Nitrogen-fixing and non-nitrogen-fixing legume plants differ in leaf nutrient concentrations and relationships between photosynthetic and hydraulic traits.

Legumes account for a significant proportion of plants in the terrestrial ecosystems. Nitrogen (N)-fixing capability of certain legumes is a pivotal trait that contributes to their ecological dominance. Yet, the functional traits and trait relationships between N-fixer and non-N-fixer legumes are poorly understood. Here, we investigated 27 functional traits associated with morphology, nutrients, hydraulic conductance and photosynthesis in 42 woody legumes (19 N-fixers and 23 non-N-fixers) in a common garden. Our results showed that N-fixers had higher specific leaf area, photosynthetic phosphorus (P)-use efficiency, leaf N, and iron concentrations on both area and mass basis, N/P ratio, and carbon (C) to P ratio, but lower wood density, area-based maximum photosynthetic rate (Aa), photosynthetic N-use efficiency, leaf mass- and area-based P and molybdenum and area-based boron concentrations, and C/N ratio, compared with non-N-fixers. The mass-based maximum photosynthetic rate (Am), stomatal conductance (gs), intrinsic water-use efficiency (WUEi), mass- and area-based leaf potassium and mass-based boron concentrations, leaf hydraulic conductance (Kleaf), and whole-shoot hydraulic conductance (Kshoot) showed no difference between N-fixers and non-N-fixers. Significant positive associations between all hydraulic and photosynthetic trait pairs were found in N-fixers, but only one pair (Kshoot-Aa) in non-N-fixers, suggesting that hydraulic conductance plays a more important role in mediating photosynthetic capacity in N-fixers compared with non-N-fixers. Higher mass-based leaf N was linked to lower time-integrated gs and higher WUEi among non-N-fixer legumes or all legumes pooled after phylogeny was considered. Moreover, mass-based P concentration was positively related to Am and gs in N-fixers, but not in non-N-fixers, indicating that the photosynthetic capacity and stomatal conductance in N-fixers were more dependent on leaf P status than in non-N-fixers. These findings expand our understanding of the trait-based ecology within and across N-fixer and non-N-fixer legumes in tropics.

Analysis of Nucleoporin 107 Overexpression and Its Association with Prognosis and Immune Infiltration in Lung Adenocarcinoma by Bioinformatics Methods.

Background: Lung adenocarcinoma (LUAD) has high morbidity and mortality. Current studies indicate nucleoporin 107 (NUP107) is involved in the construction of nuclear pore complex, and NUP107 overexpression contributes to the growth and development in most types of cancers, but its effect in LUAD has not been elucidated. Methods: Differences in NUP107 expression were investigated using the Cancer Genome Atlas (TCGA) and multiple Gene Expression Omnibus (GEO) data sets. Enrichment analysis were implemented to probe the NUP107 function. The association of NUP107 with the degree of immune cell infiltration was investigated by the TIMER database, single-sample gene set enrichment analysis (ssGSEA), and ESTIMATE. The association of NUP107 expression with tumor mutation burden (TMB), TP53, and immune checkpoint was analyzed. Single-cell RNA sequencing data were used to detect NUP107 expression in different cell clusters. Finally, we performed real-time quantitative polymerase chain reaction (RT-qPCR) and immunohistochemistry (IHC) to prove the difference of NUP107 expression. Results: NUP107 was overexpressed in LUAD and mainly expressed in cancer stem cell (CSC). Overexpression of NUP107 in LUAD suggested a poorer prognosis. Functional enrichment analysis pointed out that NUP107 was mainly linked to the regulation of cell cycle. Both immune cell infiltration and TMB were found to be in connection with NUP107. Cases in the group with high NUP107 expression had poorer immune infiltration, but had higher expression of immune checkpoints, TMB, and proportion of TP53 mutations. Conclusion: NUP107 is a sensitive diagnostic and prognostic factor for LUAD and may be involved in tumor progression through its effects on cell cycle and immune infiltration.

