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Huggins LG, Namgyel U, Wangchuk P, Atapattu U, Traub R, Colella V. Metabarcoding using nanopore sequencing enables identification of diverse and zoonotic vector-borne pathogens from neglected regions: A case study investigating dogs from Bhutan. One Health 2024; 19:100839. [PMID: 39005237 PMCID: PMC11238191 DOI: 10.1016/j.onehlt.2024.100839] [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: 05/27/2024] [Revised: 06/12/2024] [Accepted: 06/13/2024] [Indexed: 07/16/2024] Open
Abstract
The diversity and prevalence of canine vector-borne pathogens (VBPs) in Bhutan have to date remained unexplored, whilst recent epidemiological surveys in other South Asian nations have found diseases caused by VBPs to be rife in local dog populations. Importantly, many of such VBPs can infect people as well, with a building body of evidence identifying potentially zoonotic rickettsial organisms infecting humans in Bhutan. Given the lack of data on canine pathogens in Bhutan we employed a suite of deep-sequencing metabarcoding methods using Oxford Nanopore Technologies' MinION™ device to holistically characterise the bacterial, apicomplexan and filarial worm blood-borne pathogens of dogs in the country's south. Of the 95 stray, owned and community dogs sampled 78% (95% CI = 69%-85%) were infected with at least one VBP. Pathogen species detected were highly diverse including the bacteria Mycoplasma haemocanis in 16% (95% CI: 10-24%), Ehrlichia canis in 4% (95% CI: 2-10%), Anaplasma platys in 2% (95% CI: 0.5-7%) of dogs as well as the zoonotic species Bartonella clarridgeiae in 1% (95% CI: 0.1-6%), a potentially novel Bartonella spp. and an Ehrlichia chaffeensis-like bacterium, both in 1% (95% CI: 0.1-6%) of dogs. The apicomplexan haemoparasites Hepatozoon canis in 62% (95% CI: 52-71%), Babesia gibsoni in 45% (95% CI: 36-55%) and Babesia vogeli in 3% (95% CI: 1-9%) of dogs were also detected. Finally, 5% (95% CI: 2-12%) of dogs were found to be infected with the filarioid Acanthocheilonema reconditum and 1% (95% CI: 0.1-6%) with zoonotic Dirofilaria sp. hongkongensis. One canine was found positive to the filarioid Setaria tundra, a species normally found infecting cervids. The elucidated diversity of VBP communities highlights the strength of assumption-free diagnostics, such as metabarcoding, in detecting rare, novel, and unexpected pathogens. This approach to identifying pathogen diversity is of critical importance when investigating regions and populations that have thus far been neglected, with the findings aiding the development of future One Health informed strategies for disease control.
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Affiliation(s)
- Lucas G. Huggins
- Melbourne Veterinary School, Faculty of Science, University of Melbourne, Parkville, Victoria 3050, Australia
| | - Ugyen Namgyel
- National Centre for Animal Health, Serbithang, Thimphu 11001, Bhutan
| | - Pelden Wangchuk
- National Centre for Animal Health, Serbithang, Thimphu 11001, Bhutan
| | - Ushani Atapattu
- Melbourne Veterinary School, Faculty of Science, University of Melbourne, Parkville, Victoria 3050, Australia
| | - Rebecca Traub
- Melbourne Veterinary School, Faculty of Science, University of Melbourne, Parkville, Victoria 3050, Australia
- CityU Jockey Club College of Veterinary Medicine and Life Sciences, City University of Hong Kong, Kowloon, Hong Kong
| | - Vito Colella
- Melbourne Veterinary School, Faculty of Science, University of Melbourne, Parkville, Victoria 3050, Australia
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2
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Maes M, Zhou B, Vasupanrajit A, Jirakran K, Klomkliew P, Chanchaem P, Tunvirachaisakul C, Plaimas K, Suratanee A, Li J, Almulla AF, Payungporn S. A further examination of growth factors, T helper 1 polarization, and the gut microbiome in major depression: Associations with reoccurrence of illness, cognitive functions, suicidal behaviors, and quality of life. J Psychiatr Res 2024; 176:430-441. [PMID: 38968876 DOI: 10.1016/j.jpsychires.2024.06.037] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/02/2024] [Accepted: 06/24/2024] [Indexed: 07/07/2024]
Abstract
Growth factors, T helper (Th)1 polarization, and the microbiome are involved in the pathophysiology of major depression (MDD). It remains unclear whether the combination of these three pathways could enhance the accuracy of predicting the features of MDD, including recurrence of illness (ROI), suicidal behaviors and the phenome. We measured serum stem cell factor (SCF), stem cell growth factor (SCGF), stromal cell-derived factor-1 (SDF-1), platelet-derived growth factor (PDGF), hepatocyte growth factor (HGF), macrophage-colony stimulating factor (M-CSF) and vascular endothelial growth factor (VEGF), the ratio of serum Th1/Th2 cytokines (zTh1-zTh2), and the abundances of gut microbiome taxa by analyzing stool samples using 16S rDNA sequencing from 32 MDD patients and 37 healthy controls. The results show that serum SCF is significantly lower and VEGF increased in MDD. Adverse childhood experiences (ACE) and ROI are significantly associated with lowered SCF and increasing VEGF. Lifetime and current suicidal behaviors are strongly predicted (63.5%) by an increased VEGF/SCF ratio, Th1 polarization, a gut microbiome enterotype indicating gut dysbiosis, and lowered abundance of Dorea and Faecalobacterium. Around 80.5% of the variance in the phenome's severity is explained by ROI, ACEs, and lowered Parabacteroides distasonis and Clostridium IV abundances. A large part of the variance in health-related quality of life (54.1%) is explained by the VEGF/SCF ratio, Th1 polarization, ACE, and male sex. In conclusion, key features of MDD are largely predicted by the cumulative effects of ACE, Th1 polarization, aberrations in growth factors and the gut microbiome with increased pathobionts but lowered beneficial symbionts.
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Affiliation(s)
- Michael Maes
- Sichuan Provincial Center for Mental Health, Sichuan Provincial People's Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu, 610072, China; Key Laboratory of Psychosomatic Medicine, Chinese Academy of Medical Sciences, Chengdu, 610072, China; Department of Psychiatry, Faculty of Medicine, Chulalongkorn University and King Chulalongkorn Memorial Hospital, The Thai Red Cross Society, Bangkok, Thailand; Kyung Hee University, 26 Kyungheedae-ro, Dongdaemun-gu, Seoul, 02447, South Korea; Department of Psychiatry, Medical University of Plovdiv, Plovdiv, Bulgaria; Research Institute, Medical University of Plovdiv, Plovdiv, Bulgaria; Cognitive Impairment and Dementia Research Unit, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand.
| | - Bo Zhou
- Sichuan Provincial Center for Mental Health, Sichuan Provincial People's Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu, 610072, China; Key Laboratory of Psychosomatic Medicine, Chinese Academy of Medical Sciences, Chengdu, 610072, China.
| | - Asara Vasupanrajit
- Department of Psychiatry, Faculty of Medicine, Chulalongkorn University and King Chulalongkorn Memorial Hospital, The Thai Red Cross Society, Bangkok, Thailand.
| | - Ketsupar Jirakran
- Department of Psychiatry, Faculty of Medicine, Chulalongkorn University and King Chulalongkorn Memorial Hospital, The Thai Red Cross Society, Bangkok, Thailand; Maximizing Thai Children's Developmental Potential Research Unit, Department of Pediatrics, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand.
| | - Pavit Klomkliew
- Center of Excellence in Systems Microbiology, Department of Biochemistry, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand.
| | - Prangwalai Chanchaem
- Center of Excellence in Systems Microbiology, Department of Biochemistry, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand.
| | - Chavit Tunvirachaisakul
- Department of Psychiatry, Faculty of Medicine, Chulalongkorn University and King Chulalongkorn Memorial Hospital, The Thai Red Cross Society, Bangkok, Thailand; Cognitive Impairment and Dementia Research Unit, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand.
| | - Kitiporn Plaimas
- Advanced Virtual and Intelligent Computing (AVIC) Center, Department of Mathematics and Computer Science, Faculty of Science, Chulalongkorn University, Bangkok, 10330, Thailand.
| | - Apichat Suratanee
- Department of Mathematics, Faculty of Applied Science, King Mongkut's University of Technology North Bangkok, Bangkok, 10800, Thailand.
| | - Jing Li
- Sichuan Provincial Center for Mental Health, Sichuan Provincial People's Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu, 610072, China; Key Laboratory of Psychosomatic Medicine, Chinese Academy of Medical Sciences, Chengdu, 610072, China.
| | - Abbas F Almulla
- Sichuan Provincial Center for Mental Health, Sichuan Provincial People's Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu, 610072, China; Key Laboratory of Psychosomatic Medicine, Chinese Academy of Medical Sciences, Chengdu, 610072, China; Medical Laboratory Technology Department, College of Medical Technology, The Islamic University, Najaf, Iraq.
| | - Sunchai Payungporn
- Center of Excellence in Systems Microbiology, Department of Biochemistry, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand.
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3
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Visedthorn S, Klomkliew P, Sawaswong V, Sivapornnukul P, Chanchaem P, Saejew T, Pavatung P, Kanjanabuch T, Payungporn S. Bacterial classification based on metagenomic analysis in peritoneal dialysis effluent of patients with chronic kidney disease. Biomed Rep 2024; 21:102. [PMID: 38800037 PMCID: PMC11117105 DOI: 10.3892/br.2024.1790] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/15/2024] [Accepted: 04/30/2024] [Indexed: 05/29/2024] Open
Abstract
End-stage kidney disease (ESKD) is the final stage of chronic kidney disease (CKD), in which long-term damage has been caused to the kidneys to the extent that they are no longer able to filter the blood of waste and extra fluid. Peritoneal dialysis (PD) is one of the treatments that remove waste products from the blood through the peritoneum which can improve the quality of life for patients with ESKD. However, PD-associated peritonitis is an important complication that contributes to the mortality of patients, and the detection of bacterial pathogens is associated with a high culture-negative rate. The present study aimed to apply a metagenomic approach for the bacterial identification in the PD effluent (PDE) of patients with CKD based on 16S ribosomal DNA sequencing. As a result of this investigation, five major bacteria species, namely Escherichia coli, Phyllobacterium myrsinacearum, Streptococcus gallolyticus, Staphylococcus epidermidis and Shewanella algae, were observed in PDE samples. Taken together, the findings of the present study have suggested that this metagenomic approach could provide a greater potential for bacterial taxonomic identification compared with traditional culture methods, suggesting that this is a practical and culture-independent alternative approach that will offer a novel preventative infectious strategy in patients with CDK.
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Affiliation(s)
- Suthida Visedthorn
- Medical Biochemistry Program, Department of Biochemistry, Faculty of Medicine, Chulalongkorn University, Bangkok 10330, Thailand
- Center of Excellence in Systems Microbiology, Faculty of Medicine, Chulalongkorn University, Bangkok 10330, Thailand
| | - Pavit Klomkliew
- Center of Excellence in Systems Microbiology, Faculty of Medicine, Chulalongkorn University, Bangkok 10330, Thailand
| | - Vorthon Sawaswong
- Center of Excellence in Systems Microbiology, Faculty of Medicine, Chulalongkorn University, Bangkok 10330, Thailand
- Department of Biochemistry, Faculty of Science, Mahidol University, Bangkok 10400, Thailand
| | - Pavaret Sivapornnukul
- Center of Excellence in Systems Microbiology, Faculty of Medicine, Chulalongkorn University, Bangkok 10330, Thailand
| | - Prangwalai Chanchaem
- Center of Excellence in Systems Microbiology, Faculty of Medicine, Chulalongkorn University, Bangkok 10330, Thailand
| | - Thunvarat Saejew
- Center of Excellence in Kidney Metabolic Disorders, Faculty of Medicine, Chulalongkorn University, Bangkok 10330, Thailand
| | - Preeyarat Pavatung
- Center of Excellence in Kidney Metabolic Disorders, Faculty of Medicine, Chulalongkorn University, Bangkok 10330, Thailand
| | - Talerngsak Kanjanabuch
- Center of Excellence in Kidney Metabolic Disorders, Faculty of Medicine, Chulalongkorn University, Bangkok 10330, Thailand
- Division of Nephrology, Department of Internal Medicine, Faculty of Medicine, Chulalongkorn University, Bangkok 10330, Thailand
- CAPD Excellence Center, King Chulalongkorn Memorial Hospital, Bangkok 10330, Thailand
| | - Sunchai Payungporn
- Center of Excellence in Systems Microbiology, Faculty of Medicine, Chulalongkorn University, Bangkok 10330, Thailand
- Department of Biochemistry, Faculty of Medicine, Chulalongkorn University, Bangkok 10330, Thailand
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4
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Walsh CJ, Srinivas M, Stinear TP, van Sinderen D, Cotter PD, Kenny JG. GROND: a quality-checked and publicly available database of full-length 16S-ITS-23S rRNA operon sequences. Microb Genom 2024; 10:001255. [PMID: 38847800 PMCID: PMC11261877 DOI: 10.1099/mgen.0.001255] [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: 02/02/2024] [Accepted: 05/07/2024] [Indexed: 07/24/2024] Open
Abstract
Sequence comparison of 16S rRNA PCR amplicons is an established approach to taxonomically identify bacterial isolates and profile complex microbial communities. One potential application of recent advances in long-read sequencing technologies is to sequence entire rRNA operons and capture significantly more phylogenetic information compared to sequencing of the 16S rRNA (or regions thereof) alone, with the potential to increase the proportion of amplicons that can be reliably classified to lower taxonomic ranks. Here we describe GROND (Genome-derived Ribosomal Operon Database), a publicly available database of quality-checked 16S-ITS-23S rRNA operons, accompanied by multiple taxonomic classifications. GROND will aid researchers in analysis of their data and act as a standardised database to allow comparison of results between studies.
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Affiliation(s)
- Calum J. Walsh
- Doherty Applied Microbial Genomics, Department of Microbiology & Immunology, The University of Melbourne at the Peter Doherty Institute for Infection & Immunity, 792 Elizabeth Street, Melbourne VIC 3000, Australia
| | - Meghana Srinivas
- Teagasc Food Research Centre, Moorepark, Cork, Ireland
- APC Microbiome Ireland & School of Microbiology, University College Cork, Cork, Ireland
| | - Timothy P. Stinear
- Doherty Applied Microbial Genomics, Department of Microbiology & Immunology, The University of Melbourne at the Peter Doherty Institute for Infection & Immunity, 792 Elizabeth Street, Melbourne VIC 3000, Australia
| | - Douwe van Sinderen
- APC Microbiome Ireland & School of Microbiology, University College Cork, Cork, Ireland
| | - Paul D. Cotter
- Teagasc Food Research Centre, Moorepark, Cork, Ireland
- APC Microbiome Ireland & School of Microbiology, University College Cork, Cork, Ireland
- VistaMilk SFI Research Centre, Teagasc Moorepark, Cork, Ireland
| | - John G. Kenny
- Teagasc Food Research Centre, Moorepark, Cork, Ireland
- APC Microbiome Ireland & School of Microbiology, University College Cork, Cork, Ireland
- VistaMilk SFI Research Centre, Teagasc Moorepark, Cork, Ireland
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5
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Agustinho DP, Fu Y, Menon VK, Metcalf GA, Treangen TJ, Sedlazeck FJ. Unveiling microbial diversity: harnessing long-read sequencing technology. Nat Methods 2024; 21:954-966. [PMID: 38689099 DOI: 10.1038/s41592-024-02262-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/08/2022] [Accepted: 03/29/2024] [Indexed: 05/02/2024]
Abstract
Long-read sequencing has recently transformed metagenomics, enhancing strain-level pathogen characterization, enabling accurate and complete metagenome-assembled genomes, and improving microbiome taxonomic classification and profiling. These advancements are not only due to improvements in sequencing accuracy, but also happening across rapidly changing analysis methods. In this Review, we explore long-read sequencing's profound impact on metagenomics, focusing on computational pipelines for genome assembly, taxonomic characterization and variant detection, to summarize recent advancements in the field and provide an overview of available analytical methods to fully leverage long reads. We provide insights into the advantages and disadvantages of long reads over short reads and their evolution from the early days of long-read sequencing to their recent impact on metagenomics and clinical diagnostics. We further point out remaining challenges for the field such as the integration of methylation signals in sub-strain analysis and the lack of benchmarks.
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Affiliation(s)
- Daniel P Agustinho
- Human Genome Sequencing center, Baylor College of Medicine, Houston, TX, USA
| | - Yilei Fu
- Department of Computer Science, Rice University, Houston, TX, USA
| | - Vipin K Menon
- Human Genome Sequencing center, Baylor College of Medicine, Houston, TX, USA
- Senior research project manager, Human Genetics, Genentech, South San Francisco, CA, USA
| | - Ginger A Metcalf
- Human Genome Sequencing center, Baylor College of Medicine, Houston, TX, USA
| | - Todd J Treangen
- Department of Computer Science, Rice University, Houston, TX, USA
- Department of Bioengineering, Rice University, Houston, TX, USA
| | - Fritz J Sedlazeck
- Human Genome Sequencing center, Baylor College of Medicine, Houston, TX, USA.
- Department of Computer Science, Rice University, Houston, TX, USA.
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6
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Marnpae M, Balmori V, Kamonsuwan K, Nungarlee U, Charoensiddhi S, Thilavech T, Suantawee T, Sivapornnukul P, Chanchaem P, Payungporn S, Dahlan W, Hamid N, Nhujak T, Adisakwattana S. Modulation of the gut microbiota and short-chain fatty acid production by gac fruit juice and its fermentation in in vitro colonic fermentation. Food Funct 2024; 15:3640-3652. [PMID: 38482709 DOI: 10.1039/d3fo04318e] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/04/2024]
Abstract
This study aimed to investigate the effects of gac fruit juice and its probiotic fermentation (FGJ) utilizing Lactobacillus paracasei on the modulation of the gut microbiota and the production of short-chain fatty acids (SCFAs). We conducted a comparison between FGJ, non-fermented gac juice (GJ), and control samples through in vitro digestion and colonic fermentation using the human gut microbiota derived from fecal inoculum. Our findings revealed that both GJ and FGJ led to an increase in the viability of Lactobacilli, with FGJ exhibiting even higher levels compared to the control. The results from the 16S rDNA amplicon sequencing technique showed that both GJ and FGJ exerted positive impact on the gut microbiota by promoting beneficial bacteria, notably Lactobacillus mucosae and Bacteroides vulgatus. Additionally, both GJ and FGJ significantly elevated the levels of SCFAs, particularly acetic, propionic, and n-butyric acids, as well as lactic acid, in comparison to the control. Notably, FGJ exhibited a more pronounced effect on the gut microbiota compared to GJ. This was evident in its ability to enhance species richness, reduce the Firmicutes to Bacteroidetes (F/B) ratio, promote Akkermansia, and inhibit pathogenic Escherichia coli. Moreover, FGJ displayed enhanced production of SCFAs, especially acetic and lactic acids, in contrast to GJ. Our findings suggest that the probiotic fermentation of gac fruit enhances its functional attributes in promoting a balanced gut microbiota. This beverage demonstrates potential as a functional food with potential advantages for sustaining intestinal health.
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Affiliation(s)
- Marisa Marnpae
- Center of Excellence in Phytochemical and Functional Food for Clinical Nutrition, Department of Nutrition and Dietetics, Faculty of Allied Health Sciences, Chulalongkorn University, Bangkok 10330, Thailand.
- The Halal Science Center, Chulalongkorn University, Bangkok 10330, Thailand
| | - Vernabelle Balmori
- Center of Excellence in Phytochemical and Functional Food for Clinical Nutrition, Department of Nutrition and Dietetics, Faculty of Allied Health Sciences, Chulalongkorn University, Bangkok 10330, Thailand.
