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Zhao Z, Gao B, Yang C, Wu Y, Sun C, Jiménez N, Zheng L, Huang F, Ren Z, Yu Z, Yu C, Zhang J, Cai M. Stimulating the biofilm formation of Bacillus populations to mitigate soil antibiotic resistome during insect fertilizer application. ENVIRONMENT INTERNATIONAL 2024; 190:108831. [PMID: 38936065 DOI: 10.1016/j.envint.2024.108831] [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: 02/22/2024] [Revised: 05/16/2024] [Accepted: 06/17/2024] [Indexed: 06/29/2024]
Abstract
Antibiotic resistance in soil introduced by organic fertilizer application pose a globally recognized threat to human health. Insect organic fertilizer may be a promising alternative due to its low antibiotic resistance. However, it is not yet clear how to regulate soil microbes to reduce antibiotic resistance in organic fertilizer agricultural application. In this study, we investigated soil microbes and antibiotic resistome under black soldier fly organic fertilizer (BOF) application in pot and field systems. Our study shows that BOF could stimulate ARB (antibiotic resistant - bacteria) - suppressive Bacillaceae in the soil microbiome and reduce antibiotic resistome. The carbohydrate transport and metabolism pathway of soil Bacillaceae was strengthened, which accelerated the synthesis and transport of polysaccharides to form biofilm to antagonistic soil ARB, and thus reduced the antibiotic resistance. We further tested the ARB - suppressive Bacillus spp. in a microcosm assay, which resulted in a significant decrease in the presence of ARGs and ARB together with higher abundance in key biofilm formation gene (epsA). This knowledge might help to the development of more efficient bio-fertilizers aimed at mitigating soil antibiotic resistance and enhancing soil health, in particular, under the requirements of global "One Health".
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Affiliation(s)
- Zhengzheng Zhao
- National Key Laboratory of Agricultural Microbiology, College of Life Science and Technology, National Engineering Research Center of Microbial Pesticides, Huazhong Agricultural University, Wuhan 430070, China; Frontiers Science Center for Animal Breeding and Sustainable Production, Wuhan 430070, China; Hubei Hongshan Laboratory, Wuhan 430070, Hubei, China
| | - Bingqi Gao
- National Key Laboratory of Agricultural Microbiology, College of Life Science and Technology, National Engineering Research Center of Microbial Pesticides, Huazhong Agricultural University, Wuhan 430070, China; Frontiers Science Center for Animal Breeding and Sustainable Production, Wuhan 430070, China; Hubei Hongshan Laboratory, Wuhan 430070, Hubei, China
| | - Chongrui Yang
- National Key Laboratory of Agricultural Microbiology, College of Life Science and Technology, National Engineering Research Center of Microbial Pesticides, Huazhong Agricultural University, Wuhan 430070, China; Frontiers Science Center for Animal Breeding and Sustainable Production, Wuhan 430070, China; Hubei Hongshan Laboratory, Wuhan 430070, Hubei, China
| | - Yushi Wu
- National Key Laboratory of Agricultural Microbiology, College of Life Science and Technology, National Engineering Research Center of Microbial Pesticides, Huazhong Agricultural University, Wuhan 430070, China; Frontiers Science Center for Animal Breeding and Sustainable Production, Wuhan 430070, China; Hubei Hongshan Laboratory, Wuhan 430070, Hubei, China
| | - Chen Sun
- National Key Laboratory of Agricultural Microbiology, College of Life Science and Technology, National Engineering Research Center of Microbial Pesticides, Huazhong Agricultural University, Wuhan 430070, China; Frontiers Science Center for Animal Breeding and Sustainable Production, Wuhan 430070, China; Hubei Hongshan Laboratory, Wuhan 430070, Hubei, China
| | - Núria Jiménez
- Department of Chemical Engineering, Vilanova i la Geltrú School of Engineering (EPSEVG), Universitat Politècnica de Catalunya BarcelonaTech, Vilanova i la Geltrú 08800, Spain
| | - Longyu Zheng
