    No competing interests declared.
  5. Detlef Weigel

    Department of Molecular Biology, Max Planck Institute for Developmental Biology, Tübingen, Germany
    Competing interests
    Detlef Weigel, Deputy editor of eLife.
    ORCID icon "This ORCID iD identifies the author of this article:" 0000-0002-2114-7963
  6. John Stinchcombe

    Department of Ecology and Evolutionary Biology, University of Toronto, Toronto, Canada
    Competing interests
    No competing interests declared.
    ORCID icon "This ORCID iD identifies the author of this article:" 0000-0003-3349-2964
  7. Stephen Isaac Wright

    Department of Ecology and Evolutionary Biology, University of Toronto, Toronto, Canada
    Competing interests
    No competing interests declared.

Funding

Natural Sciences and Engineering Research Council of Canada (PGS-D)

  • Julia M Kreiner

Society for the Study of Evolution (Rosemary Grant Advanced Award)

  • Julia M Kreiner

Natural Sciences and Engineering Research Council of Canada (Discovery Grant)

  • John Stinchcombe
  • Stephen Isaac Wright

Canada Research Chairs (Population Genomics)

  • Stephen Isaac Wright

Max Planck Institute for Dynamics of Complex Technical Systems Magdeburg

  • Detlef Weigel

The funders had no role in study design, data collection and interpretation, or the decision to submit the work for publication.

Copyright

© 2022, Kreiner et al.

This article is distributed under the terms of the Creative Commons Attribution License permitting unrestricted use and redistribution provided that the original author and source are credited.

Metrics

  • 2,045
    views
  • 328
    downloads
  • 13
    citations

Views, downloads and citations are aggregated across all versions of this paper published by eLife.

Download links

A two-part list of links to download the article, or parts of the article, in various formats.

Downloads (link to download the article as PDF)

Open citations (links to open the citations from this article in various online reference manager services)

Cite this article (links to download the citations from this article in formats compatible with various reference manager tools)

  1. Julia M Kreiner
  2. George Sandler
  3. Aaron J Stern
  4. Patrick J Tranel
  5. Detlef Weigel
  6. John Stinchcombe
  7. Stephen Isaac Wright
(2022)
Repeated origins, widespread gene flow, and allelic interactions of target-site herbicide resistance mutations
eLife 11:e70242.
https://doi.org/10.7554/eLife.70242

Share this article

https://doi.org/10.7554/eLife.70242

Further reading

    1. Computational and Systems Biology
    2. Evolutionary Biology
    Pierre Barrat-Charlaix, Richard A Neher
    Research Article

    As pathogens spread in a population of hosts, immunity is built up, and the pool of susceptible individuals are depleted. This generates selective pressure, to which many human RNA viruses, such as influenza virus or SARS-CoV-2, respond with rapid antigenic evolution and frequent emergence of immune evasive variants. However, the host’s immune systems adapt, and older immune responses wane, such that escape variants only enjoy a growth advantage for a limited time. If variant growth dynamics and reshaping of host-immunity operate on comparable time scales, viral adaptation is determined by eco-evolutionary interactions that are not captured by models of rapid evolution in a fixed environment. Here, we use a Susceptible/Infected model to describe the interaction between an evolving viral population in a dynamic but immunologically diverse host population. We show that depending on strain cross-immunity, heterogeneity of the host population, and durability of immune responses, escape variants initially grow exponentially, but lose their growth advantage before reaching high frequencies. Their subsequent dynamics follows an anomalous random walk determined by future escape variants and results in variant trajectories that are unpredictable. This model can explain the apparent contradiction between the clearly adaptive nature of antigenic evolution and the quasi-neutral dynamics of high-frequency variants observed for influenza viruses.

    1. Ecology
    2. Evolutionary Biology
    Rebecca D Tarvin, Jeffrey L Coleman ... Richard W Fitch
    Research Article

    Understanding the origins of novel, complex phenotypes is a major goal in evolutionary biology. Poison frogs of the family Dendrobatidae have evolved the novel ability to acquire alkaloids from their diet for chemical defense at least three times. However, taxon sampling for alkaloids has been biased towards colorful species, without similar attention paid to inconspicuous ones that are often assumed to be undefended. As a result, our understanding of how chemical defense evolved in this group is incomplete. Here, we provide new data showing that, in contrast to previous studies, species from each undefended poison frog clade have measurable yet low amounts of alkaloids. We confirm that undefended dendrobatids regularly consume mites and ants, which are known sources of alkaloids. Thus, our data suggest that diet is insufficient to explain the defended phenotype. Our data support the existence of a phenotypic intermediate between toxin consumption and sequestration — passive accumulation — that differs from sequestration in that it involves no derived forms of transport and storage mechanisms yet results in low levels of toxin accumulation. We discuss the concept of passive accumulation and its potential role in the origin of chemical defenses in poison frogs and other toxin-sequestering organisms. In light of ideas from pharmacokinetics, we incorporate new and old data from poison frogs into an evolutionary model that could help explain the origins of acquired chemical defenses in animals and provide insight into the molecular processes that govern the fate of ingested toxins.