肉鸭发酵床抗生素、重金属累积及细菌耐药性的演变特性

【目的】了解肉鸭发酵床使用过程中抗生素、各类金属元素累积特性,细菌抗生素耐受性演变特性。【方法】2011年11月至2013年7月,江苏某肉鸭发酵床养殖场饲养肉鸭期间,选取刚制作完成发酵床的鸭舍,和饲养4批次、8批次肉鸭时的鸭舍,检测发酵床中抗生素、金属元素含量,及发酵床中细菌的抗生素耐受水平。【结果】肉鸭发酵床垫料内强力霉素残留量因每批次肉鸭饲料中的使用而显著上升,氧氟沙星未现在垫料内累积。发酵床垫料饲养至8批次肉鸭时,垫料内耐受16、100μg/m L强力霉素三种可培养细菌的平均菌落数与比例为最高,而耐受8、50μg/m L氧氟沙星的平均菌落数、菌落数比例未现明显的增长趋势。发酵床使用过程中,垫料内As、Pb、Hg元素含量未显著增加,Cd元素检测量极低,Zn、Mn元素含量增加趋势明显,Cu、Cr元素累积速度缓慢。【结论】每批次使用强力霉素可在多批次肉鸭饲养后显著增加发酵床垫料中强力霉素含量,显著增强垫料中肠道菌群耐受强力霉素能力,Zn、Mn元素含量总体呈上升趋势。     

奇古菌亚硝酸盐还原酶基因相似基因的多样性

摘要:【目的】氨氧化古菌(Ammonia-oxidizing archaea,AOA)是奇古菌门中的唯一类群,广泛分布于各个生态系统中,对氮素生物地球化学循环起着重要作用。亚硝酸还原酶是反硝化作用的关键酶,目前关于AOA反硝化作用的研究较少,对AOA 亚硝酸盐还原酶基因多样性的研究有利于揭示AOA在反硝化中的作用。【方法】本研究以水体、沉积物和土壤为研究对象,构建了奇古菌样的nirK基因克隆文库,研究了这些环境中nirK相似基因的多样性。【结果】对奇古菌样的nirK基因文库及其序列分析表明:湖水及其沉积物的 nirK基因克隆文库得到10个OTUs,菜田土壤和水样则有8个OTUs;系统发育进化树表明这些nirK氨基酸序列和Candidatus Nitrosopumilus koreensis AR1,Nitrosopumilus maritimus SCM1最为相似,但相似度较低(53%－68%)。克隆文库多样性指数分析表明:所有样品都存在不同类型的nirK基因,水体样品nirK基因类型的多样性和均匀度高于土壤样品,菜田土壤的nirK基因类型多样性最高,分布最均匀。【结论】本研究表明土壤和淡水环境中奇古菌门nirK基因也具有较高的多样性,并且这些基因型与海洋样品差异非常大,这些基因编码的亚硝酸盐还原酶可能对这些环境中的反硝化作用有重要意义。     

伯克霍尔德氏菌ZYB002脂肪酶lipC24基因的克隆、表达及其酶学性质

【目的】克隆伯克霍尔德菌ZYB002菌株中的新型脂肪酶lip C24基因,测定其基本酶学性质,为后续深入研究该基因在菌株中的生理功能奠定基础。【方法】根据洋葱伯克霍尔德菌JK321菌株的全基因组DNA信息,直接设计引物从伯克霍尔德菌ZYB002菌株基因组中扩增出lip C24基因,并对之进行原核表达、重组蛋白的纯化及酶学性质分析。【结果】lip C24基因全长1317 bp,编码438个氨基酸残基;多肽链中具有保守五肽-G-X1-S-X2-G-序列;重组蛋白Lip C24的分子量为45 k Da;能有效水解各种对硝基苯酯,对中链脂肪酸的对硝基苯酯表现出偏爱性;其催化水解反应的最适温度为40℃,最适p H7.5;40℃下的半衰期为15.72 min,在p H 7.0-8.0的条件下,具有较好的稳定性。【结论】lip C24的编码产物为一个45 k Da蛋白,具有明显的脂肪酶活性,为中温中性脂肪酶。     

Highly sensitive and selective uric acid biosensor based on a three-dimensional graphene foam/indium tin oxide glass electrode

