Repeated origins, gene flow, and allelic interactions of herbicide resistance mutations in a widespread agricultural weed Article Swipe
Julia M. Kreiner
,
Gerald Sandler
,
Aaron J. Stern
,
Patrick J. Tranel
,
Detlef Weigel
,
John R. Stinchcombe
,
Stephen Wright
·
YOU?
·
· 2021
· Open Access
·
· DOI: https://doi.org/10.1101/2021.05.10.443516
YOU?
·
· 2021
· Open Access
·
· DOI: https://doi.org/10.1101/2021.05.10.443516
Causal mutations and their frequency in agricultural fields are well-characterized for herbicide resistance. However, we still lack an 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 estimate of 8 × 10 7 . 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.
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Metadata
- Type
- preprint
- Language
- en
- Landing Page
- https://doi.org/10.1101/2021.05.10.443516
- https://www.biorxiv.org/content/biorxiv/early/2021/05/10/2021.05.10.443516.full.pdf
- OA Status
- green
- Cited By
- 3
- References
- 131
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W3162461362
All OpenAlex metadata
Raw OpenAlex JSON
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- DOI
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https://doi.org/10.1101/2021.05.10.443516Digital Object Identifier
- Title
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Repeated origins, gene flow, and allelic interactions of herbicide resistance mutations in a widespread agricultural weedWork title
- Type
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preprintOpenAlex work type
- Language
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enPrimary language
- Publication year
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2021Year of publication
- Publication date
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2021-05-10Full publication date if available
- Authors
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Julia M. Kreiner, Gerald Sandler, Aaron J. Stern, Patrick J. Tranel, Detlef Weigel, John R. Stinchcombe, Stephen WrightList of authors in order
- Landing page
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https://doi.org/10.1101/2021.05.10.443516Publisher landing page
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https://www.biorxiv.org/content/biorxiv/early/2021/05/10/2021.05.10.443516.full.pdfDirect link to full text PDF
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YesWhether a free full text is available
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greenOpen access status per OpenAlex
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https://www.biorxiv.org/content/biorxiv/early/2021/05/10/2021.05.10.443516.full.pdfDirect OA link when available
- Concepts
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Biology, Allele, Genetics, Gene flow, Locus (genetics), Population, Evolutionary biology, Adaptation (eye), Gene, Haplotype, Genetic variation, Demography, Sociology, NeuroscienceTop concepts (fields/topics) attached by OpenAlex
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3Total citation count in OpenAlex
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2023: 1, 2021: 2Per-year citation counts (last 5 years)
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131Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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