
Influence of Municipal Solid Waste Stacking on Soil Bacterial Community Structure and Function
Cheng Zhichao, Wu Wenyan, Song Yonghui, Sui Xin, Li Mengsha, Yang Libin
Influence of Municipal Solid Waste Stacking on Soil Bacterial Community Structure and Function
To explore the effect of municipal solid waste stacking on the structure, diversity and function of soil bacteria, by using the Illumina high-throughput sequencing technology, we investigated the soil bacterial community structure and function from the municipal solid waste stacking soil and the no waste stacking soil 50 m away from waste stacking soil in Shuangcheng District, Harbin. The results showed that the control group and the treatment group obtained 85435 and 76432 effective sequences, respectively; compared with the control soil, the Chao1 index of bacteria in treatment soil decreased by 14.47% and the Shannon index decreased by 15.01%; the dominant bacterial phyla of two treatment soils were Proteobacteria, Bacteroidetes, Chloroflexi, Acidobacteria, Actinobacteria, Gemmatimonadetes and Cyanobacteria, but the relative abundances were significantly different, in which Chloroflexi increased most by 7.0% and Bacteroidetes decreased most by 12.6%. The relative abundances of Bacillus and Xanthomonas were the highest. Compared with the control treatment, the relative abundance of Bacillus increased by 4.3%. The results of PICRUSt prediction showed that there were 41 KEGG secondary functional groups in the 6 metabolic pathways, of which amino acid metabolism and carbohydrate metabolism were the dominant functions of the two soil samples in the secondary functional groups. The solid waste stacking had a significant impact on the abundance of functional genes. Solid waste stacking has significant negative effect on the abundance and diversity of soil bacteria, as well as a significant effect on the relative abundance of soil bacterial communities and their function, and the study result could provide theoretical data for elucidating the soil quality after solid waste stacking.
household garbage / soil bacteria / high-throughput sequencing / PICRUSt function prediction {{custom_keyword}} /
表1 土壤样品的微生物多样性指数 |
Sample | Sobs | Shannon | Simpson | Ace | Chao1 | Coverage/% |
---|---|---|---|---|---|---|
对照 | 1921.0±136.7a | 6.2±0.1a | 0.007±0.002a | 2242.7±127.3a | 2249.3±118.3a | 98±0.00a |
处理 | 1646.3±61.78b | 5.8±0.12b | 0.012±0.003a | 1906.1±66.1b | 1923.7±92.2b | 98±0.00a |
表2 土壤细菌群落功能丰度表 |
一级功能 | 二级功能 | C | 百分比/% | T | 百分比/% | |||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Metabolism | Amino Acid Metabolism | 2854091 | 10.47 | 2331140 | 10.18 | |||||||||
Metabolism | Carbohydrate Metabolism | 2670399 | 9.80 | 2206482 | 9.64 | |||||||||
Environmental Information Processing | Membrane Transport | 2604045 | 9.56 | 2383110 | 10.41 | |||||||||
Genetic Information Processing | Replication and Repair | 2021780 | 7.42 | 1708886 | 7.46 | |||||||||
Metabolism | Energy Metabolism | 1804503 | 6.62 | 1491229 | 6.51 | |||||||||
Unclassified | Poorly Characterized | 1398465 | 5.13 | 1172485 | 5.12 | |||||||||
Genetic Information Processing | Translation | 1301802 | 4.78 | 1122984 | 4.90 | |||||||||
