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Rodriguez J, Hassani Z, Alves Costa Silva C, Betsou F, Carraturo F, Fasano A, Israelsen M, Iyappan A, Krag A, Metwaly A, Schierwagen R, Trebicka J, Zwart H, Doré J, Cordaillat-Simmons M, Druart C. State of the art and the future of microbiome-based biomarkers: a multidisciplinary Delphi consensus. THE LANCET. MICROBE 2024:100948. [PMID: 39243797 DOI: 10.1016/j.lanmic.2024.07.011] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/09/2024] [Revised: 07/07/2024] [Accepted: 07/08/2024] [Indexed: 09/09/2024]
Abstract
Although microbiome signatures have been identified in various contexts (ie, pathogenesis of non-communicable diseases and treatment response), qualified microbiome-based biomarkers are currently not in use in clinical practice. The Human Microbiome Action consortium initiated a Delphi survey to establish a consensus on the needs, challenges, and limitations in developing qualified microbiome-based biomarkers. The questionnaire was developed by a scientific committee via literature review and expert interviews. To ensure broad applicability of the results, 307 experts were invited to participate; 114 of them responded to the first round of the survey, 93 of whom completed the second and final round as well. The survey highlighted the experts' confidence in the potential of microbiome-based biomarkers for several indications or pathologies. The paucity of validated analytical methods appears to be the principal factor hindering the qualification of these biomarkers. The survey also showed that clinical implementation of these biomarkers would only be possible if kitted and validated molecular assays with simple interpretation are developed. This initiative serves as a foundation for designing and implementing public-private collaborative projects to overcome the challenges and promote clinical application of microbiome-based biomarkers.
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Affiliation(s)
| | | | | | - Fay Betsou
- CRBIP, Institut Pasteur, Université Paris-Cité, Paris, France
| | - Federica Carraturo
- European Biomedical Research Institute of Salerno (EBRIS), Salerno, Italy; Department of Biology, University of Naples Federico II, Naples, Italy
| | - Alessio Fasano
- European Biomedical Research Institute of Salerno (EBRIS), Salerno, Italy; Department of Pediatrics, Mucosal Immunology and Biology Research Center, Mass General Brigham, Harvard Medical School, Boston, MA, USA
| | - Mads Israelsen
- Centre for Liver Research, Department of Gastroenterology and Hepatology, Odense University Hospital, Odense, Denmark
| | - Anandhi Iyappan
- European Molecular Biology Laboratory (EMBL), Heidelberg, Germany
| | - Aleksander Krag
- Centre for Liver Research, Department of Gastroenterology and Hepatology, Odense University Hospital, Odense, Denmark; Institute of Clinical Research, University of Southern Denmark, Odense, Denmark
| | - Amira Metwaly
- Chair of Nutrition and Immunology, School of Life Sciences, Technical University of Munich, Freising, Germany
| | - Robert Schierwagen
- European Foundation for the Study of Chronic Liver Failure (EF CLIF), Barcelona, Spain; Department of Internal Medicine B, University of Münster, Münster, Germany
| | - Jonel Trebicka
- European Foundation for the Study of Chronic Liver Failure (EF CLIF), Barcelona, Spain; Department of Internal Medicine B, University of Münster, Münster, Germany
| | - Hub Zwart
- Erasmus School of Philosophy, Erasmus University Rotterdam, Rotterdam, Netherlands
| | - Joel Doré
- Université Paris-Saclay, INRAE, MGP Metagenopolis, Jouy-en-Josas, France; Université Paris-Saclay, INRAE, AgroParisTech, Micalis Institute, Jouy-en-Josas, France
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Hoisington AJ, Stamper CE, Ellis JC, Lowry CA, Brenner LA. Quantifying variation across 16S rRNA gene sequencing runs in human microbiome studies. Appl Microbiol Biotechnol 2024; 108:367. [PMID: 38850297 PMCID: PMC11162379 DOI: 10.1007/s00253-024-13198-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/21/2024] [Revised: 05/15/2024] [Accepted: 05/21/2024] [Indexed: 06/10/2024]
Abstract
Recent microbiome research has incorporated a higher number of samples through more participants in a study, longitudinal studies, and metanalysis between studies. Physical limitations in a sequencing machine can result in samples spread across sequencing runs. Here we present the results of sequencing nearly 1000 16S rRNA gene sequences in fecal (stabilized and swab) and oral (swab) samples from multiple human microbiome studies and positive controls that were conducted with identical standard operating procedures. Sequencing was performed in the same center across 18 different runs. The simplified mock community showed limitations in accuracy, while precision (e.g., technical variation) was robust for the mock community and actual human positive control samples. Technical variation was the lowest for stabilized fecal samples, followed by fecal swab samples, and then oral swab samples. The order of technical variation stability was inverse of DNA concentrations (e.g., highest in stabilized fecal samples), highlighting the importance of DNA concentration in reproducibility and urging caution when analyzing low biomass samples. Coefficients of variation at the genus level also followed the same trend for lower variation with higher DNA concentrations. Technical variation across both sample types and the two human sampling locations was significantly less than the observed biological variation. Overall, this research providing comparisons between technical and biological variation, highlights the importance of using positive controls, and provides semi-quantified data to better understand variation introduced by sequencing runs. KEY POINTS: • Mock community and positive control accuracy were lower than precision. • Samples with lower DNA concentration had increased technical variation across sequencing runs. • Biological variation was significantly higher than technical variation due to sequencing runs.
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Affiliation(s)
- Andrew J Hoisington
- Veterans Health Administration, Rocky Mountain Mental Illness Research Education and Clinical Center (MIRECC) for Veteran Suicide Prevention, Rocky Mountain Regional Veterans Affairs Medical Center (RMRVAMC), Aurora, CO, USA.
- Department of Physical Medicine and Rehabilitation, University of Colorado Anschutz Medical Campus, Aurora, CO, USA.
- Military and Veteran Microbiome: Consortium for Research and Education (MVM-CoRE), Aurora, CO, USA.
- Department of Systems Engineering and Management, Air Force Institute of Technology, Wright-Patterson Air Force Base, Dayton, OH, USA.
| | - Christopher E Stamper
- Veterans Health Administration, Rocky Mountain Mental Illness Research Education and Clinical Center (MIRECC) for Veteran Suicide Prevention, Rocky Mountain Regional Veterans Affairs Medical Center (RMRVAMC), Aurora, CO, USA
- Department of Physical Medicine and Rehabilitation, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
- Military and Veteran Microbiome: Consortium for Research and Education (MVM-CoRE), Aurora, CO, USA
| | | | - Christopher A Lowry
- Veterans Health Administration, Rocky Mountain Mental Illness Research Education and Clinical Center (MIRECC) for Veteran Suicide Prevention, Rocky Mountain Regional Veterans Affairs Medical Center (RMRVAMC), Aurora, CO, USA
- Department of Physical Medicine and Rehabilitation, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
- Military and Veteran Microbiome: Consortium for Research and Education (MVM-CoRE), Aurora, CO, USA
- Department of Integrative Physiology, Center for Neuroscience, and Center for Microbial Exploration, University of Colorado Boulder, Boulder, CO, USA
| | - Lisa A Brenner
- Veterans Health Administration, Rocky Mountain Mental Illness Research Education and Clinical Center (MIRECC) for Veteran Suicide Prevention, Rocky Mountain Regional Veterans Affairs Medical Center (RMRVAMC), Aurora, CO, USA
- Department of Physical Medicine and Rehabilitation, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
- Military and Veteran Microbiome: Consortium for Research and Education (MVM-CoRE), Aurora, CO, USA
- Department of Psychiatry, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
- Department of Neurology, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
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3
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Veenman F, van Dijk A, Arredondo A, Medina-Gomez C, Wolvius E, Rivadeneira F, Àlvarez G, Blanc V, Kragt L. Oral microbiota of adolescents with dental caries: A systematic review. Arch Oral Biol 2024; 161:105933. [PMID: 38447351 DOI: 10.1016/j.archoralbio.2024.105933] [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: 01/16/2024] [Revised: 02/20/2024] [Accepted: 02/20/2024] [Indexed: 03/08/2024]
Abstract
OBJECTIVE This systematic review summarizes the current knowledge on the association between the oral microbiota and dental caries in adolescents. DESIGN An electronic search was carried out across five databases. Studies were included if they conducted research on generally healthy adolescents, applied molecular-based microbiological analyses and assessed caries status. Data extraction was performed by two reviewers and the Newcastle-Ottawa Scale was applied for quality assessment. RESULTS In total, 3935 records were reviewed which resulted in a selection of 20 cross-sectional studies (published 2005-2022) with a sample size ranging from 11 to 614 participants including adolescents between 11 and 19 years. The studies analyzed saliva, dental biofilm or tongue swabs with Checkerboard DNA-DNA hybridization, (q)PCR or Next-Generation Sequencing methods. Prevotella denticola, Scardoviae Wiggsiae, Streptococcus sobrinus and Streptococcus mutans were the most frequently reported species presenting higher abundance in adolescents with caries. The majority of the studies reported that the microbial diversity was similar between participants with and without dental caries. CONCLUSION This systematic review is the first that shows how the oral microbiota composition in adolescents appears to differ between those with and without dental caries, suggesting certain taxa may be associated with increased caries risk. However, there is a need to replicate and expand these findings in larger, longitudinal studies that also focus on caries severity and take adolescent-specific factors into account.
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Affiliation(s)
- Francien Veenman
- Department of Oral and Maxillofacial Surgery, Special Dental Care and Orthodontics, Erasmus MC, University Medical Center Rotterdam, Rotterdam, Netherlands; The Generation R Study Group, Erasmus MC, University Medical Center Rotterdam, Rotterdam, Netherlands.
| | - Anne van Dijk
- Department of Oral and Maxillofacial Surgery, Special Dental Care and Orthodontics, Erasmus MC, University Medical Center Rotterdam, Rotterdam, Netherlands
| | - Alexandre Arredondo
- Department of Microbiology, DENTAID Research Center, Cerdanyola del Vallès, Spain
| | - Carolina Medina-Gomez
- The Generation R Study Group, Erasmus MC, University Medical Center Rotterdam, Rotterdam, Netherlands; Department of Internal Medicine, Erasmus MC, University Medical Center Rotterdam, Rotterdam, Netherlands
| | - Eppo Wolvius
- Department of Oral and Maxillofacial Surgery, Special Dental Care and Orthodontics, Erasmus MC, University Medical Center Rotterdam, Rotterdam, Netherlands; The Generation R Study Group, Erasmus MC, University Medical Center Rotterdam, Rotterdam, Netherlands
| | - Fernando Rivadeneira
- The Generation R Study Group, Erasmus MC, University Medical Center Rotterdam, Rotterdam, Netherlands; Department of Internal Medicine, Erasmus MC, University Medical Center Rotterdam, Rotterdam, Netherlands
| | - Gerard Àlvarez
- Department of Microbiology, DENTAID Research Center, Cerdanyola del Vallès, Spain
| | - Vanessa Blanc
- Department of Microbiology, DENTAID Research Center, Cerdanyola del Vallès, Spain
| | - Lea Kragt
- Department of Oral and Maxillofacial Surgery, Special Dental Care and Orthodontics, Erasmus MC, University Medical Center Rotterdam, Rotterdam, Netherlands; The Generation R Study Group, Erasmus MC, University Medical Center Rotterdam, Rotterdam, Netherlands
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Forry SP, Servetas SL, Kralj JG, Soh K, Hadjithomas M, Cano R, Carlin M, Amorim MGD, Auch B, Bakker MG, Bartelli TF, Bustamante JP, Cassol I, Chalita M, Dias-Neto E, Duca AD, Gohl DM, Kazantseva J, Haruna MT, Menzel P, Moda BS, Neuberger-Castillo L, Nunes DN, Patel IR, Peralta RD, Saliou A, Schwarzer R, Sevilla S, Takenaka IKTM, Wang JR, Knight R, Gevers D, Jackson SA. Variability and bias in microbiome metagenomic sequencing: an interlaboratory study comparing experimental protocols. Sci Rep 2024; 14:9785. [PMID: 38684791 PMCID: PMC11059151 DOI: 10.1038/s41598-024-57981-4] [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: 07/26/2023] [Accepted: 03/24/2024] [Indexed: 05/02/2024] Open
Abstract
Several studies have documented the significant impact of methodological choices in microbiome analyses. The myriad of methodological options available complicate the replication of results and generally limit the comparability of findings between independent studies that use differing techniques and measurement pipelines. Here we describe the Mosaic Standards Challenge (MSC), an international interlaboratory study designed to assess the impact of methodological variables on the results. The MSC did not prescribe methods but rather asked participating labs to analyze 7 shared reference samples (5 × human stool samples and 2 × mock communities) using their standard laboratory methods. To capture the array of methodological variables, each participating lab completed a metadata reporting sheet that included 100 different questions regarding the details of their protocol. The goal of this study was to survey the methodological landscape for microbiome metagenomic sequencing (MGS) analyses and the impact of methodological decisions on metagenomic sequencing results. A total of 44 labs participated in the MSC by submitting results (16S or WGS) along with accompanying metadata; thirty 16S rRNA gene amplicon datasets and 14 WGS datasets were collected. The inclusion of two types of reference materials (human stool and mock communities) enabled analysis of both MGS measurement variability between different protocols using the biologically-relevant stool samples, and MGS bias with respect to ground truth values using the DNA mixtures. Owing to the compositional nature of MGS measurements, analyses were conducted on the ratio of Firmicutes: Bacteroidetes allowing us to directly apply common statistical methods. The resulting analysis demonstrated that protocol choices have significant effects, including both bias of the MGS measurement associated with a particular methodological choices, as well as effects on measurement robustness as observed through the spread of results between labs making similar methodological choices. In the analysis of the DNA mock communities, MGS measurement bias was observed even when there was general consensus among the participating laboratories. This study was the result of a collaborative effort that included academic, commercial, and government labs. In addition to highlighting the impact of different methodological decisions on MGS result comparability, this work also provides insights for consideration in future microbiome measurement study design.
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Affiliation(s)
- Samuel P Forry
- Complex Microbial Systems Group, National Institute of Standards and Technology (NIST), Gaithersburg, MD, USA.
| | - Stephanie L Servetas
- Complex Microbial Systems Group, National Institute of Standards and Technology (NIST), Gaithersburg, MD, USA
| | - Jason G Kralj
- Complex Microbial Systems Group, National Institute of Standards and Technology (NIST), Gaithersburg, MD, USA
| | - Keng Soh
- Novo Nordisk, Copenhagen, Denmark
| | - Michalis Hadjithomas
- LifeMine Therapeutics, Cambridge Discovery Park, 30 Acorn Park Drive, Cambridge, MA, 02140, USA
| | - Raul Cano
- The BioCollective, LLC, 5650 Washington Street, Suite C9, Denver, CO, 80216, USA
| | - Martha Carlin
- The BioCollective, LLC, 5650 Washington Street, Suite C9, Denver, CO, 80216, USA
| | - Maria G de Amorim
- Laboratory of Medical Genomics, A. C. Camargo Cancer Center, Sao Paulo, SP, 01508-010, Brazil
| | - Benjamin Auch
- University of Minnesota Genomics Center, Minneapolis, MN, 55455, USA
| | - Matthew G Bakker
- Department of Microbiology, University of Manitoba, Winnipeg, MB, R3T 2N2, Canada
| | - Thais F Bartelli
- Laboratory of Medical Genomics, A. C. Camargo Cancer Center, Sao Paulo, SP, 01508-010, Brazil
| | - Juan P Bustamante
- Laboratorio de Investigación, Desarrollo y Transferencia de la Facultad de Ingeniería de la Universidad Austral (LIDTUA), CIC-Austral, Pilar, Argentina
- Instituto de Investigación y Desarrollo en Bioingeniería y Bioinformática (IBB), CONICET-UNER, Oro Verde, Argentina
- Facultad de Ingeniería, Universidad Nacional de Entre Ríos, Concepción del Uruguay, Argentina
| | - Ignacio Cassol
- Laboratorio de Investigación, Desarrollo y Transferencia de la Facultad de Ingeniería de la Universidad Austral (LIDTUA), CIC-Austral, Pilar, Argentina
| | | | - Emmanuel Dias-Neto
- Laboratory of Medical Genomics, A. C. Camargo Cancer Center, Sao Paulo, SP, 01508-010, Brazil
| | | | - Daryl M Gohl
- University of Minnesota Genomics Center, Minneapolis, MN, 55455, USA
- Department of Genetics, Cell Biology, and Development, University of Minnesota, Minneapolis, MN, 55455, USA
| | - Jekaterina Kazantseva
- Center of Food and Fermentation Technologies (TFTAK), Mäealuse 2/4, 12618, Tallinn, Estonia
| | - Muyideen T Haruna
- Bioenvironmental Program, Morgan State University, Baltimore, MD, USA
| | - Peter Menzel
- Labor Berlin Charité Vivantes GmbH, Sylter Str. 2, 13353, Berlin, Germany
| | - Bruno S Moda
- Laboratory of Medical Genomics, A. C. Camargo Cancer Center, Sao Paulo, SP, 01508-010, Brazil
- Laboratory of Computational Biology and Bioinformatics, A.C. Camargo Cancer Center, Sao Paulo, SP, 01508-010, Brazil
| | | | - Diana N Nunes
- Laboratory of Medical Genomics, A. C. Camargo Cancer Center, Sao Paulo, SP, 01508-010, Brazil
| | - Isha R Patel
- Center for Food Safety and Applied Nutrition, Office of Applied Research and Safety Assessment, U. S. Food and Drug Administration, Laurel, MD, 20708, USA
| | - Rodrigo D Peralta
- Laboratorio de Investigación, Desarrollo y Transferencia de la Facultad de Ingeniería de la Universidad Austral (LIDTUA), CIC-Austral, Pilar, Argentina
- Facultad de Ingeniería, Universidad Nacional de Entre Ríos, Concepción del Uruguay, Argentina
| | - Adrien Saliou
- OMICS Hub, BIOASTER, Microbiology Research Institute, Lyon, France
| | - Rolf Schwarzer
- Labor Berlin Charité Vivantes GmbH, Sylter Str. 2, 13353, Berlin, Germany
| | - Samantha Sevilla
- Center for Cancer Research, CCR Collaborative Bioinformatics Resource, National Cancer Institute, National Institutes of Health, Bethesda, MD, 20892, USA
- Advanced Biomedical Computational Sciences, Frederick National Laboratory for Cancer Research, Leidos Biomedical Research, Inc., Frederick, MD, 21701, USA
| | - Isabella K T M Takenaka
- Laboratory of Medical Genomics, A. C. Camargo Cancer Center, Sao Paulo, SP, 01508-010, Brazil
| | - Jeremy R Wang
- Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC, 27599, USA
| | - Rob Knight
- Departments of Pediatrics, Bioengineering and Computer Science & Engineering, and Center for Microbiome Innovation, University of California at San Diego, 9500 Gilman Drive, MC 0763, La Jolla, CA, 92093-0763, USA
| | - Dirk Gevers
- Seed Health, 2100 Abbot Kinney Blvd, Venice, CA, 90291-7003, USA
| | - Scott A Jackson
- Complex Microbial Systems Group, National Institute of Standards and Technology (NIST), Gaithersburg, MD, USA
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Condon E, Grecco S, Marandino A, Aldaz J, Enciso J, Alfaro L, Bucafusco D, Pérez R, Panzera Y. Development of an accurate and rapid method for whole genome characterization of canine parvovirus. J Virol Methods 2024; 325:114870. [PMID: 38086433 DOI: 10.1016/j.jviromet.2023.114870] [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: 09/11/2023] [Revised: 12/04/2023] [Accepted: 12/08/2023] [Indexed: 01/25/2024]
Abstract
Canine parvovirus is a highly contagious pathogen affecting domestic dogs and other carnivores globally. Monitoring CPV through continuous genomic surveillance is crucial for mapping variability and developing effective control measures. Here, we developed a method using multiplex-PCR-next-generation sequencing to obtain full-length CPV genomes directly from clinical samples. This approach utilizes tiling and tailed amplicons to amplify overlapping fragments of roughly 250 base pairs. This enables the creation of Illumina libraries by conducting two PCR reaction runs. We tested the assay in 10 fecal samples from dogs diagnosed with CPV and one CPV-2 vaccine strain. Furthermore, we applied it to a feline sample previously diagnosed with the feline panleukopenia virus. The assay provided 100 % genome coverage and high sequencing depth across all 12 samples. It successfully provided the sequence of the coding regions and the left and right non-translated regions, including tandem and terminal repeats. The assay effectively amplified viral variants from divergent evolutionary groups, including the antigenic variants (2a, 2b, and 2c) and the ancestral CPV-2 strain included in vaccine formulations. Moreover, it successfully amplified the entire genome of the feline panleukopenia virus found in cat feces. This method is cost-effective, time-efficient, and does not require lab expertise in Illumina library preparation. The multiplex-PCR-next-generation methodology facilitates large-scale genomic sequencing, expanding the limited number of complete genomes currently available in databases and enabling real-time genomic surveillance. Furthermore, the method helps identify and track emerging CPV viral variants, facilitating molecular epidemiology and control. Adopting this approach can enhance our understanding of the evolution and genetic diversity of Protoparvovirus carnivoran1.