- Department of Food Science and Technology, Southern Leyte State University, Southern Leyte 6606, Philippines
| | - Kritmongkhon Kamonsuwan
- Center of Excellence in Phytochemical and Functional Food for Clinical Nutrition, Department of Nutrition and Dietetics, Faculty of Allied Health Sciences, Chulalongkorn University, Bangkok 10330, Thailand.
| | - Uarna Nungarlee
- The Halal Science Center, Chulalongkorn University, Bangkok 10330, Thailand
| | - Suvimol Charoensiddhi
- Department of Food Science and Technology, Faculty of Agro-Industry, Kasetsart University, Bangkok 10900, Thailand
| | - Thavaree Thilavech
- Department of Food Chemistry, Faculty of Pharmacy, Mahidol University, Bangkok 10400, Thailand
| | - Tanyawan Suantawee
- Center of Excellence in Phytochemical and Functional Food for Clinical Nutrition, Department of Nutrition and Dietetics, Faculty of Allied Health Sciences, Chulalongkorn University, Bangkok 10330, Thailand.
| | - Pavaret Sivapornnukul
- Center of Excellence in Systems Microbiology, Department of Biochemistry, Faculty of Medicine, Chulalongkorn University, Bangkok, 10330, Thailand
| | - Prangwalai Chanchaem
- Center of Excellence in Systems Microbiology, Department of Biochemistry, Faculty of Medicine, Chulalongkorn University, Bangkok, 10330, Thailand
| | - Sunchai Payungporn
- Center of Excellence in Systems Microbiology, Department of Biochemistry, Faculty of Medicine, Chulalongkorn University, Bangkok, 10330, Thailand
| | - Winai Dahlan
- The Halal Science Center, Chulalongkorn University, Bangkok 10330, Thailand
| | - Nazimah Hamid
- Department of Food Science, Faculty of Health and Environment Sciences, Auckland University of Technology, Auckland 1010, New Zealand
| | - Thumnoon Nhujak
- Department of Chemistry, Faculty of Science, Chulalongkorn University, Bangkok 10330, Thailand
| | - Sirichai Adisakwattana
- Center of Excellence in Phytochemical and Functional Food for Clinical Nutrition, Department of Nutrition and Dietetics, Faculty of Allied Health Sciences, Chulalongkorn University, Bangkok 10330, Thailand.
- The Halal Science Center, Chulalongkorn University, Bangkok 10330, Thailand
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Tsuji JM, Shaw NA, Nagashima S, Venkiteswaran JJ, Schiff SL, Watanabe T, Fukui M, Hanada S, Tank M, Neufeld JD. Anoxygenic phototroph of the Chloroflexota uses a type I reaction centre. Nature 2024; 627:915-922. [PMID: 38480893 PMCID: PMC10972752 DOI: 10.1038/s41586-024-07180-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2023] [Accepted: 02/08/2024] [Indexed: 04/01/2024]
Abstract
Scientific exploration of phototrophic bacteria over nearly 200 years has revealed large phylogenetic gaps between known phototrophic groups that limit understanding of how phototrophy evolved and diversified1,2. Here, through Boreal Shield lake water incubations, we cultivated an anoxygenic phototrophic bacterium from a previously unknown order within the Chloroflexota phylum that represents a highly novel transition form in the evolution of photosynthesis. Unlike all other known phototrophs, this bacterium uses a type I reaction centre (RCI) for light energy conversion yet belongs to the same bacterial phylum as organisms that use a type II reaction centre (RCII) for phototrophy. Using physiological, phylogenomic and environmental metatranscriptomic data, we demonstrate active RCI-utilizing metabolism by the strain alongside usage of chlorosomes3 and bacteriochlorophylls4 related to those of RCII-utilizing Chloroflexota members. Despite using different reaction centres, our phylogenomic data provide strong evidence that RCI-utilizing and RCII-utilizing Chloroflexia members inherited phototrophy from a most recent common phototrophic ancestor. The Chloroflexota phylum preserves an evolutionary record of the use of contrasting phototrophic modes among genetically related bacteria, giving new context for exploring the diversification of phototrophy on Earth.
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Affiliation(s)
- J M Tsuji
- University of Waterloo, Waterloo, Ontario, Canada.
- Institute of Low Temperature Science, Hokkaido University, Sapporo, Japan.
- Japan Agency for Marine-Earth Science and Technology, Yokosuka, Japan.
| | - N A Shaw
- University of Waterloo, Waterloo, Ontario, Canada
| | - S Nagashima
- Tokyo Metropolitan University, Tokyo, Japan
- Kanagawa University, Yokohama, Japan
| | - J J Venkiteswaran
- University of Waterloo, Waterloo, Ontario, Canada
- Wilfrid Laurier University, Waterloo, Ontario, Canada
| | - S L Schiff
- University of Waterloo, Waterloo, Ontario, Canada
| | - T Watanabe
- Institute of Low Temperature Science, Hokkaido University, Sapporo, Japan
| | - M Fukui
- Institute of Low Temperature Science, Hokkaido University, Sapporo, Japan
| | - S Hanada
- Tokyo Metropolitan University, Tokyo, Japan
- Bioproduction Research Institute, National Institute of Advanced Industrial Science and Technology (AIST), Tsukuba, Japan
| | - M Tank
- Tokyo Metropolitan University, Tokyo, Japan
- Leibniz Institute DSMZ-German Collection of Microorganisms and Cell Cultures GmbH, Braunschweig, Germany
| | - J D Neufeld
- University of Waterloo, Waterloo, Ontario, Canada.
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Gęsicka A, Gutowska N, Palaniappan S, Oleskowicz-Popiel P, Łężyk M. Enrichment of mixed methanotrophic cultures producing polyhydroxyalkanoates (PHAs) from various environmental sources. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 912:168844. [PMID: 38029989 DOI: 10.1016/j.scitotenv.2023.168844] [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: 07/13/2023] [Revised: 10/31/2023] [Accepted: 11/22/2023] [Indexed: 12/01/2023]
Abstract
Methanotrophic bacteria can use atmospheric methane (CH4) as a sole carbon source for the growth and production of polyhydroxyalkanoates (PHA). The development of CH4 bioconversion processes relies heavily on the selection of an efficient methanotrophic culture. This research assessed the effect of selected growth conditions, such as nitrogen sources on the enrichment of methanotrophic cultures from various environments for PHA accumulation. Nitrate-based medium favoured the culture growth and selection for PHA-producing methanotrophic cultures with Methylocystis sp. as a major genus and accumulation of up to 27 % polyhydroxybutyrate (PHB) in the biomass. Three PHB-producing cultures: enriched from waste activated sludge (AS), peat bog soil (PB) and landfill biocover soil (LB) were then tested for their ability to produce PHA copolymer at different CH4:O2 ratios. All enriched cultures were able to utilise valeric acid as a cosubstrate for the accumulation of PHA with a 3-hydroxyvaleric (3HV) fraction of 21-41 mol% depending on the inoculum source and CH4 concentration. The process performance of selected cultures was evaluated and compared to the culture of reference strain Methylocystis hirsuta DSM 18500. All mixed cultures irrespective of their inoculum source had similar levels of 3HV fraction in the PHA (38 ± 2 mol%). The highest poly(3-hydroxybutyrate-co-3-hydroxyvalerate) (PHBV) production was observed for AS culture at 10 % CH4 with an accumulation of 27 ± 3 % of dry cell weight (DCW), 3HV fraction of 39 ± 2 mol% and yield of 0.42 ± 0.02 g-PHA/g-substrate.
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Affiliation(s)
- Aleksandra Gęsicka
- Water Supply and Bioeconomy Division, Faculty of Environmental Engineering and Energy, Poznan University of Technology, Berdychowo 4, 60-965 Poznan, Poland
| | - Natalia Gutowska
- Water Supply and Bioeconomy Division, Faculty of Environmental Engineering and Energy, Poznan University of Technology, Berdychowo 4, 60-965 Poznan, Poland
| | - Sivasankar Palaniappan
- Water Supply and Bioeconomy Division, Faculty of Environmental Engineering and Energy, Poznan University of Technology, Berdychowo 4, 60-965 Poznan, Poland
| | - Piotr Oleskowicz-Popiel
- Water Supply and Bioeconomy Division, Faculty of Environmental Engineering and Energy, Poznan University of Technology, Berdychowo 4, 60-965 Poznan, Poland
| | - Mateusz Łężyk
- Water Supply and Bioeconomy Division, Faculty of Environmental Engineering and Energy, Poznan University of Technology, Berdychowo 4, 60-965 Poznan, Poland.
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Sawaswong V, Chanchaem P, Klomkliew P, Rotcheewaphan S, Meesawat S, Kemthong T, Kaewparuehaschai M, Noradechanon K, Ekatat M, Kanitpun R, Srilohasin P, Warit S, Chaiprasert A, Malaivijitnond S, Payungporn S. Full-length 16S rDNA sequencing based on Oxford Nanopore Technologies revealed the association between gut-pharyngeal microbiota and tuberculosis in cynomolgus macaques. Sci Rep 2024; 14:3404. [PMID: 38337025 PMCID: PMC10858278 DOI: 10.1038/s41598-024-53880-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2023] [Accepted: 02/06/2024] [Indexed: 02/12/2024] Open
Abstract
Tuberculosis (TB) is an infectious disease caused by the Mycobacterium tuberculosis complex (Mtbc), which develops from asymptomatic latent TB to active stages. The microbiome was purposed as a potential factor affecting TB pathogenesis, but the study was limited. The present study explored the association between gut-pharyngeal microbiome and TB stages in cynomolgus macaques using the full-length 16S rDNA amplicon sequencing based on Oxford Nanopore Technologies. The total of 71 macaques was divided into TB (-) control, TB (+) latent and TB (+) active groups. The differential abundance analysis showed that Haemophilus hemolyticus was decreased, while Prevotella species were increased in the pharyngeal microbiome of TB (+) macaques. In addition, Eubacterium coprostanoligenes in the gut was enriched in TB (+) macaques. Alteration of these bacteria might affect immune regulation and TB severity, but details of mechanisms should be further explored and validated. In summary, microbiota may be associated with host immune regulation and affect TB progression. The findings suggested the potential mechanisms of host-microbes interaction, which may improve the understanding of the role of microbiota and help develop therapeutics for TB in the future.
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Affiliation(s)
- Vorthon Sawaswong
- Department of Biochemistry, Center of Excellence in Systems Microbiology, Faculty of Medicine, Chulalongkorn University, 1873 Rama IV Road, Patumwan, Bangkok, 10330, Thailand
- Department of Biochemistry, Faculty of Science, Mahidol University, Bangkok, 10400, Thailand
| | - Prangwalai Chanchaem
- Department of Biochemistry, Center of Excellence in Systems Microbiology, Faculty of Medicine, Chulalongkorn University, 1873 Rama IV Road, Patumwan, Bangkok, 10330, Thailand
| | - Pavit Klomkliew
- Department of Biochemistry, Center of Excellence in Systems Microbiology, Faculty of Medicine, Chulalongkorn University, 1873 Rama IV Road, Patumwan, Bangkok, 10330, Thailand
| | - Suwatchareeporn Rotcheewaphan
- Department of Biochemistry, Center of Excellence in Systems Microbiology, Faculty of Medicine, Chulalongkorn University, 1873 Rama IV Road, Patumwan, Bangkok, 10330, Thailand
- Department of Microbiology, Faculty of Medicine, Chulalongkorn University, Bangkok, 10330, Thailand
| | - Suthirote Meesawat
- National Primate Research Center of Thailand, Chulalongkorn University, Saraburi, 18110, Thailand
- Department of Biology, Faculty of Science, Chulalongkorn University, Bangkok, 10330, Thailand
| | - Taratorn Kemthong
- National Primate Research Center of Thailand, Chulalongkorn University, Saraburi, 18110, Thailand
- Department of Biology, Faculty of Science, Chulalongkorn University, Bangkok, 10330, Thailand
| | - Mutchamon Kaewparuehaschai
- Wildlife Conservation Office, Department of National Parks Wildlife and Plant Conservation, Bangkok, 10900, Thailand
| | - Kirana Noradechanon
- Wildlife Conservation Office, Department of National Parks Wildlife and Plant Conservation, Bangkok, 10900, Thailand
| | - Monya Ekatat
- National Institute of Animal Health (NIAH), Bangkok, 10900, Thailand
| | - Reka Kanitpun
- National Institute of Animal Health (NIAH), Bangkok, 10900, Thailand
| | - Prapaporn Srilohasin
- Office for Research, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, 10700, Thailand
- Department of Microbiology, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, 10700, Thailand
| | - Saradee Warit
- Industrial Tuberculosis Team, Industrial Medical Molecular Biotechnology Research Group, National Center for Genetic Engineering and Biotechnology, National Science and Technology Development Agency, Pathum Thani, 12120, Thailand
| | - Angkana Chaiprasert
- Office for Research, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, 10700, Thailand
| | - Suchinda Malaivijitnond
- National Primate Research Center of Thailand, Chulalongkorn University, Saraburi, 18110, Thailand
- Department of Biology, Faculty of Science, Chulalongkorn University, Bangkok, 10330, Thailand
| | - Sunchai Payungporn
- Department of Biochemistry, Center of Excellence in Systems Microbiology, Faculty of Medicine, Chulalongkorn University, 1873 Rama IV Road, Patumwan, Bangkok, 10330, Thailand.
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10
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Huggins LG, Colella V, Young ND, Traub RJ. Metabarcoding using nanopore long-read sequencing for the unbiased characterization of apicomplexan haemoparasites. Mol Ecol Resour 2024; 24:e13878. [PMID: 37837372 DOI: 10.1111/1755-0998.13878] [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: 05/04/2023] [Revised: 08/07/2023] [Accepted: 09/28/2023] [Indexed: 10/16/2023]
Abstract
Apicomplexan haemoparasites generate significant morbidity and mortality in humans and other animals, particularly in many low-to-middle income countries. Malaria caused by Plasmodium remains responsible for some of the highest numbers of annual deaths of any human pathogen, whilst piroplasmids, such as Babesia and Theileria can have immense negative economic effects through livestock loss. Diagnosing haemoparasites via traditional methods like microscopy is challenging due to low-level and transient parasitaemia. PCR-based diagnostics overcome these limitations by being both highly sensitive and specific, but they may be unable to accurately detect coinfections or identify novel species. In contrast, next-generation sequencing (NGS)-based methods can characterize all pathogens from a group of interest concurrently, although, the short-read platforms previously used have been limited in the taxonomic resolution achievable. Here, we used Oxford Nanopore Technologies' (ONT) long-read MinION™ sequencer to conduct apicomplexan haemoparasite metabarcoding via sequencing the near full-length 18S ribosomal RNA gene, demonstrating its ability to detect Babesia, Hepatozoon, Neospora, Plasmodium, Theileria and Toxoplasma species. This method was tested on blood-extracted DNA from 100 dogs and the results benchmarked against qPCR and Illumina-based metabarcoding. For two common haemoparasites, nanopore sequencing performed as well as qPCR (kappa agreement statistics > 0.98), whilst also detecting one pathogen, Hepatozoon felis, missed by the other techniques. The long-reads obtained by nanopore sequencing provide an improved species-level taxonomic resolution whilst the method's broad applicability mean it can be used to explore apicomplexan communities from diverse mammalian hosts, on a portable sequencer that easily permits adaptation to field use.
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Affiliation(s)
- Lucas G Huggins
- Melbourne Veterinary School, Faculty of Science, University of Melbourne, Parkville, Victoria, Australia
| | - Vito Colella
- Melbourne Veterinary School, Faculty of Science, University of Melbourne, Parkville, Victoria, Australia
| | - Neil D Young
- Melbourne Veterinary School, Faculty of Science, University of Melbourne, Parkville, Victoria, Australia
| | - Rebecca J Traub
- Melbourne Veterinary School, Faculty of Science, University of Melbourne, Parkville, Victoria, Australia
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11
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Huggins LG, Atapattu U, Young ND, Traub RJ, Colella V. Development and validation of a long-read metabarcoding platform for the detection of filarial worm pathogens of animals and humans. BMC Microbiol 2024; 24:28. [PMID: 38245715 PMCID: PMC10799534 DOI: 10.1186/s12866-023-03159-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/30/2023] [Accepted: 12/14/2023] [Indexed: 01/22/2024] Open
Abstract
BACKGROUND Filarial worms are important vector-borne pathogens of a large range of animal hosts, including humans, and are responsible for numerous debilitating neglected tropical diseases such as, lymphatic filariasis caused by Wuchereria bancrofti and Brugia spp., as well as loiasis caused by Loa loa. Moreover, some emerging or difficult-to-eliminate filarioid pathogens are zoonotic using animals like canines as reservoir hosts, for example Dirofilaria sp. 'hongkongensis'. Diagnosis of filariasis through commonly available methods, like microscopy, can be challenging as microfilaremia may wane below the limit of detection. In contrast, conventional PCR methods are more sensitive and specific but may show limited ability to detect coinfections as well as emerging and/or novel pathogens. Use of deep-sequencing technologies obviate these challenges, providing sensitive detection of entire parasite communities, whilst also being better suited for the characterisation of rare or novel pathogens. Therefore, we developed a novel long-read metabarcoding assay for deep-sequencing the filarial nematode cytochrome c oxidase subunit I gene on Oxford Nanopore Technologies' (ONT) MinION™ sequencer. We assessed the overall performance of our assay using kappa statistics to compare it to commonly used diagnostic methods for filarial worm detection, such as conventional PCR (cPCR) with Sanger sequencing and the microscopy-based modified Knott's test (MKT). RESULTS We confirmed our metabarcoding assay can characterise filarial parasites from a diverse range of genera, including, Breinlia, Brugia, Cercopithifilaria, Dipetalonema, Dirofilaria, Onchocerca, Setaria, Stephanofilaria and Wuchereria. We demonstrated proof-of-concept for this assay by using blood samples from Sri Lankan dogs, whereby we identified infections with the filarioids Acanthocheilonema reconditum, Brugia sp. Sri Lanka genotype and zoonotic Dirofilaria sp. 'hongkongensis'. When compared to traditionally used diagnostics, such as the MKT and cPCR with Sanger sequencing, we identified an additional filarioid species and over 15% more mono- and coinfections. CONCLUSIONS Our developed metabarcoding assay may show broad applicability for the metabarcoding and diagnosis of the full spectrum of filarioids from a wide range of animal hosts, including mammals and vectors, whilst the utilisation of ONT' small and portable MinION™ means that such methods could be deployed for field use.
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Affiliation(s)
- Lucas G Huggins
- Melbourne Veterinary School, Faculty of Science, University of Melbourne, Parkville, VIC, 3050, Australia.
| | - Ushani Atapattu
- Melbourne Veterinary School, Faculty of Science, University of Melbourne, Parkville, VIC, 3050, Australia
| | - Neil D Young
- Melbourne Veterinary School, Faculty of Science, University of Melbourne, Parkville, VIC, 3050, Australia
| | - Rebecca J Traub
- Melbourne Veterinary School, Faculty of Science, University of Melbourne, Parkville, VIC, 3050, Australia
| | - Vito Colella
- Melbourne Veterinary School, Faculty of Science, University of Melbourne, Parkville, VIC, 3050, Australia
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12
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Lao HY, Wong LLY, Hui Y, Ng TTL, Chan CTM, Lo HWH, Yau MCY, Leung ECM, Wong RCW, Ho AYM, Yip KT, Lam JYW, Chow VCY, Luk KS, Que TL, Chow FWN, Siu GKH. The clinical utility of Nanopore 16S rRNA gene sequencing for direct bacterial identification in normally sterile body fluids. Front Microbiol 2024; 14:1324494. [PMID: 38264489 PMCID: PMC10803466 DOI: 10.3389/fmicb.2023.1324494] [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: 10/19/2023] [Accepted: 12/19/2023] [Indexed: 01/25/2024] Open
Abstract
The prolonged incubation period of traditional culture methods leads to a delay in diagnosing invasive infections. Nanopore 16S rRNA gene sequencing (Nanopore 16S) offers a potential rapid diagnostic approach for directly identifying bacteria in infected body fluids. To evaluate the clinical utility of Nanopore 16S, we conducted a study involving the collection and sequencing of 128 monomicrobial samples, 65 polymicrobial samples, and 20 culture-negative body fluids. To minimize classification bias, taxonomic classification was performed using 3 analysis pipelines: Epi2me, Emu, and NanoCLUST. The result was compared to the culture references. The limit of detection of Nanopore 16S was also determined using simulated bacteremic blood samples. Among the three classifiers, Emu demonstrated the highest concordance with the culture results. It correctly identified the taxon of 125 (97.7%) of the 128 monomicrobial samples, compared to 109 (85.2%) for Epi2me and 102 (79.7%) for NanoCLUST. For the 230 cultured species in the 65 polymicrobial samples, Emu correctly identified 188 (81.7%) cultured species, compared to 174 (75.7%) for Epi2me and 125 (54.3%) for NanoCLUST. Through ROC analysis on the monomicrobial samples, we determined a threshold of relative abundance at 0.058 for distinguishing potential pathogens from background in Nanopore 16S. Applying this threshold resulted in the identification of 107 (83.6%), 117 (91.4%), and 114 (91.2%) correctly detected samples for Epi2me, Emu, and NanoCLUST, respectively, in the monomicrobial samples. Nanopore 16S coupled with Epi2me could provide preliminary results within 6 h. However, the ROC analysis of polymicrobial samples exhibited a random-like performance, making it difficult to establish a threshold. The overall limit of detection for Nanopore 16S was found to be about 90 CFU/ml.
