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Lui LM, Nielsen TN. Decomposing a San Francisco estuary microbiome using long-read metagenomics reveals species- and strain-level dominance from picoeukaryotes to viruses. mSystems 2024; 9:e0024224. [PMID: 39158287 PMCID: PMC11406994 DOI: 10.1128/msystems.00242-24] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2024] [Accepted: 07/11/2024] [Indexed: 08/20/2024] Open
Abstract
Although long-read sequencing has enabled obtaining high-quality and complete genomes from metagenomes, many challenges still remain to completely decompose a metagenome into its constituent prokaryotic and viral genomes. This study focuses on decomposing an estuarine metagenome to obtain a more accurate estimate of microbial diversity. To achieve this, we developed a new bead-based DNA extraction method, a novel bin refinement method, and obtained 150 Gbp of Nanopore sequencing. We estimate that there are ~500 bacterial and archaeal species in our sample and obtained 68 high-quality bins (>90% complete, <5% contamination, ≤5 contigs, contig length of >100 kbp, and all ribosomal and tRNA genes). We also obtained many contigs of picoeukaryotes, environmental DNA of larger eukaryotes such as mammals, and complete mitochondrial and chloroplast genomes and detected ~40,000 viral populations. Our analysis indicates that there are only a few strains that comprise most of the species abundances. IMPORTANCE Ocean and estuarine microbiomes play critical roles in global element cycling and ecosystem function. Despite the importance of these microbial communities, many species still have not been cultured in the lab. Environmental sequencing is the primary way the function and population dynamics of these communities can be studied. Long-read sequencing provides an avenue to overcome limitations of short-read technologies to obtain complete microbial genomes but comes with its own technical challenges, such as needed sequencing depth and obtaining high-quality DNA. We present here new sampling and bioinformatics methods to attempt decomposing an estuarine microbiome into its constituent genomes. Our results suggest there are only a few strains that comprise most of the species abundances from viruses to picoeukaryotes, and to fully decompose a metagenome of this diversity requires 1 Tbp of long-read sequencing. We anticipate that as long-read sequencing technologies continue to improve, less sequencing will be needed.
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Affiliation(s)
- Lauren M Lui
- Environmental Genomics and Systems Biology Division, Lawrence Berkeley National Laboratory, Berkeley, California, USA
| | - Torben N Nielsen
- Environmental Genomics and Systems Biology Division, Lawrence Berkeley National Laboratory, Berkeley, California, USA
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2
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Djeghout B, Le-Viet T, Martins LDO, Savva GM, Evans R, Baker D, Page A, Elumogo N, Wain J, Janecko N. Capturing clinically relevant Campylobacter attributes through direct whole genome sequencing of stool. Microb Genom 2024; 10. [PMID: 39213166 DOI: 10.1099/mgen.0.001284] [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: 09/04/2024] Open
Abstract
Campylobacter is the leading bacterial cause of infectious intestinal disease, but the pathogen typically accounts for a very small proportion of the overall stool microbiome in each patient. Diagnosis is even more difficult due to the fastidious nature of Campylobacter in the laboratory setting. This has, in part, driven a change in recent years, from culture-based to rapid PCR-based diagnostic assays which have improved diagnostic detection, whilst creating a knowledge gap in our clinical and epidemiological understanding of Campylobacter genotypes - no isolates to sequence. In this study, direct metagenomic sequencing approaches were used to assess the possibility of replacing genome sequences with metagenome sequences; metagenomic sequencing outputs were used to describe clinically relevant attributes of Campylobacter genotypes. A total of 37 diarrhoeal stool samples with Campylobacter and five samples with an unknown pathogen result were collected and processed with and without filtration, DNA was extracted, and metagenomes were sequenced by short-read sequencing. Culture-based methods were used to validate Campylobacter metagenome-derived genome (MDG) results. Sequence output metrics were assessed for Campylobacter genome quality and accuracy of characterization. Of the 42 samples passing quality checks for analysis, identification of Campylobacter to the genus and species level was dependent on Campylobacter genome read count, coverage and genome completeness. A total of 65% (24/37) of samples were reliably identified to the genus level through Campylobacter MDG, 73% (27/37) by culture and 97% (36/37) by qPCR. The Campylobacter genomes with a genome completeness of over 60% (n=21) were all accurately identified at the species level (100%). Of those, 72% (15/21) were identified to sequence types (STs), and 95% (20/21) accurately identified antimicrobial resistance (AMR) gene determinants. Filtration of stool samples enhanced Campylobacter MDG recovery and genome quality metrics compared to the corresponding unfiltered samples, which improved the identification of STs and AMR profiles. The phylogenetic analysis in this study demonstrated the clustering of the metagenome-derived with culture-derived genomes and revealed the reliability of genomes from direct stool sequencing. Furthermore, Campylobacter genome spiking percentages ranging from 0 to 2% total metagenome abundance in the ONT MinION sequencer, configured to adaptive sequencing, exhibited better assembly quality and accurate identification of STs, particularly in the analysis of metagenomes containing 2 and 1% of Campylobacter jejuni genomes. Direct sequencing of Campylobacter from stool samples provides clinically relevant and epidemiologically important genomic information without the reliance on cultured genomes.
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Affiliation(s)
- Bilal Djeghout
- Quadram Institute Bioscience, Norwich Research Park, Norwich NR4 7UQ, UK
| | - Thanh Le-Viet
- Quadram Institute Bioscience, Norwich Research Park, Norwich NR4 7UQ, UK
| | | | - George M Savva
- Quadram Institute Bioscience, Norwich Research Park, Norwich NR4 7UQ, UK
| | - Rhiannon Evans
- Quadram Institute Bioscience, Norwich Research Park, Norwich NR4 7UQ, UK
| | - David Baker
- Quadram Institute Bioscience, Norwich Research Park, Norwich NR4 7UQ, UK
| | - Andrew Page
- Quadram Institute Bioscience, Norwich Research Park, Norwich NR4 7UQ, UK
| | - Ngozi Elumogo
- Quadram Institute Bioscience, Norwich Research Park, Norwich NR4 7UQ, UK
- Eastern Pathology Alliance, Norfolk and Norwich University Hospital, Norwich NR4 7UY, UK
| | - John Wain
- Quadram Institute Bioscience, Norwich Research Park, Norwich NR4 7UQ, UK
- Norwich Medical School, University of East Anglia, Norwich NR4 7TJ, UK
| | - Nicol Janecko
- Quadram Institute Bioscience, Norwich Research Park, Norwich NR4 7UQ, UK
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3
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Chen Z, Grim CJ, Ramachandran P, Meng J. Advancing metagenome-assembled genome-based pathogen identification: unraveling the power of long-read assembly algorithms in Oxford Nanopore sequencing. Microbiol Spectr 2024; 12:e0011724. [PMID: 38687063 PMCID: PMC11237517 DOI: 10.1128/spectrum.00117-24] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/22/2024] [Accepted: 04/05/2024] [Indexed: 05/02/2024] Open
Abstract
Oxford Nanopore sequencing is one of the high-throughput sequencing technologies that facilitates the reconstruction of metagenome-assembled genomes (MAGs). This study aimed to assess the potential of long-read assembly algorithms in Oxford Nanopore sequencing to enhance the MAG-based identification of bacterial pathogens using both simulated and mock communities. Simulated communities were generated to mimic those on fresh spinach and in surface water. Long reads were produced using R9.4.1+SQK-LSK109 and R10.4 + SQK-LSK112, with 0.5, 1, and 2 million reads. The simulated bacterial communities included multidrug-resistant Salmonella enterica serotypes Heidelberg, Montevideo, and Typhimurium in the fresh spinach community individually or in combination, as well as multidrug-resistant Pseudomonas aeruginosa in the surface water community. Real data sets of the ZymoBIOMICS HMW DNA Standard were also studied. A bioinformatic pipeline (MAGenie, freely available at https://github.com/jackchen129/MAGenie) that combines metagenome assembly, taxonomic classification, and sequence extraction was developed to reconstruct draft MAGs from metagenome assemblies. Five assemblers were evaluated based on a series of genomic analyses. Overall, Flye outperformed the other assemblers, followed by Shasta, Raven, and Unicycler, while Canu performed least effectively. In some instances, the extracted sequences resulted in draft MAGs and provided the locations and structures of antimicrobial resistance genes and mobile genetic elements. Our study showcases the viability of utilizing the extracted sequences for precise phylogenetic inference, as demonstrated by the consistent alignment of phylogenetic topology between the reference genome and the extracted sequences. R9.4.1+SQK-LSK109 was more effective in most cases than R10.4+SQK-LSK112, and greater sequencing depths generally led to more accurate results.IMPORTANCEBy examining diverse bacterial communities, particularly those housing multiple Salmonella enterica serotypes, this study holds significance in uncovering the potential of long-read assembly algorithms to improve metagenome-assembled genome (MAG)-based pathogen identification through Oxford Nanopore sequencing. Our research demonstrates that long-read assembly stands out as a promising avenue for boosting precision in MAG-based pathogen identification, thus advancing the development of more robust surveillance measures. The findings also support ongoing endeavors to fine-tune a bioinformatic pipeline for accurate pathogen identification within complex metagenomic samples.
