1
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Lemieux A, Colby GA, Poulain AJ, Aris-Brosou S. Viral spillover risk increases with climate change in High Arctic lake sediments. Proc Biol Sci 2022; 289:20221073. [PMID: 36259208 PMCID: PMC9579761 DOI: 10.1098/rspb.2022.1073] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022] Open
Abstract
The host spectrum of viruses is quite diverse, as they can sustainedly infect a few species to several phyla. When confronted with a new host, a virus may even infect it and transmit sustainably in this new host, a process called ‘viral spillover’. However, the risk of such events is difficult to quantify. As climate change is rapidly transforming environments, it is becoming critical to quantify the potential for spillovers. To address this issue, we resorted to a metagenomics approach and focused on two environments, soil and lake sediments from Lake Hazen, the largest High Arctic freshwater lake in the world. We used DNA and RNA sequencing to reconstruct the lake’s virosphere in both its sediments and soils, as well as its range of eukaryotic hosts. We then estimated the spillover risk by measuring the congruence between the viral and the eukaryotic host phylogenetic trees, and show that spillover risk increases with runoff from glacier melt, a proxy for climate change. Should climate change also shift species range of potential viral vectors and reservoirs northwards, the High Arctic could become fertile ground for emerging pandemics.
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Affiliation(s)
- Audrée Lemieux
- Department of Biology, University of Ottawa, Ottawa, Ontario, Canada
| | - Graham A. Colby
- Department of Biology, University of Ottawa, Ottawa, Ontario, Canada
| | | | - Stéphane Aris-Brosou
- Department of Biology, University of Ottawa, Ottawa, Ontario, Canada
- Department of Mathematics and Statistics, University of Ottawa, Ottawa, Ontario, Canada
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2
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Karaoz U, Brodie EL. microTrait: A Toolset for a Trait-Based Representation of Microbial Genomes. FRONTIERS IN BIOINFORMATICS 2022; 2:918853. [PMID: 36304272 PMCID: PMC9580909 DOI: 10.3389/fbinf.2022.918853] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/12/2022] [Accepted: 06/20/2022] [Indexed: 11/29/2023] Open
Abstract
Remote sensing approaches have revolutionized the study of macroorganisms, allowing theories of population and community ecology to be tested across increasingly larger scales without much compromise in resolution of biological complexity. In microbial ecology, our remote window into the ecology of microorganisms is through the lens of genome sequencing. For microbial organisms, recent evidence from genomes recovered from metagenomic samples corroborate a highly complex view of their metabolic diversity and other associated traits which map into high physiological complexity. Regardless, during the first decades of this omics era, microbial ecological research has primarily focused on taxa and functional genes as ecological units, favoring breadth of coverage over resolution of biological complexity manifested as physiological diversity. Recently, the rate at which provisional draft genomes are generated has increased substantially, giving new insights into ecological processes and interactions. From a genotype perspective, the wide availability of genome-centric data requires new data synthesis approaches that place organismal genomes center stage in the study of environmental roles and functional performance. Extraction of ecologically relevant traits from microbial genomes will be essential to the future of microbial ecological research. Here, we present microTrait, a computational pipeline that infers and distills ecologically relevant traits from microbial genome sequences. microTrait maps a genome sequence into a trait space, including discrete and continuous traits, as well as simple and composite. Traits are inferred from genes and pathways representing energetic, resource acquisition, and stress tolerance mechanisms, while genome-wide signatures are used to infer composite, or life history, traits of microorganisms. This approach is extensible to any microbial habitat, although we provide initial examples of this approach with reference to soil microbiomes.
