Zhao Xin-Yu, Ju Ze-Jia, Chen Hui, Fu Yu, Song Yuan-Meng, Zhao Bo, Zhang Ji-Yuan, Lu Meng-Qi, Cui Jian-Sheng, Zhang Lu-Lu
Pollution Prevention Biotechnology Laboratory of Hebei Province, School of Environmental Science and Engineering, Hebei University of Science and Technology, Shijiazhuang 050000, China.
Huan Jing Ke Xue. 2022 Sep 8;43(9):4684-4696. doi: 10.13227/j.hjkx.202112104.
Microbial communities are an important component of soil ecosystems. Long-term low content antibiotic pollution will affect the structure and function of microbial communities in soil. Therefore, Shijiazhuang City was selected as the study area, in which twelve sample points were set up in September 2020. These sample sites were divided into four areas (S1, S2, S3, and S4) according to spatial orientation. Ultra-high performance liquid chromatography-mass spectrometry (HPLC-MS/MS) was applied to determine the content of typical antibiotic-quinolones (QNs) in the soil. 16S rRNA high-throughput sequencing technology was used to study the microbial community structure and diversity in the soil. The results showed that:① the total detected contents of QNs in the four areas were S3 (313.5 μg·kg)>S4 (65.54 μg·kg)>S1 (46.19 μg·kg)>S2 (12.63 μg·kg). The content of norfloxacin (NOR) was the highest (91.99 μg·kg), whereas the content of oxolinic acid (OXO) was the lowest (0.4486 μg·kg). ② For grain size, the proportion of powder (2-50 μm) was the highest (66.7%-93.2%), whereas the proportion of clay (less than 2 μm) was the lowest (2.50%-9.10%). For physical and chemical parameters, total phosphorus (TP) and ammonia nitrogen (NH-N) showed non-significant spatial differences, whereas nitrate nitrogen (NO-N), nitrite nitrogen (NO-N), and grain size showed significant spatial differences. ③ For microbial community composition, there were six dominant bacteria phyla and five dominant bacteria genera, among which Actinobacteriota (18.3%-34.6%) and Proteobacteria (13.6%-34.1%) were the dominant bacteria phyla, and (3.24%-8.61%) and (2.93%-9.46%) were the dominant bacteria genera. The diversity results showed the highest value in the S2 area (6.48) and the lowest value in the S3 area (5.89). ④ QNs and soil physical and chemical parameters significantly changed the structural composition of microbial communities, and OXO, NO-N, and soil particle size affected the diversity of microbial communities. FLU, NH-N, NO-N, and soil particle size affected the function of the microbial community. Therefore, it is necessary to further strengthen the risk control of antibiotics in the soil of Shijiazhuang City.
微生物群落是土壤生态系统的重要组成部分。长期低含量抗生素污染会影响土壤微生物群落的结构和功能。因此，选取石家庄市作为研究区域，于2020年9月设置了12个采样点。这些采样点根据空间方位分为四个区域（S1、S2、S3和S4）。采用超高效液相色谱 - 质谱联用仪（HPLC - MS/MS）测定土壤中典型抗生素喹诺酮类（QNs）的含量。运用16S rRNA高通量测序技术研究土壤中微生物群落结构和多样性。结果表明：①四个区域QNs的总检测含量为S3（313.5 μg·kg）>S4（65.54 μg·kg）>S1（46.19 μg·kg）>S2（12.63 μg·kg）。诺氟沙星（NOR）含量最高（91.99 μg·kg），而恶喹酸（OXO）含量最低（0.4486 μg·kg）。②对于粒度，粉粒（2 - 50 μm）比例最高（66.7% - 93.2%），而黏粒（小于2 μm）比例最低（2.50% - 9.10%）。对于理化参数，总磷（TP）和氨氮（NH - N）无显著空间差异，而硝态氮（NO - N）、亚硝态氮（NO - N）和粒度存在显著空间差异。③对于微生物群落组成，有六个优势细菌门和五个优势细菌属，其中放线菌门（18.3% - 34.6%）和变形菌门（13.6% - 34.1%）是优势细菌门，[此处原文缺失两个优势细菌属的具体名称]（3.24% - 8.61%）和[此处原文缺失两个优势细菌属的具体名称]（2.93% - 9.46%）是优势细菌属。多样性结果显示S2区域最高（6.48），S3区域最低（5.89）。④QNs和土壤理化参数显著改变了微生物群落的结构组成，OXO、NO - N和土壤粒度影响了微生物群落的多样性。氟甲喹（FLU）、NH - N、NO - N和土壤粒度影响了微生物群落的功能。因此，有必要进一步加强石家庄市土壤中抗生素的风险管控。