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Affiliation(s)
- Zhao Chen
- Joint Institute for Food Safety and Applied Nutrition, Center for Food Safety and Security Systems, University of Maryland, College Park, Maryland, USA
| | - Christopher J. Grim
- Center for Food Safety and Applied Nutrition, United States Food and Drug Administration, College Park, Maryland, USA
| | - Padmini Ramachandran
- Center for Food Safety and Applied Nutrition, United States Food and Drug Administration, College Park, Maryland, USA
| | - Jianghong Meng
- Joint Institute for Food Safety and Applied Nutrition, Center for Food Safety and Security Systems, University of Maryland, College Park, Maryland, USA
- Department of Nutrition and Food Science, University of Maryland, College Park, Maryland, USA
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4
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Azevedo I, Barbosa J, Albano H, Nogueira T, Teixeira P. Lactic Acid Bacteria isolated from traditional and innovative alheiras as potential biocontrol agents. Food Microbiol 2024; 119:104450. [PMID: 38225051 DOI: 10.1016/j.fm.2023.104450] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/10/2023] [Revised: 12/07/2023] [Accepted: 12/09/2023] [Indexed: 01/17/2024]
Abstract
From a selection of seven traditional and 14 innovative alheiras, 491 lactic acid bacteria (LAB) were isolated and tested for their antimicrobial activity against several food-borne pathogens. Among these, six strains revealed antimicrobial activity through potential bacteriocin production against 14 Listeria monocytogenes strains, Enterococcus faecalis ATCC 29212, Clostridium sporogenes ESB050, and Clostridium perfringens ESB054. Through whole genome sequencing (WGS), these strains were identified as Lactiplantibacillus plantarum (2), Leuconostoc mesenteroides (1), and Pediococcus acidilactici (3). Furthermore, several orthologues of class II bacteriocins genes were identified, including Plantaricin E, Plantaricin F, Pediocin PA, Enterocin X, Leucocin A, and Coagulin A. No virulence or antibiotic resistance genes' orthologues were detected by WGS analysis. However, the selected LAB strains showed variable phenotypic patterns related to virulence genes and antibiotic resistance when assessed through classical methodologies. None of these strains demonstrated the production of biogenic amines, gelatinase or DNase. Additionally, no hemolytic activity or lipase enzyme production was observed. However, only Lpb. plantarum 9A3 was sensitive to all tested antibiotics and was thus chosen for further examination. The bacteriocins produced by Lpb. plantarum (9A3) exhibited stability across a broad range of conditions, including temperatures from 4 to 100 °C, pH values ranging from 2 to 8, exposure to surfactants and detergents (Tween 20 and 80, SDS, EDTA 0.1, 2 and 5 mM, urea and sodium deoxycholate), and enzymes (papain and catalase). Their maximum activity (AU/mL = 12,800) against four L. monocytogenes strains was observed between 21 and 36 h of growth of Lbp. plantarum 9A3, indicating a bacteriostatic mode of action. Therefore, this strain appears to be a robust candidate for potential application as a protective strain to be used in the food industry. Not only is it safe, but it also produces stable bacteriocins (harbouring genes encoding for the production of three) effectively inhibiting significant pathogens such as L. monocytogenes and C. perfringens.
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Affiliation(s)
- Inês Azevedo
- Universidade Católica Portuguesa, CBQF - Centro de Biotecnologia e Química Fina - Laboratório Associado, Escola Superior de Biotecnologia, Porto, Portugal
| | - Joana Barbosa
- Universidade Católica Portuguesa, CBQF - Centro de Biotecnologia e Química Fina - Laboratório Associado, Escola Superior de Biotecnologia, Porto, Portugal.
| | - Helena Albano
- Escola Superior de Enfermagem de Coimbra, Portugal; Instituto Politécnico de Viana do Castelo, Escola Superior Agrária, Refóios, 4990-706 Ponte de Lima, Portugal
| | - Teresa Nogueira
- Instituto Nacional de Investigação Agrária e Veterinária, I.P., 2780-157, Oeiras, 4485-655, Vairão, Portugal; CE3c - Centre for Ecology, Evolution and Environmental Changes & CHANGE - Global Change and Sustainability Institute, Faculdade de Ciências da Universidade de Lisboa, 1749-016, Lisboa, Portugal
| | - Paula Teixeira
- Universidade Católica Portuguesa, CBQF - Centro de Biotecnologia e Química Fina - Laboratório Associado, Escola Superior de Biotecnologia, Porto, Portugal
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5
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Chen L, Banfield JF. COBRA improves the completeness and contiguity of viral genomes assembled from metagenomes. Nat Microbiol 2024; 9:737-750. [PMID: 38321183 PMCID: PMC10914622 DOI: 10.1038/s41564-023-01598-2] [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: 06/06/2023] [Accepted: 12/19/2023] [Indexed: 02/08/2024]
Abstract
Viruses are often studied using metagenome-assembled sequences, but genome incompleteness hampers comprehensive and accurate analyses. Contig Overlap Based Re-Assembly (COBRA) resolves assembly breakpoints based on the de Bruijn graph and joins contigs. Here we benchmarked COBRA using ocean and soil viral datasets. COBRA accurately joined the assembled sequences and achieved notably higher genome accuracy than binning tools. From 231 published freshwater metagenomes, we obtained 7,334 bacteriophage clusters, ~83% of which represent new phage species. Notably, ~70% of these were circular, compared with 34% before COBRA analyses. We expanded sampling of huge phages (≥200 kbp), the largest of which was curated to completion (717 kbp). Improved phage genomes from Rotsee Lake provided context for metatranscriptomic data and indicated the in situ activity of huge phages, whiB-encoding phages and cysC- and cysH-encoding phages. COBRA improves viral genome assembly contiguity and completeness, thus the accuracy and reliability of analyses of gene content, diversity and evolution.
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Affiliation(s)
- LinXing Chen
- Department of Earth and Planetary Sciences, University of California, Berkeley, Berkeley, CA, USA.
