Three New Species of Aceria (Acari: Trombidiformes: Eriophyoidea) from China.

Three new Aceria species from South China are described and illustrated. Aceria bischofiaesp. nov. was collected on Bischofia javanica Blume (Phyllanthaceae), inducing galls on surfaces of the leaves; Aceria cryptocaryaesp. nov. was collected on Cryptocarya metcalfiana Allen (Lauraceae), causing the formation of erinea on the undersurface of the leaves; and Aceria buddlejaesp. nov. was collected as a vagrant on Buddleja lindleyana Fort. (Scrophulariaceae) leaves, and no symptoms were observed on the host plant.

Two new species of eriophyoid mites (Acari: Prostigmata: Eriophyoidea) associated with Callerya Endl. and supplementary descriptions of Fujianacarus wisterianis from China.

Two new eriophyid mite species (Acari: Prostigmata: Eriophyoidea) were described from the host plants of the genus Callerya Endl. during a field survey in China: Tetra nitidae sp. nov. vagrant on leaves ofCallerya nitida (Bentham) R. Geesink (Leguminosae),and Calepitrimerus calleryus sp. nov. vagrant on leaves ofCallerya tsui (F. P. Metcalf) Z. Wei & Pedley. Both species caused no apparent symptoms in their host plants. Additionally, this paper provides a supplementary morphological description and illustrations of Fujianacarus wisterianis Song, Xue & Hong, 2008 (Eriophyoidea).

Two new Diptacus and one new Trimeroptes species (Acari: Diptilomiopidae) from China.

Two new Diptacus species and one new Trimeroptes species (Acari: Eriophyoidea: Diptilomiopidae) are described and illustrated from China: Diptacus suichangensis sp. nov. on Aralia chinensis L. (Araliaceae) and Diptacus pyracanthae sp. nov. on Pyracanthafortuneana (Maxim.) Li (Rosaceae), and Trimeroptes longlinensis sp. nov. on Carpinus sp. (Betulaceae). These new species were found to be vagrant on the lower surface of their associated plants leaves, albeit with no apparent damage observed.

Characterization of the complete chloroplast genome of Chlorophytum comosum (Liliaceae).

Chlorophytum comosum is a perennial ornamental plant in the family Liliaceae, it is also a valuable medicinal plant. To enrich the genetic resources of C. comosum, its chloroplast genome was determined by Illumina sequencing data. The chloroplast genome is a typical quadripartite structure with a size of 153,983 bp, of which the LSC region is 83,471 bp, the SSC region is 18,010 bp, and the pair of IR regions is 26,251 bp. The overall GC content is 37%. It contains 131 genes, including 85 protein-coding genes, 38 tRNA genes, and 8 rRNA genes. Phylogenetic analyses showed that C. comosum is closely related to Chlorophytum rhizopendulum. However, it can be distinguished from other plants. This study enriches the sequence resources of C. comosum and provides important data for the development of molecular identification markers.

Using large-scale climate drivers to forecast meteorological drought condition in growing season across the Australian wheatbelt.

Recurring drought has caused large crop yield losses in Australia during past decades. Long-term drought forecasting is of great importance for the development of risk management strategies. Recently, large-scale climate drivers (e.g. El Niño-Southern Oscillation) have been demonstrated as useful in the application of drought forecasting. Machine learning-based models that use climate drivers as input are commonly adopted to provide drought forecasts as these models are easy to develop and require less information compared to physical-based models. However, few machine learning-based models have been developed to forecast drought conditions during growing season across all Australian cropping areas. In this study, we developed a growing season (Apr.-Nov.) meteorological drought forecasting model for each climate gauging location across the Australian wheatbelt based on multiple lagged (past) large-scale climate indices and the Random Forest (RF) algorithm. The Standardized Precipitation Index (SPI) was used as the response variable to measure the degree of meteorological drought. Results showed that the RF model could provide satisfactory drought forecasts in the eastern areas of the wheatbelt with Pearson's correlation coefficient r > 0.5 and normalized Root Mean Square Error (nRMSE) < 23%. Forecasted drought maps matched well with observed drought maps for three representative periods. We identified NINO3.4 sea surface temperature and Multivariate ENSO Index as the most influential indices dominating growing season drought conditions across the wheatbelt. In addition, lagged impacts of large-scale climate drivers on growing season drought conditions were long-lasting and the indices in previous year could also potentially affect drought conditions during current year. As large-scale climate indices are readily available and can be rapidly used to feed data driven models, we believe the proposed meteorological drought forecasting models can be easily extended to other regions to provide drought outlooks which can help mitigate adverse drought impacts.

