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Lectin affinity-based glycoproteome analysis of the developing xylem in poplar

  • # These authors contributed equally: Hao Cheng, Jinwen Liu

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  • Glycosylation is a significant post-translational modification of proteins, and some glycoproteins serve as players in plant cell wall synthesis and modification. Wood is a highly developed cell wall organization, and protein glycosylation as a regulatory mechanism may be involved in wood formation. Here, a lectin affinity-based glycoproteome was performed in stem developing xylem of poplar. After enrichment, trypsin digestion, LC-MS/MS analysis and peptide identification, we identified 154 glycoproteins from poplar developing xylem, which were classified into nine functional groups mainly including protein acting on carbohydrates, oxido-reductase, proteases, and protein kinases. Further, N- and/or O-glycosylation sites of the identified proteins were analyzed using bioinformatic tools, and deglycosylation experiments in the selected PtSOD and PtHAD proteins verified the reliability of the identified glycoproteins. Analysis of protein subcellular localization showed that a total of 63% of the identified glycoproteins were extracellular proteins or located in the plasma membrane. Poplar eFP and RT-qPCR data showed that a number of the genes encoding these glycoproteins such as laccase, peroxidase and cysteine protease, have highly preferential expression profiles in the developing xylem. Together with previously published research, most identified glycoproteins could be involved in wood cell wall synthesis and modification in poplar. Thus, our study provides some potential wood formation-related glycoproteins to be determined during tree stem development.
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  • Supplemental Table S1 The single spot in 2D gels was identified to contain more than a protein.
    Supplemental Table S2 The subcellular localization prediction of the proteins identified in Populus developing xylem.
    Supplemental Table S3 The glycosylation sites prediction of the expressed proteins identified in developing xylem in Populus
    Supplemental Fig S1 Prediction and analysis of the number of glycosylation sites in glycoproteins. Glycosylation site prediction of identified proteins with three bioinformatic softwares. (1. NetNGlyc 1.0; 2. NetOGlyc 4.0; 3. GlycoEP). Refer to the supplemental Table S3 for detailed analysis.
    Supplemental Fig S2 Hierarchical clustering of the identified glycoprotein expression profiles in different tissues. The microarray data were downloaded from the Poplar eFP browser. Color scale at the right of the dendrogram represents log2 expression values.
  • [1]

    Velasquez SM, Ricardi MM, Dorosz JG, Fernandez PV, Nadra AD, et al. 2011. O- glycosylated cell wall proteins are essential in root hair growth. Science 332:1401−3

    doi: 10.1126/science.1206657

    CrossRef   Google Scholar

    [2]

    Barnes WJ, Anderson CT. 2018. Release, recycle, rebuild: cell-wall remodeling, autodegradation, and sugar salvage for new wall biosynthesis during plant development. Molecular Plant 11:31−46

    doi: 10.1016/j.molp.2017.08.011

    CrossRef   Google Scholar

    [3]

    Carpita NC, Gibeaut DM. 1993. Structural models of primary cell walls in flowering plants, consistency of molecular structure with the physical properties of the walls during growth. The Plant Journal 3:1−30

    doi: 10.1111/j.1365-313X.1993.tb00007.x

    CrossRef   Google Scholar

    [4]

    De Rybel B, Mähönen AP, Helariutta Y, Weijers D. 2016. Plant vascular development: from early specification to differentiation. Nature Reviews Molecular Cell Biology 17:30−40

    doi: 10.1038/nrm.2015.6

    CrossRef   Google Scholar

    [5]

    Fry SC. 2004. Primary cell wall metabolism: tracking the careers of wall polymers in living plant cells. New Phytologist 161:641−75

    doi: 10.1111/j.1469-8137.2004.00980.x

    CrossRef   Google Scholar

    [6]

    Passardi F, Penel C, Dunand C. 2004. Performing the paradoxical: how plant peroxidases modify the cell wall. Trends in Plant Science 9:534−40

    doi: 10.1016/j.tplants.2004.09.002

    CrossRef   Google Scholar

    [7]

    Saint-Jore-Dupas C, Nebenführ A, Boulaflous A, Follet-Gueye ML, Plasson C, et al. 2006. Plant N-glycan processing enzymes employ different targeting mechanisms for their spatial arrangement along the secretory pathway. The Plant Cell 18:3182−200

    doi: 10.1105/tpc.105.036400

    CrossRef   Google Scholar

    [8]

