SUPPLEMENTAL MATERIAL Physiology of Genotypes of Coral-Associated Endosymbionts

Total Page:16

File Type:pdf, Size:1020Kb

SUPPLEMENTAL MATERIAL Physiology of Genotypes of Coral-Associated Endosymbionts SUPPLEMENTAL MATERIAL Physiology of Genotypes of Coral-Associated Endosymbionts (Breviolum antillogorgium) in Response to Bacterial Communities By Chelsea Aline Brisson Master of Science in Biology SUPPLEMENTARY TABLES Table T1) Pairwise post hoc contrasts of H’ alpha diversity metrics using emmeans in both experiments. Significant differences within and between experiments are bold. Experiment 4x4 Experiment Temp-Env Bacterial Community 16-0583 16-0584 16-0630 16-0732 16-0583 16-0630 16-0723 16-0584 0.9994 - - - - - - 16-0630 0.5113 0.78 - - - - - 4x4 Experiment 16-0732 0.2253 0.1119 0.0121 - - - - 16-0583 1 0.9911 0.377 0.3214 - - - 16-0630 0.9912 1 0.8178 0.0515 0.9498 - - Env - 16-0723 1 1 0.5853 0.0983 0.9974 0.9994 - Temp Experiment Environmental 0.9757 0.8271 0.1595 0.6479 0.9967 0.6408 0.8617 Table T2) Taxa in Experiment 1 that significantly differ in relative abundance between genotypes – results from ANCOM analysis (Qiime2). Taxa shown are only those that are significantly different enough to reject the null hypothesis that the relative abundance is the same among all genotypes (W statistic). Phylogenetic Taxa W Level Class Bacteria – Spirochaetes – Leptospirae 16 Order Bacteria – Bacteroidetes – Bacteroidia – unknown 72 Family Bacteria – Bacteroidetes – Bacteroidia – Cytophagales – 102 Amoebophilaceae Genus Bacteria – Bacteroidetes – Bacteroidia – Cytophagales – 137 Amoebophilaceae – Uncultured Table T3) Taxa in initial/inoculum communities from Experiment 2 that significantly differ in relative abundance between genotypes – results from ANCOM analysis (Qiime2). Taxa shown are only those that are significantly different enough to reject the null hypothesis that the relative abundance is the same among all genotypes (W statistic). Phylogenetic Taxa W Level Class Bacteroidetes – Rhodothermia 20 Class Planctomycetes – Phycisphaerae 17 Order Proteobacteria – Alphaproteobacteria – Sphingomonadales 80 Order Proteobacteria – Alphaproteobacteria – Thalassobaculales 77 Family Proteobacteria – Alphaproteobacteria – Sphingomonadales – 126 Sphingomonadaceae Family Proteobacteria – Alphaproteobacteria – Thalassobaculales – 122 Thalassobaculaceae Family Proteobacteria – Alphaproteobacteria – Rhizobiales – Stappiaceae 116 Family Proteobacteria – Alphaproteobacteria – Rhodospirillales – 115 Terasakiellaceae Genus Proteobacteria – Alphaproteobacteria – Sphingomonadales – 191 Sphingomonadaceae – Altererythrobacter Genus Proteobacteria – Alphaproteobacteria – Thalassobaculales – 186 Thalassobaculaceae – Thalassobaculum Table T4) Pairwise PERMANOVA tests of all final bacterial communities in Experiment Temp- Env. Communities were tested at the genus level using the (a) Bray-Curtis metric and (b) binary- Jaccard metric. Communities were grouped by which bacterial community they were inoculated with and tested against all other communities. Bold denotes a significant p-value. Values below the diagonal are p-values; above the diagonal have a Bonferroni correction. Values on the diagonal are the initial bacterial community composition tested against any final samples inoculated with that community. (a) Initial Community 16-0583 16-0630 16-0723 Environmental y 16-0583 0.252 0.028 1 0.028 16-0630 