Homoeologous crossovers are distally biased and underlie genomic instability in first-generation neo-allopolyploid Arabidopsis suecica

2Citations
Citations of this article
16Readers
Mendeley users who have this article in their library.

This article is free to access.

Abstract

First-generation polyploids often suffer from more meiotic errors and lower fertility than established wild polyploid populations. One such example is the allopolyploid model species Arabidopsis suecica which originated c. 16 000 generations ago. We present here a comparison of meiosis and its outcomes in naturally evolved and first-generation ‘synthetic’ A. suecica using a combination of cytological and genomic approaches. We show that while meiosis in natural lines is largely diploid-like, synthetic lines have high levels of meiotic errors including incomplete synapsis and nonhomologous crossover formation. Whole-genome re-sequencing of progeny revealed 20-fold higher levels of homoeologous exchange and eightfold higher aneuploidy originating from synthetic parents. Homoeologous exchanges showed a strong distal bias and occurred predominantly in genes, regularly generating novel protein variants. We also observed that homoeologous exchanges can generate megabase scale INDELs when occurring in regions of inverted synteny. Finally, we observed evidence of sex-specific differences in adaptation to polyploidy with higher success in reciprocal crosses to natural lines when synthetic plants were used as the female parent. Our results directly link cytological phenotypes in A. suecica with their genomic outcomes, demonstrating that homoeologous crossovers underlie genomic instability in neo-allopolyploids and are more distally biased than homologous crossovers.

Cite

CITATION STYLE

APA

Nibau, C., Evans, A., King, H., Phillips, D. W., & Lloyd, A. (2024). Homoeologous crossovers are distally biased and underlie genomic instability in first-generation neo-allopolyploid Arabidopsis suecica. New Phytologist, 244(4), 1315–1327. https://doi.org/10.1111/nph.20095

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free