Comparative sequence analysis of VRN1 alleles of Lolium perenne with the co-linear regions in barley, wheat, and rice.

Asp, Torben; Byrne, Stephen; Gundlach, Heidrun; Bruggmann, Rémy; Mayer, Klaus F X; Andersen, Jeppe R; Xu, Mingliang; Greve, Morten; Lenk, Ingo; Lübberstedt, Thomas (2011). Comparative sequence analysis of VRN1 alleles of Lolium perenne with the co-linear regions in barley, wheat, and rice. Molecular genetics and genomics : MGG, 286(5-6), pp. 433-447. Springer 10.1007/s00438-011-0654-8

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Vernalization, a period of low temperature to induce transition from vegetative to reproductive state, is an important environmental stimulus for many cool season grasses. A key gene in the vernalization pathway in grasses is the VRN1 gene. The objective of this study was to identify causative polymorphism(s) at the VRN1 locus in perennial ryegrass (Lolium perenne) for variation in vernalization requirement. Two allelic Bacterial Artificial Chromosome clones of the VRN1 locus from the two genotypes Veyo and Falster with contrasting vernalization requirements were identified, sequenced, and characterized. Analysis of the allelic sequences identified an 8.6-kb deletion in the first intron of the VRN1 gene in the Veyo genotype which has low vernalization requirement. This deletion was in a divergent recurrent selection experiment confirmed to be associated with genotypes with low vernalization requirement. The region surrounding the VRN1 locus in perennial ryegrass showed microcolinearity to the corresponding region on chromosome 3 in Oryza sativa with conserved gene order and orientation, while the micro-colinearity to the corresponding region in Triticum monococcum was less conserved. Our study indicates that the first intron of the VRN1 gene, and in particular the identified 8.6 kb region, is an important regulatory region for vernalization response in perennial ryegrass.

Item Type:

Journal Article (Original Article)

Division/Institute:

08 Faculty of Science > Department of Biology > Bioinformatics and Computational Biology > Bioinformatics
08 Faculty of Science > Department of Biology > Bioinformatics and Computational Biology > Computational Biology
08 Faculty of Science > Department of Biology > Bioinformatics and Computational Biology

UniBE Contributor:

Bruggmann, Rémy

ISSN:

1617-4615

Publisher:

Springer

Language:

English

Submitter:

Kurt Wyler

Date Deposited:

25 Jun 2018 15:29

Last Modified:

04 May 2023 13:59

Publisher DOI:

10.1007/s00438-011-0654-8

PubMed ID:

22081040

BORIS DOI:

10.7892/boris.98186

URI:

https://boris.unibe.ch/id/eprint/98186

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