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Chuzel L, Sinha A, Cunningham CV, Taron CH. High-throughput nanopore DNA sequencing of large insert fosmid clones directly from bacterial colonies. Appl Environ Microbiol 2024; 90:e0024324. [PMID: 38767355 DOI: 10.1128/aem.00243-24] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2024] [Accepted: 04/21/2024] [Indexed: 05/22/2024] Open
Abstract
Fosmids and cosmids are vectors frequently used in functional metagenomic studies. With a large insert capacity (around 30 kb) they can encode dozens of cloned genes or in some cases, entire biochemical pathways. Fosmids with cloned inserts can be transferred to heterologous hosts and propagated to enable screening for new enzymes and metabolites. After screening, fosmids from clones with an activity of interest must be de novo sequenced, a critical step toward the identification of the gene(s) of interest. In this work, we present a new approach for rapid and high-throughput fosmid sequencing directly from Escherichia coli colonies without liquid culturing or fosmid purification. Our sample preparation involves fosmid amplification with phi29 polymerase and then direct nanopore sequencing using the Oxford Nanopore Technologies system. We also present a bioinformatics pipeline termed "phiXXer" that facilitates both de novo read assembly and vector trimming to generate a linear sequence of the fosmid insert. Finally, we demonstrate the accurate sequencing of 96 fosmids in a single run and validate the method using two fosmid libraries that contain cloned large insert (~30-40 kb) genomic or metagenomic DNA.IMPORTANCELarge-insert clone (fosmids or cosmids) sequencing is challenging and arguably the most limiting step of functional metagenomic screening workflows. Our study establishes a new method for high-throughput nanopore sequencing of fosmid clones directly from lysed Escherichia coli cells. It also describes a companion bioinformatic pipeline that enables de novo assembly of fosmid DNA insert sequences. The devised method widens the potential of functional metagenomic screening by providing a simple, high-throughput approach to fosmid clone sequencing that dramatically speeds the pace of discovery.
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Affiliation(s)
- Léa Chuzel
- New England Biolabs, Ipswich, Massachusetts, USA
| | - Amit Sinha
- New England Biolabs, Ipswich, Massachusetts, USA
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Ninck S, Klaus T, Kochetkova TV, Esser SP, Sewald L, Kaschani F, Bräsen C, Probst AJ, Kublanov IV, Siebers B, Kaiser M. Environmental activity-based protein profiling for function-driven enzyme discovery from natural communities. ENVIRONMENTAL MICROBIOME 2024; 19:36. [PMID: 38831353 PMCID: PMC11145796 DOI: 10.1186/s40793-024-00577-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/10/2024] [Accepted: 05/06/2024] [Indexed: 06/05/2024]
Abstract
BACKGROUND Microbial communities are important drivers of global biogeochemical cycles, xenobiotic detoxification, as well as organic matter decomposition. Their major metabolic role in ecosystem functioning is ensured by a unique set of enzymes, providing a tremendous yet mostly hidden enzymatic potential. Exploring this enzymatic repertoire is therefore not only relevant for a better understanding of how microorganisms function in their natural environment, and thus for ecological research, but further turns microbial communities, in particular from extreme habitats, into a valuable resource for the discovery of novel enzymes with potential applications in biotechnology. Different strategies for their uncovering such as bioprospecting, which relies mainly on metagenomic approaches in combination with sequence-based bioinformatic analyses, have emerged; yet accurate function prediction of their proteomes and deciphering the in vivo activity of an enzyme remains challenging. RESULTS Here, we present environmental activity-based protein profiling (eABPP), a multi-omics approach that extends genome-resolved metagenomics with mass spectrometry-based ABPP. This combination allows direct profiling of environmental community samples in their native habitat and the identification of active enzymes based on their function, even without sequence or structural homologies to annotated enzyme families. eABPP thus bridges the gap between environmental genomics, correct function annotation, and in vivo enzyme activity. As a showcase, we report the successful identification of active thermostable serine hydrolases from eABPP of natural microbial communities from two independent hot springs in Kamchatka, Russia. CONCLUSIONS By reporting enzyme activities within an ecosystem in their native state, we anticipate that eABPP will not only advance current methodological approaches to sequence homology-guided enzyme discovery from environmental ecosystems for subsequent biocatalyst development but also contributes to the ecological investigation of microbial community interactions by dissecting their underlying molecular mechanisms.
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Affiliation(s)
- Sabrina Ninck
- Chemical Biology, Centre of Medical Biotechnology (ZMB), Faculty of Biology, University of Duisburg-Essen, Universitätsstr. 2, 45117, Essen, Germany.
| | - Thomas Klaus
- Molecular Enzyme Technology and Biochemistry, Environmental Microbiology and Biotechnology (EMB), Centre for Water and Environmental Research (CWE), Faculty of Chemistry, University of Duisburg-Essen, Universitätsstr. 5, 45117, Essen, Germany
| | - Tatiana V Kochetkova
- Winogradsky Institute of Microbiology, Research Center of Biotechnology, Russian Academy of Sciences, Prospekt 60-Let Oktyabrya 7-2, Moscow, 117312, Russia
| | - Sarah P Esser
- Environmental Metagenomics, Research Centre One Health Ruhr of the University Alliance Ruhr, Faculty of Chemistry, University of Duisburg-Essen, Universitätsstr. 5, 45117, Essen, Germany
| | - Leonard Sewald
- Chemical Biology, Centre of Medical Biotechnology (ZMB), Faculty of Biology, University of Duisburg-Essen, Universitätsstr. 2, 45117, Essen, Germany
| | - Farnusch Kaschani
- Chemical Biology, Centre of Medical Biotechnology (ZMB), Faculty of Biology, University of Duisburg-Essen, Universitätsstr. 2, 45117, Essen, Germany
| | - Christopher Bräsen
- Molecular Enzyme Technology and Biochemistry, Environmental Microbiology and Biotechnology (EMB), Centre for Water and Environmental Research (CWE), Faculty of Chemistry, University of Duisburg-Essen, Universitätsstr. 5, 45117, Essen, Germany
| | - Alexander J Probst
- Environmental Metagenomics, Research Centre One Health Ruhr of the University Alliance Ruhr, Faculty of Chemistry, University of Duisburg-Essen, Universitätsstr. 5, 45117, Essen, Germany
- Centre for Water and Environmental Research (CWE), University of Duisburg-Essen, Universitätsstr. 2, 45117, Essen, Germany
- Centre of Medical Biotechnology (ZMB), University of Duisburg-Essen, Universitätsstr. 2, 45117, Essen, Germany
| | - Ilya V Kublanov
- Winogradsky Institute of Microbiology, Research Center of Biotechnology, Russian Academy of Sciences, Prospekt 60-Let Oktyabrya 7-2, Moscow, 117312, Russia
| | - Bettina Siebers
- Molecular Enzyme Technology and Biochemistry, Environmental Microbiology and Biotechnology (EMB), Centre for Water and Environmental Research (CWE), Faculty of Chemistry, University of Duisburg-Essen, Universitätsstr. 5, 45117, Essen, Germany.
| | - Markus Kaiser
- Chemical Biology, Centre of Medical Biotechnology (ZMB), Faculty of Biology, University of Duisburg-Essen, Universitätsstr. 2, 45117, Essen, Germany.
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Jeilu O, Alexandersson E, Johansson E, Simachew A, Gessesse A. A novel GH3-β-glucosidase from soda lake metagenomic libraries with desirable properties for biomass degradation. Sci Rep 2024; 14:10012. [PMID: 38693138 PMCID: PMC11063200 DOI: 10.1038/s41598-024-60645-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/16/2023] [Accepted: 04/25/2024] [Indexed: 05/03/2024] Open
Abstract
Beta-glucosidases catalyze the hydrolysis of the glycosidic bonds of cellobiose, producing glucose, which is a rate-limiting step in cellulose biomass degradation. In industrial processes, β-glucosidases that are tolerant to glucose and stable under harsh industrial reaction conditions are required for efficient cellulose hydrolysis. In this study, we report the molecular cloning, Escherichia coli expression, and functional characterization of a β-glucosidase from the gene, CelGH3_f17, identified from metagenomics libraries of an Ethiopian soda lake. The CelGH3_f17 gene sequence contains a glycoside hydrolase family 3 catalytic domain (GH3). The heterologous expressed and purified enzyme exhibited optimal activity at 50 °C and pH 8.5. In addition, supplementation of 1 M salt and 300 mM glucose enhanced the β-glucosidase activity. Most of the metal ions and organic solvents tested did not affect the β-glucosidase activity. However, Cu2+ and Mn2+ ions, Mercaptoethanol and Triton X-100 reduce the activity of the enzyme. The studied β-glucosidase enzyme has multiple industrially desirable properties including thermostability, and alkaline, salt, and glucose tolerance.
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Affiliation(s)
- Oliyad Jeilu
- Department of Plant Breeding, Swedish University of Agricultural Sciences, Box 190, 23422, Lomma, Sweden.
- Department of Civil and Environmental Engineering, Northwestern University, Evanston, IL, 60208, USA.
- Institute of Biotechnology, Addis Ababa University, P O Box 1176, Addis Ababa, Ethiopia.
| | - Erik Alexandersson
- Department of Plant Breeding, Swedish University of Agricultural Sciences, Box 190, 23422, Lomma, Sweden
| | - Eva Johansson
- Department of Plant Breeding, Swedish University of Agricultural Sciences, Box 190, 23422, Lomma, Sweden
| | - Addis Simachew
- Institute of Biotechnology, Addis Ababa University, P O Box 1176, Addis Ababa, Ethiopia
| | - Amare Gessesse
- Institute of Biotechnology, Addis Ababa University, P O Box 1176, Addis Ababa, Ethiopia
- Department of Biological Sciences and Biotechnology, Botswana International University of Science and Technology, Private Bag 16, Palapye, Botswana
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4
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Seth N, Vats S, Lakhanpaul S, Arafat Y, Mazumdar-Leighton S, Bansal M, Babu CR. Microbial community diversity of an integrated constructed wetland used for treatment of sewage. Front Microbiol 2024; 15:1355718. [PMID: 38562473 PMCID: PMC10982315 DOI: 10.3389/fmicb.2024.1355718] [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: 12/14/2023] [Accepted: 03/04/2024] [Indexed: 04/04/2024] Open
Abstract
The microbial community diversity in Constructed Wetland System (CWS) plays a key role in the removal of pollutants from waste water. An integrated functional CWS developed at Neela Hauz Biodiversity Park, Delhi was selected to assess the diversity in composition and structure of microbial community diversity of sludge and sediment of CWS, based on metagenomic approach using 16S rRNA genes. The sediment showed higher diversity than sludge and both formed distinct clusters. The taxonomic structure of the microbial community of CWS is represented by 6,731 OTUs distributed among 2 kingdoms, 103 phyla, 227 classes, 337 orders, 320 families, 295 identified genera, and 84 identified species. The relative abundance of top 5 dominant phyla of sludge and sediment varied from 3.77% (Acidobacteria) to 35.33% (Proteobacteria) and 4.07% (Firmicutes) to 28.20% (Proteobacteria), respectively. The range of variation in relative abundance of top 5 dominant genera of sludge and sediment was 2.58% (Hyphomicrobium) to 6.61% (Planctomyces) and 2.47% (Clostridium) to 4.22% (Syntrophobacter), respectively. The rich microbial diversity of CWS makes it perform better in pollutants removal (59.91-95.76%) than other CWs. Based on the abundance values of taxa, the taxa are grouped under four frequency distribution classes-abundant (>20), common (10-19), rare (5-9), and very rare (1-4). The unique structure of microbial communities of integrated CWS is that the number of abundant taxa decreases in descending order of taxonomic hierarchy, while the number of rare and very rare taxa increases. For example, the number of abundant phyla was 14 and 21 in sludge and sediment, respectively and both communities have only 3 abundant genera each. This is in contrast to 4 and 17 very rare phyla in sludge and sediment, respectively and both the communities have 114 and 91 very rare genera, respectively. The outcomes of the study is that the integrated CWS has much higher microbial community diversity than the diversity reported for other CWs, and the rich diversity can be used for optimizing the performance efficiency of CWS in the removal of pollutants from waste water. Such structural diversity might be an adaptation to heterogeneous environment of CWS.
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Affiliation(s)
- Nidhi Seth
- Department of Computer Science, Banasthali Vidyapith, Vanasthali, India
- CEMDE, University of Delhi, New Delhi, India
| | - Sharad Vats
- Department of Biotechnology, Banasthali Vidyapith, Vanasthali, India
| | | | | | | | - Mansi Bansal
- Department of Botany, University of Delhi, New Delhi, India
| | - C. R. Babu
- CEMDE, University of Delhi, New Delhi, India
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Chakraborty N. Metabolites: a converging node of host and microbe to explain meta-organism. Front Microbiol 2024; 15:1337368. [PMID: 38505556 PMCID: PMC10949987 DOI: 10.3389/fmicb.2024.1337368] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2023] [Accepted: 02/13/2024] [Indexed: 03/21/2024] Open
Abstract
Meta-organisms encompassing the host and resident microbiota play a significant role in combatting diseases and responding to stress. Hence, there is growing traction to build a knowledge base about this ecosystem, particularly to characterize the bidirectional relationship between the host and microbiota. In this context, metabolomics has emerged as the major converging node of this entire ecosystem. Systematic comprehension of this resourceful omics component can elucidate the organism-specific response trajectory and the communication grid across the ecosystem embodying meta-organisms. Translating this knowledge into designing nutraceuticals and next-generation therapy are ongoing. Its major hindrance is a significant knowledge gap about the underlying mechanisms maintaining a delicate balance within this ecosystem. To bridge this knowledge gap, a holistic picture of the available information has been presented with a primary focus on the microbiota-metabolite relationship dynamics. The central theme of this article is the gut-brain axis and the participating microbial metabolites that impact cerebral functions.
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Affiliation(s)
- Nabarun Chakraborty
- Medical Readiness Systems Biology, CMPN, WRAIR, Silver Spring, MD, United States
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Parida D, Katare K, Ganguly A, Chakraborty D, Konar O, Nogueira R, Bala K. Molecular docking and metagenomics assisted mitigation of microplastic pollution. CHEMOSPHERE 2024; 351:141271. [PMID: 38262490 DOI: 10.1016/j.chemosphere.2024.141271] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/29/2023] [Revised: 01/18/2024] [Accepted: 01/19/2024] [Indexed: 01/25/2024]
Abstract
Microplastics, tiny, flimsy, and direct progenitors of principal and subsidiary plastics, cause environmental degradation in aquatic and terrestrial entities. Contamination concerns include irrevocable impacts, potential cytotoxicity, and negative health effects on mortals. The detection, recovery, and degradation strategies of these pollutants in various biota and ecosystems, as well as their impact on plants, animals, and humans, have been a topic of significant interest. But the natural environment is infested with several types of plastics, all having different chemical makeup, structure, shape, and origin. Plastic trash acts as a substrate for microbial growth, creating biofilms on the plastisphere surface. This colonizing microbial diversity can be glimpsed with meta-genomics, a culture-independent approach. Owing to its comprehensive description of microbial communities, genealogical evidence on unconventional biocatalysts or enzymes, genomic correlations, evolutionary profile, and function, it is being touted as one of the promising tools in identifying novel enzymes for the degradation of polymers. Additionally, computational tools such as molecular docking can predict the binding of these novel enzymes to the polymer substrate, which can be validated through in vitro conditions for its environmentally feasible applications. This review mainly deals with the exploration of metagenomics along with computational tools to provide a clearer perspective into the microbial potential in the biodegradation of microplastics. The computational tools due to their polymathic nature will be quintessential in identifying the enzyme structure, binding affinities of the prospective enzymes to the substrates, and foretelling of degradation pathways involved which can be quite instrumental in the furtherance of the plastic degradation studies.
