单细胞拉曼技术在病原微生物检测中的研究进展

单细胞拉曼技术是基于拉曼光谱分析原理实现非培养、无标签、快速、高效、低成本揭示物质本质的新方法。近年来,单细胞拉曼技术也开始在病原微生物检测领域崭露头角。本文结合单细胞拉曼技术基本原理这一理论基础,阐述该技术在病原微生物鉴定、药物敏感性检测中的研究进展及最新技术方向,并探讨其在临床实验室应用的可行性,为未来病原微生物检测技术提供新的方向。     

太子参内生细菌RPB-32的分类鉴定及其代谢物对小鼠肠道微生物群落的影响

【背景】肠道微生物在宿主肠道微环境稳态中起着至关重要的作用。众多因子,如抗生素、饮食和年龄等会干扰这种微平衡,引起菌群平衡发生改变,进而影响到机体健康状况。太子参具有心肌保护、增加免疫、抗氧化、抗糖尿病、抗应激、抗疲劳等药理活性,而太子参内生菌代谢物对肠道微生物的调控作用以及可能对机体健康的影响目前还未见报道。【目的】研究太子参内生菌RPB-32分类地位及其代谢提取物对小鼠肠道微生物的调节作用,以探讨其对机体健康的影响。【方法】对RPB-32进行传统方法和分子鉴定。将120只KM小鼠随机分为溶剂对照组(3%乙醇)及石油醚提取物、正丁醇提取物和乙酸乙酯提取物低、中、高剂量组(n=12)。小鼠灌胃处理14 d后采集粪便,通过选择性培养基培养及宏基因组测序[溶剂对照(S.F.1为3%乙醇溶液)、乙酸乙酯提取物高剂量组(S.F.2)]检测灌胃前后小鼠肠道微生物的变化。【结果】常规传统方法与分子鉴定结果表明RPB-32为芽孢杆菌(Bacillus sp.)。与空白对照组相比,给予内生菌代谢提取物的乙酸乙酯中剂量组、乙酸乙酯高剂量组、正丁醇低剂量组、正丁醇中剂量组及正丁醇高剂量组乳酸菌数量明显增加,正丁醇中剂量组的肠球菌和正丁醇高剂量组的肠杆菌数量明显减少。S.F.2与S.F.1基于门、属和种水平上的微生物群落结构相比表明:S.F.2的拟杆菌门(Bacteroidetes)数量明显增加,而厚壁菌门(Firmicutes)数量明显减少;S.F.2的Bacteroides、Prevotella、Parabacteroides、Akkermansia、Helicobacter、Butyricimonas、Alistipes、Ruminococcus、Muribaculum、Barnesiella、Odoribacter、Azospirillum、Mucispirillum和Lactobacillus数量明显增多,Rikenella、Angelakisella、Clostridium、Oscillibacter、Pseudoflavonifractor、Flavonifractor、Mailhella、Desulfovibrio、Faecalibacterium、Eubacterium、Lachnoclostridium、Hungatella、Butyrivibrio、Blautia、Dorea、Ruminiclostridium、Roseburia、Anaerotruncus和Butyricicoccus等数量减少;S.F.2的Bacteroides sartorii、Bacteroides caecimuris、Bacteroides uniformis、Parabacteroides chinchillae、Parabacteroides glodsteinii、Helicobacter bilis、Bacteroides fragilis、Bacteroides vulgatus、Bacteroides thetaiotaomicron和Butyricimonas virosa等数量明显增多,Faecalibacterium prausnitzii、Rikenella microfusus、Flavonifractor plautii、Mailhella massiliensis和Clostridium clostridioforme等数量减少。【结论】初步判断太子参内生芽孢杆菌RPB-32代谢物(BM)对肠道微生物组成有明显影响,可能对机体糖脂降解、抗感染和抗炎等方面有改善作用。     

海洋动物来源微生物的共培养研究进展

近年来,由于一些新疾病的发生和细菌耐药性的出现,微生物来源次级代谢产物的筛选重复率越来越高,微生物一些代谢基因在现有实验室条件下无法表达,所以需要发现新的微生物资源,同时找到激活微生物代谢产物基因的方法。海洋动物体内蕴含着大量的共附生微生物资源,可以产生很多具有生物活性的化合物,是潜在的药用资源。本文综述了近年来海洋动物(海鞘、海绵、珊瑚和海葵等)来源的微生物进行共培养的研究策略,包括共培养菌株的选择、共培养条件、群体感应和信号分子对共培养菌株的影响,以及不同种类微生物间的共培养实例。共培养与单培养相比,增加了次级代谢产物的种类,提高了次级代谢产物的生物活性或产量。共培养的研究有助于发现新的海洋动物来源微生物的活性天然产物,为海洋药物的开发提供新思路。     

