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Low genetic variation is associated with low mutation rate in the giant duckweed

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Listed:
  • Shuqing Xu

    (University of Münster)

  • Jessica Stapley

    (ETH Zurich)

  • Saskia Gablenz

    (Max Planck Institute for Chemical Ecology)

  • Justin Boyer

    (Max Planck Institute for Chemical Ecology)

  • Klaus J. Appenroth

    (Friedrich Schiller University of Jena)

  • K. Sowjanya Sree

    (Central University of Kerala)

  • Jonathan Gershenzon

    (Max Planck Institute for Chemical Ecology)

  • Alex Widmer

    (ETH Zurich)

  • Meret Huber

    (Max Planck Institute for Chemical Ecology
    University of Münster)

Abstract

Mutation rate and effective population size (Ne) jointly determine intraspecific genetic diversity, but the role of mutation rate is often ignored. Here we investigate genetic diversity, spontaneous mutation rate and Ne in the giant duckweed (Spirodela polyrhiza). Despite its large census population size, whole-genome sequencing of 68 globally sampled individuals reveals extremely low intraspecific genetic diversity. Assessed under natural conditions, the genome-wide spontaneous mutation rate is at least seven times lower than estimates made for other multicellular eukaryotes, whereas Ne is large. These results demonstrate that low genetic diversity can be associated with large-Ne species, where selection can reduce mutation rates to very low levels. This study also highlights that accurate estimates of mutation rate can help to explain seemingly unexpected patterns of genome-wide variation.

Suggested Citation

  • Shuqing Xu & Jessica Stapley & Saskia Gablenz & Justin Boyer & Klaus J. Appenroth & K. Sowjanya Sree & Jonathan Gershenzon & Alex Widmer & Meret Huber, 2019. "Low genetic variation is associated with low mutation rate in the giant duckweed," Nature Communications, Nature, vol. 10(1), pages 1-6, December.
    • Handle: RePEc:nat:natcom:v:10:y:2019:i:1:d:10.1038_s41467-019-09235-5
    DOI: 10.1038/s41467-019-09235-5
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    Cited by:

    1. Xue, Shuai & Guo, Mengqi & Iqbal, Yasir & Liao, Jianfeng & Yang, Sai & Xiao, Liang & Yi, Zili, 2020. "Mapping current distribution and genetic diversity of the native Miscanthus lutarioriparius across China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 134(C).

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