Doloman Anna, Seefeldt Lance C
Department of Chemistry and Biochemistry, Utah State University, Logan, UT, United States.
Front Microbiol. 2020 Sep 3;11:540378. doi: 10.3389/fmicb.2020.540378. eCollection 2020.
Distribution of energy during the growth and formation of useful chemicals by microorganisms can define the overall performance of a biotechnological system. However, to date, this distribution has not been used to reliably predict growth characteristics of phototrophic microorganisms. The presented research addresses this application by estimating the photon-associated Gibbs energy delivered for the photoheterotrophic growth of purple non-sulfur bacteria and production of dihydrogen. The approach is successfully evaluated with the data from a fed-batch growth of nifA fixing N gas in phototrophic conditions and a reliable prediction of growth characteristics is demonstrated. Additionally, literature-available experimental data is collected and used for evaluation of the presented thermodynamic approach to predict photoheterotrophic growth yields. A proposed thermodynamic framework with modification to account for the phototrophic growth can be used to predict growth rates in broader environmental niches and to assess the possibility for the development of novel biotechnological applications in light-induced biological systems.
微生物在生长和形成有用化学物质过程中的能量分布能够定义生物技术系统的整体性能。然而，迄今为止，这种能量分布尚未被用于可靠地预测光合微生物的生长特性。本研究通过估算为紫色非硫细菌的光异养生长和氢气产生所传递的与光子相关的吉布斯能量来解决这一应用问题。该方法通过光养条件下固定氮气的nifA分批补料培养数据成功进行了评估，并证明了对生长特性的可靠预测。此外，收集了文献中可用的实验数据，并用于评估所提出的预测光异养生长产量的热力学方法。一个经过修改以考虑光养生长的拟议热力学框架可用于预测更广泛环境生态位中的生长速率，并评估在光诱导生物系统中开发新型生物技术应用的可能性。
