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Ju Y, Zhang Z, Liu M, Lin S, Sun Q, Song Z, Liang W, Tong X, Jie Z, Lu H, Cai K, Chen P, Jin X, Zhang W, Xu X, Yang H, Wang J, Hou Y, Xiao L, Jia H, Zhang T, Guo R. Integrated large-scale metagenome assembly and multi-kingdom network analyses identify sex differences in the human nasal microbiome. Genome Biol 2024; 25:257. [PMID: 39380016 PMCID: PMC11463039 DOI: 10.1186/s13059-024-03389-2] [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: 08/27/2022] [Accepted: 09/06/2024] [Indexed: 10/10/2024] Open
Abstract
BACKGROUND Respiratory diseases impose an immense health burden worldwide. Epidemiological studies have revealed extensive disparities in the incidence and severity of respiratory tract infections between men and women. It has been hypothesized that there might also be a nasal microbiome axis contributing to the observed sex disparities. RESULTS Here, we study the nasal microbiome of healthy young adults in the largest cohort to date with 1593 individuals, using shotgun metagenomic sequencing. We compile the most comprehensive reference catalog for the nasal bacterial community containing 4197 metagenome-assembled genomes and integrate the mycobiome, to provide a valuable resource and a more holistic perspective for the understudied human nasal microbiome. We systematically evaluate sex differences and reveal extensive sex-specific features in both taxonomic and functional levels in the nasal microbiome. Through network analyses, we capture markedly higher ecological stability and antagonistic potentials in the female nasal microbiome compared to the male's. The analysis of the keystone bacteria reveals that the sex-dependent evolutionary characteristics might have contributed to these differences. CONCLUSIONS In summary, we construct the most comprehensive catalog of metagenome-assembled-genomes for the nasal bacterial community to provide a valuable resource for the understudied human nasal microbiome. On top of that, comparative analysis in relative abundance and microbial co-occurrence networks identify extensive sex differences in the respiratory tract community, which may help to further our understanding of the observed sex disparities in the respiratory diseases.
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Affiliation(s)
- Yanmei Ju
- BGI Research, Shenzhen, 518083, China
- Shenzhen Key Laboratory of Human Commensal Microorganisms and Health Research, BGI Research, Shenzhen, 518083, China
- College of Life Sciences, University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Zhe Zhang
- BGI Research, Shenzhen, 518083, China
- Shenzhen Key Laboratory of Human Commensal Microorganisms and Health Research, BGI Research, Shenzhen, 518083, China
| | - Mingliang Liu
- BGI Research, Shenzhen, 518083, China
- Shenzhen Key Laboratory of Human Commensal Microorganisms and Health Research, BGI Research, Shenzhen, 518083, China
- College of Life Sciences, University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Shutian Lin
- BGI Research, Shenzhen, 518083, China
- Shenzhen Key Laboratory of Human Commensal Microorganisms and Health Research, BGI Research, Shenzhen, 518083, China
- College of Life Sciences, University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Qiang Sun
- BGI Research, Shenzhen, 518083, China
- Shenzhen Key Laboratory of Human Commensal Microorganisms and Health Research, BGI Research, Shenzhen, 518083, China
- Department of Statistical Sciences, University of Toronto, 700 University Ave, Toronto, ON, M5G 1Z5, Canada
| | | | - Weiting Liang
- BGI Research, Shenzhen, 518083, China
- Shenzhen Key Laboratory of Human Commensal Microorganisms and Health Research, BGI Research, Shenzhen, 518083, China
- College of Life Sciences, University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Xin Tong
- BGI Research, Shenzhen, 518083, China
- Shenzhen Key Laboratory of Human Commensal Microorganisms and Health Research, BGI Research, Shenzhen, 518083, China
| | - Zhuye Jie
- BGI Research, Shenzhen, 518083, China
- Shenzhen Key Laboratory of Human Commensal Microorganisms and Health Research, BGI Research, Shenzhen, 518083, China
| | - Haorong Lu
- China National Genebank, BGI Research, Shenzhen, 518210, China
| | - Kaiye Cai
- BGI Research, Shenzhen, 518083, China
| | | | - Xin Jin
- BGI Research, Shenzhen, 518083, China
| | | | - Xun Xu
- BGI Research, Shenzhen, 518083, China
| | - Huanming Yang
- BGI Research, Shenzhen, 518083, China
- James D, Watson Institute of Genome Sciences, Hangzhou, 310013, China
| | - Jian Wang
- BGI Research, Shenzhen, 518083, China
| | - Yong Hou
- BGI Research, Shenzhen, 518083, China
| | - Liang Xiao
- BGI Research, Shenzhen, 518083, China
- Shenzhen Engineering Laboratory of Detection and Intervention of Human Intestinal Microbiome, BGI Research, Shenzhen, 518083, China
- Qingdao-Europe Advanced Institute for Life Sciences, BGI Research, Qingdao, 266555, China
| | - Huijue Jia
- School of Life Sciences, Fudan University, Shanghai, 200433, China.
- Greater Bay Area Institute of Precision Medicine, Guangzhou, 511458, China.
| | - Tao Zhang
- Shenzhen Key Laboratory of Human Commensal Microorganisms and Health Research, BGI Research, Shenzhen, 518083, China.
- BGI Research, Wuhan, 430074, China.
| | - Ruijin Guo
- BGI Research, Shenzhen, 518083, China.
- Shenzhen Key Laboratory of Human Commensal Microorganisms and Health Research, BGI Research, Shenzhen, 518083, China.
- BGI Research, Wuhan, 430074, China.
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2
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Vich Vila A, Zhang J, Liu M, Faber KN, Weersma RK. Untargeted faecal metabolomics for the discovery of biomarkers and treatment targets for inflammatory bowel diseases. Gut 2024; 73:1909-1920. [PMID: 39002973 DOI: 10.1136/gutjnl-2023-329969] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/11/2024] [Accepted: 06/23/2024] [Indexed: 07/15/2024]
Abstract
The gut microbiome has been recognised as a key component in the pathogenesis of inflammatory bowel diseases (IBD), and the wide range of metabolites produced by gut bacteria are an important mechanism by which the human microbiome interacts with host immunity or host metabolism. High-throughput metabolomic profiling and novel computational approaches now allow for comprehensive assessment of thousands of metabolites in diverse biomaterials, including faecal samples. Several groups of metabolites, including short-chain fatty acids, tryptophan metabolites and bile acids, have been associated with IBD. In this Recent Advances article, we describe the contribution of metabolomics research to the field of IBD, with a focus on faecal metabolomics. We discuss the latest findings on the significance of these metabolites for IBD prognosis and therapeutic interventions and offer insights into the future directions of metabolomics research.
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Affiliation(s)
- Arnau Vich Vila
- Department of Gastroenterology and Hepatology, University of Groningen and University Medical Center Groningen, Groningen, The Netherlands
- Department of Genetics, University of Groningen and University Medical Center Groningen, Groningen, The Netherlands
| | - Jingwan Zhang
- Department of Medicine & Therapeutics, The Chinese University of Hong Kong, Hong Kong (SAR), People's Republic of China
- Microbiota I-Center (MagIC), Hong Kong (SAR), People's Republic of China
| | - Moting Liu
- Department of Gastroenterology and Hepatology, University of Groningen and University Medical Center Groningen, Groningen, The Netherlands
| | - Klaas Nico Faber
- Department of Gastroenterology and Hepatology, University of Groningen and University Medical Center Groningen, Groningen, The Netherlands
| | - Rinse K Weersma
- Department of Gastroenterology and Hepatology, University of Groningen and University Medical Center Groningen, Groningen, The Netherlands
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3
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Malan-Müller S, Vidal R, O'Shea E, Montero E, Figuero E, Zorrilla I, de Diego-Adeliño J, Cano M, García-Portilla MP, González-Pinto A, Leza JC. Probing the oral-brain connection: oral microbiome patterns in a large community cohort with anxiety, depression, and trauma symptoms, and periodontal outcomes. Transl Psychiatry 2024; 14:419. [PMID: 39368974 PMCID: PMC11455920 DOI: 10.1038/s41398-024-03122-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/26/2024] [Revised: 09/20/2024] [Accepted: 09/24/2024] [Indexed: 10/07/2024] Open
Abstract
The role of the oral microbiome in mental health has recently been appreciated within the proposed oral-brain axis. This study examined the structure and composition of the salivary microbiome in a large-scale population-based cohort of individuals reporting mental health symptoms (n = 306) compared to mentally healthy controls (n = 164) using 16S rRNA sequencing. Mental health symptoms were evaluated using validated questionnaires and included depression, anxiety, and posttraumatic stress disorder (PTSD), with accompanying periodontal outcomes. Participants also indicated current or previous diagnoses of anxiety, depression, periodontitis, and gingivitis. Mental and periodontal health variables influenced the overall composition of the oral microbiome. PTSD symptoms correlated with a lower clr-transformed relative abundance of Haemophilus sputorum and a higher clr-transformed relative abundance of Prevotella histicola. The clr-transformed relative abundance of P. histicola was also positively associated with depressive scores and negatively associated with psychological quality of life. Anxiety disorder diagnosis was associated with a lower clr-transformed relative abundance of Neisseria elongate and a higher clr-transformed relative abundance of Oribacterium asaccharolyticum. A higher clr-transformed relative abundance of Shuttleworthia and lower clr-transformed relative abundance of Capnocytophaga were evident in those who reported a clinical periodontitis diagnosis. Higher Eggerthia and lower Haemophilus parainfluenzae clr-transformed relative abundances were associated with reported clinical periodontitis diagnoses and psychotherapeutic efficacy. Functional prediction analysis revealed a potential role for tryptophan metabolism/degradation in the oral-brain axis, which was confirmed by lower plasma serotonin levels across symptomatic groups. This study sheds light on the intricate interplay between oral microbiota, periodontal and mental health outcomes, and a potential role for tryptophan metabolism in the proposed oral-brain axis, emphasizing the need for further exploration to pave the way for novel therapeutic interventions and predicting therapeutic response.
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Affiliation(s)
- Stefanie Malan-Müller
- Department of Pharmacology and Toxicology, Faculty of Medicine, University Complutense Madrid (UCM), Madrid, Spain.
- Biomedical Research Network Centre in Mental Health (CIBERSAM), Institute of Health Carlos III (ISCIII), Madrid, Spain.
- Hospital 12 de Octubre Research Institute (Imas12), Madrid, Spain.
- Instituto Universitario de Investigación Neuroquímica (IUIN-UCM), Madrid, Spain.
| | - Rebeca Vidal
- Department of Pharmacology and Toxicology, Faculty of Medicine, University Complutense Madrid (UCM), Madrid, Spain
- Hospital 12 de Octubre Research Institute (Imas12), Madrid, Spain
- Instituto Universitario de Investigación Neuroquímica (IUIN-UCM), Madrid, Spain
- Red de Investigación en Atención Primaria de Adicciones (RIAPAd-ISCIII), Madrid, Spain
| | - Esther O'Shea
- Department of Pharmacology and Toxicology, Faculty of Medicine, University Complutense Madrid (UCM), Madrid, Spain
- Hospital 12 de Octubre Research Institute (Imas12), Madrid, Spain
- Instituto Universitario de Investigación Neuroquímica (IUIN-UCM), Madrid, Spain
- Red de Investigación en Atención Primaria de Adicciones (RIAPAd-ISCIII), Madrid, Spain
| | - Eduardo Montero
- ETEP (Etiology and Therapy of Periodontal and Peri-implant Diseases) Research Group, UCM, Madrid, Spain
- Department of Dental Clinical Specialties, Faculty of Dentistry, UCM, Madrid, Spain
| | - Elena Figuero
- ETEP (Etiology and Therapy of Periodontal and Peri-implant Diseases) Research Group, UCM, Madrid, Spain
- Department of Dental Clinical Specialties, Faculty of Dentistry, UCM, Madrid, Spain
| | - Iñaki Zorrilla
- Biomedical Research Network Centre in Mental Health (CIBERSAM), Institute of Health Carlos III (ISCIII), Madrid, Spain
- BIOARABA, Department of Psychiatry, Hospital Universitario de Alava, UPV/EHU, Vitoria, Spain
| | - Javier de Diego-Adeliño
- Biomedical Research Network Centre in Mental Health (CIBERSAM), Institute of Health Carlos III (ISCIII), Madrid, Spain
- Sant Pau Mental Health Research Group, Institut de Recerca Sant Pau (IR Sant Pau), Barcelona, Spain
- Hospital de la Santa Creu i Sant Pau, Barcelona, Spain
- Autonomous University of Barcelona (UAB), Barcelona, Spain
| | - Marta Cano
- Biomedical Research Network Centre in Mental Health (CIBERSAM), Institute of Health Carlos III (ISCIII), Madrid, Spain
- Sant Pau Mental Health Research Group, Institut de Recerca Sant Pau (IR Sant Pau), Barcelona, Spain
| | - Maria Paz García-Portilla
- Biomedical Research Network Centre in Mental Health (CIBERSAM), Institute of Health Carlos III (ISCIII), Madrid, Spain
- Department of Psychiatry, Universidad de Oviedo, Servicio de Psiquiatría, Instituto de Investigación Sanitaria del Principado de Asturias (ISPA), Oviedo, Spain
| | - Ana González-Pinto
- Biomedical Research Network Centre in Mental Health (CIBERSAM), Institute of Health Carlos III (ISCIII), Madrid, Spain
- BIOARABA, Department of Psychiatry, Hospital Universitario de Alava, UPV/EHU, Vitoria, Spain
| | - Juan C Leza
- Department of Pharmacology and Toxicology, Faculty of Medicine, University Complutense Madrid (UCM), Madrid, Spain
- Biomedical Research Network Centre in Mental Health (CIBERSAM), Institute of Health Carlos III (ISCIII), Madrid, Spain
- Hospital 12 de Octubre Research Institute (Imas12), Madrid, Spain
- Instituto Universitario de Investigación Neuroquímica (IUIN-UCM), Madrid, Spain
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4
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Marin J, Walewski V, Braun T, Dziri S, Magnan M, Denamur E, Carbonnelle E, Bridier-Nahmias A. Genomic evidence of Escherichia coli gut population diversity translocation in leukemia patients. mSphere 2024:e0053024. [PMID: 39365076 DOI: 10.1128/msphere.00530-24] [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: 06/24/2024] [Accepted: 09/09/2024] [Indexed: 10/05/2024] Open
Abstract
Escherichia coli, a commensal species of the human gut, is an opportunistic pathogen that can reach extra-intestinal compartments, including the bloodstream and the bladder, among others. In non-immunosuppressed patients, purifying or neutral evolution of E. coli populations has been reported in the gut. Conversely, it has been suggested that when migrating to extra-intestinal compartments, E. coli genomes undergo diversifying selection as supported by strong evidence for adaptation. The level of genomic polymorphism and the size of the populations translocating from gut to extra-intestinal compartments is largely unknown. To gain insights into the pathophysiology of these translocations, we investigated the level of polymorphism and the evolutionary forces acting on the genomes of 77 E. coli isolated from various compartments in three immunosuppressed patients. Each patient had a unique strain, which was a mutator in one case. In all instances, we observed that translocation encompasses much of the genomic diversity present in the gut. The same signature of selection, whether purifying or diversifying, and as anticipated, neutral for mutator isolates, was observed in both the gut and bloodstream. Additionally, we found a limited number of non-specific mutations among compartments for non-mutator isolates. In all cases, urine isolates were dominated by neutral selection. These findings indicate that substantial proportions of populations are undergoing translocation and that they present a complex compartment-specific pattern of selection at the patient level.IMPORTANCEIt has been suggested that intra and extra-intestinal compartments differentially constrain the evolution of E. coli strains. Whether host particular conditions, such as immunosuppression, could affect the strain evolutionary trajectories remains understudied. We found that, in immunosuppressed patients, large fractions of E. coli gut populations are translocating with variable modifications of the signature of selection for commensal and pathogenic isolates according to the compartment and/or the patient. Such multiple site sampling should be performed in large cohorts of patients to gain a better understanding of E. coli extra-intestinal diseases.
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Affiliation(s)
- Julie Marin
- Université Sorbonne Paris Nord, INSERM, IAME, Bobigny, France
| | - Violaine Walewski
- APHP, HUPSSD, Hôpital Avicenne, Service de Microbiologie clinique, Bobigny, France
| | - Thorsten Braun
- Université Sorbonne Paris Nord, INSERM, IAME, Bobigny, France
- APHP, HUPSSD, Hôpital Avicenne, Service de Microbiologie clinique, Bobigny, France
| | - Samira Dziri
- APHP, HUPSSD, Hôpital Avicenne, Service de Microbiologie clinique, Bobigny, France
| | - Mélanie Magnan
- Université Paris Cité, INSERM, IAME, and APHP, Hôpital Bichat, Laboratoire de Génétique Moléculaire, Paris, France
| | - Erick Denamur
- Université Paris Cité, INSERM, IAME, and APHP, Hôpital Bichat, Laboratoire de Génétique Moléculaire, Paris, France
| | - Etienne Carbonnelle
- Université Sorbonne Paris Nord, INSERM, IAME, Bobigny, France
- APHP, HUPSSD, Hôpital Avicenne, Service de Microbiologie clinique, Bobigny, France
| | - Antoine Bridier-Nahmias
- Université Paris Cité, INSERM, IAME, and APHP, Hôpital Bichat, Laboratoire de Génétique Moléculaire, Paris, France
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5
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Zheng J, Sun Q, Zhang M, Liu C, Su Q, Zhang L, Xu Z, Lu W, Ching J, Tang W, Cheung CP, Hamilton AL, Wilson O'Brien AL, Wei SC, Bernstein CN, Rubin DT, Chang EB, Morrison M, Kamm MA, Chan FKL, Zhang J, Ng SC. Noninvasive, microbiome-based diagnosis of inflammatory bowel disease. Nat Med 2024:10.1038/s41591-024-03280-4. [PMID: 39367251 DOI: 10.1038/s41591-024-03280-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/17/2024] [Accepted: 08/29/2024] [Indexed: 10/06/2024]
Abstract
Despite recent progress in our understanding of the association between the gut microbiome and inflammatory bowel disease (IBD), the role of microbiome biomarkers in IBD diagnosis remains underexplored. Here we developed a microbiome-based diagnostic test for IBD. By utilization of metagenomic data from 5,979 fecal samples with and without IBD from different geographies and ethnicities, we identified microbiota alterations in IBD and selected ten and nine bacterial species for construction of diagnostic models for ulcerative colitis and Crohn's disease, respectively. These diagnostic models achieved areas under the curve >0.90 for distinguishing IBD from controls in the discovery cohort, and maintained satisfactory performance in transethnic validation cohorts from eight populations. We further developed a multiplex droplet digital polymerase chain reaction test targeting selected IBD-associated bacterial species, and models based on this test showed numerically higher performance than fecal calprotectin in discriminating ulcerative colitis and Crohn's disease from controls. Here we discovered universal IBD-associated bacteria and show the potential applicability of a multibacteria biomarker panel as a noninvasive tool for IBD diagnosis.
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Affiliation(s)
- Jiaying Zheng
- Microbiota I-Center (MagIC), Hong Kong, China
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong, China
| | - Qianru Sun
- Microbiota I-Center (MagIC), Hong Kong, China
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong, China
| | | | - Chengyu Liu
- Microbiota I-Center (MagIC), Hong Kong, China
| | - Qi Su
- Microbiota I-Center (MagIC), Hong Kong, China
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong, China
| | - Lin Zhang
- Microbiota I-Center (MagIC), Hong Kong, China
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong, China
| | - Zhilu Xu
- Microbiota I-Center (MagIC), Hong Kong, China
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong, China
| | - Wenqi Lu
- Microbiota I-Center (MagIC), Hong Kong, China
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong, China
| | - Jessica Ching
- Microbiota I-Center (MagIC), Hong Kong, China
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong, China
| | - Whitney Tang
- Microbiota I-Center (MagIC), Hong Kong, China
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong, China
| | - Chun Pan Cheung
- Microbiota I-Center (MagIC), Hong Kong, China
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong, China
| | - Amy L Hamilton
- Department of Gastroenterology, St Vincent's Hospital, Melbourne, Victoria, Australia
- Department of Medicine, The University of Melbourne, Melbourne, Victoria, Australia
| | - Amy L Wilson O'Brien
- Department of Gastroenterology, St Vincent's Hospital, Melbourne, Victoria, Australia
- Department of Medicine, The University of Melbourne, Melbourne, Victoria, Australia
| | - Shu Chen Wei
- Department of Internal Medicine, National Taiwan University Hospital and College of Medicine, Taipei, Taiwan
| | - Charles N Bernstein
- Department of Medicine, Max Rady College of Medicine, Rady Faculty of Health Sciences, University of Manitoba, Winnipeg, Manitoba, Canada
| | - David T Rubin
- Department of Medicine, University of Chicago, Chicago, IL, USA
| | - Eugene B Chang
- Department of Medicine, University of Chicago, Chicago, IL, USA
| | - Mark Morrison
- Frazer Institute, Faculty of Medicine, University of Queensland, Brisbane, Queensland, Australia
| | - Michael A Kamm
- Department of Gastroenterology, St Vincent's Hospital, Melbourne, Victoria, Australia
- Department of Medicine, The University of Melbourne, Melbourne, Victoria, Australia
| | - Francis K L Chan
- Microbiota I-Center (MagIC), Hong Kong, China
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong, China
- Centre for Gut Microbiota Research, The Chinese University of Hong Kong, Hong Kong, China
| | - Jingwan Zhang
- Microbiota I-Center (MagIC), Hong Kong, China.
