Deep-Sea Shipwrecks Represent Island-Like Ecosystems for Marine Microbiomes
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Bacterial Diversity in the Surface Sediments of the Hypoxic Zone Near
ORIGINAL RESEARCH Bacterial diversity in the surface sediments of the hypoxic zone near the Changjiang Estuary and in the East China Sea Qi Ye, Ying Wu, Zhuoyi Zhu, Xiaona Wang, Zhongqiao Li & Jing Zhang State Key Laboratory of Estuarine and Coastal Research, East China Normal University, Shanghai 200062, China Keywords Abstract Bacteria, Changjiang Estuary, hypoxia, Miseq Illumina sequencing, sediment Changjiang (Yangtze River) Estuary has experienced severe hypoxia since the 1950s. In order to investigate potential ecological functions of key microorgan- Correspondence isms in relation to hypoxia, we performed 16S rRNA-based Illumina Miseq Qi Ye, East China Normal University, State Key sequencing to explore the bacterial diversity in the surface sediments of the Laboratory of Estuarine and Coastal Research, hypoxic zone near the Changjiang Estuary and in the East China Sea (ECS). 3663 North Zhongshan Road, SKLEC Building, Room 419, Shanghai 200062, China. The results showed that numerous Proteobacteria-affiliated sequences in the sedi- Tel: 86-021-52124974; ments of the inner continental shelf were related to both sulfate-reducing and Fax: 86-021- 62546441; sulfur-oxidizing bacteria, suggesting an active sulfur cycle in this area. Many E-mail: [email protected] sequences retrieved from the hypoxic zone were also related to Planctomycetes from two marine upwelling systems, which may be involved in the initial break- Funding Information down of sulfated heteropolysaccharides. Bacteroidetes, which is expected to degrade This study was funded by the Shanghai Pujiang high-molecular-weight organic matter, was abundant in all the studied stations Talent Program (12PJ1403100), the National except for station A8, which was the deepest and possessed the largest grain Natural Science Foundation of China (41276081), the Key Project of Chinese size. -
First Genomic Insights Into Members of a Candidate Bacterial Phylum Responsible for Wastewater Bulking
First genomic insights into members of a candidate bacterial phylum responsible for wastewater bulking Yuji Sekiguchi1, Akiko Ohashi1, Donovan H. Parks2, Toshihiro Yamauchi3, Gene W. Tyson2,4 and Philip Hugenholtz2,5 1 Biomedical Research Institute, National Institute of Advanced Industrial Science and Technology (AIST), Tsukuba, Ibaraki, Japan 2 Australian Centre for Ecogenomics, School of Chemistry and Molecular Biosciences, The University of Queensland, St. Lucia, Queensland, Australia 3 Administrative Management Department, Kubota Kasui Corporation, Minato-ku, Tokyo, Japan 4 Advanced Water Management Centre, The University of Queensland, St. Lucia, Queensland, Australia 5 Institute for Molecular Bioscience, The University of Queensland, St. Lucia, Queensland, Australia ABSTRACT Filamentous cells belonging to the candidate bacterial phylum KSB3 were previously identified as the causative agent of fatal filament overgrowth (bulking) in a high-rate industrial anaerobic wastewater treatment bioreactor. Here, we obtained near complete genomes from two KSB3 populations in the bioreactor, including the dominant bulking filament, using diVerential coverage binning of metagenomic data. Fluorescence in situ hybridization with 16S rRNA-targeted probes specific for the two populations confirmed that both are filamentous organisms. Genome-based metabolic reconstruction and microscopic observation of the KSB3 filaments in the presence of sugar gradients indicate that both filament types are Gram-negative, strictly anaerobic fermenters capable of -