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Affiliation(s)
- Hiu-Yin Lao
- Department of Health Technology and Informatics, The Hong Kong Polytechnic University, Kowloon, Hong Kong SAR, China
| | - Lily Lok-Yee Wong
- Department of Health Technology and Informatics, The Hong Kong Polytechnic University, Kowloon, Hong Kong SAR, China
| | - Yan Hui
- Department of Health Technology and Informatics, The Hong Kong Polytechnic University, Kowloon, Hong Kong SAR, China
| | - Timothy Ting-Leung Ng
- Department of Health Technology and Informatics, The Hong Kong Polytechnic University, Kowloon, Hong Kong SAR, China
| | - Chloe Toi-Mei Chan
- Department of Health Technology and Informatics, The Hong Kong Polytechnic University, Kowloon, Hong Kong SAR, China
| | - Hazel Wing-Hei Lo
- Department of Health Technology and Informatics, The Hong Kong Polytechnic University, Kowloon, Hong Kong SAR, China
| | - Miranda Chong-Yee Yau
- Department of Clinical Pathology, Pamela Youde Nethersole Eastern Hospital, Chai Wan, Hong Kong SAR, China
| | - Eddie Chi-Man Leung
- Department of Clinical Pathology, Pamela Youde Nethersole Eastern Hospital, Chai Wan, Hong Kong SAR, China
| | - River Chun-Wai Wong
- Department of Microbiology, Prince of Wales Hospital, Shatin, Hong Kong SAR, China
| | - Alex Yat-Man Ho
- Department of Pathology, Princess Margaret Hospital, Kowloon, Hong Kong SAR, China
| | - Kam-Tong Yip
- Department of Clinical Pathology, Tuen Mun Hospital, Tuen Mun, Hong Kong SAR, China
| | - Jimmy Yiu-Wing Lam
- Department of Clinical Pathology, Pamela Youde Nethersole Eastern Hospital, Chai Wan, Hong Kong SAR, China
| | - Viola Chi-Ying Chow
- Department of Microbiology, Prince of Wales Hospital, Shatin, Hong Kong SAR, China
| | - Kristine Shik Luk
- Department of Pathology, Princess Margaret Hospital, Kowloon, Hong Kong SAR, China
| | - Tak-Lun Que
- Department of Clinical Pathology, Tuen Mun Hospital, Tuen Mun, Hong Kong SAR, China
| | - Franklin Wang Ngai Chow
- Department of Health Technology and Informatics, The Hong Kong Polytechnic University, Kowloon, Hong Kong SAR, China
| | - Gilman Kit-Hang Siu
- Department of Health Technology and Informatics, The Hong Kong Polytechnic University, Kowloon, Hong Kong SAR, China
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13
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Maes M, Vasupanrajit A, Jirakran K, Klomkliew P, Chanchaem P, Tunvirachaisakul C, Plaimas K, Suratanee A, Payungporn S. Adverse childhood experiences and reoccurrence of illness impact the gut microbiome, which affects suicidal behaviours and the phenome of major depression: towards enterotypic phenotypes. Acta Neuropsychiatr 2023; 35:328-345. [PMID: 37052305 DOI: 10.1017/neu.2023.21] [Citation(s) in RCA: 10] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 04/14/2023]
Abstract
The first publication demonstrating that major depressive disorder (MDD) is associated with alterations in the gut microbiota appeared in 2008 (Maes et al., 2008). The purpose of the present study is to delineate a) the microbiome signature of the phenome of depression, including suicidal behaviours (SB) and cognitive deficits; the effects of adverse childhood experiences (ACEs) and recurrence of illness index (ROI) on the microbiome; and the microbiome signature of lowered high-density lipoprotein cholesterol (HDLc). We determined isometric log-ratio abundances or prevalences of gut microbiome phyla, genera, and species by analysing stool samples from 37 healthy Thai controls and 32 MDD patients using 16S rDNA sequencing. Six microbiome taxa accounted for 36% of the variance in the depression phenome, namely Hungatella and Fusicatenibacter (positive associations) and Butyricicoccus, Clostridium, Parabacteroides merdae, and Desulfovibrio piger (inverse association). This profile (labelled enterotype 1) indicates compositional dysbiosis, is strongly predicted by ACE and ROI, and is linked to SB. A second enterotype was developed that predicted a decrease in HDLc and an increase in the atherogenic index of plasma (Bifidobacterium, P. merdae, and Romboutsia were positively associated, while Proteobacteria and Clostridium sensu stricto were negatively associated). Together, enterotypes 1 and 2 explained 40.4% of the variance in the depression phenome, and enterotype 1 in conjunction with HDLc explained 39.9% of the variance in current SB. In conclusion, the microimmuneoxysome is a potential new drug target for the treatment of severe depression and SB and possibly for the prevention of future episodes.
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Affiliation(s)
- Michael Maes
- Department of Psychiatry, Faculty of Medicine, Chulalongkorn University and King Chulalongkorn Memorial Hospital, The Thai Red Cross Society, Bangkok, Thailand
- Kyung Hee University, 26 Kyungheedae-ro, Dongdaemun-gu, Seoul02447, Korea
- Department of Psychiatry, Medical University of Plovdiv, Plovdiv, Bulgaria
- IMPACT Strategic Research Center, Barwon Health, Geelong, Australia
| | - Asara Vasupanrajit
- Department of Psychiatry, Faculty of Medicine, Chulalongkorn University and King Chulalongkorn Memorial Hospital, The Thai Red Cross Society, Bangkok, Thailand
| | - Ketsupar Jirakran
- Department of Psychiatry, Faculty of Medicine, Chulalongkorn University and King Chulalongkorn Memorial Hospital, The Thai Red Cross Society, Bangkok, Thailand
- Maximizing Thai Children's Developmental Potential Research Unit, Department of Pediatrics, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand
| | - Pavit Klomkliew
- Center of Excellence in Systems Microbiology, Department of Biochemistry, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand
| | - Prangwalai Chanchaem
- Center of Excellence in Systems Microbiology, Department of Biochemistry, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand
| | - Chavit Tunvirachaisakul
- Department of Psychiatry, Faculty of Medicine, Chulalongkorn University and King Chulalongkorn Memorial Hospital, The Thai Red Cross Society, Bangkok, Thailand
| | - Kitiporn Plaimas
- Advanced Virtual and Intelligent Computing (AVIC) Center, Department of Mathematics and Computer Science, Faculty of Science, Chulalongkorn University, Bangkok10330, Thailand
| | - Apichat Suratanee
- Department of Mathematics, Faculty of Applied Science, King Mongkut's University of Technology North Bangkok, Bangkok10800, Thailand
| | - Sunchai Payungporn
- Center of Excellence in Systems Microbiology, Department of Biochemistry, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand
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Zhang T, Li H, Ma S, Cao J, Liao H, Huang Q, Chen W. The newest Oxford Nanopore R10.4.1 full-length 16S rRNA sequencing enables the accurate resolution of species-level microbial community profiling. Appl Environ Microbiol 2023; 89:e0060523. [PMID: 37800969 PMCID: PMC10617388 DOI: 10.1128/aem.00605-23] [Citation(s) in RCA: 18] [Impact Index Per Article: 18.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/11/2023] [Accepted: 08/04/2023] [Indexed: 10/07/2023] Open
Abstract
The long-read amplicon provides a species-level solution for the community. With the improvement of nanopore flowcells, the accuracy of Oxford Nanopore Technologies (ONT) R10.4.1 has been substantially enhanced, with an average of approximately 99%. To evaluate its effectiveness on amplicons, three types of microbiomes were analyzed by 16S ribosomal RNA (hereinafter referred to as "16S") amplicon sequencing using Novaseq, Pacbio sequel II, and Nanopore PromethION platforms (R9.4.1 and R10.4.1) in the current study. We showed the error rate, recall, precision, and bias index in the mock sample. The error rate of ONT R10.4.1 was greatly reduced, with a better recall in the case of the synthetic community. Meanwhile, in different types of environmental samples, ONT R10.4.1 analysis resulted in a composition similar to Pacbio data. We found that classification tools and databases influence ONT data. Based on these results, we conclude that the ONT R10.4.1 16S amplicon can also be used for application in environmental samples. IMPORTANCE The long-read amplicon supplies the community with a species-level solution. Due to the high error rate of nanopore sequencing early on, it has not been frequently used in 16S studies. Oxford Nanopore Technologies (ONT) introduced the R10.4.1 flowcell with Q20+ reagent to achieve more than 99% accuracy as sequencing technology advanced. However, there has been no published study on the performance of commercial PromethION sequencers with R10.4.1 flowcells on 16S sequencing or on the impact of accuracy improvement on taxonomy (R9.4.1 to R10.4.1) using 16S ONT data. In this study, three types of microbiomes were investigated by 16S ribosomal RNA (rRNA) amplicon sequencing using Novaseq, Pacbio sequel II, and Nanopore PromethION platforms (R9.4.1 and R10.4.1). In the mock sample, we displayed the error rate, recall, precision, and bias index. We observed that the error rate in ONT R10.4.1 is significantly lower, especially when deletions are involved. First and foremost, R10.4.1 and Pacific Bioscience platforms reveal a similar microbiome in environmental samples. This study shows that the R10.4.1 full-length 16S rRNA sequences allow for species identification of environmental microbiota.
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Affiliation(s)
- Tianyuan Zhang
- National Key Laboratory of Agricultural Microbiology, Huazhong Agricultural University, Wuhan, China
- College of Life Science and Technology, Huazhong Agricultural University, Wuhan, China
- Wuhan Benagen Technology Co., Ltd., Wuhan, China
| | - Hanzhou Li
- Wuhan Benagen Technology Co., Ltd., Wuhan, China
| | - Silin Ma
- National Key Laboratory of Agricultural Microbiology, Huazhong Agricultural University, Wuhan, China
| | - Jian Cao
- Wuhan Benagen Technology Co., Ltd., Wuhan, China
| | - Hao Liao
- National Key Laboratory of Agricultural Microbiology, Huazhong Agricultural University, Wuhan, China
| | - Qiaoyun Huang
- National Key Laboratory of Agricultural Microbiology, Huazhong Agricultural University, Wuhan, China
- Hubei Key Laboratory of Soil Environment and Pollution Remediation, Huazhong Agricultural University, Wuhan, China
| | - Wenli Chen
- National Key Laboratory of Agricultural Microbiology, Huazhong Agricultural University, Wuhan, China
- College of Life Science and Technology, Huazhong Agricultural University, Wuhan, China
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15
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Klinsawat W, Uthaipaisanwong P, Jenjaroenpun P, Sripiboon S, Wongsurawat T, Kusonmano K. Microbiome variations among age classes and diets of captive Asian elephants (Elephas maximus) in Thailand using full-length 16S rRNA nanopore sequencing. Sci Rep 2023; 13:17685. [PMID: 37848699 PMCID: PMC10582034 DOI: 10.1038/s41598-023-44981-z] [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: 06/16/2023] [Accepted: 10/14/2023] [Indexed: 10/19/2023] Open
Abstract
Asian elephant (Elephas maximus) is the national symbol of Thailand and linked to Thai history and culture for centuries. The elephant welfare improvement is one of the major components to achieve sustainable captive management. Microbiome inhabiting digestive tracts have been shown with symbiotic relations to host health. This work provided high-resolution microbiome profiles of 32 captive elephants at a species level by utilizing full-length 16S rRNA gene nanopore sequencing. Eleven common uncultured bacterial species were found across elephants fed with solid food including uncultured bacterium Rikenellaceae RC9 gut group, Kiritimatiellae WCHB1-41, Phascolarctobacterium, Oscillospiraceae NK4A214 group, Christensenellaceae R-7 group, Oribacterium, Oscillospirales UCG-010, Lachnospiraceae, Bacteroidales F082, uncultured rumen Rikenellaceae RC9 gut group, and Lachnospiraceae AC2044 group. We observed microbiome shifts along the age classes of baby (0-2 years), juvenile (2-10 years), and adult (> 10 years). Interestingly, we found distinct microbiome profiles among adult elephants fed with a local palm, Caryota urens, as a supplement. Potential beneficial microbes have been revealed according to the age classes and feed diets. The retrieved microbiome data could be provided as good baseline microbial profiles for monitoring elephant health, suggesting further studies towards dietary selection suitable for each age class and the use of local supplementary diets.
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Affiliation(s)
- Worata Klinsawat
- Conservation Ecology Program, School of Bioresources and Technology, King Mongkut's University of Technology Thonburi, Bangkok, Thailand
| | - Pichahpuk Uthaipaisanwong
- Systems Biology and Bioinformatics Research Group, Pilot Plant Development and Training Institute, King Mongkut's University of Technology Thonburi, Bangkok, Thailand
| | - Piroon Jenjaroenpun
- Division of Medical Bioinformatics, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand
| | - Supaphen Sripiboon
- Department of Large Animal and Wildlife Clinical Science, Faculty of Veterinary Medicine, Kasetsart University, Kamphaeng Saen Campus, Nakhon Pathom, Thailand
| | - Thidathip Wongsurawat
- Division of Medical Bioinformatics, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand.
| | - Kanthida Kusonmano
- Systems Biology and Bioinformatics Research Group, Pilot Plant Development and Training Institute, King Mongkut's University of Technology Thonburi, Bangkok, Thailand.
- Bioinformatics and Systems Biology Program, Schools of Bioresources and Technology, King Mongkut's University of Technology Thonburi, Bangkok, Thailand.
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16
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Waiho K, Abd Razak MS, Abdul Rahman MZ, Zaid Z, Ikhwanuddin M, Fazhan H, Shu-Chien AC, Lau NS, Azmie G, Ishak AN, Syahnon M, Kasan NA. A metagenomic comparison of clearwater, probiotic, and Rapid BFT TM on Pacific whiteleg shrimp, Litopenaeus vannamei cultures. PeerJ 2023; 11:e15758. [PMID: 37790619 PMCID: PMC10542392 DOI: 10.7717/peerj.15758] [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: 03/23/2023] [Accepted: 06/26/2023] [Indexed: 10/05/2023] Open
Abstract
Biofloc technology improves water quality and promote the growth of beneficial bacteria community in shrimp culture. However, little is known about the bacteria community structure in both water and gut of cultured organisms. To address this, the current study characterised the metagenomes derived from water and shrimp intestine samples of novel Rapid BFTTM with probiotic and clearwater treatments using 16S V4 region and full length 16S sequencing. Bacteria diversity of water and intestine samples of Rapid BFTTM and probiotic treatments were similar. Based on the 16S V4 region, water samples of >20 μm biofloc had the highest abundance of amplicon sequence variant (ASV). However, based on full length 16S, no clear distinction in microbial diversity was observed between water samples and intestine samples. Proteobacteria was the most abundant taxon in all samples based on both 16S V4 and full length 16S sequences. Vibrio was among the highest genus based on 16S V4 region but only full length 16S was able to discern up to species level, with three Vibrios identified-V. harveyi, V. parahaemolyticus and V. vulnificus. Vibrio harveyi being the most abundant species in all treatments. Among water samples, biofloc water samples had the lowest abundance of all three Vibrios, with V. vulnificus was present only in bioflocs of <20 μm. Predicted functional profiles of treatments support the beneficial impacts of probiotic and biofloc inclusion into shrimp culture system. This study highlights the potential displacement of opportunistic pathogens by the usage of biofloc technology (Rapid BFTTM) in shrimp culture.
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Affiliation(s)
- Khor Waiho
- Higher Institution Centre of Excellence (HICoE), Institute of Tropical Aquaculture and Fisheries, Universiti Malaysia Terengganu, Kuala Nerus, Malaysia
- Centre for Chemical Biology, Universiti Sains Malaysia, Minden, Penang, Malaysia
- STU-UMT Joint Shellfish Research Laboratory, Shantou University, Shantou, Guangdong, China
| | - Muhammad Syafiq Abd Razak
- Higher Institution Centre of Excellence (HICoE), Institute of Tropical Aquaculture and Fisheries, Universiti Malaysia Terengganu, Kuala Nerus, Malaysia
- Zaiyadal Aquaculture Sdn. Bhd., Shah Alam, Selangor, Malaysia
| | | | - Zainah Zaid
- Zaiyadal Aquaculture Sdn. Bhd., Shah Alam, Selangor, Malaysia
| | - Mhd Ikhwanuddin
- Higher Institution Centre of Excellence (HICoE), Institute of Tropical Aquaculture and Fisheries, Universiti Malaysia Terengganu, Kuala Nerus, Malaysia
- STU-UMT Joint Shellfish Research Laboratory, Shantou University, Shantou, Guangdong, China
- Faculty of Fisheries and Marine, Universitas Airlangga, Surabaya, Indonesia
| | - Hanafiah Fazhan
- Higher Institution Centre of Excellence (HICoE), Institute of Tropical Aquaculture and Fisheries, Universiti Malaysia Terengganu, Kuala Nerus, Malaysia
- Centre for Chemical Biology, Universiti Sains Malaysia, Minden, Penang, Malaysia
- STU-UMT Joint Shellfish Research Laboratory, Shantou University, Shantou, Guangdong, China
| | - Alexander Chong Shu-Chien
- Centre for Chemical Biology, Universiti Sains Malaysia, Minden, Penang, Malaysia
- School of Biological Sciences, Universiti Sains Malaysia, Minden, Penang, Malaysia
| | - Nyok-Sean Lau
- Centre for Chemical Biology, Universiti Sains Malaysia, Minden, Penang, Malaysia
| | - Ghazali Azmie
- Higher Institution Centre of Excellence (HICoE), Institute of Tropical Aquaculture and Fisheries, Universiti Malaysia Terengganu, Kuala Nerus, Malaysia
| | - Ahmad Najmi Ishak
- Higher Institution Centre of Excellence (HICoE), Institute of Tropical Aquaculture and Fisheries, Universiti Malaysia Terengganu, Kuala Nerus, Malaysia
| | - Mohammad Syahnon
- Higher Institution Centre of Excellence (HICoE), Institute of Tropical Aquaculture and Fisheries, Universiti Malaysia Terengganu, Kuala Nerus, Malaysia
- Centre of Research and Field Service (CRaFS), Universiti Malaysia Terengganu, Kuala Nerus, Terengganu, Malaysia
| | - Nor Azman Kasan
- Higher Institution Centre of Excellence (HICoE), Institute of Tropical Aquaculture and Fisheries, Universiti Malaysia Terengganu, Kuala Nerus, Malaysia
- STU-UMT Joint Shellfish Research Laboratory, Shantou University, Shantou, Guangdong, China
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Huda N, Ullah S, Wahab RA, Lani MN, Daud NHA, Shariff AHM, Ismail NI, Hamid AAA, Mohamad MAN, Huyop F. The first ITS2 sequence data set of eDNA from honey of Malaysian giant honeybees (Apis dorsata) and stingless bees (Heterotrigona itama) reveals plant species diversity. BMC Res Notes 2023; 16:211. [PMID: 37700361 PMCID: PMC10498584 DOI: 10.1186/s13104-023-06495-9] [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: 05/21/2023] [Accepted: 09/03/2023] [Indexed: 09/14/2023] Open
Abstract
OBJECTIVES Pollen is a useful tool for identifying the provenance and complex ecosystems surrounding honey production in Malaysian forests. As native key pollinators in Malaysia, Apis dorsata and Heterotrigona itama forage on various plant/pollen species to collect honey. This study aims to generate a dataset that uncovers the presence of these plant/pollen species and their relative abundance in the honey of A. dorsata and H. itama. The information gathered from this study can be used to determine the geographical and botanical origin and authenticity of the honey produced by these two species. RESULTS Sequence data were obtained for both A. dorsata and H. itama. The raw sequence data for A. dorsata was 5 Mb, which was assembled into 5 contigs with a size of 6,098,728 bp, an N50 of 15,534, and a GC average of 57.42. Similarly, the raw sequence data for H. itama was 6.3 Mb, which was assembled into 11 contigs with a size of 7,642,048 bp, an N50 of 17,180, and a GC average of 55.38. In the honey sample of A. dorsata, we identified five different plant/pollen species, with only one of the five species exhibiting a relative abundance of less than 1%. For H. itama, we identified seven different plant/pollen species, with only three of the species exhibiting a relative abundance of less than 1%. All of the identified plant species were native to Peninsular Malaysia, especially the East Coast area of Terengganu. DATA DESCRIPTION Our data offers valuable insights into honey's geographical and botanical origin and authenticity. Metagenomic studies could help identify the plant species that honeybees forage and provide preliminary data for researchers studying the biological development of A. dorsata and H. itama. The identification of various flowers from the eDNA of honey that are known for their medicinal properties could aid in regional honey with accurate product origin labeling, which is crucial for guaranteeing product authenticity to consumers.