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Affiliation(s)
- Ulas Karaoz
- Earth and Environmental Sciences, Lawrence Berkeley National Laboratory, Berkeley, CA, United States
| | - Eoin L. Brodie
- Earth and Environmental Sciences, Lawrence Berkeley National Laboratory, Berkeley, CA, United States
- Department of Environmental Science, Policy and Management, University of California, Berkeley, CA, United States
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3
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Kayani MUR, Huang W, Feng R, Chen L. Genome-resolved metagenomics using environmental and clinical samples. Brief Bioinform 2021; 22:bbab030. [PMID: 33758906 PMCID: PMC8425419 DOI: 10.1093/bib/bbab030] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/21/2020] [Revised: 11/29/2020] [Accepted: 01/20/2021] [Indexed: 12/25/2022] Open
Abstract
Recent advances in high-throughput sequencing technologies and computational methods have added a new dimension to metagenomic data analysis i.e. genome-resolved metagenomics. In general terms, it refers to the recovery of draft or high-quality microbial genomes and their taxonomic classification and functional annotation. In recent years, several studies have utilized the genome-resolved metagenome analysis approach and identified previously unknown microbial species from human and environmental metagenomes. In this review, we describe genome-resolved metagenome analysis as a series of four necessary steps: (i) preprocessing of the sequencing reads, (ii) de novo metagenome assembly, (iii) genome binning and (iv) taxonomic and functional analysis of the recovered genomes. For each of these four steps, we discuss the most commonly used tools and the currently available pipelines to guide the scientific community in the recovery and subsequent analyses of genomes from any metagenome sample. Furthermore, we also discuss the tools required for validation of assembly quality as well as for improving quality of the recovered genomes. We also highlight the currently available pipelines that can be used to automate the whole analysis without having advanced bioinformatics knowledge. Finally, we will highlight the most widely adapted and actively maintained tools and pipelines that can be helpful to the scientific community in decision making before they commence the analysis.
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Affiliation(s)
- Masood ur Rehman Kayani
- Center for Microbiota and Immunological Diseases, Shanghai General Hospital, Shanghai Institute of Immunology, Shanghai Jiao Tong University, School of Medicine, Shanghai 2,000,025, China
| | - Wanqiu Huang
- Shanghai Institute of Immunology, Shanghai Jiao Tong University, School of Medicine, Shanghai 200,000, China
| | - Ru Feng
- Center for Microbiota and Immunological Diseases, Shanghai General Hospital, Shanghai Institute of Immunology, Shanghai Jiao Tong University, School of Medicine, Shanghai 2,000,025, China
| | - Lei Chen
- Center for Microbiota and Immunological Diseases, Shanghai General Hospital, Shanghai Institute of Immunology, Shanghai Jiao Tong University, School of Medicine, Shanghai 2,000,025, China
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4
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Ayling M, Clark MD, Leggett RM. New approaches for metagenome assembly with short reads. Brief Bioinform 2021; 21:584-594. [PMID: 30815668 PMCID: PMC7299287 DOI: 10.1093/bib/bbz020] [Citation(s) in RCA: 100] [Impact Index Per Article: 33.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/12/2018] [Revised: 01/31/2019] [Accepted: 02/01/2019] [Indexed: 02/07/2023] Open
Abstract
In recent years, the use of longer range read data combined with advances in assembly algorithms has stimulated big improvements in the contiguity and quality of genome assemblies. However, these advances have not directly transferred to metagenomic data sets, as assumptions made by the single genome assembly algorithms do not apply when assembling multiple genomes at varying levels of abundance. The development of dedicated assemblers for metagenomic data was a relatively late innovation and for many years, researchers had to make do using tools designed for single genomes. This has changed in the last few years and we have seen the emergence of a new type of tool built using different principles. In this review, we describe the challenges inherent in metagenomic assemblies and compare the different approaches taken by these novel assembly tools.