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Affiliation(s)
- Emma Condon
- Sección Genética Evolutiva, Departamento de Biología Animal, Instituto de Biología, Facultad de Ciencias, Universidad de la República, Iguá 4225, 11400 Montevideo, Uruguay
| | - Sofía Grecco
- Sección Genética Evolutiva, Departamento de Biología Animal, Instituto de Biología, Facultad de Ciencias, Universidad de la República, Iguá 4225, 11400 Montevideo, Uruguay
| | - Ana Marandino
- Sección Genética Evolutiva, Departamento de Biología Animal, Instituto de Biología, Facultad de Ciencias, Universidad de la República, Iguá 4225, 11400 Montevideo, Uruguay
| | - Jaime Aldaz
- Escuela de Medicina Veterinaria y Zootecnia, Facultad de Ciencias Agropecuarias, Universidad Estatal de Bolívar, Av. Ernesto Che Guevara s/n, Guaranda, Ecuador
| | - Javier Enciso
- Universidad Científica del Sur, Lima, Perú and Clínica Veterinaria Enciso, Peru
| | - Luis Alfaro
- Universidad Científica del Sur, Lima, Perú and Clínica Veterinaria Enciso, Peru
| | - Danilo Bucafusco
- Cátedra de Virología, Facultad de Ciencias Veterinarias, Universidad de Buenos Aires, Argentina
| | - Ruben Pérez
- Sección Genética Evolutiva, Departamento de Biología Animal, Instituto de Biología, Facultad de Ciencias, Universidad de la República, Iguá 4225, 11400 Montevideo, Uruguay
| | - Yanina Panzera
- Sección Genética Evolutiva, Departamento de Biología Animal, Instituto de Biología, Facultad de Ciencias, Universidad de la República, Iguá 4225, 11400 Montevideo, Uruguay.
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Erhardt R, Steels E, Harnett JE, Taing MW, Steadman KJ. Effects of a prebiotic formulation on the composition of the faecal microbiota of people with functional constipation. Eur J Nutr 2024; 63:777-784. [PMID: 38165420 DOI: 10.1007/s00394-023-03292-9] [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: 10/10/2023] [Accepted: 11/28/2023] [Indexed: 01/03/2024]
Abstract
PURPOSE Prebiotics are defined as substances which selectively promote beneficial gut microbes leading to a health benefit for the host. Limited trials have been carried out investigating their effect on the microbiota composition of individuals afflicted by functional constipation with equivocal outcomes. In a 21-day randomised, controlled clinical trial involving 61 adults with functional constipation, a prebiotic formulation with partially hydrolysed guar gum and acacia gum as its main ingredients, significantly increased complete spontaneous bowel motions in the treatment group. This follow-up exploratory analysis investigated whether the prebiotic was associated with changes to the composition, richness, and diversity of the faecal microbiota. METHODS Participants provided a faecal specimen at baseline and on day 21 of the intervention period. Whole genome metagenomic shotgun sequencing comprehensively assessed taxonomic and functional composition of the microbiota. RESULTS Linear mixed effects regression models adjusted for potential confounders showed a significant reduction in species richness of 28.15 species (95% CI - 49.86, - 6.43) and Shannon diversity of 0.29 units (95% CI - 0.56, - 0.02) over the trial period in the prebiotic group. These changes were not observed in the control group, and functional composition was unchanged in both groups. CONCLUSION In adults with functional constipation, the intake of a prebiotic formulation was associated with a decline of species richness and Shannon diversity. Further research regarding the associations between prebiotics and the composition and function of the gut microbiota is warranted.
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Affiliation(s)
- Rene Erhardt
- School of Pharmacy, The University of Queensland, Brisbane, Australia.
- School of Pharmacy, The University of Queensland, 20 Cornwall Street , Woolloongabba, QLD, 4102, Australia.
| | - Elizabeth Steels
- School of Pharmacy, The University of Queensland, Brisbane, Australia
- Evidence Sciences Pty. Ltd., New Farm, Australia
| | | | - Meng-Wong Taing
- School of Pharmacy, The University of Queensland, Brisbane, Australia
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7
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Ganesan SM, Peter TK, Withanage MHH, Boksa F, Zeng E, Martinez A, Dabdoub SM, Dhingra K, Hernandez-Kapila Y. COVID-19 associated oral and oropharyngeal microbiome: Systematic review and meta-analysis. Periodontol 2000 2024; 94:603-626. [PMID: 37277934 DOI: 10.1111/prd.12489] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/16/2023] [Accepted: 04/01/2023] [Indexed: 06/07/2023]
Abstract
Three years into the coronavirus disease 2019 (COVID-19) pandemic, there are still growing concerns with the emergence of different variants, unknown long- and short-term effects of the virus, and potential biological mechanisms underlying etiopathogenesis and increased risk for morbidity and mortality. The role of the microbiome in human physiology and the initiation and progression of several oral and systemic diseases have been actively studied in the past decade. With the proof of viral transmission, carriage, and a potential role in etiopathogenesis, saliva and the oral environment have been a focus of COVID-19 research beyond diagnostic purposes. The oral environment hosts diverse microbial communities and contributes to human oral and systemic health. Several investigations have identified disruptions in the oral microbiome in COVID-19 patients. However, all these studies are cross-sectional in nature and present heterogeneity in study design, techniques, and analysis. Therefore, in this undertaking, we (a) systematically reviewed the current literature associating COVID-19 with changes in the microbiome; (b) performed a re-analysis of publicly available data as a means to standardize the analysis, and (c) reported alterations in the microbial characteristics in COVID-19 patients compared to negative controls. Overall, we identified that COVID-19 is associated with oral microbial dysbiosis with significant reduction in diversity. However, alterations in specific bacterial members differed across the study. Re-analysis from our pipeline shed light on Neisseria as the potential key microbial member associated with COVID-19.
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Affiliation(s)
- Sukirth M Ganesan
- Department of Periodontics, The University of Iowa College of Dentistry and Dental Clinics, Iowa, USA
- Iowa Institute for Oral Health Research, The University of Iowa College of Dentistry and Dental Clinics, Iowa City, Iowa, USA
| | - Tabitha K Peter
- Division of Biostatistics and Computational Biology, The University of Iowa College of Dentistry and Dental Clinics, Iowa City, Iowa, USA
| | - Miyuraj H H Withanage
- Division of Biostatistics and Computational Biology, The University of Iowa College of Dentistry and Dental Clinics, Iowa City, Iowa, USA
| | - Frank Boksa
- Department of Periodontics, The University of Iowa College of Dentistry and Dental Clinics, Iowa, USA
| | - Erliang Zeng
- Iowa Institute for Oral Health Research, The University of Iowa College of Dentistry and Dental Clinics, Iowa City, Iowa, USA
- Division of Biostatistics and Computational Biology, The University of Iowa College of Dentistry and Dental Clinics, Iowa City, Iowa, USA
- Department of Preventive and Community Dentistry, The University of Iowa College of Dentistry and Dental Clinics, Iowa City, Iowa, USA
| | - April Martinez
- Division of Periodontology, University of California at San Francisco School of Dentistry, San Francisco, California, USA
| | - Shareef M Dabdoub
- Department of Periodontics, The University of Iowa College of Dentistry and Dental Clinics, Iowa, USA
- Iowa Institute for Oral Health Research, The University of Iowa College of Dentistry and Dental Clinics, Iowa City, Iowa, USA
- Division of Biostatistics and Computational Biology, The University of Iowa College of Dentistry and Dental Clinics, Iowa City, Iowa, USA
| | - Kunaal Dhingra
- Periodontology Division, Centre for Dental Education and Research, All India Institute of Medical Sciences, New Delhi, India
| | - Yvonne Hernandez-Kapila
- Section of Biosystems and Function Periodontics, University of California at Los Angeles School of Dentistry, Los Angeles, California, USA
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8
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Zulfiqar M, Singh V, Steinbeck C, Sorokina M. Review on computer-assisted biosynthetic capacities elucidation to assess metabolic interactions and communication within microbial communities. Crit Rev Microbiol 2024:1-40. [PMID: 38270170 DOI: 10.1080/1040841x.2024.2306465] [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: 03/13/2023] [Accepted: 01/12/2024] [Indexed: 01/26/2024]
Abstract
Microbial communities thrive through interactions and communication, which are challenging to study as most microorganisms are not cultivable. To address this challenge, researchers focus on the extracellular space where communication events occur. Exometabolomics and interactome analysis provide insights into the molecules involved in communication and the dynamics of their interactions. Advances in sequencing technologies and computational methods enable the reconstruction of taxonomic and functional profiles of microbial communities using high-throughput multi-omics data. Network-based approaches, including community flux balance analysis, aim to model molecular interactions within and between communities. Despite these advances, challenges remain in computer-assisted biosynthetic capacities elucidation, requiring continued innovation and collaboration among diverse scientists. This review provides insights into the current state and future directions of computer-assisted biosynthetic capacities elucidation in studying microbial communities.
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Affiliation(s)
- Mahnoor Zulfiqar
- Institute for Inorganic and Analytical Chemistry, Friedrich Schiller University, Jena, Germany
- Cluster of Excellence Balance of the Microverse, Friedrich Schiller University Jena, Jena, Germany
| | - Vinay Singh
- Institute for Inorganic and Analytical Chemistry, Friedrich Schiller University, Jena, Germany
| | - Christoph Steinbeck
- Institute for Inorganic and Analytical Chemistry, Friedrich Schiller University, Jena, Germany
- Cluster of Excellence Balance of the Microverse, Friedrich Schiller University Jena, Jena, Germany
| | - Maria Sorokina
- Institute for Inorganic and Analytical Chemistry, Friedrich Schiller University, Jena, Germany
- Data Science and Artificial Intelligence, Research and Development, Pharmaceuticals, Bayer, Berlin, Germany
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9
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Valencia EM, Maki KA, Dootz JN, Barb JJ. Mock community taxonomic classification performance of publicly available shotgun metagenomics pipelines. Sci Data 2024; 11:81. [PMID: 38233447 PMCID: PMC10794705 DOI: 10.1038/s41597-023-02877-7] [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: 05/26/2023] [Accepted: 12/22/2023] [Indexed: 01/19/2024] Open
Abstract
Shotgun metagenomic sequencing comprehensively samples the DNA of a microbial sample. Choosing the best bioinformatics processing package can be daunting due to the wide variety of tools available. Here, we assessed publicly available shotgun metagenomics processing packages/pipelines including bioBakery, Just a Microbiology System (JAMS), Whole metaGenome Sequence Assembly V2 (WGSA2), and Woltka using 19 publicly available mock community samples and a set of five constructed pathogenic gut microbiome samples. Also included is a workflow for labelling bacterial scientific names with NCBI taxonomy identifiers for better resolution in assessing results. The Aitchison distance, a sensitivity metric, and total False Positive Relative Abundance were used for accuracy assessments for all pipelines and mock samples. Overall, bioBakery4 performed the best with most of the accuracy metrics, while JAMS and WGSA2, had the highest sensitivities. Furthermore, bioBakery is commonly used and only requires a basic knowledge of command line usage. This work provides an unbiased assessment of shotgun metagenomics packages and presents results assessing the performance of the packages using mock community sequence data.
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Affiliation(s)
- E Michael Valencia
- Translational Biobehavioral and Health Disparities Branch, National Institutes of Health Clinical Center, Bethesda, MD, 20814, USA
| | - Katherine A Maki
- Translational Biobehavioral and Health Disparities Branch, National Institutes of Health Clinical Center, Bethesda, MD, 20814, USA
| | - Jennifer N Dootz
- Biosystems and Biomaterials Division, National Institute of Standards and Technology, Gaithersburg, MD, 20899, USA
| | - Jennifer J Barb
- Translational Biobehavioral and Health Disparities Branch, National Institutes of Health Clinical Center, Bethesda, MD, 20814, USA.
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10
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McGuinness AJ, Stinson LF, Snelson M, Loughman A, Stringer A, Hannan AJ, Cowan CSM, Jama HA, Caparros-Martin JA, West ML, Wardill HR. From hype to hope: Considerations in conducting robust microbiome science. Brain Behav Immun 2024; 115:120-130. [PMID: 37806533 DOI: 10.1016/j.bbi.2023.09.022] [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: 04/20/2023] [Revised: 08/14/2023] [Accepted: 09/30/2023] [Indexed: 10/10/2023] Open
Abstract
Microbiome science has been one of the most exciting and rapidly evolving research fields in the past two decades. Breakthroughs in technologies including DNA sequencing have meant that the trillions of microbes (particularly bacteria) inhabiting human biological niches (particularly the gut) can be profiled and analysed in exquisite detail. This microbiome profiling has profound impacts across many fields of research, especially biomedical science, with implications for how we understand and ultimately treat a wide range of human disorders. However, like many great scientific frontiers in human history, the pioneering nature of microbiome research comes with a multitude of challenges and potential pitfalls. These include the reproducibility and robustness of microbiome science, especially in its applications to human health outcomes. In this article, we address the enormous promise of microbiome science and its many challenges, proposing constructive solutions to enhance the reproducibility and robustness of research in this nascent field. The optimisation of microbiome science spans research design, implementation and analysis, and we discuss specific aspects such as the importance of ecological principals and functionality, challenges with microbiome-modulating therapies and the consideration of confounding, alternative options for microbiome sequencing, and the potential of machine learning and computational science to advance the field. The power of microbiome science promises to revolutionise our understanding of many diseases and provide new approaches to prevention, early diagnosis, and treatment.
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Affiliation(s)
- Amelia J McGuinness
- Deakin University, Geelong, Australia, the Institute for Mental and Physical Health and Clinical Translation (IMPACT), School of Medicine and Barwon Health, Geelong, Australia
| | - Lisa F Stinson
- School of Molecular Sciences, The University of Western Australia, Perth, WA, Australia
| | - Matthew Snelson
- Hypertension Research Laboratory, School of Biological Sciences, Faculty of Science, Monash University, Clayton, VIC, Australia.
| | - Amy Loughman
- Deakin University, Geelong, Australia, the Institute for Mental and Physical Health and Clinical Translation (IMPACT), School of Medicine and Barwon Health, Geelong, Australia
| | - Andrea Stringer
- Clinical and Health Sciences, University of South Australia, Adelaide, South Australia, Australia
| | - Anthony J Hannan
- The Florey Institute of Neuroscience and Mental Health, University of Melbourne, Parkville, Australia
| | | | - Hamdi A Jama
- Hypertension Research Laboratory, School of Biological Sciences, Faculty of Science, Monash University, Clayton, VIC, Australia
| | | | - Madeline L West
- Deakin University, Geelong, Australia, the Institute for Mental and Physical Health and Clinical Translation (IMPACT), School of Medicine and Barwon Health, Geelong, Australia
| | - Hannah R Wardill
- Supportive Oncology Research Group, Precision Medicine (Cancer), South Australian Health and Medical Research Institute (SAHMRI), University of Adelaide, Adelaide, South Australia, Australia
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11
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Roume H, Mondot S, Saliou A, Le Fresne-Languille S, Doré J. Multicenter evaluation of gut microbiome profiling by next-generation sequencing reveals major biases in partial-length metabarcoding approach. Sci Rep 2023; 13:22593. [PMID: 38114587 PMCID: PMC10730622 DOI: 10.1038/s41598-023-46062-7] [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: 02/27/2023] [Accepted: 10/27/2023] [Indexed: 12/21/2023] Open
Abstract
Next-generation sequencing workflows, using either metabarcoding or metagenomic approaches, have massively contributed to expanding knowledge of the human gut microbiota, but methodological bias compromises reproducibility across studies. Where these biases have been quantified within several comparative analyses on their own, none have measured inter-laboratory reproducibility using similar DNA material. Here, we designed a multicenter study involving seven participating laboratories dedicated to partial- (P1 to P5), full-length (P6) metabarcoding, or metagenomic profiling (MGP) using DNA from a mock microbial community or extracted from 10 fecal samples collected at two time points from five donors. Fecal material was collected, and the DNA was extracted according to the IHMS protocols. The mock and isolated DNA were then provided to the participating laboratories for sequencing. Following sequencing analysis according to the laboratories' routine pipelines, relative taxonomic-count tables defined at the genus level were provided and analyzed. Large variations in alpha-diversity between laboratories, uncorrelated with sequencing depth, were detected among the profiles. Half of the genera identified by P1 were unique to this partner and two-thirds of the genera identified by MGP were not detected by P3. Analysis of beta-diversity revealed lower inter-individual variance than inter-laboratory variances. The taxonomic profiles of P5 and P6 were more similar to those of MGP than those obtained by P1, P2, P3, and P4. Reanalysis of the raw sequences obtained by partial-length metabarcoding profiling, using a single bioinformatic pipeline, harmonized the description of the bacterial profiles, which were more similar to each other, except for P3, and closer to the profiles obtained by MGP. This study highlights the major impact of the bioinformatics pipeline, and primarily the database used for taxonomic annotation. Laboratories need to benchmark and optimize their bioinformatic pipelines using standards to monitor their effectiveness in accurately detecting taxa present in gut microbiota.
