Runoff modeling is one of the key challenges in the field of hydrology. Various approaches exist, ranging from physically based over conceptual to fully data driven models. In this paper, we propose a data driven approach using the state-of-the-art Long-Short-Term-Memory (LSTM) network. The proposed model was applied in the Poyang Lake Basin (PYLB) and its performance was compared with an Artificial Neural Network (ANN) and the Soil & Water Assessment Tool (SWAT). We first tested the impacts of the number of previous time step (window size) in simulation accuracy. Results showed that a window in improper large size will dramatically deteriorate the model performance. In terms of PYLB, a window size of 15 days might be appropriate for both accuracy and computational efficiency. We then trained the model with 2 different input datasets, namely, dataset with precipitation only and dataset with all available meteorological variables. Results demonstrate that although LSTM with precipitation data as the only input can achieve desirable results (where the NSE ranged from 0.60 to 0.92 for the test period), the performance can be improved simply by feeding the model with more meteorological variables (where NSE ranged from 0.74 to 0.94 for the test period). Moreover, the comparison results with the ANN and the SWAT showed that the ANN can get comparable performance with the SWAT in most cases whereas the performance of LSTM is much better. The results of this study underline the potential of the LSTM for runoff modeling especially for areas where detailed topographical data are not available.

Purpose: The Yellow River delta boasts rich land resources but lacks fresh water and exhibits poor natural conditions. To rationally develop and utilize the land resources therein, it is necessary to evaluate the soil quality. Methods: Adopting specific screening conditions, principal component analysis (PCA) was used to construct a minimum data set (MDS) from 10 soil indicators. Then, a complete soil quality evaluation index system of the Yellow River delta was developed. The soil quality comprehensive index (SQI) method was used to assess the soil quality in the Kenli District, and the soil quality grades and spatial distribution were analyzed. Results: (1) The average SQI of the Kenli District is 0.523, and the best soil quality is concentrated near the Yellow River, especially in Huanghekou town. (2) The normalized difference vegetation index was positively correlate with SQI, whereas Dr (nearest distance between the sampling site and Yellow River) and Ds (nearest distance between the sampling site and Bohai Sea) were negatively correlated with SQI. Elev (sampling site elevation) was not correlated with SQI. (3) The SQI of agricultural planting is greater than that of the natural land type and significantly greater than that of nudation. The main factors limiting farmland soil quality are SK (water-soluble potassium) and pH, whereas the factor limiting the natural land type are the soil nutrient indicators. Conclusions: To improve soil quality and develop and utilize land resources, the towns should adopt systematic land development/utilization methods based on local conditions. These results have important guiding significance and practical value for the more objective and accurate evaluation of soil quality in coastal areas and the development and utilization of land resources.

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The Teosinte branched 1/Cycloidea/Proliferating cell factor (TCP) domain is an evolutionarily conserved DNA binding domain unique to the plant kingdom. To date, the functions of TCPs have been well studied, but the threedimensional structure of the TCP domain is lacking. Here, we have determined the crystal structure of the TCP domain from OsPCF6. The structure reveals that the TCP domain adopts three short b-strands followed by a helix-loop-helix structure, distinct from the canonical basic helix-loop-helix structure. This folded domain shows high structural similarity to the ribbonhelix-helix (RHH) transcriptional repressors, a family of DNA binding proteins with a conserved 3D structural motif (RHH fold), indicating that TCPs could be reclassified as RHH proteins. Our work will provide insight toward a better understanding of the mechanisms underlying TCP protein function.

The phosphate starvation response 1 (PHR1) protein has a central role in mediating the response to phosphate starvation in plants. PHR1 is composed of a number of domains including a MYB domain involved with DNA binding and a coiled‐coil domain proposed to be involved with dimer formation. PHR1 binds to the promoter of phosphate starvation‐induced genes to control the levels of phosphate required for nutrition. Previous studies have shown that both the MYB domain and the coiled‐coil domain of PHR1 are required for binding the target DNA. Here, we describe the crystal structure of the PHR1 MYB domain and two structures of its complex with the PHR1‐binding DNA sequence (P1BS). Structural and isothermal titration calorimetry has been carried out showing that the MYB domain of PHR1 alone is sufficient for target DNA recognition and binding. Two copies of the PHR1 MYB domain bind to the same major groove of the P1BS DNA with few direct interactions between the individual MYB domains. In addition, the PHR1 MYB–P1BS DNA complex structures reveal amino acid residues involved in DNA recognition and binding. Mutagenesis of these residues results in lost or impaired ability of PHR1 MYB to bind to its target DNA. The results presented reveal the structural basis for DNA recognition by the PHR1 MYB domain and demonstrate that two PHR1 MYB domains attach to their P1BS DNA targeting sequence. Database Coordinates and structure factors have been deposited in the Protein Data Bank under accession codes http://www.rcsb.org/pdb/search/structidSearch.do?structureId=6J4K (PHR1 MYB), http://www.rcsb.org/pdb/search/structidSearch.do?structureId=6J4R (PHR1 MYB‐R‐P1BS), http://www.rcsb.org/pdb/search/structidSearch.do?structureId=6J5B (MYB‐CC‐R2‐P1BS).

