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


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2019-12

AUTHORS

Shuqing Xu, Jessica Stapley, Saskia Gablenz, Justin Boyer, Klaus J. Appenroth, K. Sowjanya Sree, Jonathan Gershenzon, Alex Widmer, Meret Huber

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. More... »

PAGES

1243

References to SciGraph publications

  • 2017-12. Mutation accumulation under UV radiation in Escherichia coli in SCIENTIFIC REPORTS
  • 2014-12. The Spirodela polyrhiza genome reveals insights into its neotenous reduction fast growth and aquatic lifestyle in NATURE COMMUNICATIONS
  • 2008-08. Tuning gene expression to changing environments: from rapid responses to evolutionary adaptation in NATURE REVIEWS GENETICS
  • 2016-12. AdapterRemoval v2: rapid adapter trimming, identification, and read merging in BMC RESEARCH NOTES
  • 2016-07. Determinants of genetic diversity in NATURE REVIEWS GENETICS
  • 2014-11. Comparative population genomics in animals uncovers the determinants of genetic diversity in NATURE
  • 2015-07. Combining tumor genome simulation with crowdsourcing to benchmark somatic single-nucleotide-variant detection in NATURE METHODS
  • 2011-10. Whole-genome sequencing of multiple Arabidopsis thaliana populations in NATURE GENETICS
  • 2002-04. Patterns of linkage disequilibrium in the human genome in NATURE REVIEWS GENETICS
  • 2016-07. Recent demography drives changes in linked selection across the maize genome in NATURE PLANTS
  • 2011-01. Integrative genomics viewer in NATURE BIOTECHNOLOGY
  • 2015-05. Genetic characterization and barcoding of taxa in the genera Landoltia and Spirodela (Lemnaceae) by three plastidic markers and amplified fragment length polymorphism (AFLP) in HYDROBIOLOGIA
  • 2016-12-01. UVR2 ensures transgenerational genome stability under simulated natural UV-B in Arabidopsis thaliana in NATURE COMMUNICATIONS
  • 2014-07. Climate change selects for heterozygosity in a declining fur seal population in NATURE
  • 2014-12. Protocol: a simple method for extracting next-generation sequencing quality genomic DNA from recalcitrant plant species in PLANT METHODS
  • 2015-01. Species distribution, genetic diversity and barcoding in the duckweed family (Lemnaceae) in HYDROBIOLOGIA
  • 2013-04. Genomic signatures of selection at linked sites: unifying the disparity among species in NATURE REVIEWS GENETICS
  • 2011-05. A framework for variation discovery and genotyping using next-generation DNA sequencing data in NATURE GENETICS
  • Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1038/s41467-019-09235-5

    DOI

    http://dx.doi.org/10.1038/s41467-019-09235-5

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1112854693

    PUBMED

    https://www.ncbi.nlm.nih.gov/pubmed/30886148


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