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Saier MH. Cooperation and Competition Were Primary Driving Forces for Biological Evolution. Microb Physiol 2025; 35:13-29. [PMID: 39999802 PMCID: PMC11999638 DOI: 10.1159/000544890] [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: 09/20/2024] [Accepted: 02/11/2025] [Indexed: 02/27/2025]
Abstract
BACKGROUND For many years, scientists have accepted Darwin's conclusion that "Survival of the Fittest" involves successful competition with other organisms for life-endowing molecules and conditions. SUMMARY Newly discovered "partial" organisms with minimal genomes that require symbiotic or parasitic relationships for growth and reproduction suggest that cooperation in addition to competition was and still is a primary driving force for survival. These two phenomena are not mutually exclusive, and both can confer a competitive advantage for survival. In fact, cooperation may have been more important in the early evolution of life on earth before autonomous organisms developed, becoming large genome organisms. KEY MESSAGES This suggestion has tremendous consequences with respect to our conception of the early evolution of life on earth as well as the appearance of intercellular interactions, multicellularity and the nature of interactions between humans and their societies (e.g., social Darwinism).
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Affiliation(s)
- Milton H Saier
- Department of Molecular Biology, School of Biological Sciences, University of California at San Diego, La Jolla, California, USA
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2
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Qiu Z, Yuan L, Lian CA, Lin B, Chen J, Mu R, Qiao X, Zhang L, Xu Z, Fan L, Zhang Y, Wang S, Li J, Cao H, Li B, Chen B, Song C, Liu Y, Shi L, Tian Y, Ni J, Zhang T, Zhou J, Zhuang WQ, Yu K. BASALT refines binning from metagenomic data and increases resolution of genome-resolved metagenomic analysis. Nat Commun 2024; 15:2179. [PMID: 38467684 PMCID: PMC10928208 DOI: 10.1038/s41467-024-46539-7] [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: 03/10/2023] [Accepted: 03/01/2024] [Indexed: 03/13/2024] Open
Abstract
Metagenomic binning is an essential technique for genome-resolved characterization of uncultured microorganisms in various ecosystems but hampered by the low efficiency of binning tools in adequately recovering metagenome-assembled genomes (MAGs). Here, we introduce BASALT (Binning Across a Series of Assemblies Toolkit) for binning and refinement of short- and long-read sequencing data. BASALT employs multiple binners with multiple thresholds to produce initial bins, then utilizes neural networks to identify core sequences to remove redundant bins and refine non-redundant bins. Using the same assemblies generated from Critical Assessment of Metagenome Interpretation (CAMI) datasets, BASALT produces up to twice as many MAGs as VAMB, DASTool, or metaWRAP. Processing assemblies from a lake sediment dataset, BASALT produces ~30% more MAGs than metaWRAP, including 21 unique class-level prokaryotic lineages. Functional annotations reveal that BASALT can retrieve 47.6% more non-redundant opening-reading frames than metaWRAP. These results highlight the robust handling of metagenomic sequencing data of BASALT.
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Affiliation(s)
- Zhiguang Qiu
- Eco-environment and Resource Efficiency Research Laboratory, School of Environment and Energy, Shenzhen Graduate School, Peking University, Shenzhen, China
- AI for Science (AI4S)-Preferred Program, Peking University, Shenzhen, China
| | - Li Yuan
- AI for Science (AI4S)-Preferred Program, Peking University, Shenzhen, China
- School of Electronic and Computer Engineering, Peking University, Shenzhen, China
- Peng Cheng Laboratory, Shenzhen, China
| | - Chun-Ang Lian
- Eco-environment and Resource Efficiency Research Laboratory, School of Environment and Energy, Shenzhen Graduate School, Peking University, Shenzhen, China
- AI for Science (AI4S)-Preferred Program, Peking University, Shenzhen, China
| | - Bin Lin
- School of Electronic and Computer Engineering, Peking University, Shenzhen, China
| | - Jie Chen
- AI for Science (AI4S)-Preferred Program, Peking University, Shenzhen, China
- School of Electronic and Computer Engineering, Peking University, Shenzhen, China
- Peng Cheng Laboratory, Shenzhen, China
| | - Rong Mu
- Eco-environment and Resource Efficiency Research Laboratory, School of Environment and Energy, Shenzhen Graduate School, Peking University, Shenzhen, China
| | - Xuejiao Qiao
- Eco-environment and Resource Efficiency Research Laboratory, School of Environment and Energy, Shenzhen Graduate School, Peking University, Shenzhen, China
| | - Liyu Zhang
- Eco-environment and Resource Efficiency Research Laboratory, School of Environment and Energy, Shenzhen Graduate School, Peking University, Shenzhen, China
| | - Zheng Xu
- Southern University of Sciences and Technology Yantian Hospital, Shenzhen, China
- Institute of Biomedicine and Biotechnology, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, Guangdong, China
| | - Lu Fan
