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Jin DM, Morton JT, Bonneau R. Meta-analysis of the human gut microbiome uncovers shared and distinct microbial signatures between diseases. mSystems 2024; 9:e0029524. [PMID: 39078158 PMCID: PMC11334437 DOI: 10.1128/msystems.00295-24] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/26/2024] [Accepted: 05/08/2024] [Indexed: 07/31/2024] Open
Abstract
Microbiome studies have revealed gut microbiota's potential impact on complex diseases. However, many studies often focus on one disease per cohort. We developed a meta-analysis workflow for gut microbiome profiles and analyzed shotgun metagenomic data covering 11 diseases. Using interpretable machine learning and differential abundance analysis, our findings reinforce the generalization of binary classifiers for Crohn's disease (CD) and colorectal cancer (CRC) to hold-out cohorts and highlight the key microbes driving these classifications. We identified high microbial similarity in disease pairs like CD vs ulcerative colitis (UC), CD vs CRC, Parkinson's disease vs type 2 diabetes (T2D), and schizophrenia vs T2D. We also found strong inverse correlations in Alzheimer's disease vs CD and UC. These findings, detected by our pipeline, provide valuable insights into these diseases. IMPORTANCE Assessing disease similarity is an essential initial step preceding a disease-based approach for drug repositioning. Our study provides a modest first step in underscoring the potential of integrating microbiome insights into the disease similarity assessment. Recent microbiome research has predominantly focused on analyzing individual diseases to understand their unique characteristics, which by design excludes comorbidities in individuals. We analyzed shotgun metagenomic data from existing studies and identified previously unknown similarities between diseases. Our research represents a pioneering effort that utilizes both interpretable machine learning and differential abundance analysis to assess microbial similarity between diseases.
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Affiliation(s)
- Dong-Min Jin
- Center for Genomics and Systems Biology, New York University, New York, New York, USA
| | - James T. Morton
- Center for Computational Biology, Flatiron Institute, Simons Foundation, New York, New York, USA
| | - Richard Bonneau
- Center for Genomics and Systems Biology, New York University, New York, New York, USA
- Genentech, New York, New York, USA
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2
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Haghani NB, Lampe RH, Samuel BS, Chalasani SH, Matty MA. Identification and characterization of a skin microbiome on Caenorhabditis elegans suggests environmental microbes confer cuticle protection. Microbiol Spectr 2024; 12:e0016924. [PMID: 38980017 PMCID: PMC11302229 DOI: 10.1128/spectrum.00169-24] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/20/2024] [Accepted: 06/10/2024] [Indexed: 07/10/2024] Open
Abstract
In the wild, C. elegans are emersed in environments teeming with a veritable menagerie of microorganisms. The C. elegans cuticular surface serves as a barrier and first point of contact with their microbial environments. In this study, we identify microbes from C. elegans natural habitats that associate with its cuticle, constituting a simple "skin microbiome." We rear our animals on a modified CeMbio, mCeMbio, a consortium of ecologically relevant microbes. We first combine standard microbiological methods with an adapted micro skin-swabbing tool to describe the skin-resident bacteria on the C. elegans surface. Furthermore, we conduct 16S rRNA gene sequencing studies to identify relative shifts in the proportion of mCeMbio bacteria upon surface-sterilization, implying distinct skin- and gut-microbiomes. We find that some strains of bacteria, including Enterobacter sp. JUb101, are primarily found on the nematode skin, while others like Stenotrophomonas indicatrix JUb19 and Ochrobactrum vermis MYb71 are predominantly found in the animal's gut. Finally, we show that this skin microbiome promotes host cuticle integrity in harsh environments. Together, we identify a skin microbiome for the well-studied nematode model and propose its value in conferring host fitness advantages in naturalized contexts. IMPORTANCE The genetic model organism C. elegans has recently emerged as a tool for understanding host-microbiome interactions. Nearly all of these studies either focus on pathogenic or gut-resident microbes. Little is known about the existence of native, nonpathogenic skin microbes or their function. We demonstrate that members of a modified C. elegans model microbiome, mCeMbio, can adhere to the animal's cuticle and confer protection from noxious environments. We combine a novel micro-swab tool, the first 16S microbial sequencing data from relatively unperturbed C. elegans, and physiological assays to demonstrate microbially mediated protection of the skin. This work serves as a foundation to explore wild C. elegans skin microbiomes and use C. elegans as a model for skin research.
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Affiliation(s)
- Nadia B. Haghani
- Molecular Neurobiology Laboratory, The Salk Institute for Biological Studies, La Jolla, California, USA
- University of California San Diego, La Jolla, California, USA
| | - Robert H. Lampe
- Microbial and Environmental Genomics, J. Craig Venter Institute, La Jolla, California, USA
- Integrative Oceanography Division, Scripps Institution of Oceanography, University of California, San Diego, La Jolla, California, USA
| | - Buck S. Samuel
- Alkek Center for Metagenomics and Microbiome Research, Department of Molecular Virology and Microbiology, Baylor College of Medicine, Houston, Texas, USA
| | - Sreekanth H. Chalasani
- Molecular Neurobiology Laboratory, The Salk Institute for Biological Studies, La Jolla, California, USA
- University of California San Diego, La Jolla, California, USA
| | - Molly A. Matty
- Molecular Neurobiology Laboratory, The Salk Institute for Biological Studies, La Jolla, California, USA
- Biology, University of Portland, Portland, Oregon, USA
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Gao S, Zhang S, Sun J, He X, Xue S, Zhang W, Li P, Lin L, Qu Y, Ward-Fear G, Chen L, Li H. Nanoplastic pollution changes the intestinal microbiome but not the morphology or behavior of a freshwater turtle. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 934:173178. [PMID: 38750733 DOI: 10.1016/j.scitotenv.2024.173178] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/09/2024] [Revised: 05/06/2024] [Accepted: 05/10/2024] [Indexed: 05/20/2024]
Abstract
Humans produce 350 million metric tons of plastic waste per year, leading to microplastic pollution and widespread environmental contamination, particularly in aquatic environments. This subsequently impacts aquatic organisms in myriad ways, yet the vast majority of research is conducted in marine, rather than freshwater systems. In this study, we exposed eggs and hatchlings of the Chinese soft-shelled turtle (Pelodiscus sinensis) to 80-nm polystyrene nanoplastics (PS-NPs) and monitored the impacts on development, behavior and the gut microbiome. We demonstrate that 80-nm PS-NPs can penetrate the eggshell and move into developing embryos. This led to metabolic impairments, as evidenced by bradycardia (a decreased heart rate), which persisted until hatching. We found no evidence that nanoplastic exposure affected hatchling morphology, growth rates, or levels of boldness and exploration, yet we discuss some potential caveats here. Exposure to nanoplastics reduced the diversity and homogeneity of gut microbiota in P. sinensis, with the level of disruption correlating to the length of environmental exposure (during incubation only or post-hatching also). Thirteen core genera (with an initial abundance >1 %) shifted after nanoplastic treatment: pathogenic bacteria increased, beneficial probiotic bacteria decreased, and there was an increase in the proportion of negative correlations between bacterial genera. These changes could have profound impacts on the viability of turtles throughout their lives. Our study highlights the toxicity of environmental NPs to the embryonic development and survival of freshwater turtles. We provide insights about population trends of P. sinensis in the wild, and future directions for research.
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Affiliation(s)
- Shuo Gao
- Herpetological Research Center, College of Life Sciences, Nanjing Normal University, Nanjing 210023, China
| | - Shufang Zhang
- Herpetological Research Center, College of Life Sciences, Nanjing Normal University, Nanjing 210023, China
| | - Jiahui Sun
- Herpetological Research Center, College of Life Sciences, Nanjing Normal University, Nanjing 210023, China
| | - Xinni He
- Herpetological Research Center, College of Life Sciences, Nanjing Normal University, Nanjing 210023, China
| | - Shaoshuai Xue
- College of Life Sciences, Nanjing Forestry University, Nanjing 210037, China
| | - Wenyi Zhang
- Herpetological Research Center, College of Life Sciences, Nanjing Normal University, Nanjing 210023, China
| | - Peng Li
- Herpetological Research Center, College of Life Sciences, Nanjing Normal University, Nanjing 210023, China
| | - Longhui Lin
- Herpetological Research Center, Hangzhou Normal University, Hangzhou 311121, China
| | - Yanfu Qu
- Herpetological Research Center, College of Life Sciences, Nanjing Normal University, Nanjing 210023, China
| | - Georgia Ward-Fear
- School of Biological Sciences, Macquarie University, Sydney, NSW 2109, Australia
| | - Lian Chen
- College of Life Sciences, Nanjing Forestry University, Nanjing 210037, China.
| | - Hong Li
- Herpetological Research Center, College of Life Sciences, Nanjing Normal University, Nanjing 210023, China.
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Torres MC, Breyer GM, Riveros Escalona MA, Mayer FQ, Muterle Varela AP, Ariston de Carvalho Azevedo V, Matiuzzi da Costa M, Aburjaile FF, Dorn M, Brenig B, Ribeiro de Itapema Cardoso M, Siqueira FM. Exploring bacterial diversity and antimicrobial resistance gene on a southern Brazilian swine farm. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2024; 352:124146. [PMID: 38740246 DOI: 10.1016/j.envpol.2024.124146] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/06/2023] [Revised: 05/08/2024] [Accepted: 05/09/2024] [Indexed: 05/16/2024]
Abstract
The bacterial composition of and the circulation of antimicrobial resistance genes (ARGs) in waste from Brazilian swine farms are still poorly understood. Considering that antimicrobial resistance (AMR) is one of the main threats to human, animal, and environmental health, the need to accurately assess the load of ARGs released into the environment is urgent. Therefore, this study aimed to characterize the microbiota in a swine farm in southern Brazil and the resistome in swine farm wastewater treated in a series of waste stabilization ponds (WSPs). Samples were collected from farm facilities and the surrounding environment, representing all levels of swine manure within the treatment system. Total metagenomic sequencing was performed on samples from WSPs, and 16S-rDNA sequencing was performed on all the collected samples. The results showed increased bacterial diversity in WSPs, characterized by the presence of Caldatribacteriota, Cloacimonadota, Desulfobacterota, Spirochaetota, Synergistota, and Verrucomicrobiota. Furthermore, resistance genes to tetracyclines, lincosamides, macrolides, rifamycin, phenicol, and genes conferring multidrug resistance were detected in WSPs samples. Interestingly, the most abundant ARG was linG, which confers resistance to the lincosamides. Notably, genes conferring macrolide (mphG and mefC) and rifamycin (rpoB_RIF) resistance appeared in greater numbers in the late WSPs. These drugs are among the high-priority antibiotic classes for human health. Moreover, certain mobile genetic elements (MGEs) were identified in the samples, notably tnpA, which was found in high abundance. These elements are of particular concern due to their potential to facilitate the dissemination of ARGs among bacteria. In summary, the results indicate that, in the studied farm, the swine manure treatment system could not eliminate ARGs and MGEs. Our results validate concerns about Brazil's swine production system. The misuse and overuse of antimicrobials during animal production must be avoided to mitigate AMR.
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Affiliation(s)
- Mariana Costa Torres
- Department of Veterinary Clinical Pathology, Faculty of Veterinary Medicine, Federal University of Rio Grande do Sul, Porto Alegre, RS - 91540-000, Brazil; Postgraduate Program in Veterinary Science, Brazil
| | - Gabriela Merker Breyer
- Department of Veterinary Clinical Pathology, Faculty of Veterinary Medicine, Federal University of Rio Grande do Sul, Porto Alegre, RS - 91540-000, Brazil; Postgraduate Program in Veterinary Science, Brazil
| | | | - Fabiana Quoos Mayer
- Center for Biotechnology, Federal University of Rio Grande do Sul, Porto Alegre, RS - 91501-970, Brazil
| | - Ana Paula Muterle Varela
- Center for Biotechnology, Federal University of Rio Grande do Sul, Porto Alegre, RS - 91501-970, Brazil
| | | | - Mateus Matiuzzi da Costa
- Department of Biological Sciences, Federal University of Vale do São Francisco, Petrolina, PE - 56306-410, Brazil
| | | | - Marcio Dorn
- Institute of Informatics, Federal University of Rio Grande do Sul, Porto Alegre, RS - 91501-970, Brazil; Center for Biotechnology, Federal University of Rio Grande do Sul, Porto Alegre, RS - 91501-970, Brazil
| | - Bertram Brenig
- Department of Molecular Biology of Livestock, Institute of Veterinary Medicine, Georg August University Göttingen, 37073, Göttingen, Germany
| | | | - Franciele Maboni Siqueira
- Department of Veterinary Clinical Pathology, Faculty of Veterinary Medicine, Federal University of Rio Grande do Sul, Porto Alegre, RS - 91540-000, Brazil; Postgraduate Program in Veterinary Science, Brazil; Center for Biotechnology, Federal University of Rio Grande do Sul, Porto Alegre, RS - 91501-970, Brazil.
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Thieffry S, Aubert J, Devers-Lamrani M, Martin-Laurent F, Romdhane S, Rouard N, Siol M, Spor A. Engineering multi-degrading bacterial communities to bioremediate soils contaminated with pesticides residues. JOURNAL OF HAZARDOUS MATERIALS 2024; 471:134454. [PMID: 38688223 DOI: 10.1016/j.jhazmat.2024.134454] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/29/2024] [Revised: 04/09/2024] [Accepted: 04/25/2024] [Indexed: 05/02/2024]
Abstract
Parallel to the important use of pesticides in conventional agriculture there is a growing interest for green technologies to clear contaminated soil from pesticides and their degradation products. Bioaugmentation i. e. the inoculation of degrading micro-organisms in polluted soil, is a promising method still in needs of further developments. Specifically, improvements in the understanding of how degrading microorganisms must overcome abiotic filters and interact with the autochthonous microbial communities are needed in order to efficiently design bioremediation strategies. Here we designed a protocol aiming at studying the degradation of two herbicides, glyphosate (GLY) and isoproturon (IPU), via experimental modifications of two source bacterial communities. We used statistical methods stemming from genomic prediction to link community composition to herbicides degradation potentials. Our approach proved to be efficient with correlation estimates over 0.8 - between model predictions and measured pesticide degradation values. Multi-degrading bacterial communities were obtained by coalescing bacterial communities with high GLY or IPU degradation ability based on their community-level properties. Finally, we evaluated the efficiency of constructed multi-degrading communities to remove pesticide contamination in a different soil. While results are less clear in the case of GLY, we showed an efficient transfer of degrading capacities towards the receiving soil even at relatively low inoculation levels in the case of IPU. Altogether, we developed an innovative protocol for building multi-degrading simplified bacterial communities with the help of genomic prediction tools and coalescence, and proved their efficiency in a contaminated soil.
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Affiliation(s)
- Sylvia Thieffry
- INRAE, Institut Agro, Université de Bourgogne, Université de Bourgogne Franche-Comté, Agroécologie,21000 Dijon, France; Université Paris-Saclay, AgroParisTech, INRAE, UMR MIA Paris-Saclay, 91120 Palaiseau, France.
| | - Julie Aubert
- Université Paris-Saclay, AgroParisTech, INRAE, UMR MIA Paris-Saclay, 91120 Palaiseau, France
| | - Marion Devers-Lamrani
- INRAE, Institut Agro, Université de Bourgogne, Université de Bourgogne Franche-Comté, Agroécologie,21000 Dijon, France
| | - Fabrice Martin-Laurent
- INRAE, Institut Agro, Université de Bourgogne, Université de Bourgogne Franche-Comté, Agroécologie,21000 Dijon, France
| | - Sana Romdhane
- INRAE, Institut Agro, Université de Bourgogne, Université de Bourgogne Franche-Comté, Agroécologie,21000 Dijon, France
| | - Nadine Rouard
- INRAE, Institut Agro, Université de Bourgogne, Université de Bourgogne Franche-Comté, Agroécologie,21000 Dijon, France
| | - Mathieu Siol
- INRAE, Institut Agro, Université de Bourgogne, Université de Bourgogne Franche-Comté, Agroécologie,21000 Dijon, France
| | - Aymé Spor
- INRAE, Institut Agro, Université de Bourgogne, Université de Bourgogne Franche-Comté, Agroécologie,21000 Dijon, France.
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Benton LD, Lopez-Galvez N, Herman C, Caporaso JG, Cope EK, Rosales C, Gameros M, Lothrop N, Martínez FD, Wright AL, Carr TF, Beamer PI. Environmental and structural factors associated with bacterial diversity in household dust across the Arizona-Sonora border. Sci Rep 2024; 14:12803. [PMID: 38834753 PMCID: PMC11150412 DOI: 10.1038/s41598-024-63356-6] [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: 09/04/2023] [Accepted: 05/28/2024] [Indexed: 06/06/2024] Open
Abstract
We previously reported that asthma prevalence was higher in the United States (US) compared to Mexico (MX) (25.8% vs. 8.4%). This investigation assessed differences in microbial dust composition in relation to demographic and housing characteristics on both sides of the US-MX Border. Forty homes were recruited in the US and MX. Home visits collected floor dust and documented occupants' demographics, asthma prevalence, housing structure, and use characteristics. US households were more likely to have inhabitants who reported asthma when compared with MX households (30% vs. 5%) and had significantly different flooring types. The percentage of households on paved roads, with flushing toilets, with piped water and with air conditioning was higher in the US, while dust load was higher in MX. Significant differences exist between countries in the microbial composition of the floor dust. Dust from Mexican homes was enriched with Alishewanella, Paracoccus, Rheinheimera genera and Intrasporangiaceae family. A predictive metagenomics analysis identified 68 significantly differentially abundant functional pathways between US and MX. This study documented multiple structural, environmental, and demographic differences between homes in the US and MX that may contribute to significantly different microbial composition of dust observed in these two countries.
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Affiliation(s)
- Lauren D Benton
- Department of Pediatrics, Steele Children's Research Center, College of Medicine, University of Arizona Health Sciences, 1501 N. Campbell Avenue, Tucson, AZ, 85724, USA.
