Relevant bibliographies by topics / Environmental microbiology (Analysis; Identification)

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Environmental microbiology (Analysis; Identification)'

Author: Grafiati
Published: 4 June 2021
Last updated: 11 February 2022

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Journal articles on the topic "Environmental microbiology (Analysis; Identification)"

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Slany, Michal, Petr Jezek, Vera Fiserova, Monika Bodnarova, Jiri Stork, Marta Havelkova, Frantisek Kalat, and Ivo Pavlik. "Mycobacterium marinum infections in humans and tracing of its possible environmental sources." Canadian Journal of Microbiology 58, no. 1 (January 2012): 39–44. http://dx.doi.org/10.1139/w11-104.

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The low frequency of nontuberculous mycobacterial infections, nonspecific symptoms for individual mycobacteria, and the lack of specific identification methods could alter correct diagnosis. This study presents a combined microbiology and molecular-based approach for Mycobacterium marinum detection in four aquarists with cutaneous mycobacterial infection. Simultaneously, ecology screening for M. marinum presence in the aquarists’ fish tanks was performed. A total of 38 mycobacterial isolates originated from four human patients (n = 20), aquarium animals (n = 8), and an aquarium environment (n = 10). Isolate identification was carried out using 16S rRNA sequence analysis. A microbiology-based approach, followed by 16S rRNA sequence analysis, was successfully used for detection of M. marinum in all four patients. Animal and environmental samples were simultaneously examined, and a total of seven mycobacterial species were isolated: Mycobacterium chelonae , Mycobacterium fortuitum , Mycobacterium gordonae , Mycobacterium kansasii , Mycobacterium mantenii , Mycobacterium marinum , and Mycobacterium peregrinum . The presence of M. marinum was proven in the aquarium environments of two patients. Although M. marinum is described as being present in water, it was detected only in fish.
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Drancourt, Michel, Claude Bollet, Antoine Carlioz, Rolland Martelin, Jean-Pierre Gayral, and Didier Raoult. "16S Ribosomal DNA Sequence Analysis of a Large Collection of Environmental and Clinical Unidentifiable Bacterial Isolates." Journal of Clinical Microbiology 38, no. 10 (2000): 3623–30. http://dx.doi.org/10.1128/jcm.38.10.3623-3630.2000.

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Some bacteria are difficult to identify with phenotypic identification schemes commonly used outside reference laboratories. 16S ribosomal DNA (rDNA)-based identification of bacteria potentially offers a useful alternative when phenotypic characterization methods fail. However, as yet, the usefulness of 16S rDNA sequence analysis in the identification of conventionally unidentifiable isolates has not been evaluated with a large collection of isolates. In this study, we evaluated the utility of 16S rDNA sequencing as a means to identify a collection of 177 such isolates obtained from environmental, veterinary, and clinical sources. For 159 isolates (89.8%) there was at least one sequence in GenBank that yielded a similarity score of ≥97%, and for 139 isolates (78.5%) there was at least one sequence in GenBank that yielded a similarity score of ≥99%. These similarity score values were used to defined identification at the genus and species levels, respectively. For isolates identified to the species level, conventional identification failed to produce accurate results because of inappropriate biochemical profile determination in 76 isolates (58.7%), Gram staining in 16 isolates (11.6%), oxidase and catalase activity determination in 5 isolates (3.6%) and growth requirement determination in 2 isolates (1.5%). Eighteen isolates (10.2%) remained unidentifiable by 16S rDNA sequence analysis but were probably prototype isolates of new species. These isolates originated mainly from environmental sources (P = 0.07). The 16S rDNA approach failed to identify Enterobacter andPantoea isolates to the species level (P = 0.04; odds ratio = 0.32 [95% confidence interval, 0.10 to 1.14]). Elsewhere, the usefulness of 16S rDNA sequencing was compromised by the presence of 16S rDNA sequences with >1% undetermined positions in the databases. Unlike phenotypic identification, which can be modified by the variability of expression of characters, 16S rDNA sequencing provides unambiguous data even for rare isolates, which are reproducible in and between laboratories. The increase in accurate new 16S rDNA sequences and the development of alternative genes for molecular identification of certain taxa should further improve the usefulness of molecular identification of bacteria.
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Torkko, Pirjo, Marja-Leena Katila, and Merja Kontro. "Gas-chromatographic lipid profiles in identification of currently known slowly growing environmental mycobacteria." Journal of Medical Microbiology 52, no. 4 (April 1, 2003): 315–23. http://dx.doi.org/10.1099/jmm.0.05113-0.

