1
|
Liu J, He T, Yang Z, Peng S, Zhu Y, Li H, Lu D, Li Q, Feng Y, Chen K, Wei Y. Insight into the mechanism of nano-TiO 2-doped biochar in mitigating cadmium mobility in soil-pak choi system. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 916:169996. [PMID: 38224887 DOI: 10.1016/j.scitotenv.2024.169996] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/02/2023] [Revised: 12/15/2023] [Accepted: 01/05/2024] [Indexed: 01/17/2024]
Abstract
Soil cadmium (Cd) pollution poses severe threats to food security and human health. Previous studies have reported that both nanoparticles (NPs) and biochar have potential for soil Cd remediation. In this study, a composite material (BN) was synthesized using low-dose TiO2 NPs and silkworm excrement-based biochar, and the mechanism of its effect on the Cd-contaminated soil-pak choi system was investigated. The application of 0.5 % BN to the soil effectively reduced 24.8 % of diethylenetriaminepentaacetic acid (DTPA) Cd in the soil and promoted the conversion of Cd from leaching and HOAc-extractive to reducible forms. BN could improve the adsorption capacity of soil for Cd by promoting the formation of humic acid (HA) and increasing the cation exchange capacity (CEC), as well as activating the oxygen-containing functional groups such as CO and CO. BN also increased soil urease and catalase activities and improved the synergistic network among soil bacterial communities to promote soil microbial carbon (C) and nitrogen (N) cycling, thus enhancing Cd passivation. Moreover, BN increased soil biological activity-associated metabolites like T-2 Triol and altered lipid metabolism-related fatty acids, especially hexadecanoic acid and dodecanoic acid, crucial for bacterial Cd tolerance. In addition, BN inhibited Cd uptake and root-to-shoot translocation in pak choi, which ultimately decreased Cd accumulation in shoots by 51.0 %. BN significantly increased the phosphorus (P) uptake in shoots by 59.4 % by improving the soil microbial P cycling. This may serve as a beneficial strategy for pak choi to counteract Cd toxicity. These findings provide new insights into nanomaterial-doped biochar for remediation of heavy metal contamination in soil-plant systems.
Collapse
Affiliation(s)
- Jing Liu
- State Key Laboratory for Conservation and Utilization of Subtropical Agri-bioresources, Guangxi Key Laboratory for Agro-Environment and Agro-Products Safety, College of Agriculture, Guangxi University, Nanning 530005, China; State Key Laboratory of Plant Genomics, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing 100101, China
| | - Tieguang He
- Agricultural Resources and Environmental Research Institute, Guangxi Academy of Agricultural Sciences/Guangxi Key Laboratory of Arable Land Conservation, Nanning 530007, China
| | - Zhixing Yang
- State Key Laboratory for Conservation and Utilization of Subtropical Agri-bioresources, Guangxi Key Laboratory for Agro-Environment and Agro-Products Safety, College of Agriculture, Guangxi University, Nanning 530005, China; CAS Key Laboratory of Urban Environment and Health, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen 361021, China
| | - Shirui Peng
- State Key Laboratory for Conservation and Utilization of Subtropical Agri-bioresources, Guangxi Key Laboratory for Agro-Environment and Agro-Products Safety, College of Agriculture, Guangxi University, Nanning 530005, China
| | - Yanhuan Zhu
- Sino-Danish College, University of Chinese Academy of Sciences, Beijing 100049, China
| | - Hong Li
- Key Laboratory of Eco-Environment of Three Gorges Region, Ministry of Education, Chongqing University, Chongqing 400044, China
| | - Dan Lu
- State Key Laboratory for Conservation and Utilization of Subtropical Agri-bioresources, Guangxi Key Laboratory for Agro-Environment and Agro-Products Safety, College of Agriculture, Guangxi University, Nanning 530005, China
| | - Qiaoxian Li
- State Key Laboratory for Conservation and Utilization of Subtropical Agri-bioresources, Guangxi Key Laboratory for Agro-Environment and Agro-Products Safety, College of Agriculture, Guangxi University, Nanning 530005, China
| | - Yaxuan Feng
- State Key Laboratory for Conservation and Utilization of Subtropical Agri-bioresources, Guangxi Key Laboratory for Agro-Environment and Agro-Products Safety, College of Agriculture, Guangxi University, Nanning 530005, China
| | - Kuiyuan Chen
- State Key Laboratory for Conservation and Utilization of Subtropical Agri-bioresources, Guangxi Key Laboratory for Agro-Environment and Agro-Products Safety, College of Agriculture, Guangxi University, Nanning 530005, China
| | - Yanyan Wei
- State Key Laboratory for Conservation and Utilization of Subtropical Agri-bioresources, Guangxi Key Laboratory for Agro-Environment and Agro-Products Safety, College of Agriculture, Guangxi University, Nanning 530005, China.
