Metabolic Network Percolation Quantifies Biosynthetic Capabilities
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Ecology and Evolution of Metabolic Cross-Feeding Interactions in Bacteria† Cite This: Nat
Natural Product Reports View Article Online REVIEW View Journal | View Issue Ecology and evolution of metabolic cross-feeding interactions in bacteria† Cite this: Nat. Prod. Rep.,2018,35,455 Glen D'Souza, ab Shraddha Shitut, ce Daniel Preussger,c Ghada Yousif,cde Silvio Waschina f and Christian Kost *ce Literature covered: early 2000s to late 2017 Bacteria frequently exchange metabolites with other micro- and macro-organisms. In these often obligate cross-feeding interactions, primary metabolites such as vitamins, amino acids, nucleotides, or growth factors are exchanged. The widespread distribution of this type of metabolic interactions, however, is at odds with evolutionary theory: why should an organism invest costly resources to benefit other individuals rather than using these metabolites to maximize its own fitness? Recent empirical work has fi fi Creative Commons Attribution 3.0 Unported Licence. shown that bacterial genotypes can signi cantly bene t from trading metabolites with other bacteria relative to cells not engaging in such interactions. Here, we will provide a comprehensive overview over the ecological factors and evolutionary mechanisms that have been identified to explain the evolution Received 25th January 2018 and maintenance of metabolic mutualisms among microorganisms. Furthermore, we will highlight DOI: 10.1039/c8np00009c general principles that underlie the adaptive evolution of interconnected microbial metabolic networks rsc.li/npr as well as the evolutionary consequences that result for cells living in such communities. 1 Introduction 2.5 Mechanisms of metabolite transfer This article is licensed under a 2 Metabolic cross-feeding interactions 2.5.1 Contact-independent mechanisms 2.1 Historical account 2.5.1.1 Passive diffusion 2.2 Classication of cross-feeding interactions 2.5.1.2 Active transport 2.2.1 Unidirectional by-product cross-feeding 2.5.1.3 Vesicle-mediated transport Open Access Article. -
Alternative Hydrogen Uptake Pathways Suppress Methane Production In
bioRxiv preprint doi: https://doi.org/10.1101/486894; this version posted December 4, 2018. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity.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 December 4, 2018 2 Alternative hydrogen uptake pathways 3 suppress methane production in ruminants 4 Chris Greening1 * #, Renae Geier2 #, Cecilia Wang3, Laura C. Woods1, Sergio E. 5 Morales3, Michael J. McDonald1, Rowena Rushton-Green3, Xochitl C. Morgan3, 6 Satoshi Koike4, Sinead C. Leahy5, William J. Kelly6, Isaac Cann2, Graeme T. 7 Attwood5, Gregory M. Cook3, Roderick I. Mackie2 * 8 9 1 Monash University, School of Biological Sciences, Clayton, VIC 3800, Australia 10 2 University of Illinois at Urbana-Champaign, Department of Animal Sciences and 11 Institute for Genomic Biology, Urbana, IL 61801, USA 12 3 University of Otago, Department of Microbiology and Immunology, Dunedin 9016, 13 New Zealand 14 4 Hokkaido University, Research Faculty of Agriculture, Sapporo, Japan 15 5 AgResearch Ltd., Grasslands Research Centre, Palmerston North 4410, New 16 Zealand. 17 6 Donvis Ltd., Palmerston North 4410, New Zealand. 18 19 # These authors contributed equally to this work. 20 21 * Correspondence can be addressed to: 22 23 Dr Chris Greening ([email protected]), School of Biological Sciences, 24 Monash University, Clayton, VIC 3800, Australia 25 Prof Roderick Mackie ([email protected]), Department of Animal Sciences, 26 Urbana, IL 61801, USA 27 bioRxiv preprint doi: https://doi.org/10.1101/486894; this version posted December 4, 2018. -
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. -
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. -
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 -
Supplemental Material S1.Pdf
