<em>Pseudomonas putida</em> coordinates the expression of two manganese oxidases and optimizes manganese oxide precipitation in response to aqueous Mn(II)

Manganese (Mn) oxides are commonly precipitated by bacteria and fungi. Recent studies have shown that Mn-oxidizing bacteria can harbor multiple Mn oxidases, but the environmental controls on the regulation of these enzymes are unknown. Here, we examine the dynamic activation of the genes encoding for MnxG and McoA, two Mn oxidases in Pseudomonas putida GB-1 in response to varying Mn(II) concentrations. Using reporter gene fusion strains, we found that mnxG and mcoA are activated in an increasingly larger proportion of the population with increasing initial Mn(II) concentrations. The two genes showed specificity to the Mn(II) concentration range, with an increasing fraction of the population activating mnxG from 0 to 10 µM Mn(II) and from 10 to 500 µM for mcoA. Kinetic modeling showed that co-expression of mnxG and mcoA alleviates substrate saturation and inhibition of MnxG at high Mn(II) concentrations, while allowing for an eight-fold increase in the initial rate of Mn oxidation in the..., , , # *Pseudomonas putida* coordinates the expression of two manganese oxidases and optimizes manganese oxide precipitation in response to aqueous Mn(II) [https://doi.org/10.5061/dryad.fj6q5742z](https://doi.org/10.5061/dryad.fj6q5742z) ## Description of the data and file structure All data were collected using the same microscope and imaging settings, as detailed in the associated manuscript. The dataset is provided as a compressed folder containing all data used to generate the main and Supplementary Figures. The folder is organized by figure number. Within each subfolder, compiled raw data—processed following segmentation of microcolonies, individual cells, and aggregates—are available in .csv or .mat formats. MATLAB scripts used for data processing and visualization are included in .m format. When a separate supplementary data file is not provided, the relevant data are embedded in the initial lines of the corresponding MATLAB script. For epifluorescence microscopy images, kindly c...,锰（Manganese, Mn）氧化物通常由细菌和真菌介导沉淀形成。近期研究表明，锰氧化细菌（Mn-oxidizing bacteria）可携带多种锰氧化酶（Mn oxidases），但目前尚不明确调控这些酶的环境因素。本研究针对恶臭假单胞菌（Pseudomonas putida）GB-1中的两种锰氧化酶MnxG和McoA的编码基因，探究其在不同Mn(II)浓度下的动态激活情况。通过报告基因融合菌株（reporter gene fusion strains）实验，我们发现随着初始Mn(II)浓度升高，群体中激活mnxG和mcoA的细胞比例逐渐升高。两种基因对Mn(II)浓度范围具有特异性：群体中激活mnxG的比例在0至10 μM Mn(II)范围内逐渐升高，而激活mcoA的比例则在10至500 μM Mn(II)范围内逐渐升高。动力学建模（kinetic modeling）结果显示，mnxG与mcoA的共表达可缓解高Mn(II)浓度下的底物饱和现象以及对MnxG的抑制作用，同时使Mn氧化的初始速率提升8倍……**恶臭假单胞菌（Pseudomonas putida）可通过协调两种锰氧化酶的表达，优化响应水相Mn(II)的氧化锰沉淀过程** https://doi.org/10.5061/dryad.fj6q5742z ## 数据与文件结构说明 所有数据均采用同一显微镜及成像参数采集，具体细节详见相关研究论文。本数据集以压缩文件夹形式提供，包含用于绘制主图与补充图的全部数据。 文件夹按图号进行组织。每个子文件夹内均包含经过微菌落、单个细胞及聚集体分割处理后的整合原始数据，格式为.csv或.mat。 用于数据处理与可视化的MATLAB脚本以.m格式提供。若未单独提供补充数据文件，则相关数据已嵌入对应MATLAB脚本的开头部分。对于落射荧光显微镜（epifluorescence microscopy）图像，请……