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Affiliation(s)
- Dinesh Parida
- Department of Biosciences and Biomedical Engineering, Indian Institute of Technology, Indore, 453552, India.
| | - Konica Katare
- Department of Biosciences and Biomedical Engineering, Indian Institute of Technology, Indore, 453552, India.
| | - Atmaadeep Ganguly
- Department of Microbiology, Ramakrishna Mission Vivekananda Centenary College, West Bengal State University, Kolkata, 700118, India.
| | - Disha Chakraborty
- Department of Botany, Shri Shikshayatan College, University of Calcutta, Lord Sinha Road, Kolkata, 700071, India.
| | - Oisi Konar
- Department of Botany, Shri Shikshayatan College, University of Calcutta, Lord Sinha Road, Kolkata, 700071, India.
| | - Regina Nogueira
- Institute of Sanitary Engineering and Waste Management, Leibniz Universität, Hannover, Germany.
| | - Kiran Bala
- Department of Biosciences and Biomedical Engineering, Indian Institute of Technology, Indore, 453552, India.
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7
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Liuu S, Nepelska M, Pfister H, Gamelas Magalhaes J, Chevalier G, Strozzi F, Billerey C, Maresca M, Nicoletti C, Di Pasquale E, Pechard C, Bardouillet L, Girardin SE, Boneca IG, Doré J, Blottière HM, Bonny C, Chene L, Cultrone A. Identification of a muropeptide precursor transporter from gut microbiota and its role in preventing intestinal inflammation. Proc Natl Acad Sci U S A 2023; 120:e2306863120. [PMID: 38127978 PMCID: PMC10756304 DOI: 10.1073/pnas.2306863120] [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: 05/10/2023] [Accepted: 10/31/2023] [Indexed: 12/23/2023] Open
Abstract
The gut microbiota is a considerable source of biologically active compounds that can promote intestinal homeostasis and improve immune responses. Here, we used large expression libraries of cloned metagenomic DNA to identify compounds able to sustain an anti-inflammatory reaction on host cells. Starting with a screen for NF-κB activation, we have identified overlapping clones harbouring a heterodimeric ATP-binding cassette (ABC)-transporter from a Firmicutes. Extensive purification of the clone's supernatant demonstrates that the ABC-transporter allows for the efficient extracellular accumulation of three muropeptide precursor, with anti-inflammatory properties. They induce IL-10 secretion from human monocyte-derived dendritic cells and proved effective in reducing AIEC LF82 epithelial damage and IL-8 secretion in human intestinal resections. In addition, treatment with supernatants containing the muropeptide precursor reduces body weight loss and improves histological parameters in Dextran Sulfate Sodium (DSS)-treated mice. Until now, the source of peptidoglycan fragments was shown to come from the natural turnover of the peptidoglycan layer by endogenous peptidoglycan hydrolases. This is a report showing an ABC-transporter as a natural source of secreted muropeptide precursor and as an indirect player in epithelial barrier strengthening. The mechanism described here might represent an important component of the host immune homeostasis.
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Affiliation(s)
| | - Malgorzata Nepelska
- Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), AgroParisTech, Food Microbial Ecology lab (Micalis), Université Paris-Saclay, Jouy-en-Josas78350, France
| | | | | | | | | | | | - Marc Maresca
- CNRS, Centrale Marseille, Institut des Sciences Moléculaires (iSm2) UMR7313, Aix Marseille Université, Marseille13013, France
| | - Cendrine Nicoletti
- CNRS, Centrale Marseille, Institut des Sciences Moléculaires (iSm2) UMR7313, Aix Marseille Université, Marseille13013, France
| | - Eric Di Pasquale
- Institut de NeuroPhysioPathologie (INP), Aix Marseille Université, UMR 7051, Marseille13005, France
| | | | | | - Stephen E. Girardin
- Department of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, ON M5S 1A8, Canada
| | - Ivo Gomperts Boneca
- Institut Pasteur, Université Paris Cité, CNRS Unité Mixe de Recherche 6047, INSERM U1306, Unité de Biologie et génétique de la paroi bactérienne, Paris75015, France
| | - Joel Doré
- Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), AgroParisTech, Food Microbial Ecology lab (Micalis), Université Paris-Saclay, Jouy-en-Josas78350, France
- Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), MetaGenoPolis, Université Paris-Saclay, Jouy-en-Josas78350, France
| | - Hervé M. Blottière
- Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), AgroParisTech, Food Microbial Ecology lab (Micalis), Université Paris-Saclay, Jouy-en-Josas78350, France
- Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), MetaGenoPolis, Université Paris-Saclay, Jouy-en-Josas78350, France
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Lema NK, Gemeda MT, Woldesemayat AA. Recent Advances in Metagenomic Approaches, Applications, and Challenge. Curr Microbiol 2023; 80:347. [PMID: 37733134 DOI: 10.1007/s00284-023-03451-5] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/30/2022] [Accepted: 08/20/2023] [Indexed: 09/22/2023]
Abstract
Advances in metagenomics analysis with the advent of next-generation sequencing have extended our knowledge of microbial communities as compared to conventional techniques providing advanced approach to identify novel and uncultivable microorganisms based on their genetic information derived from a particular environment. Shotgun metagenomics involves investigating the DNA of the entire community without the requirement of PCR amplification. It provides access to study all genes present in the sample. On the other hand, amplicon sequencing targets taxonomically important marker genes, the analysis of which is restricted to previously known DNA sequences. While sequence-based metagenomics is used to analyze DNA sequences directly from the environment without the requirement of library construction and with limited identification of novel genes and products that can be complemented by functional genomics, function-based metagenomics requires fragmentation and cloning of extracted metagenome DNA in a suitable host with subsequent functional screening and sequencing clone for detection of a novel gene. Although advances were made in metagenomics, different challenges arise. This review provides insight into advances in the metagenomic approaches combined with next-generation sequencing, their recent applications highlighting the emerging ones, such as in astrobiology, forensic sciences, and SARS-CoV-2 infection diagnosis, and the challenges associated. This review further discusses the different types of metagenomics and outlines advancements in bioinformatics tools and their significance in the analysis of metagenomic datasets.
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Affiliation(s)
- Niguse K Lema
- Department of Biotechnology, College of Biological and Chemical Engineering, Addis Ababa Science and Technology University, Addis Ababa, Ethiopia
- Biotechnology and Bioprocess Center of Excellence, Addis Ababa Science and Technology University, Addis Ababa, Ethiopia
- Department of Biotechnology, Arba Minch University, Arba Minch, Ethiopia
| | - Mesfin T Gemeda
- Department of Biotechnology, College of Biological and Chemical Engineering, Addis Ababa Science and Technology University, Addis Ababa, Ethiopia
- Biotechnology and Bioprocess Center of Excellence, Addis Ababa Science and Technology University, Addis Ababa, Ethiopia
| | - Adugna A Woldesemayat
- Department of Biotechnology, College of Biological and Chemical Engineering, Addis Ababa Science and Technology University, Addis Ababa, Ethiopia.
- Biotechnology and Bioprocess Center of Excellence, Addis Ababa Science and Technology University, Addis Ababa, Ethiopia.
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McDermott S, McCarron M, Burke E, McCallion P, O'Donovan MA. Enabling older adults with intellectual disability to become physical activity leaders in their community: Pilot study. JOURNAL OF INTELLECTUAL DISABILITIES : JOID 2023:17446295231177190. [PMID: 37406191 DOI: 10.1177/17446295231177190] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/07/2023]
Abstract
People with intellectual disabilities (ID) have high levels of sedentary behaviour and co-morbid health conditions. There is also increased longevity for this group which is an incredible success story but one which also poses challenges to the health system. For the first time, the mainstream health system needs to plan for and address age related health needs of people with ID. It also demands consideration of age-appropriate health-promotion efforts to support this ageing population with life-long disability. A physical activity programme, People with Intellectual Disability as Physical Activity Leaders (PPALs), was co-designed and co-developed with older adults (40+ years) with intellectual disability (ID). The process, content and outcomes of the pilot are presented in this paper. Expertise from three sectors: non-statutory academic and people with intellectual disabilities and their supporters worked collaboratively for successful completion of the project.
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Affiliation(s)
- Sonia McDermott
- Trinity Centre for Ageing and Intellectual Disability, Trinity College Dublin, Dublin, Ireland
| | - Mary McCarron
- Trinity Centre for Ageing and Intellectual Disability, Trinity College Dublin, Dublin, Ireland
| | - Eilish Burke
- Trinity Centre for Ageing and Intellectual Disability, Trinity College Dublin, Dublin, Ireland
| | - Philip McCallion
- College of Public Health, Temple University, Philadelphia, PA, USA
| | - Mary-Ann O'Donovan
- Centre for Disability Studies, Affiliate of the University of Sydney, Sydney, NSW, Australia
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Jayasekara SK, Joni HD, Jayantha B, Dissanayake L, Mandrell C, Sinharage MM, Molitor R, Jayasekara T, Sivakumar P, Jayakody LN. Trends in in-silico guided engineering of efficient polyethylene terephthalate (PET) hydrolyzing enzymes to enable bio-recycling and upcycling of PET. Comput Struct Biotechnol J 2023; 21:3513-3521. [PMID: 37484494 PMCID: PMC10362282 DOI: 10.1016/j.csbj.2023.06.004] [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: 03/14/2023] [Revised: 06/01/2023] [Accepted: 06/03/2023] [Indexed: 07/25/2023] Open
Abstract
Polyethylene terephthalate (PET) is the largest produced polyester globally, and less than 30% of all the PET produced globally (∼6 billion pounds annually) is currently recycled into lower-quality products. The major drawbacks in current recycling methods (mechanical and chemical), have inspired the exploration of potentially efficient and sustainable PET depolymerization using biological approaches. Researchers have discovered efficient PET hydrolyzing enzymes in the plastisphere and have demonstrated the selective degradation of PET to original monomers thus enabling biological recycling or upcycling. However, several significant hurdles such as the less efficiency of the hydrolytic reaction, low thermostability of the enzymes, and the inability of the enzyme to depolymerize crystalline PET must be addressed in order to establish techno-economically feasible commercial-scale biological PET recycling or upcycling processes. Researchers leverage a synthetic biology-based design; build, test, and learn (DBTL) methodology to develop commercially applicable efficient PET hydrolyzing enzymes through 1) high-throughput metagenomic and proteomic approaches to discover new PET hydrolyzing enzymes with superior properties: and, 2) enzyme engineering approaches to modify and optimize PET hydrolyzing properties. Recently, in-silico platforms including molecular mechanics and machine learning concepts are emerging as innovative tools for the development of more efficient and effective PET recycling through the exploration of novel mutations in PET hydrolyzing enzymes. In-silico-guided PET hydrolyzing enzyme engineering with DBTL cycles enables the rapid development of efficient variants of enzymes over tedious conventional enzyme engineering methods such as random or directed evolution. This review highlights the potential of in-silico-guided PET degrading enzyme engineering to create more efficient variants, including Ideonella sakaiensis PETase (IsPETase) and leaf-branch compost cutinases (LCC). Furthermore, future research prospects are discussed to enable a sustainable circular economy through the bioconversion of PET to original or high-value platform chemicals.
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Affiliation(s)
- Sandhya K. Jayasekara
- School of Biological Science, Southern Illinois University Carbondale, Carbondale, IL, USA
| | - Hriday Dhar Joni
- School of Physics and Applied Physics, Southern Illinois University Carbondale, Carbondale, IL, USA
| | - Bhagya Jayantha
- School of Biological Science, Southern Illinois University Carbondale, Carbondale, IL, USA
| | - Lakshika Dissanayake
- School of Biological Science, Southern Illinois University Carbondale, Carbondale, IL, USA
| | - Christopher Mandrell
- School of Physics and Applied Physics, Southern Illinois University Carbondale, Carbondale, IL, USA
| | - Manuka M.S. Sinharage
- School of Physics and Applied Physics, Southern Illinois University Carbondale, Carbondale, IL, USA
| | - Ryan Molitor
- School of Physics and Applied Physics, Southern Illinois University Carbondale, Carbondale, IL, USA
| | - Thushari Jayasekara
- School of Physics and Applied Physics, Southern Illinois University Carbondale, Carbondale, IL, USA
| | - Poopalasingam Sivakumar
- School of Physics and Applied Physics, Southern Illinois University Carbondale, Carbondale, IL, USA
| | - Lahiru N. Jayakody
- School of Biological Science, Southern Illinois University Carbondale, Carbondale, IL, USA
- Fermentation Science Institute, Southern Illinois University Carbondale, Carbondale, IL, USA
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11
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Akhtar A, Lata M, Sunsunwal S, Yadav A, Lnu K, Subramanian S, Ramya TNC. New carbohydrate binding domains identified by phage display based functional metagenomic screens of human gut microbiota. Commun Biol 2023; 6:371. [PMID: 37019943 PMCID: PMC10076258 DOI: 10.1038/s42003-023-04718-0] [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: 09/15/2022] [Accepted: 03/16/2023] [Indexed: 04/07/2023] Open
Abstract
Uncultured microbes represent a huge untapped biological resource of novel genes and gene products. Although recent genomic and metagenomic sequencing efforts have led to the identification of numerous genes that are homologous to existing annotated genes, there remains, yet, an enormous pool of unannotated genes that do not find significant sequence homology to existing annotated genes. Functional metagenomics offers a way to identify and annotate novel gene products. Here, we use functional metagenomics to mine novel carbohydrate binding domains that might aid human gut commensals in adherence, gut colonization, and metabolism of complex carbohydrates. We report the construction and functional screening of a metagenomic phage display library from healthy human fecal samples against dietary, microbial and host polysaccharides/glycoconjugates. We identify several protein sequences that do not find a hit to any known protein domain but are predicted to contain carbohydrate binding module-like folds. We heterologously express, purify and biochemically characterize some of these protein domains and demonstrate their carbohydrate-binding function. Our study reveals several previously unannotated carbohydrate-binding domains, including a levan binding domain and four complex N-glycan binding domains that might be useful for the labeling, visualization, and isolation of these glycans.
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Affiliation(s)
- Akil Akhtar
- CSIR- Institute of Microbial Technology, Sector 39-A, Chandigarh, 160036, India
- Emory Vaccine Center, Emory University, Atlanta, GA, USA
| | - Madhu Lata
- CSIR- Institute of Microbial Technology, Sector 39-A, Chandigarh, 160036, India
- Academy of Scientific & Innovative Research (AcSIR), Ghaziabad, Uttar Pradesh, 201002, India
| | - Sonali Sunsunwal
- CSIR- Institute of Microbial Technology, Sector 39-A, Chandigarh, 160036, India
| | - Amit Yadav
- CSIR- Institute of Microbial Technology, Sector 39-A, Chandigarh, 160036, India
- Academy of Scientific & Innovative Research (AcSIR), Ghaziabad, Uttar Pradesh, 201002, India
| | - Kajal Lnu
- CSIR- Institute of Microbial Technology, Sector 39-A, Chandigarh, 160036, India
- Academy of Scientific & Innovative Research (AcSIR), Ghaziabad, Uttar Pradesh, 201002, India
| | - Srikrishna Subramanian
- CSIR- Institute of Microbial Technology, Sector 39-A, Chandigarh, 160036, India
- Academy of Scientific & Innovative Research (AcSIR), Ghaziabad, Uttar Pradesh, 201002, India
| | - T N C Ramya
- CSIR- Institute of Microbial Technology, Sector 39-A, Chandigarh, 160036, India.
- Academy of Scientific & Innovative Research (AcSIR), Ghaziabad, Uttar Pradesh, 201002, India.