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Cellular fatty acid analysis by GLC is widely used in the species identification of mycobacteria. Combining mycolic acid cleavage products with shorter cellular fatty acids increases the informative value of the analysis. A key has been created to aid in the identification of all currently known slowly growing environmental species. In this scheme, the species are classified into six categories, each characterized by a combination of fatty markers shared by those species. Within each category, individual species may be distinguished by the presence or absence of specific marker substances, such as methyl-branched fatty acids or secondary alcohols. This study also describes earlier unpublished GLC profiles of 14 rare, slowly growing, environmental mycobacteria, Mycobacterium asiaticum, Mycobacterium botniense, Mycobacterium branderi, Mycobacterium conspicuum, Mycobacterium cookii, Mycobacterium doricum, Mycobacterium heckeshornense, Mycobacterium heidelbergense, Mycobacterium hiberniae, Mycobacterium kubicae, Mycobacterium lentiflavum, Mycobacterium scrofulaceum, Mycobacterium triplex and Mycobacterium tusciae. Though no single identification technique alone, even sequencing of an entire single gene such as 16S rRNA, can identify all mycobacterial species accurately, GLC has proven to be both reliable and reproducible in the identification of slowly growing mycobacteria. In cases of earlier unknown species, it generates useful information that allows their further classification and may lead to the description of novel species.
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Burton, J. E., O. J. Oshota, and N. J. Silman. "Differential identification of Bacillus anthracis from environmental Bacillus species using microarray analysis." Journal of Applied Microbiology 101, no. 4 (October 2006): 754–63. http://dx.doi.org/10.1111/j.1365-2672.2006.02991.x.

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MACALUSO, ALESSIA, ANNARITA PETRINCA, LUIGI LANNI, STEFANO SACCARES, SONIA AMITI, ROSANNA GABRIELI, and MAURIZIO DIVIZIA. "Identification and Sequence Analysis of Hepatitis A Virus Detected in Market and Environmental Bivalve Molluscs." Journal of Food Protection 69, no. 2 (February 1, 2006): 449–52. http://dx.doi.org/10.4315/0362-028x-69.2.449.

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In Italy in 1998, hepatitis A virus (HAV) was responsible for an infectious disease transmitted by contaminated bivalve molluscs. To determine the presence of HAV in the bivalves collected during a 1-year follow-up study, hepatitis A RNA was extracted and amplified by a nested reverse transcriptase–PCR method overlapping the VP1/2A region. The HAV genome was detected in 24 (14.1%) of 170 samples: 19 clams (Tapes decussates and Tapes semidecussatus), 1 oyster (Crossostea gigas), and 4 mussels (Mytillus galloprovincialis). Eleven positive samples were collected from marketing areas, and 13 positive samples were collected from growing areas. Seventeen of the 24 positive samples had been taken from domestic products, and 7 had been imported. Sequence analysis showed the presence of genotypes IA and IB. Our results suggest significant presence of HAV in bivalves from both marketing (public consumption) and environmental (growing) areas.
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Reffuveille, Fany, Charlène Leneveu, Sylvie Chevalier, Yanick Auffray, and Alain Rincé. "Lipoproteins of Enterococcus faecalis: bioinformatic identification, expression analysis and relation to virulence." Microbiology 157, no. 11 (November 1, 2011): 3001–13. http://dx.doi.org/10.1099/mic.0.053314-0.

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Enterococcus faecalis is a ubiquitous bacterium that is capable of surviving in a broad range of natural environments, including the human host, as either a natural commensal or an opportunistic pathogen involved in severe hospital-acquired infections. How such opportunistic pathogens cause fatal infections is largely unknown but it is likely that they are equipped with sophisticated systems to perceive external signals and interact with eukaryotic cells. Accordingly, being partially exposed at the cell exterior, some surface-associated proteins are involved in several steps of the infection process. Among them are lipoproteins, representing about 25 % of the surface-associated proteins, which could play a major role in bacterial virulence processes. This review focuses on the identification of 90 lipoprotein-encoding genes in the genome of the E. faecalis V583 clinical strain and their putative roles, and provides a transcriptional comparison of microarray data performed in environmental conditions including blood and urine. Taken together, these data suggest a potential involvement of lipoproteins in E. faecalis virulence, making them serious candidates for vaccine production.
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Beau, Frédéric, Claude Bollet, Thierry Coton, Eric Garnotel, and Michel Drancourt. "Molecular Identification of a Nocardiopsis dassonvillei Blood Isolate." Journal of Clinical Microbiology 37, no. 10 (1999): 3366–68. http://dx.doi.org/10.1128/jcm.37.10.3366-3368.1999.