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Affiliation(s)
- Martin Ayling
- Earlham Institute, Norwich Research Park, Norwich, UK
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5
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Wiltschi B, Cernava T, Dennig A, Galindo Casas M, Geier M, Gruber S, Haberbauer M, Heidinger P, Herrero Acero E, Kratzer R, Luley-Goedl C, Müller CA, Pitzer J, Ribitsch D, Sauer M, Schmölzer K, Schnitzhofer W, Sensen CW, Soh J, Steiner K, Winkler CK, Winkler M, Wriessnegger T. Enzymes revolutionize the bioproduction of value-added compounds: From enzyme discovery to special applications. Biotechnol Adv 2020; 40:107520. [DOI: 10.1016/j.biotechadv.2020.107520] [Citation(s) in RCA: 55] [Impact Index Per Article: 13.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/27/2019] [Revised: 10/18/2019] [Accepted: 01/13/2020] [Indexed: 12/11/2022]
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6
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Lagkouvardos I, Lesker TR, Hitch TCA, Gálvez EJC, Smit N, Neuhaus K, Wang J, Baines JF, Abt B, Stecher B, Overmann J, Strowig T, Clavel T. Sequence and cultivation study of Muribaculaceae reveals novel species, host preference, and functional potential of this yet undescribed family. MICROBIOME 2019; 7:28. [PMID: 30782206 PMCID: PMC6381624 DOI: 10.1186/s40168-019-0637-2] [Citation(s) in RCA: 407] [Impact Index Per Article: 81.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/13/2018] [Accepted: 01/29/2019] [Indexed: 05/19/2023]
Abstract
BACKGROUND Bacteria within family S24-7 (phylum Bacteroidetes) are dominant in the mouse gut microbiota and detected in the intestine of other animals. Because they had not been cultured until recently and the family classification is still ambiguous, interaction with their host was difficult to study and confusion still exists regarding sequence data annotation. METHODS We investigated family S24-7 by combining data from large-scale 16S rRNA gene analysis and from functional and taxonomic studies of metagenomic and cultured species. RESULTS A total of 685 species was inferred by full-length 16S rRNA gene sequence clustering. While many species could not be assigned ecological habitats (93,045 samples analyzed), the mouse was the most commonly identified host (average of 20% relative abundance and nine co-occurring species). Shotgun metagenomics allowed reconstruction of 59 molecular species, of which 34 were representative of the 16S rRNA gene-derived species clusters. In addition, cultivation efforts allowed isolating five strains representing three species, including two novel taxa. Genome analysis revealed that S24-7 spp. are functionally distinct from neighboring families and versatile with respect to complex carbohydrate degradation. CONCLUSIONS We provide novel data on the diversity, ecology, and description of bacterial family S24-7, for which the name Muribaculaceae is proposed.
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Affiliation(s)
- Ilias Lagkouvardos
- ZIEL - Institute for Food & Health, Technical University of Munich, Freising, Germany
| | - Till R. Lesker
- Department of Microbial Immune Regulation, Helmholtz Centre for Infection Research, Braunschweig, Germany
| | - Thomas C. A. Hitch
- Functional Microbiome Research Group, Institute of Medical Microbiology, RWTH University Hospital, Pauwelsstrasse 30, 52074 Aachen, Germany
| | - Eric J. C. Gálvez
- Department of Microbial Immune Regulation, Helmholtz Centre for Infection Research, Braunschweig, Germany
| | - Nathiana Smit
- Department of Microbial Immune Regulation, Helmholtz Centre for Infection Research, Braunschweig, Germany
| | - Klaus Neuhaus
- ZIEL - Institute for Food & Health, Technical University of Munich, Freising, Germany
| | - Jun Wang
- Max Planck Institute for Evolutionary Biology, Plön, Germany
| | - John F. Baines
- Max Planck Institute for Evolutionary Biology, Plön, Germany
- Institute for Experimental Medicine, Kiel University, Kiel, Germany
| | - Birte Abt
- Leibniz-Institute DSMZ - German Collection of Microorganisms and Cell Cultures, Braunschweig, Germany