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Affiliation(s)
- Nurul Huda
- Faculty of Sustainable Agriculture, Universiti Malaysia Sabah, Sandakan, Sabah, 90509, Malaysia.
| | - Saeed Ullah
- Department of Biosciences, Faculty of Science, Universiti Teknologi Malaysia, Johor Bahru, 81310 UTM, Malaysia.
| | - Roswanira Abdul Wahab
- Department of Chemistry, Faculty of Science, Universiti Teknologi Malaysia, Johor Bahru, 81310 UTM, Malaysia
| | - Mohd Nizam Lani
- Faculty of Fisheries and Food Science, Universiti Malaysia Terengganu, Kuala Nerus, Terengganu, 21030, Malaysia
| | - Nur Hardy Abu Daud
- Faculty of Sustainable Agriculture, Universiti Malaysia Sabah, Sandakan, Sabah, 90509, Malaysia
| | | | - Norjihada Izzah Ismail
- Department of Biomedical Engineering and Health Sciences, Faculty of Electrical Engineering, Universiti Teknologi Malaysia, UTM Johor Bahru, Johor, 81310, Malaysia
| | - Azzmer Azzar Abdul Hamid
- Department of Biotechnology, Kulliyah of Science, International Islamic University Malaysia, Bandar Indera Mahkota, Kuantan, Pahang, 25200, Malaysia
| | - Mohd Azrul Naim Mohamad
- Department of Biotechnology, Kulliyah of Science, International Islamic University Malaysia, Bandar Indera Mahkota, Kuantan, Pahang, 25200, Malaysia
| | - Fahrul Huyop
- Department of Biosciences, Faculty of Science, Universiti Teknologi Malaysia, Johor Bahru, 81310 UTM, Malaysia
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18
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Muhammad R, Klomkliew P, Chanchaem P, Sawaswong V, Kaikaew T, Payungporn S, Malaivijitnond S. Comparative analysis of gut microbiota between common (Macaca fascicularis fascicularis) and Burmese (M. f. aurea) long-tailed macaques in different habitats. Sci Rep 2023; 13:14950. [PMID: 37696929 PMCID: PMC10495367 DOI: 10.1038/s41598-023-42220-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2023] [Accepted: 09/06/2023] [Indexed: 09/13/2023] Open
Abstract
The environment has an important effect on the gut microbiota-an essential part of the host's health-and is strongly influenced by the dietary pattern of the host as these together shape the composition and functionality of the gut microbiota in humans and other animals. This study compared the gut microbiota of Macaca fascicularis fascicularis and M. f. aurea in mangrove and island populations using 16S rRNA gene sequencing on a nanopore platform to investigate the effect of the environment and/or diet. The results revealed that the M. f. fascicularis populations that received anthropogenic food exhibited a higher richness and evenness of gut microbiota than the M. f. aurea populations in different habitats. Firmicutes and Bacteroidetes were the two most abundant bacterial phyla in the gut microbiota of both these subspecies; however, the relative abundance of these phyla was significantly higher in M. f. aurea than in M. f. fascicularis. This variation in the gut microbiota between the two subspecies in different habitats mostly resulted from the differences in their diets. Moreover, the specific adaptation of M. f. aurea to different environments with a different food availability had a significant effect on their microbial composition.
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Affiliation(s)
- Raza Muhammad
- Department of Biology, Faculty of Science, Chulalongkorn University, Bangkok, 10330, Thailand
| | - Pavit Klomkliew
- Center of Excellence in Systems Microbiology, Faculty of Medicine, Chulalongkorn University, Bangkok, 10330, Thailand
| | - Prangwalai Chanchaem
- Center of Excellence in Systems Microbiology, Faculty of Medicine, Chulalongkorn University, Bangkok, 10330, Thailand
| | - Vorthon Sawaswong
- Center of Excellence in Systems Microbiology, Faculty of Medicine, Chulalongkorn University, Bangkok, 10330, Thailand
| | - Titiporn Kaikaew
- Department of Biology, Faculty of Science, Chulalongkorn University, Bangkok, 10330, Thailand
| | - Sunchai Payungporn
- Center of Excellence in Systems Microbiology, Faculty of Medicine, Chulalongkorn University, Bangkok, 10330, Thailand.
- Department of Biochemistry, Faculty of Medicine, Chulalongkorn University, Bangkok, 10330, Thailand.
| | - Suchinda Malaivijitnond
- Department of Biology, Faculty of Science, Chulalongkorn University, Bangkok, 10330, Thailand.
- National Primate Research Center of Thailand, Chulalongkorn University, Saraburi, 18110, Thailand.
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19
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Langsiri N, Worasilchai N, Irinyi L, Jenjaroenpun P, Wongsurawat T, Luangsa-Ard JJ, Meyer W, Chindamporn A. Targeted sequencing analysis pipeline for species identification of human pathogenic fungi using long-read nanopore sequencing. IMA Fungus 2023; 14:18. [PMID: 37674240 PMCID: PMC10483712 DOI: 10.1186/s43008-023-00125-6] [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: 12/05/2022] [Accepted: 08/22/2023] [Indexed: 09/08/2023] Open
Abstract
Among molecular-based techniques for fungal identification, Sanger sequencing of the primary universal fungal DNA barcode, the internal transcribed spacer (ITS) region (ITS1, 5.8S, ITS2), is commonly used in clinical routine laboratories due to its simplicity, universality, efficacy, and affordability for fungal species identification. However, Sanger sequencing fails to identify mixed ITS sequences in the case of mixed infections. To overcome this limitation, different high-throughput sequencing technologies have been explored. The nanopore-based technology is now one of the most promising long-read sequencing technologies on the market as it has the potential to sequence the full-length ITS region in a single read. In this study, we established a workflow for species identification using the sequences of the entire ITS region generated by nanopore sequencing of both pure yeast isolates and mocked mixed species reads generated with different scenarios. The species used in this study included Candida albicans (n = 2), Candida tropicalis (n = 1), Nakaseomyces glabratus (formerly Candida glabrata) (n = 1), Trichosporon asahii (n = 2), Pichia kudriavzevii (formerly Candida krusei) (n = 1), and Cryptococcus neoformans (n = 1). Comparing various methods to generate the consensus sequence for fungal species identification, the results from this study indicate that read clustering using a modified version of the NanoCLUST pipeline is more sensitive than Canu or VSEARCH, as it classified species accurately with a lower abundance cluster of reads (3% abundance compared to 10% with VSEARCH). The modified NanoCLUST also reduced the number of classified clusters compared to VSEARCH, making the subsequent BLAST+ analysis faster. Subsampling of the datasets, which reduces the size of the datasets by approximately tenfold, did not significantly affect the identification results in terms of the identified species name, percent identity, query coverage, percentage of reads in the classified cluster, and the number of clusters. The ability of the method to distinguish mixed species within sub-populations of large datasets has the potential to aid computer analysis by reducing the required processing power. The herein presented new sequence analysis pipeline will facilitate better interpretation of fungal sequence data for species identification.
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Affiliation(s)
- Nattapong Langsiri
- Medical Microbiology, Interdisciplinary Program, Graduated School, Chulalongkorn University, Bangkok, Thailand
| | - Navaporn Worasilchai
- Department of Transfusion Medicine and Clinical Microbiology, Faculty of Allied Health Science, Chulalongkorn University, Bangkok, Thailand
- Immunomodulation of Natural Products Research Group, Chulalongkorn University, Bangkok, Thailand
| | - Laszlo Irinyi
- Westmead Clinical School, Sydney Medical School, Faculty of Medicine and Health, The University of Sydney, Sydney, NSW, Australia
- Sydney Institute for Infectious Diseases, The University of Sydney, Sydney, NSW, Australia
- Curtin Medical School, Curtin University, Perth, Bentley, WA, Australia
| | - Piroon Jenjaroenpun
- Department of Biomedical Informatics, College of Medicine, University of Arkansas for Medical Sciences, Little Rock, AR, USA
- Division of Medical Bioinformatics, Faculty of Medicine, Siriraj Hospital, Mahidol University, Bangkok, Thailand
| | - Thidathip Wongsurawat
- Department of Biomedical Informatics, College of Medicine, University of Arkansas for Medical Sciences, Little Rock, AR, USA
- Division of Medical Bioinformatics, Faculty of Medicine, Siriraj Hospital, Mahidol University, Bangkok, Thailand
| | - Janet Jennifer Luangsa-Ard
- National Center for Genetic Engineering and Biotechnology (BIOTEC), National Science and Technology Development Agency (NSTDA), 111 Thailand Science Park, Phahonyothin Road, Klong Nueng, Klong Luang, Pathum Thani, Thailand
| | - Wieland Meyer
- Westmead Clinical School, Sydney Medical School, Faculty of Medicine and Health, The University of Sydney, Sydney, NSW, Australia
- Sydney Institute for Infectious Diseases, The University of Sydney, Sydney, NSW, Australia
- Curtin Medical School, Curtin University, Perth, Bentley, WA, Australia
- Westerdijk Fungal Biodiversity Institute, KNAW, Utrecht, The Netherlands
| | - Ariya Chindamporn
- Medical Microbiology, Interdisciplinary Program, Graduated School, Chulalongkorn University, Bangkok, Thailand.
- Department of Microbiology, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand.
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20
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Strutt JPB, Natarajan M, Lee E, Teo DBL, Sin WX, Cheung KW, Chew M, Thazin K, Barone PW, Wolfrum JM, Williams RBH, Rice SA, Springs SL. Machine learning-based detection of adventitious microbes in T-cell therapy cultures using long-read sequencing. Microbiol Spectr 2023; 11:e0135023. [PMID: 37646508 PMCID: PMC10580871 DOI: 10.1128/spectrum.01350-23] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2023] [Accepted: 07/03/2023] [Indexed: 09/01/2023] Open
Abstract
Assuring that cell therapy products are safe before releasing them for use in patients is critical. Currently, compendial sterility testing for bacteria and fungi can take 7-14 days. The goal of this work was to develop a rapid untargeted approach for the sensitive detection of microbial contaminants at low abundance from low volume samples during the manufacturing process of cell therapies. We developed a long-read sequencing methodology using Oxford Nanopore Technologies MinION platform with 16S and 18S amplicon sequencing to detect USP <71> organisms and other microbial species. Reads are classified metagenomically to predict the microbial species. We used an extreme gradient boosting machine learning algorithm (XGBoost) to first assess if a sample is contaminated, and second, determine whether the predicted contaminant is correctly classified or misclassified. The model was used to make a final decision on the sterility status of the input sample. An optimized experimental and bioinformatics pipeline starting from spiked species through to sequenced reads allowed for the detection of microbial samples at 10 colony-forming units (CFU)/mL using metagenomic classification. Machine learning can be coupled with long-read sequencing to detect and identify sample sterility status and microbial species present in T-cell cultures, including the USP <71> organisms to 10 CFU/mL. IMPORTANCE This research presents a novel method for rapidly and accurately detecting microbial contaminants in cell therapy products, which is essential for ensuring patient safety. Traditional testing methods are time-consuming, taking 7-14 days, while our approach can significantly reduce this time. By combining advanced long-read nanopore sequencing techniques and machine learning, we can effectively identify the presence and types of microbial contaminants at low abundance levels. This breakthrough has the potential to improve the safety and efficiency of cell therapy manufacturing, leading to better patient outcomes and a more streamlined production process.
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Affiliation(s)
- James P. B. Strutt
- Singapore-MIT Alliance for Research and Technology, Singapore, Singapore
| | | | - Elizabeth Lee
- Singapore-MIT Alliance for Research and Technology, Singapore, Singapore
| | - Denise Bei Lin Teo
- Singapore-MIT Alliance for Research and Technology, Singapore, Singapore
| | - Wei-Xiang Sin
- Singapore-MIT Alliance for Research and Technology, Singapore, Singapore
| | - Ka-Wai Cheung
- Singapore-MIT Alliance for Research and Technology, Singapore, Singapore
| | - Marvin Chew
- Singapore-MIT Alliance for Research and Technology, Singapore, Singapore
| | - Khaing Thazin
- Singapore-MIT Alliance for Research and Technology, Singapore, Singapore
| | - Paul W. Barone
- MIT Center for Biomedical Innovation, Massachusetts Institute of Technology, Boston, USA
| | - Jacqueline M. Wolfrum
- MIT Center for Biomedical Innovation, Massachusetts Institute of Technology, Boston, USA
| | - Rohan B. H. Williams
- Singapore-MIT Alliance for Research and Technology, Singapore, Singapore
- Singapore Centre for Environmental Life Sciences Engineering, Life Sciences Institute, National University of Singapore, Singapore, Singapore
- Singapore Centre for Environmental Life Sciences Engineering, Nanyang Technological University, Singapore, Singapore
| | - Scott A. Rice
- Singapore Centre for Environmental Life Sciences Engineering, Nanyang Technological University, Singapore, Singapore
- CSIRO Microbiomes for One Systems Health, Agriculture and Food, Westmead, Australia
| | - Stacy L. Springs
- Singapore-MIT Alliance for Research and Technology, Singapore, Singapore
- MIT Center for Biomedical Innovation, Massachusetts Institute of Technology, Boston, USA
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21
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Bellone R, Lechat P, Mousson L, Gilbart V, Piorkowski G, Bohers C, Merits A, Kornobis E, Reveillaud J, Paupy C, Vazeille M, Martinet JP, Madec Y, De Lamballerie X, Dauga C, Failloux AB. Climate change and vector-borne diseases: a multi-omics approach of temperature-induced changes in the mosquito. J Travel Med 2023; 30:taad062. [PMID: 37171132 DOI: 10.1093/jtm/taad062] [Citation(s) in RCA: 8] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/06/2023] [Revised: 04/14/2023] [Accepted: 04/22/2023] [Indexed: 05/13/2023]
Abstract
BACKGROUND Climate change and globalization contribute to the expansion of mosquito vectors and their associated pathogens. Long spared, temperate regions have had to deal with the emergence of arboviruses traditionally confined to tropical regions. Chikungunya virus (CHIKV) was reported for the first time in Europe in 2007, causing a localized outbreak in Italy, which then recurred repeatedly over the years in other European localities. This raises the question of climate effects, particularly temperature, on the dynamics of vector-borne viruses. The objective of this study is to improve the understanding of the molecular mechanisms set up in the vector in response to temperature. METHODS We combine three complementary approaches by examining Aedes albopictus mosquito gene expression (transcriptomics), bacterial flora (metagenomics) and CHIKV evolutionary dynamics (genomics) induced by viral infection and temperature changes. RESULTS We show that temperature alters profoundly mosquito gene expression, bacterial microbiome and viral population diversity. We observe that (i) CHIKV infection upregulated most genes (mainly in immune and stress-related pathways) at 20°C but not at 28°C, (ii) CHIKV infection significantly increased the abundance of Enterobacteriaceae Serratia marcescens at 28°C and (iii) CHIKV evolutionary dynamics were different according to temperature. CONCLUSION The substantial changes detected in the vectorial system (the vector and its bacterial microbiota, and the arbovirus) lead to temperature-specific adjustments to reach the ultimate goal of arbovirus transmission; at 20°C and 28°C, the Asian tiger mosquito Ae. albopictus was able to transmit CHIKV at the same efficiency. Therefore, CHIKV is likely to continue its expansion in the northern regions and could become a public health problem in more countries than those already affected in Europe.
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Affiliation(s)
- Rachel Bellone
- Institut Pasteur, Université Paris Cité, Arboviruses and Insect Vectors Unit, Paris, France
- Institut Pasteur, Collège Doctoral, Sorbonne Université, Paris, France
| | - Pierre Lechat
- Institut Pasteur, Université Paris Cité, Bioinformatics and Biostatistics Hub, Paris, France
| | - Laurence Mousson
- Institut Pasteur, Université Paris Cité, Arboviruses and Insect Vectors Unit, Paris, France
| | - Valentine Gilbart
- Institut Pasteur, Université Paris Cité, Arboviruses and Insect Vectors Unit, Paris, France
| | | | - Chloé Bohers
- Institut Pasteur, Université Paris Cité, Arboviruses and Insect Vectors Unit, Paris, France
| | - Andres Merits
- Institute of Technology, University of Tartu, Tartu, Estonia
| | - Etienne Kornobis
- Institut Pasteur, Université Paris Cité, Bioinformatics and Biostatistics Hub, Paris, France
| | - Julie Reveillaud
- UMR MIVEGEC (IRD 224-CNRS 5290-UM), IRD, INRAe, Montpellier, France
| | - Christophe Paupy
- UMR MIVEGEC (IRD 224-CNRS 5290-UM), IRD, INRAe, Montpellier, France
| | - Marie Vazeille
- Institut Pasteur, Université Paris Cité, Arboviruses and Insect Vectors Unit, Paris, France
| | - Jean-Philippe Martinet
- Institut Pasteur, Université Paris Cité, Arboviruses and Insect Vectors Unit, Paris, France
| | - Yoann Madec
- Institut Pasteur, Université Paris Cité, Emerging Diseases Epidemiology Unit, Paris, France
| | | | - Catherine Dauga
- Institut Pasteur, Université Paris Cité, Arboviruses and Insect Vectors Unit, Paris, France
| | - Anna-Bella Failloux
- Institut Pasteur, Université Paris Cité, Arboviruses and Insect Vectors Unit, Paris, France
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22
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Delva S, De Baets B, Baetens JM, De Clerck O, Stock W. No bacterial-mediated alleviation of thermal stress in a brown seaweed suggests the absence of ecological bacterial rescue effects. THE SCIENCE OF THE TOTAL ENVIRONMENT 2023; 876:162532. [PMID: 36870499 DOI: 10.1016/j.scitotenv.2023.162532] [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: 10/21/2022] [Revised: 02/24/2023] [Accepted: 02/25/2023] [Indexed: 06/18/2023]
Abstract
While microbiome alterations are increasingly proposed as a rapid mechanism to buffer organisms under changing environmental conditions, studies of these processes in the marine realm are lagging far behind their terrestrial counterparts. Here, we used a controlled laboratory experiment to examine whether the thermal tolerance of the brown seaweed Dictyota dichotoma, a common species in European coastal ecosystems, could be enhanced by the repeated addition of bacteria from its natural environment. Juvenile algae from three genotypes were subjected for two weeks to a temperature gradient, spanning almost the entire thermal range that can be tolerated by the species (11-30 °C). At the start of the experiment and again in the middle of the experiment, the algae were inoculated with bacteria from their natural environment or left untouched as a control. Relative growth rate was measured over the two-week period, and we assessed bacterial community composition prior to and at the end of the experiment. Since the growth of D. dichotoma over the full thermal gradient was not affected by supplementing bacteria, our results indicate no scope for bacterial-mediated stress alleviation. The minimal changes in the bacterial communities linked to bacterial addition, particularly at temperatures above the thermal optimum (22-23 °C), suggest the existence of a barrier to bacterial recruitment. These findings indicate that ecological bacterial rescue is unlikely to play a role in mitigating the effects of ocean warming on this brown seaweed.
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Affiliation(s)
- Soria Delva
- Phycology Research Group, Department of Biology, Ghent University, Krijgslaan 281-S8, 9000 Ghent, Belgium; Research Unit Knowledge-Based Systems (KERMIT), Department of Data Analysis and Mathematical Modelling, Ghent University, Coupure links 653, 9000 Ghent, Belgium.
| | - Bernard De Baets
- Research Unit Knowledge-Based Systems (KERMIT), Department of Data Analysis and Mathematical Modelling, Ghent University, Coupure links 653, 9000 Ghent, Belgium.
| | - Jan M Baetens
- Research Unit Knowledge-Based Systems (KERMIT), Department of Data Analysis and Mathematical Modelling, Ghent University, Coupure links 653, 9000 Ghent, Belgium.
| | - Olivier De Clerck
- Phycology Research Group, Department of Biology, Ghent University, Krijgslaan 281-S8, 9000 Ghent, Belgium.
| | - Willem Stock
- Phycology Research Group, Department of Biology, Ghent University, Krijgslaan 281-S8, 9000 Ghent, Belgium.