- National Key Laboratory of Agricultural Microbiology, College of Life Science and Technology, National Engineering Research Center of Microbial Pesticides, Huazhong Agricultural University, Wuhan 430070, China; Frontiers Science Center for Animal Breeding and Sustainable Production, Wuhan 430070, China; Hubei Hongshan Laboratory, Wuhan 430070, Hubei, China
| | - Feng Huang
- National Key Laboratory of Agricultural Microbiology, College of Life Science and Technology, National Engineering Research Center of Microbial Pesticides, Huazhong Agricultural University, Wuhan 430070, China; Frontiers Science Center for Animal Breeding and Sustainable Production, Wuhan 430070, China; Hubei Hongshan Laboratory, Wuhan 430070, Hubei, China
| | - Zhuqing Ren
- Frontiers Science Center for Animal Breeding and Sustainable Production, Wuhan 430070, China; Hubei Hongshan Laboratory, Wuhan 430070, Hubei, China; Key Laboratory of Agriculture Animal Genetics, Breeding and Reproduction of the Ministry of Education, College of Animal Science, Huazhong Agricultural University, Wuhan, Hubei, 430070, China
| | - Ziniu Yu
- National Key Laboratory of Agricultural Microbiology, College of Life Science and Technology, National Engineering Research Center of Microbial Pesticides, Huazhong Agricultural University, Wuhan 430070, China; Frontiers Science Center for Animal Breeding and Sustainable Production, Wuhan 430070, China; Hubei Hongshan Laboratory, Wuhan 430070, Hubei, China
| | - Chan Yu
- State Key Laboratory of Biocatalysis and Enzyme Engineering, School of Life Sciences, Hubei University, Wuhan 430062, China.
| | - Jibin Zhang
- National Key Laboratory of Agricultural Microbiology, College of Life Science and Technology, National Engineering Research Center of Microbial Pesticides, Huazhong Agricultural University, Wuhan 430070, China; Frontiers Science Center for Animal Breeding and Sustainable Production, Wuhan 430070, China; Hubei Hongshan Laboratory, Wuhan 430070, Hubei, China.
| | - Minmin Cai
- National Key Laboratory of Agricultural Microbiology, College of Life Science and Technology, National Engineering Research Center of Microbial Pesticides, Huazhong Agricultural University, Wuhan 430070, China; Frontiers Science Center for Animal Breeding and Sustainable Production, Wuhan 430070, China; Hubei Hongshan Laboratory, Wuhan 430070, Hubei, China.
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Alves MJG, Mendonça JJ, Vitalino GM, Oliveira JP, Carvalho EX, Fracetto FJC, Fracetto GGM, Lira Junior MA. Screening Digitaria eriantha cv. Suvernola Endophytic Bacteria for Maize Growth Promotion. PLANTS (BASEL, SWITZERLAND) 2023; 12:2589. [PMID: 37514205 PMCID: PMC10385894 DOI: 10.3390/plants12142589] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/30/2023] [Revised: 07/05/2023] [Accepted: 07/07/2023] [Indexed: 07/30/2023]
Abstract
The search for sustainable agriculture has increased interest in using endophytic bacteria to reduce fertilizer use and increase stress resilience. Stress-adapted plants are a potential source of these bacteria. Some species of these plants have not yet been evaluated for this, such as pangolão grass, from which we considered endophytic bacteria as potential plant growth promoters. Bacteria from the root, colm, leaves, and rhizospheric soil were isolated, and 132 strains were evaluated for their in vitro biological nitrogen fixation, IAA and siderophores production, and phosphate solubilization. Each mechanism was also assessed under low N availability, water stress, and low-solubility Fe and P sources in maize greenhouse experiments. All strains synthesized IAA; 63 grew on N-free media, 114 synthesized siderophores, and 46 solubilized P, while 19 presented all four mechanisms. Overall, these strains had better performance than commercial inoculant in all experiments. Still, in vitro responses were not good predictors of in vivo effects, which indicates that the former should not be used for strain selection, since this could lead to not testing strains with good plant growth promotion potential. Their heterologous growth promotion in maize reinforces the potential of stress-adapted plant species as potential sources of strains for inoculants.
