The dynamic control of gene expression is important for adjusting fluxes in order to obtain desired products and achieve appropriate cell growth, particularly when the synthesis of a desired product drains metabolites required for cell growth. For dynamic gene expression, a promoter responsive to a particular environmental stressor is vital. Here, we report a low-pH-inducible promoter, Pgas, which promotes minimal gene expression at pH values above 5.0 but functions efficiently at low pHs, such as pH 2.0. First, we performed a transcriptional analysis of Aspergillus niger, an excellent platform for the production of organic acids, and we found that the promoter Pgas may act efficiently at low pH. Then, a gene for synthetic green fluorescent protein (sGFP) was successfully expressed by Pgas at pH 2.0, verifying the results of the transcriptional analysis. Next, Pgas was used to express the cis-aconitate decarboxylase (cad) gene of Aspergillus terreus in A. niger, allowing the production of itaconic acid at a titer of 4.92 g/liter. Finally, we found that Pgas strength was independent of acid type and acid ion concentration, showing dependence on pH only. IMPORTANCE The promoter Pgas can be used for the dynamic control of gene expression in A. niger for metabolic engineering to produce organic acids. This promoter may also be a candidate tool for genetic engineering.KEYWORDS Aspergillus niger, low-pH-inducible promoter, itaconic acid, dynamic gene expression, metabolic engineering A spergillus niger is an excellent cell factory for the production of organic acids (1). The rational engineering of A. niger has attracted increasing attention, and great achievements have been made in this area (2, 3). Nevertheless, because heterologous pathways are controlled by constitutive promoters, e.g., the promoter of the glyceraldehyde-3-phosphate dehydrogenase gene (gpdA), most of this research has focused on static metabolic engineering; that is, the gene expression level is set without sensing changes in the pathway output or cellular environment (4). One disadvantage of static control is related to the trade-off between growth and the production of a desired compound; suboptimal productivity is obtained because these pathways can drain metabolites required for biomass synthesis (5). Metabolic engineering approaches are being developed to tackle this problem via a dynamic control system to compensate for changing conditions (6). In this system, the cell modulates its metabolic pathways dynamically to adjust fluxes such that the required metabolic intermediates are delivered at the appropriate levels and times to optimize growth (7).