- Asthma and Airway Disease Research Center, University of Arizona, College of Medicine, University of Arizona Health Sciences, 1501 N. Campbell Avenue, Tucson, AZ, 85724, USA.
| | - Nicolas Lopez-Galvez
- Mel and Enid Zuckerman College of Public Health, University of Arizona, 1295 N. Martin Ave, PO 245210, Tucson, AZ, 85724, USA
- San Diego State University Research Foundation, San Diego State University, 5250 Campanile Dr, San Diego, CA, 92182, USA
| | - Chloe Herman
- Center for Applied Microbiome Science, Pathogen and Microbiome Institute, Northern Arizona University, 1350 S Knoles Dr, Flagstaff, AZ, 86011, USA
- School of Informatics, Computing and Cyber Systems, Northern Arizona University, Flagstaff, AZ, USA
| | - J Gregory Caporaso
- Center for Applied Microbiome Science, Pathogen and Microbiome Institute, Northern Arizona University, 1350 S Knoles Dr, Flagstaff, AZ, 86011, USA
- Department of Biological Sciences, Northern Arizona University, Flagstaff, AZ, USA
- School of Informatics, Computing and Cyber Systems, Northern Arizona University, Flagstaff, AZ, USA
| | - Emily K Cope
- Center for Applied Microbiome Science, Pathogen and Microbiome Institute, Northern Arizona University, 1350 S Knoles Dr, Flagstaff, AZ, 86011, USA
- Department of Biological Sciences, Northern Arizona University, Flagstaff, AZ, USA
| | - Cecilia Rosales
- Mel and Enid Zuckerman College of Public Health, University of Arizona, 1295 N. Martin Ave, PO 245210, Tucson, AZ, 85724, USA
| | - Mercedes Gameros
- Mel and Enid Zuckerman College of Public Health, University of Arizona, 1295 N. Martin Ave, PO 245210, Tucson, AZ, 85724, USA
| | - Nathan Lothrop
- Asthma and Airway Disease Research Center, University of Arizona, College of Medicine, University of Arizona Health Sciences, 1501 N. Campbell Avenue, Tucson, AZ, 85724, USA
- Mel and Enid Zuckerman College of Public Health, University of Arizona, 1295 N. Martin Ave, PO 245210, Tucson, AZ, 85724, USA
| | - Fernando D Martínez
- Asthma and Airway Disease Research Center, University of Arizona, College of Medicine, University of Arizona Health Sciences, 1501 N. Campbell Avenue, Tucson, AZ, 85724, USA
| | - Anne L Wright
- Asthma and Airway Disease Research Center, University of Arizona, College of Medicine, University of Arizona Health Sciences, 1501 N. Campbell Avenue, Tucson, AZ, 85724, USA
| | - Tara F Carr
- Asthma and Airway Disease Research Center, University of Arizona, College of Medicine, University of Arizona Health Sciences, 1501 N. Campbell Avenue, Tucson, AZ, 85724, USA
| | - Paloma I Beamer
- Asthma and Airway Disease Research Center, University of Arizona, College of Medicine, University of Arizona Health Sciences, 1501 N. Campbell Avenue, Tucson, AZ, 85724, USA
- Mel and Enid Zuckerman College of Public Health, University of Arizona, 1295 N. Martin Ave, PO 245210, Tucson, AZ, 85724, USA
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Zeng H, Xu J, Zheng L, Zhan Z, Fang Z, Li Y, Zhao C, Xiao R, Zheng Z, Li Y, Yang L. Traditional Chinese herbal formulas modulate gut microbiome and improve insomnia in patients with distinct syndrome types: insights from an interventional clinical study. Front Cell Infect Microbiol 2024; 14:1395267. [PMID: 38817449 PMCID: PMC11137223 DOI: 10.3389/fcimb.2024.1395267] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/03/2024] [Accepted: 04/26/2024] [Indexed: 06/01/2024] Open
Abstract
Background Traditional Chinese medicine (TCM) comprising herbal formulas has been used for millennia to treat various diseases, such as insomnia, based on distinct syndrome types. Although TCM has been proposed to be effective in insomnia through gut microbiota modulation in animal models, human studies remain limited. Therefore, this study employs machine learning and integrative network techniques to elucidate the role of the gut microbiome in the efficacies of two TCM formulas - center-supplementing and qi-boosting decoction (CSQBD) and spleen-tonifying and yin heat-clearing decoction (STYHCD) - in treating insomnia patients diagnosed with spleen qi deficiency and spleen qi deficiency with stomach heat. Methods Sixty-three insomnia patients with these two specific TCM syndromes were enrolled and treated with CSQBD or STYHCD for 4 weeks. Sleep quality was assessed using the Pittsburgh Sleep Quality Index (PSQI) and Insomnia Severity Index (ISI) every 2 weeks. In addition, variations in gut microbiota were evaluated through 16S rRNA gene sequencing. Stress and inflammatory markers were measured pre- and post-treatment. Results At baseline, patients exhibiting only spleen qi deficiency showed slightly lesser severe insomnia, lower IFN-α levels, and higher cortisol levels than those with spleen qi deficiency with stomach heat. Both TCM syndromes displayed distinct gut microbiome profiles despite baseline adjustment of PSQI, ISI, and IFN-α scores. The nested stratified 10-fold cross-validated random forest classifier showed that patients with spleen qi deficiency had a higher abundance of Bifidobacterium longum than those with spleen qi deficiency with stomach heat, negatively associated with plasma IFN-α concentration. Both CSQBD and STYHCD treatments significantly improved sleep quality within 2 weeks, which lasted throughout the study. Moreover, the gut microbiome and inflammatory markers were significantly altered post-treatment. The longitudinal integrative network analysis revealed interconnections between sleep quality, gut microbes, such as Phascolarctobacterium and Ruminococcaceae, and inflammatory markers. Conclusion This study reveals distinct microbiome profiles associated with different TCM syndrome types and underscores the link between the gut microbiome and efficacies of Chinese herbal formulas in improving insomnia. These findings deepen our understanding of the gut-brain axis in relation to insomnia and pave the way for precision treatment approaches leveraging TCM herbal remedies.
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Affiliation(s)
- Huimei Zeng
- Guangdong Provincial Hospital of Chinese Medicine, Guangdong Provincial Academy of Chinese Medical Sciences, and The Second Clinical College, Guangzhou University of Chinese Medicine, Guangzhou, China
| | - Jia Xu
- Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research, Singapore, Singapore
| | - Liming Zheng
- Guangdong Provincial Hospital of Chinese Medicine, Guangdong Provincial Academy of Chinese Medical Sciences, and The Second Clinical College, Guangzhou University of Chinese Medicine, Guangzhou, China
| | - Zhi Zhan
- Guangdong Provincial Hospital of Chinese Medicine, Guangdong Provincial Academy of Chinese Medical Sciences, and The Second Clinical College, Guangzhou University of Chinese Medicine, Guangzhou, China
| | - Zenan Fang
- Guangdong Provincial Hospital of Chinese Medicine, Guangdong Provincial Academy of Chinese Medical Sciences, and The Second Clinical College, Guangzhou University of Chinese Medicine, Guangzhou, China
| | - Yunxi Li
- Guangdong Provincial Hospital of Chinese Medicine, Guangdong Provincial Academy of Chinese Medical Sciences, and The Second Clinical College, Guangzhou University of Chinese Medicine, Guangzhou, China
| | - Chunyi Zhao
- The Second Clinical Medical College, Guangzhou University of Traditional Chinese Medicine, Guangzhou, China
| | - Rong Xiao
- Department of Rehabilitation, The Eighth People’s Hospital of Hefei, Hefei, China
| | - Zhuanfang Zheng
- Teaching and research Center, Guangdong Provincial Trade Union Cadre School, Guangzhou, China
| | - Yan Li
- Guangdong Provincial Hospital of Chinese Medicine, Guangdong Provincial Academy of Chinese Medical Sciences, and The Second Clinical College, Guangzhou University of Chinese Medicine, Guangzhou, China
| | - Lingling Yang
- Guangdong Provincial Hospital of Chinese Medicine, Guangdong Provincial Academy of Chinese Medical Sciences, and The Second Clinical College, Guangzhou University of Chinese Medicine, Guangzhou, China
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8
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Rekadwad BN, Shouche YS, Jangid K. A culture-independent approach, supervised machine learning, and the characterization of the microbial community composition of coastal areas across the Bay of Bengal and the Arabian Sea. BMC Microbiol 2024; 24:162. [PMID: 38730339 PMCID: PMC11084130 DOI: 10.1186/s12866-024-03295-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/03/2023] [Accepted: 04/04/2024] [Indexed: 05/12/2024] Open
Abstract
BACKGROUND Coastal areas are subject to various anthropogenic and natural influences. In this study, we investigated and compared the characteristics of two coastal regions, Andhra Pradesh (AP) and Goa (GA), focusing on pollution, anthropogenic activities, and recreational impacts. We explored three main factors influencing the differences between these coastlines: The Bay of Bengal's shallower depth and lower salinity; upwelling phenomena due to the thermocline in the Arabian Sea; and high tides that can cause strong currents that transport pollutants and debris. RESULTS The microbial diversity in GA was significantly higher than that in AP, which might be attributed to differences in temperature, soil type, and vegetation cover. 16S rRNA amplicon sequencing and bioinformatics analysis indicated the presence of diverse microbial phyla, including candidate phyla radiation (CPR). Statistical analysis, random forest regression, and supervised machine learning models classification confirm the diversity of the microbiome accurately. Furthermore, we have identified 450 cultures of heterotrophic, biotechnologically important bacteria. Some strains were identified as novel taxa based on 16S rRNA gene sequencing, showing promising potential for further study. CONCLUSION Thus, our study provides valuable insights into the microbial diversity and pollution levels of coastal areas in AP and GA. These findings contribute to a better understanding of the impact of anthropogenic activities and climate variations on biology of coastal ecosystems and biodiversity.
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Affiliation(s)
- Bhagwan Narayan Rekadwad
- National Centre for Microbial Resource, DBT - National Centre for Cell Science (DBT-NCCS), NCCS-Complex, Savitribai Phule Pune University (SPPU) Campus, Ganeshkhind Road, Pune, Maharashtra, 411007, India.
- MicrobeAI Lab, Division of Microbiology and Biotechnology, Yenepoya Research Centre, Yenepoya (Deemed to be University), University Road, Deralakatte, Mangalore, Karnataka, 575018, India.
| | - Yogesh Shreepad Shouche
- MicrobeAI Lab, Division of Microbiology and Biotechnology, Yenepoya Research Centre, Yenepoya (Deemed to be University), University Road, Deralakatte, Mangalore, Karnataka, 575018, India
- Gut Microbiology Research Division, SKAN Research Trust, Bangalore, Karnataka, 560034, India
| | - Kamlesh Jangid
- Bioenergy Group, DST-Agharkar Research Institute, Gopal Ganesh Agarkar Road, Pune, Maharashtra, 411 004, India
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Park G, Kim S, Lee W, Kim G, Shin H. Deciphering the Impact of Defecation Frequency on Gut Microbiome Composition and Diversity. Int J Mol Sci 2024; 25:4657. [PMID: 38731876 PMCID: PMC11083994 DOI: 10.3390/ijms25094657] [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: 02/20/2024] [Revised: 04/02/2024] [Accepted: 04/18/2024] [Indexed: 05/13/2024] Open
Abstract
This study explores the impact of defecation frequency on the gut microbiome structure by analyzing fecal samples from individuals categorized by defecation frequency: infrequent (1-3 times/week, n = 4), mid-frequent (4-6 times/week, n = 7), and frequent (daily, n = 9). Utilizing 16S rRNA gene-based sequencing and LC-MS/MS metabolome profiling, significant differences in microbial diversity and community structures among the groups were observed. The infrequent group showed higher microbial diversity, with community structures significantly varying with defecation frequency, a pattern consistent across all sampling time points. The Ruminococcus genus was predominant in the infrequent group, but decreased with more frequent defecation, while the Bacteroides genus was more common in the frequent group, decreasing as defecation frequency lessened. The infrequent group demonstrated enriched biosynthesis genes for aromatic amino acids and branched-chain amino acids (BCAAs), in contrast to the frequent group, which had a higher prevalence of genes for BCAA catabolism. Metabolome analysis revealed higher levels of metabolites derived from aromatic amino acids and BCAA metabolism in the infrequent group, and lower levels of BCAA-derived metabolites in the frequent group, consistent with their predicted metagenomic functions. These findings underscore the importance of considering stool consistency/frequency in understanding the factors influencing the gut microbiome.
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Affiliation(s)
- Gwoncheol Park
- Department of Food Science & Biotechnology, College of Life Science, Sejong University, Seoul 05006, Republic of Korea; (G.P.); (S.K.); (W.L.); (G.K.)
- Carbohydrate Bioproduct Research Center, Sejong University, Seoul 05006, Republic of Korea
- Department of Health, Nutrition & Food Sciences, College of Education, Health & Human Sciences, Florida State University, Tallahassee, FL 32306, USA
| | - Seongok Kim
- Department of Food Science & Biotechnology, College of Life Science, Sejong University, Seoul 05006, Republic of Korea; (G.P.); (S.K.); (W.L.); (G.K.)
- Carbohydrate Bioproduct Research Center, Sejong University, Seoul 05006, Republic of Korea
| | - WonJune Lee
- Department of Food Science & Biotechnology, College of Life Science, Sejong University, Seoul 05006, Republic of Korea; (G.P.); (S.K.); (W.L.); (G.K.)
- Carbohydrate Bioproduct Research Center, Sejong University, Seoul 05006, Republic of Korea
| | - Gyungcheon Kim
- Department of Food Science & Biotechnology, College of Life Science, Sejong University, Seoul 05006, Republic of Korea; (G.P.); (S.K.); (W.L.); (G.K.)
- Carbohydrate Bioproduct Research Center, Sejong University, Seoul 05006, Republic of Korea
| | - Hakdong Shin
- Department of Food Science & Biotechnology, College of Life Science, Sejong University, Seoul 05006, Republic of Korea; (G.P.); (S.K.); (W.L.); (G.K.)
- Carbohydrate Bioproduct Research Center, Sejong University, Seoul 05006, Republic of Korea
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10
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Li C, Han G, Huang L, Lu Y, Xia Y, Zhang N, Liu Q, Xu J. Metagenomic Analyses Reveal Gut Microbial Profiles of Cnaphalocrocis medinalis Driven by the Infection of Baculovirus CnmeGV. Microorganisms 2024; 12:757. [PMID: 38674701 PMCID: PMC11052019 DOI: 10.3390/microorganisms12040757] [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: 02/19/2024] [Revised: 03/20/2024] [Accepted: 04/06/2024] [Indexed: 04/28/2024] Open
Abstract
The composition of microbiota in the digestive tract gut is essential for insect physiology, homeostasis, and pathogen infection. Little is known about the interactions between microbiota load and oral infection with baculoviruses. CnmeGV is an obligative baculovirus to Cnaphalocrocis medinalis. We investigated the impact of CnmeGV infection on the structure of intestinal microbes of C. medinalis during the initial infection stage. The results revealed that the gut microbiota profiles were dynamically driven by pathogen infection of CnmeGV. The numbers of all the OTU counts were relatively higher at the early and later stages, while the microbial diversity significantly increased early but dropped sharply following the infection. The compositional abundance of domain bacteria Firmicutes developed substantially higher. The significantly enriched and depleted species can be divided into four groups at the species level. Fifteen of these species were ultimately predicted as the biomarkers of CnmeGV infection. CnmeGV infection induces significant enrichment of alterations in functional genes related to metabolism and the immune system, encompassing processes such as carbohydrate, amino acid, cofactor, and vitamin metabolism. Finally, the study may provide an in-depth analysis of the relationship between host microbiota, baculovirus infection, and pest control of C. medinalis.
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Affiliation(s)
| | | | | | | | | | | | | | - Jian Xu
- National Experimental Station of Yangzhou for Agricultural Microbiology, Jiangsu Lixiahe Institute of Agricultural Sciences, Yangzhou 225008, China; (C.L.); (G.H.); (L.H.); (Y.L.); (Y.X.); (N.Z.); (Q.L.)
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11
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Imdad S, So B, Jang J, Park J, Lee SJ, Kim JH, Kang C. Temporal variations in the gut microbial diversity in response to high-fat diet and exercise. Sci Rep 2024; 14:3282. [PMID: 38332014 PMCID: PMC10853223 DOI: 10.1038/s41598-024-52852-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/16/2023] [Accepted: 01/24/2024] [Indexed: 02/10/2024] Open
Abstract
High-fat diet-induced obesity is a pandemic caused by an inactive lifestyle and increased consumption of Western diets and is a major risk factor for diabetes and cardiovascular diseases. In contrast, exercise can positively influence gut microbial diversity and is linked to a decreased inflammatory state. To understand the gut microbial variations associated with exercise and high-fat diet over time, we conducted a longitudinal study to examine the effect of covariates on gut microbial diversity and composition. Young mice were divided into four groups: Chow-diet (CHD), high-fat diet (HFD), high-fat diet + exercise (HFX), and exercise only (EXE) and underwent experimental intervention for 12 weeks. Fecal samples at week 0 and 12 were collected for DNA extraction, followed by 16S library preparation and sequencing. Data were analyzed using QIIME 2, R and MicrobiomeAnalyst. The Bacteroidetes-to-Firmicutes ratio decreased fivefold in the HFD and HFX groups compared to that in the CHD and EXE groups and increased in the EXE group over time. Alpha diversity was significantly increased in the EXE group longitudinally (p < 0.02), whereas diversity (Shannon, Faith's PD, and Fisher) and richness (ACE) was significantly reduced in the HFD (p < 0.005) and HFX (p < 0.03) groups over time. Beta diversity, based on the Jaccard, Bray-Curtis, and unweighted UniFrac distance metrics, was significant among the groups. Prevotella, Paraprevotella, Candidatus arthromitus, Lactobacillus salivarius, L. reuteri, Roseburia, Bacteroides uniformis, Sutterella, and Corynebacterium were differentially abundant in the chow-diet groups (CHD and EXE). Exercise significantly reduced the proportion of taxa characteristic of a high-fat diet, including Butyricimonas, Ruminococcus gnavus, and Mucispirillum schaedleri. Diet, age, and exercise significantly contributed to explaining the bacterial community structure and diversity in the gut microbiota. Modulating the gut microbiota and maintaining its stability can lead to targeted microbiome therapies to manage chronic and recurrent diseases and infections.
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Affiliation(s)
- Saba Imdad
- Molecular Metabolism in Health and Disease, Exercise Physiology Laboratory, Sport Science Research Institute, Inha University, Incheon, 22212, South Korea
- Department of Biomedical Laboratory Science, College of Health Science, Cheongju University, Cheongju, 28503, South Korea
| | - Byunghun So
- Molecular Metabolism in Health and Disease, Exercise Physiology Laboratory, Sport Science Research Institute, Inha University, Incheon, 22212, South Korea
| | - Junho Jang
- Molecular Metabolism in Health and Disease, Exercise Physiology Laboratory, Sport Science Research Institute, Inha University, Incheon, 22212, South Korea
| | - Jinhan Park
- Molecular Metabolism in Health and Disease, Exercise Physiology Laboratory, Sport Science Research Institute, Inha University, Incheon, 22212, South Korea
| | - Sam-Jun Lee
- Department of Sport Rehabilitation, College of Health, Welfare, and Education, Tong Myong University, Busan, 48520, South Korea
| | - Jin-Hee Kim
- Department of Biomedical Laboratory Science, College of Health Science, Cheongju University, Cheongju, 28503, South Korea.
| | - Chounghun Kang
- Molecular Metabolism in Health and Disease, Exercise Physiology Laboratory, Sport Science Research Institute, Inha University, Incheon, 22212, South Korea.