Metabolism | Metabolism of Cofactors and Vitamins | 1245312 | 4.57 | 1025830 | 4.48 | |||||||||
Unclassified | Cellular Processes and Signaling | 1034875 | 3.80 | 871649 | 3.81 | |||||||||
Metabolism | Lipid Metabolism | 984298 | 3.61 | 804376 | 3.51 | |||||||||
Metabolism | Nucleotide Metabolism | 925572 | 3.40 | 774079 | 3.38 | |||||||||
Cellular Processes | Cell Motility | 911201 | 3.34 | 863550 | 3.77 | |||||||||
Metabolism | Xenobiotics Biodegradation and Metabolism | 778081 | 2.86 | 593932 | 2.59 | |||||||||
Unclassified | Genetic Information Processing | 735318 | 2.70 | 615411 | 2.69 | |||||||||
Genetic Information Processing | Folding, Sorting and Degradation | 708558 | 2.60 | 616715 | 2.69 | |||||||||
Unclassified | Metabolism | 700475 | 2.57 | 570276 | 2.49 | |||||||||
Metabolism | Glycan Biosynthesis and Metabolism | 627282 | 2.30 | 536108 | 2.34 | |||||||||
Environmental Information Processing | Signal Transduction | 617938 | 2.27 | 531786 | 2.32 | |||||||||
Genetic Information Processing | Transcription | 605085 | 2.22 | 496863 | 2.17 | |||||||||
一级功能 | 二级功能 | C | 百分比/% | T | 百分比/% | |||||||||
Metabolism | Metabolism of Terpenoids and Polyketides | 580423 | 2.13 | 467502 | 2.04 | |||||||||
Metabolism | Enzyme Families | 552628 | 2.03 | 462769 | 2.02 | |||||||||
Metabolism | Metabolism of Other Amino Acids | 499610 | 1.83 | 390798 | 1.71 | |||||||||
Metabolism | Biosynthesis of Other Secondary Metabolites | 279783 | 1.03 | 227262 | 0.99 | |||||||||
Cellular Processes | Cell Growth and Death | 162926 | 0.60 | 131388 | 0.57 | |||||||||
Human Diseases | Infectious Diseases | 116452 | 0.43 | 90288 | 0.39 | |||||||||
Organismal Systems | Endocrine System | 109991 | 0.40 | 90806 | 0.40 | |||||||||
Cellular Processes | Transport and Catabolism | 89898 | 0.33 | 70245 | 0.31 | |||||||||
Human Diseases | Neurodegenerative Diseases | 86995 | 0.32 | 68964 | 0.30 | |||||||||
Environmental Information Processing | Signaling Molecules and Interaction | 46054 | 0.17 | 34673 | 0.15 | |||||||||
Organismal Systems | Environmental Adaptation | 40935 | 0.15 | 35208 | 0.15 | |||||||||
Human Diseases | Cancers | 40283 | 0.15 | 26719 | 0.12 | |||||||||
Human Diseases | Metabolic Diseases | 23895 | 0.09 | 18772 | 0.08 | |||||||||
Organismal Systems | Nervous System | 22358 | 0.08 | 17221 | 0.08 | |||||||||
Organismal Systems | Immune System | 15163 | 0.06 | 12411 | 0.05 | |||||||||
Organismal Systems | Digestive System | 13605 | 0.05 | 8702 | 0.04 | |||||||||
Organismal Systems | Circulatory System | 11550 | 0.04 | 10397 | 0.05 | |||||||||
Human Diseases | Immune System Diseases | 10862 | 0.04 | 7727 | 0.03 | |||||||||
Organismal Systems | Excretory System | 10817 | 0.04 | 8228 | 0.04 | |||||||||
Human Diseases | Cardiovascular Diseases | 4608 | 0.02 | 1683 | 0.01 | |||||||||
Cellular Processes | Cell Communication | 54 | 0.00 | 36 | 0.00 | |||||||||
Organismal Systems | Sensory System | 18 | 0.00 | 12 | 0.00 |
[1] |
黄耀民, 王亚楠, 孙英杰, 等. 短期填埋龄垃圾堆体内微生物群落结构与种群分布特征[J]. 环境科学学报, 2019,39(12):4122-4131.
{{custom_citation.content}}
{{custom_citation.annotation}}
|
[2] |
王金水. 垃圾渗滤液特点及其处理初探[J]. 低碳世界, 2016(11):12-13.