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23
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Cha T, Kim HH, Keum J, Kwak MJ, Park JY, Hoh JK, Kim CR, Jeon BH, Park HK. Gut microbiome profiling of neonates using Nanopore MinION and Illumina MiSeq sequencing. Front Microbiol 2023; 14:1148466. [PMID: 37256051 PMCID: PMC10225602 DOI: 10.3389/fmicb.2023.1148466] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/20/2023] [Accepted: 04/17/2023] [Indexed: 06/01/2023] Open
Abstract
This study aimed to evaluate the difference in gut microbiomes between preterm and term infants using third-generation long-read sequencing (Oxford Nanopore Technologies, ONT) compared with an established gold standard, Illumina (second-generation short-read sequencing). A total of 69 fecal samples from 51 term (T) and preterm (P) infants were collected at 7 and 28 days of life. Gut colonization profiling was performed by 16S rRNA gene sequencing using ONT. We used Illumina to validate and compare the patterns in 13 neonates. Using bioinformatic analysis, we identified features that differed between P and T. Both T1 and P1 microbiomes were dominated by Firmicutes (Staphylococcus and Enterococcus), whereas sequentially showed dominant transitions to Lactobacillus (p < 0.001) and Streptococcus in T2 (p = 0.001), and pathogenic bacteria (Klebsiella) in P2 (p = 0.001). The abundance of beneficial bacteria (Bifidobacterium and Lactobacillus) increased in T2 (p = 0.026 and p < 0.001, respectively). These assignments were correlated with the abundance at the species-level. Bacterial α-diversity increased in T (p = 0.005) but not in P (p = 0.156), and P2 showed distinct β-diversity clustering than T2 (p = 0.001). The ONT reliably identified pathogenic bacteria at the genus level, and taxonomic profiles were comparable to those identified by Illumina at the genus level. This study shows that ONT and Illumina are highly correlated. P and T had different microbiome profiles, and the α- and β-diversity varied. ONT sequencing has potential for pathogen detection in neonates in clinical settings.
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Affiliation(s)
- Teahyen Cha
- Department of Pediatrics, Hanyang University College of Medicine, Seoul, Republic of Korea
| | - Hoo Hugo Kim
- Department of Earth Resources and Environmental Engineering, Hanyang University, Seoul, Republic of Korea
| | - Jihyun Keum
- Department of Obstetrics and Gynecology, Hanyang University College of Medicine, Seoul, Republic of Korea
| | - Min-Jin Kwak
- Department of Agricultural Biotechnology and Research Institute of Agriculture and Life Sciences, Seoul National University, Seoul, Republic of Korea
| | - Jae Yong Park
- Division of Microbiome, Int-Gen Company, Seoul, Republic of Korea
| | - Jeong Kyu Hoh
- Department of Obstetrics and Gynecology, Hanyang University College of Medicine, Seoul, Republic of Korea
| | - Chang-Ryul Kim
- Department of Pediatrics, Hanyang University College of Medicine, Seoul, Republic of Korea
| | - Byong-Hun Jeon
- Department of Earth Resources and Environmental Engineering, Hanyang University, Seoul, Republic of Korea
| | - Hyun-Kyung Park
- Department of Pediatrics, Hanyang University College of Medicine, Seoul, Republic of Korea
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24
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Jeong S, Kim I, Kim BE, Jeong MI, Oh KK, Cho GS, Franz CMAP. Identification and Characterization of Antibiotic-Resistant, Gram-Negative Bacteria Isolated from Korean Fresh Produce and Agricultural Environment. Microorganisms 2023; 11:1241. [PMID: 37317216 DOI: 10.3390/microorganisms11051241] [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: 03/21/2023] [Revised: 05/02/2023] [Accepted: 05/02/2023] [Indexed: 06/16/2023] Open
Abstract
The consumption of fresh produce and fruits has increased over the last few years as a result of increasing consumer awareness of healthy lifestyles. Several studies have shown that fresh produces and fruits could be potential sources of human pathogens and antibiotic-resistant bacteria. In this study, 248 strains were isolated from lettuce and surrounding soil samples, and 202 single isolates selected by the random amplified polymorphic DNA (RAPD) fingerprinting method were further characterized. From 202 strains, 184 (91.2%) could be identified based on 16S rRNA gene sequencing, while 18 isolates (8.9%) could not be unequivocally identified. A total of 133 (69.3%) and 105 (54.7%) strains showed a resistance phenotype to ampicillin and cefoxitin, respectively, while resistance to gentamicin, tobramycin, ciprofloxacin, and tetracycline occurred only at low incidences. A closer investigation of selected strains by whole genome sequencing showed that seven of the fifteen sequenced strains did not possess any genes related to acquired antibiotic resistance. In addition, only one strain possessed potentially transferable antibiotic resistance genes together with plasmid-related sequences. Therefore, this study indicates that there is a low possibility of transferring antibiotic resistance by potential pathogenic enterobacteria via fresh produce in Korea. However, with regards to public health and consumer safety, fresh produce should nevertheless be continuously monitored to detect the occurrence of foodborne pathogens and to hinder the transfer of antibiotic resistance genes potentially present in these bacteria.
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Affiliation(s)
- Sunyoung Jeong
- Department of Microbiology and Biotechnology, Max Rubner-Institut, Federal Research Institute of Nutrition and Food, Hermann-Weigmann-Straße 1, 24103 Kiel, Germany
- College of Life Sciences and Biotechnology, Korea University, Anam-ro, Seongbuk-gu, Seoul 02841, Republic of Korea
| | - Ile Kim
- Department of Microbiology and Biotechnology, Max Rubner-Institut, Federal Research Institute of Nutrition and Food, Hermann-Weigmann-Straße 1, 24103 Kiel, Germany
- Department of Life Science, Handong Global University, 558 Handong-ro, Buk-gu, Pohang 37554, Republic of Korea
| | - Bo-Eun Kim
- Microbial Safety Division, National Institute of Agricultural Sciences, Rural Development Administration, 166 Nongsaengmyeong-ro, Iseo-myeon, Wanju 55365, Republic of Korea
| | - Myeong-In Jeong
- Microbial Safety Division, National Institute of Agricultural Sciences, Rural Development Administration, 166 Nongsaengmyeong-ro, Iseo-myeon, Wanju 55365, Republic of Korea
| | - Kwang-Kyo Oh
- Microbial Safety Division, National Institute of Agricultural Sciences, Rural Development Administration, 166 Nongsaengmyeong-ro, Iseo-myeon, Wanju 55365, Republic of Korea
| | - Gyu-Sung Cho
- Department of Microbiology and Biotechnology, Max Rubner-Institut, Federal Research Institute of Nutrition and Food, Hermann-Weigmann-Straße 1, 24103 Kiel, Germany
| | - Charles M A P Franz
- Department of Microbiology and Biotechnology, Max Rubner-Institut, Federal Research Institute of Nutrition and Food, Hermann-Weigmann-Straße 1, 24103 Kiel, Germany
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Maes M, Vasupanrajit A, Jirakran K, Klomkliew P, Chanchaem P, Tunvirachaisakul C, Payungporn S. Exploration of the Gut Microbiome in Thai Patients with Major Depressive Disorder Shows a Specific Bacterial Profile with Depletion of the Ruminococcus Genus as a Putative Biomarker. Cells 2023; 12:cells12091240. [PMID: 37174640 PMCID: PMC10177051 DOI: 10.3390/cells12091240] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/10/2023] [Revised: 03/30/2023] [Accepted: 04/18/2023] [Indexed: 05/15/2023] Open
Abstract
Maes et al. (2008) published the first paper demonstrating that major depressive disorder (MDD) is accompanied by abnormalities in the microbiota-gut-brain axis, as evidenced by elevated serum IgM/IgA to lipopolysaccharides (LPS) of Gram-negative bacteria, such as Morganella morganii and Klebsiella Pneumoniae. The latter aberrations, which point to increased gut permeability (leaky gut), are linked to activated neuro-immune and oxidative pathways in MDD. To delineate the profile and composition of the gut microbiome in Thai patients with MDD, we examined fecal samples of 32 MDD patients and 37 controls using 16S rDNA sequencing, analyzed α- (Chao1 and Shannon indices) and β-diversity (Bray-Curtis dissimilarity), and conducted linear discriminant analysis (LDA) effect size (LEfSe) analysis. Neither α- nor β-diversity differed significantly between MDD and controls. Rhodospirillaceae, Hungatella, Clostridium bolteae, Hungatella hathewayi, and Clostridium propionicum were significantly enriched in MDD, while Gracillibacteraceae family, Lutispora, and Ruminococcus genus, Ruminococcus callidus, Desulfovibrio piger, Coprococcus comes, and Gemmiger were enriched in controls. Contradictory results have been reported for all these taxa, with the exception of Ruminococcus, which is depleted in six different MDD studies (one study showed increased abundance), many medical disorders that show comorbidities with MDD, and animal MDD models. Our results may suggest a specific profile of compositional gut dysbiosis in Thai MDD patients, with increases in some pathobionts and depletion of some beneficial microbiota. The results suggest that depletion of Ruminococcus may be a more universal biomarker of MDD that may contribute to increased enteral LPS load, LPS translocation, and gut-brain axis abnormalities.
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Affiliation(s)
- Michael Maes
- Department of Psychiatry, Faculty of Medicine, Chulalongkorn University and King Chulalongkorn Memorial Hospital, The Thai Red Cross Society, Bangkok 10330, Thailand
- Department of Psychiatry, Medical University of Plovdiv, 4002 Plovdiv, Bulgaria
- Research Institute, Medical University Plovdiv, 4002 Plovdiv, Bulgaria
- Kyung Hee University, 26 Kyungheedae-ro, Dongdaemun-gu, Seoul 02447, Republic of Korea
| | - Asara Vasupanrajit
- Department of Psychiatry, Faculty of Medicine, Chulalongkorn University and King Chulalongkorn Memorial Hospital, The Thai Red Cross Society, Bangkok 10330, Thailand
| | - Ketsupar Jirakran
- Department of Psychiatry, Faculty of Medicine, Chulalongkorn University and King Chulalongkorn Memorial Hospital, The Thai Red Cross Society, Bangkok 10330, Thailand
- Maximizing Thai Children's Developmental Potential Research Unit, Department of Pediatrics, Faculty of Medicine, Chulalongkorn University, Bangkok 10330, Thailand
| | - Pavit Klomkliew
- Center of Excellence in Systems Microbiology, Department of Biochemistry, Faculty of Medicine, Chulalongkorn University, Bangkok 10330, Thailand
| | - Prangwalai Chanchaem
- Center of Excellence in Systems Microbiology, Department of Biochemistry, Faculty of Medicine, Chulalongkorn University, Bangkok 10330, Thailand
| | - Chavit Tunvirachaisakul
- Department of Psychiatry, Faculty of Medicine, Chulalongkorn University and King Chulalongkorn Memorial Hospital, The Thai Red Cross Society, Bangkok 10330, Thailand
| | - Sunchai Payungporn
- Center of Excellence in Systems Microbiology, Department of Biochemistry, Faculty of Medicine, Chulalongkorn University, Bangkok 10330, Thailand
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Oraphruek P, Chusak C, Ngamukote S, Sawaswong V, Chanchaem P, Payungporn S, Suantawee T, Adisakwattana S. Effect of a Multispecies Synbiotic Supplementation on Body Composition, Antioxidant Status, and Gut Microbiomes in Overweight and Obese Subjects: A Randomized, Double-Blind, Placebo-Controlled Study. Nutrients 2023; 15:nu15081863. [PMID: 37111082 PMCID: PMC10141052 DOI: 10.3390/nu15081863] [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: 02/27/2023] [Revised: 04/05/2023] [Accepted: 04/11/2023] [Indexed: 04/29/2023] Open
Abstract
Studies investigating the effect of multispecies synbiotic supplementation in obesity management are limited. The current study was performed to evaluate the effects of multispecies probiotics mixed with fructooligosaccharides on body composition, antioxidant status, and gut microbiome composition in overweight and obese individuals. We employed a randomized, double-blind, placebo-controlled trial design, in which 63 individuals aged 18-45 years were assigned to receive either a synbiotic supplement or placebo for 12 weeks. The synbiotic group consumed a daily dose of 37 × 109 colony-forming units (CFU) of a unique blend of seven different probiotics, along with 2 g of fructooligosaccharides, while the placebo group consumed 2 g of maltodextrin daily. Assessments were performed at baseline, week 6, and the end of the study. The results of the study indicated that synbiotic supplementation resulted in a significant reduction in waist circumference and body fat percentage compared to the baseline measurements, as observed at 12 weeks. At the end of the study, there were no significant differences observed in body weight, BMI, waist circumference, or percentage of body fat between the synbiotic group and the placebo group. An analysis of plasma antioxidant capacity revealed that synbiotic supplementation caused a significant increase in Trolox equivalent antioxidant capacity (TEAC) and a concomitant decrease in malondialdehyde (MDA) in the test group when compared to the placebo. For the gut microbiota analysis, synbiotic supplementation significantly decreased Firmicutes abundance and the Firmicutes/Bacteroidetes (F/B) ratio at week 12 as compared to the placebo group. Nevertheless, the synbiotic group did not exhibit any substantial alterations in other biochemical blood parameters compared to the placebo group. These findings suggest that multispecies synbiotic supplementation could be a beneficial strategy to improve body composition, antioxidant status, and gut microbiome composition in overweight and obese subjects.
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Affiliation(s)
- Piyarat Oraphruek
- Phytochemical and Functional Food Research Unit for Clinical Nutrition, Department of Nutrition and Dietetics, Faculty of Allied Health Sciences, Chulalongkorn University, Bangkok 10330, Thailand
| | - Charoonsri Chusak
- Phytochemical and Functional Food Research Unit for Clinical Nutrition, Department of Nutrition and Dietetics, Faculty of Allied Health Sciences, Chulalongkorn University, Bangkok 10330, Thailand
| | - Sathaporn Ngamukote
- Phytochemical and Functional Food Research Unit for Clinical Nutrition, Department of Nutrition and Dietetics, Faculty of Allied Health Sciences, Chulalongkorn University, Bangkok 10330, Thailand
| | - Vorthon Sawaswong
- Center of Excellence in Systems Microbiology, Faculty of Medicine, Chulalongkorn University, Bangkok 10330, Thailand
| | - Prangwalai Chanchaem
- Center of Excellence in Systems Microbiology, Faculty of Medicine, Chulalongkorn University, Bangkok 10330, Thailand
| | - Sunchai Payungporn
- Center of Excellence in Systems Microbiology, Faculty of Medicine, Chulalongkorn University, Bangkok 10330, Thailand
- Department of Biochemistry, Faculty of Medicine, Chulalongkorn University, Bangkok 10330, Thailand
| | - Tanyawan Suantawee
- Phytochemical and Functional Food Research Unit for Clinical Nutrition, Department of Nutrition and Dietetics, Faculty of Allied Health Sciences, Chulalongkorn University, Bangkok 10330, Thailand
| | - Sirichai Adisakwattana
- Phytochemical and Functional Food Research Unit for Clinical Nutrition, Department of Nutrition and Dietetics, Faculty of Allied Health Sciences, Chulalongkorn University, Bangkok 10330, Thailand
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Sawaswong V, Chanchaem P, Kemthong T, Warit S, Chaiprasert A, Malaivijitnond S, Payungporn S. Alteration of gut microbiota in wild-borne long-tailed macaques after 1-year being housed in hygienic captivity. Sci Rep 2023; 13:5842. [PMID: 37037869 PMCID: PMC10085984 DOI: 10.1038/s41598-023-33163-6] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/09/2023] [Accepted: 04/07/2023] [Indexed: 04/12/2023] Open
Abstract
The wild-born long-tailed macaques (Macaca fascicularis) were recently recruited and used as breeders for the National Primate Research Center of Thailand, Chulalongkorn University (NPRCT-CU), and changes in their in-depth gut microbiota profiles were investigated. The Oxford Nanopore Technology (ONT) was used to explore full-length 16S rDNA sequences of gut microbiota in animals once captured in their natural habitat and 1-year following translocation and housing in a hygienic environment at NPRCT-CU. Our findings show that the gut microbiota of macaques after 1 year of hygienic housing and programmed diets feeding was altered and reshaped. The prevalent gut bacteria such as Prevotella copri and Faecalibacterium prausnitzii were enriched after translocation, causing the lower alpha diversity. The correlation analysis revealed that Prevotella copri, Phascolarctobacterium succinatutens, and Prevotella stercorea, showed a positive correlation with each other. Significantly enriched pathways in the macaques after translocation included biosynthesis of essential amino acids, fatty acids, polyamine and butanoate. The effects of microbiota change could help macaques to harvest the energy from programmed diets and adapt their gut metabolism. The novel probiotics and microbiota engineering approach could be further developed based on the current findings and should be helpful for captive animal health care management.
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Affiliation(s)
- Vorthon Sawaswong
- Program in Bioinformatics and Computational Biology, Graduate School, Chulalongkorn University, Bangkok, 10330, Thailand
- Center of Excellence in Systems Microbiology, Department of Biochemistry, Faculty of Medicine, Chulalongkorn University, 1873 Rama IV Road, Patumwan, Bangkok, 10330, Thailand
- Nucleic Acid Section, Laboratory of Metabolism, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD, 20892, USA
| | - Prangwalai Chanchaem
- Center of Excellence in Systems Microbiology, Department of Biochemistry, Faculty of Medicine, Chulalongkorn University, 1873 Rama IV Road, Patumwan, Bangkok, 10330, Thailand
| | - Taratorn Kemthong
- National Primate Research Center of Thailand, Chulalongkorn University, Saraburi, 18110, Thailand
| | - Saradee Warit
- Industrial Tuberculosis Team, Industrial Medical Molecular Biotechnology Research Group, National Center for Genetic Engineering and Biotechnology, National Science and Technology Development Agency, Pathum Thani, 12120, Thailand
| | - Angkana Chaiprasert
- Office for Research and Development, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, 10700, Thailand
| | - Suchinda Malaivijitnond
- National Primate Research Center of Thailand, Chulalongkorn University, Saraburi, 18110, Thailand
- Department of Biology, Faculty of Science, Chulalongkorn University, Bangkok, 10330, Thailand
| | - Sunchai Payungporn
- Center of Excellence in Systems Microbiology, Department of Biochemistry, Faculty of Medicine, Chulalongkorn University, 1873 Rama IV Road, Patumwan, Bangkok, 10330, Thailand.
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Stach TL, Sieber G, Shah M, Simon SA, Soares A, Bornemann TLV, Plewka J, Künkel J, Becker C, Meyer F, Boenigk J, Probst AJ. Temporal disturbance of a model stream ecosystem by high microbial diversity from treated wastewater. Microbiologyopen 2023; 12:e1347. [PMID: 37186231 PMCID: PMC10012233 DOI: 10.1002/mbo3.1347] [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: 11/22/2022] [Revised: 02/02/2023] [Accepted: 02/17/2023] [Indexed: 03/15/2023] Open
Abstract
Microbial communities in freshwater streams play an essential role in ecosystem functioning via biogeochemical cycling. Yet, the impacts of treated wastewater influx into stream ecosystems on microbial strain diversity remain mostly unexplored. Here, we coupled full-length 16S ribosomal RNA gene Nanopore sequencing and strain-resolved metagenomics to investigate the impact of treated wastewater on a mesocosm system (AquaFlow) run with restored river water. Over 10 days, community Bray-Curtis dissimilarities between treated and control mesocosm decreased (0.57 ± 0.058 to 0.26 ± 0.046) based on ribosomal protein S3 gene clustering, finally converging to nearly identical communities. Similarly, strain-resolved metagenomics revealed a high diversity of bacteria and viruses after the introduction of treated wastewater; these microbes also decreased over time resulting in the same strain clusters in control and treatment at the end of the experiment. Specifically, 39.2% of viral strains detected in all samples were present after the introduction of treated wastewater only. Although bacteria present at low abundance in the treated wastewater introduced additional antibiotic resistance genes, signals of naturally occurring ARG-encoding organisms resembled the resistome at the endpoint. Our results suggest that the previously stressed freshwater stream and its microbial community are resilient to a substantial introduction of treated wastewater.
