Environmental effects and risk control of antibiotic resistance genes in the organic solid waste aerobic composting system: A review

• ARGs were detected in livestock manure, sludge, food waste and fermentation dregs. • The succession of microbial community is an important factor affecting ARGs. • Horizontal transfer mechanism of ARGs during composting should be further studied. Antibiotic resistance genes (ARGs) have been diffusely detected in several kinds of organic solid waste, such as livestock manure, sludge, antibiotic fermentation residues, and food waste, thus attracting great attention. Aerobic composting, which is an effective, harmless treatment method for organic solid waste to promote recycling, has been identified to also aid in ARG reduction. However, the effect of composting in removing ARGs from organic solid waste has recently become controversial. Thus, this article summarizes and reviews the research on ARGs in relation to composting in the past 5 years. ARGs in organic solid waste could spread in different environmental media, including soil and the atmosphere, which could widen environmental risks. However, the conventional composting technology had limited effect on ARGs removal from organic solid waste. Improved composting processes, such as hyperthermophilic temperature composting, could effectively remove ARGs, and the HGT of ARGs and the microbial communities are identified as vital influencing factors. Currently, during the composting process, ARGs were mainly affected by three response pathways, (I) “Microenvironment-ARGs”; (II) “Microenvironment-microorganisms-ARGs”; (III) “Microorganisms-horizontal gene transfer-ARGs”, respectively. Response pathway II had been studied the most which was believed that microbial community was an important factor affecting ARGs. In response pathway III, mainly believed that MGEs played an important role and paid less attention to eARGs. Further research on the role and impact of eARGs in ARGs may be considered in the future. It aims to provide support for further research on environmental risk control of ARGs in organic solid waste.     

动物粪便施肥措施促进耐药基因在粪便-土壤-蔬菜之间的散播

耐药基因（antibiotic resistant gene,ARG）在动物粪肥施用的土壤中被越来越多地检出,已经引起了人们对公共安全的担忧,但目前关于动物粪便施肥对蔬菜内生菌中耐药基因的影响尚不清楚.因此,本研究利用高通量定量PCR技术,探讨鸡粪肥施用对土壤、苦菊根和叶片中内生细菌菌群和耐药基因谱的影响.研究结果发现,鸡粪肥的施用不仅增加了土壤和苦菊根内生菌中ARG的数量,而且增加了土壤、苦菊根和叶片中内生菌的ARG丰度.相关性分析显示,土壤菌群和苦菊内生菌中ARG谱与细菌菌群组成密切相关,主要涉及变形杆菌纲、酸杆菌纲、放线菌纲和蓝藻细菌纲等细菌菌群.此外,苦菊内生菌与土壤菌群之间存在共有的ARG,表明土壤-苦菊之间存在耐药基因的内部传播.综上所述,鸡粪肥施用会通过粪便-土壤-植物路径增加蔬菜内生菌中ARG的多样性和丰度.     

电增强零价铁强化厌氧氨氧化处理高氮养猪废水

为解决ZVI(零价铁)电极表面的钝化问题,实现anammox(厌氧氨氧化)工艺稳定、高效地运行,采用EEZVI-UASB(电增强零价铁-升流式厌氧污泥床)技术处理养猪废水,研究了EEZVI电极电压、ρ(COD_Cr)及脱氮贡献率的相关性. 结果表明,在温度为(35±1)℃、pH为6.80～7.10、电极电压为0.60 V的条件下,EEZVI-UASB对NH₄+-N和NO₂--N的去除率均维持在较高的水平;NH₄+-N去除率＞90.00%,NO₂--N去除率＞96.00%,TN平均去除率>90.00%. 当EEZVI电极电压为0.60 V时,AAOB(厌氧氨氧化菌)的活性为91.10 mg/(g·d)(以NH₄+-N计);EEZVI-UASB中的优势功能菌主要为Pseudomonas属,其菌属16S rDNA的PCR扩增相似性达97%;系统中同时存在着反硝化、anammox、甲烷化等反应;其中anammox占主导作用,其对TN去除率的贡献率为54.10%~93.30%,反硝化及其他反应对TN去除率的贡献率为6.70%~45.90%.      

