Genetics of adaptation

Maize spread rapidly after domestication, adapting to a wide range of environments. Today maize is grown across a broader geographic breadth than any of the world’s other staple crops, from sea level to altitudes of \(>4,000\)m and from deserts to near-flooded conditions. The wild relatives of maize have also adapted to environments varying widely in elevation, temperature, and moisture availability.

The lab is working on a number of projects using maize and its wild relatives to understand the genetic basis of adaptation. Representative publications include:

Experimental Evolution

Plant domestication and modern breeding represent examples of experimentally evolved populations. Studying these populations provides an opportunity to understand not only the genetic basis of evolutionary change but also how the processes of evolution interact to shape modern genetic and phenotypic diversity.

We have worked to understand selection during domestication, documenting its polygenic nature, the contributions of regulatory variation, and the importance of processes such as convergent molecular evolution and selection on standing genetic variation. Our detailed analyses of inbred lines have revealed little evidence for strong selection during modern maize breeding, instead highlighting the effect of small population sizes in partitioning diversity into distinct populations of increasingly narrow ancestry.

Our current work on domestication focuses on how demographic change interacts with selection to shape genetic and phenotypic diversity. Maize underwent a demographic bottleneck during domestication, reducing its effective population size and thus the efficacy of purifying selection. Purifying selection in teosinte is thus stronger due to its larger effective population size, resulting in both a deeper and wider valley of diversity around conserved genes. But maize population size grew quickly after domestication, eventually exceeding that of teosinte. New mutations in maize are thus subject to stronger selection than in teosinte, a shift reflected in patterns of variation in recent low frequency variants such as singleton polymorphisms.
Population demographic change can also impact the effect size, number, and dominance of loci underlying phenotypic traits .

Building on our work highlighting the importance of deleterious alleles in phenotypic variation, we have used experimentally evolved populations to track haplotype frequencies over time and assess the genetic basis of gain in hybrid yield. Our recent analysis finds little overlap in selected haplotypes between two populations bred for increasing hybrid yield, consistent with a model for complementation of deleterious variants brought to high frequency by hitchhiking.

Genome Evolution

In addition to discerning the genetic basis of phenotypic evolution, we are interested in understanding the processes that shape evolution of the genome itself. We have shown that differences in deletion bias can effect large changes in genome size over phylogenetic time scales and documented extensive variation in copy number across diverse maize and teosinte. Current work characterizing copy number variation in a single wild population of teosinte has revealed problems with population genetic methods that are unable to account for biologically missing data. Statistics such as Tajima’s D, for example, show a strong correlations with the frequency of deletions, potentially leading to false interpretations of selection or demographic change.

To better understand processes shaping genome evolution across populations, we are currently working to model genome size as a phenotype. We have developed methods to quantify the abundance of different repetitive fractions of the genome and test for selection on repeat abundance. Our initial results find evidence that overall genome size and heterochromatic knob abundance both are under selection for smaller genomes across altitudinal gradients, perhaps as a means of accelerating development and flowering.

While transposable elements (TEs) as a group do not appear to be under selection for genome size variation, they nonetheless make up the majority of most flowering plant genomes. We have previously shown important functional consequences of individual TE insertions on phenotype and gene expression, but we are just beginning to understand their genome-wide significance. Methods developed in other model organisms invariably fail to detect TE insertions in complex genomes such as maize, but we have developed approaches that take advantage of our de novo hand-curated annotation of TEs to accurately identify insertions in high-coverage resequencing data. TE polymorphism is abundant: individual lines contain hundreds of thousands of new insertions, including thousands of insertions into protein-coding genes. Analysis across a small set of lines has already revealed the impact of new insertions on gene expression and strong differences in insertion preference, methylation state, and allele frequency among different TE families. We aim to expand these analyses to include population genetic methods to identify selection on individual insertions, thus enabling us to better understand the role TEs play in driving genomic change and potentially adaptation in both natural and domesticated populations.