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Affiliation(s)
- Tom L. Stach
- Environmental Metagenomics, Research Center One Health Ruhr of the University Alliance Ruhr, Faculty of ChemistryUniversity of Duisburg‐EssenEssenGermany
| | - Guido Sieber
- Department of BiodiversityUniversity of Duisburg‐EssenEssenGermany
| | - Manan Shah
- Environmental Metagenomics, Research Center One Health Ruhr of the University Alliance Ruhr, Faculty of ChemistryUniversity of Duisburg‐EssenEssenGermany
- Department of BiodiversityUniversity of Duisburg‐EssenEssenGermany
| | - Sophie A. Simon
- Environmental Metagenomics, Research Center One Health Ruhr of the University Alliance Ruhr, Faculty of ChemistryUniversity of Duisburg‐EssenEssenGermany
| | - André Soares
- Environmental Metagenomics, Research Center One Health Ruhr of the University Alliance Ruhr, Faculty of ChemistryUniversity of Duisburg‐EssenEssenGermany
| | - Till L. V. Bornemann
- Environmental Metagenomics, Research Center One Health Ruhr of the University Alliance Ruhr, Faculty of ChemistryUniversity of Duisburg‐EssenEssenGermany
| | - Julia Plewka
- Environmental Metagenomics, Research Center One Health Ruhr of the University Alliance Ruhr, Faculty of ChemistryUniversity of Duisburg‐EssenEssenGermany
| | - Julian Künkel
- Environmental Metagenomics, Research Center One Health Ruhr of the University Alliance Ruhr, Faculty of ChemistryUniversity of Duisburg‐EssenEssenGermany
| | | | - Folker Meyer
- Institute for Artificial IntelligenceUniversity of Duisburg‐EssenEssenGermany
| | - Jens Boenigk
- Department of BiodiversityUniversity of Duisburg‐EssenEssenGermany
- Centre of Water and Environmental Research (ZWU)University of Duisburg‐EssenEssenGermany
| | - Alexander J. Probst
- Environmental Metagenomics, Research Center One Health Ruhr of the University Alliance Ruhr, Faculty of ChemistryUniversity of Duisburg‐EssenEssenGermany
- Centre of Water and Environmental Research (ZWU)University of Duisburg‐EssenEssenGermany
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Zhang Y, Wang Y, Tang M, Zhou J, Zhang T. The microbial dark matter and "wanted list" in worldwide wastewater treatment plants. MICROBIOME 2023; 11:59. [PMID: 36973807 PMCID: PMC10045942 DOI: 10.1186/s40168-023-01503-3] [Citation(s) in RCA: 9] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 08/12/2022] [Accepted: 02/24/2023] [Indexed: 06/18/2023]
Abstract
BACKGROUND Wastewater treatment plants (WWTPs) are one of the largest biotechnology applications in the world and are of critical importance to modern urban societies. An accurate evaluation of the microbial dark matter (MDM, microorganisms whose genomes remain uncharacterized) proportions in WWTPs is of great value, while there is no such research yet. This study conducted a global meta-analysis of MDM in WWTPs with 317,542 prokaryotic genomes from the Genome Taxonomy Database and proposed a "wanted list" for priority targets in further investigations of activated sludge. RESULTS Compared with the Earth Microbiome Project data, WWTPs had relatively lower genome-sequenced proportions of prokaryotes than other ecosystems, such as the animal related environments. Analysis showed that the median proportions of the genome-sequenced cells and taxa (100% identity and 100% coverage in 16S rRNA gene region) in WWTPs reached 56.3% and 34.5% for activated sludge, 48.6% and 28.5% for aerobic biofilm, and 48.3% and 28.5% for anaerobic digestion sludge, respectively. This result meant MDM had high proportions in WWTPs. Besides, all of the samples were occupied by a few predominant taxa, and the majority of the sequenced genomes were from pure cultures. The global-scale "wanted list" for activated sludge contained four phyla that have few representatives and 71 operational taxonomic units with the majority of them having no genome or isolate yet. Finally, several genome mining methods were verified to successfully recover genomes from activated sludge such as hybrid assembly of the second- and third-generation sequencing. CONCLUSIONS This work elucidated the proportion of MDM in WWTPs, defined the "wanted list" of activated sludge for future investigations, and certified potential genome recovery methods. The proposed methodology of this study can be applied to other ecosystems and improve understanding of ecosystem structure across diverse habitats. Video Abstract.
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Affiliation(s)
- Yulin Zhang
- Environmental Microbiome Engineering and Biotechnology Lab, Department of Civil Engineering, The University of Hong Kong, Pokfulam Road, Hong Kong, China
| | - Yulin Wang
- Environmental Microbiome Engineering and Biotechnology Lab, Department of Civil Engineering, The University of Hong Kong, Pokfulam Road, Hong Kong, China
| | - Mingxi Tang
- Environmental Microbiome Engineering and Biotechnology Lab, Department of Civil Engineering, The University of Hong Kong, Pokfulam Road, Hong Kong, China
| | - Jizhong Zhou
- Institute for Environmental Genomics, Department of Microbiology and Plant Biology, and School of Civil Engineering and Environmental Sciences, University of Oklahoma, Norman, OK, USA
| | - Tong Zhang
- Environmental Microbiome Engineering and Biotechnology Lab, Department of Civil Engineering, The University of Hong Kong, Pokfulam Road, Hong Kong, China.
- Shenzhen Bay Laboratory, Shenzhen, China.
- Peking University Shenzhen Graduate School, Shenzhen, China.
- Macau Institute for Applied Research in Medicine and Health, Macau University of Science and Technology, Macau, China.
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Kruasuwan W, Jenjaroenpun P, Arigul T, Chokesajjawatee N, Leekitcharoenphon P, Foongladda S, Wongsurawat T. Nanopore Sequencing Discloses Compositional Quality of Commercial Probiotic Feed Supplements. Sci Rep 2023; 13:4540. [PMID: 36941307 PMCID: PMC10027865 DOI: 10.1038/s41598-023-31626-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/13/2022] [Accepted: 03/15/2023] [Indexed: 03/23/2023] Open
Abstract
The market for the application of probiotics as a livestock health improvement supplement has increased in recent years. However, most of the available products are quality-controlled using low-resolution techniques and un-curated databases, resulting in misidentification and incorrect product labels. In this work, we deployed two workflows and compared results obtained by full-length 16S rRNA genes (16S) and metagenomic (Meta) data to investigate their reliability for the microbial composition of both liquid and solid forms of animal probiotic products using Oxford Nanopore long-read-only (without short-read). Our result revealed that 16S amplicon data permits to detect the bacterial microbiota even with the low abundance in the samples. Moreover, the 16S approach has the potential to provide species-level resolution for prokaryotes but not for assessing yeast communities. Whereas, Meta data has more power to recover of high-quality metagenome-assembled genomes that enables detailed exploration of both bacterial and yeast populations, as well as antimicrobial resistance genes, and functional genes in the population. Our findings clearly demonstrate that implementing these workflows with long-read-only monitoring could be applied to assessing the quality and safety of probiotic products for animals and evaluating the quality of probiotic products on the market. This would benefit the sustained growth of the livestock probiotic industry.
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Affiliation(s)
- Worarat Kruasuwan
- Division of Medical Bioinformatics, Research Department, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand
- Siriraj Long-Read Lab (Si-LoL), Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand
| | - Piroon Jenjaroenpun
- Division of Medical Bioinformatics, Research Department, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand
- Siriraj Long-Read Lab (Si-LoL), Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand
- Department of Biomedical Informatics, University of Arkansas for Medical Sciences, Little Rock, AR, USA
| | - Tantip Arigul
- Division of Medical Bioinformatics, Research Department, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand
- Siriraj Long-Read Lab (Si-LoL), Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand
| | - Nipa Chokesajjawatee
- National Center for Genetic Engineering and Biotechnology (BIOTEC), 113 Thailand Science Park, Phahonyothin Road, Khlong Nueng, Khlong Luang, Pathum Thani, Thailand
| | - Pimlapas Leekitcharoenphon
- Research Group for Genomic Epidemiology, National Food Institute, Technical University of Denmark, 2800, Kgs. Lyngby, Denmark
| | - Suporn Foongladda
- Department of Microbiology, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand
| | - Thidathip Wongsurawat
- Division of Medical Bioinformatics, Research Department, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand.
- Siriraj Long-Read Lab (Si-LoL), Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand.
- Department of Biomedical Informatics, University of Arkansas for Medical Sciences, Little Rock, AR, USA.
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Siew SW, Musa SM, Sabri N'A, Farida Asras MF, Ahmad HF. Evaluation of pre-treated healthcare wastes during COVID-19 pandemic reveals pathogenic microbiota, antibiotics residues, and antibiotic resistance genes against beta-lactams. ENVIRONMENTAL RESEARCH 2023; 219:115139. [PMID: 36565841 PMCID: PMC9771581 DOI: 10.1016/j.envres.2022.115139] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 10/03/2022] [Revised: 11/25/2022] [Accepted: 12/20/2022] [Indexed: 06/17/2023]
Abstract
The disposal of healthcare waste without prior elimination of pathogens and hazardous contaminants has negative effects on the environment and public health. This study aimed to profile the complete microbial community and correlate it with the antibiotic compounds identified in microwave pre-treated healthcare wastes collected from three different waste operators in Peninsular Malaysia. The bacterial and fungal compositions were determined via amplicon sequencing by targeting the full-length 16S rRNA gene and partial 18S with full-length ITS1-ITS2 regions, respectively. The antibiotic compounds were characterized using high-throughput spectrometry. There was significant variation in bacterial and fungal composition in three groups of samples, with alpha- (p-value = 0.04) and beta-diversity (p-values <0.006 and < 0.002), respectively. FC samples were found to acquire more pathogenic microorganisms than FA and FV samples. Paenibacillus and unclassified Bacilli genera were shared among three groups of samples, meanwhile, antibiotic-resistant bacteria Proteus mirabilis, Enterococcus faecium, and Enterococcus faecalis were found in modest quantities. A total of 19 antibiotic compounds were discovered and linked with the microbial abundance detected in the healthcare waste samples. The principal component analysis demonstrated a positive antibiotic-bacteria correlation for genera Pseudomonas, Aerococcus, Comamonas, and Vagococcus, while the other bacteria were negatively linked with antibiotics. Nevertheless, deep bioinformatic analysis confirmed the presence of blaTEM-1 and penP which are associated with the production of class A beta-lactamase and beta-lactam resistance pathways. Microorganisms and contaminants, which serve as putative indicators in healthcare waste treatment evaluation revealed the ineffectiveness of microbial inactivation using the microwave sterilization method. Our findings suggested that the occurrence of clinically relevant microorganisms, antibiotic contaminants, and associated antibiotic resistance genes (ARGs) represent environmental and human health hazards when released into landfills via ARGs transmission.
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Affiliation(s)
- Shing Wei Siew
- Faculty of Industrial Sciences and Technology, Universiti Malaysia Pahang, Lebuhraya Tun Razak, 26300, Gambang, Pahang, Malaysia.
| | - Siti Munirah Musa
- Faculty of Industrial Sciences and Technology, Universiti Malaysia Pahang, Lebuhraya Tun Razak, 26300, Gambang, Pahang, Malaysia.
| | - Nurul 'Azyyati Sabri
- Faculty of Industrial Sciences and Technology, Universiti Malaysia Pahang, Lebuhraya Tun Razak, 26300, Gambang, Pahang, Malaysia; Group of Environment, Microbiology and Bioprocessing (GERMS), Lebuhraya Tun Razak, 26300, Gambang, Pahang, Malaysia.
| | - Mohd Fazli Farida Asras
- Faculty of Industrial Sciences and Technology, Universiti Malaysia Pahang, Lebuhraya Tun Razak, 26300, Gambang, Pahang, Malaysia; Group of Environment, Microbiology and Bioprocessing (GERMS), Lebuhraya Tun Razak, 26300, Gambang, Pahang, Malaysia.
| | - Hajar Fauzan Ahmad
- Faculty of Industrial Sciences and Technology, Universiti Malaysia Pahang, Lebuhraya Tun Razak, 26300, Gambang, Pahang, Malaysia; Group of Environment, Microbiology and Bioprocessing (GERMS), Lebuhraya Tun Razak, 26300, Gambang, Pahang, Malaysia.
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Beccaccioli M, Moricca C, Faino L, Reale R, Mineo M, Reverberi M. The Neolithic site "La Marmotta": DNA metabarcoding to identify the microbial deterioration of waterlogged archeological wood. Front Microbiol 2023; 14:1129983. [PMID: 37032892 PMCID: PMC10079079 DOI: 10.3389/fmicb.2023.1129983] [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: 12/22/2022] [Accepted: 03/03/2023] [Indexed: 04/11/2023] Open
Abstract
Introduction The evaluation of biological degradation of waterlogged archeological wood is crucial to choose the conservative and protective treatments to be applied to the wooden material. The waterlogged environmental conditions are characterized by oxygen scarcity, only allowing the growth of adapted microbes capable to degrade the organic wooden material, mainly erosion bacteria and soft-rot fungi. In this work, we characterized and evaluated the biodegradation state and the microbial communities of wooden fragments preserved in storage tanks. These were preserved by waterlogging within the Neolithic village "La Marmotta," currently found under the Bracciano Lake (Lazio, Italy). Methods The waterlogged wood samples were first identified taxonomically with an optical microscope, also allowing an evaluation of their preservation state. The microbial community was then evaluated through the sequencing of Internal Transcribed Spacer sequences for fungi and 16S for bacteria with the Oxford Nanopore Technologies (ONT) MinION platform. Results The identified microbial community appears to be consistent with the waterlogged samples, as many bacteria attributable to the erosion of wood and ligninolytic fungi have been sequenced. Discussion The reported results highlight the first use of targeted metabarcoding by ONT applied to study the biodeterioration of waterlogged archeological wood.
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Affiliation(s)
- Marzia Beccaccioli
- Department of Environmental Biology, “Sapienza” University of Rome, Rome, Italy
- *Correspondence: Marzia Beccaccioli,
| | - Claudia Moricca
- Department of Environmental Biology, “Sapienza” University of Rome, Rome, Italy
| | - Luigi Faino
- Department of Environmental Biology, “Sapienza” University of Rome, Rome, Italy
| | - Rita Reale
- Chemistry Applied to Restoration, A. Galli Academy, Via Petrarca, Como, Italy
| | - Mario Mineo
- Department of Environmental Biology, “Sapienza” University of Rome, Rome, Italy
| | - Massimo Reverberi
- Department of Environmental Biology, “Sapienza” University of Rome, Rome, Italy
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Borges ASG, Basu M, Brinks E, Bang C, Cho GS, Baines JF, Franke A, Franz CMAP. Fast Identification Method for Screening Bacteria from Faecal Samples Using Oxford Nanopore Technologies MinION Sequencing. Curr Microbiol 2023; 80:101. [PMID: 36759384 PMCID: PMC9911510 DOI: 10.1007/s00284-023-03201-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/17/2022] [Accepted: 01/23/2023] [Indexed: 02/11/2023]
Abstract
Most bacterial identification methods require extensive culturing, strain purification and DNA extraction protocols. This leads to additional expenses and time lags when isolating specific bacteria from complex microbiological ecosystems. This study aimed to develop a fast and robust method for identification of lactobacilli, bifidobacteria and Bacteroides in human faecal samples. Bacteria from faecal samples were cultured anaerobically on selective media. Sonication-based DNA extraction was performed, followed by almost complete 16S rRNA gene polymerase chain reaction amplification and MinION sequencing with the Flongle adapter. Sequence analysis was performed using NanoCLUST, while RStudio was used for graphics. For 110 of the 125 colonies investigated, 100% of reads were attributed to a single species, while the remaining 15 colonies consisted of mixtures of up to three different species. The proposed bacterial identification method is advantageous for isolating particular bacteria for which there are no exclusively selective media, as it avoids lengthy colony purification and DNA purification methods, and yields a quick colony identification with high accuracy. Therefore, this method can be used for directly screening for pure cultures of target microorganisms and is suitable for the identification of bacteria in culturomics studies.
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Affiliation(s)
- Ana Sofia G. Borges
- grid.72925.3b0000 0001 1017 8329Department of Microbiology and Biotechnology, Max Rubner-Institut, Federal Research Institute for Nutrition and Food, Hermann-Weigmann-Straße 1, 24103 Kiel, Germany
| | - Meghna Basu
- grid.412468.d0000 0004 0646 2097Section of Evolutionary Medicine, Institute for Experimental Medicine, Christian-Albrechts-University Kiel, UKSH, Campus Kiel, Michaelisstraße 5, 24105 Kiel, Germany ,grid.419520.b0000 0001 2222 4708Max Planck Institute for Evolutionary Biology, August-Thienemann-Straße 2, 24306 Plön, Germany
| | - Erik Brinks
- grid.72925.3b0000 0001 1017 8329Department of Microbiology and Biotechnology, Max Rubner-Institut, Federal Research Institute for Nutrition and Food, Hermann-Weigmann-Straße 1, 24103 Kiel, Germany
| | - Corinna Bang
- grid.9764.c0000 0001 2153 9986Institute of Clinical Molecular Biology, Christian Albrechts University of Kiel, Rosalind-Franklin-Straße 12, 24105 Kiel, Germany
| | - Gyu-Sung Cho
- Department of Microbiology and Biotechnology, Max Rubner-Institut, Federal Research Institute for Nutrition and Food, Hermann-Weigmann-Straße 1, 24103, Kiel, Germany.
| | - John F. Baines
- grid.412468.d0000 0004 0646 2097Section of Evolutionary Medicine, Institute for Experimental Medicine, Christian-Albrechts-University Kiel, UKSH, Campus Kiel, Michaelisstraße 5, 24105 Kiel, Germany ,grid.419520.b0000 0001 2222 4708Max Planck Institute for Evolutionary Biology, August-Thienemann-Straße 2, 24306 Plön, Germany
| | - Andre Franke
- grid.9764.c0000 0001 2153 9986Institute of Clinical Molecular Biology, Christian Albrechts University of Kiel, Rosalind-Franklin-Straße 12, 24105 Kiel, Germany
| | - Charles M. A. P. Franz
- grid.72925.3b0000 0001 1017 8329Department of Microbiology and Biotechnology, Max Rubner-Institut, Federal Research Institute for Nutrition and Food, Hermann-Weigmann-Straße 1, 24103 Kiel, Germany
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Lee AWT, Chan CTM, Wong LLY, Yip CY, Lui WT, Cheng KC, Leung JSL, Lee LK, Wong ITF, Ng TTL, Lao HY, Siu GKH. Identification of microbial community in the urban environment: The concordance between conventional culture and nanopore 16S rRNA sequencing. Front Microbiol 2023; 14:1164632. [PMID: 37125165 PMCID: PMC10133568 DOI: 10.3389/fmicb.2023.1164632] [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: 02/13/2023] [Accepted: 03/14/2023] [Indexed: 05/02/2023] Open
Abstract
Introduction Microbes in the built environment have been implicated as a source of infectious diseases. Bacterial culture is the standard method for assessing the risk of exposure to pathogens in urban environments, but this method only accounts for <1% of the diversity of bacteria. Recently, full-length 16S rRNA gene analysis using nanopore sequencing has been applied for microbial evaluations, resulting in a rise in the development of long-read taxonomic tools for species-level classification. Regarding their comparative performance, there is, however, a lack of information. Methods Here, we aim to analyze the concordance of the microbial community in the urban environment inferred by multiple taxonomic classifiers, including ARGpore2, Emu, Kraken2/Bracken and NanoCLUST, using our 16S-nanopore dataset generated by MegaBLAST, as well as assess their abilities to identify culturable species based on the conventional culture results. Results According to our results, NanoCLUST was preferred for 16S microbial profiling because it had a high concordance of dominant species and a similar microbial profile to MegaBLAST, whereas Kraken2/Bracken, which had similar clustering results as NanoCLUST, was also desirable. Second, for culturable species identification, Emu with the highest accuracy (81.2%) and F1 score (29%) for the detection of culturable species was suggested. Discussion In addition to generating datasets in complex communities for future benchmarking studies, our comprehensive evaluation of the taxonomic classifiers offers recommendations for ongoing microbial community research, particularly for complex communities using nanopore 16S rRNA sequencing.
