Impact of Agro-Farming Activities on Microbial Diversity of Acidic Red Soils in a Camellia Oleifera Forest
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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. -
Pinpointing the Origin of Mitochondria Zhang Wang Hanchuan, Hubei
Pinpointing the origin of mitochondria Zhang Wang Hanchuan, Hubei, China B.S., Wuhan University, 2009 A Dissertation presented to the Graduate Faculty of the University of Virginia in Candidacy for the Degree of Doctor of Philosophy Department of Biology University of Virginia August, 2014 ii Abstract The explosive growth of genomic data presents both opportunities and challenges for the study of evolutionary biology, ecology and diversity. Genome-scale phylogenetic analysis (known as phylogenomics) has demonstrated its power in resolving the evolutionary tree of life and deciphering various fascinating questions regarding the origin and evolution of earth’s contemporary organisms. One of the most fundamental events in the earth’s history of life regards the origin of mitochondria. Overwhelming evidence supports the endosymbiotic theory that mitochondria originated once from a free-living α-proteobacterium that was engulfed by its host probably 2 billion years ago. However, its exact position in the tree of life remains highly debated. In particular, systematic errors including sparse taxonomic sampling, high evolutionary rate and sequence composition bias have long plagued the mitochondrial phylogenetics. This dissertation employs an integrated phylogenomic approach toward pinpointing the origin of mitochondria. By strategically sequencing 18 phylogenetically novel α-proteobacterial genomes, using a set of “well-behaved” phylogenetic markers with lower evolutionary rates and less composition bias, and applying more realistic phylogenetic models that better account for the systematic errors, the presented phylogenomic study for the first time placed the mitochondria unequivocally within the Rickettsiales order of α- proteobacteria, as a sister clade to the Rickettsiaceae and Anaplasmataceae families, all subtended by the Holosporaceae family. -
Supplementary Information
doi: 10.1038/nature06269 SUPPLEMENTARY INFORMATION METAGENOMIC AND FUNCTIONAL ANALYSIS OF HINDGUT MICROBIOTA OF A WOOD FEEDING HIGHER TERMITE TABLE OF CONTENTS MATERIALS AND METHODS 2 • Glycoside hydrolase catalytic domains and carbohydrate binding modules used in searches that are not represented by Pfam HMMs 5 SUPPLEMENTARY TABLES • Table S1. Non-parametric diversity estimators 8 • Table S2. Estimates of gross community structure based on sequence composition binning, and conserved single copy gene phylogenies 8 • Table S3. Summary of numbers glycosyl hydrolases (GHs) and carbon-binding modules (CBMs) discovered in the P3 luminal microbiota 9 • Table S4. Summary of glycosyl hydrolases, their binning information, and activity screening results 13 • Table S5. Comparison of abundance of glycosyl hydrolases in different single organism genomes and metagenome datasets 17 • Table S6. Comparison of abundance of glycosyl hydrolases in different single organism genomes (continued) 20 • Table S7. Phylogenetic characterization of the termite gut metagenome sequence dataset, based on compositional phylogenetic analysis 23 • Table S8. Counts of genes classified to COGs corresponding to different hydrogenase families 24 • Table S9. Fe-only hydrogenases (COG4624, large subunit, C-terminal domain) identified in the P3 luminal microbiota. 25 • Table S10. Gene clusters overrepresented in termite P3 luminal microbiota versus soil, ocean and human gut metagenome datasets. 29 • Table S11. Operational taxonomic unit (OTU) representatives of 16S rRNA sequences obtained from the P3 luminal fluid of Nasutitermes spp. 30 SUPPLEMENTARY FIGURES • Fig. S1. Phylogenetic identification of termite host species 38 • Fig. S2. Accumulation curves of 16S rRNA genes obtained from the P3 luminal microbiota 39 • Fig. S3. Phylogenetic diversity of P3 luminal microbiota within the phylum Spirocheates 40 • Fig. -
