Izallalen Mounir, Mahadevan Radhakrishnan, Burgard Anthony, Postier Bradley, Didonato Raymond, Sun Jun, Schilling Christopher H, Lovley Derek R
Department of Microbiology, 203 Morril Science IV-N, University of Massachusetts, Amherst, MA 01003, USA.
Metab Eng. 2008 Sep;10(5):267-75. doi: 10.1016/j.ymben.2008.06.005. Epub 2008 Jun 27.
Geobacter species are among the most effective microorganisms known for the bioremediation of radioactive and toxic metals in contaminated subsurface environments and for converting organic compounds to electricity in microbial fuel cells. However, faster rates of electron transfer could aid in optimizing these processes. Therefore, the Optknock strain design methodology was applied in an iterative manner to the constraint-based, in silico model of Geobacter sulfurreducens to identify gene deletions predicted to increase respiration rates. The common factor in the Optknock predictions was that each resulted in a predicted increase in the cellular ATP demand, either by creating ATP-consuming futile cycles or decreasing the availability of reducing equivalents and inorganic phosphate for ATP biosynthesis. The in silico model predicted that increasing the ATP demand would result in higher fluxes of acetate through the TCA cycle and higher rates of NADPH oxidation coupled with decreases in flux in reactions that funnel acetate toward biosynthetic pathways. A strain of G. sulfurreducens was constructed in which the hydrolytic, F(1) portion of the membrane-bound F(0)F(1) (H(+))-ATP synthase complex was expressed when IPTG was added to the medium. Induction of the ATP drain decreased the ATP content of the cell by more than half. The cells with the ATP drain had higher rates of respiration, slower growth rates, and a lower cell yield. Genome-wide analysis of gene transcript levels indicated that when the higher rate of respiration was induced transcript levels were higher for genes involved in energy metabolism, especially in those encoding TCA cycle enzymes, subunits of the NADH dehydrogenase, and proteins involved in electron acceptor reduction. This was accompanied by lower transcript levels for genes encoding proteins involved in amino acid biosynthesis, cell growth, and motility. Several changes in gene expression that involve processes not included in the in silico model were also detected, including increased expression of a number of redox-active proteins, such as c-type cytochromes and a putative multicopper outer-surface protein. The results demonstrate that it is possible to genetically engineer increased respiration rates in G. sulfurreducens in accordance with predictions from in silico metabolic modeling. To our knowledge, this is the first report of metabolic engineering to increase the respiratory rate of a microorganism.
地杆菌属物种是已知的最有效的微生物之一,可用于污染地下环境中放射性和有毒金属的生物修复,以及在微生物燃料电池中将有机化合物转化为电能。然而,更快的电子传递速率有助于优化这些过程。因此,Optknock菌株设计方法被以迭代的方式应用于基于约束的嗜硫地杆菌计算机模型,以识别预测可提高呼吸速率的基因缺失。Optknock预测中的共同因素是,每种预测都会导致细胞ATP需求的增加,要么通过产生消耗ATP的无效循环,要么减少用于ATP生物合成的还原当量和无机磷酸盐的可用性。计算机模型预测,增加ATP需求将导致乙酸盐通过三羧酸循环的通量更高,NADPH氧化速率更高,同时将乙酸盐导向生物合成途径的反应通量降低。构建了一株嗜硫地杆菌,当向培养基中添加IPTG时,膜结合的F(0)F(1)(H(+))-ATP合酶复合物的水解性F(1)部分会表达。ATP消耗的诱导使细胞的ATP含量降低了一半以上。具有ATP消耗的细胞具有更高的呼吸速率、更慢的生长速率和更低的细胞产量。全基因组基因转录水平分析表明,当诱导更高的呼吸速率时,参与能量代谢的基因的转录水平更高,特别是那些编码三羧酸循环酶、NADH脱氢酶亚基以及参与电子受体还原的蛋白质的基因。与此同时,编码参与氨基酸生物合成、细胞生长和运动的蛋白质的基因的转录水平较低。还检测到一些基因表达的变化,这些变化涉及计算机模型中未包括的过程,包括许多氧化还原活性蛋白的表达增加,如c型细胞色素和一种假定的多铜外表面蛋白。结果表明,根据计算机代谢模型的预测,有可能通过基因工程提高嗜硫地杆菌的呼吸速率。据我们所知,这是关于代谢工程提高微生物呼吸速率的首次报道。