Factors influencing mosaicism: a retrospective analysis.

RESEARCH QUESTION: What factors affect the incidence of mosaic embryos resulting from assisted reproductive technology? DESIGN: A retrospective analysis of data from preimplantation genetic testing for aneuploidies in 544 couples was conducted using data from an electronic medical record database. RESULTS: Of 1910 embryos studied, 127 (6.6%) were mosaic. In multivariable logistic regression analysis, mosaicism incidence increased in embryos from IVF versus intracytoplasmic sperm injection (ICSI) (odds ratio [OR] 4.560, 95% confidence interval [CI] 2.800-7.424, P < 0.001), and in embryos from abnormal versus normal semen (OR 3.496, 95% CI 2.455-4.979, P < 0.001). Embryos tested using SurePlex 24Sure had lower mosaicism percentages than those tested using MALBAC-NGS and PicoPLEX GenetiSure (OR 2.726, 95% CI 1.532-4.852, P = 0.001; OR 2.389, 95% CI 1.537-3.711, P < 0.001, respectively). CONCLUSIONS: Semen quality, fertilization method and detection system are independent factors associated with embryonic mosaicism.

Resource Misallocation and Energy-Related Pollution.

Developing countries face the conflict between economic development and environmental protection. Resource misallocation will not only affect the effectiveness of economic development, but also have environmental impacts. Based on two large-scale enterprise databases in China, this paper measured the level of enterprise resource allocation, and further used empirical research methods to investigate the environmental impact of enterprise resource misallocation and specific mechanisms. The results show that the low efficiency of resource allocation will harm the quality of China's environment. Further investigation, resource misallocation is accompanied by an increase in total energy input, a decrease in the labor-to-energy ratio and the capital-to-energy ratio, and a loss of energy efficiency, which in turn affects the environmental performance of enterprises. China is the largest developing country in the world, and research on China's environmental and economic issues is important. The conclusions of this paper can provide experience and suggestions for other developing countries to improve environmental quality and promote sustainable development from the perspective of resource misallocation.

Pollution Emissions, Environmental Policy, and Marginal Abatement Costs.

Pollution emissions impose serious social negative externalities, especially in terms of public health. To reduce pollution emissions cost-effectively, the marginal abatement costs (MACs) of pollution emissions must be determined. Since the industrial sectors are the essential pillars of China's economic growth, as well as leading energy consumers and sulfur dioxide (SO2) emitters, estimating MACs of SO2 emissions at the industrial level can provide valuable information for all abatement efforts. This paper tries to address the critical and essential issue in pollution abatement: How do we determine the MACs of pollution emissions in China? This paper first quantifies the SO2 emission contribution of different industrial sectors in the Chinese economy by an Input-Output method and then estimates MACs of SO2 for industrial sectors at the national level, provincial level, and sectoral level by the shadow price theory. Our results show that six sectors (e.g., the Mining and Washing of Coal sector) should be covered in the Chinese pollution emission trading system. We have also found that the lowest SO2 shadow price is 2000 Yuan/ton at the national level, and that shadow prices should be set differently at the provincial level. Our empirical study has several important policy implications, e.g., the estimated MACs may be used as a pricing benchmark through emission allowance allocation. In this paper, the MACs of industrial sectors are calculated from the national, provincial and sectoral levels; therefore, we provide an efficient framework to track the complex relationship between sectors and provinces.

Oil Price Uncertainty, Transport Fuel Demand and Public Health.

