Large-Scale Analyses of Glycosylation in Cellulases

被引:0
|
作者
Victor Olman
机构
[1] BioEnergy Science Center,Oak Ridge National Laboratory
[2] Computational Systems Biology Laboratory,Department of Biochemistry and Molecular Biology/Institute of Bioinformatics,University of Georgia
基金
美国国家科学基金会;
关键词
glycosylation; cellulase; large-scale analyses;
D O I
暂无
中图分类号
Q814 [酶工程];
学科分类号
082203 ;
摘要
Cellulases are important glycosyl hydrolases (GHs) that hydrolyze cellulose polymers into smaller oligosaccharides by breaking the cellulose β (1→4) bonds,and they are widely used to produce cellulosic ethanol from the plant biomass.N-linked and O-linked glycosylations were proposed to impact the catalytic efficiency,cellulose binding affinity and the stability of cellulases based on observations of individual cellulases.As far as we know,there has not been any systematic analysis of the distributions of N-linked and O-linked glycosylated residues in cellulases,mainly due to the limited annotations of the relevant functional domains and the glycosylated residues.We have computationally annotated the functional domains and glycosylated residues in cellulases,and conducted a systematic analysis of the distributions of the N-linked and O-linked glycosylated residues in these enzymes.Many N-linked glycosylated residues were known to be in the GH domains of cellulases,but they are there probably just by chance,since the GH domain usually occupies more than half of the sequence length of a cellulase.Our analysis indicates that the O-linked glycosylated residues are significantly enriched in the linker regions between the carbohydrate binding module (CBM) domains and GH domains of cellulases.Possible mechanisms are discussed.
引用
收藏
页码:194 / 199
页数:6
相关论文
共 50 条
  • [41] ORNL PRE-TEST ANALYSES OF A LARGE-SCALE EXPERIMENT IN STYLE
    Williams, Paul T.
    Yin, Shengjun
    Klasky, Hilda B.
    Bass, B. Richard
    PROCEEDINGS OF THE ASME PRESSURE VESSELS AND PIPING CONFERENCE, PVP 2011, VOL 6, A AND B, 2012, : 283 - 292
  • [42] The ENIGMA Consortium: large-scale collaborative analyses of neuroimaging and genetic data
    Paul M. Thompson
    Jason L. Stein
    Sarah E. Medland
    Derrek P. Hibar
    Alejandro Arias Vasquez
    Miguel E. Renteria
    Roberto Toro
    Neda Jahanshad
    Gunter Schumann
    Barbara Franke
    Margaret J. Wright
    Nicholas G. Martin
    Ingrid Agartz
    Martin Alda
    Saud Alhusaini
    Laura Almasy
    Jorge Almeida
    Kathryn Alpert
    Nancy C. Andreasen
    Ole A. Andreassen
    Liana G. Apostolova
    Katja Appel
    Nicola J. Armstrong
    Benjamin Aribisala
    Mark E. Bastin
    Michael Bauer
    Carrie E. Bearden
    Ørjan Bergmann
    Elisabeth B. Binder
    John Blangero
    Henry J. Bockholt
    Erlend Bøen
    Catherine Bois
    Dorret I. Boomsma
    Tom Booth
    Ian J. Bowman
    Janita Bralten
    Rachel M. Brouwer
    Han G. Brunner
    David G. Brohawn
    Randy L. Buckner
    Jan Buitelaar
    Kazima Bulayeva
    Juan R. Bustillo
    Vince D. Calhoun
    Dara M. Cannon
    Rita M. Cantor
    Melanie A. Carless
    Xavier Caseras
    Gianpiero L. Cavalleri
    Brain Imaging and Behavior, 2014, 8 : 153 - 182
  • [43] An efficient approach to large-scale genotype-phenotype association analyses
    Yang, Runqing
    Li, Hongwang
    Fu, Lina
    Liu, Yongxin
    BRIEFINGS IN BIOINFORMATICS, 2014, 15 (05) : 814 - 822
  • [44] Large-scale snake genome analyses provide insights into vertebrate development
    Peng, Changjun
    Wu, Dong-Dong
    Ren, Jin-Long
    Peng, Zhong-Liang
    Ma, Zhifei
    Wu, Wei
    Lv, Yunyun
    Wang, Zeng
    Deng, Cao
    Jiang, Ke
    Parkinson, Christopher L.
