000107417 001__ 107417
000107417 005__ 20210930091336.0
000107417 0247_ $$2doi$$a10.1016/j.ymben.2020.09.008
000107417 0248_ $$2sideral$$a121547
000107417 037__ $$aART-2020-121547
000107417 041__ $$aeng
000107417 100__ $$0(orcid)0000-0002-5895-2157$$aGayan, E.$$uUniversidad de Zaragoza
000107417 245__ $$aSynthetic reconstruction of extreme high hydrostatic pressure resistance in Escherichia coli
000107417 260__ $$c2020
000107417 5060_ $$aAccess copy available to the general public$$fUnrestricted
000107417 5203_ $$aAlthough high hydrostatic pressure (HHP) is an interesting parameter to be applied in bioprocessing, its potential is currently limited by the lack of bacterial chassis capable of surviving and maintaining homeostasis under pressure. While several efforts have been made to genetically engineer microorganisms able to grow at sublethal pressures, there is little information for designing backgrounds that survive more extreme pressures. In this investigation, we analyzed the genome of an extreme HHP-resistant mutant of E. coli MG1655 (designated as DVL1), from which we identified four mutations (in the cra, cyaA, aceA and rpoD loci) causally linked to increased HHP resistance. Analysing the functional effect of these mutations we found that the coupled effect of downregulation of cAMP/CRP, Cra and the glyoxylate shunt activity, together with the upregulation of RpoH and RpoS activity, could mechanistically explain the increased HHP resistance of the mutant. Using combinations of three mutations, we could synthetically engineer E. coli strains able to comfortably survive pressures of 600-800 MPa, which could serve as genetic backgrounds for HHP-based biotechnological applications.
000107417 540__ $$9info:eu-repo/semantics/openAccess$$aAll rights reserved$$uhttp://www.europeana.eu/rights/rr-f/
000107417 590__ $$a9.783$$b2020
000107417 591__ $$aBIOTECHNOLOGY & APPLIED MICROBIOLOGY$$b10 / 159 = 0.063$$c2020$$dQ1$$eT1
000107417 592__ $$a3.141$$b2020
000107417 593__ $$aApplied Microbiology and Biotechnology$$c2020$$dQ1
000107417 593__ $$aBiotechnology$$c2020$$dQ1
000107417 593__ $$aBioengineering$$c2020$$dQ1
000107417 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/acceptedVersion
000107417 700__ $$aVan den Bergh, B.
000107417 700__ $$aMichiels, J.
000107417 700__ $$aMichiels, C.W.
000107417 700__ $$aAertsen, A.
000107417 7102_ $$12008$$2780$$aUniversidad de Zaragoza$$bDpto. Produc.Animal Cienc.Ali.$$cÁrea Tecnología de Alimentos
000107417 773__ $$g62 (2020), 287-297$$pMetab. eng.$$tMETABOLIC ENGINEERING$$x1096-7176
000107417 8564_ $$s744736$$uhttps://zaguan.unizar.es/record/107417/files/texto_completo.pdf$$yPostprint
000107417 8564_ $$s1002705$$uhttps://zaguan.unizar.es/record/107417/files/texto_completo.jpg?subformat=icon$$xicon$$yPostprint
000107417 909CO $$ooai:zaguan.unizar.es:107417$$particulos$$pdriver
000107417 951__ $$a2021-09-30-08:23:44
000107417 980__ $$aARTICLE