- Department of Ocean Science and Engineering, Southern University of Science and Technology (SUSTech), Shenzhen, China
| | - Yunzeng Zhang
- Joint International Research Laboratory of Agriculture and Agri-Product Safety, the Ministry of Education of China, Yangzhou University, Yangzhou, China
| | - Shanquan Wang
- Environmental Microbiomics Research Center, School of Environmental Science and Engineering, Sun Yat-Sen University, Guangzhou, China
| | - Junyi Li
- School of Computer Science and Technology, Harbin Institute of Technology (Shenzhen), Shenzhen, Guangdong, China
| | - Huiluo Cao
- Department of Microbiology, University of Hong Kong, Hong Kong, China
| | - Bing Li
- Shenzhen International Graduate School, Tsinghua University, Shenzhen, China
| | - Baowei Chen
- Guangdong Provincial Key Laboratory of Marine Resources and Coastal Engineering, School of Marine Sciences, Sun Yat-sen University, Zhuhai, China
| | - Chi Song
- Institute of Herbgenomics, Chengdu University of Traditional Chinese Medicine, Chengdu, China
- Wuhan Benagen Technology Co., Ltd, Wuhan, China
| | - Yongxin Liu
- Shenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, China
| | - Lili Shi
- AI for Science (AI4S)-Preferred Program, Peking University, Shenzhen, China
- State Key Laboratory of Chemical Oncogenomics, School of Chemical Biology and Biotechnology, Peking University Shenzhen Graduate School, Shenzhen, China
| | - Yonghong Tian
- AI for Science (AI4S)-Preferred Program, Peking University, Shenzhen, China
- School of Electronic and Computer Engineering, Peking University, Shenzhen, China
- Peng Cheng Laboratory, Shenzhen, China
| | - Jinren Ni
- Eco-environment and Resource Efficiency Research Laboratory, School of Environment and Energy, Shenzhen Graduate School, Peking University, Shenzhen, China
- College of Environmental Sciences and Engineering, Key Laboratory of Water and Sediment Sciences, Ministry of Education, Peking University, Beijing, China
| | - Tong Zhang
- Department of Civil Engineering, University of Hong Kong, Hong Kong, China
| | - Jizhong Zhou
- Institute for Environmental Genomics, University of Oklahoma, Norman, OK, USA
| | - Wei-Qin Zhuang
- Department of Civil and Environmental Engineering, Faculty of Engineering, University of Auckland, Auckland, New Zealand
| | - Ke Yu
- Eco-environment and Resource Efficiency Research Laboratory, School of Environment and Energy, Shenzhen Graduate School, Peking University, Shenzhen, China.
- AI for Science (AI4S)-Preferred Program, Peking University, Shenzhen, China.
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3
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Su Y, Xu MY, Cui Y, Chen RZ, Xie LX, Zhang JX, Chen YQ, Ding T. Bacterial quorum sensing orchestrates longitudinal interactions to shape microbiota assembly. MICROBIOME 2023; 11:241. [PMID: 37926838 PMCID: PMC10626739 DOI: 10.1186/s40168-023-01699-4] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/14/2023] [Accepted: 10/16/2023] [Indexed: 11/07/2023]
Abstract
BACKGROUND The mechanism of microbiota assembly is one of the main problems in microbiome research, which is also the primary theoretical basis for precise manipulation of microbial communities. Bacterial quorum sensing (QS), as the most common means for bacteria to exchange information and interactions, is characterized by universality, specificity, and regulatory power, which therefore may influence the assembly processes of human microbiota. However, the regulating role of QS in microbiota assembly is rarely reported. In this study, we developed an optimized in vitro oral biofilm microbiota assembling (OBMA) model to simulate the time-series assembly of oral biofilm microbiota (OBM), by which to excavate the QS network and its regulating power in the process. RESULTS By using the optimized OBMA model, we were able to restore the assembly process of OBM and generate time-series OBM metagenomes of each day. We discovered a total of 2291 QS protein homologues related to 21 QS pathways. Most of these pathways were newly reported and sequentially enriched during OBM assembling. These QS pathways formed a comprehensive longitudinal QS network that included successively enriched QS hubs, such as Streptococcus, Veillonella-Megasphaera group, and Prevotella-Fusobacteria group, for information delivery. Bidirectional cross-talk among the QS hubs was found to play critical role in the directional turnover of microbiota structure, which in turn, influenced the assembly process. Subsequent QS-interfering experiments accurately predicted and experimentally verified the directional shaping power of the longitudinal QS network in the assembly process. As a result, the QS-interfered OBM exhibited delayed and fragile maturity with prolonged membership of Streptococcus and impeded membership of Prevotella and Fusobacterium. CONCLUSION Our results revealed an unprecedented longitudinal QS network during OBM assembly and experimentally verified its power in predicting and manipulating the assembling process. Our work provides a new perspective to uncover underlying mechanism in natural complex microbiota assembling and a theoretical basis for ultimately precisely manipulating human microbiota through intervention in the QS network. Video Abstract.
