DSSDI 理論框架(Domain-Specific Stochastic–Deterministic Integration)
DSSDI(領域特異的隨機–決定性整合)是一個針對微生物群落組裝與功能穩定性所提出的理論框架,其核心在於突破傳統將微生物視為功能等價單位的假設,轉而強調不同微生物域之間在生態機制上的本質差異。在 DSSDI 架構下,微生物群落的組裝被視為一個具「領域解析度」且「情境依賴」的過程。不同微生物域因其代謝能力、演化歷史與擴散潛力的差異,對隨機性與決定性作用的敏感度並不相同,導致其在不同環境條件下呈現不對稱的組裝動態。
進一步地,群落結構並非由單一機制決定,而是由空間結構、時間變動與環境梯度共同塑造。這些因素在多尺度上交互作用,使群落組裝呈現高度異質性與動態性。在此基礎上,DSSDI 強調跨域交互作用在群落組織中的關鍵角色。細菌與古菌之間透過代謝互補與共營作用,形成穩定的模組化網絡結構。這種跨域模組不僅提升網絡的結構穩定性,也強化系統在環境擾動下維持功能的能力。因此,DSSDI 提出一項關鍵轉向:微生物生態功能的穩定性並非主要來自單一域內的功能冗餘,而是來自不同微生物域之間的功能互補與協同作用。即使群落組成發生顯著變動,跨域模組仍能維持核心代謝功能,重新定義了傳統對功能冗餘的理解。
DSSDI Framework:
DSSDI Framework (Domain-Specific Stochastic–Deterministic Integration)
The Domain-Specific Stochastic–Deterministic Integration (DSSDI) framework provides a conceptual model for understanding microbial community assembly and functional stability beyond traditional assumptions of functional equivalence among taxa. Within DSSDI, community assembly is conceptualized as a domain-resolved and context-dependent process. Microbial domains differ fundamentally in their metabolic capabilities, evolutionary histories, and dispersal potentials. As a consequence, stochastic and deterministic forces act asymmetrically across domains, leading to distinct assembly trajectories under varying environmental conditions.
Community structure, in this framework, emerges from the joint influence of spatial configuration, temporal variation, and environmental gradients. These drivers operate across multiple scales and interact to produce inherently heterogeneous and dynamic assembly patterns. A central feature of DSSDI is the role of cross-domain interactions. Bacteria and archaea form metabolically complementary modules through syntrophic and cooperative interactions, giving rise to modular ecological networks. These modules enhance structural stability and enable microbial communities to maintain functionality under environmental perturbations. Accordingly, DSSDI redefines the origin of ecological functional stability. Rather than arising primarily from within-domain functional redundancy, stability emerges from cross-domain complementarity and integration. Even under substantial taxonomic turnover, these cross-domain modules sustain core metabolic functions, offering a revised perspective on microbial ecosystem resilience.
APOLLO I (2022-2025):Dynamics of Intertidal Microbial Communities: Investigating the Influence of Neutral Stochasticity and Environmental Drivers on Bacterial and Archaeal Succession