黄河三角洲滨海湿地微生物多样性及其驱动因子

微生物在湿地的生物地球化学循环和生态功能调节中发挥着重要作用,对全球气候变化具有重大影响,对维持全球生态系统的健康至关重要。以黄河三角洲滨海湿地为研究对象,通过采集代表性植被群落的土壤表层和部分植物根系,探究土壤微生物群落组成、根际微生物、环境因子及其内在的关联性和影响机制。研究结果表明不同植被覆盖地区微生物多样性存在差异,芦苇区和柽柳区微生物丰度高于泥滩区、碱蓬区和棉田,海漫滩微生物丰度高于河漫滩地和泥滩。土壤微生物菌群结构和多样性显著高于根际：土壤细菌的香农指数约为4-5.5,根际微生物的香农指数约为0-4。土壤细菌主要为厚壁菌门、变形菌门、拟杆菌门和放线菌门,占样品总数的90%以上;而根际细菌主要是蓝藻门、变形菌门和放线菌门,二者在属水平上的菌群结构差异更加明显。环境因子的含量与生境类型有关,SO₄^2-和NO₃^-的相关性最高,植被覆盖区土壤中Mn⁴⁺、Fe³⁺和水解氮的含量低于滩涂裸地。冗余分析（RDA）表明,pH值在小空间尺度上对湿地土壤中细菌群落的影响较小,环境因子在门和属水平的解释率分别为89.7%和86.8%,其中K（23.4%）、NO₂^-（11.8%）、Mn⁴⁺（9.8%）和Na（8.0%）是解释门水平微生物区系结构变化和组成的主要因子。研究为理解湿地微生物多样性与湿地生态系统功能之间的影响机制提供了一个生态学视角,有助于了解黄河三角洲滨海湿地土壤和植物根际的细菌分布特征,对黄河三角洲退化滨海湿地的生物修复具有重要的指导意义。     

植物根系分泌物在污染及沙化土壤修复中的应用现状与前景

近年来重金属污染等生态环境问题日益受到重视,而物理、化学修复方法存在的诸如成本高、二次污染等问题,使得利用植物、微生物等进行联合治理成为环境修复的重要手段。植物根系分泌物作为植物与土壤进行营养和信息交流的重要媒介,不但对植物的生长具有重要作用,其在污染及沙化土壤修复中作用的研究也得以广泛开展。本文对根系分泌物的组成、分泌机制进行了阐述,并对其在植物吸收重金属、化感作用、植物根系与根际微生物互作、改变土壤理化性质等过程中的作用及机理进行了总结。此外,本文还对利用根系分泌物和根际微生物在生态环境治理中的应用现状、面临的难题及未来的发展等进行了讨论。希望本文可为基于植物与微生物进行的环境修复技术的实际应用提供理论支撑。     

微生物种间直接电子传递研究进展

一直以来氢气和甲酸被认为是微生物间电子传递的中间电子传递体。近年来的研究发现,微生物之间可以通过种间直接电子传递(DIET)来替代氢气/甲酸传递。DIET作为一种新发现的微生物间电子传递途径,其电子传递效率要高于传统的种间氢气/甲酸传递。DIET这一新发现改变了微生物互营生长代谢必须依赖氢气或甲酸等电子载体的传统认识,为今后研究微生物互营现象打开了新视角。虽然DIET研究取得了很大进展,但是目前对能够进行DIET的微生物种类、DIET机制及影响DIET的因素尚缺乏深入研究。本文首先概述了能形成DIET的微生物,然后重点分析了能够进行DIET的电子供体微生物胞外电子传递的机制和电子受体微生物直接利用胞外电子的分子机制,最后阐述了导电材料对DIET的影响,并提出了DIET今后的研究方向,旨在为DIET研究提供参考。     

Major depressive disorder diagnosis based on effective connectivity in EEG signals: a convolutional neural network and long short-term memory approach

Deep learning techniques have recently made considerable advances in the field of artificial intelligence. These methodologies can assist psychologists in early diagnosis of mental disorders and preventing severe trauma. Major Depression Disorder (MDD) is a common and serious medical condition whose exact manifestations are not fully understood. So, early discovery of MDD patients helps to cure or limit the adverse effects. Electroencephalogram (EEG) is prominently used to study brain diseases such as MDD due to having high temporal resolution information, and being a noninvasive, inexpensive and portable method. This paper has proposed an EEG-based deep learning framework that automatically discriminates MDD patients from healthy controls. First, the relationships among EEG channels in the form of effective brain connectivity analysis are extracted by Generalized Partial Directed Coherence (GPDC) and Direct directed transfer function (dDTF) methods. A novel combination of sixteen connectivity methods (GPDC and dDTF in eight frequency bands) was used to construct an image for each individual. Finally, the constructed images of EEG signals are applied to the five different deep learning architectures. The first and second algorithms were based on one and two-dimensional convolutional neural network (1DCNN–2DCNN). The third method is based on long short-term memory (LSTM) model, while the fourth and fifth algorithms utilized a combination of CNN with LSTM model namely, 1DCNN-LSTM and 2DCNN-LSTM. The proposed deep learning architectures automatically learn patterns in the constructed image of the EEG signals. The efficiency of the proposed algorithms is evaluated on resting state EEG data obtained from 30 healthy subjects and 34 MDD patients. The experiments show that the 1DCNN-LSTM applied on constructed image of effective connectivity achieves best results with accuracy of 99.24% due to specific architecture which captures the presence of spatial and temporal relations in the brain connectivity. The proposed method as a diagnostic tool is able to help clinicians for diagnosing the MDD patients for early diagnosis and treatment.     