- Innovative Genomics Institute, University of California, Berkeley, Berkeley, CA, USA.
| | - Jillian F Banfield
- Department of Earth and Planetary Sciences, University of California, Berkeley, Berkeley, CA, USA.
- Innovative Genomics Institute, University of California, Berkeley, Berkeley, CA, USA.
- Department of Plant and Microbial Biology, University of California, Berkeley, Berkeley, CA, USA.
- Department of Environmental Science Policy, and Management, University of California, Berkeley, Berkeley, CA, USA.
- Earth and Environmental Sciences, Lawrence Berkeley National Laboratory, Berkeley, CA, USA.
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6
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Chen M, Trotter VV, Walian PJ, Chen Y, Lopez R, Lui LM, Nielsen TN, Malana RG, Thorgersen MP, Hendrickson AJ, Carion H, Deutschbauer AM, Petzold CJ, Smith HJ, Arkin AP, Adams MWW, Fields MW, Chakraborty R. Molecular mechanisms and environmental adaptations of flagellar loss and biofilm growth of Rhodanobacter under environmental stress. THE ISME JOURNAL 2024; 18:wrae151. [PMID: 39113613 PMCID: PMC11410051 DOI: 10.1093/ismejo/wrae151] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/22/2024] [Revised: 07/22/2024] [Accepted: 08/07/2024] [Indexed: 09/20/2024]
Abstract
Biofilms aid bacterial adhesion to surfaces via direct and indirect mechanisms, and formation of biofilms is considered as an important strategy for adaptation and survival in suboptimal environmental conditions. However, the molecular underpinnings of biofilm formation in subsurface sediment/groundwater ecosystems where microorganisms often experience fluctuations in nutrient input, pH, and nitrate or metal concentrations are underexplored. We examined biofilm formation under different nutrient, pH, metal, and nitrate regimens of 16 Rhodanobacter strains isolated from subsurface groundwater wells spanning diverse levels of pH (3.5 to 5) and nitrates (13.7 to 146 mM). Eight Rhodanobacter strains demonstrated significant biofilm growth under low pH, suggesting adaptations for survival and growth at low pH. Biofilms were intensified under aluminum stress, particularly in strains possessing fewer genetic traits associated with biofilm formation, findings warranting further investigation. Through random barcode transposon-site sequencing (RB-TnSeq), proteomics, use of specific mutants, and transmission electron microscopy analysis, we discovered flagellar loss under aluminum stress, indicating a potential relationship between motility, metal tolerance, and biofilm growth. Comparative genomic analyses revealed the absence of flagella and chemotaxis genes and the presence of a putative type VI secretion system in the highly biofilm-forming strain FW021-MT20. In this study we identified genetic determinants associated with biofilm growth under metal stress in a predominant environmental genus, Rhodanobacter, and identified traits aiding survival and adaptation to contaminated subsurface environments.
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Affiliation(s)
- Mingfei Chen
- Department of Ecology, Earth & Environmental Sciences Area, Lawrence Berkeley National Laboratory, Berkeley, CA, 94720, USA
| | - Valentine V Trotter
- Division of Environmental Genomics and Systems Biology, Lawrence Berkeley National Laboratory, Berkeley, CA, 94720, USA
| | - Peter J Walian
- Molecular Biophysics and Integrated Bioimaging, Lawrence Berkeley National Laboratory, Berkeley, CA, 94720, USA
| | - Yan Chen
- Biological Systems and Engineering, Lawrence Berkeley National Laboratory, Berkeley, CA, 94720, USA
| | - Romario Lopez
- Department of Ecology, Earth & Environmental Sciences Area, Lawrence Berkeley National Laboratory, Berkeley, CA, 94720, USA
| | - Lauren M Lui
- Division of Environmental Genomics and Systems Biology, Lawrence Berkeley National Laboratory, Berkeley, CA, 94720, USA
| | - Torben N Nielsen
- Division of Environmental Genomics and Systems Biology, Lawrence Berkeley National Laboratory, Berkeley, CA, 94720, USA
| | - Ria Gracielle Malana
- Department of Ecology, Earth & Environmental Sciences Area, Lawrence Berkeley National Laboratory, Berkeley, CA, 94720, USA
| | - Michael P Thorgersen
- Department of Biochemistry and Molecular Biology, University of Georgia, Athens, GA, 30602, USA
| | - Andrew J Hendrickson
- Division of Environmental Genomics and Systems Biology, Lawrence Berkeley National Laboratory, Berkeley, CA, 94720, USA
| | - Héloïse Carion
- Division of Environmental Genomics and Systems Biology, Lawrence Berkeley National Laboratory, Berkeley, CA, 94720, USA
| | - Adam M Deutschbauer
- Division of Environmental Genomics and Systems Biology, Lawrence Berkeley National Laboratory, Berkeley, CA, 94720, USA
- Department of Plant and Microbial Biology, University of California, Berkeley, Berkeley, CA, 94720, USA
| | - Christopher J Petzold
- Biological Systems and Engineering, Lawrence Berkeley National Laboratory, Berkeley, CA, 94720, USA
| | - Heidi J Smith
- Center for Biofilm Engineering and Department of Microbiology and Cell Biology, Montana State University, Bozeman, MT, 59717, USA
| | - Adam P Arkin
- Division of Environmental Genomics and Systems Biology, Lawrence Berkeley National Laboratory, Berkeley, CA, 94720, USA
- Department of Bioengineering, University of California, Berkeley, CA, 94720, USA
| | - Michael W W Adams
- Department of Biochemistry and Molecular Biology, University of Georgia, Athens, GA, 30602, USA
| | - Matthew W Fields
- Center for Biofilm Engineering and Department of Microbiology and Cell Biology, Montana State University, Bozeman, MT, 59717, USA
| | - Romy Chakraborty
- Department of Ecology, Earth & Environmental Sciences Area, Lawrence Berkeley National Laboratory, Berkeley, CA, 94720, USA
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Goff JL, Lui LM, Nielsen TN, Poole FL, Smith HJ, Walker KF, Hazen TC, Fields MW, Arkin AP, Adams MWW. Mixed waste contamination selects for a mobile genetic element population enriched in multiple heavy metal resistance genes. ISME COMMUNICATIONS 2024; 4:ycae064. [PMID: 38800128 PMCID: PMC11128244 DOI: 10.1093/ismeco/ycae064] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 11/22/2023] [Revised: 03/11/2024] [Indexed: 05/29/2024]
Abstract
Mobile genetic elements (MGEs) like plasmids, viruses, and transposable elements can provide fitness benefits to their hosts for survival in the presence of environmental stressors. Heavy metal resistance genes (HMRGs) are frequently observed on MGEs, suggesting that MGEs may be an important driver of adaptive evolution in environments contaminated with heavy metals. Here, we report the meta-mobilome of the heavy metal-contaminated regions of the Oak Ridge Reservation subsurface. This meta-mobilome was compared with one derived from samples collected from unimpacted regions of the Oak Ridge Reservation subsurface. We assembled 1615 unique circularized DNA elements that we propose to be MGEs. The circular elements from the highly contaminated subsurface were enriched in HMRG clusters relative to those from the nearby unimpacted regions. Additionally, we found that these HMRGs were associated with Gamma and Betaproteobacteria hosts in the contaminated subsurface and potentially facilitate the persistence and dominance of these taxa in this region. Finally, the HMRGs were associated with conjugative elements, suggesting their potential for future lateral transfer. We demonstrate how our understanding of MGE ecology, evolution, and function can be enhanced through the genomic context provided by completed MGE assemblies.