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong, China.
- Institute of Digestive Disease, State Key Laboratory of Digestive Diseases, Li Ka Shing Institute of Health Sciences, The Chinese University of Hong Kong, Hong Kong, China.
| | - Siew C Ng
- Microbiota I-Center (MagIC), Hong Kong, China.
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong, China.
- Centre for Gut Microbiota Research, The Chinese University of Hong Kong, Hong Kong, China.
- Institute of Digestive Disease, State Key Laboratory of Digestive Diseases, Li Ka Shing Institute of Health Sciences, The Chinese University of Hong Kong, Hong Kong, China.
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6
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Kazantseva E, Donmez A, Frolova M, Pop M, Kolmogorov M. Strainy: phasing and assembly of strain haplotypes from long-read metagenome sequencing. Nat Methods 2024:10.1038/s41592-024-02424-1. [PMID: 39327484 DOI: 10.1038/s41592-024-02424-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2023] [Accepted: 08/22/2024] [Indexed: 09/28/2024]
Abstract
Bacterial species in microbial communities are often represented by mixtures of strains, distinguished by small variations in their genomes. Short-read approaches can be used to detect small-scale variation between strains but fail to phase these variants into contiguous haplotypes. Long-read metagenome assemblers can generate contiguous bacterial chromosomes but often suppress strain-level variation in favor of species-level consensus. Here we present Strainy, an algorithm for strain-level metagenome assembly and phasing from Nanopore and PacBio reads. Strainy takes a de novo metagenomic assembly as input and identifies strain variants, which are then phased and assembled into contiguous haplotypes. Using simulated and mock Nanopore and PacBio metagenome data, we show that Strainy assembles accurate and complete strain haplotypes, outperforming current Nanopore-based methods and comparable with PacBio-based algorithms in completeness and accuracy. We then use Strainy to assemble strain haplotypes of a complex environmental metagenome, revealing distinct strain distribution and mutational patterns in bacterial species.
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Affiliation(s)
- Ekaterina Kazantseva
- Bioinformatics and Systems Biology Program, ITMO University, St. Petersburg, Russia
| | - Ataberk Donmez
- Cancer Data Science Laboratory, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
- Department of Computer Science, University of Maryland, College Park, MD, USA
| | - Maria Frolova
- Functional Genomics of Prokaryotes Laboratory, Institute of Cell Biophysics, RAS, Pushchino, Russia
| | - Mihai Pop
- Department of Computer Science, University of Maryland, College Park, MD, USA.
| | - Mikhail Kolmogorov
- Cancer Data Science Laboratory, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA.
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7
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Eren AM, Banfield JF. Modern microbiology: Embracing complexity through integration across scales. Cell 2024; 187:5151-5170. [PMID: 39303684 PMCID: PMC11450119 DOI: 10.1016/j.cell.2024.08.028] [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: 06/22/2024] [Revised: 08/14/2024] [Accepted: 08/14/2024] [Indexed: 09/22/2024]
Abstract
Microbes were the only form of life on Earth for most of its history, and they still account for the vast majority of life's diversity. They convert rocks to soil, produce much of the oxygen we breathe, remediate our sewage, and sustain agriculture. Microbes are vital to planetary health as they maintain biogeochemical cycles that produce and consume major greenhouse gases and support large food webs. Modern microbiologists analyze nucleic acids, proteins, and metabolites; leverage sophisticated genetic tools, software, and bioinformatic algorithms; and process and integrate complex and heterogeneous datasets so that microbial systems may be harnessed to address contemporary challenges in health, the environment, and basic science. Here, we consider an inevitably incomplete list of emergent themes in our discipline and highlight those that we recognize as the archetypes of its modern era that aim to address the most pressing problems of the 21st century.
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Affiliation(s)
- A Murat Eren
- Helmholtz Institute for Functional Marine Biodiversity, 26129 Oldenburg, Germany; Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven, Germany; Institute for Chemistry and Biology of the Marine Environment, University of Oldenburg, Oldenburg, Germany; Marine Biological Laboratory, Woods Hole, MA, USA; Max Planck Institute for Marine Microbiology, Bremen, Germany.
| | - Jillian F Banfield
- Department of Earth and Planetary Sciences, University of California, Berkeley, Berkeley, CA, USA; Earth and Environmental Sciences, Lawrence Berkeley National Laboratory, Berkeley, CA, USA; Innovative Genomics Institute, University of California, Berkeley, Berkeley, CA, USA; Biomedicine Discovery Institute, Monash University, Clayton, VIC, Australia; Department of Environmental Science Policy, and Management, University of California, Berkeley, Berkeley, CA, USA.
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8
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Su Q, Zhuang DH, Li YC, Chen Y, Wang XY, Ge MX, Xue TY, Zhang QY, Liu XY, Yin FQ, Han YM, Gao ZL, Zhao L, Li YX, Lv MJ, Yang LQ, Xia TR, Luo YJ, Zhang Z, Kong QP. Gut microbiota contributes to high-altitude hypoxia acclimatization of human populations. Genome Biol 2024; 25:232. [PMID: 39198826 PMCID: PMC11350960 DOI: 10.1186/s13059-024-03373-w] [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: 01/30/2024] [Accepted: 08/20/2024] [Indexed: 09/01/2024] Open
Abstract
BACKGROUND The relationship between human gut microbiota and high-altitude hypoxia acclimatization remains highly controversial. This stems primarily from uncertainties regarding both the potential temporal changes in the microbiota under such conditions and the existence of any dominant or core bacteria that may assist in host acclimatization. RESULTS To address these issues, and to control for variables commonly present in previous studies which significantly impact the results obtained, namely genetic background, ethnicity, lifestyle, and diet, we conducted a 108-day longitudinal study on the same cohort comprising 45 healthy Han adults who traveled from lowland Chongqing, 243 masl, to high-altitude plateau Lhasa, Xizang, 3658 masl, and back. Using shotgun metagenomic profiling, we study temporal changes in gut microbiota composition at different timepoints. The results show a significant reduction in the species and functional diversity of the gut microbiota, along with a marked increase in functional redundancy. These changes are primarily driven by the overgrowth of Blautia A, a genus that is also abundant in six independent Han cohorts with long-term duration in lower hypoxia environment in Shigatse, Xizang, at 4700 masl. Further animal experiments indicate that Blautia A-fed mice exhibit enhanced intestinal health and a better acclimatization phenotype to sustained hypoxic stress. CONCLUSIONS Our study underscores the importance of Blautia A species in the gut microbiota's rapid response to high-altitude hypoxia and its potential role in maintaining intestinal health and aiding host adaptation to extreme environments, likely via anti-inflammation and intestinal barrier protection.
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Affiliation(s)
- Qian Su
- Key Laboratory of Genetic Evolution & Animal Models (Chinese Academy of Sciences), Key Laboratory of Healthy Aging Research of Yunnan Province, Kunming Key Laboratory of Healthy Aging Study, KIZ/CUHK Joint Laboratory of Bioresources and Molecular Research in Common Diseases, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan, 650201, China
- University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Dao-Hua Zhuang
- State Key Laboratory for Conservation and Utilization of Bio-Resources in Yunnan, School of Life Sciences, Yunnan University, Kunming, Yunnan, 650091, China
| | - Yu-Chun Li
- Key Laboratory of Genetic Evolution & Animal Models (Chinese Academy of Sciences), Key Laboratory of Healthy Aging Research of Yunnan Province, Kunming Key Laboratory of Healthy Aging Study, KIZ/CUHK Joint Laboratory of Bioresources and Molecular Research in Common Diseases, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan, 650201, China
| | - Yu Chen
- Department of Military Medical Geography, Army Health Service Training Base, Third Military Medical University, Chongqing, 400038, China
| | - Xia-Yan Wang
- Key Laboratory of Genetic Evolution & Animal Models (Chinese Academy of Sciences), Key Laboratory of Healthy Aging Research of Yunnan Province, Kunming Key Laboratory of Healthy Aging Study, KIZ/CUHK Joint Laboratory of Bioresources and Molecular Research in Common Diseases, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan, 650201, China
| | - Ming-Xia Ge
- Key Laboratory of Genetic Evolution & Animal Models (Chinese Academy of Sciences), Key Laboratory of Healthy Aging Research of Yunnan Province, Kunming Key Laboratory of Healthy Aging Study, KIZ/CUHK Joint Laboratory of Bioresources and Molecular Research in Common Diseases, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan, 650201, China
| | - Ting-Yue Xue
- Key Laboratory of Genetic Evolution & Animal Models (Chinese Academy of Sciences), Key Laboratory of Healthy Aging Research of Yunnan Province, Kunming Key Laboratory of Healthy Aging Study, KIZ/CUHK Joint Laboratory of Bioresources and Molecular Research in Common Diseases, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan, 650201, China
| | - Qi-Yuan Zhang
- Key Laboratory of Genetic Evolution & Animal Models (Chinese Academy of Sciences), Key Laboratory of Healthy Aging Research of Yunnan Province, Kunming Key Laboratory of Healthy Aging Study, KIZ/CUHK Joint Laboratory of Bioresources and Molecular Research in Common Diseases, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan, 650201, China
| | - Xin-Yuan Liu
- Department of Military Medical Geography, Army Health Service Training Base, Third Military Medical University, Chongqing, 400038, China
| | - Fan-Qian Yin
- Key Laboratory of Genetic Evolution & Animal Models (Chinese Academy of Sciences), Key Laboratory of Healthy Aging Research of Yunnan Province, Kunming Key Laboratory of Healthy Aging Study, KIZ/CUHK Joint Laboratory of Bioresources and Molecular Research in Common Diseases, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan, 650201, China
| | - Yi-Ming Han
- Key Laboratory of Genetic Evolution & Animal Models (Chinese Academy of Sciences), Key Laboratory of Healthy Aging Research of Yunnan Province, Kunming Key Laboratory of Healthy Aging Study, KIZ/CUHK Joint Laboratory of Bioresources and Molecular Research in Common Diseases, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan, 650201, China
| | - Zong-Liang Gao
- Key Laboratory of Genetic Evolution & Animal Models (Chinese Academy of Sciences), Key Laboratory of Healthy Aging Research of Yunnan Province, Kunming Key Laboratory of Healthy Aging Study, KIZ/CUHK Joint Laboratory of Bioresources and Molecular Research in Common Diseases, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan, 650201, China
| | - Long Zhao
- Key Laboratory of Genetic Evolution & Animal Models (Chinese Academy of Sciences), Key Laboratory of Healthy Aging Research of Yunnan Province, Kunming Key Laboratory of Healthy Aging Study, KIZ/CUHK Joint Laboratory of Bioresources and Molecular Research in Common Diseases, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan, 650201, China
| | - Yong-Xuan Li
- Key Laboratory of Genetic Evolution & Animal Models (Chinese Academy of Sciences), Key Laboratory of Healthy Aging Research of Yunnan Province, Kunming Key Laboratory of Healthy Aging Study, KIZ/CUHK Joint Laboratory of Bioresources and Molecular Research in Common Diseases, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan, 650201, China
| | - Meng-Jiao Lv
- Key Laboratory of Genetic Evolution & Animal Models (Chinese Academy of Sciences), Key Laboratory of Healthy Aging Research of Yunnan Province, Kunming Key Laboratory of Healthy Aging Study, KIZ/CUHK Joint Laboratory of Bioresources and Molecular Research in Common Diseases, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan, 650201, China
| | - Li-Qin Yang
- Key Laboratory of Genetic Evolution & Animal Models (Chinese Academy of Sciences), Key Laboratory of Healthy Aging Research of Yunnan Province, Kunming Key Laboratory of Healthy Aging Study, KIZ/CUHK Joint Laboratory of Bioresources and Molecular Research in Common Diseases, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan, 650201, China
| | - Tian-Rui Xia
- Key Laboratory of Genetic Evolution & Animal Models (Chinese Academy of Sciences), Key Laboratory of Healthy Aging Research of Yunnan Province, Kunming Key Laboratory of Healthy Aging Study, KIZ/CUHK Joint Laboratory of Bioresources and Molecular Research in Common Diseases, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan, 650201, China
| | - Yong-Jun Luo
- Department of Military Medical Geography, Army Health Service Training Base, Third Military Medical University, Chongqing, 400038, China.
| | - Zhigang Zhang
- State Key Laboratory for Conservation and Utilization of Bio-Resources in Yunnan, School of Life Sciences, Yunnan University, Kunming, Yunnan, 650091, China.
| | - Qing-Peng Kong
- Key Laboratory of Genetic Evolution & Animal Models (Chinese Academy of Sciences), Key Laboratory of Healthy Aging Research of Yunnan Province, Kunming Key Laboratory of Healthy Aging Study, KIZ/CUHK Joint Laboratory of Bioresources and Molecular Research in Common Diseases, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan, 650201, China.
- CAS Center for Excellence in Animal Evolution and Genetics, Chinese Academy of Sciences, Kunming, 650223, China.
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9
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Herrera-Quintana L, Vázquez-Lorente H, Lopez-Garzon M, Cortés-Martín A, Plaza-Diaz J. Cancer and the Microbiome of the Human Body. Nutrients 2024; 16:2790. [PMID: 39203926 PMCID: PMC11357655 DOI: 10.3390/nu16162790] [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: 08/03/2024] [Revised: 08/16/2024] [Accepted: 08/20/2024] [Indexed: 09/03/2024] Open
Abstract
Cancer remains a public health concern worldwide, with its incidence increasing worldwide and expected to continue growing during the next decades. The microbiome has emerged as a central factor in human health and disease, demonstrating an intricate relationship between the microbiome and cancer. Although some microbiomes present within local tissues have been shown to restrict cancer development, mainly by interacting with cancer cells or the host immune system, some microorganisms are harmful to human health and risk factors for cancer development. This review summarizes the recent evidence concerning the microbiome and some of the most common cancer types (i.e., lung, head and neck, breast, gastric, colorectal, prostate, and cervix cancers), providing a general overview of future clinical approaches and perspectives.
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Affiliation(s)
- Lourdes Herrera-Quintana
- Department of Physiology, Schools of Pharmacy and Medicine, University of Granada, 18071 Granada, Spain; (L.H.-Q.); (H.V.-L.)
- Biomedical Research Center, Health Sciences Technology Park, University of Granada, 18016 Granada, Spain
| | - Héctor Vázquez-Lorente
- Department of Physiology, Schools of Pharmacy and Medicine, University of Granada, 18071 Granada, Spain; (L.H.-Q.); (H.V.-L.)
- Biomedical Research Center, Health Sciences Technology Park, University of Granada, 18016 Granada, Spain
| | - Maria Lopez-Garzon
- Biomedical Group (BIO277), Department of Physical Therapy, Health Sciences Faculty, University of Granada, 18171 Granada, Spain;
| | - Adrián Cortés-Martín
- PROmoting FITness and Health through Physical Activity Research Group (PROFITH), Sport and Health University Research Institute (iMUDS), University of Granada, 18016 Granada, Spain;
- APC Microbiome Ireland, School of Microbiology, University College Cork, T12 YT20 Cork, Ireland
| | - Julio Plaza-Diaz
- Department of Biochemistry and Molecular Biology II, School of Pharmacy, University of Granada, Campus de Cartuja s/n, 18071 Granada, Spain
- Instituto de Investigación Biosanitaria IBS.GRANADA, Complejo Hospitalario Universitario de Granada, 18014 Granada, Spain
- Children’s Hospital of Eastern Ontario Research Institute, Ottawa, ON K1H 8L1, Canada
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10
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Zhu XX, Zhao CY, Meng XY, Yu XY, Ma LC, Chen TX, Chang C, Chen XY, Zhang Y, Hou B, Cai WW, Du B, Han ZJ, Qiu LY, Sun HJ. Bacteroides uniformis Ameliorates Carbohydrate and Lipid Metabolism Disorders in Diabetic Mice by Regulating Bile Acid Metabolism via the Gut-Liver Axis. Pharmaceuticals (Basel) 2024; 17:1015. [PMID: 39204119 PMCID: PMC11357665 DOI: 10.3390/ph17081015] [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: 05/20/2024] [Revised: 07/03/2024] [Accepted: 07/19/2024] [Indexed: 09/03/2024] Open
Abstract
BACKGROUND Type 2 diabetes mellitus (T2DM) is a metabolic syndrome characterized by chronic inflammation, insulin resistance, and islet cell damage. The prevention of T2DM and its associated complications is an urgent public health issue that affects hundreds of millions of people globally. Numerous studies suggest that disturbances in gut metabolites are important driving forces for the pathogenesis of diabetes. However, the functions and mechanisms of action of most commensal bacteria in T2DM remain largely unknown. METHODS The quantification of bile acids (BAs) in fecal samples was performed using ultra-performance liquid chromatography-tandem mass spectrometer (UPLC-MS/MS). The anti-diabetic effects of Bacteroides uniformis (B. uniformis) and its metabolites cholic acid (CA) and chenodeoxycholic acid (CDCA) were assessed in T2DM mice induced by streptozocin (STZ) plus high-fat diet (HFD). RESULTS We found that the abundance of B. uniformis in the feces and the contents of CA and CDCA were significantly downregulated in T2DM mice. B. uniformis was diminished in diabetic individuals and this bacterium was sufficient to promote the production of BAs. Colonization of B. uniformis and intragastric gavage of CA and CDCA effectively improved the disorder of glucose and lipid metabolism in T2DM mice by inhibiting gluconeogenesis and lipolysis in the liver. CA and CDCA improved hepatic glucose and lipid metabolism by acting on the Takeda G protein-coupled receptor 5 (TGR5)/adenosine monophosphate-activated protein kinase (AMPK) signaling pathway since knockdown of TGR5 minimized the benefit of CA and CDCA. Furthermore, we screened a natural product-vaccarin (VAC)-that exhibited anti-diabetic effects by promoting the growth of B. uniformis in vitro and in vivo. Gut microbiota pre-depletion abolished the favorable effects of VAC in diabetic mice. CONCLUSIONS These data suggest that supplementation of B. uniformis may be a promising avenue to ameliorate T2DM by linking the gut and liver.
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Affiliation(s)
- Xue-Xue Zhu
- Department of Basic Medicine, Wuxi School of Medicine, Jiangnan University, Wuxi 214122, China; (X.-X.Z.); (C.-Y.Z.); (X.-Y.M.); (X.-Y.Y.); (L.-C.M.); (T.-X.C.); (C.C.); (X.-Y.C.); (Y.Z.); (B.H.); (W.-W.C.); (B.D.)