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. -
Supplementary Information for Microbial Electrochemical Systems Outperform Fixed-Bed Biofilters for Cleaning-Up Urban Wastewater
Electronic Supplementary Material (ESI) for Environmental Science: Water Research & Technology. This journal is © The Royal Society of Chemistry 2016 Supplementary information for Microbial Electrochemical Systems outperform fixed-bed biofilters for cleaning-up urban wastewater AUTHORS: Arantxa Aguirre-Sierraa, Tristano Bacchetti De Gregorisb, Antonio Berná, Juan José Salasc, Carlos Aragónc, Abraham Esteve-Núñezab* Fig.1S Total nitrogen (A), ammonia (B) and nitrate (C) influent and effluent average values of the coke and the gravel biofilters. Error bars represent 95% confidence interval. Fig. 2S Influent and effluent COD (A) and BOD5 (B) average values of the hybrid biofilter and the hybrid polarized biofilter. Error bars represent 95% confidence interval. Fig. 3S Redox potential measured in the coke and the gravel biofilters Fig. 4S Rarefaction curves calculated for each sample based on the OTU computations. Fig. 5S Correspondence analysis biplot of classes’ distribution from pyrosequencing analysis. Fig. 6S. Relative abundance of classes of the category ‘other’ at class level. Table 1S Influent pre-treated wastewater and effluents characteristics. Averages ± SD HRT (d) 4.0 3.4 1.7 0.8 0.5 Influent COD (mg L-1) 246 ± 114 330 ± 107 457 ± 92 318 ± 143 393 ± 101 -1 BOD5 (mg L ) 136 ± 86 235 ± 36 268 ± 81 176 ± 127 213 ± 112 TN (mg L-1) 45.0 ± 17.4 60.6 ± 7.5 57.7 ± 3.9 43.7 ± 16.5 54.8 ± 10.1 -1 NH4-N (mg L ) 32.7 ± 18.7 51.6 ± 6.5 49.0 ± 2.3 36.6 ± 15.9 47.0 ± 8.8 -1 NO3-N (mg L ) 2.3 ± 3.6 1.0 ± 1.6 0.8 ± 0.6 1.5 ± 2.0 0.9 ± 0.6 TP (mg -
Phenotypic and Microbial Influences on Dairy Heifer Fertility and Calf Gut Microbial Development
Phenotypic and microbial influences on dairy heifer fertility and calf gut microbial development Connor E. Owens Dissertation submitted to the faculty of the Virginia Polytechnic Institute and State University in partial fulfillment of the requirements for the degree of Doctor of Philosophy In Animal Science, Dairy Rebecca R. Cockrum Kristy M. Daniels Alan Ealy Katharine F. Knowlton September 17, 2020 Blacksburg, VA Keywords: microbiome, fertility, inoculation Phenotypic and microbial influences on dairy heifer fertility and calf gut microbial development Connor E. Owens ABSTRACT (Academic) Pregnancy loss and calf death can cost dairy producers more than $230 million annually. While methods involving nutrition, climate, and health management to mitigate pregnancy loss and calf death have been developed, one potential influence that has not been well examined is the reproductive microbiome. I hypothesized that the microbiome of the reproductive tract would influence heifer fertility and calf gut microbial development. The objectives of this dissertation were: 1) to examine differences in phenotypes related to reproductive physiology in virgin Holstein heifers based on outcome of first insemination, 2) to characterize the uterine microbiome of virgin Holstein heifers before insemination and examine associations between uterine microbial composition and fertility related phenotypes, insemination outcome, and season of breeding, and 3) to characterize the various maternal and calf fecal microbiomes and predicted metagenomes during peri-partum and post-partum periods and examine the influence of the maternal microbiome on calf gut development during the pre-weaning phase. In the first experiment, virgin Holstein heifers (n = 52) were enrolled over 12 periods, on period per month. On -3 d before insemination, heifers were weighed and the uterus was flushed. -