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Affiliation(s)
- Hugo Roume
- Université Paris-Saclay, INRAE, MetaGenoPolis, 78350, Jouy-en-Josas, France
- Discovery & Front End Innovation, Lesaffre Institute of Science & Technology, Lesaffre International, 101 rue de Menin, 59700, Marcq-en-Barœul, France
| | - Stanislas Mondot
- Université Paris-Saclay, INRAE, AgroParisTech, Micalis Institute, 78350, Jouy-en-Josas, France
| | - Adrien Saliou
- BIOASTER, Microbiology Technology Institute, 40 Avenue Tony Garnier, 69007, Lyon, France
| | | | - Joël Doré
- Université Paris-Saclay, INRAE, MetaGenoPolis, 78350, Jouy-en-Josas, France.
- Université Paris-Saclay, INRAE, AgroParisTech, Micalis Institute, 78350, Jouy-en-Josas, France.
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12
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Thomas SC, Miller G, Li X, Saxena D. Getting off tract: contributions of intraorgan microbiota to cancer in extraintestinal organs. Gut 2023; 73:175-185. [PMID: 37918889 PMCID: PMC10842768 DOI: 10.1136/gutjnl-2022-328834] [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: 12/23/2022] [Accepted: 10/16/2023] [Indexed: 11/04/2023]
Abstract
The gastrointestinal ecosystem has received the most attention when examining the contributions of the human microbiome to health and disease. This concentration of effort is logical due to the overwhelming abundance of microbes in the gut coupled with the relative ease of sampling compared with other organs. However, the intestines are intimately connected to multiple extraintestinal organs, providing an opportunity for homeostatic microbial colonisation and pathogenesis in organs traditionally thought to be sterile or only transiently harbouring microbiota. These habitats are challenging to sample, and their low microbial biomass among large amounts of host tissue can make study challenging. Nevertheless, recent findings have shown that many extraintestinal organs that are intimately linked to the gut harbour stable microbiomes, which are colonised from the gut in selective manners and have highlighted not just the influence of the bacteriome but that of the mycobiome and virome on oncogenesis and health.
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Affiliation(s)
- Scott C Thomas
- Department of Molecular Pathobiology, New York University College of Dentistry, New York, NY, USA
| | - George Miller
- Cancer Center, Holy Name Medical Center, Teaneck, NJ, USA
| | - Xin Li
- Department of Molecular Pathobiology, New York University College of Dentistry, New York, NY, USA
- Perlmutter Cancer Institute, New York University Langone Medical Center, New York, NY, USA
- Department of Urology, New York University Grossman School of Medicine, New York, NY, USA
| | - Deepak Saxena
- Department of Molecular Pathobiology, New York University College of Dentistry, New York, NY, USA
- Perlmutter Cancer Institute, New York University Langone Medical Center, New York, NY, USA
- Department of Surgery, New York University Grossman School of Medicine, New York, NY, USA
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13
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Techera C, Tomás G, Grecco S, Williman J, Hernández M, Olivera V, Banda A, Vagnozzi A, Panzera Y, Marandino A, Pérez R. A rapid and affordable amplicon-based method for next-generation genome sequencing of the infectious bursal disease virus. J Virol Methods 2023; 322:114807. [PMID: 37683937 DOI: 10.1016/j.jviromet.2023.114807] [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: 07/11/2023] [Revised: 09/01/2023] [Accepted: 09/05/2023] [Indexed: 09/10/2023]
Abstract
The infectious bursal disease virus (IBDV) causes a severe immunosuppressive disorder in young chickens. IBDV evolution resulted in the emergence of strains with divergent genetic, antigenic, and pathogenic characteristics. Genetic classification is typically performed by sequencing the coding region of the most immunogenic region of the viral protein 2 (VP2). Sequencing both double-stranded RNA genome segments is essential to achieve a more comprehensive IBDV classification that can detect recombinants and reassortments. Here, we report the development and standardization of a tiled PCR amplicon protocol for the direct and cost-effective genome sequencing of global IBDV strains using next-generation technology. Primers for tiled PCR were designed with adapters to bypass expensive and time-consuming library preparation steps. Sequencing was performed on Illumina MiniSeq equipment, and fourteen complete genomes of field strains were assembled using reference sequences. The PCR-enrichment step was used to obtain genomes from low-titer biological samples that were difficult to amplify using traditional sequencing. Phylogenetic analyses of the obtained genomes confirmed previous strain classification. By combining the enrichment methodology with massive sequencing, it is possible to obtain IBDV genomic sequences in a fast and affordable manner. This procedure can be a valuable tool to better understand virus epidemiology.
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Affiliation(s)
- Claudia Techera
- Sección Genética Evolutiva, Departamento de Biología Animal, Instituto de Biología, Facultad de Ciencias, Universidad de la República, Iguá 4225, 11400 Montevideo, Uruguay
| | - Gonzalo Tomás
- Sección Genética Evolutiva, Departamento de Biología Animal, Instituto de Biología, Facultad de Ciencias, Universidad de la República, Iguá 4225, 11400 Montevideo, Uruguay
| | - Sofía Grecco
- Sección Genética Evolutiva, Departamento de Biología Animal, Instituto de Biología, Facultad de Ciencias, Universidad de la República, Iguá 4225, 11400 Montevideo, Uruguay
| | - Joaquín Williman
- Sección Genética Evolutiva, Departamento de Biología Animal, Instituto de Biología, Facultad de Ciencias, Universidad de la República, Iguá 4225, 11400 Montevideo, Uruguay
| | - Martín Hernández
- Sección Genética Evolutiva, Departamento de Biología Animal, Instituto de Biología, Facultad de Ciencias, Universidad de la República, Iguá 4225, 11400 Montevideo, Uruguay
| | - Valeria Olivera
- Instituto de Virología, Centro de Investigaciones en Ciencias Veterinarias y Agronómicas, Instituto Nacional de Tecnología Agropecuaria, 1712 Buenos Aires, Argentina
| | - Alejandro Banda
- Poultry Research and Diagnostic Laboratory, College of Veterinary Medicine, Mississippi State University, Pearl, MS, United States
| | - Ariel Vagnozzi
- Instituto de Virología, Centro de Investigaciones en Ciencias Veterinarias y Agronómicas, Instituto Nacional de Tecnología Agropecuaria, 1712 Buenos Aires, Argentina
| | - Yanina Panzera
- Sección Genética Evolutiva, Departamento de Biología Animal, Instituto de Biología, Facultad de Ciencias, Universidad de la República, Iguá 4225, 11400 Montevideo, Uruguay
| | - Ana Marandino
- Sección Genética Evolutiva, Departamento de Biología Animal, Instituto de Biología, Facultad de Ciencias, Universidad de la República, Iguá 4225, 11400 Montevideo, Uruguay.
| | - Ruben Pérez
- Sección Genética Evolutiva, Departamento de Biología Animal, Instituto de Biología, Facultad de Ciencias, Universidad de la República, Iguá 4225, 11400 Montevideo, Uruguay.
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14
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Chowdhary A, Van Gelder RN, Sundararajan M. Methodologic Considerations for Studying the Ocular Surface Microbiome. OPHTHALMOLOGY SCIENCE 2023; 3:100408. [PMID: 38025161 PMCID: PMC10654231 DOI: 10.1016/j.xops.2023.100408] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/10/2023] [Revised: 09/26/2023] [Accepted: 09/28/2023] [Indexed: 12/01/2023]
Abstract
The ocular surface microbiome, unlike that of the skin or gut, has not been well characterized. Culture experiments historically suggested a nearly sterile ocular surface, but initial application of molecular methods such as 16S ribosomal RNA and high-throughput sequencing demonstrated a surprisingly rich ocular surface microbiome. However, a major limitation in studying such a low-biomass niche is the potential for artifactual results when amplification-based techniques such as ribosomal polymerase chain reaction and shotgun sequencing are used. It will be essential to establish standards across the field for sample collection, positive and negative controls, and limitation of contamination in both the laboratory setting and computational analysis. New developments in ocular microbiome research, including the generation of reference reagents and fluoroscopic imaging techniques, provide improved means to validate sequencing results and to visualize complex interactions between host cells and bacteria. Through more thorough characterization of the ocular surface microbiome, the connections between a dysregulated surface and ophthalmic disease may be better understood. Financial Disclosures Proprietary or commercial disclosure may be found in the Footnotes and Disclosures at the end of this article.
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Affiliation(s)
- Apoorva Chowdhary
- Department of Ophthalmology, University of Washington, Seattle, Washington
| | - Russell N. Van Gelder
- Department of Ophthalmology, University of Washington, Seattle, Washington
- Roger and Angie Karalis Johnson Retina Center, Seattle, Washington
- Department of Biological Structure, University of Washington, Seattle, Washington
- Department of Laboratory Medicine and Pathology, University of Washington, Seattle, Washington
| | - Miel Sundararajan
- Department of Ophthalmology, University of Washington, Seattle, Washington
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15
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Hülpüsch C, Rauer L, Nussbaumer T, Schwierzeck V, Bhattacharyya M, Erhart V, Traidl-Hoffmann C, Reiger M, Neumann AU. Benchmarking MicrobIEM - a user-friendly tool for decontamination of microbiome sequencing data. BMC Biol 2023; 21:269. [PMID: 37996810 PMCID: PMC10666409 DOI: 10.1186/s12915-023-01737-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2023] [Accepted: 10/16/2023] [Indexed: 11/25/2023] Open
Abstract
BACKGROUND Microbiome analysis is becoming a standard component in many scientific studies, but also requires extensive quality control of the 16S rRNA gene sequencing data prior to analysis. In particular, when investigating low-biomass microbial environments such as human skin, contaminants distort the true microbiome sample composition and need to be removed bioinformatically. We introduce MicrobIEM, a novel tool to bioinformatically remove contaminants using negative controls. RESULTS We benchmarked MicrobIEM against five established decontamination approaches in four 16S rRNA amplicon sequencing datasets: three serially diluted mock communities (108-103 cells, 0.4-80% contamination) with even or staggered taxon compositions and a skin microbiome dataset. Results depended strongly on user-selected algorithm parameters. Overall, sample-based algorithms separated mock and contaminant sequences best in the even mock, whereas control-based algorithms performed better in the two staggered mocks, particularly in low-biomass samples (≤ 106 cells). We show that a correct decontamination benchmarking requires realistic staggered mock communities and unbiased evaluation measures such as Youden's index. In the skin dataset, the Decontam prevalence filter and MicrobIEM's ratio filter effectively reduced common contaminants while keeping skin-associated genera. CONCLUSIONS MicrobIEM's ratio filter for decontamination performs better or as good as established bioinformatic decontamination tools. In contrast to established tools, MicrobIEM additionally provides interactive plots and supports selecting appropriate filtering parameters via a user-friendly graphical user interface. Therefore, MicrobIEM is the first quality control tool for microbiome experts without coding experience.
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Affiliation(s)
- Claudia Hülpüsch
- Environmental Medicine, Faculty of Medicine, University of Augsburg, Stenglinstr. 2, 86156, Augsburg, Germany
- Chair of Environmental Medicine, Technical University of Munich, Munich, Germany
- CK CARE, Christine Kühne Center for Allergy Research and Education, Davos, Switzerland
| | - Luise Rauer
- Environmental Medicine, Faculty of Medicine, University of Augsburg, Stenglinstr. 2, 86156, Augsburg, Germany
- Chair of Environmental Medicine, Technical University of Munich, Munich, Germany
- Institute of Environmental Medicine, Helmholtz Munich, Augsburg, Germany
| | - Thomas Nussbaumer
- Institute of Environmental Medicine, Helmholtz Munich, Augsburg, Germany
| | - Vera Schwierzeck
- Institute of Environmental Medicine, Helmholtz Munich, Augsburg, Germany
- Institute of Hygiene, University Hospital Muenster, Muenster, Germany
| | - Madhumita Bhattacharyya
- Environmental Medicine, Faculty of Medicine, University of Augsburg, Stenglinstr. 2, 86156, Augsburg, Germany
- Chair of Environmental Medicine, Technical University of Munich, Munich, Germany
| | - Veronika Erhart
- Environmental Medicine, Faculty of Medicine, University of Augsburg, Stenglinstr. 2, 86156, Augsburg, Germany
| | - Claudia Traidl-Hoffmann
- Environmental Medicine, Faculty of Medicine, University of Augsburg, Stenglinstr. 2, 86156, Augsburg, Germany
- Chair of Environmental Medicine, Technical University of Munich, Munich, Germany
- CK CARE, Christine Kühne Center for Allergy Research and Education, Davos, Switzerland
- Institute of Environmental Medicine, Helmholtz Munich, Augsburg, Germany
- ZIEL - Institute for Food & Health, Technical University of Munich, Freising-Weihenstephan, Germany
| | - Matthias Reiger
- Environmental Medicine, Faculty of Medicine, University of Augsburg, Stenglinstr. 2, 86156, Augsburg, Germany
- Chair of Environmental Medicine, Technical University of Munich, Munich, Germany
- Institute of Environmental Medicine, Helmholtz Munich, Augsburg, Germany
| | - Avidan U Neumann
- Environmental Medicine, Faculty of Medicine, University of Augsburg, Stenglinstr. 2, 86156, Augsburg, Germany.
- Institute of Environmental Medicine, Helmholtz Munich, Augsburg, Germany.
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16
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Hughes RL, Frankenfeld CL, Gohl DM, Huttenhower C, Jackson SA, Vandeputte D, Vogtmann E, Comstock SS, Kable ME. Methods in Nutrition & Gut Microbiome Research: An American Society for Nutrition Satellite Session [13 October 2022]. Nutrients 2023; 15:nu15112451. [PMID: 37299414 DOI: 10.3390/nu15112451] [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: 04/11/2023] [Revised: 05/14/2023] [Accepted: 05/19/2023] [Indexed: 06/12/2023] Open
Abstract
The microbial cells colonizing the human body form an ecosystem that is integral to the regulation and maintenance of human health. Elucidation of specific associations between the human microbiome and health outcomes is facilitating the development of microbiome-targeted recommendations and treatments (e.g., fecal microbiota transplant; pre-, pro-, and post-biotics) to help prevent and treat disease. However, the potential of such recommendations and treatments to improve human health has yet to be fully realized. Technological advances have led to the development and proliferation of a wide range of tools and methods to collect, store, sequence, and analyze microbiome samples. However, differences in methodology at each step in these analytic processes can lead to variability in results due to the unique biases and limitations of each component. This technical variability hampers the detection and validation of associations with small to medium effect sizes. Therefore, the American Society for Nutrition (ASN) Nutritional Microbiology Group Engaging Members (GEM), sponsored by the Institute for the Advancement of Food and Nutrition Sciences (IAFNS), hosted a satellite session on methods in nutrition and gut microbiome research to review currently available methods for microbiome research, best practices, as well as tools and standards to aid in comparability of methods and results. This manuscript summarizes the topics and research discussed at the session. Consideration of the guidelines and principles reviewed in this session will increase the accuracy, precision, and comparability of microbiome research and ultimately the understanding of the associations between the human microbiome and health.
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Affiliation(s)
| | | | - Daryl M Gohl
- University of Minnesota Genomics Center, Minneapolis, MN 55455, USA
- Department of Genetics, Cell Biology, and Developmental Biology, University of Minnesota, Minneapolis, MN 55455, USA
| | - Curtis Huttenhower
- Department of Biostatistics and Immunology and Infectious Diseases, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA
- Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
- Harvard Chan Microbiome in Public Health Center, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA
| | - Scott A Jackson
- Complex Microbial Systems Group, Biosystems and Biomaterials Division, National Institute of Standards and Technology, Gaithersburg, MD 20899, USA
| | - Doris Vandeputte
- Meinig School of Biomedical Engineering, Cornell University, Ithaca, NY 14850, USA
| | - Emily Vogtmann
- Metabolic Epidemiology Branch, Division of Cancer Epidemiology & Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD 20892, USA
| | - Sarah S Comstock
- Department of Food Science and Human Nutrition, Michigan State University, East Lansing, MI 48824, USA
| | - Mary E Kable
- USDA-ARS Western Human Nutrition Research Center, University of California-Davis, Davis, CA 95616, USA
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17
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De Wolfe TJ, Wright ES. Multi-factorial examination of amplicon sequencing workflows from sample preparation to bioinformatic analysis. BMC Microbiol 2023; 23:107. [PMID: 37076812 PMCID: PMC10114302 DOI: 10.1186/s12866-023-02851-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/26/2022] [Accepted: 04/04/2023] [Indexed: 04/21/2023] Open
Abstract
BACKGROUND The development of sequencing technologies to evaluate bacterial microbiota composition has allowed new insights into the importance of microbial ecology. However, the variety of methodologies used among amplicon sequencing workflows leads to uncertainty about best practices as well as reproducibility and replicability among microbiome studies. Using a bacterial mock community composed of 37 soil isolates, we performed a comprehensive methodological evaluation of workflows, each with a different combination of methodological factors spanning sample preparation to bioinformatic analysis to define sources of artifacts that affect coverage, accuracy, and biases in the resulting compositional profiles. RESULTS Of the workflows examined, those using the V4-V4 primer set enabled the highest level of concordance between the original mock community and resulting microbiome sequence composition. Use of a high-fidelity polymerase, or a lower-fidelity polymerase with an increased PCR elongation time, limited chimera formation. Bioinformatic pipelines presented a trade-off between the fraction of distinct community members identified (coverage) and fraction of correct sequences (accuracy). DADA2 and QIIME2 assembled V4-V4 reads amplified by Taq polymerase resulted in the highest accuracy (100%) but had a coverage of only 52%. Using mothur to assemble and denoise V4-V4 reads resulted in a coverage of 75%, albeit with marginally lower accuracy (99.5%). CONCLUSIONS Optimization of microbiome workflows is critical for accuracy and to support reproducibility and replicability among microbiome studies. These considerations will help reveal the guiding principles of microbial ecology and impact the translation of microbiome research to human and environmental health.
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Affiliation(s)
- Travis J. De Wolfe
- Department of Biomedical Informatics, University of Pittsburgh School of Medicine, 450 Technology Drive Rm. 426, Pittsburgh, PA 15219 USA
- Department of Pediatrics, BC Children’s Hospital Research Institute, University of British Columbia, 4480 Oak Street Rm. 208B, Vancouver, BC V6H 4E4 Canada
- Gut4Health, BC Children’s Hospital Research Institute, University of British Columbia, 950 West 28th Avenue Rm. 211, Vancouver, BC V5Z 4H4 Canada
| | - Erik S. Wright
- Department of Biomedical Informatics, University of Pittsburgh School of Medicine, 450 Technology Drive Rm. 426, Pittsburgh, PA 15219 USA
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18
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Fu S, Wang R, Xu Z, Zhou H, Qiu Z, Shen L, Yang Q. Metagenomic sequencing combined with flow cytometry facilitated a novel microbial risk assessment framework for bacterial pathogens in municipal wastewater without cultivation. IMETA 2023; 2:e77. [PMID: 38868349 PMCID: PMC10989823 DOI: 10.1002/imt2.77] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 08/24/2022] [Revised: 12/05/2022] [Accepted: 12/07/2022] [Indexed: 06/14/2024]
Abstract
A workflow that combined metagenomic sequencing with flow cytometry was developed. The absolute abundance of pathogens was accurately estimated in mock communities and real samples. Metagenome-assembled genomes binned from metagenomic data set is robust in phylogenetic analysis and virulence profiling.