- Department of Physiology, Eberhard-Karls-University of Tübingen, 72074 Tübingen, Germany
| | - Chen-Yang Zhao
- Department of Basic Medicine, Wuxi School of Medicine, Jiangnan University, Wuxi 214122, China; (X.-X.Z.); (C.-Y.Z.); (X.-Y.M.); (X.-Y.Y.); (L.-C.M.); (T.-X.C.); (C.C.); (X.-Y.C.); (Y.Z.); (B.H.); (W.-W.C.); (B.D.)
| | - Xin-Yu Meng
- Department of Basic Medicine, Wuxi School of Medicine, Jiangnan University, Wuxi 214122, China; (X.-X.Z.); (C.-Y.Z.); (X.-Y.M.); (X.-Y.Y.); (L.-C.M.); (T.-X.C.); (C.C.); (X.-Y.C.); (Y.Z.); (B.H.); (W.-W.C.); (B.D.)
| | - Xiao-Yi Yu
- Department of Basic Medicine, Wuxi School of Medicine, Jiangnan University, Wuxi 214122, China; (X.-X.Z.); (C.-Y.Z.); (X.-Y.M.); (X.-Y.Y.); (L.-C.M.); (T.-X.C.); (C.C.); (X.-Y.C.); (Y.Z.); (B.H.); (W.-W.C.); (B.D.)
| | - Lin-Chun Ma
- Department of Basic Medicine, Wuxi School of Medicine, Jiangnan University, Wuxi 214122, China; (X.-X.Z.); (C.-Y.Z.); (X.-Y.M.); (X.-Y.Y.); (L.-C.M.); (T.-X.C.); (C.C.); (X.-Y.C.); (Y.Z.); (B.H.); (W.-W.C.); (B.D.)
| | - Tian-Xiao Chen
- Department of Basic Medicine, Wuxi School of Medicine, Jiangnan University, Wuxi 214122, China; (X.-X.Z.); (C.-Y.Z.); (X.-Y.M.); (X.-Y.Y.); (L.-C.M.); (T.-X.C.); (C.C.); (X.-Y.C.); (Y.Z.); (B.H.); (W.-W.C.); (B.D.)
| | - Chang Chang
- Department of Basic Medicine, Wuxi School of Medicine, Jiangnan University, Wuxi 214122, China; (X.-X.Z.); (C.-Y.Z.); (X.-Y.M.); (X.-Y.Y.); (L.-C.M.); (T.-X.C.); (C.C.); (X.-Y.C.); (Y.Z.); (B.H.); (W.-W.C.); (B.D.)
| | - Xin-Yu Chen
- Department of Basic Medicine, Wuxi School of Medicine, Jiangnan University, Wuxi 214122, China; (X.-X.Z.); (C.-Y.Z.); (X.-Y.M.); (X.-Y.Y.); (L.-C.M.); (T.-X.C.); (C.C.); (X.-Y.C.); (Y.Z.); (B.H.); (W.-W.C.); (B.D.)
| | - Yuan Zhang
- Department of Basic Medicine, Wuxi School of Medicine, Jiangnan University, Wuxi 214122, China; (X.-X.Z.); (C.-Y.Z.); (X.-Y.M.); (X.-Y.Y.); (L.-C.M.); (T.-X.C.); (C.C.); (X.-Y.C.); (Y.Z.); (B.H.); (W.-W.C.); (B.D.)
| | - Bao Hou
- Department of Basic Medicine, Wuxi School of Medicine, Jiangnan University, Wuxi 214122, China; (X.-X.Z.); (C.-Y.Z.); (X.-Y.M.); (X.-Y.Y.); (L.-C.M.); (T.-X.C.); (C.C.); (X.-Y.C.); (Y.Z.); (B.H.); (W.-W.C.); (B.D.)
| | - Wei-Wei Cai
- Department of Basic Medicine, Wuxi School of Medicine, Jiangnan University, Wuxi 214122, China; (X.-X.Z.); (C.-Y.Z.); (X.-Y.M.); (X.-Y.Y.); (L.-C.M.); (T.-X.C.); (C.C.); (X.-Y.C.); (Y.Z.); (B.H.); (W.-W.C.); (B.D.)
| | - Bin Du
- Department of Basic Medicine, Wuxi School of Medicine, Jiangnan University, Wuxi 214122, China; (X.-X.Z.); (C.-Y.Z.); (X.-Y.M.); (X.-Y.Y.); (L.-C.M.); (T.-X.C.); (C.C.); (X.-Y.C.); (Y.Z.); (B.H.); (W.-W.C.); (B.D.)
| | - Zhi-Jun Han
- Department of Clinical Research Center, Jiangnan University Medical Center, Wuxi 214001, China;
| | - Li-Ying Qiu
- Department of Basic Medicine, Wuxi School of Medicine, Jiangnan University, Wuxi 214122, China; (X.-X.Z.); (C.-Y.Z.); (X.-Y.M.); (X.-Y.Y.); (L.-C.M.); (T.-X.C.); (C.C.); (X.-Y.C.); (Y.Z.); (B.H.); (W.-W.C.); (B.D.)
| | - Hai-Jian Sun
- Department of Basic Medicine, Wuxi School of Medicine, Jiangnan University, Wuxi 214122, China; (X.-X.Z.); (C.-Y.Z.); (X.-Y.M.); (X.-Y.Y.); (L.-C.M.); (T.-X.C.); (C.C.); (X.-Y.C.); (Y.Z.); (B.H.); (W.-W.C.); (B.D.)
- State Key Laboratory of Natural Medicines, China Pharmaceutical University, No. 24 Tongjia Lane, Nanjing 210009, China
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Spigaglia P. Clostridioides difficile and Gut Microbiota: From Colonization to Infection and Treatment. Pathogens 2024; 13:646. [PMID: 39204246 PMCID: PMC11357127 DOI: 10.3390/pathogens13080646] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/08/2024] [Revised: 07/23/2024] [Accepted: 07/29/2024] [Indexed: 09/03/2024] Open
Abstract
Clostridioides difficile is the main causative agent of antibiotic-associated diarrhea (AAD) in hospitals in the developed world. Both infected patients and asymptomatic colonized individuals represent important transmission sources of C. difficile. C. difficile infection (CDI) shows a large range of symptoms, from mild diarrhea to severe manifestations such as pseudomembranous colitis. Epidemiological changes in CDIs have been observed in the last two decades, with the emergence of highly virulent types and more numerous and severe CDI cases in the community. C. difficile interacts with the gut microbiota throughout its entire life cycle, and the C. difficile's role as colonizer or invader largely depends on alterations in the gut microbiota, which C. difficile itself can promote and maintain. The restoration of the gut microbiota to a healthy state is considered potentially effective for the prevention and treatment of CDI. Besides a fecal microbiota transplantation (FMT), many other approaches to re-establishing intestinal eubiosis are currently under investigation. This review aims to explore current data on C. difficile and gut microbiota changes in colonized individuals and infected patients with a consideration of the recent emergence of highly virulent C. difficile types, with an overview of the microbial interventions used to restore the human gut microbiota.
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Affiliation(s)
- Patrizia Spigaglia
- Department of Infectious Diseases, Istituto Superiore di Sanità, 00161 Roma, Italy
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12
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Chu NHS, Chow E, Chan JCN. The Therapeutic Potential of the Specific Intestinal Microbiome (SIM) Diet on Metabolic Diseases. BIOLOGY 2024; 13:498. [PMID: 39056692 PMCID: PMC11273990 DOI: 10.3390/biology13070498] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/11/2024] [Revised: 07/02/2024] [Accepted: 07/04/2024] [Indexed: 07/28/2024]
Abstract
Exploring the intricate crosstalk between dietary prebiotics and the specific intestinal microbiome (SIM) is intriguing in explaining the mechanisms of current successful dietary interventions, including the Mediterranean diet and high-fiber diet. This knowledge forms a robust basis for developing a new natural food therapy. The SIM diet can be measured and evaluated to establish a reliable basis for the management of metabolic diseases, such as diabetes, metabolic (dysfunction)-associated fatty liver disease (MAFLD), obesity, and metabolic cardiovascular disease. This review aims to delve into the existing body of research to shed light on the promising developments of possible dietary prebiotics in this field and explore the implications for clinical practice. The exciting part is the crosstalk of diet, microbiota, and gut-organ interactions facilitated by producing short-chain fatty acids, bile acids, and subsequent metabolite production. These metabolic-related microorganisms include Butyricicoccus, Akkermansia, and Phascolarctobacterium. The SIM diet, rather than supplementation, holds the promise of significant health consequences via the prolonged reaction with the gut microbiome. Most importantly, the literature consistently reports no adverse effects, providing a strong foundation for the safety of this dietary therapy.
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Affiliation(s)
- Natural H. S. Chu
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Prince of Wales Hospital, Hong Kong SAR, China; (E.C.); (J.C.N.C.)
| | - Elaine Chow
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Prince of Wales Hospital, Hong Kong SAR, China; (E.C.); (J.C.N.C.)
| | - Juliana C. N. Chan
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Prince of Wales Hospital, Hong Kong SAR, China; (E.C.); (J.C.N.C.)
- Hong Kong Institute of Diabetes and Obesity, The Chinese University of Hong Kong, Prince of Wales Hospital, Hong Kong SAR, China
- Li Ka Shing Institute of Health Sciences, The Chinese University of Hong Kong, Prince of Wales Hospital, Hong Kong SAR, China
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Kim N, Ma J, Kim W, Kim J, Belenky P, Lee I. Genome-resolved metagenomics: a game changer for microbiome medicine. Exp Mol Med 2024; 56:1501-1512. [PMID: 38945961 PMCID: PMC11297344 DOI: 10.1038/s12276-024-01262-7] [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: 12/13/2023] [Revised: 03/06/2024] [Accepted: 03/25/2024] [Indexed: 07/02/2024] Open
Abstract
Recent substantial evidence implicating commensal bacteria in human diseases has given rise to a new domain in biomedical research: microbiome medicine. This emerging field aims to understand and leverage the human microbiota and derivative molecules for disease prevention and treatment. Despite the complex and hierarchical organization of this ecosystem, most research over the years has relied on 16S amplicon sequencing, a legacy of bacterial phylogeny and taxonomy. Although advanced sequencing technologies have enabled cost-effective analysis of entire microbiota, translating the relatively short nucleotide information into the functional and taxonomic organization of the microbiome has posed challenges until recently. In the last decade, genome-resolved metagenomics, which aims to reconstruct microbial genomes directly from whole-metagenome sequencing data, has made significant strides and continues to unveil the mysteries of various human-associated microbial communities. There has been a rapid increase in the volume of whole metagenome sequencing data and in the compilation of novel metagenome-assembled genomes and protein sequences in public depositories. This review provides an overview of the capabilities and methods of genome-resolved metagenomics for studying the human microbiome, with a focus on investigating the prokaryotic microbiota of the human gut. Just as decoding the human genome and its variations marked the beginning of the genomic medicine era, unraveling the genomes of commensal microbes and their sequence variations is ushering us into the era of microbiome medicine. Genome-resolved metagenomics stands as a pivotal tool in this transition and can accelerate our journey toward achieving these scientific and medical milestones.
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Affiliation(s)
- Nayeon Kim
- Department of Biotechnology, College of Life Science and Biotechnology, Yonsei University, Seoul, 03722, Republic of Korea
| | - Junyeong Ma
- Department of Biotechnology, College of Life Science and Biotechnology, Yonsei University, Seoul, 03722, Republic of Korea
| | - Wonjong Kim
- Department of Biotechnology, College of Life Science and Biotechnology, Yonsei University, Seoul, 03722, Republic of Korea
| | - Jungyeon Kim
- Department of Biotechnology, College of Life Science and Biotechnology, Yonsei University, Seoul, 03722, Republic of Korea
| | - Peter Belenky
- Department of Molecular Microbiology and Immunology, Brown University, Providence, RI, 02912, USA.
| | - Insuk Lee
- Department of Biotechnology, College of Life Science and Biotechnology, Yonsei University, Seoul, 03722, Republic of Korea.
- POSTECH Biotech Center, Pohang University of Science and Technology (POSTECH), Pohang, 37673, Republic of Korea.
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14
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Jo KJ, Lee HS, Lee N, Byun SY, Chang C, Park SE. Enterococcal bacteremia in children: Clinical Significance of vancomycin resistance. Pediatr Neonatol 2024:S1875-9572(24)00094-9. [PMID: 38972804 DOI: 10.1016/j.pedneo.2024.01.007] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/01/2023] [Revised: 01/18/2024] [Accepted: 01/24/2024] [Indexed: 07/09/2024] Open
Abstract
BACKGROUND We aimed to describe the clinical and microbiological characteristics of enterococcal bacteremia, as well as the effect of Enterococcus resistance against vancomycin on clinical outcomes in Korean children. METHODS We retrospectively reviewed the medical records of children diagnosed with enterococci isolated from blood cultures at Pusan National University Children's Hospital between December 2009 and November 2021. RESULTS In total, 64 patients were enrolled in the study. The median age was 0 years (range 0-15), and 43 (67.2%) patients were male. Enterococcus faecalis (50%) was the most commonly identified bacterial strain. Significant underlying diseases were present in 60 patients (93.8%), and the source of bacteremia was identified in 36 patients (56.3%). Among these, intravascular device was the most common identifiable source. Fifty-six (87.5%) patients had previously received broad-spectrum antibiotics and 54 (84.4%) patients were nosocomial in origin. Twenty-nine (45.3%) strains were resistant to ampicillin, and 16 (25%) strains were resistant to vancomycin. All patients with vancomycin-resistant enterococci (VRE) had underlying disease (P = 0.199), and focus of bacteremia was significantly more frequent in VRE patients (P = 0.014). Of all the patients, after appropriate antibiotic treatment, five (7.8%) patients had recurrent enterococcal bacteremia, and seven (10.9%) patients were diagnosed with bacteremia, defined as other pathogens from blood culture. The 30-day mortality rate was 7.8%. CONCLUSION Enterococcal bacteremia in children is usually nosocomial and occurs in children with serious underlying diseases. Because the number of enrolled patients and mortality were small in our study, it is difficult to identify whether the factor that determines prognosis in patients with enterococcal bacteremia is VRE or an underlying disease. Further studies with a large number of patients in a specific group are needed.
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Affiliation(s)
- Kyo Jin Jo
- Department of Pediatrics, Pusan National University Yangsan Hospital, Pusan National University School of Medicine, Yangsan, Republic of Korea
| | - Hyeon Seo Lee
- Office for Infection control, Pusan National University Yangsan Hospital, Yangsan, Republic of Korea
| | - Narae Lee
- Department of Pediatrics, Pusan National University Yangsan Hospital, Pusan National University School of Medicine, Yangsan, Republic of Korea
| | - Shin Yun Byun
- Department of Pediatrics, Pusan National University Yangsan Hospital, Pusan National University School of Medicine, Yangsan, Republic of Korea
| | - Chulhun Chang
- Department of Laboratory medicine, Pusan National University School of Medicine, Yangsan, Republic of Korea
| | - Su Eun Park
- Department of Pediatrics, Pusan National University Yangsan Hospital, Pusan National University School of Medicine, Yangsan, Republic of Korea.
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15
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Ross PA, Xu W, Jalomo-Khayrova E, Bange G, Gumerov VM, Bradley PH, Sourjik V, Zhulin IB. Framework for exploring the sensory repertoire of the human gut microbiota. mBio 2024; 15:e0103924. [PMID: 38757952 PMCID: PMC11237719 DOI: 10.1128/mbio.01039-24] [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: 04/09/2024] [Accepted: 04/17/2024] [Indexed: 05/18/2024] Open
Abstract
Bacteria sense changes in their environment and transduce signals to adjust their cellular functions accordingly. For this purpose, bacteria employ various sensors feeding into multiple signal transduction pathways. Signal recognition by bacterial sensors is studied mainly in a few model organisms, but advances in genome sequencing and analysis offer new ways of exploring the sensory repertoire of many understudied organisms. The human gut is a natural target of this line of study: it is a nutrient-rich and dynamic environment and is home to thousands of bacterial species whose activities impact human health. Many gut commensals are also poorly studied compared to model organisms and are mainly known through their genome sequences. To begin exploring the signals human gut commensals sense and respond to, we have designed a framework that enables the identification of sensory domains, prediction of signals that they recognize, and experimental verification of these predictions. We validate this framework's functionality by systematically identifying amino acid sensors in selected bacterial genomes and metagenomes, characterizing their amino acid binding properties, and demonstrating their signal transduction potential.IMPORTANCESignal transduction is a central process governing how bacteria sense and respond to their environment. The human gut is a complex environment with many living organisms and fluctuating streams of nutrients. One gut inhabitant, Escherichia coli, is a model organism for studying signal transduction. However, E. coli is not representative of most gut microbes, and signaling pathways in the thousands of other organisms comprising the human gut microbiota remain poorly understood. This work provides a foundation for how to explore signals recognized by these organisms.
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Affiliation(s)
- Patricia A. Ross
- Department of Microbiology, The Ohio State University, Columbus, Ohio, USA
- Translational Data Analytics Institute, The Ohio State University, Columbus, Ohio, USA
| | - Wenhao Xu
- Max Planck Institute for Terrestrial Microbiology, Marburg, Germany
- Center for Synthetic Microbiology (SYNMIKRO), Marburg, Germany
| | - Ekaterina Jalomo-Khayrova
- Max Planck Institute for Terrestrial Microbiology, Marburg, Germany
- Center for Synthetic Microbiology (SYNMIKRO), Marburg, Germany
- Department of Chemistry, Philipps-University Marburg, Marburg, Germany
| | - Gert Bange
- Max Planck Institute for Terrestrial Microbiology, Marburg, Germany
- Center for Synthetic Microbiology (SYNMIKRO), Marburg, Germany
- Department of Chemistry, Philipps-University Marburg, Marburg, Germany
| | - Vadim M. Gumerov
- Department of Microbiology, The Ohio State University, Columbus, Ohio, USA
- Translational Data Analytics Institute, The Ohio State University, Columbus, Ohio, USA
| | - Patrick H. Bradley
- Department of Microbiology, The Ohio State University, Columbus, Ohio, USA
- Infectious Diseases Institute, The Ohio State University, Columbus, Ohio, USA
| | - Victor Sourjik
- Max Planck Institute for Terrestrial Microbiology, Marburg, Germany
- Center for Synthetic Microbiology (SYNMIKRO), Marburg, Germany
| | - Igor B. Zhulin
- Department of Microbiology, The Ohio State University, Columbus, Ohio, USA
- Translational Data Analytics Institute, The Ohio State University, Columbus, Ohio, USA
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16
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Li Y, Wang T, Jing H, Xiao Y. Evolutionary ecology of denitrifying methanotrophic NC10 bacteria in the deep-sea biosphere. Mol Ecol 2024; 33:e17372. [PMID: 38709214 DOI: 10.1111/mec.17372] [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: 12/13/2023] [Revised: 04/02/2024] [Accepted: 04/22/2024] [Indexed: 05/07/2024]
Abstract
The NC10 phylum links anaerobic methane oxidation to nitrite denitrification through a unique O2-producing intra-aerobic methanotrophic pathway. Although numerous amplicon-based studies revealed the distribution of this phylum, comprehensive genomic insights and niche characterization in deep-sea environments were still largely unknown. In this study, we extensively surveyed the NC10 bacteria across diverse deep-sea environments, including waters, sediments, cold seeps, biofilms, rocky substrates, and subseafloor aquifers. We then reconstructed and analysed 38 metagenome-assembled genomes (MAGs), and revealed the extensive distribution of NC10 bacteria and their intense selective pressure in these harsh environments. Isotopic analyses combined with gene expression profiling confirmed that active nitrite-dependent anaerobic methane oxidation (n-DAMO) occurs within deep-sea sediments. In addition, the identification of the Wood-Ljungdahl (WL) and 3-hydroxypropionate/4-hydroxybutyrat (3HB/4HP) pathways in these MAGs suggests their capability for carbon fixation as chemoautotrophs in these deep-sea environments. Indeed, we found that for their survival in the oligotrophic deep-sea biosphere, NC10 bacteria encode two branches of the WL pathway, utilizing acetyl-CoA from the carbonyl branch for citric acid cycle-based energy production and methane from the methyl branch for n-DAMO. The observed low ratios of non-synonymous substitutions to synonymous substitutions (pN/pS) in n-DAMO-related genes across these habitats suggest a pronounced purifying selection that is critical for the survival of NC10 bacteria in oligotrophic deep-sea environments. These findings not only advance our understanding of the evolutionary adaptations of NC10 bacteria but also underscore the intricate coupling between the carbon and nitrogen cycles within deep-sea ecosystems, driven by this bacterial phylum.
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Affiliation(s)
- Yingdong Li
- CAS Key Laboratory for Experimental Study Under Deep-Sea Extreme Conditions, Institute of Deep-Sea Science and Engineering, Chinese Academy of Sciences, Sanya, China
- Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai), Zhuhai, China
- HKUST-CAS Sanya Joint Laboratory of Marine Science Research, Chinese Academy of Sciences, Sanya, China
| | - Ting Wang
- CAS Key Laboratory for Experimental Study Under Deep-Sea Extreme Conditions, Institute of Deep-Sea Science and Engineering, Chinese Academy of Sciences, Sanya, China
- University of Chinese Academy of Sciences, Beijing, China
| | - Hongmei Jing
- CAS Key Laboratory for Experimental Study Under Deep-Sea Extreme Conditions, Institute of Deep-Sea Science and Engineering, Chinese Academy of Sciences, Sanya, China
- Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai), Zhuhai, China
- HKUST-CAS Sanya Joint Laboratory of Marine Science Research, Chinese Academy of Sciences, Sanya, China
| | - Yao Xiao
- CAS Key Laboratory for Experimental Study Under Deep-Sea Extreme Conditions, Institute of Deep-Sea Science and Engineering, Chinese Academy of Sciences, Sanya, China
- University of Chinese Academy of Sciences, Beijing, China
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17
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Hou S, Tang T, Cheng S, Liu Y, Xia T, Chen T, Fuhrman J, Sun F. DeepMicroClass sorts metagenomic contigs into prokaryotes, eukaryotes and viruses. NAR Genom Bioinform 2024; 6:lqae044. [PMID: 38711860 PMCID: PMC11071121 DOI: 10.1093/nargab/lqae044] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/07/2023] [Revised: 03/18/2024] [Accepted: 04/18/2024] [Indexed: 05/08/2024] Open
Abstract
Sequence classification facilitates a fundamental understanding of the structure of microbial communities. Binary metagenomic sequence classifiers are insufficient because environmental metagenomes are typically derived from multiple sequence sources. Here we introduce a deep-learning based sequence classifier, DeepMicroClass, that classifies metagenomic contigs into five sequence classes, i.e. viruses infecting prokaryotic or eukaryotic hosts, eukaryotic or prokaryotic chromosomes, and prokaryotic plasmids. DeepMicroClass achieved high performance for all sequence classes at various tested sequence lengths ranging from 500 bp to 100 kbps. By benchmarking on a synthetic dataset with variable sequence class composition, we showed that DeepMicroClass obtained better performance for eukaryotic, plasmid and viral contig classification than other state-of-the-art predictors. DeepMicroClass achieved comparable performance on viral sequence classification with geNomad and VirSorter2 when benchmarked on the CAMI II marine dataset. Using a coastal daily time-series metagenomic dataset as a case study, we showed that microbial eukaryotes and prokaryotic viruses are integral to microbial communities. By analyzing monthly metagenomes collected at HOT and BATS, we found relatively higher viral read proportions in the subsurface layer in late summer, consistent with the seasonal viral infection patterns prevalent in these areas. We expect DeepMicroClass will promote metagenomic studies of under-appreciated sequence types.