- German Center for Infection Research (DZIF), partner sites Hannover-Braunschweig and Munich, Germany
| | - Bärbel Stecher
- Max von Pettenkofer Institute of Hygiene and Medical Microbiology, Faculty of Medicine, LMU Munich, Munich, Germany
- German Center for Infection Research (DZIF), partner sites Hannover-Braunschweig and Munich, Germany
| | - Jörg Overmann
- Leibniz-Institute DSMZ - German Collection of Microorganisms and Cell Cultures, Braunschweig, Germany
- German Center for Infection Research (DZIF), partner sites Hannover-Braunschweig and Munich, Germany
| | - Till Strowig
- Department of Microbial Immune Regulation, Helmholtz Centre for Infection Research, Braunschweig, Germany
| | - Thomas Clavel
- ZIEL - Institute for Food & Health, Technical University of Munich, Freising, Germany
- Functional Microbiome Research Group, Institute of Medical Microbiology, RWTH University Hospital, Pauwelsstrasse 30, 52074 Aachen, Germany
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7
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Benavides A, Isaza JP, Niño-García JP, Alzate JF, Cabarcas F. CLAME: a new alignment-based binning algorithm allows the genomic description of a novel Xanthomonadaceae from the Colombian Andes. BMC Genomics 2018; 19:858. [PMID: 30537931 PMCID: PMC6288851 DOI: 10.1186/s12864-018-5191-y] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022] Open
Abstract
Background Hot spring bacteria have unique biological adaptations to survive the extreme conditions of these environments; these bacteria produce thermostable enzymes that can be used in biotechnological and industrial applications. However, sequencing these bacteria is complex, since it is not possible to culture them. As an alternative, genome shotgun sequencing of whole microbial communities can be used. The problem is that the classification of sequences within a metagenomic dataset is very challenging particularly when they include unknown microorganisms since they lack genomic reference. We failed to recover a bacterium genome from a hot spring metagenome using the available software tools, so we develop a new tool that allowed us to recover most of this genome. Results We present a proteobacteria draft genome reconstructed from a Colombian’s Andes hot spring metagenome. The genome seems to be from a new lineage within the family Rhodanobacteraceae of the class Gammaproteobacteria, closely related to the genus Dokdonella. We were able to generate this genome thanks to CLAME. CLAME, from Spanish “CLAsificador MEtagenomico”, is a tool to group reads in bins. We show that most reads from each bin belong to a single chromosome. CLAME is very effective recovering most of the reads belonging to the predominant species within a metagenome. Conclusions We developed a tool that can be used to extract genomes (or parts of them) from a complex metagenome. Electronic supplementary material The online version of this article (10.1186/s12864-018-5191-y) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Andres Benavides
- Grupo SISTEMIC, Ingeniería Electrónica, Facultad de Ingeniería, Universidad de Antioquia UdeA, Calle 70 No, 52-21, Medellín, Colombia.
| | - Juan Pablo Isaza
- Centro Nacional de Secuenciación Genómica-CNSG, Sede de Investigación Universitaria-SIU, Universidad de Antioquia UdeA, Calle 70 No, 52-21, Medellín, Colombia.,Grupo de Parasitología, Departamento de Microbiología y Parasitología, Facultad de Medicina, Universidad de Antioquia UdeA, Calle 70 No, 52-21, Medellín, Colombia
| | - Juan Pablo Niño-García
- Escuela de Microbiología, Universidad de Antioquia UdeA, Calle 70 No, 52-21, Medellín, Colombia
| | - Juan Fernando Alzate
- Centro Nacional de Secuenciación Genómica-CNSG, Sede de Investigación Universitaria-SIU, Universidad de Antioquia UdeA, Calle 70 No, 52-21, Medellín, Colombia.,Grupo de Parasitología, Departamento de Microbiología y Parasitología, Facultad de Medicina, Universidad de Antioquia UdeA, Calle 70 No, 52-21, Medellín, Colombia
| | - Felipe Cabarcas
- Grupo SISTEMIC, Ingeniería Electrónica, Facultad de Ingeniería, Universidad de Antioquia UdeA, Calle 70 No, 52-21, Medellín, Colombia.,Centro Nacional de Secuenciación Genómica-CNSG, Sede de Investigación Universitaria-SIU, Universidad de Antioquia UdeA, Calle 70 No, 52-21, Medellín, Colombia