{{custom_citation.content}}
{{custom_citation.annotation}}
|
[3] |
黄幸然, 郭萍萍, 吴旺旺, 等. 模拟氮沉降增加对不同树种土壤微生物群落结构的影响[J]. 生态学杂志, 2016,35(6):1420-1426.
{{custom_citation.content}}
{{custom_citation.annotation}}
|
[4] |
夏向利, 唐和清, 杨子陆, 等. 高温微生物菌剂加速垃圾填埋场好氧稳定化进程的研究[J]. 环境工程学报, 2016,10(4):2003-2008.
{{custom_citation.content}}
{{custom_citation.annotation}}
|
[5] |
万书明, 席北斗, 李鸣晓, 等. 农村生活垃圾长期堆放对土壤硝化速率和呼吸速率的影响[J]. 东北农业大学学报, 2012,43(11):67-71.
{{custom_citation.content}}
{{custom_citation.annotation}}
|
[6] |
李永霞, 黄莹, 王宁, 等. 山东省某城市近郊生活垃圾堆场重金属污染特征与健康风险评价[J]. 环境化学, 2014,33(9):1476-1483.
{{custom_citation.content}}
{{custom_citation.annotation}}
|
[7] |
张青青, 徐冰, 李跃忠, 等. 湿垃圾好氧堆肥产品施用方式对土壤理化性状的影响[J]. 园林, 2020(7):74-79.
{{custom_citation.content}}
{{custom_citation.annotation}}
|
[8] |
旦增, 孟德安, 周文武, 等. 西藏班戈县垃圾填埋场环境影响综合分析与评价[J]. 环境工程技术学报, 2021,11(1):202-208.
{{custom_citation.content}}
{{custom_citation.annotation}}
|
[9] |
{{custom_citation.content}}
{{custom_citation.annotation}}
|
[10] |
张子赟, 何欣樾, 王明皓, 等. 城市生活垃圾堆放对土壤细菌群落结构和功能的影响[J]. 安徽农学通报, 2020,26(20):129-133.
{{custom_citation.content}}
{{custom_citation.annotation}}
|
[11] |
{{custom_citation.content}}
{{custom_citation.annotation}}
|
[12] |
{{custom_citation.content}}
{{custom_citation.annotation}}
|
[13] |
姜必亮, 王伯荪, 蓝崇钰, 等. 垃圾填埋场渗滤液灌溉对土壤微生物生物量及酶活性的影响[J]. 环境科学学报, 2001,21(01):55-59.
{{custom_citation.content}}
{{custom_citation.annotation}}
|
[14] |
王晓琳. 城市生活垃圾填埋场微生物多样性与甲烷、氨气减排研究[D]. 北京:北京林业大学, 2016.
{{custom_citation.content}}
{{custom_citation.annotation}}
|
[15] |
陈璐. 不同填埋龄生活垃圾理化特性及细菌多样性研究[D]. 青岛:青岛理工大学, 2018.
{{custom_citation.content}}
{{custom_citation.annotation}}
|
[16] |
{{custom_citation.content}}
{{custom_citation.annotation}}
|
[17] |
{{custom_citation.content}}
{{custom_citation.annotation}}
|
[18] |
王磊. 生活垃圾填埋堆体微生物分布特征及群落结构分析[D]. 北京:北京大学, 2014.
{{custom_citation.content}}
{{custom_citation.annotation}}
|
[19] |
吴双, 王磊, 夏孟婧, 等. 北京市北神树生活垃圾填埋场细菌群落结构和分布特征[J]. 应用基础与工程科学学报, 2016,24(6):1135-1146.
{{custom_citation.content}}
{{custom_citation.annotation}}
|
[20] |
何芝, 赵天涛, 邢志林, 等. 典型生活垃圾填埋场覆盖土微生物群落分析[J]. 中国环境科学, 2015,35(12):3744-3753
{{custom_citation.content}}
{{custom_citation.annotation}}
|
[21] |
文东, 张潇橦, 李文均. 绿弯菌的研究现状及展望[J]. 微生物学报, 2020,60(9):1801-1820.