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Nocardiopsis dassonvillei is an environmental aerobic actinomycete seldom isolated in cutaneous and pulmonary infections. We herein report the first N. dassonvillei blood isolate in a patient hospitalized for cholangitis. Although morphological characteristics and biochemical tests allowed a presumptive identification of this isolate, cell wall fatty acid chromatographic analysis confirmed identification at the genus level, and 16S rRNA gene sequencing achieved definite identification. This study illustrates the usefulness of 16S rRNA gene sequencing as a routine method for the identification of actinomycetes.
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Clarridge, Jill E. "Impact of 16S rRNA Gene Sequence Analysis for Identification of Bacteria on Clinical Microbiology and Infectious Diseases." Clinical Microbiology Reviews 17, no. 4 (October 2004): 840–62. http://dx.doi.org/10.1128/cmr.17.4.840-862.2004.

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SUMMARY The traditional identification of bacteria on the basis of phenotypic characteristics is generally not as accurate as identification based on genotypic methods. Comparison of the bacterial 16S rRNA gene sequence has emerged as a preferred genetic technique. 16S rRNA gene sequence analysis can better identify poorly described, rarely isolated, or phenotypically aberrant strains, can be routinely used for identification of mycobacteria, and can lead to the recognition of novel pathogens and noncultured bacteria. Problems remain in that the sequences in some databases are not accurate, there is no consensus quantitative definition of genus or species based on 16S rRNA gene sequence data, the proliferation of species names based on minimal genetic and phenotypic differences raises communication difficulties, and microheterogeneity in 16S rRNA gene sequence within a species is common. Despite its accuracy, 16S rRNA gene sequence analysis lacks widespread use beyond the large and reference laboratories because of technical and cost considerations. Thus, a future challenge is to translate information from 16S rRNA gene sequencing into convenient biochemical testing schemes, making the accuracy of the genotypic identification available to the smaller and routine clinical microbiology laboratories.
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Wintzingerode, Friedrich, Frederick A. Rainey, Reiner M. Kroppenstedt, and Erko Stackebrandt. "Identification of environmental strains of Bacillus mycoides by fatty acid analysis and species-specific 16S rDNA oligonucleotide probe." FEMS Microbiology Ecology 24, no. 3 (January 17, 2006): 201–9. http://dx.doi.org/10.1111/j.1574-6941.1997.tb00437.x.

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Horz, Hans-Peter, Jan-Henrich Rotthauwe, Thomas Lukow, and Werner Liesack. "Identification of major subgroups of ammonia-oxidizing bacteria in environmental samples by T-RFLP analysis of amoA PCR products." Journal of Microbiological Methods 39, no. 3 (February 2000): 197–204. http://dx.doi.org/10.1016/s0167-7012(99)00119-0.

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Dissertations / Theses on the topic "Environmental microbiology (Analysis; Identification)"

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Pacheco, Fábio Luiz Camacho. "Identificação bacteriana por derivação de ácidos graxos extraídos de células íntegras." Universidade de São Paulo, 2009. http://www.teses.usp.br/teses/disponiveis/9/9139/tde-28092009-143513/.