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Affiliation(s)
- Shengwei Hou
- Department of Ocean Science and Engineering, Southern University of Science and Technology, Shenzhen 518055, China
- Marine and Environmental Biology, Department of Biological Sciences, University of Southern California, Los Angeles, CA 90089, USA
| | - Tianqi Tang
- Department of Quantitative and Computational Biology, University of Southern California, Los Angeles, CA 90089, USA
| | - Siliangyu Cheng
- Department of Quantitative and Computational Biology, University of Southern California, Los Angeles, CA 90089, USA
| | - Yuanhao Liu
- Department of Ocean Science and Engineering, Southern University of Science and Technology, Shenzhen 518055, China
| | - Tian Xia
- Department of Ocean Science and Engineering, Southern University of Science and Technology, Shenzhen 518055, China
| | - Ting Chen
- Department of Computer Science and Technology, Institute of Artificial Intelligence & BNRist, Tsinghua University, Beijing 100084, China
| | - Jed A Fuhrman
- Marine and Environmental Biology, Department of Biological Sciences, University of Southern California, Los Angeles, CA 90089, USA
| | - Fengzhu Sun
- Department of Quantitative and Computational Biology, University of Southern California, Los Angeles, CA 90089, USA
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18
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Davison C, Tallman S, de Ste-Croix M, Antonio M, Oggioni MR, Kwambana-Adams B, Freund F, Beleza S. Long-term evolution of Streptococcus mitis and Streptococcus pneumoniae leads to higher genetic diversity within rather than between human populations. PLoS Genet 2024; 20:e1011317. [PMID: 38843312 PMCID: PMC11185502 DOI: 10.1371/journal.pgen.1011317] [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: 11/22/2023] [Revised: 06/18/2024] [Accepted: 05/23/2024] [Indexed: 06/19/2024] Open
Abstract
Evaluation of the apportionment of genetic diversity of human bacterial commensals within and between human populations is an important step in the characterization of their evolutionary potential. Recent studies showed a correlation between the genomic diversity of human commensal strains and that of their host, but the strength of this correlation and of the geographic structure among human populations is a matter of debate. Here, we studied the genomic diversity and evolution of the phylogenetically related oro-nasopharyngeal healthy-carriage Streptococcus mitis and Streptococcus pneumoniae, whose lifestyles range from stricter commensalism to high pathogenic potential. A total of 119 S. mitis genomes showed higher within- and among-host variation than 810 S. pneumoniae genomes in European, East Asian and African populations. Summary statistics of the site-frequency spectrum for synonymous and non-synonymous variation and ABC modelling showed this difference to be due to higher ancestral bacterial population effective size (Ne) in S. mitis, whose genomic variation has been maintained close to mutation-drift equilibrium across (at least many) generations, whereas S. pneumoniae has been expanding from a smaller ancestral bacterial population. Strikingly, both species show limited differentiation among human populations. As genetic differentiation is inversely proportional to the product of effective population size and migration rate (Nem), we argue that large Ne have led to similar differentiation patterns, even if m is very low for S. mitis. We conclude that more diversity within than among human populations and limited population differentiation must be common features of the human microbiome due to large Ne.
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Affiliation(s)
- Charlotte Davison
- Department of Genetics and Genome Biology, University of Leicester, Leicester, United Kingdom
| | - Sam Tallman
- Department of Genetics and Genome Biology, University of Leicester, Leicester, United Kingdom
| | - Megan de Ste-Croix
- Department of Genetics and Genome Biology, University of Leicester, Leicester, United Kingdom
| | - Martin Antonio
- Medical Research Council Unit The Gambia at the London School of Hygiene & Tropical Medicine, Fajara, The Gambia
- Centre for Epidemic Preparedness and Response, London School of Hygiene & Tropical Medicine, London, United Kingdom
- Department of Infection Biology, Faculty of Infectious and Tropical Diseases, London School of Hygiene & Tropical Medicine, London, United Kingdom
| | - Marco R. Oggioni
- Department of Genetics and Genome Biology, University of Leicester, Leicester, United Kingdom
- Department of Pharmacy and Biotechnology, University of Bologna, Bologna, Italy
| | - Brenda Kwambana-Adams
- Medical Research Council Unit The Gambia at the London School of Hygiene & Tropical Medicine, Fajara, The Gambia
- Department of Clinical Sciences, Liverpool School of Tropical Medicine, Liverpool, United Kingdom
- Malawi Liverpool Welcome Programme, Blantyre, Malawi
- Division of Infection and Immunity, University College London, London, United Kingdom
| | - Fabian Freund
- Department of Genetics and Genome Biology, University of Leicester, Leicester, United Kingdom
| | - Sandra Beleza
- Department of Genetics and Genome Biology, University of Leicester, Leicester, United Kingdom
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19
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De Meester L, Vázquez-Domínguez E, Kassen R, Forest F, Bellon MR, Koskella B, Scherson RA, Colli L, Hendry AP, Crandall KA, Faith DP, Starger CJ, Geeta R, Araki H, Dulloo EM, Souffreau C, Schroer S, Johnson MTJ. A link between evolution and society fostering the UN sustainable development goals. Evol Appl 2024; 17:e13728. [PMID: 38884021 PMCID: PMC11178947 DOI: 10.1111/eva.13728] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2023] [Revised: 05/16/2024] [Accepted: 05/17/2024] [Indexed: 06/18/2024] Open
Abstract
Given the multitude of challenges Earth is facing, sustainability science is of key importance to our continued existence. Evolution is the fundamental biological process underlying the origin of all biodiversity. This phylogenetic diversity fosters the resilience of ecosystems to environmental change, and provides numerous resources to society, and options for the future. Genetic diversity within species is also key to the ability of populations to evolve and adapt to environmental change. Yet, the value of evolutionary processes and the consequences of their impairment have not generally been considered in sustainability research. We argue that biological evolution is important for sustainability and that the concepts, theory, data, and methodological approaches used in evolutionary biology can, in crucial ways, contribute to achieving the UN Sustainable Development Goals (SDGs). We discuss how evolutionary principles are relevant to understanding, maintaining, and improving Nature Contributions to People (NCP) and how they contribute to the SDGs. We highlight specific applications of evolution, evolutionary theory, and evolutionary biology's diverse toolbox, grouped into four major routes through which evolution and evolutionary insights can impact sustainability. We argue that information on both within-species evolutionary potential and among-species phylogenetic diversity is necessary to predict population, community, and ecosystem responses to global change and to make informed decisions on sustainable production, health, and well-being. We provide examples of how evolutionary insights and the tools developed by evolutionary biology can not only inspire and enhance progress on the trajectory to sustainability, but also highlight some obstacles that hitherto seem to have impeded an efficient uptake of evolutionary insights in sustainability research and actions to sustain SDGs. We call for enhanced collaboration between sustainability science and evolutionary biology to understand how integrating these disciplines can help achieve the sustainable future envisioned by the UN SDGs.
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Affiliation(s)
- Luc De Meester
- Leibniz Institute of Freshwater Ecology and Inland Fisheries (IGB) Berlin Germany
- Laboratory of Aquatic Ecology, Evolution and Conservation KU Leuven Leuven Belgium
- Institute of Biology Freie University Berlin Berlin Germany
- Berlin-Brandenburg Institute of Advanced Biodiversity Research (BBIB) Berlin Germany
| | - Ella Vázquez-Domínguez
- Departamento de Ecología de la Biodiversidad, Instituto de Ecología, Universidad Nacional Autónoma de México Ciudad Universitaria Ciudad de México Mexico
- Conservation and Evolutionary Genetics Group Estación Biológica de Doñana (EBD-CSIC) Sevilla Spain
| | - Rees Kassen
- Department of Biology McGill University Montreal Quebec Canada
| | | | - Mauricio R Bellon
- Comisión Nacional Para el Conocimiento y Uso de la Biodiversidad (CONABIO) México City Mexico
- Swette Center for Sustainable Food Systems Arizona State University Tempe Arizona USA
| | - Britt Koskella
- Department of Integrative Biology University of California Berkeley California USA
| | - Rosa A Scherson
- Laboratorio Evolución y Sistemática, Departamento de Silvicultura y Conservación de la Naturaleza Universidad de Chile Santiago Chile
| | - Licia Colli
- Dipartimento di Scienze Animali, Della Nutrizione e Degli Alimenti, BioDNA Centro di Ricerca Sulla Biodiversità e Sul DNA Antico, Facoltà di Scienze Agrarie, Alimentari e Ambientali Università Cattolica del Sacro Cuore Piacenza Italy
| | - Andrew P Hendry
- Redpath Museum & Department of Biology McGill University Montreal Quebec Canada
| | - Keith A Crandall
- Department of Biostatistics and Bioinformatics George Washington University Washington DC USA
- Department of Invertebrate Zoology, US National Museum of Natural History Smithsonian Institution Washington DC USA
| | | | - Craig J Starger
- School of Global Environmental Sustainability Colorado State University Fort Collins Colorado USA
| | - R Geeta
- Department of Botany University of Delhi New Delhi India
| | - Hitoshi Araki
- Research Faculty of Agriculture Hokkaido University Sapporo Japan
| | - Ehsan M Dulloo
- Effective Genetic Resources Conservation and Use Alliance of Bioversity International and CIAT Rome Italy
| | - Caroline Souffreau
- Laboratory of Aquatic Ecology, Evolution and Conservation KU Leuven Leuven Belgium
| | - Sibylle Schroer
- Leibniz Institute of Freshwater Ecology and Inland Fisheries (IGB) Berlin Germany
| | - Marc T J Johnson
- Department of Biology & Centre for Urban Environments University of Toronto Mississauga Mississauga Ontario Canada
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20
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Kirsch JM, Hryckowian AJ, Duerkop BA. A metagenomics pipeline reveals insertion sequence-driven evolution of the microbiota. Cell Host Microbe 2024; 32:739-754.e4. [PMID: 38565143 PMCID: PMC11081829 DOI: 10.1016/j.chom.2024.03.005] [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: 10/16/2023] [Revised: 02/06/2024] [Accepted: 03/08/2024] [Indexed: 04/04/2024]
Abstract
Insertion sequence (IS) elements are mobile genetic elements in bacterial genomes that support adaptation. We developed a database of IS elements coupled to a computational pipeline that identifies IS element insertions in the microbiota. We discovered that diverse IS elements insert into the genomes of intestinal bacteria regardless of human host lifestyle. These insertions target bacterial accessory genes that aid in their adaptation to unique environmental conditions. Using IS expansion in Bacteroides, we show that IS activity leads to the insertion of "hot spots" in accessory genes. We show that IS insertions are stable and can be transferred between humans. Extreme environmental perturbations force IS elements to fall out of the microbiota, and many fail to rebound following homeostasis. Our work shows that IS elements drive bacterial genome diversification within the microbiota and establishes a framework for understanding how strain-level variation within the microbiota impacts human health.
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Affiliation(s)
- Joshua M Kirsch
- Department of Immunology and Microbiology, University of Colorado Anschutz Medical Campus, School of Medicine, Aurora, CO 80045, USA
| | - Andrew J Hryckowian
- Department of Medicine, Division of Gastroenterology and Hepatology, University of Wisconsin School of Medicine and Public Health, Madison, WI 53706, USA; Department of Medical Microbiology & Immunology, University of Wisconsin School of Medicine and Public Health, Madison, WI 53706, USA
| | - Breck A Duerkop
- Department of Immunology and Microbiology, University of Colorado Anschutz Medical Campus, School of Medicine, Aurora, CO 80045, USA.
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21
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Agrinier AL, Pilon G, Marette A. A low-cost, easy-to-use prototype bioreactor model for the investigation of human gut microbiota: validation using a prebiotic treatment. Front Microbiol 2024; 15:1250366. [PMID: 38779503 PMCID: PMC11110930 DOI: 10.3389/fmicb.2024.1250366] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2023] [Accepted: 03/15/2024] [Indexed: 05/25/2024] Open
Abstract
In vitro gut models allow for the study of the impact of molecules on human gut microbiota composition and function without the implication of the host. However, current models, such as the Simulator of Human Intestinal Microbial Ecosystem (SHIME®), are expensive, time-consuming, and require specialized personnel. Homemade in vitro models that lessen these issues have limited evidence of their humanlike functionality. In this study, we present the development of a low-cost and easy-to-use bioreactor with the proven functionality of human microbiota. In our model, we evaluated the capability of replicating human gut microbiota growth and the response of the human bacterial community to a prebiotic, resistant starch, particularly resistant starch type 2 (RS2). Our bioreactor produced an environment that was stable for pH, temperature, and anaerobic conditions. The bioreactor consistently cultivated bacterial communities over a 48 h time period, replicating the composition of the gut microbiota and the associated metabolite production response to RS2, in line with prior human studies. In response to the RS2 prebiotic, we observed an increase in Bifidobacterium adolescentis and Bifidobacterium faecale and an increase in the production of the short-chain fatty acids such as acetate, propionate, and isobutyrate. Taken together, these data demonstrate that our low-cost and user-friendly prototype bioreactor model provides a favorable environment for the growth of human gut microbiota and can mimic its response to a prebiotic.
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Affiliation(s)
- Anne-Laure Agrinier
- Department of Medicine, Faculty of Medicine, Québec Heart and Lung Institute (IUCPQ), Université Laval, Québec, QC, Canada
- Center for Nutrition, Health and Society (NUTRISS), Institute of Nutrition and Functional Foods (INAF), Université Laval Québec, Québec, QC, Canada
| | - Geneviève Pilon
- Department of Medicine, Faculty of Medicine, Québec Heart and Lung Institute (IUCPQ), Université Laval, Québec, QC, Canada
- Center for Nutrition, Health and Society (NUTRISS), Institute of Nutrition and Functional Foods (INAF), Université Laval Québec, Québec, QC, Canada
| | - André Marette
- Department of Medicine, Faculty of Medicine, Québec Heart and Lung Institute (IUCPQ), Université Laval, Québec, QC, Canada
- Center for Nutrition, Health and Society (NUTRISS), Institute of Nutrition and Functional Foods (INAF), Université Laval Québec, Québec, QC, Canada
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22
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Geistlinger L, Mirzayi C, Zohra F, Azhar R, Elsafoury S, Grieve C, Wokaty J, Gamboa-Tuz SD, Sengupta P, Hecht I, Ravikrishnan A, Gonçalves RS, Franzosa E, Raman K, Carey V, Dowd JB, Jones HE, Davis S, Segata N, Huttenhower C, Waldron L. BugSigDB captures patterns of differential abundance across a broad range of host-associated microbial signatures. Nat Biotechnol 2024; 42:790-802. [PMID: 37697152 PMCID: PMC11098749 DOI: 10.1038/s41587-023-01872-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: 10/24/2022] [Accepted: 06/20/2023] [Indexed: 09/13/2023]
Abstract
The literature of human and other host-associated microbiome studies is expanding rapidly, but systematic comparisons among published results of host-associated microbiome signatures of differential abundance remain difficult. We present BugSigDB, a community-editable database of manually curated microbial signatures from published differential abundance studies accompanied by information on study geography, health outcomes, host body site and experimental, epidemiological and statistical methods using controlled vocabulary. The initial release of the database contains >2,500 manually curated signatures from >600 published studies on three host species, enabling high-throughput analysis of signature similarity, taxon enrichment, co-occurrence and coexclusion and consensus signatures. These data allow assessment of microbiome differential abundance within and across experimental conditions, environments or body sites. Database-wide analysis reveals experimental conditions with the highest level of consistency in signatures reported by independent studies and identifies commonalities among disease-associated signatures, including frequent introgression of oral pathobionts into the gut.
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Affiliation(s)
- Ludwig Geistlinger
- Center for Computational Biomedicine, Harvard Medical School, Boston, MA, USA
| | - Chloe Mirzayi
- Institute for Implementation Science in Population Health, City University of New York School of Public Health, New York, NY, USA
- Department of Epidemiology and Biostatistics, City University of New York School of Public Health, New York, NY, USA
| | - Fatima Zohra
- Institute for Implementation Science in Population Health, City University of New York School of Public Health, New York, NY, USA
- Department of Epidemiology and Biostatistics, City University of New York School of Public Health, New York, NY, USA
| | - Rimsha Azhar
- Institute for Implementation Science in Population Health, City University of New York School of Public Health, New York, NY, USA
- Department of Epidemiology and Biostatistics, City University of New York School of Public Health, New York, NY, USA
| | - Shaimaa Elsafoury
- Institute for Implementation Science in Population Health, City University of New York School of Public Health, New York, NY, USA
- Department of Epidemiology and Biostatistics, City University of New York School of Public Health, New York, NY, USA
| | - Clare Grieve
- Institute for Implementation Science in Population Health, City University of New York School of Public Health, New York, NY, USA
- Department of Epidemiology and Biostatistics, City University of New York School of Public Health, New York, NY, USA
| | - Jennifer Wokaty
- Institute for Implementation Science in Population Health, City University of New York School of Public Health, New York, NY, USA
- Department of Epidemiology and Biostatistics, City University of New York School of Public Health, New York, NY, USA
| | - Samuel David Gamboa-Tuz
- Institute for Implementation Science in Population Health, City University of New York School of Public Health, New York, NY, USA
- Department of Epidemiology and Biostatistics, City University of New York School of Public Health, New York, NY, USA
| | - Pratyay Sengupta
- Department of Biotechnology, Bhupat and Jyoti Mehta School of Biosciences, Indian Institute of Technology (IIT) Madras, Chennai, India
- Robert Bosch Centre for Data Science and Artificial Intelligence, Indian Institute of Technology (IIT) Madras, Chennai, India
- Centre for Integrative Biology and Systems mEdicine (IBSE), Indian Institute of Technology (IIT) Madras, Chennai, India
| | | | - Aarthi Ravikrishnan
- Genome Institute of Singapore (GIS), Agency for Science, Technology and Research (A*STAR), Singapore, Republic of Singapore
| | - Rafael S Gonçalves
- Center for Computational Biomedicine, Harvard Medical School, Boston, MA, USA
| | - Eric Franzosa
- Infectious Disease and Microbiome Program, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Department of Biostatistics, Harvard T. H. Chan School of Public Health, Boston, MA, USA
- Harvard Chan Microbiome in Public Health Center, Harvard T. H. Chan School of Public Health, Boston, MA, USA
| | - Karthik Raman
- Department of Biotechnology, Bhupat and Jyoti Mehta School of Biosciences, Indian Institute of Technology (IIT) Madras, Chennai, India
- Robert Bosch Centre for Data Science and Artificial Intelligence, Indian Institute of Technology (IIT) Madras, Chennai, India
- Centre for Integrative Biology and Systems mEdicine (IBSE), Indian Institute of Technology (IIT) Madras, Chennai, India
| | - Vincent Carey
- Channing Division of Network Medicine, Mass General Brigham, Harvard Medical School, Boston, MA, USA
| | - Jennifer B Dowd
- Leverhulme Centre for Demographic Science, University of Oxford, Oxford, UK
| | - Heidi E Jones
- Institute for Implementation Science in Population Health, City University of New York School of Public Health, New York, NY, USA
- Department of Epidemiology and Biostatistics, City University of New York School of Public Health, New York, NY, USA
| | - Sean Davis
- Departments of Biomedical Informatics and Medicine, University of Colorado Anschutz School of Medicine, Denver, CO, USA
| | - Nicola Segata
- Department CIBIO, University of Trento, Trento, Italy
- Istituto Europeo di Oncologia (IEO) IRCSS, Milan, Italy
| | - Curtis Huttenhower
- Infectious Disease and Microbiome Program, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Department of Biostatistics, Harvard T. H. Chan School of Public Health, Boston, MA, USA
- Harvard Chan Microbiome in Public Health Center, Harvard T. H. Chan School of Public Health, Boston, MA, USA
| | - Levi Waldron
- Institute for Implementation Science in Population Health, City University of New York School of Public Health, New York, NY, USA.
