Scaffolded and annotated nuclear and organelle genomes of the North American brown alga Saccharina latissima

作者：Kelly DeWeese, Gary Molano, Sara Calhoun, Anna Lipzen, Jerry B. Jenkins, Melissa Williams, Christopher Plott, Jayson Talag, Jane Grimwood, Jean‐Luc Jannink, Igor V. Grigoriev, Jeremy Schmutz, Charles Yarish, Sergey V. Nuzhdin, Scott Lindell · 发表于：Frontiers in Genetics · 年份：2025 · DOI：10.3389/fgene.2025.1494480 · 被引用次数：8 · 研究领域：Marine and coastal plant biology、Algal biology and biofuel production、Marine Bivalve and Aquaculture Studies

Increasing the genomic resources of emerging aquaculture crop targets can expedite breeding processes as seen in molecular breeding advances in agriculture. High quality annotated reference genomes are essential to implement this relatively new molecular breeding scheme and benefit research areas such as population genetics, gene discovery, and gene mechanics by providing a tool for standard comparison. The brown macroalga Saccharina latissima (sugar kelp) is an ecologically and economically important kelp that is found in both the northern Pacific and Atlantic Oceans. Cultivation of Saccharina latissima for human consumption has increased significantly this century in both North America and Europe, and its single blade morphology allows for dense seeding practices used in the cultivation of its Asian sister species, Saccharina japonica . While Saccharina latissima has potential as a human food crop, insufficient information from genetic resources has limited molecular breeding in sugar kelp aquaculture. We present scaffolded and annotated Saccharina latissima nuclear and organelle genomes from a female gametophyte collected from Black Ledge, Groton, Connecticut. This Saccharina latissima genome compares well with other published kelp genomes and contains 218 scaffolds with a scaffold N50 of 1.35 Mb, a GC content of 49.84%, and 25,012 predicted genes. We also validated this genome by comparing the synteny and completeness of this Saccharina latissima genome to other kelp geno...