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Yang X, Feng K, Wang S, Yuan MM, Peng X, He Q, Wang D, Shen W, Zhao B, Du X, Wang Y, Wang L, Cao D, Liu W, Wang J, Deng Y. Unveiling the deterministic dynamics of microbial meta-metabolism: a multi-omics investigation of anaerobic biodegradation. MICROBIOME 2024; 12:166. [PMID: 39244624 PMCID: PMC11380791 DOI: 10.1186/s40168-024-01890-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/28/2024] [Accepted: 07/29/2024] [Indexed: 09/09/2024]
Abstract
BACKGROUND Microbial anaerobic metabolism is a key driver of biogeochemical cycles, influencing ecosystem function and health of both natural and engineered environments. However, the temporal dynamics of the intricate interactions between microorganisms and the organic metabolites are still poorly understood. Leveraging metagenomic and metabolomic approaches, we unveiled the principles governing microbial metabolism during a 96-day anaerobic bioreactor experiment. RESULTS During the turnover and assembly of metabolites, homogeneous selection was predominant, peaking at 84.05% on day 12. Consistent dynamic coordination between microbes and metabolites was observed regarding their composition and assembly processes. Our findings suggested that microbes drove deterministic metabolite turnover, leading to consistent molecular conversions across parallel reactors. Moreover, due to the more favorable thermodynamics of N-containing organic biotransformations, microbes preferentially carried out sequential degradations from N-containing to S-containing compounds. Similarly, the metabolic strategy of C18 lipid-like molecules could switch from synthesis to degradation due to nutrient exhaustion and thermodynamical disadvantage. This indicated that community biotransformation thermodynamics emerged as a key regulator of both catabolic and synthetic metabolisms, shaping metabolic strategy shifts at the community level. Furthermore, the co-occurrence network of microbes-metabolites was structured around microbial metabolic functions centered on methanogenesis, with CH4 as a network hub, connecting with 62.15% of total nodes as 1st and 2nd neighbors. Microbes aggregate molecules with different molecular traits and are modularized depending on their metabolic abilities. They established increasingly positive relationships with high-molecular-weight molecules, facilitating resource acquisition and energy utilization. This metabolic complementarity and substance exchange further underscored the cooperative nature of microbial interactions. CONCLUSIONS All results revealed three key rules governing microbial anaerobic degradation. These rules indicate that microbes adapt to environmental conditions according to their community-level metabolic trade-offs and synergistic metabolic functions, further driving the deterministic dynamics of molecular composition. This research offers valuable insights for enhancing the prediction and regulation of microbial activities and carbon flow in anaerobic environments. Video Abstract.
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Affiliation(s)
- Xingsheng Yang
- CAS Key Laboratory of Environmental Biotechnology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences (CAS), Beijing, 100085, China
- University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Kai Feng
- CAS Key Laboratory of Environmental Biotechnology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences (CAS), Beijing, 100085, China
- University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Shang Wang
- CAS Key Laboratory of Environmental Biotechnology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences (CAS), Beijing, 100085, China
| | - Mengting Maggie Yuan
- Department of Environmental Science, Policy, and Management, University of California, Berkeley, CA, 94704, USA
| | - Xi Peng
- CAS Key Laboratory of Environmental Biotechnology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences (CAS), Beijing, 100085, China
- University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Qing He
- CAS Key Laboratory of Environmental Biotechnology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences (CAS), Beijing, 100085, China
| | - Danrui Wang
- CAS Key Laboratory of Environmental Biotechnology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences (CAS), Beijing, 100085, China
- University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Wenli Shen
- CAS Key Laboratory of Environmental Biotechnology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences (CAS), Beijing, 100085, China
| | - Bo Zhao
- CAS Key Laboratory of Environmental Biotechnology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences (CAS), Beijing, 100085, China
- University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Xiongfeng Du
- CAS Key Laboratory of Environmental Biotechnology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences (CAS), Beijing, 100085, China
- University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Yingcheng Wang
- CAS Key Laboratory of Environmental Biotechnology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences (CAS), Beijing, 100085, China
| | - Linlin Wang
- CAS Key Laboratory of Environmental Biotechnology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences (CAS), Beijing, 100085, China
| | - Dong Cao
- University of Chinese Academy of Sciences, Beijing, 100049, China
- State Key Laboratory of Environmental Chemistry and Ecotoxicology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing, 100085, China
| | - Wenzong Liu
- State Key Laboratory of Urban Water Resource and Environment, School of Civil and Environmental Engineering, Harbin Institute of Technology Shenzhen, Shenzhen, 518055, China
| | - Jianjun Wang
- University of Chinese Academy of Sciences, Beijing, 100049, China
- State Key Laboratory of Lake Science and Environment, Nanjing Institute of Geography and Limnology, Chinese Academic of Sciences, Nanjing, 210008, China
| | - Ye Deng
- CAS Key Laboratory of Environmental Biotechnology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences (CAS), Beijing, 100085, China.
- University of Chinese Academy of Sciences, Beijing, 100049, China.
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Huang X, Hong Y, Li Q, Liu Z, Liu K. Characteristics and driving forces of the soil microbial community during 35 years of natural restoration in abandoned areas of the Daxin manganese mine, China. ENVIRONMENTAL GEOCHEMISTRY AND HEALTH 2024; 46:413. [PMID: 39230730 DOI: 10.1007/s10653-024-02204-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/26/2024] [Accepted: 08/28/2024] [Indexed: 09/05/2024]
Abstract
The restoration of mining wastelands, particularly in karst regions contaminated by heavy metals, is an environmental challenge in need of urgent attention. Soil microbes play a vital role in nutrient cycling and ecosystem recovery, yet the long-term evolution of soil microbial communities in such settings remains poorly understood. This study explored the dynamics and influencing factors of soil microbial communities during 35 years of natural restoration in abandoned manganese (Mn) mine areas in Guangxi Province, China. The results revealed that the concentrations of Mn, Cd, Zn, and Cu were significantly (p < 0.05) reduced by 80.4-85.3%, 55.3-70.0%, 21.0-38.1%, and 29.4-49.4%, respectively, in the mid-late restoration periods (R19 and R35) compared with R1. The α diversities of the bacterial and fungal communities significantly increased in the middle-late restoration periods (R19 and R35), indicating increased microbial diversity as restoration progressed. The bacterial community structure exhibited more pronounced changes than did the fungal community structure, with significant shifts observed in dominant phyla such as Proteobacteria, Actinobacteria, Acidobacteriota, and Ascomycota. Notably, the relative abundances of Rhizobiales, Burkholderiales, and Hypocreales increased gradually with succession. Co-occurrence network analysis revealed that bacterial interactions became stronger over time, whereas interactions between bacteria and fungi weakened. Mantel tests and partial least squares path modeling (PLS‒PM) identified soil pH, heavy metals (Mn, Cd, Zn, and Cu), and nutrients (SOM and TN) as key drivers shaping the microbial community composition. These factors were more strongly correlated with bacterial communities than with fungal communities, underscoring the different responses of microbial groups to environmental changes during natural restoration. These findings enhance our understanding of the ecological processes governing microbial community succession in heavy metal-contaminated soils undergoing natural restoration.
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Affiliation(s)
- Xiaofang Huang
- Key Laboratory of Ecology of Rare and Endangered Species and Environmental Protection (Guangxi Normal University), Ministry of Education, Guilin, 541004, China
| | - Yanyan Hong
- Key Laboratory of Ecology of Rare and Endangered Species and Environmental Protection (Guangxi Normal University), Ministry of Education, Guilin, 541004, China
| | - Quanzeng Li
- Key Laboratory of Ecology of Rare and Endangered Species and Environmental Protection (Guangxi Normal University), Ministry of Education, Guilin, 541004, China
| | - Zongbao Liu
- Key Laboratory of Ecology of Rare and Endangered Species and Environmental Protection (Guangxi Normal University), Ministry of Education, Guilin, 541004, China.
| | - Kehui Liu
- Key Laboratory of Ecology of Rare and Endangered Species and Environmental Protection (Guangxi Normal University), Ministry of Education, Guilin, 541004, China.
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3
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Ruan Z, Xu M, Xing Y, Yang K, Xu X, Jiang J, Qiu R. Enhanced growth of wheat in contaminated fields via synthetic microbiome as revealed by genome-scale metabolic modeling. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 953:176047. [PMID: 39241874 DOI: 10.1016/j.scitotenv.2024.176047] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/17/2024] [Revised: 08/08/2024] [Accepted: 09/03/2024] [Indexed: 09/09/2024]
Abstract
The relationship between plants and soil microbial communities is complex and subtle, with microbes playing a crucial role in plant growth. Autochthonous bioaugmentation and nutrient biostimulation are promising bioremediation methods for herbicides in contaminated agricultural soils, but how microbes interact to promote biodegradation and plant growth on barren fields, especially in response to the treatment of the herbicide bromoxynil after wheat seedlings, remains poorly understood. In this study, we explored the microbial community reassembly process from the three-leaf stage to the tillering stage of wheat and put forward the idea of using the overlapping results of three methods (network Zi-Pi analysis, LEfSe analysis, and Random Forest analysis) as keystones for the simplification and optimization of key microbial species in the soil. Then we used genome-scale metabolic models (GSMMs) to design a targeted synthetic microbiome for promoting wheat seedling growing. The results showed that carbon source was more helpful in enriching soil microbial diversity and promoting the role of functional microbial communities, which facilitated the degradation of bromoxynil. Designed a multifunctional synthetic consortium consisting of seven non-degraders which unexpectedly assisted in the degradation of indigenous bacteria, which increased the degradation rate of bromoxynil by 2.05 times, and when adding nutritional supplementation, it increased the degradation rate by 3.65 times. In summary, this study provides important insights for rational fertilization and precise microbial consortium management to improve plant seedling growth in contaminated fields.
