Dipterocarpoidae genomics reveal their demography and adaptations to Asian rainforests.

Dipterocarpoideae species form the emergent layer of Asian rainforests. They are the indicator species for Asian rainforest distribution, but they are severely threatened. Here, to understand their adaptation and population decline, we assemble high-quality genomes of seven Dipterocarpoideae species including two autotetraploid species. We estimate the divergence time between Dipterocarpoideae and Malvaceae and within Dipterocarpoideae to be 108.2 (97.8‒118.2) and 88.4 (77.7‒102.9) million years ago, and we identify a whole genome duplication event preceding dipterocarp lineage diversification. We find several genes that showed a signature of selection, likely associated with the adaptation to Asian rainforests. By resequencing of two endangered species, we detect an expansion of effective population size after the last glacial period and a recent sharp decline coinciding with the history of local human activities. Our findings contribute to understanding the diversification and adaptation of dipterocarps and highlight anthropogenic disturbances as a major factor in their endangered status.

The complete chloroplast genome sequence of Begonia ferox, an endangered species in China.

Begonia ferox C.I Peng & Yan Liu (2013) was rated as endangered according to Red List of Chinese Plants. In this study, we report the complete chloroplast genome of B. ferox. The chloroplast genome is 169,114 bp in length as the circular, with the GC content of 35.5%, composed by a large single-copy (LSC) region of 75,887 bp, a small single-copy (SSC) region of 18,105 bp, and two inverted repeat regions (IRs) of 37,561 bp in each. The genome comprises 174 encoded genes in total, including 114 protein-coding genes, eight ribosomal RNA genes, and 52 transfer RNA genes. Phylogenetic analysis indicated that B. ferox is genetically closest to B. gulongshanensis.

Impact of lane-changing behavior on traffic emissions of road sections in multi-dimensional mixed traffic flow environment.

This study analyzed the effect of lane-changing behavior on traffic flow emissions and energy consumption of road sections in fuel vehicle-battery electric vehicle (FV-BEV) and human-driven vehicle-cooperative adaptive cruise control (HDV-CACC) multi-dimensional mixed traffic flow environments. Based on the traditional energy consumption model, a multi-dimensional mixed traffic flow energy consumption model was established by considering the BEV and CACC penetration rates. The microscopic traffic flow theory approach was used to analyze lane-changing behavior and the influencing mechanism of lane-changing behavior on the energy consumption of multi-dimensional mixed traffic flow, and MATLAB was used for the experimental simulation. The lane-changing behavior of the leading vehicle had a negative impact on the energy consumption of road segment traffic flow. Within the 95% effective impact range, the average energy consumption of traffic flow with respect to lane-changing behavior was 7.8% higher than that of the following traffic flow. The BEV penetration rate was beneficial for reducing the energy consumption of mixed traffic flow. At an economic velocity, the energy consumption of homogeneous BEV traffic flow was only 58.3% of that of homogeneous FV traffic flow. The CACC penetration rate could increase the traffic flow toughness. When the BEV penetration rate was constant, the higher the CACC penetration rate, the smaller the impact of lane-changing behavior on emissions. When traffic flow was completely transformed to homogeneous CACC traffic flow, lane-changing behavior only increased the overall energy consumption of the traffic flow by 4.99%, which was lower than the average level. Consequently, the promotion of BEV and CACC can improve the impact of traffic emissions on air pollution. When CACC penetration is low, reducing unnecessary lane-changing behavior to ensure the stability of traffic flow is also an effective way to reduce emissions.Implications: Multi-dimensional mixed traffic flow energy consumption model is proposed.CACC penetration rate, BEV penetration rate and lane-changing behavior will change traffic energy consumption. In this paper, different influencing factors are analyzed one by one.It provides a theoretical basis for relevant departments of traffic management to optimize vehicle emissions and traffic organization.

Optimization model for bus priority control considering carbon emissions.

To study the impact of bus priority control (BPC) on traffic carbon emissions under the strategies of speed guidance, green extension (GE), and red truncation (RT), with consideration of the main influencing factors such as delay, stopping times, and speed, a combination optimization method was used to develop a bi-level optimization model for BPC. The optimal carbon-emission reductions of buses and social vehicles with different fuel types in the upstream section of the intersection and the intersection control area was the upper-level objective, and the optimal total passenger-delay reduction was the lower-level objective. The Gauss - Seidel iterative algorithm was used to solve the model. Finally, the model was applied to the analysis of calculation cases. The results indicated that after BPC was adopted under the guidance acceleration strategy, the reductions in the carbon emissions and total delay of passenger were optimal when the guidance speed was 38 km/h, i.e. 12.67% and 21.05%, respectively. Under the guidance acceleration and GE strategy, the reductions in the carbon emissions and total delay of passenger were optimal when the guidance speed was 39 km/h and the GE was 6 s, i.e. 27.49% and 38.62%, respectively. Under the guidance deceleration and RT strategy, the reductions in the carbon emissions and total delay of passenger were optimal when the guidance speed was 29 km/h and the RT was 6 s, i.e. 22.18% and 33.52%, respectively. The model reduced the carbon emissions and total delay of passenger in the upstream section of the intersection and the intersection control area to achieve the optimal overall traffic benefit for the intersection.