| |
Collapse
|
2
|
Li M, Lao F, Pan X, Yuan L, Zhang D, Wu J. Insights into the mechanisms driving microbial community succession during pepper fermentation: Roles of microbial interactions and endogenous environmental changes. Food Res Int 2024; 179:114033. [PMID: 38342553 DOI: 10.1016/j.foodres.2024.114033] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/01/2023] [Revised: 01/11/2024] [Accepted: 01/15/2024] [Indexed: 02/13/2024]
Abstract
Elucidating the driving mechanism of microbial community succession during pepper fermentation contributes to establishing efficient fermentation regulation strategies. This study utilized three-generation high-throughput sequencing technology, microbial co-occurrence network analysis, and random forest analysis to reveal microbial community succession processes and driving mechanisms during pepper fermentation. The results showed that more positive correlations than negative correlations were observed among microorganisms, with positive correlation proportions of 60 %, 51.03 %, and 71.43 % between bacteria and bacteria, fungi and fungi, and bacteria and fungi in sipingtou peppers, and 69.23 %, 54.93 %, and 79.44 % in zhudachang peppers, respectively. Microbial interactions, mainly among Weissella hellenica, Lactobacillus plantarum, Hanseniaspora opuntiae, and Kazachstania humillis, could drive bacterial and fungal community succession. Notably, the bacterial community successions during the fermentation of two peppers were similar, showing the transition from Leuconostoc pseudomesenteroides, Lactococcus lactis, Weissella ghanensis to Weissella hellenica and Lactobacillus plantarum. However, the fungal community successions in the two fermented peppers differed significantly, and the differential biomarkers were Dipodascus geotrichum and Kazachstania humillis. Differences in autochthonous microbial composition and inherent constituents brought by pepper varieties resulted in different endogenous environmental changes, mainly in fructose, malic acid, and citric acid. Furthermore, endogenous environmental factors could also drive microbial community succession, with succinic acid, lactic acid, and malic acid being the main potential drivers of bacterial community succession, whereas fructose, glucose, and succinic acid were the main drivers of fungal community succession. These results will provide insights into controlling fermentation processes by raw material combinations, optimization of environmental parameters, and microbial interactions.
Collapse
Affiliation(s)
- Meilun Li
- College of Food Science and Nutritional Engineering, China Agricultural University, Beijing 100083, China; National Engineering Research Center for Fruit & Vegetable Processing, Beijing 100083, China; Key Laboratory of Fruit & Vegetable Processing, Ministry of Agriculture and Rural Affairs, Beijing 100083, China; Beijing Key Laboratory for Food Non-thermal Processing, Beijing 100083, China
| | - Fei Lao
- College of Food Science and Nutritional Engineering, China Agricultural University, Beijing 100083, China; National Engineering Research Center for Fruit & Vegetable Processing, Beijing 100083, China; Key Laboratory of Fruit & Vegetable Processing, Ministry of Agriculture and Rural Affairs, Beijing 100083, China; Beijing Key Laboratory for Food Non-thermal Processing, Beijing 100083, China
| | - Xin Pan
- College of Food Science and Nutritional Engineering, China Agricultural University, Beijing 100083, China; National Engineering Research Center for Fruit & Vegetable Processing, Beijing 100083, China; Key Laboratory of Fruit & Vegetable Processing, Ministry of Agriculture and Rural Affairs, Beijing 100083, China; Beijing Key Laboratory for Food Non-thermal Processing, Beijing 100083, China
| | - Lin Yuan
- College of Food Science and Nutritional Engineering, China Agricultural University, Beijing 100083, China; National Engineering Research Center for Fruit & Vegetable Processing, Beijing 100083, China; Key Laboratory of Fruit & Vegetable Processing, Ministry of Agriculture and Rural Affairs, Beijing 100083, China; Beijing Key Laboratory for Food Non-thermal Processing, Beijing 100083, China
| | - Donghao Zhang
- College of Food Science and Nutritional Engineering, China Agricultural University, Beijing 100083, China; National Engineering Research Center for Fruit & Vegetable Processing, Beijing 100083, China; Key Laboratory of Fruit & Vegetable Processing, Ministry of Agriculture and Rural Affairs, Beijing 100083, China; Beijing Key Laboratory for Food Non-thermal Processing, Beijing 100083, China
| | - Jihong Wu
- College of Food Science and Nutritional Engineering, China Agricultural University, Beijing 100083, China; National Engineering Research Center for Fruit & Vegetable Processing, Beijing 100083, China; Key Laboratory of Fruit & Vegetable Processing, Ministry of Agriculture and Rural Affairs, Beijing 100083, China; Beijing Key Laboratory for Food Non-thermal Processing, Beijing 100083, China.