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As salas limpas são amplamente empregadas em indústrias farmacêuticas destinadas a fabricar medicamentos e dispositivos estéreis. Nós empregamos coloração de Gram e cromatografia gasosa de ésteres metílicos de ácidos graxos extraídos de células íntegras de microrganismos ambientais para caracterizar e identificar bactérias isoladas em 50 salas limpas diferentes projetadas para a fabricação de medicamentos estéreis e para fornecer um perfil de ácidos graxos das espécies mais comuns de bactérias isoladas. Uma análise estatística nos permitiu corroborar estudos anteriores e confirmar que cocos Gram positivos é o grupo mais relevante de microrganismos presentes nas salas limpas avaliadas. A espécie predominante é Micrococcus luteus, isolada de salas classe B e de pessoal, seguida de Staphylococcus cohnii em classe C, Bacillus subtilis em classe A e Staphylococcus hominis em classe D. Os perfis de ácidos graxos destas bactérias são, na maioria, consistentes com as bibliotecas padrão. Nós também tentamos estabelecer uma correlação entre a estação do ano e o nível de contaminação, embora a análise de variância tenha mostrado que não há diferença significativa entre o nível de contaminação no decorrer das estações. Além do mais, análises repetidas com um aumento gradual de massa celular nos permitiram concluir que a quantidade ótima de material celular necessário para extração de ácidos graxos varia com a espécie de bactéria. Finalmente, um estudo comparativo de algumas bactérias incubadas em diferentes temperaturas confirmou que o perfil de ácidos graxos é altamente influenciado pela temperatura. Portanto, nós acreditamos que este trabalho possa contribuir para identificar e compreender a comunidade bacteriana de algumas salas limpas farmacêuticas.
Clean rooms are largely employed in pharmaceutical companies whose purpose is to produce sterile drugs and devices. We employed Gram staining and gas chromatography of fatty acid methyl esters extracted from whole cells of environmental isolates to characterize and identify bacteria isolated in each of 50 different clean rooms designed for the manufacturing of sterile medicinal products and to provide a fatty acid profile of the most common species of isolated bacteria. Statistical analysis allowed us to corroborate previous studies and confirm that Gram-positive cocci are the most relevant group of microorganisms inside the studied clean rooms. The predominant species is Micrococcus luteus, isolated from Grade B zones and from personnel, followed by Staphylococcus cohnii in Grade C, Bacillus subtilis in Grade A and S. hominis in Grade D. Fatty acid profiles of these bacteria are, to a great extent, consistent with standard libraries. We also attempted to establish a correlation between season and level of contamination, although variance analysis showed that there is no significant difference on the level of contamination throughout seasons. Furthermore, repeated analysis with a gradual increase in cell mass allowed us to conclude that the optimal amount of cell material depends on the species of the bacteria studied. Finally, a comparative study with some bacteria incubated in different temperatures confirmed that fatty acid profile is highly influenced by temperature. Therefore, we believe that this work can contribute to identify and understand the bacterial community of some pharmaceutical clean rooms.
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O'Rourke, Michele Jane. "Identification and analysis of differentiation components in Bacillus subtilis 168." Thesis, University of Sheffield, 1999. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.312365.

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Inal, Jameel. "Identification and analysis of plasmid-encoded antigenic proteins in Bacillus anthracis." Thesis, Open University, 1992. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.314744.

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Jutras, Eileen Maura 1958. "Field-scale biofiltration: Performance evaluation and microbial analysis." Diss., The University of Arizona, 1997. http://hdl.handle.net/10150/282533.

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Biofiltration has been shown to be an effective method for the remediation of volatile organic compounds (VOC's), particularly petroleum vapors extracted from the vadose zone. Many bacteria have the enzymatic pathways necessary for aerobic mineralization of VOC's to form cell biomass, carbon dioxide and water. Molecular methods such as nucleic acid hybridizations and the polymerase chain reaction (PCR), are methods that can be applied to environmental samples to characterize bacterial community structure and function. The research presented here reports the use of a field-scale biofilter for the remediation of unleaded gasoline vapors extracted from the vadose zone. An evaluation of contaminant removal efficiency over a five month period showed that the biofilter removed 90% of total petroleum hydrocarbons and greater than 90% of the EPA priority pollutants benzene, toluene, ethylbenzene, and xylene. The bacterial consortium in the biofilter medium readily adapted to increased loading rates, and variations in temperature and moisture. A combination of conventional cultural and molecular methods was used to track the bacterial populations over the course of the experiment. Polymerase chain reaction amplification of the small ribosomal subunit DNA sequence was used for identification of bacterial isolates and the design of DNA hybridization probes. Hybridization of these probes to community DNA samples taken from the biofilter over time revealed changes in specific bacterial populations as bioremediation occurred. Specifically, bacteria that could use gasoline, toluene, ethylbenzene or xylene were prevalent throughout the biofilter. Bacterial populations that could degrade xylene gradually increased over time, while overall total population size was the similar in the background sample and at the end of the study.
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Griffith, Rosemary Elaine. "Identification of mixtures of edible oils by the analysis of steryl esters." Thesis, University of Reading, 1989. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.329564.