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8
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Analysis of sequencing strategies and tools for taxonomic annotation: Defining standards for progressive metagenomics. Sci Rep 2018; 8:12034. [PMID: 30104688 PMCID: PMC6089906 DOI: 10.1038/s41598-018-30515-5] [Citation(s) in RCA: 55] [Impact Index Per Article: 9.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/22/2018] [Accepted: 07/24/2018] [Indexed: 12/30/2022] Open
Abstract
Metagenomics research has recently thrived due to DNA sequencing technologies improvement, driving the emergence of new analysis tools and the growth of taxonomic databases. However, there is no all-purpose strategy that can guarantee the best result for a given project and there are several combinations of software, parameters and databases that can be tested. Therefore, we performed an impartial comparison, using statistical measures of classification for eight bioinformatic tools and four taxonomic databases, defining a benchmark framework to evaluate each tool in a standardized context. Using in silico simulated data for 16S rRNA amplicons and whole metagenome shotgun data, we compared the results from different software and database combinations to detect biases related to algorithms or database annotation. Using our benchmark framework, researchers can define cut-off values to evaluate the expected error rate and coverage for their results, regardless the score used by each software. A quick guide to select the best tool, all datasets and scripts to reproduce our results and benchmark any new method are available at https://github.com/Ales-ibt/Metagenomic-benchmark. Finally, we stress out the importance of gold standards, database curation and manual inspection of taxonomic profiling results, for a better and more accurate microbial diversity description.
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9
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Watkins SC, Sible E, Putonti C. Pseudomonas PB1-Like Phages: Whole Genomes from Metagenomes Offer Insight into an Abundant Group of Bacteriophages. Viruses 2018; 10:v10060331. [PMID: 29914169 PMCID: PMC6024596 DOI: 10.3390/v10060331] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/15/2018] [Revised: 06/11/2018] [Accepted: 06/11/2018] [Indexed: 02/07/2023] Open
Abstract
Despite the abundance, ubiquity and impact of environmental viruses, their inherent genomic plasticity and extreme diversity pose significant challenges for the examination of bacteriophages on Earth. Viral metagenomic studies have offered insight into broader aspects of phage ecology and repeatedly uncover genes to which we are currently unable to assign function. A combined effort of phage isolation and metagenomic survey of Chicago’s nearshore waters of Lake Michigan revealed the presence of Pbunaviruses, relatives of the Pseudomonas phage PB1. This prompted our expansive investigation of PB1-like phages. Genomic signatures of PB1-like phages and Pbunaviruses were identified, permitting the unambiguous distinction between the presence/absence of these phages in soils, freshwater and wastewater samples, as well as publicly available viral metagenomic datasets. This bioinformatic analysis led to the de novo assembly of nine novel PB1-like phage genomes from a metagenomic survey of samples collected from Lake Michigan. While this study finds that Pbunaviruses are abundant in various environments of Northern Illinois, genomic variation also exists to a considerable extent within individual communities.
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Affiliation(s)
- Siobhan C Watkins
- Department of Biology, Loyola University Chicago, Chicago, IL 60660, USA.
| | - Emily Sible
- Department of Biology, Loyola University Chicago, Chicago, IL 60660, USA.
| | - Catherine Putonti
- Department of Biology, Loyola University Chicago, Chicago, IL 60660, USA.
- Department of Computer Science, Loyola University Chicago, Chicago, IL 60660, USA.
- Bioinformatics Program, Loyola University Chicago, Chicago, IL 60660, USA.
