Abstract

Naturally occurring autopolyploid species, such as the autotetraploid potato Solanum tuberosum, face a variety of challenges during meiosis. These include proper pairing, recombination and correct segregation of multiple homologous chromosomes, which can form complex multivalent configurations at metaphase I, and in turn alter allelic segregation ratios through double reduction. Here, we present a reference map of meiotic stages in diploid and tetraploid S. tuberosum using fluorescence in situ hybridisation (FISH) to differentiate individual meiotic chromosomes 1 and 2. A diploid-like behaviour at metaphase I involving bivalent configurations was predominant in all three tetraploid varieties. The crossover frequency per bivalent was significantly reduced in the tetraploids compared with a diploid variety, which likely indicates meiotic adaptation to the autotetraploid state. Nevertheless, bivalents were accompanied by a substantial frequency of multivalents, which varied by variety and by chromosome (7–48%). We identified possible sites of synaptic partner switching, leading to multivalent formation, and found potential defects in the polymerisation and/or maintenance of the synaptonemal complex in tetraploids. These findings demonstrate the rise of S. tuberosum as a model for autotetraploid meiotic recombination research and highlight constraints on meiotic chromosome configurations and chiasma frequencies as an important feature of an evolved autotetraploid meiosis.

Details

Title
Varietal variation and chromosome behaviour during meiosis in Solanum tuberosum
Author
Choudhary Anushree 1 ; Wright, Liam 1 ; Ponce, Olga 1 ; Chen, Jing 1 ; Prashar Ankush 2 ; Sanchez-Moran, Eugenio 1 ; Luo Zewei 3 ; Compton, Lindsey 1 

 University of Birmingham, School of Biosciences, Birmingham, UK (GRID:grid.6572.6) (ISNI:0000 0004 1936 7486) 
 Newcastle University, School of Natural and Environmental Sciences, Newcastle upon Tyne, UK (GRID:grid.1006.7) (ISNI:0000 0001 0462 7212) 
 University of Birmingham, School of Biosciences, Birmingham, UK (GRID:grid.6572.6) (ISNI:0000 0004 1936 7486); Fudan University, Institute of Biostatistics, Shanghai, China (GRID:grid.8547.e) (ISNI:0000 0001 0125 2443) 
Pages
212-226
Publication year
2020
Publication date
Oct 2020
Publisher
Springer Nature B.V.
ISSN
0018067X
e-ISSN
13652540
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2442448406
Copyright
© The Author(s) 2020. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.