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The Genetic Basis of Toxin Biosynthesis in Dinoflagellates.
Verma, Arjun; Barua, Abanti; Ruvindy, Rendy; Savela, Henna; Ajani, Penelope A; Murray, Shauna A.
Afiliação
  • Verma A; Climate Change Cluster, University of Technology Sydney, Sydney 2007, Australia. Arjun.verma@uts.edu.au.
  • Barua A; Climate Change Cluster, University of Technology Sydney, Sydney 2007, Australia.
  • Ruvindy R; Department of Microbiology, Noakhali Science and Technology University, Chittagong 3814, Bangladesh.
  • Savela H; Climate Change Cluster, University of Technology Sydney, Sydney 2007, Australia.
  • Ajani PA; Finnish Environment Institute, Marine Research Centre, 00790 Helsinki, Finland.
  • Murray SA; Climate Change Cluster, University of Technology Sydney, Sydney 2007, Australia.
Microorganisms ; 7(8)2019 Jul 29.
Article em En | MEDLINE | ID: mdl-31362398
ABSTRACT
In marine ecosystems, dinoflagellates can become highly abundant and even dominant at times, despite their comparatively slow growth rates. One factor that may play a role in their ecological success is the production of complex secondary metabolite compounds that can have anti-predator, allelopathic, or other toxic effects on marine organisms, and also cause seafood poisoning in humans. Our knowledge about the genes involved in toxin biosynthesis in dinoflagellates is currently limited due to the complex genomic features of these organisms. Most recently, the sequencing of dinoflagellate transcriptomes has provided us with valuable insights into the biosynthesis of polyketide and alkaloid-based toxin molecules in dinoflagellate species. This review synthesizes the recent progress that has been made in understanding the evolution, biosynthetic pathways, and gene regulation in dinoflagellates with the aid of transcriptomic and other molecular genetic tools, and provides a pathway for future studies of dinoflagellates in this exciting omics era.
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Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2019 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2019 Tipo de documento: Article