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Affiliation(s)
- Jennifer L Goff
- Department of Biochemistry and Molecular Biology, University of Georgia, Athens, GA 30602, United States
- Department of Chemistry, State University of New York College of Environmental Science and Forestry, Syracuse, NY 13210, United States
| | - Lauren M Lui
- Environmental Genomics and Systems Biology Division, E.O. Lawrence Berkeley National Laboratory, Berkeley, CA 94720, United States
| | - Torben N Nielsen
- Environmental Genomics and Systems Biology Division, E.O. Lawrence Berkeley National Laboratory, Berkeley, CA 94720, United States
| | - Farris L Poole
- Department of Biochemistry and Molecular Biology, University of Georgia, Athens, GA 30602, United States
| | - Heidi J Smith
- Center for Biofilm Engineering, Montana State University, Bozeman, MT 59717, United States
- Department of Microbiology and Cell Biology, Montana State University, Bozeman, MT 59717, United States
| | - Kathleen F Walker
- Department of Civil and Environmental Engineering, University of Tennessee, Knoxville, TN 37916, United States
| | - Terry C Hazen
- Department of Civil and Environmental Engineering, University of Tennessee, Knoxville, TN 37916, United States
- Genome Sciences Division, Oak Ridge National Laboratory, Oak Ridge, TN 37830, United States
| | - Matthew W Fields
- Center for Biofilm Engineering, Montana State University, Bozeman, MT 59717, United States
- Department of Microbiology and Cell Biology, Montana State University, Bozeman, MT 59717, United States
| | - Adam P Arkin
- Environmental Genomics and Systems Biology Division, E.O. Lawrence Berkeley National Laboratory, Berkeley, CA 94720, United States
- Department of Bioengineering, University of California, Berkeley, CA 94720, United States
| | - Michael W W Adams
- Department of Biochemistry and Molecular Biology, University of Georgia, Athens, GA 30602, United States
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Wang Y, Berthold DE, Hu J, Lefler FW, Huang IS, Laughinghouse HD. Novel diversity within Roseofilum (Desertifilaceae, Cyanobacteria) from marine benthic mats with description of four new species. JOURNAL OF PHYCOLOGY 2023; 59:1147-1165. [PMID: 37824435 DOI: 10.1111/jpy.13392] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/24/2023] [Revised: 08/09/2023] [Accepted: 09/07/2023] [Indexed: 10/14/2023]
Abstract
Benthic cyanobacterial mats (BCMs) are natural phenomena in marine environments. Reports of BCMs occurring across coastal marine environments have increased, partly driven by nutrient loading and climate change; thus, there is a need to understand the diversity involved in the proliferations and potential toxicity of the BCMs. Furthermore, marine cyanobacterial mats are observed growing on and affecting the health of corals with one specific cyanobacterial genus, Roseofilum, dominating the microbial mats associated with black band disease (BBD), a destructive polymicrobial disease that affects corals. To explore the diversity of Roseofilum, cyanobacterial mats from various marine habitats were sampled, and individual isolates were identified based on morphology, 16S rRNA gene phylogenies, 16S-23S ITS rRNA region sequence dissimilarities, and phylogenomics. Four novel species of Roseofilum were isolated from benthic marine mats, three from the coasts of Florida, United States (R. capinflatum sp. nov., R. casamattae sp. nov., and R. acuticapitatum sp. nov.) and one from the coast of France (R. halophilum sp. nov.). Our analyses revealed that Roseofilum associated with coral BBD and those not associated with corals but rather from coastal benthic mats are systematically distinct based on both phylogenetic and phylogenomic analyses. Enzyme-linked immunosorbent assay (ELISA) and LC-MS data indicated that microcystin production was found in one of the four species.
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Affiliation(s)
- Yi Wang
- Fort Lauderdale Research and Education Center, University of Florida - IFAS, Davie, Florida, USA
| | - David E Berthold
- Fort Lauderdale Research and Education Center, University of Florida - IFAS, Davie, Florida, USA
| | - Jing Hu
- Fort Lauderdale Research and Education Center, University of Florida - IFAS, Davie, Florida, USA
- Department of Marine Science, Ocean College, Zhejiang University, Zhoushan, People's Republic of China
| | - Forrest W Lefler
- Fort Lauderdale Research and Education Center, University of Florida - IFAS, Davie, Florida, USA
| | - I-Shuo Huang
- Office of Regulatory Science, United States Food and Drug Administration, Center for Food Safety and Applied Nutrition, College Park, Maryland, USA
| | - H Dail Laughinghouse
- Fort Lauderdale Research and Education Center, University of Florida - IFAS, Davie, Florida, USA
- Department of Botany, National Musuem of Natural History, Smithsonian Institution, Washington, DC, USA
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9
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Chklovski A, Parks DH, Woodcroft BJ, Tyson GW. CheckM2: a rapid, scalable and accurate tool for assessing microbial genome quality using machine learning. Nat Methods 2023; 20:1203-1212. [PMID: 37500759 DOI: 10.1038/s41592-023-01940-w] [Citation(s) in RCA: 136] [Impact Index Per Article: 136.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2022] [Accepted: 06/14/2023] [Indexed: 07/29/2023]
Abstract
Advances in sequencing technologies and bioinformatics tools have dramatically increased the recovery rate of microbial genomes from metagenomic data. Assessing the quality of metagenome-assembled genomes (MAGs) is a critical step before downstream analysis. Here, we present CheckM2, an improved method of predicting genome quality of MAGs using machine learning. Using synthetic and experimental data, we demonstrate that CheckM2 outperforms existing tools in both accuracy and computational speed. In addition, CheckM2's database can be rapidly updated with new high-quality reference genomes, including taxa represented only by a single genome. We also show that CheckM2 accurately predicts genome quality for MAGs from novel lineages, even for those with reduced genome size (for example, Patescibacteria and the DPANN superphylum). CheckM2 provides accurate genome quality predictions across bacterial and archaeal lineages, giving increased confidence when inferring biological conclusions from MAGs.
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Affiliation(s)
- Alex Chklovski
- Centre for Microbiome Research, School of Biomedical Sciences, Queensland University of Technology, Translational Research Institute, Woolloongabba, Queensland, Australia
| | - Donovan H Parks
- Donovan Parks, Bioinformatic Consultant, Castlegar, British Columbia, Canada
| | - Ben J Woodcroft
- Centre for Microbiome Research, School of Biomedical Sciences, Queensland University of Technology, Translational Research Institute, Woolloongabba, Queensland, Australia
| | - Gene W Tyson
- Centre for Microbiome Research, School of Biomedical Sciences, Queensland University of Technology, Translational Research Institute, Woolloongabba, Queensland, Australia.
