Insight into the genome data of commercially important giant kelp Macrocystis pyrifera
Sujay Paul,
Erika Salavarría,
Katherine García,
Alonso Reyes-Calderón,
Patricia Gil-Kodaka,
Ilanit Samolski,
Aashish Srivastava,
Anindya Bandyopadhyay,
Gretty K. Villena
Affiliations
Sujay Paul
Tecnologico de Monterrey, School of Engineering and Sciences, Campus Queretaro, Av. Epigmenio Gonzalez, No. 500 Fracc. San Pablo, Queretaro CP 76130, Mexico
Erika Salavarría
Facultad de Ciencias del Mar, Grupo de investigación ‘Bioeconomia Costera’, Universidad Estatal Península de Santa Elena, Km 1 Sta. Elena – La Libertad. Ecuador
Katherine García
Laboratorio de Micología y Biotecnología LMB, Universidad Nacional Agraria La Molina, Av. La Molina s/n, 12, Lima, Peru
Alonso Reyes-Calderón
Laboratorio de Micología y Biotecnología LMB, Universidad Nacional Agraria La Molina, Av. La Molina s/n, 12, Lima, Peru
Patricia Gil-Kodaka
Facultad de Pesquería, Universidad Nacional Agraria La Molina, Lima, Peru
Ilanit Samolski
Laboratorio de Micología y Biotecnología LMB, Universidad Nacional Agraria La Molina, Av. La Molina s/n, 12, Lima, Peru
Aashish Srivastava
Department of Clinical Science, University of Bergen, Bergen 5021, Norway
Anindya Bandyopadhyay
International Rice Research Institute, Manila 4031, Philippines; Reliance Industries Ltd., Navi Mumbai 400701, India
Gretty K. Villena
Laboratorio de Micología y Biotecnología LMB, Universidad Nacional Agraria La Molina, Av. La Molina s/n, 12, Lima, Peru; Corresponding author.
Kelps or brown algae are a wide group of marine macroalgae that play an important role in aquatic ecosystems and generally have high commercial value. To facilitate brown algal studies, we report the complete genome sequence of the largest kelp Macrocystis pyrifera. The whole genome is ∼428 Mb in size, comprises 44,307 scaffolds with an average GC content of 47%, and is predicted to contain a total of 24,778 genes. 18S sequence-based phylogenetic analysis revealed that littoral brown seaweed Scytosiphon lomentaria is the closest species of M. pyrifera. Numerous genes identified in this dataset are involved in genetic information processing, signaling, and cellular processes, carbohydrate metabolism, and terpenoids biosynthesis.