Phylogeny of Selenophosphate synthetases (SPS) Supplementary Material S1 ! SelD in prokaryotes! ! ! SelD gene finding in sequenced prokaryotes! We downloaded a total of 8263 prokaryotic genomes from NCBI (see Supplementary Material S7). We scanned them with the program selenoprofiles (Mariotti 2010, http:// big.crg.cat/services/selenoprofiles) using two SPS-family profiles, one prokaryotic (seld) and one mixed eukaryotic-prokaryotic (SPS). Selenoprofiles removes overlapping predictions from different profiles, keeping only the prediction from the profile that seems closer to the candidate sequence. As expected, the great majority of output predictions in prokaryotic genomes were from the seld profile. We will refer to the prokaryotic SPS/SelD !genes as SelD, following the most common nomenclature in literature.! To be able to inspect results by hand, and also to focus on good-quality genomes, we considered a reduced set of species. We took the prok_reference_genomes.txt list from ftp://ftp.ncbi.nlm.nih.gov/genomes/GENOME_REPORTS/, which NCBI claims to be a "small curated subset of really good and scientifically important prokaryotic genomes". We named this the prokaryotic reference set (223 species - see Supplementary Material S8). We manually curated most of the analysis in this set, while we kept automatized the !analysis on the full set.! We detected SelD proteins in 58 genomes (26.0%) in the prokaryotic reference set (figure 1 in main paper), which become 2805 (33.9%) when considering the prokaryotic full set (figure SM1.1). The difference in proportion between the two sets is due largely to the presence of genomes of very close strains in the full set, which we consider redundant. -
Characterization of an Adapted Microbial Population to the Bioconversion of Carbon Monoxide Into Butanol Using Next-Generation Sequencing Technology
Characterization of an adapted microbial population to the bioconversion of carbon monoxide into butanol using next-generation sequencing technology Guillaume Bruant Research officer, Bioengineering group Energy, Mining, Environment - National Research Council Canada Pacific Rim Summit on Industrial Biotechnology and Bioenergy December 8 -11, 2013 Butanol from residue (dry): syngas route biomass → gasification → syngas → catalysis → synfuels (CO, H2, CO2, CH4) (alcohols…) Biocatalysis vs Chemical catalysis potential for higher product specificity may be less problematic when impurities present less energy intensive (low pressure and temperature) Anaerobic undefined mixed culture vs bacterial pure culture mesophilic anaerobic sludge treating agricultural wastes (Lassonde Inc, Rougemont, QC, Canada) PRS 2013 - 2 Experimental design CO Alcohols Serum bottles incubated at Next Generation RDP Pyrosequencing mesophilic temperature Sequencing (NGS) pipeline 35°C for 2 months Ion PGMTM sequencer http://pyro.cme.msu.edu/ sequences filtered CO continuously supplied Monitoring of bacterial and to the gas phase archaeal populations RDP classifier atmosphere of 100% CO, http://rdp.cme.msu.edu/ 1 atm 16S rRNA genes Ion 314TM chip classifier VFAs & alcohol production bootstrap confidence cutoff low level of butanol of 50 % Samples taken after 1 and 2 months total genomic DNA extracted, purified, concentrated PRS 2013 - 3 NGS: bacterial results Bacterial population - Phylum level 100% 80% Other Chloroflexi 60% Synergistetes % -
Phylogenomic Analysis of 589 Metagenome-Assembled Genomes Encompassing All Major Prokaryotic Lineages from the Gut of Higher Termites
Phylogenomic analysis of 589 metagenome-assembled genomes encompassing all major prokaryotic lineages from the gut of higher termites Vincent Hervé1, Pengfei Liu1, Carsten Dietrich1, David Sillam-Dussès2, Petr Stiblik3, Jan Šobotník3 and Andreas Brune1 1 Research Group Insect Gut Microbiology and Symbiosis, Max Planck Institute for Terrestrial Microbiology, Marburg, Germany 2 Laboratory of Experimental and Comparative Ethology EA 4443, Université Paris 13, Villetaneuse, France 3 Faculty of Forestry and Wood Sciences, Czech University of Life Sciences, Prague, Czech Republic ABSTRACT “Higher” termites have been able to colonize all tropical and subtropical regions because of their ability to digest lignocellulose with the aid of their prokaryotic gut microbiota. Over the last decade, numerous studies based on 16S rRNA gene amplicon libraries have largely described both the taxonomy and structure of the prokaryotic communities associated with termite guts. Host diet and microenvironmental conditions have emerged as the main factors structuring the microbial assemblages in the different gut compartments. Additionally, these molecular inventories have revealed the existence of termite-specific clusters that indicate coevolutionary processes in numerous prokaryotic lineages. However, for lack of representative isolates, the functional role of most lineages remains unclear. We reconstructed 589 metagenome-assembled genomes (MAGs) from the different Submitted 29 August 2019 gut compartments of eight higher termite species that encompass 17 prokaryotic -