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Affiliation(s)
- Ying Su
- Department of Immunology and Microbiology, Zhongshan School of Medicine, Sun Yat-Sen University, Guangzhou, 510080, China
- Key Laboratory of Tropical Diseases Control (Sun Yat-Sen University), Ministry of Education, Guangzhou, 510080, China
| | - Ming-Ying Xu
- Department of Immunology and Microbiology, Zhongshan School of Medicine, Sun Yat-Sen University, Guangzhou, 510080, China
- Department of Immunology and Pathogenic Biology, Zhaoqing Medical College, Zhaoqing, 526020, China
| | - Ying Cui
- Department of Immunology and Microbiology, Zhongshan School of Medicine, Sun Yat-Sen University, Guangzhou, 510080, China
- Key Laboratory of Tropical Diseases Control (Sun Yat-Sen University), Ministry of Education, Guangzhou, 510080, China
| | - Run-Zhi Chen
- Department of Immunology and Microbiology, Zhongshan School of Medicine, Sun Yat-Sen University, Guangzhou, 510080, China
- Key Laboratory of Tropical Diseases Control (Sun Yat-Sen University), Ministry of Education, Guangzhou, 510080, China
| | - Li-Xiang Xie
- Department of Immunology and Microbiology, Zhongshan School of Medicine, Sun Yat-Sen University, Guangzhou, 510080, China
- Key Laboratory of Tropical Diseases Control (Sun Yat-Sen University), Ministry of Education, Guangzhou, 510080, China
| | - Jing-Xiang Zhang
- Department of Immunology and Microbiology, Zhongshan School of Medicine, Sun Yat-Sen University, Guangzhou, 510080, China
- Key Laboratory of Tropical Diseases Control (Sun Yat-Sen University), Ministry of Education, Guangzhou, 510080, China
| | - Yong-Qiu Chen
- Department of Immunology and Microbiology, Zhongshan School of Medicine, Sun Yat-Sen University, Guangzhou, 510080, China
- Key Laboratory of Tropical Diseases Control (Sun Yat-Sen University), Ministry of Education, Guangzhou, 510080, China
| | - Tao Ding
- Department of Immunology and Microbiology, Zhongshan School of Medicine, Sun Yat-Sen University, Guangzhou, 510080, China.
- Key Laboratory of Tropical Diseases Control (Sun Yat-Sen University), Ministry of Education, Guangzhou, 510080, China.
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Maatouk M, Merhej V, Pontarotti P, Ibrahim A, Rolain JM, Bittar F. Metallo-Beta-Lactamase-like Encoding Genes in Candidate Phyla Radiation: Widespread and Highly Divergent Proteins with Potential Multifunctionality. Microorganisms 2023; 11:1933. [PMID: 37630493 PMCID: PMC10459063 DOI: 10.3390/microorganisms11081933] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2023] [Revised: 07/22/2023] [Accepted: 07/27/2023] [Indexed: 08/27/2023] Open
Abstract
The Candidate Phyla Radiation (CPR) was found to harbor a vast repertoire of genes encoding for enzymes with potential antibiotic resistance activity. Among these, as many as 3349 genes were predicted in silico to contain a metallo-beta-lactamase-like (MBL-like) fold. These proteins were subject to an in silico functional characterization by comparing their protein profiles (presence/absence of conserved protein domains) to other MBLs, including 24 already expressed in vitro, along with those of the beta-lactamase database (BLDB) (n = 761). The sequence similarity network (SSN) was then used to predict the functional clusters of CPR MBL-like sequences. Our findings showed that CPR MBL-like sequences were longer and more diverse than bacterial MBL sequences, with a high content of functional domains. Most CPR MBL-like sequences did not show any SSN connectivity with expressed MBLs, indicating the presence of many potential, yet unidentified, functions in CPR. In conclusion, CPR was shown to have many protein functions and a large sequence variability of MBL-like folds, exceeding all known MBLs. Further experimental and evolutionary studies of this superfamily of hydrolyzing enzymes are necessary to illustrate their functional annotation, origin, and expansion for adaptation or specialization within a given niche or compared to a specific substrate.
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Affiliation(s)
- Mohamad Maatouk
- Microbes, Evolution, Phylogénie et Infection (MEPHI), Institut de Recherche pour le Développement (IRD), Assistance Publique-Hôpitaux de Marseille (AP-HM), Aix-Marseille University, 13005 Marseille, France; (M.M.); (P.P.); (A.I.); (J.-M.R.)
- Institut Hospitalo-Universitaire (IHU) Méditerranée Infection, 13005 Marseille, France
| | - Vicky Merhej
- Microbes, Evolution, Phylogénie et Infection (MEPHI), Institut de Recherche pour le Développement (IRD), Assistance Publique-Hôpitaux de Marseille (AP-HM), Aix-Marseille University, 13005 Marseille, France; (M.M.); (P.P.); (A.I.); (J.-M.R.)