- Department of Epidemiology and Biostatistics, City University of New York School of Public Health, New York, NY, USA.
- Department CIBIO, University of Trento, Trento, Italy.
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23
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Koo H, Morrow CD. Bacteroidales-Specific Antimicrobial Genes Can Influence the Selection of the Dominant Fecal Strain of Bacteroides vulgatus and Bacteroides uniformis from the Gastrointestinal Tract Microbial Community. Life (Basel) 2024; 14:555. [PMID: 38792577 PMCID: PMC11121782 DOI: 10.3390/life14050555] [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: 03/13/2024] [Revised: 04/21/2024] [Accepted: 04/23/2024] [Indexed: 05/26/2024] Open
Abstract
Bacteroides vulgatus and Bacteroides uniformis are known to be abundant in the human fecal microbial community. Although these strains typically remain stable over time in humans, disruption of this microbial community following antibiotics resulted in the transient change to new strains suggesting that a complex, dynamic strain community exists in humans. To further study the selection of dominant fecal microbial strains from the gastrointestinal tract (GIT) community, we analyzed three longitudinal metagenomic sequencing data sets using BLAST+ to identify genes encoding Bacteroidales-specific antimicrobial proteins (BSAP) that have known functions to restrict species-specific replication of B. uniformis (BSAP-2) or B. vulgatus (BSAP-3) and have been postulated to provide a competitive advantage in microbial communities. In the HMP (Human Microbiome Project) data set, we found fecal samples from individuals had B. vulgatus or B. uniformis with either complete or deleted BSAP genes that did not change over time. We also examined fecal samples from two separate longitudinal data sets of individuals who had been given either single or multiple antibiotics. The BSAP gene pattern from most individuals given either single or multiple antibiotics recovered to be the same as the pre-antibiotic strain. However, in a few individuals, we found incomplete BSAP-3 genes at early times during the recovery that were replaced by B. vulgatus with the complete BSAP-3 gene, consistent with the function of the BSAP to specifically restrict Bacteroides spp. The results of these studies provide insights into the fluxes that occur in the Bacteroides spp. GIT community following perturbation and the dynamics of the selection of a dominant fecal strain of Bacteroides spp.
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Affiliation(s)
- Hyunmin Koo
- Department of Genetics, Hugh Kaul Precision Medicine Institute, University of Alabama at Birmingham, Birmingham, AL 35294, USA
| | - Casey D. Morrow
- Department of Cell, Developmental and Integrative Biology, Hugh Kaul Precision Medicine Institute, University of Alabama at Birmingham, Birmingham, AL 35294, USA
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24
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Wei X, Tsai MS, Liang L, Jiang L, Hung CJ, Jelliffe-Pawlowski L, Rand L, Snyder M, Jiang C. Vaginal microbiomes show ethnic evolutionary dynamics and positive selection of Lactobacillus adhesins driven by a long-term niche-specific process. Cell Rep 2024; 43:114078. [PMID: 38598334 DOI: 10.1016/j.celrep.2024.114078] [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: 09/15/2023] [Revised: 03/01/2024] [Accepted: 03/22/2024] [Indexed: 04/12/2024] Open
Abstract
The vaginal microbiome's composition varies among ethnicities. However, the evolutionary landscape of the vaginal microbiome in the multi-ethnic context remains understudied. We perform a systematic evolutionary analysis of 351 vaginal microbiome samples from 35 multi-ethnic pregnant women, in addition to two validation cohorts, totaling 462 samples from 90 women. Microbiome alpha diversity and community state dynamics show strong ethnic signatures. Lactobacillaceae have a higher ratio of non-synonymous to synonymous polymorphism and lower nucleotide diversity than non-Lactobacillaceae in all ethnicities, with a large repertoire of positively selected genes, including the mucin-binding and cell wall anchor genes. These evolutionary dynamics are driven by the long-term evolutionary process unique to the human vaginal niche. Finally, we propose an evolutionary model reflecting the environmental niches of microbes. Our study reveals the extensive ethnic signatures in vaginal microbial ecology and evolution, highlighting the importance of studying the host-microbiome ecosystem from an evolutionary perspective.
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Affiliation(s)
- Xin Wei
- MOE Key Laboratory of Biosystems Homeostasis & Protection, and Zhejiang Provincial Key Laboratory of Cancer Molecular Cell Biology, Life Sciences Institute, Zhejiang University, Hangzhou, Zhejiang 310030, China; State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang 310009, China
| | - Ming-Shian Tsai
- Department of Genetics, Stanford University School of Medicine, Stanford, CA 94305, USA
| | - Liang Liang
- Department of Genetics, Stanford University School of Medicine, Stanford, CA 94305, USA
| | - Liuyiqi Jiang
- MOE Key Laboratory of Biosystems Homeostasis & Protection, and Zhejiang Provincial Key Laboratory of Cancer Molecular Cell Biology, Life Sciences Institute, Zhejiang University, Hangzhou, Zhejiang 310030, China
| | - Chia-Jui Hung
- Department of Genetics, Stanford University School of Medicine, Stanford, CA 94305, USA; Department of Biomedical Informatics, Stanford University School of Medicine, Stanford, CA 94305, USA
| | - Laura Jelliffe-Pawlowski
- Department of Epidemiology and Biostatistics, School of Medicine, University of California, San Francisco, San Francisco, CA 94158, USA
| | - Larry Rand
- Department of Obstetrics, Gynecology & Reproductive Sciences, School of Medicine, University of California, San Francisco, San Francisco, CA 94158, USA.
| | - Michael Snyder
- Department of Genetics, Stanford University School of Medicine, Stanford, CA 94305, USA.
| | - Chao Jiang
- MOE Key Laboratory of Biosystems Homeostasis & Protection, and Zhejiang Provincial Key Laboratory of Cancer Molecular Cell Biology, Life Sciences Institute, Zhejiang University, Hangzhou, Zhejiang 310030, China; State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang 310009, China.
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25
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McCumber AW, Kim YJ, Granek J, Tighe RM, Gunsch CK. Soil exposure modulates the immune response to an influenza challenge in a mouse model. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 922:170865. [PMID: 38340827 DOI: 10.1016/j.scitotenv.2024.170865] [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: 09/25/2023] [Revised: 02/06/2024] [Accepted: 02/07/2024] [Indexed: 02/12/2024]
Abstract
There is increasing evidence that early life microbial exposure aids in immune system maturation, more recently known as the "old friends" hypothesis. To test this hypothesis, 4-week-old mice were exposed to soils of increasing microbial diversity for four weeks followed by an intranasal challenge with either live or heat inactivated influenza A virus and monitored for 7 additional days. Perturbations of the gut and lung microbiomes were explored through 16S rRNA amplicon sequencing. RNA-sequencing was used to examine the host response in the lung tissue through differential gene expression. We determined that compared to the gut microbiome, the lung microbiome is more susceptible to changes in beta diversity following soil exposure with Lachnospiraceae ASVs accounting for most of the differences between groups. While several immune system genes were found to be significantly differentially expressed in lung tissue due to soil exposures, there were no differences in viral load or weight loss. This study shows that exposure to diverse microbial communities through soil exposure alters the gut and lung microbiomes resulting in differential expression of specific immune system related genes within the lung following an influenza challenge.
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Affiliation(s)
- Alexander W McCumber
- Department of Environmental Sciences and Engineering, University of North Carolina, Chapel Hill, Chapel Hill, NC, USA
| | - Yeon Ji Kim
- Civil and Environmental Engineering Department, Duke University, Durham, NC, USA
| | - Joshua Granek
- Department of Biostatistics and Bioinformatics, Duke University, Durham, NC, USA
| | - Robert M Tighe
- Department of Medicine, Duke University, Durham, NC, USA
| | - Claudia K Gunsch
- Civil and Environmental Engineering Department, Duke University, Durham, NC, USA.
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26
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Zhang J, Wang H, Liu Y, Shi M, Zhang M, Zhang H, Chen J. Advances in fecal microbiota transplantation for the treatment of diabetes mellitus. Front Cell Infect Microbiol 2024; 14:1370999. [PMID: 38660489 PMCID: PMC11039806 DOI: 10.3389/fcimb.2024.1370999] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/22/2024] [Accepted: 03/27/2024] [Indexed: 04/26/2024] Open
Abstract
Diabetes mellitus (DM) refers to a group of chronic diseases with global prevalence, characterized by persistent hyperglycemia resulting from various etiologies. DM can harm various organ systems and lead to acute or chronic complications, which severely endanger human well-being. Traditional treatment mainly involves controlling blood sugar levels through replacement therapy with drugs and insulin; however, some patients still find a satisfactory curative effect difficult to achieve. Extensive research has demonstrated a close correlation between enteric dysbacteriosis and the pathogenesis of various types of DM, paving the way for novel therapeutic approaches targeting the gut microbiota to manage DM. Fecal microbiota transplantation (FMT), a method for re-establishing the intestinal microbiome balance, offers new possibilities for treating diabetes. This article provides a comprehensive review of the correlation between DM and the gut microbiota, as well as the current advancements in FMT treatment for DM, using FMT as an illustrative example. This study aims to offer novel perspectives and establish a theoretical foundation for the clinical diagnosis and management of DM.
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Affiliation(s)
- Juan Zhang
- Department of Endocrinology, the Affiliated Huai’an No.1 People’s Hospital of Nanjing Medical University, Huai’an, Jiangsu, China
| | - Honggang Wang
- Department of Gastroenterology, the Affiliated Huai’an No.1 People’s Hospital of Nanjing Medical University, Huai’an, Jiangsu, China
| | - Ying Liu
- Department of Endocrinology, the Affiliated Huai’an No.1 People’s Hospital of Nanjing Medical University, Huai’an, Jiangsu, China
| | - Min Shi
- Department of Endocrinology, the Affiliated Huai’an No.1 People’s Hospital of Nanjing Medical University, Huai’an, Jiangsu, China
| | - Minna Zhang
- Department of Gastroenterology, the Affiliated Huai’an No.1 People’s Hospital of Nanjing Medical University, Huai’an, Jiangsu, China
| | - Hong Zhang
- Department of Endocrinology, the Affiliated Huai’an No.1 People’s Hospital of Nanjing Medical University, Huai’an, Jiangsu, China
| | - Juan Chen
- Department of Endocrinology, the Affiliated Huai’an No.1 People’s Hospital of Nanjing Medical University, Huai’an, Jiangsu, China
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27
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Zhou X, Shen X, Johnson JS, Spakowicz DJ, Agnello M, Zhou W, Avina M, Honkala A, Chleilat F, Chen SJ, Cha K, Leopold S, Zhu C, Chen L, Lyu L, Hornburg D, Wu S, Zhang X, Jiang C, Jiang L, Jiang L, Jian R, Brooks AW, Wang M, Contrepois K, Gao P, Rose SMSF, Tran TDB, Nguyen H, Celli A, Hong BY, Bautista EJ, Dorsett Y, Kavathas PB, Zhou Y, Sodergren E, Weinstock GM, Snyder MP. Longitudinal profiling of the microbiome at four body sites reveals core stability and individualized dynamics during health and disease. Cell Host Microbe 2024; 32:506-526.e9. [PMID: 38479397 PMCID: PMC11022754 DOI: 10.1016/j.chom.2024.02.012] [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: 12/05/2023] [Revised: 01/23/2024] [Accepted: 02/20/2024] [Indexed: 03/26/2024]
Abstract
To understand the dynamic interplay between the human microbiome and host during health and disease, we analyzed the microbial composition, temporal dynamics, and associations with host multi-omics, immune, and clinical markers of microbiomes from four body sites in 86 participants over 6 years. We found that microbiome stability and individuality are body-site specific and heavily influenced by the host. The stool and oral microbiome are more stable than the skin and nasal microbiomes, possibly due to their interaction with the host and environment. We identify individual-specific and commonly shared bacterial taxa, with individualized taxa showing greater stability. Interestingly, microbiome dynamics correlate across body sites, suggesting systemic dynamics influenced by host-microbial-environment interactions. Notably, insulin-resistant individuals show altered microbial stability and associations among microbiome, molecular markers, and clinical features, suggesting their disrupted interaction in metabolic disease. Our study offers comprehensive views of multi-site microbial dynamics and their relationship with host health and disease.
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Affiliation(s)
- Xin Zhou
- Department of Genetics, Stanford University School of Medicine, Stanford, CA 94305, USA; Stanford Center for Genomics and Personalized Medicine, Stanford, CA 94305, USA; Stanford Diabetes Research Center, Stanford, CA 94305, USA; The Jackson Laboratory for Genomic Medicine, Farmington, CT 06032, USA
| | - Xiaotao Shen
- Department of Genetics, Stanford University School of Medicine, Stanford, CA 94305, USA; Stanford Center for Genomics and Personalized Medicine, Stanford, CA 94305, USA
| | - Jethro S Johnson
- The Jackson Laboratory for Genomic Medicine, Farmington, CT 06032, USA; Oxford Centre for Microbiome Studies, Kennedy Institute of Rheumatology, University of Oxford, Roosevelt Drive, Headington, Oxford OX3 7FY, UK
| | - Daniel J Spakowicz
- The Jackson Laboratory for Genomic Medicine, Farmington, CT 06032, USA; Division of Medical Oncology, Ohio State University Wexner Medical Center, James Cancer Hospital and Solove Research Institute, Columbus, OH 43210, USA
| | | | - Wenyu Zhou
- Department of Genetics, Stanford University School of Medicine, Stanford, CA 94305, USA; Stanford Center for Genomics and Personalized Medicine, Stanford, CA 94305, USA
| | - Monica Avina
- Department of Genetics, Stanford University School of Medicine, Stanford, CA 94305, USA
| | - Alexander Honkala
- Department of Genetics, Stanford University School of Medicine, Stanford, CA 94305, USA; Stanford Healthcare Innovation Labs, Stanford University School of Medicine, Stanford, CA 94305, USA; Department of Biomedical Engineering, Oregon Health & Science University, Portland, OR 97239, USA
| | - Faye Chleilat
- Department of Genetics, Stanford University School of Medicine, Stanford, CA 94305, USA
| | - Shirley Jingyi Chen
- Stanford Healthcare Innovation Labs, Stanford University School of Medicine, Stanford, CA 94305, USA
| | - Kexin Cha
- Stanford Healthcare Innovation Labs, Stanford University School of Medicine, Stanford, CA 94305, USA
| | - Shana Leopold
- The Jackson Laboratory for Genomic Medicine, Farmington, CT 06032, USA; Department of Immunobiology, Yale University School of Medicine, New Haven, CT 06520, USA
| | - Chenchen Zhu
- Department of Genetics, Stanford University School of Medicine, Stanford, CA 94305, USA
| | - Lei Chen
- The Jackson Laboratory for Genomic Medicine, Farmington, CT 06032, USA; Shanghai Institute of Immunology, Shanghai Jiao Tong University, Shanghai 200240, PRC
| | - Lin Lyu
- Shanghai Institute of Immunology, Shanghai Jiao Tong University, Shanghai 200240, PRC
| | - Daniel Hornburg
- Department of Genetics, Stanford University School of Medicine, Stanford, CA 94305, USA
| | - Si Wu
- Department of Genetics, Stanford University School of Medicine, Stanford, CA 94305, USA
| | - Xinyue Zhang
- Department of Genetics, Stanford University School of Medicine, Stanford, CA 94305, USA
| | - Chao Jiang
- Department of Genetics, Stanford University School of Medicine, Stanford, CA 94305, USA; Life Sciences Institute, Zhejiang University, Hangzhou, Zhejiang 310058, PRC
| | - Liuyiqi Jiang
- Life Sciences Institute, Zhejiang University, Hangzhou, Zhejiang 310058, PRC
| | - Lihua Jiang
- Department of Genetics, Stanford University School of Medicine, Stanford, CA 94305, USA
| | - Ruiqi Jian
- Department of Genetics, Stanford University School of Medicine, Stanford, CA 94305, USA
| | - Andrew W Brooks
- Department of Genetics, Stanford University School of Medicine, Stanford, CA 94305, USA
| | - Meng Wang
- Department of Genetics, Stanford University School of Medicine, Stanford, CA 94305, USA
| | - Kévin Contrepois
- Department of Genetics, Stanford University School of Medicine, Stanford, CA 94305, USA
| | - Peng Gao
- Department of Genetics, Stanford University School of Medicine, Stanford, CA 94305, USA
| | | | | | - Hoan Nguyen
- The Jackson Laboratory for Genomic Medicine, Farmington, CT 06032, USA
| | - Alessandra Celli
- Department of Genetics, Stanford University School of Medicine, Stanford, CA 94305, USA
| | - Bo-Young Hong
- The Jackson Laboratory for Genomic Medicine, Farmington, CT 06032, USA; Woody L Hunt School of Dental Medicine, Texas Tech University Health Science Center, El Paso, TX 79905, USA
| | - Eddy J Bautista
- The Jackson Laboratory for Genomic Medicine, Farmington, CT 06032, USA; Corporación Colombiana de Investigación Agropecuaria (Agrosavia), Headquarters-Mosquera, Cundinamarca 250047, Colombia
| | - Yair Dorsett
- The Jackson Laboratory for Genomic Medicine, Farmington, CT 06032, USA; Department of Medicine, University of Connecticut Health Center, Farmington, CT 06032, USA
| | - Paula B Kavathas
- Department of Immunobiology, Yale University School of Medicine, New Haven, CT 06520, USA; Department of Laboratory Medicine, Yale University School of Medicine, New Haven, CT 06520, USA
| | - Yanjiao Zhou
- The Jackson Laboratory for Genomic Medicine, Farmington, CT 06032, USA; Department of Medicine, University of Connecticut Health Center, Farmington, CT 06032, USA
| | - Erica Sodergren
- The Jackson Laboratory for Genomic Medicine, Farmington, CT 06032, USA
| | | | - Michael P Snyder
- Department of Genetics, Stanford University School of Medicine, Stanford, CA 94305, USA; Stanford Center for Genomics and Personalized Medicine, Stanford, CA 94305, USA; Stanford Diabetes Research Center, Stanford, CA 94305, USA; Stanford Healthcare Innovation Labs, Stanford University School of Medicine, Stanford, CA 94305, USA.
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28
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Aljarrah D, Chalour N, Zorgani A, Nissan T, Pranjol MZI. Exploring the gut microbiota and its potential as a biomarker in gliomas. Biomed Pharmacother 2024; 173:116420. [PMID: 38471271 DOI: 10.1016/j.biopha.2024.116420] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/27/2023] [Revised: 02/24/2024] [Accepted: 03/07/2024] [Indexed: 03/14/2024] Open
Abstract
Gut microbiome alterations are associated with various cancers including brain tumours such as glioma and glioblastoma. The gut communicates with the brain via a bidirectional pathway known as the gut-brain axis (GBA) which is essential for maintaining homeostasis. The gut microbiota produces many metabolites including short chain fatty acids (SCFAs) and essential amino acids such as glutamate, glutamine, arginine and tryptophan. Through the modulation of these metabolites the gut microbiome is able to regulate several functions of brain cells, immune cells and tumour cells including DNA methylation, mitochondrial function, the aryl hydrocarbon receptor (AhR), T-cell proliferation, autophagy and even apoptosis. Here, we summarise current findings on gut microbiome with respect to brain cancers, an area of research that is widely overlooked. Several studies investigated the relationship between gut microbiota and brain tumours. However, it remains unclear whether the gut microbiome variation is a cause or product of cancer. Subsequently, a biomarker panel was constructed for use as a predictive, prognostic and diagnostic tool with respect to multiple cancers including glioma and glioblastoma multiforme (GBM). This review further presents the intratumoural microbiome, a fascinating microenvironment within the tumour as a possible treatment target that can be manipulated to maximise effectiveness of treatment via personalised therapy. Studies utilising the microbiome as a biomarker and therapeutic strategy are necessary to accurately assess the effectiveness of the gut microbiome as a clinical tool with respect to brain cancers.
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Affiliation(s)
- Dana Aljarrah
- Department of Chemistry, School of Life Sciences, University of Sussex, Brighton, UK.
| | - Naima Chalour
- Cognitive and Behavioural Neuroscience laboratory, Houari Boumediene University of Science and Technology, Bab Ezzouar, Algiers, Algeria; Faculty of Biological Sciences, Houari Boumediene University of Science and Technology, Bab Ezzouar, Algiers, Algeria.
| | - Amine Zorgani
- The Microbiome Mavericks, 60 rue Christian Lacouture, Bron 69500, France.
| | - Tracy Nissan
- Department of Molecular Biosciences, the Wenner-Gren Institute, Stockholm University, Stockholm, Sweden.
| | - Md Zahidul I Pranjol
- Department of Chemistry, School of Life Sciences, University of Sussex, Brighton, UK.