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Malecha, Michael Markus. "Identification of lubricant contaminants in beverage cans using spectroscopic analysis and chemometrics." Thesis, Cranfield University, 2002. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.269638.

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Yang, Zhan. "Conidia of Aspergillus fumigatus : functional analysis of surface components and identification of receptors for A549 epithelial cells." Thesis, Edinburgh Napier University, 2001. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.391004.

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Farnsworth, Jacob S. "Hot Spot Identification and Analysis Methodology." BYU ScholarsArchive, 2013. https://scholarsarchive.byu.edu/etd/3878.

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The Utah Department of Transportation (UDOT) Traffic and Safety Division continues to advance the safety of roadway sections throughout the state. To aid UDOT in meeting their goal the Department of Civil and Environmental Engineering at Brigham Young University (BYU) has worked with the Statistics Department in developing analysis tools for safety. The most recent of these tools has been the development of a hierarchical Bayesian Poisson Mixture Model (PMM) statistical model of traffic crashes and safety on UDOT roadways statewide and the integration of the results of this model in a Geographic Information System (GIS) framework. This research focuses on the enhancement of the framework for highway safety mitigation in Utah with its six primary steps: 1) network screening, 2) diagnosis, 3) countermeasure selection, 4) economic appraisal, 5) project prioritization, and 6) effectiveness evaluation. The framework was enhanced by developing a methodology for accomplishing the steps of network screening, diagnosis, and countermeasure selection. This methodology is titled, "Hot Spot Identification and Analysis." The hot spot identification and analysis methodology consists of the following seven steps: 1) identify problematic segments with safety concern, 2) identify problem spots within the segments, 3) micro analysis of problematic segments and spots, 4) defining the segment, 5) defining the problem, 6) evaluation of possible countermeasures, and 7) selection and recommendation of feasible countermeasures. The methodology is to help in the identification of hot spots with safety concerns so that they can be analyzed and countermeasures can be identified to mitigate the safety issues. Examples of how the methodology is to function are given with specific examples from Utah's state roadway network.
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Hoosain, Nisreen. "Phenotypic and molecular analysis of Helicobacter spp. and related micro-organisms identified in clinical & environmental specimens." Master's thesis, University of Cape Town, 2006. http://hdl.handle.net/11427/2709.

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Abruquah, Harry H. "Identification of host-pathogen interacting molecules of Campylobacter jejuni using phage display technology and in silico sequence analysis." Thesis, University of Nottingham, 2009. http://eprints.nottingham.ac.uk/10813/.

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Campylobacter jejuni is the leading cause of human gastroenteritis world-wide, and the antecedent infection in Guillain-Barré syndrome. Although much progress has been made regarding its virulence determinants,our understanding of the molecular basis of C. jejuni pathogenesis still lags behind that of other enteric pathogens. Bacterial pathogenesis is often dependent on proteinaceous virulence factors transported to the bacterial cell surface or released into the external environment. Understanding the molecular basis of interactions between these proteins and host cells is necessary in understanding and controlling infections. Background: Previously identified adhesins of C. jejuni NCTC11168 have still not provided us with a total understanding of the pathogenesis of campylobacteriosis. It is hypothesized that as yet unidentified C. jejuni surface proteins interact with host proteins contributing to colonisation and pathogenesis. This study sought to screen the genome of C. jejuni NCTC11168 to identify additional genes that may code for other adhesins using phage display technology and in silico sequence analysis. Methods: A phage display library was constructed by the insertion of randomly fragmented chromosomal DNA of C. jejuni NCTC11168 into the phagemid vector pG8SAET. Following affinity panning of the library against holo- and apo-lactoferrin, enriched clones were screened with ELISA to identify affinity-binding clones. Several phage clones were randomly selected and their C. jejuni DNA inserts sequenced and analysed with bio-informatic tools. In order to identify novel autotransporter proteins of C. jejuni, the amino acid sequences of previously described adhesion-associated autotransporters were employed in BLAST searches of the predicted coding sequences of C. jejuni NCTC11168 genome database. Results: Screening of the phage display library resulted in the identification of C. jejuni NCTC11168 gene, Cj0609c, encoding a putative periplasmic protein, designated LimC, predicted to be a member of the SGNH-family of hydrolases, a diverse family of lipases and esterases. Searching the genome of C. jejuni NCTC11168, Cj0628 was identified as coding a protein with characteristics of autotransporters, designated CapA. CapA was demonstrated to be surface-exposed, mutants of which had a lowered ability to associate with or invade Caco-2 cells and failed to colonize chicken guts, indicating that CapA plays a role in host association and colonization by Campylobacter. Conclusion: LimC may be involved in binding of C. jejuni to lactoferrin for iron acquisition in vivo, and/or play further role in adhesion, colonization and internalisation of C. jejuni into host cells. CapA also plays a role in adhesion. Further characterization of these proteins should contribute to our understanding of the pathogenesis of C. jejuni.
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Books on the topic "Environmental microbiology (Analysis; Identification)"