A three-dimensional (3D) continuous and interconnected network graphene foam (GF) was synthesized by chemical vapor deposition using nickel foam as a template. The morphologies of the GF were observed by scanning electron microscopy. X-ray diffraction and Raman spectroscopy were used to investigate the structure of GF. The graphene with few layers and defect free was closely coated on the backbone of the 3D nickel foam. After etching nickel, the GF was transferred onto indium tin oxide (ITO) glass, which acted as an electrode to detect uric acid using cyclic voltammetry (CV) and differential pulse voltammetry (DPV). The GF/ITO electrode showed a high sensitivity for the detection of uric acid: approximately 9.44 mA mM⁻¹ in the range of 25 nM–0.1 μM and 1.85 mA mM⁻¹ in the range of 0.1–60 μM. The limit of detection of GF/ITO electrode for uric acid is 3 nM. The GF/ITO electrode also showed a high selectivity for the detection of uric acid in the presence of ascorbic acid. This electrode will have a wide range of potential application prospects in electrochemical detection.     

Novel glyphosate-resistant aroA Gene from Paracoccus denitrificans in transgenic Arabidopsis

Applied Biochemistry and Microbiology - To date, only aroA variants derived from Agrobacterium tumefaciens CP4 have been used to generate the commercial glyphosate-resistant crops currently...     

Optimising the capacity of field trials to detect the effect of genetically modified maize on non‐target organisms through longitudinal sampling

To assess risks of cultivation of genetically modified crops (GMCs) on non‐target arthropods (NTAs), field tests are necessary to verify laboratory results and in situations where exposure pathways are very complex and cannot be reproduced in the laboratory. A central concern in the design of field trials for this purpose is whether the tests are capable of detecting differences in the abundance or activity of NTAs in a treated crop in comparison with a non‐treated comparator plot. The detection capacity of a trial depends on the abundance and variability of the taxon, the values assumed for type I (α) and II (β) errors, and the characteristics of the trial and statistical design. To determine the optimal trial layout and statistical analysis, 20 field trials carried out in Spain from 2000 to 2009 to assess risks of GMCs on NTAs were examined with α and β set at 0.05 and 0.20, respectively. In this article we aim to determine the optimal number of sampling dates during a season, or longitudinal samples, in the design of field trials for assessing effects of GM maize on NTAs, and the ones that contribute most to achieving detectable treatment effects (d_c) less than 50% of the mean of the control. Detection capacities are a function of the number of individual samples taken during the season but a high number of samples is rarely justified because gains of repeated sampling can be relatively low. These gains depend primarily on field tests relative experimental variability in individual samplings (i.e. experimental variability relative to the mean of the control in each sampling date) which in turn depends on the sampling method (visual counts, pitfall traps or yellow sticky traps) and the density (or abundance) of the taxon in question. Taxa showing more density (or abundance) have less relative experimental variability. The smaller the experimental variability, the lower the profit of increasing the number of sampling dates. Sticky traps have a good effect detection capacity and need very few sampling dates, whereas visual counts and pitfall traps have a poorer effect detection capacity and need more individual samples to achieve d_c values lower than 50%. In maize field trials, it is recommended to concentrate sampling efforts in certain growth stages; the optimal ones for achieving an acceptable detection capacity are variable but, in general, samples in the first half of the season render better detection capacity than samples in the second half.     

Resistance risk assessment for fludioxonil in Stemphylium solani

An outbreak of grey leaf spot caused by Stemphylium solani was observed on tomato in Shandong Province of China in recent years and brought huge economical losses. Fludioxonil is a phenylpyrrole fungicide with strong antifungal activity against S. solani. To evaluate the risk of S. solani developing fludioxonil resistance, a total of 145 field isolates were examined for sensitivity to fludioxonil by measuring mycelial growth. The baseline sensitivity was distributed as a unimodal curve with a mean EC₅₀ value of 0.0659 (±0.0170) µg mL^?1. Five mutants with high resistance to fludioxonil (RF > 1000) were obtained by successively selecting on fludioxonil‐amended plates in the laboratory. All the resistant mutants associated with strongly reduced fitness in mycelial growth, sporulation and pathogenicity. Fludioxonil had positive cross‐resistance with procymidone and iprodione, but there was no cross‐resistance with other fungicides including boscalid, fluazinam, azoxystrobin and flusilazole. Based on the current results, resistance risk of S. solani to fludioxonil could be moderate. This is the first report of baseline sensitivity of S. solani to fludioxonil and its risk assessment. In order to delay the resistance development, it is recommended that fludioxonil can be used as one component of the mixture or fungicides with different modes of action should be alternatively used for this disease management.