Literature DB >> 32869739

Intra-species differences in population size shape life history and genome evolution.

David Willemsen1, Rongfeng Cui1, Martin Reichard2,3, Dario Riccardo Valenzano1,4.   

Abstract

The evolutionary forces shaping life history divergence within species are largely unknown. Turquoise killifish display differences in lifespan among wild populations, representing an ideal natural experiment in evolution and diversification of life history. By combining genome sequencing and population genetics, we investigate the evolutionary forces shaping lifespan among wild turquoise killifish populations. We generate an improved reference genome assembly and identify genes under positive and purifying selection, as well as those evolving neutrally. Short-lived populations from the outer margin of the species range have small population size and accumulate deleterious mutations in genes significantly enriched in the WNT signaling pathway, neurodegeneration, cancer and the mTOR pathway. We propose that limited population size due to habitat fragmentation and repeated population bottlenecks, by increasing the genome-wide mutation load, exacerbates the effects of mutation accumulation and cumulatively contribute to the short adult lifespan.
© 2020, Willemsen et al.

Entities:  

Keywords:  aging; evolution; evolutionary biology; genetics; genomics; lifespan; nothobranchius furzeri; turquoise killifish

Mesh:

Year:  2020        PMID: 32869739      PMCID: PMC7462614          DOI: 10.7554/eLife.55794

Source DB:  PubMed          Journal:  Elife        ISSN: 2050-084X            Impact factor:   8.140


  86 in total

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4.  Mathematical model for studying genetic variation in terms of restriction endonucleases.

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5.  High tandem repeat content in the genome of the short-lived annual fish Nothobranchius furzeri: a new vertebrate model for aging research.

Authors:  Kathrin Reichwald; Chris Lauber; Indrajit Nanda; Jeanette Kirschner; Nils Hartmann; Susanne Schories; Ulrike Gausmann; Stefan Taudien; Markus B Schilhabel; Karol Szafranski; Gernot Glöckner; Michael Schmid; Alessandro Cellerino; Manfred Schartl; Christoph Englert; Matthias Platzer
Journal:  Genome Biol       Date:  2009-02-11       Impact factor: 13.583

6.  Rapid and inexpensive whole-genome genotyping-by-sequencing for crossover localization and fine-scale genetic mapping.

Authors:  Beth A Rowan; Vipul Patel; Detlef Weigel; Korbinian Schneeberger
Journal:  G3 (Bethesda)       Date:  2015-01-13       Impact factor: 3.154

7.  Metassembler: merging and optimizing de novo genome assemblies.

Authors:  Alejandro Hernandez Wences; Michael C Schatz
Journal:  Genome Biol       Date:  2015-09-24       Impact factor: 13.583

8.  HALC: High throughput algorithm for long read error correction.

Authors:  Ergude Bao; Lingxiao Lan
Journal:  BMC Bioinformatics       Date:  2017-04-05       Impact factor: 3.169

9.  The Effect of Balancing Selection on Population Differentiation: A Study with HLA Genes.

Authors:  Débora Y C Brandt; Jônatas César; Jérôme Goudet; Diogo Meyer
Journal:  G3 (Bethesda)       Date:  2018-07-31       Impact factor: 3.154

10.  Fast and accurate long-read alignment with Burrows-Wheeler transform.

Authors:  Heng Li; Richard Durbin
Journal:  Bioinformatics       Date:  2010-01-15       Impact factor: 6.937

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Journal:  Chromosome Res       Date:  2022-10-08       Impact factor: 4.620

Review 2.  Genetic load: genomic estimates and applications in non-model animals.

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3.  Eusociality in snapping shrimps is associated with larger genomes and an accumulation of transposable elements.

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Journal:  Proc Natl Acad Sci U S A       Date:  2021-06-15       Impact factor: 11.205

Review 4.  Alternative Animal Models of Aging Research.

Authors:  Susanne Holtze; Ekaterina Gorshkova; Stan Braude; Alessandro Cellerino; Philip Dammann; Thomas B Hildebrandt; Andreas Hoeflich; Steve Hoffmann; Philipp Koch; Eva Terzibasi Tozzini; Maxim Skulachev; Vladimir P Skulachev; Arne Sahm
Journal:  Front Mol Biosci       Date:  2021-05-17

5.  Deleterious mutations show increasing negative effects with age in Drosophila melanogaster.

Authors:  Martin I Brengdahl; Christopher M Kimber; Phoebe Elias; Josephine Thompson; Urban Friberg
Journal:  BMC Biol       Date:  2020-09-30       Impact factor: 7.431

  5 in total

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