高效液相色谱-荧光检测法同时测定畜禽粪便中4种磺胺类药物残留

建立了高效液相色谱-荧光检测法测定畜禽粪便中4种磺胺药物(磺胺甲基嘧啶(SM1)、磺胺氯哒嗪(SCP)、磺胺邻二甲氧嘧啶(SDM’)、磺胺喹噁啉(SQ))的方法.样品用25 mL甲醇提取3次,合并提取液,浓缩干燥,用0.1 mol.L-1的HCL溶解残渣,经荧光胺衍生化后,用反相C18柱为分离柱,以乙腈∶0.5%乙酸=40∶60(V/V)为流动相进行洗脱,20 min内分离4种药物.在0.05—5.00μg.mL-1范围内,4种磺胺类药物的峰面积与质量浓度的线性关系良好(R2≥0.999),SM1、SCP、SDM’、SQ的定量限(LOQ)分别为2.3、6.3、4.3和9.6μg.kg-1;添加水平为50、100、1000μg.kg-1时,SM1、SCP、SDM’、SQ的回收率分别为74.91%—81.82%、78.45%—91.43%和86.10%—92.88%,RSD小于8.82%.     

猪场废水厌氧消化过程中的除磷效果

采用序批式半连续厌氧消化试验方法,研究猪场废水厌氧消化过程中磷的去除情况。结果表明,水力停留时间（HRT）为1、3、6和9 d的厌氧反应器平均除磷率分别为65.0%、81.1%、82.7%和83.0%,而COD平均去除率分别为54.5%、82.3%、87.0%和85.9%。厌氧反应器除磷能力随沼气产量的增加而增加,说明厌氧反应器中磷的去除与产甲烷过程密切相关。对厌氧消化前后的污泥进行浸提后发现,厌氧消化过程中,化学反应生成磷酸盐沉淀的除磷作用十分显著,污泥中正磷酸盐,与铁结合的磷化合物（Fe-RP）,还原可溶性磷,与钙、镁离子结合的磷化合物（Ca-RP、Mg-RP）以及无机或有机聚合磷增加量分别为0.027 8～0.101 5、0.013 5～0.081 0、0.2165～0.430 5、23.4～54.8和7.2～21.5 mg.g-1;且总体而言,HRT越长,污泥中与不同金属结合的磷增加量就越大。从HRT、磷和有机物的去除效果以及沼气产气速率3个方面综合考虑,猪场废水厌氧消化反应器的HRT控制在3 d为宜。     

猪粪中典型类固醇雌激素的固相萃取/GC-MS检测

以猪粪中常见且具有较大潜在危害的E1(雌酮),17α-E2(17α-雌二醇),17β-E2(17β-雌二醇)和E3(雌三醇)为研究对象,建立了猪粪中这4种典型类固醇雌激素的GC-MS(气相色谱-质谱)分析检测方法.着重优化了样品的前处理方法,包括对超声提取剂、超声提取时间、固相萃取淋洗剂、衍生化温度和时间的优化选择.结果表明:在优化的试验条件下,猪粪中的典型雌激素E1,17α-E2,17β-E2和E3检出限分别为8.0,2.5,5.1和3.3 μg/kg,平均加标回收率在92.3%～137.4%之间.      

Closing the phosphorus loop in England: The spatio-temporal balance of phosphorus capture from manure versus crop demand for fertiliser

Every year 90 million tonnes of housed livestock manures are produced in the UK. This is a valuable reservoir of global phosphorus (P) and a point in the cycle where it is vulnerable to being lost from the terrestrial system. Improved manure management for the effective reuse of phosphorus is vital to simultaneously tackle a major source of water pollution and reduce our dependence on imported fertilisers. This paper quantifies, for the first time, the spatial and temporal challenges of recycling the required amount of manure P from areas of livestock production to areas of crop production in eight regions of England. The analysis shows that England has a P deficit and therefore the capacity to fully utilise the manure P on arable land, but that uneven spatial distribution of livestock poses a significant challenge to closing the P loop in agriculture. Two of the eight regions were shown to have surplus manure P, with the remaining six regions having P deficits, indicating that an annual export of 4.7 thousand tonnes P (2.8 million tonnes manure) must take place from the west to the east of the country each year to balance P supply and demand. Moreover, housed manure production peaks between October and February, requiring an excess of 23.0 thousand tonnes P (15 million tonnes manure) to be stored until it can be used for crop fertilisation from March onwards. The results demonstrate the scale of the challenge in managing manure P in an agricultural system that has separated livestock production from crop production, a pattern that is echoed throughout the developed world. To overcome the spatial and temporal challenges, a logistical system is recommended that will balance the nutrient potential (nitrogen and P content and availability) and pollution potential (eutrophication, greenhouse gas emissions, particulates and nitrous oxide from transport) for cost-effective and environmentally compatible redistribution of manure P from areas of surplus to areas of deficit, when required.     