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 -
Ancestry and Adaptive Radiation of Bacteroidetes As Assessed by Comparative Genomics
1 Ancestry and adaptive radiation of Bacteroidetes as assessed by comparative genomics 2 3 Raul Munoza,b,*, Hanno Teelinga, Rudolf Amanna and Ramon Rosselló-Mórab,* 4 5 a Department of Molecular Ecology, Max Planck Institute for Marine Microbiology, D-28359 6 Bremen, Germany. 7 b Marine Microbiology Group, Department of Ecology and Marine Resources, Institut Mediterrani 8 d’Estudis Avançats (CSIC-UIB), E-07190 Esporles, Balearic Islands, Spain. 9 10 * Corresponding authors: 11 Raul Munoz, Marine Microbiology Group, Carrer Miquel Marquès 21, 07190 Esporles, Illes 12 Balears, Spain. e-mail: [email protected] 13 Ramon Rosselló-Móra, Marine Microbiology Group, Carrer Miquel Marquès 21, 07190 Esporles, 14 Illes Balears, Spain. e-mail: [email protected] 15 16 17 18 Keywords + 19 Bacteroidetes, Na -NQR, alternative complex III, caa3 cytochrome oxidase, gliding, T9SS. 20 21 Abbreviations 22 m.s.i.: median sequence identity. 23 24 25 26 27 ABSTRACT 28 As of this writing, the phylum Bacteroidetes comprises more than 1,500 described species with 29 diverse ecological roles. However, there is little understanding of archetypal Bacteroidetes traits on 30 a genomic level. We compiled a representative set of 89 Bacteroidetes genomes and used pairwise 31 reciprocal best match gene comparisons and gene syntenies to identify common traits that allow to 32 trace Bacteroidetes’ evolution and adaptive radiation. Highly conserved among all studied 33 Bacteroidetes was the type IX secretion system (T9SS). Class-level comparisons furthermore 34 suggested that the ACIII-caa3COX super-complex evolved in the ancestral aerobic bacteroidetal 35 lineage, and was secondarily lost in extant anaerobic Bacteroidetes. -
Novel Prosthecate Bacteria from the Candidate Phylum Acetothermia
The ISME Journal https://doi.org/10.1038/s41396-018-0187-9 ARTICLE Novel prosthecate bacteria from the candidate phylum Acetothermia 1 1 1 1 Liping Hao ● Simon Jon McIlroy ● Rasmus Hansen Kirkegaard ● Søren Michael Karst ● 1 2 2 1 Warnakulasuriya Eustace Yrosh Fernando ● Hüsnü Aslan ● Rikke Louise Meyer ● Mads Albertsen ● 1 1 Per Halkjær Nielsen ● Morten Simonsen Dueholm Received: 21 November 2017 / Revised: 9 February 2018 / Accepted: 20 March 2018 © The Author(s) 2018. This article is published with open access Abstract Members of the candidate phylum Acetothermia are globally distributed and detected in various habitats. However, little is known about their physiology and ecological importance. In this study, an operational taxonomic unit belonging to Acetothermia was detected at high abundance in four full-scale anaerobic digesters by 16S rRNA gene amplicon sequencing. The first closed genome from this phylum was obtained by differential coverage binning of metagenomes and scaffolding with long nanopore reads. Genome annotation and metabolic reconstruction suggested an anaerobic chemoheterotrophic 1234567890();,: 1234567890();,: lifestyle in which the bacterium obtains energy and carbon via fermentation of peptides, amino acids, and simple sugars to acetate, formate, and hydrogen. The morphology was unusual and composed of a central rod-shaped cell with bipolar prosthecae as