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Short interspersed elements (SINEs) in plants: origin, classification, and use as phylogenetic markers
Jean-Marc Deragon1, Xiaoyu Zhang
1CNRS UMR6547, GDR2157 Biomove, Université Blaise Pascal, 24 Avenue des Landais, 63177, Aubière, France. j-marc.deragon@univ-bpclermont.fr
Short interspersed elements (SINEs) are mobile genetic sequences used for plant species classification. This study classifies Brassicaceae SINEs, revealing new families and evolutionary insights for improved phylogenetic analysis.
Area of Science:
- Genetics
- Molecular Biology
- Evolutionary Biology
Background:
- Short interspersed elements (SINEs) are mobile genetic sequences amplified via retroposition.
- SINE presence/absence is a criterion for phylogenetic classification of species.
- Plant SINE characterization is crucial for understanding evolutionary relationships.
Purpose of the Study:
- To characterize plant SINEs and their utility as molecular markers in Oryza and Brassica species.
- To address limitations in Brassicaceae SINE classification and knowledge of their origin and evolution.
- To propose a new classification for Brassicaceae SINEs and analyze their evolutionary history.
Main Methods:
- Phylogenetic analysis of all known Brassicaceae SINEs.
- Evaluation of relative age and size for each Brassicaceae SINE family.
- Comparative analysis of SINE evolution in Arabidopsis thaliana and Brassica oleracea.
Main Results:
- A new classification of Brassicaceae SINEs into 15 distinct families is proposed.
- Phylogenetically supported subfamilies were identified, with evaluated relative age and size.
- Evidence suggests recent SINE emergence in Brassica oleracea from shuffled SINE portions.
- SINEs were generally more active in the Brassica lineage compared to Arabidopsis.
Conclusions:
- The proposed SINE classification and evolutionary insights enhance their use as molecular markers in Brassicaceae.
- New SINE families and subfamilies provide a refined framework for phylogenetic studies.
- Understanding SINE evolution in Brassica offers valuable data for future molecular marker applications.
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