Propofol alleviates ventilator-induced lung injury through regulating the Nrf2/NLRP3 signaling pathway.

Ventilator-induced lung injury (VILI) causes problems during acute lung injury treatment, and propofol is a well-known drug to prevent VILI. Herein, we discussed how propofol protects against VILI-induced inflammation with the interaction of nuclear factor E2-related factor 2 (Nrf2)/NOD-like receptor protein 3 (NLRP3). We established VILI mouse models for collecting lung tissues, and these mice were later treated with propofol and Nrf2/NLRP3 activator or inhibitor to observe their effects on VILI with inflammatory factors, 8-hydroxy-2 deoxyguanosine, malondialchehyche level, mitochondrial reactive oxygen species production rate, lung wet/dry weight ratio, lung permeability index measured. Propofol treatment improved VILI, alleviated pulmonary inflammation induced by mechanical ventilation. Propofol up-regulated Nrf2 and down-regulated NLRP3 in VILI model. Activating Nrf2 or inhibiting NLRP3 downregulated pro-inflammatory factors in lung tissues in VILI mice. Above all, we can conclude that propofol exerts it protective function against VILI and the subsequent inflammatory responses through activating Nrf2 and inhibiting NLRP3 expression. Therefore, Nrf2 activator and NLRP3 inhibitor might be latent targets in the VILI prevention.

Sources of uncertainty for wheat yield projections under future climate are site-specific.

Understanding sources of uncertainty in climate-crop modelling is critical for informing adaptation strategies for cropping systems. An understanding of the major sources of uncertainty in yield change is needed to develop strategies to reduce the total uncertainty. Here, we simulated rain-fed wheat cropping at four representative locations in China and Australia using eight crop models, 32 global climate models (GCMs) and two climate downscaling methods, to investigate sources of uncertainty in yield response to climate change. We partitioned the total uncertainty into sources caused by GCMs, crop models, climate scenarios and the interactions between these three. Generally, the contributions to uncertainty were broadly similar in the two downscaling methods. The dominant source of uncertainty is GCMs in Australia, whereas in China it is crop models. This difference is largely due to uncertainty in GCM-projected future rainfall change across locations. Our findings highlight the site-specific sources of uncertainty, which should be one step towards understanding uncertainties for more robust climate-crop modelling.

Hollow S-nitrosothiols nanoparticle with polymeric brushes for nitric oxide (NO)-releasing as tumor targeted chemotherapy.

A kind of tumor targeting nitric oxide donor nanoparticle with brushes is described in this paper. The poly(4-vinylphenylboronic acid) polymeric brush, which shows glucose and pH dual responsiveness, endows the ability of hollow S-nitrosothiols nanoparticle to accurate recognition and binding with the sialic acid over-expressed type tumor cells, such as HepG2 and MCF-7 cells. In vitro experiments, including cells capture and release experiments, confocal fluorescence microscope characterization, cytotoxicity assay with different cells, demonstrate the selective recognition and the controlled NO release to kill tumor cells for these S-nitrosothiols nanoparticles. Low concentration of the released NO from the S-nitrosothiols nanoparticles in the transmission would participate physiological activity and avoid serious side effects because the endogenous nature and the physiological necessity to regulate normal biological functions. To the best of our knowledge, this is the first report about polymer nanoparticles as NO donors with functional brushes to selectively identify tumor cells and release NO in a controlled manner.