    Apweiler R, Hermjakob H, Sharon N. 1999. On the frequency of protein glycosylation, as deduced from analysis of the SWISS-PROT database. Biochimica et Biophysica Acta (BBA) - General Subjects 1473:4−8

    doi: 10.1016/S0304-4165(99)00165-8

    CrossRef   Google Scholar

    [9]

    Budnik BA, Lee RS, Steen JAJ. 2006. Global methods for protein glycosylation analysis by mass spectrometry. Biochimica et Biophysica Acta (BBA) - Proteins and Proteomic 1764:1870−80

    doi: 10.1016/j.bbapap.2006.10.005

    CrossRef   Google Scholar

    [10]

    Faye L, Boulaflous A, Benchabane M, Gomord V, Michaud D. 2005. Protein modifications in the plant secretory pathway: current status and practical implications in molecular pharming. Vaccine 23:1770−78

    doi: 10.1016/j.vaccine.2004.11.003

    CrossRef   Google Scholar

    [11]

    Bu T, Shen J, Chao Q, Shen Z, Yan Z, et al. 2017. Dynamic N-glycoproteome analysis of maize seedling leaves during de-etiolation using Concanavalin A lectin affinity chromatography and a nano-LC–MS/MS-based iTRAQ approach. Plant Cell Reports 36:1943−58

    doi: 10.1007/s00299-017-2209-x

    CrossRef   Google Scholar

    [12]

    Kieliszewski MJ, Shpak E. 2001. Synthetic genes for the elucidation of glycosylation codes for arabinogalactan-proteins and other hydroxyproline-rich glycoproteins. Cellular and Molecular Life Sciences CMLS 58:1386−98

    doi: 10.1007/PL00000783

    CrossRef   Google Scholar

    [13]

    Pan S, Chen R, Aebersold R, Brentnall TA. 2010. Mass spectrometry based glycoproteomics—from a proteomics perspective. Molecular & Cellular Proteomics 10:R110.003251

    doi: 10.1074/mcp.R110.003251

    CrossRef   Google Scholar

    [14]

    Karam AK, Karlan BY. 2010. Ovarian cancer: the duplicity of CA125 measurement. Nature Reviews Clinical Oncology 6:335−39

    doi: 10.1038/nrclinonc.2010.44

    CrossRef   Google Scholar

    [15]

    Jin L, Wessely O, Marcusson EG, Ivan C, Calin GA, et al. 2013. Prooncogenic factors miR-23b and miR-27b are regulated by Her2/Neu, EGF, and TNF-α in breast cancer. Cancer Research 73:2884−96

    doi: 10.1158/0008-5472.can-12-2162

    CrossRef   Google Scholar

    [16]

    Gilgunn S, Conroy PJ, Saldova R, Rudd PM, O'Kennedy RJ. 2013. Aberrant PSA glycosylation-a sweet predictor of prostate cancer. Nature Reviews Urology 10:99−107

    doi: 10.1038/nrurol.2012.258

    CrossRef   Google Scholar

    [17]

    Ruiz-May E, Hucko S, Howe KJ, Zhang S, Sherwood RW, et al. 2014. A comparative study of lectin affinity based plant N-glycoproteome profiling using tomato fruit as a model. Molecular & Cellular Proteomics 13:566−79

    doi: 10.1074/mcp.M113.028969

    CrossRef   Google Scholar

    [18]

    Catalá C, Howe KJ, Hucko S, Rose JKC, Thannhauser TW. 2011. Towards characterization of the glycoproteome of tomato (Solanum lycopersicum) fruit using Concanavalin A lectin affinity chromatography and LC-MALDI-MS/MS analysis. Proteomics 11:1530−44

    doi: 10.1002/pmic.201000424

    CrossRef   Google Scholar

    [19]

    Minic Z, Jamet E, Négroni L, Arsene der Garabedian PA, Zivy M, et al. 2007. A sub-proteome of Arabidopsis thaliana mature stems trapped on Concanavalin A is enriched in cell wall glycoside hydrolases. Journal of Experimental Botany 58:2503−12

    doi: 10.1093/jxb/erm082

    CrossRef   Google Scholar

    [20]

    Komatsu S, Yamada E, Furukawa K. 2009. Cold stress changes the concanavalin A-positive glycosylation pattern of proteins expressed in the basal parts of rice leaf sheaths. Amino Acids 36:115−23

    doi: 10.1007/s00726-008-0039-4

    CrossRef   Google Scholar

    [21]

