Evidence map›Paper›PMID 29132403›Full record

ArticleGenome biology2017

The interplay of demography and selection during maize domestication and expansion.

Li Wang, Timothy M Beissinger, Anne Lorant, Claudia Ross-Ibarra, Jeffrey Ross-Ibarra, Matthew B Hufford

Abstract read
In one paragraph

Article in Genome biology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 110 papers.

0numbers the graph read from it
0cells of the map it votes in
110citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

Who cites it

110 citing papers in PubMed.

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  17. An ancient origin of the naked grains of maize.Proceedings of the National Academy of Sciences of the United States of America · 2025
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50 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

6 authors.

Li WangDepartment of Ecology, Evolution, and Organismal Biology, Iowa State University, Ames, USA.
Timothy M BeissingerDepartment of Plant Sciences, University of California, Davis, USA.
Anne LorantDepartment of Plant Sciences, University of California, Davis, USA.
Claudia Ross-IbarraDepartment of Plant Sciences, University of California, Davis, USA.
Jeffrey Ross-IbarraDepartment of Plant Sciences, University of California, Davis, USA. rossibarra@ucdavis.edu.
Matthew B HuffordDepartment of Ecology, Evolution, and Organismal Biology, Iowa State University, Ames, USA. mhufford@iastate.edu.

Funding

National Science Foundation 1546719USDA Hatch project CA-D-PLS-2066-HU.S. Department of Agriculture 2009-65300-05668
6 · The paper itself

Abstract

backgroundThe history of maize has been characterized by major demographic events, including population size changes associated with domestication and range expansion, and gene flow with wild relatives. The interplay between demographic history and selection has shaped diversity across maize populations and genomes.

resultsWe investigate these processes using high-depth resequencing data from 31 maize landraces spanning the pre-Columbian distribution of maize, and four wild teosinte individuals (Zea mays ssp. parviglumis). Genome-wide demographic analyses reveal that maize experienced pronounced declines in effective population size due to both a protracted domestication bottleneck and serial founder effects during post-domestication spread, while parviglumis in the Balsas River Valley experienced population growth. The domestication bottleneck and subsequent spread led to an increase in deleterious alleles in the domesticate compared to the wild progenitor. This cost is particularly pronounced in Andean maize, which has experienced a more dramatic founder event compared to other maize populations. Additionally, we detect introgression from the wild teosinte Zea mays ssp. mexicana into maize in the highlands of Mexico, Guatemala, and the southwestern USA, which reduces the prevalence of deleterious alleles likely due to the higher long-term effective population size of teosinte.

conclusionsThese findings underscore the strong interaction between historical demography and the efficiency of selection and illustrate how domesticated species are particularly useful for understanding these processes. The landscape of deleterious alleles and therefore evolutionary potential is clearly influenced by recent demography, a factor that could bear importantly on many species that have experienced recent demographic shifts.

Indexed as

DomesticationSelection, GeneticAllelesInbreedingMutationPopulation DensityZea maysDemographyDomesticationGenetic loadMaize

Identifiers

PMID29132403
PMCPMC5683586

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.