Molecular Detection of Urogenital Mollicutes in Patients with Invasive Malignant Prostate Tumor Osama Mohammed Saed Abdul-Wahab1, Mishari H
Abdul-Wahab et al. Infectious Agents and Cancer (2021) 16:6 https://doi.org/10.1186/s13027-021-00344-9 RESEARCH ARTICLE Open Access Molecular detection of urogenital mollicutes in patients with invasive malignant prostate tumor Osama Mohammed Saed Abdul-Wahab1, Mishari H. Al-Shyarba2, Boutheina Ben Abdelmoumen Mardassi3, Nessrine Sassi3, Majed Saad Shaya Al Fayi4, Hassan Otifi5, Abdullah Hassan Al Murea6, Béhija Mlik3 and Elhem Yacoub3* Abstract Background: The etiology of prostate cancer (PCa) is multiple and complex. Among the causes recently cited are chronic infections engendered by microorganisms that often go unnoticed. A typical illustration of such a case is infection due to mollicutes bacteria. Generally known by their lurking nature, urogenital mollicutes are the most incriminated in PCa. This study was thus carried out in an attempt to establish the presence of these mollicutes by PCR in biopsies of confirmed PCa patients and to evaluate their prevalence. Methods: A total of 105 Formalin-Fixed Paraffin-Embedded prostate tissues collected from 50 patients suffering from PCa and 55 with benign prostate hyperplasia were subjected to PCR amplification targeting species-specific genes of 5 urogenital mollicutes species, Mycoplasma genitalium, M. hominis, M. fermentans, Ureaplasma parvum, and U. urealyticum. PCR products were then sequenced to confirm species identification. Results significance was statistically assessed using Chi-square and Odds ratio tests. Results: PCR amplification showed no positive results for M. genitalium, M. hominis, and M. fermentans in all tested patients. Strikingly, Ureaplasma spp. were detected among 30% (15/50) of PCa patients. Nucleotide sequencing further confirmed the identified ureaplasma species, which were distributed as follows: 7 individuals with only U. -
The Relationship Between KRAS Gene Mutation and Intestinal Flora in Tumor Tissues of Colorectal Cancer Patients
1085 Original Article Page 1 of 9 The relationship between KRAS gene mutation and intestinal flora in tumor tissues of colorectal cancer patients Xinke Sui1#, Yan Chen1#, Baojun Liu2, Lianyong Li1, Xin Huang1, Min Wang1, Guodong Wang1, Xiaopei Gao1, Lu Zhang1, Xinwei Bao1, Dengfeng Yang3, Xiaoying Wang1, Changqing Zhong1 1Department of Gastroenterology, PLA Strategic Support Force Characteristic Medical Center, Beijing, China; 2Department of Medical Oncology, The Second Affiliated Hospital of Shandong First Medical University, Taian, China; 3Laboratory department, Mian County Hospital, Mian, China Contributions: (I) Conception and design: X Sui, Y Chen, C Zhong, X Wang; (II) Administrative support: L Li; (III) Provision of study materials or patients: B Liu, D Yang; (IV) Collection and assembly of data: X Gao, L Zhang, X Bao; (V) Data analysis and interpretation: X Sui, Y Chen, C Zhong, X Wang, X Huang, M Wang, G Wang; (VI) Manuscript writing: All authors; (VII) Final approval of manuscript: All authors. #These authors contributed equally to this work. Correspondence to: Changqing Zhong; Xiaoying Wang. Department of Gastroenterology, PLA Strategic Support Force Characteristic Medical Center, Beijing, China. Email: [email protected]; [email protected]. Background: Colorectal cancer is among the most prominent malignant tumors endangering human health, with affected populations exhibiting an increasingly younger trend. The Kirsten ras (KRAS) gene acts as a crucial regulator in this disease and influences multiple signaling pathways. In the present study, the KRAS gene mutation-induced alteration of intestinal flora in colorectal cancer patients was explored, and the intestinal microbes that may be affected by the KRAS gene were examined to provide new insights into the diagnosis and treatment of colorectal cancer. -