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Affiliation(s)
- Zhepu Ruan
- Guangdong Laboratory for Lingnan Modern Agriculture, Guangdong Provincial Key Laboratory of Agricultural & Rural Pollution Abatement and Environmental Safety, College of Natural Resources and Environment, South China Agricultural University, Guangzhou 510642, China; Department of Microbiology, College of Life Sciences, Nanjing Agricultural University, Key Laboratory of Agricultural and Environmental Microbiology, Ministry of Agriculture and Rural Affairs, Nanjing 210095, China
| | - Mengjun Xu
- Department of Microbiology, College of Life Sciences, Nanjing Agricultural University, Key Laboratory of Agricultural and Environmental Microbiology, Ministry of Agriculture and Rural Affairs, Nanjing 210095, China
| | - Youwen Xing
- Department of Microbiology, College of Life Sciences, Nanjing Agricultural University, Key Laboratory of Agricultural and Environmental Microbiology, Ministry of Agriculture and Rural Affairs, Nanjing 210095, China
| | - Kaiqing Yang
- Guangdong Laboratory for Lingnan Modern Agriculture, Guangdong Provincial Key Laboratory of Agricultural & Rural Pollution Abatement and Environmental Safety, College of Natural Resources and Environment, South China Agricultural University, Guangzhou 510642, China
| | - Xihui Xu
- Department of Microbiology, College of Life Sciences, Nanjing Agricultural University, Key Laboratory of Agricultural and Environmental Microbiology, Ministry of Agriculture and Rural Affairs, Nanjing 210095, China.
| | - Jiandong Jiang
- Department of Microbiology, College of Life Sciences, Nanjing Agricultural University, Key Laboratory of Agricultural and Environmental Microbiology, Ministry of Agriculture and Rural Affairs, Nanjing 210095, China.
| | - Rongliang Qiu
- Guangdong Laboratory for Lingnan Modern Agriculture, Guangdong Provincial Key Laboratory of Agricultural & Rural Pollution Abatement and Environmental Safety, College of Natural Resources and Environment, South China Agricultural University, Guangzhou 510642, China; School of Environmental Science and Engineering, Sun Yat-sen University, Guangzhou 510006, China.
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4
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Fang K, Kou YP, Tang N, Liu J, Zhang XY, He HL, Xia RX, Zhao WQ, Li DD, Liu Q. Differential responses of soil bacteria, fungi and protists to root exudates and temperature. Microbiol Res 2024; 286:127829. [PMID: 39018940 DOI: 10.1016/j.micres.2024.127829] [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: 06/10/2024] [Accepted: 06/30/2024] [Indexed: 07/19/2024]
Abstract
The impact of climate warming on soil microbes has been well documented, with studies revealing its effects on diversity, community structure and network dynamics. However, the consistency of soil microbial community assembly, particularly in response to diverse plant root exudates under varying temperature conditions, remains an unresolved issue. To address this issue, we employed a growth chamber to integrate temperature and root exudates in a controlled experiment to examine the response of soil bacteria, fungi, and protists. Our findings revealed that temperature independently regulated microbial diversity, with distinct patterns observed among bacteria, fungi, and protists. Both root exudates and temperature significantly influenced microbial community composition, yet interpretations of these factors varied among prokaryotes and eukaryotes. In addition to phototrophic bacteria and protists, as well as protistan consumers, root exudates determined to varying degrees the enrichment of other microbial functional guilds at specific temperatures. The effects of temperature and root exudates on microbial co-occurrence patterns were interdependent; root exudates primarily simplified the network at low and high temperatures, while responses to temperature varied between single and mixed exudate treatments. Moreover, temperature altered the composition of keystone species within the microbial network, while root exudates led to a decrease in their number. These results emphasize the substantial impact of plant root exudates on soil microbial community responses to temperature, underscoring the necessity for future climate change research to incorporate additional environmental variables.
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Affiliation(s)
- Kai Fang
- CAS Key Laboratory of Mountain Ecological Restoration and Bioresource Utilization & Ecological Restoration and Biodiversity Conservation Key Laboratory of Sichuan Province, Chengdu Institute of Biology, Chinese Academy of Sciences, Chengdu 610213, China; College of Agriculture and Biological Sciences, Dali University, Dali 671003, China
| | - Yong-Ping Kou
- CAS Key Laboratory of Mountain Ecological Restoration and Bioresource Utilization & Ecological Restoration and Biodiversity Conservation Key Laboratory of Sichuan Province, Chengdu Institute of Biology, Chinese Academy of Sciences, Chengdu 610213, China.
| | - Na Tang
- CAS Key Laboratory of Mountain Ecological Restoration and Bioresource Utilization & Ecological Restoration and Biodiversity Conservation Key Laboratory of Sichuan Province, Chengdu Institute of Biology, Chinese Academy of Sciences, Chengdu 610213, China
| | - Jia Liu
- CAS Key Laboratory of Mountain Ecological Restoration and Bioresource Utilization & Ecological Restoration and Biodiversity Conservation Key Laboratory of Sichuan Province, Chengdu Institute of Biology, Chinese Academy of Sciences, Chengdu 610213, China
| | - Xiao-Ying Zhang
- CAS Key Laboratory of Mountain Ecological Restoration and Bioresource Utilization & Ecological Restoration and Biodiversity Conservation Key Laboratory of Sichuan Province, Chengdu Institute of Biology, Chinese Academy of Sciences, Chengdu 610213, China
| | - He-Liang He
- College of Agriculture, Forestry and Food Engineering, Yibin University, Yibin 644007, China
| | - Rui-Xue Xia
- CAS Key Laboratory of Mountain Ecological Restoration and Bioresource Utilization & Ecological Restoration and Biodiversity Conservation Key Laboratory of Sichuan Province, Chengdu Institute of Biology, Chinese Academy of Sciences, Chengdu 610213, China
| | - Wen-Qiang Zhao
- CAS Key Laboratory of Mountain Ecological Restoration and Bioresource Utilization & Ecological Restoration and Biodiversity Conservation Key Laboratory of Sichuan Province, Chengdu Institute of Biology, Chinese Academy of Sciences, Chengdu 610213, China
| | - Dan-Dan Li
- CAS Key Laboratory of Mountain Ecological Restoration and Bioresource Utilization & Ecological Restoration and Biodiversity Conservation Key Laboratory of Sichuan Province, Chengdu Institute of Biology, Chinese Academy of Sciences, Chengdu 610213, China
| | - Qing Liu
- CAS Key Laboratory of Mountain Ecological Restoration and Bioresource Utilization & Ecological Restoration and Biodiversity Conservation Key Laboratory of Sichuan Province, Chengdu Institute of Biology, Chinese Academy of Sciences, Chengdu 610213, China.
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5
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Scarinci G, Ariens JL, Angelidou G, Schmidt S, Glatter T, Paczia N, Sourjik V. Enhanced metabolic entanglement emerges during the evolution of an interkingdom microbial community. Nat Commun 2024; 15:7238. [PMID: 39174531 PMCID: PMC11341674 DOI: 10.1038/s41467-024-51702-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2024] [Accepted: 08/15/2024] [Indexed: 08/24/2024] Open
Abstract
While different stages of mutualism can be observed in natural communities, the dynamics and mechanisms underlying the gradual erosion of independence of the initially autonomous organisms are not yet fully understood. In this study, by conducting the laboratory evolution on an engineered microbial community, we reproduce and molecularly track the stepwise progression towards enhanced partner entanglement. We observe that the evolution of the community both strengthens the existing metabolic interactions and leads to the emergence of de novo interdependence between partners for nitrogen metabolism, which is a common feature of natural symbiotic interactions. Selection for enhanced metabolic entanglement during the community evolution repeatedly occurred indirectly, via pleiotropies and trade-offs within cellular regulatory networks, and with no evidence of group selection. The indirect positive selection of metabolic dependencies between microbial community members, which results from the direct selection of other coupled traits in the same regulatory network, may therefore be a common but underappreciated driving force guiding the evolution of natural mutualistic communities.
