Analysis of Soil Bacterial Community Structure and Ecological Function Characteristics in Different Pollution Levels of Lead-zinc Tailings in Datong

A rapid rise in industrialization has led to the accumulation of copious mining waste, which has caused serious destruction of the ecological environment, resulting in severe pollution problems that need to be addressed urgently. In this study, altered soil bacterial communities in different polluted areas were analyzed using the Illumina high-throughput sequencing technique. The primary factors along with physical and chemical factors influencing the soil bacterial communities were also investigated, and the associated potential ecological functions were predicted. The results of these analyses indicated that aggravated pollution caused severe loss of tailing soil nutrients. A total of 14253 bacterial OTU was obtained from the soil samples. The total numbers of OTU in the heavily polluted area (W1), moderately polluted area (W2), lightly polluted area (W3), and clean area (CK) were 3240, 3330, 3813, and 3870, respectively. However, the soil OTUs decreased gradually with increasing pollution. In the α-diversity index analysis, the richness and evenness of the soil bacterial community were significantly decreased in the W1 group. A significant decrease in the Chao1, ACE, and Shannon indexes was also observed in the W1 group, whereas no significant difference was observed in the W3 group compared to the control. The dominant bacterial phyla identified in the soil wereβ-Actinobacteria, β-Proteobacteria, and β-Chloroflexi. Further, the relative abundance of β-Actinobacteria and β-Proteobacteria was high, whereas relative abundance of β-Chloroflexi in the W1-W3 groups was low compared to that in the control. The relative abundance of the dominant phylum in the W1 group was significantly different than that in the CK group (P<0.05). RDA showed that the soil physical and chemical properties selected in this study explained the total variation in soil bacterial community by 93.35%. Spearman analysis showed that β-Actinobacteria was negatively correlated with nitrogen source and organic matter and positively correlated with pH; β-Proteobacteria was negatively correlated with nitrogen source, phosphorus source, available potassium, and organic matter and positively correlated with total potassium and pH; and β-Chloroflexi was positively correlated with nitrogen source, phosphorus source, available potassium, and organic matter and negatively correlated with pH. Tax4 Fun was used to analyze the biological metabolic pathway. Heavy metal pollution in the soil affected the soil bacterial community and changed the main types of biological metabolism. The ecological functions of soil bacteria groups in different polluted areas were predicted by FAPROTAX. The results showed that the dominant metabolic patterns were affected by the pollution degree, and the metabolic patterns of soil bacteria in polluted areas were relatively single. The functional abundance of metabolic patterns of soil bacteria communities in CK was higher than that in polluted areas, which not only participated in degradation metabolism but also related to oxidation metabolism.

Medienart:	E-Artikel

Erscheinungsjahr:	2023
Erschienen:	2023

Enthalten in:	Zur Gesamtaufnahme - volume:44
Enthalten in:	Huan jing ke xue= Huanjing kexue - 44(2023), 7 vom: 08. Juli, Seite 4191-4200

Sprache:	Chinesisch

Beteiligte Personen:	Liu, Ze-Xun [VerfasserIn] Zhuang, Jia-Yao [VerfasserIn] Liu, Chao [VerfasserIn] Zheng, Kang [VerfasserIn] Chen, Ling [VerfasserIn]

Links:	Volltext

Themen:	2P299V784P Bacterial community structure Ecological function prediction English Abstract High-throughput sequencing J41CSQ7QDS Journal Article Lead N762921K75 Nitrogen Soil Soil physical and chemical factors Tail mining area Zinc

Anmerkungen:	Date Completed 14.07.2023 Date Revised 18.07.2023 published: Print Citation Status MEDLINE

doi:	10.13227/j.hjkx.202209160

funding:
Förderinstitution / Projekttitel:

PPN (Katalog-ID):	NLM359391257