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12
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Athanasopoulou K, Adamopoulos PG, Scorilas A. Unveiling the Human Gastrointestinal Tract Microbiome: The Past, Present, and Future of Metagenomics. Biomedicines 2023; 11:biomedicines11030827. [PMID: 36979806 PMCID: PMC10045138 DOI: 10.3390/biomedicines11030827] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2023] [Revised: 02/26/2023] [Accepted: 03/08/2023] [Indexed: 03/30/2023] Open
Abstract
Over 1014 symbiotic microorganisms are present in a healthy human body and are responsible for the synthesis of vital vitamins and amino acids, mediating cellular pathways and supporting immunity. However, the deregulation of microbial dynamics can provoke diverse human diseases such as diabetes, human cancers, cardiovascular diseases, and neurological disorders. The human gastrointestinal tract constitutes a hospitable environment in which a plethora of microbes, including diverse species of archaea, bacteria, fungi, and microeukaryotes as well as viruses, inhabit. In particular, the gut microbiome is the largest microbiome community in the human body and has drawn for decades the attention of scientists for its significance in medical microbiology. Revolutions in sequencing techniques, including 16S rRNA and ITS amplicon sequencing and whole genome sequencing, facilitate the detection of microbiomes and have opened new vistas in the study of human microbiota. Especially, the flourishing fields of metagenomics and metatranscriptomics aim to detect all genomes and transcriptomes that are retrieved from environmental and human samples. The present review highlights the complexity of the gastrointestinal tract microbiome and deciphers its implication not only in cellular homeostasis but also in human diseases. Finally, a thorough description of the widely used microbiome detection methods is discussed.
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Affiliation(s)
- Konstantina Athanasopoulou
- Department of Biochemistry and Molecular Biology, Faculty of Biology, National and Kapodistrian University of Athens, 15701 Athens, Greece
| | - Panagiotis G Adamopoulos
- Department of Biochemistry and Molecular Biology, Faculty of Biology, National and Kapodistrian University of Athens, 15701 Athens, Greece
| | - Andreas Scorilas
- Department of Biochemistry and Molecular Biology, Faculty of Biology, National and Kapodistrian University of Athens, 15701 Athens, Greece
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13
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O’Connor L, Heyderman R. The challenges of defining the human nasopharyngeal resistome. Trends Microbiol 2023:S0966-842X(23)00056-2. [DOI: 10.1016/j.tim.2023.02.008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/06/2022] [Revised: 02/16/2023] [Accepted: 02/20/2023] [Indexed: 04/03/2023]
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14
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Archaea as a Model System for Molecular Biology and Biotechnology. Biomolecules 2023; 13:biom13010114. [PMID: 36671499 PMCID: PMC9855744 DOI: 10.3390/biom13010114] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/07/2022] [Revised: 12/29/2022] [Accepted: 01/04/2023] [Indexed: 01/09/2023] Open
Abstract
Archaea represents the third domain of life, displaying a closer relationship with eukaryotes than bacteria. These microorganisms are valuable model systems for molecular biology and biotechnology. In fact, nowadays, methanogens, halophiles, thermophilic euryarchaeota, and crenarchaeota are the four groups of archaea for which genetic systems have been well established, making them suitable as model systems and allowing for the increasing study of archaeal genes' functions. Furthermore, thermophiles are used to explore several aspects of archaeal biology, such as stress responses, DNA replication and repair, transcription, translation and its regulation mechanisms, CRISPR systems, and carbon and energy metabolism. Extremophilic archaea also represent a valuable source of new biomolecules for biological and biotechnological applications, and there is growing interest in the development of engineered strains. In this review, we report on some of the most important aspects of the use of archaea as a model system for genetic evolution, the development of genetic tools, and their application for the elucidation of the basal molecular mechanisms in this domain of life. Furthermore, an overview on the discovery of new enzymes of biotechnological interest from archaea thriving in extreme environments is reported.
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15
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Abdelsalam NA, Elshora H, El-Hadidi M. Interactive Web-Based Services for Metagenomic Data Analysis and Comparisons. Methods Mol Biol 2023; 2649:133-174. [PMID: 37258861 DOI: 10.1007/978-1-0716-3072-3_7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/02/2023]
Abstract
Recently, sequencing technologies have become readily available, and scientists are more motivated to conduct metagenomic research to unveil the potential of a myriad of ecosystems and biomes. Metagenomics studies the composition and functions of microbial communities and paves the way to multiple applications in medicine, industry, and ecology. Nonetheless, the immense amount of sequencing data of metagenomics research and the few user-friendly analysis tools and pipelines carry a new challenge to the data analysis.Web-based bioinformatics tools are now being developed to facilitate the analysis of complex metagenomic data without prior knowledge of any programming languages or special installation. Specialized web tools help answer researchers' main questions on the taxonomic classification, functional capabilities, discrepancies between two ecosystems, and the probable functional correlations between the members of a specific microbial community. With an Internet connection and a few clicks, researchers can conveniently and efficiently analyze the metagenomic datasets, summarize results, and visualize key information on the composition and the functional potential of metagenomic samples under study. This chapter provides a simple guide to a few of the fundamental web-based services used for metagenomic data analyses, such as BV-BRC, RDP, MG-RAST, MicrobiomeAnalyst, METAGENassist, and MGnify.
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Affiliation(s)
- Nehal Adel Abdelsalam
- University of Science and Technology, Zewail City, Giza, Egypt
- Department of Microbiology and Immunology, Faculty of Pharmacy, Cairo University, Cairo, Egypt
| | - Hajar Elshora
- Bioinformatics Group, Center for Informatics Sciences (CIS), Nile University, Giza, Egypt
- Biomedical Informatics Program, School of Information Technology and Computer Science, Nile University, Giza, Egypt
| | - Mohamed El-Hadidi
- Bioinformatics Group, Center for Informatics Sciences (CIS), Nile University, Giza, Egypt.
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16
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Weiland-Bräuer N, Saleh L, Schmitz RA. Functional Metagenomics as a Tool to Tap into Natural Diversity of Valuable Biotechnological Compounds. Methods Mol Biol 2023; 2555:23-49. [PMID: 36306077 DOI: 10.1007/978-1-0716-2795-2_3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/16/2023]
Abstract
The marine ecosystem covers more than 70% of the world's surface, and oceans represent a source of varied types of organisms due to the diversified environment. Consequently, the marine environment is an exceptional depot of novel bioactive natural products, with structural and chemical features generally not found in terrestrial habitats. Here, in particular, microbes represent a vast source of unknown and probably new physiological characteristics. They have evolved during extended evolutionary processes of physiological adaptations under various environmental conditions and selection pressures. However, to date, the biodiversity of marine microbes and the versatility of their bioactive compounds and metabolites have not been fully explored. Thus, metagenomic tools are required to exploit the untapped marine microbial diversity and their bioactive compounds. This chapter focuses on function-based marine metagenomics to screen for bioactive molecules of value for biotechnology. Functional metagenomic strategies are described, including sampling in the marine environment, constructing marine metagenomic large-insert libraries, and examples on function-based screens for quorum quenching and anti-biofilm activities.
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Affiliation(s)
- Nancy Weiland-Bräuer
- Institute for General Microbiology, Christian Albrechts University Kiel, Kiel, Germany
| | - Livía Saleh
- Institute for General Microbiology, Christian Albrechts University Kiel, Kiel, Germany
| | - Ruth A Schmitz
- Institute for General Microbiology, Christian Albrechts University Kiel, Kiel, Germany.
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17
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Thakor A, Cheng J, Charles TC. Isolation of Genes Encoding Carbon Metabolism Pathways from Complex Microbial Communities. Methods Mol Biol 2023; 2555:115-123. [PMID: 36306082 DOI: 10.1007/978-1-0716-2795-2_8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/16/2023]
Abstract
The ability to produce high-value products using bacteria will increasingly rely on continued research to make large-scale bacterial fermentation cost-efficient. Engineering bacteria to use alternate carbon sources as feedstock provides an opportunity to reduce production costs. Using inexpensive carbon sources from various forms of waste provides an opportunity to substantially reduce feedstock costs. Functional carbon metabolism pathways can be identified by the introduction of metagenomic libraries into the organism of interest followed by screening for the desired phenotype. We present here a method to transfer metagenomic libraries from E. coli to Pseudomonas alloputida, followed by screening for use of galactose as a sole carbon source.
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Affiliation(s)
- Aranksha Thakor
- Department of Biology, University of Waterloo, Waterloo, ON, Canada
| | - Jiujun Cheng
- Department of Biology, University of Waterloo, Waterloo, ON, Canada
| | - Trevor C Charles
- Department of Biology, University of Waterloo, Waterloo, ON, Canada.
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18
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Jeilu O, Simachew A, Alexandersson E, Johansson E, Gessesse A. Discovery of novel carbohydrate degrading enzymes from soda lakes through functional metagenomics. Front Microbiol 2022; 13:1059061. [PMID: 36569080 PMCID: PMC9768486 DOI: 10.3389/fmicb.2022.1059061] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2022] [Accepted: 11/11/2022] [Indexed: 12/12/2022] Open
Abstract
Extremophiles provide a one-of-a-kind source of enzymes with properties that allow them to endure the rigorous industrial conversion of lignocellulose biomass into fermentable sugars. However, the fact that most of these organisms fail to grow under typical culture conditions limits the accessibility to these enzymes. In this study, we employed a functional metagenomics approach to identify carbohydrate-degrading enzymes from Ethiopian soda lakes, which are extreme environments harboring a high microbial diversity. Out of 21,000 clones screened for the five carbohydrate hydrolyzing enzymes, 408 clones were found positive. Cellulase and amylase, gave high hit ratio of 1:75 and 1:280, respectively. A total of 378 genes involved in the degradation of complex carbohydrates were identified by combining high-throughput sequencing of 22 selected clones and bioinformatics analysis using a customized workflow. Around 41% of the annotated genes belonged to the Glycoside Hydrolases (GH). Multiple GHs were identified, indicating the potential to discover novel CAZymes useful for the enzymatic degradation of lignocellulose biomass from the Ethiopian soda Lakes. More than 73% of the annotated GH genes were linked to bacterial origins, with Halomonas as the most likely source. Biochemical characterization of the three enzymes from the selected clones (amylase, cellulase, and pectinase) showed that they are active in elevated temperatures, high pH, and high salt concentrations. These properties strongly indicate that the evaluated enzymes have the potential to be used for applications in various industrial processes, particularly in biorefinery for lignocellulose biomass conversion.
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Affiliation(s)
- Oliyad Jeilu
- Institute of Biotechnology, Addis Ababa University, Addis Ababa, Ethiopia,Department of Plant Breeding, Swedish University of Agricultural Sciences, Lomma, Sweden,*Correspondence: Oliyad Jeilu,
| | - Addis Simachew
- Institute of Biotechnology, Addis Ababa University, Addis Ababa, Ethiopia
| | - Erik Alexandersson
- Department of Plant Protection Biology, Swedish University of Agricultural Sciences, Lomma, Sweden
| | - Eva Johansson
- Department of Plant Breeding, Swedish University of Agricultural Sciences, Lomma, Sweden
| | - Amare Gessesse
- Institute of Biotechnology, Addis Ababa University, Addis Ababa, Ethiopia,Department of Biological Sciences and Biotechnology, Botswana International University of Science and Technology, Palapye, Botswana
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19
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Navgire GS, Goel N, Sawhney G, Sharma M, Kaushik P, Mohanta YK, Mohanta TK, Al-Harrasi A. Analysis and Interpretation of metagenomics data: an approach. Biol Proced Online 2022; 24:18. [PMID: 36402995 PMCID: PMC9675974 DOI: 10.1186/s12575-022-00179-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/28/2022] [Accepted: 10/19/2022] [Indexed: 11/20/2022] Open
Abstract
Advances in next-generation sequencing technologies have accelerated the momentum of metagenomic studies, which is increasing yearly. The metagenomics field is one of the versatile applications in microbiology, where any interaction in the environment involving microorganisms can be the topic of study. Due to this versatility, the number of applications of this omics technology reached its horizons. Agriculture is a crucial sector involving crop plants and microorganisms interacting together. Hence, studying these interactions through the lenses of metagenomics would completely disclose a new meaning to crop health and development. The rhizosphere is an essential reservoir of the microbial community for agricultural soil. Hence, we focus on the R&D of metagenomic studies on the rhizosphere of crops such as rice, wheat, legumes, chickpea, and sorghum. These recent developments are impossible without the continuous advancement seen in the next-generation sequencing platforms; thus, a brief introduction and analysis of the available sequencing platforms are presented here to have a clear picture of the workflow. Concluding the topic is the discussion about different pipelines applied to analyze data produced by sequencing techniques and have a significant role in interpreting the outcome of a particular experiment. A plethora of different software and tools are incorporated in the automated pipelines or individually available to perform manual metagenomic analysis. Here we describe 8-10 advanced, efficient pipelines used for analysis that explain their respective workflows to simplify the whole analysis process.
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Affiliation(s)
- Gauri S Navgire
- Department of Microbiology, Savitribai Phule Pune University, Pune, Maharastra, 411007, India
| | - Neha Goel
- Department of Genetics and Tree Improvement, Forest Research Institute, 248006, Dehradun, India
| | - Gifty Sawhney
- Inflammation Pharmacology Division, Academy of Scientific and Innovative Research (AcSIR), CSIR-Indian Institute of Integrative Medicine, Jammu-180001, Jammu Kashmir, India
| | - Mohit Sharma
- Department of Molecular Medicine, Medical University of Warsaw and Malopolska Center of Biotechnology, Karkow, Poland
| | | | | | - Tapan Kumar Mohanta
- Natural and Medical Sciences Research Center, University of Nizwa, Nizwa, 616, Oman.
| | - Ahmed Al-Harrasi
- Natural and Medical Sciences Research Center, University of Nizwa, Nizwa, 616, Oman.
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20
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Han Y, Kinfu BM, Blombach F, Cackett G, Zhang H, Pérez-García P, Krohn I, Salomon J, Besirlioglu V, Mirzaeigarakani T, Schwaneberg U, Chow J, Werner F, Streit WR. A novel metagenome-derived viral RNA polymerase and its application in a cell-free expression system for metagenome screening. Sci Rep 2022; 12:17882. [PMID: 36284144 PMCID: PMC9596486 DOI: 10.1038/s41598-022-22383-x] [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: 08/19/2022] [Accepted: 10/13/2022] [Indexed: 01/20/2023] Open
Abstract
The mining of genomes from non-cultivated microorganisms using metagenomics is a powerful tool to discover novel proteins and other valuable biomolecules. However, function-based metagenome searches are often limited by the time-consuming expression of the active proteins in various heterologous host systems. We here report the initial characterization of novel single-subunit bacteriophage RNA polymerase, EM1 RNAP, identified from a metagenome data set obtained from an elephant dung microbiome. EM1 RNAP and its promoter sequence are distantly related to T7 RNA polymerase. Using EM1 RNAP and a translation-competent Escherichia coli extract, we have developed an efficient medium-throughput pipeline and protocol allowing the expression of metagenome-derived genes and the production of proteins in cell-free system is sufficient for the initial testing of the predicted activities. Here, we have successfully identified and verified 12 enzymes acting on bis(2-hydroxyethyl) terephthalate (BHET) in a completely clone-free approach and proposed an in vitro high-throughput metagenomic screening method.