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Affiliation(s)
- Giovanni Scarinci
- Max Planck Institute for Terrestrial Microbiology, Marburg, Germany
- Center for Synthetic Microbiology (SYNMIKRO), Marburg, Germany
| | - Jan-Luca Ariens
- Max Planck Institute for Terrestrial Microbiology, Marburg, Germany
- Center for Synthetic Microbiology (SYNMIKRO), Marburg, Germany
| | | | - Sebastian Schmidt
- Max Planck Institute for Terrestrial Microbiology, Marburg, Germany
- Center for Synthetic Microbiology (SYNMIKRO), Marburg, Germany
| | - Timo Glatter
- Max Planck Institute for Terrestrial Microbiology, Marburg, Germany
| | - Nicole Paczia
- Max Planck Institute for Terrestrial Microbiology, Marburg, Germany
| | - Victor Sourjik
- Max Planck Institute for Terrestrial Microbiology, Marburg, Germany.
- Center for Synthetic Microbiology (SYNMIKRO), Marburg, Germany.
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6
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Tang J, Zuo W, Guo L, Han Z, Yang C, Han B, Dai L, Zhang X, Zhou X. Synergistic pectin deconstruction is a prerequisite for mutualistic interactions between honeybee gut bacteria. Nat Commun 2024; 15:6937. [PMID: 39138170 PMCID: PMC11322527 DOI: 10.1038/s41467-024-51365-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2023] [Accepted: 08/02/2024] [Indexed: 08/15/2024] Open
Abstract
The honeybee gut microbiome is crucial for degrading diverse pollen glycans. Yet it is unclear how this process shapes the interactions among bacteria. Here, we demonstrate a conditional mutualistic interaction between strains of two honeybee gut bacteria Bifidobacterium asteroides and Gilliamella apicola. When co-occurring in vitro and in vivo, Bifidobacterium provides complementary demethylation service to promote Gilliamella growth on methylated homogalacturonan, an enriched polysaccharide of pectin. In exchange, Gilliamella shares digestive products with Bifidobacterium, through which a positive interaction is established. This positive interaction vanishes when Bifidobacterium is not required on a non-methylated diet. Results from biochemical and gene expression analyses combined with model simulation further suggest that the ratio change of the two major homogalacturonan breakdown products, galacturonic acid (GalA) and di-GalA, determines the bacterial interaction. This study unravels how glycan metabolism may shape the interactions between honeybee gut bacteria.
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Affiliation(s)
- Junbo Tang
- College of Food Science and Nutritional Engineering, China Agricultural University, Beijing, China
- Department of Entomology, College of Plant Protection, China Agricultural University, Beijing, China
- Sanya Institute of China Agricultural University, Hainan, China
| | - Wenlong Zuo
- CAS Key Laboratory of Quantitative Engineering Biology, Shenzhen Institute of Synthetic Biology, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China
| | - Lizhen Guo
- Department of Entomology, College of Plant Protection, China Agricultural University, Beijing, China
- Sanya Institute of China Agricultural University, Hainan, China
| | - Zhihao Han
- Department of Biomedical Engineering, School of Engineering, China Pharmaceutical University, Nanjing, China
| | - Chengfeng Yang
- Department of Entomology, College of Plant Protection, China Agricultural University, Beijing, China
- Sanya Institute of China Agricultural University, Hainan, China
| | - Benfeng Han
- Department of Entomology, College of Plant Protection, China Agricultural University, Beijing, China
- Department of Microbiology and Immunology, College of Biological Science, China Agricultural University, Beijing, China
| | - Lei Dai
- CAS Key Laboratory of Quantitative Engineering Biology, Shenzhen Institute of Synthetic Biology, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China.
- University of Chinese Academy of Sciences, Beijing, China.
| | - Xue Zhang
- Department of Entomology, College of Plant Protection, China Agricultural University, Beijing, China.
| | - Xin Zhou
- Department of Entomology, College of Plant Protection, China Agricultural University, Beijing, China.
- Sanya Institute of China Agricultural University, Hainan, China.
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7
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Sinha AK, Laursen MF, Licht TR. Regulation of microbial gene expression: the key to understanding our gut microbiome. Trends Microbiol 2024:S0966-842X(24)00175-6. [PMID: 39095208 DOI: 10.1016/j.tim.2024.07.005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2024] [Revised: 07/09/2024] [Accepted: 07/11/2024] [Indexed: 08/04/2024]
Abstract
During the past two decades, gut microbiome studies have established the significant impact of the gut microbiota and its metabolites on host health. However, the molecular mechanisms governing the production of microbial metabolites in the gut environment remain insufficiently investigated and thus are poorly understood. Here, we propose that an enhanced understanding of gut microbial gene regulation, which is responsive to dietary components and gut environmental conditions, is needed in the research field and essential for our ability to effectively promote host health and prevent diseases through interventions targeting the gut microbiome.
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Affiliation(s)
- Anurag Kumar Sinha
- National Food Institute, Technical University of Denmark, Kongens Lyngby, Denmark.
| | | | - Tine Rask Licht
- National Food Institute, Technical University of Denmark, Kongens Lyngby, Denmark.
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8
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Silverstein MR, Bhatnagar JM, Segrè D. Metabolic complexity drives divergence in microbial communities. Nat Ecol Evol 2024; 8:1493-1504. [PMID: 38956426 DOI: 10.1038/s41559-024-02440-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/04/2023] [Accepted: 05/14/2024] [Indexed: 07/04/2024]
Abstract
Microbial communities are shaped by environmental metabolites, but the principles that govern whether different communities will converge or diverge in any given condition remain unknown, posing fundamental questions about the feasibility of microbiome engineering. Here we studied the longitudinal assembly dynamics of a set of natural microbial communities grown in laboratory conditions of increasing metabolic complexity. We found that different microbial communities tend to become similar to each other when grown in metabolically simple conditions, but they diverge in composition as the metabolic complexity of the environment increases, a phenomenon we refer to as the divergence-complexity effect. A comparative analysis of these communities revealed that this divergence is driven by community diversity and by the assortment of specialist taxa capable of degrading complex metabolites. An ecological model of community dynamics indicates that the hierarchical structure of metabolism itself, where complex molecules are enzymatically degraded into progressively simpler ones that then participate in cross-feeding between community members, is necessary and sufficient to recapitulate our experimental observations. In addition to helping understand the role of the environment in community assembly, the divergence-complexity effect can provide insight into which environments support multiple community states, enabling the search for desired ecosystem functions towards microbiome engineering applications.
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Affiliation(s)
- Michael R Silverstein
- Bioinformatics Program, Faculty of Computing and Data Science, Boston University, Boston, MA, USA
- Biological Design Center, Boston University, Boston, MA, USA
| | - Jennifer M Bhatnagar
- Bioinformatics Program, Faculty of Computing and Data Science, Boston University, Boston, MA, USA
- Department of Biology, Boston University, Boston, MA, USA
| | - Daniel Segrè
- Bioinformatics Program, Faculty of Computing and Data Science, Boston University, Boston, MA, USA.
- Biological Design Center, Boston University, Boston, MA, USA.
- Department of Biology, Boston University, Boston, MA, USA.
- Department of Biomedical Engineering and Department of Physics, Boston University, Boston, MA, USA.
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9
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Gallardo-Navarro O, Aguilar-Salinas B, Rocha J, Olmedo-Álvarez G. Higher-order interactions and emergent properties of microbial communities: The power of synthetic ecology. Heliyon 2024; 10:e33896. [PMID: 39130413 PMCID: PMC11315108 DOI: 10.1016/j.heliyon.2024.e33896] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/16/2024] [Accepted: 06/28/2024] [Indexed: 08/13/2024] Open
Abstract
Humans have long relied on microbial communities to create products, produce energy, and treat waste. The microbiota residing within our bodies directly impacts our health, while the soil and rhizosphere microbiomes influence the productivity of our crops. However, the complexity and diversity of microbial communities make them challenging to study and difficult to develop into applications, as they often exhibit the emergence of unpredictable higher-order phenomena. Synthetic ecology aims at simplifying complexity by constituting synthetic or semi-natural microbial communities with reduced diversity that become easier to study and analyze. This strategy combines methodologies that simplify existing complex systems (top-down approach) or build the system from its constituent components (bottom-up approach). Simplified communities are studied to understand how interactions among populations shape the behavior of the community and to model and predict their response to external stimuli. By harnessing the potential of synthetic microbial communities through a multidisciplinary approach, we can advance knowledge of ecological concepts and address critical public health, agricultural, and environmental issues more effectively.