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Briganti, Louis A. Fatty acid profiling and the identification of environmental bacteria for drinking water utilities. Denver, CO: AWWA Research Foundation and American Water Words Association, 1995.

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Jarvis, B. Statistical aspects of the microbiological analysis of foods. Amsterdam: Elsevier, 1989.

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Brovko, Lubov. Bioluminescence for food and environmental microbiological safety. Bellingham, Wash: SPIE, The International Society for Optical Engineering, 2007.

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Jarvis, B. Statistical aspects of the microbiological examination of foods. 2nd ed. Amsterdam: Academic, 2008.

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1935-, Schwartzbrod L., ed. Viruses in water systems: Detection and identification. New York: VCH, 1988.

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The fecal bacteria. Washington, DC: ASM Press, 2011.

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(Firm), Knovel, ed. The fecal bacteria. Washington, DC: ASM Press, 2011.

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Fouillard, Camille. Identification of major deficiencies with regard to women in the environmental impact statement on military flying activities in Labrador and Quebec. Toronto: National Action Committee on the Status of Women, 1990.

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G, Fiorentino, and Magri Donatella, eds. Charcoals from the past: Cultural and palaeoenvironmental implications : proceedings of the third international meeting of anthracology, Cavallino, Lecce (Italy), June 28th - July 1st 2004. Oxford: Archaeopress, 2008.

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Saeger, Sarah De. Determining mycotoxins and mycotoxigenic fungi in food and feed. Cambridge, UK: Woodhead Publishing, 2011.

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Book chapters on the topic "Environmental microbiology (Analysis; Identification)"

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Cruz, Patricia, and Mark P. Buttner. "Analysis of Bioaerosol Samples." In Manual of Environmental Microbiology, 3.2.3–1–3.2.3–9. Washington, DC, USA: ASM Press, 2015. http://dx.doi.org/10.1128/9781555818821.ch3.2.3.

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Gheorghe, Adrian V., and Michel Nicolet-Monnier. "Hazard Identification and Analysis." In Environmental Science and Technology Library, 1–67. Dordrecht: Springer Netherlands, 1995. http://dx.doi.org/10.1007/978-94-017-0481-6_1.

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Sarode, Neha, Darren J. Parris, Sangita Ganesh, Sherry L. Seston, and Frank J. Stewart. "Generation and Analysis of Microbial Metatranscriptomes." In Manual of Environmental Microbiology, 2.4.5–1–2.4.5–19. Washington, DC, USA: ASM Press, 2015. http://dx.doi.org/10.1128/9781555818821.ch2.4.5.

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Ionescu, Danny, Will A. Overholt, Michael D. J. Lynch, Josh D. Neufeld, Ankur Naqib, and Stefan J. Green. "Microbial Community Analysis Using High-Throughput Amplicon Sequencing." In Manual of Environmental Microbiology, 2.4.2–1–2.4.2–26. Washington, DC, USA: ASM Press, 2015. http://dx.doi.org/10.1128/9781555818821.ch2.4.2.

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Di Giovanni, George D., and Gregory D. Sturbaum. "Quality Control for USEPA Method 1623 Protozoan Analysis and PCR Analyses." In Manual of Environmental Microbiology, 2.5.5–1–2.5.5–4. Washington, DC, USA: ASM Press, 2015. http://dx.doi.org/10.1128/9781555818821.ch2.5.5.

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Green, Stefan J., and Josh D. Neufeld. "Introduction to Microbial Community Analysis of Environmental Samples with Next-Generation Sequencing." In Manual of Environmental Microbiology, 2.4.1–1–2.4.1–6. Washington, DC, USA: ASM Press, 2015. http://dx.doi.org/10.1128/9781555818821.ch2.4.1.

