Characteristics of Bacterial Community and Function in Paddy Soil Profile around Antimony Mine and Its Response to Antimony and Arsenic Contamination
Bibliographic Data
| ID | 15509769 |
|---|---|
| Authors | Bocong Huang (Guizhou Normal University), Jian Long (0000-0002-3221-309X, Guizhou Normal University, corresponding author), Hongkai Liao (Guizhou Normal University), Lingfei Liu (Guizhou Normal University), Juan Li (0000-0002-8639-6100, Guizhou Normal University), Jumei Zhang (0000-0003-1536-8644, Guizhou Normal University), Yirong Li (0009-0009-2809-4516, Guizhou Normal University), Xian Wang (0000-0003-1023-636X, Guizhou Normal University), Rui Yang (0000-0002-2036-0156, Guizhou Normal University) |
| Year | 2019 |
| Volume | 16 |
| Issue | 24 |
| Pages | 4883-4883 |
| Publication date | 2019-12-04 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | International Journal of Environmental Research and Public Health (JOURNAL) |
| Journal identifiers | ISSN: 1661-7827 • E-ISSN: 1660-4601 |
| Publisher | Multidisciplinary Digital Publishing Institute (PUBLISHER • CH) |
| DOI | 10.3390/ijerph16244883 |
| PMID | 31817102 |
| OpenAlex | W2992128043 |
| Language | EN |
| References cited | 62 |
Research of bacterial communities and metabolism potential of paddy soils contaminated by antimony (Sb) and arsenic (As) are vital to acquire understanding for their bioremediation. Here, the relative abundance of Sb and As metabolism genes, the diversity and composition of the bacterial community, and the influences of geochemical properties and the bacterial community and metabolism potential have been researched by Tax4Fun2 prediction and high-throughput sequencing. LEfSe (linear discriminant analysis effect size) analysis shown different taxa were enriched in dissimilar soil layers. RDA (Redundancy analysis) and relative importance analysis indicated the main properties including total sulfur (TS), total organic carbon (TOC), pH, and the bioavailable fractions of Sb and As affects the bacterial community, which Sbrec, Astot, and Asrec had greater impact on the bacterial taxonomic community. For example, Asrec, Astot, and Sbrec had a positive correlation with Chloroflexi and Rokubacteria, but negatively correlated with Proteobacteria and Actinobacteria. Obtaining metabolic function genes by using the tax prediction method. RDA, relative importance analysis, and co-occurrence network analysis showed the geochemical properties and bacterial community affected Sb and As related bacterial functions. The partial least squares path model (PLS-PM) analysis indicated Sb and As contamination fractions had negative effects on ecological function, bacterial community structure had positive influences on ecological function, and the direct effects of geochemical properties on ecological function was greater than community structure. The direct impact of As contamination fractions on bacterial community structure was greater than Sb, while the direct impact of Sb contamination fractions on bacterial function was more remarkable than As. Obviously, this study provides a scientific basis for the potential of biochemical remediation of Sb and As contamination in paddy soils profile
Arsenic · Bacteria · Biology · Bioremediation · Community structure · Contamination · Microbial population biology · Partial least squares regression · Proteobacteria · Soil contamination · Soil microbiology · Soil water · Arsenic contamination and mitigation · Chemistry · Chromium effects and bioremediation · Environmental Science · Heavy metals in environment · Ecology · Environmental Chemistry
| Citation velocity | historical |
|---|---|
| Highly cited | No |