Low-Dimensional-Materials-Based Photodetectors for Next-Generation Polarized Detection and Imaging.

The vector characteristics of light and the vectorial transformations during its transmission lay a foundation for polarized photodetection of objects, which broadens the applications of related detectors in complex environments. With the breakthrough of low-dimensional materials (LDMs) in optics and electronics over the past few years, the combination of these novel LDMs and traditional working modes is expected to bring new development opportunities in this field. Here, the state-of-the-art progress of LDMs, as polarization-sensitive components in polarized photodetection and even the imaging, is the main focus, with emphasis on the relationship between traditional working principle of polarized photodetectors (PPs) and photoresponse mechanisms of LDMs. Particularly, from the view of constitutive equations, the existing works are reorganized, reclassified, and reviewed. Perspectives on the opportunities and challenges are also discussed. It is hoped that this work can provide a more general overview in the use of LDMs in this field, sorting out the way of related devices for "more than Moore" or even the "beyond Moore" research.

Unraveling the molecular mechanisms of selenite reduction: transcriptomic analysis of Bacillus reveals the key role of sulfur assimilation.

Selenite biotransformation by microorganisms is an effective detoxification and assimilation process. However, current knowledge of the molecular mechanisms of selenite reduction remains circumscribed. Here, the reduction of Se(IV) by a highly selenite-resistant Bacillus sp. SL (up to 50 mM) was systematically analyzed, and the molecular mechanisms of selenite reduction were investigated. Remarkably, 10 mM selenite was entirely transformed by the strain SL within 20 h, demonstrating a faster conversion rate compared to other microorganisms. Furthermore, glutathione (GSH) and exopolysaccharides (EPS) changes were also monitored during the process. Transcriptomic analysis revealed that the genes of ferredoxin-sulfite oxidoreductase (6.82) and sulfate adenylyltransferase (6.32) were significantly upregulated, indicating that the sulfur assimilation pathway is the primary reducing pathway involved in selenite reduction by strain SL. Moreover, key genes associated with NAD(P)/FAD-dependent oxidoreductases and thioredoxin were significantly upregulated. The reduction of Se(IV) was mediated by multiple pathways in strain SL. To our knowledge, this is the initial report to identify the involvement of sulfur assimilation pathway in selenite reduction for bacillus, which is rare in aerobic bacteria.

QSP: An open sequence database for quorum sensing related gene analysis with an automatic annotation pipeline.

Quorum sensing (QS) has attracted great attention due to its important role in the bacterial interactions and its relevance to water management. With the development of high-throughput sequencing technology, a specific database for QS-related sequence annotation is urgently needed. Here, Hidden Markov Model (HMM) profiles for 38 types of QS-related proteins were built using a total of 4024 collected seed sequences. Based on both homolog search and keywords confirmation against the non-redundant database, we established a QS-related protein (QSP) database, that includes 809,721 protein sequences and 186,133 nucleotide sequences, downloaded available at: https://github.com/chunxiao-dcx/QSP. The entries were classified into 38 types and 315 subtypes among 91 bacterial phyla. Furthermore, an automatic annotation pipeline, named QSAP, was developed for rapid annotation, classification and abundance quantification of QSP-like sequences from sequencing data. This pipeline provided the two homolog alignment strategies offered by Diamond (Blastp) or HMMER (Hmmscan), as well as a data cleansing function for a subset or union set of the hits. The pipeline was tested using 14 metagenomic samples from various water environments, including activated sludge, deep-sea sediments, estuary water, and reservoir water. The QSAP pipeline is freely available for academic use in the code repository at: https://github.com/chunxiao-dcx/QSAP. The establishment of this database and pipeline, provides a useful tool for QS-related sequence annotation in a wide range of projects, and will increase our understanding of QS communication in aquatic environments.

Succession of function, assembly, and interaction of microbial community in sequencing biofilm batch reactors under selenite stress.

The mechanism of interaction between selenite, a toxic substance, and the microbial community in wastewater is still not well understood. Herein, nine sequencing biofilm batch reactors were used to systematically investigate the response of the microbial community to the continuous selenite stress. The results showed that selenite affected the reactor performance and reduced the biofilm mass. Also, it increased the proportion of the living cells, and changed the protein and polysaccharide composition of the biofilm as well as cellular secretions. Selenite facilitated the removal of NO3-N, according to water-quality and bioinformatics analyses. As such, the selenite was converted into selenium nanoparticles. α-diversity analysis further revealed that 20 µM selenite enhanced the microbial community resilience, while 200 µM selenite had the reverse effect. Community composition analysis showed that Variovorax, Rhizobium, and Simkania had positive correlations with selenite (P < 0.05). Functional prediction suggested that selenite changed the C, N, and S cycle functions. Furthermore, determinism dominated the community assembly process, and the deterministic proportion increased with the increase of selenite concentration. Network analysis showed that selenite improved the stability and positive correlation ratio of the overall microbial network, and accelerated the communication between microorganisms. However, when compared with the 20 µM selenite, the 200 µM selenite boosted the competition and parasitism/predation among microorganisms. Low-abundance genera played a key role in the network of selenite-reducing microbial community. In addition, under selenite stress, biofilm network exhibited better stability and faster information exchange than suspended network, and the positive association between biofilm and suspended microorganisms increased. All in all, this research sheds light on the interaction between selenite and microbial community, as well as provides crucial information on selenium-containing wastewater.