revealed by fluorescence in situ hybridization combined with confocal laser scanning microscopy, Raman microspectroscopy, and atomic force microscopy. We hypothesize that these prosthecae allow for increased nutrient uptake by greatly expanding the cell surface area, providing a competitive advantage under nutrient-limited conditions. Introduction many bacterial lineages lack cultivated representatives, and the bacteria affiliated to these candidate lineages are often Microorganisms drive the major biogeochemical nutrient poorly described [6–8]. -
Role of Actinobacteria and Coriobacteriia in the Antidepressant Effects of Ketamine in an Inflammation Model of Depression
Pharmacology, Biochemistry and Behavior 176 (2019) 93–100 Contents lists available at ScienceDirect Pharmacology, Biochemistry and Behavior journal homepage: www.elsevier.com/locate/pharmbiochembeh Role of Actinobacteria and Coriobacteriia in the antidepressant effects of ketamine in an inflammation model of depression T Niannian Huanga,1, Dongyu Huaa,1, Gaofeng Zhana, Shan Lia, Bin Zhub, Riyue Jiangb, Ling Yangb, ⁎ ⁎ Jiangjiang Bia, Hui Xua, Kenji Hashimotoc, Ailin Luoa, , Chun Yanga, a Department of Anesthesiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China b Department of Internal Medicine, The Third Affiliated Hospital of Soochow University, Changzhou 213003, China c Division of Clinical Neuroscience, Chiba University Center for Forensic Mental Health, Chiba 260-8670, Japan ARTICLE INFO ABSTRACT Keywords: Ketamine, an N-methyl-D-aspartic acid receptor (NMDAR) antagonist, elicits rapid-acting and sustained anti- Ketamine depressant effects in treatment-resistant depressed patients. Accumulating evidence suggests that gut microbiota Depression via the gut-brain axis play a role in the pathogenesis of depression, thereby contributing to the antidepressant Lipopolysaccharide actions of certain compounds. Here we investigated the role of gut microbiota in the antidepressant effects of Gut microbiota ketamine in lipopolysaccharide (LPS)-induced inflammation model of depression. Ketamine (10 mg/kg) sig- nificantly attenuated the increased immobility time in forced swimming test (FST), which was associated with the improvements in α-diversity, consisting of Shannon, Simpson and Chao 1 indices. In addition to α-diversity, β-diversity, such as principal coordinates analysis (PCoA), and linear discriminant analysis (LDA) coupled with effect size measurements (LEfSe), showed a differential profile after ketamine treatment. -
Tree Scale: 1 D Bacteria P Desulfobacterota C Jdfr-97 O Jdfr-97 F Jdfr-97 G Jdfr-97 S Jdfr-97 Sp002010915 WGS ID MTPG01
d Bacteria p Desulfobacterota c Thermodesulfobacteria o Thermodesulfobacteriales f Thermodesulfobacteriaceae g Thermodesulfobacterium s Thermodesulfobacterium commune WGS ID JQLF01 d Bacteria p Desulfobacterota c Thermodesulfobacteria o Thermodesulfobacteriales f Thermodesulfobacteriaceae g Thermosulfurimonas s Thermosulfurimonas dismutans WGS ID LWLG01 d Bacteria p Desulfobacterota c Desulfofervidia o Desulfofervidales f DG-60 g DG-60 s DG-60 sp001304365 WGS ID LJNA01 ID WGS sp001304365 DG-60 s DG-60 g DG-60 f Desulfofervidales o Desulfofervidia c Desulfobacterota p Bacteria d d Bacteria p Desulfobacterota c Desulfofervidia o Desulfofervidales f Desulfofervidaceae g Desulfofervidus s Desulfofervidus auxilii RS GCF 001577525 1 001577525 GCF RS auxilii Desulfofervidus s Desulfofervidus g Desulfofervidaceae f Desulfofervidales o Desulfofervidia c Desulfobacterota p Bacteria d d Bacteria p Desulfobacterota c Thermodesulfobacteria o