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Affiliation(s)
- Michelle J G Alves
- Departamento de Agronomia, Universidade Federal Rural de Pernambuco, Recife 52171-900, Brazil
| | - Johny Jesus Mendonça
- Departamento de Agronomia, Universidade Federal Rural de Pernambuco, Recife 52171-900, Brazil
- Programa de Pós-Graduação em Ciência do Solo, Universidade Federal do Rio Grande do Sul, Porto Alegre 91501-970, Brazil
| | - Gisely Moreira Vitalino
- Departamento de Agronomia, Universidade Federal Rural de Pernambuco, Recife 52171-900, Brazil
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Shirazi K, Ketabchi S, Kargar M. Screening of endophytic bacteria from potato tubers and their antagonistic activity against soil-borne potato pathogens. JOURNAL OF BIOLOGICAL RESEARCH - BOLLETTINO DELLA SOCIETÀ ITALIANA DI BIOLOGIA SPERIMENTALE 2022. [DOI: 10.4081/jbr.2023.10625] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/31/2022]
Abstract
In order to appraise the bacterial endophyte communities that help resist disease in potato tuber, the separation, the population density, biodiversity and the antagonistic activity of endophytic bacteria, from the tuber peel of potato cultivars (Fontan90, Agria, Sante’a and Jeli89), were examined in the Fars province in Iran. In this study, the bacterial endophyte Colony Forming Units (CFU) were counted based on the most suitable dilution in petri dishes and expressed per g of wet weight of tuber tissue. The presence of bacteria was found mostly in the outer layer. A wide variety of endophyte species biodiversity was in Agria cultivar. To estimate the antagonistic effect of potato associated endophytic bacteria, 115 bacterial isolates were evaluated by dual culture method against main soil-borne potato pathogens Fusarium oxysporum, Rhizoctonia solani, Verticillium dahliae, Streptomyces scabies and Ralstonia solanacearum. Endophyte strains were identified based on physiological, morphological and chemical characteristics and the 16S rRNA gene sequence analysis. The highest degree of the inhibitory activity in all layers of potato cultivars was related to Bacillus subtilis, Bacillus mojavensis and Klebsiella variicola. Antagonistic activity of endophytic bacteria against the pathogens was significantly higher (p<0.01) in the examined strains from the outermost layer of tuber peel and decreased progressively toward the center of the tuber. In this research, Klebsiella variicola was reported as endophyte bacteria in the four commercial potatocultivars mentioned above, for the first time.
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Chen J, Cai Y, Deng W, Xing S, Liao X. Transmission of tetracycline resistance genes and microbiomes from manure-borne black soldier fly larvae frass to rhizosphere soil and pakchoi endophytes. Front Microbiol 2022; 13:1014910. [DOI: 10.3389/fmicb.2022.1014910] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/09/2022] [Accepted: 10/17/2022] [Indexed: 11/13/2022] Open
Abstract
Manure treatment with black soldier fly larvae (BSFL) and BSFL frass application in crop land is a sustainable strategy; however, whether residual antibiotic resistance genes (ARGs) and their transmission risk are related to the manure BSFL treatment process is still unknown. In this paper, the effect of BSFL addition density on residual tetracycline resistance genes (TRGs) and transmission from frass to pakchoi was determined. The results showed that BSFL frass can provide sufficient nutrients for growth, improve the economic value of pakchoi, and reduce the risk of transmission of TRGs in chicken manure regardless of BSFL density. The potential hosts of the TRGs we detected were found in BSFL frass (Oblitimonas and Tissierella), rhizosphere soil (Mortierella and Fermentimonas), and pakchoi endophytes (Roseomonas). The present study concluded that BSFL frass produced by adding 100 BSFL per 100 g of chicken manure has the advantages of high value and low risk. These findings will provide important strategic guidance for animal manure disposal and theoretical support for preventing the transmission of TRGs in BSFL applications.
