Phylogeny of Nitrogenase Structural and Assembly Components Reveals New Insights Into the Origin and Distribution of Nitrogen Fixation Across Bacteria and Archaea
Total Page:16
File Type:pdf, Size:1020Kb
Load more
Recommended publications
-
Spatio-Temporal Study of Microbiology in the Stratified Oxic-Hypoxic-Euxinic, Freshwater- To-Hypersaline Ursu Lake
Spatio-temporal insights into microbiology of the freshwater-to- hypersaline, oxic-hypoxic-euxinic waters of Ursu Lake Baricz, A., Chiriac, C. M., Andrei, A-., Bulzu, P-A., Levei, E. A., Cadar, O., Battes, K. P., Cîmpean, M., enila, M., Cristea, A., Muntean, V., Alexe, M., Coman, C., Szekeres, E. K., Sicora, C. I., Ionescu, A., Blain, D., O’Neill, W. K., Edwards, J., ... Banciu, H. L. (2020). Spatio-temporal insights into microbiology of the freshwater-to- hypersaline, oxic-hypoxic-euxinic waters of Ursu Lake. Environmental Microbiology. https://doi.org/10.1111/1462-2920.14909, https://doi.org/10.1111/1462-2920.14909 Published in: Environmental Microbiology Document Version: Peer reviewed version Queen's University Belfast - Research Portal: Link to publication record in Queen's University Belfast Research Portal Publisher rights Copyright 2019 Wiley. This work is made available online in accordance with the publisher’s policies. Please refer to any applicable terms of use of the publisher. General rights Copyright for the publications made accessible via the Queen's University Belfast Research Portal is retained by the author(s) and / or other copyright owners and it is a condition of accessing these publications that users recognise and abide by the legal requirements associated with these rights. Take down policy The Research Portal is Queen's institutional repository that provides access to Queen's research output. Every effort has been made to ensure that content in the Research Portal does not infringe any person's rights, or applicable UK laws. If you discover content in the Research Portal that you believe breaches copyright or violates any law, please contact [email protected]. -
Methanotrophs Are Core Members of the Diazotroph Community in Decaying T Norway Spruce Logs
Soil Biology and Biochemistry 120 (2018) 230–232 Contents lists available at ScienceDirect Soil Biology and Biochemistry journal homepage: www.elsevier.com/locate/soilbio Short Communication Methanotrophs are core members of the diazotroph community in decaying T Norway spruce logs ∗ Raisa Mäkipääa, , Sanna M. Leppänena, Sonia Sanz Munoza, Aino Smolandera, Marja Tiirolab, Tero Tuomivirtaa, Hannu Fritzea a Natural Resources Institute Finland, Finland b University of Jyväskylä, Finland ARTICLE INFO ABSTRACT Keywords: Dead wood is initially a nitrogen (N) poor substrate, where the N content increases with decay, partly due to fi Asymbiotic nitrogen xation biological N2 fixation, but the drivers of the N accumulation are poorly known. We quantified the rate of N2 Coarse woody debris fixation in decaying Norway spruce logs of different decay stages and studied the potential regulators of the N2- − − Dead wood fixation activity. The average rate for acetylene reduction in the decaying wood was 7.5 nmol ethylene g 1d 1, nifH − − − which corresponds to 52.9 μgN kg 1d 1. The number of nifH copies (g 1 dry matter) was higher at the later Picea abies decay stages, but no correlation between the copy number and the in vitro N2 fixation rate was found. All recovered nifH sequences were assigned to the order Rhizobiales, and therein mostly (60%) to methane oxidizing genera. We confirm that nitrogen fixing methanotrophs are present in all the wood decay phases and suggest that their interaction between methane producing organisms in decaying wood should be further studied. In boreal forests with nitrogen (N) supply deficiency, asymbiotic N2 (Karst)) logs (using four replicates per sample log) followed the fixation occurs in the dead wood (Brunner and Kimmins, 2003; Hicks methods described in Rinne et al. -
