Go west: Population genomics reveals unexpected population fluctuations and little gene flow in Western hemisphere populations of the predatory lady beetle, Hippodamia convergens

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Abstract

Hippodamia convergens—the convergent lady beetle, has been used extensively in augmentative biological control of aphids, thrips, and whiteflies across its native range in North America, and was introduced into South America in the 1950s. Overwintering H. convergens populations from its native western range in the United States are commercially collected and released across its current range in the eastern USA, with little knowledge of the effectiveness of its augmentative biological control. Here we use a novel ddRADseq-based SNP/haplotype discovery approach to estimate its range-wide population diversity, differentiation, and recent evolutionary history. Our results indicate (1) significant population differentiation among eastern USA, western USA, and South American populations of H. convergens, with (2) little to no detectable recent admixture between them, despite repeated population augmentation, and (3) continued recent population size expansion across its range. These results contradict previous findings using microsatellite markers. In light of these new findings, the implications for the effectiveness of augmentative biological control using H. convergens are discussed. Additionally, because quantifying the non-target effects of augmentative biological control is a difficult problem in migratory beetles, our results could serve as a cornerstone in improving and predicting the efficacy of future releases of H. convergens across its range.

Original languageEnglish
Article numbere13631
JournalEvolutionary Applications
Volume17
Issue number1
DOIs
StatePublished - Jan 2024

Bibliographical note

Publisher Copyright:
© 2023 The Authors. Evolutionary Applications published by John Wiley & Sons Ltd.

Funding

This work was supported by NSF ABI 1564659, NSF CAREER 2042516 to AS. This work was funded by the National Institute of Food and Agriculture, U.S. Department of Agriculture, Hatch Program under accession number 1008480 and funds from the University of Kentucky Bobby C. Pass Research Professorship to JJO. This research includes calculations carried out on HPC resources supported in part by the National Science Foundation through major research instrumentation grant number 1625061 and by the US Army Research Laboratory under contract number W911NF- 16-2-0189. We thank Drs. Lindsey Milbrath, James Nechols, John Ruberson, Catherine Tauber, Maurice Tauber, and Christopher Wheeler for collecting H. convergens in the US and Dr. Audrey Grez, Universidad de Chile, for the H. convergens from Chile. This work was supported by NSF ABI 1564659, NSF CAREER 2042516 to AS. This work was funded by the National Institute of Food and Agriculture, U.S. Department of Agriculture, Hatch Program under accession number 1008480 and funds from the University of Kentucky Bobby C. Pass Research Professorship to JJO. This research includes calculations carried out on HPC resources supported in part by the National Science Foundation through major research instrumentation grant number 1625061 and by the US Army Research Laboratory under contract number W911NF‐ 16‐2‐0189. We thank Drs. Lindsey Milbrath, James Nechols, John Ruberson, Catherine Tauber, Maurice Tauber, and Christopher Wheeler for collecting .  in the US and Dr. Audrey Grez, Universidad de Chile, for the .  from Chile. H convergens H convergens

FundersFunder number
US Department of Agriculture National Institute of Food and Agriculture, Agriculture and Food Research Initiative
University of Kentucky Bobby
Universidad de los Andes, Chile
U.S. Department of Agriculture
DEVCOM Army Research LaboratoryW911NF- 16-2-0189, 16‐2‐0189
National Science Foundation Arctic Social Science Program1625061, 2042516, ABI 1564659, 1008480

    Keywords

    • bioinfomatics/phyloinfomatics
    • empirical
    • natural
    • population genetics
    • selection and contemporary evolution

    ASJC Scopus subject areas

    • Ecology, Evolution, Behavior and Systematics
    • Genetics
    • General Agricultural and Biological Sciences

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