- Institut Hospitalo-Universitaire (IHU) Méditerranée Infection, 13005 Marseille, France
| | - Pierre Pontarotti
- Microbes, Evolution, Phylogénie et Infection (MEPHI), Institut de Recherche pour le Développement (IRD), Assistance Publique-Hôpitaux de Marseille (AP-HM), Aix-Marseille University, 13005 Marseille, France; (M.M.); (P.P.); (A.I.); (J.-M.R.)
- Institut Hospitalo-Universitaire (IHU) Méditerranée Infection, 13005 Marseille, France
- Centre National de la Recherche Scientifique (CNRS-SNC5039), 13009 Marseille, France
| | - Ahmad Ibrahim
- Microbes, Evolution, Phylogénie et Infection (MEPHI), Institut de Recherche pour le Développement (IRD), Assistance Publique-Hôpitaux de Marseille (AP-HM), Aix-Marseille University, 13005 Marseille, France; (M.M.); (P.P.); (A.I.); (J.-M.R.)
- Institut Hospitalo-Universitaire (IHU) Méditerranée Infection, 13005 Marseille, France
| | - Jean-Marc Rolain
- Microbes, Evolution, Phylogénie et Infection (MEPHI), Institut de Recherche pour le Développement (IRD), Assistance Publique-Hôpitaux de Marseille (AP-HM), Aix-Marseille University, 13005 Marseille, France; (M.M.); (P.P.); (A.I.); (J.-M.R.)
- Institut Hospitalo-Universitaire (IHU) Méditerranée Infection, 13005 Marseille, France
| | - Fadi Bittar
- Microbes, Evolution, Phylogénie et Infection (MEPHI), Institut de Recherche pour le Développement (IRD), Assistance Publique-Hôpitaux de Marseille (AP-HM), Aix-Marseille University, 13005 Marseille, France; (M.M.); (P.P.); (A.I.); (J.-M.R.)
- Institut Hospitalo-Universitaire (IHU) Méditerranée Infection, 13005 Marseille, France
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Zhong S, Zhou S, Liu S, Wang J, Dang C, Chen Q, Hu J, Yang S, Deng C, Li W, Liu J, Borthwick AGL, Ni J. May microbial ecological baseline exist in continental groundwater? MICROBIOME 2023; 11:152. [PMID: 37468948 PMCID: PMC10355068 DOI: 10.1186/s40168-023-01572-4] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/14/2022] [Accepted: 05/13/2023] [Indexed: 07/21/2023]
Abstract
BACKGROUND Microbes constitute almost the entire biological community in subsurface groundwater and play an important role in ecological evolution and global biogeochemical cycles. Ecological baseline as a fundamental reference with less human interference has been investigated in surface ecosystems such as soils, rivers, and ocean, but the existence of groundwater microbial ecological baseline (GMEB) is still an open question so far. RESULTS Based on high-throughput sequencing information derived from national monitoring of 733 newly constructed wells, we find that bacterial communities in pristine groundwater exhibit a significant lateral diversity gradient and gradually approach the topsoil microbial latitudinal diversity gradient with decreasing burial depth of phreatic water. Among 74 phyla dominated by Proteobacteria in groundwater, Patescibacteria act as keystone taxa that harmonize microbes in shallower aquifers and accelerate decline in bacterial diversity with increasing well-depth. Decreasing habitat niche breadth with increasing well-depth suggests a general change in the relationship among key microbes from closer cooperation in shallow to stronger competition in deep groundwater. Unlike surface-water microbes, microbial communities in pristine groundwater are predominantly shaped by deterministic processes, potentially associated with nutrient sequestration under dark and anoxic environments in aquifers. CONCLUSIONS By unveiling the biogeographic patterns and mechanisms controlling the community assembly of microbes in pristine groundwater throughout China, we firstly confirm the existence of GMEB in shallower aquifers and propose Groundwater Microbial Community Index (GMCI) to evaluate anthropogenic impact, which highlights the importance of GMEB in groundwater water security and health diagnosis. Video Abstract.