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10
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Papudeshi B, Haggerty JM, Doane M, Morris MM, Walsh K, Beattie DT, Pande D, Zaeri P, Silva GGZ, Thompson F, Edwards RA, Dinsdale EA. Optimizing and evaluating the reconstruction of Metagenome-assembled microbial genomes. BMC Genomics 2017; 18:915. [PMID: 29183281 PMCID: PMC5706307 DOI: 10.1186/s12864-017-4294-1] [Citation(s) in RCA: 38] [Impact Index Per Article: 5.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2017] [Accepted: 11/13/2017] [Indexed: 11/12/2022] Open
Abstract
Background Microbiome/host interactions describe characteristics that affect the host's health. Shotgun metagenomics includes sequencing a random subset of the microbiome to analyze its taxonomic and metabolic potential. Reconstruction of DNA fragments into genomes from metagenomes (called metagenome-assembled genomes) assigns unknown fragments to taxa/function and facilitates discovery of novel organisms. Genome reconstruction incorporates sequence assembly and sorting of assembled sequences into bins, characteristic of a genome. However, the microbial community composition, including taxonomic and phylogenetic diversity may influence genome reconstruction. We determine the optimal reconstruction method for four microbiome projects that had variable sequencing platforms (IonTorrent and Illumina), diversity (high or low), and environment (coral reefs and kelp forests), using a set of parameters to select for optimal assembly and binning tools. Methods We tested the effects of the assembly and binning processes on population genome reconstruction using 105 marine metagenomes from 4 projects. Reconstructed genomes were obtained from each project using 3 assemblers (IDBA, MetaVelvet, and SPAdes) and 2 binning tools (GroopM and MetaBat). We assessed the efficiency of assemblers using statistics that including contig continuity and contig chimerism and the effectiveness of binning tools using genome completeness and taxonomic identification. Results We concluded that SPAdes, assembled more contigs (143,718 ± 124 contigs) of longer length (N50 = 1632 ± 108 bp), and incorporated the most sequences (sequences-assembled = 19.65%). The microbial richness and evenness were maintained across the assembly, suggesting low contig chimeras. SPAdes assembly was responsive to the biological and technological variations within the project, compared with other assemblers. Among binning tools, we conclude that MetaBat produced bins with less variation in GC content (average standard deviation: 1.49), low species richness (4.91 ± 0.66), and higher genome completeness (40.92 ± 1.75) across all projects. MetaBat extracted 115 bins from the 4 projects of which 66 bins were identified as reconstructed metagenome-assembled genomes with sequences belonging to a specific genus. We identified 13 novel genomes, some of which were 100% complete, but show low similarity to genomes within databases. Conclusions In conclusion, we present a set of biologically relevant parameters for evaluation to select for optimal assembly and binning tools. For the tools we tested, SPAdes assembler and MetaBat binning tools reconstructed quality metagenome-assembled genomes for the four projects. We also conclude that metagenomes from microbial communities that have high coverage of phylogenetically distinct, and low taxonomic diversity results in highest quality metagenome-assembled genomes. Electronic supplementary material The online version of this article (10.1186/s12864-017-4294-1) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Bhavya Papudeshi
- Bioinformatics and Medical Informatics, San Diego State University, San Diego, California, USA.,National Center for Genome Analysis Support, Indiana University, Bloomington, Indiana, USA
| | - J Matthew Haggerty
- Department of Biology, San Diego State University, 5500 Campanile Drive, San Diego, 92115, California, USA
| | - Michael Doane
- Department of Biology, San Diego State University, 5500 Campanile Drive, San Diego, 92115, California, USA
| | - Megan M Morris
- Department of Biology, San Diego State University, 5500 Campanile Drive, San Diego, 92115, California, USA
| | - Kevin Walsh
- Department of Biology, San Diego State University, 5500 Campanile Drive, San Diego, 92115, California, USA
| | - Douglas T Beattie
- Department of Biology, University of New South Wales, Sydney, New South Wales, Australia
| | - Dnyanada Pande
- Bioinformatics and Medical Informatics, San Diego State University, San Diego, California, USA
| | - Parisa Zaeri
- Department of Mathematics and Statistics, San Diego State University, San Diego, California, USA
| | - Genivaldo G Z Silva
- Computational Science Research Center, San Diego State University, San Diego, California, USA
| | - Fabiano Thompson
- Institute of Biology, Federal University of Rio de Janeiro (UFRJ), Rio de Janeiro, Brazil
| | - Robert A Edwards
- Department of Computer Science, San Diego State University, 5500 Campanile Drive, San Diego, California, USA
| | - Elizabeth A Dinsdale
- Department of Biology, San Diego State University, 5500 Campanile Drive, San Diego, 92115, California, USA.
