Mice are widely used as experimental models for gut microbiome (GM) studies, yet the majority of mouse GM members remain uncharacterized. Here, we report the construction of a mouse gut microbial biobank (mGMB) that contains 126 species, represented by 244 strains that have been deposited in the China General Microorganism Culture Collection. We sequence and phenotypically characterize 77 potential new species and propose their nomenclatures. The mGMB includes 22 and 17 species that are significantly enriched in ob/ob and wild-type C57BL/6J mouse cecal samples, respectively. The genomes of the 126 species in the mGMB cover 52% of the metagenomic nonredundant gene catalog (sequence identity ≥ 60%) and represent 93-95% of the KEGG-Orthology-annotated functions of the sampled mouse GMs. The microbial and genome data assembled in the mGMB enlarges the taxonomic characterization of mouse GMs and represents a useful resource for studies of host-microbe interactions and of GM functions associated with host health and diseases.

As human society enters the big data era, huge data storage and energy‐efficient data processing are in great demand. The resistive switching device is an emerging device with both inherent memory and computation capabilities. It may bring disruptive influences to modern information technology from bottom up. After decades of study of the materials, mechanisms, and devices, the maturity of the resistive switching device in various applications, for example, nonvolatile memory, artificial neural networks, and information security, could be foreseen. Herein, the recent progress of the resistive switching device from the aspects of materials, devices, and applications is reviewed. First, the resistive switching device, including mechanisms and materials, is briefly discussed. Performance improvement methods with respect to individual device properties are systematically illustrated. Second, characterization technologies for understanding the mechanism and guidance of device design are classified and discussed in depth. Third, various applications based on resistive switching devices are summarized. The review ends with a brief conclusion concerning the challenges from mechanism to algorithm level and the future outlook.