T ed. Rijeka: InTech; 2011. p. 309?0. 30. Stals I, Sandra K, Geysens S
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T ed. Rijeka: InTech; 2011. p. 309?0. 30. Stals I, Sandra K, Geysens S, Contreras R, Van Beeumen J, Claeyssens M. Variables influencing glycosylation of Trichoderma reesei cellulases. I: postsecretorial changes of your O- and N-glycosylation pattern of Cel7A. Glycobiology. 2004;fourteen:713?4. 31. Rosgaard L, Pedersen S, Langston J, Akerhielm D, Cherry JR, Meyer AS. Analysis of minimal Trichoderma reesei cellulase mixtures on otherwise pretreated barley PubMed ID:https://www.ncbi.nlm.nih.gov/pubmed/11011031 straw substrates. Biotechnol Prog. 2007;23:1270?. 32. Baker JO, Ehrman CI, Adney WS, Thomas SR, Himmel ME. Hydrolysis of cellulose employing ternary mixtures of purified celluloses. Appl Biochem Biotechnol. 1998;70?:395?03. 33. Qin YQ, Wei XM, Liu XM, Wang TH, Qu YB. Purification and characterization of recombinant endoglucanase of Trichoderma reesei expressed in Saccharomyces cerevisiae with better glycosylation and stability. Protein Expr Purif. 2008;58:162?. 34. Takashima S, Iikura H, Nakamura A, Hidaka M, Masaki H, Uozumi T. Overproduction Carbonic Anhydrase one, Human (His) of recombinant Trichoderma reesei cellulases by Aspergillus oryzae and their enzymatic homes. J Biotechnol. 1998;65:163?one. 35. Mandels M, Andreotti RE. Complications and worries in cellulose to cellulase fermentation. Method Biochem. 1978;13:six.Post your future manuscript to BioMed Central and take comprehensive advantage of:?Practical on line submission ?Thorough peer assessment ?No place constraints or color figure expenses ?Instant publication on acceptance ?Inclusion in PubMed, CAS, Scopus and Google Scholar ?Study that is freely accessible for redistributionSubmit your manuscript at www.biomedcentral.com/submit
Zou et al. BMC Plant Biology 2010, 10:189 http://www.biomedcentral.com/1471-2229/10/RESEARCH ARTICLEOpen AccessIdentification of transcriptome induced in roots of maize seedlings within the late stage of waterloggingXiling Zou, Yuanyuan Jiang, Lei Liu, Zuxin Zhang, Yonglian Zheng*AbstractBackground: Crops respond to reduced oxygen stress, especially that prompted by waterlogging, by altering transcription and translation. Prior research have mainly focused on revealing the mechanism on the response with the early stage, and there is minimal information and facts in regards to the transcriptional profile of genes in maize roots with the late stage of waterlogging. The genetic foundation of waterlogging tolerance is essentially unknown. In this examine, the transcriptome on the late stage of waterlogging was assayed in root cells of the tolerant inbred line HZ32, employing suppression subtractive hybridization (SSH). A forward SSH library applying RNA populations from four time factors (12 h, 16 h, twenty h and 24 h) after waterlogging treatment method was manufactured to expose up-regulated genes, and transcriptional and linkage facts was integrated to determine applicant genes for waterlogging tolerance. Success: Reverse Northern evaluation of the set of 768 cDNA clones through the SSH library disclosed a large number of genes had been up-regulated by waterlogging. A complete of 465 ESTs were being assembled into 296 unigenes. Bioinformatic evaluation uncovered that the genes have been included in sophisticated pathways, these as signal transduction, protein degradation, ion transport, carbon and amino acid metabolic process, and transcriptional and translational regulation, and might engage in crucial roles with the late phase of your response to waterlogging. A significant number of unigenes have been of unknown purpose. Approximately sixty seven in the unigenes can be aligned about the maize genome and 63 of these were being co-located within described QTLs. Conclusion: The la.
Zou et al. BMC Plant Biology 2010, 10:189 http://www.biomedcentral.com/1471-2229/10/RESEARCH ARTICLEOpen AccessIdentification of transcriptome induced in roots of maize seedlings within the late stage of waterloggingXiling Zou, Yuanyuan Jiang, Lei Liu, Zuxin Zhang, Yonglian Zheng*AbstractBackground: Crops respond to reduced oxygen stress, especially that prompted by waterlogging, by altering transcription and translation. Prior research have mainly focused on revealing the mechanism on the response with the early stage, and there is minimal information and facts in regards to the transcriptional profile of genes in maize roots with the late stage of waterlogging. The genetic foundation of waterlogging tolerance is essentially unknown. In this examine, the transcriptome on the late stage of waterlogging was assayed in root cells of the tolerant inbred line HZ32, employing suppression subtractive hybridization (SSH). A forward SSH library applying RNA populations from four time factors (12 h, 16 h, twenty h and 24 h) after waterlogging treatment method was manufactured to expose up-regulated genes, and transcriptional and linkage facts was integrated to determine applicant genes for waterlogging tolerance. Success: Reverse Northern evaluation of the set of 768 cDNA clones through the SSH library disclosed a large number of genes had been up-regulated by waterlogging. A complete of 465 ESTs were being assembled into 296 unigenes. Bioinformatic evaluation uncovered that the genes have been included in sophisticated pathways, these as signal transduction, protein degradation, ion transport, carbon and amino acid metabolic process, and transcriptional and translational regulation, and might engage in crucial roles with the late phase of your response to waterlogging. A significant number of unigenes have been of unknown purpose. Approximately sixty seven in the unigenes can be aligned about the maize genome and 63 of these were being co-located within described QTLs. Conclusion: The la.
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