- Department of Physical Education, College of Education, Inha University, Incheon, 22212, South Korea.
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12
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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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13
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Vänni P, Tejesvi MV, Paalanne N, Aagaard K, Ackermann G, Camargo CA, Eggesbø M, Hasegawa K, Hoen AG, Karagas MR, Kolho KL, Laursen MF, Ludvigsson J, Madan J, Ownby D, Stanton C, Stokholm J, Tapiainen T. Machine-learning analysis of cross-study samples according to the gut microbiome in 12 infant cohorts. mSystems 2023; 8:e0036423. [PMID: 37874156 PMCID: PMC10734493 DOI: 10.1128/msystems.00364-23] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/14/2023] [Accepted: 09/13/2023] [Indexed: 10/25/2023] Open
Abstract
IMPORTANCE There are challenges in merging microbiome data from diverse research groups due to the intricate and multifaceted nature of such data. To address this, we utilized a combination of machine-learning (ML) models to analyze 16S sequencing data from a substantial set of gut microbiome samples, sourced from 12 distinct infant cohorts that were gathered prospectively. Our initial focus was on the mode of delivery due to its prior association with changes in infant gut microbiomes. Through ML analysis, we demonstrated the effective merging and comparison of various gut microbiome data sets, facilitating the identification of robust microbiome biomarkers applicable across varied study populations.
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Affiliation(s)
- Petri Vänni
- Research Unit of Clinical Medicine, University of Oulu, Oulu, Finland
| | - Mysore V. Tejesvi
- Research Unit of Clinical Medicine, University of Oulu, Oulu, Finland
- Ecology and Genetics, Faculty of Science, University of Oulu, Oulu, Finland
| | - Niko Paalanne
- Research Unit of Clinical Medicine, University of Oulu, Oulu, Finland
- Department of Pediatrics and Adolescent Medicine, Oulu University Hospital, University of Oulu, Oulu, Finland
| | - Kjersti Aagaard
- Department of Obstetrics & Gynecology, Division of Maternal-Fetal Medicine, Baylor College of Medicine and Texas Children’s Hospital, Houston, Texas, USA
| | - Gail Ackermann
- Department of Pediatrics, University of California, San Diego, California, USA
| | - Carlos A. Camargo
- Department of Emergency Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA
| | - Merete Eggesbø
- Department of Climate and Environmental Health, Norwegian Institute of Public Health, Oslo, Norway
- Department of Clinical and Molecular Medicine, Norwegian University of Science and Technology, Trondheim, Norway
| | - Kohei Hasegawa
- Department of Emergency Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA
| | - Anne G. Hoen
- Department of Epidemiology, Geisel School of Medicine, Dartmouth College, Hanover, New Hampshire, USA
| | - Margaret R. Karagas
- Department of Epidemiology, Geisel School of Medicine, Dartmouth College, Hanover, New Hampshire, USA
| | - Kaija-Leena Kolho
- Children’s Hospital, University of Helsinki and HUS, Helsinki, Finland
| | - Martin F. Laursen
- National Food Institute, Technical University of Denmark, Lyngby, Denmark
| | - Johnny Ludvigsson
- Crown Princess Victoria Children’s Hospital and Division of Pediatrics, Department of Biomedical and Clinical Sciences, Linköping University, Linköping, Sweden
| | - Juliette Madan
- Department of Psychiatry, Dartmouth Hitchcock Medical Center, Geisel School of Medicine at Dartmouth, Lebanon, New Hampshire, USA
- Department of Pediatrics, Dartmouth Hitchcock Medical Center, Geisel School of Medicine at Dartmouth, Lebanon, New Hampshire, USA
| | - Dennis Ownby
- Medical College of Georgia, Augusta, Georgia, USA
| | - Catherine Stanton
- Teagasc Food Research Centre & APC Microbiome Ireland, Moorepark, Fermoy, Co. Cork, Ireland
| | - Jakob Stokholm
- Herlev and Gentofte Hospital, University of Copenhagen, Copenhagen, Denmark
- Department of Food Science, University of Copenhagen, Copenhagen, Denmark
| | - Terhi Tapiainen
- Research Unit of Clinical Medicine, University of Oulu, Oulu, Finland
- Department of Obstetrics & Gynecology, Division of Maternal-Fetal Medicine, Baylor College of Medicine and Texas Children’s Hospital, Houston, Texas, USA
- Biocenter Oulu, University of Oulu, Oulu, Finland
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14
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Montoya-Ciriaco N, Hereira-Pacheco S, Estrada-Torres A, Dendooven L, Méndez de la Cruz FR, Gómez-Acata ES, Díaz de la Vega-Pérez AH, Navarro-Noya YE. Maternal transmission of bacterial microbiota during embryonic development in a viviparous lizard. Microbiol Spectr 2023; 11:e0178023. [PMID: 37847033 PMCID: PMC10714757 DOI: 10.1128/spectrum.01780-23] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/09/2023] [Accepted: 09/08/2023] [Indexed: 10/18/2023] Open
Abstract
IMPORTANCE We investigated the presence and diversity of bacteria in the embryos of the viviparous lizard Sceloporus grammicus and their amniotic environment. We compared this diversity to that found in the maternal intestine, mouth, and cloaca. We detected bacterial DNA in the embryos, albeit with a lower bacterial species diversity than found in maternal tissues. Most of the bacterial species detected in the embryos were also found in the mother, although not all of them. Interestingly, we detected a high similarity in the composition of bacterial species among embryos from different mothers. These findings suggest that there may be a mechanism controlling the transmission of bacteria from the mother to the embryo. Our results highlight the possibility that the interaction between maternal bacteria and the embryo may affect the development of the lizards.
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Affiliation(s)
- Nina Montoya-Ciriaco
- Doctorado en Ciencias Biológicas, Centro Tlaxcala de Biología de la Conducta, Universidad Autónoma de Tlaxcala, Tlaxcala, Mexico
| | - Stephanie Hereira-Pacheco
- Estación Científica La Malinche, Centro Tlaxcala de Biología de la Conducta, Universidad Autónoma de Tlaxcala, Tlaxcala, Mexico
| | - Arturo Estrada-Torres
- Estación Científica La Malinche, Centro Tlaxcala de Biología de la Conducta, Universidad Autónoma de Tlaxcala, Tlaxcala, Mexico
| | - Luc Dendooven
- Laboratory of Soil Ecology, CINVESTAV, Mexico City, Mexico
| | - Fausto R. Méndez de la Cruz
- Departamento de Zoología, Instituto de Biología, Universidad Nacional Autónoma de México, Ciudad de México, Mexico
| | - Elizabeth Selene Gómez-Acata
- Laboratorio de Interacciones Bióticas, Centro de Investigación en Ciencias Biológicas, Universidad Autónoma de Tlaxcala, Tlaxcala, Mexico
| | - Aníbal H. Díaz de la Vega-Pérez
- Consejo Nacional de Ciencia, Humanidades y Tecnología-Centro Tlaxcala de Biología de la Conducta, Universidad Autónoma de Tlaxcala., Tlaxcala, Mexico
| | - Yendi E. Navarro-Noya
- Laboratorio de Interacciones Bióticas, Centro de Investigación en Ciencias Biológicas, Universidad Autónoma de Tlaxcala, Tlaxcala, Mexico
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15
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Hampel JJ, Moseley RD, Hamdan LJ. Microbiomes respond predictably to built habitats on the seafloor. Mol Ecol 2023; 32:6686-6695. [PMID: 35567341 DOI: 10.1111/mec.16504] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/15/2021] [Revised: 04/14/2022] [Accepted: 05/05/2022] [Indexed: 11/26/2022]
Abstract
The seafloor contains complex ecosystems where habitat heterogeneity influences biodiversity. Natural biological and geological features including vents, seeps and reefs create habitats that select for distinct populations of micro- and macrofauna. While largely studied for macrobiological diversity, built habitats may also select distinct microbiomes. Built habitat density on the seafloor is increasing with ocean sprawl expanding in the continental shelf and slope, potentially having widespread effects on benthic communities. This study addresses one type of built habitat, shipwrecks, on microbiomes in surrounding sediment. Using deep-sea sediment samples (762 total) from the Gulf of Mexico, we report elevated diversity and a predictable core microbiome around nine shipwrecks. We show the sphere of influence of built habitats extends up to 300 m onto the seafloor. Supervised learning made predictions of sample proximity to structures based on frequency of taxa. Strongest predictions occurred in sediments nearest and furthest from sites for archaea and mid-transect for bacteria. The response of archaea to built habitats was consistent across sites, while bacteria showed greater between site variability. The archaeal core shipwreck microbiome was enriched in taxa (e.g., Bathyarchaeia, Lokiarchaeia, Thermoplasmata) not present in the surrounding seafloor. Shipwrecks shaped microbiomes in expected ways, providing insight on how built habitats impact microbiome biodiversity in the Anthropocene.
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Affiliation(s)
- Justyna J Hampel
- School of Ocean Science and Engineering, University of Southern Mississippi, Ocean Springs, Mississippi, USA
- Department of Ecology, Environment, and Plant Sciences, Science for Life Laboratory, Stockholm University, Stockholm, Sweden
| | - Rachel D Moseley
- School of Ocean Science and Engineering, University of Southern Mississippi, Ocean Springs, Mississippi, USA
| | - Leila J Hamdan
- School of Ocean Science and Engineering, University of Southern Mississippi, Ocean Springs, Mississippi, USA
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16
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Liu B, Sträuber H, Centler F, Harms H, da Rocha UN, Kleinsteuber S. Functional Redundancy Secures Resilience of Chain Elongation Communities upon pH Shifts in Closed Bioreactor Ecosystems. ENVIRONMENTAL SCIENCE & TECHNOLOGY 2023; 57:18350-18361. [PMID: 37097211 PMCID: PMC10666546 DOI: 10.1021/acs.est.2c09573] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/20/2022] [Revised: 04/13/2023] [Accepted: 04/13/2023] [Indexed: 06/19/2023]
Abstract
For anaerobic mixed cultures performing microbial chain elongation, it is unclear how pH alterations affect the abundance of key players, microbial interactions, and community functioning in terms of medium-chain carboxylate yields. We explored pH effects on mixed cultures enriched in continuous anaerobic bioreactors representing closed model ecosystems. Gradual pH increase from 5.5 to 6.5 induced dramatic shifts in community composition, whereas product range and yields returned to previous states after transient fluctuations. To understand community responses to pH perturbations over long-term reactor operation, we applied Aitchison PCA clustering, linear mixed-effects models, and random forest classification on 16S rRNA gene amplicon sequencing and process data. Different pH preferences of two key chain elongation species─one Clostridium IV species related to Ruminococcaceae bacterium CPB6 and one Clostridium sensu stricto species related to Clostridium luticellarii─were determined. Network analysis revealed positive correlations of Clostridium IV with lactic acid bacteria, which switched from Olsenella to Lactobacillus along the pH increase, illustrating the plasticity of the food web in chain elongation communities. Despite long-term cultivation in closed systems over the pH shift experiment, the communities retained functional redundancy in fermentation pathways, reflected by the emergence of rare species and concomitant recovery of chain elongation functions.
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Affiliation(s)
- Bin Liu
- Department
of Environmental Microbiology, Helmholtz
Centre for Environmental Research − UFZ, 04318 Leipzig, Germany
- KU
Leuven, Department of Microbiology,
Immunology and Transplantation, Rega Institute for Medical Research,
Laboratory of Molecular Bacteriology, BE-3000 Leuven, Belgium
| | - Heike Sträuber
- Department
of Environmental Microbiology, Helmholtz
Centre for Environmental Research − UFZ, 04318 Leipzig, Germany
| | - Florian Centler
- Department
of Environmental Microbiology, Helmholtz
Centre for Environmental Research − UFZ, 04318 Leipzig, Germany
- School
of Life Sciences, University of Siegen, 57076 Siegen, Germany
| | - Hauke Harms
- Department
of Environmental Microbiology, Helmholtz
Centre for Environmental Research − UFZ, 04318 Leipzig, Germany
| | - Ulisses Nunes da Rocha
- Department
of Environmental Microbiology, Helmholtz
Centre for Environmental Research − UFZ, 04318 Leipzig, Germany
| | - Sabine Kleinsteuber
- Department
of Environmental Microbiology, Helmholtz
Centre for Environmental Research − UFZ, 04318 Leipzig, Germany
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17
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Hu M, Yan R, Wu H, Ni R, Zhang D, Zou S. Linking soil phosphorus availability and phosphatase functional genes to coastal marsh erosion: Implications for nutrient cycling and wetland restoration. THE SCIENCE OF THE TOTAL ENVIRONMENT 2023; 898:165559. [PMID: 37454858 DOI: 10.1016/j.scitotenv.2023.165559] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/26/2023] [Revised: 07/13/2023] [Accepted: 07/13/2023] [Indexed: 07/18/2023]
Abstract
Accelerated marsh erosion caused by climate change and human activity may have important implications for nutrient cycling and availability. However, how erosion affects phosphorus (P) transformation and microbial function in subtropical coastal marshes remains largely unknown. Here we assessed soil P fractions, availability and the phoD-harboring bacterial community along a marsh erosion gradient (non-eroded, lightly eroded, and heavily eroded). We showed that marsh erosion caused a shift in P fractions, leading to a decrease in P availability and a reduction in concentrations of labile P, moderately labile P, and stable P by 20 %, 9 %, and 17 % respectively. The abundance and diversity of phoD phosphatase genes decreased dramatically along the erosion gradient and were lower at heavily eroded sites than at non-eroded sites. Marsh erosion reshaped phoD gene community composition, and Corallococcus, Amycolatopsis, and Phaeobacter were identified as the dominant phoD-harboring microbes. Notably, marsh erosion reduced the complexity and stability of the phoD-harboring bacterial network, and heavily eroded sites have fewer network edges and nodes than non-eroded sites. The dynamics of soil P fractions, availability, and phoD-harboring bacterial communities driven by marsh erosion are largely shaped by substrate availability and soil properties (e.g., nutrients, pH, electrical conductivity, and moisture). Additionally, strong linkages between P availability and the abundance and diversity of phosphatase genes following erosion, suggest that phosphatase drives P mineralization and dissolution, and erosion weakens the regulation of P transformation by reshaping the phoD phosphatase gene community. Our findings indicate that marsh erosion alters soil P fractions and phoD-harboring bacterial communities, which weakens microbial regulation of P transformation and availability, thereby significantly reducing soil P pools and availability. Our findings broaden understanding of the impacts of coastal erosion on nutrient balance and ecosystem function, offering valuable perspectives that could inform wetland restoration and coastal management strategies.
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Affiliation(s)
- Minjie Hu
- Key Laboratory of Humid Sub-tropical Eco-geographical Process of Ministry of Education, Fujian Normal University, Fuzhou 350117, China; School of Geographical Sciences, Fujian Normal University, Fuzhou 350117, China; Wetland Ecosystem Research Station of Minjiang Estuary, National Forestry and Grassland Administration, Fuzhou 350215, China.
| | - Ruibing Yan
- School of Geographical Sciences, Fujian Normal University, Fuzhou 350117, China
| | - Hui Wu
- School of Geographical Sciences, Fujian Normal University, Fuzhou 350117, China
| | - Ranxu Ni
- School of Geographical Sciences, Fujian Normal University, Fuzhou 350117, China
| | - Dianquan Zhang
- Fuding Forestry Development Center, Fuding 355200, China
| | - Shuangquan Zou
- Forestry College, Fujian Agriculture and Forestry University, Fuzhou 350002, China
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18
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Toyomane K, Akutsu T, Watanabe K, Yamagishi T, Kubota S. Potential application of Staphylococcus species detection in the specific identification of saliva. Leg Med (Tokyo) 2023; 65:102320. [PMID: 37657351 DOI: 10.1016/j.legalmed.2023.102320] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/01/2023] [Revised: 08/20/2023] [Accepted: 08/23/2023] [Indexed: 09/03/2023]
Abstract
When found at crime scenes, saliva constitutes forensically relevant evidence. Although several tests have been developed to effectively identify saliva in such circumstances, most cannot discriminate between saliva and nasal secretion. Recently, studies have developed saliva tests involving oral bacteria as salivary markers. Although the specificity of such tests has been evaluated on most biological specimens, their specificity for nasal secretion samples remains to be tested. Herein, to improve the specificity of the saliva detection tests for nasal secretion samples, we reanalyzed a public microbiome dataset and conducted inhouse 16S rRNA sequencing to identify a new marker to distinguish between saliva and nasal secretions. The sequencing data indicated the existence of oral bacteria such as Streptococcus in nasal secretion samples, which may be responsible for the false positives in the saliva tests. Furthermore, we found that including the 16S rRNA gene of the genus Staphylococcus as a nasal secretion marker may improve the specificity of PCR-based saliva tests for nasal secretion samples. In addition, we assessed the specificity of previously developed salivary bacteria detection tests for nasal secretion samples and oral bacterial markers were detected in two of eight nasal secretion samples, which led to the false positive results for saliva detection. Thus, the specificity of such tests can be improved by adding Staphylococcus as a nasal marker, as revealed by our sequencing analysis.