Electron Flow and Management in Living Systems: Advancing Understanding of Electron Transfer to Nitrogenase
Utah State University DigitalCommons@USU All Graduate Theses and Dissertations Graduate Studies 8-2018 Electron Flow and Management in Living Systems: Advancing Understanding of Electron Transfer to Nitrogenase Rhesa N. Ledbetter Utah State University Follow this and additional works at: https://digitalcommons.usu.edu/etd Part of the Biochemistry Commons Recommended Citation Ledbetter, Rhesa N., "Electron Flow and Management in Living Systems: Advancing Understanding of Electron Transfer to Nitrogenase" (2018). All Graduate Theses and Dissertations. 7197. https://digitalcommons.usu.edu/etd/7197 This Dissertation is brought to you for free and open access by the Graduate Studies at DigitalCommons@USU. It has been accepted for inclusion in All Graduate Theses and Dissertations by an authorized administrator of DigitalCommons@USU. For more information, please contact [email protected]. ELECTRON FLOW AND MANAGEMENT IN LIVING SYSTEMS: ADVANCING UNDERSTANDING OF ELECTRON TRANSFER TO NITROGENASE by Rhesa N. Ledbetter A dissertation submitted in partial fulfillment of the requirements for the degree of DOCTOR OF PHILOSOPHY in Biochemistry Approved: ______________________ ______________________ Lance C. Seefeldt, Ph.D. Scott A. Ensign, Ph.D. Biochemistry Biochemistry Major Professor Committee Member ______________________ ______________________ Bruce Bugbee, Ph.D. Sean J. Johnson, Ph.D. Plant Physiology Biochemistry Committee Member Committee Member ______________________ ______________________ Nicholas E. Dickenson, Ph.D. Mark R. McLellan, Ph.D. Biochemistry Vice President for Research and Committee Member Dean of the School of Graduate Studies UTAH STATE UNIVERSITY Logan, Utah 2018 ii Copyright © Rhesa N. Ledbetter 2018 All Rights Reserved iii ABSTRACT Electron Flow and Management in Living Systems: Advancing Understanding of Electron Transfer to Nitrogenase by Rhesa N. -
Supplementary Information
doi: 10.1038/nature06269 SUPPLEMENTARY INFORMATION METAGENOMIC AND FUNCTIONAL ANALYSIS OF HINDGUT MICROBIOTA OF A WOOD FEEDING HIGHER TERMITE TABLE OF CONTENTS MATERIALS AND METHODS 2 • Glycoside hydrolase catalytic domains and carbohydrate binding modules used in searches that are not represented by Pfam HMMs 5 SUPPLEMENTARY TABLES • Table S1. Non-parametric diversity estimators 8 • Table S2. Estimates of gross community structure based on sequence composition binning, and conserved single copy gene phylogenies 8 • Table S3. Summary of numbers glycosyl hydrolases (GHs) and carbon-binding modules (CBMs) discovered in the P3 luminal microbiota 9 • Table S4. Summary of glycosyl hydrolases, their binning information, and activity screening results 13 • Table S5. Comparison of abundance of glycosyl hydrolases in different single organism genomes and metagenome datasets 17 • Table S6. Comparison of abundance of glycosyl hydrolases in different single organism genomes (continued) 20 • Table S7. Phylogenetic characterization of the termite gut metagenome sequence dataset, based on compositional phylogenetic analysis 23 • Table S8. Counts of genes classified to COGs corresponding to different hydrogenase families 24 • Table S9. Fe-only hydrogenases (COG4624, large subunit, C-terminal domain) identified in the P3 luminal microbiota. 