“Candidatus Deianiraea Vastatrix” with the Ciliate Paramecium Suggests
bioRxiv preprint doi: https://doi.org/10.1101/479196; this version posted November 27, 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. The extracellular association of the bacterium “Candidatus Deianiraea vastatrix” with the ciliate Paramecium suggests an alternative scenario for the evolution of Rickettsiales 5 Castelli M.1, Sabaneyeva E.2, Lanzoni O.3, Lebedeva N.4, Floriano A.M.5, Gaiarsa S.5,6, Benken K.7, Modeo L. 3, Bandi C.1, Potekhin A.8, Sassera D.5*, Petroni G.3* 1. Centro Romeo ed Enrica Invernizzi Ricerca Pediatrica, Dipartimento di Bioscienze, Università 10 degli studi di Milano, Milan, Italy 2. Department of Cytology and Histology, Faculty of Biology, Saint Petersburg State University, Saint-Petersburg, Russia 3. Dipartimento di Biologia, Università di Pisa, Pisa, Italy 4 Centre of Core Facilities “Culture Collections of Microorganisms”, Saint Petersburg State 15 University, Saint Petersburg, Russia 5. Dipartimento di Biologia e Biotecnologie, Università degli studi di Pavia, Pavia, Italy 6. UOC Microbiologia e Virologia, Fondazione IRCCS Policlinico San Matteo, Pavia, Italy 7. Core Facility Center for Microscopy and Microanalysis, Saint Petersburg State University, Saint- Petersburg, Russia 20 8. Department of Microbiology, Faculty of Biology, Saint Petersburg State University, Saint- Petersburg, Russia * Corresponding authors, contacts: [email protected] ; [email protected] 1 bioRxiv preprint doi: https://doi.org/10.1101/479196; this version posted November 27, 2018. -
Relative Genetic Diversity of the Rare and Endangered Agave Shawii Ssp
Received: 17 July 2020 | Revised: 9 December 2020 | Accepted: 14 December 2020 DOI: 10.1002/ece3.7172 ORIGINAL RESEARCH Relative genetic diversity of the rare and endangered Agave shawii ssp. shawii and associated soil microbes within a southern California ecological preserve Jeanne P. Vu1 | Miguel F. Vasquez1 | Zuying Feng1 | Keith Lombardo2 | Sora Haagensen1,3 | Goran Bozinovic1,4 1Boz Life Science Research and Teaching Institute, San Diego, CA, USA Abstract 2Southern California Research Learning Shaw's Agave (Agave shawii ssp. shawii) is an endangered maritime succulent growing Center, National Park Services, San Diego, along the coast of California and northern Baja California. The population inhabiting CA, USA 3University of California San Diego Point Loma Peninsula has a complicated history of transplantation without documen- Extended Studies, La Jolla, CA, USA tation. The low effective population size in California prompted agave transplanting 4 Biological Sciences, University of California from the U.S. Naval Base site (NB) to Cabrillo National Monument (CNM). Since 2008, San Diego, La Jolla, CA, USA there are no agave sprouts identified on the CNM site, and concerns have been raised Correspondence about the genetic diversity of this population. We sequenced two barcoding loci, rbcL Goran Bozinovic, Boz Life Science Research and Teaching Institute, 3030 Bunker Hill St, and matK, of 27 individual plants from 5 geographically distinct populations, includ- San Diego CA 92109, USA. ing 12 individuals from California (NB and CNM). Phylogenetic analysis revealed the Emails: [email protected]; gbozinovic@ ucsd.edu three US and two Mexican agave populations are closely related and have similar ge- netic variation at the two barcoding regions, suggesting the Point Loma agave popu- Funding information National Park Services (NPS) Pacific West lation is not clonal. -
Successful Drug Discovery Informed by Actinobacterial Systematics
