Engineering Research Center of Tropical Medicine Innovation and Transformation, Ministry of Education, International Joint Research Center of Human-machine Intelligent Collaborative for Tumor Precision Diagnosis and Treatment of Hainan Province, School of Pharmacy, Hainan Medical University, Haikou, China.
Department of Pharmacy, 928th Hospital of PLA Joint Logistics Support Force, Haikou, China.
Sci Rep. 2024 Apr 1;14(1):7684. doi: 10.1038/s41598-024-58402-2.
Peptide toxins found in sea anemones venom have diverse properties that make them important research subjects in the fields of pharmacology, neuroscience and biotechnology. This study used high-throughput sequencing technology to systematically analyze the venom components of the tentacles, column, and mesenterial filaments of sea anemone Heteractis crispa, revealing the diversity and complexity of sea anemone toxins in different tissues. A total of 1049 transcripts were identified and categorized into 60 families, of which 91.0% were proteins and 9.0% were peptides. Of those 1049 transcripts, 416, 291, and 307 putative proteins and peptide precursors were identified from tentacles, column, and mesenterial filaments respectively, while 428 were identified when the datasets were combined. Of these putative toxin sequences, 42 were detected in all three tissues, including 33 proteins and 9 peptides, with the majority of peptides being ShKT domain, β-defensin, and Kunitz-type. In addition, this study applied bioinformatics approaches to predict the family classification, 3D structures, and functional annotation of these representative peptides, as well as the evolutionary relationships between peptides, laying the foundation for the next step of peptide pharmacological activity research.
在海葵毒液中发现的肽毒素具有多种特性,使其成为药理学、神经科学和生物技术领域的重要研究课题。本研究使用高通量测序技术系统分析了海葵 Heteractis crispa 触须、柱和系膜丝的毒液成分,揭示了不同组织中海葵毒素的多样性和复杂性。共鉴定出 1049 个转录本,并将其分为 60 个家族,其中 91.0%为蛋白质,9.0%为肽。在这 1049 个转录本中,分别从触须、柱和系膜丝中鉴定出 416、291 和 307 个假定的蛋白质和肽前体,而当将数据集合并时,共鉴定出 428 个。在这些假定的毒素序列中,有 42 个在所有三种组织中均有检测到,包括 33 个蛋白质和 9 个肽,其中大多数肽为 ShKT 结构域、β-防御素和 Kunitz 型。此外,本研究还应用生物信息学方法预测了这些代表性肽的家族分类、3D 结构和功能注释,以及肽之间的进化关系,为下一步的肽药理学活性研究奠定了基础。
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