25 • Table S10. Gene clusters overrepresented in termite P3 luminal microbiota versus soil, ocean and human gut metagenome datasets. 29 • Table S11. Operational taxonomic unit (OTU) representatives of 16S rRNA sequences obtained from the P3 luminal fluid of Nasutitermes spp. 30 SUPPLEMENTARY FIGURES • Fig. S1. Phylogenetic identification of termite host species 38 • Fig. S2. Accumulation curves of 16S rRNA genes obtained from the P3 luminal microbiota 39 • Fig. S3. Phylogenetic diversity of P3 luminal microbiota within the phylum Spirocheates 40 • Fig. -
Table S1. Bacterial Otus from 16S Rrna
Table S1. Bacterial OTUs from 16S rRNA sequencing analysis including only taxa which were identified to genus level (those OTUs identified as Ambiguous taxa, uncultured bacteria or without genus-level identifications were omitted). OTUs with only a single representative across all samples were also omitted. Taxa are listed from most to least abundant. Pitcher Plant Sample Class Order Family Genus CB1p1 CB1p2 CB1p3 CB1p4 CB5p234 Sp3p2 Sp3p4 Sp3p5 Sp5p23 Sp9p234 sum Gammaproteobacteria Legionellales Coxiellaceae Rickettsiella 1 2 0 1 2 3 60194 497 1038 2 61740 Alphaproteobacteria Rhodospirillales Rhodospirillaceae Azospirillum 686 527 10513 485 11 3 2 7 16494 8201 36929 Sphingobacteriia Sphingobacteriales Sphingobacteriaceae Pedobacter 455 302 873 103 16 19242 279 55 760 1077 23162 Betaproteobacteria Burkholderiales Oxalobacteraceae Duganella 9060 5734 2660 40 1357 280 117 29 129 35 19441 Gammaproteobacteria Pseudomonadales Pseudomonadaceae Pseudomonas 3336 1991 3475 1309 2819 233 1335 1666 3046 218 19428 Betaproteobacteria Burkholderiales Burkholderiaceae Paraburkholderia 0 1 0 1 16051 98 41 140 23 17 16372 Sphingobacteriia Sphingobacteriales Sphingobacteriaceae Mucilaginibacter 77 39 3123 20 2006 324 982 5764 408 21 12764 Gammaproteobacteria Pseudomonadales Moraxellaceae Alkanindiges 9 10 14 7 9632 6 79 518 1183 65 11523 Betaproteobacteria Neisseriales Neisseriaceae Aquitalea 0 0 0 0 1 1577 5715 1471 2141 177 11082 Flavobacteriia Flavobacteriales Flavobacteriaceae Flavobacterium 324 219 8432 533 24 123 7 15 111 324 10112 Alphaproteobacteria -
Metaproteomics Reveals Differential Modes of Metabolic Coupling Among Ubiquitous Oxygen Minimum Zone Microbes
Metaproteomics reveals differential modes of metabolic coupling among ubiquitous oxygen minimum zone microbes Alyse K. Hawleya, Heather M. Brewerb, Angela D. Norbeckb, Ljiljana Paša-Tolicb, and Steven J. Hallama,c,d,1 aDepartment of Microbiology and Immunology, cGraduate Program in Bioinformatics, and dGenome Sciences and Technology Training Program, University of British Columbia, Vancouver, BC, Canada V6T 1Z3; and bBiological and Computational Sciences Division, Pacific Northwest National Laboratory, Richland, WA 99352 Edited by Edward F. DeLong, Massachusetts Institute of Technology, Cambridge, MA, and approved June 10, 2014 (received for review November 26, 2013) Marine oxygen minimum zones (OMZs) are intrinsic water column transformations in nonsulfidic OMZs, providing evidence for features arising from respiratory oxygen demand during organic a cryptic sulfur cycle with the potential to drive inorganic carbon matter degradation in stratified waters. Currently OMZs are expand- fixation processes (13). Indeed, many of the key microbial players ing due to global climate change with resulting feedback on marine implicated in nitrogen and sulfur transformations in OMZs, in- ecosystem function. Here we use metaproteomics to chart spatial cluding Thaumarchaeota, Nitrospina, Nitrospira, Planctomycetes, and temporal patterns of gene expression along defined redox and SUP05/ARCTIC96BD-19 Gammaproteobacteria have the gradients in a seasonally stratified fjord to better understand metabolic potential for inorganic carbon fixation (14–19), and -
