Impacts of vegetable processing and cheese making effluent on soil microbial functional diversity, community structure, and denitrification potential of land treatment systems.

IF 2.5 4区 环境科学与生态学 Q3 ENGINEERING, ENVIRONMENTAL
Geoffrey S Siemering, Francisco J Arriaga, Grace A Cagle, Joelie M Van Beek, Zachary B Freedman
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Abstract

The cheese making and vegetable processing industries generate immense volumes of high-nitrogen wastewater that is often treated at rural facilities using land applications. Laboratory incubation results showed denitrification decreased with temperature in industry facility soils but remained high in soils from agricultural sites (75% at 2.1°C). 16S rRNA, phospholipid fatty acid (PLFA), and soil respiration analyses were conducted to investigate potential soil microbiome impacts. Biotic and abiotic system factor correlations showed no clear patterns explaining the divergent denitrification rates. In all three soil types at the phylum level, Actinobacteria, Proteobacteria, and Acidobacteria dominated, whereas at the class level, Nitrososphaeria and Alphaproteobacteria dominated, similar to denitrifying systems such as wetlands, wastewater resource recovery facilities, and wastewater-irrigated agricultural systems. Results show that potential denitrification drivers vary but lay the foundation to develop a better understanding of the key factors regulating denitrification in land application systems and protect local groundwater supplies. PRACTITIONER POINTS: Incubation study denitrification rates decreased as temperatures decreased, potentially leading to groundwater contamination issues during colder months. The three most dominant phyla for all systems are Actinobacteria, Proteobacteria, and Acidobacteria. The dominant class for all systems is Nitrosphaeria (phyla Crenarchaeota). No correlation patterns between denitrification rates and system biotic and abiotic factors were observed that explained system efficiency differences.

蔬菜加工和奶酪制作废水对土壤微生物功能多样性、群落结构和土地处理系统反硝化潜力的影响。
奶酪制作业和蔬菜加工业会产生大量高氮废水,这些废水通常在农村设施中通过土地应用进行处理。实验室培养结果显示,工业设施土壤中的反硝化作用随温度升高而降低,但农业用地土壤中的反硝化作用仍然很高(2.1°C 时为 75%)。对 16S rRNA、磷脂脂肪酸 (PLFA) 和土壤呼吸进行了分析,以研究土壤微生物组的潜在影响。生物和非生物系统因子相关性表明,没有明显的模式可以解释不同的反硝化率。在所有三种土壤类型中,在门一级,放线菌、蛋白质细菌和酸性细菌占主导地位,而在类一级,亚硝化细菌和副蛋白质细菌占主导地位,这与湿地、废水资源回收设施和废水灌溉农业系统等反硝化系统类似。结果表明,潜在的反硝化驱动因素各不相同,但这为更好地了解调节土地应用系统中反硝化的关键因素和保护当地地下水供应奠定了基础。实践点:孵化研究的反硝化率随着气温的降低而降低,这可能会导致在寒冷月份出现地下水污染问题。所有系统中最主要的三个门类是放线菌、蛋白质细菌和酸性细菌。所有系统中最主要的菌类是亚硝化细菌(Crenarchaeota 门)。没有观察到反硝化速率与系统生物和非生物因素之间的相关模式可以解释系统效率的差异。
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来源期刊
Water Environment Research
Water Environment Research 环境科学-工程:环境
CiteScore
6.30
自引率
0.00%
发文量
138
审稿时长
11 months
期刊介绍: Published since 1928, Water Environment Research (WER) is an international multidisciplinary water resource management journal for the dissemination of fundamental and applied research in all scientific and technical areas related to water quality and resource recovery. WER''s goal is to foster communication and interdisciplinary research between water sciences and related fields such as environmental toxicology, agriculture, public and occupational health, microbiology, and ecology. In addition to original research articles, short communications, case studies, reviews, and perspectives are encouraged.
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