Based on the panel data of 306 cities in China from 2002 to 2012, this paper investigates China's road transport fuel (i.e., gasoline and diesel) demand system by using the Almost Ideal Demand System (AIDS) and the Quadratic AIDS (QUAIDS) models. The results indicate that own-priceelasticitiesfordifferentvehiclecategoriesrangefrom-1.215to-0.459(byAIDS)andfrom -1.399 to-0.369 (by QUAIDS). Then, this study estimates the air pollution emissions (CO, NOx and PM2.5) and public health damages from the road transport sector under different oil price shocks. Compared to the base year 2012, results show that a fuel price rise of 30% can avoid 1,147,270 tonnes of pollution emissions; besides, premature deaths and economic losses decrease by 16,149 cases and 13,817.953 million RMB yuan respectively; while based on the non-linear health effect model, the premature deaths and total economic losses decrease by 15,534 and 13,291.4 million RMB yuan respectively. Our study combines the fuel demand and health evaluation models and is the first attempt to address how oil price changes influence public health through the fuel demand system in China. Given its serious air pollution emission and substantial health damages, this paper provides important insights for policy makers in terms of persistent increasing in fuel consumption and the associated health and economic losses.

Uncoupling protein 2 expression affects androgen synthesis in polycystic ovary syndrome.

The roles of uncoupling protein-2 (UCP2) on the androgen synthesis of granulosa cells derived from patients with polycystic ovary syndrome (PCOS) and normal subjects were explored. Primary human granulosa cells from 18 patients who received in vitro fertilization (IVF) were examined; nine patients had PCOS with hyperandrogenism. Primary cultures were treated with genipin, a proton leak inhibitor, guanosine diphosphate (GDP), an UCP inhibitor, and triiodothyronine (T3), an inducer of UCP gene expression. Mitochondrial membrane potential was determined using the JC-1 assay. T3 induced P450scc and UCP2 expressions and testosterone synthesis in both normal and PCOS granulosa cells. Their expressions in response to T3 treatments were correlated in the PCOS group. Differences in testosterone synthesis were observed between normal and PCOS cells in response to genipin. Increased mitochondrial membrane potential was observed in response to genipin and GDP; while T3 decreased it. Increased ovarian UCP2 expression in response to T3 treatment in PCOS may alter pregnenolone synthesis by influencing P450scc expression, thus altering testosterone production. Further in vivo studies are necessary to fully elucidate the role of UCP2 in the hyperandrogenism commonly observed in PCOS.

Abnormal expression of uncoupling protein-2 correlates with CYP11A1 expression in polycystic ovary syndrome.

Polycystic ovary syndrome (PCOS) may result from hypersensitivity to insulin, which is negatively regulated by uncoupling protein (UCP)-2. Because cholesterol side-chain cleavage enzyme (CYP11A1) is closely linked to PCOS, the expression of UCP-2 and CYP11A1 in ovarian tissues from PCOS patients was examined in the present study. Twelve PCOS patients with hyperandrogenaemia who underwent laparoscopic ovarian wedge resection and 12 age-matched control patients who underwent contralateral ovarian biopsy were enrolled in the study. UCP-2 expression in early stage (primordial, primary and secondary) and late stage (sinus and mature) follicles was examined using immunohistochemistry, whereas UCP-2 and CYP11A1 mRNA and protein levels in ovarian tissue were determined using quantitative reverse transcription-polymerase chain reaction and western blot analyses, respectively. UCP-2 expression increased significantly with follicular development in both control and PCOS tissue, with expression in early stage follicles from PCOS patients significantly greater than that in controls. In addition, both UCP-2 and CYP11A1mRNA and protein levels, mean fasting blood glucose concentrations and fasting serum insulin levels were significantly higher in PCOS patients compared with the control group. Finally, a significant correlation between UCP-2 and CYP11A1 expression was found in PCOS but not control patients. In conclusion, in PCOS patients, there was a correlation between UCP-2 and CYP11A1 expression, which was significantly higher than in the control group. These changes in UCP-2 and CYP11A1 expression may mediate follicle development in PCOS.

[Distinctive compound in Rhizome of Pinellia ternata].

OBJECTIVE: To look for and determine the distinctive compound in Pinellia ternata. METHOD: With TLC, HPLC, the distinctive compound was found and obtained by using the method of HPLC preparation. Its structure was elucidated by spectral analysis and physico-chemical properties. RESULT: The compound was identified as inosine. CONCLUSION: Inosine is the distinctive compound in Rhizome of P. ternata, and it was isolated from Banxia for the first time.