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Affiliation(s)
- Sining Zhong
- College of Environmental Sciences and Engineering, Peking University; Key Laboratory of Water and Sediment Sciences, Ministry of Education, No. 5 Yiheyuan Road, Beijing, 100871, People's Republic of China
- State Environmental Protection Key Laboratory of All Material Fluxes in River Ecosystems, Beijing, 100871, People's Republic of China
- Fujian Agriculture and Forestry University, College of Resources and Environment, Fujian Provincial Key Laboratory of Soil Environment Health and Regulation, Fuzhou, 350002, People's Republic of China
| | - Shungui Zhou
- Fujian Agriculture and Forestry University, College of Resources and Environment, Fujian Provincial Key Laboratory of Soil Environment Health and Regulation, Fuzhou, 350002, People's Republic of China
| | - Shufeng Liu
- College of Environmental Sciences and Engineering, Peking University; Key Laboratory of Water and Sediment Sciences, Ministry of Education, No. 5 Yiheyuan Road, Beijing, 100871, People's Republic of China
| | - Jiawen Wang
- College of Environmental Sciences and Engineering, Peking University; Key Laboratory of Water and Sediment Sciences, Ministry of Education, No. 5 Yiheyuan Road, Beijing, 100871, People's Republic of China
| | - Chenyuan Dang
- College of Environmental Sciences and Engineering, Peking University; Key Laboratory of Water and Sediment Sciences, Ministry of Education, No. 5 Yiheyuan Road, Beijing, 100871, People's Republic of China
| | - Qian Chen
- College of Environmental Sciences and Engineering, Peking University; Key Laboratory of Water and Sediment Sciences, Ministry of Education, No. 5 Yiheyuan Road, Beijing, 100871, People's Republic of China
- State Key Laboratory of Plateau Ecology and Agriculture, Qinghai University, Xining, 810016, People's Republic of China
| | - Jinyun Hu
- College of Environmental Sciences and Engineering, Peking University; Key Laboratory of Water and Sediment Sciences, Ministry of Education, No. 5 Yiheyuan Road, Beijing, 100871, People's Republic of China
| | - Shanqing Yang
- College of Environmental Sciences and Engineering, Peking University; Key Laboratory of Water and Sediment Sciences, Ministry of Education, No. 5 Yiheyuan Road, Beijing, 100871, People's Republic of China
| | - Chunfang Deng
- College of Environmental Sciences and Engineering, Peking University; Key Laboratory of Water and Sediment Sciences, Ministry of Education, No. 5 Yiheyuan Road, Beijing, 100871, People's Republic of China
| | - Wenpeng Li
- Center for Groundwater Monitoring, China Institute of Geo-environmental Monitoring, Beijing, 100081, People's Republic of China
| | - Juan Liu
- College of Environmental Sciences and Engineering, Peking University; Key Laboratory of Water and Sediment Sciences, Ministry of Education, No. 5 Yiheyuan Road, Beijing, 100871, People's Republic of China
| | - Alistair G L Borthwick
- School of Engineering, Computing and Mathematics, University of Plymouth, Drake Circus, Plymouth, PL8 4AA, UK
| | - Jinren Ni
- College of Environmental Sciences and Engineering, Peking University; Key Laboratory of Water and Sediment Sciences, Ministry of Education, No. 5 Yiheyuan Road, Beijing, 100871, People's Republic of China.
- State Environmental Protection Key Laboratory of All Material Fluxes in River Ecosystems, Beijing, 100871, People's Republic of China.
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Maatouk M, Rolain JM, Bittar F. Using Genomics to Decipher the Enigmatic Properties and Survival Adaptation of Candidate Phyla Radiation. Microorganisms 2023; 11:1231. [PMID: 37317205 PMCID: PMC10221324 DOI: 10.3390/microorganisms11051231] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/10/2023] [Revised: 04/28/2023] [Accepted: 05/05/2023] [Indexed: 06/16/2023] Open
Abstract
Microbial ecology is a critical field for understanding the composition, diversity, and functions of microorganisms in various environmental and health-related processes. The discovery of Candidate Phyla Radiation (CPR) through culture-independent methods has introduced a new division of microbes characterized by a symbiotic/parasitic lifestyle, small cell size, and small genome. Despite being poorly understood, CPRs have garnered significant attention in recent years due to their widespread detection in a variety of environmental and clinical samples. These microorganisms have been found to exhibit a high degree of genetic diversity compared to other microbes. Several studies have shed light on their potential importance in global biogeochemical cycles and their impact on various human activities. In this review, we provide a systematic overview of the discovery of CPRs. We then focus on describing how the genomic characteristics of CPRs have helped them interact with and adapt to other microbes in different ecological niches. Future works should focus on discovering the metabolic capacities of CPRs and, if possible, isolating them to obtain a better understanding of these microorganisms.
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Affiliation(s)
- Mohamad Maatouk
- Aix-Marseille Université, IRD, APHM, MEPHI, 13005 Marseille, France; (M.M.); (J.-M.R.)
- IHU Méditerranée Infection, 13005 Marseille, France
| | - Jean-Marc Rolain
- Aix-Marseille Université, IRD, APHM, MEPHI, 13005 Marseille, France; (M.M.); (J.-M.R.)
- IHU Méditerranée Infection, 13005 Marseille, France
| | - Fadi Bittar
- Aix-Marseille Université, IRD, APHM, MEPHI, 13005 Marseille, France; (M.M.); (J.-M.R.)