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Shastri AA, Ahuja K, Ratnaparkhe MB, Busnel Y. Probabilistically sampled and spectrally clustered plant species using phenotypic characteristics. PeerJ 2021; 9:e11927. [PMID: 34589292 PMCID: PMC8432307 DOI: 10.7717/peerj.11927] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/21/2020] [Accepted: 07/17/2021] [Indexed: 11/23/2022] Open
Abstract
Phenotypic characteristics of a plant species refers to its physical properties as cataloged by plant biologists at different research centers around the world. Clustering species based upon their phenotypic characteristics is used to obtain diverse sets of parents that are useful in their breeding programs. The Hierarchical Clustering (HC) algorithm is the current standard in clustering of phenotypic data. This algorithm suffers from low accuracy and high computational complexity issues. To address the accuracy challenge, we propose the use of Spectral Clustering (SC) algorithm. To make the algorithm computationally cheap, we propose using sampling, specifically, Pivotal Sampling that is probability based. Since application of samplings to phenotypic data has not been explored much, for effective comparison, another sampling technique called Vector Quantization (VQ) is adapted for this data as well. VQ has recently generated promising results for genotypic data. The novelty of our SC with Pivotal Sampling algorithm is in constructing the crucial similarity matrix for the clustering algorithm and defining probabilities for the sampling technique. Although our algorithm can be applied to any plant species, we tested it on the phenotypic data obtained from about 2,400 Soybean species. SC with Pivotal Sampling achieves substantially more accuracy (in terms of Silhouette Values) than all the other proposed competitive clustering with sampling algorithms (i.e. SC with VQ, HC with Pivotal Sampling, and HC with VQ). The complexities of our SC with Pivotal Sampling algorithm and these three variants are almost the same because of the involved sampling. In addition to this, SC with Pivotal Sampling outperforms the standard HC algorithm in both accuracy and computational complexity. We experimentally show that we are up to 45% more accurate than HC in terms of clustering accuracy. The computational complexity of our algorithm is more than a magnitude less than that of HC.
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Affiliation(s)
- Aditya A. Shastri
- Math of Data Science & Simulation (MODSS) Lab, Indian Institute of Technology Indore, Indore, India
| | - Kapil Ahuja
- Math of Data Science & Simulation (MODSS) Lab, Indian Institute of Technology Indore, Indore, India
| | | | - Yann Busnel
- Network Systems, Cybersecurity and Digital Law Department, Institut Mines-Telecom Atlantique, Rennes, France
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Wang G, Li G, Chang J, Kong Y, Jiang T, Wang J, Yuan J. Enrichment of antibiotic resistance genes after sheep manure aerobic heap composting. BIORESOURCE TECHNOLOGY 2021; 323:124620. [PMID: 33429314 DOI: 10.1016/j.biortech.2020.124620] [Citation(s) in RCA: 45] [Impact Index Per Article: 15.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/31/2020] [Revised: 12/22/2020] [Accepted: 12/23/2020] [Indexed: 06/12/2023]
Abstract
In this study, physio-chemical properties, 45 antibiotics, 6 heavy metals, 42 antibiotic resistance genes (ARGs), 3 mobile genetic elements, and the bacterial community structure were investigated to analyze the fate of ARGs during sheep manure aerobic heap composting. Results showed that sheep manure heap composting could produce mature compost. The degradation processes reduced the total antibiotics content by 85%. The abundance of ARGs and mobile genetic elements (MGEs) were enriched 9-fold, with the major increases to sul and tet genes (sulI, sulII, tetQ, and tetX). Tetracycline and sulfonamide resistance genes were the most abundant ARGs after composting (more than 88% of all genes). The genes tetA, tetX and sulI were related to the most diverse bacteria that were most able to proliferate during heap composting. Therefore, sulI and tetX are the major ARGs to be controlled, and Actinobacteria and Bacteroidetes may be the major host bacteria.