Successful Drug Discovery Informed by Actinobacterial Systematics Verrucosispora HPLC-DAD analysis of culture filtrate Structures of Abyssomicins Biological activity T DAD1, 7.382 (196 mAU,Up2) of 002-0101.D V. maris AB-18-032 mAU CH3 CH3 T extract H3C H3C Antibacterial activity (MIC): S. leeuwenhoekii C34 maris AB-18-032 175 mAU DAD1 A, Sig=210,10 150 C DAD1 B, Sig=230,10 O O DAD1 C, Sig=260,20 125 7 7 500 Rt 7.4 min DAD1 D, Sig=280,20 O O O O Growth inhibition of Gram-positive bacteria DAD1 , Sig=310,20 100 Abyssomicins DAD1 F, Sig=360,40 C 75 DAD1 G, Sig=435,40 Staphylococcus aureus (MRSA) 4 µg/ml DAD1 H, Sig=500,40 50 400 O O 25 O O Staphylococcus aureus (iVRSA) 13 µg/ml 0 CH CH3 300 400 500 nm 3 DAD1, 7.446 (300 mAU,Dn1) of 002-0101.D 300 mAU Mode of action: C HO atrop-C HO 250 atrop-C CH3 CH3 CH3 CH3 200 H C H C H C inhibitior of pABA biosynthesis 200 Rt 7.5 min H3C 3 3 3 Proximicin A Proximicin 150 HO O HO O O O O O O O O O A 100 O covalent binding to Cys263 of PabB 100 N 50 O O HO O O Sea of Japan B O O N O O (4-amino-4-deoxychorismate synthase) by 0 CH CH3 CH3 CH3 3 300 400 500 nm HO HO HO HO Michael addition -289 m 0 B D G H 2 4 6 8 10 12 14 16 min Newcastle Michael Goodfellow, School of Biology, University Newcastle University, Newcastle upon Tyne Atacama Desert In This Talk I will Consider: • Actinobacteria as a key group in the search for new therapeutic drugs. -
Corynebacterium Sp.|NML98-0116
1 Limnochorda_pilosa~GCF_001544015.1@NZ_AP014924=Bacteria-Firmicutes-Limnochordia-Limnochordales-Limnochordaceae-Limnochorda-Limnochorda_pilosa 0,9635 Ammonifex_degensii|KC4~GCF_000024605.1@NC_013385=Bacteria-Firmicutes-Clostridia-Thermoanaerobacterales-Thermoanaerobacteraceae-Ammonifex-Ammonifex_degensii 0,985 Symbiobacterium_thermophilum|IAM14863~GCF_000009905.1@NC_006177=Bacteria-Firmicutes-Clostridia-Clostridiales-Symbiobacteriaceae-Symbiobacterium-Symbiobacterium_thermophilum Varibaculum_timonense~GCF_900169515.1@NZ_LT827020=Bacteria-Actinobacteria-Actinobacteria-Actinomycetales-Actinomycetaceae-Varibaculum-Varibaculum_timonense 1 Rubrobacter_aplysinae~GCF_001029505.1@NZ_LEKH01000003=Bacteria-Actinobacteria-Rubrobacteria-Rubrobacterales-Rubrobacteraceae-Rubrobacter-Rubrobacter_aplysinae 0,975 Rubrobacter_xylanophilus|DSM9941~GCF_000014185.1@NC_008148=Bacteria-Actinobacteria-Rubrobacteria-Rubrobacterales-Rubrobacteraceae-Rubrobacter-Rubrobacter_xylanophilus 1 Rubrobacter_radiotolerans~GCF_000661895.1@NZ_CP007514=Bacteria-Actinobacteria-Rubrobacteria-Rubrobacterales-Rubrobacteraceae-Rubrobacter-Rubrobacter_radiotolerans Actinobacteria_bacterium_rbg_16_64_13~GCA_001768675.1@MELN01000053=Bacteria-Actinobacteria-unknown_class-unknown_order-unknown_family-unknown_genus-Actinobacteria_bacterium_rbg_16_64_13 1 Actinobacteria_bacterium_13_2_20cm_68_14~GCA_001914705.1@MNDB01000040=Bacteria-Actinobacteria-unknown_class-unknown_order-unknown_family-unknown_genus-Actinobacteria_bacterium_13_2_20cm_68_14 1 0,9803 Thermoleophilum_album~GCF_900108055.1@NZ_FNWJ01000001=Bacteria-Actinobacteria-Thermoleophilia-Thermoleophilales-Thermoleophilaceae-Thermoleophilum-Thermoleophilum_album -
Changes in Multi-Level Biodiversity and Soil Features in a Burned Beech Forest in the Southern Italian Coastal Mountain
Article Changes in Multi-Level Biodiversity and Soil Features in a Burned Beech Forest in the Southern Italian Coastal Mountain Adriano Stinca 1,* , Maria Ravo 2, Rossana Marzaioli 1,*, Giovanna Marchese 2, Angela Cordella 2, Flora A. Rutigliano 1 and Assunta Esposito 1 1 Department of Environmental Biological and Pharmaceutical Sciences and Technologies, University of Campania Luigi Vanvitelli, Via Vivaldi 43, 81100 Caserta, Italy; fl[email protected] (F.A.R.); [email protected] (A.E.) 2 Genomix4Life S.r.l., Via Allende, 84081 Baronissi (Salerno), Italy; [email protected] (M.R.); [email protected] (G.M.); [email protected] (A.C.) * Correspondence: [email protected] (A.S.); [email protected] (R.M.) Received: 1 August 2020; Accepted: 8 September 2020; Published: 11 September 2020 Abstract: In the context of global warming and increasing wildfire occurrence, this study aims to examine, for the first time, the changes in multi-level biodiversity and key soil features related to soil functioning in a burned Mediterranean beech forest. Two years after the 2017 wildfire, changes between burned and unburned plots of beech forest were analyzed for plant communities (vascular plant and cover, bryophytes diversity, structural, chorological, and ecological variables) and soil features (main chemical properties, microbial biomass and activity, bacterial community composition, and diversity), through a synchronic study. Fire-induced changes in the micro-environmental conditions triggered a secondary succession process with colonization by many native pioneer plant species. Indeed, higher frequency (e.g., Scrophularia vernalis L., Rubus hirtus Waldst. and Kit. group, and Funaria hygrometrica Hedw.) or coverage (e.g., Verbascum thapsus L. -
