植物水分来源稳定氢氧同位素偏移研究进展

稳定氢氧同位素技术能有效计算植物根系水分吸收量,确定植物水分来源贡献,评估植物水分利用策略,是生态水文学探究大气-植被-土壤系统水分传输过程机制的有效工具。然而土壤与木质部水稳定氢氧同位素比值(δ²H和δ¹⁸O)偏移造成植物水分来源贡献率计算偏差,引起氢氧同位素结果差异的原因尚不明晰。该文首先简要介绍氢氧稳定同位素比值偏移现象,其次沿水分在土壤-植物-大气连续体中的传输路径构建梳理框架,系统阐述了3个界面(植物-大气界面、土壤-大气界面和根系-土壤界面)与2个空间(植物体和土壤层)中引起δ²H与δ¹⁸O偏移的自然效应,同时概述了土壤与木质部样品提取与测定技术中引起δ²H与δ¹⁸O偏差的人为效应。最后,根据现有研究进展提出主要问题,从获取同位素时空数据,微尺度同位素偏移原因,提取与测定技术的优化三方面指出未来的发展方向。     

越南槐根的抗HIV活性成分研究

为研究越南槐(Sophora tonkinensis)根的抗HIV蛋白酶活性成分及其分子对接机制,采用硅胶、MCI、Sephadex LH-20等多种色谱分离方法,对越南槐根的化学成分进行分离,采用HIV蛋白酶对化合物进行体外抗HIV活性筛选,运用分子对接手段初步探究活性化合物与HIV-1蛋白酶的结合机制。结果表明,从越南槐中共分离得到8个化合物,根据波谱数据分别鉴定为三叶豆紫檀苷(1)、苦参碱(2)、N-acetylnicotinamide (3)、2′-O-甲基腺苷(4)、毛蕊异黄酮苷(5)、玫瑰花苷(6)、环广豆根素(7)、芒柄花苷(8),此外还分离得到塑化剂衍生物邻苯二甲酸二(2-乙基)己酯(9)和邻苯二甲酸二异丁酯(10)。抗HIV蛋白酶活性测试显示化合物1和2的IC50分别为13.2和38.6μg/m L,分子对接表明其与HIV蛋白酶有一定的结合作用。化合物3～5为首次从该植物中分离得到,化合物1和2显示中等的抗HIV蛋白酶活性。     

Incidence,trends, and survival of oropharyngeal squamous cell cancer in Aotearoa New Zealand, 2006–2020

BackgroundAn increasing trend of oropharyngeal cancer (OPC) has been reported in several countries with different demographic characteristics, and often attributed to increases in human papillomavirus (HPV) infection. The survival of patients with OPC has steadily improved, especially for those with positive HPV status. This study assessed the incidence, trends, and survival of OPC in Aotearoa New Zealand (NZ) by age at diagnosis, sex and ethnicity.MethodsThe study included all 2109 patients resident in NZ with a primary diagnosis of oropharyngeal squamous cell carcinoma from 2006 to 2020, identified from the National Cancer Registry. We assessed age-standardised incidence rate (ASR), annual percent change (APC) and overall and relative survival rates.ResultsThe average annual incidence of OPC was 2.2 per 100,000 population. There was a steady increase of 4.9% per year over 15 years. Although the incidence rates were higher in males over the study period, the overall rate of increase was similar in males (4.9%) and in females (4.3%). The incidence was highest in the 50–69-year group (8.8/100,000 population). This age group had an incidence that increased by 7.5% per year to 2018, and then declined. The main increase in rates was seen between the birth cohort of 1946–50 and that of 1956–60. The increase in incidence was seen in Māori and Pākehā/European populations, but no increase was seen in Pacific or Asian populations. The 5-year overall relative survival rate improved from 69% in 2006‐13 to 78% in 2014–20. Survival rates were lower in older patients, females, and Māori patients.ConclusionThis study confirmed a substantial increase in OPC incidence in NZ, with some evidence to suggest a recent slowing in this increase. Māori and Pākehā/European had the highest incidence, while Pacific and Asian populations showed the lowest rates and no increase over the study period. Survival rates have improved over time, but remained lower in some demographic groups.     

