Polyploids of Brassicaceae: Genomic Insights and Assembly Strategies.

diversification glucosinolate polyploid sub-genome discrimination whole-genome duplication

Journal

Plants (Basel, Switzerland)
ISSN: 2223-7747
Titre abrégé: Plants (Basel)
Pays: Switzerland
ID NLM: 101596181

Informations de publication

Date de publication:
27 Jul 2024
Historique:
received: 08 07 2024
revised: 24 07 2024
accepted: 26 07 2024
medline: 10 8 2024
pubmed: 10 8 2024
entrez: 10 8 2024
Statut: epublish

Résumé

The Brassicaceae family is distinguished by its inclusion of high-value crops such as cabbage, broccoli, mustard, and wasabi, all noted for their glucosinolates. In this family, many polyploidy species are distributed and shaped by numerous whole-genome duplications, independent genome doublings, and hybridization events. The evolutionary trajectory of the family is marked by enhanced diversification and lineage splitting after paleo- and meso-polyploidization, with discernible remnants of whole-genome duplications within their genomes. The recent neopolyploidization events notably increased the proportion of polyploid species within the family. Although sequencing efforts for the Brassicaceae genome have been robust, accurately distinguishing sub-genomes remains a significant challenge, frequently complicating the assembly process. Assembly strategies include comparative analyses with ancestral species and examining k-mers, long terminal repeat retrotransposons, and pollen sequencing. This review comprehensively explores the unique genomic characteristics of the Brassicaceae family, with a particular emphasis on polyploidization events and the latest strategies for sequencing and assembly. This review will significantly improve our understanding of polyploidy in the Brassicaceae family and assist in future genome assembly methods.

Identifiants

pubmed: 39124204
pii: plants13152087
doi: 10.3390/plants13152087
pii:
doi:

Types de publication

Journal Article Review

Langues

eng

Subventions

Organisme : Korea Institute of Planning and Evaluation for Technology in Food, Agriculture, Forestry and Fisheries (IPET)
ID : (MAFRA, PJ#: RS-2022-IP322076)

Auteurs

Donghyun Jeon (D)

Department of Science in Smart Agriculture Systems, Chungnam National University, Daejeon 34134, Republic of Korea.

Changsoo Kim (C)

Department of Science in Smart Agriculture Systems, Chungnam National University, Daejeon 34134, Republic of Korea.
Department of Crop Science, Chungnam National University, Daejeon 34134, Republic of Korea.

Classifications MeSH