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Affiliation(s)
- Kochi Toyomane
- National Research Institute of Police Science, 6-3-1 Kashiwanoha, Kashiwa, Chiba 277-0882, Japan.
| | - Tomoko Akutsu
- National Research Institute of Police Science, 6-3-1 Kashiwanoha, Kashiwa, Chiba 277-0882, Japan
| | - Ken Watanabe
- National Research Institute of Police Science, 6-3-1 Kashiwanoha, Kashiwa, Chiba 277-0882, Japan
| | - Takayuki Yamagishi
- National Research Institute of Police Science, 6-3-1 Kashiwanoha, Kashiwa, Chiba 277-0882, Japan
| | - Satoshi Kubota
- National Research Institute of Police Science, 6-3-1 Kashiwanoha, Kashiwa, Chiba 277-0882, Japan
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Garcia-Mazcorro JF, Amieva-Balmori M, Triana-Romero A, Wilson B, Smith L, Reyes-Huerta J, Rossi M, Whelan K, Remes-Troche JM. Fecal Microbial Composition and Predicted Functional Profile in Irritable Bowel Syndrome Differ between Subtypes and Geographical Locations. Microorganisms 2023; 11:2493. [PMID: 37894151 PMCID: PMC10608977 DOI: 10.3390/microorganisms11102493] [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: 08/16/2023] [Revised: 09/25/2023] [Accepted: 09/27/2023] [Indexed: 10/29/2023] Open
Abstract
Increasing evidence suggests a microbial pathogenesis in irritable bowel syndrome (IBS) but the relationship remains elusive. Fecal DNA samples from 120 patients with IBS, 82 Mexican (IBS-C: n = 33, IBS-D: n = 24, IBS-M: n = 25) and 38 British (IBS-C: n = 6, IBS-D: n = 27, IBS-M: n = 5), were available for analysis using 16S rRNA gene sequencing. Firmicutes (mean: 82.1%), Actinobacteria (10.2%), and Bacteroidetes (4.4%) were the most abundant taxa. The analysis of all samples (n = 120), and females (n = 94) only, showed no significant differences in bacterial microbiota, but the analysis of Mexican patients (n = 82) showed several differences in key taxa (e.g., Faecalibacterium) among the different IBS subtypes. In IBS-D there were significantly higher Bacteroidetes in British patients (n = 27) than in Mexican patients (n = 24), suggesting unique fecal microbiota signatures within the same IBS subtype. These differences in IBS-D were also observed at lower phylogenetic levels (e.g., higher Enterobacteriaceae and Streptococcus in Mexican patients) and were accompanied by differences in several alpha diversity metrics. Beta diversity was not different among IBS subtypes when using all samples, but the analysis of IBS-D patients revealed consistent differences between Mexican and British patients. This study suggests that fecal microbiota is different between IBS subtypes and also within each subtype depending on geographical location.
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Affiliation(s)
| | - Mercedes Amieva-Balmori
- Instituto de Investigaciones Médico Biológicas, Universidad Veracruzana, Veracruz 91700, Mexico
| | - Arturo Triana-Romero
- Instituto de Investigaciones Médico Biológicas, Universidad Veracruzana, Veracruz 91700, Mexico
| | - Bridgette Wilson
- Department of Nutritional Sciences, King’s College London, London WC2R 2LS, UK
| | - Leanne Smith
- Department of Nutritional Sciences, King’s College London, London WC2R 2LS, UK
| | - Job Reyes-Huerta
- Instituto de Investigaciones Médico Biológicas, Universidad Veracruzana, Veracruz 91700, Mexico
| | - Megan Rossi
- Department of Nutritional Sciences, King’s College London, London WC2R 2LS, UK
| | - Kevin Whelan
- Department of Nutritional Sciences, King’s College London, London WC2R 2LS, UK
| | - Jose M. Remes-Troche
- Instituto de Investigaciones Médico Biológicas, Universidad Veracruzana, Veracruz 91700, Mexico
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20
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Regueira-Iglesias A, Balsa-Castro C, Blanco-Pintos T, Tomás I. Critical review of 16S rRNA gene sequencing workflow in microbiome studies: From primer selection to advanced data analysis. Mol Oral Microbiol 2023; 38:347-399. [PMID: 37804481 DOI: 10.1111/omi.12434] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2023] [Revised: 09/01/2023] [Accepted: 09/14/2023] [Indexed: 10/09/2023]
Abstract
The multi-batch reanalysis approach of jointly reevaluating gene/genome sequences from different works has gained particular relevance in the literature in recent years. The large amount of 16S ribosomal ribonucleic acid (rRNA) gene sequence data stored in public repositories and information in taxonomic databases of the same gene far exceeds that related to complete genomes. This review is intended to guide researchers new to studying microbiota, particularly the oral microbiota, using 16S rRNA gene sequencing and those who want to expand and update their knowledge to optimise their decision-making and improve their research results. First, we describe the advantages and disadvantages of using the 16S rRNA gene as a phylogenetic marker and the latest findings on the impact of primer pair selection on diversity and taxonomic assignment outcomes in oral microbiome studies. Strategies for primer selection based on these results are introduced. Second, we identified the key factors to consider in selecting the sequencing technology and platform. The process and particularities of the main steps for processing 16S rRNA gene-derived data are described in detail to enable researchers to choose the most appropriate bioinformatics pipeline and analysis methods based on the available evidence. We then produce an overview of the different types of advanced analyses, both the most widely used in the literature and the most recent approaches. Several indices, metrics and software for studying microbial communities are included, highlighting their advantages and disadvantages. Considering the principles of clinical metagenomics, we conclude that future research should focus on rigorous analytical approaches, such as developing predictive models to identify microbiome-based biomarkers to classify health and disease states. Finally, we address the batch effect concept and the microbiome-specific methods for accounting for or correcting them.
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Affiliation(s)
- Alba Regueira-Iglesias
- Oral Sciences Research Group, Special Needs Unit, Department of Surgery and Medical-Surgical Specialties, School of Medicine and Dentistry, Universidade de Santiago de Compostela, Health Research Institute of Santiago de Compostela (IDIS), Santiago de Compostela, A Coruña, Spain
| | - Carlos Balsa-Castro
- Oral Sciences Research Group, Special Needs Unit, Department of Surgery and Medical-Surgical Specialties, School of Medicine and Dentistry, Universidade de Santiago de Compostela, Health Research Institute of Santiago de Compostela (IDIS), Santiago de Compostela, A Coruña, Spain
| | - Triana Blanco-Pintos
- Oral Sciences Research Group, Special Needs Unit, Department of Surgery and Medical-Surgical Specialties, School of Medicine and Dentistry, Universidade de Santiago de Compostela, Health Research Institute of Santiago de Compostela (IDIS), Santiago de Compostela, A Coruña, Spain
| | - Inmaculada Tomás
- Oral Sciences Research Group, Special Needs Unit, Department of Surgery and Medical-Surgical Specialties, School of Medicine and Dentistry, Universidade de Santiago de Compostela, Health Research Institute of Santiago de Compostela (IDIS), Santiago de Compostela, A Coruña, Spain
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21
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Liu RH, Sun AQ, Liao Y, Tang ZX, Zhang SH, Shan X, Hu JT. Lactiplantibacillus plantarum Regulated Intestinal Microbial Community and Cytokines to Inhibit Salmonella typhimurium Infection. Probiotics Antimicrob Proteins 2023; 15:1355-1370. [PMID: 36074298 DOI: 10.1007/s12602-022-09987-5] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 08/24/2022] [Indexed: 11/25/2022]
Abstract
Lactic acid bacteria (LAB) are recognized as food-grade safe microorganisms and have many beneficial effects. LAB could maintain the host intestinal homeostasis and regulate intestinal microbial community to exert antibacterial effects. In this study, Lactiplantibacillus plantarum (L. plantarum, Lp01) strain isolated from pig intestine was orally administered to C57BL/6 mice, and mice were then infected with Salmonella typhimurium (ATCC14028). The protective effects of L. plantarum were evaluated by monitoring body weight loss, survival rates, bacterial loads in tissue, colon histopathology analysis, and cytokine secretion. 16S rRNA gene sequencing was also utilized to detect the dynamics of the blind gut microbial community in mice. We found that L. plantarum could significantly reduce the body weight loss and improve the survival rates. The survival rate in the L. P-Sty group was up to 67.5%, which was much higher than that in the STY group (25%). Counting of bacterial loads displayed that the colony-forming unit (CFU) of S. typhimurium in the spleen (p < 0.05) and the liver (p < 0.05) from L. P-Sty group both decreased, compared with STY group. Intestinal histopathology showed that it alleviated the intestinal injury caused by Salmonella, inhibited the secretion of pro-inflammatory cytokines, and promoted anti-inflammatory cytokines (p < 0. 01). In addition, L. plantarum also significantly ameliorated the intestinal gut microbiome disturbance caused by Salmonella. It displayed an obvious increase of beneficial bacteria including Lactobacillus and Bacteroidetes and reduction of pathogenic bacteria like Proteobacteria. In conclusion, L. plantarum could regulate microbial community to inhibit Salmonella typhimurium infection.
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Affiliation(s)
- Rui-Han Liu
- College of Animal Science and Technology, Jilin Provincial Engineering Research Center of Animal Probiotics, Key Laboratory of Animal Production and Product Quality Safety of Ministry of Education, Jilin Agricultural University, Changchun, China
| | - An-Qi Sun
- College of Animal Science and Technology, Jilin Provincial Engineering Research Center of Animal Probiotics, Key Laboratory of Animal Production and Product Quality Safety of Ministry of Education, Jilin Agricultural University, Changchun, China
| | - Ye Liao
- College of Animal Science and Technology, Jilin Provincial Engineering Research Center of Animal Probiotics, Key Laboratory of Animal Production and Product Quality Safety of Ministry of Education, Jilin Agricultural University, Changchun, China
| | - Zheng-Xu Tang
- College of Animal Science and Technology, Jilin Provincial Engineering Research Center of Animal Probiotics, Key Laboratory of Animal Production and Product Quality Safety of Ministry of Education, Jilin Agricultural University, Changchun, China
| | - Shi-Han Zhang
- College of Animal Science and Technology, Jilin Provincial Engineering Research Center of Animal Probiotics, Key Laboratory of Animal Production and Product Quality Safety of Ministry of Education, Jilin Agricultural University, Changchun, China
| | - Xin Shan
- College of Animal Science and Technology, Jilin Provincial Engineering Research Center of Animal Probiotics, Key Laboratory of Animal Production and Product Quality Safety of Ministry of Education, Jilin Agricultural University, Changchun, China
| | - Jing-Tao Hu
- College of Animal Science and Technology, Jilin Provincial Engineering Research Center of Animal Probiotics, Key Laboratory of Animal Production and Product Quality Safety of Ministry of Education, Jilin Agricultural University, Changchun, China.
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22
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Benton L, Lopez-Galvez N, Herman C, Caporaso G, Cope E, Rosales C, Gameros M, Lothrop N, Martínez F, Wright A, Carr T, Beamer P. Environmental and Structural Factors Associated with Bacterial Diversity in Household Dust Across the Arizona-Sonora Border. RESEARCH SQUARE 2023:rs.3.rs-3325336. [PMID: 37841844 PMCID: PMC10571632 DOI: 10.21203/rs.3.rs-3325336/v1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/17/2023]
Abstract
We previously reported that asthma prevalence was higher in the United States (US) compared to Mexico (MX) (25.8% vs 8.4%). This investigation assessed differences in microbial dust composition in relation to demographic and housing characteristics on both sides of the US-MX Border. Forty homes were recruited in the US and MX. Home visits collected floor dust and documented occupants' demographics, asthma prevalence, and housing structure and use characteristics. US households were more likely to have inhabitants who reported asthma when compared with MX households (30% vs 5%) and had significantly different flooring types. The percentage of households on paved roads, with flushing toilets, with piped water and with air conditioning was higher in the US, while dust load was higher in MX. Significant differences exist between countries in the microbial composition of the floor dust. Dust from US homes was enriched with Geodermatophilus, whereas dust from Mexican homes was enriched with Alishewanella and Chryseomicrobium. A predictive metagenomics analysis identified 68 significantly differentially abundant functional pathways between US and MX. This study documented multiple structural, environmental, and demographic differences between homes in the US and MX that may contribute to significantly different microbial composition of dust observed in these two countries.
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23
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Bubeck AM, Urbain P, Horn C, Jung AS, Ferrari L, Ruple HK, Podlesny D, Zorn S, Laupsa-Borge J, Jensen C, Lindseth I, Lied GA, Dierkes J, Mellgren G, Bertz H, Matysik S, Krautbauer S, Liebisch G, Schoett HF, Dankel SN, Fricke WF. High-fat diet impact on intestinal cholesterol conversion by the microbiota and serum cholesterol levels. iScience 2023; 26:107697. [PMID: 37694136 PMCID: PMC10485154 DOI: 10.1016/j.isci.2023.107697] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2022] [Revised: 06/02/2023] [Accepted: 08/18/2023] [Indexed: 09/12/2023] Open
Abstract
Cholesterol-to-coprostanol conversion by the intestinal microbiota has been suggested to reduce intestinal and serum cholesterol availability, but the relationship between intestinal cholesterol conversion and the gut microbiota, dietary habits, and serum lipids has not been characterized in detail. We measured conserved proportions of cholesterol high and low-converter types in individuals with and without obesity from two distinct, independent low-carbohydrate high-fat (LCHF) dietary intervention studies. Across both cohorts, cholesterol conversion increased in previous low-converters after LCHF diet and was positively correlated with the fecal relative abundance of Eubacterium coprostanoligenes. Lean cholesterol high-converters had increased serum triacylglycerides and decreased HDL-C levels before LCHF diet and responded to the intervention with increased LDL-C, independently of fat, cholesterol, and saturated fatty acid intake. Our findings identify the cholesterol high-converter type as a microbiome marker, which in metabolically healthy lean individuals is associated with increased LDL-C in response to LCHF.
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Affiliation(s)
- Alena M. Bubeck
- Department of Microbiome Research and Applied Bioinformatics, Institute of Nutritional Sciences, University of Hohenheim, Stuttgart, Germany
| | - Paul Urbain
- Department of Medicine I, Medical Center – University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany
| | - Cathrine Horn
- Mohn Nutrition Research Laboratory, Centre for Nutrition, Department of Clinical Science, University of Bergen, Bergen, Norway
- Mohn Nutrition Research Laboratory, Centre for Nutrition, Department of Clinical Medicine, University of Bergen, Bergen, Norway
| | - Anna S. Jung
- Department of Microbiome Research and Applied Bioinformatics, Institute of Nutritional Sciences, University of Hohenheim, Stuttgart, Germany
| | - Lisa Ferrari
- Department of Microbiome Research and Applied Bioinformatics, Institute of Nutritional Sciences, University of Hohenheim, Stuttgart, Germany
| | - Hannah K. Ruple
- Department of Microbiome Research and Applied Bioinformatics, Institute of Nutritional Sciences, University of Hohenheim, Stuttgart, Germany
| | - Daniel Podlesny
- Department of Microbiome Research and Applied Bioinformatics, Institute of Nutritional Sciences, University of Hohenheim, Stuttgart, Germany
| | - Stefanie Zorn
- Department of Medicine I, Medical Center – University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany
| | - Johnny Laupsa-Borge
- Mohn Nutrition Research Laboratory, Centre for Nutrition, Department of Clinical Science, University of Bergen, Bergen, Norway
| | - Caroline Jensen
- Mohn Nutrition Research Laboratory, Centre for Nutrition, Department of Clinical Science, University of Bergen, Bergen, Norway
- Mohn Nutrition Research Laboratory, Centre for Nutrition, Department of Clinical Medicine, University of Bergen, Bergen, Norway
| | | | - Gülen Arslan Lied
- Mohn Nutrition Research Laboratory, Centre for Nutrition, Department of Clinical Medicine, University of Bergen, Bergen, Norway
| | - Jutta Dierkes
- Mohn Nutrition Research Laboratory, Centre for Nutrition, Department of Clinical Medicine, University of Bergen, Bergen, Norway
| | - Gunnar Mellgren
- Mohn Nutrition Research Laboratory, Centre for Nutrition, Department of Clinical Science, University of Bergen, Bergen, Norway
- Mohn Nutrition Research Laboratory, Centre for Nutrition, Department of Clinical Medicine, University of Bergen, Bergen, Norway
| | - Hartmut Bertz
- Department of Medicine I, Medical Center – University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany
- Department of Hematology, Oncology and Stem Cell Transplantation, Medical Center - University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany
| | - Silke Matysik
- Institute of Clinical Chemistry and Laboratory Medicine, University Hospital Regensburg, Regensburg, Germany
| | - Sabrina Krautbauer
- Institute of Clinical Chemistry and Laboratory Medicine, University Hospital Regensburg, Regensburg, Germany
| | - Gerhard Liebisch
- Institute of Clinical Chemistry and Laboratory Medicine, University Hospital Regensburg, Regensburg, Germany
| | - Hans-Frieder Schoett
- Singapore Lipidomics Incubator (SLING), Life Sciences Institute, National University of Singapore, Singapore, Singapore
| | - Simon N. Dankel
- Mohn Nutrition Research Laboratory, Centre for Nutrition, Department of Clinical Science, University of Bergen, Bergen, Norway
- Mohn Nutrition Research Laboratory, Centre for Nutrition, Department of Clinical Medicine, University of Bergen, Bergen, Norway
| | - W. Florian Fricke
- Department of Microbiome Research and Applied Bioinformatics, Institute of Nutritional Sciences, University of Hohenheim, Stuttgart, Germany
- Institute for Genome Sciences, University of Maryland School of Medicine, Baltimore, MD, USA
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24
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Pereira KE, Bletz MC, McCartney JA, Woodhams DC, Woodley SK. Effects of exogenous elevation of corticosterone on immunity and the skin microbiome of eastern newts ( Notophthalmus viridescens). Philos Trans R Soc Lond B Biol Sci 2023; 378:20220120. [PMID: 37305906 PMCID: PMC10258667 DOI: 10.1098/rstb.2022.0120] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2022] [Accepted: 12/15/2022] [Indexed: 06/13/2023] Open
Abstract
The amphibian chytrid fungus, Batrachochytrium salamandrivorans (Bsal) threatens salamander biodiversity. The factors underlying Bsal susceptibility may include glucocorticoid hormones (GCs). The effects of GCs on immunity and disease susceptibility are well studied in mammals, but less is known in other groups, including salamanders. We used Notophthalmus viridescens (eastern newts) to test the hypothesis that GCs modulate salamander immunity. We first determined the dose required to elevate corticosterone (CORT; primary GC in amphibians) to physiologically relevant levels. We then measured immunity (neutrophil lymphocyte ratios, plasma bacterial killing ability (BKA), skin microbiome, splenocytes, melanomacrophage centres (MMCs)) and overall health in newts following treatment with CORT or an oil vehicle control. Treatments were repeated for a short (two treatments over 5 days) or long (18 treatments over 26 days) time period. Contrary to our predictions, most immune and health parameters were similar for CORT and oil-treated newts. Surprisingly, differences in BKA, skin microbiome and MMCs were observed between newts subjected to short- and long-term treatments, regardless of treatment type (CORT, oil vehicle). Taken together, CORT does not appear to be a major factor contributing to immunity in eastern newts, although more studies examining additional immune factors are necessary. This article is part of the theme issue 'Amphibian immunity: stress, disease and ecoimmunology'.