0.001 0.42 0.028 0.028 Final Final 16-0723 0.126 0.001 0.28 0.028 Communit Environmental 0.001 0.001 0.001 1 (b) Initial Community 16-0583 16-0630 16-0723 Environmental 16-0583 0.196 0.028 1 0.028 ty 16-0630 0.001 0.056 0.028 0.026 Final Final 16-0723 0.094 0.001 0.168 0.028 Communi Environmental 0.001 0.001 0.001 0.812 Table T5) Summary table of ANOVA results of the effects of microbiome, host genotype, and temperature on taxa that changed the most from initial to final community. These are separated by (a) phyla, (b) families within the class Alphaproteobacteria, (c) families within the class Gammaproteobacteria, and (d) families within the phyla Bacteroidetes. (a) Phyla: Bacteroidetes Proteobacteria Planctomycetes Factor F value P value F value P value F value P value Algal Genotype 1.521 0.23596 0.247 0.7828 0.659 0.5253 Bacterial Community 5.590 0.00391 1.380 0.2694 0.286 0.8354 Temperature 4.829 0.03643 0.472 0.4976 4.474 0.0434 Genotype : Bacteria 2.498 0.04614 0.964 0.4671 1.066 0.4060 Genotype : Temperature 0.653 0.52843 0.045 0.9558 1.301 0.2882 Bacteria : Temperature 8.008 0.00178 2.544 0.0866 0.524 0.5976 3-way Interaction 0.213 0.80985 2.017 0.1519 3.014 0.0652 (b) Family: Rhizobiales Rhodobacterales Sphingomonadales Caulobacterales Factor F value P value F value P value F value P value F value P value Algal Genotype 0.199 0.8209 2.579 0.09376 1.652 0.20981 1.823 0.1802 Bacterial Community 2.074 0.1262 10.607 7.88*10-5 33.713 1.96*10-9 14.77 5.9*10-6 Temperature 0.652 0.4261 0.543 0.46716 9.000 0.00562 0.2407 0.2407 Genotype : Bacteria 0.104 0.9953 2.264 0.06604 1.818 0.13164 3.129 0.0179 Genotype : Temperature 0.213 0.8091 0.298 0.74471 0.507 0.60796 0.014 0.9866 Bacteria : Temperature 2.683 0.0859 0.934 0.40481 11.878 0.00018 0.706 0.5023 3-way Interaction 0.368 0.6952 9.479 0.00072 0.517 0.60209 0.004 0.9959 (c) Family: Alteromonadales Cellvibrionales Oceanospirillales Salinisphaerales Factor F value P value F value P value F value P value F value P value Algal Genotype 2.804 0.0776 6.777 0.00398 1.248 0.3027 1.634 0.21328 Bacterial Community 74.836 1.74*10-13 15.238 4.53*10-6 1.510 0.2335 5.506 0.00422 Temperature 5.018 0.0332 5.940 0.02141 0.060 0.8077 0.026 0.87347 Genotype : Bacteria 3.260 0.0147 7.449 7.80*10-5 0.833 0.5545 2.708 0.03351 Genotype : Temperature 5.846 0.0076 7.744 0.00210 0.153 0.8593 0.591 0.56058 Bacteria : Temperature 9.378 0.0008 4.636 0.01823 4.999 0.0139 0.149 0.86187 3-way Interaction 2.588 0.0931 9.215 8.41*10-4 1.628 0.2144 0.772 0.47145 (d) Family: Balneolales Cytophagales Flavobacteriales OPB56 Factor F value P value F value P value F value P value F value P value Algal Genotype 4.899 0.015 0.402 0.67272 0.857 0.4353 0.444 0.646 Bacterial Community 0.461 0.711 0.983 0.41495 4.155 0.0148 1.10532 <2.0*10-16 Temperature 0.566 0.458 0.219 0.64324 3.157 0.0865 0.024 0.878 Genotype : Bacteria 1.101 0.386 2.232 0.06941 0.713 0.6425 0.640 0.697 Genotype : Temperature 1.353 0.275 1.713 0.00229 0.030 0.9702 0 1.0 Bacteria : Temperature 0.179 0.837 7.614 0.19869 2.276 0.1214 0 1.0 3-way Interaction 0.149 0.862 0.746 0.48325 0.015 0.9847 0 1.0 Table T6) P-values from Spearman’s Rank Correlation tests of the most abundant bacteria at each phylogenetic level vs each physiological trait at ambient (26C) temperature. Bold signifies a significant p-value. Taxa are listed in order of average relative abundance (greatest to least) for each phylogenetic