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Affiliation(s)
- Oscar Gallardo-Navarro
- Centro de Investigación y de Estudios Avanzado del Instituto Politécnico Nacional, Unidad Irapuato, Mexico
| | - Bernardo Aguilar-Salinas
- Centro de Investigación y de Estudios Avanzado del Instituto Politécnico Nacional, Unidad Irapuato, Mexico
| | - Jorge Rocha
- Centro de Investigaciones Biológicas del Noroeste, S. C., La Paz, Mexico
| | - Gabriela Olmedo-Álvarez
- Centro de Investigación y de Estudios Avanzado del Instituto Politécnico Nacional, Unidad Irapuato, Mexico
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10
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Laurich JR, Lash E, O'Brien AM, Pogoutse O, Frederickson ME. Community interactions among microbes give rise to host-microbiome mutualisms in an aquatic plant. mBio 2024; 15:e0097224. [PMID: 38904411 PMCID: PMC11324027 DOI: 10.1128/mbio.00972-24] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/19/2024] [Accepted: 05/14/2024] [Indexed: 06/22/2024] Open
Abstract
Microbiomes often benefit plants, conferring resistance to pathogens, improving stress tolerance, or promoting plant growth. As potential plant mutualists, however, microbiomes are not a single organism but a community of species with complex interactions among microbial taxa and between microbes and their shared host. The nature of ecological interactions among microbes in the microbiome can have important consequences for the net effects of microbiomes on hosts. Here, we compared the effects of individual microbial strains and 10-strain synthetic communities on microbial productivity and host growth using the common duckweed Lemna minor and a synthetic, simplified version of its native microbiome. Except for Pseudomonas protegens, which was a mutualist when tested alone, all of the single strains we tested were commensals on hosts, benefiting from plant presence but not increasing host growth relative to uninoculated controls. However, 10-strain synthetic microbial communities increased both microbial productivity and duckweed growth more than the average single-strain inoculation and uninoculated controls, meaning that host-microbiome mutualisms can emerge from community interactions among microbes on hosts. The effects of community inoculation were sub-additive, suggesting at least some competition among microbes in the duckweed microbiome. We also investigated the relationship between L. minor fitness and that of its microbes, providing some of the first empirical estimates of broad fitness alignment between plants and members of their microbiomes; hosts grew faster with more productive microbes or microbiomes. IMPORTANCE There is currently substantial interest in engineering synthetic microbiomes for health or agricultural applications. One key question is how multi-strain microbial communities differ from single microbial strains in their productivity and effects on hosts. We tested 20 single bacterial strains and 2 distinct 10-strain synthetic communities on plant hosts and found that 10-strain communities led to faster host growth and greater microbial productivity than the average, but not the best, single strain. Furthermore, the microbial strains or communities that achieved the greatest cell densities were also the most beneficial to their hosts, showing that both specific single strains and multi-strain synthetic communities can engage in high-quality mutualisms with their hosts. Our results suggest that ~5% of single strains, as well as multi-strain synthetic communities comprised largely of commensal microbes, can benefit hosts and result in effective host-microbe mutualisms.
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Affiliation(s)
- Jason R. Laurich
- Department of Ecology
& Evolutionary Biology, University of
Toronto, Toronto,
Ontario, Canada
| | - Emma Lash
- Department of Ecology
& Evolutionary Biology, University of
Toronto, Toronto,
Ontario, Canada
| | - Anna M. O'Brien
- Department of Ecology
& Evolutionary Biology, University of
Toronto, Toronto,
Ontario, Canada
- Department of
Molecular, Cellular, and Biomedical Sciences, University of New
Hampshire, Durham,
New Hampshire, USA
| | - Oxana Pogoutse
- Department of Ecology
& Evolutionary Biology, University of
Toronto, Toronto,
Ontario, Canada
| | - Megan E. Frederickson
- Department of Ecology
& Evolutionary Biology, University of
Toronto, Toronto,
Ontario, Canada
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11
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Meroz N, Livny T, Friedman J. Quantifying microbial interactions: concepts, caveats, and applications. Curr Opin Microbiol 2024; 80:102511. [PMID: 39002491 DOI: 10.1016/j.mib.2024.102511] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/11/2024] [Revised: 06/10/2024] [Accepted: 06/25/2024] [Indexed: 07/15/2024]
Abstract
Microbial communities are fundamental to every ecosystem on Earth and hold great potential for biotechnological applications. However, their complex nature hampers our ability to study and understand them. A common strategy to tackle this complexity is to abstract the community into a network of interactions between its members - a phenomenological description that captures the overall effects of various chemical and physical mechanisms that underpin these relationships. This approach has proven useful for numerous applications in microbial ecology, including predicting community dynamics and stability and understanding community assembly and evolution. However, care is required in quantifying and interpreting interactions. Here, we clarify the concept of an interaction and discuss when interaction measurements are useful despite their context-dependent nature. Furthermore, we categorize different approaches for quantifying interactions, highlighting the research objectives each approach is best suited for.
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Affiliation(s)
- Nittay Meroz
- Institute of Environmental Sciences, Hebrew University, Rehovot
| | - Tal Livny
- Institute of Environmental Sciences, Hebrew University, Rehovot; Department of Immunology and Regenerative Biology, Weizmann Institute, Rehovot
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12
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Doloman A, Sousa DZ. Mechanisms of microbial co-aggregation in mixed anaerobic cultures. Appl Microbiol Biotechnol 2024; 108:407. [PMID: 38963458 PMCID: PMC11224092 DOI: 10.1007/s00253-024-13246-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/02/2024] [Revised: 06/24/2024] [Accepted: 06/27/2024] [Indexed: 07/05/2024]
Abstract
Co-aggregation of anaerobic microorganisms into suspended microbial biofilms (aggregates) serves ecological and biotechnological functions. Tightly packed aggregates of metabolically interdependent bacteria and archaea play key roles in cycling of carbon and nitrogen. Additionally, in biotechnological applications, such as wastewater treatment, microbial aggregates provide a complete metabolic network to convert complex organic material. Currently, experimental data explaining the mechanisms behind microbial co-aggregation in anoxic environments is scarce and scattered across the literature. To what extent does this process resemble co-aggregation in aerobic environments? Does the limited availability of terminal electron acceptors drive mutualistic microbial relationships, contrary to the commensal relationships observed in oxygen-rich environments? And do co-aggregating bacteria and archaea, which depend on each other to harvest the bare minimum Gibbs energy from energy-poor substrates, use similar cellular mechanisms as those used by pathogenic bacteria that form biofilms? Here, we provide an overview of the current understanding of why and how mixed anaerobic microbial communities co-aggregate and discuss potential future scientific advancements that could improve the study of anaerobic suspended aggregates. KEY POINTS: • Metabolic dependency promotes aggregation of anaerobic bacteria and archaea • Flagella, pili, and adhesins play a role in the formation of anaerobic aggregates • Cyclic di-GMP/AMP signaling may trigger the polysaccharides production in anaerobes.
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Affiliation(s)
- Anna Doloman
- Laboratory of Microbiology, Wageningen University & Research, Stippeneng 4, 6708 WE, Wageningen, The Netherlands.
| | - Diana Z Sousa
- Laboratory of Microbiology, Wageningen University & Research, Stippeneng 4, 6708 WE, Wageningen, The Netherlands
- Centre for Living Technologies, Eindhoven-Wageningen-Utrecht Alliance, Princetonlaan 6, 3584 CB, Utrecht, The Netherlands
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13
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Wang X, Wu Y, Fu C, Zhao W, Li L. Metabolic cross-feeding between the competent degrader Rhodococcus sp. strain p52 and an incompetent partner during catabolism of dibenzofuran: Understanding the leading and supporting roles. JOURNAL OF HAZARDOUS MATERIALS 2024; 471:134310. [PMID: 38640677 DOI: 10.1016/j.jhazmat.2024.134310] [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: 02/02/2024] [Revised: 04/12/2024] [Accepted: 04/14/2024] [Indexed: 04/21/2024]
Abstract
Microbial interactions, particularly metabolic cross-feeding, play important roles in removing recalcitrant environmental pollutants; however, the underlying mechanisms involved in this process remain unclear. Thus, this study aimed to elucidate the mechanism by which metabolic cross-feeding occurs during synergistic dibenzofuran degradation between a highly efficient degrader, Rhodococcus sp. strain p52, and a partner incapable of utilizing dibenzofuran. A bottom-up approach combined with pairwise coculturing was used to examine metabolic cross-feeding between strain p52 and Arthrobacter sp. W06 or Achromobacter sp. D10. Pairwise coculture not only promoted bacterial pair growth but also facilitated dibenzofuran degradation. Specifically, strain p52, acting as a donor, released dibenzofuran metabolic intermediates, including salicylic acid and gentisic acid, for utilization and growth, respectively, by the partner strains W06 and D10. Both salicylic acid and gentisic acid exhibited biotoxicity, and their accumulation inhibited dibenzofuran degradation. The transcriptional activity of the genes responsible for the catabolism of dibenzofuran and its metabolic intermediates was coordinately regulated in strain p52 and its cocultivated partners, thus achieving synergistic dibenzofuran degradation. This study provides insights into microbial metabolic cross-feeding during recalcitrant environmental pollutant removal.
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Affiliation(s)
- Xudi Wang
- Shandong Provincial Key Laboratory of Water Pollution Control and Resource Reuse, School of Environmental Science and Engineering, Shandong University, Qingdao, China
| | - Yanan Wu
- Shandong Provincial Key Laboratory of Water Pollution Control and Resource Reuse, School of Environmental Science and Engineering, Shandong University, Qingdao, China
| | - Changai Fu
- Shandong Provincial Key Laboratory of Water Pollution Control and Resource Reuse, School of Environmental Science and Engineering, Shandong University, Qingdao, China
| | - Wenhui Zhao
- Shandong Provincial Key Laboratory of Water Pollution Control and Resource Reuse, School of Environmental Science and Engineering, Shandong University, Qingdao, China
| | - Li Li
- Shandong Provincial Key Laboratory of Water Pollution Control and Resource Reuse, School of Environmental Science and Engineering, Shandong University, Qingdao, China.