The Phylogenetic Composition and Structure of Soil Microbial Communities Shifts in Response to Elevated Carbon Dioxide
View metadata, citation and similar papers at core.ac.uk brought to you by CORE provided by University of Minnesota Digital Conservancy The ISME Journal (2012) 6, 259–272 & 2012 International Society for Microbial Ecology All rights reserved 1751-7362/12 www.nature.com/ismej ORIGINAL ARTICLE The phylogenetic composition and structure of soil microbial communities shifts in response to elevated carbon dioxide Zhili He1, Yvette Piceno2, Ye Deng1, Meiying Xu1,3, Zhenmei Lu1,4, Todd DeSantis2, Gary Andersen2, Sarah E Hobbie5, Peter B Reich6 and Jizhong Zhou1,2 1Institute for Environmental Genomics, Department of Botany and Microbiology, University of Oklahoma, Norman, OK, USA; 2Ecology Department, Earth Sciences Division, Lawrence Berkeley National Laboratory, Berkeley, CA, USA; 3Guangdong Provincial Key Laboratory of Microbial Culture Collection and Application, Guangdong Institute of Microbiology, Guangzhou, China; 4College of Life Sciences, Zhejiang University, Hangzhou, China; 5Department of Ecology, Evolution, and Behavior, St Paul, MN, USA and 6Department of Forest Resources, University of Minnesota, St Paul, MN, USA One of the major factors associated with global change is the ever-increasing concentration of atmospheric CO2. Although the stimulating effects of elevated CO2 (eCO2) on plant growth and primary productivity have been established, its impacts on the diversity and function of soil microbial communities are poorly understood. In this study, phylogenetic microarrays (PhyloChip) were used to comprehensively survey the richness, composition and structure of soil microbial communities in a grassland experiment subjected to two CO2 conditions (ambient, 368 p.p.m., versus elevated, 560 p.p.m.) for 10 years. The richness based on the detected number of operational taxonomic units (OTUs) significantly decreased under eCO2. -
Quorum Sensing Modulates the Epibiotic-Parasitic Relationship
fmicb-09-02049 September 24, 2018 Time: 16:12 # 1 ORIGINAL RESEARCH published: 24 September 2018 doi: 10.3389/fmicb.2018.02049 Quorum Sensing Modulates the Epibiotic-Parasitic Relationship Between Actinomyces odontolyticus and Its Saccharibacteria epibiont, a Nanosynbacter lyticus Strain, TM7x Joseph K. Bedree1,2, Batbileg Bor2, Lujia Cen2, Anna Edlund3, Renate Lux4, Jeffrey S. McLean5, Wenyuan Shi2* and Xuesong He2* 1 Section of Oral Biology, Division of Oral Biology and Medicine, School of Dentistry, University of California, Los Angeles, Los Angeles, CA, United States, 2 Department of Microbiology, The Forsyth Institute, Cambridge, MA, United States, 3 Department of Genomic Medicine, J. Craig Venter Institute, La Jolla, CA, United States, 4 Section of Periodontics, Division of Constitutive and Regenerative Sciences, School of Dentistry, University of California, Los Angeles, Los Angeles, CA, United States, 5 Department of Periodontics, School of Dentistry, University of Washington, Seattle, WA, United States Edited by: The ultra-small, obligate parasitic epibiont, TM7x, the first and only current member of Sebastian Fraune, Christian-Albrechts-Universität zu Kiel, the long-elusive Saccharibacteria (formerly the TM7 phylum) phylum to be cultivated, Germany was isolated in co-culture with its bacterial host, Actinomyces odontolyticus subspecies Reviewed by: actinosynbacter, XH001. Initial phenotypic characterization of the TM7x-associated Jürgen Tomasch, XH001 co-culture revealed enhanced biofilm formation in the presence of TM7x Helmholtz-Gemeinschaft Deutscher Forschungszentren (HZ), Germany compared to XH001 as monoculture. Genomic analysis and previously published Tim Miyashiro, transcriptomic profiling of XH001 also revealed the presence of a putative AI-2 quorum Pennsylvania State University, United States sensing (QS) operon, which was highly upregulated upon association of TM7x with *Correspondence: XH001.