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Affiliation(s)
- Kenzie E. Pereira
- Department of Biology, Duquesne University, Pittsburgh, PA 15282, USA
| | - Molly C. Bletz
- Department of Biology, University of Massachusetts Boston, Boston, MA 02125, USA
| | - Julia A. McCartney
- Department of Biology, University of Massachusetts Boston, Boston, MA 02125, USA
| | - Douglas C. Woodhams
- Department of Biology, University of Massachusetts Boston, Boston, MA 02125, USA
| | - Sarah K. Woodley
- Department of Biology, Duquesne University, Pittsburgh, PA 15282, USA
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25
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Shin H, Martinez KA, Henderson N, Jay M, Schweizer W, Bogaert D, Park G, Bokulich NA, Blaser MJ, Dominguez-Bello MG. Partial convergence of the human vaginal and rectal maternal microbiota in late gestation and early post-partum. NPJ Biofilms Microbiomes 2023; 9:37. [PMID: 37311781 PMCID: PMC10264455 DOI: 10.1038/s41522-023-00404-5] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/02/2021] [Accepted: 06/02/2023] [Indexed: 06/15/2023] Open
Abstract
The human vaginal and fecal microbiota change during pregnancy. Because of the proximity of these perineal sites and the evolutionarily conserved maternal-to-neonatal transmission of the microbiota, we hypothesized that the microbiota of these two sites (rectal and vaginal) converge during the last gestational trimester as part of the preparation for parturition. To test this hypothesis, we analyzed 16S rRNA sequences from vaginal introitus and rectal samples in 41 women at gestational ages 6 and 8 months, and at 2 months post-partum. The results show that the human vaginal and rectal bacterial microbiota converged during the last gestational trimester and into the 2nd month after birth, with a significant decrease in Lactobacillus species in both sites, as alpha diversity progressively increased in the vagina and decreased in the rectum. The microbiota convergence of the maternal vaginal-anal sites perinatally might hold significance for the inter-generational transmission of the maternal microbiota.
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Affiliation(s)
- Hakdong Shin
- Department of Food Science & Biotechnology, and Carbohydrate Bioproduct Research Center, College of Life Science, Sejong University, Seoul, South Korea
| | - Keith A Martinez
- Department of Medicine, New York University Langone Medical Center, New York, NY, USA
- Department of Biochemistry and Microbiology, Rutgers University, New Brunswick, NJ, USA
| | - Nora Henderson
- Department of Medicine, New York University Langone Medical Center, New York, NY, USA
| | - Melanie Jay
- Department of Medicine, New York University Langone Medical Center, New York, NY, USA
- Department of Population Health, New York University Langone Medical Center, New York, NY, USA
| | - William Schweizer
- Department of Obstetrics and Gynecology, New York University Langone Medical Center, New York, NY, USA
| | - Debby Bogaert
- MRC Centre for Inflammation Research, University of Edinburgh, Edinburgh, Scotland
| | - Gwoncheol Park
- Department of Food Science & Biotechnology, and Carbohydrate Bioproduct Research Center, College of Life Science, Sejong University, Seoul, South Korea
| | - Nicholas A Bokulich
- Laboratory of Food Systems Biotechnology, Institute of Food, Nutrition and Health, ETH Zürich, Zürich, Switzerland
| | - Martin J Blaser
- Center for Advanced Biotechnology and Medicine, Rutgers University, New Brunswick, NJ, USA
| | - Maria Gloria Dominguez-Bello
- Department of Biochemistry and Microbiology, Rutgers University, New Brunswick, NJ, USA.
- Department of Anthropology, Rutgers University, New Brunswick, NJ, USA.
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26
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Kawamoto S, Uemura K, Hori N, Takayasu L, Konishi Y, Katoh K, Matsumoto T, Suzuki M, Sakai Y, Matsudaira T, Adachi T, Ohtani N, Standley DM, Suda W, Fukuda S, Hara E. Bacterial induction of B cell senescence promotes age-related changes in the gut microbiota. Nat Cell Biol 2023; 25:865-876. [PMID: 37169880 DOI: 10.1038/s41556-023-01145-5] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2023] [Accepted: 04/04/2023] [Indexed: 05/13/2023]
Abstract
The elucidation of the mechanisms of ageing and the identification of methods to control it have long been anticipated. Recently, two factors associated with ageing-the accumulation of senescent cells and the change in the composition of gut microbiota-have been shown to play key roles in ageing. However, little is known about how these phenomena occur and are related during ageing. Here we show that the persistent presence of commensal bacteria gradually induces cellular senescence in gut germinal centre B cells. Importantly, this reduces both the production and diversity of immunoglobulin A (IgA) antibodies that target gut bacteria, thereby changing the composition of gut microbiota in aged mice. These results have revealed the existence of IgA-mediated crosstalk between the gut microbiota and cellular senescence and thus extend our understanding of the mechanism of gut microbiota changes with age, opening up possibilities for their control.
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Affiliation(s)
- Shimpei Kawamoto
- Department of Molecular Microbiology, Research Institute for Microbial Diseases, Osaka University, Suita, Japan.
| | - Ken Uemura
- Department of Molecular Microbiology, Research Institute for Microbial Diseases, Osaka University, Suita, Japan
| | - Nozomi Hori
- Department of Molecular Microbiology, Research Institute for Microbial Diseases, Osaka University, Suita, Japan
| | - Lena Takayasu
- RIKEN Center for Integrative Medical Sciences, Yokohama, Japan
- Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
| | - Yusuke Konishi
- Department of Molecular Microbiology, Research Institute for Microbial Diseases, Osaka University, Suita, Japan
| | - Kazutaka Katoh
- Department of Genome Informatics, Research Institute for Microbial Diseases, Osaka University, Suita, Japan
| | - Tomonori Matsumoto
- Department of Molecular Microbiology, Research Institute for Microbial Diseases, Osaka University, Suita, Japan
| | - Masae Suzuki
- Department of Molecular Microbiology, Research Institute for Microbial Diseases, Osaka University, Suita, Japan
| | - Yusuke Sakai
- National Institute of Infectious Diseases, Tokyo, Japan
| | - Tatsuyuki Matsudaira
- Department of Molecular Microbiology, Research Institute for Microbial Diseases, Osaka University, Suita, Japan
| | - Takahiro Adachi
- Medical Research Institute, Tokyo Medical and Dental University, Tokyo, Japan
| | - Naoko Ohtani
- Graduate School of Medicine, Osaka Metropolitan University, Osaka, Japan
| | - Daron M Standley
- Department of Genome Informatics, Research Institute for Microbial Diseases, Osaka University, Suita, Japan
- Immunology Frontier Research Center, Osaka University, Suita, Japan
- Center for Infectious Disease Education and Research, Osaka University, Suita, Japan
| | - Wataru Suda
- RIKEN Center for Integrative Medical Sciences, Yokohama, Japan
| | - Shinji Fukuda
- Institute for Advanced Biosciences, Keio University, Tsuruoka, Japan
- Kanagawa Institute of Industrial Science and Technology, Kawasaki, Japan
- Transborder Medical Research Center, University of Tsukuba, Tsukuba, Japan
- Laboratory for Regenerative Microbiology, Juntendo University Graduate School of Medicine, Tokyo, Japan
| | - Eiji Hara
- Department of Molecular Microbiology, Research Institute for Microbial Diseases, Osaka University, Suita, Japan.
- Immunology Frontier Research Center, Osaka University, Suita, Japan.
- Center for Infectious Disease Education and Research, Osaka University, Suita, Japan.
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27
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Jackova Z, Stepan JJ, Coufal S, Kostovcik M, Galanova N, Reiss Z, Pavelka K, Wenchich L, Hruskova H, Kverka M. Interindividual differences contribute to variation in microbiota composition more than hormonal status: A prospective study. Front Endocrinol (Lausanne) 2023; 14:1139056. [PMID: 37033235 PMCID: PMC10081494 DOI: 10.3389/fendo.2023.1139056] [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: 01/06/2023] [Accepted: 02/13/2023] [Indexed: 04/11/2023] Open
Abstract
Aims Ovarian hormone deficiency is one of the main risk factors for osteoporosis and bone fractures in women, and these risks can be mitigated by menopausal hormone therapy. Recent evidence suggests that gut microbiota may link changes in estrogen levels and bone metabolism. This study was conducted to investigate the potential relationship between hormonal and bone changes induced by oophorectomy and subsequent hormonal therapy and shifts in gut microbiota composition. Methods We collected 159 stool and blood samples in several intervals from 58 women, who underwent bilateral oophorectomy. Changes in fecal microbiota were assessed in paired samples collected from each woman before and after oophorectomy or the start of hormone therapy. Bacterial composition was determined by sequencing the 16S rRNA gene on Illumina MiSeq. Blood levels of estradiol, FSH, biomarkers of bone metabolism, and indices of low-grade inflammation were measured using laboratory analytical systems and commercial ELISA. Areal bone mineral density (BMD) of the lumbar spine, proximal femur, and femur neck was measured using dual-energy X-ray absorptiometry. Results We found no significant changes in gut microbiota composition 6 months after oophorectomy, despite major changes in hormone levels, BMD, and bone metabolism. A small decrease in bacterial diversity was apparent 18 months after surgery in taxonomy-aware metrics. Hormonal therapy after oophorectomy prevented bone loss but only marginally affected gut microbiota. There were no significant differences in β-diversity related to hormonal status, although several microbes (e.g., Lactococcus lactis) followed estrogen levels. Body mass index (BMI) was the most significantly associated with microbiota variance. Microbiota was not a suitable predictive factor for the state of bone metabolism. Conclusions We conclude that neither the loss of estrogens due to oophorectomy nor their gain due to subsequent hormonal therapy is associated with a specific gut microbiota signature. Sources of variability in microbiota composition are more related to interindividual differences than hormonal status.
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Affiliation(s)
- Zuzana Jackova
- Laboratory of Cellular and Molecular Immunology, Institute of Microbiology, Czech Academy of Sciences, Prague, Czechia
| | - Jan J. Stepan
- Institute of Rheumatology, Prague, Czechia
- Department of Rheumatology, First Faculty of Medicine, Charles University in Prague, Prague, Czechia
| | - Stepan Coufal
- Laboratory of Cellular and Molecular Immunology, Institute of Microbiology, Czech Academy of Sciences, Prague, Czechia
| | - Martin Kostovcik
- Laboratory of Fungal Genetics and Metabolism, Institute of Microbiology, Czech Academy of Sciences, Prague, Czechia
| | - Natalie Galanova
- Laboratory of Cellular and Molecular Immunology, Institute of Microbiology, Czech Academy of Sciences, Prague, Czechia
| | - Zuzana Reiss
- Laboratory of Cellular and Molecular Immunology, Institute of Microbiology, Czech Academy of Sciences, Prague, Czechia
| | - Karel Pavelka
- Institute of Rheumatology, Prague, Czechia
- Department of Rheumatology, First Faculty of Medicine, Charles University in Prague, Prague, Czechia
| | | | - Hana Hruskova
- Department of Obstetrics and Gynecology, Charles University in Prague, First Faculty of Medicine, Prague, Czechia
- General University Hospital in Prague, Prague, Czechia
| | - Miloslav Kverka
- Laboratory of Cellular and Molecular Immunology, Institute of Microbiology, Czech Academy of Sciences, Prague, Czechia
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Sjödin KS, Sjödin A, Ruszczyński M, Kristensen MB, Hernell O, Szajewska H, West CE. Targeting the gut-lung axis by synbiotic feeding to infants in a randomized controlled trial. BMC Biol 2023; 21:38. [PMID: 36803508 PMCID: PMC9940374 DOI: 10.1186/s12915-023-01531-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/12/2022] [Accepted: 01/27/2023] [Indexed: 02/21/2023] Open
Abstract
BACKGROUND Formula-fed infants are at increased risk of infections. Due to the cross-talk between the mucosal systems of the gastrointestinal and respiratory tracts, adding synbiotics (prebiotics and probiotics) to infant formula may prevent infections even at distant sites. Infants that were born full term and weaned from breast milk were randomized to prebiotic formula (fructo- and galactooligosaccharides) or the same prebiotic formula with Lactobacillus paracasei ssp. paracasei F19 (synbiotics) from 1 to 6 months of age. The objective was to examine the synbiotic effects on gut microbiota development. RESULTS Fecal samples collected at ages 1, 4, 6, and 12 months were analyzed using 16S rRNA gene sequencing and a combination of untargeted gas chromatography-mass spectrometry/liquid chromatography-mass spectrometry. These analyses revealed that the synbiotic group had a lower abundance of Klebsiella, a higher abundance of Bifidobacterium breve compared to the prebiotic group, and increases in the anti-microbial metabolite d-3-phenyllactic acid. We also analyzed the fecal metagenome and antibiotic resistome in the 11 infants that had been diagnosed with lower respiratory tract infection (cases) and 11 matched controls using deep metagenomic sequencing. Cases with lower respiratory tract infection had a higher abundance of Klebsiella species and antimicrobial resistance genes related to Klebsiella pneumoniae, compared to controls. The results obtained using 16S rRNA gene amplicon and metagenomic sequencing were confirmed in silico by successful recovery of the metagenome-assembled genomes of the bacteria of interest. CONCLUSIONS This study demonstrates the additional benefit of feeding specific synbiotics to formula-fed infants over prebiotics only. Synbiotic feeding led to the underrepresentation of Klebsiella, enrichment of bifidobacteria, and increases in microbial degradation metabolites implicated in immune signaling and in the gut-lung and gut-skin axes. Our findings support future clinical evaluation of synbiotic formula in the prevention of infections and associated antibiotic treatment as a primary outcome when breastfeeding is not feasible. TRIAL REGISTRATION ClinicalTrials.gov NCT01625273 . Retrospectively registered on 21 June 2012.
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Affiliation(s)
- Kotryna Simonyté Sjödin
- grid.12650.300000 0001 1034 3451Department of Clinical Sciences, Pediatrics, Umeå University, Umeå, 901 85 Sweden
| | - Andreas Sjödin
- grid.12650.300000 0001 1034 3451Department of Clinical Sciences, Pediatrics, Umeå University, Umeå, 901 85 Sweden ,Division of CBRN Security and Defense, FOI – Swedish Defense Research Agency, Umeå, Sweden
| | - Marek Ruszczyński
- grid.13339.3b0000000113287408Department of Paediatrics, The Medical University of Warsaw, Warsaw, Poland
| | | | - Olle Hernell
- grid.12650.300000 0001 1034 3451Department of Clinical Sciences, Pediatrics, Umeå University, Umeå, 901 85 Sweden
| | - Hania Szajewska
- grid.13339.3b0000000113287408Department of Paediatrics, The Medical University of Warsaw, Warsaw, Poland
| | - Christina E. West
- grid.12650.300000 0001 1034 3451Department of Clinical Sciences, Pediatrics, Umeå University, Umeå, 901 85 Sweden
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Zhang YJ, Bousvaros A, Docktor M, Kaplan A, Rufo PA, Leier M, Weatherly M, Zimmerman L, Nguyen LTT, Barton B, Russell G, Alm EJ, Kahn SA. Higher alpha diversity and Lactobacillus blooms are associated with better engraftment after Fecal Microbiota Transplant in Inflammatory Bowel Disease. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2023:2023.01.30.23285033. [PMID: 36778473 PMCID: PMC9915819 DOI: 10.1101/2023.01.30.23285033] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 02/05/2023]
Abstract
Background Fecal Microbiota Transplant (FMT) has proven effective in treating recurrent Clostridioides difficile infection (rCDI) and has shown some success in treating inflammatory bowel diseases (IBD). There is emerging evidence that host engraftment of donor taxa is a tenet of successful FMT. However, there is little known regarding predictors of engraftment. We undertook a double-blind, randomized, placebo-controlled pilot study to characterize the response to FMT in children and young adults with mild to moderate active Crohn's disease (CD) and ulcerative colitis (UC). Results Subjects with CD or UC were randomized to receive antibiotics and weekly FMT or placebo in addition to baseline medications. The treatment arm received seven days of antibiotics followed by FMT enema and then capsules weekly for seven weeks. We enrolled four subjects with CD and 11 with UC, ages 14-29 years. Due to weekly stool sampling, we were able to create a time series of alpha diversity, beta diversity and engraftment as they related to clinical response. Subjects exhibited a wide range of microbial diversity and donor engraftment as FMT progressed. Specifically, engraftment ranged from 26% to 90% at week 2 and 3% to 92% at two months. Consistent with the current literature, increases over time of both alpha diversity (p< 0.05) and donor engraftment (p< 0.05) correlated with improved clinical response. Additionally, our weekly time series enabled an investigation into the clinical and microbial correlates of engraftment at various time points. We discovered that the post-antibiotic but pre-FMT time point, often overlooked in FMT trials, was rich in microbial correlates of eventual engraftment. Greater residual alpha diversity after antibiotic treatment was positively correlated with engraftment and subsequent clinical response. Interestingly, a transient rise in the relative abundance of Lactobacillus was also positively correlated with engraftment, a finding that we recapitulated with our analysis of another FMT trial with publicly available weekly sequencing data. Conclusions We found that higher residual alpha diversity and Lactobacillus blooms after antibiotic treatment correlated with improved engraftment and clinical response to FMT. Future studies should closely examine the host microbial communities pre-FMT and the impact of antibiotic preconditioning on engraftment and response.