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Affiliation(s)
- Songzhe Fu
- Key Laboratory of Environment Controlled Aquaculture (KLECA), Ministry of EducationDalian Ocean UniversityDalianChina
- Key Laboratory of Resource Biology and Biotechnology in Western China, Ministry of EducationNorthwest UniversityXi'anChina
| | - Rui Wang
- Key Laboratory of Environment Controlled Aquaculture (KLECA), Ministry of EducationDalian Ocean UniversityDalianChina
| | - Zheng Xu
- Shenzhen Yantian District People's HospitalShenzhenChina
- Institute of Biomedicine and Biotechnology, Shenzhen Institute of Advanced TechnologyChinese Academy of SciencesShenzhenChina
| | - Huiwen Zhou
- College of Life Science and HealthNortheastern UniversityShenyangChina
| | - Zhiguang Qiu
- School of Environment and Energy, Shenzhen Graduate SchoolPeking UniversityShenzhenChina
| | - Lixin Shen
- Key Laboratory of Resource Biology and Biotechnology in Western China, Ministry of EducationNorthwest UniversityXi'anChina
| | - Qian Yang
- Center for Microbial Ecology and Technology (CMET)Ghent UniversityGentBelgium
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19
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Mishra A, Singh L, Singh D. Unboxing the black box-one step forward to understand the soil microbiome: A systematic review. MICROBIAL ECOLOGY 2023; 85:669-683. [PMID: 35112151 PMCID: PMC9957845 DOI: 10.1007/s00248-022-01962-5] [Citation(s) in RCA: 9] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 11/03/2021] [Accepted: 01/10/2022] [Indexed: 06/14/2023]
Abstract
Soil is one of the most important assets of the planet Earth, responsible for maintaining the biodiversity and managing the ecosystem services for both managed and natural ecosystems. It encompasses large proportion of microscopic biodiversity, including prokaryotes and the microscopic eukaryotes. Soil microbiome is critical in managing the soil functions, but their activities have diminutive recognition in few systems like desert land and forest ecosystems. Soil microbiome is highly dependent on abiotic and biotic factors like pH, carbon content, soil structure, texture, and vegetation, but it can notably vary with ecosystems and the respective inhabitants. Thus, unboxing this black box is essential to comprehend the basic components adding to the soil systems and supported ecosystem services. Recent advancements in the field of molecular microbial ecology have delivered commanding tools to examine this genetic trove of soil biodiversity. Objective of this review is to provide a critical evaluation of the work on the soil microbiome, especially since the advent of the NGS techniques. The review also focuses on advances in our understanding of soil communities, their interactions, and functional capabilities along with understanding their role in maneuvering the biogeochemical cycle while underlining and tapping the unprecedented metagenomics data to infer the ecological attributes of yet undiscovered soil microbiome. This review focuses key research directions that could shape the future of basic and applied research into the soil microbiome. This review has led us to understand that it is difficult to generalize that soil microbiome plays a substantiated role in shaping the soil networks and it is indeed a vital resource for sustaining the ecosystem functioning. Exploring soil microbiome will help in unlocking their roles in various soil network. It could be resourceful in exploring and forecasting its impacts on soil systems and for dealing with alleviating problems like rapid climate change.
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Affiliation(s)
- Apurva Mishra
- Academy of Scientific and Innovative Research [AcSIR], Ghaziabad, 201002, India
- Environmental Biotechnology and Genomics Division, , CSIR-National Environmental Engineering Research Institute, Nehru Marg, Nagpur, 440020, Maharashtra, India
| | - Lal Singh
- Environmental Biotechnology and Genomics Division, , CSIR-National Environmental Engineering Research Institute, Nehru Marg, Nagpur, 440020, Maharashtra, India
| | - Dharmesh Singh
- Institute for Medical Microbiology, Immunology and Hygiene, Technical University of Munich, Trogerstrasse 30, 81675, Munich, Bavaria, Germany.
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20
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Azevedo AC, Hilário S, Gonçalves MFM. Microbiome in Nasal Mucosa of Children and Adolescents with Allergic Rhinitis: A Systematic Review. CHILDREN (BASEL, SWITZERLAND) 2023; 10:children10020226. [PMID: 36832355 PMCID: PMC9954962 DOI: 10.3390/children10020226] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 12/21/2022] [Revised: 01/18/2023] [Accepted: 01/26/2023] [Indexed: 01/31/2023]
Abstract
The human upper respiratory tract comprises the nasal cavity, pharynx and larynx regions and offers distinct microbial communities. However, an imbalance and alterations in the nasal mucosa microbiome enhance the risk of chronic respiratory conditions in patients with allergic respiratory diseases. This is particularly important in children and adolescents once allergic rhinitis (AR) is an inflammatory disorder of the nasal mucosa, often associated with an increase in pulmonary allergic inflammation. Therefore, this systematic review aimed to collect scientific data published concerning the microbial community alterations in nasal mucosa of children and adolescents suffering from AR or in association with adenotonsillar hypertrophy (AH) and allergic rhinoconjunctivitis (ARC). The current study was performed using the guidelines of Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA). Publications related to microbiome alterations in the nasal mucosa in pediatric age, studies including next-generation sequencing platforms, and studies exclusively written in the English language were some of the inclusion criteria. In total, five articles were included. Despite the scarcity of the published data in this research field and the lack of prospective studies, the genera Acinetobacter, Corynebacterium, Dolosigranulum, Haemophilus, Moraxella, Staphylococcus and Streptococcus dominate the nares and nasopharyngeal microbiome of the pediatric population regardless of their age. However, an imbalance in the resident bacterial community in the nasal mucosa was observed. The genera Acinetobacter, and Pseudomonas were more abundant in the nasal cavity of AR and AH children, while Streptococcus and Moraxella were predominant in the hypopharyngeal region of AR infants. An abundance of Staphylococcus spp. was also reported in the anterior nares and hypopharyngeal region of children and adolescents suffering from AR passive smoke exposure and ARC. These records suggest that different nasal structures, ageing, smoke exposure and the presence of other chronic disorders shape the nasal mucosa microbiome. Therefore, the establishment of adequate criteria for sampling would be established for a deeper understanding and a trustworthy comparison of the microbiome alterations in pediatric age.
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Affiliation(s)
- André Costa Azevedo
- Department of Pediatrics, Unidade Local de Saúde do Alto Minho, 4904-858 Viana do Castelo, Portugal
| | - Sandra Hilário
- CESAM, Department of Biology, University of Aveiro, 3810-193 Aveiro, Portugal
| | - Micael F. M. Gonçalves
- Division of Microbiology, Department of Pathology, Faculty of Medicine, University of Porto, 4200-319 Porto, Portugal
- Correspondence: or
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21
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Chapman JA, Stewart CJ. Methodological challenges in neonatal microbiome research. Gut Microbes 2023; 15:2183687. [PMID: 36843005 PMCID: PMC9980642 DOI: 10.1080/19490976.2023.2183687] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/23/2022] [Accepted: 02/16/2023] [Indexed: 02/28/2023] Open
Abstract
Following microbial colonization at birth, the gut microbiome plays a vital role in the healthy development of human neonates and impacts both health and disease in later life. Understanding the development of the neonatal gut microbiome and how it interacts with the neonatal host are therefore important areas of study. However, research within this field must address a range of specific challenges that impact the design and implementation of research methods. If not considered ahead of time, these challenges have the potential to introduce biases into studies, negatively affecting the relevance, reproducibility, and impact of any findings. This review outlines the nature of these challenges and points to current and future solutions, as outlined in the literature, to assist researchers in the early stages of study design.
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Affiliation(s)
- Jonathan A Chapman
- Translational and Clinical Research Institute, Newcastle University, Newcastle upon Tyne, UK
| | - Christopher J Stewart
- Translational and Clinical Research Institute, Newcastle University, Newcastle upon Tyne, UK
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22
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Fekete EE, Figeys D, Zhang X. Microbiota-directed biotherapeutics: considerations for quality and functional assessment. Gut Microbes 2023; 15:2186671. [PMID: 36896938 PMCID: PMC10012963 DOI: 10.1080/19490976.2023.2186671] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/21/2022] [Accepted: 02/24/2023] [Indexed: 03/11/2023] Open
Abstract
Mounting evidence points to causative or correlative roles of gut microbiome in the development of a myriad of diseases ranging from gastrointestinal diseases, metabolic diseases to neurological disorders and cancers. Consequently, efforts have been made to develop and apply therapeutics targeting the human microbiome, in particular the gut microbiota, for treating diseases and maintaining wellness. Here we summarize the current development of gut microbiota-directed therapeutics with a focus on novel biotherapeutics, elaborate the need of advanced -omics approaches for evaluating the microbiota-type biotherapeutics, and discuss the clinical and regulatory challenges. We also discuss the development and potential application of ex vivo microbiome assays and in vitro intestinal cellular models in this context. Altogether, this review aims to provide a broad view of promises and challenges of the emerging field of microbiome-directed human healthcare.
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Affiliation(s)
- Emily Ef Fekete
- Regulatory Research Division, Centre for Oncology, Radiopharmaceuticals and Research, Biologic and Radiopharmaceutical Drugs Directorate, Health Products and Food Branch, Health Canada, Ottawa, Canada
| | - Daniel Figeys
- School of Pharmaceutical Sciences, Faculty of Medicine, University of Ottawa, Ottawa, Canada
- Ottawa Institute of Systems Biology and Department of Biochemistry, Microbiology and Immunology, Faculty of Medicine, University of Ottawa, Ottawa, Canada
| | - Xu Zhang
- Regulatory Research Division, Centre for Oncology, Radiopharmaceuticals and Research, Biologic and Radiopharmaceutical Drugs Directorate, Health Products and Food Branch, Health Canada, Ottawa, Canada
- School of Pharmaceutical Sciences, Faculty of Medicine, University of Ottawa, Ottawa, Canada
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23
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Mendes CI, Vila-Cerqueira P, Motro Y, Moran-Gilad J, Carriço JA, Ramirez M. LMAS: evaluating metagenomic short de novo assembly methods through defined communities. Gigascience 2022; 12:giac122. [PMID: 36576131 PMCID: PMC9795473 DOI: 10.1093/gigascience/giac122] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/04/2022] [Revised: 09/26/2022] [Accepted: 11/16/2022] [Indexed: 12/29/2022] Open
Abstract
BACKGROUND The de novo assembly of raw sequence data is key in metagenomic analysis. It allows recovering draft genomes from a pool of mixed raw reads, yielding longer sequences that offer contextual information and provide a more complete picture of the microbial community. FINDINGS To better compare de novo assemblers for metagenomic analysis, LMAS (Last Metagenomic Assembler Standing) was developed as a flexible platform allowing users to evaluate assembler performance given known standard communities. Overall, in our test datasets, k-mer De Bruijn graph assemblers outperformed the alternative approaches but came with a greater computational cost. Furthermore, assemblers branded as metagenomic specific did not consistently outperform other genomic assemblers in metagenomic samples. Some assemblers still in use, such as ABySS, MetaHipmer2, minia, and VelvetOptimiser, perform relatively poorly and should be used with caution when assembling complex samples. Meaningful strain resolution at the single-nucleotide polymorphism level was not achieved, even by the best assemblers tested. CONCLUSIONS The choice of a de novo assembler depends on the computational resources available, the replicon of interest, and the major goals of the analysis. No single assembler appeared an ideal choice for short-read metagenomic prokaryote replicon assembly, each showing specific strengths. The choice of metagenomic assembler should be guided by user requirements and characteristics of the sample of interest, and LMAS provides an interactive evaluation platform for this purpose. LMAS is open source, and the workflow and its documentation are available at https://github.com/B-UMMI/LMAS and https://lmas.readthedocs.io/, respectively.
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Affiliation(s)
- Catarina Inês Mendes
- Instituto de Microbiologia, Instituto de Medicina Molecular, Faculdade de Medicina, Universidade de Lisboa, 1649-028 Lisboa, Portugal
| | - Pedro Vila-Cerqueira
- Instituto de Microbiologia, Instituto de Medicina Molecular, Faculdade de Medicina, Universidade de Lisboa, 1649-028 Lisboa, Portugal
| | - Yair Motro
- Faculty of Health Sciences, Ben-Gurion University of the Negev, 8410501 Beer-Sheva, Israel
| | - Jacob Moran-Gilad
- Faculty of Health Sciences, Ben-Gurion University of the Negev, 8410501 Beer-Sheva, Israel
| | - João André Carriço
- Instituto de Microbiologia, Instituto de Medicina Molecular, Faculdade de Medicina, Universidade de Lisboa, 1649-028 Lisboa, Portugal
| | - Mário Ramirez
- Instituto de Microbiologia, Instituto de Medicina Molecular, Faculdade de Medicina, Universidade de Lisboa, 1649-028 Lisboa, Portugal
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24
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Khan AS, Theuns S, Mallet L, Cirefice G, Bhuller R, Goios A, Suri R, Neels P. IABS/DCVMN webinar on next generation sequencing. Biologicals 2022; 81:101662. [PMID: 36543633 DOI: 10.1016/j.biologicals.2022.12.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2022] [Revised: 11/24/2022] [Accepted: 12/16/2022] [Indexed: 12/23/2022] Open
Abstract
Next Generation Sequencing (NGS) is a new technology that could overcome some of the limitations of the current viral testing methods for demonstrating the absence of adventitious agents in biologics. This report is for the webinar that was organized by the International Alliance for Biological Standardization (IABS) and the Developing Countries Vaccine Manufacturers Network (DCVMN), held on July 20, 2022, as an introduction to the technical and bioinformatics concepts of NGS and to some of the strengths and limitations of using the technology for those working in vaccine production or development. The current state of scientific knowledge and readiness of NGS to replace or supplement the current viral tests was further discussed in the 3rd Conference on NGS for Adventitious Virus Detection in Biologics for Humans and Animals that was held in Rockville, Maryland, USA, on September 27-28, 2022. The application of NGS to supplement or replace current in vivo and in vitro assays in adventitious virus testing during vaccine production is promising; however, assay performance (sensitivity, specificity, and reproducibility) needs to be demonstrated, which may include laboratory and bioinformatics work. Efforts from regulatory authorities, industry, and researchers are ongoing to facilitate validation and establishment of NGS as a new method for virus detection.
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25
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Gut Microbiome Studies in Livestock: Achievements, Challenges, and Perspectives. Animals (Basel) 2022; 12:ani12233375. [PMID: 36496896 PMCID: PMC9736591 DOI: 10.3390/ani12233375] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2022] [Revised: 11/16/2022] [Accepted: 11/28/2022] [Indexed: 12/03/2022] Open
Abstract
The variety and makeup of the gut microbiome are frequently regarded as the primary determinants of health and production performances in domestic animals. High-throughput DNA/RNA sequencing techniques (NGS) have recently gained popularity and permitted previously unheard-of advancements in the study of gut microbiota, particularly for determining the taxonomic composition of such complex communities. Here, we summarize the existing body of knowledge on livestock gut microbiome, discuss the state-of-the-art in sequencing techniques, and offer predictions for next research. We found that the enormous volumes of available data are biased toward a small number of globally distributed and carefully chosen varieties, while local breeds (or populations) are frequently overlooked despite their demonstrated resistance to harsh environmental circumstances. Furthermore, the bulk of this research has mostly focused on bacteria, whereas other microbial components such as protists, fungi, and viruses have received far less attention. The majority of these data were gathered utilizing traditional metabarcoding techniques that taxonomically identify the gut microbiota by analyzing small portions of their genome (less than 1000 base pairs). However, to extend the coverage of microbial genomes for a more precise and thorough characterization of microbial communities, a variety of increasingly practical and economical shotgun techniques are currently available.
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26
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Sergaki C, Anwar S, Fritzsche M, Mate R, Francis RJ, MacLellan-Gibson K, Logan A, Amos GCA. Developing whole cell standards for the microbiome field. MICROBIOME 2022; 10:123. [PMID: 35945640 PMCID: PMC9361656 DOI: 10.1186/s40168-022-01313-z] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/10/2021] [Accepted: 06/24/2022] [Indexed: 05/08/2023]
Abstract
BACKGROUND Effective standardisation of the microbiome field is essential to facilitate global translational research and increase the reproducibility of microbiome studies. In this study, we describe the development and validation of a whole cell reference reagent specific to the gut microbiome by the UK National Institute for Biological Standards and Control. We also provide and test a two-step reporting framework to allow microbiome researchers to quickly and accurately validate choices of DNA extraction, sequencing, and bioinformatic pipelines. RESULTS Using 20 strains that are commonly found in the gut, we developed a whole cell reference reagent (WC-Gut RR) for the evaluation of the DNA extraction protocols commonly used in microbiome pipelines. DNA was first analysed using the physicochemical measures of yield, integrity, and purity, which demonstrated kits widely differed in the quality of the DNA they produced. Importantly, the combination of the WC-Gut RR and the three physicochemical measures allowed us to differentiate clearly between kit performance. We next assessed the ability of WC-Gut RR to evaluate kit performance in the reconstitution of accurate taxonomic profiles. We applied a four-measure framework consisting of Sensitivity, false-positive relative abundance (FPRA), Diversity, and Similarity as previously described for DNA reagents. Using the WC-Gut RR and these four measures, we could reliably identify the DNA extraction kits' biases when using with both 16S rRNA sequencing and shotgun sequencing. Moreover, when combining this with complementary DNA standards, we could estimate the relative bias contributions of DNA extraction kits vs bioinformatic analysis. Finally, we assessed WC-Gut RR alongside other commercially available reagents. The analysis here clearly demonstrates that reagents of lower complexity, not composed of anaerobic and hard-to-lyse strains from the gut, can artificially inflate the performance of microbiome DNA extraction kits and bioinformatic pipelines. CONCLUSIONS We produced a complex whole cell reagent that is specific for the gut microbiome and can be used to evaluate and benchmark DNA extractions in microbiome studies. Used alongside a DNA standard, the NIBSC DNA-Gut-Mix RR helps estimating where biases occur in microbiome pipelines. In the future, we aim to establish minimum thresholds for data quality through an interlaboratory collaborative study. Video Abstract.