| |
Collapse
|
3
|
Qin Z, Zhao Z, Xia L, Yu G, Miao A, Liu Y. Significant roles of core prokaryotic microbiota across soil profiles in an organic contaminated site: Insight into microbial assemblage, co-occurrence patterns, and potentially key ecological functions. ENVIRONMENTAL RESEARCH 2023; 231:116195. [PMID: 37207735 DOI: 10.1016/j.envres.2023.116195] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/30/2023] [Revised: 05/06/2023] [Accepted: 05/16/2023] [Indexed: 05/21/2023]
Abstract
Extreme environmental disturbances induced by organic contaminated sites impose serious impacts on soil microbiomes. However, our understanding of the responses of the core microbiota and its ecological roles in organic contaminated sites is limited. In this study, we took a typical organic contaminated site as an example and investigated the composition and structure, assembly mechanisms of core taxa and their roles in key ecological functions across soil profiles. Results presented that core microbiota with a considerably lower number of species (7.93%) than occasional taxa presented comparatively high relative abundances (38.04%) yet, which was mainly comprised of phyla Proteobacteria (49.21%), Actinobacteria (12.36%), Chloroflexi (10.63%), and Firmicutes (8.21%). Furthermore, core microbiota was more influenced by geographical differentiation than environmental filtering, which possessed broader niche widths and stronger phylogenetic signals for ecological preferences than occasional taxa. Null modelling suggested that stochastic processes dominated the assembly of the core taxa and maintained a stable proportion along soil depths. Core microbiota had a greater impact on microbial community stability and possessed higher functional redundancy than occasional taxa. Additionally, the structural equation model illustrated that core taxa played pivotal roles in degrading organic contaminants and maintaining key biogeochemical cycles potentially. Overall, this study deepens our knowledge of the ecology of core microbiota under complicated environmental conditions in organic contaminated sites, and provides a fundamental basis for preserving and potentially utilizing core microbiota to maintain soil health.
Collapse
Affiliation(s)
- Zhirui Qin
- Key Laboratory of Integrated Regulation and Resource Development on Shallow Lake of Ministry of Education, College of Environment, Hohai University, Nanjing, 210098, China
| | - Zhenhua Zhao
- Key Laboratory of Integrated Regulation and Resource Development on Shallow Lake of Ministry of Education, College of Environment, Hohai University, Nanjing, 210098, China
| | - Liling Xia
- Nanjing Vocational University of Industry Technology, Nanjing, 210016, China
| | - Guangwen Yu
- China National Chemical Civil Engineering Co., Ltd, Nanjing, 210031, China
| | - Aihua Miao
- China National Chemical Civil Engineering Co., Ltd, Nanjing, 210031, China
| | - Yuhong Liu
- Key Laboratory of Integrated Regulation and Resource Development on Shallow Lake of Ministry of Education, College of Environment, Hohai University, Nanjing, 210098, China.