Expanding Diversity of Asgard Archaea and the Elusive Ancestry of Eukaryotes
bioRxiv preprint doi: https://doi.org/10.1101/2020.10.19.343400; this version posted October 20, 2020. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under aCC-BY-ND 4.0 International license. 1 Expanding diversity of Asgard archaea and the elusive ancestry of eukaryotes 2 3 Yang Liu1†, Kira S. Makarova2†, Wen-Cong Huang1†, Yuri I. Wolf2, Anastasia Nikolskaya2, Xinxu 4 Zhang1, Mingwei Cai1, Cui-Jing Zhang1, Wei Xu3, Zhuhua Luo3, Lei Cheng4, Eugene V. Koonin2*, Meng 5 Li1* 6 1 Shenzhen Key Laboratory of Marine Microbiome Engineering, Institute for Advanced Study, Shenzhen 7 University, Shenzhen, Guangdong, 518060, P. R. China 8 2 National Center for Biotechnology Information, National Library of Medicine, National Institutes of 9 Health, Bethesda, Maryland 20894, USA 10 3 State Key Laboratory Breeding Base of Marine Genetic Resources, Key Laboratory of Marine Genetic 11 Resources, Fujian Key Laboratory of Marine Genetic Resources, Third Institute of Oceanography, State 12 Oceanic Administration, Xiamen 361005, P. R. China 13 4 Key Laboratory of Development and Application of Rural Renewable Energy, Biogas Institute of 14 Ministry of Agriculture, Chengdu 610041, P.R. China 15 † These authors contributed equally to this work. 16 *Authors for correspondence: [email protected] or [email protected] 17 18 19 Running title: Asgard archaea genomics 20 Keywords: 1 bioRxiv preprint doi: https://doi.org/10.1101/2020.10.19.343400; this version posted October 20, 2020. -
Phylogenomic Networks Reveal Limited Phylogenetic Range of Lateral Gene Transfer by Transduction
The ISME Journal (2017) 11, 543–554 OPEN © 2017 International Society for Microbial Ecology All rights reserved 1751-7362/17 www.nature.com/ismej ORIGINAL ARTICLE Phylogenomic networks reveal limited phylogenetic range of lateral gene transfer by transduction Ovidiu Popa1, Giddy Landan and Tal Dagan Institute of General Microbiology, Christian-Albrechts University of Kiel, Kiel, Germany Bacteriophages are recognized DNA vectors and transduction is considered as a common mechanism of lateral gene transfer (LGT) during microbial evolution. Anecdotal events of phage- mediated gene transfer were studied extensively, however, a coherent evolutionary viewpoint of LGT by transduction, its extent and characteristics, is still lacking. Here we report a large-scale evolutionary reconstruction of transduction events in 3982 genomes. We inferred 17 158 recent transduction events linking donors, phages and recipients into a phylogenomic transduction network view. We find that LGT by transduction is mostly restricted to closely related donors and recipients. Furthermore, a substantial number of the transduction events (9%) are best described as gene duplications that are mediated by mobile DNA vectors. We propose to distinguish this type of paralogy by the term autology. A comparison of donor and recipient genomes revealed that genome similarity is a superior predictor of species connectivity in the network in comparison to common habitat. This indicates that genetic similarity, rather than ecological opportunity, is a driver of successful transduction during microbial evolution. A striking difference in the connectivity pattern of donors and recipients shows that while lysogenic interactions are highly species-specific, the host range for lytic phage infections can be much wider, serving to connect dense clusters of closely related species. -
