Method for accurate diagnose of lupus erythematosus skin lesions based on microbial rDNA sequencing

This study used microbial rDNA sequencing for accurate detection of systemic lupus erythematosus (SLE) skin lesions. 20 lupus erythematosus dermatology patients and 20 healthy persons were selected as experimental group and control group. Feces and serum of the subjects were sampled in sterile environment. Serum samples were examined for anti dsDNA antibodies. Fecal samples were analyzed by 16 s rDNA high-throughput sequencing, using Illumina MiSeq 2 × 250 sequencing platform. The results suggested that positive rate of anti-dsDNA antibody in serum was significantly higher in the experimental group than the control group. Significant difference of intestinal microbiome was spotted between the two groups in phylum (Firmicutes, Bacteroidetes) and genus level (Lactobacillus, Allobaculum, Lachnospira, Turicibacter, Bifidobacterium). The different intestinal microbiomes existing in healthy people and patients can provide a strong tool for accurate diagnose of lupus erythematosus.     

2种不同器械扩锉后根管壁的细菌学研究

目的通过对临床病例的研究,比较减速镍钛机扩和普通不锈钢K型锉清洁根管的能力。方法选取临床需要根管治疗的患牙60例,随机分为2组,经开髓拨髓后分别用镍钛减速机扩和不锈钢K型及H型锉进行根管预备,预备完成后用灭菌棉捻擦拭管壁,作微生物检查。结果2组方法扩锉后对根管内微生物的变化做统计学分析,差异有显著性(P<0.05)。结论镍钛减速机扩对根管的清洁能力高于普通不锈钢扩锉,值得临床的推广。     

Flux analysis and metabolomics for systematic metabolic engineering of microorganisms

Rational engineering of metabolism is important for bio-production using microorganisms. Metabolic design based on in silico simulations and experimental validation of the metabolic state in the engineered strain helps in accomplishing systematic metabolic engineering. Flux balance analysis (FBA) is a method for the prediction of metabolic phenotype, and many applications have been developed using FBA to design metabolic networks. Elementary mode analysis (EMA) and ensemble modeling techniques are also useful tools for in silico strain design. The metabolome and flux distribution of the metabolic pathways enable us to evaluate the metabolic state and provide useful clues to improve target productivity. Here, we reviewed several computational applications for metabolic engineering by using genome-scale metabolic models of microorganisms. We also discussed the recent progress made in the field of metabolomics and ¹³C-metabolic flux analysis techniques, and reviewed these applications pertaining to bio-production development. Because these in silico or experimental approaches have their respective advantages and disadvantages, the combined usage of these methods is complementary and effective for metabolic engineering.     

微生物生物技术处理气态污染物的研究进展

近年来大气污染问题愈发突出,工业生产过程是大气污染的一重要源头。微生物法治理制造工业生产中产生的挥发性有机物、恶臭气体、硫化物、氮氧化物等气态污染物以效率高、投资少、绿色且环境友好等优势逐渐在国内兴起,广受关注。本文综述了微生物法的基本理论、技术分类及特点、应用范围,以及国内外较新的研究方向与进展。微生物法净化低浓度污染物效率往往很高,而处理难溶、高浓度、生物毒性、难降解的污染物时易受到局限。专家学者们对此进行了大量研究与实验,创新出的高效技术进行总结。本文认为减少传质阻力方法的应用、与其他处理技术联用、清晰微生物降解机理与途径等是提高微生物法效率的重要方向。但提及的大部分强化手段仍处于实验研究阶段,使其工业化仍需要进一步探索。     

大型浅水湖泊鄱阳湖湿地微生物的研究现状

鄱阳湖是我国第一大淡水湖泊,同时也是一个典型的季节性通江浅水湖泊,独特的水文特征和多样的湿地景观类型形成了复杂多样的微生物群落。本文综述了鄱阳湖水文节律、营养盐及重金属含量对湖泊微生物群落组成的影响,以及水位高程和湿地围垦对鄱阳湖湿地土壤微生物分布特征的影响,同时还探讨了未来湖泊湿地微生物的研究方向和鄱阳湖所拥有的独特研究条件,以期为未来湖泊微生物研究提供重要参考。     

城市生活垃圾堆肥发酵中微生物菌群变化规律的研究

通过对垃圾处理厂静态堆肥不同区域的微生物菌群与数量的分析,表明了城市生活垃圾堆肥发酵中微生物菌群的变化规律,温度与微生物菌群的相关性,指出了高温微生物菌群数量影响堆肥的效率。建议在静态一次堆肥发酵周期中,增加通气量和翻堆频率,有利于增强微生物菌群的活力和提高堆肥质量。     

生物修复的研究和应用现状及发展前景

综述了生物修复的研究和应用现状及发展前景。内容涉及生物修复的研究方法和手段、生物修复在土壤和水体中的应用、生物修复的发展前景等。     

微生物介导的金纳米颗粒合成

金纳米颗粒凭借其独特的光学和电化学特性,广泛应用于信息存储、化学传感、医学成像、药物传输以及生物标记等领域。近年来,生物法合成金纳米颗粒因其环境友好、绿色低毒等特点引起研究者的广泛关注。研究表明,多种微生物包括细菌、放线菌、真菌和病毒等均具有合成金纳米颗粒的能力。本文综述了微生物介导合成金纳米颗粒的特性、机制及应用,并对未来发展趋势进行了展望。     

土壤微生物与根系呼吸作用影响因子分析

土壤呼吸作用作为陆地生态系统碳循环的重要组成部分,是当前碳循环研究中的热点问题.对于土壤呼吸作用主要组成部分土壤微生物呼吸作用和根系呼吸作用影响因子的研究,有助于准确地评估全球碳收支.本文从气候、土壤、植被及地表覆被物、大气CO₂浓度、人为干扰等方面综述了土壤微生物呼吸作用和根系呼吸作用的主导影响因子,指出这些影响因子不仅直接或间接地影响土壤微生物呼吸作用和根系呼吸作用,而且它们之间相互作用、相互影响,且各影响因子的地位和作用会随时空尺度变化发生相应改变.在此基础上,论文提出了未来土壤呼吸作用的研究重点.