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This content will become publicly available on June 24, 2026

Title: An ancient origin of the naked grains of maize
Adaptation to novel environments requires genetic variation, but whether adaptation typically acts upon preexisting genetic variation or must wait for new mutations remains a fundamental question in evolutionary biology. Selection during domestication has been long used as a model to understand evolutionary processes, providing information not only on the phenotypes selected but also, in many cases, an understanding of the causal loci. For each of the causal loci that have been identified in maize, the selected allele can be found segregating in natural populations, consistent with their origin as standing genetic variation. The sole exception to this pattern is the well-characterized domestication locustga1(teosinte glume architecture1), which has long been thought to be an example of selection on a de novo mutation. Here, we use a large dataset of maize and teosinte genomes to reconstruct the origin and evolutionary history oftga1. We first estimated the age oftga1-maizeusing a genealogy-based method, finding that the allele arose approximately 42,000 to 49,000 y ago, predating the beginning of maize domestication. We also identifytga1-maizein teosinte populations, indicating that the allele can survive in the wild. Finally, we compare observed patterns of haplotype structure and mutational age distributions neartga1with simulations, finding that patterns neartga1in maize better resemble those generated under simulated selective sweeps on standing variation. These multiple lines of evidence suggest that maize domestication likely drew upon standing genetic variation attga1and cement the importance of standing variation in driving adaptation during domestication.  more » « less
Award ID(s):
2307175
PAR ID:
10630715
Author(s) / Creator(s):
;
Publisher / Repository:
PNAS
Date Published:
Journal Name:
Proceedings of the National Academy of Sciences
Volume:
122
Issue:
25
ISSN:
0027-8424
Format(s):
Medium: X
Sponsoring Org:
National Science Foundation
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