Table S4. Phylogenetic Distribution of Bacterial and Archaea Genomes in Groups A, B, C, D, and X
Table S4. Phylogenetic distribution of bacterial and archaea genomes in groups A, B, C, D, and X. Group A a: Total number of genomes in the taxon b: Number of group A genomes in the taxon c: Percentage of group A genomes in the taxon a b c cellular organisms 5007 2974 59.4 |__ Bacteria 4769 2935 61.5 | |__ Proteobacteria 1854 1570 84.7 | | |__ Gammaproteobacteria 711 631 88.7 | | | |__ Enterobacterales 112 97 86.6 | | | | |__ Enterobacteriaceae 41 32 78.0 | | | | | |__ unclassified Enterobacteriaceae 13 7 53.8 | | | | |__ Erwiniaceae 30 28 93.3 | | | | | |__ Erwinia 10 10 100.0 | | | | | |__ Buchnera 8 8 100.0 | | | | | | |__ Buchnera aphidicola 8 8 100.0 | | | | | |__ Pantoea 8 8 100.0 | | | | |__ Yersiniaceae 14 14 100.0 | | | | | |__ Serratia 8 8 100.0 | | | | |__ Morganellaceae 13 10 76.9 | | | | |__ Pectobacteriaceae 8 8 100.0 | | | |__ Alteromonadales 94 94 100.0 | | | | |__ Alteromonadaceae 34 34 100.0 | | | | | |__ Marinobacter 12 12 100.0 | | | | |__ Shewanellaceae 17 17 100.0 | | | | | |__ Shewanella 17 17 100.0 | | | | |__ Pseudoalteromonadaceae 16 16 100.0 | | | | | |__ Pseudoalteromonas 15 15 100.0 | | | | |__ Idiomarinaceae 9 9 100.0 | | | | | |__ Idiomarina 9 9 100.0 | | | | |__ Colwelliaceae 6 6 100.0 | | | |__ Pseudomonadales 81 81 100.0 | | | | |__ Moraxellaceae 41 41 100.0 | | | | | |__ Acinetobacter 25 25 100.0 | | | | | |__ Psychrobacter 8 8 100.0 | | | | | |__ Moraxella 6 6 100.0 | | | | |__ Pseudomonadaceae 40 40 100.0 | | | | | |__ Pseudomonas 38 38 100.0 | | | |__ Oceanospirillales 73 72 98.6 | | | | |__ Oceanospirillaceae -
Genome-Wide Identification of Azospirillum Brasilense Sp245
Koul et al. BMC Genomics (2020) 21:821 https://doi.org/10.1186/s12864-020-07212-7 RESEARCH ARTICLE Open Access Genome-wide identification of Azospirillum brasilense Sp245 small RNAs responsive to nitrogen starvation and likely involvement in plant-microbe interactions Vatsala Koul1,2†, Divya Srivastava2†, Pushplata Prasad Singh2* and Mandira Kochar2* Abstract Background: Small RNAs (sRNAs) are non-coding RNAs known to regulate various biological functions such as stress adaptation, metabolism, virulence as well as pathogenicity across a wide range of bacteria, mainly by controlling mRNA stabilization or regulating translation. Identification and functional characterization of sRNAs has been carried out in various plant growth-promoting bacteria and they have been shown to help the cells cope up with environmental stress. No study has been carried out to uncover these regulatory molecules in the diazotrophic alpha-proteobacterium Azospirillum brasilense Sp245 to date. Results: Expression-based sRNA identification (RNA-seq) revealed the first list of ~ 468 sRNA candidate genes in A. brasilense Sp245 that were differentially expressed in nitrogen starvation versus non-starved conditions. In parallel, in silico tools also identified 2 of the above as candidate sRNAs. Altogether, putative candidates were stringently curated from RNA-seq data based on known sRNA parameters (size, location, secondary structure, and abundance). In total, ~ 59 significantly expressed sRNAs were identified in this study of which 53 are potentially novel sRNAs as they have no Rfam and BSRD homologs. Sixteen sRNAs were randomly selected and validated for differential expression, which largely was found to be in congruence with the RNA-seq data. Conclusions: Differential expression of 468 A. -