    Kumar S, Kumar K, Pandey P, Rajamani V, Padmalatha KV, et al. 2013. Glycoproteome of elongating cotton fiber cells. Molecular & Cellular Proteomics 12:3677−89

    doi: 10.1074/mcp.M113.030726

    CrossRef   Google Scholar

    [22]

    Zhang Y, Giboulot A, Zivy M, Valot B, Jamet E, et al. 2011. Combining various strategies to increase the coverage of the plant cell wall glycoproteome. Phytochemistry 72:1109−23

    doi: 10.1016/j.phytochem.2010.10.019

    CrossRef   Google Scholar

    [23]

    Helenius A, Aebi M. 2004. Roles of N-linked glycans in the endoplasmic reticulum. Annual Review of Biochemistry 73:1019−49

    doi: 10.1146/annurev.biochem.73.011303.073752

    CrossRef   Google Scholar

    [24]

    Spiro RG. 2002. Protein glycosylation: nature, distribution, enzymatic formation, and disease implications of glycopeptide bonds. Glycobiology 12:43R−56R

    doi: 10.1093/glycob/12.4.43R

    CrossRef   Google Scholar

    [25]

    Zhang M, Chen G, Lv D, Li X, Yan Y. 2015. N-Linked glycoproteome profiling of seedling leaf in Brachypodium distachyon L. Journal of Proteome Research 14:1727−38

    doi: 10.1021/pr501080r

    CrossRef   Google Scholar

    [26]

    Schwarz FP, Misquith S, Surolia A. 1996. Effect of substituent on the thermodynamics of D-glucopyranoside binding to concanavalin A, pea (Pisum sativum) lectin and lentil (Lens culinaris) lectin. The American Journal of Clinical Nutrition 316:123−29

    doi: 10.1042/bj3160123

    CrossRef   Google Scholar

    [27]

    Kubota Y, Fujioka K, Takekawa M. 2017. WGA-based lectin affinity gel electrophoresis: A novel method for the detection of O-GlcNAc-modified proteins. PLoS One 12:e0180714

    doi: 10.1371/journal.pone.0180714

    CrossRef   Google Scholar

    [28]

    Peumans WJ, Hause B, Van Damme EJ. 2000. The galactose-binding and mannose-binding jacalin-related lectins are located in different sub-cellular compartments. FEBS Letters 477:186−92

    doi: 10.1016/S0014-5793(00)01801-9

    CrossRef   Google Scholar

    [29]

    Sharma V, Srinivas VR, Adhikari P, Vijayan M, Surolia A. 1998. Molecular basis of recognition by Gal/GalNAc specific legume lectins: influence of Glu 129 on the specificity of peanut agglutinin (PNA) towards C2-substituents of galactose. Glycobiology 8:1007−12

    doi: 10.1093/glycob/8.10.1007

    CrossRef   Google Scholar

    [30]

    Berthet S, Demont-Caulet N, Pollet B, Bidzinski P, Cézard L, et al. 2011. Disruption of LACCASE4 and 17 results in tissue-specific alterations to lignification of Arabidopsis thaliana stems. The Plant Cell 23:1124−37

    doi: 10.1105/tpc.110.082792

    CrossRef   Google Scholar

    [31]

    Gabaldón C, López-Serrano M, Pedreño MA, Barceló AR. 2005. Cloning and molecular characterization of the basic peroxidase isoenzyme from Zinnia elegans, an enzyme involved in lignin biosynthesis. Plant Physiology 139:1138−54

    doi: 10.1104/pp.105.069674

    CrossRef   Google Scholar

    [32]

    Huang G, Gong S, Xu WL, Li W, Li P, et al. 2013. A Fasciclin-like arabinogalactan protein, GhFLA1, is involved in fiber initiation and elongation of cotton. Plant Physiology 161:1278−90

    doi: 10.1104/pp.112.203760

    CrossRef   Google Scholar

    [33]

    Bienert MD, Delannoy M, Navarre C, Boutry M. 2012. NtSCP1 from Tobacco is an extracellular serine carboxypeptidase III that has an impact on cell elongation. Plant Physiology 158:1220−29

    doi: 10.1104/pp.111.192088

    CrossRef   Google Scholar

    [34]

