关键词: Sargassum horneri genome golden tide next-generation sequencing

Mesh : Seaweed / genetics Sargassum / genetics metabolism Ecosystem Pacific Ocean

来  源:   DOI:10.3390/genes14101969   PDF(Pubmed)

Abstract:
Sargassum horneri, a prevalent species of brown algae found along the coast of the northwest Pacific Ocean, holds significant importance as a valuable source of bioactive compounds. However, its rapid growth can lead to the formation of a destructive \"golden tide\", causing severe damage to the local economy and coastal ecosystems. In this study, we carried out de novo whole-genome sequencing of S. horneri using next-generation sequencing to unravel the genetic information of this alga. By utilizing a reference-guided de novo assembly pipeline with a closely related species, we successfully established a final assembled genome with a total length of 385 Mb. Repetitive sequences made up approximately 30.6% of this genome. Among the identified putative genes, around 87.03% showed homology with entries in the NCBI non-redundant protein database, with Ectocarpus siliculosus being the most closely related species for approximately one-third of these genes. One gene encoding an alkaline phosphatase family protein was found to exhibit positive selection, which could give a clue for the formation of S. horneri golden tides. Additionally, we characterized putative genes involved in fucoidan biosynthesis metabolism, a significant pathway in S. horneri. This study represents the first genome-wide characterization of a S. horneri species, providing crucial insights for future investigations, such as ecological genomic analyses.
摘要:
Sargassumhorneri,在西北太平洋沿岸发现的一种普遍的褐藻,作为生物活性化合物的宝贵来源具有重要意义。然而,它的快速增长可能导致破坏性的“金潮”的形成,对当地经济和沿海生态系统造成严重破坏。在这项研究中,我们使用下一代测序技术对霍氏链球菌进行了从头全基因组测序,以揭示该藻类的遗传信息。通过利用具有密切相关物种的参考指导从头组装管道,我们成功地建立了一个最终组装的基因组,总长度为385Mb。重复序列约占该基因组的30.6%。在确定的推定基因中,约87.03%与NCBI非冗余蛋白数据库中的条目具有同源性,在这些基因中,大约有三分之一是最密切相关的物种。发现一个编码碱性磷酸酶家族蛋白的基因表现出阳性选择,这可以为霍纳里金潮的形成提供线索。此外,我们表征了与岩藻依聚糖生物合成代谢有关的推定基因,霍氏链球菌的一条重要途径。这项研究代表了S.horneri物种的第一个全基因组特征,为未来的调查提供关键的见解,比如生态基因组分析。
公众号