| |
Collapse
|
4
|
Peng S, Luo M, Long D, Liu Z, Tan Q, Huang P, Shen J, Pu S. Full-length 16S rRNA gene sequencing and machine learning reveal the bacterial composition of inhalable particles from two different breeding stages in a piggery. ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY 2023; 253:114712. [PMID: 36863163 DOI: 10.1016/j.ecoenv.2023.114712] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/25/2022] [Revised: 02/15/2023] [Accepted: 02/27/2023] [Indexed: 06/18/2023]
Abstract
Bacterial loading aggravates the harm of particulate matter (PM) to public health and ecological systems, especially in operations of concentrated animal production. This study aimed to explore the characteristics and influencing factors of bacterial components of inhalable particles at a piggery. The morphology and elemental composition of coarse particles (PM10, aerodynamic diameter ≤ 10 µm) and fine particles (PM2.5, aerodynamic diameter ≤ 2.5 µm) were analyzed. Full-length 16 S rRNA sequencing technology was used to identify bacterial components according to breeding stage, particle size, and diurnal rhythm. Machine learning (ML) algorithms were used to further explore the relationship between bacteria and the environment. The results showed that the morphology of particles in the piggery differed, and the morphologies of the suspected bacterial components were elliptical deposited particles. Full-length 16 S rRNA indicated that most of the airborne bacteria in the fattening and gestation houses were bacilli. The analysis of beta diversity and difference between samples showed that the relative abundance of some bacteria in PM2.5 was significantly higher than that in PM10 at the same pig house (P < 0.01). There were significant differences in the bacterial composition of inhalable particles between the fattening and gestation houses (P < 0.01). The aggregated boosted tree (ABT) model showed that PM2.5 had a great influence on airborne bacteria among air pollutants. Fast expectation-maximization microbial source tracking (FEAST) showed that feces was a major potential source of airborne bacteria in pig houses (contribution 52.64-80.58 %). These results will provide a scientific basis for exploring the potential risks of airborne bacteria in a piggery to human and animal health.
Collapse
Affiliation(s)
- Siyi Peng
- Chongqing Academy of Animal Sciences, No. 51, Changlong Avenue, Rong chang District, Chongqing 402460, China; College of Animal Science and Technology, Southwest University, Chongqing 402460, China
| | - Min Luo
- Chongqing Academy of Animal Sciences, No. 51, Changlong Avenue, Rong chang District, Chongqing 402460, China
| | - Dingbiao Long
- Chongqing Academy of Animal Sciences, No. 51, Changlong Avenue, Rong chang District, Chongqing 402460, China; Scientific Observation and Experiment Station of Livestock Equipment Engineering in Southwest, Ministry of Agriculture and Rural Affairs, Chongqing 402460, China; Innovation and Entrepreneurship Team for Livestock Environment Control and Equipment R&D, Chongqing 402460, China; National Center of Technology Innovation for pigs, Chongqing 402460, China
| | - Zuohua Liu
- Chongqing Academy of Animal Sciences, No. 51, Changlong Avenue, Rong chang District, Chongqing 402460, China; National Center of Technology Innovation for pigs, Chongqing 402460, China; College of Animal Science and Technology, Southwest University, Chongqing 402460, China
| | - Qiong Tan
- Chongqing Academy of Animal Sciences, No. 51, Changlong Avenue, Rong chang District, Chongqing 402460, China; National Center of Technology Innovation for pigs, Chongqing 402460, China
| | - Ping Huang
- Chongqing Academy of Animal Sciences, No. 51, Changlong Avenue, Rong chang District, Chongqing 402460, China; National Center of Technology Innovation for pigs, Chongqing 402460, China
| | - Jie Shen
- Chongqing Academy of Animal Sciences, No. 51, Changlong Avenue, Rong chang District, Chongqing 402460, China; National Center of Technology Innovation for pigs, Chongqing 402460, China
| | - Shihua Pu
- Chongqing Academy of Animal Sciences, No. 51, Changlong Avenue, Rong chang District, Chongqing 402460, China; Scientific Observation and Experiment Station of Livestock Equipment Engineering in Southwest, Ministry of Agriculture and Rural Affairs, Chongqing 402460, China; Innovation and Entrepreneurship Team for Livestock Environment Control and Equipment R&D, Chongqing 402460, China; National Center of Technology Innovation for pigs, Chongqing 402460, China.
| |
Collapse
|