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11
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Lemos LN, Pereira RV, Quaggio RB, Martins LF, Moura LMS, da Silva AR, Antunes LP, da Silva AM, Setubal JC. Genome-Centric Analysis of a Thermophilic and Cellulolytic Bacterial Consortium Derived from Composting. Front Microbiol 2017; 8:644. [PMID: 28469608 PMCID: PMC5395642 DOI: 10.3389/fmicb.2017.00644] [Citation(s) in RCA: 41] [Impact Index Per Article: 5.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/20/2017] [Accepted: 03/29/2017] [Indexed: 11/22/2022] Open
Abstract
Microbial consortia selected from complex lignocellulolytic microbial communities are promising alternatives to deconstruct plant waste, since synergistic action of different enzymes is required for full degradation of plant biomass in biorefining applications. Culture enrichment also facilitates the study of interactions among consortium members, and can be a good source of novel microbial species. Here, we used a sample from a plant waste composting operation in the São Paulo Zoo (Brazil) as inoculum to obtain a thermophilic aerobic consortium enriched through multiple passages at 60°C in carboxymethylcellulose as sole carbon source. The microbial community composition of this consortium was investigated by shotgun metagenomics and genome-centric analysis. Six near-complete (over 90%) genomes were reconstructed. Similarity and phylogenetic analyses show that four of these six genomes are novel, with the following hypothesized identifications: a new Thermobacillus species; the first Bacillus thermozeamaize genome (for which currently only 16S sequences are available) or else the first representative of a new family in the Bacillales order; the first representative of a new genus in the Paenibacillaceae family; and the first representative of a new deep-branching family in the Clostridia class. The reconstructed genomes from known species were identified as Geobacillus thermoglucosidasius and Caldibacillus debilis. The metabolic potential of these recovered genomes based on COG and CAZy analyses show that these genomes encode several glycoside hydrolases (GHs) as well as other genes related to lignocellulose breakdown. The new Thermobacillus species stands out for being the richest in diversity and abundance of GHs, possessing the greatest potential for biomass degradation among the six recovered genomes. We also investigated the presence and activity of the organisms corresponding to these genomes in the composting operation from which the consortium was built, using compost metagenome and metatranscriptome datasets generated in a previous study. We obtained strong evidence that five of the six recovered genomes are indeed present and active in that composting process. We have thus discovered three (perhaps four) new thermophillic bacterial species that add to the increasing repertoire of known lignocellulose degraders, whose biotechnological potential can now be investigated in further studies.
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Affiliation(s)
- Leandro N Lemos
- Departamento de Bioquímica, Instituto de Química, Universidade de São PauloSão Paulo, Brazil.,Programa de Pós-Graduação Interunidades em Bioinformática, Universidade de São PauloSão Paulo, Brazil
| | - Roberta V Pereira
- Departamento de Bioquímica, Instituto de Química, Universidade de São PauloSão Paulo, Brazil
| | - Ronaldo B Quaggio
- Departamento de Bioquímica, Instituto de Química, Universidade de São PauloSão Paulo, Brazil
| | - Layla F Martins
- Departamento de Bioquímica, Instituto de Química, Universidade de São PauloSão Paulo, Brazil
| | - Livia M S Moura
- Departamento de Bioquímica, Instituto de Química, Universidade de São PauloSão Paulo, Brazil.,Programa de Pós-Graduação Interunidades em Bioinformática, Universidade de São PauloSão Paulo, Brazil
| | - Amanda R da Silva
- Departamento de Bioquímica, Instituto de Química, Universidade de São PauloSão Paulo, Brazil.,Programa de Pós-Graduação Interunidades em Bioinformática, Universidade de São PauloSão Paulo, Brazil
| | - Luciana P Antunes
- Departamento de Bioquímica, Instituto de Química, Universidade de São PauloSão Paulo, Brazil
