» Articles » PMID: 23348752

Role of Adaptive and Non-adaptive Mechanisms Forming Complex Patterns of Genome Size Variation in Six Cytotypes of Polyploid Allium Oleraceum (Amaryllidaceae) on a Continental Scale

Overview
Journal Ann Bot
Specialty Biology
Date 2013 Jan 26
PMID 23348752
Citations 16
Authors
Affiliations
Soon will be listed here.
Abstract

Background And Aims: Although the large variation in genome size among different species is widely acknowledged, the occurrence and extent of variation below the species level are still controversial and have not yet been satisfactorily analysed. The aim of this study was to assess genome size variation in six ploidy levels (2n = 3x-8x) of the polyploid Allium oleraceum over a large geographical gradient and to search for potential interpretations of the size variation.

Methods: The genome sizes of 407 individuals of A. oleraceum collected from 114 populations across Europe were determined by flow cytometry using propidium iodide staining. The genome size variation was correlated with spatial, climatic and habitat variables.

Key Results: The mean holoploid genome size (2C DNA) was 42·49, 52·14, 63·34, 71·94, 85·51 and 92·12 pg at the tri-, tetra-, penta-, hexa-, hepta- and octoploid levels, respectively. Genome size varied from a minimum of 2·3 % in the octoploids to a maximum of 18·3 % in the tetraploids. Spatial structuring of genome size was observed within the tetra- and pentaploids, where 2C DNA significantly increased with both latitude and longitude, and correlated with several climatic variables, suggesting a gradient of continentality. Genome size in hexaploids showed low variation, weak correlation with climatic variables and no spatial structuring. Downsizing in monoploid genome size was observed between all cytotypes except for heptaploids. Splitting populations into western and eastern European groups resulted in strong differences in monoploid genome size between groups in tetra- and pentaploids but not in hexaploids. The monoploid genome sizes of the cytotypes were similar in the western group but diverged in the eastern group.

Conclusions: Complex patterns of holoploid and monoploid genome size variation found both within and between A. oleraceum cytotypes are most likely the result of several interacting factors, including different evolutionary origins of cytotypes via hybridization of parental combinations with different genome sizes in the south-western and south-eastern part of Europe, introgression between cytotypes, and antropic dispersal. The role of broad-scale and fine-scale environmental variables in shaping genome size is probably of minor importance in A. oleraceum.

Citing Articles

Association of polyploidy with seed mass/germination in angiosperms: a review.

Baskin J, Baskin C Planta. 2024; 261(1):21.

PMID: 39731591 DOI: 10.1007/s00425-024-04586-w.


New estimates and synthesis of chromosome numbers, ploidy levels and genome size variation in Allium sect. Codonoprasum: advancing our understanding of the unresolved diversification and evolution of this section.

Kobrlova L, Jandova M, Vojtechova K, Safarova L, Duchoslav M Bot Stud. 2024; 65(1):40.

PMID: 39718713 PMC: 11668721. DOI: 10.1186/s40529-024-00446-8.


Chromosome-level genomes of three key Allium crops and their trait evolution.

Hao F, Liu X, Zhou B, Tian Z, Zhou L, Zong H Nat Genet. 2023; 55(11):1976-1986.

PMID: 37932434 DOI: 10.1038/s41588-023-01546-0.


Diploid and tetraploid cytotypes of the flagship Cape species Dicerothamnus rhinocerotis (Asteraceae): variation in distribution, ecological niche, morphology and genetics.

Chumova Z, Monier Z, Semberova K, Havlickova E, Euston-Brown D, Muasya A Ann Bot. 2023; 133(5-6):851-870.

PMID: 37410810 PMC: 11082512. DOI: 10.1093/aob/mcad084.


Genome size variation and polyploidy prevalence in the genus are associated with the global dispersal in arid area.

Hutang G, Tong Y, Zhu X, Gao L Front Plant Sci. 2023; 14:1066925.

PMID: 36993864 PMC: 10040770. DOI: 10.3389/fpls.2023.1066925.


References
1.
Schneeweiss G, Palomeque T, Colwell A, Weiss-Schneeweiss H . Chromosome numbers and karyotype evolution in holoparasitic Orobanche (Orobanchaceae) and related genera. Am J Bot. 2011; 91(3):439-48. DOI: 10.3732/ajb.91.3.439. View

2.
Greilhuber J, Borsch T, Muller K, Worberg A, Porembski S, Barthlott W . Smallest angiosperm genomes found in lentibulariaceae, with chromosomes of bacterial size. Plant Biol (Stuttg). 2007; 8(6):770-7. DOI: 10.1055/s-2006-924101. View

3.
Benor S, Fuchs J, Blattner F . Genome size variation in Corchorus olitorius (Malvaceae s.l.) and its correlation with elevation and phenotypic traits. Genome. 2011; 54(7):575-85. DOI: 10.1139/g11-021. View

4.
Peres-Neto P, Jackson D . How well do multivariate data sets match? The advantages of a Procrustean superimposition approach over the Mantel test. Oecologia. 2017; 129(2):169-178. DOI: 10.1007/s004420100720. View

5.
Ekrt L, Holubova R, Travnicek P, Suda J . Species boundaries and frequency of hybridization in the Dryopteris carthusiana (Dryopteridaceae) complex: A taxonomic puzzle resolved using genome size data. Am J Bot. 2011; 97(7):1208-19. DOI: 10.3732/ajb.0900206. View