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Affiliation(s)
- Yanjia Jason Zhang
- Gastroenterology/Nutrition, Boston Children's Hospital 300 Longwood Ave. Boston, MA, USA
- Department of Biological Engineering, Massachusetts Institute of Technology 21 Ames St. Cambridge, MA, USA
- Center for Microbiome Informatics and Therapeutics, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Athos Bousvaros
- Gastroenterology/Nutrition, Boston Children's Hospital 300 Longwood Ave. Boston, MA, USA
- Center for Microbiome Informatics and Therapeutics, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Michael Docktor
- Gastroenterology/Nutrition, Boston Children's Hospital 300 Longwood Ave. Boston, MA, USA
- IBD Center, Boston Children's Hospital 300 Longwood Ave. Boston, MA, USA
| | - Abby Kaplan
- Gastroenterology/Nutrition, Boston Children's Hospital 300 Longwood Ave. Boston, MA, USA
- IBD Center, Boston Children's Hospital 300 Longwood Ave. Boston, MA, USA
| | - Paul A. Rufo
- Gastroenterology/Nutrition, Boston Children's Hospital 300 Longwood Ave. Boston, MA, USA
- IBD Center, Boston Children's Hospital 300 Longwood Ave. Boston, MA, USA
| | - McKenzie Leier
- Gastroenterology/Nutrition, Boston Children's Hospital 300 Longwood Ave. Boston, MA, USA
- IBD Center, Boston Children's Hospital 300 Longwood Ave. Boston, MA, USA
| | - Madison Weatherly
- Gastroenterology/Nutrition, Boston Children's Hospital 300 Longwood Ave. Boston, MA, USA
- IBD Center, Boston Children's Hospital 300 Longwood Ave. Boston, MA, USA
| | - Lori Zimmerman
- Gastroenterology/Nutrition, Boston Children's Hospital 300 Longwood Ave. Boston, MA, USA
- IBD Center, Boston Children's Hospital 300 Longwood Ave. Boston, MA, USA
| | - Le Thanh Tu Nguyen
- Department of Biological Engineering, Massachusetts Institute of Technology 21 Ames St. Cambridge, MA, USA
- Center for Microbiome Informatics and Therapeutics, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Brenda Barton
- Gastroenterology/Nutrition, Boston Children's Hospital 300 Longwood Ave. Boston, MA, USA
| | - George Russell
- Gastroenterology/Nutrition, Maine Medical Center 22 Bramhall St. Portland, ME, USA
| | - Eric J. Alm
- Department of Biological Engineering, Massachusetts Institute of Technology 21 Ames St. Cambridge, MA, USA
- Center for Microbiome Informatics and Therapeutics, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Stacy A. Kahn
- Gastroenterology/Nutrition, Boston Children's Hospital 300 Longwood Ave. Boston, MA, USA
- IBD Center, Boston Children's Hospital 300 Longwood Ave. Boston, MA, USA
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30
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Yuan L, Zhang R, Li X, Gao C, Hu X, Hussain S, Zhang L, Wang M, Ma X, Pan Q, Lou X, Si S. Long-term simulated microgravity alters gut microbiota and metabolome in mice. Front Microbiol 2023; 14:1100747. [PMID: 37032862 PMCID: PMC10080065 DOI: 10.3389/fmicb.2023.1100747] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2022] [Accepted: 03/09/2023] [Indexed: 04/11/2023] Open
Abstract
Spaceflight and microgravity has a significant impact on the immune, central nervous, bone, and muscle support and cardiovascular systems. However, limited studies are available on the adverse effects of long-term microgravity on the intestinal microbiota, metabolism, and its relationships. In this study, a ground-based simulated microgravity (SMG) mouse model was established to evaluate the impact of long-term microgravity on gut microbiota and metabolome. After 8 weeks of SMG, alterations of the intestinal microbiota and metabolites were detected using 16S rRNA sequencing and untargeted metabolomics. Compared to the control, no significant differences in α-diversity were observed at weeks 2, 4 and 8. Nevertheless, there were clear differences in community structures at different time points. The phylum Verrucomicrobia significantly declined from 2 to 8 weeks of SMG, yet the relative abundance of Actinobacteria and Deferribacteres expanded remarkably at weeks 8. SMG decreased the genus of Allobaculum and increased Bacteroides significantly throughout the period of 8 weeks. Besides, Genus Akkermansia, Gracilibacter, Prevotella, Odoribacter, Rothia, Sporosarcina, Gracilibacter, Clostridium, and Mucispirillum were identified as biomarkers for SMG group. Desulfovibrio_c21_c20, Akkermansia_muciniphila, and Ruminococcus_gnavus dropped at week 2, which tend to recover at week 4, except for Akkermansia_muciniphila. Bacteroides_uniformis and Faecalibacterium_prausnitzii declined significantly, while Ruminococcus_flavefaciens and Mucispirillum_schaedleri elevated at week 8. Furthermore, intestinal metabolome analysis showed that 129 were upregulated and 146 metabolites were downregulated in SMG. Long-term SMG most affected steroid hormone biosynthesis, tryptophan, cysteine, methionine, arginine, proline metabolism, and histidine metabolism. Correlated analysis suggested that the potential beneficial taxa Allobaculum, Akkermansia, and Faecalibacterium were negatively associated with tryptophan, histidine, arginine, and proline metabolism, but positively with steroid hormone biosynthesis. Yet Bacteroides, Lachnospiraceae_Clostridium, Rothia, Bilophila, and Coprococcus were positively correlated with arginine, proline, tryptophan, and histidine metabolism, while negatively associated with steroid hormone biosynthesis. These results suggest that Long-term SMG altered the community of intestinal microbiota, and then further disturbed intestinal metabolites and metabolic pathways, which have great potential to help understand and provide clues for revealing the mechanisms of long-term SMG involved diseases.
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Affiliation(s)
- Lu Yuan
- Department of Medical Research, PLA Strategic Support Force Medical Center, Beijing, China
| | - Rong Zhang
- Department of Medical Research, PLA Strategic Support Force Medical Center, Beijing, China
| | - Xinlou Li
- Department of Medical Research, PLA Strategic Support Force Medical Center, Beijing, China
| | - Caiyun Gao
- Department of Medical Research, PLA Strategic Support Force Medical Center, Beijing, China
| | - Xiangnan Hu
- Department of Medical Research, PLA Strategic Support Force Medical Center, Beijing, China
| | - Safdar Hussain
- Center for Applied Molecular Biology, University of the Punjab, Lahore, Pakistan
| | - Linlin Zhang
- Department of Medical Research, PLA Strategic Support Force Medical Center, Beijing, China
| | - Moye Wang
- Department of Medical Research, PLA Strategic Support Force Medical Center, Beijing, China
| | - Xiaoyu Ma
- Department of Medical Research, PLA Strategic Support Force Medical Center, Beijing, China
| | - Qiuxia Pan
- Department of Traditional Chinese Medicine, PLA Strategic Support Force Medical Center, Beijing, China
| | - Xiaotong Lou
- Department of Medical Research, PLA Strategic Support Force Medical Center, Beijing, China
- *Correspondence: Xiaotong Lou,
| | - Shaoyan Si
- Department of Medical Research, PLA Strategic Support Force Medical Center, Beijing, China
- Shaoyan Si,
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31
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Co-diet supplementation of low density polyethylene and honeybee wax did not influence the core gut bacteria and associated enzymes of Galleria mellonella larvae (Lepidoptera: Pyralidae). Int Microbiol 2022; 26:397-409. [PMID: 36484909 DOI: 10.1007/s10123-022-00303-3] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/22/2022] [Revised: 11/16/2022] [Accepted: 11/20/2022] [Indexed: 12/13/2022]
Abstract
The current plastic pollution throughout the world is a rising concern that demands the optimization of biodegradation processes. One avenue for this is to identify plastic-degrading bacteria and associated enzymes from the gut bacteria of insect models such as Tenebrio molitor, Plodia interpunctella or Galleria mellonella that have the ability to ingest and rapidly degrade polyethylene. Therefore, this study takes part in understanding the role of the gut bacteria by investigating G. mellonella as a biological model feeding with a diet based on honeybee wax mixed or not with low-density polyethylene. Gut microbiome was analyzed by high throughput 16S rRNA sequencing, and Enterococcaceae and Oxalobacteraceae were found to be the major bacterial families. Compared to the control, the supplementation of low-density polyethylene did not cause significant modification of the bacterial microbiota at community and taxa levels, suggesting bacterial microbiome resilience. The bacterial proteome analysis of gut contents was encouraging for the identification of plastic degrading enzymes such as the phenylacetaldehyde dehydrogenase which participate in styrene degradation. This study allowed a better characterization of the gut bacteria of G. mellonella and provided a basis for the further study of biodegradation of polyethylene based on the bacterial microbiota from insect guts.
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32
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Ziemski M, Adamov A, Kim L, Flörl L, Bokulich NA. Reproducible acquisition, management and meta-analysis of nucleotide sequence (meta)data using q2-fondue. Bioinformatics 2022; 38:5081-5091. [PMID: 36130056 PMCID: PMC9665871 DOI: 10.1093/bioinformatics/btac639] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/04/2022] [Revised: 09/08/2022] [Accepted: 09/19/2022] [Indexed: 12/24/2022] Open
Abstract
MOTIVATION The volume of public nucleotide sequence data has blossomed over the past two decades and is ripe for re- and meta-analyses to enable novel discoveries. However, reproducible re-use and management of sequence datasets and associated metadata remain critical challenges. We created the open source Python package q2-fondue to enable user-friendly acquisition, re-use and management of public sequence (meta)data while adhering to open data principles. RESULTS q2-fondue allows fully provenance-tracked programmatic access to and management of data from the NCBI Sequence Read Archive (SRA). Unlike other packages allowing download of sequence data from the SRA, q2-fondue enables full data provenance tracking from data download to final visualization, integrates with the QIIME 2 ecosystem, prevents data loss upon space exhaustion and allows download of (meta)data given a publication library. To highlight its manifold capabilities, we present executable demonstrations using publicly available amplicon, whole genome and metagenome datasets. AVAILABILITY AND IMPLEMENTATION q2-fondue is available as an open-source BSD-3-licensed Python package at https://github.com/bokulich-lab/q2-fondue. Usage tutorials are available in the same repository. All Jupyter notebooks used in this article are available under https://github.com/bokulich-lab/q2-fondue-examples. SUPPLEMENTARY INFORMATION Supplementary data are available at Bioinformatics online.
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Affiliation(s)
| | | | - Lina Kim
- Laboratory of Food Systems Biotechnology, Institute of Food, Nutrition, and Health, ETH Zürich, Zürich 8092, Switzerland
| | - Lena Flörl
- Laboratory of Food Systems Biotechnology, Institute of Food, Nutrition, and Health, ETH Zürich, Zürich 8092, Switzerland
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33
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Beatty DS, Aoki LR, Rappazzo B, Bergman C, Domke LK, Duffy JE, Dubois K, Eckert GL, Gomes C, Graham OJ, Harper L, Harvell CD, Hawthorne TL, Hessing-Lewis M, Hovel K, Monteith ZL, Mueller RS, Olson AM, Prentice C, Tomas F, Yang B, Stachowicz JJ. Predictable Changes in Eelgrass Microbiomes with Increasing Wasting Disease Prevalence across 23° Latitude in the Northeastern Pacific. mSystems 2022; 7:e0022422. [PMID: 35856664 PMCID: PMC9426469 DOI: 10.1128/msystems.00224-22] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/07/2022] [Accepted: 06/22/2022] [Indexed: 12/04/2022] Open
Abstract
Predicting outcomes of marine disease outbreaks presents a challenge in the face of both global and local stressors. Host-associated microbiomes may play important roles in disease dynamics but remain understudied in marine ecosystems. Host-pathogen-microbiome interactions can vary across host ranges, gradients of disease, and temperature; studying these relationships may aid our ability to forecast disease dynamics. Eelgrass, Zostera marina, is impacted by outbreaks of wasting disease caused by the opportunistic pathogen Labyrinthula zosterae. We investigated how Z. marina phyllosphere microbial communities vary with rising wasting disease lesion prevalence and severity relative to plant and meadow characteristics like shoot density, longest leaf length, and temperature across 23° latitude in the Northeastern Pacific. We detected effects of geography (11%) and smaller, but distinct, effects of temperature (30-day max sea surface temperature, 4%) and disease (lesion prevalence, 3%) on microbiome composition. Declines in alpha diversity on asymptomatic tissue occurred with rising wasting disease prevalence within meadows. However, no change in microbiome variability (dispersion) was detected between asymptomatic and symptomatic tissues. Further, we identified members of Cellvibrionaceae, Colwelliaceae, and Granulosicoccaceae on asymptomatic tissue that are predictive of wasting disease prevalence across the geographic range (3,100 kilometers). Functional roles of Colwelliaceae and Granulosicoccaceae are not known. Cellvibrionaceae, degraders of plant cellulose, were also enriched in lesions and adjacent green tissue relative to nonlesioned leaves. Cellvibrionaceae may play important roles in disease progression by degrading host tissues or overwhelming plant immune responses. Thus, inclusion of microbiomes in wasting disease studies may improve our ability to understand variable rates of infection, disease progression, and plant survival. IMPORTANCE The roles of marine microbiomes in disease remain poorly understood due, in part, to the challenging nature of sampling at appropriate spatiotemporal scales and across natural gradients of disease throughout host ranges. This is especially true for marine vascular plants like eelgrass (Zostera marina) that are vital for ecosystem function and biodiversity but are susceptible to rapid decline and die-off from pathogens like eukaryotic slime-mold Labyrinthula zosterae (wasting disease). We link bacterial members of phyllosphere tissues to the prevalence of wasting disease across the broadest geographic range to date for a marine plant microbiome-disease study (3,100 km). We identify Cellvibrionaceae, plant cell wall degraders, enriched (up to 61% relative abundance) within lesion tissue, which suggests this group may be playing important roles in disease progression. These findings suggest inclusion of microbiomes in marine disease studies will improve our ability to predict ecological outcomes of infection across variable landscapes spanning thousands of kilometers.
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Affiliation(s)
- Deanna S. Beatty
- Department of Evolution and Ecology, University of California, Davis, California, USA
| | - Lillian R. Aoki
- Data Science Initiative, University of Oregon, Eugene, Oregon, USA
- Department of Ecology and Evolutionary Biology, Cornell University, Ithaca, New York, USA
| | - Brendan Rappazzo
- Department of Computer Science, Cornell University, Ithaca, New York, USA
| | - Chelsea Bergman
- Department of Biology and Coastal & Marine Institute, San Diego State University, San Diego, California, USA
| | - Lia K. Domke
- College of Fisheries and Ocean Sciences, University of Alaska Fairbanks, Juneau, Alaska, USA
| | - J. Emmett Duffy
- MarineGEO Program and Smithsonian Environmental Research Center, Edgewater, Maryland, USA
| | - Katie Dubois
- Department of Evolution and Ecology, University of California, Davis, California, USA
- Biology Department, Bowdoin College, Brunswick, Maine, USA
| | - Ginny L. Eckert
- College of Fisheries and Ocean Sciences, University of Alaska Fairbanks, Juneau, Alaska, USA
| | - Carla Gomes
- Department of Computer Science, Cornell University, Ithaca, New York, USA
| | - Olivia J. Graham
- Department of Ecology and Evolutionary Biology, Cornell University, Ithaca, New York, USA
| | - Leah Harper
- MarineGEO Program and Smithsonian Environmental Research Center, Edgewater, Maryland, USA
| | - C. Drew Harvell
- Department of Ecology and Evolutionary Biology, Cornell University, Ithaca, New York, USA
| | - Timothy L. Hawthorne
- Department of Sociology and College of Sciences GIS Cluster, University of Central Florida, Orlando, Florida, USA
| | - Margot Hessing-Lewis
- Nearshore Marine Ecology, Hakai Institute, Heriot Bay, British Columbia, Canada
- Institute for the Oceans and Fisheries, University of British Columbia, Vancouver, British Columbia, Canada
| | - Kevin Hovel
- Department of Biology and Coastal & Marine Institute, San Diego State University, San Diego, California, USA
| | - Zachary L. Monteith
- Nearshore Marine Ecology, Hakai Institute, Heriot Bay, British Columbia, Canada
| | - Ryan S. Mueller
- Department of Microbiology, Oregon State University, Corvallis, Oregon, USA
| | - Angeleen M. Olson
- Nearshore Marine Ecology, Hakai Institute, Heriot Bay, British Columbia, Canada
| | - Carolyn Prentice
- Nearshore Marine Ecology, Hakai Institute, Heriot Bay, British Columbia, Canada
| | - Fiona Tomas
- Instituto Mediterráneo de Estudios Avanzados (UIB-CSIC), Esporles, Spain
| | - Bo Yang
- Department of Sociology and College of Sciences GIS Cluster, University of Central Florida, Orlando, Florida, USA
- Department of Urban and Regional Planning, San Jose State University, San Jose, California, USA
| | - John J. Stachowicz
- Department of Evolution and Ecology, University of California, Davis, California, USA
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Zheng J, Wu Q, Zhang L, Zou Y, Wang M, He L, Guo S. Anti-inflammatory activities of Qingfei oral liquid and its influence on respiratory microbiota in mice with ovalbumin-induced asthma. Front Pharmacol 2022; 13:911667. [PMID: 36081945 PMCID: PMC9445488 DOI: 10.3389/fphar.2022.911667] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/03/2022] [Accepted: 07/05/2022] [Indexed: 11/13/2022] Open
Abstract
Dysbiosis of respiratory microbiota is closely related to the pathophysiological processes of asthma, including airway inflammation. Previous studies have shown that Qingfei oral liquid (QF) can alleviate airway inflammation and airway hyper-responsiveness in respiratory syncytial virus-infected asthmatic mice, but its effect on the respiratory microbiota is unknown. We therefore aimed to observe the effects of QF on airway inflammation and respiratory microbiota in ovalbumin (OVA)-induced asthmatic mice. We also explored the potential mechanism of QF in reducing airway inflammation by regulating respiratory microbiota. Hematoxylin and eosin as well as periodic acid-Schiff staining were performed to observe the effects of QF on lung pathology in asthmatic mice. Cytokine levels in bronchoalveolar lavage fluid (BALF) specimens were also measured. Changes in respiratory microbiota were analyzed using 16S rRNA gene sequencing, followed by taxonomical analysis. In order to verify the metagenomic function prediction results, the expression of key proteins related to the MAPK and NOD-like receptor signaling pathways in the lung tissues were detected by immunohistochemistry. The current study found that QF had a significant anti-inflammatory effect in the airways of asthmatic mice. This is mainly attributed to a reduction in lung pathology changes and regulating cytokine levels in BALF. Analysis of the respiratory microbiota in asthmatic mice showed that the abundance of Proteobacteria at the phylum level and Pseudomonas at the genus level increased significantly and QF could significantly regulate the dysbiosis of respiratory microbiota in asthmatic mice. Metagenomic functional prediction showed that QF can downregulate the MAPK and Nod-like receptor signaling pathways. Immunohistochemical results showed that QF could downregulate the expression of p-JNK, p-P38, NLRP3, Caspase-1, and IL-1β, which are all key proteins in the signaling pathway of lung tissue. Our study therefore concluded that QF may reduce airway inflammation in asthmatic mice by regulating respiratory microbiota, and to the possibly downregulate MAPK and Nod-like receptor signaling pathways as its underlying mechanism.
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Affiliation(s)
- Jun Zheng
- Department of Traditional Chinese Medicine, Shanghai Children’s Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Qian Wu
- Department of Traditional Chinese Medicine, Shanghai Children’s Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Liang Zhang
- Department of Traditional Chinese Medicine, Shanghai Children’s Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Ya Zou
- Department of Emergency Medicine, Putuo Hospital, Shanghai University of Traditional Medicine, Shanghai, China
| | - Meifen Wang
- Department of Pediatrics, Sanmen People’s Hospital, Taizhou, Zhejiang, China
| | - Li He
- Department of Traditional Chinese Medicine, Shanghai Children’s Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
- *Correspondence: Li He, ; Sheng Guo,
| | - Sheng Guo
- Department of Endocrine, Genetics and Metabolism, Shanghai Children’s Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
- *Correspondence: Li He, ; Sheng Guo,
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Kamilari E, Tsaltas D, Stanton C, Ross RP. Metataxonomic Mapping of the Microbial Diversity of Irish and Eastern Mediterranean Cheeses. Foods 2022; 11:2483. [PMID: 36010485 PMCID: PMC9407514 DOI: 10.3390/foods11162483] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2022] [Revised: 07/29/2022] [Accepted: 08/03/2022] [Indexed: 11/17/2022] Open
Abstract
The distinct sensorial characteristics of local cheeses influence consumer preferences, and make an essential contribution to the local economy. Microbial diversity in cheese is among the fundamental contributors to sensorial and qualitative characteristics. However, knowledge regarding the existence of microbial patterns associated with regional production practices in ripened cheeses remains limited. The present research was conducted to test the hypothesis that the background metagenome of cheeses could be used as a marker of their origin. We compared Irish versus Eastern Mediterranean cheeses-namely Greek and Cypriot-using High Throughput Sequencing (HTS). The study identified a significantly distinct separation among cheeses originating from the three different countries, in terms of the total microbial community composition. The use of machine learning and biomarkers discovery algorithms defined key microbes that differentiate each geographic region. Finally, the development of interaction networks revealed that the key species developed mostly negative interactions with the other members of the communities, highlighting their dominance in the community. The findings of the present research demonstrate that metagenome could indeed be used as a biological marker of the origin of mature cheeses, and could provide further insight into the dynamics of microbial community composition in ripened cheeses.