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29
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McFall-Ngai M. Symbiosis takes a front and center role in biology. PLoS Biol 2024; 22:e3002571. [PMID: 38578728 PMCID: PMC10997088 DOI: 10.1371/journal.pbio.3002571] [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] [Indexed: 04/07/2024] Open
Abstract
All animals and plants likely require interactions with microbes, often in strong, persistent symbiotic associations. While the recognition of this phenomenon has been slow in coming, it will impact most, if not all, subdisciplines of biology.
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Affiliation(s)
- Margaret McFall-Ngai
- Biosphere Sciences and Engineering, Carnegie Institution for Science, and Biology and Biological Engineering, California Institute of Technology, Pasadena, California, United States of America
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30
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Zhong J, Osborn T, Del Rosario Hernández T, Kyrysyuk O, Tully BJ, Anderson RE. Increasing transposase abundance with ocean depth correlates with a particle-associated lifestyle. mSystems 2024; 9:e0006724. [PMID: 38380923 PMCID: PMC10949469 DOI: 10.1128/msystems.00067-24] [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: 01/15/2024] [Accepted: 01/25/2024] [Indexed: 02/22/2024] Open
Abstract
Transposases are mobile genetic elements that move within and between genomes, promoting genomic plasticity in microorganisms. In marine microbial communities, the abundance of transposases increases with depth, but the reasons behind this trend remain unclear. Our analysis of metagenomes from the Tara Oceans and Malaspina Expeditions suggests that a particle-associated lifestyle is the main covariate for the high occurrence of transposases in the deep ocean, and this trend holds true for individual genomes as well as in a community-wide sense. We observed a strong and depth-independent correlation between transposase abundance and the presence of biofilm-associated genes, as well as the prevalence of secretory enzymes. This suggests that mobile genetic elements readily propagate among microbial communities within crowded biofilms. Furthermore, we show that particle association positively correlates with larger genome size, which is in turn associated with higher transposase abundance. Cassette sequences associated with transposons are enriched with genes related to defense mechanisms, which are more highly expressed in the deep sea. Thus, while transposons spread at the expense of their microbial hosts, they also introduce novel genes and potentially benefit the hosts in helping to compete for limited resources. Overall, our results suggest a new understanding of deep ocean particles as highways for gene sharing among defensively oriented microbial genomes.IMPORTANCEGenes can move within and between microbial genomes via mobile genetic elements, which include transposases and transposons. In the oceans, there is a puzzling increase in transposase abundance in microbial genomes as depth increases. To gain insight into this trend, we conducted an extensive analysis of marine microbial metagenomes and metatranscriptomes. We found a significant correlation between transposase abundance and a particle-associated lifestyle among marine microbes at both the metagenome and genome-resolved levels. We also observed a link between transposase abundance and genes related to defense mechanisms. These results suggest that as microbes become densely packed into crowded particles, mobile genes are more likely to spread and carry genetic material that provides a competitive advantage in crowded habitats. This may enable deep sea microbes to effectively compete in such environments.
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Affiliation(s)
- Juntao Zhong
- Carleton College, Northfield, Minnesota, USA
- Department of Medicine, Washington University in St. Louis, St. Louis, Missouri, USA
| | - Troy Osborn
- Carleton College, Northfield, Minnesota, USA
| | - Thais Del Rosario Hernández
- Carleton College, Northfield, Minnesota, USA
- Department of Molecular Biology, Cell Biology and Biochemistry, Brown University, Providence, Rhode Island, USA
| | - Oleksandr Kyrysyuk
- Carleton College, Northfield, Minnesota, USA
- Yale School of Medicine, Yale University, New Haven, Connecticut, USA
| | - Benjamin J. Tully
- Marine & Environmental Biology, Department of Biological Sciences, University of Southern California, Los Angeles, California, USA
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31
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González A, Fullaondo A, Odriozola A. Impact of evolution on lifestyle in microbiome. ADVANCES IN GENETICS 2024; 111:149-198. [PMID: 38908899 DOI: 10.1016/bs.adgen.2024.02.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/24/2024]
Abstract
This chapter analyses the interaction between microbiota and humans from an evolutionary point of view. Long-term interactions between gut microbiota and host have been generated as a result of dietary choices through coevolutionary processes, where mutuality of advantage is essential. Likewise, the characteristics of the intestinal environment have made it possible to describe different intrahost evolutionary mechanisms affecting microbiota. For its part, the intestinal microbiota has been of great importance in the evolution of mammals, allowing the diversification of dietary niches, phenotypic plasticity and the selection of host phenotypes. Although the origin of the human intestinal microbial community is still not known with certainty, mother-offspring transmission plays a key role, and it seems that transmissibility between individuals in adulthood also has important implications. Finally, it should be noted that certain aspects inherent to modern lifestyle, including refined diets, antibiotic intake, exposure to air pollutants, microplastics, and stress, could negatively affect the diversity and composition of our gut microbiota. This chapter aims to combine current knowledge to provide a comprehensive view of the interaction between microbiota and humans throughout evolution.
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Affiliation(s)
- Adriana González
- Department of Genetics, Physical Anthropology and Animal Physiology, University of the Basque Country (UPV/EHU), Leioa, Spain.
| | - Asier Fullaondo
- Department of Genetics, Physical Anthropology and Animal Physiology, University of the Basque Country (UPV/EHU), Leioa, Spain
| | - Adrián Odriozola
- Department of Genetics, Physical Anthropology and Animal Physiology, University of the Basque Country (UPV/EHU), Leioa, Spain
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32
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Chen Q, Wu C, Xu J, Ye C, Chen X, Tian H, Zong N, Zhang S, Li L, Gao Y, Zhao D, Lv X, Yang Q, Wang L, Cui J, Lin Z, Lu J, Yang R, Yin F, Qin N, Li N, Xu Q, Qin H. Donor-recipient intermicrobial interactions impact transfer of subspecies and fecal microbiota transplantation outcome. Cell Host Microbe 2024; 32:349-365.e4. [PMID: 38367621 DOI: 10.1016/j.chom.2024.01.013] [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: 09/19/2023] [Revised: 12/08/2023] [Accepted: 01/25/2024] [Indexed: 02/19/2024]
Abstract
Studies on fecal microbiota transplantation (FMT) have reported inconsistent connections between clinical outcomes and donor strain engraftment. Analyses of subspecies-level crosstalk and its influences on lineage transfer in metagenomic FMT datasets have proved challenging, as single-nucleotide polymorphisms (SNPs) are generally not linked and are often absent. Here, we utilized species genome bin (SGB), which employs co-abundance binning, to investigate subspecies-level microbiome dynamics in patients with autism spectrum disorder (ASD) who had gastrointestinal comorbidities and underwent encapsulated FMT (Chinese Clinical Trial: 2100043906). We found that interactions between donor and recipient microbes, which were overwhelmingly phylogenetically divergent, were important for subspecies transfer and positive clinical outcomes. Additionally, a donor-recipient SGB match was indicative of a high likelihood of strain transfer. Importantly, these ecodynamics were shared across FMT datasets encompassing multiple diseases. Collectively, these findings provide detailed insight into specific microbial interactions and dynamics that determine FMT success.
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Affiliation(s)
- Qiyi Chen
- Department of Colorectal Disease, Intestinal Microenvironment Treatment Center, Shanghai Tenth People's Hospital, Tongji University School of Medicine, Shanghai 200072, China; Institute of Gut Microbiota Research and Engineering Development, Shanghai Tenth People's Hospital, Tongji University School of Medicine, Shanghai 200072, China
| | - Chunyan Wu
- Institute of Gut Microbiota Research and Engineering Development, Shanghai Tenth People's Hospital, Tongji University School of Medicine, Shanghai 200072, China; Realbio Genomics Institute, Shanghai 200050, China
| | - Jinfeng Xu
- Institute of Gut Microbiota Research and Engineering Development, Shanghai Tenth People's Hospital, Tongji University School of Medicine, Shanghai 200072, China
| | - Chen Ye
- Department of Colorectal Disease, Intestinal Microenvironment Treatment Center, Shanghai Tenth People's Hospital, Tongji University School of Medicine, Shanghai 200072, China
| | - Xiang Chen
- Realbio Genomics Institute, Shanghai 200050, China
| | - Hongliang Tian
- Department of Colorectal Disease, Intestinal Microenvironment Treatment Center, Shanghai Tenth People's Hospital, Tongji University School of Medicine, Shanghai 200072, China
| | - Naixin Zong
- Institute of Gut Microbiota Research and Engineering Development, Shanghai Tenth People's Hospital, Tongji University School of Medicine, Shanghai 200072, China
| | - Shaoyi Zhang
- Department of Medicine, University of California San Francisco, San Francisco, CA, USA
| | - Long Li
- Department of Colorectal Disease, Intestinal Microenvironment Treatment Center, Shanghai Tenth People's Hospital, Tongji University School of Medicine, Shanghai 200072, China
| | - Yuan Gao
- Institute of Gut Microbiota Research and Engineering Development, Shanghai Tenth People's Hospital, Tongji University School of Medicine, Shanghai 200072, China
| | - Di Zhao
- Department of Colorectal Disease, Intestinal Microenvironment Treatment Center, Shanghai Tenth People's Hospital, Tongji University School of Medicine, Shanghai 200072, China
| | - Xiaoqiong Lv
- Department of Colorectal Disease, Intestinal Microenvironment Treatment Center, Shanghai Tenth People's Hospital, Tongji University School of Medicine, Shanghai 200072, China
| | - Qilin Yang
- Institute of Intestinal Diseases, Department of General Surgery, Shanghai Tenth People's Hospital, Tongji University School of Medicine, Shanghai 200072, China
| | - Le Wang
- Department of Colorectal Disease, Intestinal Microenvironment Treatment Center, Shanghai Tenth People's Hospital, Tongji University School of Medicine, Shanghai 200072, China
| | - Jiaqu Cui
- Department of Colorectal Disease, Intestinal Microenvironment Treatment Center, Shanghai Tenth People's Hospital, Tongji University School of Medicine, Shanghai 200072, China
| | - Zhiliang Lin
- Department of Colorectal Disease, Intestinal Microenvironment Treatment Center, Shanghai Tenth People's Hospital, Tongji University School of Medicine, Shanghai 200072, China
| | - Jubao Lu
- Department of Colorectal Disease, Intestinal Microenvironment Treatment Center, Shanghai Tenth People's Hospital, Tongji University School of Medicine, Shanghai 200072, China
| | - Rong Yang
- Department of Pediatrics, Shanghai Tenth People's Hospital, Tongji University School of Medicine, Shanghai 200072, China
| | - Fang Yin
- Institute of Gut Microbiota Research and Engineering Development, Shanghai Tenth People's Hospital, Tongji University School of Medicine, Shanghai 200072, China
| | - Nan Qin
- Institute of Gut Microbiota Research and Engineering Development, Shanghai Tenth People's Hospital, Tongji University School of Medicine, Shanghai 200072, China; Realbio Genomics Institute, Shanghai 200050, China
| | - Ning Li
- Department of Colorectal Disease, Intestinal Microenvironment Treatment Center, Shanghai Tenth People's Hospital, Tongji University School of Medicine, Shanghai 200072, China.
| | - Qian Xu
- Institute of Gut Microbiota Research and Engineering Development, Shanghai Tenth People's Hospital, Tongji University School of Medicine, Shanghai 200072, China; Institute of Intestinal Diseases, Department of General Surgery, Shanghai Tenth People's Hospital, Tongji University School of Medicine, Shanghai 200072, China.
| | - Huanlong Qin
- Department of Colorectal Disease, Intestinal Microenvironment Treatment Center, Shanghai Tenth People's Hospital, Tongji University School of Medicine, Shanghai 200072, China; Institute of Gut Microbiota Research and Engineering Development, Shanghai Tenth People's Hospital, Tongji University School of Medicine, Shanghai 200072, China; Institute of Intestinal Diseases, Department of General Surgery, Shanghai Tenth People's Hospital, Tongji University School of Medicine, Shanghai 200072, China.
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Kirsch JM, Hryckowian AJ, Duerkop BA. A metagenomics pipeline reveals insertion sequence-driven evolution of the microbiota. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2023.10.06.561241. [PMID: 37873088 PMCID: PMC10592638 DOI: 10.1101/2023.10.06.561241] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/25/2023]
Abstract
Insertion sequence (IS) elements are mobile genetic elements in bacterial genomes that support adaptation. We developed a database of IS elements coupled to a computational pipeline that identifies IS element insertions in the microbiota. We discovered that diverse IS elements insert into the genomes of intestinal bacteria regardless of human host lifestyle. These insertions target bacterial accessory genes that aid in their adaptation to unique environmental conditions. Using IS expansion in Bacteroides, we show that IS activity leads to insertion "hot spots" in accessory genes. We show that IS insertions are stable and can be transferred between humans. Extreme environmental perturbations force IS elements to fall out of the microbiota and many fail to rebound following homeostasis. Our work shows that IS elements drive bacterial genome diversification within the microbiota and establishes a framework for understanding how strain level variation within the microbiota impacts human health.
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Affiliation(s)
- Joshua M. Kirsch
- Department of Immunology and Microbiology, University of Colorado - Anschutz Medical Campus, School of Medicine, Aurora, Colorado, 80045, USA
| | - Andrew J. Hryckowian
- Department of Medicine, Division of Gastroenterology and Hepatology, University of Wisconsin School of Medicine and Public Health, Madison, Wisconsin, 53706, USA
- Department of Medical Microbiology & Immunology, University of Wisconsin School of Medicine and Public Health, Madison, Wisconsin, 53706, USA
| | - Breck A. Duerkop
- Department of Immunology and Microbiology, University of Colorado - Anschutz Medical Campus, School of Medicine, Aurora, Colorado, 80045, USA
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Luan T, Cepeda V, Liu B, Bowen Z, Ayyangar U, Almeida M, Hill CM, Koren S, Treangen TJ, Porter A, Pop M. MetaCompass: Reference-guided Assembly of Metagenomes. ARXIV 2024:arXiv:2403.01578v1. [PMID: 38903742 PMCID: PMC11188144] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Subscribe] [Scholar Register] [Indexed: 06/22/2024]
Abstract
Metagenomic studies have primarily relied on de novo assembly for reconstructing genes and genomes from microbial mixtures. While reference-guided approaches have been employed in the assembly of single organisms, they have not been used in a metagenomic context. Here we describe the first effective approach for reference-guided metagenomic assembly that can complement and improve upon de novo metagenomic assembly methods for certain organisms. Such approaches will be increasingly useful as more genomes are sequenced and made publicly available.
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Affiliation(s)
- Tu Luan
- Department of Computer Science, University of Maryland, College Park, Maryland, USA
- Center for Bioinformatics and Computational Biology, University of Maryland, College Park, Maryland, USA
| | - Victoria Cepeda
- Department of Computer Science, University of Maryland, College Park, Maryland, USA
- Center for Bioinformatics and Computational Biology, University of Maryland, College Park, Maryland, USA
| | - Bo Liu
- Department of Computer Science, University of Maryland, College Park, Maryland, USA
- Center for Bioinformatics and Computational Biology, University of Maryland, College Park, Maryland, USA
| | - Zac Bowen
- Fraunhofer USA Center Mid-Atlantic, Riverdale, Maryland, USA
| | - Ujjwal Ayyangar
- Fraunhofer USA Center Mid-Atlantic, Riverdale, Maryland, USA
| | - Mathieu Almeida
- Center for Bioinformatics and Computational Biology, University of Maryland, College Park, Maryland, USA
| | - Christopher M. Hill
- Department of Computer Science, University of Maryland, College Park, Maryland, USA
- Center for Bioinformatics and Computational Biology, University of Maryland, College Park, Maryland, USA
| | - Sergey Koren
- Genome Informatics Section, Computational and Statistical Genomics Branch, National Human Genome Research Institute, Bethesda, Maryland, USA
| | - Todd J. Treangen
- Center for Bioinformatics and Computational Biology, University of Maryland, College Park, Maryland, USA
| | - Adam Porter
- Department of Computer Science, University of Maryland, College Park, Maryland, USA
| | - Mihai Pop
- Department of Computer Science, University of Maryland, College Park, Maryland, USA
- Center for Bioinformatics and Computational Biology, University of Maryland, College Park, Maryland, USA
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Zhong ZP, Du J, Köstlbacher S, Pjevac P, Orlić S, Sullivan MB. Viral potential to modulate microbial methane metabolism varies by habitat. Nat Commun 2024; 15:1857. [PMID: 38424049 PMCID: PMC10904782 DOI: 10.1038/s41467-024-46109-x] [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: 07/17/2023] [Accepted: 02/06/2024] [Indexed: 03/02/2024] Open
Abstract
Methane is a potent greenhouse gas contributing to global warming. Microorganisms largely drive the biogeochemical cycling of methane, yet little is known about viral contributions to methane metabolism (MM). We analyzed 982 publicly available metagenomes from host-associated and environmental habitats containing microbial MM genes, expanding the known MM auxiliary metabolic genes (AMGs) from three to 24, including seven genes exclusive to MM pathways. These AMGs are recovered on 911 viral contigs predicted to infect 14 prokaryotic phyla including Halobacteriota, Methanobacteriota, and Thermoproteota. Of those 24, most were encoded by viruses from rumen (16/24), with substantially fewer by viruses from environmental habitats (0-7/24). To search for additional MM AMGs from an environmental habitat, we generate metagenomes from methane-rich sediments in Vrana Lake, Croatia. Therein, we find diverse viral communities, with most viruses predicted to infect methanogens and methanotrophs and some encoding 13 AMGs that can modulate host metabolisms. However, none of these AMGs directly participate in MM pathways. Together these findings suggest that the extent to which viruses use AMGs to modulate host metabolic processes (e.g., MM) varies depending on the ecological properties of the habitat in which they dwell and is not always predictable by habitat biogeochemical properties.
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Affiliation(s)
- Zhi-Ping Zhong
- Byrd Polar and Climate Research Center, Ohio State University, Columbus, OH, USA
- Department of Microbiology, Ohio State University, Columbus, OH, USA
- Center of Microbiome Science, Ohio State University, Columbus, OH, USA
| | - Jingjie Du
- Department of Microbiology, Ohio State University, Columbus, OH, USA
- Division of Nutritional Science, Cornell University, Ithaca, NY, USA
| | - Stephan Köstlbacher
- Division of Microbial Ecology, Department of Microbiology and Ecosystem Science, Centre for Microbiology and Environmental Systems Science, University of Vienna, Vienna, Austria
- Doctoral School in Microbiology and Environmental Science, University of Vienna, Vienna, Austria
- Laboratory of Microbiology, Wageningen University and Research, Wageningen, the Netherlands
| | - Petra Pjevac
- Division of Microbial Ecology, Department of Microbiology and Ecosystem Science, Centre for Microbiology and Environmental Systems Science, University of Vienna, Vienna, Austria
- Joint Microbiome Facility of the Medical University of Vienna and the University of Vienna, Vienna, Austria
| | - Sandi Orlić
- Division of Materials Chemistry, Ruđer Bošković Institute, Zagreb, Croatia.
- Center of Excellence for Science and Technology-Integration of Mediterranean Region, Zagreb, Croatia.
| | - Matthew B Sullivan
- Byrd Polar and Climate Research Center, Ohio State University, Columbus, OH, USA.
- Department of Microbiology, Ohio State University, Columbus, OH, USA.
- Center of Microbiome Science, Ohio State University, Columbus, OH, USA.
- Department of Civil, Environmental and Geodetic Engineering, Ohio State University, Columbus, OH, USA.
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36
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Zhou X, Shen X, Johnson JS, Spakowicz DJ, Agnello M, Zhou W, Avina M, Honkala A, Chleilat F, Chen SJ, Cha K, Leopold S, Zhu C, Chen L, Lyu L, Hornburg D, Wu S, Zhang X, Jiang C, Jiang L, Jiang L, Jian R, Brooks AW, Wang M, Contrepois K, Gao P, Schüssler-Fiorenza Rose SM, Binh Tran TD, Nguyen H, Celli A, Hong BY, Bautista EJ, Dorsett Y, Kavathas P, Zhou Y, Sodergren E, Weinstock GM, Snyder MP. Longitudinal profiling of the microbiome at four body sites reveals core stability and individualized dynamics during health and disease. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.02.01.577565. [PMID: 38352363 PMCID: PMC10862915 DOI: 10.1101/2024.02.01.577565] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 03/26/2024]
Abstract
To understand dynamic interplay between the human microbiome and host during health and disease, we analyzed the microbial composition, temporal dynamics, and associations with host multi-omics, immune and clinical markers of microbiomes from four body sites in 86 participants over six years. We found that microbiome stability and individuality are body-site-specific and heavily influenced by the host. The stool and oral microbiome were more stable than the skin and nasal microbiomes, possibly due to their interaction with the host and environment. Also, we identified individual-specific and commonly shared bacterial taxa, with individualized taxa showing greater stability. Interestingly, microbiome dynamics correlated across body sites, suggesting systemic coordination influenced by host-microbial-environment interactions. Notably, insulin-resistant individuals showed altered microbial stability and associations between microbiome, molecular markers, and clinical features, suggesting their disrupted interaction in metabolic disease. Our study offers comprehensive views of multi-site microbial dynamics and their relationship with host health and disease. Study Highlights The stability of the human microbiome varies among individuals and body sites.Highly individualized microbial genera are more stable over time.At each of the four body sites, systematic interactions between the environment, the host and bacteria can be detected.Individuals with insulin resistance have lower microbiome stability, a more diversified skin microbiome, and significantly altered host-microbiome interactions.
