Microbial Communities Across a Hillslope‐Riparian Transect Shaped by Proximity to the Stream, Groundwater Table, and Weathered Bedrock
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Core Sulphate-Reducing Microorganisms in Metal-Removing Semi-Passive Biochemical Reactors and the Co-Occurrence of Methanogens
microorganisms Article Core Sulphate-Reducing Microorganisms in Metal-Removing Semi-Passive Biochemical Reactors and the Co-Occurrence of Methanogens Maryam Rezadehbashi and Susan A. Baldwin * Chemical and Biological Engineering, University of British Columbia, 2360 East Mall, Vancouver, BC V6T 1Z3, Canada; [email protected] * Correspondence: [email protected]; Tel.: +1-604-822-1973 Received: 2 January 2018; Accepted: 17 February 2018; Published: 23 February 2018 Abstract: Biochemical reactors (BCRs) based on the stimulation of sulphate-reducing microorganisms (SRM) are emerging semi-passive remediation technologies for treatment of mine-influenced water. Their successful removal of metals and sulphate has been proven at the pilot-scale, but little is known about the types of SRM that grow in these systems and whether they are diverse or restricted to particular phylogenetic or taxonomic groups. A phylogenetic study of four established pilot-scale BCRs on three different mine sites compared the diversity of SRM growing in them. The mine sites were geographically distant from each other, nevertheless the BCRs selected for similar SRM types. Clostridia SRM related to Desulfosporosinus spp. known to be tolerant to high concentrations of copper were members of the core microbial community. Members of the SRM family Desulfobacteraceae were dominant, particularly those related to Desulfatirhabdium butyrativorans. Methanogens were dominant archaea and possibly were present at higher relative abundances than SRM in some BCRs. Both hydrogenotrophic and acetoclastic types were present. There were no strong negative or positive co-occurrence correlations of methanogen and SRM taxa. Knowing which SRM inhabit successfully operating BCRs allows practitioners to target these phylogenetic groups when selecting inoculum for future operations. -
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 -
Qt9d3054wm.Pdf
Lawrence Berkeley National Laboratory Recent Work Title Surveys, simulation and single-cell assays relate function and phylogeny in a lake ecosystem. Permalink https://escholarship.org/uc/item/9d3054wm Journal Nature microbiology, 1(9) ISSN 2058-5276 Authors Preheim, Sarah P Olesen, Scott W Spencer, Sarah J et al. Publication Date 2016-08-15 DOI 10.1038/nmicrobiol.2016.130 Peer reviewed eScholarship.org Powered by the California Digital Library University of California Surveys, simulation and single-cell assays relate function and phylogeny in a lake ecosystem Sarah P. Preheim , Scott W. Olesen , Sarah J. Spencer , Arne Materna , Charuleka Varadharajan , Matthew Blackburn , Jonathan Friedman , Jorge Rodríguez , Harold Hemond & Eric J. Alm Nature Microbiology volume1, Article number: 16130 (2016) | Download Citation Abstract Much remains unknown about what drives microbial community structure and diversity. Highly structured environments might offer clues. For example, it may be possible to identify metabolically similar species as groups of organisms that correlate spatially with the geochemical processes they carry out. Here, we use a 16S ribosomal RNA gene survey in a lake that has chemical gradients across its depth to identify groups of spatially correlated but phylogenetically diverse organisms. Some groups had distributions across depth that aligned with the distributions of metabolic processes predicted by a biogeochemical model, suggesting that these groups performed biogeochemical functions. A single-cell genetic assay showed, however, that the groups associated with one biogeochemical process, sulfate reduction, contained only a few organisms that have the genes required to reduce sulfate. These results raise the possibility that some of these spatially correlated groups are consortia of phylogenetically diverse and metabolically different microbes that cooperate to carry out geochemical functions. -