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Affiliation(s)
- Eleni Kamilari
- APC Microbiome Ireland, University College Cork, T12 YT20 Cork, Ireland or
- School of Microbiology, University College Cork, T12 K8AF Cork, Ireland
| | - Dimitrios Tsaltas
- Department of Agricultural Sciences, Biotechnology and Food Science, Cyprus University of Technology, Lemesos 3036, Cyprus
| | - Catherine Stanton
- APC Microbiome Ireland, University College Cork, T12 YT20 Cork, Ireland or
- School of Microbiology, University College Cork, T12 K8AF Cork, Ireland
- Department of Biosciences, Teagasc Food Research Centre, Moorepark, Fermoy, Co., P61 C996 Cork, Ireland
| | - R. Paul Ross
- APC Microbiome Ireland, University College Cork, T12 YT20 Cork, Ireland or
- School of Microbiology, University College Cork, T12 K8AF Cork, Ireland
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36
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Dietrich A, Matchado MS, Zwiebel M, Ölke B, Lauber M, Lagkouvardos I, Baumbach J, Haller D, Brandl B, Skurk T, Hauner H, Reitmeier S, List M. Namco: a microbiome explorer. Microb Genom 2022; 8:mgen000852. [PMID: 35917163 PMCID: PMC9484756 DOI: 10.1099/mgen.0.000852] [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: 02/11/2022] [Accepted: 05/22/2022] [Indexed: 11/18/2022] Open
Abstract
16S rRNA gene profiling is currently the most widely used technique in microbiome research and allows the study of microbial diversity, taxonomic profiling, phylogenetics, functional and network analysis. While a plethora of tools have been developed for the analysis of 16S rRNA gene data, only a few platforms offer a user-friendly interface and none comprehensively covers the whole analysis pipeline from raw data processing down to complex analysis. We introduce Namco, an R shiny application that offers a streamlined interface and serves as a one-stop solution for microbiome analysis. We demonstrate Namco's capabilities by studying the association between a rich fibre diet and the gut microbiota composition. Namco helped to prove the hypothesis that butyrate-producing bacteria are prompted by fibre-enriched intervention. Namco provides a broad range of features from raw data processing and basic statistics down to machine learning and network analysis, thus covering complex data analysis tasks that are not comprehensively covered elsewhere. Namco is freely available at https://exbio.wzw.tum.de/namco/.
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Affiliation(s)
- Alexander Dietrich
- Chair of Experimental Bioinformatics, TUM School of Life Sciences, Technical University of Munich, 85354 Freising, Germany
| | - Monica Steffi Matchado
- Chair of Experimental Bioinformatics, TUM School of Life Sciences, Technical University of Munich, 85354 Freising, Germany
- Institute for Computational Systems Biology, University of Hamburg, Hamburg, Germany
| | - Maximilian Zwiebel
- Chair of Experimental Bioinformatics, TUM School of Life Sciences, Technical University of Munich, 85354 Freising, Germany
| | - Benjamin Ölke
- Chair of Experimental Bioinformatics, TUM School of Life Sciences, Technical University of Munich, 85354 Freising, Germany
| | - Michael Lauber
- Chair of Experimental Bioinformatics, TUM School of Life Sciences, Technical University of Munich, 85354 Freising, Germany
| | - Ilias Lagkouvardos
- ZIEL - Institute for Food & Health, Technical University of Munich, 85354 Freising, Germany
| | - Jan Baumbach
- Institute for Computational Systems Biology, University of Hamburg, Hamburg, Germany
- Institute of Mathematics and Computer Science, University of Southern Denmark, Odense, Denmark
| | - Dirk Haller
- ZIEL - Institute for Food & Health, Technical University of Munich, 85354 Freising, Germany
- Chair of Nutrition and Immunology, TUM School of Life Sciences, Technical University of Munich, 85354 Freising, Germany
| | - Beate Brandl
- ZIEL - Institute for Food & Health, Technical University of Munich, 85354 Freising, Germany
| | - Thomas Skurk
- ZIEL - Institute for Food & Health, Technical University of Munich, 85354 Freising, Germany
| | - Hans Hauner
- ZIEL - Institute for Food & Health, Technical University of Munich, 85354 Freising, Germany
- Institute of Nutritional Medicine, TUM School of Medicine, Technical University of Munich, Munich, Germany
| | - Sandra Reitmeier
- ZIEL - Institute for Food & Health, Technical University of Munich, 85354 Freising, Germany
- Chair of Nutrition and Immunology, TUM School of Life Sciences, Technical University of Munich, 85354 Freising, Germany
| | - Markus List
- Chair of Experimental Bioinformatics, TUM School of Life Sciences, Technical University of Munich, 85354 Freising, Germany
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Mathematical Modeling and Computational Prediction of High-Risk Types of Human Papillomaviruses. COMPUTATIONAL AND MATHEMATICAL METHODS IN MEDICINE 2022; 2022:1515810. [PMID: 35912141 PMCID: PMC9334084 DOI: 10.1155/2022/1515810] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 04/22/2022] [Accepted: 06/28/2022] [Indexed: 11/17/2022]
Abstract
Cervical cancer is one of the main causes of cancer death all over the world. Most diseases such as cervical epithelial atypical hyperplasia and invasive cervical cancer are closely related to the continuous infection of high-risk types of human papillomavirus. Therefore, the high-risk types of human papillomavirus are the key to the prevention and treatment of cervical cancer. With the accumulation of high-throughput and clinical data, the use of systematic and quantitative methods for mathematical modeling and computational prediction has become more and more important. This paper summarizes the mathematical models and prediction methods of the risk types of human papillomavirus, especially around the key steps such as feature extraction, feature selection, and prediction algorithms. We summarized and discussed the advantages and disadvantages of existing algorithms, which provides a theoretical basis for follow-up research.
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Weinert-Nelson JR, Biddle AS, Williams CA. Fecal microbiome of horses transitioning between warm-season and cool-season grass pasture within integrated rotational grazing systems. Anim Microbiome 2022; 4:41. [PMID: 35729677 PMCID: PMC9210719 DOI: 10.1186/s42523-022-00192-x] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/23/2022] [Accepted: 06/10/2022] [Indexed: 01/09/2023] Open
Abstract
BACKGROUND Diet is a key driver of equine hindgut microbial community structure and composition. The aim of this study was to characterize shifts in the fecal microbiota of grazing horses during transitions between forage types within integrated warm- (WSG) and cool-season grass (CSG) rotational grazing systems (IRS). Eight mares were randomly assigned to two IRS containing mixed cool-season grass and one of two warm-season grasses: bermudagrass [Cynodon dactylon (L.) Pers.] or crabgrass [Digitaria sanguinalis (L.) Scop.]. Fecal samples were collected during transitions from CSG to WSG pasture sections (C-W) and WSG to CSG (W-C) on days 0, 2, 4, and 6 following pasture rotation and compared using 16S rRNA gene sequencing. RESULTS Regardless of IRS or transition (C-W vs. W-C), species richness was greater on day 4 and 6 in comparison to day 0 (P < 0.05). Evenness, however, did not differ by day. Weighted UniFrac also did not differ by day, and the most influential factor impacting β-diversity was the individual horse (R2 ≥ 0.24; P = 0.0001). Random forest modeling was unable to accurately predict days within C-W and W-C, but could predict the individual horse based on microbial composition (accuracy: 0.92 ± 0.05). Only three differentially abundant bacterial co-abundance groups (BCG) were identified across days within all C-W and W-C for both IRS (W ≥ 126). The BCG differing by day for all transitions included amplicon sequence variants (ASV) assigned to bacterial groups with known fibrolytic and butyrate-producing functions including members of Lachnospiraceae, Clostridium sensu stricto 1, Anaerovorax the NK4A214 group of Oscillospiraceae, and Sarcina maxima. In comparison, 38 BCG were identified as differentially abundant by horse (W ≥ 704). The ASV in these groups were most commonly assigned to genera associated with degradation of structural carbohydrates included Rikenellaceae RC9 gut group, Treponema, Christensenellaceae R-7 group, and the NK4A214 group of Oscillospiraceae. Fecal pH also did not differ by day. CONCLUSIONS Overall, these results demonstrated a strong influence of individual horse on the fecal microbial community, particularly on the specific composition of fiber-degraders. The equine fecal microbiota were largely stable across transitions between forages within IRS suggesting that the equine gut microbiota adjusted at the individual level to the subtle dietary changes imposed by these transitions. This adaptive capacity indicates that horses can be managed in IRS without inducing gastrointestinal dysfunction.
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Affiliation(s)
- Jennifer R. Weinert-Nelson
- grid.430387.b0000 0004 1936 8796Department of Animal Sciences, Rutgers, The State University of New Jersey, New Brunswick, NJ 08901 USA
| | - Amy S. Biddle
- grid.33489.350000 0001 0454 4791Department of Animal and Food Sciences, College of Agriculture and Natural Resources, University of Delaware, Newark, DE 19711 USA
| | - Carey A. Williams
- grid.430387.b0000 0004 1936 8796Department of Animal Sciences, Rutgers, The State University of New Jersey, New Brunswick, NJ 08901 USA
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Becker MF, Hellmann M, Knief C. Spatio-temporal variation in the root-associated microbiota of orchard-grown apple trees. ENVIRONMENTAL MICROBIOME 2022; 17:31. [PMID: 35715810 PMCID: PMC9205072 DOI: 10.1186/s40793-022-00427-z] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/28/2022] [Accepted: 05/30/2022] [Indexed: 06/01/2023]
Abstract
BACKGROUND The root-associated microbiome has been of keen research interest especially in the last decade due to the large potential for increasing overall plant performance in agricultural systems. Studies about spatio-temporal variation of the root-associated microbiome focused so far primarily on community-compositional changes of annual plants, while little is known about their perennial counterparts. The aim of this work was to get deep insight into the spatial patterns and temporal dynamics of the root associated microbiota of apple trees. RESULTS The bacterial community structure in rhizospheric soil and endospheric root material from orchard-grown apple trees was characterized based on 16S rRNA gene amplicon sequencing. At the small scale, the rhizosphere and endosphere bacterial communities shifted gradually with increasing root size diameter (PERMANOVA R2-values up to 0.359). At the larger scale, bulk soil heterogeneity introduced variation between tree individuals, especially in the rhizosphere microbiota, while the presence of a root pathogen was contributing to tree-to-tree variation in the endosphere microbiota. Moreover, the communities of both compartments underwent seasonal changes and displayed year-to-year variation (PERMANOVA R2-values of 0.454 and 0.371, respectively). CONCLUSIONS The apple tree root-associated microbiota can be spatially heterogeneous at field scale due to soil heterogeneities, which particularly influence the microbiota in the rhizosphere soil, resulting in tree-to-tree variation. The presence of pathogens can contribute to this variation, though primarily in the endosphere microbiota. Smaller-scale spatial heterogeneity is observed in the rhizosphere and endosphere microbiota related to root diameter, likely influenced by root traits and processes such as rhizodeposition. The microbiota is also subject to temporal variation, including seasonal effects and annual variation. As a consequence, responses of the tree root microbiota to further environmental cues should be considered in the context of this spatio-temporal variation.
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Affiliation(s)
- Maximilian Fernando Becker
- Institute of Crop Science and Resource Conservation - Molecular Biology of the Rhizosphere, University of Bonn, Nussallee 13, 53115, Bonn, Germany
| | - Manfred Hellmann
- Dienstleistungszentrum Ländlicher Raum (DLR) Rheinpfalz, Kompetenzzentrum Gartenbau Klein-Altendorf, 53359, Rheinbach, Germany
| | - Claudia Knief
- Institute of Crop Science and Resource Conservation - Molecular Biology of the Rhizosphere, University of Bonn, Nussallee 13, 53115, Bonn, Germany.
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Diet Is a Stronger Covariate than Exercise in Determining Gut Microbial Richness and Diversity. Nutrients 2022; 14:nu14122507. [PMID: 35745235 PMCID: PMC9229834 DOI: 10.3390/nu14122507] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/02/2022] [Revised: 06/11/2022] [Accepted: 06/14/2022] [Indexed: 02/06/2023] Open
Abstract
Obesity is a common metabolic disorder caused by a sedentary lifestyle, and a high-fat and a high-glucose diet in the form of fast foods. High-fat diet-induced obesity is a major cause of diabetes and cardiovascular diseases, whereas exercise and physical activity can ameliorate these disorders. Moreover, exercise and the gut microbiota are known to be interconnected, since exercise can increase the gut microbial diversity and contribute to the beneficial health effects. In this context, we analyzed the effect of diet and exercise on the gut microbiota of mice, by next-generation sequencing of the bacterial V4 region of 16S rRNA. Briefly, mice were divided into four groups: chow-diet (CD), high-fat diet (HFD), high-fat diet + exercise (HFX), and exercise-only (EX). The mice underwent treadmill exercise and diet intervention for 8 weeks, followed by the collection of their feces and DNA extraction for sequencing. The data were analyzed using the QIIME 2 bioinformatics platform and R software to assess their gut microbial composition, richness, and diversity. The Bacteroidetes to Firmicutes ratio was found to be decreased manifold in the HFD and HFX groups compared to the CD and EX groups. The gut microbial richness was comparatively lower in the HFD and HFX groups and higher in the CD and EX groups (ACE, Chao1, and observed OTUs). However, the Shannon alpha diversity index was higher in the HFD and HFX groups than in the CD and EX groups. The beta diversity based on Jaccard, Bray-Curtis, and weighted UniFrac distance metrics was significant among the groups, as measured by PERMANOVA. Paraprevotella, Desulfovibrio, and Lactococcus were the differentially abundant/present genera based on the intervention groups and in addition to these three bacteria, Butyricimonas and Desulfovibrio C21c20 were differentially abundant/present based on diet. Hence, diet significantly contributed to the majority of the changes in the gut microbiota.
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41
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Gilboa A, Hope R, Ben Simon S, Polak P, Koren O, Yaari G. Ontogeny of the B Cell Receptor Repertoire and Microbiome in Mice. JOURNAL OF IMMUNOLOGY (BALTIMORE, MD. : 1950) 2022; 208:2713-2725. [PMID: 35623663 DOI: 10.4049/jimmunol.2100955] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/05/2021] [Accepted: 03/30/2022] [Indexed: 06/15/2023]
Abstract
The immune system matures throughout childhood to achieve full functionality in protecting our bodies against threats. The immune system has a strong reciprocal symbiosis with the host bacterial population and the two systems co-develop, shaping each other. Despite their fundamental role in health physiology, the ontogeny of these systems is poorly characterized. In this study, we investigated the development of the BCR repertoire by analyzing high-throughput sequencing of their receptors in several time points of young C57BL/6J mice. In parallel, we explored the development of the gut microbiome. We discovered that the gut IgA repertoires change from birth to adolescence, including an increase in CDR3 lengths and somatic hypermutation levels. This contrasts with the spleen IgM repertoires that remain stable and distinct from the IgA repertoires in the gut. We also discovered that large clones that germinate in the gut are initially confined to a specific gut compartment, then expand to nearby compartments and later on expand also to the spleen and remain there. Finally, we explored the associations between diversity indices of the B cell repertoires and the microbiome, as well as associations between bacterial and BCR clusters. Our results shed light on the ontogeny of the adaptive immune system and the microbiome, providing a baseline for future research.
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Affiliation(s)
- Amit Gilboa
- Bioengineering, Faculty of Engineering, Bar Ilan University, Ramat Gan, Israel
- Bar Ilan Institute of Nanotechnologies and Advanced Materials, Bar Ilan University, Ramat Gan, Israel; and
| | - Ronen Hope
- Bioengineering, Faculty of Engineering, Bar Ilan University, Ramat Gan, Israel
| | - Shira Ben Simon
- Azrieli Faculty of Medicine, Bar Ilan University, Safed, Israel
| | - Pazit Polak
- Bioengineering, Faculty of Engineering, Bar Ilan University, Ramat Gan, Israel
- Bar Ilan Institute of Nanotechnologies and Advanced Materials, Bar Ilan University, Ramat Gan, Israel; and
| | - Omry Koren
- Azrieli Faculty of Medicine, Bar Ilan University, Safed, Israel
| | - Gur Yaari
- Bioengineering, Faculty of Engineering, Bar Ilan University, Ramat Gan, Israel;
- Bar Ilan Institute of Nanotechnologies and Advanced Materials, Bar Ilan University, Ramat Gan, Israel; and
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Inferring Species Compositions of Complex Fungal Communities from Long- and Short-Read Sequence Data. mBio 2022; 13:e0244421. [PMID: 35404122 PMCID: PMC9040722 DOI: 10.1128/mbio.02444-21] [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] [Indexed: 11/20/2022] Open
Abstract
Our study is unique in that it provides an in-depth comparative study of a real-life complex fungal community analyzed with multiple long- and short-read sequencing approaches. These technologies and their application are currently of great interest to diverse biologists as they seek to characterize the community compositions of microbiomes.