Automatic Detection of Severely and Mildly Infected COVID-19 Patients with Supervised Machine Learning Models

ObjectivesWhen the prognosis of COVID-19 disease can be detected early, the intense-pressure and loss of workforce in health-services can be partially reduced. The primary-purpose of this article is to determine the feature-dataset consisting of the routine-blood-values (RBV) and demographic-data that affect the prognosis of COVID-19. Second, by applying the feature-dataset to the supervised machine-learning (ML) models, it is to identify severely and mildly infected COVID-19 patients at the time of admission.Material and methodsThe sample of this study consists of severely (n = 192) and mildly (n = 4010) infected-patients hospitalized with the diagnosis of COVID-19 between March-September, 2021. The RBV-data measured at the time of admission and age-gender characteristics of these patients were analyzed retrospectively. For the selection of the features, the minimum-redundancy-maximum-relevance (MRMR) method, principal-components-analysis and forward-multiple-logistics-regression analyzes were used. The features set were statistically compared between mild and severe infected-patients. Then, the performances of various supervised-ML-models were compared in identifying severely and mildly infected-patients using the feature set.ResultsIn this study, 28 RBV-parameters and age-variable were found as the feature-dataset. The effect of features on the prognosis of the disease has been clinically proven. The ML-models with the highest overall-accuracy in identifying patient-groups were found respectively, as follows: local-weighted-learning (LWL)-97.86%, K-star (K*)-96.31%, Naive-Bayes (NB)-95.36% and k-nearest-neighbor (KNN)-94.05%. Also, the most successful models with the highest area-under-the-receiver-operating-characteristic-curve (AUC) values in identifying patient groups were found respectively, as follows: LWL-0.95%, K*-0.91%, NB-0.85% and KNN-0.75%.ConclusionThe findings in this article have significant a motivation for the healthcare professionals to detect at admission severely and mildly infected COVID-19 patients.     

The role of reed management and habitat quality on brood parasitism and chick survival of the brood parasitic Common Cuckoo

Despite efforts on ecosystem restoration and management, biodiversity loss remains one of the major environmental concerns of our time. Beyond the focus on threatened species, animals that indicate regional biodiversity hotspots and population trends, such as brood parasites, should also be targeted by conservation actions. We studied how reed habitat quality and management influence brood parasitism rate and offspring survival in Common Cuckoos Cuculus canorus parasitizing nests of Great Reed Warblers Acrocephalus arundinaceus in six reed habitats in an intensive agricultural landscape. Data collected from 45 sites over 13 years showed that the brood parasitism rate was highest on large canals and was positively influenced by the availability of potential perches (Cuckoo vantage points) and the height where host nests were built. Cuckoo chick survival decreased with water depth and was not affected by other factors. Our results suggest that the habitat-dependent detectability of host nests was central in brood parasitism rate and that water level was central in Cuckoo chick survival. Our study shows that a maintenance of intermediate water levels is the most optimal for maintaining Cuckoo populations in intensive agricultural landscapes. Because brood parasites are excellent bioindicators as their presence predicts regional hotspots of taxonomic and functional diversity as well as population trends in bird communities, knowledge on their habitat requirements is relevant in management targeting diverse bird communities.     

小兴安岭兴安落叶松泥炭藓沼泽植物的主要微量元素

小兴安岭兴安落叶松、泥炭藓沼泽是我国典型贫营养型沼泽。沼泽中树木生长发育不良,泥炭藓和常绿小灌木发育十分良好。这与沼泽水文状况和泥炭中营养元素和微量元素有关。各种植物的主要微量元素硼、铜、钴、锰、锌等含量不同,植物的不同器官中的含量亦不同,而且随季节而变化。狭叶杜香和甸杜的主要微量元素含量特点及其季节变化规律基本相似,两种泥炭藓相似,都与兴安落叶松有明显的区别。 本文重点探讨植物体内主要微量元素及其含量变化规律,为揭示贫营养型森林沼泽生态、为合理利用与改造沼泽提供依据。     

Prediction of habitat suitability,connectivity, and corridors in the future to conserve roe deer (Capreolus capreolus) as a locally endangered species in northern Iran

Roe deer is a protected species in Iran as its population and distribution in the country have considerably declined. Roe deer are threatened by several factors such as habitat fragmentation and road mortality, so studying their distribution and movement through the increasing habitat destruction and fragmentation is necessary. This will become increasingly important because climate change will transform the species’ future habitat and connectivity patterns. We evaluated the roe deer’s potential distribution range in northern Iran and, for the first time, developed connectivity models and designed corridors for the present and future to make better conservation plans. We collected 91 points indicating the presence of roe deer in the study region. After developing ensemble models using six species distribution algorithms, we defined high-ranked habitat cores using the concept of landscape suitability prioritization. From these, we designed connectivity and corridors in two time-frames with the help of least-cost paths and circuit theories to predict the potential movement throughout the study area. We estimated that the overall core habitats for roe deer in the present and future periods are, respectively, around 1200 km² and 2600 km², corresponding to 2 and 4 percent of the whole area. This suggests that the habitat core will expand in the future as a result of climate change. Similarly, the connectivity among the cores will strengthen. We also conclude that the temperature-driven and anthropogenic variables significantly affect the distribution of roe deer in northern Iran. It is necessary that conservationists and managers consider the designed corridors in the present study while planning conservation strategies.     