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 -
Development of Bacterial Communities in Biological Soil Crusts Along
1 Development of bacterial communities in biological soil crusts along 2 a revegetation chronosequence in the Tengger Desert, northwest 3 China 4 5 Author names and affiliations: 6 Lichao Liu1, Yubing Liu1, 2 *, Peng Zhang1, Guang Song1, Rong Hui1, Zengru Wang1, Jin Wang1, 2 7 1Shapotou Desert Research & Experiment Station, Northwest Institute of Eco-Environment and Resources, Chinese 8 Academy of Sciences, Lanzhou, 730000, China 9 2Key Laboratory of Stress Physiology and Ecology in Cold and Arid Regions of Gansu Province, Northwest Institute 10 of Eco–Environment and Resources, Chinese Academy of Sciences, Lanzhou 730000, China 11 12 * Corresponding author: Yubing Liu 13 Address: Donggang West Road 320, Lanzhou 730000, P. R. China. 14 Tel: +86 0931 4967202. 15 E-mail address: [email protected] 16 17 Abstract. Knowledge of structure and function of microbial communities in different 18 successional stages of biological soil crusts (BSCs) is still scarce for desert areas. In this study, 19 Illumina MiSeq sequencing was used to assess the composition changes of bacterial communities 20 in different ages of BSCs in the revegetation of Shapotou in the Tengger Desert. The most dominant 21 phyla of bacterial communities shifted with the changed types of BSCs in the successional stages, 22 from Firmicutes in mobile sand and physical crusts to Actinobacteria and Proteobacteria in BSCs, 23 and the most dominant genera shifted from Bacillus, Enterococcus and Lactococcus to 24 RB41_norank and JG34-KF-361_norank. Alpha diversity and quantitative real-time PCR analysis 25 indicated that bacteria richness and abundance reached their highest levels after 15 years of BSC 26 development. -
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. -
Table S5. the Information of the Bacteria Annotated in the Soil Community at Species Level
Table S5. The information of the bacteria annotated in the soil community at species level No. Phylum Class Order Family Genus Species The number of contigs Abundance(%) 1 Firmicutes Bacilli Bacillales Bacillaceae Bacillus Bacillus cereus 1749 5.145782459 2 Bacteroidetes Cytophagia Cytophagales Hymenobacteraceae Hymenobacter Hymenobacter sedentarius 1538 4.52499338 3 Gemmatimonadetes Gemmatimonadetes Gemmatimonadales Gemmatimonadaceae Gemmatirosa Gemmatirosa kalamazoonesis 1020 3.000970902 4 Proteobacteria Alphaproteobacteria Sphingomonadales Sphingomonadaceae Sphingomonas Sphingomonas indica 797 2.344876284 5 Firmicutes Bacilli Lactobacillales Streptococcaceae Lactococcus Lactococcus piscium 542 1.594633558 6 Actinobacteria Thermoleophilia Solirubrobacterales Conexibacteraceae Conexibacter Conexibacter woesei 471 1.385742446 7 Proteobacteria Alphaproteobacteria Sphingomonadales Sphingomonadaceae Sphingomonas Sphingomonas taxi 430 1.265115184 8 Proteobacteria Alphaproteobacteria Sphingomonadales Sphingomonadaceae Sphingomonas Sphingomonas wittichii 388 1.141545794 9 Proteobacteria Alphaproteobacteria Sphingomonadales Sphingomonadaceae Sphingomonas Sphingomonas sp. FARSPH 298 0.876754244 10 Proteobacteria Alphaproteobacteria Sphingomonadales Sphingomonadaceae Sphingomonas Sorangium cellulosum 260 0.764953367 11 Proteobacteria Deltaproteobacteria Myxococcales Polyangiaceae Sorangium Sphingomonas sp. Cra20 260 0.764953367 12 Proteobacteria Alphaproteobacteria Sphingomonadales Sphingomonadaceae Sphingomonas Sphingomonas panacis 252 0.741416341