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Affiliation(s)
- Yuchen Han
- grid.9026.d0000 0001 2287 2617Department of Microbiology and Biotechnology, University of Hamburg, Ohnhorststr. 18, 22609 Hamburg, Germany
| | - Birhanu M. Kinfu
- grid.9026.d0000 0001 2287 2617Department of Microbiology and Biotechnology, University of Hamburg, Ohnhorststr. 18, 22609 Hamburg, Germany ,grid.9764.c0000 0001 2153 9986Present Address: Institute for General Microbiology, Christian-Albrechts-University, 24118 Kiel, Germany
| | - Fabian Blombach
- grid.83440.3b0000000121901201Division of Biosciences, Institute of Structural and Molecular Biology, University College London, Gower Street, London, WC1E 6BT UK
| | - Gwenny Cackett
- grid.83440.3b0000000121901201Division of Biosciences, Institute of Structural and Molecular Biology, University College London, Gower Street, London, WC1E 6BT UK
| | - Hongli Zhang
- grid.9026.d0000 0001 2287 2617Department of Microbiology and Biotechnology, University of Hamburg, Ohnhorststr. 18, 22609 Hamburg, Germany
| | - Pablo Pérez-García
- grid.9026.d0000 0001 2287 2617Department of Microbiology and Biotechnology, University of Hamburg, Ohnhorststr. 18, 22609 Hamburg, Germany
| | - Ines Krohn
- grid.9026.d0000 0001 2287 2617Department of Microbiology and Biotechnology, University of Hamburg, Ohnhorststr. 18, 22609 Hamburg, Germany
| | - Jesper Salomon
- grid.10582.3e0000 0004 0373 0797Novozymes A/S, Microbial Discovery, Bagsværd, Denmark
| | - Volkan Besirlioglu
- grid.1957.a0000 0001 0728 696XChair of Biotechnology, RWTH Aachen, Worringerweg 3, 52074 Aachen, Germany
| | - Tayebeh Mirzaeigarakani
- grid.1957.a0000 0001 0728 696XChair of Biotechnology, RWTH Aachen, Worringerweg 3, 52074 Aachen, Germany
| | - Ulrich Schwaneberg
- grid.1957.a0000 0001 0728 696XChair of Biotechnology, RWTH Aachen, Worringerweg 3, 52074 Aachen, Germany
| | - Jennifer Chow
- grid.9026.d0000 0001 2287 2617Department of Microbiology and Biotechnology, University of Hamburg, Ohnhorststr. 18, 22609 Hamburg, Germany
| | - Finn Werner
- grid.83440.3b0000000121901201Division of Biosciences, Institute of Structural and Molecular Biology, University College London, Gower Street, London, WC1E 6BT UK
| | - Wolfgang R. Streit
- grid.9026.d0000 0001 2287 2617Department of Microbiology and Biotechnology, University of Hamburg, Ohnhorststr. 18, 22609 Hamburg, Germany
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21
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Nazarian Z, Arab SS. Discovery of carboxylesterases via metagenomics: Putative enzymes that contribute to chemical kinetic resolution. Process Biochem 2022. [DOI: 10.1016/j.procbio.2022.07.025] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
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22
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Kim DW, Ahn JH, Cha CJ. Biodegradation of plastics: mining of plastic-degrading microorganisms and enzymes using metagenomics approaches. J Microbiol 2022; 60:969-976. [DOI: 10.1007/s12275-022-2313-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2022] [Revised: 09/15/2022] [Accepted: 09/15/2022] [Indexed: 11/29/2022]
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23
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Jackson SA, Duan M, Zhang P, Ihua MW, Stengel DB, Duan D, Dobson ADW. Isolation, identification, and biochemical characterization of a novel bifunctional phosphomannomutase/phosphoglucomutase from the metagenome of the brown alga Laminaria digitata. Front Microbiol 2022; 13:1000634. [PMID: 36212884 PMCID: PMC9537760 DOI: 10.3389/fmicb.2022.1000634] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/22/2022] [Accepted: 08/15/2022] [Indexed: 11/17/2022] Open
Abstract
Macroalgae host diverse epiphytic bacterial communities with potential symbiotic roles including important roles influencing morphogenesis and growth of the host, nutrient exchange, and protection of the host from pathogens. Macroalgal cell wall structures, exudates, and intra-cellular environments possess numerous complex and valuable carbohydrates such as cellulose, hemi-cellulose, mannans, alginates, fucoidans, and laminarin. Bacterial colonizers of macroalgae are important carbon cyclers, acquiring nutrition from living macroalgae and also from decaying macroalgae. Seaweed epiphytic communities are a rich source of diverse carbohydrate-active enzymes which may have useful applications in industrial bioprocessing. With this in mind, we constructed a large insert fosmid clone library from the metagenome of Laminaria digitata (Ochrophyta) in which decay was induced. Subsequent sequencing of a fosmid clone insert revealed the presence of a gene encoding a bifunctional phosphomannomutase/phosphoglucomutase (PMM/PGM) enzyme 10L6AlgC, closely related to a protein from the halophilic marine bacterium, Cobetia sp. 10L6AlgC was subsequently heterologously expressed in Escherichia coli and biochemically characterized. The enzyme was found to possess both PMM and PGM activity, which had temperature and pH optima of 45°C and 8.0, respectively; for both activities. The PMM activity had a Km of 2.229 mM and Vmax of 29.35 mM min−1 mg−1, while the PGM activity had a Km of 0.5314 mM and a Vmax of 644.7 mM min−1 mg−1. Overall characterization of the enzyme including the above parameters as well as the influence of various divalent cations on these activities revealed that 10L6AlgC has a unique biochemical profile when compared to previously characterized PMM/PGM bifunctional enzymes. Thus 10L6AlgC may find utility in enzyme-based production of biochemicals with different potential industrial applications, in which other bacterial PMM/PGMs have previously been used such as in the production of low-calorie sweeteners in the food industry.
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Affiliation(s)
- Stephen A. Jackson
- School of Microbiology, University College Cork, Cork, Ireland
- Environmental Research Institute, University College Cork, Cork, Ireland
| | - Maohang Duan
- Key Laboratory of Sustainable Development of Marine Fisheries, Ministry of Agriculture and Rural Affairs, Yellow Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences, Qingdao, China
| | - Pengyan Zhang
- Key Laboratory of Sustainable Development of Marine Fisheries, Ministry of Agriculture and Rural Affairs, Yellow Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences, Qingdao, China
| | - Maureen W. Ihua
- School of Microbiology, University College Cork, Cork, Ireland
| | - Dagmar B. Stengel
- Botany and Plant Science, School of Natural Sciences, Ryan Institute for Environmental, Marine and Energy Research, University of Galway, Galway, Ireland
| | - Delin Duan
- CAS and Shandong Province Key Laboratory of Experimental Marine Biology, Center for Ocean Mega-Science, Institute of Oceanology, Chinese Academy of Sciences, Qingdao, China
- Laboratory for Marine Biology and Biotechnology, Pilot National Laboratory for Marine Science and Technology, Qingdao, China
- *Correspondence: Delin Duan,
| | - Alan D. W. Dobson
- School of Microbiology, University College Cork, Cork, Ireland
- Environmental Research Institute, University College Cork, Cork, Ireland
- Alan D. W. Dobson,
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24
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Exploring Bacterial Attributes That Underpin Symbiont Life in the Monogastric Gut. Appl Environ Microbiol 2022; 88:e0112822. [PMID: 36036591 PMCID: PMC9499014 DOI: 10.1128/aem.01128-22] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Abstract
The large bowel of monogastric animals, such as that of humans, is home to a microbial community (microbiota) composed of a diversity of mostly bacterial species. Interrelationships between the microbiota as an entity and the host are complex and lifelong and are characteristic of a symbiosis. The relationships may be disrupted in association with disease, resulting in dysbiosis. Modifications to the microbiota to correct dysbiosis require knowledge of the fundamental mechanisms by which symbionts inhabit the gut. This review aims to summarize aspects of niche fitness of bacterial species that inhabit the monogastric gut, especially of humans, and to indicate the research path by which progress can be made in exploring bacterial attributes that underpin symbiont life in the gut.
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25
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Degradation of Xenobiotic Pollutants: An Environmentally Sustainable Approach. Metabolites 2022; 12:metabo12090818. [PMID: 36144222 PMCID: PMC9505297 DOI: 10.3390/metabo12090818] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/21/2022] [Revised: 08/21/2022] [Accepted: 08/29/2022] [Indexed: 11/17/2022] Open
Abstract
The ability of microorganisms to detoxify xenobiotic compounds allows them to thrive in a toxic environment using carbon, phosphorus, sulfur, and nitrogen from the available sources. Biotransformation is the most effective and useful metabolic process to degrade xenobiotic compounds. Microorganisms have an exceptional ability due to particular genes, enzymes, and degradative mechanisms. Microorganisms such as bacteria and fungi have unique properties that enable them to partially or completely metabolize the xenobiotic substances in various ecosystems.There are many cutting-edge approaches available to understand the molecular mechanism of degradative processes and pathways to decontaminate or change the core structure of xenobiotics in nature. These methods examine microorganisms, their metabolic machinery, novel proteins, and catabolic genes. This article addresses recent advances and current trends to characterize the catabolic genes, enzymes and the techniques involved in combating the threat of xenobiotic compounds using an eco-friendly approach.
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Lu M, Schneider D, Daniel R. Metagenomic Screening for Lipolytic Genes Reveals an Ecology-Clustered Distribution Pattern. Front Microbiol 2022; 13:851969. [PMID: 35756004 PMCID: PMC9226776 DOI: 10.3389/fmicb.2022.851969] [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: 01/10/2022] [Accepted: 04/28/2022] [Indexed: 12/02/2022] Open
Abstract
Lipolytic enzymes are one of the most important enzyme types for application in various industrial processes. Despite the continuously increasing demand, only a small portion of the so far encountered lipolytic enzymes exhibit adequate stability and activities for biotechnological applications. To explore novel and/or extremophilic lipolytic enzymes, microbial consortia in two composts at thermophilic stage were analyzed using function-driven and sequence-based metagenomic approaches. Analysis of community composition by amplicon-based 16S rRNA genes and transcripts, and direct metagenome sequencing revealed that the communities of the compost samples were dominated by members of the phyla Actinobacteria, Proteobacteria, Firmicutes, Bacteroidetes, and Chloroflexi. Function-driven screening of the metagenomic libraries constructed from the two samples yielded 115 unique lipolytic enzymes. The family assignment of these enzymes was conducted by analyzing the phylogenetic relationship and generation of a protein sequence similarity network according to an integrated classification system. The sequence-based screening was performed by using a newly developed database, containing a set of profile Hidden Markov models, highly sensitive and specific for detection of lipolytic enzymes. By comparing the lipolytic enzymes identified through both approaches, we demonstrated that the activity-directed complements sequence-based detection, and vice versa. The sequence-based comparative analysis of lipolytic genes regarding diversity, function and taxonomic origin derived from 175 metagenomes indicated significant differences between habitats. Analysis of the prevalent and distinct microbial groups providing the lipolytic genes revealed characteristic patterns and groups driven by ecological factors. The here presented data suggests that the diversity and distribution of lipolytic genes in metagenomes of various habitats are largely constrained by ecological factors.
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Affiliation(s)
| | | | - Rolf Daniel
- Department of Genomic and Applied Microbiology, Institute of Microbiology and Genetics, Georg August University of Göttingen, Göttingen, Germany
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Wani AK, Roy P, Kumar V, Mir TUG. Metagenomics and artificial intelligence in the context of human health. INFECTION, GENETICS AND EVOLUTION : JOURNAL OF MOLECULAR EPIDEMIOLOGY AND EVOLUTIONARY GENETICS IN INFECTIOUS DISEASES 2022; 100:105267. [PMID: 35278679 DOI: 10.1016/j.meegid.2022.105267] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/19/2021] [Revised: 03/03/2022] [Accepted: 03/04/2022] [Indexed: 12/12/2022]
Abstract
Human microbiome is ubiquitous, dynamic, and site-specific consortia of microbial communities. The pathogenic nature of microorganisms within human tissues has led to an increase in microbial studies. Characterization of genera, like Streptococcus, Cutibacterium, Staphylococcus, Bifidobacterium, Lactococcus and Lactobacillus through culture-dependent and culture-independent techniques has been reported. However, due to the unique environment within human tissues, it is difficult to culture these microorganisms making their molecular studies strenuous. MGs offer a gateway to explore and characterize hidden microbial communities through a culture-independent mode by direct DNA isolation. By function and sequence-based MGs, Scientists can explore the mechanistic details of numerous microbes and their interaction with the niche. Since the data generated from MGs studies is highly complex and multi-dimensional, it requires accurate analytical tools to evaluate and interpret the data. Artificial intelligence (AI) provides the luxury to automatically learn the data dimensionality and ease its complexity that makes the disease diagnosis and disease response easy, accurate and timely. This review provides insight into the human microbiota and its exploration and expansion through MG studies. The review elucidates the significance of MGs in studying the changing microbiota during disease conditions besides highlighting the role of AI in computational analysis of MG data.
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Affiliation(s)
- Atif Khurshid Wani
- Department of Biotechnology, School of Bioengineering and Biosciences, Lovely Professional University, Punjab 144411, India
| | - Priyanka Roy
- Department of Basic and Applied Sciences, National Institute of Food Technology Entrepreneurship and Management, Sonipat 131 028, Haryana, India
| | - Vijay Kumar
- Department of Basic and Applied Sciences, National Institute of Food Technology Entrepreneurship and Management, Sonipat 131 028, Haryana, India.
| | - Tahir Ul Gani Mir
- Department of Biotechnology, School of Bioengineering and Biosciences, Lovely Professional University, Punjab 144411, India
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28
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Delangiz N, Aliyar S, Pashapoor N, Nobaharan K, Asgari Lajayer B, Rodríguez-Couto S. Can polymer-degrading microorganisms solve the bottleneck of plastics' environmental challenges? CHEMOSPHERE 2022; 294:133709. [PMID: 35074325 DOI: 10.1016/j.chemosphere.2022.133709] [Citation(s) in RCA: 15] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/16/2021] [Revised: 11/27/2021] [Accepted: 01/18/2022] [Indexed: 06/14/2023]
Abstract
Increasing world population and industrial activities have enhanced anthropogenic pollution, plastic pollution being especially alarming. So, plastics should be recycled and/or make them biodegradable. Chemical and physical remediating methods are usually energy consuming and costly. In addition, they are not ecofriendly and usually produce toxic byproducts. Bioremediation is a proper option as it is cost-efficient and environmentally friendly. Plastic production and consumption are increasing daily, and, as a consequence, more microorganisms are exposed to these nonbiodegradable polymers. Therefore, investigating new efficient microorganisms and increasing the knowledge about their biology can pave the way for efficient and feasible plastic bioremediation processes. In this sense, omics, systems biology and bioinformatics are three important fields to analyze the biodegradation pathways in microorganisms. Based on the above-mentioned technologies, researchers can engineer microorganisms with specific desired properties to make bioremediation more efficient.