level. GROWTH RATE Class Order Family Genus Alphaproteobacteria 0.693 Rhizobiales 0.3998 Rhodobacteraceae 0.5022 Pseudohongiella 0.0927 Gammaproteobacteria 0.2665 Rhodobacterales 0.5022 Hyphomonadaceae 0.0544 Labrenzia 0.4268 Bacteroidia 0.8438 Oceanospirillales 0.8915 Pseudohongiellaceae 0.0927 Algimonas 0.0220 Rhodothermia 0.6158 Caulobacterales 0.0544 Stappiaceae 0.4268 Roseivivax 0.9821 Phycisphaerae 0.1889 Cytophagales 0.0721 Halomonadaceae 0.4814 Marinobacter 0.7043 PHOTOSYNTHETIC EFFICIENCY Class Order Family Genus Alphaproteobacteria 0.1076 Rhizobiales 0.159 Rhodobacteraceae 0.1136 Pseudohongiella 0.982 Gammaproteobacteria 0.0595 Rhodobacterales 0.1136 Hyphomonadaceae 0.6734 Labrenzia 0.3652 Bacteroidia 0.6623 Oceanospirillales 0.3554 Pseudohongiellaceae 0.982 Algimonas 0.6067 Rhodothermia 0.8867 Caulobacterales 0.6734 Stappiaceae 0.3652 Roseivivax 0.2903 Phycisphaerae 0.8035 Cytophagales 0.6623 Halomonadaceae 0.7918 Marinobacter 0.124 CHLOROPHYLL A Class Order Family Genus Alphaproteobacteria 0.1081 Rhizobiales 0.917 Rhodobacteraceae 0.0522 Pseudohongiella 0.4133 Gammaproteobacteria 0.1458 Rhodobacterales 0.0522 Hyphomonadaceae 0.7043 Labrenzia 0.3215 Bacteroidia 0.7156 Oceanospirillales 0.1702 Pseudohongiellaceae 0.4133 Algimonas 0.493 Rhodothermia 0.5322 Caulobacterales 0.7043 Stappiaceae 0.3215 Roseivivax 0.2171 Phycisphaerae 0.5408 Cytophagales 0.253 Halomonadaceae 0.3396 Marinobacter 0.0667 PHOTOSYNTHESIS RATE Class Order Family Genus Alphaproteobacteria 0.1119 Rhizobiales 0.4265 Rhodobacteraceae 0.2334 Pseudohongiella 0.5781 Gammaproteobacteria 0.0439 Rhodobacterales 0.2334 Hyphomonadaceae 0.8676 Labrenzia 0.6097 Bacteroidia 0.253 Oceanospirillales 0.0069 Pseudohongiellaceae 0.5781 Algimonas 0.2717 Rhodothermia 0.5733 Caulobacterales 0.8676 Stappiaceae 0.6097 Roseivivax 0.2913 Phycisphaerae 0.5008 Cytophagales 0.8676 Halomonadaceae 0.3007 Marinobacter 0.0459 RESPIRATION RATE Class Order Family Genus Alphaproteobacteria 0.208 Rhizobiales 0.4591 Rhodobacteraceae 0.0164 Pseudohongiella 0.0599 Gammaproteobacteria 0.8343 Rhodobacterales 0.0164 Hyphomonadaceae 0.2732 Labrenzia 0.5699 Bacteroidia 0.5886 Oceanospirillales 0.7936 Pseudohongiellaceae 0.0599 Algimonas 0.8889 Rhodothermia 0.1195 Caulobacterales 0.2732 Stappiaceae 0.5699 Roseivivax 0.0880 Phycisphaerae 0.1156 Cytophagales 0.3254 Halomonadaceae 0.0455 Marinobacter 0.4268 Table T7) P-values from Spearman’s Rank Correlation tests of the most abundant bacteria at each phylogenetic level vs each physiological trait at elevated (30C) temperature. Bold signifies a significant p-value. Taxa are listed in order of average relative abundance (greatest to least) for each phylogenetic level. GROWTH RATE Class Order Family Genus Alphaproteobacteria 0.6584 Rhizobiales 0.5264 Rhodobacteraceae 0.9663 Pseudohongiella 0.0186 Gammaproteobacteria 0.3446 Rhodobacterales 0.9663 Hyphomonadaceae 0.5451 Labrenzia 0.3876
Recommended publications
  • The Influence of Probiotics on the Firmicutes/Bacteroidetes Ratio In