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Affiliation(s)
- Chrysi Sergaki
- Division of Bacteriology, National Institute for Biological Standards and Control, Potters Bar, Hertfordshire, EN6 3QG, UK.
| | - Saba Anwar
- Division of Bacteriology, National Institute for Biological Standards and Control, Potters Bar, Hertfordshire, EN6 3QG, UK
| | - Martin Fritzsche
- Division of Analytical and Biological Sciences, National Institute for Biological Standards and Control, Potters Bar, Hertfordshire, EN6 3QG, UK
| | - Ryan Mate
- Division of Analytical and Biological Sciences, National Institute for Biological Standards and Control, Potters Bar, Hertfordshire, EN6 3QG, UK
| | - Robert J Francis
- Division of Analytical and Biological Sciences, National Institute for Biological Standards and Control, Potters Bar, Hertfordshire, EN6 3QG, UK
| | - Kirsty MacLellan-Gibson
- Division of Analytical and Biological Sciences, National Institute for Biological Standards and Control, Potters Bar, Hertfordshire, EN6 3QG, UK
| | - Alastair Logan
- Division of Bacteriology, National Institute for Biological Standards and Control, Potters Bar, Hertfordshire, EN6 3QG, UK
| | - Gregory C A Amos
- Division of Bacteriology, National Institute for Biological Standards and Control, Potters Bar, Hertfordshire, EN6 3QG, UK
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Chiang TY, Yang YR, Zhuo MY, Yang F, Zhang YF, Fu CH, Lee TJ, Chung WH, Chen L, Chang CJ. Microbiome profiling of nasal extracellular vesicles in patients with allergic rhinitis. World Allergy Organ J 2022; 15:100674. [PMID: 36017065 PMCID: PMC9386106 DOI: 10.1016/j.waojou.2022.100674] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2022] [Revised: 06/22/2022] [Accepted: 07/05/2022] [Indexed: 11/28/2022] Open
Abstract
Background Methods Results Conclusion
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Affiliation(s)
- Tsai-Yeh Chiang
- Department of Otorhinolaryngology, Xiamen Chang Gung Hospital, Xiamen, Fujian, China
- Xiamen Chang Gung Allergology Consortium, Xiamen Chang Gung Hospital, Xiamen, Fujian, China
| | - Yu-Ru Yang
- Department of Otorhinolaryngology, Xiamen Chang Gung Hospital, Xiamen, Fujian, China
| | - Ming-Ying Zhuo
- Department of Otorhinolaryngology, Xiamen Chang Gung Hospital, Xiamen, Fujian, China
| | - Feng Yang
- Department of Otorhinolaryngology, Xiamen Chang Gung Hospital, Xiamen, Fujian, China
| | - Ying-Fei Zhang
- Department of Otorhinolaryngology, Xiamen Chang Gung Hospital, Xiamen, Fujian, China
| | - Chia-Hsiang Fu
- Department of Otolaryngology-Head and Neck Surgery, Linkou Chang Gung Memorial Hospital, Taoyuan City, Taiwan
- Graduate Institute of Clinical Medical Sciences, College of Medicine, Chang Gung University, Taoyuan City, Taiwan
| | - Ta-Jen Lee
- Department of Otorhinolaryngology, Xiamen Chang Gung Hospital, Xiamen, Fujian, China
- Department of Otolaryngology-Head and Neck Surgery, Linkou Chang Gung Memorial Hospital, Taoyuan City, Taiwan
- Graduate Institute of Clinical Medical Sciences, College of Medicine, Chang Gung University, Taoyuan City, Taiwan
| | - Wen-Hung Chung
- Xiamen Chang Gung Allergology Consortium, Xiamen Chang Gung Hospital, Xiamen, Fujian, China
- Medical Research Center, Xiamen Chang Gung Hospital, Xiamen, Fujian, China
- Department of Dermatology, Xiamen Chang Gung Hospital, Xiamen, Fujian, China
- Department of Dermatology and Drug Hypersensitivity Clinical and Research Center, Chang Gung Memorial Hospital, Linkou, Taipei and Keelung, Taiwan
- Cancer Vaccine and Immune Cell Therapy Core Laboratory, Department of Medical Research, Chang Gung Memorial Hospital, Linkou, Taoyuan, Taiwan
- Whole-Genome Research Core Laboratory of Human Diseases, Chang Gung Memorial Hospital, Keelung, Taiwan
| | - Liang Chen
- Xiamen Chang Gung Allergology Consortium, Xiamen Chang Gung Hospital, Xiamen, Fujian, China
- Department of Respiratory and Critical Care Medicine, Xiamen Chang Gung Hospital, Xiamen, Fujian, China
- Department of Allergy and Immunology, Xiamen Chang Gung Hospital, Xiamen, Fujian, China
- Corresponding author. Xiamen Chang Gung Allergology Consortium, Xiamen Chang Gung Hospital, Xiamen, Fujian, China.
| | - Chih-Jung Chang
- Xiamen Chang Gung Allergology Consortium, Xiamen Chang Gung Hospital, Xiamen, Fujian, China
- Medical Research Center, Xiamen Chang Gung Hospital, Xiamen, Fujian, China
- Department of Dermatology and Drug Hypersensitivity Clinical and Research Center, Chang Gung Memorial Hospital, Linkou, Taipei and Keelung, Taiwan
- School of Medicine, Huaqiao University, Quanzhou, Fujian, China
- Corresponding author. Medical Research Center, Xiamen Chang Gung Hospital, Xiamen, Fujian, China.
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28
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Cernava T, Rybakova D, Buscot F, Clavel T, McHardy AC, Meyer F, Meyer F, Overmann J, Stecher B, Sessitsch A, Schloter M, Berg G. Metadata harmonization-Standards are the key for a better usage of omics data for integrative microbiome analysis. ENVIRONMENTAL MICROBIOME 2022; 17:33. [PMID: 35751093 PMCID: PMC9233336 DOI: 10.1186/s40793-022-00425-1] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 03/25/2022] [Accepted: 05/29/2022] [Indexed: 06/15/2023]
Abstract
BACKGROUND Tremendous amounts of data generated from microbiome research studies during the last decades require not only standards for sampling and preparation of omics data but also clear concepts of how the metadata is prepared to ensure re-use for integrative and interdisciplinary microbiome analysis. RESULTS In this Commentary, we present our views on the key issues related to the current system for metadata submission in omics research, and propose the development of a global metadata system. Such a system should be easy to use, clearly structured in a hierarchical way, and should be compatible with all existing microbiome data repositories, following common standards for minimal required information and common ontology. Although minimum metadata requirements are essential for microbiome datasets, the immense technological progress requires a flexible system, which will have to be constantly improved and re-thought. While FAIR principles (Findable, Accessible, Interoperable, and Reusable) are already considered, international legal issues on genetic resource and sequence sharing provided by the Convention on Biological Diversity need more awareness and engagement of the scientific community. CONCLUSIONS The suggested approach for metadata entries would strongly improve retrieving and re-using data as demonstrated in several representative use cases. These integrative analyses, in turn, would further advance the potential of microbiome research for novel scientific discoveries and the development of microbiome-derived products.
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Affiliation(s)
- Tomislav Cernava
- Institute of Environmental Biotechnology, Graz University of Technology, Graz, Austria
| | - Daria Rybakova
- Institute of Environmental Biotechnology, Graz University of Technology, Graz, Austria
| | - François Buscot
- 2Soil Ecology Department, Helmholtz Centre for Environmental Research (UFZ), Halle (Saale), Germany
- 3German Centre for Integrative Biodiversity Research (iDiv) Halle–Jena–Leipzig, Leipzig, Germany
| | - Thomas Clavel
- Functional Microbiome Research Group, Institute of Medical Microbiology, RWTH University Hospital, Aachen, Germany
| | - Alice Carolyn McHardy
- Computational Biology of Infection Research, Helmholtz Centre for Infection Research, Braunschweig, Germany
- Braunschweig Integrated Centre of Systems Biology (BRICS), Technische Universität Braunschweig, Braunschweig, Germany
- German Center for Infection Research (DZIF), Hannover-Braunschweig site, Hannover, Germany
- Cluster of Excellence RESIST (EXC2155), Hannover Medical School, Hannover, Germany
| | - Fernando Meyer
- Computational Biology of Infection Research, Helmholtz Centre for Infection Research, Braunschweig, Germany
- Braunschweig Integrated Centre of Systems Biology (BRICS), Technische Universität Braunschweig, Braunschweig, Germany
| | | | - Jörg Overmann
- Leibniz Institute DSMZ German Collection of Microorganisms and Cell Cultures, Braunschweig, Germany
- Technical University of Braunschweig, Braunschweig, Germany
| | - Bärbel Stecher
- Max Von Pettenkofer Institute of Hygiene and Medical Microbiology, Faculty of Medicine, LMU Munich, Munich, Germany
- German Center for Infection Research (DZIF), Munich, Germany
| | - Angela Sessitsch
- Bioresources Unit, AIT Austrian Institute of Technology, Tulln, Austria
| | | | - Gabriele Berg
- Institute of Environmental Biotechnology, Graz University of Technology, Graz, Austria
- Leibniz-Institute for Agricultural Engineering Potsdam (ATB), Potsdam, Germany
- University of Potsdam, Potsdam, Germany
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29
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Koorakula R, Ghanbari M, Schiavinato M, Wegl G, Dohm JC, Domig KJ. Storage media and RNA extraction approaches substantially influence the recovery and integrity of livestock fecal microbial RNA. PeerJ 2022; 10:e13547. [PMID: 35694379 PMCID: PMC9186325 DOI: 10.7717/peerj.13547] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2021] [Accepted: 05/16/2022] [Indexed: 01/17/2023] Open
Abstract
Background There is growing interest in understanding gut microbiome dynamics, to increase the sustainability of livestock production systems and to better understand the dynamics that regulate antibiotic resistance genes (i.e., the resistome). High-throughput sequencing of RNA transcripts (RNA-seq) from microbial communities (metatranscriptome) allows an unprecedented opportunity to analyze the functional and taxonomical dynamics of the expressed microbiome and emerges as a highly informative approach. However, the isolation and preservation of high-quality RNA from livestock fecal samples remains highly challenging. This study aimed to determine the impact of the various sample storage and RNA extraction strategies on the recovery and integrity of microbial RNA extracted from selected livestock (chicken and pig) fecal samples. Methods Fecal samples from pigs and chicken were collected from conventional slaughterhouses. Two different storage buffers were used at two different storage temperatures. The extraction of total RNA was done using four different commercially available kits and RNA integrity/quality and concentration were measured using a Bioanalyzer 2100 system with RNA 6000 Nano kit (Agilent, Santa Clara, CA, USA). In addition, RT-qPCR was used to assess bacterial RNA quality and the level of host RNA contamination. Results The quantity and quality of RNA differed by sample type (i.e., either pig or chicken) and most significantly by the extraction kit, with differences in the extraction method resulting in the least variability in pig feces samples and the most variability in chicken feces. Considering a tradeoff between the RNA yield and the RNA integrity and at the same time minimizing the amount of host RNA in the sample, a combination of storing the fecal samples in RNALater at either 4 °C (for 24 h) or -80 °C (up to 2 weeks) with extraction with PM kit (RNEasy Power Microbiome Kit) had the best performance for both chicken and pig samples. Conclusion Our findings provided a further emphasis on using a consistent methodology for sample storage, duration as well as a compatible RNA extraction approach. This is crucial as the impact of these technical steps can be potentially large compared with the real biological variability to be explained in microbiome and resistome studies.
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Affiliation(s)
- Raju Koorakula
- University of Natural Resources and Life Sciences, Vienna, Department of Food Science and Technology, Institute of Food Science, Vienna, Austria
- Competence Centre for Feed and Food Quality, Safety and Innovation (FFoQSI), Tulln an der Donau, Lower Austria, Austria
| | | | - Matteo Schiavinato
- University of Natural Resources and Life Sciences, Vienna, Department of Biotechnology, Institute of Computational Biology, Vienna, Austria
| | | | - Juliane C. Dohm
- University of Natural Resources and Life Sciences, Vienna, Department of Biotechnology, Institute of Computational Biology, Vienna, Austria
| | - Konrad J. Domig
- University of Natural Resources and Life Sciences, Vienna, Department of Food Science and Technology, Institute of Food Science, Vienna, Austria
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Agostinetto G, Bozzi D, Porro D, Casiraghi M, Labra M, Bruno A. SKIOME Project: a curated collection of skin microbiome datasets enriched with study-related metadata. Database (Oxford) 2022; 2022:6586378. [PMID: 35576001 PMCID: PMC9216470 DOI: 10.1093/database/baac033] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/08/2021] [Revised: 02/25/2022] [Accepted: 05/09/2022] [Indexed: 04/07/2023]
Abstract
Large amounts of data from microbiome-related studies have been (and are currently being) deposited on international public databases. These datasets represent a valuable resource for the microbiome research community and could serve future researchers interested in integrating multiple datasets into powerful meta-analyses. However, this huge amount of data lacks harmonization and it is far from being completely exploited in its full potential to build a foundation that places microbiome research at the nexus of many subdisciplines within and beyond biology. Thus, it urges the need for data accessibility and reusability, according to findable, accessible, interoperable and reusable (FAIR) principles, as supported by National Microbiome Data Collaborative and FAIR Microbiome. To tackle the challenge of accelerating discovery and advances in skin microbiome research, we collected, integrated and organized existing microbiome data resources from human skin 16S rRNA amplicon-sequencing experiments. We generated a comprehensive collection of datasets, enriched in metadata, and organized this information into data frames ready to be integrated into microbiome research projects and advanced post-processing analyses, such as data science applications (e.g. machine learning). Furthermore, we have created a data retrieval and curation framework built on three different stages to maximize the retrieval of datasets and metadata associated with them. Lastly, we highlighted some caveats regarding metadata retrieval and suggested ways to improve future metadata submissions. Overall, our work resulted in a curated skin microbiome datasets collection accompanied by a state-of-the-art analysis of the last 10 years of the skin microbiome field. Database URL: https://github.com/giuliaago/SKIOMEMetadataRetrieval.
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Affiliation(s)
- Giulia Agostinetto
- *Corresponding author: Giulia Agostinetto. E-mail: and Antonia Bruno. Tel: +0039 0264483413; E-mail:
| | | | - Danilo Porro
- Department of Biotechnology and Biosciences, University of Milano-Bicocca, Piazza della Scienza, 2, Milan 20126, Italy
- Institute of Molecular Bioimaging and Physiology (IBFM), National Research Council (CNR), via Fratelli Cervi, 93, Segrate (MI) 20054, Italy
| | - Maurizio Casiraghi
- Department of Biotechnology and Biosciences, University of Milano-Bicocca, Piazza della Scienza, 2, Milan 20126, Italy
| | - Massimo Labra
- Department of Biotechnology and Biosciences, University of Milano-Bicocca, Piazza della Scienza, 2, Milan 20126, Italy
| | - Antonia Bruno
- *Corresponding author: Giulia Agostinetto. E-mail: and Antonia Bruno. Tel: +0039 0264483413; E-mail:
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31
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Su W, Du Y, Lian F, Wu H, Zhang X, Yang W, Duan Y, Pan Y, Liu W, Wu A, Zhao B, Wu C, Wu S. Standards for Collection, Preservation, and Transportation of Fecal Samples in TCM Clinical Trials. Front Cell Infect Microbiol 2022; 12:783682. [PMID: 35521221 PMCID: PMC9065286 DOI: 10.3389/fcimb.2022.783682] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/26/2021] [Accepted: 03/28/2022] [Indexed: 12/21/2022] Open
Abstract
Background Unlike chemical drugs with a single or a few kinds of active compounds, traditional Chinese medicines (TCMs)uses herbal formulas composed of numerous kinds of chemical constituents. Therefore, TCM clinical trials require unique and stricter standards for collecting, preserving, and transporting fecal samples than those used for chemical drugs. Unfortunately, there are no special standards for processing fecal samples in TCM clinical trials. Methods We invited interdisciplinary experts within TCM clinical trials and gut microbiome research to help formulate this standard. After more than a year's in-depth discussion and amendments, we achieved a standard via expert interviews, literature research, questionnaire surveys, and public opinion solicitation. This standard has been reviewed and approved by the Standards Office of China of the Association of Chinese medicine. Results We established a sample information processing method prior to TCM clinical sample collection, which is adapted to the unique features of TCM. The method formulates detailed processing requirements for TCM information in addition to the factors that may disturb the gut microbiome. We also constructed a set of methods for collecting, preserving, and transporting fecal samples that meet the characteristics of TCM. These methods formulate detailed operating specifications on the collection approaches, storage conditions, transportation requirements, and management of fecal samples. Conclusions This standard guides the information processing prior to sample collection and the standard operating procedures for the collection, preservation, and transportation of fecal samples in TCM clinical trials, which also can be used as a reference by clinicians and researchers in modern medicines.
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Affiliation(s)
- Wenquan Su
- Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, China
| | - Yawei Du
- Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, China
| | - Fengmei Lian
- Department of Endocrinology, Guang’anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, China
| | - Hui Wu
- The First Affiliated Hospital, Guangzhou University of Chinese Medicine, Guangzhou, China
| | - Xinrong Zhang
- Fangshan Hospital, Beijing University of Chinese Medicine, Beijing, China
| | - Wenli Yang
- Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, China
| | - Yunfeng Duan
- Institute of Microbiology, Chinese Academy of Sciences, Beijing, China
| | - Yuanming Pan
- The 7th Medical Center, Chinese People’s Liberation Army General Hospital, Beijing, China
| | - Weijng Liu
- Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, China
| | - Aiming Wu
- Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, China
| | - Bowen Zhao
- Beijing QuantiHealth Technology Co, Ltd, Beijing, China
| | - Chongming Wu
- School of Chinese Materia Medica, Tianjin University of Traditional Chinese Medicine, Tianjin, China
| | - Shengxian Wu
- Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, China
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32
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Broderick NA, Nagy L. Bacteria may be in the liver, but the jury is still out. J Clin Invest 2022; 132:158999. [PMID: 35426373 PMCID: PMC9012281 DOI: 10.1172/jci158999] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022] Open
Abstract
A fundamental and highly contested issue in microbiome research is whether internal organs such as the liver, brain, placenta, pancreas, and others are sterile and privileged or harbor a detectable and functional microbial biomass. In this issue of the JCI, Leinwand, Paul, et al. addressed this question using an array of diverse techniques and reported that normal healthy liver possesses a microbiome that is selectively recruited from the gut. They further showed that liver-enriched microbes contributed to shaping the immune network of this organ. Here, we attempt to put their findings into the context of other organs, discuss the technical challenges of defining such microbial communities, and provide some perspective about the road ahead for the field.