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Pernthaler, A. "Identification of Environmental Microorganisms by Fluorescence in situ Hybridization." In Handbook of Hydrocarbon and Lipid Microbiology, 4127–35. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-540-77587-4_322.

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Turra, Giovanni, Simone Arrigoni, and Alberto Signoroni. "CNN-Based Identification of Hyperspectral Bacterial Signatures for Digital Microbiology." In Image Analysis and Processing - ICIAP 2017, 500–510. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-68548-9_46.

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Hill, W. E., and Ø. Olsvik. "Detection and identification of foodborne microbial pathogens by the polymerase chain reaction: food safety applications." In Rapid Analysis Techniques in Food Microbiology, 268–89. Boston, MA: Springer US, 1995. http://dx.doi.org/10.1007/978-1-4615-2662-9_10.

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Pan, Xiaoping, and Baohong Zhang. "Identification of Stable Reference Genes for Toxicogenomic and Gene Expression Analysis." In Environmental Toxicology and Toxicogenomics, 67–94. New York, NY: Springer US, 2021. http://dx.doi.org/10.1007/978-1-0716-1514-0_6.

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Conference papers on the topic "Environmental microbiology (Analysis; Identification)"

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Flynn, Michael, Linda Powers, and Barry Pyle. "Identification of Extraterrestrial Microbiology Using Fluorescent Analysis Techniques." In International Conference On Environmental Systems. 400 Commonwealth Drive, Warrendale, PA, United States: SAE International, 1999. http://dx.doi.org/10.4271/1999-01-2207.

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Deljou, A., K. Mousavi, A. Ghasemi, and H. Rahimian. "Identification of Mycobacterium sp. as Alfalfa endophytes using 16s rRNA gene sequence analysis." In Proceedings of the II International Conference on Environmental, Industrial and Applied Microbiology (BioMicroWorld2007). WORLD SCIENTIFIC, 2009. http://dx.doi.org/10.1142/9789812837554_0013.

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Pérez-Nevado, F., P. P. Mateos, A. Hernández, A. Martín, M. J. Benito, S. Ruiz-Moyano, and M. G. Córdoba. "Identification of molds associated with green table olives." In Proceedings of the III International Conference on Environmental, Industrial and Applied Microbiology (BioMicroWorld2009). WORLD SCIENTIFIC, 2010. http://dx.doi.org/10.1142/9789814322119_0086.

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Romo-Sánchez, Sheila, Milla Alves-Baffi, María Arévalo-Villena, Juan Úbeda-Iranzo, and Ana Briones-Pérez. "Identification and characterization of yeasts isolated from oleic ecosystems." In Proceedings of the III International Conference on Environmental, Industrial and Applied Microbiology (BioMicroWorld2009). WORLD SCIENTIFIC, 2010. http://dx.doi.org/10.1142/9789814322119_0085.

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Qin, Yu-jie, and Shao-qi Zhou. "Isolation and Identification of Bacteria in the Anammox Activated Sludge." In Proceedings of the II International Conference on Environmental, Industrial and Applied Microbiology (BioMicroWorld2007). WORLD SCIENTIFIC, 2009. http://dx.doi.org/10.1142/9789812837554_0058.

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Cuesta, G., L. Morales, R. García de la Fuente, S. Botella, F. Fornes, and M. Abad. "Identification of actinomycetes with antifungal activity isolated from soil amended with composts." In Proceedings of the II International Conference on Environmental, Industrial and Applied Microbiology (BioMicroWorld2007). WORLD SCIENTIFIC, 2009. http://dx.doi.org/10.1142/9789812837554_0012.

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Kivanç, Merih, Demet Yazicioğlu, and Emine Dinçer. "Lactic acid bacteria from the vagina of healthy Turkish women: identification, hydrogen peroxide production." In Proceedings of the III International Conference on Environmental, Industrial and Applied Microbiology (BioMicroWorld2009). WORLD SCIENTIFIC, 2010. http://dx.doi.org/10.1142/9789814322119_0110.

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Feize, L., D. Minai-Tehrani, B. Behboudi, and E. Keyhani. "Identification of the respiratory chain of Armillaria mellea (A.m.) in mushroom state and cultured in vitro." In Proceedings of the II International Conference on Environmental, Industrial and Applied Microbiology (BioMicroWorld2007). WORLD SCIENTIFIC, 2009. http://dx.doi.org/10.1142/9789812837554_0014.