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10
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Wu X, Gushgari-Doyle S, Lui LM, Hendrickson AJ, Liu Y, Jagadamma S, Nielsen TN, Justice NB, Simmons T, Hess NJ, Joyner DC, Hazen TC, Arkin AP, Chakraborty R. Distinct Depth-Discrete Profiles of Microbial Communities and Geochemical Insights in the Subsurface Critical Zone. Appl Environ Microbiol 2023; 89:e0050023. [PMID: 37272792 PMCID: PMC10304653 DOI: 10.1128/aem.00500-23] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2023] [Accepted: 04/16/2023] [Indexed: 06/06/2023] Open
Abstract
Microbial assembly and metabolic potential in the subsurface critical zone (SCZ) are substantially impacted by subsurface geochemistry and hydrogeology, selecting for microbes distinct from those in surficial soils. In this study, we integrated metagenomics and geochemistry to elucidate how microbial composition and metabolic potential are shaped and impacted by vertical variations in geochemistry and hydrogeology in terrestrial subsurface sediment. A sediment core from an uncontaminated, pristine well at Oak Ridge Field Research Center in Oak Ridge, Tennessee, including the shallow subsurface, vadose zone, capillary fringe, and saturated zone, was used in this study. Our results showed that subsurface microbes were highly localized and that communities were rarely interconnected. Microbial community composition as well as metabolic potential in carbon and nitrogen cycling varied even over short vertical distances. Further analyses indicated a strong depth-related covariation of community composition with a subset of 12 environmental variables. An analysis of dissolved organic carbon (DOC) quality via ultrahigh resolution mass spectrometry suggested that the SCZ was generally a low-carbon environment, with the relative portion of labile DOC decreasing and that of recalcitrant DOC increasing along the depth, selecting microbes from copiotrophs to oligotrophs and also impacting the microbial metabolic potential in the carbon cycle. Our study demonstrates that sediment geochemistry and hydrogeology are vital in the selection of distinct microbial populations and metabolism in the SCZ. IMPORTANCE In this study, we explored the links between geochemical parameters, microbial community structure and metabolic potential across the depth of sediment, including the shallow subsurface, vadose zone, capillary fringe, and saturated zone. Our results revealed that microbes in the terrestrial subsurface can be highly localized, with communities rarely being interconnected along the depth. Overall, our research demonstrates that sediment geochemistry and hydrogeology are vital in the selection of distinct microbial populations and metabolic potential in different depths of subsurface terrestrial sediment. Such studies correlating microbial community analyses and geochemistry analyses, including high resolution mass spectrometry analyses of natural organic carbon, will further the fundamental understanding of microbial ecology and biogeochemistry in subsurface terrestrial ecosystems and will benefit the future development of predictive models on nutrient turnover in these environments.
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Affiliation(s)
- Xiaoqin Wu
- Climate and Ecosystem Sciences Division, Lawrence Berkeley National Laboratory, Berkeley, California, USA
| | - Sara Gushgari-Doyle
- Climate and Ecosystem Sciences Division, Lawrence Berkeley National Laboratory, Berkeley, California, USA
| | - Lauren M. Lui
- Environmental Genomics and Systems Biology Division, Lawrence Berkeley National Laboratory, Berkeley, California, USA
| | - Andrew J. Hendrickson
- Environmental Genomics and Systems Biology Division, Lawrence Berkeley National Laboratory, Berkeley, California, USA
| | - Yina Liu
- Department of Oceanography, Texas A&M University, College Station, Texas, USA
- Environmental Molecular Sciences Laboratory, Pacific Northwest National Laboratory, Richland, Washington, USA
| | | | - Torben N. Nielsen
- Environmental Genomics and Systems Biology Division, Lawrence Berkeley National Laboratory, Berkeley, California, USA
| | - Nicholas B. Justice
- Environmental Genomics and Systems Biology Division, Lawrence Berkeley National Laboratory, Berkeley, California, USA
| | - Tuesday Simmons
- University of California, Berkeley, Berkeley, California, USA
| | - Nancy J. Hess
- Environmental Molecular Sciences Laboratory, Pacific Northwest National Laboratory, Richland, Washington, USA
| | | | - Terry C. Hazen
- University of Tennessee, Knoxville, Tennessee, USA
- Oak Ridge National Laboratory, Oak Ridge, Tennessee, USA
| | - Adam P. Arkin
- Environmental Genomics and Systems Biology Division, Lawrence Berkeley National Laboratory, Berkeley, California, USA
- University of California, Berkeley, Berkeley, California, USA
| | - Romy Chakraborty
- Climate and Ecosystem Sciences Division, Lawrence Berkeley National Laboratory, Berkeley, California, USA
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11
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Becker D, Popp D, Bonk F, Kleinsteuber S, Harms H, Centler F. Metagenomic Analysis of Anaerobic Microbial Communities Degrading Short-Chain Fatty Acids as Sole Carbon Sources. Microorganisms 2023; 11:microorganisms11020420. [PMID: 36838385 PMCID: PMC9959488 DOI: 10.3390/microorganisms11020420] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/17/2023] [Accepted: 02/04/2023] [Indexed: 02/11/2023] Open
Abstract
Analyzing microbial communities using metagenomes is a powerful approach to understand compositional structures and functional connections in anaerobic digestion (AD) microbiomes. Whereas short-read sequencing approaches based on the Illumina platform result in highly fragmented metagenomes, long-read sequencing leads to more contiguous assemblies. To evaluate the performance of a hybrid approach of these two sequencing approaches we compared the metagenome-assembled genomes (MAGs) resulting from five AD microbiome samples. The samples were taken from reactors fed with short-chain fatty acids at different feeding regimes (continuous and discontinuous) and organic loading rates (OLR). Methanothrix showed a high relative abundance at all feeding regimes but was strongly reduced in abundance at higher OLR, when Methanosarcina took over. The bacterial community composition differed strongly between reactors of different feeding regimes and OLRs. However, the functional potential was similar regardless of feeding regime and OLR. The hybrid sequencing approach using Nanopore long-reads and Illumina MiSeq reads improved assembly statistics, including an increase of the N50 value (on average from 32 to 1740 kbp) and an increased length of the longest contig (on average from 94 to 1898 kbp). The hybrid approach also led to a higher share of high-quality MAGs and generated five potentially circular genomes while none were generated using MiSeq-based contigs only. Finally, 27 hybrid MAGs were reconstructed of which 18 represent potentially new species-15 of them bacterial species. During pathway analysis, selected MAGs revealed similar gene patterns of butyrate degradation and might represent new butyrate-degrading bacteria. The demonstrated advantages of adding long reads to metagenomic analyses make the hybrid approach the preferable option when dealing with complex microbiomes.
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Affiliation(s)
- Daniela Becker
- UFZ—Helmholtz Centre for Environmental Research, Department of Environmental Microbiology, Permoserstr 15, 04318 Leipzig, Germany
- IAV GmbH, Kauffahrtei 23-25, 09120 Chemnitz, Germany
| | - Denny Popp
- UFZ—Helmholtz Centre for Environmental Research, Department of Environmental Microbiology, Permoserstr 15, 04318 Leipzig, Germany
- Institute of Human Genetics, University of Leipzig Medical Center, Philipp-Rosenthal-Str. 55, 04103 Leipzig, Germany
| | - Fabian Bonk
- UFZ—Helmholtz Centre for Environmental Research, Department of Environmental Microbiology, Permoserstr 15, 04318 Leipzig, Germany
- VERBIO Vereinigte Bioenergie AG, Thura Mark 18, 06780 Zörbig, Germany
| | - Sabine Kleinsteuber
- UFZ—Helmholtz Centre for Environmental Research, Department of Environmental Microbiology, Permoserstr 15, 04318 Leipzig, Germany
| | - Hauke Harms
- UFZ—Helmholtz Centre for Environmental Research, Department of Environmental Microbiology, Permoserstr 15, 04318 Leipzig, Germany
| | - Florian Centler
- UFZ—Helmholtz Centre for Environmental Research, Department of Environmental Microbiology, Permoserstr 15, 04318 Leipzig, Germany
- School of Life Sciences, University of Siegen, 57076 Siegen, Germany
- Correspondence:
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12
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Metagenome-assembled genome extraction and analysis from microbiomes using KBase. Nat Protoc 2023; 18:208-238. [PMID: 36376589 DOI: 10.1038/s41596-022-00747-x] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/07/2021] [Accepted: 06/28/2022] [Indexed: 11/16/2022]
Abstract
Uncultivated Bacteria and Archaea account for the vast majority of species on Earth, but obtaining their genomes directly from the environment, using shotgun sequencing, has only become possible recently. To realize the hope of capturing Earth's microbial genetic complement and to facilitate the investigation of the functional roles of specific lineages in a given ecosystem, technologies that accelerate the recovery of high-quality genomes are necessary. We present a series of analysis steps and data products for the extraction of high-quality metagenome-assembled genomes (MAGs) from microbiomes using the U.S. Department of Energy Systems Biology Knowledgebase (KBase) platform ( http://www.kbase.us/ ). Overall, these steps take about a day to obtain extracted genomes when starting from smaller environmental shotgun read libraries, or up to about a week from larger libraries. In KBase, the process is end-to-end, allowing a user to go from the initial sequencing reads all the way through to MAGs, which can then be analyzed with other KBase capabilities such as phylogenetic placement, functional assignment, metabolic modeling, pangenome functional profiling, RNA-Seq and others. While portions of such capabilities are available individually from other resources, the combination of the intuitive usability, data interoperability and integration of tools in a freely available computational resource makes KBase a powerful platform for obtaining MAGs from microbiomes. While this workflow offers tools for each of the key steps in the genome extraction process, it also provides a scaffold that can be easily extended with additional MAG recovery and analysis tools, via the KBase software development kit (SDK).