An Integrated Metagenomics and Metabolomics Approach Implicates the Microbiome-Gut-Brain-Axis in the Pathogenesis of Huntington’S Disease Transgenic Mice
An integrated metagenomics and metabolomics approach implicates the microbiome-gut-brain-axis in the pathogenesis of Huntington’s disease transgenic mice Geraldine Kong The Florey Institute of Neuroscience and Mental Health Susan Ellul University of Melbourne Vinod Narayana University of Melbourne Komal Kanojia University of Melbourne Harvey Tran Thai Ha The Florey Institute of Neuroscience and Mental Health Shanshan Li The Florey Institute of Neuroscience and Mental Health Thibault Renoir The Florey Institute of Neuroscience and Mental Health Kim-Anh Le Cao University of Melbourne Anthony Hannan ( anthony.hannan@≈orey.edu.au ) Florey Institute of Neuroscience and Mental Health, University of Melbourne https://orcid.org/0000- 0001-7532-8922 Research Keywords: Gut microbiome, Huntington’s disease, metagenomics, metabolomics, brain disorder, mouse model DOI: https://doi.org/10.21203/rs.2.23316/v1 License: This work is licensed under a Creative Commons Attribution 4.0 International License. Read Full License Page 1/30 Abstract Background: Huntington’s disease (HD) is an autosomal dominant neurodegenerative disorder with onset and severity of symptoms in≈uenced by various environmental factors. Recent discoveries have highlighted the importance of the gastrointestinal microbiome in mediating the bidirectional communication between the central and enteric nervous system via circulating factors. Using shotgun sequencing, we investigated the gut microbiome composition in the R6/1 transgenic mouse model of HD from 4 to 12 weeks of age (early adolescent through to adult stages). Targeted metabolomics was also performed on the blood plasma of these mice (n=9 per group) at 12 weeks of age to investigate potential effects of gut dysbiosis on the plasma metabolome proƒle. -
Pila Genes. the Location of Alpha Helices (Represented by Red H) and Beta Strands (Represented by Yellow E) Was Predicted with Jpred 4 (Drozdetskiy Et Al, 2015)
Supplementary Figure S1. Secondary structure of the N-terminus of PilA proteins from Desulfuromondales species and other bacteria that possess type IVa pilA genes. The location of alpha helices (represented by red H) and beta strands (represented by yellow E) was predicted with Jpred 4 (Drozdetskiy et al, 2015). Transmembrane helices (green background) were predicted with TmPred (Hofmann & Stoffel, 1993), TMHMM (Krogh et al, 2001), and HMMTOP (Tusnady & Simon, 2001). G. bemidjiensis (Gbem_2590) MLNKLRSNKGFTLIELLIVVAIIGILAAIAIPQFSAYREKAYNAASNSDLKNFKTGLEAFNADFQTYPAAYVASTN ---HHH----HHHHHHHHHHHHHHHHHHHH----HHHHHHHHHHHHH-----HHHHHHHHHH-------EEEE--- G. bremensis (K419DRAFT_00801) MLNKLRSNKGFTLIELLIVVAIIGILAAIAIPQFSAYREKAYNAASNSDLKNWKTGQEAYQADFQAYPAAYDVH --HHHH----HHHHHHHHHHHHHHHHHHH----HHHHHHHHHH------HHHHHHHHHHHHHHH---------- Pelobacter seleniigenes (N909DRAFT_0006) MLKKFRKNEKGFTLIELLIVVAIIGILAAIAIPQFASYRQKAFNSASQSDLKTIKTSLEGYYTDEYYYPY --HHHHH-----HHHHHHHHHHHHHHHHHHHHH-HHHHHHHHHHHHHHHHHHHHHHHHHHHHH------- Geobacter sp. OR-1 (WP_041974243) MLSKLRSNKGFTLIELLIVVAIIGILAAIAIPQFSAYREKAYNTAANADDKNAKTGEEAYNADNQKYPLAYDQH --HHHHH----HHHHHHHHHHHHHHHHHHH---HHHHHHHHHHHHHHHHHHHHHHHHHHHHH------------ Geobacter sp. M18 (GM18_2492) MLNKIRSNKGFTLIELLIVVAIIGILAAIAIPQFSAYRAKAYNAAANSDLKNIKTGMEAYMADRQAYPVSLDER --HHHHH-----HHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHH------------ Geobacter sp. M21 MLNKLRSNKGFTLIELLIVVAIIGILAAIAIPQFSAYRAKAYNSAANSDLKNMKTGMEAYMADRQAYPALLDQR --HHHHH-----HHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHH----------- Desulfuromonas -
A Web Tool for Hydrogenase Classification and Analysis