- IHU Méditerranée Infection, 13005 Marseille, France
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7
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Juhas M. Communication Between Microorganisms. BRIEF LESSONS IN MICROBIOLOGY 2023:27-41. [DOI: 10.1007/978-3-031-29544-7_3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 09/02/2023]
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Candidate Phyla Radiation, an Underappreciated Division of the Human Microbiome, and Its Impact on Health and Disease. Clin Microbiol Rev 2022; 35:e0014021. [PMID: 35658516 DOI: 10.1128/cmr.00140-21] [Citation(s) in RCA: 23] [Impact Index Per Article: 7.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022] Open
Abstract
Candidate phyla radiation (CPR) is an emerging division of the bacterial domain within the human microbiota. Still poorly known, these microorganisms were first described in the environment in 1981 as "ultramicrobacteria" with a cell volume under 0.1 μm3 and were first associated with the human oral microbiota in 2007. The evolution of technology has been paramount for the study of CPR within the human microbiota. In fact, since these ultramicrobacteria have yet to be axenically cultured despite ongoing efforts, progress in imaging technology has allowed their observation and morphological description. Although their genomic abilities and taxonomy are still being studied, great strides have been made regarding their taxonomic classification, as well as their lifestyle. In addition, advancements in next-generation sequencing and the continued development of bioinformatics tools have allowed their detection as commensals in different human habitats, including the oral cavity and gastrointestinal and genital tracts, thus highlighting CPR as a nonnegligible part of the human microbiota with an impact on physiological settings. Conversely, several pathologies present dysbiosis affecting CPR levels, including inflammatory, mucosal, and infectious diseases. In this exhaustive review of the literature, we provide a historical perspective on the study of CPR, an overview of the methods available to study these organisms and a description of their taxonomy and lifestyle. In addition, their distribution in the human microbiome is presented in both homeostatic and dysbiotic settings. Future efforts should focus on developing cocultures and, if possible, axenic cultures to obtain isolates and therefore genomes that would provide a better understanding of these ultramicrobacteria, the importance of which in the human microbiome is undeniable.
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New Beta-lactamases in Candidate Phyla Radiation: Owning Pleiotropic Enzymes Is a Smart Paradigm for Microorganisms with a Reduced Genome. Int J Mol Sci 2022; 23:ijms23105446. [PMID: 35628255 PMCID: PMC9145738 DOI: 10.3390/ijms23105446] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/19/2022] [Revised: 05/09/2022] [Accepted: 05/10/2022] [Indexed: 01/08/2023] Open
Abstract
The increased exploitation of microbial sequencing methods has shed light on the high diversity of new microorganisms named Candidate Phyla Radiation (CPR). CPR are mainly detected via 16S rRNA/metabarcoding analyses or metagenomics and are found to be abundant in all environments and present in different human microbiomes. These microbes, characterized by their symbiotic/epiparasitic lifestyle with bacteria, are directly exposed to competition with other microorganisms sharing the same ecological niche. Recently, a rich repertoire of enzymes with antibiotic resistance activity has been found in CPR genomes by using an in silico adapted screening strategy. This reservoir has shown a high prevalence of putative beta-lactamase-encoding genes. We expressed and purified five putative beta-lactamase sequences having the essential domains and functional motifs from class A and class B beta-lactamase. Their enzymatic activities were tested against various beta-lactam substrates using liquid chromatography-mass spectrometry (LC-MS) and showed some beta-lactamase activity even in the presence of a beta-lactamase inhibitor. In addition, ribonuclease activity was demonstrated against RNA that was not inhibited by sulbactam and EDTA. None of these proteins could degrade single- and double-stranded-DNA. This study is the first to express and test putative CPR beta-lactamase protein sequences in vitro. Our findings highlight that the reduced genomes of CPR members harbor sequences encoding for beta-lactamases known to be multifunction hydrolase enzymes.