    microorganisms Review The Influence of Probiotics on the Firmicutes/Bacteroidetes Ratio in the Treatment of Obesity and Inflammatory Bowel disease Spase Stojanov 1,2, Aleš Berlec 1,2 and Borut Štrukelj 1,2,* 1 Faculty of Pharmacy, University of Ljubljana, SI-1000 Ljubljana, Slovenia; [email protected] (S.S.); [email protected] (A.B.) 2 Department of Biotechnology, Jožef Stefan Institute, SI-1000 Ljubljana, Slovenia * Correspondence: borut.strukelj@ffa.uni-lj.si Received: 16 September 2020; Accepted: 31 October 2020; Published: 1 November 2020 Abstract: The two most important bacterial phyla in the gastrointestinal tract, Firmicutes and Bacteroidetes, have gained much attention in recent years. The Firmicutes/Bacteroidetes (F/B) ratio is widely accepted to have an important influence in maintaining normal intestinal homeostasis. Increased or decreased F/B ratio is regarded as dysbiosis, whereby the former is usually observed with obesity, and the latter with inflammatory bowel disease (IBD). Probiotics as live microorganisms can confer health benefits to the host when administered in adequate amounts. There is considerable evidence of their nutritional and immunosuppressive properties including reports that elucidate the association of probiotics with the F/B ratio, obesity, and IBD. Orally administered probiotics can contribute to the restoration of dysbiotic microbiota and to the prevention of obesity or IBD. However, as the effects of different probiotics on the F/B ratio differ, selecting the appropriate species or mixture is crucial. The most commonly tested probiotics for modifying the F/B ratio and treating obesity and IBD are from the genus Lactobacillus. In this paper, we review the effects of probiotics on the F/B ratio that lead to weight loss or immunosuppression.
    [Show full text]
  • The 2014 Golden Gate National Parks Bioblitz - Data Management and the Event Species List Achieving a Quality Dataset from a Large Scale Event
    National Park Service U.S. Department of the Interior Natural Resource Stewardship and Science The 2014 Golden Gate National Parks BioBlitz - Data Management and the Event Species List Achieving a Quality Dataset from a Large Scale Event Natural Resource Report NPS/GOGA/NRR—2016/1147 ON THIS PAGE Photograph of BioBlitz participants conducting data entry into iNaturalist. Photograph courtesy of the National Park Service. ON THE COVER Photograph of BioBlitz participants collecting aquatic species data in the Presidio of San Francisco. Photograph courtesy of National Park Service. The 2014 Golden Gate National Parks BioBlitz - Data Management and the Event Species List Achieving a Quality Dataset from a Large Scale Event Natural Resource Report NPS/GOGA/NRR—2016/1147 Elizabeth Edson1, Michelle O’Herron1, Alison Forrestel2, Daniel George3 1Golden Gate Parks Conservancy Building 201 Fort Mason San Francisco, CA 94129 2National Park Service. Golden Gate National Recreation Area Fort Cronkhite, Bldg. 1061 Sausalito, CA 94965 3National Park Service. San Francisco Bay Area Network Inventory & Monitoring Program Manager Fort Cronkhite, Bldg. 1063 Sausalito, CA 94965 March 2016 U.S. Department of the Interior National Park Service Natural Resource Stewardship and Science Fort Collins, Colorado The National Park Service, Natural Resource Stewardship and Science office in Fort Collins, Colorado, publishes a range of reports that address natural resource topics. These reports are of interest and applicability to a broad audience in the National Park Service and others in natural resource management, including scientists, conservation and environmental constituencies, and the public. The Natural Resource Report Series is used to disseminate comprehensive information and analysis about natural resources and related topics concerning lands managed by the National Park Service.
