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020 _a9783662504321
024 7 _a10.1007/978-3-662-50432-1
_2doi
040 _aES-MaUEC
_bspa
_cES-MaUEC
245 1 0 _aHydrocarbon and Lipid Microbiology Protocols
_bSynthetic and Systems Biology - Tools
_cedited by Terry J. McGenity, Kenneth N. Timmis, Balbina Nogales.
250 _a1st edition 2016
264 1 _aBerlin, Heidelberg
_bSpringer International Publising
_c2016
300 _a1 recurso en línea (X, 199 páginas)
_b
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 -- Protocol for the standardisation of transcriptional measurements -- Uracil-excision for assembly of complex pathways -- Quantitative physiology approaches to understand and optimize reducing power availability in environmental bacteria -- Design of orthogonal pairs for protein translation: selection systems for genetically encoding noncanonical amino acids in E. coli -- Phenome-ing microbes -- Systems biology tools for methylotrophs -- Protocols for probing genome architecture of regulatory networks in hydrocarbon and lipid microorganisms -- A practical protocol for genome-scale metabolic reconstruction -- Computer-guided metabolic engineering -- Improving biocontainment with synthetic biology: beyond physical containment.
520 _aThis Volume presents generic protocols for wet experimental and computer-based systems and synthetic biology approaches relevant to the field of hydrocarbon and lipid microbiology. It complements a second Volume that describes protocols for systems and synthetic biology applications. The wet experimental tools presented in this Volume include protocols for the standardisation of transcriptional measurements, application of uracil excision-based DNA editing for, inter alia, multi-gene assembly, the use of fluxomics to optimise "reducing power availability", and the incorporation of non-canonical amino acids into proteins for optimisation of activities. Phenome-ing microbes, using a combination of RNA-seq and bioinformatic algorithms, is presented, as is an illustration, using methylotrophs as an example, of how the different key omics approaches constitute a pipeline for functional analysis, acquisition of a systems overview, and metabolic optimisation. Complementary computational tools that are presented include protocols for probing the genome architecture of regulatory networks, genome-scale metabolic reconstruction, and bioinformatic approaches to guide metabolic engineering. The Volume also includes an overview of how synthetic biology approaches can be used to improve biocontainment. 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:
_z9783662504307
776 0 8 _iPrinted edition:
_z9783662504314
776 0 8 _iPrinted edition:
_z9783662570586
856 4 0 _uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-662-50432-1
_z(usuarios Universidad Europea de Valencia)
942 _2lcc
_cLE
988 _aSpringer_Protocols_2016
999 _c233772
_d233772