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Morales-Rivera MF, Valenzuela-Miranda D, Nuñez-Acuña G, Benavente BP, Gallardo-Escárate C, Valenzuela-Muñoz V. Atlantic Salmon ( Salmo salar) Transfer to Seawater by Gradual Salinity Changes Exhibited an Increase in The Intestinal Microbial Abundance and Richness. Microorganisms 2022; 11:microorganisms11010076. [PMID: 36677368 PMCID: PMC9865641 DOI: 10.3390/microorganisms11010076] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/26/2022] [Revised: 12/07/2022] [Accepted: 12/20/2022] [Indexed: 12/29/2022] Open
Abstract
The host's physiological history and environment determine the microbiome structure. In that sense, the strategy used for the salmon transfer to seawater after parr-smolt transformation may influence the Atlantic salmon's intestinal microbiota. Therefore, this study aimed to explore the diversity and abundance of the Atlantic salmon intestinal microbiota and metagenome functional prediction during seawater transfer under three treatments. One group was exposed to gradual salinity change (GSC), the other to salinity shock (SS), and the third was fed with a functional diet (FD) before the seawater (SW) transfer. The microbial profile was assessed through full-16S rRNA gene sequencing using the Nanopore platform. In addition, metagenome functional prediction was performed using PICRUSt2. The results showed an influence of salinity changes on Atlantic salmon gut microbiota richness, diversity, and taxonomic composition. The findings reveal that GSC and the FD increased the Atlantic salmon smolt microbiota diversity, suggesting a positive association between the intestinal microbial community and fish health during seawater transfer. The reported knowledge can be applied to surveil the microbiome in smolt fish production, improving the performance of Atlantic salmon to seawater transfer.
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Affiliation(s)
- María F. Morales-Rivera
- Interdisciplinary Center for Aquaculture Research (INCAR), University of Concepción, Concepcion 4030000, Chile
- Laboratory of Biotechnology and Aquatic Genomics, Department of Oceanography, University of Concepción, Concepcion 4030000, Chile
| | - Diego Valenzuela-Miranda
- Interdisciplinary Center for Aquaculture Research (INCAR), University of Concepción, Concepcion 4030000, Chile
- Laboratory of Biotechnology and Aquatic Genomics, Department of Oceanography, University of Concepción, Concepcion 4030000, Chile
- Centro de Biotecnología, Universidad de Concepción, Concepcion 4030000, Chile
| | - Gustavo Nuñez-Acuña
- Interdisciplinary Center for Aquaculture Research (INCAR), University of Concepción, Concepcion 4030000, Chile
- Laboratory of Biotechnology and Aquatic Genomics, Department of Oceanography, University of Concepción, Concepcion 4030000, Chile
| | - Bárbara P. Benavente
- Interdisciplinary Center for Aquaculture Research (INCAR), University of Concepción, Concepcion 4030000, Chile
- Laboratory of Biotechnology and Aquatic Genomics, Department of Oceanography, University of Concepción, Concepcion 4030000, Chile
| | - Cristian Gallardo-Escárate
- Interdisciplinary Center for Aquaculture Research (INCAR), University of Concepción, Concepcion 4030000, Chile
- Laboratory of Biotechnology and Aquatic Genomics, Department of Oceanography, University of Concepción, Concepcion 4030000, Chile
| | - Valentina Valenzuela-Muñoz
- Interdisciplinary Center for Aquaculture Research (INCAR), University of Concepción, Concepcion 4030000, Chile
- Laboratory of Biotechnology and Aquatic Genomics, Department of Oceanography, University of Concepción, Concepcion 4030000, Chile
- Centro de Biotecnología, Universidad de Concepción, Concepcion 4030000, Chile
- Correspondence: ; Tel.: +56-41-2204402
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Hu X, Haas JG, Lathe R. The electronic tree of life (eToL): a net of long probes to characterize the microbiome from RNA-seq data. BMC Microbiol 2022; 22:317. [PMID: 36550399 PMCID: PMC9773549 DOI: 10.1186/s12866-022-02671-2] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/27/2021] [Accepted: 10/11/2022] [Indexed: 12/24/2022] Open
Abstract
BACKGROUND Microbiome analysis generally requires PCR-based or metagenomic shotgun sequencing, sophisticated programs, and large volumes of data. Alternative approaches based on widely available RNA-seq data are constrained because of sequence similarities between the transcriptomes of microbes/viruses and those of the host, compounded by the extreme abundance of host sequences in such libraries. Current approaches are also limited to specific microbial groups. There is a need for alternative methods of microbiome analysis that encompass the entire tree of life. RESULTS We report a method to specifically retrieve non-human sequences in human tissue RNA-seq data. For cellular microbes we used a bioinformatic 'net', based on filtered 64-mer sequences designed from small subunit ribosomal RNA (rRNA) sequences across the Tree of Life (the 'electronic tree of life', eToL), to comprehensively (98%) entrap all non-human rRNA sequences present in the target tissue. Using brain as a model, retrieval of matching reads, re-exclusion of human-related sequences, followed by contig building and species identification, is followed by confirmation of the abundance and identity of the corresponding species groups. We provide methods to automate this analysis. The method reduces the computation time versus metagenomics by a factor of >1000. A variant approach is necessary for viruses. Again, because of significant matches between viral and human sequences, a 'stripping' approach is essential. Contamination during workup is a potential problem, and we discuss strategies to circumvent this issue. To illustrate the versatility of the method we report the use of the eToL methodology to unambiguously identify exogenous microbial and viral sequences in human tissue RNA-seq data across the entire tree of life including Archaea, Bacteria, Chloroplastida, basal Eukaryota, Fungi, and Holozoa/Metazoa, and discuss the technical and bioinformatic challenges involved. CONCLUSIONS This generic methodology is likely to find wide application in microbiome analysis including diagnostics.
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Affiliation(s)
- Xinyue Hu
- Program in Bioinformatics, School of Biological Sciences, King's Buildings, University of Edinburgh, Edinburgh, EH9 3FD, UK
| | - Jürgen G Haas
- Division of Infection Medicine, University of Edinburgh, Little France, Edinburgh, EH16 4SB, UK
| | - Richard Lathe
- Division of Infection Medicine, University of Edinburgh, Little France, Edinburgh, EH16 4SB, UK.
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Huggins LG, Colella V, Atapattu U, Koehler AV, Traub RJ. Nanopore Sequencing Using the Full-Length 16S rRNA Gene for Detection of Blood-Borne Bacteria in Dogs Reveals a Novel Species of Hemotropic Mycoplasma. Microbiol Spectr 2022; 10:e0308822. [PMID: 36250862 PMCID: PMC9769565 DOI: 10.1128/spectrum.03088-22] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/08/2022] [Accepted: 09/26/2022] [Indexed: 01/09/2023] Open
Abstract
Dogs across the globe are afflicted by diverse blood- and vector-borne bacteria (VBB), many of which cause severe disease and can be fatal. Diagnosis of VBB infections can be challenging due to the low concentration of bacteria in the blood, the frequent occurrence of coinfections, and the wide range of known, emerging, and potentially novel VBB species encounterable. Therefore, there is a need for diagnostics that address these challenges by being both sensitive and capable of detecting all VBB simultaneously. We detail the first employment of a nanopore-based sequencing methodology conducted on the Oxford Nanopore Technologies (ONT) MinION device to accurately elucidate the "hemobacteriome" from canine blood through sequencing of the full-length 16S rRNA gene. We detected a diverse range of important canine VBB, including Ehrlichia canis, Anaplasma platys, Mycoplasma haemocanis, Bartonella clarridgeiae, "Candidatus Mycoplasma haematoparvum", a novel species of hemotropic mycoplasma, and Wolbachia endosymbionts of filarial worms, indicative of filariasis. Our nanopore-based protocol was equivalent in sensitivity to both quantitative PCR (qPCR) and Illumina sequencing when benchmarked against these methods, achieving high agreement as defined by the kappa statistics (k > 0.81) for three key VBB. Utilizing the ability of the ONT' MinION device to sequence long read lengths provides an excellent alternative diagnostic method by which the hemobacteriome can be accurately characterized to the species level in a way previously unachievable using short reads. We envision our method to be translatable to multiple contexts, such as the detection of VBB in other vertebrate hosts, including humans, while the small size of the MinION device is highly amenable to field use. IMPORTANCE Blood- and vector-borne bacteria (VBB) can cause severe pathology and even be lethal for dogs in many regions across the globe. Accurate characterization of all the bacterial pathogens infecting a canine host is critical, as coinfections are common and emerging and novel pathogens that may go undetected by traditional diagnostics frequently arise. Deep sequencing using devices from Oxford Nanopore Technologies (ONT) provides a solution, as the long read lengths achievable provide species-level taxonomic identification of pathogens that previous short-read technologies could not accomplish. We developed a protocol using ONT' MinION sequencer to accurately detect and classify a wide spectrum of VBB from canine blood at a sensitivity comparable to that of regularly used diagnostics, such as qPCR. This protocol demonstrates great potential for use in biosurveillance and biosecurity operations for the detection of VBB in a range of vertebrate hosts, while the MinION sequencer's portability allows this method to be used easily in the field.
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Affiliation(s)
- Lucas G. Huggins
- Faculty of Veterinary and Agricultural Sciences, University of Melbourne, Parkville, Victoria, Australia
| | - Vito Colella
- Faculty of Veterinary and Agricultural Sciences, University of Melbourne, Parkville, Victoria, Australia
| | - Ushani Atapattu
- Faculty of Veterinary and Agricultural Sciences, University of Melbourne, Parkville, Victoria, Australia
| | - Anson V. Koehler
- Faculty of Veterinary and Agricultural Sciences, University of Melbourne, Parkville, Victoria, Australia
| | - Rebecca J. Traub
- Faculty of Veterinary and Agricultural Sciences, University of Melbourne, Parkville, Victoria, Australia
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Jitvaropas R, Mayuramart O, Sawaswong V, Kaewsapsak P, Payungporn S. Classification of salivary bacteriome in asymptomatic COVID-19 cases based on long-read nanopore sequencing. Exp Biol Med (Maywood) 2022; 247:1937-1946. [PMID: 36082397 PMCID: PMC9742750 DOI: 10.1177/15353702221118091] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/08/2023] Open
Abstract
The coronavirus (COVID-19) global pandemic has impacted the health of almost everyone, including changes in their salivary microbiota. Since 2019, there has been an increase in the number of new COVID-19 cases in Thailand. Therefore, COVID-19 active case finding is important for early detection and epidemic control. Moreover, the dynamic changes of salivary bacteriome in asymptomatic COVID-19 cases are largely unknown. This research aimed to investigate and compare the salivary bacteriome and the co-infectious bacterial pathogens in the asymptomatic COVID-19 positive group to the negative group, based on novel nanopore sequencing. This cohort was a cross-sectional study including saliva samples collected from 82 asymptomatic participants (39 COVID-19 positive and 43 COVID-19 negative cases). All samples were sequenced for the full-length bacterial 16S rDNA. The alpha and beta diversity analyses were not significantly different between groups. The three major species in salivary bacteriome including Veillonella parvula, Streptococcus mitis, and Prevotella melaninogenica were observed in both groups. Interestingly, Lautropia mirabilis was a significantly enriched species in the saliva of the asymptomatic COVID-19-positive cases based on linear discriminant analysis effect size (LEfSe) analysis. The results suggested that L. mirabilis was a co-infectious agent in the asymptomatic COVID-19 group. However, the potential role of L. mirabilis should be validated in further experimental studies.
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Affiliation(s)
- Rungrat Jitvaropas
- Division of Biochemistry, Department of Preclinical Science, Faculty of Medicine, Thammasat University, Pathum Thani 10120, Thailand
| | - Oraphan Mayuramart
- Research Unit of Systems Microbiology, Faculty of Medicine, Chulalongkorn University, Bangkok 10330, Thailand
| | - Vorthon Sawaswong
- Program in Bioinformatics and Computational Biology, Graduate School, Chulalongkorn University, Bangkok 10330, Thailand
| | - Pornchai Kaewsapsak
- Research Unit of Systems Microbiology, Faculty of Medicine, Chulalongkorn University, Bangkok 10330, Thailand,Department of Biochemistry, Faculty of Medicine, Chulalongkorn University, Bangkok 10330, Thailand
| | - Sunchai Payungporn
- Research Unit of Systems Microbiology, Faculty of Medicine, Chulalongkorn University, Bangkok 10330, Thailand,Department of Biochemistry, Faculty of Medicine, Chulalongkorn University, Bangkok 10330, Thailand,Sunchai Payungporn.
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Rodríguez-Pérez H, Ciuffreda L, Flores C. NanoRTax, a real-time pipeline for taxonomic and diversity analysis of nanopore 16S rRNA amplicon sequencing data. Comput Struct Biotechnol J 2022; 20:5350-5354. [PMID: 36212537 PMCID: PMC9522874 DOI: 10.1016/j.csbj.2022.09.024] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/21/2022] [Revised: 09/16/2022] [Accepted: 09/16/2022] [Indexed: 11/05/2022] Open
Abstract
Background The study of microbial communities and their applications have been leveraged by advances in sequencing techniques and bioinformatics tools. The Oxford Nanopore Technologies long-read sequencing by nanopores provides a portable and cost-efficient platform for sequencing assays. While this opens the possibility of sequencing applications outside specialized environments and real-time analysis of data, complementing the existing efficient library preparation protocols with streamlined bioinformatic workflows is required. Results Here we present NanoRTax, a Nextflow pipeline for nanopore 16S rRNA gene amplicon data that features state-of-the-art taxonomic classification tools and real-time capability. The pipeline is paired with a web-based visual interface to enable user-friendly inspections of the experiment in progress. NanoRTax workflow and a simulated real-time analysis were used to validate the prediction of adult Intensive Care Unit patient mortality based on full-length 16S rRNA sequencing data from respiratory microbiome samples. Conclusions This constitutes a proof-of-concept simulation study of how real-time bioinformatic workflows could be used to shorten the turnaround times in critical care settings and provides an instrument for future research on early-response strategies for sepsis.
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Affiliation(s)
- Héctor Rodríguez-Pérez
- Research Unit, Hospital Universitario Nuestra Señora de Candelaria, Santa Cruz de Tenerife 38010, Spain
| | - Laura Ciuffreda
- Research Unit, Hospital Universitario Nuestra Señora de Candelaria, Santa Cruz de Tenerife 38010, Spain
| | - Carlos Flores
- Research Unit, Hospital Universitario Nuestra Señora de Candelaria, Santa Cruz de Tenerife 38010, Spain
- CIBER de Enfermedades Respiratorias, Instituto de Salud Carlos III, Madrid 28029, Spain
- Genomics Division, Instituto Tecnológico y de Energías Renovables (ITER), 38600 Granadilla, Santa Cruz de Tenerife, Spain
- Facultad de Ciencias de la Salud, Universidad Fernando de Pessoa Canarias, 35450 Las Palmas de Gran Canaria, Spain
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Beale DJ, Bissett A, Nilsson S, Bose U, Nelis JLD, Nahar A, Smith M, Gonzalez-Astudillo V, Braun C, Baddiley B, Vardy S. Perturbation of the gut microbiome in wild-caught freshwater turtles (Emydura macquarii macquarii) exposed to elevated PFAS levels. THE SCIENCE OF THE TOTAL ENVIRONMENT 2022; 838:156324. [PMID: 35654195 DOI: 10.1016/j.scitotenv.2022.156324] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/19/2022] [Revised: 05/23/2022] [Accepted: 05/25/2022] [Indexed: 06/15/2023]
Abstract
Per- and polyfluoroalkyl substances (PFAS) are environmentally persistent and pervasive. Understanding the toxicity of PFAS to wildlife is difficult, both due to the complexity of biotic and abiotic perturbations in the taxa under study and the practical and ethical problems associated with studying the impacts of environmental pollutants on free living wildlife. One avenue of inquiry into the effects of environmental pollutants, such as PFAS, is assessing the impact on the host gut microbiome. Here we show the microbial composition and biochemical functional outputs from the gut microbiome of sampled faeces from euthanised and necropsied wild-caught freshwater turtles (Emydura macquarii macquarii) exposed to elevated PFAS levels. The microbial community composition was profiled by 16S rRNA gene sequencing using a Nanopore MinION and the biochemical functional outputs of the gut microbiome were profiled using a combination of targeted central carbon metabolism metabolomics using liquid chromatography coupled to a triple quadrupole mass spectrometer (LC-QqQ-MS) and untargeted metabolomics using liquid chromatography coupled to a quadrupole time of flight mass spectrometer (LC-QToF-MS). Total PFAS was measured in the turtle serum using standard methods. These preliminary data demonstrated a 60-fold PFAS increase in impacted turtles compared to the sampled aquatic environment. The microbiome community was also impacted in the PFAS exposed turtles, with the ratio of Firmicutes-to-Bacteroidetes rising from 1.4 at the reference site to 5.5 at the PFAS impacted site. This ratio increase is indicative of host stress and dysfunction of the gut microbiome that was correlated with the biochemical metabolic function data, metabolites observed that are indications of stress and inflammation in the gut microbiome. Utilising the gut microbiome of sampled faeces collected from freshwater turtles provides a non-destructive avenue for investigating the impacts of PFAS in native wildlife, and provides an avenue to explore other contaminants in higher-order taxa within the environment.
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Affiliation(s)
- David J Beale
- Land and Water, Commonwealth Scientific and Industrial Research Organisation, Ecosciences Precinct, Dutton Park, QLD 4102, Australia.
| | - Andrew Bissett
- Oceans and Atmosphere, Commonwealth Scientific and Industrial Research Organisation, Battery Point, TAS 7004, Australia
| | - Sandra Nilsson
- Queensland Alliance for Environmental Health Sciences (QAEHS), The University of Queensland, Woolloongabba, QLD 4102, Australia
| | - Utpal Bose
- Agriculture and Food, Commonwealth Scientific and Industrial Research Organisation, Queensland Bioscience Precinct, St Lucia, QLD 4067, Australia
| | - Joost Laurus Dinant Nelis
- Agriculture and Food, Commonwealth Scientific and Industrial Research Organisation, Queensland Bioscience Precinct, St Lucia, QLD 4067, Australia
| | - Akhikun Nahar
- Land and Water, Commonwealth Scientific and Industrial Research Organisation, Research and Innovation Park, Acton, ACT 2601, Australia
| | - Matthew Smith
- National Collections and Marine Infrastructure (NCMI), Commonwealth Scientific and Industrial Research Organisation, Battery Point, TAS 7004, Australia
| | | | - Christoph Braun
- Water Quality and Investigation, Science and Technology Division, Department of Environment and Science, Queensland Government, Dutton Park, QLD 4102, Australia
| | - Brenda Baddiley
- Water Quality and Investigation, Science and Technology Division, Department of Environment and Science, Queensland Government, Dutton Park, QLD 4102, Australia
| | - Suzanne Vardy
- Water Quality and Investigation, Science and Technology Division, Department of Environment and Science, Queensland Government, Dutton Park, QLD 4102, Australia
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Oral Microbiome in Orthodontic Acrylic Retainer. Polymers (Basel) 2022; 14:polym14173583. [PMID: 36080658 PMCID: PMC9459992 DOI: 10.3390/polym14173583] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/05/2022] [Revised: 08/21/2022] [Accepted: 08/23/2022] [Indexed: 11/17/2022] Open
Abstract
The oral microbiome can be shifted if the patients wear the acrylic retainers for a lengthy period. It is essential to understand the components of the plaque in order to forestall the development of dental caries and gingivitis. The aim of this study is to report the bacterial communities that adhere to the acrylic retainers by full-length nanopore 16S sequencing. Six healthy participants were allocated into 2 groups (chemical tablet and brushing groups). Plaque samples were collected from the acrylic retainer surfaces before and after cleaning. The bacterial communities were reported using full-length nanopore 16S sequencing. The results showed that 7 distinct phyla were identified by sequencing. The most prevalent of these was the Firmicutes. We found a total of 72 genera. The most common microorganism across all samples was Streptococcus, followed by Neisseria, Rothia, and Gemella. The beta diversity showed a significant difference between before and after cleaning (p < 0.05). This study revealed the novel finding that a combination of chemical and mechanical cleaning methods was the most effective method of eliminating retainer biofilms. Moreover, retainer cleaning tablets did not alter the homeostatic balance of the bacterial communities adhering to the acrylic retainers.