Two bus signal priority control strategies ­ green extension and red truncation ­ were studied.Carbon emission and delay calculation methods under the bus priority control were developed.Considering carbon-emission reductions of buses and social vehicles with different fuel types under different working conditions.Three control methods were studied: guidance acceleration, guidance acceleration and green extension, and guidance deceleration and red truncation.

Characterization of the complete chloroplast genome of Begonia handelii.

Begonia is the fifth largest genus of angiosperms in the world, and Begonia handelii is a member of the Begonia(Begoniaceae), and is one of the few species with floral fragrance in this genus. However, the chloroplast genome structure and phylogenetic relationship of this species is still unclear. In this study, the chloroplast genome of B. handelii was sequenced by Illumina HiSeq X platform, and the phylogenetic relationship of this species in Begonia was analyzed with related species. The whole chloroplast genome of B. handelii is 169,406 bp in size, which consist one large single-copy region (LSC) with 95,403 bp, one small single-copy region (SSC) with 20,089 bp, and two inverted repeat regions (IR) with 26,957 bp. The GC content of this chloroplast genome is 35.6%. Moreover, 140 genes were found in the chloroplast of B. handelii, including 90 protein-coding genes, 8 rRNA genes, 42 tRNA genes. Phylogenetic analysis showed that B. handelii is closed to B. coptidifolia and B. pulchrifolia. This study lays the foundation for further research on the chloroplast genome evolution of B. handelii chloroplasts.

Chemical profiling, quantitation, and bioactivities of Du-Zhong tea.

Du-Zhong tea is a health beverage produced from Eucommia ulmoides leaves (EUL) as raw materials using traditional tea processing and Chinese herbal pieces processing methods. To evaluate the differences between tender leaves and mature leaves of Du-Zhong tea, UPLC-Q-TOF MS was used to analyze the constituents in EUL collected in April and August. A total of 52 compounds, including iridoids, phenylpropanoids, flavonoids, lignans, and other types of compounds were identified. The contents of nine ingredients in the tender and mature leaves of E. ulmoides were determined by HPLC-DAD analysis. The results show that the average contents of the compounds in tender leaves were significantly higher than those in mature leaves. Lastly, the antioxidant and antipancreatic lipase activities of commercial Du-Zhong tea made by leaves of different maturity were evaluated. Du-Zhong tea with d-grade exhibited relatively higher antioxidant, while C-grade exhibited greater lipase inhibitory activities.

The complete mitochondrial genome of the cocoa tussock moth Orgyia postica Walker, 1855 (Lepidoptera: Lymantriidae).

The high-throughput sequencing method was used for the first time to determined complete mitochondrial genome of Orgyia postica. The complete mitochondrial genome was a circular molecule with 15,258 bp in full-length, including 13 protein-coding genes (PCGs), 22 transfer RNA genes (tRNAs) and 2 ribosomal RNA genes (rRNAs). The nucleotide composition of O. postica mitogenome was A: 37.6%, C: 7.9%, G: 14.8%, T: 39.7%. In addition, the results of the phylogenetic analysis indicate that O. postica had the closest relationship with Laelia suffusa. Our study will contribute to further research on the evolution of Lymantriidae and the identification of larva species.

STN versus GPi deep brain stimulation for dyskinesia improvement in advanced Parkinson's disease: A meta-analysis of randomized controlled trials.