African Swine Fever (ASF) is a highly contagious viral haemorrhagic disease of swine, leading to enormous economic losses in the swine industry. However, vaccines and drugs to treat ASF have yet to be developed. African swine fever virus (ASFV) encodes more than 150 proteins, but 50% of them have unknown functions. Here, we present the crystal structure of the ASFV I73R protein at a resolution of 2.0 Å. Similar search tools based solely on amino acid sequence shows that it has no relationships to any proteins of known function. Interestingly, the overall structure of the I73R protein shares a winged helix‐turn‐helix fold, structural similarity with the Z‐DNA binding domain (Zα). In accordance with this result, the I73R is capable of binding to a CpG repeats DNA duplex, which has a high propensity for forming Z‐DNA during the DNA binding assays. In addition, the I73R protein was shown to be expressed at both early and late stages of ASFV post‐infection in PAM cells as an 8.9 kDa protein. Immunofluorescence studies revealed that the I73R protein is expressed in the nucleus at early times post‐infection and gradually translocated from the nucleus to the cytoplasm. Taken together, these data indicate that the I73R could be a member of Zα family that is important in host–pathogen interaction, which paves the way for the design of inhibitors to target this severe pathogen. Further exploring the biological role of I73R during ASFV infection in vitro and in vivo will provide new clues for development of new antiviral strategies.

The VirB/D type IV secretion system (T4SS) plays an essential role in materials transport between host cells and pathogenic Helicobacter pylori and is considered the major pathogenic mediator of H. pylori‐associated gastric disease. VirB8, an inner membrane protein that interacts with many other proteins, is a crucial component for secretory function. Here, we present a crystal structure of the periplasmic domain of CagV, the VirB8 counterpart in the H. pylori Cag‐T4SS. The structure reveals a fold similar to that of other VirB8 members except for the absence of the α5 helix, a discontinuous β1 strand, a larger angle between the α2 and α3 helices, a more hydrophobic surface groove, but exhibits a different dimer interface. Whether the dimerization occurs in solution was proved by mutagenesis, size‐exclusion chromatography and cross‐linking assays. Unlike the classical dimerization mode, the interface of the CagV dimer is principally formed by several hydrogen bonds, which indicates instability of dimerization. The structure here demonstrates the difference in dimerization among VirB8 homologues and indicates the considerable compositional and functional diversity of them in T4SS. Database Coordinates and structure factors have been deposited in the Protein Data Bank under accession codes http://www.rcsb.org/pdb/search/structidSearch.do?structureId=6IQT.

Littoral wetlands are globally important for sustainable development; however, they have recently been identified as critical hotspots of nitrous oxide (N2O) emissions. N2O flux from subtropical littoral wetlands remains unclear, especially under the current global warming environment. In the littoral zone of Lake Poyang, a simulated warming experiment was conducted to investigate N2O flux. Open-top chambers were used to raise temperature, and the static chamber-gas chromatograph method was used to measure N2O flux. Results showed that the littoral zone of Lake Poyang was an N2O source, with an average flux rate of 8.9 μg N2O m−2 h−1. Warming significantly increased N2O emission (13.8 μg N2O m−2 h−1 under warming treatment) by 54% compared to the control treatment. N2O flux in the spring growing season was also significantly higher than that of the autumn growing season. In addition, temperature was not significantly related to N2O flux, while soil moisture only explained about 7% of N2O variation. These results imply that N2O emission experiences positive feedback effect on the ongoing warming of the climate, and abiotic factors (e.g., soil temperature and soil moisture) were not main controls on N2O variation in this littoral wetland.