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Affiliation(s)
- Nasser Delangiz
- Department of Plant Biotechnology and Breeding, Faculty of Agriculture, University of Tabriz, Tabriz, Iran.
| | - Sajad Aliyar
- Department of Soil Science, Faculty of Agriculture, University of Tabriz, Tabriz, Iran
| | - Neda Pashapoor
- Department of Soil Science, Faculty of Agriculture, Urmia University, Urmia, Iran
| | | | - Behnam Asgari Lajayer
- Department of Soil Science, Faculty of Agriculture, University of Tabriz, Tabriz, Iran.
| | - Susana Rodríguez-Couto
- Department of Separation Science, LUT School of Engineering Science, LUT University, Sammonkatu 12, FI-50130 Mikkeli, Finland
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Böhnke S, Perner M. Approaches to Unmask Functioning of the Uncultured Microbial Majority From Extreme Habitats on the Seafloor. Front Microbiol 2022; 13:845562. [PMID: 35422772 PMCID: PMC9002263 DOI: 10.3389/fmicb.2022.845562] [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: 12/30/2021] [Accepted: 03/07/2022] [Indexed: 11/30/2022] Open
Abstract
Researchers have recognized the potential of enzymes and metabolic pathways hidden among the unseen majority of Earth’s microorganisms for decades now. Most of the microbes expected to colonize the seafloor and its subsurface are currently uncultured. Thus, their ability and contribution to element cycling remain enigmatic. Given that the seafloor covers ∼70% of our planet, this amounts to an uncalled potential of unrecognized metabolic properties and interconnections catalyzed by this microbial dark matter. Consequently, a tremendous black box awaits discovery of novel enzymes, catalytic abilities, and metabolic properties in one of the largest habitats on Earth. This mini review summarizes the current knowledge of cultivation-dependent and -independent techniques applied to seafloor habitats to unravel the role of the microbial dark matter. It highlights the great potential that combining microbiological and biogeochemical data from in situ experiments with molecular tools has for providing a holistic understanding of bio-geo-coupling in seafloor habitats and uses hydrothermal vent systems as a case example.
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Affiliation(s)
- Stefanie Böhnke
- Geomicrobiology, GEOMAR Helmholtz Centre for Ocean Research Kiel, Kiel, Germany
| | - Mirjam Perner
- Geomicrobiology, GEOMAR Helmholtz Centre for Ocean Research Kiel, Kiel, Germany
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30
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Aslam B, Khurshid M, Arshad MI, Muzammil S, Rasool M, Yasmeen N, Shah T, Chaudhry TH, Rasool MH, Shahid A, Xueshan X, Baloch Z. Antibiotic Resistance: One Health One World Outlook. Front Cell Infect Microbiol 2021; 11:771510. [PMID: 34900756 PMCID: PMC8656695 DOI: 10.3389/fcimb.2021.771510] [Citation(s) in RCA: 152] [Impact Index Per Article: 50.7] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2021] [Accepted: 10/29/2021] [Indexed: 01/07/2023] Open
Abstract
Antibiotic resistance (ABR) is a growing public health concern worldwide, and it is now regarded as a critical One Health issue. One Health’s interconnected domains contribute to the emergence, evolution, and spread of antibiotic-resistant microorganisms on a local and global scale, which is a significant risk factor for global health. The persistence and spread of resistant microbial species, and the association of determinants at the human-animal-environment interface can alter microbial genomes, resulting in resistant superbugs in various niches. ABR is motivated by a well-established link between three domains: human, animal, and environmental health. As a result, addressing ABR through the One Health approach makes sense. Several countries have implemented national action plans based on the One Health approach to combat antibiotic-resistant microbes, following the Tripartite’s Commitment Food and Agriculture Organization (FAO)-World Organization for Animal Health (OIE)-World Health Organization (WHO) guidelines. The ABR has been identified as a global health concern, and efforts are being made to mitigate this global health threat. To summarize, global interdisciplinary and unified approaches based on One Health principles are required to limit the ABR dissemination cycle, raise awareness and education about antibiotic use, and promote policy, advocacy, and antimicrobial stewardship.
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Affiliation(s)
- Bilal Aslam
- Department of Microbiology, Government College University Faisalabad, Faisalabad, Pakistan
| | - Mohsin Khurshid
- Department of Microbiology, Government College University Faisalabad, Faisalabad, Pakistan
| | | | - Saima Muzammil
- Department of Microbiology, Government College University Faisalabad, Faisalabad, Pakistan
| | - Maria Rasool
- Department of Microbiology, Government College University Faisalabad, Faisalabad, Pakistan
| | - Nafeesa Yasmeen
- College of Veterinary Medicine, South China Agricultural University, Guangzhou, China
| | - Taif Shah
- Faculty of Life Science and Technology, Kunming University of Life Science and Technology, Kunming, China
| | - Tamoor Hamid Chaudhry
- Department of Microbiology, Government College University Faisalabad, Faisalabad, Pakistan.,Public Health Laboratories Division, National Institute of Health, Islamabad, Pakistan
| | | | - Aqsa Shahid
- Faculty of Rehabilitation and Allied Health Sciences, Riphah International University, Faisalabad, Pakistan
| | - Xia Xueshan
- Faculty of Life Science and Technology, Kunming University of Life Science and Technology, Kunming, China
| | - Zulqarnain Baloch
- Faculty of Life Science and Technology, Kunming University of Life Science and Technology, Kunming, China
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31
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Viljakainen VR, Hug LA. New approaches for the characterization of plastic-associated microbial communities and the discovery of plastic-degrading microorganisms and enzymes. Comput Struct Biotechnol J 2021; 19:6191-6200. [PMID: 34900132 PMCID: PMC8632723 DOI: 10.1016/j.csbj.2021.11.023] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/12/2021] [Revised: 11/14/2021] [Accepted: 11/14/2021] [Indexed: 12/04/2022] Open
Abstract
Plastics in the environment represent new substrates for microbial colonization, and recent methodological advances allow for in-depth characterization of plastic-associated microbial communities (PAMCs). Over the past several decades, discovery of plastic degrading enzymes (PDEs) and plastic degrading microorganisms (PDMs) has been driven by efforts to understand microbially-mediated plastic degradation in the environment and to discover biocatalysts for plastic processing. In this review, we discuss the evolution of methodology in plastic microbiology and highlight major advancements in the field stemming from computational microbiology. Initial research relied largely on culture-based approaches like clear-zone assays to screen for PDMs and microscopy to characterize PAMCs. New computational tools and sequencing technologies are accelerating discoveries in the field through culture-independent and multi-omic approaches, rapidly generating targets for protein engineering and improving the potential for plastic-waste management.
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Affiliation(s)
- V R Viljakainen
- University of Waterloo, 200 University Ave W, Waterloo, ON N2L 3G1, Canada
| | - L A Hug
- University of Waterloo, 200 University Ave W, Waterloo, ON N2L 3G1, Canada
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32
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Niegowska M, Sanseverino I, Navarro A, Lettieri T. Knowledge gaps in the assessment of antimicrobial resistance in surface waters. FEMS Microbiol Ecol 2021; 97:fiab140. [PMID: 34625810 PMCID: PMC8528692 DOI: 10.1093/femsec/fiab140] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/09/2021] [Accepted: 10/06/2021] [Indexed: 11/26/2022] Open
Abstract
The spread of antibiotic resistance in the water environment has been widely described. However, still many knowledge gaps exist regarding the selection pressure from antibiotics, heavy metals and other substances present in surface waters as a result of anthropogenic activities, as well as the extent and impact of this phenomenon on aquatic organisms and humans. In particular, the relationship between environmental concentrations of antibiotics and the acquisition of ARGs by antibiotic-sensitive bacteria as well as the impact of heavy metals and other selective agents on antimicrobial resistance (AMR) need to be defined. Currently, established safety values are based on the effects of antibiotic toxicity neglecting the question of AMR spread. In turn, risk assessment of antibiotics in waterbodies remains a complex question implicating multiple variables and unknowns reinforced by the lack of harmonized protocols and official guidelines. In the present review, we discussed current state-of-the-art and the knowledge gaps related to pressure exerted by antibiotics and heavy metals on aquatic environments and their relationship to the spread of AMR. Along with this latter, we reflected on (i) the risk assessment in surface waters, (ii) selective pressures contributing to its transfer and propagation and (iii) the advantages of metagenomics in investigating AMR. Furthermore, the role of microplastics in co-selection for metal and antibiotic resistance, together with the need for more studies in freshwater are highlighted.
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Affiliation(s)
- Magdalena Niegowska
- European Commission, Joint Research Centre (JRC), Via Enrico Fermi 2749, 21027 Ispra, Italy
| | - Isabella Sanseverino
- European Commission, Joint Research Centre (JRC), Via Enrico Fermi 2749, 21027 Ispra, Italy
| | - Anna Navarro
- European Commission, Joint Research Centre (JRC), Via Enrico Fermi 2749, 21027 Ispra, Italy
| | - Teresa Lettieri
- European Commission, Joint Research Centre (JRC), Via Enrico Fermi 2749, 21027 Ispra, Italy
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33
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Alex Wong CF, van Vliet L, Bhujbal SV, Guo C, Sletmoen M, Stokke BT, Hollfelder F, Lale R. A Titratable Cell Lysis-on-Demand System for Droplet-Compartmentalized Ultrahigh-Throughput Screening in Functional Metagenomics and Directed Evolution. ACS Synth Biol 2021; 10:1882-1894. [PMID: 34260196 PMCID: PMC8383311 DOI: 10.1021/acssynbio.1c00084] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Abstract
![]()
Water-in-oil emulsion
droplets are an attractive format for ultrahigh-throughput
screening in functional metagenomics and directed evolution applications
that allow libraries with more than 107 members to be characterized
in a day. Single library members are compartmentalized in droplets
that are generated in microfluidic devices and tested for the presence
of target biocatalysts. The target proteins can be produced intracellularly,
for example, in bacterial hosts in-droplet cell lysis is therefore
necessary to allow the enzymes to encounter the substrate to initiate
an activity assay. Here, we present a titratable lysis-on-demand (LoD)
system enabling the control of the cell lysis rate in Escherichia
coli. We demonstrate that the rate of cell lysis can be controlled
by adjusting the externally added inducer concentration. This LoD
system is evaluated both at the population level (by optical density
measurements) and at the single-cell level (on single-cell arrays
and in alginate microbeads). Additionally, we validate the LoD system
by droplet screening of a phosphotriesterase expressed from E. coli, with cell lysis triggered by inducer concentrations
in the μM range. The LoD system yields sufficient release of
the intracellularly produced enzymes to bring about a detectable quantity
of product (measured by fluorescence in flow cytometry of double emulsions),
while leaving viable cells for the downstream recovery of the genetic
material.
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Affiliation(s)
- Che Fai Alex Wong
- Department of Biotechnology, Faculty of Natural Sciences, Norwegian University of Science and Technology, Trondheim, N-7491, Norway
| | - Liisa van Vliet
- Department of Biochemistry, University of Cambridge, 80 Tennis Court Road, Cambridge, CB2 1GA, United Kingdom
| | - Swapnil Vilas Bhujbal
- Department of Biotechnology, Faculty of Natural Sciences, Norwegian University of Science and Technology, Trondheim, N-7491, Norway
| | - Chengzhi Guo
- Department of Biochemistry, University of Cambridge, 80 Tennis Court Road, Cambridge, CB2 1GA, United Kingdom
| | - Marit Sletmoen
- Department of Biotechnology, Faculty of Natural Sciences, Norwegian University of Science and Technology, Trondheim, N-7491, Norway
| | - Bjørn Torger Stokke
- Department of Physics, Faculty of Natural Sciences, Norwegian University of Science and Technology, Trondheim, N-7491, Norway
| | - Florian Hollfelder
- Department of Biochemistry, University of Cambridge, 80 Tennis Court Road, Cambridge, CB2 1GA, United Kingdom
| | - Rahmi Lale
- Department of Biotechnology, Faculty of Natural Sciences, Norwegian University of Science and Technology, Trondheim, N-7491, Norway
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34
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Abstract
Despite identification of numerous associations between microbiomes and diseases, the complexity of the human microbiome has hindered identification of individual species and strains that are causative in host phenotype or disease. Uncovering causative microbes is vital to fully understand disease processes and to harness the potential therapeutic benefits of microbiota manipulation. Developments in sequencing technology, animal models, and bacterial culturing have facilitated the discovery of specific microbes that impact the host and are beginning to advance the characterization of host-microbiome interaction mechanisms. We summarize the historical and contemporary experimental approaches taken to uncover microbes from the microbiota that affect host biology and describe examples of commensals that have specific effects on the immune system, inflammation, and metabolism. There is still much to learn, and we lay out challenges faced by the field and suggest potential remedies for common pitfalls encountered in the hunt for causative commensal microbes. Expected final online publication date for the Annual Review of Microbiology, Volume 75 is October 2021. Please see http://www.annualreviews.org/page/journal/pubdates for revised estimates.
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Affiliation(s)
- Graham J Britton
- Precision Immunology Institute, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA; .,Icahn Institute for Data Science and Genomic Technology, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Jeremiah J Faith
- Precision Immunology Institute, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA; .,Icahn Institute for Data Science and Genomic Technology, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
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35
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Conchouso D, Al-Ma'abadi A, Behzad H, Alarawi M, Hosokawa M, Nishikawa Y, Takeyama H, Mineta K, Gojobori T. Integration of Droplet Microfluidic Tools for Single-Cell Functional Metagenomics: An Engineering Head Start. GENOMICS, PROTEOMICS & BIOINFORMATICS 2021; 19:504-518. [PMID: 34952209 PMCID: PMC8864243 DOI: 10.1016/j.gpb.2021.03.010] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/06/2020] [Revised: 02/09/2021] [Accepted: 03/09/2021] [Indexed: 11/25/2022]
Abstract
Droplet microfluidic techniques have shown promising outcome to study single cells at high throughput. However, their adoption in laboratories studying “-omics” sciences is still irrelevant due to the complex and multidisciplinary nature of the field. To facilitate their use, here we provide engineering details and organized protocols for integrating three droplet-based microfluidic technologies into the metagenomic pipeline to enable functional screening of bioproducts at high throughput. First, a device encapsulating single cells in droplets at a rate of ∼250 Hz is described considering droplet size and cell growth. Then, we expand on previously reported fluorescence-activated droplet sorting systems to integrate the use of 4 independent fluorescence-exciting lasers (i.e., 405, 488, 561, and 637 nm) in a single platform to make it compatible with different fluorescence-emitting biosensors. For this sorter, both hardware and software are provided and optimized for effortlessly sorting droplets at 60 Hz. Then, a passive droplet merger is also integrated into our pipeline to enable adding new reagents to already-made droplets at a rate of 200 Hz. Finally, we provide an optimized recipe for manufacturing these chips using silicon dry-etching tools. Because of the overall integration and the technical details presented here, our approach allows biologists to quickly use microfluidic technologies and achieve both single-cell resolution and high-throughput capability (>50,000 cells/day) for mining and bioprospecting metagenomic data
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Affiliation(s)
- David Conchouso
- Department of Industrial and Mechanical Engineering, Universidad de las Américas Puebla, Puebla 72810, Mexico; Computational Bioscience Research Center, King Abdullah University of Science and Technology, Thuwal 23955-6900, Saudi Arabia; Biological and Environmental Sciences and Engineering Division, King Abdullah University of Science and Technology, Thuwal 23955-6900, Saudi Arabia
| | - Amani Al-Ma'abadi
- Computational Bioscience Research Center, King Abdullah University of Science and Technology, Thuwal 23955-6900, Saudi Arabia; Biological and Environmental Sciences and Engineering Division, King Abdullah University of Science and Technology, Thuwal 23955-6900, Saudi Arabia
| | - Hayedeh Behzad
- Computational Bioscience Research Center, King Abdullah University of Science and Technology, Thuwal 23955-6900, Saudi Arabia; Biological and Environmental Sciences and Engineering Division, King Abdullah University of Science and Technology, Thuwal 23955-6900, Saudi Arabia
| | - Mohammed Alarawi
- Computational Bioscience Research Center, King Abdullah University of Science and Technology, Thuwal 23955-6900, Saudi Arabia; Biological and Environmental Sciences and Engineering Division, King Abdullah University of Science and Technology, Thuwal 23955-6900, Saudi Arabia
| | - Masahito Hosokawa
- Research Organization for Nano & Life Innovation, Waseda University, Tokyo 162-0041, Japan; Department of Life Science and Medical Bioscience, Waseda University, Tokyo 162-8480, Japan; Institute for Advanced Research of Biosystem Dynamics, Waseda Research Institute for Science and Engineering, Waseda University, Tokyo 169-8555, Japan
| | - Yohei Nishikawa
- Research Organization for Nano & Life Innovation, Waseda University, Tokyo 162-0041, Japan; Computational Bio Big-Data Open Innovation Laboratory, AIST-Waseda University, Tokyo 169-0072, Japan
| | - Haruko Takeyama
- Research Organization for Nano & Life Innovation, Waseda University, Tokyo 162-0041, Japan; Department of Life Science and Medical Bioscience, Waseda University, Tokyo 162-8480, Japan; Institute for Advanced Research of Biosystem Dynamics, Waseda Research Institute for Science and Engineering, Waseda University, Tokyo 169-8555, Japan; Computational Bio Big-Data Open Innovation Laboratory, AIST-Waseda University, Tokyo 169-0072, Japan
| | - Katsuhiko Mineta
- Computational Bioscience Research Center, King Abdullah University of Science and Technology, Thuwal 23955-6900, Saudi Arabia; Computer, Electrical, and Mathematical Sciences and Engineering Division, King Abdullah University of Science and Technology, Thuwal 23955-6900, Saudi Arabia.
| | - Takashi Gojobori
- Computational Bioscience Research Center, King Abdullah University of Science and Technology, Thuwal 23955-6900, Saudi Arabia; Biological and Environmental Sciences and Engineering Division, King Abdullah University of Science and Technology, Thuwal 23955-6900, Saudi Arabia.