The impact of climate change on the future distribution of priority crop wild relatives in Indonesia and implications for conservation planning

The analysis of climate change impact is essential to include in conservation planning of crop wild relatives (CWR) to provide the guideline for adequate long-term protection under unpredictable future environmental conditions. These resources play an important role in sustaining the future of food security, but the evidence shows that they are threatened by climate change. The current analyses show that five taxa were predicted to have contraction of more than 30 % of their current ranges: Artocarpus sepicanus (based on RCP 4.5 in both no dispersal and unlimited dispersal scenario and RCP 8.5 in no dispersal scenario by 2050), Ficus oleifolia (RCP 4.5 5 in both no dispersal and unlimited dispersal scenario by 2080), Cocos nucifera and Dioscorea alata (RCP 8.5 in both no dispersal and unlimited dispersal scenario by 2050), and Ficus chartacea (RCP 8.5 in both no dispersal and unlimited dispersal scenario by 2050 and 2080). It shows that the climate change impact is species-specific. Representative Concentration Pathways (RCP) of greenhouse gas (GHG) emission and dispersal scenarios influence the prediction models, and the actual future distribution range of species falls in between those scenarios. Climate refugia, holdout populations, and non-analogue community assemblages were identified based on the Protected Areas (PAs) network. PAs capacity is considered an important element in implementing a conservation strategy for the priority CWR. In areas where PAs are isolated and have less possibility to build corridors to connect each other, such as in Java, unlimited dispersal scenarios are unlikely to be achieved and assisted dispersal is suggested. The holdout populations should be the priority target for the ex situ collection. Therefore, by considering the climate refugia, PAs capacity and holdout populations, the goal of keeping high genetic variations for the long-term conservation of CWR in Indonesia can be achieved.     

Circadian Motile Activity of Erythrophores in the Red Abdominal Skin of Tetra Fishes and Its Possible Significance in Chromatic Adaptation

The red abdominal skin of the neon tetra Paracheirodon innesi and the cardinal tetra P. axelrodi was found to blanch at night or in the dark. Melatonin added to the bathing medium caused blanching of the red skin. Microscopic observations of the erythrophores indicated that the erythrosomes aggregated in response to norepinephrine, melanin-concentrating hormone (MCH), and melatonin. Of these compounds, melatonin was the most effective. By contrast, many erythrophores were refractory to MCH. Alpha-melanophore-stimulating hormone, isoproterenol, adenosine, and ATP each caused dispersal of the pigment to some extent. Isoproterenol dispersed the pigment only when an alpha-adrenergic blocker, tolazoline, was present. It appears that the change in color of the abdominal skin is primarily due to increased secretion during the night of the pineal hormone melatonin, while other hormonal and nervous factors may modify the distribution of the pigment in the erythrophores.     

八段锦联合抗阻运动对老年2型糖尿病患者糖脂代谢、氧化应激及生活质量的影响

摘要 目的：探讨八段锦联合抗阻运动对老年2型糖尿病（T2DM）患者糖脂代谢、氧化应激及生活质量的影响。方法：选取2021年4月~2022年5月期间在我院接受治疗的老年T2DM患者238例。按照随机数字表法分为对照组（在常规治疗的基础上,接受抗阻运动干预,119例）和联合组（在对照组的基础上,接受八段锦干预,119例）。观察两组糖脂代谢、氧化应激及生活质量的改善情况。结果：干预12周后,联合组体质量指数、腰臀比低于对照组（P<0.05）。干预12周后,联合组空腹血糖（FBG）、餐后2 h血糖（2hPG）、糖化血红蛋白（HbAlc）低于对照组（P<0.05）。干预12周后,联合组高密度脂蛋白胆固醇（HDL-C）高于对照组（P<0.05）,低密度脂蛋白胆固醇（LDL-C）、总胆固醇（TC）、甘油三酯（TG）低于对照组。干预12周后,联合组丙二醛（MDA）低于对照组,超氧化物歧化酶（SOD）、过氧化氢酶（CAT）高于对照组（P<0.05）。干预12周后,联合组的健康调查简表（SF-36）各维度评分均高于对照组（P<0.05）。结论：八段锦联合抗阻运动用于老年T2DM患者中,可有效改善患者的氧化应激、糖脂代谢,并提高患者的生活质量。