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Branda, E., B. Turchetti, P. Buzzini, M. Goretti, M. Amici, M. Pecci, G. Diolaiuti, and C. Smiraglia. "Identification of culturable psychrophilic yeasts isolated from sediments and melt waters of the Calderone Glacier (Italy)." In Proceedings of the II International Conference on Environmental, Industrial and Applied Microbiology (BioMicroWorld2007). WORLD SCIENTIFIC, 2009. http://dx.doi.org/10.1142/9789812837554_0055.

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da Silva, M. L. R. Bastos, M. C. C. Pereira de Lyra, I. R. Souza Arruda, M. Vanusa da Silva, and J. Zoé Brito. "Identification of virulence genes in Fusarium oxysporum f. sp. lycopersici the causal agent of tomato wilt disease." In Proceedings of the III International Conference on Environmental, Industrial and Applied Microbiology (BioMicroWorld2009). WORLD SCIENTIFIC, 2010. http://dx.doi.org/10.1142/9789814322119_0014.

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Reports on the topic "Environmental microbiology (Analysis; Identification)"

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Blanton, M. L., A. T. Cooper, and K. J. Castleton. Nonradiological chemical pathway analysis and identification of chemicals of concern for environmental monitoring at the Hanford Site. Office of Scientific and Technical Information (OSTI), November 1995. http://dx.doi.org/10.2172/137162.

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Wright, Kirsten. Collecting Plant Phenology Data In Imperiled Oregon White Oak Ecosystems: Analysis and Recommendations for Metro. Portland State University, March 2020. http://dx.doi.org/10.15760/mem.64.

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Abstract:
Highly imperiled Oregon white oak ecosystems are a regional conservation priority of numerous organizations, including Oregon Metro, a regional government serving over one million people in the Portland area. Previously dominant systems in the Pacific Northwest, upland prairie and oak woodlands are now experiencing significant threat, with only 2% remaining in the Willamette Valley in small fragments (Hulse et al. 2002). These fragments are of high conservation value because of the rich biodiversity they support, including rare and endemic species, such as Delphinium leucophaeum (Oregon Department of Agriculture, 2020). Since 2010, Metro scientists and volunteers have collected phenology data on approximately 140 species of forbs and graminoids in regional oak prairie and woodlands. Phenology is the study of life-stage events in plants and animals, such as budbreak and senescence in flowering plants, and widely acknowledged as a sensitive indicator of environmental change (Parmesan 2007). Indeed, shifts in plant phenology have been observed over the last few decades as a result of climate change (Parmesan 2006). In oak systems, these changes have profound implications for plant community composition and diversity, as well as trophic interactions and general ecosystem function (Willis 2008). While the original intent of Metro’s phenology data-collection was to track long-term phenology trends, limitations in data collection methods have made such analysis difficult. Rather, these data are currently used to inform seasonal management decisions on Metro properties, such as when to collect seed for propagation and when to spray herbicide to control invasive species. Metro is now interested in fine-tuning their data-collection methods to better capture long-term phenology trends to guide future conservation strategies. Addressing the regional and global conservation issues of our time will require unprecedented collaboration. Phenology data collected on Metro properties is not only an important asset for Metro’s conservation plan, but holds potential to support broader research on a larger scale. As a leader in urban conservation, Metro is poised to make a meaningful scientific contribution by sharing phenology data with regional and national organizations. Data-sharing will benefit the common goal of conservation and create avenues for collaboration with other scientists and conservation practitioners (Rosemartin 2013). In order to support Metro’s ongoing conservation efforts in Oregon white oak systems, I have implemented a three-part master’s project. Part one of the project examines Metro’s previously collected phenology data, providing descriptive statistics and assessing the strengths and weaknesses of the methods by which the data were collected. Part two makes recommendations for improving future phenology data-collection methods, and includes recommendations for datasharing with regional and national organizations. Part three is a collection of scientific vouchers documenting key plant species in varying phases of phenology for Metro’s teaching herbarium. The purpose of these vouchers is to provide a visual tool for Metro staff and volunteers who rely on plant identification to carry out aspects of their job in plant conservation. Each component of this project addresses specific aspects of Metro’s conservation program, from day-to-day management concerns to long-term scientific inquiry.
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