{{custom_citation.content}}
{{custom_citation.annotation}}
|
[22] |
胡昱, 陈飚, 阚劼, 等. 来源于电子垃圾污染地区的重金属抗性菌株研究[J]. 韩山师范学院学报, 2016,37(3):78-83.
{{custom_citation.content}}
{{custom_citation.annotation}}
|
[23] |
Petroleum hydrocarbons are major pollutants of the marine environment. Bioremediation is a promising approach for treating such contaminated environments. The present study aims at isolating naturally occurring bacteria from the coast of Goa, India and to study their hydrocarbonoclastic capacity. Pseudomonas aeruginosa and Escherichia fergusonii were isolated from a crude oil-contaminated sediment sample using diesel oil as the sole carbon source. The capability of the enriched culture to degrade crude oil was estimated using microcosm studies under saline conditions. Based on GC-MS analysis, the culture was found to degrade n-alkanes at a higher rate compared to polyaromatic hydrocarbons. It was also found that the culture degraded alkylated polyaromatic hydrocarbons much less than unalkylated ones. Alkanes ranging from C12 to C33 were highly degraded compared to n-C34. This study shows bioremediation of crude oil in saline (3% NaCl) conditions by naturally existing bacteria isolated from the marine environment. Copyright © 2013 Elsevier Ltd. All rights reserved.
{{custom_citation.content}}
{{custom_citation.annotation}}
|
[24] |
Sulphur bioconversion in landfill cover soils, including the metabolism of sulphur-oxidizing bacteria (SOB) and sulphate-reducing bacteria (SRB), is one of the important processes affecting H2 S emission from landfills. In this study, two landfills with or without landfill gas collection and utilization system were investigated to characterize the role of biotic and abiotic factors affecting diversity and activity of SOB and SRB in the landfill cover soils. The results revealed that the potential sulphur oxidation rates (SORs) and sulphate reduction rates (SRRs) varied with landfill sites and depths. SOR was significantly correlated with pH and SO4 (2-) , while SRR was significantly related with pH. The populations of both SOB and SRB were low in the acidic landfill cover soils (pH = 4.7-5.37). Cloning and terminal restriction fragment length polymorphism profiles of soxB and dsrB showed that SOB including Halothiobacillus, Thiobacillus, Thiovirga and Bradyrhizobium, and SRB including Desulfobacca, Desulforhabdus and Syntrophobacter dominated in the landfill cover soils, and their distributions were affected mainly by pH value and organic matter contents of soils.High diversity of sulphur-oxidizing bacteria (SOB) and sulphate-reducing bacteria (SRB) presented in the landfill cover soils. Among the physicochemical properties of soils (moisture content, pH, organic materials, SO4 (2-) , acid volatile sulphide and total sulphur), pH was the most important factor affecting the diversity and activity of SOB and SRB in the landfill cover soils. Higher pH of landfill cover soils (i.e. neutral or slight alkaline) was favourable for the growth of SOB and SRB, leading to a rapid bioconversion of sulphur. These findings are helpful to optimize sulphur biotransformation in landfill cover soils and to control odour pollution at landfills.© 2014 The Society for Applied Microbiology.
{{custom_citation.content}}
{{custom_citation.annotation}}
|
[25] |
夏向利, 唐和清, 杨子陆, 等. 高温微生物菌剂加速垃圾填埋场好氧稳定化进程的研究[J]. 环境工程学报, 2016,10(4):2003-2008.
{{custom_citation.content}}
{{custom_citation.annotation}}
|
[26] |
汪欢, 郑越, 杨烨怡, 等. 湿地变形菌门甲烷氧化菌群的缺氧能量代谢[J]. 土壤学报, 2020,57(4):1008-1016.
{{custom_citation.content}}
{{custom_citation.annotation}}
|
[27] |
{{custom_citation.content}}
{{custom_citation.annotation}}
|
{{custom_ref.label}} |
{{custom_citation.content}}
{{custom_citation.annotation}}
|
/
〈 |
|
〉 |