The population genetics of convergent adaptation in maize and teosinte is not locally restricted
What is the genetic architecture of local adaptation and what is the geographic scale over which it operates? We investigated patterns of local and convergent adaptation in five sympatric population pairs of traditionally cultivated maize and its wild relative teosinte ( Zea mays subsp. parviglumis ). We found that signatures of local adaptation based on the inference of adaptive fixations and selective sweeps are frequently exclusive to individual populations, more so in teosinte compared to maize. However, for both maize and teosinte, selective sweeps are also frequently shared by several populations, and often between subspecies. We were further able to infer that selective sweeps were shared among populations most often via migration, though sharing via standing variation was also common. Our analyses suggest that teosinte has been a continued source of beneficial alleles for maize, even after domestication, and that maize populations have facilitated adaptation in teosinte by moving beneficial alleles across the landscape. Taken together, our results suggest local adaptation in maize and teosinte has an intermediate geographic scale, one that is larger than individual populations but smaller than the species range.
Authors
- Anne Lorant (ORCID: https://orcid.org/0000-0001-5918-923X)
- Arun S. Seetharam (ORCID: https://orcid.org/0000-0002-6789-9298)
- José de Jesús Sánchez González (ORCID: https://orcid.org/0000-0002-1611-3603)
- James B. Holland (ORCID: https://orcid.org/0000-0002-4341-9675)
- Maud I. Tenaillon (ORCID: https://orcid.org/0000-0002-0867-3678)
- Silas Tittes (ORCID: https://orcid.org/0000-0003-4697-7434)
- Sean McGinty (ORCID: https://orcid.org/0000-0002-2428-2669)
- Jeffrey Ross‐Ibarra (ORCID: https://orcid.org/0000-0003-1656-4954)
Institutions
- Centre National de la Recherche Scientifique (FR)
- United States Department of Agriculture (US)
- North Carolina State University (US)
- Iowa State University (US)
- University of Oregon (US)
- Universidad de Guadalajara (MX)
- AgroParisTech (FR)
- Université Paris-Saclay (FR)
- Institut National de Recherche pour l'Agriculture, l'Alimentation et l'Environnement (FR)
- Génétique Quantitative et Évolution Le Moulon (FR)
- Plant (United States) (US)
- University of California, Davis (US)
Publication Details
- Journal
- eLife
- Published
- 2025-02-13
- DOI
- https://doi.org/10.7554/elife.92405.3
- Primary Topic
- Genetic Mapping and Diversity in Plants and Animals
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- U.S. Department of Agriculture