Structure of plant photosystem I−light harvesting complex I supercomplex at 2.4 Å resolution

Photosystem I (PSI) is one of the two photosystems in photosynthesis, and performs a series of electron transfer reactions leading to the reduction of ferredoxin. In higher plants, PSI is surrounded by four light-harvesting complex I (LHCI) subunits, which harvest and transfer energy efficiently to the PSI core. The crystal structure of PSI-LHCI supercomplex has been analyzed up to 2.6 Å resolution, providing much information on the arrangement of proteins and cofactors in this complicated supercomplex. Here we have optimized crystallization conditions, and analyzed the crystal structure of PSI-LHCI at 2.4 Å resolution. Our structure showed some shift of the LHCI, especially the Lhca4 subunit, away from the PSI core, suggesting the indirect connection and inefficiency of energy transfer from this Lhca subunit to the PSI core. We identified five new lipids in the structure, most of them are located in the gap region between the Lhca subunits and the PSI core. These lipid molecules may play important roles in binding of the Lhca subunits to the core, as well as in the assembly of the supercomplex. The present results thus provide novel information for the elucidation of the mechanisms for the light-energy harvesting, transfer and assembly of this supercomplex.     

Longitudinal virological changes and underlying pathogenesis in hospitalized COVID-19 patients in Guangzhou,China

Science China Life Sciences - Prolonged viral RNA shedding and recurrence of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) in coronavirus disease 2019 (COVID-19) patients have been...     

A botanical medicine dragon’s blood exhibited clinical antithrombosis efficacy similar to low molecular weight heparin

Deep vein thrombosis(DVT) is a common complication following traumatic fracture with a 0.5%–1% annual incidence. Low molecular weight heparin(LMWH) is the most commonly used anticoagulation drug for DVT prevention, but treatment with LMWH is invasive. Our aim is to compare the antithrombotic effect of dragon's blood, an oral botanical anticoagulant medicine approved by the Chinese FDA, with LMWH in patients undergoing hip fracture surgery and to explore the molecular mechanisms of anticoagulation treatment. Our study recruited patients and divided them into LMWH and dragon's blood treatment group. Coagulation index tests, Doppler ultrasound and m RNA sequencing were performed before and after anticoagulation therapy. There was no significant difference in postoperative DVT incidence between the two groups(23.1% versus 15.4%,P=0.694). D-dimer(D-D) and fibrinogen degradation product(FDP) showed significant reductions in both groups after anticoagulation treatments. We identified SLC4 A1, PROS1, PRKAR2 B and seven other genes as being differentially expressed during anticoagulation therapy in both groups. Genes correlated with coagulation indexes were also identified. Dragon's blood and LMWH showed similar effects on DVT and produced similar gene expression changes in patients undergoing hip fracture surgery, indicating that dragon's blood is a more convenient antithrombosis medicine(oral) than LMWH(hypodermic injection).     

The effect of temperature changes and K supply on the reproduction and growth of Bolboschoenus planiculmis

温度变化和钾添加对扁秆藨草生长及繁殖的影响 人类活动导致的气候变暖和农业面源污染已被认为是影响湿地植物生长和繁殖的重要因素。为了预 测和缓解这些人类活动的影响,研究沼泽植物如何响应这些环境变化具有重要意义。本研究选取在欧亚 大陆广泛分布的莎草科球茎植物扁秆藨草(Bolboschoenus planiculmis)为研究对象,考察气温变化(恒温： 15、20、25 °C及交替温度：20/10和30/15 °C)和钾添加(0、1、3、9 和18 mmol/L)对其生长和繁殖性状 的影响。研究结果表明,高的恒温(20、25 °C)比高的交替温度(30/15 °C)更有利于扁秆藨草球茎的形成, 而地上生物量和株高一般在较高温度下(30/15、25 °C)达到最大值。扁秆藨草的繁殖和生长性状均与施钾量 呈驼峰型关系,最适施钾量在1–3 mmol/L K。高恒温效应和最适钾浓度的交互作用对繁殖性状的促进作 用最大,但是,较高的温度(30/15和25 °C)和0–9 mmol/L的钾浓度只促进了生长性状的生长。综上所述, 扁秆藨草的种群优势度可能受益于全球变暖和额外的钾添加。     

Effects of pulse precipitation on soil organic matter mineralization in forests: spatial variation and controlling factors

脉冲降水对森林中土壤有机物矿化的影响：空间变化和控制因素 降水脉冲效应使土壤有机物在短时间内迅速分解并释放大量CO₂到大气中。降水脉冲效应对生态系统的碳循环和土壤碳平衡的研究具有十分重要的意义,但它在森林土壤中的空间变化和基本机制仍不清楚。我们采集中国东部22个典型森林生态系统的土壤样品(0–10cm),研究模拟脉冲降水对土壤微生物呼吸速率的影响。模拟降水脉冲使土壤样品达到65%饱和含水量,以分钟为单位测量R_s,持续48 小时。研究结果显示,降水脉冲可以使微生物呼吸速率迅速增加1.70–38.12倍。微生物最大呼吸速率 (R_s-soil-max)、碳释放总量R_s (A_Rs-soil)和达到呼吸峰值的时间(T_Rs-soil-max)在不同的土壤中存在显著差异。此外,不同 气候区的脉冲效应也有明显不同。中温带的R_s-soil-max (11.701 µg C g⁻¹ soil h⁻¹)和A_Rs-soil (300.712 µg C g⁻¹ soil)最高。土壤化学特性(总碳和总氮、pH值和氧化还原电位)和土壤粒径与森林土壤的脉冲效应密切相关,但土壤微生物的贡献较小。我们的研究结果表明,在大尺度范围内,脉冲变化短期内增加森林土壤中CO₂的排放,并揭示了对这种变化影响最大的因素。这些发现为未来对森林生态系统的碳循环和调节全球生态系统碳循环的研究提供科学数据支持。     

Microbial Interaction Network Estimation via Bias-Corrected Graphical Lasso

With the increasing availability of microbiome 16S data, network estimation has become a useful approach to studying the interactions between microbial taxa. Network estimation on a set of variables is frequently explored using graphical models, in which the relationship between two variables is modeled via their conditional dependency given the other variables. Various methods for sparse inverse covariance estimation have been proposed to estimate graphical models in the high-dimensional setting, including graphical lasso. However, current methods do not address the compositional count nature of microbiome data, where abundances of microbial taxa are not directly measured, but are reflected by the observed counts in an error-prone manner. Adding to the challenge is that the sum of the counts within each sample, termed “sequencing depth,” is an experimental technicality that carries no biological information but can vary drastically across samples. To address these issues, we develop a new approach to network estimation, called BC-GLASSO (bias-corrected graphical lasso), which models the microbiome data using a logistic normal multinomial distribution with the sequencing depths explicitly incorporated, corrects the bias of the naive empirical covariance estimator arising from the heterogeneity in sequencing depths, and builds the inverse covariance estimator via graphical lasso. We demonstrate the advantage of BC-GLASSO over current approaches to microbial interaction network estimation under a variety of simulation scenarios. We also illustrate the efficacy of our method in an application to a human microbiome data set.