干旱对不同花椒种植模式下土壤微生物和线虫群落的影响

随着全球气候变暖, 我国岷江上游干旱区面积呈现增加的趋势。花椒(Zanthoxylum bungeanum)是岷江上游重要的经济树种之一, 对当地经济和社会发展起着重要作用, 提高花椒生态系统应对干旱干扰已成为迫切的问题。本研究设置了花椒单作、花椒-苜蓿(Medicago sativa)间作和花椒-大豆(Glycine max)间作3种种植模式, 在2015年8月对每种种植模式模拟干旱30 d, 每种种植模式包括干旱和对照处理, 在模拟干旱结束后、恢复15 d、30 d和45 d后分别采集土壤样品, 分析土壤化学性质、土壤微生物和线虫群落, 以探究花椒林下豆科植物能否缓和干旱的遗留效应对土壤化学性质和土壤生物的影响。重复测量方差分析表明: 在花椒单作模式下, 干旱恢复45 d后土壤硝态氮含量显著高于对照, 微生物量和真菌/细菌比与对照无显著差异, 线虫密度与对照无显著差异, 但线虫功能团没有恢复到对照水平; 在花椒-苜蓿间作模式下, 干旱恢复45 d后土壤含水量、铵态氮、硝态氮、溶解性有机碳、溶解性有机氮、微生物量、真菌/细菌比、线虫密度和线虫功能团组成与对照无显著差异, 但植食性线虫属Boleodorus相对多度显著高于对照; 在花椒-大豆间作模式下, 干旱恢复45 d后土壤含水量、铵态氮、硝态氮、溶解性有机碳、溶解性有机氮、微生物量和真菌/细菌比与对照无显著差异, 但线虫密度和功能团组成与对照有显著差异。在3种花椒种植模式中, 花椒-苜蓿间作模式下干旱的遗留效应对土壤养分和生物的影响最小。因此, 在干旱背景下, 花椒林下间作豆科植物可以加快土壤养分、土壤微生物和线虫群落的恢复, 进而有利于目标作物生长。     

Effects of temperature on the development and reproduction of sugarcane top borer Scirpophaga excerptalis (Lepidoptera: Pyralidae)

To determine the effects of temperature on the development and reproduction of top borer Scirpophaga excerptalis Walker (Lepidoptera: Pyralidae), the durations of different developmental stages and reproductive capacity of S. excerptalis were measured at 20, 23, 26, 29 and 32℃. The results showed that the average durations of various developmental stages of S. excerptalis shortened with increasing temperatures from 20 to 32℃. The durations to complete one life cycle were 113.17 days at 20℃, and 39.50 days at 32℃. The developmental rate of each stage and generation was positively correlated with the temperature, which was consistent with the Logistic regression model. The temperature thresholds for egg, larval, pupal and preoviposition stages and the total cycle were 13.73, 14.73, 13.91, 13.66 and 14.10℃, respectively. The effective accumulative temperature was 112.62, 370.01, 188.17, 23.82 and 718.07 degree-days (DD), respectively. The adult longevity shortened with increasing temperatures, and the highest number of eggs laid per female was 204.74 eggs at 29℃. The survival rates of eggs, larvae and the whole generation were the highest at 26℃, which were 87.25%, 56.67% and 37.21%, respectively while the highest survival rate of the pupa was 76.69% at 29℃. There was no significant difference for the total cycle at 23-29℃. The results indicated that temperature was the key factor affecting the development and reproduction of S. excerptalis, and the optimum temperature for development and reproduction ranged from 23 to 29℃.     

Eye lens and thyroid gland radiation exposure for patients undergoing brain computed tomography examination

This study aims to estimate the effective radiation dose and organ dose from head CT procedures. It was conducted in three main private hospitals in Khartoum State-Sudan, using Toshiba machines with 64 slices. The total number of patients included in this study was 142 patients (82 males and 60 females). The effective dose and organ dose were calculated by CT Expo software. The effective dose slightly varied among patients according to gender and age. The effective dose for female patients (5.99 mSv) was higher than that for male patients (5.84 mSv), and the pediatric dose (5.46 mSv) was lower than the adults’ dose (5.94 mSv).The dose for eye lens was found lower for male patients (89.117 mSv) than the dose for female patients (94.62) mSv). According to patients’ age: the dose received by the lens of the eye was much lower in pediatric (79.93 mSv) than the adults (92.41 mSv). The dose for thyroid in female patients (33.52 mSv) was higher than the male patients (28 mSv). The pediatric dose (28.34 mSv) was lower than the adults’ dose (30.64 mSv).Departmental imaging protocol and lack of training among hospital staff are expected to be responsible for these variations. Therefore, this study recommends that the CT technologists be trained on suitable strategies to achieve dose optimization. Moreover, patients’ doses must be monitored regularly.