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Dataset from The proteome landscape of the black soldier fly provides insights into protein function and microbial diversity

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NIAID Data Ecosystem2026-03-14 收录
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https://www.omicsdi.org/dataset/pride/PXD037977
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资源简介:
The larvae of black soldier fly (BSF) Hermetia illucens (Diptera: Stratiomyidae), has demonstrated ability in the efficient bioconversion of organic waste into a sustainable source of food and feed, but fundamental biology remains to be discovered to exploit their full biodegradative potential. Herein, LC-MS/MS was used to assess the efficiency of eight differing extraction protocols to build foundational knowledge regarding the proteome landscape of both BSF larvae body and gut. No specific protocol was superior in capturing the BSF body and gut proteome, but each yielded complementary information to improve BSF proteome coverage. Protocol-specific functional annotation using protein level information has shown that the selection of extraction buffer can affect protein detection and their associated functional classes within the measured BSF larval gut proteome. Metaproteome analysis on BSF larvae gut has uncovered the prevalence of two bacterial phyla: actinobacteria and proteobacteria. We envisage that comparing a range of extraction protocols and investigating the proteome from the BSF body and gut separately will expand the fundamental knowledge of the BSF proteome and thereby provide translational opportunities for future research to enhance their efficiency for waste degradation and contribution to the circular economy.

黑水虻(black soldier fly, BSF,学名Hermetia illucens,双翅目:水虻科)的幼虫已被证实可将有机废弃物高效生物转化为可持续的食用及饲用资源,但其完整的生物降解潜力尚未被充分发掘,相关基础生物学特性仍有待探明。本研究采用液相色谱-串联质谱(LC-MS/MS),对8种不同的蛋白质提取方案进行效率评估,旨在构建黑水虻幼虫整体及肠道的蛋白质组图谱基础数据。结果显示,尚无单一提取方案可最优覆盖黑水虻整体与肠道的蛋白质组,但各方案可提供互补信息,从而提升蛋白质组的覆盖广度。基于蛋白质水平信息的方案特异性功能注释结果表明,提取缓冲液的选择会影响黑水虻幼虫肠道蛋白质组的检测结果及其关联的功能类群。对黑水虻幼虫肠道的宏蛋白质组分析发现,肠道内优势细菌类群为放线菌门(actinobacteria)与变形菌门(proteobacteria)。我们认为,通过对比多种蛋白质提取方案并分别解析黑水虻整体及肠道的蛋白质组,可拓展对黑水虻蛋白质组的基础认知,进而为未来研究提供转化方向,以提升其废弃物降解效率并助力循环经济发展。
创建时间:
2023-03-11
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