Enhanced bioremediation of soils contaminated with nicosulfuron using the bacterial complex A12.

AIMS: To construct an efficient bacterial complex to degrade nicosulfuron and clarify its degradative characteristics, promote the growth of maize (Zea mays), and provide a theoretical foundation for the efficient remediation of soil contaminated with nicosulfuron. METHODS AND RESULTS: Biocompatibility was determined by the filter paper sheet method by mixing Serratia marcescens A1 and Bacillus cereus A2 in a 1:1 ratio, yielding A12. The optimum culture conditions for the bacterial composite were obtained based on a three-factor, three-level analysis using response surface methodology, with 29.25 g l-1 for maltodextrin, 10.04 g l-1 for yeast extract, and 19.93 g l-1 for NaCl, which resulted in 92.42% degradation at 4 d. The degradation characteristics of A12 were clarified as follows: temperature 30°C, pH 7, initial concentration of nicosulfuron 20 mg l-1, and 4% inoculum. The ability to promote growth was determined by measuring the ratio of the lysosphere diameter (D) to the colony diameter (d), and the ability of the complex A12 to promote growth was higher than that of the two single strains. CONCLUSIONS: Nicosulfuron degradation in sterilized and unsterilized soils reached 85.4% and 91.2% within 28 d, respectively. The ability of the strains to colonize the soil was determined by extraction of total soil DNA, primer design, and gel electrophoresis. The bioremediation effect of A12 was confirmed by the maximum recovery of fresh weight (124.35%) of nicosulfuron-sensitive crop plants and the significant recovery of soil enzyme activities, as measured by the physiological indices in the sensitive plants.

Impact of a Clinical Nursing Teaching Model Based on Institutional Cooperation on Teaching Quality of Nursing Programs in Colleges and Universities and Effectiveness of Internship for Undergraduate Nurses.

Objective: To observe the impact of a clinical nursing teaching model based on institutional collaboration on the teaching quality of nursing programs in colleges and universities and the effectiveness of undergraduate practical nurses in practice. Methods: One hundred and twenty-three undergraduate student nurses graduating from June 2020 to July 2021 were selected for the study, 59 of whom received the traditional teaching model (control group) and 64 of whom received the institutional cooperative teaching model (research group). Upon completion of their internship, a clinical nursing skills assessment was conducted for the two groups, and the clinical internship performance was evaluated using the self-assessment scale of clinical practice behavior performance of nursing undergraduates. A teaching evaluation questionnaire was used to survey the intern nurses' evaluation of the teaching model and their satisfaction with the teaching model was surveyed in the middle and after the completion of the internship, respectively. Upon completion of the internship, the intern nurses filled out a self-satisfaction evaluation form. Results: The research group had a lower failure rate than the control group and a higher excellent rate than the control group (P < .05). There were no differences in the scores of the professional and self-development domains between the two groups (P > .05), while for all other clinical placement performances, the scores were higher in the research group than in the control group (P < .05). In addition, the research group had higher subject presentation, post-lesson acquisition, total score, and teaching satisfaction than the control group (P < .05). In terms of self-satisfaction, the number of satisfied intern nurses was also higher than the control group (P < .05). Conclusion: The reform of clinical nursing teaching mode based on institutional cooperation can effectively improve the quality of nursing teaching in universities and the effectiveness of undergraduate practical nursing.

Strengthening bioremediation potential: Enterobacter ludwigii ES2 for combined nicosulfuron and Cd contamination through whole genome and microbial diversity community analysis.

Nicosulfuron and Cd are common pollutants that pose significant threats to the environment and human health, particularly under combined stress. This study is the first to remediate environmental nicosulfuron and Cd under combined stress using microbiological techniques. Enterobacter ludwigii ES2 was isolated, characterized, and demonstrated to degrade 93.80 % of nicosulfuron and remove 59.64 % of Cd within 4 d. Potential functional genes, including nicosulfuron degradation genes gstA, gstB, glnQ, glnP, mreB, and sixA, and Cd tolerance/removal-related genes mntA, mntB, mntH, dnaK, znuA, and zupt, were predicted by sequencing the whole genome of strain ES2, and their expression was verified by qRT-PCR. Strain ES2 managed oxidative stress induced by Cd through superoxide dismutase, glutathione, catalase, peroxidase, and malondialdehyde. Furthermore, to repair compound stress, up to 90.48 % of nicosulfuron and 67.74 % of Cd were removed. The community structure analysis indicated that Enterobacteriaceae, Sphingomonadaceae, and Gemmatimonadaceae were dominant populations, with ES2 stably colonizing and becoming the dominant bacterium. In summary, ES2 demonstrated significant potential in remediating nicosulfuron and Cd pollution from various perspectives, providing a solid theoretical foundation.