    Qi, Yin
    Zhang, Zhi-Yi
    Li, Jia-Tang
    CELL, 2023, 186 (14) : 2959 - +
  • [45] trimAl: a tool for automated alignment trimming in large-scale phylogenetic analyses
    Capella-Gutierrez, Salvador
    Silla-Martinez, Jose M.
    Gabaldon, Toni
    BIOINFORMATICS, 2009, 25 (15) : 1972 - 1973
  • [46] Large-scale genetic analyses in an understudied disease: haemorrhoidal disease Comment
    Festen, Eleonora A. M.
    Weersma, Rinse K.
    GUT, 2021, 70 (08) : 1429 - 1430
  • [47] The potential of international large-scale assessments for meta-analyses in education
    Ronny Scherer
    Fazilat Siddiq
    Trude Nilsen
    Large-scale Assessments in Education, 12
  • [48] Scaling Analyses for Large-Scale Space-Based Membrane Optics
    Shepherd, Michael J.
    Cobb, Richard G.
    Palazotto, Anthony N.
    Baker, William P.
    AIAA JOURNAL, 2011, 49 (07) : 1313 - 1323
  • [49] DNA from Nails for Genetic Analyses in Large-Scale Epidemiologic Studies
    Hogervorst, Janneke G. F.
    Godschalk, Roger W. L.
    van den Brandt, Piet A.
    Weijenberg, Matty P.
    Verhage, Bas A. J.
    Jonkers, Leonie
    Goessens, Joy
    Simons, Colinda C. J. M.
    Vermeesch, Joris R.
    van Schooten, Frederik J.
    Schouten, Leo J.
    CANCER EPIDEMIOLOGY BIOMARKERS & PREVENTION, 2014, 23 (12) : 2703 - 2712
  • [50] The ENIGMA Consortium: large-scale collaborative analyses of neuroimaging and genetic data
    Thompson, Paul M.
    Stein, Jason L.
    Medland, Sarah E.
    Hibar, Derrek P.
    Vasquez, Alejandro Arias
    Renteria, Miguel E.
    Toro, Roberto
    Jahanshad, Neda
    Schumann, Gunter
    Franke, Barbara
    Wright, Margaret J.
    Martin, Nicholas G.
    Agartz, Ingrid
    Alda, Martin
    Alhusaini, Saud
    Almasy, Laura
    Almeida, Jorge
    Alpert, Kathryn
    Andreasen, Nancy C.
    Andreassen, Ole A.
    Apostolova, Liana G.
    Appel, Katja
    Armstrong, Nicola J.
    Aribisala, Benjamin
    Bastin, Mark E.
    Bauer, Michael
    Bearden, Carrie E.
    Bergmann, Orjan
    Binder, Elisabeth B.
    Blangero, John
    Bockholt, Henry J.
    Boen, Erlend
    Bois, Catherine
    Boomsma, Dorret I.
    Booth, Tom
    Bowman, Ian J.
    Bralten, Janita
    Brouwer, Rachel M.
    Brunner, Han G.
    Brohawn, David G.
    Buckner, Randy L.
    Buitelaar, Jan
    Bulayeva, Kazima
    Bustillo, Juan R.
    Calhoun, Vince D.
    Cannon, Dara M.
    Cantor, Rita M.
    Carless, Melanie A.
    Caseras, Xavier
    Cavalleri, Gianpiero L.
    BRAIN IMAGING AND BEHAVIOR, 2014, 8 (02) : 153 - 182