    [Show full text]
  • Isolation and Characterization of Achromobacter Sp. CX2 From
    Ann Microbiol (2015) 65:1699–1707 DOI 10.1007/s13213-014-1009-6 ORIGINAL ARTICLE Isolation and characterization of Achromobacter sp. CX2 from symbiotic Cytophagales, a non-cellulolytic bacterium showing synergism with cellulolytic microbes by producing β-glucosidase Xiaoyi Chen & Ying Wang & Fan Yang & Yinbo Qu & Xianzhen Li Received: 27 August 2014 /Accepted: 24 November 2014 /Published online: 10 December 2014 # Springer-Verlag Berlin Heidelberg and the University of Milan 2014 Abstract A Gram-negative, obligately aerobic, non- degradation by cellulase (Carpita and Gibeaut 1993). There- cellulolytic bacterium was isolated from the cellulolytic asso- fore, efficient degradation is the result of multiple activities ciation of Cytophagales. It exhibits biochemical properties working synergistically to efficiently solubilize crystalline cel- that are consistent with its classification in the genus lulose (Sánchez et al. 2004;Lietal.2009). Most known Achromobacter. Phylogenetic analysis together with the phe- cellulolytic organisms produce multiple cellulases that act syn- notypic characteristics suggest that the isolate could be a novel ergistically on native cellulose (Wilson 2008)aswellaspro- species of the genus Achromobacter and designated as CX2 (= duce some other proteins that enhance cellulose hydrolysis CGMCC 1.12675=CICC 23807). The strain CX2 is the sym- (Wang et al. 2011a, b). Synergistic cooperation of different biotic microbe of Cytophagales and produces β-glucosidase. enzymes is a prerequisite for the efficient degradation of cellu- The results showed that the non-cellulolytic Achromobacter lose (Jalak et al. 2012). Both Trichoderma reesi and Aspergillus sp. CX2 has synergistic activity with cellulolytic microbes by niger were co-cultured to increase the levels of different enzy- producing β-glucosidase.
    [Show full text]
  • Bacterial Epibiotic Communities of Ubiquitous and Abundant Marine Diatoms Are Distinct in Short- and Long-Term Associations
    fmicb-09-02879 December 1, 2018 Time: 14:0 # 1 ORIGINAL RESEARCH published: 04 December 2018 doi: 10.3389/fmicb.2018.02879 Bacterial Epibiotic Communities of Ubiquitous and Abundant Marine Diatoms Are Distinct in Short- and Long-Term Associations Klervi Crenn, Delphine Duffieux and Christian Jeanthon* CNRS, Sorbonne Université, Station Biologique de Roscoff, Adaptation et Diversité en Milieu Marin, Roscoff, France Interactions between phytoplankton and bacteria play a central role in mediating biogeochemical cycling and food web structure in the ocean. The cosmopolitan diatoms Thalassiosira and Chaetoceros often dominate phytoplankton communities in marine systems. Past studies of diatom-bacterial associations have employed community- level methods and culture-based or natural diatom populations. Although bacterial assemblages attached to individual diatoms represents tight associations little is known on their makeup or interactions. Here, we examined the epibiotic bacteria of 436 Thalassiosira and 329 Chaetoceros single cells isolated from natural samples and Edited by: collection cultures, regarded here as short- and long-term associations, respectively. Matthias Wietz, Epibiotic microbiota of single diatom hosts was analyzed by cultivation and by cloning- Alfred Wegener Institut, Germany sequencing of 16S rRNA genes obtained from whole-genome amplification products. Reviewed by: The prevalence of epibiotic bacteria was higher in cultures and dependent of the host Lydia Jeanne Baker, Cornell University, United States species. Culture approaches demonstrated that both diatoms carry distinct bacterial Bryndan Paige Durham, communities in short- and long-term associations. Bacterial epibonts, commonly University of Washington, United States associated with phytoplankton, were repeatedly isolated from cells of diatom collection *Correspondence: cultures but were not recovered from environmental cells.