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Affiliation(s)
- Guoying Wang
- Beijing Key Laboratory of Farmland Soil Pollution Prevention and Remediation, College of Resources and Environmental Science, China Agricultural University, Beijing, PR China
| | - Guoxue Li
- Beijing Key Laboratory of Farmland Soil Pollution Prevention and Remediation, College of Resources and Environmental Science, China Agricultural University, Beijing, PR China
| | - Jiali Chang
- Division of Environmental Engineering, School of Chemistry, Resources and Environment, Leshan Normal University, Sichuan 614000, PR China
| | - Yilin Kong
- Beijing Key Laboratory of Farmland Soil Pollution Prevention and Remediation, College of Resources and Environmental Science, China Agricultural University, Beijing, PR China
| | - Tao Jiang
- Division of Environmental Engineering, School of Chemistry, Resources and Environment, Leshan Normal University, Sichuan 614000, PR China
| | - Jiani Wang
- Division of Environmental Engineering, School of Chemistry, Resources and Environment, Leshan Normal University, Sichuan 614000, PR China
| | - Jing Yuan
- Beijing Key Laboratory of Farmland Soil Pollution Prevention and Remediation, College of Resources and Environmental Science, China Agricultural University, Beijing, PR China.
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Wei H, Ding S, Qiao Z, Su Y, Xie B. Insights into factors driving the transmission of antibiotic resistance from sludge compost-amended soil to vegetables under cadmium stress. THE SCIENCE OF THE TOTAL ENVIRONMENT 2020; 729:138990. [PMID: 32380328 DOI: 10.1016/j.scitotenv.2020.138990] [Citation(s) in RCA: 20] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/13/2020] [Revised: 04/23/2020] [Accepted: 04/23/2020] [Indexed: 06/11/2023]
Abstract
Sludge compost is often used as a fertilizer for crops, although it might be enriched with antibiotic resistance genes (ARGs) and heavy metals that cannot be removed through composting. A robust understanding of the factors affecting the transmission of ARGs to vegetables grown in soils treated with sludge products is lacking. In this study, target ARGs in the bulk and rhizosphere soils and endophytes of shallots under heavy metal stress (i.e., Cd) were assessed, and the factors driving the transmission of ARGs were identified. Cd stress resulted in an increase in the relative abundances of target ARGs in the bulk and rhizosphere soils and endophytes. The driving factors were different in soils and plants under different degrees of Cd stress. The fungal community composition was the main driving factor of ARG variation in both bulk and rhizosphere soils. Moreover, endophytic bacteria played a crucial role in transferring ARGs to plants. Higher Cd stress promoted the transfer of most target ARGs from the below-ground plant parts to the above-ground parts. These findings indicate that application of sludge contaminated with heavy metals, such as Cd, can facilitate the dissemination of ARGs into vegetables, which must be considered while assessing the risks to public health.