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14
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Ruan Z, Chen K, Cao W, Meng L, Yang B, Xu M, Xing Y, Li P, Freilich S, Chen C, Gao Y, Jiang J, Xu X. Engineering natural microbiomes toward enhanced bioremediation by microbiome modeling. Nat Commun 2024; 15:4694. [PMID: 38824157 PMCID: PMC11144243 DOI: 10.1038/s41467-024-49098-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/26/2022] [Accepted: 05/21/2024] [Indexed: 06/03/2024] Open
Abstract
Engineering natural microbiomes for biotechnological applications remains challenging, as metabolic interactions within microbiomes are largely unknown, and practical principles and tools for microbiome engineering are still lacking. Here, we present a combinatory top-down and bottom-up framework to engineer natural microbiomes for the construction of function-enhanced synthetic microbiomes. We show that application of herbicide and herbicide-degrader inoculation drives a convergent succession of different natural microbiomes toward functional microbiomes (e.g., enhanced bioremediation of herbicide-contaminated soils). We develop a metabolic modeling pipeline, SuperCC, that can be used to document metabolic interactions within microbiomes and to simulate the performances of different microbiomes. Using SuperCC, we construct bioremediation-enhanced synthetic microbiomes based on 18 keystone species identified from natural microbiomes. Our results highlight the importance of metabolic interactions in shaping microbiome functions and provide practical guidance for engineering natural microbiomes.
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Affiliation(s)
- Zhepu Ruan
- Department of Microbiology, College of Life Sciences, Nanjing Agricultural University, Key Laboratory of Agricultural and Environmental Microbiology, Ministry of Agriculture and Rural Affairs, Nanjing, 210095, China
- Guangdong Laboratory for Lingnan Modern Agriculture, Guangdong Provincial Key Laboratory of Agricultural & Rural Pollution Abatement and Environmental Safety, College of Natural Resources and Environment, South China Agricultural University, Guangzhou, 510642, China
| | - Kai Chen
- Department of Microbiology, College of Life Sciences, Nanjing Agricultural University, Key Laboratory of Agricultural and Environmental Microbiology, Ministry of Agriculture and Rural Affairs, Nanjing, 210095, China
| | - Weimiao Cao
- Department of Microbiology, College of Life Sciences, Nanjing Agricultural University, Key Laboratory of Agricultural and Environmental Microbiology, Ministry of Agriculture and Rural Affairs, Nanjing, 210095, China
| | - Lei Meng
- Department of Microbiology, College of Life Sciences, Nanjing Agricultural University, Key Laboratory of Agricultural and Environmental Microbiology, Ministry of Agriculture and Rural Affairs, Nanjing, 210095, China
| | - Bingang Yang
- Department of Microbiology, College of Life Sciences, Nanjing Agricultural University, Key Laboratory of Agricultural and Environmental Microbiology, Ministry of Agriculture and Rural Affairs, Nanjing, 210095, China
| | - Mengjun Xu
- Department of Microbiology, College of Life Sciences, Nanjing Agricultural University, Key Laboratory of Agricultural and Environmental Microbiology, Ministry of Agriculture and Rural Affairs, Nanjing, 210095, China
| | - Youwen Xing
- Department of Microbiology, College of Life Sciences, Nanjing Agricultural University, Key Laboratory of Agricultural and Environmental Microbiology, Ministry of Agriculture and Rural Affairs, Nanjing, 210095, China
| | - Pengfa Li
- Department of Microbiology, College of Life Sciences, Nanjing Agricultural University, Key Laboratory of Agricultural and Environmental Microbiology, Ministry of Agriculture and Rural Affairs, Nanjing, 210095, China
| | - Shiri Freilich
- Newe Ya'ar Research Center, Agricultural Research Organization, P.O. Box 1021, Ramat Yishay, 30095, Israel
| | - Chen Chen
- Department of Microbiology, College of Life Sciences, Nanjing Agricultural University, Key Laboratory of Agricultural and Environmental Microbiology, Ministry of Agriculture and Rural Affairs, Nanjing, 210095, China
| | - Yanzheng Gao
- College of Resources and Environmental Sciences, Nanjing Agricultural University, Nanjing, 210095, China.
| | - Jiandong Jiang
- Department of Microbiology, College of Life Sciences, Nanjing Agricultural University, Key Laboratory of Agricultural and Environmental Microbiology, Ministry of Agriculture and Rural Affairs, Nanjing, 210095, China.
| | - Xihui Xu
- Department of Microbiology, College of Life Sciences, Nanjing Agricultural University, Key Laboratory of Agricultural and Environmental Microbiology, Ministry of Agriculture and Rural Affairs, Nanjing, 210095, China.
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15
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Neuhaus GF, Aron AT, Isemonger EW, Petras D, Waterworth SC, Madonsela LS, Gentry EC, Siwe Noundou X, Kalinski JCJ, Polyzois A, Habiyaremye JC, Redick MA, Kwan JC, Dorrington RA, Dorrestein PC, McPhail KL. Environmental metabolomics characterization of modern stromatolites and annotation of ibhayipeptolides. PLoS One 2024; 19:e0303273. [PMID: 38781236 PMCID: PMC11115249 DOI: 10.1371/journal.pone.0303273] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/06/2023] [Accepted: 04/22/2024] [Indexed: 05/25/2024] Open
Abstract
Lithified layers of complex microbial mats known as microbialites are ubiquitous in the fossil record, and modern forms are increasingly identified globally. A key challenge to developing an understanding of microbialite formation and environmental role is how to investigate complex and diverse communities in situ. We selected living, layered microbialites (stromatolites) in a peritidal environment near Schoenmakerskop, Eastern Cape, South Africa to conduct a spatial survey mapping the composition and small molecule production of the microbial communities from environmental samples. Substrate core samples were collected from nine sampling stations ranging from the upper point of the freshwater inflow to the lower marine interface where tidal overtopping takes place. Substrate cores provided material for parallel analyses of microbial community diversity by 16S rRNA gene amplicon sequencing and metabolomics using LC-MS2. Species and metabolite diversities were correlated, and prominent specialized metabolites were targeted for preliminary characterization. A new series of cyclic hexadepsipeptides, named ibhayipeptolides, was most abundant in substrate cores of submerged microbialites. These results demonstrate the detection and identification of metabolites from mass-limited environmental samples and contribute knowledge about microbialite chemistry and biology, which facilitates future targeted studies of specialized metabolite function and biosynthesis.
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Affiliation(s)
- George F. Neuhaus
- Department of Pharmaceutical Sciences, College of Pharmacy, Oregon State University, Corvallis, Oregon, United States of America
| | - Allegra T. Aron
- Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California San Diego, La Jolla, San Diego, CA, United States of America
- Collaborative Mass Spectrometry Innovation Center, Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California San Diego, La Jolla, CA, United States of America
| | - Eric W. Isemonger
- Department of Biochemistry and Microbiology, Rhodes University, Makhanda, South Africa
| | - Daniel Petras
- Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California San Diego, La Jolla, San Diego, CA, United States of America
- Collaborative Mass Spectrometry Innovation Center, Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California San Diego, La Jolla, CA, United States of America
| | - Samantha C. Waterworth
- Division of Pharmaceutical Sciences, University of Wisconsin, Madison, WI, United States of America
| | - Luthando S. Madonsela
- Department of Biochemistry and Microbiology, Rhodes University, Makhanda, South Africa
| | - Emily C. Gentry
- Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California San Diego, La Jolla, San Diego, CA, United States of America
- Collaborative Mass Spectrometry Innovation Center, Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California San Diego, La Jolla, CA, United States of America
| | - Xavier Siwe Noundou
- Department of Biochemistry and Microbiology, Rhodes University, Makhanda, South Africa
| | | | - Alexandros Polyzois
- Department of Biochemistry and Microbiology, Rhodes University, Makhanda, South Africa
| | - Julius C. Habiyaremye
- Department of Pharmaceutical Sciences, College of Pharmacy, Oregon State University, Corvallis, Oregon, United States of America
| | - Margaret A. Redick
- Department of Pharmaceutical Sciences, College of Pharmacy, Oregon State University, Corvallis, Oregon, United States of America
| | - Jason C. Kwan
- Division of Pharmaceutical Sciences, University of Wisconsin, Madison, WI, United States of America
| | | | - Pieter C. Dorrestein
- Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California San Diego, La Jolla, San Diego, CA, United States of America
- Collaborative Mass Spectrometry Innovation Center, Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California San Diego, La Jolla, CA, United States of America
| | - Kerry L. McPhail
- Department of Pharmaceutical Sciences, College of Pharmacy, Oregon State University, Corvallis, Oregon, United States of America
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16
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Zhu L, Wang X, Liu L, Le B, Tan C, Dong C, Yao X, Hu B. Fungi play a crucial role in sustaining microbial networks and accelerating organic matter mineralization and humification during thermophilic phase of composting. ENVIRONMENTAL RESEARCH 2024; 254:119155. [PMID: 38754614 DOI: 10.1016/j.envres.2024.119155] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/09/2024] [Revised: 05/14/2024] [Accepted: 05/14/2024] [Indexed: 05/18/2024]
Abstract
Fungi play an important role in the mineralization and humification of refractory organic matter such as lignocellulose during composting. However, limited research on the ecological role of fungi in composting system hindered the development of efficient microbial agents. In this study, six groups of lab-scale composting experiments were conducted to reveal the role of fungal community in composting ecosystems by comparing them with bacterial community. The findings showed that the thermophilic phase was crucial for organic matter degradation and humic acid formation. The Richness index of the fungal community peaked at 1165 during this phase. PCoA analysis revealed a robust thermal stability in the fungal community. Despite temperature fluctuations, the community structure, predominantly governed by Pichia and Candida, remained largely unaltered. The stability of fungal community and the complexity of ecological networks were 1.26 times and 5.15 times higher than those observed in bacterial community, respectively. Fungi-bacteria interdomain interaction markedly enhanced network complexity, contributing to maintain microbial ecological functions. The core fungal species belonging to the family Saccharomycetaceae drove interdomain interaction during thermophilic phase. This study demonstrated the key role of fungi in the composting system, which would provide theoretical guidance for the development of high efficiency composting agents to strengthen the mineralization and humification of organic matter.