Blockade of BTLA alone or in combination with PD-1 restores the activation and proliferation of CD8+ T cells during in vitro infection with NCP BVDV.

Bovine viral diarrhea virus (BVDV) infection can result in typical peripheral blood lymphopenia and immune dysfunction. However, the molecular mechanism underlying the onset of lymphopenia remains unclear. B and T lymphocyte attenuator (BTLA) is a novel immune checkpoint molecule that primarily inhibits activation and proliferation of T cells. Blockade of BTLA with antibodies can boost the proliferation and anti-viral immune functions of T cells. Nonetheless, the immunomodulatory effects of BTLA in CD8+ T cells during BVDV infection remain unknown. Therefore, BTLA expression was measured in bovine peripheral blood CD8+ T cells infected with BVDV in vitro. Furthermore, the effects of BTLA or PD-1 blockade on CD8+ T cell activation, proliferation, and anti-viral immunological activities were investigated, as well as expression of signaling molecules downstream of BTLA, both alone and in combination. The results demonstrated that BTLA and PD-1 mRNA and protein levels were considerably increased in CD8+ T cells infected with cytopathic and non-cytopathic (NCP) BVDV. Surprisingly, as compared to blockade of either BTLA or PD-1, blockade of both dramatically increased proliferation and expression of CD25 and p-EKR of CD8+ T cells infected with NCP BVDV. Furthermore, blockade of BTLA, but not PD-1, had no effect on BVDV replication or IFN-γ expression. These findings confirmed the immunomodulatory roles of BTLA during BVDV infection, as well as the synergistic role of BTLA and PD-1 in NCP BVDV infection, thereby providing new insights to promote activation and the anti-viral immunological activities of CD8+ T cells.

Adding Metal Ions to the Bacillus mojavensis D50 Promotes Biofilm Formation and Improves Ability of Biocontrol.

Bacillus mojavensis D50, a biocontrol strain, is used to prevent and treat the fungal plant pathogen Botrytis cinerea. Bacillus mojavensis D50's biofilms can affect its colonization; thus, the effects of different metal ions and culture conditions on biofilm formation were determined in this study. The results of medium optimization showed that Ca2+ had the best ability to promote biofilm formation. The optimal medium composition for the formation of biofilms contained tryptone (10 g/L), CaCl2 (5.14 g/L), and yeast extract (5.0 g/L), and the optimal fermentation conditions included pH 7, a temperature of 31.4 °C, and a culture time of 51.8 h. We found that the antifungal activity and abilities to form biofilms and colonize roots were improved after optimization. In addition, the levels of expression of the genes luxS, SinR, FlhA, and tasA were up-regulated by 37.56-, 2.87-, 12.46-, and 6.22-fold, respectively. The soil enzymatic activities which related biocontrol-related enzymes were the highest when the soil was treated by strain D50 after optimization. In vivo biocontrol assays indicated that the biocontrol effect of strain D50 after optimization was improved.

Impacts of mean climate and extreme climate indices on soybean yield and yield components in Northeast China.

Soybean is an important oil crop in China, and the national focus of soybean production is in Northeast China. In order to achieve high-stable yield, it is crucial to acknowledge the impacts of mean climate and extreme climate indices on soybean yield and yield components. In this study, based on the weather data from 61 counties from 1981 to 2017 in Northeast China, we assessed the impacts of mean climate and extreme climate indices on soybean observed yield and simulated yield. Mean climate include effective growing degree days (GDD10), precipitation (Pre), and solar radiation (SR); extreme climate indices include the number of cool days during seed-filling period (C15), the number of cool days during 15 days before anthesis (C17), the number of hot days (H30), maximum amount of 5 Day accumulated precipitation (P5), and consecutive dry days (CDD)). We used the DSSAT-CROPGRO-Soybean model to identify the main yield components for soybean. The results showed that observed soybean yield reduced by 3.57% due to the collective changes in the eight study climate indices. Increases in GDD10, decreases in Pre, and decreases in SR caused a 3.96%, -3.89%, and - 0.48% change in soybean yield, respectively. Decreases in C15 and C17 led to a 5.36% increase in soybean yield; increases in H30, P5, and CDD caused a 5.75%, 0.30%, and 1.14% reduction in soybean yield, respectively. By comparing the response of observed and simulated soybean yield to climate indices (excluding P5) in the DSSAT-CROPGRO-Soybean model, we identified the key yield components for soybean as the number of pods and seed weight. The negative impacts on the number of pods and seed weight were mainly attributed to changes in Pre and H30 from anthesis to podding and during seed-filling period. Our results could be used to assist the local soybean community adapt to climate change.