Copy number variation contributes to parallel local adaptation in an invasive plant

J Jonathan Wilson (School of Biological Sciences, Monash University) V Vanessa C. Bieker (Department of Natural History, Norwegian University of Science and Technology University Museum, Norwegian University of Science and Technology) L Lotte van Boheemen (School of Biological Sciences, Monash University) T Tim Connallon (School of Biological Sciences, Monash University) M Michael D. Martin (Department of Natural History, Norwegian University of Science and Technology University Museum, Norwegian University of Science and Technology) P Paul Battlay (School of Biological Sciences, Monash University) K Kathryn A. Hodgins (School of Biological Sciences, Monash University)

Abstract

Adaptation is a critical determinant of the diversification, persistence, and geographic range limits of species. Yet the genetic basis of adaptation is often unknown and potentially underpinned by a wide range of mutational types—from single nucleotide changes to large-scale alterations of chromosome structure. Copy number variation (CNV) is thought to be an important source of adaptive genetic variation, as indicated by decades of candidate gene studies that point to CNVs underlying rapid adaptation to strong selective pressures. Nevertheless, population-genomic studies of CNVs face unique logistical challenges not encountered by other forms of genetic variation. Consequently, few studies have systematically investigated the contributions of CNVs to adaptation at a genome-wide scale. We present a genome-wide analysis of CNV contributing to the adaptation of an invasive weed, Ambrosia artemisiifolia . CNVs show clear signatures of parallel local adaptation between North American (native) and European (invaded) ranges, implying widespread reuse of CNVs during adaptation to shared heterogeneous patterns of selection. We used a local principal component analysis (PCA) to genotype CNV regions in whole-genome sequences of samples collected over the last two centuries. We identified 16 large CNV regions of up to 11.85 megabases in length, eight of which show signals of rapid evolutionary change, with pronounced frequency shifts between historic and modern populations. Our results provide compelling genome-wide evidence that CNV underlies rapid adaptation over contemporary timescales of natural populations.

Article Details

Volume / Issue Vol. 122, Issue 10
Published March 11, 2025
ISSN 0027-8424
Publisher National Academy of Sciences

Authors (7)

J

Jonathan Wilson

School of Biological Sciences, Monash University

V

Vanessa C. Bieker

Department of Natural History, Norwegian University of Science and Technology University Museum, Norwegian University of Science and Technology

L

Lotte van Boheemen

School of Biological Sciences, Monash University

T

Tim Connallon

School of Biological Sciences, Monash University

M

Michael D. Martin

Department of Natural History, Norwegian University of Science and Technology University Museum, Norwegian University of Science and Technology

P

Paul Battlay

School of Biological Sciences, Monash University

K

Kathryn A. Hodgins

School of Biological Sciences, Monash University