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Affiliation(s)
- Lin Zhu
- Key Laboratory of Environment Remediation and Ecological Health, Ministry of Education, College of Environmental Resource Sciences, Zhejiang University, Hangzhou, China; College of Environmental & Resource Sciences, Zhejiang University, Hangzhou, 310058, China
| | - Xiaohan Wang
- College of Environmental & Resource Sciences, Zhejiang University, Hangzhou, 310058, China
| | - Liyuan Liu
- College of Environmental & Resource Sciences, Zhejiang University, Hangzhou, 310058, China
| | - Boyi Le
- College of Environmental & Resource Sciences, Zhejiang University, Hangzhou, 310058, China
| | - Chunxu Tan
- College of Environmental & Resource Sciences, Zhejiang University, Hangzhou, 310058, China
| | - Chifei Dong
- College of Environmental & Resource Sciences, Zhejiang University, Hangzhou, 310058, China
| | - Xiangwu Yao
- College of Environmental & Resource Sciences, Zhejiang University, Hangzhou, 310058, China
| | - Baolan Hu
- Key Laboratory of Environment Remediation and Ecological Health, Ministry of Education, College of Environmental Resource Sciences, Zhejiang University, Hangzhou, China; College of Environmental & Resource Sciences, Zhejiang University, Hangzhou, 310058, China; Zhejiang Province Key Laboratory for Water Pollution Control and Environmental Safety, Hangzhou, China.
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17
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Meng X, Dong Q, Wang B, Ni Z, Zhang X, Liu C, Yu W, Liu J, Shi X, Xu D, Duan Y. Effect of Glycolipids Application Combined with Nitrogen Fertilizer Reduction on Maize Nitrogen Use Efficiency and Yield. PLANTS (BASEL, SWITZERLAND) 2024; 13:1222. [PMID: 38732437 PMCID: PMC11085625 DOI: 10.3390/plants13091222] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/29/2024] [Revised: 04/26/2024] [Accepted: 04/26/2024] [Indexed: 05/13/2024]
Abstract
Microbial-driven N turnover is important in regulating N fertilizer use efficiency through the secretion of metabolites like glycolipids. Currently, our understanding of the potential of glycolipids to partially reduce N fertilizer use and the effects of glycolipids on crop yield and N use efficiency is still limited. Here, a three-year in situ field experiment was conducted with seven treatments: no fertilization (CK); chemical N, phosphorus and potassium (NPK); NPK plus glycolipids (N+PKT); and PK plus glycolipids with 10% (0.9 N+PKT), 20% (0.8 N+PKT), 30% (0.7 N+PKT), and 100% (PKT) N reduction. Compared with NPK, glycolipids with 0-20% N reduction did not significantly reduce maize yields, and also increased N uptake by 6.26-11.07%, but no significant changes in grain or straw N uptake. The N resorption efficiency under 0.9 N+PKT was significantly greater than that under NPK, while the apparent utilization rates of N fertilizer and partial factor productivity of N under 0.9 N+PKT were significantly greater than those under NPK. Although 0.9 N+PKT led to additional labor and input costs, compared with NPK, it had a greater net economic benefit. Our study demonstrates the potential for using glycolipids in agroecosystem management and provides theoretical support for optimizing fertilization strategies.
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Affiliation(s)
- Xianghai Meng
- Mudanjiang Branch, Heilongjiang Academy of Agricultural Sciences, Mudanjiang 157000, China; (X.M.); (Q.D.); (B.W.); (X.Z.); (C.L.); (W.Y.); (X.S.); (D.X.)
| | - Qingshan Dong
- Mudanjiang Branch, Heilongjiang Academy of Agricultural Sciences, Mudanjiang 157000, China; (X.M.); (Q.D.); (B.W.); (X.Z.); (C.L.); (W.Y.); (X.S.); (D.X.)
| | - Baicheng Wang
- Mudanjiang Branch, Heilongjiang Academy of Agricultural Sciences, Mudanjiang 157000, China; (X.M.); (Q.D.); (B.W.); (X.Z.); (C.L.); (W.Y.); (X.S.); (D.X.)
| | - Zheng Ni
- The Centre for Ion Beam Bioengineering Green Agriculture, Hefei Institutes of Physical Science, Chinese Academy of Sciences, Hefei 230031, China;
| | - Xingzhe Zhang
- Mudanjiang Branch, Heilongjiang Academy of Agricultural Sciences, Mudanjiang 157000, China; (X.M.); (Q.D.); (B.W.); (X.Z.); (C.L.); (W.Y.); (X.S.); (D.X.)
| | - Chunguang Liu
- Mudanjiang Branch, Heilongjiang Academy of Agricultural Sciences, Mudanjiang 157000, China; (X.M.); (Q.D.); (B.W.); (X.Z.); (C.L.); (W.Y.); (X.S.); (D.X.)
| | - Wenquan Yu
- Mudanjiang Branch, Heilongjiang Academy of Agricultural Sciences, Mudanjiang 157000, China; (X.M.); (Q.D.); (B.W.); (X.Z.); (C.L.); (W.Y.); (X.S.); (D.X.)
| | - Jie Liu
- Heilongjiang Academy of Black Soil Conservation & Utilization, Harbin 150086, China;
| | - Xinrui Shi
- Mudanjiang Branch, Heilongjiang Academy of Agricultural Sciences, Mudanjiang 157000, China; (X.M.); (Q.D.); (B.W.); (X.Z.); (C.L.); (W.Y.); (X.S.); (D.X.)
| | - Dehai Xu
- Mudanjiang Branch, Heilongjiang Academy of Agricultural Sciences, Mudanjiang 157000, China; (X.M.); (Q.D.); (B.W.); (X.Z.); (C.L.); (W.Y.); (X.S.); (D.X.)
| | - Yan Duan
- The Centre for Ion Beam Bioengineering Green Agriculture, Hefei Institutes of Physical Science, Chinese Academy of Sciences, Hefei 230031, China;
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18
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Bishop SL, Solonenka JT, Giebelhaus RT, Bakker DTR, Li ITS, Murch SJ. Microbial Diversity Impacts Non-Protein Amino Acid Production in Cyanobacterial Bloom Cultures Collected from Lake Winnipeg. Toxins (Basel) 2024; 16:169. [PMID: 38668594 PMCID: PMC11053616 DOI: 10.3390/toxins16040169] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/14/2024] [Revised: 03/10/2024] [Accepted: 03/20/2024] [Indexed: 04/29/2024] Open
Abstract
Lake Winnipeg in Manitoba, Canada is heavily impacted by harmful algal blooms that contain non-protein amino acids (NPAAs) produced by cyanobacteria: N-(2-aminoethyl)glycine (AEG), β-aminomethyl-L-alanine (BAMA), β-N-methylamino-L-alanine (BMAA), and 2,4-diaminobutyric acid (DAB). Our objective was to investigate the impact of microbial diversity on NPAA production by cyanobacteria using semi-purified crude cyanobacterial cultures established from field samples collected by the Lake Winnipeg Research Consortium between 2016 and 2021. NPAAs were detected and quantified by ultra-performance liquid chromatography-tandem mass spectrometry (UPLC-MS/MS) using validated analytical methods, while Shannon and Simpson alpha diversity scores were determined from 16S rRNA metagenomic sequences. Alpha diversity in isolate cultures was significantly decreased compared to crude cyanobacterial cultures (p < 0.001), indicating successful semi-purification. BMAA and AEG concentrations were higher in crude compared to isolate cultures (p < 0.0001), and AEG concentrations were correlated to the alpha diversity in cultures (r = 0.554; p < 0.0001). BAMA concentrations were increased in isolate cultures (p < 0.05), while DAB concentrations were similar in crude and isolate cultures. These results demonstrate that microbial community complexity impacts NPAA production by cyanobacteria and related organisms.
