Hassan Junaid, Qu Zhi, Bergaust Linda L, Bakken Lars R
Department of Environmental Sciences, Norwegian University of Life Sciences, Ås, Norway.
Chemistry, Biotechnology and Food Science, Norwegian University of Life Sciences, Ås, Norway.
PLoS Comput Biol. 2016 Jan 5;12(1):e1004621. doi: 10.1371/journal.pcbi.1004621. eCollection 2016 Jan.
Denitrifying bacteria accumulate [Formula: see text], NO, and N2O, the amounts depending on transcriptional regulation of core denitrification genes in response to O2-limiting conditions. The genes include nar, nir, nor and nosZ, encoding [Formula: see text]-, [Formula: see text]-, NO- and N2O reductase, respectively. We previously constructed a dynamic model to simulate growth and respiration in batch cultures of Paracoccus denitrificans. The observed denitrification kinetics were adequately simulated by assuming a stochastic initiation of nir-transcription in each cell with an extremely low probability (0.5% h-1), leading to product- and substrate-induced transcription of nir and nor, respectively, via NO. Thus, the model predicted cell diversification: after O2 depletion, only a small fraction was able to grow by reducing [Formula: see text]. Here we have extended the model to simulate batch cultivation with [Formula: see text], i.e., [Formula: see text], NO, N2O, and N2 kinetics, measured in a novel experiment including frequent measurements of [Formula: see text]. Pa. denitrificans reduced practically all [Formula: see text] to [Formula: see text] before initiating gas production. The [Formula: see text] production is adequately simulated by assuming stochastic nar-transcription, as that for nirS, but with a higher probability (0.035 h-1) and initiating at a higher O2 concentration. Our model assumes that all cells express nosZ, thus predicting that a majority of cells have only N2O-reductase (A), while a minority (B) has [Formula: see text]-, NO- and N2O-reductase. Population B has a higher cell-specific respiration rate than A because the latter can only use N2O produced by B. Thus, the ratio [Formula: see text] is low immediately after O2 depletion, but increases throughout the anoxic phase because B grows faster than A. As a result, the model predicts initially low but gradually increasing N2O concentration throughout the anoxic phase, as observed. The modelled cell diversification neatly explains the observed denitrification kinetics and transient intermediate accumulations. The result has major implications for understanding the relationship between genotype and phenotype in denitrification research.
反硝化细菌会积累[化学式:见原文]、一氧化氮(NO)和一氧化二氮(N₂O),其积累量取决于核心反硝化基因在氧气限制条件下的转录调控。这些基因包括nar、nir、nor和nosZ,分别编码[化学式:见原文]还原酶、一氧化氮还原酶、NO还原酶和N₂O还原酶。我们之前构建了一个动态模型来模拟反硝化副球菌分批培养中的生长和呼吸作用。通过假设每个细胞中nir转录以极低概率(0.5% h⁻¹)随机起始,进而分别通过NO导致nir和nor的产物诱导转录及底物诱导转录,所观察到的反硝化动力学得到了充分模拟。因此,该模型预测了细胞多样性:氧气耗尽后,只有一小部分细胞能够通过还原[化学式:见原文]来生长。在此,我们扩展了该模型以模拟用[化学式:见原文]进行的分批培养,即[化学式:见原文]、NO、N₂O和N₂的动力学,这是在一项新实验中测量得到的,该实验包括对[化学式:见原文]的频繁测量。在开始产气之前,反硝化副球菌实际上将所有的[化学式:见原文]都还原为了[化学式:见原文]。通过假设与nirS类似的随机nar转录,但概率更高(0.035 h⁻¹)且在更高氧气浓度下起始,对[化学式:见原文]的产生进行了充分模拟。我们的模型假设所有细胞都表达nosZ,因此预测大多数细胞仅具有N₂O还原酶(A),而少数细胞(B)具有[化学式:见原文]还原酶、NO还原酶和N₂O还原酶。群体B的细胞比群体A具有更高的细胞比呼吸速率,因为群体A只能利用群体B产生的N₂O。因此,在氧气耗尽后,[化学式:见原文]的比例立即很低,但在整个缺氧阶段会增加,因为群体B比群体A生长得更快。结果,该模型预测在整个缺氧阶段,N₂O浓度最初较低但会逐渐增加,正如所观察到的那样。模拟的细胞多样性很好地解释了所观察到的反硝化动力学和中间产物的瞬时积累。该结果对于理解反硝化研究中基因型与表型之间的关系具有重要意义。