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36
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Wang XR, Lian XL, Su TT, Long TF, Li MY, Feng XY, Sun RY, Cui ZH, Tang T, Xia J, Huang T, Liu YH, Liao XP, Fang LX, Sun J. Duck wastes as a potential reservoir of novel antibiotic resistance genes. THE SCIENCE OF THE TOTAL ENVIRONMENT 2021; 771:144828. [PMID: 33545481 DOI: 10.1016/j.scitotenv.2020.144828] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/16/2020] [Revised: 12/17/2020] [Accepted: 12/20/2020] [Indexed: 06/12/2023]
Abstract
Overuse of antibiotics in animal husbandry has led to an increase of antibiotic resistance microorganisms as well as antibiotic-resistance genes (ARGs). Duck farming in China is practiced on a large and diverse scale and the overuse of antibiotics in this field is gaining attention recently. We evaluated the diversity of ARGs from five duck farms using a functional metagenomic approach and constructed five libraries. A total of seventy-six resistant determinants were identified, of which sixty-one were gene variants or novel genes. The novel genes contained five β-lactamase-encoding genes designated as blaDWA1, blaDWA2, blaDWA3, blaDWA4 and blaDWB1, respectively, and two genes conferring resistance to fosfomycin designated as fosA-like1 and fosA-like2. Three of the five β-lactamase-encoding genes were further identified as extended-spectrum β-lactamases (ESBL) that can hydrolyze both penicillins and cephalosporins. Besides, two of the five β-lactamase-encoding genes were associated with mobile genetic elements, indicating a high potential for transfer of the genes to other bacterial hosts. The two novel fosA-like genes were able to increase the MICs of the test Escherichia coli strain from 2 μg/mL to as high as 256 μg/mL(up to 128-fold increase). Our study provides a reference for ARGs prevalence in duck farm wastes and implies that they are an important resistome reservoir, especially for novel ARGs with high spread potential.
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Affiliation(s)
- Xi-Ran Wang
- National Risk Assessment Laboratory for Antimicrobial Resistance of Animal Original Bacteria, South China Agricultural University, Guangzhou, China; Guangdong Laboratory for Lingnan Modern Agriculture, Guangzhou, China; Guangdong Provincial Key Laboratory of Veterinary Pharmaceutics Development and Safety Evaluation, South China Agricultural University, Guangzhou, China
| | - Xin-Lei Lian
- National Risk Assessment Laboratory for Antimicrobial Resistance of Animal Original Bacteria, South China Agricultural University, Guangzhou, China; Guangdong Laboratory for Lingnan Modern Agriculture, Guangzhou, China; Guangdong Provincial Key Laboratory of Veterinary Pharmaceutics Development and Safety Evaluation, South China Agricultural University, Guangzhou, China
| | - Tian-Tian Su
- National Risk Assessment Laboratory for Antimicrobial Resistance of Animal Original Bacteria, South China Agricultural University, Guangzhou, China; Guangdong Laboratory for Lingnan Modern Agriculture, Guangzhou, China; Guangdong Provincial Key Laboratory of Veterinary Pharmaceutics Development and Safety Evaluation, South China Agricultural University, Guangzhou, China
| | - Teng-Fei Long
- National Risk Assessment Laboratory for Antimicrobial Resistance of Animal Original Bacteria, South China Agricultural University, Guangzhou, China; Guangdong Laboratory for Lingnan Modern Agriculture, Guangzhou, China; Guangdong Provincial Key Laboratory of Veterinary Pharmaceutics Development and Safety Evaluation, South China Agricultural University, Guangzhou, China
| | - Meng-Yuan Li
- National Risk Assessment Laboratory for Antimicrobial Resistance of Animal Original Bacteria, South China Agricultural University, Guangzhou, China; Guangdong Laboratory for Lingnan Modern Agriculture, Guangzhou, China; Guangdong Provincial Key Laboratory of Veterinary Pharmaceutics Development and Safety Evaluation, South China Agricultural University, Guangzhou, China
| | - Xiao-Yin Feng
- National Risk Assessment Laboratory for Antimicrobial Resistance of Animal Original Bacteria, South China Agricultural University, Guangzhou, China; Guangdong Laboratory for Lingnan Modern Agriculture, Guangzhou, China; Guangdong Provincial Key Laboratory of Veterinary Pharmaceutics Development and Safety Evaluation, South China Agricultural University, Guangzhou, China
| | - Ruan-Yang Sun
- National Risk Assessment Laboratory for Antimicrobial Resistance of Animal Original Bacteria, South China Agricultural University, Guangzhou, China; Guangdong Laboratory for Lingnan Modern Agriculture, Guangzhou, China; Guangdong Provincial Key Laboratory of Veterinary Pharmaceutics Development and Safety Evaluation, South China Agricultural University, Guangzhou, China
| | - Ze-Hua Cui
- National Risk Assessment Laboratory for Antimicrobial Resistance of Animal Original Bacteria, South China Agricultural University, Guangzhou, China; Guangdong Laboratory for Lingnan Modern Agriculture, Guangzhou, China; Guangdong Provincial Key Laboratory of Veterinary Pharmaceutics Development and Safety Evaluation, South China Agricultural University, Guangzhou, China
| | - Tian Tang
- National Risk Assessment Laboratory for Antimicrobial Resistance of Animal Original Bacteria, South China Agricultural University, Guangzhou, China; Guangdong Laboratory for Lingnan Modern Agriculture, Guangzhou, China; Guangdong Provincial Key Laboratory of Veterinary Pharmaceutics Development and Safety Evaluation, South China Agricultural University, Guangzhou, China
| | - Jing Xia
- National Risk Assessment Laboratory for Antimicrobial Resistance of Animal Original Bacteria, South China Agricultural University, Guangzhou, China; Guangdong Laboratory for Lingnan Modern Agriculture, Guangzhou, China; Guangdong Provincial Key Laboratory of Veterinary Pharmaceutics Development and Safety Evaluation, South China Agricultural University, Guangzhou, China
| | - Ting Huang
- National Risk Assessment Laboratory for Antimicrobial Resistance of Animal Original Bacteria, South China Agricultural University, Guangzhou, China; Guangdong Laboratory for Lingnan Modern Agriculture, Guangzhou, China; Guangdong Provincial Key Laboratory of Veterinary Pharmaceutics Development and Safety Evaluation, South China Agricultural University, Guangzhou, China
| | - Ya-Hong Liu
- National Risk Assessment Laboratory for Antimicrobial Resistance of Animal Original Bacteria, South China Agricultural University, Guangzhou, China; Guangdong Laboratory for Lingnan Modern Agriculture, Guangzhou, China; Guangdong Provincial Key Laboratory of Veterinary Pharmaceutics Development and Safety Evaluation, South China Agricultural University, Guangzhou, China
| | - Xiao-Ping Liao
- National Risk Assessment Laboratory for Antimicrobial Resistance of Animal Original Bacteria, South China Agricultural University, Guangzhou, China; Guangdong Laboratory for Lingnan Modern Agriculture, Guangzhou, China; Guangdong Provincial Key Laboratory of Veterinary Pharmaceutics Development and Safety Evaluation, South China Agricultural University, Guangzhou, China
| | - Liang-Xing Fang
- National Risk Assessment Laboratory for Antimicrobial Resistance of Animal Original Bacteria, South China Agricultural University, Guangzhou, China; Guangdong Laboratory for Lingnan Modern Agriculture, Guangzhou, China; Guangdong Provincial Key Laboratory of Veterinary Pharmaceutics Development and Safety Evaluation, South China Agricultural University, Guangzhou, China
| | - Jian Sun
- National Risk Assessment Laboratory for Antimicrobial Resistance of Animal Original Bacteria, South China Agricultural University, Guangzhou, China; Guangdong Laboratory for Lingnan Modern Agriculture, Guangzhou, China; Guangdong Provincial Key Laboratory of Veterinary Pharmaceutics Development and Safety Evaluation, South China Agricultural University, Guangzhou, China.
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Strategies for Natural Products Discovery from Uncultured Microorganisms. Molecules 2021; 26:molecules26102977. [PMID: 34067778 PMCID: PMC8156983 DOI: 10.3390/molecules26102977] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/23/2021] [Revised: 05/13/2021] [Accepted: 05/13/2021] [Indexed: 12/12/2022] Open
Abstract
Microorganisms are highly regarded as a prominent source of natural products that have significant importance in many fields such as medicine, farming, environmental safety, and material production. Due to this, only tiny amounts of microorganisms can be cultivated under standard laboratory conditions, and the bulk of microorganisms in the ecosystems are still unidentified, which restricts our knowledge of uncultured microbial metabolism. However, they could hypothetically provide a large collection of innovative natural products. Culture-independent metagenomics study has the ability to address core questions in the potential of NP production by cloning and analysis of microbial DNA derived directly from environmental samples. Latest advancements in next generation sequencing and genetic engineering tools for genome assembly have broadened the scope of metagenomics to offer perspectives into the life of uncultured microorganisms. In this review, we cover the methods of metagenomic library construction, and heterologous expression for the exploration and development of the environmental metabolome and focus on the function-based metagenomics, sequencing-based metagenomics, and single-cell metagenomics of uncultured microorganisms.
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Silva JP, Ticona ARP, Hamann PRV, Quirino BF, Noronha EF. Deconstruction of Lignin: From Enzymes to Microorganisms. Molecules 2021; 26:2299. [PMID: 33921125 PMCID: PMC8071518 DOI: 10.3390/molecules26082299] [Citation(s) in RCA: 20] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/26/2021] [Revised: 03/23/2021] [Accepted: 03/26/2021] [Indexed: 11/20/2022] Open
Abstract
Lignocellulosic residues are low-cost abundant feedstocks that can be used for industrial applications. However, their recalcitrance currently makes lignocellulose use limited. In natural environments, microbial communities can completely deconstruct lignocellulose by synergistic action of a set of enzymes and proteins. Microbial degradation of lignin by fungi, important lignin degraders in nature, has been intensively studied. More recently, bacteria have also been described as able to break down lignin, and to have a central role in recycling this plant polymer. Nevertheless, bacterial deconstruction of lignin has not been fully elucidated yet. Direct analysis of environmental samples using metagenomics, metatranscriptomics, and metaproteomics approaches is a powerful strategy to describe/discover enzymes, metabolic pathways, and microorganisms involved in lignin breakdown. Indeed, the use of these complementary techniques leads to a better understanding of the composition, function, and dynamics of microbial communities involved in lignin deconstruction. We focus on omics approaches and their contribution to the discovery of new enzymes and reactions that impact the development of lignin-based bioprocesses.
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Affiliation(s)
- Jéssica P. Silva
- Enzymology Laboratory, Cell Biology Department, University of Brasilia, 70910-900 Brasília, Brazil; (J.P.S.); (A.R.P.T.); (P.R.V.H.)
| | - Alonso R. P. Ticona
- Enzymology Laboratory, Cell Biology Department, University of Brasilia, 70910-900 Brasília, Brazil; (J.P.S.); (A.R.P.T.); (P.R.V.H.)
| | - Pedro R. V. Hamann
- Enzymology Laboratory, Cell Biology Department, University of Brasilia, 70910-900 Brasília, Brazil; (J.P.S.); (A.R.P.T.); (P.R.V.H.)
| | - Betania F. Quirino
- Genetics and Biotechnology Laboratory, Embrapa-Agroenergy, 70770-901 Brasília, Brazil;
| | - Eliane F. Noronha
- Enzymology Laboratory, Cell Biology Department, University of Brasilia, 70910-900 Brasília, Brazil; (J.P.S.); (A.R.P.T.); (P.R.V.H.)
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Mishra S, Lin Z, Pang S, Zhang W, Bhatt P, Chen S. Recent Advanced Technologies for the Characterization of Xenobiotic-Degrading Microorganisms and Microbial Communities. Front Bioeng Biotechnol 2021; 9:632059. [PMID: 33644024 PMCID: PMC7902726 DOI: 10.3389/fbioe.2021.632059] [Citation(s) in RCA: 83] [Impact Index Per Article: 27.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2020] [Accepted: 01/11/2021] [Indexed: 12/16/2022] Open
Abstract
Global environmental contamination with a complex mixture of xenobiotics has become a major environmental issue worldwide. Many xenobiotic compounds severely impact the environment due to their high toxicity, prolonged persistence, and limited biodegradability. Microbial-assisted degradation of xenobiotic compounds is considered to be the most effective and beneficial approach. Microorganisms have remarkable catabolic potential, with genes, enzymes, and degradation pathways implicated in the process of biodegradation. A number of microbes, including Alcaligenes, Cellulosimicrobium, Microbacterium, Micrococcus, Methanospirillum, Aeromonas, Sphingobium, Flavobacterium, Rhodococcus, Aspergillus, Penecillium, Trichoderma, Streptomyces, Rhodotorula, Candida, and Aureobasidium, have been isolated and characterized, and have shown exceptional biodegradation potential for a variety of xenobiotic contaminants from soil/water environments. Microorganisms potentially utilize xenobiotic contaminants as carbon or nitrogen sources to sustain their growth and metabolic activities. Diverse microbial populations survive in harsh contaminated environments, exhibiting a significant biodegradation potential to degrade and transform pollutants. However, the study of such microbial populations requires a more advanced and multifaceted approach. Currently, multiple advanced approaches, including metagenomics, proteomics, transcriptomics, and metabolomics, are successfully employed for the characterization of pollutant-degrading microorganisms, their metabolic machinery, novel proteins, and catabolic genes involved in the degradation process. These technologies are highly sophisticated, and efficient for obtaining information about the genetic diversity and community structures of microorganisms. Advanced molecular technologies used for the characterization of complex microbial communities give an in-depth understanding of their structural and functional aspects, and help to resolve issues related to the biodegradation potential of microorganisms. This review article discusses the biodegradation potential of microorganisms and provides insights into recent advances and omics approaches employed for the specific characterization of xenobiotic-degrading microorganisms from contaminated environments.