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Affiliation(s)
- Stephanie L. Bishop
- Department of Chemistry, University of British Columbia, Syilx Okanagan Nation Territory, Kelowna, BC V1V 1V7, Canada; (J.T.S.); (R.T.G.); (D.T.R.B.); (I.T.S.L.); (S.J.M.)
- Department of Biological Sciences, University of Calgary, Calgary, AB T2N 1N4, Canada
| | - Julia T. Solonenka
- Department of Chemistry, University of British Columbia, Syilx Okanagan Nation Territory, Kelowna, BC V1V 1V7, Canada; (J.T.S.); (R.T.G.); (D.T.R.B.); (I.T.S.L.); (S.J.M.)
| | - Ryland T. Giebelhaus
- Department of Chemistry, University of British Columbia, Syilx Okanagan Nation Territory, Kelowna, BC V1V 1V7, Canada; (J.T.S.); (R.T.G.); (D.T.R.B.); (I.T.S.L.); (S.J.M.)
- Department of Chemistry, University of Alberta, Edmonton, AB T6G 2N4, Canada
- The Metabolomics Innovation Centre, Edmonton, AB T6G 2N4, Canada
| | - David T. R. Bakker
- Department of Chemistry, University of British Columbia, Syilx Okanagan Nation Territory, Kelowna, BC V1V 1V7, Canada; (J.T.S.); (R.T.G.); (D.T.R.B.); (I.T.S.L.); (S.J.M.)
| | - Isaac T. S. Li
- Department of Chemistry, University of British Columbia, Syilx Okanagan Nation Territory, Kelowna, BC V1V 1V7, Canada; (J.T.S.); (R.T.G.); (D.T.R.B.); (I.T.S.L.); (S.J.M.)
| | - Susan J. Murch
- Department of Chemistry, University of British Columbia, Syilx Okanagan Nation Territory, Kelowna, BC V1V 1V7, Canada; (J.T.S.); (R.T.G.); (D.T.R.B.); (I.T.S.L.); (S.J.M.)
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19
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Geesink P, ter Horst J, Ettema TJG. More than the sum of its parts: uncovering emerging effects of microbial interactions in complex communities. FEMS Microbiol Ecol 2024; 100:fiae029. [PMID: 38444203 PMCID: PMC10950044 DOI: 10.1093/femsec/fiae029] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2023] [Revised: 03/01/2024] [Accepted: 03/04/2024] [Indexed: 03/07/2024] Open
Abstract
Microbial communities are not only shaped by the diversity of microorganisms and their individual metabolic potential, but also by the vast amount of intra- and interspecies interactions that can occur pairwise interactions among microorganisms, we suggest that more attention should be drawn towards the effects on the entire microbiome that emerge from individual interactions between community members. The production of certain metabolites that can be tied to a specific microbe-microbe interaction might subsequently influence the physicochemical parameters of the habitat, stimulate a change in the trophic network of the community or create new micro-habitats through the formation of biofilms, similar to the production of antimicrobial substances which might negatively affect only one microorganism but cause a ripple effect on the abundance of other community members. Here, we argue that combining established as well as innovative laboratory and computational methods is needed to predict novel interactions and assess their secondary effects. Such efforts will enable future microbiome studies to expand our knowledge on the dynamics of complex microbial communities.
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Affiliation(s)
- Patricia Geesink
- Laboratory of Microbiology, Wageningen University & Research, Stippeneng 4, 6708 WE Wageningen, The Netherlands
| | - Jolanda ter Horst
- Laboratory of Microbiology, Wageningen University & Research, Stippeneng 4, 6708 WE Wageningen, The Netherlands
| | - Thijs J G Ettema
- Laboratory of Microbiology, Wageningen University & Research, Stippeneng 4, 6708 WE Wageningen, The Netherlands
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20
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Peng H, Darlington APS, South EJ, Chen HH, Jiang W, Ledesma-Amaro R. A molecular toolkit of cross-feeding strains for engineering synthetic yeast communities. Nat Microbiol 2024; 9:848-863. [PMID: 38326570 PMCID: PMC10914607 DOI: 10.1038/s41564-023-01596-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/28/2023] [Accepted: 12/18/2023] [Indexed: 02/09/2024]
Abstract
Engineered microbial consortia often have enhanced system performance and robustness compared with single-strain biomanufacturing production platforms. However, few tools are available for generating co-cultures of the model and key industrial host Saccharomyces cerevisiae. Here we engineer auxotrophic and overexpression yeast strains that can be used to create co-cultures through exchange of essential metabolites. Using these strains as modules, we engineered two- and three-member consortia using different cross-feeding architectures. Through a combination of ensemble modelling and experimentation, we explored how cellular (for example, metabolite production strength) and environmental (for example, initial population ratio, population density and extracellular supplementation) factors govern population dynamics in these systems. We tested the use of the toolkit in a division of labour biomanufacturing case study and show that it enables enhanced and tuneable antioxidant resveratrol production. We expect this toolkit to become a useful resource for a variety of applications in synthetic ecology and biomanufacturing.
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Affiliation(s)
- Huadong Peng
- Department of Bioengineering, Imperial College London, London, UK
- Imperial College Centre for Synthetic Biology, Imperial College London, London, UK
- The Novo Nordisk Foundation Center for Biosustainability, Technical University of Denmark, Kongens Lyngby, Denmark
| | - Alexander P S Darlington
- Warwick Integrative Synthetic Biology Centre, School of Engineering, University of Warwick, Coventry, UK
| | - Eric J South
- Molecular Biology, Cell Biology and Biochemistry Program, Boston University, Boston, MA, USA
| | - Hao-Hong Chen
- Department of Bioengineering, Imperial College London, London, UK
- Imperial College Centre for Synthetic Biology, Imperial College London, London, UK
- School of Food Science and Engineering, South China University of Technology, Guangzhou, China
| | - Wei Jiang
- Department of Bioengineering, Imperial College London, London, UK
- Imperial College Centre for Synthetic Biology, Imperial College London, London, UK
- The Novo Nordisk Foundation Center for Biosustainability, Technical University of Denmark, Kongens Lyngby, Denmark
| | - Rodrigo Ledesma-Amaro
- Department of Bioengineering, Imperial College London, London, UK.
- Imperial College Centre for Synthetic Biology, Imperial College London, London, UK.
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21
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Hesse E, O’Brien S. Ecological dependencies and the illusion of cooperation in microbial communities. MICROBIOLOGY (READING, ENGLAND) 2024; 170:001442. [PMID: 38385784 PMCID: PMC10924460 DOI: 10.1099/mic.0.001442] [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: 11/24/2023] [Accepted: 02/09/2024] [Indexed: 02/23/2024]
Abstract
Ecological dependencies - where organisms rely on other organisms for survival - are a ubiquitous feature of life on earth. Multicellular hosts rely on symbionts to provide essential vitamins and amino acids. Legume plants similarly rely on nitrogen-fixing rhizobia to convert atmospheric nitrogen to ammonia. In some cases, dependencies can arise via loss-of-function mutations that allow one partner to benefit from the actions of another. It is common in microbiology to label ecological dependencies between species as cooperation - making it necessary to invoke cooperation-specific frameworks to explain the phenomenon. However, in many cases, such traits are not (at least initially) cooperative, because they are not selected for because of the benefits they confer on a partner species. In contrast, dependencies in microbial communities may originate from fitness benefits gained from genomic-streamlining (i.e. Black Queen Dynamics). Here, we outline how the Black Queen Hypothesis predicts the formation of metabolic dependencies via loss-of-function mutations in microbial communities, without needing to invoke any cooperation-specific explanations. Furthermore we outline how the Black Queen Hypothesis can act as a blueprint for true cooperation as well as discuss key outstanding questions in the field. The nature of interactions in microbial communities can predict the ability of natural communities to withstand and recover from disturbances. Hence, it is vital to gain a deeper understanding of the factors driving these dynamic interactions over evolutionary time.