    [Show full text]
  • Identification of Active Methylotroph Populations in an Acidic Forest Soil
    Microbiology (2002), 148, 2331–2342 Printed in Great Britain Identification of active methylotroph populations in an acidic forest soil by stable- isotope probing Stefan Radajewski,1 Gordon Webster,2† David S. Reay,3‡ Samantha A. Morris,1 Philip Ineson,4 David B. Nedwell,3 James I. Prosser2 and J. Colin Murrell1 Author for correspondence: J. Colin Murrell. Tel: j44 24 7652 2553. Fax: j44 24 7652 3568. e-mail: cmurrell!bio.warwick.ac.uk 1 Department of Biological Stable-isotope probing (SIP) is a culture-independent technique that enables Sciences, University of the isolation of DNA from micro-organisms that are actively involved in a Warwick, Coventry CV4 7AL, UK specific metabolic process. In this study, SIP was used to characterize the active methylotroph populations in forest soil (pH 35) microcosms that were exposed 2 Department of Molecular 13 13 13 13 and Cell Biology, to CH3OH or CH4. Distinct C-labelled DNA ( C-DNA) fractions were resolved University of Aberdeen, from total community DNA by CsCl density-gradient centrifugation. Analysis of Institute of Medical 16S rDNA sequences amplified from the 13C-DNA revealed that bacteria related Sciences, Foresterhill, Aberdeen AB25 2ZD, UK to the genera Methylocella, Methylocapsa, Methylocystis and Rhodoblastus had assimilated the 13C-labelled substrates, which suggested that moderately 3 Department of Biological Sciences, University of acidophilic methylotroph populations were active in the microcosms. Essex, Wivenhoe Park, Enrichments targeted towards the active proteobacterial CH3OH utilizers were Colchester, Essex CO4 3SQ, successful, although none of these bacteria were isolated into pure culture. A UK parallel analysis of genes encoding the key enzymes methanol dehydrogenase 4 Department of Biology, and particulate methane monooxygenase reflected the 16S rDNA analysis, but University of York, PO Box 373, YO10 5YW, UK unexpectedly revealed sequences related to the ammonia monooxygenase of ammonia-oxidizing bacteria (AOB) from the β-subclass of the Proteobacteria.
    [Show full text]
  • Exploring Bacteria Diatom Associations Using Single-Cell
    Vol. 72: 73–88, 2014 AQUATIC MICROBIAL ECOLOGY Published online April 4 doi: 10.3354/ame01686 Aquat Microb Ecol FREEREE ACCESSCCESS Exploring bacteria–diatom associations using single-cell whole genome amplification Lydia J. Baker*, Paul F. Kemp Department of Oceanography, University of Hawai’i at Manoa, 1950 East West Road, Center for Microbial Oceanography: Research and Education (C-MORE), Honolulu, Hawai’i 96822, USA ABSTRACT: Diatoms are responsible for a large fraction of oceanic and freshwater biomass pro- duction and are critically important for sequestration of carbon to the deep ocean. As with most surfaces present in aquatic systems, bacteria colonize the exterior of diatom cells, and they inter- act with the diatom and each other. The ecology of diatoms may be better explained by conceptu- alizing them as composite organisms consisting of the host cell and its bacterial associates. Such associations could have collective properties that are not predictable from the properties of the host cell alone. Past studies of these associations have employed culture-based, whole-population methods. In contrast, we examined the composition and variability of bacterial assemblages attached to individual diatoms. Samples were collected in an oligotrophic system (Station ALOHA, 22° 45’ N, 158° 00’ W) at the deep chlorophyll maximum. Forty eukaryotic host cells were isolated by flow cytometry followed by multiple displacement amplification, including 26 Thalassiosira spp., other diatoms, dinoflagellates, coccolithophorids, and flagellates. Bacteria were identified by amplifying, cloning, and sequencing 16S rDNA using primers that select against chloroplast 16S rDNA. Bacterial sequences were recovered from 32 of 40 host cells, and from parallel samples of the free-living and particle-associated bacteria.