bioRxiv preprint doi: https://doi.org/10.1101/061994; this version posted September 16, 2016. 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 HydDB: A web tool for hydrogenase 2 classification and analysis 3 Dan Søndergaarda, Christian N. S. Pedersena, Chris Greeningb, c* 4 5 a Aarhus University, Bioinformatics Research Centre, C.F. Møllers Allé 8, Aarhus 6 DK-8000, Denmark 7 b The Commonwealth Scientific and Industrial Research Organisation, Land and 8 Water Flagship, Clunies Ross Street, Acton, ACT 2060, Australia 9 c Monash University, School of Biological Sciences, Clayton, VIC 2800, Australia 10 11 Correspondence: 12 Dr Chris Greening ([email protected]), Monash University, School of 13 Biological Sciences, Clayton, VIC 2800, Australia 14 Dan Søndergaard ([email protected]), Aarhus University, Bioinformatics Research 15 Centre, C.F. Møllers Allé 8, Aarhus DK-8000, Denmark 1 bioRxiv preprint doi: https://doi.org/10.1101/061994; this version posted September 16, 2016. 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. 16 Abstract 17 H2 metabolism is proposed to be the most ancient and diverse mechanism of 18 energy-conservation. The metalloenzymes mediating this metabolism, 19 hydrogenases, are encoded by over 60 microbial phyla and are present in all major 20 ecosystems. -
The University of Oklahoma Graduate College
THE UNIVERSITY OF OKLAHOMA GRADUATE COLLEGE ISOTOPIC FRACTIONATION AND ANAEROBIC PHYSIOLOGY OF n-ALKANE DEGRADATION BY BACTERIAL ISOLATES AND MIXED COMMUNITIES A DISSERTATION SUBMITTED TO THE GRADUATE FACULTY in partial fulfillment of the requirements for the Degree of DOCTOR OF PHILOSOPHY By BRANDON E. L. MORRIS Norman, OK 2011 ISOTOPIC FRACTIONATION AND ANAEROBIC PHYSIOLOGY OF n-ALKANE DEGRADATION BY BACTERIAL ISOLATES AND MIXED COMMUNITIES A DISSERTATION APPROVED FOR THE DEPARTMENT OF BOTANY AND MICROBIOLOGY BY ____________________________ Dr. Joseph M. Suflita, Chair ____________________________ Dr. Michael J. McInerney ____________________________ Dr. Paul A. Lawson ____________________________ Dr. Tyrrell Conway ____________________________ Dr. Paul F. Cook © Copyright by BRANDON E. L. MORRIS, 2011 All Rights Reserved. Acknowledgements First and foremost, I would like to gratefully acknowledge the guidance of my advisor Dr. Joseph Suflita and his role in my development as a scientific researcher. I hereby recognize my committee members, Dr. Michael McInerney, Dr. Paul Cook, Dr. Tyrrell Conway, and Dr. Paul Lawson for their support and thoughtful discussions throughout my graduate career at the University of Oklahoma. All of these admirable researchers were principle in helping me develop scientific judgment and the ability to carry out meaningful research. My colleagues in the Suflita lab past and present, including Dr. Lisa Gieg, Dr. Victoria Parisi, Dr. Irene Davidova, Dr. Deniz Aktas, Carolina Berdugo, Margarita Mendivelso, and Chris Lyles deserve recognition for their support and contribution to my skill set, including the ability to investigate anaerobic hydrocarbon degradation, cultivate anaerobic organisms, and develop analytical methods. Roughly two years of my graduate career was spent in collaboration with Dr. -
Distribution of Sulfate-Reducing Communities from Estuarine to Marine Bay Waters Yannick Colin, M
Distribution of Sulfate-Reducing Communities from Estuarine to Marine Bay Waters Yannick Colin, M. Goñi-Urriza, C. Gassie, E. Carlier, M. Monperrus, R. Guyoneaud To cite this version: Yannick Colin, M. Goñi-Urriza, C. Gassie, E. Carlier, M. Monperrus, et al.. Distribution of Sulfate- Reducing Communities from Estuarine to Marine Bay Waters. Microbial Ecology, Springer Verlag, 2017, 73 (1), pp.39-49. 10.1007/s00248-016-0842-5. hal-01499135 HAL Id: hal-01499135 https://hal.archives-ouvertes.fr/hal-01499135 Submitted on 26 Sep 2017 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. Distributed under a Creative Commons Attribution - ShareAlike| 4.0 International License Microb Ecol (2017) 73:39–49 DOI 10.1007/s00248-016-0842-5 MICROBIOLOGY OF AQUATIC SYSTEMS Distribution of Sulfate-Reducing Communities from Estuarine to Marine Bay Waters Yannick Colin 1,2 & Marisol Goñi-Urriza1 & Claire Gassie1 & Elisabeth Carlier 1 & Mathilde Monperrus3 & Rémy Guyoneaud1 Received: 23 May 2016 /Accepted: 17 August 2016 /Published online: 31 August 2016 # Springer Science+Business Media New York 2016 Abstract Estuaries are highly dynamic ecosystems in which gradient. The concentration of cultured sulfidogenic microor- freshwater and seawater mix together. -