Distribution of Arsenite-Oxidizing Bacteria and Its Correlation with Environmental Factors in Geothermal Areas of Tengchong, Yunnan, China
E3S Web of Conferences 98, 02002 (2019) https://doi.org/10.1051/e3sconf/20199802002 WRI-16 Distribution of arsenite-oxidizing bacteria and its correlation with environmental factors in geothermal areas of Tengchong, Yunnan, China Ping Li1,*, Dawei Jiang1, and Zhou Jiang1,2 1State Key Laboratory of Biogeology and Environmental Geology, China University of Geosciences, Wuhan, China 2School of Environmental Studies, China University of Geosciences, Wuhan, China Abstract. Arsenic (As) is an ubiquitous constituent in geothermal water. Arsenite (AsIII) is oxidized via microbial processes as the waters equilibrate with oxygen in the geothermal effluent. The distribution of arsenite oxdizing bacteria and its correlation with environment factors were studied in Tengchong geothermal areas of Yunnan, China. A total of 230 aioA clone sequences were obtained and these sequences were affiliated with four phyla: Betaproteobacteria, Alphaproteobacteria, Deinococcus- Thermus and Aquificae. Temperature was negatively correlated with aioA diversity and was the only environment factor that had correlation with diversity index. Betaproteobacteria was mainly distributed in low temperature (T = 28 to 43 oC) and circumneutral or light alkaline (pH = 7 to 9) springs; Alphaproteobacteria was mainly predominant in low pH (pH = 3.3 to 3.6) springs; Deinococcus-Thermus and Aquificae mainly inhabited in high temperature (T=55 to 78 oC) springs with a wide range of pH. Usually, Deinococcus-Thermus was dominant when springs had a pH within 4.0 to 8.0. Aquificae was dominated in springs with pH > 8.0 or pH < 4.0. 1 Diversity of aioA gene A total of 230 aioA gene clone sequences from 10 sample sites were subjected to sequence similarity analysis. -
Within-Arctic Horizontal Gene Transfer As a Driver of Convergent Evolution in Distantly Related 1 Microalgae 2 Richard G. Do
bioRxiv preprint doi: https://doi.org/10.1101/2021.07.31.454568; this version posted August 2, 2021. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under aCC-BY-NC-ND 4.0 International license. 1 Within-Arctic horizontal gene transfer as a driver of convergent evolution in distantly related 2 microalgae 3 Richard G. Dorrell*+1,2, Alan Kuo3*, Zoltan Füssy4, Elisabeth Richardson5,6, Asaf Salamov3, Nikola 4 Zarevski,1,2,7 Nastasia J. Freyria8, Federico M. Ibarbalz1,2,9, Jerry Jenkins3,10, Juan Jose Pierella 5 Karlusich1,2, Andrei Stecca Steindorff3, Robyn E. Edgar8, Lori Handley10, Kathleen Lail3, Anna Lipzen3, 6 Vincent Lombard11, John McFarlane5, Charlotte Nef1,2, Anna M.G. Novák Vanclová1,2, Yi Peng3, Chris 7 Plott10, Marianne Potvin8, Fabio Rocha Jimenez Vieira1,2, Kerrie Barry3, Joel B. Dacks5, Colomban de 8 Vargas2,12, Bernard Henrissat11,13, Eric Pelletier2,14, Jeremy Schmutz3,10, Patrick Wincker2,14, Chris 9 Bowler1,2, Igor V. Grigoriev3,15, and Connie Lovejoy+8 10 11 1 Institut de Biologie de l'ENS (IBENS), Département de Biologie, École Normale Supérieure, CNRS, 12 INSERM, Université PSL, 75005 Paris, France 13 2CNRS Research Federation for the study of Global Ocean Systems Ecology and Evolution, 14 FR2022/Tara Oceans GOSEE, 3 rue Michel-Ange, 75016 Paris, France 15 3 US Department of Energy Joint Genome Institute, Lawrence Berkeley National Laboratory, 1 16 Cyclotron Road, Berkeley,