Literature DB >> 19548838

Mutation accumulation in real branches: fitness assays for genomic deleterious mutation rate and effect in large-statured plants.

Stewart T Schultz1, Douglas G Scofield.   

Abstract

The genomic deleterious mutation rate and mean effect are central to the biology and evolution of all species. Large-statured plants, such as trees, are predicted to have high mutation rates due to mitotic mutation and the absence of a sheltered germ line, but their size and generation time has hindered genetic study. We develop and test approaches for estimating deleterious mutation rates and effects from viability comparisons within the canopy of large-statured plants. Our methods, inspired by E. J. Klekowski, are a modification of the classic Bateman-Mukai mutation-accumulation experiment. Within a canopy, cell lineages accumulate mitotic mutations independently. Gametes or zygotes produced at more distal points by these cell lineages contain more mitotic mutations than those at basal locations, and within-flower selfs contain more homozygous mutations than between-flower selfs. The resulting viability differences allow demonstration of lethal mutation with experiments similar in size to assays of genetic load and allow estimates of the rate and effect of new mutations with moderate precision and bias similar to that of classic mutation-accumulation experiments in small-statured organisms. These methods open up new possibilities with the potential to provide valuable new insights into the evolutionary genetics of plants.

Mesh:

Year:  2009        PMID: 19548838     DOI: 10.1086/600100

Source DB:  PubMed          Journal:  Am Nat        ISSN: 0003-0147            Impact factor:   3.926


  10 in total

1.  A definitive demonstration of fitness effects due to somatic mutation in a plant.

Authors:  D G Scofield
Journal:  Heredity (Edinb)       Date:  2013-11-06       Impact factor: 3.821

2.  Somatic genetic drift and multilevel selection in a clonal seagrass.

Authors:  Lei Yu; Christoffer Boström; Sören Franzenburg; Till Bayer; Tal Dagan; Thorsten B H Reusch
Journal:  Nat Ecol Evol       Date:  2020-05-11       Impact factor: 15.460

3.  Influences of clonality on plant sexual reproduction.

Authors:  Spencer C H Barrett
Journal:  Proc Natl Acad Sci U S A       Date:  2015-07-20       Impact factor: 11.205

4.  Population-level consequences of inheritable somatic mutations and the evolution of mutation rates in plants.

Authors:  Thomas Lesaffre
Journal:  Proc Biol Sci       Date:  2021-09-08       Impact factor: 5.530

5.  Molecular evolutionary rates predict both extinction and speciation in temperate angiosperm lineages.

Authors:  Lesley T Lancaster
Journal:  BMC Evol Biol       Date:  2010-06-01       Impact factor: 3.260

6.  Somatic deleterious mutation rate in a woody plant: estimation from phenotypic data.

Authors:  K Bobiwash; S T Schultz; D J Schoen
Journal:  Heredity (Edinb)       Date:  2013-06-19       Impact factor: 3.821

7.  Contrasting Rates of Molecular Evolution and Patterns of Selection among Gymnosperms and Flowering Plants.

Authors:  Amanda R De La Torre; Zhen Li; Yves Van de Peer; Pär K Ingvarsson
Journal:  Mol Biol Evol       Date:  2017-06-01       Impact factor: 16.240

8.  A little bit of sex prevents mutation accumulation even in apomictic polyploid plants.

Authors:  Ladislav Hodač; Simone Klatt; Diego Hojsgaard; Timothy F Sharbel; Elvira Hörandl
Journal:  BMC Evol Biol       Date:  2019-08-14       Impact factor: 3.260

9.  Fitness effects of spontaneous mutations in a warming world.

Authors:  Elizabeth S Davenport; Trenton C Agrelius; Krista B Harmon; Jeffry L Dudycha
Journal:  Evolution       Date:  2021-03-24       Impact factor: 3.694

10.  A phylogenomic approach reveals a low somatic mutation rate in a long-lived plant.

Authors:  Adam J Orr; Amanda Padovan; David Kainer; Carsten Külheim; Lindell Bromham; Carlos Bustos-Segura; William Foley; Tonya Haff; Ji-Fan Hsieh; Alejandro Morales-Suarez; Reed A Cartwright; Robert Lanfear
Journal:  Proc Biol Sci       Date:  2020-03-11       Impact factor: 5.349

  10 in total

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