BACKGROUND: Deep brain stimulation (DBS) of the subthalamic nucleus (STN) and the globus pallidus internus (GPi) are currently the most common and effective surgical targets for advanced Parkinson's disease (APD). Herein, we conducted a meta-analysis to evaluate the comprehensive efficacy of STN-DBS and GPi-DBS in patients with APD. METHODS: We conducted a systematic search for relevant articles written in English in the Cochrane Library, PubMed, and EMBASE databases through January 2020. Studies comparing the efficacy and clinical outcomes of GPi-DBS and STN-DBS for APD were included and analyzed. RESULTS: Ten eligible trials with a total of 857 patients were included in this meta-analysis. The results showed no significant difference between the STN-DBS and GPi-DBS groups in Unified Parkinson's Disease Rating Scale (UPDRS) III scores during the on and off-medication phases(SMD, 0.1; 95 % CI, -0.04 to 0.25; p = 0.17, on-med), (SMD,-0.12;95 % CI -0.37 to 0.13, p = 0.33,off-med). Dyskinesia scores and the activities of daily living (ADLs) scores during the on-medication phase showed significant differences in favor of GPi stimulation (SMD, 0.16; 95 % CI, 0.01-0.32; P < 0.05)/(SMD, 0.18; 95 % CI, 0.01-0.34; P < 0.05). The ADLs score during the off-medication phase showed no significant difference between the STN-DBS and GPi-DBS groups (SMD, -0.11; 95 % CI, -0.32-0.11; P = 0.33). The LED showed significant differences in favor of STN stimulation (SMD, -0.57; 95 % CI, -0.74-0.40; P < 0.00001). CONCLUSIONS: Both STN and GPi-DBS were equally effective in improving motor dysfunction. STN-DBS was superior for medication reduction, whereas GPi-DBS perhaps led to less dyskinesia and improved the postoperative ADLs (on-medication) in APD patients. Hence, the goals of DBS can be important in the target selection. More studies comparing the adverse events and quality of life between the two targets are needed.

Increased photodynamic therapy sensitization in tumors using a nitric oxide-based nanoplatform with ATP-production blocking capability.

Photodynamic therapy (PDT) efficacy in cancer cells is affected by sub-physiological hypoxia caused by dysregulated and "chaotic" tumor microvasculature. However, current traditional O2-replenishing strategies are undergoing their own intrinsic deficiencies. In addition, resistance mechanisms activated during PDT also lead the present situation far from satisfactory. Methods: We propose a nitric oxide (NO)-based theranostic nanoplatform by using biocompatible poly-lactic-co-glycolic acid nanoparticles (PLGA NPs) as carriers, in which the outer polymeric layer embeds chlorin e6 (Ce6) and incorporates L-Arginine (L-Arg). This nanoplatform (L-Arg@Ce6@P NPs) can reduce hyperactive O2 metabolism of tumor cells by NO-mediated mitochondrial respiration inhibition, which should raise endogenous O2 tension to counteract hypoxia. Furthermore, NO can also hinder oxidative phosphorylation (OXPHOS) which should cause intracellular adenosine triphosphate (ATP) depletion, inhibiting tumor cells proliferation and turning cells more sensitive to PDT. Results: When the L-Arg@Ce6@P NPs accumulate in solid tumors by the enhanced permeability and retention (EPR) effect, locally released L-Arg is oxidized by the abundant H2O2 to produce NO. In vitro experiments suggest that NO can retard hypoactive O2 metabolism and save intracellular O2 for enhancing PDT efficacy under NIR light irradiation. Also, lower intracellular ATP hinders proliferation of DNA, improving PDT sensitization. PDT phototherapeutic efficacy increased by combining these two complementary strategies in vitro/in vivo. Conclusion: We show that this NO-based nanoplatform can be potentially used to alleviate hypoxia and sensitize tumor cells to amplify the efficacy of phototherapy guided by photoacoustic (PA) imaging.

Longitudinal emissions evaluation of mixed (cooperative) adaptive cruise control traffic flow and its relationship with stability.

Cooperative adaptive cruise control (CACC) vehicles need vehicle-to-vehicle (V2 V) communication to achieve CACC function. When a CACC vehicle follows a manual-driven vehicle (MDV) without V2 V communication, it needs degenerate to adaptive cruise control (ACC). By using real experiments, California PATH program indicated that ACC vehicles are apt to be unstable, which may have negative influence on fuel consumption and traffic emissions. Hence, this paper studies the impacts of the mixed CACC-MDV traffic on fuel consumption and emissions, by taking into consideration partial degenerations from stable CACC vehicles to unstable ACC vehicles. To deal with this, microscopic simulations were adopted by using car-following models. Then, an appropriate emission model was used for evaluating the emission impacts under different CACC market penetration rates (MPRs). In order to obtain reliable evaluation results, the models validated by PATH program using real experimental data were employed as the CACC and ACC car-following models. In addition, we also analytically investigated stability of the mixed traffic flow under different CACC MPRs, in order to explore its relationship with the emission impacts. The results show that the fuel consumption and emissions firstly increase and then decrease with the increase of the CACC MPR. This means the mixed traffic under some ranges of CACC MPRs will produce more fuel consumption and emissions, compared with the full MDVs traffic. It indicates that stability situations of the mixed traffic qualitatively influence the impact trend of CACC MPRs on fuel consumption and emissions. Then, V2 V communication equipments on MDVs are not only encouraging but also essential to avoid the deterioration of fuel consumption and emissions of the mixed traffic flow. IMPLICATIONS: From a novel perspective, emission impacts of mixed CACC-HDVs flow are studied by considering partial degeneration from stable CACC to unstable ACC. It showed that stability of the mixed traffic flow qualitatively influences the impact trend of emissions with respect to CACC market penetration rates (MPR). Full V2 V communication environment is essential to reduce fuel consumption and emissions in the mixed traffic flow.