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Insights into Adaptive Mechanisms of Extreme Acidophiles Based on Quorum Sensing/Quenching-Related Proteins. mSystems 2022; 7:e0149121. [PMID: 35400206 PMCID: PMC9040811 DOI: 10.1128/msystems.01491-21] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/20/2023] Open
Abstract
Quorum sensing (QS) is a unique mechanism for microorganisms to coordinate their activities through intercellular communication, including four main types of autoinducer-1 (AI-1, namely, N-acyl homoserine lactone [AHL]), AI-2, AI-3, and diffusible signaling factor [DSF]) based on signaling molecules. Quorum quenching (QQ) enzymes can disrupt the QS phenomenon by inactivating signaling molecules. QS is proposed to regulate biofilm formation in extremely acidic environments, but the QS/QQ-related genomic features in most acidophilic bacteria are still largely unknown. Here, genome annotation of 83 acidophiles from the genera Acidithiobacillus, Leptospirillum, Sulfobacillus, and Acidiphilium altogether revealed the existence of AI-1, AI-3, DSF, and AhlD (AHL degradation enzyme). The conservative investigation indicated that some QS/QQ-related proteins harbored key residues or motifs, which were necessary for their activities. Phylogenetic analysis showed that LuxI/R (AI-1 synthase/receptor), QseE/F (two-component system of AI-3), and RpfC/G (two-component system of DSF) exhibited similar evolutionary patterns within each pair. Meanwhile, proteins clustered approximately according to the species taxonomy. The widespread Acidithiobacillus strains, especially A. ferrooxidans, processed AI-1, AI-3, and DSF systems as well as the AhlD enzyme, which were favorable for their mutual information exchange and collective regulation of gene expression. Some members of the Sulfobacillus and Acidiphilium without AHL production capacity contained the AhlD enzyme, which may evolve for niche competition, while DSF in Leptospirillum and Acidithiobacillus could potentially combine with the cyclic diguanylate (c-di-GMP) pathway for self-defense and niche protection. This work will shed light on our understanding of the extent of communication networks and adaptive evolution among acidophiles via QS/QQ coping with environmental changes. IMPORTANCE Understanding cell-cell communication QS is highly relevant for comprehending the regulatory and adaptive mechanisms among acidophiles in extremely acidic ecosystems. Previous studies focused on the existence and functionality of a single QS system in several acidophilic strains. Four representative genera were selected to decipher the distribution and role of QS and QQ integrated with the conservative and evolutionary analysis of related proteins. It was implicated that intra- or intersignaling circuits may work effectively based on different QS types to modulate biofilm formation and energy metabolism among acidophilic microbes. Some individuals could synthesize QQ enzymes for specific QS molecular inactivation to inhibit undesirable acidophile species. This study expanded our knowledge of the fundamental cognition and biological roles underlying the dynamical communication interactions among the coevolving acidophiles and provided a novel perspective for revealing their environmental adaptability.
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Ibrahim A, Maatouk M, Raoult D, Bittar F. Reverse Genomics: Design of Universal Epitope Sets to Isolate All Saccharibacteria Members from the Human Oral Cavity. Microorganisms 2022; 10:microorganisms10030602. [PMID: 35336177 PMCID: PMC8954561 DOI: 10.3390/microorganisms10030602] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2022] [Revised: 03/04/2022] [Accepted: 03/08/2022] [Indexed: 12/20/2022] Open
Abstract
Microorganisms not yet cultured represent a large proportion of the microbes described to date. Progress in sequencing and metagenomic tools continues to increase microbial diversity without providing information on their physiological and pathophysiological characteristics, such as the recent discovery of enigmatic microbes belonging to Candidate Phyla Radiation (CPR). Reverse genomics is a recent technique allowing co-cultivation of a few CPR members, affiliated to the Saccharibacteria phylum, based on the analysis of their already-available genomes. Here, our aim is to designate a common system capable of cultivating any given taxon of this phylum from human samples. We managed to design, in silico, 11 common epitopes for all Saccharibacteria species recovered from the human oral cavity and which can serve as antigens via bioinformatics analyses. These sequences allow the synthesis of target antibodies, sorting Saccharibacteria spp. by flow cytometry and co-culturing them afterwards with adapted hosts. This epitope set can facilitate the cultivation of CPR in general, which in recent years has been considered a challenge for microbiologists, and subsequently contributes to better studying this new branch on the tree of life.
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Affiliation(s)
- Ahmad Ibrahim
- IHU Méditerranée Infection, 13005 Marseille, France; (A.I.); (M.M.); (D.R.)
- Aix-Marseille Université, IRD, APHM, MEPHI, 13005 Marseille, France
| | - Mohamad Maatouk
- IHU Méditerranée Infection, 13005 Marseille, France; (A.I.); (M.M.); (D.R.)
- Aix-Marseille Université, IRD, APHM, MEPHI, 13005 Marseille, France
| | - Didier Raoult
- IHU Méditerranée Infection, 13005 Marseille, France; (A.I.); (M.M.); (D.R.)
- Aix-Marseille Université, IRD, APHM, MEPHI, 13005 Marseille, France
| | - Fadi Bittar
- IHU Méditerranée Infection, 13005 Marseille, France; (A.I.); (M.M.); (D.R.)