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13
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Ramírez Rojas AA, Swidah R, Schindler D. Microbes of traditional fermentation processes as synthetic biology chassis to tackle future food challenges. Front Bioeng Biotechnol 2022; 10:982975. [PMID: 36185425 PMCID: PMC9523148 DOI: 10.3389/fbioe.2022.982975] [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: 06/30/2022] [Accepted: 08/10/2022] [Indexed: 11/23/2022] Open
Abstract
Microbial diversity is magnificent and essential to almost all life on Earth. Microbes are an essential part of every human, allowing us to utilize otherwise inaccessible resources. It is no surprise that humans started, initially unconsciously, domesticating microbes for food production: one may call this microbial domestication 1.0. Sourdough bread is just one of the miracles performed by microbial fermentation, allowing extraction of more nutrients from flour and at the same time creating a fluffy and delicious loaf. There are a broad range of products the production of which requires fermentation such as chocolate, cheese, coffee and vinegar. Eventually, with the rise of microscopy, humans became aware of microbial life. Today our knowledge and technological advances allow us to genetically engineer microbes - one may call this microbial domestication 2.0. Synthetic biology and microbial chassis adaptation allow us to tackle current and future food challenges. One of the most apparent challenges is the limited space on Earth available for agriculture and its major tolls on the environment through use of pesticides and the replacement of ecosystems with monocultures. Further challenges include transport and packaging, exacerbated by the 24/7 on-demand mentality of many customers. Synthetic biology already tackles multiple food challenges and will be able to tackle many future food challenges. In this perspective article, we highlight recent microbial synthetic biology research to address future food challenges. We further give a perspective on how synthetic biology tools may teach old microbes new tricks, and what standardized microbial domestication could look like.
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14
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Haryono MAS, Law YY, Arumugam K, Liew LCW, Nguyen TQN, Drautz-Moses DI, Schuster SC, Wuertz S, Williams RBH. Recovery of High Quality Metagenome-Assembled Genomes From Full-Scale Activated Sludge Microbial Communities in a Tropical Climate Using Longitudinal Metagenome Sampling. Front Microbiol 2022; 13:869135. [PMID: 35756038 PMCID: PMC9230771 DOI: 10.3389/fmicb.2022.869135] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/03/2022] [Accepted: 05/05/2022] [Indexed: 01/23/2023] Open
Abstract
The analysis of metagenome data based on the recovery of draft genomes (so called metagenome-assembled genomes, or MAG) has assumed an increasingly central role in microbiome research in recent years. Microbial communities underpinning the operation of wastewater treatment plants are particularly challenging targets for MAG analysis due to their high ecological complexity, and remain important, albeit understudied, microbial communities that play ssa key role in mediating interactions between human and natural ecosystems. Here we consider strategies for recovery of MAG sequence from time series metagenome surveys of full-scale activated sludge microbial communities. We generate MAG catalogs from this set of data using several different strategies, including the use of multiple individual sample assemblies, two variations on multi-sample co-assembly and a recently published MAG recovery workflow using deep learning. We obtain a total of just under 9,100 draft genomes, which collapse to around 3,100 non-redundant genomic clusters. We examine the strengths and weaknesses of these approaches in relation to MAG yield and quality, showing that co-assembly may offer advantages over single-sample assembly in the case of metagenome data obtained from closely sampled longitudinal study designs. Around 1,000 MAGs were candidates for being considered high quality, based on single-copy marker gene occurrence statistics, however only 58 MAG formally meet the MIMAG criteria for being high quality draft genomes. These findings carry broader broader implications for performing genome-resolved metagenomics on highly complex communities, the design and implementation of genome recoverability strategies, MAG decontamination and the search for better binning methodology.
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Affiliation(s)
- Mindia A S Haryono
- Singapore Centre for Environmental Life Sciences Engineering, National University of Singapore, Singapore, Singapore
| | - Ying Yu Law
- Singapore Centre for Environmental Life Sciences Engineering, Nanyang Technological University, Singapore, Singapore
| | - Krithika Arumugam
- Singapore Centre for Environmental Life Sciences Engineering, Nanyang Technological University, Singapore, Singapore
| | - Larry C-W Liew
- Singapore Centre for Environmental Life Sciences Engineering, Nanyang Technological University, Singapore, Singapore
| | - Thi Quynh Ngoc Nguyen
- Singapore Centre for Environmental Life Sciences Engineering, Nanyang Technological University, Singapore, Singapore
| | - Daniela I Drautz-Moses
- Singapore Centre for Environmental Life Sciences Engineering, Nanyang Technological University, Singapore, Singapore
| | - Stephan C Schuster
- Singapore Centre for Environmental Life Sciences Engineering, Nanyang Technological University, Singapore, Singapore.,School of Biological Sciences, Nanyang Technological University, Singapore, Singapore
| | - Stefan Wuertz
- Singapore Centre for Environmental Life Sciences Engineering, Nanyang Technological University, Singapore, Singapore.,School of Civil and Environmental Engineering, Nanyang Technological University, Singapore, Singapore
| | - Rohan B H Williams
- Singapore Centre for Environmental Life Sciences Engineering, National University of Singapore, Singapore, Singapore
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15
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Capo E, Monchamp M, Coolen MJL, Domaizon I, Armbrecht L, Bertilsson S. Environmental paleomicrobiology: using DNA preserved in aquatic sediments to its full potential. Environ Microbiol 2022; 24:2201-2209. [PMID: 35049133 PMCID: PMC9304175 DOI: 10.1111/1462-2920.15913] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/29/2021] [Revised: 01/14/2022] [Accepted: 01/16/2022] [Indexed: 11/30/2022]
Abstract
In-depth knowledge about spatial and temporal variation in microbial diversity and function is needed for a better understanding of ecological and evolutionary responses to global change. In particular, the study of microbial ancient DNA preserved in sediment archives from lakes and oceans can help us to evaluate the responses of aquatic microbes in the past and make predictions about future biodiversity change in those ecosystems. Recent advances in molecular genetic methods applied to the analysis of historically deposited DNA in sediments have not only allowed the taxonomic identification of past aquatic microbial communities but also enabled tracing their evolution and adaptation to episodic disturbances and gradual environmental change. Nevertheless, some challenges remain for scientists to take full advantage of the rapidly developing field of paleo-genetics, including the limited ability to detect rare taxa and reconstruct complete genomes for evolutionary studies. Here, we provide a brief review of some of the recent advances in the field of environmental paleomicrobiology and discuss remaining challenges related to the application of molecular genetic methods to study microbial diversity, ecology, and evolution in sediment archives. We anticipate that, in the near future, environmental paleomicrobiology will shed new light on the processes of microbial genome evolution and microbial ecosystem responses to quaternary environmental changes at an unprecedented level of detail. This information can, for example, aid geological reconstructions of biogeochemical cycles and predict ecosystem responses to environmental perturbations, including in the context of human-induced global changes.
