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. 2017 Jun 30:6:e23907.
doi: 10.7554/eLife.23907.

Moderate nucleotide diversity in the Atlantic herring is associated with a low mutation rate

Affiliations

Moderate nucleotide diversity in the Atlantic herring is associated with a low mutation rate

Chungang Feng et al. Elife. .

Abstract

The Atlantic herring is one of the most abundant vertebrates on earth but its nucleotide diversity is moderate (π = 0.3%), only three-fold higher than in human. Here, we present a pedigree-based estimation of the mutation rate in this species. Based on whole-genome sequencing of four parents and 12 offspring, the estimated mutation rate is 2.0 × 10-9 per base per generation. We observed a high degree of parental mosaicism indicating that a large fraction of these de novo mutations occurred during early germ cell development. The estimated mutation rate - the lowest among vertebrates analyzed to date - partially explains the discrepancy between the rather low nucleotide diversity in herring and its huge census population size. But a species like the herring will never reach its expected nucleotide diversity because of fluctuations in population size over the millions of years it takes to build up high nucleotide diversity.

Keywords: evolution; evolutionary biology; genomics; mutation; nucleotide diversity.

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Conflict of interest statement

The authors declare that no competing interests exist.

Figures

Figure 1.
Figure 1.. Flowchart describing the de novo mutation-calling pipeline.
A schematic illustration of the steps used in calling and filtering the candidate mutations. DOI: http://dx.doi.org/10.7554/eLife.23907.004
Figure 1—figure supplement 1.
Figure 1—figure supplement 1.. Sanger sequencing chromatograms of the de novo mutations.
Chromatograms from the identified target offspring and its parents for each region containing a candidate de novo mutation. DOI: http://dx.doi.org/10.7554/eLife.23907.005

References

    1. Arula T, Ojaveer H, Shpilev H. Individual fecundity of the autumn spawning baltic herring Clupea harengus membras L. Estonian Journal of Ecology. 2012;61:119. doi: 10.3176/eco.2012.2.04. - DOI
    1. Carneiro M, Rubin CJ, Di Palma F, Albert FW, Alföldi J, Barrio AM, Pielberg G, Rafati N, Sayyab S, Turner-Maier J, Younis S, Afonso S, Aken B, Alves JM, Barrell D, Bolet G, Boucher S, Burbano HA, Campos R, Chang JL, Duranthon V, Fontanesi L, Garreau H, Heiman D, Johnson J, Mage RG, Peng Z, Queney G, Rogel-Gaillard C, Ruffier M, Searle S, Villafuerte R, Xiong A, Young S, Forsberg-Nilsson K, Good JM, Lander ES, Ferrand N, Lindblad-Toh K, Andersson L. Rabbit genome analysis reveals a polygenic basis for phenotypic change during domestication. Science. 2014;345:1074–1079. doi: 10.1126/science.1253714. - DOI - PMC - PubMed
    1. Crow JF. The origins, patterns and implications of human spontaneous mutation. Nature Reviews Genetics. 2000;1:40–47. doi: 10.1038/35049558. - DOI - PubMed
    1. Daetwyler HD, Capitan A, Pausch H, Stothard P, van Binsbergen R, Brøndum RF, Liao X, Djari A, Rodriguez SC, Grohs C, Esquerré D, Bouchez O, Rossignol MN, Klopp C, Rocha D, Fritz S, Eggen A, Bowman PJ, Coote D, Chamberlain AJ, Anderson C, VanTassell CP, Hulsegge I, Goddard ME, Guldbrandtsen B, Lund MS, Veerkamp RF, Boichard DA, Fries R, Hayes BJ. Whole-genome sequencing of 234 bulls facilitates mapping of monogenic and complex traits in cattle. Nature Genetics. 2014;46:858–865. doi: 10.1038/ng.3034. - DOI - PubMed
    1. Danecek P, Auton A, Abecasis G, Albers CA, Banks E, DePristo MA, Handsaker RE, Lunter G, Marth GT, Sherry ST, McVean G, Durbin R, 1000 Genomes Project Analysis Group The variant call format and VCFtools. Bioinformatics. 2011;27:2156–2158. doi: 10.1093/bioinformatics/btr330. - DOI - PMC - PubMed

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