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Affiliation(s)
- Nichole A. Broderick
- Department of Biology, Johns Hopkins University, Krieger School of Arts and Sciences, Baltimore, Maryland, USA
| | - Laszlo Nagy
- Departments of Medicine and Biological Chemistry, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
- Institute for Fundamental Biomedical Research, Johns Hopkins All Children’s Hospital, St. Petersburg, Florida, USA
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Maki KA, Alkhatib J, Butera G, Wallen GR. Examining Relationships between Sleep Physiology and the Gut Microbiome in Pre-Clinical and Translational Research: A Scoping Review Protocol (Preprint). JMIR Res Protoc 2022; 11:e38605. [PMID: 35727619 PMCID: PMC9257612 DOI: 10.2196/38605] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/08/2022] [Revised: 05/13/2022] [Accepted: 06/05/2022] [Indexed: 11/13/2022] Open
Abstract
Background Objective Methods Results Conclusions Trial Registration International Registered Report Identifier (IRRID)
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Affiliation(s)
- Katherine Anne Maki
- Translational Biobehavioral and Health Disparities Branch, National Institutes of Health Clinical Center, Bethesda, MD, United States
| | - Jenna Alkhatib
- Translational Biobehavioral and Health Disparities Branch, National Institutes of Health Clinical Center, Bethesda, MD, United States
| | - Gisela Butera
- Division of Library Services, National Institutes of Health, Bethesda, MD, United States
| | - Gwenyth Reid Wallen
- Translational Biobehavioral and Health Disparities Branch, National Institutes of Health Clinical Center, Bethesda, MD, United States
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Characterization and Demonstration of Mock Communities as Control Reagents for Accurate Human Microbiome Community Measurements. Microbiol Spectr 2022; 10:e0191521. [PMID: 35234490 PMCID: PMC8941912 DOI: 10.1128/spectrum.01915-21] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/27/2022] Open
Abstract
Standardization and quality assurance of microbiome community analysis by high-throughput DNA sequencing require widely accessible and well-characterized reference materials. Here, we report on newly developed DNA and whole-cell mock communities to serve as control reagents for human gut microbiota measurements by shotgun metagenomics and 16S rRNA gene amplicon sequencing. The mock communities were formulated as near-even blends of up to 20 bacterial species prevalent in the human gut, span a wide range of genomic guanine-cytosine (GC) contents, and include multiple strains with Gram-positive type cell walls. Through a collaborative study, we carefully characterized the mock communities by shotgun metagenomics, using previously developed standardized protocols for DNA extraction and sequencing library construction. Further, we validated fitness of the mock communities for revealing technically meaningful differences among protocols for DNA extraction and metagenome/16S rRNA gene amplicon library construction. Finally, we used the mock communities to reveal varying performance of metagenome-based taxonomic profilers and the impact of trimming and filtering of sequencing reads on observed species profiles. The latter showed that aggressive preprocessing of reads may result in substantial GC-dependent bias and should thus be carefully evaluated to minimize unintended effects on species abundances. Taken together, the mock communities are expected to support a myriad of applications that rely on well-characterized control reagents, ranging from evaluation and optimization of methods to assessment of reproducibility in interlaboratory studies and routine quality control. IMPORTANCE Application of high-throughput DNA sequencing has greatly accelerated human microbiome research and its translation into new therapeutic and diagnostic capabilities. Microbiome community analyses results can, however, vary considerably across studies or laboratories, and establishment of measurement standards to improve accuracy and reproducibility has become a priority. The here-developed mock communities, which are available from the NITE Biological Resource Center (NBRC) at the National Institute of Technology and Evaluation (NITE, Japan), provide well-characterized control reagents that allow users to judge the accuracy of their measurement results. Widespread and consistent adoption of the mock communities will improve reproducibility and comparability of microbiome community analyses, thereby supporting and accelerating human microbiome research and development.
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Linehan K, Dempsey EM, Ryan CA, Ross RP, Stanton C. First encounters of the microbial kind: perinatal factors direct infant gut microbiome establishment. MICROBIOME RESEARCH REPORTS 2022; 1:10. [PMID: 38045649 PMCID: PMC10688792 DOI: 10.20517/mrr.2021.09] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 12/02/2021] [Revised: 12/28/2021] [Accepted: 01/11/2022] [Indexed: 12/05/2023]
Abstract
The human gut microbiome harbors a diverse range of microbes that play a fundamental role in the health and well-being of their host. The early-life microbiome has a major influence on human development and long-term health. Perinatal factors such as maternal nutrition, antibiotic use, gestational age and mode of delivery influence the initial colonization, development, and function of the neonatal gut microbiome. The perturbed early-life gut microbiome predisposes infants to diseases in early and later life. Understanding how perinatal factors guide and shape the composition of the early-life microbiome is essential to improving infant health. The following review provides a synopsis of perinatal factors with the most decisive influences on initial microbial colonization of the infant gut.
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Affiliation(s)
- Kevin Linehan
- Teagasc Food Research Centre, Moorepark, Fermoy, Co. Cork P61 C996, Ireland
- APC Microbiome Ireland, Biosciences Institute, University College Cork, Lee Maltings, Cork, Cork T12 YT20, Ireland
- School of Microbiology, University College Cork, Cork T12 YN60, Ireland
| | - Eugene M. Dempsey
- APC Microbiome Ireland, Biosciences Institute, University College Cork, Lee Maltings, Cork, Cork T12 YT20, Ireland
- Department of Paediatrics & Child Health and INFANT Centre, University College Cork, Cork T12 YN60, Ireland
| | - C. Anthony Ryan
- APC Microbiome Ireland, Biosciences Institute, University College Cork, Lee Maltings, Cork, Cork T12 YT20, Ireland
- Department of Paediatrics & Child Health and INFANT Centre, University College Cork, Cork T12 YN60, Ireland
| | - R. Paul Ross
- APC Microbiome Ireland, Biosciences Institute, University College Cork, Lee Maltings, Cork, Cork T12 YT20, Ireland
- School of Microbiology, University College Cork, Cork T12 YN60, Ireland
| | - Catherine Stanton
- Teagasc Food Research Centre, Moorepark, Fermoy, Co. Cork P61 C996, Ireland
- APC Microbiome Ireland, Biosciences Institute, University College Cork, Lee Maltings, Cork, Cork T12 YT20, Ireland
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Billington C, Kingsbury JM, Rivas L. Metagenomics Approaches for Improving Food Safety: A Review. J Food Prot 2022; 85:448-464. [PMID: 34706052 DOI: 10.4315/jfp-21-301] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/02/2021] [Accepted: 10/21/2021] [Indexed: 11/11/2022]
Abstract
ABSTRACT Advancements in next-generation sequencing technology have dramatically reduced the cost and increased the ease of microbial whole genome sequencing. This approach is revolutionizing the identification and analysis of foodborne microbial pathogens, facilitating expedited detection and mitigation of foodborne outbreaks, improving public health outcomes, and limiting costly recalls. However, next-generation sequencing is still anchored in the traditional laboratory practice of the selection and culture of a single isolate. Metagenomic-based approaches, including metabarcoding and shotgun and long-read metagenomics, are part of the next disruptive revolution in food safety diagnostics and offer the potential to directly identify entire microbial communities in a single food, ingredient, or environmental sample. In this review, metagenomic-based approaches are introduced and placed within the context of conventional detection and diagnostic techniques, and essential considerations for undertaking metagenomic assays and data analysis are described. Recent applications of the use of metagenomics for food safety are discussed alongside current limitations and knowledge gaps and new opportunities arising from the use of this technology. HIGHLIGHTS
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Affiliation(s)
- Craig Billington
- Institute of Environmental Science and Research, 27 Creyke Road, Ilam, Christchurch 8041, New Zealand
| | - Joanne M Kingsbury
- Institute of Environmental Science and Research, 27 Creyke Road, Ilam, Christchurch 8041, New Zealand
| | - Lucia Rivas
- Institute of Environmental Science and Research, 27 Creyke Road, Ilam, Christchurch 8041, New Zealand
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Koutoukidis DA, Jebb SA, Zimmerman M, Otunla A, Henry JA, Ferrey A, Schofield E, Kinton J, Aveyard P, Marchesi JR. The association of weight loss with changes in the gut microbiota diversity, composition, and intestinal permeability: a systematic review and meta-analysis. Gut Microbes 2022; 14:2020068. [PMID: 35040746 PMCID: PMC8796717 DOI: 10.1080/19490976.2021.2020068] [Citation(s) in RCA: 40] [Impact Index Per Article: 20.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/07/2023] Open
Abstract
The gut microbiome may be a mediator between obesity and health outcomes. However, it is unclear how intentional weight loss changes the gut microbiota and intestinal permeability. We aimed to systematically review and quantify this association. We searched Medline, Embase, CINAHL, Cochrane databases, and trial registries until June 2020 (PROSPERO: CRD42020205292). We included trials of weight loss interventions (energy-restricted diets, pharmacotherapy, bariatric surgery) reporting on the microbiome. Two reviewers independently completed screening, extraction, and risk assessment with the ROBINS-I tool. Pooled standardized mean differences (SMDs) were obtained from random-effects meta-analyses. Forty-seven trials with 1,916 participants (81% female) and a median follow-up of 6 months (range: 2-24) were included. Based on imprecise evidence but with fairly consistent direction of effect, weight loss was associated with a statistically significant increase in α-diversity [SMD: 0.4 (95% CI: 0.2, 0.6], p < .0001, I2 = 70%, n = 30 studies) and a statistically significant reduction in intestinal permeability [SMD: -0.7 (95% CI: -0.9, -0.4), p < .0001, I2 = 83%, n = 17 studies]. Each kg of weight loss was associated with a 0.012 (95% CI: 0.0003, 0.024, p = .045) increase in α-diversity and a -0.017 (95% CI: -0.034, -0.001, p = .038) reduction in intestinal permeability. There was clear evidence of increases in the relative abundance of Akkermansia, but no clear evidence of changes in individual phyla, species, or fecal short-chain fatty acids. Restricting the analyses to the studies with lower risk of bias did not materially alter the estimates. Increasing weight loss is positively associated with increases in gut microbiota α-diversity and reductions in intestinal permeability.
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Affiliation(s)
- Dimitrios A Koutoukidis
- Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK,NIHR Oxford Biomedical Research Centre, Oxford University Hospitals NHS Foundation Trust, Oxford, UK,CONTACT Dimitrios A Koutoukidis University of OxfordOxfordUnited Kingdom
| | - Susan A Jebb
- Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK,NIHR Oxford Biomedical Research Centre, Oxford University Hospitals NHS Foundation Trust, Oxford, UK
| | - Matthew Zimmerman
- Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK
| | - Afolarin Otunla
- Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK
| | - J. Aaron Henry
- Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK
| | - Anne Ferrey
- Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK
| | - Ella Schofield
- Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK
| | - Jade Kinton
- Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK
| | - Paul Aveyard
- Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK,NIHR Oxford Biomedical Research Centre, Oxford University Hospitals NHS Foundation Trust, Oxford, UK
| | - Julian R. Marchesi
- Department of Metabolism, Digestion and Reproduction, Imperial College London, London, UK
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Kim M, Huda MN, Bennett BJ. Sequence meets function-microbiota and cardiovascular disease. Cardiovasc Res 2022; 118:399-412. [PMID: 33537709 PMCID: PMC8803075 DOI: 10.1093/cvr/cvab030] [Citation(s) in RCA: 20] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/31/2020] [Revised: 11/20/2020] [Accepted: 01/29/2021] [Indexed: 02/07/2023] Open
Abstract
The discovery that gut-microbiota plays a profound role in human health has opened a new avenue of basic and clinical research. Application of ecological approaches where the bacterial 16S rRNA gene is queried has provided a number of candidate bacteria associated with coronary artery disease and hypertension. We examine the associations between gut microbiota and a variety of cardiovascular disease (CVD) including atherosclerosis, coronary artery disease, and blood pressure. These approaches are associative in nature and there is now increasing interest in identifying the mechanisms underlying these associations. We discuss three potential mechanisms including: gut permeability and endotoxemia, increased immune system activation, and microbial derived metabolites. In addition to discussing these potential mechanisms we highlight current studies manipulating the gut microbiota or microbial metabolites to move beyond sequence-based association studies. The goal of these mechanistic studies is to determine the mode of action by which the gut microbiota may affect disease susceptibility and severity. Importantly, the gut microbiota appears to have a significant effect on host metabolism and CVD by producing metabolites entering the host circulatory system such as short-chain fatty acids and trimethylamine N-Oxide. Therefore, the intersection of metabolomics and microbiota research may yield novel targets to reduce disease susceptibility. Finally, we discuss approaches to demonstrate causality such as specific diet changes, inhibition of microbial pathways, and fecal microbiota transplant.
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Affiliation(s)
- Myungsuk Kim
- Obesity and Metabolism Research Unit, USDA, ARS, Western Human Nutrition Research Center, Davis, CA, USA
- Department of Nutrition, University of California Davis, Davis, CA, USA
| | - Md Nazmul Huda
- Obesity and Metabolism Research Unit, USDA, ARS, Western Human Nutrition Research Center, Davis, CA, USA
- Department of Nutrition, University of California Davis, Davis, CA, USA
| | - Brian J Bennett
- Obesity and Metabolism Research Unit, USDA, ARS, Western Human Nutrition Research Center, Davis, CA, USA
- Department of Nutrition, University of California Davis, Davis, CA, USA
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Sun Z, Huang S, Zhu P, Tzehau L, Zhao H, Lv J, Zhang R, Zhou L, Niu Q, Wang X, Zhang M, Jing G, Bao Z, Liu J, Wang S, Xu J. Species-resolved sequencing of low-biomass or degraded microbiomes using 2bRAD-M. Genome Biol 2022; 23:36. [PMID: 35078506 PMCID: PMC8789378 DOI: 10.1186/s13059-021-02576-9] [Citation(s) in RCA: 35] [Impact Index Per Article: 17.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2021] [Accepted: 12/14/2021] [Indexed: 12/20/2022] Open
Abstract
AbstractMicrobiome samples with low microbial biomass or severe DNA degradation remain challenging for amplicon-based or whole-metagenome sequencing approaches. Here, we introduce 2bRAD-M, a highly reduced and cost-effective strategy which only sequences ~ 1% of metagenome and can simultaneously produce species-level bacterial, archaeal, and fungal profiles. 2bRAD-M can accurately generate species-level taxonomic profiles for otherwise hard-to-sequence samples with merely 1 pg of total DNA, high host DNA contamination, or severely fragmented DNA from degraded samples. Tests of 2bRAD-M on various stool, skin, environmental, and clinical FFPE samples suggest a successful reconstruction of comprehensive, high-resolution microbial profiles.
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40
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Servetas SL, Daschner PJ, Guyard C, Thomas V, Affagard H, Sergaki C, Sokol H, Wargo JA, Wu GD, Sabot P. Evolution of FMT – From early clinical to standardized treatments. Biologicals 2022; 76:31-35. [DOI: 10.1016/j.biologicals.2022.01.004] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/09/2021] [Revised: 01/09/2022] [Accepted: 01/10/2022] [Indexed: 01/22/2023] Open
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Kang Y, Ji X, Guo L, Xia H, Yang X, Xie Z, Shi X, Wu R, Feng D, Wang C, Chen M, Zhang W, Wei H, Guan Y, Ye K, Zhao G. Cerebrospinal Fluid from Healthy Pregnant Women Does Not Harbor a Detectable Microbial Community. Microbiol Spectr 2021; 9:e0076921. [PMID: 34908504 PMCID: PMC8672898 DOI: 10.1128/spectrum.00769-21] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/08/2021] [Accepted: 11/10/2021] [Indexed: 12/21/2022] Open
Abstract
Cerebrospinal fluid (CSF) circulating in the human central nervous system has long been considered aseptic in healthy individuals, because normally, the blood-brain barrier can protect against microbial invasions. However, this dogma has been called into question by several reports that microbes were identified in human brains, raising the question of whether there is a microbial community in the CSF of healthy individuals without neurological diseases. Here, we collected CSF samples and other samples, including one-to-one matched oral and skin swab samples (positive controls), from 23 pregnant women aged between 23 and 40 years. Normal saline samples (negative controls), sterile swabs, and extraction buffer samples (contamination controls) were also collected. Twelve of the CSF specimens were also used to evaluate the physiological activities of detected microbes. Metagenomic and metatranscriptomic sequencing was performed in these 116 specimens. A total of 620 nonredundant microbes were detected, which were dominated by bacteria (74.6%) and viruses (24.2%), while in CSF samples, metagenomic sequencing found only 26 nonredundant microbes, including one eukaryote, four bacteria, and 21 viruses (mostly bacteriophages). The beta diversity of microbes compared between CSF metagenomic samples and other types of samples (except negative controls) was significantly different from that of the CSF self-comparison. In addition, there was no active or viable microbe in the matched metagenomic and metatranscriptomic sequencing of CSF specimens after subtracting those also found in normal saline, DNA extraction buffer, and skin swab specimens. In conclusion, our results showed no strong evidence of a colonized microbial community present in the CSF of healthy individuals. IMPORTANCE The microbiome is prevalent throughout human bodies, with profound health implications. However, it remains unclear whether it is present and active in human CSF, which has been long considered aseptic due to the blood-brain barrier. Here, we applied unbiased metagenomic and metatranscriptomic sequencing to detect the presence of a microbiome in CSF collected from 23 pregnant women with matched controls. Analysis of 116 specimens found no strong evidence to support the presence of a colonized microbiome in CSF. Our findings will strengthen our understanding of the internal environment of the CSF in healthy people, which has strong implications for human health, especially for neurological infections and disorders, and will help further disease diagnostics, prevention, and therapeutics in clinical settings.