    [Show full text]
  • 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
    [Show full text]
  • Identification and Characterization of a Halotolerant, Cold-Active Marine Endo–1,4-Glucanase by Using Functional Metagenomics
    Identification and Characterization of a Halotolerant, Cold-Active Marine Endo-β-1,4-Glucanase by Using Functional Metagenomics of Seaweed-Associated Microbiota Marjolaine Martin, Sophie Biver, Sébastien Steels, Tristan Barbeyron, Murielle Jam, Daniel Portetelle, Gurvan Michel, Micheline Vandenbol To cite this version: Marjolaine Martin, Sophie Biver, Sébastien Steels, Tristan Barbeyron, Murielle Jam, et al.. Identi- fication and Characterization of a Halotolerant, Cold-Active Marine Endo-β-1,4-Glucanase by Using Functional Metagenomics of Seaweed-Associated Microbiota. Applied and Environmental Microbi- ology, American Society for Microbiology, 2014, 80 (16), pp.4958-4967. 10.1128/AEM.01194-14. hal-02138133 HAL Id: hal-02138133 https://hal.archives-ouvertes.fr/hal-02138133 Submitted on 23 May 2019 HAL is a multi-disciplinary open access L’archive ouverte pluridisciplinaire HAL, est archive for the deposit and dissemination of sci- destinée au dépôt et à la diffusion de documents entific research documents, whether they are pub- scientifiques de niveau recherche, publiés ou non, lished or not. The documents may come from émanant des établissements d’enseignement et de teaching and research institutions in France or recherche français ou étrangers, des laboratoires abroad, or from public or private research centers. publics ou privés. AEM Accepts, published online ahead of print on 6 June 2014 Appl. Environ. Microbiol. doi:10.1128/AEM.01194-14 Copyright © 2014, American Society for Microbiology. All Rights Reserved. 1 Functional screening
    [Show full text]
  • Distribution of Aerobic Anoxygenic Phototrophs in Freshwater Plateau Lakes
    Pol. J. Environ. Stud. Vol. 27, No. 2 (2018), 871-879 DOI: 10.15244/pjoes/76039 ONLINE PUBLICATION DATE: 2018-01-15 Original Research Distribution of Aerobic Anoxygenic Phototrophs in Freshwater Plateau Lakes Yingying Tian1, 2, Xingqiang Wu1*, Qichao Zhou3, Oscar Omondi Donde1, 2, 4, Cuicui Tian1, Chunbo Wang1, Bing Feng1, 2, Bangding Xiao1* 1Key Laboratory of Algal Biology of Chinese Academy of Sciences, Institute of Hydrobiology, University of Chinese Academy of Sciences, Wuhan 430072, China 2University of Chinese Academy of Sciences, Beijing 100101, China 3Yunnan Key Laboratory of Pollution Process and Management of Plateau Lake-Watershed, Yunnan Institute of Environmental Science (Kunming China International Research Center for Plateau Lake), Kunming 650034, China 4Egerton University, Department of Environmental Science, P. O. Box 536-20115, Egerton-Kenya Received: 13 February 2017 Accepted: 23 July 2017 Abstract Aerobic anoxygenic phototrophic (AAP) bacteria are known functionally as photoheterotrophic microbes. Though numerously reported from ocean habitats, their distribution in freshwater lakes is far less documented. In the present study we investigated the dynamics of AAP bacteria in freshwater plateau lakes. Results revealed a high abundance of AAP bacteria in eutrophic lakes. Moreover, AAP bacteria were positively correlated with TN, TP, and Chl a, but the variations of AAP bacterial proportion to potential total bacteria (AAPB%). Alphaproteobacteria-related sequences dominated lakes Luguhu, Erhai, and Chenghai at ratios of 93.9, 85.4, and 70.6%, respectively, and in total comprised eight clearly defined subgroups. Sequences affiliated with Beta- and Grammaproteobacteria were found to be rare taxa. Additionally, Alkalibacterium-like sequences belonging to Firmutes were assigned.