Modelling N mineralization from green manure and farmyard manure from a laboratory incubation study

Predicting N mineralization from organic manures like farmyard manure (FYM) is more difficult than from fresh organic materials like crop residues, as the manures vary greatly in composition. A laboratory incubation experiment was carried out for 98 days at 30 °C under aerobic conditions to study the effects on N dynamics of Gliricidia (Gliricidia sepium, Jacquin) and FYM application to soil at 5 and 10 g kg⁻¹. Application of Gliricidia induced N mineralization from the start of incubation period, with the amount of N mineralized increasing with rate of application. In contrast, application of FYM resulted in immobilization of mineral N in soil, irrespective of the rate of application. The initial net immobilization from FYM was limited by availability of N in the soil for the higher rate of application.We used the APSIM SoilN module to simulate these contrasting patterns of mineralization of N from Gliricidia and from FYM. The prediction of N mineralized from Gliricidia was better than FYM. The default model parameters specify that the fresh organic matter pools (FPOOL1, FPOOL2 and FPOOL3) have the same C:N ratio and this assumption was ineffective in predicting N mineralized from FYM. The predictive ability of the model improved when this default assumption was modified based on the size of the individual pools (FPOOL1, FPOOL2 and FPOOL3), and the pool's C:N ratios. The modelling efficiency, a measure of goodness of fit between the simulated and observed data, improved markedly for the modified model. The discrepancy between the modelled and observed data was a tendency for the model to underestimate the rate of re-mineralization at the lower rate of application of FYM in the later part of incubation. Unfortunately the appropriate modification to the size and C:N ratios of the FPOOLs could not be determined on the basis of chemical analysis alone. Thus, a true predictive application of the model to a new FYM material is not yet possible.     

Integrating soil carbon cycling with that of nitrogen and phosphorus in the watershed model SWAT: Theory and model testing

In this paper we describe and test a sub-model that integrates the cycling of carbon (C), nitrogen (N) and phosphorus (P) in the Soil Water Assessment Tool (SWAT) watershed model. The core of the sub-model is a multi-layer, one-pool soil organic carbon (S_C) algorithm, in which the decomposition rate of S_C and input rate to S_C (through decomposition and humification of residues) depend on the current size of S_C. The organic N and P fluxes are coupled to that of C and depend on the available mineral N and P, and the C:N and N:P ratios of the decomposing pools. Tillage explicitly affects the soil organic matter turnover rate through tool-specific coefficients. Unlike most models, the turnover of soil organic matter does not follow first order kinetics. Each soil layer has a specific maximum capacity to accumulate C or C saturation (S_x) that depends on texture and controls the turnover rate. It is shown in an analytical solution that S_x is a parameter with major influence in the model C dynamics. Testing with a 65-yr data set from the dryland wheat growing region in Oregon shows that the model adequately simulates the S_C dynamics in the topsoil (top 0.3 m) for three different treatments. Three key model parameters, the optimal decomposition and humification rates and a factor controlling the effect of soil moisture and temperature on the decomposition rate, showed low uncertainty as determined by generalized likelihood uncertainty estimation. Nonetheless, the parameter set that provided accurate simulations in the topsoil tended to overestimate S_C in the subsoil, suggesting that a mechanism that expresses at depth might not be represented in the current sub-model structure. The explicit integration of C, N, and P fluxes allows for a more cohesive simulation of nutrient cycling in the SWAT model. The sub-model has to be tested in forestland and rangeland in addition to agricultural land, and in diverse soils with extreme properties such high or low pH, an organic horizon, or volcanic soils.     

牛粪堆肥系统环境因子对抗性基因的影响

本研究利用实时定量PCR技术检测牛粪60 d好氧堆肥过程中典型四环素类抗性基因(tet Q、tet W、tet M、tet G、tet A和tet X)和大环内酯类抗性基因(erm35、erm36、erm B、erm F、erm T和erm X)的数量变化规律,系统研究了温度、含水率、挥发性有机质(VS)含量、碳氮比(C/N)、pH值、氧化还原电位(ORP)等堆肥系统环境因子和细菌数量(TCB)对这两类典型抗生素抗性基因的影响.结果表明,堆肥升温阶段牛粪中tet Q、tet W、tet G和tet X数量分别增加1. 7、0. 3、84. 8和4. 5倍,而tet M丰度降低了83. 1%;堆肥腐熟阶段牛粪中tet G和tet X数量分别增加23. 8和11. 5倍,而tet W、tet Q和tet M数量均降低90%.整个牛粪堆肥过程中erm35、erm36、erm B、erm F、erm T和erm X丰度分别增加2. 1、430. 4、0. 6、11. 5、2. 1和49. 1倍. RDA分析表明,牛粪堆肥过程中对四环素与大环内酯类抗性基因数量影响较大的3个环境因子分别为:ORP(54. 8%)、温度(34%)和VS(11. 3%),其中ORP与erm X和erm B、温度与tet Q和erm F以及VS与tet W数量均呈明显地正相关.