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Affiliation(s)
- Yongyong Kang
- Genome Institute, The First Affiliated Hospital of Xi’an Jiaotong University, Xi’an, China
- School of Automation Science and Engineering, Faculty of Electronic and Information Engineering, Xi’an Jiaotong University, Xi’an, China
- Center for Mathematical Medical, The First Affiliated Hospital of Xi’an Jiaotong University, Xi’an, China
| | - Xinchao Ji
- Department of Neurology, Xi’an No. 3 Hospital, The Affiliated Hospital of Northwest University, Xi’an, China
| | - Li Guo
- School of Automation Science and Engineering, Faculty of Electronic and Information Engineering, Xi’an Jiaotong University, Xi’an, China
- MOE Key Laboratory for Intelligent Networks & Network Security, Faculty of Electronic and Information Engineering, Xi’an Jiaotong University, Xi’an, China
- School of Life Science and Technology, Xi’an Jiaotong University, Xi’an, China
| | - Han Xia
- School of Automation Science and Engineering, Faculty of Electronic and Information Engineering, Xi’an Jiaotong University, Xi’an, China
- Hugobiotech Co., Ltd., Beijing, China
| | - Xiaofei Yang
- Genome Institute, The First Affiliated Hospital of Xi’an Jiaotong University, Xi’an, China
- MOE Key Laboratory for Intelligent Networks & Network Security, Faculty of Electronic and Information Engineering, Xi’an Jiaotong University, Xi’an, China
- School of Computer Science and Technology, Faculty of Electronic and Information Engineering, Xi’an Jiaotong University, Xi’an, China
| | - Zhen Xie
- School of Medicine, Northwest University, Xi’an, China
| | - Xiaodan Shi
- Department of Neurology, Xijing Hospital, The Fourth Military Medical University, Xi’an, China
| | - Rui Wu
- Department of Neurology, Xijing Hospital, The Fourth Military Medical University, Xi’an, China
| | - Dongyun Feng
- Department of Neurology, Xijing Hospital, The Fourth Military Medical University, Xi’an, China
| | - Chen Wang
- Department of Anesthesiology, Xijing Hospital, The Fourth Military Medical University, Xi’an, China
| | - Min Chen
- Department of Anesthesiology, Xijing Hospital, The Fourth Military Medical University, Xi’an, China
| | - Wenliang Zhang
- MOE Key Laboratory for Intelligent Networks & Network Security, Faculty of Electronic and Information Engineering, Xi’an Jiaotong University, Xi’an, China
| | - Hong Wei
- MOE Key Laboratory for Intelligent Networks & Network Security, Faculty of Electronic and Information Engineering, Xi’an Jiaotong University, Xi’an, China
| | | | - Kai Ye
- Genome Institute, The First Affiliated Hospital of Xi’an Jiaotong University, Xi’an, China
- School of Automation Science and Engineering, Faculty of Electronic and Information Engineering, Xi’an Jiaotong University, Xi’an, China
- MOE Key Laboratory for Intelligent Networks & Network Security, Faculty of Electronic and Information Engineering, Xi’an Jiaotong University, Xi’an, China
- School of Life Science and Technology, Xi’an Jiaotong University, Xi’an, China
- Center for Mathematical Medical, The First Affiliated Hospital of Xi’an Jiaotong University, Xi’an, China
| | - Gang Zhao
- School of Medicine, Northwest University, Xi’an, China
- Department of Neurology, Xijing Hospital, The Fourth Military Medical University, Xi’an, China
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Liu D, Zhou H, Xu T, Yang Q, Mo X, Shi D, Ai J, Zhang J, Tao Y, Wen D, Tong Y, Ren L, Zhang W, Xie S, Chen W, Xing W, Zhao J, Wu Y, Meng X, Ouyang C, Jiang Z, Liang Z, Tan H, Fang Y, Qin N, Guan Y, Gai W, Xu S, Wu W, Zhang W, Zhang C, Wang Y. Multicenter assessment of shotgun metagenomics for pathogen detection. EBioMedicine 2021; 74:103649. [PMID: 34814051 PMCID: PMC8608867 DOI: 10.1016/j.ebiom.2021.103649] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/15/2021] [Revised: 10/11/2021] [Accepted: 10/11/2021] [Indexed: 12/15/2022] Open
Abstract
BACKGROUND Shotgun metagenomics has been used clinically for diagnosing infectious diseases. However, most technical assessments have been limited to individual sets of reference standards, experimental workflows, and laboratories. METHODS A reference panel and performance metrics were designed and used to examine the performance of shotgun metagenomics at 17 laboratories in a coordinated collaborative study. We comprehensively assessed the reliability, key performance determinants, reproducibility, and quantitative potential. FINDINGS Assay performance varied significantly across sites and microbial classes, with a read depth of 20 millions as a generally cost-efficient assay setting. Results of mapped reads by shotgun metagenomics could indicate relative and intra-site (but not absolute or inter-site) microbial abundance. INTERPRETATION Assay performance was significantly impacted by the microbial type, the host context, and read depth, which emphasizes the importance of these factors when designing reference reagents and benchmarking studies. Across sites, workflows and platforms, false positive reporting and considerable site/library effects were common challenges to the assay's accuracy and quantifiability. Our study also suggested that laboratory-developed shotgun metagenomics tests for pathogen detection should aim to detect microbes at 500 CFU/mL (or copies/mL) in a clinically relevant host context (10^5 human cells/mL) within a 24h turn-around time, and with an efficient read depth of 20M. FUNDING This work was supported by National Science and Technology Major Project of China (2018ZX10102001).
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Affiliation(s)
- Donglai Liu
- National Institutes for Food and Drug Control, Beijing 100050, China
| | - Haiwei Zhou
- National Institutes for Food and Drug Control, Beijing 100050, China
| | - Teng Xu
- Key Laboratory of Animal Gene Editing and Animal Cloning in Yunnan Province and College of Veterinary Medicine, Yunnan Agricultural University, Kunming 650201, China
| | - Qiwen Yang
- Department of Clinical Laboratory, Peking Union Medical College Hospital, Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing 100730, China
| | - Xi Mo
- The Laboratory of Pediatric Infectious Diseases, Pediatric Translational Medicine Institute, Shanghai Children's Medical Center, School of Medicine, Shanghai Jiao Tong University, Shanghai 200127, China
| | - Dawei Shi
- National Institutes for Food and Drug Control, Beijing 100050, China
| | - Jingwen Ai
- Department of Infectious Diseases, Huashan Hospital affiliated to Fudan University, Shanghai 200040, China
| | - Jingjia Zhang
- Department of Clinical Laboratory, Peking Union Medical College Hospital, Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing 100730, China
| | - Yue Tao
- The Laboratory of Pediatric Infectious Diseases, Pediatric Translational Medicine Institute, Shanghai Children's Medical Center, School of Medicine, Shanghai Jiao Tong University, Shanghai 200127, China
| | - Donghua Wen
- Department of Laboratory Medicine, Shanghai East Hospital, Tongji University School of Medicine, Shanghai 200123, PR China
| | - Yigang Tong
- Beijing Advanced Innovation Center for Soft Matter Science and Engineering (BAIC-SM), College of Life Science and Technology, Beijing University of Chemical Technology. Beijing 100029
| | - Lili Ren
- NHC Key Laboratory of Systems Biology of Pathogens, Institute of Pathogen Biology, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100730, PR China; Key Laboratory of Respiratory Disease Pathogenomics, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100730, PR China
| | - Wen Zhang
- State Key Laboratory for Infectious Disease Prevention and Control, Chinese Center for Disease Control and Prevention, National Institute for Communicable Disease Control and Prevention, Beijing 102206, China
| | - Shumei Xie
- Vision Medicals Center for Infectious Diseases, Guangzhou, Guangdong 510000, China
| | - Weijun Chen
- BGI PathoGenesis Pharmaceutical Technology, BGI-Shenzhen, Shenzhen 518083, China
| | - Wanli Xing
- School of Medicine Tsinghua University, Beijing, China; CapitalBio Technology Co., Ltd., Yizhuang Biomedical Park Beijing, China
| | - Jinyin Zhao
- Dalian GenTalker Clinical Laboratory, Dalian 116635, China
| | - Yilan Wu
- Guangzhou Sagene Biotech Co., Ltd., Guangzhou, China
| | - Xianfa Meng
- Guangzhou Kingmed Diagnostics, Guangzhou, Guangdong 510330, China
| | - Chuan Ouyang
- Hangzhou MatriDx Biotechnology Co., Ltd, Hangzhou, China
| | - Zhi Jiang
- Genskey Medical Technology, Co., Ltd., Beijing 102206, China
| | - Zhikun Liang
- Guangzhou Darui Biotechnology, Co., Ltd., Guangzhou 510663, China
| | - Haiqin Tan
- Hangzhou IngeniGen XunMinKang Biotechnology Co., Ltd., Hangzhou 311121, China
| | - Yuan Fang
- Dinfectome Inc, Shanghai 201321, China
| | - Nan Qin
- Realbio Genomics Institute, Shanghai 201114, China
| | | | - Wei Gai
- WillingMed Technology Beijing Co., Ltd., Beijing, China
| | - Sihong Xu
- National Institutes for Food and Drug Control, Beijing 100050, China.
| | - Wenjuan Wu
- Department of Laboratory Medicine, Shanghai East Hospital, Tongji University School of Medicine, Shanghai 200123, PR China.
| | - Wenhong Zhang
- Department of Infectious Diseases, Huashan Hospital affiliated to Fudan University, Shanghai 200040, China.
| | - Chuntao Zhang
- National Institutes for Food and Drug Control, Beijing 100050, China.
| | - Youchun Wang
- National Institutes for Food and Drug Control, Beijing 100050, China.
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Tarazi M, Jamel S, Mullish BH, Markar SR, Hanna GB. Impact of gastrointestinal surgery upon the gut microbiome: A systematic review. Surgery 2021; 171:1331-1340. [PMID: 34809971 DOI: 10.1016/j.surg.2021.10.014] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/16/2021] [Revised: 10/01/2021] [Accepted: 10/04/2021] [Indexed: 12/19/2022]
Abstract
BACKGROUND There is evidence from preclinical models that the gut microbiome may impact outcomes from gastrointestinal surgery, and that surgery may alter the gut microbiome. However, the extent to which gastrointestinal surgery modulates the gut microbiome in clinical practice is currently poorly defined. This systematic review aims to evaluate the changes observed in the gut microbiome after gastrointestinal surgery. METHODS A systematic review and meta-analysis were conducted according to the PRISMA guidelines by screening EMBASE, MEDLINE/PubMed, Web of Science, and CENTRAL for comparative studies meeting the predetermined inclusion criteria. The primary outcome was the difference between pre and postoperative bacterial taxonomic composition and diversity metrics among patients receiving gastrointestinal surgery. RESULTS In total, 33 studies were identified including 6 randomized controlled trials and 27 prospective cohort studies reporting a total of 968 patients. Gastrointestinal surgery was associated with an increase in α diversity and a shift in β diversity postoperatively. Multiple bacterial taxa were identified to consistently trend toward an increase or decrease postoperatively. A difference in microbiota across geographic provenance was also observed. There was a distinct lack of studies showing correlation with clinical outcomes or performing microbiome functional analysis. Furthermore, there was a lack of standardization in sampling, analytical methodology, and reporting. CONCLUSION This review highlights changes in bacterial taxa associated with gastrointestinal surgery. There is a need for standardization of microbial analysis methods and reporting of results to allow interstudy comparison. Further adequately powered multicenter studies are required to better assess variation in microbial changes and its potential associations with clinical outcomes.
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Affiliation(s)
- Munir Tarazi
- Department of Surgery and Cancer, Imperial College London, UK. https://www.twitter.com/TaraziMunir
| | - Sara Jamel
- Department of Surgery and Cancer, Imperial College London, UK
| | - Benjamin H Mullish
- Division of Digestive Diseases, Department of Metabolism, Digestion, and Reproduction, Faculty of Medicine, Imperial College London, UK. https://www.twitter.com/bhmullish
| | - Sheraz R Markar
- Department of Surgery and Cancer, Imperial College London, UK; Department of Molecular Medicine and Surgery, Karolinska Institutet, Karolinska University Hospital, Stockholm, Sweden. https://www.twitter.com/MarkarSheraz
| | - George B Hanna
- Department of Surgery and Cancer, Imperial College London, UK.
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Scherz V, Greub G, Bertelli C. Building up a clinical microbiota profiling: a quality framework proposal. Crit Rev Microbiol 2021; 48:356-375. [PMID: 34752719 DOI: 10.1080/1040841x.2021.1975642] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/08/2023]
Abstract
Extensive characterization of the human microbiota has revealed promising relationships between microbial composition and health or disease, generating interest in biomarkers derived from microbiota profiling. However, microbiota complexity and technical challenges strongly influencing the results limit the generalization of microbiota profiling and question its clinical utility. In addition, no quality management scheme has been adapted to the specificities of microbiota profiling, notably due to the heterogeneity in methods and results. In this review, we discuss possible adaptation of classical quality management tools routinely used in diagnostic laboratories to microbiota profiling and propose a specific framework. Multiple quality controls are needed to cover all steps, from sampling to data processing. Standard operating procedures, primarily developed for wet lab analyses, must be adapted to the use of bioinformatic tools. Finally, requirements for test validation and proficiency testing must take into account expected discrepancies in results due to the heterogeneity of the processes. The proposed quality management framework should support the implementation of routine microbiota profiling by clinical laboratories to support patient care. Furthermore, its use in research laboratories would improve publication reproducibility as well as transferability of methods and results to routine practice.
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Affiliation(s)
- Valentin Scherz
- Institute of Microbiology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland
| | - Gilbert Greub
- Institute of Microbiology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland
| | - Claire Bertelli
- Institute of Microbiology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland
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45
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Distinct Responses of Rare and Abundant Microbial Taxa to In Situ Chemical Stabilization of Cadmium-Contaminated Soil. mSystems 2021; 6:e0104021. [PMID: 34636665 PMCID: PMC8510535 DOI: 10.1128/msystems.01040-21] [Citation(s) in RCA: 37] [Impact Index Per Article: 12.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/01/2023] Open
Abstract
Soil microorganisms, which intricately link to ecosystem functions, are pivotal for the ecological restoration of heavy metal-contaminated soil. Despite the importance of rare and abundant microbial taxa in maintaining soil ecological function, the taxonomic and functional changes in rare and abundant communities during in situ chemical stabilization of cadmium (Cd)-contaminated soil and their contributions to the restoration of ecosystem functions remain elusive. Here, a 3-year field experiment was conducted to assess the effects of five soil amendments (CaCO3 as well as biochar and rice straw, individually or in combination with CaCO3) on rare and abundant microbial communities. The rare bacterial community exhibited a narrower niche breadth to soil pH and Cd speciation than the abundant community and was more sensitive to environmental changes altered by different soil amendments. However, soil amendments had comparable impacts on rare and abundant fungal communities. The assemblies of rare and abundant bacterial communities were dominated by variable selection and stochastic processes (dispersal limitation and undominated processes), respectively, while assemblies of both rare and abundant fungal communities were governed by dispersal limitation. Changes in soil pH, Cd speciation, and soil organic matter (SOM) by soil amendments may play essential roles in community assembly of rare bacterial taxa. Furthermore, the restored ecosystem multifunctionality by different amendments was closely related to the recovery of specific keystone species, especially rare bacterial taxa (Gemmatimonadaceae and Haliangiaceae) and rare fungal taxa (Ascomycota). Together, our results highlight the distinct responses of rare and abundant microbial taxa to soil amendments and their linkage with ecosystem multifunctionality. IMPORTANCE Understanding the ecological roles of rare and abundant species in the restoration of soil ecosystem functions is crucial to remediation of heavy metal-polluted soil. Our study assessed the efficiencies of five commonly used soil amendments on recovery of ecosystem multifunctionality and emphasized the relative contributions of rare and abundant microbial communities to ecosystem multifunctionality. We found great discrepancies in community composition, assembly, niche breadth, and environmental responses between rare and abundant communities during in situ chemical stabilization of Cd-contaminated soil. Application of different soil amendments triggered recovery of specific key microbial species, which were highly related to ecosystem multifunctionality. Together, our results highlighted the importance of rare bacterial as well as rare and abundant fungal communities underpinning restoration of soil ecosystem multifunctionality during the Cd stabilization process.
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Amos GCA, Sergaki C, Logan A, Iriarte R, Bannaga A, Chandrapalan S, Wellington EMH, Rijpkema S, Arasaradnam RP. Exploring how microbiome signatures change across inflammatory bowel disease conditions and disease locations. Sci Rep 2021; 11:18699. [PMID: 34548500 PMCID: PMC8455643 DOI: 10.1038/s41598-021-96942-z] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2021] [Accepted: 07/19/2021] [Indexed: 12/26/2022] Open
Abstract
Understanding the variables that influence microbiome studies is critical for successful translational research. Inflammatory bowel disease (IBD) is a complex group of diseases that can present at multiple locations within the Gastrointestinal tract. Here, using the FAMISHED study cohort, we aimed to investigate the relationship between IBD condition, IBD disease location, and the microbiome. Signatures of the microbiome, including measures of diversity, taxonomy, and functionality, all significantly differed across the three different IBD conditions, Crohn’s disease (CD), ulcerative colitis (UC), and microscopic colitis (MC). Notably, when stratifying by disease location, patients with CD in the terminal ileum were more similar to healthy controls than patients with CD in the small bowel or colon, however no differences were observed at different disease locations across patients with UC. Change in taxonomic composition resulted in changes in function, with CD at each disease location, UC and MC all having unique functional dysbioses. CD patients in particular had deficiencies in Short-Chain Fatty Acid (SCFA) pathways. Our results demonstrate the complex relationship between IBD and the microbiome and highlight the need for consistent strategies for the stratification of clinical cohorts and downstream analysis to ensure results across microbiome studies and clinical trials are comparable.
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Affiliation(s)
- Gregory C A Amos
- Division of Bacteriology, National Institute for Biological Standards and Control (NIBSC), Blanche Lane, South Mimms, Potters Bar, Hertfordshire, EN6 3QG, UK.
| | - Chrysi Sergaki
- Division of Bacteriology, National Institute for Biological Standards and Control (NIBSC), Blanche Lane, South Mimms, Potters Bar, Hertfordshire, EN6 3QG, UK
| | - Alastair Logan
- Division of Bacteriology, National Institute for Biological Standards and Control (NIBSC), Blanche Lane, South Mimms, Potters Bar, Hertfordshire, EN6 3QG, UK
| | - Rolland Iriarte
- University Hospitals Coventry and Warwickshire, Coventry, CV2 2DX, UK
| | - Ayman Bannaga
- University Hospitals Coventry and Warwickshire, Coventry, CV2 2DX, UK
| | | | | | - Sjoerd Rijpkema
- Division of Bacteriology, National Institute for Biological Standards and Control (NIBSC), Blanche Lane, South Mimms, Potters Bar, Hertfordshire, EN6 3QG, UK
| | - Ramesh P Arasaradnam
- University Hospitals Coventry and Warwickshire, Coventry, CV2 2DX, UK.,Warwick Medical School, University of Warwick, Coventry, CV4 7AL, UK
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Han D, Diao Z, Lai H, Han Y, Xie J, Zhang R, Li J. Multilaboratory assessment of metagenomic next-generation sequencing for unbiased microbe detection. J Adv Res 2021; 38:213-222. [PMID: 35572414 PMCID: PMC9091723 DOI: 10.1016/j.jare.2021.09.011] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/26/2021] [Revised: 09/24/2021] [Accepted: 09/24/2021] [Indexed: 12/12/2022] Open
Abstract
We developed a set of well-defined reference materials, which is very beneficial to monitor problems in mNGS workflows and identify optimal protocols. The high interlaboratory variability in the identification and quantitation of microbes indicates that the current mNGS protocols are in urgent need of standardization and optimization. The detection rate of mNGS for low-concentration microbes (less than 103 cell/ml) is significantly lower than that of microbes with a concentration of 104 cell/ml and higher. Only 56.7% to 83.3% of the laboratories showed a sufficient ability to obtain clear etiological diagnoses for three simulated cases combined with patient information. Addressing laboratory contamination(false positive) is an urgent task.
Introduction Metagenomic next-generation sequencing (mNGS) assay for detecting infectious agents is now in the stage of being translated into clinical practice. With no approved approaches or guidelines available, laboratories adopt customized mNGS assays to detect clinical samples. However, the accuracy, reliability, and problems of these routinely implemented assays are not clear. Objectives To evaluate the performance of 90 mNGS laboratories under routine testing conditions through analyzing identical samples. Methods Eleven microbial communities were generated using 15 quantitative microbial suspensions. They were used as reference materials to evaluate the false negatives and false positives of participating mNGS protocols, as well as the ability to distinguish genetically similar organisms and to identify true pathogens from other microbes based on fictitious case reports. Results High interlaboratory variability was found in the identification and the quantitative reads per million reads (RPM) values of each microbe in the samples, especially when testing microbes present at low concentrations (1 × 103 cell/ml or less). 42.2% (38/90) of the laboratories reported unexpected microbes (i.e. false positive problem). Only 56.7% (51/90) to 83.3% (75/90) of the laboratories showed a sufficient ability to obtain clear etiological diagnoses for three simulated cases combined with patient information. The analysis of the performance of mNGS in distinguishing genetically similar organisms in three samples revealed that only 56.6% to 63.0% of the laboratories recovered RPM ratios (RPMS. aureus/RPMS. epidermidis) within the range of a 2-fold change of the initial input ratios (indicating a relatively low level of bias). Conclusion The high interlaboratory variability found in both identifying microbes and distinguishing true pathogens emphasizes the urgent need for improving the accuracy and comparability of the results generated across different mNGS laboratories, especially in the detection of low-microbial-biomass samples.
