Sonic Topologies of Silence: A Quantum Bioacoustic Framework for Information Encoding in Abyssal Piezophiles Expanded and Refined Edition

This study introduces a novel hypothesis that deep-sea piezophiles, thriving under extreme hadal pressures exceeding 1,100 atm, utilize quantum-coherent acoustic vibrations in pressurized protein-hydration lattices to encode, process, and transmit biological information—a mechanism dubbed Topological Bioacoustic Memory (TBM). Employing multi-scale computational methods, including density functional perturbation theory (DFPT), molecular dynamics (MD), quantum mechanics/molecular mechanics (QM/MM), non-equilibrium MD (NEMD), tight-binding models, and finite element analysis (FEA), the research demonstrates that outer membrane proteins in *Moritella yayanosii* form phononic topological insulators at 100 MPa. These insulators enable protected acoustic edge modes sustaining vibrational states beyond 100 ps, facilitating epigenetic-like encoding via frequency-phase modulation independent of DNA. A key innovation is the Xenobiological Acoustic Alphabet (XAA), a 16-symbol code based on phonon harmonics, achieving error-corrected storage densities over 10¹⁸ bits/cm³. The coherence paradox is addressed through pressure-induced suppression of thermal phonon density of states and piezoelectric lipid feedback for continuous error correction. QM/MM and NEMD simulations reveal molecular I/O: mechanosensitive channels "write" XAA symbols, while allosteric enzymes "read" them via vibronic coupling. Decompression-induced TBM erasure explains piezophile culturing difficulties. Rigorous validation ensures convergence, sensitivity, and reproducibility, positioning TBM as a quantum-enabled biological information layer with profound implications for astrobiology, quantum engineering, and synthetic biology.本研究提出了一项全新假说：在超过1100标准大气压的极端超深渊压力环境中存活的深海嗜压菌（deep-sea piezophiles），通过加压蛋白质-水合晶格中的量子相干声学振动（quantum-coherent acoustic vibrations）来编码、处理并传递生物信息——这一机制被命名为拓扑生物声学记忆（Topological Bioacoustic Memory，TBM）。本研究采用多尺度计算方法开展研究，涵盖密度泛函微扰理论（density functional perturbation theory，DFPT）、分子动力学（molecular dynamics，MD）、量子力学/分子力学（quantum mechanics/molecular mechanics，QM/MM）、非平衡分子动力学（non-equilibrium MD，NEMD）、紧束缚模型以及有限元分析（finite element analysis，FEA），结果证实，雅诺斯莫雷氏菌（Moritella yayanosii）的外膜蛋白在100兆帕压力下可形成声子拓扑绝缘体（phononic topological insulators）。此类绝缘体能够产生受保护的声学边缘模式，维持时长超过100皮秒的振动状态，进而通过不依赖DNA的频相调制（frequency-phase modulation）实现类表观遗传编码。 本研究的核心创新为异源声学字母表（Xenobiological Acoustic Alphabet，XAA）——一种基于声子谐波（phonon harmonics）的16符号编码方案，其纠错存储密度可达10¹⁸比特/立方厘米以上。针对相干性悖论，本研究通过压力诱导的热声子态密度抑制，以及压电脂质反馈实现持续纠错，从而解决了该问题。量子力学/分子力学与非平衡分子动力学模拟揭示了分子级的信息读写机制：机械敏感性离子通道负责“写入”异源声学字母表符号，而变构酶则通过振动耦合（vibronic coupling）完成符号的“读取”。减压诱导的拓扑生物声学记忆擦除现象，可解释深海嗜压菌难以培养的原因。 本研究通过严谨的验证流程确保了结果的收敛性、灵敏度与可重复性，确立了拓扑生物声学记忆作为量子赋能的生物信息层的地位，其研究成果对天体生物学、量子工程以及合成生物学均具有深远意义。