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Curry KD, Wang Q, Nute MG, Tyshaieva A, Reeves E, Soriano S, Wu Q, Graeber E, Finzer P, Mendling W, Savidge T, Villapol S, Dilthey A, Treangen TJ. Emu: species-level microbial community profiling of full-length 16S rRNA Oxford Nanopore sequencing data. Nat Methods 2022; 19:845-853. [PMID: 35773532 PMCID: PMC9939874 DOI: 10.1038/s41592-022-01520-4] [Citation(s) in RCA: 54] [Impact Index Per Article: 27.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2021] [Accepted: 05/10/2022] [Indexed: 12/12/2022]
Abstract
16S ribosomal RNA-based analysis is the established standard for elucidating the composition of microbial communities. While short-read 16S rRNA analyses are largely confined to genus-level resolution at best, given that only a portion of the gene is sequenced, full-length 16S rRNA gene amplicon sequences have the potential to provide species-level accuracy. However, existing taxonomic identification algorithms are not optimized for the increased read length and error rate often observed in long-read data. Here we present Emu, an approach that uses an expectation-maximization algorithm to generate taxonomic abundance profiles from full-length 16S rRNA reads. Results produced from simulated datasets and mock communities show that Emu is capable of accurate microbial community profiling while obtaining fewer false positives and false negatives than alternative methods. Additionally, we illustrate a real-world application of Emu by comparing clinical sample composition estimates generated by an established whole-genome shotgun sequencing workflow with those returned by full-length 16S rRNA gene sequences processed with Emu.
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Affiliation(s)
- Kristen D. Curry
- Rice University, Department of Computer Science, Houston, TX, USA,Corresponding authors: , ,
| | - Qi Wang
- Rice University, Department of Systems, Synthetic, and Physical Biology Science, Houston, TX, USA
| | - Michael G. Nute
- Rice University, Department of Computer Science, Houston, TX, USA
| | - Alona Tyshaieva
- Institute of Medical Microbiology and Hospital Hygiene, Heinrich Heine University Düsseldorf, Düsseldorf, Germany
| | - Elizabeth Reeves
- Rice University, Department of Computer Science, Houston, TX, USA
| | - Sirena Soriano
- Houston Methodist Research Institute, Center for Neuroregeneration, Houston, TX, USA
| | - Qinglong Wu
- Baylor College of Medicine, Department of Pathology and Immunology, Houston, TX, USA,Texas Children’s Microbiome Center, Department of Pathology, Texas Children’s Hospital, Houston, Texas, USA
| | - Enid Graeber
- Rice University, Department of Systems, Synthetic, and Physical Biology Science, Houston, TX, USA
| | - Patrick Finzer
- Rice University, Department of Systems, Synthetic, and Physical Biology Science, Houston, TX, USA
| | - Werner Mendling
- German Center for Infections in Gynaecology and Obstetrics at Helios University Clinic Wuppertal, Wuppertal, Germany
| | - Tor Savidge
- Baylor College of Medicine, Department of Pathology and Immunology, Houston, TX, USA,Texas Children’s Microbiome Center, Department of Pathology, Texas Children’s Hospital, Houston, Texas, USA
| | - Sonia Villapol
- Houston Methodist Research Institute, Center for Neuroregeneration, Houston, TX, USA
| | - Alexander Dilthey
- Institute of Medical Microbiology and Hospital Hygiene, Heinrich Heine University Düsseldorf, Düsseldorf, Germany.
| | - Todd J. Treangen
- Rice University, Department of Computer Science, Houston, TX, USA,Corresponding authors: , ,
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43
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PIMGAVir and Vir-MinION: Two Viral Metagenomic Pipelines for Complete Baseline Analysis of 2nd and 3rd Generation Data. Viruses 2022; 14:v14061260. [PMID: 35746732 PMCID: PMC9230805 DOI: 10.3390/v14061260] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2022] [Revised: 05/31/2022] [Accepted: 06/03/2022] [Indexed: 11/16/2022] Open
Abstract
The taxonomic classification of viral sequences is frequently used for the rapid identification of pathogens, which is a key point for when a viral outbreak occurs. Both Oxford Nanopore Technologies (ONT) MinION and the Illumina (NGS) technology provide efficient methods to detect viral pathogens. Despite the availability of many strategies and software, matching them can be a very tedious and time-consuming task. As a result, we developed PIMGAVir and Vir-MinION, two metagenomics pipelines that automatically provide the user with a complete baseline analysis. The PIMGAVir and Vir-MinION pipelines work on 2nd and 3rd generation data, respectively, and provide the user with a taxonomic classification of the reads through three strategies: assembly-based, read-based, and clustering-based. The pipelines supply the scientist with comprehensive results in graphical and textual format for future analyses. Finally, the pipelines equip the user with a stand-alone platform with dedicated and various viral databases, which is a requirement for working in field conditions without internet connection.
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44
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Tay DD, Siew SW, Shamzir Kamal S, Razali MN, Ahmad HF. ITS1 amplicon sequencing of feline gut mycobiome of Malaysian local breeds using Nanopore Flongle. Arch Microbiol 2022; 204:314. [PMID: 35545729 DOI: 10.1007/s00203-022-02929-3] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/17/2022] [Accepted: 04/18/2022] [Indexed: 11/02/2022]
Abstract
The gut mycobiome exhibits major influence on the gastrointestinal health and disease but received less attention due to low abundance. This study characterizes the fungal community and compares the microbial diversity between indoor and outdoor cats. Genomic DNA was extracted and sequenced by targeting the Internal Transcribed Spacer 1 (ITS1) region using Flongle flow cell on MinION™ sequencing platform. Results show the phylum Ascomycota and genus Peniophorella were numerous in indoor cats, whereas the Basidiomycota and Pichia were abundant in outdoor cats. Peniophorella formed the core mycobiome in both feline populations. Furthermore, alpha (p value = 0.0207) and beta diversities (p value = 0.009) results showed significant differences between the two groups. Overall, indoor cats have greater amounts of Peniophorella, whereas outdoor cats have higher Trichosporon and unclassified Sordariaceae. The study also suggests that keeping a cat indoors or left as a stray will affect their respective gut mycobiome.
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Affiliation(s)
- Darren Dean Tay
- Faculty of Industrial Sciences and Technology, Universiti Malaysia Pahang, Lebuhraya Tun Razak, 26300, Gambang, Pahang, Malaysia
| | - Shing Wei Siew
- Faculty of Industrial Sciences and Technology, Universiti Malaysia Pahang, Lebuhraya Tun Razak, 26300, Gambang, Pahang, Malaysia
| | - Shamrulazhar Shamzir Kamal
- Faculty of Industrial Sciences and Technology, Universiti Malaysia Pahang, Lebuhraya Tun Razak, 26300, Gambang, Pahang, Malaysia
| | - Mohd Najib Razali
- Faculty of Chemical and Process Engineering Technology, Universiti Malaysia Pahang, Lebuhraya Tun Razak, 26300, Gambang, Pahang, Malaysia.,MNR Multitech Sdn. Bhd, UMP Holdings Complex, Lebuhraya Tun Razak, 26300, Gambang, Pahang, Malaysia
| | - Hajar Fauzan Ahmad
- Faculty of Industrial Sciences and Technology, Universiti Malaysia Pahang, Lebuhraya Tun Razak, 26300, Gambang, Pahang, Malaysia. .,Centre for Research in Advanced Tropical Bioscience (Biotropic Centre), Lebuhraya Tun Razak, 26300, Gambang, Pahang, Malaysia.
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45
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Seol D, Lim JS, Sung S, Lee YH, Jeong M, Cho S, Kwak W, Kim H. Microbial Identification Using rRNA Operon Region: Database and Tool for Metataxonomics with Long-Read Sequence. Microbiol Spectr 2022; 10:e0201721. [PMID: 35352997 PMCID: PMC9045266 DOI: 10.1128/spectrum.02017-21] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/23/2021] [Accepted: 03/02/2022] [Indexed: 12/24/2022] Open
Abstract
Recent development of long-read sequencing platforms has enabled researchers to explore bacterial community structure through analysis of full-length 16S rRNA gene (∼1,500 bp) or 16S-ITS-23S rRNA operon region (∼4,300 bp), resulting in higher taxonomic resolution than short-read sequencing platforms. Despite the potential of long-read sequencing in metagenomics, resources and protocols for this technology are scarce. Here, we describe MIrROR, the database and analysis tool for metataxonomics using the bacterial 16S-ITS-23S rRNA operon region. We collected 16S-ITS-23S rRNA operon sequences extracted from bacterial genomes from NCBI GenBank and performed curation. A total of 97,781 16S-ITS-23S rRNA operon sequences covering 9,485 species from 43,653 genomes were obtained. For user convenience, we provide an analysis tool based on a mapping strategy that can be used for taxonomic profiling with MIrROR database. To benchmark MIrROR, we compared performance against publicly available databases and tool with mock communities and simulated data sets. Our platform showed promising results in terms of the number of species covered and the accuracy of classification. To encourage active 16S-ITS-23S rRNA operon analysis in the field, BLAST function and taxonomic profiling results with 16S-ITS-23S rRNA operon studies, which have been reported as BioProject on NCBI are provided. MIrROR (http://mirror.egnome.co.kr/) will be a useful platform for researchers who want to perform high-resolution metagenome analysis with a cost-effective sequencer such as MinION from Oxford Nanopore Technologies. IMPORTANCE Metabarcoding is a powerful tool to investigate community diversity in an economic and efficient way by amplifying a specific gene marker region. With the advancement of long-read sequencing technologies, the field of metabarcoding has entered a new phase. The technologies have brought a need for development in several areas, including new markers that long-read can cover, database for the markers, tools that reflect long-read characteristics, and compatibility with downstream analysis tools. By constructing MIrROR, we met the need for a database and tools for the 16S-ITS-23S rRNA operon region, which has recently been shown to have sufficient resolution at the species level. Bacterial community analysis using the 16S-ITS-23S rRNA operon region with MIrROR will provide new insights from various research fields.
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Affiliation(s)
- Donghyeok Seol
- eGnome, Inc, Seoul, Republic of Korea
- Department of Agricultural Biotechnology and Research Institute of Agriculture and Life Sciences, Seoul National University, Seoul, Republic of Korea
| | - Jin Soo Lim
- Department of Agricultural Biotechnology and Research Institute of Agriculture and Life Sciences, Seoul National University, Seoul, Republic of Korea
| | | | - Young Ho Lee
- Interdisciplinary Program in Bioinformatics, Seoul National University, Seoul, Republic of Korea
| | | | - Seoae Cho
- eGnome, Inc, Seoul, Republic of Korea
| | - Woori Kwak
- eGnome, Inc, Seoul, Republic of Korea
- Hoonygen, Seoul, Republic of Korea
- Gencube Plus, Seoul, Republic of Korea
| | - Heebal Kim
- eGnome, Inc, Seoul, Republic of Korea
- Department of Agricultural Biotechnology and Research Institute of Agriculture and Life Sciences, Seoul National University, Seoul, Republic of Korea
- Interdisciplinary Program in Bioinformatics, Seoul National University, Seoul, Republic of Korea
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46
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Gehrig JL, Portik DM, Driscoll MD, Jackson E, Chakraborty S, Gratalo D, Ashby M, Valladares R. Finding the right fit: evaluation of short-read and long-read sequencing approaches to maximize the utility of clinical microbiome data. Microb Genom 2022; 8:000794. [PMID: 35302439 PMCID: PMC9176275 DOI: 10.1099/mgen.0.000794] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/04/2023] Open
Abstract
A long-standing challenge in human microbiome research is achieving the taxonomic and functional resolution needed to generate testable hypotheses about the gut microbiota's impact on health and disease. With a growing number of live microbial interventions in clinical development, this challenge is renewed by a need to understand the pharmacokinetics and pharmacodynamics of therapeutic candidates. While short-read sequencing of the bacterial 16S rRNA gene has been the standard for microbiota profiling, recent improvements in the fidelity of long-read sequencing underscores the need for a re-evaluation of the value of distinct microbiome-sequencing approaches. We leveraged samples from participants enrolled in a phase 1b clinical trial of a novel live biotherapeutic product to perform a comparative analysis of short-read and long-read amplicon and metagenomic sequencing approaches to assess their utility for generating clinical microbiome data. Across all methods, overall community taxonomic profiles were comparable and relationships between samples were conserved. Comparison of ubiquitous short-read 16S rRNA amplicon profiling to long-read profiling of the 16S-ITS-23S rRNA amplicon showed that only the latter provided strain-level community resolution and insight into novel taxa. All methods identified an active ingredient strain in treated study participants, though detection confidence was higher for long-read methods. Read coverage from both metagenomic methods provided evidence of active-ingredient strain replication in some treated participants. Compared to short-read metagenomics, approximately twice the proportion of long reads were assigned functional annotations. Finally, compositionally similar bacterial metagenome-assembled genomes (MAGs) were recovered from short-read and long-read metagenomic methods, although a greater number and more complete MAGs were recovered from long reads. Despite higher costs, both amplicon and metagenomic long-read approaches yielded added microbiome data value in the form of higher confidence taxonomic and functional resolution and improved recovery of microbial genomes compared to traditional short-read methodologies.
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Affiliation(s)
| | | | | | - Eric Jackson
- Shoreline Biome, 400 Farmington Ave, Farmington, CT 06032, USA
| | | | - Dawn Gratalo
- Shoreline Biome, 400 Farmington Ave, Farmington, CT 06032, USA
| | - Meredith Ashby
- Pacific Biosciences, 1305 O’Brien Dr, Menlo Park, CA 93025, USA
| | - Ricardo Valladares
- Siolta Therapeutics, 930 Brittan Ave, San Carlos, CA 94070, USA
- *Correspondence: Ricardo Valladares,
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47
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Vierstraete AR, Braeckman BP. Amplicon_sorter: A tool for reference‐free amplicon sorting based on sequence similarity and for building consensus sequences. Ecol Evol 2022; 12:e8603. [PMID: 35261737 PMCID: PMC8888255 DOI: 10.1002/ece3.8603] [Citation(s) in RCA: 16] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/16/2021] [Revised: 01/12/2022] [Accepted: 01/18/2022] [Indexed: 11/23/2022] Open
Abstract
Oxford Nanopore Technologies (ONT) is a third‐generation sequencing technology that is gaining popularity in ecological research for its portable and low‐cost sequencing possibilities. Although the technology excels at long‐read sequencing, it can also be applied to sequence amplicons. The downside of ONT is the low quality of the raw reads. Hence, generating a high‐quality consensus sequence is still a challenge. We present Amplicon_sorter, a tool for reference‐free sorting of ONT sequenced amplicons based on their similarity in sequence and length and for building solid consensus sequences.
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Affiliation(s)
- Andy R. Vierstraete
- Laboratory of aging physiology and Molecular Evolution University of Gent Gent Belgium
| | - Bart P. Braeckman
- Laboratory of aging physiology and Molecular Evolution University of Gent Gent Belgium
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48
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Latorre-Pérez A, Gimeno-Valero H, Tanner K, Pascual J, Vilanova C, Porcar M. A Round Trip to the Desert: In situ Nanopore Sequencing Informs Targeted Bioprospecting. Front Microbiol 2021; 12:768240. [PMID: 34966365 PMCID: PMC8710813 DOI: 10.3389/fmicb.2021.768240] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2021] [Accepted: 11/15/2021] [Indexed: 12/26/2022] Open
Abstract
Bioprospecting expeditions are often performed in remote locations, in order to access previously unexplored samples. Nevertheless, the actual potential of those samples is only assessed once scientists are back in the laboratory, where a time-consuming screening must take place. This work evaluates the suitability of using Nanopore sequencing during a journey to the Tabernas Desert (Spain) for forecasting the potential of specific samples in terms of bacterial diversity and prevalence of radiation- and desiccation-resistant taxa, which were the target of the bioprospecting activities. Samples collected during the first day were analyzed through 16S rRNA gene sequencing using a mobile laboratory. Results enabled the identification of locations showing the greatest and the least potential, and a second, informed sampling was performed focusing on those sites. After finishing the expedition, a culture collection of 166 strains belonging to 50 different genera was established. Overall, Nanopore and culturing data correlated well, since samples holding a greater potential at the microbiome level also yielded a more interesting set of microbial isolates, whereas samples showing less biodiversity resulted in a reduced (and redundant) set of culturable bacteria. Thus, we anticipate that portable sequencers hold potential as key, easy-to-use tools for in situ-informed bioprospecting strategies.
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Affiliation(s)
| | | | | | | | | | - Manuel Porcar
- Darwin Bioprospecting Excellence S.L., Paterna, Spain
- Institute for Integrative Systems Biology I2SysBio (University of València-CSIC), Paterna, Spain
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49
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The clinical utility of two high-throughput 16S rRNA gene sequencing workflows for taxonomic assignment of unidentifiable bacterial pathogens in MALDI-TOF MS. J Clin Microbiol 2021; 60:e0176921. [PMID: 34788113 PMCID: PMC8769742 DOI: 10.1128/jcm.01769-21] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Abstract
Bacterial pathogens that cannot be identified using matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF MS) are occasionally encountered in clinical laboratories. The 16S rRNA gene is often used for sequence-based analysis to identify these bacterial species. Nevertheless, traditional Sanger sequencing is laborious, time-consuming and low-throughput. Here, we compared two commercially available 16S rRNA gene sequencing tests, which are based on Illumina and Nanopore sequencing technologies, respectively, in their ability to identify the species of 172 clinical isolates that failed to be identified by MALDI-TOF MS. Sequencing data were analyzed by respective built-in programs (MiSeq Reporter Software of Illumina and Epi2me of Nanopore) and BLAST+ (v2.11.0). Their agreement with Sanger sequencing on species-level identification was determined. Discrepancies were resolved by whole-genome sequencing. The diagnostic accuracy of each workflow was determined using the composite sequencing result as the reference standard. Despite the high base-calling accuracy of Illumina sequencing, we demonstrated that the Nanopore workflow had a higher taxonomic resolution at the species level. Using built-in analysis algorithms, the concordance of Sanger 16S with the Illumina and Nanopore workflows was 33.14% and 87.79%, respectively. The agreement was 65.70% and 83.14%, respectively, when BLAST+ was used for analysis. Compared with the reference standard, the diagnostic accuracy of Nanopore 16S was 96.36%, which was identical to Sanger 16S and was better than Illumina 16S (69.07%). The turnaround time of the Illumina workflow and the Nanopore workflow was 78h and 8.25h respectively. The per-sample cost of the Illumina and Nanopore workflows was US$28.5 and US$17.7, respectively.
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50
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Ciuffreda L, Rodríguez-Pérez H, Flores C. Nanopore sequencing and its application to the study of microbial communities. Comput Struct Biotechnol J 2021; 19:1497-1511. [PMID: 33815688 PMCID: PMC7985215 DOI: 10.1016/j.csbj.2021.02.020] [Citation(s) in RCA: 89] [Impact Index Per Article: 29.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/18/2020] [Revised: 02/24/2021] [Accepted: 02/27/2021] [Indexed: 12/14/2022] Open
Abstract
Since its introduction, nanopore sequencing has enhanced our ability to study complex microbial samples through the possibility to sequence long reads in real time using inexpensive and portable technologies. The use of long reads has allowed to address several previously unsolved issues in the field, such as the resolution of complex genomic structures, and facilitated the access to metagenome assembled genomes (MAGs). Furthermore, the low cost and portability of platforms together with the development of rapid protocols and analysis pipelines have featured nanopore technology as an attractive and ever-growing tool for real-time in-field sequencing for environmental microbial analysis. This review provides an up-to-date summary of the experimental protocols and bioinformatic tools for the study of microbial communities using nanopore sequencing, highlighting the most important and recent research in the field with a major focus on infectious diseases. An overview of the main approaches including targeted and shotgun approaches, metatranscriptomics, epigenomics, and epitranscriptomics is provided, together with an outlook to the major challenges and perspectives over the use of this technology for microbial studies.
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Affiliation(s)
- Laura Ciuffreda
- Research Unit, Hospital Universitario N.S. de Candelaria, Universidad de La Laguna, 38010 Santa Cruz de Tenerife, Spain
| | - Héctor Rodríguez-Pérez
- Research Unit, Hospital Universitario N.S. de Candelaria, Universidad de La Laguna, 38010 Santa Cruz de Tenerife, Spain
| | - Carlos Flores
- Research Unit, Hospital Universitario N.S. de Candelaria, Universidad de La Laguna, 38010 Santa Cruz de Tenerife, Spain
- CIBER de Enfermedades Respiratorias, Instituto de Salud Carlos III, 28029 Madrid, Spain
- Genomics Division, Instituto Tecnológico y de Energías Renovables (ITER), 38600 Santa Cruz de Tenerife, Spain
- Instituto de Tecnologías Biomédicas (ITB), Universidad de La Laguna, 38200 Santa Cruz de Tenerife, Spain
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