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43
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Liao C, Wang L. The Microbial Quality of Commercial Chopped Romaine Lettuce Before and After the “Use By” Date. Front Microbiol 2022; 13:850720. [PMID: 35479635 PMCID: PMC9036107 DOI: 10.3389/fmicb.2022.850720] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/08/2022] [Accepted: 03/07/2022] [Indexed: 12/27/2022] Open
Abstract
In the United States, due to the limited information about the microbial quality and safety of fresh produce after the labeled open dates, unnecessary discarding of fresh produce in good conditions and food loss have been caused. The aim of this study was to address this knowledge gap and evaluate the microbial quality of commercial chopped Romaine lettuce (RL) on the “Use By” dates (UBD) and 5 days after the “Use By” dates (UBD5). The microbial quality was evaluated using culture-dependent and culture-independent methods. Three brands of RL samples, from early and late harvest seasons, were purchased from local grocery stores and stored at 4°C until 5 days after their UBD. On the UBD and UBD5, bagged lettuce was opened, homogenized, diluted, and plated onto plate count agar and anaerobic agar to obtain total aerobic plate counts (APC) and total anaerobic plate counts (AnPC). For the culture-independent method, DNA was extracted from each sample homogenate and used for 16S rRNA gene sequencing. The culture-dependent results showed that there was no significant change in APC or AnPC between UBD and UBD5 samples. The APC and AnPC ranged from 5.71 ± 0.74 to 7.89 ± 0.10 Log CFU/g and 1.75 ± 0.08 to 7.32 ± 0.61 Log CFU/g, respectively. No significant difference in alpha diversity, based on observed features and Shannon index values, was detected between UBD and UBD5 samples using 16S rRNA sequencing. Similarly, no difference was observed in beta diversity based on the Jaccard distance matrixes and the weighted Unifrac distance matrixes. Taxonomic analysis revealed 128 genera in all RL samples. The top five genera were Pseudomonas (with relative abundance ranging from 16.47 to 92.72%), Serratia (0–52.35%), Weissella (0–42.42%), Pantoea (0.17–21.33%), and Lactococcus (0–24.30%). The differential abundance analysis based on the ANCOM test showed that no bacteria were detected to have significantly differential abundance in RL between UBD and UBD5. In summary, both the culture-dependent and culture-independent results showed that there was no significant difference in the microbial quality of RL before and shortly after the UBD.
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Zhang Z, Cheng S, Solis-Lemus C. Towards a robust out-of-the-box neural network model for genomic data. BMC Bioinformatics 2022; 23:125. [PMID: 35397517 PMCID: PMC8994362 DOI: 10.1186/s12859-022-04660-8] [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: 05/11/2021] [Accepted: 03/21/2022] [Indexed: 11/10/2022] Open
Abstract
Abstract
Background
The accurate prediction of biological features from genomic data is paramount for precision medicine and sustainable agriculture. For decades, neural network models have been widely popular in fields like computer vision, astrophysics and targeted marketing given their prediction accuracy and their robust performance under big data settings. Yet neural network models have not made a successful transition into the medical and biological world due to the ubiquitous characteristics of biological data such as modest sample sizes, sparsity, and extreme heterogeneity.
Results
Here, we investigate the robustness, generalization potential and prediction accuracy of widely used convolutional neural network and natural language processing models with a variety of heterogeneous genomic datasets. Mainly, recurrent neural network models outperform convolutional neural network models in terms of prediction accuracy, overfitting and transferability across the datasets under study.
Conclusions
While the perspective of a robust out-of-the-box neural network model is out of reach, we identify certain model characteristics that translate well across datasets and could serve as a baseline model for translational researchers.
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Jones CB, White JR, Ernst SE, Sfanos KS, Peiffer LB. Incorporation of Data From Multiple Hypervariable Regions when Analyzing Bacterial 16S rRNA Gene Sequencing Data. Front Genet 2022; 13:799615. [PMID: 35432480 PMCID: PMC9009396 DOI: 10.3389/fgene.2022.799615] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/21/2021] [Accepted: 03/08/2022] [Indexed: 01/04/2023] Open
Abstract
Short read 16 S rRNA amplicon sequencing is a common technique used in microbiome research. However, inaccuracies in estimated bacterial community composition can occur due to amplification bias of the targeted hypervariable region. A potential solution is to sequence and assess multiple hypervariable regions in tandem, yet there is currently no consensus as to the appropriate method for analyzing this data. Additionally, there are many sequence analysis resources for data produced from the Illumina platform, but fewer open-source options available for data from the Ion Torrent platform. Herein, we present an analysis pipeline using open-source analysis platforms that integrates data from multiple hypervariable regions and is compatible with data produced from the Ion Torrent platform. We used the ThermoFisher Ion 16 S Metagenomics Kit and a mock community of twenty bacterial strains to assess taxonomic classification of six amplicons from separate hypervariable regions (V2, V3, V4, V6-7, V8, V9) using our analysis pipeline. We report that different amplicons have different specificities for taxonomic classification, which also has implications for global level analyses such as alpha and beta diversity. Finally, we utilize a generalized linear modeling approach to statistically integrate the results from multiple hypervariable regions and apply this methodology to data from a representative clinical cohort. We conclude that examining sequencing results across multiple hypervariable regions provides more taxonomic information than sequencing across a single region. The data across multiple hypervariable regions can be combined using generalized linear models to enhance the statistical evaluation of overall differences in community structure and relatedness among sample groups.
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Affiliation(s)
- Carli B. Jones
- Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, MD, United States
| | | | - Sarah E. Ernst
- Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, MD, United States
| | - Karen S. Sfanos
- Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, MD, United States
- Deparment of Oncology, Johns Hopkins University School of Medicine, Baltimore, MD, United States
- Department of Urology, Johns Hopkins University School of Medicine, Baltimore, MD, United States
- *Correspondence: Lauren B. Peiffer, ; Karen S. Sfanos,
| | - Lauren B. Peiffer
- Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, MD, United States
- Department of Molecular and Comparative Pathobiology, Johns Hopkins University School of Medicine, Baltimore, MD, United States
- *Correspondence: Lauren B. Peiffer, ; Karen S. Sfanos,
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Thomas SC, Xu F, Pushalkar S, Lin Z, Thakor N, Vardhan M, Flaminio Z, Khodadadi-Jamayran A, Vasconcelos R, Akapo A, Queiroz E, Bederoff M, Janal MN, Guo Y, Aguallo D, Gordon T, Corby PM, Kamer AR, Li X, Saxena D. Electronic Cigarette Use Promotes a Unique Periodontal Microbiome. mBio 2022; 13:e0007522. [PMID: 35189698 PMCID: PMC8903898 DOI: 10.1128/mbio.00075-22] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2022] [Accepted: 01/28/2022] [Indexed: 12/15/2022] Open
Abstract
Electronic cigarettes (e-cigs) have become prevalent as an alternative to conventional cigarette smoking, particularly in youth. E-cig aerosols contain unique chemicals which alter the oral microbiome and promote dysbiosis in ways we are just beginning to investigate. We conducted a 6-month longitudinal study involving 84 subjects who were either e-cig users, conventional smokers, or nonsmokers. Periodontal condition, cytokine levels, and subgingival microbial community composition were assessed, with periodontal, clinical, and cytokine measures reflecting cohort habit and positively correlating with pathogenic taxa (e.g., Treponema, Saccharibacteria, and Porphyromonas). α-Diversity increased similarly across cohorts longitudinally, yet each cohort maintained a unique microbiome. The e-cig microbiome shared many characteristics with the microbiome of conventional smokers and some with nonsmokers, yet it maintained a unique subgingival microbial community enriched in Fusobacterium and Bacteroidales (G-2). Our data suggest that e-cig use promotes a unique periodontal microbiome, existing as a stable heterogeneous state between those of conventional smokers and nonsmokers and presenting unique oral health challenges. IMPORTANCE Electronic cigarette (e-cig) use is gaining in popularity and is often perceived as a healthier alternative to conventional smoking. Yet there is little evidence of the effects of long-term use of e-cigs on oral health. Conventional cigarette smoking is a prominent risk factor for the development of periodontitis, an oral disease affecting nearly half of adults over 30 years of age in the United States. Periodontitis is initiated through a disturbance in the microbial biofilm communities inhabiting the unique space between teeth and gingival tissues. This disturbance instigates host inflammatory and immune responses and, if left untreated, leads to tooth and bone loss and systemic diseases. We found that the e-cig user's periodontal microbiome is unique, eliciting unique host responses. Yet some similarities to the microbiomes of both conventional smokers and nonsmokers exist, with strikingly more in common with that of cigarette smokers, suggesting that there is a unique periodontal risk associated with e-cig use.
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Affiliation(s)
- Scott C. Thomas
- Department of Molecular Pathobiology, New York University College of Dentistry, New York, New York, USA
| | - Fangxi Xu
- Department of Molecular Pathobiology, New York University College of Dentistry, New York, New York, USA
| | - Smruti Pushalkar
- Department of Molecular Pathobiology, New York University College of Dentistry, New York, New York, USA
| | - Ziyan Lin
- Applied Bioinformatics Labs, New York University School of Medicine, New York, New York, USA
| | - Nirali Thakor
- Department of Molecular Pathobiology, New York University College of Dentistry, New York, New York, USA
| | - Mridula Vardhan
- Department of Molecular Pathobiology, New York University College of Dentistry, New York, New York, USA
| | - Zia Flaminio
- Department of Molecular Pathobiology, New York University College of Dentistry, New York, New York, USA
| | | | - Rebeca Vasconcelos
- Department of Molecular Pathobiology, New York University College of Dentistry, New York, New York, USA
| | - Adenike Akapo
- Department of Molecular Pathobiology, New York University College of Dentistry, New York, New York, USA
| | - Erica Queiroz
- Department of Molecular Pathobiology, New York University College of Dentistry, New York, New York, USA
| | - Maria Bederoff
- Department of Molecular Pathobiology, New York University College of Dentistry, New York, New York, USA
| | - Malvin N. Janal
- Department of Epidemiology & Health Promotion, New York University College of Dentistry, New York, New York, USA
| | - Yuqi Guo
- Department of Molecular Pathobiology, New York University College of Dentistry, New York, New York, USA
| | - Deanna Aguallo
- Department of Molecular Pathobiology, New York University College of Dentistry, New York, New York, USA
| | - Terry Gordon
- Department of Environmental Medicine, New York University School of Medicine, New York, New York, USA
| | - Patricia M. Corby
- Department of Oral Medicine, School of Dental Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Angela R. Kamer
- Department of Periodontology and Implant Dentistry, New York University College of Dentistry, New York, New York, USA
| | - Xin Li
- Department of Molecular Pathobiology, New York University College of Dentistry, New York, New York, USA
| | - Deepak Saxena
- Department of Molecular Pathobiology, New York University College of Dentistry, New York, New York, USA
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Multi-omics data integration reveals metabolome as the top predictor of the cervicovaginal microenvironment. PLoS Comput Biol 2022; 18:e1009876. [PMID: 35196323 PMCID: PMC8901057 DOI: 10.1371/journal.pcbi.1009876] [Citation(s) in RCA: 22] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2021] [Revised: 03/07/2022] [Accepted: 01/28/2022] [Indexed: 12/12/2022] Open
Abstract
Emerging evidence suggests that host-microbe interaction in the cervicovaginal microenvironment contributes to cervical carcinogenesis, yet dissecting these complex interactions is challenging. Herein, we performed an integrated analysis of multiple "omics" datasets to develop predictive models of the cervicovaginal microenvironment and identify characteristic features of vaginal microbiome, genital inflammation and disease status. Microbiomes, vaginal pH, immunoproteomes and metabolomes were measured in cervicovaginal specimens collected from a cohort (n = 72) of Arizonan women with or without cervical neoplasm. Multi-omics integration methods, including neural networks (mmvec) and Random Forest supervised learning, were utilized to explore potential interactions and develop predictive models. Our integrated analyses revealed that immune and cancer biomarker concentrations were reliably predicted by Random Forest regressors trained on microbial and metabolic features, suggesting close correspondence between the vaginal microbiome, metabolome, and genital inflammation involved in cervical carcinogenesis. Furthermore, we show that features of the microbiome and host microenvironment, including metabolites, microbial taxa, and immune biomarkers are predictive of genital inflammation status, but only weakly to moderately predictive of cervical neoplastic disease status. Different feature classes were important for prediction of different phenotypes. Lipids (e.g. sphingolipids and long-chain unsaturated fatty acids) were strong predictors of genital inflammation, whereas predictions of vaginal microbiota and vaginal pH relied mostly on alterations in amino acid metabolism. Finally, we identified key immune biomarkers associated with the vaginal microbiota composition and vaginal pH (MIF), as well as genital inflammation (IL-6, IL-10, MIP-1α).
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Boger-May A, Reed T, LaTorre D, Ruley-Haase K, Hoffman H, English L, Roncagli C, Overstreet AM, Boone D. Altered microbial biogeography in an innate model of colitis. Gut Microbes 2022; 14:2123677. [PMID: 36162004 PMCID: PMC9519015 DOI: 10.1080/19490976.2022.2123677] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/25/2022] [Accepted: 09/02/2022] [Indexed: 02/04/2023] Open
Abstract
Changes in the spatial organization, or biogeography, of colonic microbes have been observed in human inflammatory bowel disease (IBD) and mouse models of IBD. We have developed a mouse model of IBD that occurs spontaneously and consistently in the absence of adaptive immunity. Mice expressing tumor necrosis factor-induced protein 3 (TNFAIP3) in intestinal epithelial cells (villin-TNFAIP3) develop colitis when interbred with Recombination Activating 1-deficient mice (RAG1<sup>-/-</sup>). The colitis in villin-TNFAIP3 × RAG1<sup>-/-</sup> (TRAG) mice is prevented by antibiotics, indicating a role for microbes in this innate colitis. We therefore explored the biogeography of microbes and responses to antibiotics in TRAG colitis. Laser capture microdissection and 16S rRNA sequencing revealed altered microbial populations across the transverse axis of the colon as the inner mucus layer of TRAG, but not RAG1<sup>-/-</sup>, mice was infiltrated by microbes, which included increased abundance of the classes Gammaproteobacteria and Actinobacteria. Along the longitudinal axis differences in the efficacy of antibiotics to prevent colitis were evident. Neomycin was most effective for prevention of inflammation in the cecum, while ampicillin was most effective in the proximal and distal colon. RAG1<sup>-/-</sup>, but not TRAG, mice exhibited a structured pattern of bacterial abundance with decreased Firmicutes and Proteobacteria but increased Bacteroidetes along the proximal to distal axis of the gut. TRAG mice exhibited increased relative abundance of potential pathobionts including <i>Bifidobacterium animalis</i> along the longitudinal axis of the gut whereas others, like <i>Helicobacter hepaticus</i> were increased only in the cecum. Potential beneficial organisms including <i>Roseburia</i> were decreased in the proximal regions of the TRAG colon, while <i>Bifidobacterium pseudolongulum</i> was decreased in the TRAG distal colon. Thus, the innate immune system maintains a structured, spatially organized, gut microbiome along the transverse and longitudinal axis of the gut, and disruption of this biogeography is a feature of innate immune colitis.
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Affiliation(s)
- Antonia Boger-May
- Department of Microbiology and Immunology, Indiana University School of Medicine, South Bend, IN, USA
| | - Theodore Reed
- Department of Biology, University of Notre Dame, South Bend, IN, USA
| | - Diana LaTorre
- Department of Biology, University of Notre Dame, South Bend, IN, USA
| | - Katelyn Ruley-Haase
- Department of Microbiology and Immunology, Indiana University School of Medicine, South Bend, IN, USA
| | - Hunter Hoffman
- Department of Microbiology and Immunology, Indiana University School of Medicine, South Bend, IN, USA
| | - Lauren English
- Department of Biology, University of Notre Dame, South Bend, IN, USA
| | - Connor Roncagli
- Department of Biology, University of Notre Dame, South Bend, IN, USA
| | - Anne-Marie Overstreet
- Department of Microbiology and Immunology, Indiana University School of Medicine, South Bend, IN, USA
| | - David Boone
- Department of Microbiology and Immunology, Indiana University School of Medicine, South Bend, IN, USA
- Department of Biology, University of Notre Dame, South Bend, IN, USA
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Pathirana E, Whittington RJ, Hick PM. Impact of seawater temperature on the Pacific oyster (Crassostrea gigas) microbiome and susceptibility to disease associated with Ostreid herpesvirus-1 (OsHV-1). ANIMAL PRODUCTION SCIENCE 2022. [DOI: 10.1071/an21505] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/23/2022]
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Chibani CM, Mahnert A, Borrel G, Almeida A, Werner A, Brugère JF, Gribaldo S, Finn RD, Schmitz RA, Moissl-Eichinger C. A catalogue of 1,167 genomes from the human gut archaeome. Nat Microbiol 2022; 7:48-61. [PMID: 34969981 PMCID: PMC8727293 DOI: 10.1038/s41564-021-01020-9] [Citation(s) in RCA: 68] [Impact Index Per Article: 34.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/01/2021] [Accepted: 11/10/2021] [Indexed: 12/19/2022]
Abstract
The human gut microbiome plays an important role in health, but its archaeal diversity remains largely unexplored. In the present study, we report the analysis of 1,167 nonredundant archaeal genomes (608 high-quality genomes) recovered from human gastrointestinal tract, sampled across 24 countries and rural and urban populations. We identified previously undescribed taxa including 3 genera, 15 species and 52 strains. Based on distinct genomic features, we justify the split of the Methanobrevibacter smithii clade into two separate species, with one represented by the previously undescribed 'Candidatus Methanobrevibacter intestini'. Patterns derived from 28,581 protein clusters showed significant associations with sociodemographic characteristics such as age groups and lifestyle. We additionally show that archaea are characterized by specific genomic and functional adaptations to the host and carry a complex virome. Our work expands our current understanding of the human archaeome and provides a large genome catalogue for future analyses to decipher its impact on human physiology.
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Affiliation(s)
| | - Alexander Mahnert
- Diagnostic & Research Institute of Hygiene, Microbiology and Environmental Medicine, Medical University Graz, Graz, Austria
| | - Guillaume Borrel
- Department of Microbiology, Unit of Evolutionary Biology of the Microbial Cell, Institut Pasteur, Paris, France
| | - Alexandre Almeida
- European Molecular Biology Laboratory, European Bioinformatics Institute, Cambridge, UK
- Wellcome Sanger Institute, Cambridge, UK
| | - Almut Werner
- Institute for Microbiology, Christian-Albrechts-University Kiel, Kiel, Germany
| | - Jean-François Brugère
- Institut Universitaire de Technologie Clermont Auvergne, Université Clermont Auvergne, CNRS, UMR 6023 Laboratoire Microorganismes: Genome et Environnement, Clermont-Ferrand, France
| | - Simonetta Gribaldo
- Department of Microbiology, Unit of Evolutionary Biology of the Microbial Cell, Institut Pasteur, Paris, France
| | - Robert D Finn
- European Molecular Biology Laboratory, European Bioinformatics Institute, Cambridge, UK
| | - Ruth A Schmitz
- Institute for Microbiology, Christian-Albrechts-University Kiel, Kiel, Germany.
| | - Christine Moissl-Eichinger
- Diagnostic & Research Institute of Hygiene, Microbiology and Environmental Medicine, Medical University Graz, Graz, Austria.
- BioTechMed, Graz, Austria.
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