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Lou YC, Chen L, Borges AL, West-Roberts J, Firek BA, Morowitz MJ, Banfield JF. Infant gut DNA bacteriophage strain persistence during the first 3 years of life. Cell Host Microbe 2024; 32:35-47.e6. [PMID: 38096814 PMCID: PMC11156429 DOI: 10.1016/j.chom.2023.11.015] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/08/2023] [Revised: 10/27/2023] [Accepted: 11/16/2023] [Indexed: 01/13/2024]
Abstract
Bacteriophages are key components of gut microbiomes, yet the phage colonization process in the infant gut remains uncertain. Here, we establish a large phage sequence database and use strain-resolved analyses to investigate DNA phage succession in infants throughout the first 3 years of life. Analysis of 819 fecal metagenomes collected from 28 full-term and 24 preterm infants and their mothers revealed that early-life phageome richness increases over time and reaches adult-like complexity by age 3. Approximately 9% of early phage colonizers, which are mostly maternally transmitted and infect Bacteroides, persist for 3 years and are more prevalent in full-term than in preterm infants. Although rare, phages with stop codon reassignment are more likely to persist than non-recoded phages and generally display an increase in in-frame reassigned stop codons over 3 years. Overall, maternal seeding, stop codon reassignment, host CRISPR-Cas locus prevalence, and diverse phage populations contribute to stable viral colonization.
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Affiliation(s)
- Yue Clare Lou
- Department of Plant and Microbial Biology, University of California, Berkeley, Berkeley, CA 94720, USA; Innovative Genomics Institute, University of California, Berkeley, Berkeley, CA 94720, USA
| | - LinXing Chen
- Innovative Genomics Institute, University of California, Berkeley, Berkeley, CA 94720, USA; Department of Earth and Planetary Science, University of California, Berkeley, Berkeley, CA 94709, USA
| | - Adair L Borges
- Innovative Genomics Institute, University of California, Berkeley, Berkeley, CA 94720, USA
| | - Jacob West-Roberts
- Department of Environmental Science, Policy, and Management, University of California, Berkeley, Berkeley, CA 94720, USA
| | - Brian A Firek
- Department of Surgery, University of Pittsburgh School of Medicine, Pittsburgh, PA 15213, USA
| | - Michael J Morowitz
- Department of Surgery, University of Pittsburgh School of Medicine, Pittsburgh, PA 15213, USA
| | - Jillian F Banfield
- Innovative Genomics Institute, University of California, Berkeley, Berkeley, CA 94720, USA; Department of Environmental Science, Policy, and Management, University of California, Berkeley, Berkeley, CA 94720, USA.
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38
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Dong Q, Hua D, Wang X, Jiao Y, Liu L, Deng Q, Wu T, Zou H, Zhao C, Wang C, Reng J, Ding L, Hu S, Shi J, Wang Y, Zhang H, Sheng Y, Sun W, Shen Y, Tang L, Kong X, Chen L. Temporal colonization and metabolic regulation of the gut microbiome in neonatal oxen at single nucleotide resolution. THE ISME JOURNAL 2024; 18:wrad022. [PMID: 38365257 PMCID: PMC10833086 DOI: 10.1093/ismejo/wrad022] [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: 09/22/2023] [Revised: 10/19/2023] [Accepted: 12/06/2023] [Indexed: 02/18/2024]
Abstract
The colonization of microbes in the gut is key to establishing a healthy host-microbiome symbiosis for newborns. We longitudinally profiled the gut microbiome in a model consisting of 36 neonatal oxen from birth up to 2 months postpartum and carried out microbial transplantation to reshape their gut microbiome. Genomic reconstruction of deeply sequenced fecal samples resulted in a total of 3931 metagenomic-assembled genomes from 472 representative species, of which 184 were identified as new species when compared with existing databases of oxen. Single nucleotide level metagenomic profiling shows a rapid influx of microbes after birth, followed by dynamic shifts during the first few weeks of life. Microbial transplantation was found to reshape the genetic makeup of 33 metagenomic-assembled genomes (FDR < 0.05), mainly from Prevotella and Bacteroides species. We further linked over 20 million microbial single nucleotide variations to 736 plasma metabolites, which enabled us to characterize 24 study-wide significant associations (P < 4.4 × 10-9) that identify the potential microbial genetic regulation of host immune and neuro-related metabolites, including glutathione and L-dopa. Our integration analyses further revealed that microbial genetic variations may influence the health status and growth performance by modulating metabolites via structural regulation of their encoded proteins. For instance, we found that the albumin levels and total antioxidant capacity were correlated with L-dopa, which was determined by single nucleotide variations via structural regulations of metabolic enzymes. The current results indicate that temporal colonization and transplantation-driven strain replacement are crucial for newborn gut development, offering insights for enhancing newborn health and growth.
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Affiliation(s)
- Quanbin Dong
- Department of Cardiology, The First Affiliated Hospital of Nanjing Medical University, Nanjing Medical University, Nanjing 210029, China
| | - Dongxu Hua
- Department of Cardiology, The First Affiliated Hospital of Nanjing Medical University, Nanjing Medical University, Nanjing 210029, China
| | - Xiuchao Wang
- Department of Cardiology, The First Affiliated Hospital of Nanjing Medical University, Nanjing Medical University, Nanjing 210029, China
- Changzhou Medical Center, The Affiliated Changzhou No.2 People's Hospital of Nanjing Medical University, Nanjing Medical University, Changzhou 213164, China
| | - Yuwen Jiao
- Changzhou Medical Center, The Affiliated Changzhou No.2 People's Hospital of Nanjing Medical University, Nanjing Medical University, Changzhou 213164, China
| | - Lu Liu
- Department of Cardiology, The First Affiliated Hospital of Nanjing Medical University, Nanjing Medical University, Nanjing 210029, China
| | - Qiufeng Deng
- Department of Cardiology, The First Affiliated Hospital of Nanjing Medical University, Nanjing Medical University, Nanjing 210029, China
| | - Tingting Wu
- Department of Cardiology, The First Affiliated Hospital of Nanjing Medical University, Nanjing Medical University, Nanjing 210029, China
| | - Huayiyang Zou
- Department of Cardiology, The First Affiliated Hospital of Nanjing Medical University, Nanjing Medical University, Nanjing 210029, China
| | - Chen Zhao
- Department of Cardiology, The First Affiliated Hospital of Nanjing Medical University, Nanjing Medical University, Nanjing 210029, China
| | - Chengkun Wang
- Department of Cardiology, The First Affiliated Hospital of Nanjing Medical University, Nanjing Medical University, Nanjing 210029, China
| | - Jiafa Reng
- Department of Cardiology, The First Affiliated Hospital of Nanjing Medical University, Nanjing Medical University, Nanjing 210029, China
| | - Luoyang Ding
- College of Animal Science and Technology, Yangzhou University, Yangzhou 225009, China
| | - Shixian Hu
- Institute of Precision Medicine, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou 510080, China
| | - Jing Shi
- Department of Cardiology, The First Affiliated Hospital of Nanjing Medical University, Nanjing Medical University, Nanjing 210029, China
| | - Yifeng Wang
- Cardiovascular Research Center, The Affiliated Suzhou Hospital of Nanjing Medical University, Gusu School, Nanjing Medical University, Suzhou Municipal Hospital, Suzhou 215006, China
| | - Haifeng Zhang
- Cardiovascular Research Center, The Affiliated Suzhou Hospital of Nanjing Medical University, Gusu School, Nanjing Medical University, Suzhou Municipal Hospital, Suzhou 215006, China
| | - Yanhui Sheng
- Cardiovascular Research Center, The Affiliated Suzhou Hospital of Nanjing Medical University, Gusu School, Nanjing Medical University, Suzhou Municipal Hospital, Suzhou 215006, China
| | - Wei Sun
- Department of Cardiology, The First Affiliated Hospital of Nanjing Medical University, Nanjing Medical University, Nanjing 210029, China
| | - Yizhao Shen
- College of Animal Science and Technology, Hebei Agricultural University, Baoding 071000, China
| | - Liming Tang
- Changzhou Medical Center, The Affiliated Changzhou No.2 People's Hospital of Nanjing Medical University, Nanjing Medical University, Changzhou 213164, China
| | - Xiangqing Kong
- Department of Cardiology, The First Affiliated Hospital of Nanjing Medical University, Nanjing Medical University, Nanjing 210029, China
- Cardiovascular Research Center, The Affiliated Suzhou Hospital of Nanjing Medical University, Gusu School, Nanjing Medical University, Suzhou Municipal Hospital, Suzhou 215006, China
| | - Lianmin Chen
- Department of Cardiology, The First Affiliated Hospital of Nanjing Medical University, Nanjing Medical University, Nanjing 210029, China
- Changzhou Medical Center, The Affiliated Changzhou No.2 People's Hospital of Nanjing Medical University, Nanjing Medical University, Changzhou 213164, China
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Wang X, Feng X. Challenges in estimating effective population sizes from metagenome-assembled genomes. Front Microbiol 2024; 14:1331583. [PMID: 38249456 PMCID: PMC10797056 DOI: 10.3389/fmicb.2023.1331583] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/01/2023] [Accepted: 12/15/2023] [Indexed: 01/23/2024] Open
Abstract
Effective population size (Ne) plays a critical role in shaping the relative efficiency between natural selection and genetic drift, thereby serving as a cornerstone for understanding microbial ecological dynamics. Direct Ne estimation relies on neutral genetic diversity within closely related genomes, which is, however, often constrained by the culturing difficulties for the vast majority of prokaryotic lineages. Metagenome-assembled genomes (MAGs) offer a high-throughput alternative for genomic data acquisition, yet their accuracy in Ne estimation has not been fully verified. This study examines the Thermococcus genus, comprising 66 isolated strains and 29 MAGs, to evaluate the reliability of MAGs in Ne estimation. Despite the even distribution across the Thermococcus phylogeny and the comparable internal average nucleotide identity (ANI) between isolate populations and MAG populations, our results reveal consistently lower Ne estimates from MAG populations. This trend of underestimation is also observed in various MAG populations across three other bacterial genera. The underrepresentation of genetic variation in MAGs, including loss of allele frequency data and variable genomic segments, likely contributes to the underestimation of Ne. Our findings underscore the necessity for caution when employing MAGs for evolutionary studies, which often depend on high-quality genome assemblies and nucleotide-level diversity.
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Affiliation(s)
- Xiaojun Wang
- Shenzhen Research Institute of the Chinese University of Hong Kong, Shenzhen, China
| | - Xiaoyuan Feng
- Shenzhen Research Institute of the Chinese University of Hong Kong, Shenzhen, China
- State Key Laboratory of Lake Science and Environment, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing, China
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40
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Patel N, Dinesh S, Sharma S. From Gut to Glucose: A Comprehensive Review on Functional Foods and Dietary Interventions for Diabetes Management. Curr Diabetes Rev 2024; 20:e111023222081. [PMID: 37861021 DOI: 10.2174/0115733998266653231005072450] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/10/2023] [Revised: 07/17/2023] [Accepted: 08/25/2023] [Indexed: 10/21/2023]
Abstract
BACKGROUND In the realm of diabetes research, considerable attention has been directed toward elucidating the intricate interplay between the gastrointestinal tract and glucose regulation. The gastrointestinal tract, once exclusively considered for its role in digestion and nutrient assimilation, is presently acknowledged as a multifaceted ecosystem with regulatory supremacy over metabolic homeostasis and glucose metabolism. Recent studies indicate that alterations in the composition and functionality of the gut microbiota could potentially influence the regulation of glucose levels and glucose homeostasis in the body. Dysbiosis, characterized by perturbations in the equilibrium of gut microbial constituents, has been irrevocably linked to an augmented risk of diabetes mellitus (DM). Moreover, research has revealed the potential influence of the gut microbiota on important factors, like inflammation and insulin sensitivity, which are key contributors to the onset and progression of diabetes. The key protagonists implicated in the regulation of glucose encompass the gut bacteria, gut barrier integrity, and the gut-brain axis. A viable approach to enhance glycemic control while concurrently mitigating the burden of comorbidities associated with diabetes resides in the strategic manipulation of the gut environment through adapted dietary practices. OBJECTIVE This review aimed to provide a deep understanding of the complex relationship between gut health, glucose metabolism, and diabetes treatment. CONCLUSION This study has presented an exhaustive overview of dietary therapies and functional foods that have undergone extensive research to explore their potential advantages in the management of diabetes. It looks into the role of gut health in glucose regulation, discusses the impact of different dietary elements on the course of diabetes, and evaluates how well functional foods can help with glycemic control. Furthermore, it investigates the mechanistic aspects of these therapies, including their influence on insulin sensitivity, β-cell activity, and inflammation. It deliberates on the limitations and potential prospects associated with integrating functional foods into personalized approaches to diabetes care.
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Affiliation(s)
- Nirali Patel
- Department of Bioinformatics, BioNome, Bengaluru 560043, India
| | - Susha Dinesh
- Department of Bioinformatics, BioNome, Bengaluru 560043, India
| | - Sameer Sharma
- Department of Bioinformatics, BioNome, Bengaluru 560043, India
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41
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Dapa T, Xavier KB. Effect of diet on the evolution of gut commensal bacteria. Gut Microbes 2024; 16:2369337. [PMID: 38904092 PMCID: PMC11195494 DOI: 10.1080/19490976.2024.2369337] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/07/2023] [Accepted: 06/12/2024] [Indexed: 06/22/2024] Open
Abstract
The gut microbiota, comprising trillions of diverse microorganisms inhabiting the intestines of animals, forms a complex and indispensable ecosystem with profound implications for the host's well-being. Its functions include contributing to developing the host's immune response, aiding in nutrient digestion, synthesizing essential compounds, acting as a barrier against pathogen invasion, and influencing the development or regression of various pathologies. The dietary habits of the host directly impact this intricate community of gut microbes. Diet influences the composition and function of the gut microbiota through alterations in gene expression, enzymatic activity, and metabolome. While the impact of diet on gut ecology is well-established, the investigation into the relationship between dietary consumption and microbial genotypic diversity has been limited. This review provides an overview of the relationship between diet and gut microbiota, emphasizing the impact of host nutrition on both short- and long-term evolution in the mammalian gut. It is evident that the evolution of the gut microbiota occurs even on short timescales through the acquisition of novel mutations, within the gut bacteria of individual hosts. Consequently, we discuss the importance of considering alterations in bacterial genomic diversity when analyzing microbiota-dependent effects on host physiology. Future investigations into the various microbiota-related traits shall greatly benefit from a deeper understanding of commensal bacterial evolutionary adaptation.
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Affiliation(s)
- Tanja Dapa
- Andalusian Center for Developmental Biology (CABD), Department of Molecular Biology and Biochemical Engineering, Pablo de Olavide University/CSIC/Junta de Andalucía, Seville, Spain
- Instituto Gulbenkian de Ciência, Oeiras, Portugal
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42
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Wolff R, Garud NR. Pervasive selective sweeps across human gut microbiomes. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.12.22.573162. [PMID: 38187688 PMCID: PMC10769429 DOI: 10.1101/2023.12.22.573162] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/09/2024]
Abstract
The human gut microbiome is composed of a highly diverse consortia of species which are continually evolving within and across hosts. The ability to identify adaptations common to many host gut microbiomes would not only reveal shared selection pressures across hosts, but also key drivers of functional differentiation of the microbiome that may affect community structure and host traits. However, to date there has not been a systematic scan for adaptations that have spread across host microbiomes. Here, we develop a novel selection scan statistic, named the integrated linkage disequilibrium score (iLDS), that can detect the spread of adaptive haplotypes across host microbiomes via migration and horizontal gene transfer. Specifically, iLDS leverages signals of hitchhiking of deleterious variants with the beneficial variant, a common feature of adaptive evolution. We find that iLDS is capable of detecting simulated and known cases of selection, and moreover is robust to potential confounders that can also elevate LD. Application of the statistic to ~20 common commensal gut species from a large cohort of healthy, Western adults reveals pervasive spread of selected alleles across human microbiomes mediated by horizontal gene transfer. Among the candidate selective sweeps recovered by iLDS is an enrichment for genes involved in the metabolism of maltodextrin, a synthetic starch that has recently become a widespread component of Western diets. In summary, we demonstrate that selective sweeps across host microbiomes are a common feature of the evolution of the human gut microbiome.
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Affiliation(s)
- Richard Wolff
- Department of Ecology and Evolutionary Biology, UCLA
| | - Nandita R. Garud
- Department of Ecology and Evolutionary Biology, UCLA
- Department of Human Genetics, UCLA
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43
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Trouche B, Schauberger C, Bouderka F, Auguet JC, Belser C, Poulain J, Thamdrup B, Wincker P, Arnaud-Haond S, Glud RN, Maignien L. Distribution and genomic variation of ammonia-oxidizing archaea in abyssal and hadal surface sediments. ISME COMMUNICATIONS 2023; 3:133. [PMID: 38135695 PMCID: PMC10746724 DOI: 10.1038/s43705-023-00341-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/31/2023] [Revised: 11/20/2023] [Accepted: 12/05/2023] [Indexed: 12/24/2023]
Abstract
Ammonia-oxidizing archaea of the phylum Thaumarchaeota play a central role in the biogeochemical cycling of nitrogen in benthic sediments, at the interface between pelagic and subsurface ecosystems. However, our understanding of their niche separation and of the processes controlling their population structure in hadal and abyssal surface sediments is still limited. Here, we reconstructed 47 AOA metagenome-assembled genomes (MAGs) from surface sediments of the Atacama and Kermadec trench systems. They formed deep-sea-specific groups within the family Nitrosopumilaceae and were assigned to six amoA gene-based clades. MAGs from different clades had distinct distribution patterns along oxygen-ammonium counter gradients in surface sediments. At the species level, MAGs thus seemed to form different ecotypes and follow deterministic niche-based distributions. In contrast, intraspecific population structure, defined by patterns of Single Nucleotide Variants (SNV), seemed to reflect more complex contributions of both deterministic and stochastic processes. Firstly, the bathymetric range had a strong effect on population structure, with distinct populations in abyssal plains and hadal trenches. Then, hadal populations were clearly separated by trench system, suggesting a strong isolation-by-topography effect, whereas abyssal populations were rather controlled by sediment depth or geographic distances, depending on the clade considered. Interestingly, genetic variability between samples was lowest in sediment layers where the mean MAG coverage was highest, highlighting the importance of selective pressure linked with each AOA clade's ecological niche. Overall, our results show that deep-sea AOA genome distributions seem to follow both deterministic and stochastic processes, depending on the genomic variability scale considered.
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Affiliation(s)
- Blandine Trouche
- Univ Brest, CNRS, Ifremer, UMR6197 Biologie et Ecologie des Ecosystèmes marins Profonds, F-29280, Plouzané, France.
- Hadal & Nordcee, Department of Biology, University of Southern Denmark, Odense, Denmark.
| | - Clemens Schauberger
- Hadal & Nordcee, Department of Biology, University of Southern Denmark, Odense, Denmark
| | - Feriel Bouderka
- Univ Brest, CNRS, Ifremer, UMR6197 Biologie et Ecologie des Ecosystèmes marins Profonds, F-29280, Plouzané, France
| | | | - Caroline Belser
- Génomique Métabolique, Genoscope, Institut François Jacob, CEA, CNRS, University of Évry, Université Paris-Saclay, 91057, Evry, France
| | - Julie Poulain
- Génomique Métabolique, Genoscope, Institut François Jacob, CEA, CNRS, University of Évry, Université Paris-Saclay, 91057, Evry, France
| | - Bo Thamdrup
- Hadal & Nordcee, Department of Biology, University of Southern Denmark, Odense, Denmark
| | - Patrick Wincker
- Génomique Métabolique, Genoscope, Institut François Jacob, CEA, CNRS, University of Évry, Université Paris-Saclay, 91057, Evry, France
| | | | - Ronnie N Glud
- Hadal & Nordcee, Department of Biology, University of Southern Denmark, Odense, Denmark
- Department of Ocean and Environmental Sciences, Tokyo University of Marine Science and Technology, Tokyo, Japan
- Danish Institute for Advanced Study (DIAS), University of Southern Denmark, Campusvej 55, 5230, Odense, Denmark
| | - Loïs Maignien
- Univ Brest, CNRS, Ifremer, UMR6197 Biologie et Ecologie des Ecosystèmes marins Profonds, F-29280, Plouzané, France.