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 -
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. -
Compile.Xlsx
Silva OTU GS1A % PS1B % Taxonomy_Silva_132 otu0001 0 0 2 0.05 Bacteria;Acidobacteria;Acidobacteria_un;Acidobacteria_un;Acidobacteria_un;Acidobacteria_un; otu0002 0 0 1 0.02 Bacteria;Acidobacteria;Acidobacteriia;Solibacterales;Solibacteraceae_(Subgroup_3);PAUC26f; otu0003 49 0.82 5 0.12 Bacteria;Acidobacteria;Aminicenantia;Aminicenantales;Aminicenantales_fa;Aminicenantales_ge; otu0004 1 0.02 7 0.17 Bacteria;Acidobacteria;AT-s3-28;AT-s3-28_or;AT-s3-28_fa;AT-s3-28_ge; otu0005 1 0.02 0 0 Bacteria;Acidobacteria;Blastocatellia_(Subgroup_4);Blastocatellales;Blastocatellaceae;Blastocatella; otu0006 0 0 2 0.05 Bacteria;Acidobacteria;Holophagae;Subgroup_7;Subgroup_7_fa;Subgroup_7_ge; otu0007 1 0.02 0 0 Bacteria;Acidobacteria;ODP1230B23.02;ODP1230B23.02_or;ODP1230B23.02_fa;ODP1230B23.02_ge; otu0008 1 0.02 15 0.36 Bacteria;Acidobacteria;Subgroup_17;Subgroup_17_or;Subgroup_17_fa;Subgroup_17_ge; otu0009 9 0.15 41 0.99 Bacteria;Acidobacteria;Subgroup_21;Subgroup_21_or;Subgroup_21_fa;Subgroup_21_ge; otu0010 5 0.08 50 1.21 Bacteria;Acidobacteria;Subgroup_22;Subgroup_22_or;Subgroup_22_fa;Subgroup_22_ge; otu0011 2 0.03 11 0.27 Bacteria;Acidobacteria;Subgroup_26;Subgroup_26_or;Subgroup_26_fa;Subgroup_26_ge; otu0012 0 0 1 0.02 Bacteria;Acidobacteria;Subgroup_5;Subgroup_5_or;Subgroup_5_fa;Subgroup_5_ge; otu0013 1 0.02 13 0.32 Bacteria;Acidobacteria;Subgroup_6;Subgroup_6_or;Subgroup_6_fa;Subgroup_6_ge; otu0014 0 0 1 0.02 Bacteria;Acidobacteria;Subgroup_6;Subgroup_6_un;Subgroup_6_un;Subgroup_6_un; otu0015 8 0.13 30 0.73 Bacteria;Acidobacteria;Subgroup_9;Subgroup_9_or;Subgroup_9_fa;Subgroup_9_ge; -
Copyright © 2018 by Boryoung Shin
HYDROCARBON DEGRADATION UNDER CONTRASTING REDOX CONDITIONS IN SHALLOW COASTAL SEDIMENTS OF THE NORTHERN GULF OF MEXICO A Dissertation Presented to The Academic Faculty by Boryoung Shin In Partial Fulfillment of the Requirements for the Degree Doctor of Philosophy in the Georgia Institute of Technology Georgia Institute of Technology May 2018 COPYRIGHT © 2018 BY BORYOUNG SHIN HYDROCARBON DEGRADATION UNDER CONTRASTING REDOX CONDITIONS IN SHALLOW COASTAL SEDIMENTS OF THE NORTHERN GULF OF MEXICO Approved by: Dr. Joel E. Kostka, Advisor Dr. Kuk-Jeong Chin School of Biologial Sciences Department of Biology Georgia Institute of Technology Georgia State University Dr. Martial Taillefert Dr. Karsten Zengler School of Earth and Atmospheric Sciences Department of Pediatrics Georgia Institute of Technology University of California, San Diego Dr. Thomas DiChristina School of Biological Sciences Georgia Institute of Technology Date Approved: 03/15/2018 ACKNOWLEDGEMENTS I would like to express my sincere gratitude to my advisor Prof. Joel E Kostka for the continuous support of my Ph.D studies and related research, for his patience, and immense knowledge. His guidance greatly helped me during the research and writing of this thesis. Besides my advisor, I would like to thank the rest of my thesis committee: Prof. Martial Taillefert, Prof. Thomas DiChristina, Prof. Kuk-Jeong Chin, and Prof. Karsten Zengler for their insightful comments and encouragement, but also for the hard questions which provided me with incentive to widen my research perspectives. I thank my fellow labmates for the stimulating discussions and for all of the fun we had in the last six years. Last but not the least, I would like to greatly thank my family: my parents and to my brother for supporting me spiritually throughout my whole Ph.D period and my life in general.