Thermodesulfobacteriales f Thermodesulfatatoraceae g Thermodesulfatator s Thermodesulfatator atlanticus WGS ID ATXH01 d Bacteria p Desulfobacterota c Desulfobacteria o Desulfatiglandales f NaphS2 g 4484-190-2 s 4484-190-2 sp002050025 WGS ID MVDB01 ID WGS sp002050025 4484-190-2 s 4484-190-2 g NaphS2 f Desulfatiglandales o Desulfobacteria c Desulfobacterota p Bacteria d d Bacteria p Desulfobacterota c Thermodesulfobacteria o Thermodesulfobacteriales f Thermodesulfobacteriaceae g QOAM01 s QOAM01 sp003978075 WGS ID QOAM01 d Bacteria p Desulfobacterota c BSN033 o UBA8473 f UBA8473 g UBA8473 s UBA8473 sp002782605 WGS -
Systema Naturae 2000 (Phylum, 6 Nov 2017)
The Taxonomicon Systema Naturae 2000 Classification of Domain Bacteria (prokaryotes) down to Phylum Compiled by Drs. S.J. Brands Universal Taxonomic Services 6 Nov 2017 Systema Naturae 2000 - Domain Bacteria - Domain Bacteria Woese et al. 1990 1 Genus †Eoleptonema Schopf 1983, incertae sedis 2 Genus †Primaevifilum Schopf 1983, incertae sedis 3 Genus †Archaeotrichion Schopf 1968, incertae sedis 4 Genus †Siphonophycus Schopf 1968, incertae sedis 5 Genus Bactoderma Tepper and Korshunova 1973 (Approved Lists 1980), incertae sedis 6 Genus Stibiobacter Lyalikova 1974 (Approved Lists 1980), incertae sedis 7.1.1.1.1.1 Superphylum "Proteobacteria" Craig et al. 2010 1.1 Phylum "Alphaproteobacteria" 1.2.1 Phylum "Acidithiobacillia" 1.2.2.1 Phylum "Gammaproteobacteria" 1.2.2.2.1 Candidate phylum Muproteobacteria (RIF23) Anantharaman et al. 2016 1.2.2.2.2 Phylum "Betaproteobacteria" 2 Phylum "Zetaproteobacteria" 7.1.1.1.1.2 Phylum "Deltaproteobacteria_1" 7.1.1.1.2.1.1.1 Phylum "Deltaproteobacteria" [polyphyletic] 7.1.1.1.2.1.1.2.1 Phylum "Deltaproteobacteria_2" 7.1.1.1.2.1.1.2.2 Phylum "Deltaproteobacteria_3" 7.1.1.1.2.1.2 Candidate phylum Dadabacteria (CSP1-2) Hug et al. 2015 7.1.1.1.2.2.1 Candidate phylum "MBNT15" 7.1.1.1.2.2.2 Candidate phylum "Uncultured Bacterial Phylum 10 (UBP10)" Parks et al. 2017 7.1.1.2.1 Phylum "Nitrospirae_1" 7.1.1.2.2 Phylum Chrysiogenetes Garrity and Holt 2001 7.1.2.1.1 Phylum "Nitrospirae" Garrity and Holt 2001 [polyphyletic] 7.1.2.1.2.1.1 Candidate phylum Rokubacteria (CSP1-6) Hug et al. -
Impacts of Desulfobacterales and Chromatiales on Sulfate Reduction in The
bioRxiv preprint doi: https://doi.org/10.1101/2020.08.16.252635; this version posted November 6, 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-NC-ND 4.0 International license. 1 Impacts of Desulfobacterales and Chromatiales on sulfate reduction in the 2 subtropical mangrove ecosystem as revealed by SMDB analysis 3 Shuming Mo 1, †, Jinhui Li 1, †, Bin Li 2, Ran Yu 1, Shiqing Nie 1, Zufan Zhang 1, Jianping 4 Liao 3, Qiong Jiang 1, Bing Yan 2, *, and Chengjian Jiang 1, 2 * 5 1 State Key Laboratory for Conservation and Utilization of Subtropical Agro- 6 bioresources, Guangxi Research Center for Microbial and Enzyme Engineering 7 Technology, College of Life Science and Technology, Guangxi University, Nanning 8 530004, China. 9 2 Guangxi Key Lab of Mangrove Conservation and Utilization, Guangxi Mangrove 10 Research Center, Guangxi Academy of Sciences, Beihai 536000, China. 11 3 School of Computer and Information Engineering, Nanning Normal University, 12 Nanning 530299, China. 13 † These authors contributed equally to this work. 14 *: Corresponding Author: 15 Tel: +86-771-3270736; Fax: +86-771-3237873 16 Email: [email protected] (CJ); [email protected] (BY) 17 1 bioRxiv preprint doi: https://doi.org/10.1101/2020.08.16.252635; this version posted November 6, 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.