    [Show full text]
  • 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
    [Show full text]
  • Roseibacterium Beibuensis Sp. Nov., a Novel Member of Roseobacter Clade Isolated from Beibu Gulf in the South China Sea
    Curr Microbiol (2012) 65:568–574 DOI 10.1007/s00284-012-0192-6 Roseibacterium beibuensis sp. nov., a Novel Member of Roseobacter Clade Isolated from Beibu Gulf in the South China Sea Yujiao Mao • Jingjing Wei • Qiang Zheng • Na Xiao • Qipei Li • Yingnan Fu • Yanan Wang • Nianzhi Jiao Received: 6 April 2012 / Accepted: 25 June 2012 / Published online: 31 July 2012 Ó Springer Science+Business Media, LLC 2012 Abstract A novel aerobic, bacteriochlorophyll-contain- similarity), followed by Dinoroseobacter shibae DFL 12T ing bacteria strain JLT1202rT was isolated from Beibu Gulf (95.4 % similarity). The phylogenetic distance of pufM genes in the South China Sea. Cells were gram-negative, non- between strain JLT1202rT and R. elongatum OCh 323T was motile, and short-ovoid to rod-shaped with two narrower 9.4 %, suggesting that strain JLT1202rT was distinct from the poles. Strain JLT1202rT formed circular, opaque, wine-red only strain of the genus Roseibacterium. Based on the vari- colonies, and grew optimally at 3–4 % NaCl, pH 7.5–8.0 abilities of phylogenetic and phenotypic characteristics, strain and 28–30 °C. The strain was catalase, oxidase, ONPG, JLT1202rT stands for a novel species of the genus Roseibac- gelatin, and Voges–Proskauer test positive. In vivo terium and the name R. beibuensis sp. nov. is proposed with absorption spectrum of bacteriochlorophyll a presented two JLT1202rT as the type strain (=JCM 18015T = CGMCC peaks at 800 and 877 nm. The predominant cellular fatty 1.10994T). acid was C18:1 x7c and significant amounts of C16:0,C18:0, C10:0 3-OH, C16:0 2-OH, and 11-methyl C18:1 x7c were present.
    [Show full text]
  • Taxonomy JN869023
    Species that differentiate periods of high vs. low species richness in unattached communities Species Taxonomy JN869023 Bacteria; Actinobacteria; Actinobacteria; Actinomycetales; ACK-M1 JN674641 Bacteria; Bacteroidetes; [Saprospirae]; [Saprospirales]; Chitinophagaceae; Sediminibacterium JN869030 Bacteria; Actinobacteria; Actinobacteria; Actinomycetales; ACK-M1 U51104 Bacteria; Proteobacteria; Betaproteobacteria; Burkholderiales; Comamonadaceae; Limnohabitans JN868812 Bacteria; Proteobacteria; Betaproteobacteria; Burkholderiales; Comamonadaceae JN391888 Bacteria; Planctomycetes; Planctomycetia; Planctomycetales; Planctomycetaceae; Planctomyces HM856408 Bacteria; Planctomycetes; Phycisphaerae; Phycisphaerales GQ347385 Bacteria; Verrucomicrobia; [Methylacidiphilae]; Methylacidiphilales; LD19 GU305856 Bacteria; Proteobacteria; Alphaproteobacteria; Rickettsiales; Pelagibacteraceae GQ340302 Bacteria; Actinobacteria; Actinobacteria; Actinomycetales JN869125 Bacteria; Proteobacteria; Betaproteobacteria; Burkholderiales; Comamonadaceae New.ReferenceOTU470 Bacteria; Cyanobacteria; ML635J-21 JN679119 Bacteria; Proteobacteria; Betaproteobacteria; Burkholderiales; Comamonadaceae HM141858 Bacteria; Acidobacteria; Holophagae; Holophagales; Holophagaceae; Geothrix FQ659340 Bacteria; Verrucomicrobia; [Pedosphaerae]; [Pedosphaerales]; auto67_4W AY133074 Bacteria; Elusimicrobia; Elusimicrobia; Elusimicrobiales FJ800541 Bacteria; Verrucomicrobia; [Pedosphaerae]; [Pedosphaerales]; R4-41B JQ346769 Bacteria; Acidobacteria; [Chloracidobacteria]; RB41; Ellin6075
    [Show full text]