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Affiliation(s)
- Eric Capo
- Department of Aquatic Sciences and AssessmentSwedish University of Agricultural SciencesUppsala75007Sweden
| | - Marie‐Eve Monchamp
- Department of BiologyMcGill UniversityMontréalQCH3A 1B1Canada
- Groupe de recherche interuniversitaire en limnologie (GRIL)Canada
| | - Marco J. L. Coolen
- School of Earth and Planetary Sciences (EPS), The institute of geological research (TIGeR), Western Australia Organic and Isotope Geochemistry Centre (WA‐OIGC)Curtin UniversityBentleyWA 6102Australia
| | - Isabelle Domaizon
- INRAE, Université Savoie Mont Blanc, CARRTELThonon les Bains74200France
- UMR CARRTEL, Pôle R&D ECLAThonon les Bains74200France
| | - Linda Armbrecht
- Institute for Marine and Antarctic StudiesUniversity of TasmaniaHobart TAS7004Australia
- Australian Centre for Ancient DNA, School of Biological SciencesThe University of AdelaideAdelaideSA5005Australia
| | - Stefan Bertilsson
- Department of Aquatic Sciences and AssessmentSwedish University of Agricultural SciencesUppsala75007Sweden
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16
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Complete Genome Sequence of Bacillus cereus Strain CPT56D-587-MTF, Isolated from a Nitrate- and Metal-Contaminated Subsurface Environment. Microbiol Resour Announc 2022; 11:e0014522. [PMID: 35475637 PMCID: PMC9119084 DOI: 10.1128/mra.00145-22] [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: 12/03/2022] Open
Abstract
Bacillus cereus strain CPT56D-587-MTF was isolated from nitrate- and toxic metal-contaminated subsurface sediment at the Oak Ridge Reservation (ORR) (Oak Ridge, TN, USA). Here, we report the complete genome sequence of this strain to provide genomic insight into its strategies for survival at this mixed-waste site.
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17
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Wang S, Li G, Liao Z, Cao Y, Yun Y, Su Z, Tian X, Gui Z, Ma T. CnnPOGTP: a novel CNN-based predictor for identifying the optimal growth temperatures of prokaryotes using only genomic k-mers distribution. Bioinformatics 2022; 38:3106-3108. [PMID: 35460223 DOI: 10.1093/bioinformatics/btac289] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/23/2021] [Revised: 04/08/2022] [Accepted: 04/20/2022] [Indexed: 11/14/2022] Open
Abstract
SUMMARY Temperature is very important for the growth of microorganisms. Appropriate temperature conditions can improve the possibility for isolation of currently uncultured microorganisms. The development of metagenomic binning technology had dramatically increased the availability of genomic information of prokaryotes, providing convenience to infer the optimal growth temperature (OGT). Here, we proposed CnnPOGTP, a predictor for optimal growth temperatures of prokaryotes based on deep learning method using only k-mers distribution derived from genomic sequence. This method was annotation free, and the predicted OGT could be obtained by simply providing the genome sequence to the CnnPOGTP website. AVAILABILITY AND IMPLEMENTATION http://www.orgene.net/CnnPOGTP.
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Affiliation(s)
- Shaojing Wang
- Key Laboratory of Molecular Microbiology and Technology, College of Life Sciences, Nankai University, Ministry of Education, Tianjin 300071, China
| | - Guoqiang Li
- Key Laboratory of Molecular Microbiology and Technology, College of Life Sciences, Nankai University, Ministry of Education, Tianjin 300071, China
| | - Zitong Liao
- Key Laboratory of Molecular Microbiology and Technology, College of Life Sciences, Nankai University, Ministry of Education, Tianjin 300071, China
| | - Yunke Cao
- Key Laboratory of Molecular Microbiology and Technology, College of Life Sciences, Nankai University, Ministry of Education, Tianjin 300071, China
| | - Yuan Yun
- Key Laboratory of Molecular Microbiology and Technology, College of Life Sciences, Nankai University, Ministry of Education, Tianjin 300071, China
| | - Zhaoying Su
- Key Laboratory of Molecular Microbiology and Technology, College of Life Sciences, Nankai University, Ministry of Education, Tianjin 300071, China
| | - Xuefeng Tian
- Key Laboratory of Molecular Microbiology and Technology, College of Life Sciences, Nankai University, Ministry of Education, Tianjin 300071, China
| | - Ziyu Gui
- Key Laboratory of Molecular Microbiology and Technology, College of Life Sciences, Nankai University, Ministry of Education, Tianjin 300071, China
| | - Ting Ma
- Key Laboratory of Molecular Microbiology and Technology, College of Life Sciences, Nankai University, Ministry of Education, Tianjin 300071, China
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18
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Altermann E, Tegetmeyer HE, Chanyi RM. The evolution of bacterial genome assemblies - where do we need to go next? MICROBIOME RESEARCH REPORTS 2022; 1:15. [PMID: 38046358 PMCID: PMC10688829 DOI: 10.20517/mrr.2022.02] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 02/05/2022] [Revised: 03/08/2022] [Accepted: 03/24/2022] [Indexed: 12/05/2023]
Abstract
Genome sequencing has fundamentally changed our ability to decipher and understand the genetic blueprint of life and how it changes over time in response to environmental and evolutionary pressures. The pace of sequencing is still increasing in response to advances in technologies, paving the way from sequenced genes to genomes to metagenomes to metagenome-assembled genomes (MAGs). Our ability to interrogate increasingly complex microbial communities through metagenomes and MAGs is opening up a tantalizing future where we may be able to delve deeper into the mechanisms and genetic responses emerging over time. In the near future, we will be able to detect MAG assembly variations within strains originating from diverging sub-populations, and one of the emerging challenges will be to capture these variations in a biologically relevant way. Here, we present a brief overview of sequencing technologies and the current state of metagenome assemblies to suggest the need to develop new data formats that can capture the genetic variations within strains and communities, which previously remained invisible due to sequencing technology limitations.