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Affiliation(s)
- Elze Hesse
- College of Life and Environmental Science, University of Exeter, Penryn, Cornwall, TR10 9FE, UK
| | - Siobhán O’Brien
- Moyne Institute of Preventive Medicine, Department of Microbiology, School of Genetics and Microbiology, Trinity College Dublin, Dublin 2, Ireland
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22
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Yang N, Røder HL, Wicaksono WA, Wassermann B, Russel J, Li X, Nesme J, Berg G, Sørensen SJ, Burmølle M. Interspecific interactions facilitate keystone species in a multispecies biofilm that promotes plant growth. THE ISME JOURNAL 2024; 18:wrae012. [PMID: 38365935 PMCID: PMC10938371 DOI: 10.1093/ismejo/wrae012] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/19/2023] [Revised: 01/04/2024] [Accepted: 01/29/2024] [Indexed: 02/18/2024]
Abstract
Microorganisms colonizing plant roots co-exist in complex, spatially structured multispecies biofilm communities. However, little is known about microbial interactions and the underlying spatial organization within biofilm communities established on plant roots. Here, a well-established four-species biofilm model (Stenotrophomonas rhizophila, Paenibacillus amylolyticus, Microbacterium oxydans, and Xanthomonas retroflexus, termed as SPMX) was applied to Arabidopsis roots to study the impact of multispecies biofilm on plant growth and the community spatial dynamics on the roots. SPMX co-culture notably promoted root development and plant biomass. Co-cultured SPMX increased root colonization and formed multispecies biofilms, structurally different from those formed by monocultures. By combining 16S rRNA gene amplicon sequencing and fluorescence in situ hybridization with confocal laser scanning microscopy, we found that the composition and spatial organization of the four-species biofilm significantly changed over time. Monoculture P. amylolyticus colonized plant roots poorly, but its population and root colonization were highly enhanced when residing in the four-species biofilm. Exclusion of P. amylolyticus from the community reduced overall biofilm production and root colonization of the three species, resulting in the loss of the plant growth-promoting effects. Combined with spatial analysis, this led to identification of P. amylolyticus as a keystone species. Our findings highlight that weak root colonizers may benefit from mutualistic interactions in complex communities and hereby become important keystone species impacting community spatial organization and function. This work expands the knowledge on spatial organization uncovering interspecific interactions in multispecies biofilm communities on plant roots, beneficial for harnessing microbial mutualism promoting plant growth.
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Affiliation(s)
- Nan Yang
- Section of Microbiology, Department of Biology, University of Copenhagen, Copenhagen 2100, Denmark
| | - Henriette L Røder
- Section of Microbiology, Department of Biology, University of Copenhagen, Copenhagen 2100, Denmark
- Section for Microbiology and Fermentation, Department of Food Science, University of Copenhagen, Copenhagen 2100, Denmark
| | - Wisnu Adi Wicaksono
- Institute of Environmental Biotechnology, Graz University of Technology, Graz 8010, Austria
| | - Birgit Wassermann
- Institute of Environmental Biotechnology, Graz University of Technology, Graz 8010, Austria
| | - Jakob Russel
- Section of Microbiology, Department of Biology, University of Copenhagen, Copenhagen 2100, Denmark
| | - Xuanji Li
- Section of Microbiology, Department of Biology, University of Copenhagen, Copenhagen 2100, Denmark
| | - Joseph Nesme
- Section of Microbiology, Department of Biology, University of Copenhagen, Copenhagen 2100, Denmark
| | - Gabriele Berg
- Institute of Environmental Biotechnology, Graz University of Technology, Graz 8010, Austria
| | - Søren J Sørensen
- Section of Microbiology, Department of Biology, University of Copenhagen, Copenhagen 2100, Denmark
| | - Mette Burmølle
- Section of Microbiology, Department of Biology, University of Copenhagen, Copenhagen 2100, Denmark
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23
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Lee SM, Thapa Magar R, Jung MK, Kong HG, Song JY, Kwon JH, Choi M, Lee HJ, Lee SY, Khan R, Kim JF, Lee SW. Rhizobacterial syntrophy between a helper and a beneficiary promotes tomato plant health. THE ISME JOURNAL 2024; 18:wrae120. [PMID: 38952008 PMCID: PMC11253211 DOI: 10.1093/ismejo/wrae120] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/14/2024] [Revised: 06/17/2024] [Accepted: 06/28/2024] [Indexed: 07/03/2024]
Abstract
Microbial interactions impact the functioning of microbial communities. However, microbial interactions within host-associated communities remain poorly understood. Here, we report that the beneficiary rhizobacterium Niallia sp. RD1 requires the helper Pseudomonas putida H3 for bacterial growth and beneficial interactions with the plant host. In the absence of the helper H3 strain, the Niallia sp. RD1 strain exhibited weak respiration and elongated cell morphology without forming bacterial colonies. A transposon mutant of H3 in a gene encoding succinate-semialdehyde dehydrogenase displayed much attenuated support of RD1 colony formation. Through the subsequent addition of succinate to the media, we found that succinate serves as a public good that supports RD1 growth. Comparative genome analysis highlighted that RD1 lacked the gene for sufficient succinate, suggesting its evolution as a beneficiary of succinate biosynthesis. The syntrophic interaction between RD1 and H3 efficiently protected tomato plants from bacterial wilt and promoted tomato growth. The addition of succinate to the medium restored complex II-dependent respiration in RD1 and facilitated the cultivation of various bacterial isolates from the rhizosphere. Taken together, we delineate energy auxotrophic beneficiaries ubiquitous in the microbial community, and these beneficiaries could benefit host plants with the aid of helpers in the rhizosphere.
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Affiliation(s)
- Sang-Moo Lee
- Institute of Agricultural Life Sciences, Dong-A University, Busan 49315, Republic of Korea
| | - Roniya Thapa Magar
- Department of Applied Bioscience, Dong-A University, Busan 49315, Republic of Korea
| | - Min Kyeong Jung
- Department of Applied Bioscience, Dong-A University, Busan 49315, Republic of Korea
| | - Hyun Gi Kong
- Department of Applied Bioscience, Dong-A University, Busan 49315, Republic of Korea
- Department of Plant Medicine, Chungbuk National University, Cheongju 28644, Republic of Korea
| | - Ju Yeon Song
- Department of Systems Biology and Institute for Life Science and Biotechnology, Yonsei University, Seoul 03722, Republic of Korea
| | - Joo Hwan Kwon
- Department of Applied Bioscience, Dong-A University, Busan 49315, Republic of Korea
| | - Minseo Choi
- Department of Applied Bioscience, Dong-A University, Busan 49315, Republic of Korea
| | - Hyoung Ju Lee
- Department of Applied Bioscience, Dong-A University, Busan 49315, Republic of Korea
| | - Seung Yeup Lee
- Department of Applied Bioscience, Dong-A University, Busan 49315, Republic of Korea
| | - Raees Khan
- Department of Applied Bioscience, Dong-A University, Busan 49315, Republic of Korea
- Department of Sciences, National University of Medical Sciences, Rawalpindi 46000, Pakistan
| | - Jihyun F Kim
- Department of Systems Biology and Institute for Life Science and Biotechnology, Yonsei University, Seoul 03722, Republic of Korea
- Microbiome Initiative, Yonsei University, Seoul 03722, Republic of Korea
| | - Seon-Woo Lee
- Institute of Agricultural Life Sciences, Dong-A University, Busan 49315, Republic of Korea
- Department of Applied Bioscience, Dong-A University, Busan 49315, Republic of Korea
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24
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Xiong X, Othmer HG, Harcombe WR. Emergent antibiotic persistence in a spatially structured synthetic microbial mutualism. THE ISME JOURNAL 2024; 18:wrae075. [PMID: 38691424 PMCID: PMC11104777 DOI: 10.1093/ismejo/wrae075] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/09/2023] [Revised: 04/02/2024] [Accepted: 04/26/2024] [Indexed: 05/03/2024]
Abstract
Antibiotic persistence (heterotolerance) allows a subpopulation of bacteria to survive antibiotic-induced killing and contributes to the evolution of antibiotic resistance. Although bacteria typically live in microbial communities with complex ecological interactions, little is known about how microbial ecology affects antibiotic persistence. Here, we demonstrated within a synthetic two-species microbial mutualism of Escherichia coli and Salmonella enterica that the combination of cross-feeding and community spatial structure can emergently cause high antibiotic persistence in bacteria by increasing the cell-to-cell heterogeneity. Tracking ampicillin-induced death for bacteria on agar surfaces, we found that E. coli forms up to 55 times more antibiotic persisters in the cross-feeding coculture than in monoculture. This high persistence could not be explained solely by the presence of S. enterica, the presence of cross-feeding, average nutrient starvation, or spontaneous resistant mutations. Time-series fluorescent microscopy revealed increased cell-to-cell variation in E. coli lag time in the mutualistic co-culture. Furthermore, we discovered that an E. coli cell can survive antibiotic killing if the nearby S. enterica cells on which it relies die first. In conclusion, we showed that the high antibiotic persistence phenotype can be an emergent phenomenon caused by a combination of cross-feeding and spatial structure. Our work highlights the importance of considering spatially structured interactions during antibiotic treatment and understanding microbial community resilience more broadly.
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Affiliation(s)
- Xianyi Xiong
- Department of Ecology, Evolution, and Behavior, BioTechnology Institute, University of Minnesota, St. Paul, MN 55108, United States
- Division of Community Health & Epidemiology, University of Minnesota School of Public Health, Minneapolis, MN 55454, United States
| | - Hans G Othmer
- School of Mathematics, University of Minnesota, Minneapolis, MN 55455, United States
| | - William R Harcombe
- Department of Ecology, Evolution, and Behavior, BioTechnology Institute, University of Minnesota, St. Paul, MN 55108, United States
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