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Affiliation(s)
- Sandhya Mishra
- State Key Laboratory for Conservation and Utilization of Subtropical Agro-Bioresources, Guangdong Province Key Laboratory of Microbial Signals and Disease Control, Integrative Microbiology Research Centre, South China Agricultural University, Guangzhou, China
- Guangdong Laboratory for Lingnan Modern Agriculture, Guangzhou, China
| | - Ziqiu Lin
- State Key Laboratory for Conservation and Utilization of Subtropical Agro-Bioresources, Guangdong Province Key Laboratory of Microbial Signals and Disease Control, Integrative Microbiology Research Centre, South China Agricultural University, Guangzhou, China
- Guangdong Laboratory for Lingnan Modern Agriculture, Guangzhou, China
| | - Shimei Pang
- State Key Laboratory for Conservation and Utilization of Subtropical Agro-Bioresources, Guangdong Province Key Laboratory of Microbial Signals and Disease Control, Integrative Microbiology Research Centre, South China Agricultural University, Guangzhou, China
- Guangdong Laboratory for Lingnan Modern Agriculture, Guangzhou, China
| | - Wenping Zhang
- State Key Laboratory for Conservation and Utilization of Subtropical Agro-Bioresources, Guangdong Province Key Laboratory of Microbial Signals and Disease Control, Integrative Microbiology Research Centre, South China Agricultural University, Guangzhou, China
- Guangdong Laboratory for Lingnan Modern Agriculture, Guangzhou, China
| | - Pankaj Bhatt
- State Key Laboratory for Conservation and Utilization of Subtropical Agro-Bioresources, Guangdong Province Key Laboratory of Microbial Signals and Disease Control, Integrative Microbiology Research Centre, South China Agricultural University, Guangzhou, China
- Guangdong Laboratory for Lingnan Modern Agriculture, Guangzhou, China
| | - Shaohua Chen
- State Key Laboratory for Conservation and Utilization of Subtropical Agro-Bioresources, Guangdong Province Key Laboratory of Microbial Signals and Disease Control, Integrative Microbiology Research Centre, South China Agricultural University, Guangzhou, China
- Guangdong Laboratory for Lingnan Modern Agriculture, Guangzhou, China
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Wang Z, Yu Y, Li X, Xiao H, Zhang P, Shen W, Wan F, He J, Tang S, Tan Z, Wu D, Yao H. Fermented Soybean Meal Replacement in the Diet of Lactating Holstein Dairy Cows: Modulated Rumen Fermentation and Ruminal Microflora. Front Microbiol 2021; 12:625857. [PMID: 33584627 PMCID: PMC7879537 DOI: 10.3389/fmicb.2021.625857] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/04/2020] [Accepted: 01/07/2021] [Indexed: 12/20/2022] Open
Abstract
This study was conducted to examine the influences of replacing soybean meal (SBM) with fermented soybean meal (FSBM) in the diet of lactating Holstein cattle on rumen fermentation and ruminal bacterial microbiome. Twenty-four lactating Chinese Holstein dairy cattle were assigned to each of the two treatments in a completely randomized design: the SBM group [the basal total mixed ration (TMR) diet containing 5.77% SBM] and the FSBM group (the experimental TMR diet containing 5.55% FSBM). This trial lasted for 54 days (14 days for adjustment and 40 days for data and sample collection), and samples of rumen liquid were collected on 34 d and 54 d, respectively. The results showed that replacing SBM with FSBM significantly increased the molar percentages of propionate (P < 0.01) and valerate (P < 0.05), but reduced the total volatile fatty acid (TVFA) concentration (P < 0.05), butyrate molar proportion (P < 0.05), and the acetate to propionate ratio (P < 0.01). The copy numbers of total bacteria (P < 0.05), Fibrobacter succinogenes (P < 0.01), Selenomonas ruminantium (P < 0.01), and Prevotella spp. (P < 0.05) in the FSBM group were greater, while the density of Prevotella ruminicola (P < 0.05) was lower than those in the SBM treatment. Additionally, Succiniclasticum ruminis and Saccharofermentans acetigenes were significantly enriched (P < 0.05) in the rumen fluid of FSBM-fed cows, despite the fact that there was no remarkable difference in the Alpha diversity indexes, structure and KEGG pathway abundances of the bacterial community across the two treatments. It could hence be concluded that the substitution of FSBM for SBM modulated rumen fermentation and rumen bacterial microbiota in lactating Holstein dairy cows. Further research is required to elucidate the relevant mechanisms of FSBM, and provide more insights into the application of FSBM in dairy cattle.
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Affiliation(s)
- Zuo Wang
- College of Animal Science and Technology, Hunan Agricultural University, Changsha, China
| | - Yuannian Yu
- College of Animal Science and Technology, Hunan Agricultural University, Changsha, China
| | - Xinyao Li
- College of Animal Science and Technology, Hunan Agricultural University, Changsha, China
| | - Hongyan Xiao
- College of Animal Science and Technology, Hunan Agricultural University, Changsha, China
| | - Peihua Zhang
- College of Animal Science and Technology, Hunan Agricultural University, Changsha, China
| | - Weijun Shen
- College of Animal Science and Technology, Hunan Agricultural University, Changsha, China
| | - Fachun Wan
- College of Animal Science and Technology, Hunan Agricultural University, Changsha, China
| | - Jianhua He
- College of Animal Science and Technology, Hunan Agricultural University, Changsha, China
| | - Shaoxun Tang
- CAS Key Laboratory of Agro-Ecological Processes in Subtropical Region, National Engineering Laboratory for Pollution Control and Waste Utilization in Livestock and Poultry Production, Hunan Provincial Key Laboratory of Animal Nutrition & Physiology and Metabolism, Institute of Subtropical Agriculture, Chinese Academy of Sciences, Changsha, China
| | - Zhiliang Tan
- CAS Key Laboratory of Agro-Ecological Processes in Subtropical Region, National Engineering Laboratory for Pollution Control and Waste Utilization in Livestock and Poultry Production, Hunan Provincial Key Laboratory of Animal Nutrition & Physiology and Metabolism, Institute of Subtropical Agriculture, Chinese Academy of Sciences, Changsha, China
| | - Duanqin Wu
- Institute of Bast Fiber Crops, Chinese Academy of Agricultural Sciences, Changsha, China
| | - Hui Yao
- Nanshan Dairy Co., Ltd., Shaoyang, China
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de Abreu VAC, Perdigão J, Almeida S. Metagenomic Approaches to Analyze Antimicrobial Resistance: An Overview. Front Genet 2021; 11:575592. [PMID: 33537056 PMCID: PMC7848172 DOI: 10.3389/fgene.2020.575592] [Citation(s) in RCA: 30] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/23/2020] [Accepted: 12/04/2020] [Indexed: 11/13/2022] Open
Abstract
Antimicrobial resistance is a major global public health problem, which develops when pathogens acquire antimicrobial resistance genes (ARGs), primarily through genetic recombination between commensal and pathogenic microbes. The resistome is a collection of all ARGs. In microorganisms, the primary method of ARG acquisition is horizontal gene transfer (HGT). Thus, understanding and identifying HGTs, can provide insight into the mechanisms of antimicrobial resistance transmission and dissemination. The use of high-throughput sequencing technologies has made the analysis of ARG sequences feasible and accessible. In particular, the metagenomic approach has facilitated the identification of community-based antimicrobial resistance. This approach is useful, as it allows access to the genomic data in an environmental sample without the need to isolate and culture microorganisms prior to analysis. Here, we aimed to reflect on the challenges of analyzing metagenomic data in the three main approaches for studying antimicrobial resistance: (i) analysis of microbial diversity, (ii) functional gene analysis, and (iii) searching the most complete and pertinent resistome databases.
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Affiliation(s)
- Vinicius A C de Abreu
- Laboratório de Bioinformática e Computação de Alto Desempenho (LaBioCad), Faculdade de Computação (FACOMP), Universidade Federal do Pará, Belém, Brazil
| | - José Perdigão
- Laboratório de Bioinformática e Computação de Alto Desempenho (LaBioCad), Faculdade de Computação (FACOMP), Universidade Federal do Pará, Belém, Brazil
| | - Sintia Almeida
- Central de Genômica e Bioinformática (CeGenBio), Núcleo de Pesquisa e Desenvolvimento de Medicamentos (NPDM), Departamento de Fisiologia e Farmacologia, Universidade Federal do Ceará, Fortaleza, Brazil
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Prasad A, Bhargava H, Gupta A, Shukla N, Rajagopal S, Gupta S, Sharma A, Valadi J, Nigam V, Suravajhala P. Next Generation Sequencing. Adv Bioinformatics 2021. [DOI: 10.1007/978-981-33-6191-1_14] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022] Open
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Sakai Y. Improvements in Extraction Methods of High-molecular-weight DNA from Soils by Modifying Cell Lysis Conditions and Reducing Adsorption of DNA onto Soil Particles. Microbes Environ 2021; 36. [PMID: 34234043 PMCID: PMC8446751 DOI: 10.1264/jsme2.me21017] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
Abstract
High-molecular-weight DNA (HMW DNA) extracted from soil is useful for examined the functions and diversity of soil organisms, the majority of which are difficult to culture. In the present study, the procedures used to extract HMW DNA from soil samples were improved. The grinding of soil samples with liquid nitrogen followed by a lysozyme treatment at 45°C for 1 h and an incubation with protease and SDS at 50°C for 5 h increased the size and yield of HMW DNA extracted from these samples. In the soil group Andosols, the addition of boiled sonicated salmon DNA was effective for HMW DNA extraction.
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Affiliation(s)
- Yoriko Sakai
- Institute for Agro-Environmental Sciences, National Agriculture and Food Research Organization (NARO)
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Tauzin AS, Pereira MR, Van Vliet LD, Colin PY, Laville E, Esque J, Laguerre S, Henrissat B, Terrapon N, Lombard V, Leclerc M, Doré J, Hollfelder F, Potocki-Veronese G. Investigating host-microbiome interactions by droplet based microfluidics. MICROBIOME 2020; 8:141. [PMID: 33004077 PMCID: PMC7531118 DOI: 10.1186/s40168-020-00911-z] [Citation(s) in RCA: 30] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/27/2020] [Accepted: 08/23/2020] [Indexed: 05/08/2023]
Abstract
BACKGROUND Despite the importance of the mucosal interface between microbiota and the host in gut homeostasis, little is known about the mechanisms of bacterial gut colonization, involving foraging for glycans produced by epithelial cells. The slow pace of progress toward understanding the underlying molecular mechanisms is largely due to the lack of efficient discovery tools, especially those targeting the uncultured fraction of the microbiota. RESULTS Here, we introduce an ultra-high-throughput metagenomic approach based on droplet microfluidics, to screen fosmid libraries. Thousands of bacterial genomes can be covered in 1 h of work, with less than ten micrograms of substrate. Applied to the screening of the mucosal microbiota for β-N-acetylgalactosaminidase activity, this approach allowed the identification of pathways involved in the degradation of human gangliosides and milk oligosaccharides, the structural homologs of intestinal mucin glycans. These pathways, whose prevalence is associated with inflammatory bowel diseases, could be the result of horizontal gene transfers with Bacteroides species. Such pathways represent novel targets to study the microbiota-host interactions in the context of inflammatory bowel diseases, in which the integrity of the mucosal barrier is impaired. CONCLUSION By compartmentalizing experiments inside microfluidic droplets, this method speeds up and miniaturizes by several orders of magnitude the screening process compared to conventional approaches, to capture entire metabolic pathways from metagenomic libraries. The method is compatible with all types of (meta)genomic libraries, and employs a commercially available flow cytometer instead of a custom-made sorting system to detect intracellular or extracellular enzyme activities. This versatile and generic workflow will accelerate experimental exploration campaigns in functional metagenomics and holobiomics studies, to further decipher host-microbiota relationships. Video Abstract.
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Affiliation(s)
- Alexandra S Tauzin
- TBI, CNRS, INRAE, INSAT, Université de Toulouse, F-31400, Toulouse, France
| | - Mariana Rangel Pereira
- Department of Biochemistry, University of Cambridge, Cambridge, CB2 1GA, UK
- CAPES Foundation, Ministry of Education of Brazil, BrasÍlia, DF, 70040-020, Brazil
| | - Liisa D Van Vliet
- Department of Biochemistry, University of Cambridge, Cambridge, CB2 1GA, UK
- Drop-Tech, Canterbury Court, Cambridge, CB4 3QU, UK
| | - Pierre-Yves Colin
- Department of Biochemistry, University of Cambridge, Cambridge, CB2 1GA, UK
| | - Elisabeth Laville
- TBI, CNRS, INRAE, INSAT, Université de Toulouse, F-31400, Toulouse, France
| | - Jeremy Esque
- TBI, CNRS, INRAE, INSAT, Université de Toulouse, F-31400, Toulouse, France
| | - Sandrine Laguerre
- TBI, CNRS, INRAE, INSAT, Université de Toulouse, F-31400, Toulouse, France
| | - Bernard Henrissat
- CNRS, UMR 7257, Aix-Marseille Université, F-13288, Marseille, France
- USC 1408 AFMB, INRAE, F-13288, Marseille, France
- Department of Biological Sciences, King Abdulaziz University, Jeddah, Saudi Arabia
| | - Nicolas Terrapon
- CNRS, UMR 7257, Aix-Marseille Université, F-13288, Marseille, France
- USC 1408 AFMB, INRAE, F-13288, Marseille, France
| | - Vincent Lombard
- CNRS, UMR 7257, Aix-Marseille Université, F-13288, Marseille, France
- USC 1408 AFMB, INRAE, F-13288, Marseille, France
| | - Marion Leclerc
- Micalis Institute, INRAE, AgroParisTech, Université Paris-Saclay, F-78350, Jouy-en-Josas, France
| | - Joël Doré
- Micalis Institute, INRAE, AgroParisTech, Université Paris-Saclay, F-78350, Jouy-en-Josas, France
- Metagenopolis, INRAE, F-78350, Jouy-en-Josas, France
| | - Florian Hollfelder
- Department of Biochemistry, University of Cambridge, Cambridge, CB2 1GA, UK.
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Xiao KQ, Ge TD, Wu XH, Peacock CL, Zhu ZK, Peng J, Bao P, Wu JS, Zhu YG. Metagenomic and 14 C tracing evidence for autotrophic microbial CO 2 fixation in paddy soils. Environ Microbiol 2020; 23:924-933. [PMID: 32827180 DOI: 10.1111/1462-2920.15204] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2020] [Accepted: 08/17/2020] [Indexed: 12/14/2022]
Abstract
Autotrophic carbon dioxide (CO2 ) fixation by microbes is ubiquitous in the environment and potentially contributes to the soil organic carbon (SOC) pool. However, the multiple autotrophic pathways of microbial carbon assimilation and fixation in paddy soils remain poorly characterized. In this study, we combine metagenomic analysis with 14 C-labelling to investigate all known autotrophic pathways and CO2 assimilation mechanisms in five typical paddy soils from southern China. Marker genes of six autotrophic pathways are detected in all soil samples, which are dominated by the cbbL genes (67%-82%) coding the ribulose-bisphosphate carboxylase large chain in the Calvin cycle. These marker genes are associated with a broad range of phototrophic and chemotrophic genera. Significant amounts of 14 C-CO2 are assimilated into SOC (74.3-175.8 mg 14 C kg-1 ) and microbial biomass (5.2-24.1 mg 14 C kg-1 ) after 45 days incubation, where more than 70% of 14 C-SOC was concentrated in the relatively stable humin fractions. These results show that paddy soil microbes contain the genetic potential for autotrophic carbon fixation spreading over broad taxonomic ranges, and can incorporate atmospheric carbon into organic components, which ultimately contribute to the stable SOC pool.