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Affiliation(s)
- Huawei Wei
- Shanghai Engineering Research Center of Biotransformation of Organic Solid Waste, Shanghai 200241, China; Shanghai Key Lab for Urban Ecological Processes and Eco-Restoration, School of Ecological and Environmental Sciences, East China Normal University, Shanghai 200241, China; Shanghai Institute of Pollution Control and Ecological Security, Shanghai 200092, China
| | - Sheng Ding
- Shanghai Engineering Research Center of Biotransformation of Organic Solid Waste, Shanghai 200241, China; Shanghai Key Lab for Urban Ecological Processes and Eco-Restoration, School of Ecological and Environmental Sciences, East China Normal University, Shanghai 200241, China
| | - Ziru Qiao
- Shanghai Engineering Research Center of Biotransformation of Organic Solid Waste, Shanghai 200241, China; Shanghai Key Lab for Urban Ecological Processes and Eco-Restoration, School of Ecological and Environmental Sciences, East China Normal University, Shanghai 200241, China
| | - Yinglong Su
- Shanghai Engineering Research Center of Biotransformation of Organic Solid Waste, Shanghai 200241, China; Shanghai Key Lab for Urban Ecological Processes and Eco-Restoration, School of Ecological and Environmental Sciences, East China Normal University, Shanghai 200241, China; Shanghai Institute of Pollution Control and Ecological Security, Shanghai 200092, China
| | - Bing Xie
- Shanghai Engineering Research Center of Biotransformation of Organic Solid Waste, Shanghai 200241, China; Shanghai Key Lab for Urban Ecological Processes and Eco-Restoration, School of Ecological and Environmental Sciences, East China Normal University, Shanghai 200241, China; Shanghai Institute of Pollution Control and Ecological Security, Shanghai 200092, China.
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Wang J, Li Y, Niu W. Deficit Alternate Drip Irrigation Increased Root-Soil-Plant Interaction, Tomato Yield, and Quality. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2020; 17:E781. [PMID: 32012685 PMCID: PMC7037769 DOI: 10.3390/ijerph17030781] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/03/2020] [Revised: 01/20/2020] [Accepted: 01/23/2020] [Indexed: 11/17/2022]
Abstract
To determine the soil mechanism in root-zone caused by water saving and the production response to alternate drip irrigation (ADI), the present study investigated the effects of deficit ADI on tomato growth using the conventional surface drip irrigation (CDI) as a control. The interactions among the experimental treatments on root index, photosynthetic efficiency, biomass accumulation, yield, fruit quality and irrigation water use efficiency (IWUE) were assessed and the inner mechanism of root-soil effecting on tomato growth, photosynthate distribution, yield and quality was discussed. ADI significantly enhanced root-soil interaction, promoted soil nitrogen and phosphorus absorption by tomato and tomato growth. However, different soil moisture deficits significantly affected tomato photosynthate accumulation and distribution, as well as fruit quality. With irrigation amount of 50% field capacity (F), ADI significantly increased soluble sugar, total soluble solid and lycopene by 38.08%, 19.48% and 30.05%, respectively, compared to those of CDI, but decreased irrigation amounts by 29.86% in comparison with the CDI one. ADI of 70% F could significantly distribute more photosynthate to fruits, thus enhanced tomato yields by 24.6% and improved IWUE by 17.05% compared to that of CDI. In addition, ADI of 70% F improved tomato fruits quality, and in particular organic acid was decreased by 43.75% and sugar-acid ratio was increased by 97% compared to CDI. However, ADI of 60% F distributed more photosynthate to plant, showing no significant difference of yields in comparison with CDI and ADI of 70% F, but a higher IWUE by 19.54% than that of CDI. ADI of 60% F significantly enhanced soluble sugar, total soluble solid, soluble protein, lycopene and sugar-acid ratio in tomato fruits by 2.06, 1.26, 1.61, 1.4 and 3.2 times respectively compared to CDI. Therefore, ADI of 60% or 70% F can be overall recommended for tomato production in a greenhouse, plant growth, fruit yield and quality, and IWUE.
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Affiliation(s)
- Jingwei Wang
- College of Resources and Environment, Shanxi University of Finance and Economics, Taiyuan 030006, Shanxi, China
- Institute of Soil and Water Conservation, Northwest A&F University, Yangling 712100, Shaanxi, China;
| | - Yuan Li
- Institute of Soil and Water Conservation, Northwest A&F University, Yangling 712100, Shaanxi, China;
| | - Wenquan Niu
- Institute of Soil and Water Conservation, Northwest A&F University, Yangling 712100, Shaanxi, China;
- Institute of Soil and Water Conservation, CAS & MWR, Yangling 712100, Shaanxi, China
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