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020 _a9783662527788
024 7 _a10.1007/978-3-662-52778-8
_2doi
040 _aES-MaUEC
_bspa
_cES-MaUEC
245 1 0 _aHydrocarbon and Lipid Microbiology Protocols
_bMicrobial Quantitation, Community Profiling and Array Approaches
_cedited by Terry J. McGenity, Kenneth N. Timmis, Balbina Nogales.
250 _a1st edition 2017
264 1 _aBerlin, Heidelberg
_bSpringer International Publising
_c2017
300 _a1 recurso en línea (X, 252 páginas)
_b30 ilustraciones, 12 ilustraciones a color
336 _atexto
_btxt
_2rdacontent
337 _aelectrónico
_bc
_2rdamedia
338 _arecurso electrónico
_bcr
_2rdacarrier
347 _aarchivo de texto
_bPDF
490 0 _aSpringer Protocols Handbooks
_x1949-2456
505 0 _aIntroduction to Microbial Quantitation, Community Profiling, and Array Approaches -- A cell extraction method for oily sediments -- Introduction to microplate MPN-enumeration of hydrocarbon degraders -- Primers for dsr genes and Most Probable Number Method for detection of sulfate-reducing bacteria in oil reservoirs -- Microbial biomass and community analysis by PLFA analysis -- Real-time PCR approaches for analysis of hydrocarbon-degrading bacterial communities -- Clone libraries of ribosomal RNA gene sequences for characterization of microbial communities -- Denaturing gradient gel electrophoresis (DGGE) for microbial community analysis -- Microbial community profiling: SSCP and T-RFLP techniques -- Microbial community analysis by single-amplicon high-throughput sequencing (metagenetics) - preparation, data handling and ecological analysis -- Multiplex fluorescent antibody microarrays and antibody graphs for microbial and biomarker detection in the environment -- Studying protistan communities in hydrocarbon-contaminated environments.
520 _aThis Volume presents methods for quantifying microbial populations and characterising microbial communities by extracting and analysing biomarkers such as RNA, DNA and lipids. The chapters cover a wide range of topics, including: cell separation from oil-rich environments, enumeration of hydrocarbon degraders and sulphate reducers using most-probable-number techniques, and quantification by means of real-time PCR. A variety of molecular methods are described for microbial community profiling, such as phospholipid fatty acid analysis, DGGE, T-RFLP and SSCP. One chapter examines high-throughput sequencing, and provides important information on the associated procedures required for thorough data analysis. A further chapter is devoted to the characterisation of protistan communities, while the closing chapter describes multiplex fluorescent antibody microarrays for detecting microbial biomarkers. Hydrocarbon and Lipid Microbiology Protocols There are tens of thousands of structurally different hydrocarbons, hydrocarbon derivatives and lipids, and a wide array of these molecules are required for cells to function. The global hydrocarbon cycle, which is largely driven by microorganisms, has a major impact on our environment and climate. Microbes are responsible for cleaning up the environmental pollution caused by the exploitation of hydrocarbon reservoirs and will also be pivotal in reducing our reliance on fossil fuels by providing biofuels, plastics and industrial chemicals. Gaining an understanding of the relevant functions of the wide range of microbes that produce, consume and modify hydrocarbons and related compounds will be key to responding to these challenges. This comprehensive collection of current and emerging protocols will facilitate acquisition of this understanding and exploitation of useful activities of such microbes.
700 1 _aMcGenity, Terry J
_eeditor literario
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aTimmis, Kenneth N
_eeditor literario
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aNogales, Balbina
_eeditor literario
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
776 0 8 _iPrinted edition:
_z9783662527764
776 0 8 _iPrinted edition:
_z9783662527771
776 0 8 _iPrinted edition:
_z9783662570814
856 4 0 _uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-662-52778-8
_z(usuarios Universidad Europea de Valencia)
942 _2lcc
_cLE
988 _aSpringer_Protocols_2017
999 _c233780
_d233780