一项发表于 2012 年的研究通过理论计算分析了细胞在响应环境线索（如测定化学配体浓度）时进行计算的能源成本 [1]。该研究表明，根据 Landauer 原理，这种计算过程需要打破细致平衡并消耗能量 [1]。此外，学习精度越高，能耗越大 [1]。这一发现表明，能源成本可能是限制资源匮乏环境中生物网络（如细菌孢子萌发网络）设计的重要约束条件 [1]。
A study published in 2012 utilized theoretical calculations to analyze the energy costs associated with cellular computation when responding to environmental cues, such as measuring ligand concentrations [1]. According to Landauer's principle, these computational processes require breaking detailed balance and consuming energy [1]. The research confirmed that higher learning precision results in greater energy expenditure [1]. Consequently, this finding suggests that energetic constraints may be a significant limiting factor for the design of biological networks operating in resource-scarce environments, such as bacterial spore germination networks [1].