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Agriculture has reached a technological inflection point. The development of novel gene editing tools and methods for their delivery to plant cells promises to increase genome malleability and transform plant biology. Whereas gene editing is capable of making a myriad of DNA sequence modifications, its widespread adoption has been hindered by a number of factors, particularly inefficiencies in creating precise DNA sequence modifications and ineffective methods for delivering gene editing reagents to plant cells. Here, we briefly overview the principles of plant genome editing and highlight a subset of the most recent advances that promise to overcome current limitations. Municipal solid waste incineration (MSWI) is one of the leading technologies for municipal solid waste (MSW) treatment in Europe. Incineration bottom ash (IBA) is the main solid residue from MSWI, and its annual European production is about 20 million tons. The composition of IBA depends on the composition of the incinerated waste; therefore, it may contain significant amounts of ferrous and non-ferrous (NFe) metals as well as glass that can be recovered. Technologies for NFe metals recovery have emerged in IBA treatment since the 1990s and became common practice in many developed countries. Although the principles and used apparatus are nearly the same in all treatment trains, the differences in technological approaches to recovery of valuable components from IBA - with a special focus on NFe metals recovery - are summarized in this paper. From the perspective of the mechanism of soil pollution, it is difficult to explain the process of predicting the spatial distributions of soil heavy metal pollution using traditional geostatistical methods at a regional scale. Furthermore, few methods are available to proactively identify potential risk areas for preventing soil contamination. In this study, we selected 13 environmental factors related to the accumulation of soil heavy metals based on the source-sink theory. Then, the fuzzy k-means method in combination with the random forest (RF) method was used to classify potential risk areas. The concentrations and spatial distributions of the heavy metals were well predicted by RF, and the average values of the root mean square error of the prediction and R2 were 4.84 mg kg-1 and 0.57, respectively. The results indicated that the soil pH, fine particulate matter, and proximity to polluting enterprises significantly influenced the heavy metal pollution in soils, and the environmental variables varied significantly across the identified subregions. This study provides a theoretical basis for the sustainable management and control of soil pollution at the regional scale. In this study, six antibiotic resistance genes (ARGs), one mobile genetic element (int1), and their relation with microbial communities, antibiotics, and water quality were investigated in and around of an agriculturally disturbed lake, namely, Lake Honghu. The ARGs and int1 in the research area had a 100 % detection frequency in each sample during two sampling times. The ARGs were higher in the rivers and inlets than in Lake Honghu. Sul1 was the main ARG in this area. Antibiotics, nutrients, and dissolved oxygen were significantly, positively, and negatively correlated with nearly all of the ARGs, respectively. This finding suggests that reducing antibiotics and the eutrophication level could reduce the risk of ARGs. Microbial community shift had the most direct contribution to ARG variation. However, when the indirect effect was considered, environmental factors contributed 34 % to the ARGs' variance, the microbial community contributed 28 %, and their joint effect contributed 27 % to the ARG profiles. The abundance of Firmicutes, Gemmatimonadetes, Proteobacteria, etc. and their positive correlation with ARGs were significant, suggesting that these phyla probably carry ARGs. The study provides a systematic profile of ARG distribution and dissemination in a typical Chinese lake and new ideas to control this emerging contaminant in lakes. Fipronil and its degradates have been detected ubiquitously in aquatic environment worldwide, yet little is known about its bioaccumulation potential. The goal of the present study was to measure bioconcentration factor (BCF) of sediment-associated fipronil in a benthic invertebrate, Lumbriculus variegatus using passive sampling techniques. Three passive samplers including polymethyl methacrylate (PMMA) film, poly(dimethylsiloxane) fiber and polyacrylate fiber were evaluated. PMMA film was identified as the preferred method and was applied to determine fipronil log KOC (3.77 ± 0.04). BCF of sediment-associated fipronil in L. variegatus was obtained through measuring freely dissolved concentration (Cfree). Because fipronil degraded in sediment, time weighted average (TWA) Cfree was estimated for calculating BCFTWA (1855 ± 293 mL/g lipid). selleck Fipronil BCF was also measured in a water-only bioaccumulation test of L. variegatus under constant exposure condition. This BCF value (1892 ± 76 mL/g lipid) was comparable with the BCFTWA, validating effectiveness of the passive sampling method for the measurement of sediment Cfree. Fipronil was bioaccumulative in L. variegatus according to the USEPA's criteria. The combination of Cfree and TWA concentration measurements was demonstrated to properly determine BCF value for moderately hydrophobic and degradable chemicals in sediment. The removal of diclofenac sodium (DFS) from wastewater has attracted increasing attention because it is within the extensively prescribed nonsteroidal anti-inflammatory drugs and pose ecotoxicity. Therefore, fabrication of versatile adsorbents of low-cost, higher-effectiveness and excellent recyclability is significant for the treatment of DFS contaminated wastewater. This work reports a promising biobased egg albumin (ALB) hydrogel functionalized with a large density of adsorptive amine sites via polyethyleneimine (PEI). The composite ALB/PEI hydrogel demonstrated an excellent DFS removal capacity, i.e. 232.5 mg/g, in an optimum experimental condition (pH∼6; contact time∼180 min; adsorbent dosage∼0.5 g/L) which revealed to be considerably higher or competitive than many reported adsorbents. The adsorption isotherms better accorded with the Langmuir model and the kinetics with the pseudo second-order model, indicating the mono-layer chemisorption process. Besides, the regeneration steps up to four sequential adsorption/desorption cycles demonstrated an excellent reusability.

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