Ginsenoside Rd Improves Learning and Memory Ability in APP Transgenic Mice.

Alzheimer's disease (AD) is a complicated neurodegenerative disease which causes memory loss and dementia. Many researchers have revealed the vital roles of ß-amyloid proteins (Aß) in the proceeds of AD. Aß deposition in AD patients' brains might function as immune stimulus, and inflammation is believed to play an important role in AD pathologically. We experimentally used amyloid ß-protein precursor (APP) transgenic (Tg) mice in this study to further clarify the neuroprotective effects of ginsenoside Rd on AD and its possible mechanisms. It was found that Rd could improve learning and memory ability in APP Tg mice, probably through inhibiting the transcription activity of NFκB. With the activation of the NFκB pathway being suppressed, the reduction of pro-inflammatory cytokines and the generation of protective factors had been increased ultimately. In conclusion, Rd had a neuroprotective effect on APP Tg mice, and it can be used as an alternative drug therapy in AD patients for their memory dysfunction.

Pulsed electromagnetic field enhances brain-derived neurotrophic factor expression through L-type voltage-gated calcium channel- and Erk-dependent signaling pathways in neonatal rat dorsal root ganglion neurons.

Although pulsed electromagnetic field (PEMF) exposure has been reported to promote neuronal differentiation, the mechanism is still unclear. Here, we aimed to examine the effects of PEMF exposure on brain-derived neurotrophic factor (Bdnf) mRNA expression and the correlation between the intracellular free calcium concentration ([Ca(2+)]i) and Bdnf mRNA expression in cultured dorsal root ganglion neurons (DRGNs). Exposure to 50Hz and 1mT PEMF for 2h increased the level of [Ca(2+)]i and Bdnf mRNA expression, which was found to be mediated by increased [Ca(2+)]i from Ca(2+) influx through L-type voltage-gated calcium channels (VGCCs). However, calcium mobilization was not involved in the increased [Ca(2+)]i and BDNF expression, indicating that calcium influx was one of the key factors responding to PEMF exposure. Moreover, PD098059, an extracellular signal-regulated kinase (Erk) inhibitor, strongly inhibited PEMF-dependant Erk1/2 activation and BDNF expression, indicating that Erk activation is required for PEMF-induced upregulation of BDNF expression. These findings indicated that PEMF exposure increased BDNF expression in DRGNs by activating Ca(2+)- and Erk-dependent signaling pathways.

Ginsenoside Rd attenuates beta-amyloid-induced tau phosphorylation by altering the functional balance of glycogen synthase kinase 3beta and protein phosphatase 2A.

Neurofibrillary tangles are aggregates of hyperphosphorylated tau that are one of the pathological hallmarks of Alzheimer's disease (AD). Tau phosphorylation is regulated by a balance of kinase and phosphatase activities. Our previous study has demonstrated that ginsenoside Rd, one of the principal active ingredients of Pana notoginseng, inhibits okadaic acid-induced tau phosphorylation in vivo and in vitro, but the underlying mechanism(s) is unknown. In this study, we showed that ginsenoside Rd pretreatment inhibited tau phosphorylation at multiple sites in beta-amyloid (Aß)-treated cultured cortical neurons, and in vivo in both a rat and transgenic mouse model. Ginsenoside Rd not only reduced Aß-induced increased expression of glycogen synthase kinase 3beta (GSK-3ß), the most important kinase involved in tau phosphorylation, but also inhibited its activity by enhancing and attenuating its phosphorylation at Ser9 and Tyr216, respectively. Moreover, ginsenoside Rd enhanced the activity of protein phosphatase 2A (PP-2A), a key phosphatase involved in tau dephosphorylation. Finally, an in vitro biochemical assay revealed that ginsenoside Rd directly affected GSK-3ß and PP-2A activities. Thus, our findings provide the first evidence that ginsenoside Rd attenuates Aß-induced pathological tau phosphorylation by altering the functional balance of GSK-3ß and PP-2A.