| | - Aline M da Silva
- Departamento de Bioquímica, Instituto de Química, Universidade de São PauloSão Paulo, Brazil
| | - João C Setubal
- Departamento de Bioquímica, Instituto de Química, Universidade de São PauloSão Paulo, Brazil.,Biocomplexity Institute, Virginia TechBlacksburg, VA, USA
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12
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Saxena R, Dhakan DB, Mittal P, Waiker P, Chowdhury A, Ghatak A, Sharma VK. Metagenomic Analysis of Hot Springs in Central India Reveals Hydrocarbon Degrading Thermophiles and Pathways Essential for Survival in Extreme Environments. Front Microbiol 2017; 7:2123. [PMID: 28105025 PMCID: PMC5214690 DOI: 10.3389/fmicb.2016.02123] [Citation(s) in RCA: 63] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/05/2016] [Accepted: 12/15/2016] [Indexed: 12/28/2022] Open
Abstract
Extreme ecosystems such as hot springs are of great interest as a source of novel extremophilic species, enzymes, metabolic functions for survival and biotechnological products. India harbors hundreds of hot springs, the majority of which are not yet explored and require comprehensive studies to unravel their unknown and untapped phylogenetic and functional diversity. The aim of this study was to perform a large-scale metagenomic analysis of three major hot springs located in central India namely, Badi Anhoni, Chhoti Anhoni, and Tattapani at two geographically distinct regions (Anhoni and Tattapani), to uncover the resident microbial community and their metabolic traits. Samples were collected from seven distinct sites of the three hot spring locations with temperature ranging from 43.5 to 98°C. The 16S rRNA gene amplicon sequencing of V3 hypervariable region and shotgun metagenome sequencing uncovered a unique taxonomic and metabolic diversity of the resident thermophilic microbial community in these hot springs. Genes associated with hydrocarbon degradation pathways, such as benzoate, xylene, toluene, and benzene were observed to be abundant in the Anhoni hot springs (43.5–55°C), dominated by Pseudomonas stutzeri and Acidovorax sp., suggesting the presence of chemoorganotrophic thermophilic community with the ability to utilize complex hydrocarbons as a source of energy. A high abundance of genes belonging to methane metabolism pathway was observed at Chhoti Anhoni hot spring, where methane is reported to constitute >80% of all the emitted gases, which was marked by the high abundance of Methylococcus capsulatus. The Tattapani hot spring, with a high-temperature range (61.5–98°C), displayed a lower microbial diversity and was primarily dominated by a nitrate-reducing archaeal species Pyrobaculum aerophilum. A higher abundance of cell metabolism pathways essential for the microbial survival in extreme conditions was observed at Tattapani. Taken together, the results of this study reveal a novel consortium of microbes, genes, and pathways associated with the hot spring environment.
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Affiliation(s)
- Rituja Saxena
- Metagenomics and Systems Biology Laboratory, Department of Biological Sciences, Indian Institute of Science Education and Research Bhopal, India
| | - Darshan B Dhakan
- Metagenomics and Systems Biology Laboratory, Department of Biological Sciences, Indian Institute of Science Education and Research Bhopal, India
| | - Parul Mittal
- Metagenomics and Systems Biology Laboratory, Department of Biological Sciences, Indian Institute of Science Education and Research Bhopal, India
| | - Prashant Waiker
- Metagenomics and Systems Biology Laboratory, Department of Biological Sciences, Indian Institute of Science Education and Research Bhopal, India
| | - Anirban Chowdhury
- Department of Earth and Environmental Sciences, Indian Institute of Science Education and Research Bhopal, India
| | - Arundhuti Ghatak
- Department of Earth and Environmental Sciences, Indian Institute of Science Education and Research Bhopal, India
| | - Vineet K Sharma
- Metagenomics and Systems Biology Laboratory, Department of Biological Sciences, Indian Institute of Science Education and Research Bhopal, India
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