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Affiliation(s)
- Ke-Qing Xiao
- School of Earth and Environment, University of Leeds, Leeds, LS2 9JT, UK
| | - Ti-Da Ge
- Key Laboratory of Agro-ecological Processes in Subtropical Region and Changsha Research Station for Agricultural and Environmental Monitoring, Institute of Subtropical Agriculture, Chinese Academy of Sciences, Hunan, 410125, China
| | - Xiao-Hong Wu
- National Engineering Laboratory of Applied Technology for Forestry and Ecology in Southern China, Central South University of Forestry and Technology, Changsha, Hunan, 410004, China
| | - Caroline L Peacock
- School of Earth and Environment, University of Leeds, Leeds, LS2 9JT, UK
| | - Zhen-Ke Zhu
- Key Laboratory of Agro-ecological Processes in Subtropical Region and Changsha Research Station for Agricultural and Environmental Monitoring, Institute of Subtropical Agriculture, Chinese Academy of Sciences, Hunan, 410125, China
| | - Jingjing Peng
- College of Resources and Environmental Sciences, China Agricultural University, Beijing, 100193, China
| | - Peng Bao
- Key Laboratory of Urban Environment and Health, Institute of Urban Environment, Chinese Academy of Sciences, 1799 Jimei Road, Xiamen, 361021, China
| | - Jin-Shui Wu
- Key Laboratory of Agro-ecological Processes in Subtropical Region and Changsha Research Station for Agricultural and Environmental Monitoring, Institute of Subtropical Agriculture, Chinese Academy of Sciences, Hunan, 410125, China
| | - Yong-Guan Zhu
- Key Laboratory of Urban Environment and Health, Institute of Urban Environment, Chinese Academy of Sciences, 1799 Jimei Road, Xiamen, 361021, China.,State Key Laboratory of Urban and Regional Ecology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, 18 Shuangqing Road, Beijing, 100085, China
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Wang Z, Yang DS, Li XY, Yu YN, Yong LY, Zhang PH, He JH, Shen WJ, Wan FC, Feng BL, Tan ZL, Tang SX. Modulation of rumen fermentation and microbial community through increasing dietary cation-anion difference in Chinese Holstein dairy cows under heat stress conditions. J Appl Microbiol 2020; 130:722-735. [PMID: 32757409 DOI: 10.1111/jam.14812] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/02/2020] [Revised: 07/13/2020] [Accepted: 07/29/2020] [Indexed: 12/13/2022]
Abstract
AIMS The effect of increasing dietary cation-anion difference (DCAD) on rumen fermentation and ruminal microbial community in dairy cows under heat stress (HS) conditions were evaluated. METHODS AND RESULTS This study was performed as a two-period cross-over design during the summer season, with eight lactating dairy cows randomly distributed to either a control DCAD diet (CON: 33·5 mEq/100 g DM) or high DCAD diet (HDCAD: 50·8 mEq/100 g DM). Throughout the present study, the temperature and humidity index (THI; 80·2 ± 4·29) was generally elevated above the threshold (THI = 72) that is reported to cause HS in lactating dairy cows. Rumen liquid samples were collected on 15 and 21 d during each 21 d-period. The absolute concentration of ruminal total volatile fatty acid (TVFA) in HDCAD treatment was significantly (P < 0·05) higher than those in the control, whilst the ruminal pH, NH3 -N, and VFA molar percentages were unaffected through increasing DCAD. Furthermore, the copy numbers of the cellulolytic bacteria Ruminococcus albus and Ruminococcus flavefaciens in rumen fluid significantly (P < 0·05) rose along with the increment of DCAD. Although the Alpha diversity indexes and the bacterial microbiota structure were unaffected, increasing DCAD significantly (P < 0·05) enriched the phylum Fibrobacteres and genus Fibrobacter in the microflora of rumen fluid, whilst the genera Flexilinea and Dubosiella were the most differentially abundant taxa in the control. CONCLUSIONS Increasing DCAD under HS conditions resulted in a greater concentration of total VFA without affecting rumen bacteria diversity or structure, although the enrichment of some cellulolytic/hemicellulolytic bacteria was observed. SIGNIFICANCE AND IMPACT OF THE STUDY The present study provides information on the modulation of rumen fermentation and microbial community through the increment of DCAD in Holstein dairy cows under HS conditions.
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Affiliation(s)
- Z Wang
- College of Animal Science and Technology, Hunan Agricultural University, Changsha Hunan, People's Republic of China.,Hunan Co-Innovation Center of Animal Production Safety, CICAPS, Changsha Hunan, People's Republic of China
| | - D S Yang
- CAS Key Laboratory for Agro-Ecological Processes in Subtropical Region, Hunan Provincial Key Laboratory of Animal Nutritional Physiology and Metabolic Process, South-Central Experimental Station of Animal Nutrition and Feed Science, Ministry of Agriculture, Institute of Subtropical Agriculture, Chinese Academy of Sciences, Changsha, Hunan, People's Republic of China
| | - X Y Li
- College of Animal Science and Technology, Hunan Agricultural University, Changsha Hunan, People's Republic of China
| | - Y N Yu
- College of Animal Science and Technology, Hunan Agricultural University, Changsha Hunan, People's Republic of China
| | - L Y Yong
- College of Animal Science and Technology, Hunan Agricultural University, Changsha Hunan, People's Republic of China.,Hunan Co-Innovation Center of Animal Production Safety, CICAPS, Changsha Hunan, People's Republic of China
| | - P H Zhang
- College of Animal Science and Technology, Hunan Agricultural University, Changsha Hunan, People's Republic of China.,Hunan Co-Innovation Center of Animal Production Safety, CICAPS, Changsha Hunan, People's Republic of China
| | - J H He
- College of Animal Science and Technology, Hunan Agricultural University, Changsha Hunan, People's Republic of China.,Hunan Co-Innovation Center of Animal Production Safety, CICAPS, Changsha Hunan, People's Republic of China
| | - W J Shen
- College of Animal Science and Technology, Hunan Agricultural University, Changsha Hunan, People's Republic of China.,Hunan Co-Innovation Center of Animal Production Safety, CICAPS, Changsha Hunan, People's Republic of China
| | - F C Wan
- College of Animal Science and Technology, Hunan Agricultural University, Changsha Hunan, People's Republic of China.,Hunan Co-Innovation Center of Animal Production Safety, CICAPS, Changsha Hunan, People's Republic of China
| | - B L Feng
- Youzhuo Dairy Group, Changsha Hunan, People's Republic of China
| | - Z L Tan
- CAS Key Laboratory for Agro-Ecological Processes in Subtropical Region, Hunan Provincial Key Laboratory of Animal Nutritional Physiology and Metabolic Process, South-Central Experimental Station of Animal Nutrition and Feed Science, Ministry of Agriculture, Institute of Subtropical Agriculture, Chinese Academy of Sciences, Changsha, Hunan, People's Republic of China
| | - S X Tang
- CAS Key Laboratory for Agro-Ecological Processes in Subtropical Region, Hunan Provincial Key Laboratory of Animal Nutritional Physiology and Metabolic Process, South-Central Experimental Station of Animal Nutrition and Feed Science, Ministry of Agriculture, Institute of Subtropical Agriculture, Chinese Academy of Sciences, Changsha, Hunan, People's Republic of China
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47
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Purohit J, Chattopadhyay A, Teli B. Metagenomic Exploration of Plastic Degrading Microbes for Biotechnological Application. Curr Genomics 2020; 21:253-270. [PMID: 33071619 PMCID: PMC7521044 DOI: 10.2174/1389202921999200525155711] [Citation(s) in RCA: 30] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/11/2020] [Revised: 04/14/2020] [Accepted: 04/21/2020] [Indexed: 01/08/2023] Open
Abstract
Since the last few decades, the promiscuous and uncontrolled use of plastics led to the accumulation of millions of tons of plastic waste in the terrestrial and marine environment. It elevated the risk of environmental pollution and climate change. The concern arises more due to the reckless and unscientific disposal of plastics containing high molecular weight polymers, viz., polystyrene, polyamide, polyvinylchloride, polypropylene, polyurethane, and polyethylene, etc. which are very difficult to degrade. Thus, the focus is now paid to search for efficient, eco-friendly, low-cost waste management technology. Of them, degradation of non-degradable synthetic polymer using diverse microbial agents, viz., bacteria, fungi, and other extremophiles become an emerging option. So far, very few microbial agents and their secreted enzymes have been identified and characterized for plastic degradation, but with low efficiency. It might be due to the predominance of uncultured microbial species, which consequently remain unexplored from the respective plastic degrading milieu. To overcome this problem, metagenomic analysis of microbial population engaged in the plastic biodegradation is advisable to decipher the microbial community structure and to predict their biodegradation potential in situ. Advancements in sequencing technologies and bioinformatics analysis allow the rapid metagenome screening that helps in the identification of total microbial community and also opens up the scope for mining genes or enzymes (hydrolases, laccase, etc.) engaged in polymer degradation. Further, the extraction of the core microbial population and their adaptation, fitness, and survivability can also be deciphered through comparative metagenomic study. It will help to engineer the microbial community and their metabolic activity to speed up the degradation process.
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Affiliation(s)
- Jyotika Purohit
- 1Department of Plant Pathology, C.P. College of Agriculture, S.D. Agricultural University, SK Nagar, (Guj.), India; 2Division of Plant Pathology, IARI, New Delhi, India; 3Department of Mycology & Plant Pathology, Institute of Agricultural Sciences, Banaras Hindu University, Varanasi, (U.P.), India
| | - Anirudha Chattopadhyay
- 1Department of Plant Pathology, C.P. College of Agriculture, S.D. Agricultural University, SK Nagar, (Guj.), India; 2Division of Plant Pathology, IARI, New Delhi, India; 3Department of Mycology & Plant Pathology, Institute of Agricultural Sciences, Banaras Hindu University, Varanasi, (U.P.), India
| | - Basavaraj Teli
- 1Department of Plant Pathology, C.P. College of Agriculture, S.D. Agricultural University, SK Nagar, (Guj.), India; 2Division of Plant Pathology, IARI, New Delhi, India; 3Department of Mycology & Plant Pathology, Institute of Agricultural Sciences, Banaras Hindu University, Varanasi, (U.P.), India
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48
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Araujo FJ, Hissa DC, Silva GO, Antunes ASLM, Nogueira VLR, Gonçalves LRB, Melo VMM. A novel bacterial carboxylesterase identified in a metagenome derived-clone from Brazilian mangrove sediments. Mol Biol Rep 2020; 47:3919-3928. [DOI: 10.1007/s11033-020-05484-6] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/03/2020] [Accepted: 04/30/2020] [Indexed: 10/24/2022]
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49
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Lamprecht-Grandío M, Cortesão M, Mirete S, de la Cámara MB, de Figueras CG, Pérez-Pantoja D, White JJ, Farías ME, Rosselló-Móra R, González-Pastor JE. Novel Genes Involved in Resistance to Both Ultraviolet Radiation and Perchlorate From the Metagenomes of Hypersaline Environments. Front Microbiol 2020; 11:453. [PMID: 32292392 PMCID: PMC7135895 DOI: 10.3389/fmicb.2020.00453] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/22/2019] [Accepted: 03/03/2020] [Indexed: 12/25/2022] Open
Abstract
Microorganisms that thrive in hypersaline environments on the surface of our planet are exposed to the harmful effects of ultraviolet radiation. Therefore, for their protection, they have sunscreen pigments and highly efficient DNA repair and protection systems. The present study aimed to identify new genes involved in UV radiation resistance from these microorganisms, many of which cannot be cultured in the laboratory. Thus, a functional metagenomic approach was used and for this, small-insert libraries were constructed with DNA isolated from microorganisms of high-altitude Andean hypersaline lakes in Argentina (Diamante and Ojo Seco lakes, 4,589 and 3,200 m, respectively) and from the Es Trenc solar saltern in Spain. The libraries were hosted in a UV radiation-sensitive strain of Escherichia coli (recA mutant) and they were exposed to UVB. The resistant colonies were analyzed and as a result, four clones were identified with environmental DNA fragments containing five genes that conferred resistance to UV radiation in E. coli. One gene encoded a RecA-like protein, complementing the mutation in recA that makes the E. coli host strain more sensitive to UV radiation. Two other genes from the same DNA fragment encoded a TATA-box binding protein and an unknown protein, both responsible for UV resistance. Interestingly, two other genes from different and remote environments, the Ojo Seco Andean lake and the Es Trenc saltern, encoded two hypothetical proteins that can be considered homologous based on their significant amino acid similarity (49%). All of these genes also conferred resistance to 4-nitroquinoline 1-oxide (4-NQO), a compound that mimics the effect of UV radiation on DNA, and also to perchlorate, a powerful oxidant that can induce DNA damage. Furthermore, the hypothetical protein from the Es Trenc salterns was localized as discrete foci possibly associated with damaged sites in the DNA in cells treated with 4-NQO, so it could be involved in the repair of damaged DNA. In summary, novel genes involved in resistance to UV radiation, 4-NQO and perchlorate have been identified in this work and two of them encoding hypothetical proteins that could be involved in DNA damage repair activities not previously described.
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Affiliation(s)
| | - Marta Cortesão
- Department of Molecular Evolution, Centro de Astrobiología (CSIC-INTA), Madrid, Spain
| | - Salvador Mirete
- Department of Molecular Evolution, Centro de Astrobiología (CSIC-INTA), Madrid, Spain
| | | | | | - Danilo Pérez-Pantoja
- Programa Institucional de Fomento a la Investigación, Desarrollo e Innovación, Universidad Tecnológica Metropolitana, Santiago, Chile
| | - Joseph John White
- Department of Molecular Evolution, Centro de Astrobiología (CSIC-INTA), Madrid, Spain
| | - María Eugenia Farías
- Laboratorio de Investigaciones Microbiológicas de Lagunas Andinas (LIMLA), Planta Piloto de Procesos Industriales y Microbiológicos (PROIMI), Centro Científico Tecnológico, Consejo Nacional de Investigaciones Científicas y Técnicas, San Miguel de Tucumán, Argentina
| | - Ramon Rosselló-Móra
- Marine Microbiology Group, Department of Ecology and Marine Resources, Mediterranean Institute for Advanced Studies (IMEDEA, CSIC-UIB), Esporles, Spain
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50
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Markel U, Essani KD, Besirlioglu V, Schiffels J, Streit WR, Schwaneberg U. Advances in ultrahigh-throughput screening for directed enzyme evolution. Chem Soc Rev 2020; 49:233-262. [PMID: 31815263 DOI: 10.1039/c8cs00981c] [Citation(s) in RCA: 142] [Impact Index Per Article: 35.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
Enzymes are versatile catalysts and their synthetic potential has been recognized for a long time. In order to exploit their full potential, enzymes often need to be re-engineered or optimized for a given application. (Semi-) rational design has emerged as a powerful means to engineer proteins, but requires detailed knowledge about structure function relationships. In turn, directed evolution methodologies, which consist of iterative rounds of diversity generation and screening, can improve an enzyme's properties with virtually no structural knowledge. Current diversity generation methods grant us access to a vast sequence space (libraries of >1012 enzyme variants) that may hide yet unexplored catalytic activities and selectivity. However, the time investment for conventional agar plate or microtiter plate-based screening assays represents a major bottleneck in directed evolution and limits the improvements that are obtainable in reasonable time. Ultrahigh-throughput screening (uHTS) methods dramatically increase the number of screening events per time, which is crucial to speed up biocatalyst design, and to widen our knowledge about sequence function relationships. In this review, we summarize recent advances in uHTS for directed enzyme evolution. We shed light on the importance of compartmentalization to preserve the essential link between genotype and phenotype and discuss how cells and biomimetic compartments can be applied to serve this function. Finally, we discuss how uHTS can inspire novel functional metagenomics approaches to identify natural biocatalysts for novel chemical transformations.
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Affiliation(s)
- Ulrich Markel
- Institute of Biotechnology, RWTH Aachen University, Worringer Weg 3, 52074 Aachen, Germany.
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