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Kazlauskaite R, Cheaib B, Heys C, Ijaz UZ, Connelly S, Sloan W, Russel J, Rubio L, Sweetman J, Kitts A, McGinnity P, Lyons P, Llewellyn M. SalmoSim: the development of a three-compartment in vitro simulator of the Atlantic salmon GI tract and associated microbial communities. MICROBIOME 2021; 9:179. [PMID: 34465363 PMCID: PMC8408954 DOI: 10.1186/s40168-021-01134-6] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/24/2021] [Accepted: 07/15/2021] [Indexed: 05/11/2023]
Abstract
BACKGROUND The aquaculture sector now accounts for almost 50% of all fish for human consumption and is anticipated to provide 62% by 2030. Innovative strategies are being sought to improve fish feeds and feed additives to enhance fish performance, welfare, and the environmental sustainability of the aquaculture industry. There is still a lack of knowledge surrounding the importance and functionality of the teleost gut microbiome in fish nutrition. In vitro gut model systems might prove a valuable tool to study the effect of feed, and additives, on the host's microbial communities. Several in vitro gut models targeted at monogastric vertebrates are now in operation. Here, we report the development of an Atlantic salmon gut model, SalmoSim, to simulate three gut compartments (stomach, pyloric caecum, and midgut) and associated microbial communities. RESULTS The gut model was established in a series of linked bioreactors seeded with biological material derived from farmed adult marine-phase salmon. We first aimed to achieve a stable microbiome composition representative of founding microbial communities derived from Atlantic salmon. Then, in biological triplicate, the response of the in vitro system to two distinct dietary formulations (fishmeal and fishmeal free) was compared to a parallel in vivo trial over 40 days. Metabarcoding based on 16S rDNA sequencing qPCR, ammoniacal nitrogen, and volatile fatty acid measurements were undertaken to survey the microbial community dynamics and function. SalmoSim microbiomes were indistinguishable (p = 0.230) from their founding inocula at 20 days and the most abundant genera (e.g., Psycrobacter, Staphylococcus, Pseudomonas) proliferated within SalmoSim (OTUs accounting for 98% of all reads shared with founding communities). Real salmon and SalmoSim responded similarly to the introduction of novel feed, with majority of the taxa (96% Salmon, 97% SalmoSim) unaffected, while a subset of taxa (e.g., a small fraction of Psychrobacter) was differentially affected across both systems. Consistent with a low impact of the novel feed on microbial fermentative activity, volatile fatty acid profiles were not significantly different in SalmoSim pre- and post-feed switch. CONCLUSION By establishing stable and representative salmon gut communities, this study represents an important step in the development of an in vitro gut system as a tool for the improvement of fish nutrition and welfare. The steps of the system development described in this paper can be used as guidelines to develop various other systems representing other fish species. These systems, including SalmoSim, aim to be utilised as a prescreening tool for new feed ingredients and additives, as well as being used to study antimicrobial resistance and transfer and fundamental ecological processes that underpin microbiome dynamics and assembly. Video abstract.
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Affiliation(s)
- Raminta Kazlauskaite
- Institute of Biodiversity, Animal Health and Comparative Medicine, Graham Kerr Building, University of Glasgow, Glasgow, G12 8QQ, Scotland.
| | - Bachar Cheaib
- Institute of Biodiversity, Animal Health and Comparative Medicine, Graham Kerr Building, University of Glasgow, Glasgow, G12 8QQ, Scotland
| | - Chloe Heys
- Institute of Biodiversity, Animal Health and Comparative Medicine, Graham Kerr Building, University of Glasgow, Glasgow, G12 8QQ, Scotland
| | - Umer Zeeshan Ijaz
- School of Engineering, University of Glasgow, Glasgow, G12 8QQ, Scotland
| | - Stephanie Connelly
- School of Engineering, University of Glasgow, Glasgow, G12 8QQ, Scotland
| | - William Sloan
- School of Engineering, University of Glasgow, Glasgow, G12 8QQ, Scotland
| | - Julie Russel
- School of Engineering, University of Glasgow, Glasgow, G12 8QQ, Scotland
| | | | - John Sweetman
- Alltech Aqua, Eindhoven, Netherlands
- Alltech, Lexington, KY, USA
| | - Alex Kitts
- Institute of Biodiversity, Animal Health and Comparative Medicine, Graham Kerr Building, University of Glasgow, Glasgow, G12 8QQ, Scotland
| | - Philip McGinnity
- School of Biological, Earth and Environmental Sciences, University College Cork, T23 N73K, Cork, Ireland
- Marine Institute, Foras na Mara, F28 PF65, Newport, Ireland
| | - Philip Lyons
- Alltech Aqua, Eindhoven, Netherlands
- Alltech, Lexington, KY, USA
| | - Martin Llewellyn
- Institute of Biodiversity, Animal Health and Comparative Medicine, Graham Kerr Building, University of Glasgow, Glasgow, G12 8QQ, Scotland
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d'Humières C, Salmona M, Dellière S, Leo S, Rodriguez C, Angebault C, Alanio A, Fourati S, Lazarevic V, Woerther PL, Schrenzel J, Ruppé E. The Potential Role of Clinical Metagenomics in Infectious Diseases: Therapeutic Perspectives. Drugs 2021; 81:1453-1466. [PMID: 34328626 PMCID: PMC8323086 DOI: 10.1007/s40265-021-01572-4] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 07/07/2021] [Indexed: 12/24/2022]
Abstract
Clinical metagenomics (CMg) is the process of sequencing nucleic acid of clinical samples to obtain clinically relevant information such as the identification of microorganisms and their susceptibility to antimicrobials. Over the last decades, sequencing and bioinformatic solutions supporting CMg have much evolved and an increasing number of case reports and series covering various infectious diseases have been published. Metagenomics is a new approach to infectious disease diagnosis that is currently being developed and is certainly one of the most promising for the coming years. However, most CMg studies are retrospective, and few address the potential impact CMg could have on patient management, including initiation, adaptation, or cessation of antimicrobials. In this narrative review, we have discussed the potential role of CMg in bacteriology, virology, mycology, and parasitology. Several reports and case-series confirm that CMg is an innovative tool with which one can (i) identify more microorganisms than with conventional methods in a single test, (ii) obtain results within hours, and (iii) tailor the antimicrobial regimen of patients. However, the cost-efficiency of CMg and its real impact on patient management are still to be determined.
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Affiliation(s)
- Camille d'Humières
- Université de Paris, IAME, INSERM, 75018, Paris, France.,AP-HP, Hôpital Bichat, Laboratoire de Bactériologie, Hôpital Bichat-Claude Bernard, 46 rue Henri Huchard, 75018, Paris, France
| | - Maud Salmona
- Unité de Paris, INSERM U976, Insight Team, 75010, Paris, France.,AP-HP, Hôpital Saint-Louis, Laboratoire de Virologie, 75010, Paris, France
| | - Sarah Dellière
- AP-HP, Hôpital Saint-Louis, Laboratoire de Parasitologie-Mycologie, 75010, Paris, France.,Molecular Mycology Unit, Institut Pasteur, CNRS UMR2000, 75015, Paris, France
| | - Stefano Leo
- Faculty of Medicine, CMU, University of Geneva, Geneva, Switzerland.,Service of Infectious Diseases, Genomic Research Laboratory, Geneva University Hospitals, Geneva, Switzerland
| | - Christophe Rodriguez
- Département de Microbiologie, AP-HP, Hôpital Henri Mondor, 94000, Créteil, France.,INSERM U955, Université Paris-Est, 94000, Créteil, France
| | - Cécile Angebault
- Département de Microbiologie, AP-HP, Hôpital Henri Mondor, 94000, Créteil, France.,Université Paris Est Créteil, Ecole Nationale Vétérinaire d'Alfort, USC ANSES, EA7380 Dynamic, 94000, Créteil, France
| | - Alexandre Alanio
- AP-HP, Hôpital Saint-Louis, Laboratoire de Parasitologie-Mycologie, 75010, Paris, France.,Molecular Mycology Unit, Institut Pasteur, CNRS UMR2000, 75015, Paris, France
| | - Slim Fourati
- Département de Microbiologie, AP-HP, Hôpital Henri Mondor, 94000, Créteil, France.,INSERM U955, Université Paris-Est, 94000, Créteil, France
| | - Vladimir Lazarevic
- Faculty of Medicine, CMU, University of Geneva, Geneva, Switzerland.,Service of Infectious Diseases, Genomic Research Laboratory, Geneva University Hospitals, Geneva, Switzerland
| | - Paul-Louis Woerther
- Département de Microbiologie, AP-HP, Hôpital Henri Mondor, 94000, Créteil, France.,Université Paris Est Créteil, Ecole Nationale Vétérinaire d'Alfort, USC ANSES, EA7380 Dynamic, 94000, Créteil, France
| | - Jacques Schrenzel
- Faculty of Medicine, CMU, University of Geneva, Geneva, Switzerland.,Service of Infectious Diseases, Genomic Research Laboratory, Geneva University Hospitals, Geneva, Switzerland
| | - Etienne Ruppé
- Université de Paris, IAME, INSERM, 75018, Paris, France. .,AP-HP, Hôpital Bichat, Laboratoire de Bactériologie, Hôpital Bichat-Claude Bernard, 46 rue Henri Huchard, 75018, Paris, France.
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Tourlousse DM, Narita K, Miura T, Sakamoto M, Ohashi A, Shiina K, Matsuda M, Miura D, Shimamura M, Ohyama Y, Yamazoe A, Uchino Y, Kameyama K, Arioka S, Kataoka J, Hisada T, Fujii K, Takahashi S, Kuroiwa M, Rokushima M, Nishiyama M, Tanaka Y, Fuchikami T, Aoki H, Kira S, Koyanagi R, Naito T, Nishiwaki M, Kumagai H, Konda M, Kasahara K, Ohkuma M, Kawasaki H, Sekiguchi Y, Terauchi J. Validation and standardization of DNA extraction and library construction methods for metagenomics-based human fecal microbiome measurements. MICROBIOME 2021; 9:95. [PMID: 33910647 PMCID: PMC8082873 DOI: 10.1186/s40168-021-01048-3] [Citation(s) in RCA: 34] [Impact Index Per Article: 11.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/21/2020] [Accepted: 03/12/2021] [Indexed: 05/27/2023]
Abstract
BACKGROUND Validation and standardization of methodologies for microbial community measurements by high-throughput sequencing are needed to support human microbiome research and its industrialization. This study set out to establish standards-based solutions to improve the accuracy and reproducibility of metagenomics-based microbiome profiling of human fecal samples. RESULTS In the first phase, we performed a head-to-head comparison of a wide range of protocols for DNA extraction and sequencing library construction using defined mock communities, to identify performant protocols and pinpoint sources of inaccuracy in quantification. In the second phase, we validated performant protocols with respect to their variability of measurement results within a single laboratory (that is, intermediate precision) as well as interlaboratory transferability and reproducibility through an industry-based collaborative study. We further ascertained the performance of our recommended protocols in the context of a community-wide interlaboratory study (that is, the MOSAIC Standards Challenge). Finally, we defined performance metrics to provide best practice guidance for improving measurement consistency across methods and laboratories. CONCLUSIONS The validated protocols and methodological guidance for DNA extraction and library construction provided in this study expand current best practices for metagenomic analyses of human fecal microbiota. Uptake of our protocols and guidelines will improve the accuracy and comparability of metagenomics-based studies of the human microbiome, thereby facilitating development and commercialization of human microbiome-based products. Video Abstract.
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Affiliation(s)
- Dieter M Tourlousse
- Biomedical Research Institute, National Institute of Advanced Industrial Science and Technology (AIST), Tsukuba, Ibaraki, 305-8566, Japan
| | - Koji Narita
- Japan Microbiome Consortium (JMBC), Osaka, Osaka, 530-0011, Japan
- Chitose Laboratory Corp., Kawasaki, Kanagawa, 216-0041, Japan
| | - Takamasa Miura
- Biological Resource Center, National Institute of Technology and Evaluation (NITE), Kisarazu, Chiba, 292-0818, Japan
| | - Mitsuo Sakamoto
- Microbe Division/Japan Collection of Microorganisms, RIKEN BioResource Research Center, Tsukuba, Ibaraki, 305-0074, Japan
| | - Akiko Ohashi
- Biomedical Research Institute, National Institute of Advanced Industrial Science and Technology (AIST), Tsukuba, Ibaraki, 305-8566, Japan
| | - Keita Shiina
- Biomedical Research Institute, National Institute of Advanced Industrial Science and Technology (AIST), Tsukuba, Ibaraki, 305-8566, Japan
| | - Masami Matsuda
- Biomedical Research Institute, National Institute of Advanced Industrial Science and Technology (AIST), Tsukuba, Ibaraki, 305-8566, Japan
| | - Daisuke Miura
- Biomedical Research Institute, National Institute of Advanced Industrial Science and Technology (AIST), Tsukuba, Ibaraki, 305-8566, Japan
| | - Mamiko Shimamura
- Biological Resource Center, National Institute of Technology and Evaluation (NITE), Kisarazu, Chiba, 292-0818, Japan
| | - Yoshifumi Ohyama
- Biological Resource Center, National Institute of Technology and Evaluation (NITE), Kisarazu, Chiba, 292-0818, Japan
| | - Atsushi Yamazoe
- Biological Resource Center, National Institute of Technology and Evaluation (NITE), Kisarazu, Chiba, 292-0818, Japan
| | - Yoshihito Uchino
- Biological Resource Center, National Institute of Technology and Evaluation (NITE), Kisarazu, Chiba, 292-0818, Japan
| | - Keishi Kameyama
- Japan Microbiome Consortium (JMBC), Osaka, Osaka, 530-0011, Japan
- Institute of Food Sciences and Technologies, Ajinomoto Co., Inc., Kawasaki, Kanagawa, 210-8681, Japan
| | - Shingo Arioka
- Japan Microbiome Consortium (JMBC), Osaka, Osaka, 530-0011, Japan
- Laboratory for Innovative Therapy Research, Shionogi and Co., Ltd., Toyonaka, Osaka, 561-0825, Japan
| | - Jiro Kataoka
- Japan Microbiome Consortium (JMBC), Osaka, Osaka, 530-0011, Japan
- Japan Tobacco Inc., Minato, Tokyo, 105-6927, Japan
| | - Takayoshi Hisada
- Japan Microbiome Consortium (JMBC), Osaka, Osaka, 530-0011, Japan
- TechnoSuruga Laboratory Co., Ltd., Shizuoka, Shizuoka, 424-0065, Japan
| | - Kazuyuki Fujii
- Japan Microbiome Consortium (JMBC), Osaka, Osaka, 530-0011, Japan
- Infectious Diseases Unit, Department of Medical Innovations, New Drug Research Division, Otsuka Pharmaceutical Co., Ltd., Tokushima, Tokushima, 771-0192, Japan
| | - Shunsuke Takahashi
- Japan Microbiome Consortium (JMBC), Osaka, Osaka, 530-0011, Japan
- TechnoSuruga Laboratory Co., Ltd., Shizuoka, Shizuoka, 424-0065, Japan
| | - Miho Kuroiwa
- Japan Microbiome Consortium (JMBC), Osaka, Osaka, 530-0011, Japan
- Laboratory for Innovative Therapy Research, Shionogi and Co., Ltd., Toyonaka, Osaka, 561-0825, Japan
| | - Masatomo Rokushima
- Japan Microbiome Consortium (JMBC), Osaka, Osaka, 530-0011, Japan
- Laboratory for Innovative Therapy Research, Shionogi and Co., Ltd., Toyonaka, Osaka, 561-0825, Japan
| | - Mitsue Nishiyama
- Japan Microbiome Consortium (JMBC), Osaka, Osaka, 530-0011, Japan
- Tsumura Kampo Research Laboratories, Tsumura & Co., Ami, Ibaraki, 300-1192, Japan
| | - Yoshiki Tanaka
- Japan Microbiome Consortium (JMBC), Osaka, Osaka, 530-0011, Japan
- Biofermin Pharmaceutical Co., Ltd., Kobe, Hyogo, 650-0021, Japan
| | - Takuya Fuchikami
- Japan Microbiome Consortium (JMBC), Osaka, Osaka, 530-0011, Japan
- CDM Center Division 4, Takara Bio Inc., Kusatsu, Shiga, 525-0058, Japan
| | - Hitomi Aoki
- Japan Microbiome Consortium (JMBC), Osaka, Osaka, 530-0011, Japan
- CDM Center Division 4, Takara Bio Inc., Kusatsu, Shiga, 525-0058, Japan
| | - Satoshi Kira
- Japan Microbiome Consortium (JMBC), Osaka, Osaka, 530-0011, Japan
- CDM Center Division 4, Takara Bio Inc., Kusatsu, Shiga, 525-0058, Japan
| | - Ryo Koyanagi
- Japan Microbiome Consortium (JMBC), Osaka, Osaka, 530-0011, Japan
- Molecular Genetic Research Department, Advanced Technology Center, LSI Medience Corporation, Chiyoda, Tokyo, 101-8517, Japan
| | - Takeshi Naito
- Japan Microbiome Consortium (JMBC), Osaka, Osaka, 530-0011, Japan
- H.U. Group Research Institute G.K., Hachioji, Tokyo, 192-0031, Japan
| | - Morie Nishiwaki
- Japan Microbiome Consortium (JMBC), Osaka, Osaka, 530-0011, Japan
- H.U. Group Research Institute G.K., Hachioji, Tokyo, 192-0031, Japan
| | - Hirotaka Kumagai
- Japan Microbiome Consortium (JMBC), Osaka, Osaka, 530-0011, Japan
- JSR-Keio University Medical and Chemical Innovation Center, Shinjuku, Tokyo, 160-8582, Japan
| | - Mikiko Konda
- Japan Microbiome Consortium (JMBC), Osaka, Osaka, 530-0011, Japan
- JSR-Keio University Medical and Chemical Innovation Center, Shinjuku, Tokyo, 160-8582, Japan
| | - Ken Kasahara
- Japan Microbiome Consortium (JMBC), Osaka, Osaka, 530-0011, Japan
- Chitose Laboratory Corp., Kawasaki, Kanagawa, 216-0041, Japan
| | - Moriya Ohkuma
- Microbe Division/Japan Collection of Microorganisms, RIKEN BioResource Research Center, Tsukuba, Ibaraki, 305-0074, Japan
| | - Hiroko Kawasaki
- Biological Resource Center, National Institute of Technology and Evaluation (NITE), Kisarazu, Chiba, 292-0818, Japan
| | - Yuji Sekiguchi
- Biomedical Research Institute, National Institute of Advanced Industrial Science and Technology (AIST), Tsukuba, Ibaraki, 305-8566, Japan.
| | - Jun Terauchi
- Japan Microbiome Consortium (JMBC), Osaka, Osaka, 530-0011, Japan.
- Ono Pharmaceutical Co., Ltd., Osaka, Osaka, 541-8564, Japan.
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