- Marine Biological Laboratory, Josephine Bay Paul Center for Comparative Molecular Biology and Evolution, Woods Hole, MA, USA.
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44
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Ma C, Zhang Y, Jiang S, Teng F, Huang S, Zhang J. Cross-cohort single-nucleotide-variant profiling of gut microbiota suggests a novel gut-health assessment approach. mSystems 2023; 8:e0082823. [PMID: 37905808 PMCID: PMC10734426 DOI: 10.1128/msystems.00828-23] [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: 08/07/2023] [Accepted: 09/21/2023] [Indexed: 11/02/2023] Open
Abstract
IMPORTANCE Most studies focused much on the change in abundance and often failed to explain the microbiome variation related to disease conditions, Herein, we argue that microbial genetic changes can precede the ecological changes associated with the host physiological changes and, thus, would offer a new information layer from metagenomic data for predictive modeling of diseases. Interestingly, we preliminarily found a few genetic biomarkers on SCFA production can cover most chronic diseases involved in the meta-analysis. In the future, it is of both scientific and clinical significance to further explore the dynamic interactions between adaptive evolution and ecology of gut microbiota associated with host health status.
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Affiliation(s)
- Chenchen Ma
- Key Laboratory of Food Nutrition and Functional Food of Hainan Province, School of Food Science and Engineering, Hainan University, Haikou, China
- School of Medicine, Southern University of Science and Technology, Shenzhen, China
| | - Yufeng Zhang
- Faculty of Dentistry, The University of Hong Kong, Hong Kong SAR, China
| | - Shuaiming Jiang
- Key Laboratory of Food Nutrition and Functional Food of Hainan Province, School of Food Science and Engineering, Hainan University, Haikou, China
| | - Fei Teng
- Qingdao Stomatological Hospital Affiliated to Qingdao University, Qingdao, China
| | - Shi Huang
- Faculty of Dentistry, The University of Hong Kong, Hong Kong SAR, China
| | - Jiachao Zhang
- Key Laboratory of Food Nutrition and Functional Food of Hainan Province, School of Food Science and Engineering, Hainan University, Haikou, China
- One Health Institute, Hainan University, Haikou, Hainan, China
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45
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Liang Y, Dou S, Zhao G, Shen J, Fu G, Fu L, Li S, Cong B, Dong C. Prediction of BMI traits in the Chinese population based on the gut metagenome. Microb Cell Fact 2023; 22:250. [PMID: 38066544 PMCID: PMC10704812 DOI: 10.1186/s12934-023-02255-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/08/2023] [Accepted: 11/20/2023] [Indexed: 12/18/2023] Open
Abstract
BACKGROUND Identifying individual characteristics based on trace evidence left at a crime scene is crucial in forensic identification. Microbial communities found in fecal traces have high individual specificity and could serve as potential markers for forensic characterization. Previous research has established that predicting body type based on the relative abundance of the gut microbiome is relatively accurate. However, the long-term stability and high individual specificity of the gut microbiome are closely linked to changes at the genome level of the microbiome. No studies have been conducted to deduce body shape from genetic traits. Therefore, in this study, the vital role of gut bacterial community characteristics and genetic traits in predicting body mass index (BMI) was investigated using gut metagenomic data from a healthy Chinese population. RESULTS Regarding the gut microbial community, the underweight group displayed increased α-diversity in comparison to the other BMI groups. There were significant differences in the relative abundances of 19 species among these three BMI groups. The BMI prediction model, based on the 31 most significant species, showed a goodness of fit (R2) of 0.56 and a mean absolute error (MAE) of 2.09 kg/m2. The overweight group exhibited significantly higher α-diversity than the other BMI groups at the level of gut microbial genes. Furthermore, there were significant variations observed in the single-nucleotide polymorphism (SNP) density of 732 contigs between these three BMI groups. The BMI prediction model, reliant on the 62 most contributing contigs, exhibited a model R2 of 0.72 and an MAE of 1.56 kg/m2. The model predicting body type from 44 contigs correctly identified the body type of 93.55% of the study participants. CONCLUSION Based on metagenomic data from a healthy Chinese population, we demonstrated the potential of genetic traits of gut bacteria to predict an individual's BMI. The findings of this study suggest the effectiveness of a novel method for determining the body type of suspects in forensic applications using the genetic traits of the gut microbiome and holds great promise for forensic individual identification.
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Affiliation(s)
- Yu Liang
- College of Forensic Medicine, Hebei Key Laboratory of Forensic Medicine, Hebei Medical University, Shijiazhuang, 050017, Hebei, China
| | - Shujie Dou
- College of Forensic Medicine, Hebei Key Laboratory of Forensic Medicine, Hebei Medical University, Shijiazhuang, 050017, Hebei, China
| | - Guangzhong Zhao
- College of Forensic Medicine, Hebei Key Laboratory of Forensic Medicine, Hebei Medical University, Shijiazhuang, 050017, Hebei, China
| | - Jie Shen
- College of Forensic Medicine, Hebei Key Laboratory of Forensic Medicine, Hebei Medical University, Shijiazhuang, 050017, Hebei, China
| | - Guangping Fu
- College of Forensic Medicine, Hebei Key Laboratory of Forensic Medicine, Hebei Medical University, Shijiazhuang, 050017, Hebei, China
| | - Lihong Fu
- College of Forensic Medicine, Hebei Key Laboratory of Forensic Medicine, Hebei Medical University, Shijiazhuang, 050017, Hebei, China
| | - Shujin Li
- College of Forensic Medicine, Hebei Key Laboratory of Forensic Medicine, Hebei Medical University, Shijiazhuang, 050017, Hebei, China
| | - Bin Cong
- College of Forensic Medicine, Hebei Key Laboratory of Forensic Medicine, Hebei Medical University, Shijiazhuang, 050017, Hebei, China
| | - Chunnan Dong
- College of Forensic Medicine, Hebei Key Laboratory of Forensic Medicine, Hebei Medical University, Shijiazhuang, 050017, Hebei, China.
- Department of Pathogen Biology, Hebei Medical University, Shijiazhuang, 050017, Hebei, China.
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46
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Gould AL, Donohoo SA, Román ED, Neff EE. Strain-level diversity of symbiont communities between individuals and populations of a bioluminescent fish. THE ISME JOURNAL 2023; 17:2362-2369. [PMID: 37891426 PMCID: PMC10689835 DOI: 10.1038/s41396-023-01550-6] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/17/2023] [Revised: 10/13/2023] [Accepted: 10/17/2023] [Indexed: 10/29/2023]
Abstract
The bioluminescent symbiosis involving the urchin cardinalfish, Siphamia tubifer, and Photobacterium mandapamensis, a luminous member of the Vibrionaceae, is highly specific compared to other bioluminescent fish-bacteria associations. Despite this high degree of specificity, patterns of genetic diversity have been observed for the symbionts from hosts sampled over relatively small spatial scales. We characterized and compared sub-species, strain-level symbiont diversity within and between S. tubifer hosts sampled from the Philippines and Japan using PCR fingerprinting. We then carried out whole genome sequencing of the unique symbiont genotypes identified to characterize the genetic diversity of the symbiont community and the symbiont pangenome. We determined that an individual light organ contains six symbiont genotypes on average, but varied between 1-13. Additionally, we found that there were few genotypes shared between hosts from the same location. A phylogenetic analysis of the unique symbiont strains indicated location-specific clades, suggesting some genetic differentiation in the symbionts between host populations. We also identified symbiont genes that were variable between strains, including luxF, a member of the lux operon, which is responsible for light production. We quantified the light emission and growth rate of two strains missing luxF along with the other strains isolated from the same light organs and determined that strains lacking luxF were dimmer but grew faster than most of the other strains, suggesting a potential metabolic trade-off. This study highlights the importance of strain-level diversity in microbial associations and provides new insight into the underlying genetic architecture of intraspecific symbiont communities within a host.
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Affiliation(s)
- A L Gould
- Institute for Biodiversity Science and Sustainability, California Academy of Sciences, SanFrancisco, CA, 94121, USA.
| | - S A Donohoo
- Institute for Biodiversity Science and Sustainability, California Academy of Sciences, SanFrancisco, CA, 94121, USA
- School of Fisheries, Aquaculture, and Aquatic Sciences, Auburn University, Auburn, AL, 36849, USA
| | - E D Román
- Institute for Biodiversity Science and Sustainability, California Academy of Sciences, SanFrancisco, CA, 94121, USA
- Department of Biology, Stanford University, Palo Alto, CA, 94305, USA
| | - E E Neff
- Institute for Biodiversity Science and Sustainability, California Academy of Sciences, SanFrancisco, CA, 94121, USA
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47
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Mah JC, Lohmueller KE, Garud N. Inference of the demographic histories and selective effects of human gut commensal microbiota over the course of human history. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.11.09.566454. [PMID: 38014007 PMCID: PMC10680615 DOI: 10.1101/2023.11.09.566454] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/29/2023]
Abstract
Despite the importance of gut commensal microbiota to human health, there is little knowledge about their evolutionary histories, including their population demographic histories and their distributions of fitness effects (DFE) of new mutations. Here, we infer the demographic histories and DFEs of 27 of the most highly prevalent and abundant commensal gut microbial species in North Americans over timescales exceeding human generations using a collection of lineages inferred from a panel of healthy hosts. We find overall reductions in genetic variation among commensal gut microbes sampled from a Western population relative to an African rural population. Additionally, some species in North American microbiomes display contractions in population size and others expansions, potentially occurring at several key historical moments in human history. DFEs across species vary from highly to mildly deleterious, with accessory genes experiencing more drift compared to core genes. Within genera, DFEs tend to be more congruent, reflective of underlying phylogenetic relationships. Taken together, these findings suggest that human commensal gut microbes have distinct evolutionary histories, possibly reflecting the unique roles of individual members of the microbiome.
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48
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Ma B, Lu C, Wang Y, Yu J, Zhao K, Xue R, Ren H, Lv X, Pan R, Zhang J, Zhu Y, Xu J. A genomic catalogue of soil microbiomes boosts mining of biodiversity and genetic resources. Nat Commun 2023; 14:7318. [PMID: 37951952 PMCID: PMC10640626 DOI: 10.1038/s41467-023-43000-z] [Citation(s) in RCA: 9] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2023] [Accepted: 10/27/2023] [Indexed: 11/14/2023] Open
Abstract
Soil harbors a vast expanse of unidentified microbes, termed as microbial dark matter, presenting an untapped reservo)ir of microbial biodiversity and genetic resources, but has yet to be fully explored. In this study, we conduct a large-scale excavation of soil microbial dark matter by reconstructing 40,039 metagenome-assembled genome bins (the SMAG catalogue) from 3304 soil metagenomes. We identify 16,530 of 21,077 species-level genome bins (SGBs) as unknown SGBs (uSGBs), which expand archaeal and bacterial diversity across the tree of life. We also illustrate the pivotal role of uSGBs in augmenting soil microbiome's functional landscape and intra-species genome diversity, providing large proportions of the 43,169 biosynthetic gene clusters and 8545 CRISPR-Cas genes. Additionally, we determine that uSGBs contributed 84.6% of previously unexplored viral-host associations from the SMAG catalogue. The SMAG catalogue provides an useful genomic resource for further studies investigating soil microbial biodiversity and genetic resources.
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Affiliation(s)
- Bin Ma
- Institute of Soil and Water Resources and Environmental Science, College of Environmental and Resource Sciences, Zhejiang University, Hangzhou, 310058, China
- Zhejiang Provincial Key Laboratory of Agricultural Resources and Environment, Zhejiang University, Hangzhou, 310058, China
- ZJU-Hangzhou Global Scientific and Technological Innovation Center, Hangzhou, 311200, China
| | - Caiyu Lu
- Institute of Soil and Water Resources and Environmental Science, College of Environmental and Resource Sciences, Zhejiang University, Hangzhou, 310058, China
- Zhejiang Provincial Key Laboratory of Agricultural Resources and Environment, Zhejiang University, Hangzhou, 310058, China
- ZJU-Hangzhou Global Scientific and Technological Innovation Center, Hangzhou, 311200, China
| | - Yiling Wang
- Institute of Soil and Water Resources and Environmental Science, College of Environmental and Resource Sciences, Zhejiang University, Hangzhou, 310058, China
- Zhejiang Provincial Key Laboratory of Agricultural Resources and Environment, Zhejiang University, Hangzhou, 310058, China
- ZJU-Hangzhou Global Scientific and Technological Innovation Center, Hangzhou, 311200, China
| | - Jingwen Yu
- ZJU-Hangzhou Global Scientific and Technological Innovation Center, Hangzhou, 311200, China
| | - Kankan Zhao
- Institute of Soil and Water Resources and Environmental Science, College of Environmental and Resource Sciences, Zhejiang University, Hangzhou, 310058, China
- Zhejiang Provincial Key Laboratory of Agricultural Resources and Environment, Zhejiang University, Hangzhou, 310058, China
| | - Ran Xue
- ZJU-Hangzhou Global Scientific and Technological Innovation Center, Hangzhou, 311200, China
| | - Hao Ren
- ZJU-Hangzhou Global Scientific and Technological Innovation Center, Hangzhou, 311200, China
| | - Xiaofei Lv
- Department of Environmental Engineering, China Jiliang University, Hangzhou, 310018, China
| | - Ronghui Pan
- ZJU-Hangzhou Global Scientific and Technological Innovation Center, Hangzhou, 311200, China
| | - Jiabao Zhang
- State Key Laboratory of Soil and Sustainable Agriculture, Institute of Soil Science, Chinese Academy of Sciences, Nanjing, 210008, China
| | - Yongguan Zhu
- Research Center for Eco-environmental Sciences, Chinese Academy of Sciences, Beijing, 100085, China
| | - Jianming Xu
- Institute of Soil and Water Resources and Environmental Science, College of Environmental and Resource Sciences, Zhejiang University, Hangzhou, 310058, China.
- Zhejiang Provincial Key Laboratory of Agricultural Resources and Environment, Zhejiang University, Hangzhou, 310058, China.
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Liao F, Xia Y, Gu W, Fu X, Yuan B. Comparative analysis of shotgun metagenomics and 16S rDNA sequencing of gut microbiota in migratory seagulls. PeerJ 2023; 11:e16394. [PMID: 37941936 PMCID: PMC10629391 DOI: 10.7717/peerj.16394] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/15/2023] [Accepted: 10/11/2023] [Indexed: 11/10/2023] Open
Abstract
Background Shotgun metagenomic and 16S rDNA sequencing are commonly used methods to identify the taxonomic composition of microbial communities. Previously, we analysed the gut microbiota and intestinal pathogenic bacteria configuration of migratory seagulls by using 16S rDNA sequencing and culture methods. Methods To continue in-depth research on the gut microbiome and reveal the applicability of the two methods, we compared the metagenome and 16S rDNA amplicon results to further demonstrate the features of this animal. Results The number of bacterial species detected by metagenomics gradually increased from the phylum to species level, consistent with 16S rDNA sequencing. Several taxa were commonly shared by both sequencing methods. However, Escherichia, Shigella, Erwinia, Klebsiella, Salmonella, Escherichia albertii, Shigella sonnei, Salmonella enterica, and Shigella flexneri were unique taxa for the metagenome compared with Escherichia-Shigella, Hafnia-Obesumbacterium, Catellicoccus marimammalium, Lactococcus garvieae, and Streptococcus gallolyticus for 16S rDNA sequencing. The largest differences in relative abundance between the two methods were identified at the species level, which identified many pathogenic bacteria to humans using metagenomic sequencing. Pearson correlation analysis indicated that the correlation coefficient for the two methods gradually decreased with the refinement of the taxonomic levels. The high consistency of the correlation coefficient was identified at the genus level for the beta diversity of the two methods. Conclusions In general, relatively consistent patterns and reliability could be identified by both sequencing methods, but the results varied following the refinement of taxonomic levels. Metagenomic sequencing was more suitable for the discovery and detection of pathogenic bacteria of gut microbiota in seagulls. Although there were large differences in the numbers and abundance of bacterial species of the two methods in terms of taxonomic levels, the patterns and reliability results of the samples were consistent.
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Affiliation(s)
- Feng Liao
- Department of Respiratory Medicine, The First People’s Hospital of Yunnan Province, Kunming, Yunnan, China
- The Affiliated Hospital of Kunming University of Science and Technology, Kunming, Yunnan, China
| | - Yilan Xia
- Department of Infectious Diseases and Hepatology, The First People’s Hospital of Yunnan Province, Kunming, Yunnan, China
| | - Wenpeng Gu
- Department of Acute Infectious Diseases Control and Prevention, Yunnan Provincial Centre for Disease Control and Prevention, Kunming, Yunnan, China
| | - Xiaoqing Fu
- Department of Acute Infectious Diseases Control and Prevention, Yunnan Provincial Centre for Disease Control and Prevention, Kunming, Yunnan, China
| | - Bing Yuan
- Department of Respiratory Medicine, The First People’s Hospital of Yunnan Province, Kunming, Yunnan, China
- The Affiliated Hospital of Kunming University of Science and Technology, Kunming, Yunnan, China
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50
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Zahavi L, Lavon A, Reicher L, Shoer S, Godneva A, Leviatan S, Rein M, Weissbrod O, Weinberger A, Segal E. Bacterial SNPs in the human gut microbiome associate with host BMI. Nat Med 2023; 29:2785-2792. [PMID: 37919437 PMCID: PMC10999242 DOI: 10.1038/s41591-023-02599-8] [Citation(s) in RCA: 8] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/26/2022] [Accepted: 09/19/2023] [Indexed: 11/04/2023]
Abstract
Genome-wide association studies (GWASs) have provided numerous associations between human single-nucleotide polymorphisms (SNPs) and health traits. Likewise, metagenome-wide association studies (MWASs) between bacterial SNPs and human traits can suggest mechanistic links, but very few such studies have been done thus far. In this study, we devised an MWAS framework to detect SNPs and associate them with host phenotypes systematically. We recruited and obtained gut metagenomic samples from a cohort of 7,190 healthy individuals and discovered 1,358 statistically significant associations between a bacterial SNP and host body mass index (BMI), from which we distilled 40 independent associations. Most of these associations were unexplained by diet, medications or physical exercise, and 17 replicated in a geographically independent cohort. We uncovered BMI-associated SNPs in 27 bacterial species, and 12 of them showed no association by standard relative abundance analysis. We revealed a BMI association of an SNP in a potentially inflammatory pathway of Bilophila wadsworthia as well as of a group of SNPs in a region coding for energy metabolism functions in a Faecalibacterium prausnitzii genome. Our results demonstrate the importance of considering nucleotide-level diversity in microbiome studies and pave the way toward improved understanding of interpersonal microbiome differences and their potential health implications.
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Affiliation(s)
- Liron Zahavi
- Department of Computer Science and Applied Mathematics, Weizmann Institute of Science, Rehovot, Israel
- Department of Molecular Cell Biology, Weizmann Institute of Science, Rehovot, Israel
| | - Amit Lavon
- Department of Computer Science and Applied Mathematics, Weizmann Institute of Science, Rehovot, Israel
- Department of Molecular Cell Biology, Weizmann Institute of Science, Rehovot, Israel
| | - Lee Reicher
- Department of Computer Science and Applied Mathematics, Weizmann Institute of Science, Rehovot, Israel
- Department of Molecular Cell Biology, Weizmann Institute of Science, Rehovot, Israel
- Lis Maternity and Women's Hospital, Tel Aviv Sourasky Medical Center, Tel Aviv University (affiliated with Sackler Faculty of Medicine), Tel Aviv, Israel
| | - Saar Shoer
- Department of Computer Science and Applied Mathematics, Weizmann Institute of Science, Rehovot, Israel
- Department of Molecular Cell Biology, Weizmann Institute of Science, Rehovot, Israel
| | - Anastasia Godneva
- Department of Computer Science and Applied Mathematics, Weizmann Institute of Science, Rehovot, Israel
- Department of Molecular Cell Biology, Weizmann Institute of Science, Rehovot, Israel
| | - Sigal Leviatan
- Department of Computer Science and Applied Mathematics, Weizmann Institute of Science, Rehovot, Israel
- Department of Molecular Cell Biology, Weizmann Institute of Science, Rehovot, Israel
| | - Michal Rein
- Department of Computer Science and Applied Mathematics, Weizmann Institute of Science, Rehovot, Israel
- Department of Molecular Cell Biology, Weizmann Institute of Science, Rehovot, Israel
| | | | - Adina Weinberger
- Department of Computer Science and Applied Mathematics, Weizmann Institute of Science, Rehovot, Israel
- Department of Molecular Cell Biology, Weizmann Institute of Science, Rehovot, Israel
| | - Eran Segal
- Department of Computer Science and Applied Mathematics, Weizmann Institute of Science, Rehovot, Israel.
- Department of Molecular Cell Biology, Weizmann Institute of Science, Rehovot, Israel.
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