- Aix-Marseille Université, IRD, APHM, MEPHI, 13005 Marseille, France
- Correspondence:
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Adapted Protocol for Saccharibacteria Cocultivation: Two New Members Join the Club of Candidate Phyla Radiation. Microbiol Spectr 2021; 9:e0106921. [PMID: 35007432 PMCID: PMC8694215 DOI: 10.1128/spectrum.01069-21] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022] Open
Abstract
The growing application of metagenomics to different ecological and microbiome niches in recent years has enhanced our knowledge of global microbial biodiversity. Among these abundant and widespread microbes, the candidate phyla radiation (CPR) group has been recognized as representing a large proportion of the microbial kingdom (>26%). CPR are characterized by their obligate symbiotic or exoparasitic activity with other microbial hosts, mainly bacteria. Currently, isolating CPR is still considered challenging for microbiologists. The idea of this study was to develop an adapted protocol for the coculture of CPR with a suitable bacterial host. Based on various sputum samples, we tried to enrich CPR (Saccharibacteria members) and to cocultivate them with pure hosts (Schaalia odontolytica). This protocol was monitored by TaqMan real-time quantitative PCR (qPCR) using a system specific for Saccharibacteria designed in this study, as well as by electron microscopy and sequencing. We succeeded in coculturing and sequencing the complete genomes of two new Saccharibacteria species, "Candidatus Minimicrobia naudis" and "Candidatus Minimicrobia vallesae." In addition, we noticed a decrease in the CT values of Saccharibacteria and a significant multiplication through their physical association with Schaalia odontolytica strains in the enriched medium that we developed. This work may help bridge gaps in the genomic database by providing new CPR members, and in the future, their currently unknown characteristics may be revealed. IMPORTANCE In this study, the first TaqMan real-time quantitative PCR (qPCR) system, targeting Saccharibacteria phylum, has been developed. This technique can specifically quantify Saccharibacteria members in any sample of interest in order to investigate their prevalence. In addition, another easy, specific, and sensitive protocol has been developed to maintain the viability of Saccharibacteria cells in an enriched medium with their bacterial host. The use of this protocol facilitates subsequent studies of the phenotypic characteristics of CPR and their physical interactions with bacterial species, as well as the sequencing of new genomes to improve the current database.
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Maatouk M, Ibrahim A, Rolain JM, Merhej V, Bittar F. Small and Equipped: the Rich Repertoire of Antibiotic Resistance Genes in Candidate Phyla Radiation Genomes. mSystems 2021; 6:e0089821. [PMID: 34874773 PMCID: PMC8651080 DOI: 10.1128/msystems.00898-21] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/08/2021] [Accepted: 11/10/2021] [Indexed: 11/20/2022] Open
Abstract
Microbes belonging to Candidate Phyla Radiation (CPR) have joined the tree of life as a new branch, thanks to the intensive application of metagenomics and sequencing technologies. CPR have been eventually identified by 16S rRNA analysis, and they represent more than 26% of microbial diversity. Despite their ultrasmall size, reduced genome, and metabolic pathways which mainly depend on exosymbiotic or exoparasitic relationships with the bacterial host, CPR microbes were found to be abundant in almost all environments. They can be considered survivors in highly competitive circumstances within microbial communities. However, their defense mechanisms and phenotypic characteristic remain poorly explored. Here, we conducted a thorough in silico analysis on 4,062 CPR genomes to search for antibiotic resistance (AR)-like enzymes using BLASTp and functional domain predictions against an exhaustive consensus AR database and conserved domain database (CDD), respectively. Our findings showed that a rich reservoir of divergent AR-like genes (n = 30,545 hits, mean = 7.5 hits/genome [0 to 41]) were distributed across the 13 CPR superphyla. These AR-like genes encode 89 different enzymes that are associated with 14 different chemical classes of antimicrobials. Most hits found (93.6%) were linked to glycopeptide, beta-lactam, macrolide-lincosamide-streptogramin (MLS), tetracycline, and aminoglycoside resistance. Moreover, two AR profiles were discerned for the Microgenomates group and "Candidatus Parcubacteria," which were distinct between them and differed from all other CPR superphyla. CPR cells seem to be active players during microbial competitive interactions; they are well equipped for microbial combat in different habitats, which ensures their natural survival and continued existence. IMPORTANCE To our knowledge, this study is one of the few studies that characterize the defense systems in the CPR group and describes the first repertoire of antibiotic resistance (AR) genes. The use of a BLAST approach with lenient criteria followed by a careful examination of the functional domains has yielded a variety of enzymes that mainly give three different mechanisms of action of resistance. Our genome analysis showed the existence of a rich reservoir of CPR resistome, which is associated with different antibiotic families. Moreover, this analysis revealed the hidden face of the reduced-genome CPR, particularly their weaponry with AR genes. These data suggest that CPR are competitive players in the microbial war, and they can be distinguished by specific AR profiles.
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Affiliation(s)
- Mohamad Maatouk
- Aix-Marseille Univ, IRD, APHM, MEPHI, Marseille, France
- IHU Méditerranée Infection, Marseille, France
| | - Ahmad Ibrahim
- Aix-Marseille Univ, IRD, APHM, MEPHI, Marseille, France
- IHU Méditerranée Infection, Marseille, France
| | - Jean-Marc Rolain
- Aix-Marseille Univ, IRD, APHM, MEPHI, Marseille, France
- IHU Méditerranée Infection, Marseille, France
| | - Vicky Merhej
- Aix-Marseille Univ, IRD, APHM, MEPHI, Marseille, France
- IHU Méditerranée Infection, Marseille, France
| | - Fadi Bittar
- Aix-Marseille Univ, IRD, APHM, MEPHI, Marseille, France
- IHU Méditerranée Infection, Marseille, France
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