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Affiliation(s)
- Eric Altermann
- AgResearch Ltd., Private Bag 11008, Palmerston North 4410, New Zealand
- Riddet Institute, Massey University, Private Bag 11222, Palmerston North 4442, New Zealand
- Massey University, School of Veterinary Science, Palmerston North 4100, New Zealand
| | - Halina E. Tegetmeyer
- AgResearch Ltd., Private Bag 11008, Palmerston North 4410, New Zealand
- Center for Biotechnology, Bielefeld University, Universitaetsstrasse 27, Bielefeld 33615, Germany
| | - Ryan M. Chanyi
- AgResearch Ltd., Private Bag 11008, Palmerston North 4410, New Zealand
- Riddet Institute, Massey University, Private Bag 11222, Palmerston North 4442, New Zealand
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19
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Petrone JR, Muñoz-Beristain A, Glusberger PR, Russell JT, Triplett EW. Unamplified, Long-Read Metagenomic Sequencing Approach to Close Endosymbiont Genomes of Low-Biomass Insect Populations. Microorganisms 2022; 10:microorganisms10030513. [PMID: 35336091 PMCID: PMC8948638 DOI: 10.3390/microorganisms10030513] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/17/2021] [Revised: 01/23/2022] [Accepted: 02/23/2022] [Indexed: 02/04/2023] Open
Abstract
With the current advancements in DNA sequencing technology, the limiting factor in long-read metagenomic assemblies is now the quantity and quality of input DNA. Although these requirements can be met through the use of axenic bacterial cultures or large amounts of biological material, insect systems that contain unculturable bacteria or that contain a low amount of available DNA cannot fully utilize the benefits of third-generation sequencing. The citrus greening disease insect vector Diaphorina citri is an example that exhibits both of these limitations. Although endosymbiont genomes have mostly been closed after the short-read sequencing of amplified template DNA, creating de novo long-read genomes from the unamplified DNA of an insect population may benefit communities using bioinformatics to study insect pathosystems. Here all four genomes of the infected D. citri microbiome were sequenced to closure using unamplified template DNA and two long-read sequencing technologies. Avoiding amplification bias and using long reads to assemble the bacterial genomes allowed for the circularization of the Wolbachia endosymbiont of Diaphorina citri for the first time and paralleled the annotation context of all four reference genomes without utilizing a traditional hybrid assembly. The strategies detailed here are suitable for the sequencing of other insect systems for which the input DNA, time, and cost are an issue.
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20
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Setubal JC. Metagenome-assembled genomes: concepts, analogies, and challenges. Biophys Rev 2022; 13:905-909. [PMID: 35059016 DOI: 10.1007/s12551-021-00865-y] [Citation(s) in RCA: 15] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/10/2021] [Accepted: 10/21/2021] [Indexed: 12/25/2022] Open
Abstract
Metagenome-assembled genomes (MAGs) are microbial genomes reconstructed from metagenome data. In the last few years, many thousands of MAGs have been reported in the literature, for a variety of environments and host-associated microbiota, including humans. MAGs have helped us better understand microbial populations and their interactions with the environment where they live; moreover most MAGs belong to novel species, therefore helping to decrease the so-called microbial dark matter. However, questions about the biological reality of MAGs have not, in general, been properly addressed. In this review, I define the notions of hypothetical MAGs and conserved hypothetical MAGs. These notions should help with the understanding of the biological reality of MAGs, their worldwide occurrence, and the efforts to improve MAG recovery processes.
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Affiliation(s)
- João C Setubal
- Departamento de Bioquímica, Instituto de Química, Universidade de São Paulo, SP 05508-000 São Paulo, Brazil
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21
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Jaffe AL, Thomas AD, He C, Keren R, Valentin-Alvarado LE, Munk P, Bouma-Gregson K, Farag IF, Amano Y, Sachdeva R, West PT, Banfield JF. Patterns of Gene Content and Co-occurrence Constrain the Evolutionary Path toward Animal Association in Candidate Phyla Radiation Bacteria. mBio 2021; 12:e0052121. [PMID: 34253055 PMCID: PMC8406219 DOI: 10.1128/mbio.00521-21] [Citation(s) in RCA: 22] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2021] [Accepted: 06/14/2021] [Indexed: 12/20/2022] Open
Abstract
Candidate Phyla Radiation (CPR) bacteria are small, likely episymbiotic organisms found across Earth's ecosystems. Despite their prevalence, the distribution of CPR lineages across habitats and the genomic signatures of transitions among these habitats remain unclear. Here, we expand the genome inventory for Absconditabacteria (SR1), Gracilibacteria, and Saccharibacteria (TM7), CPR bacteria known to occur in both animal-associated and environmental microbiomes, and investigate variation in gene content with habitat of origin. By overlaying phylogeny with habitat information, we show that bacteria from these three lineages have undergone multiple transitions from environmental habitats into animal microbiomes. Based on co-occurrence analyses of hundreds of metagenomes, we extend the prior suggestion that certain Saccharibacteria have broad bacterial host ranges and constrain possible host relationships for Absconditabacteria and Gracilibacteria. Full-proteome analyses show that animal-associated Saccharibacteria have smaller gene repertoires than their environmental counterparts and are enriched in numerous protein families, including those likely functioning in amino acid metabolism, phage defense, and detoxification of peroxide. In contrast, some freshwater Saccharibacteria encode a putative rhodopsin. For protein families exhibiting the clearest patterns of differential habitat distribution, we compared protein and species phylogenies to estimate the incidence of lateral gene transfer and genomic loss occurring over the species tree. These analyses suggest that habitat transitions were likely not accompanied by large transfer or loss events but rather were associated with continuous proteome remodeling. Thus, we speculate that CPR habitat transitions were driven largely by availability of suitable host taxa and were reinforced by acquisition and loss of some capacities. IMPORTANCE Studying the genetic differences between related microorganisms from different environment types can indicate factors associated with their movement among habitats. This is particularly interesting for bacteria from the Candidate Phyla Radiation because their minimal metabolic capabilities require associations with microbial hosts. We found that shifts of Absconditabacteria, Gracilibacteria, and Saccharibacteria between environmental ecosystems and mammalian mouths/guts probably did not involve major episodes of gene gain and loss; rather, gradual genomic change likely followed habitat migration. The results inform our understanding of how little-known microorganisms establish in the human microbiota where they may ultimately impact health.
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Affiliation(s)
- Alexander L. Jaffe
- Department of Plant and Microbial Biology, University of California, Berkeley, Berkeley, California, USA
| | - Alex D. Thomas
- Department of Environmental Science, Policy, and Management, University of California, Berkeley, Berkeley, California, USA
- Rocky Mountain Biological Laboratory, Crested Butte, Colorado, USA
| | - Christine He
- Innovative Genomics Institute, University of California, Berkeley, Berkeley, California, USA
| | - Ray Keren
- Department of Civil and Environmental Engineering, University of California, Berkeley, Berkeley, California, USA
| | - Luis E. Valentin-Alvarado
- Department of Plant and Microbial Biology, University of California, Berkeley, Berkeley, California, USA
- Innovative Genomics Institute, University of California, Berkeley, Berkeley, California, USA
| | - Patrick Munk
- National Food Institute, Technical University of Denmark, Kongens Lyngby, Denmark
| | - Keith Bouma-Gregson
- Department of Earth and Planetary Science, University of California, Berkeley, Berkeley, California, USA
- Department of Integrative Biology, University of California, Berkeley, Berkeley, California, USA
| | - Ibrahim F. Farag
- School of Marine Science and Policy, University of Delaware, Lewes, Delaware, USA
| | - Yuki Amano
- Nuclear Fuel Cycle Engineering Laboratories, Japan Atomic Energy Agency, Ibaraki, Japan
- Horonobe Underground Research Center, Japan Atomic Energy Agency, Hokkaido, Japan
| | - Rohan Sachdeva
- Innovative Genomics Institute, University of California, Berkeley, Berkeley, California, USA
- Department of Earth and Planetary Science, University of California, Berkeley, Berkeley, California, USA
| | - Patrick T. West
- Department of Medicine (Hematology & Blood and Marrow Transplantation), Stanford University, Stanford, California, USA
| | - Jillian F. Banfield
- Department of Environmental Science, Policy, and Management, University of California, Berkeley, Berkeley, California, USA
- Innovative Genomics Institute, University of California, Berkeley, Berkeley, California, USA
- Department of Earth and Planetary Science, University of California, Berkeley, Berkeley, California, USA
- Chan Zuckerberg Biohub, San Francisco, California, USA
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