    Endo T. 1996. Fractionation of glycoprotein-derived oligosaccharides by affinity chromatography using immobilized lectin columns. Journal of Chromatography A 720:251−61

    doi: 10.1016/0021-9673(95)00220-0

    CrossRef   Google Scholar

    [35]

    Kaji H, Saito H, Yamauchi Y, Shinkawa T, Taoka M, et al. 2003. Lectin affinity capture, isotope-coded tagging and mass spectrometry to identify N-linked glycoproteins. Nature Biotechnology 21:667−72

    doi: 10.1038/nbt829

    CrossRef   Google Scholar

    [36]

    Drake RR, Schwegler EE, Malik G, Diaz J, Block T, et al. 2006. Lectin capture strategies combined with mass spectrometry for the discovery of serum glycoprotein biomarkers. Molecular & Cellular Proteomics 5:1957−67

    doi: 10.1074/mcp.M600176-MCP200

    CrossRef   Google Scholar

    [37]

    Washburn MP, Wolters D, Yates JR. 2001. Large-scale analysis of the yeast proteome by multidimensional protein identification technology. Nature Biotechnology 19:242−47

    doi: 10.1038/85686

    CrossRef   Google Scholar

    [38]

    Bayer EM, Bottrill AR, Walshaw J, Vigouroux M, Naldrett MJ, et al. 2006. Arabidopsis cell wall proteome defined using multidimensional protein identification technology. Proteomics 6:301−11

    doi: 10.1002/pmic.200500046

    CrossRef   Google Scholar

    [39]

    Zhu J, Alvarez S, Marsh EL, Lenoble ME, Cho IJ, et al. 2007. Cell wall proteome in the maize primary root elongation zone. II. Region-specific changes in water soluble and lightly ionically bound proteins under water deficit. Plant Physiology 145:1533−48

    doi: 10.1104/pp.107.107250

    CrossRef   Google Scholar

    [40]

    Yang Z, Liu H, Wang X, Zeng Q. 2013. Molecular evolution and expression divergence of the Populus polygalacturonase supergene family shed light on the evolution of increasingly complex organs in plants. New Phytologist 197:1353−65

    doi: 10.1111/nph.12107

    CrossRef   Google Scholar

    [41]

    Minic Z. 2008. Physiological roles of plant glycoside hydrolases. Planta 227:723−40

    doi: 10.1007/s00425-007-0668-y

    CrossRef   Google Scholar

    [42]

    Vissenberg K, Stephen C, Fry SC, Pauly M, Höfte H, Verbelen JP. 2005. XTH acts at the microfibril – matrix interface during cell elongation. Journal of Experimental Botany 56:673−83

    doi: 10.1093/jxb/eri048

    CrossRef   Google Scholar

    [43]

    Phan TD, Bo W, West G, Lycett GW, Tucker GA. 2007. Silencing of the major salt-dependent isoform of pectinesterase in tomato alters fruit softening. Plant Physiology 144:1960−67

    doi: 10.1104/pp.107.096347

    CrossRef   Google Scholar

    [44]

    Chávez Montes RA, Ranocha P, Martinez Y, Minic Z, Jouanin L, et al. 2008. Cell wall modifications in Arabidopsis plants with altered α-L-Arabinofuranosidase activity. Plant PPhysiology 147:63−77

    doi: 10.1104/pp.107.110023

    CrossRef   Google Scholar

    [45]

    Minic Z, Jouanin L. 2006. Plant glycoside hydrolases involved in cell wall polysaccharide degradation. Plant Physiology and Biochemistry 44:435−49

    doi: 10.1016/j.plaphy.2006.08.001

    CrossRef   Google Scholar

    [46]

    Goujon T, Minic Z, El Amrani A, Lerouxel O, Aletti E, et al. 2003. AtBXL1, a novel higher plant (Arabidopsis thaliana) putative beta-xylosidase gene, is involved in secondary cell wall metabolism and plant development. The Plant Journal 33:677−90

    doi: 10.1046/j.1365-313X.2003.01654.x

    CrossRef   Google Scholar

    [47]

    Chabi M, Goulas E, Leclercq CC, de Waele I, Rihouey C, et al. 2017. A cell wall proteome and targeted cell wall analyses provide novel information on hemicellulose metabolism in flax. Molecular & Cellular Proteomics 16:1634−51

    doi: 10.1074/mcp.M116.063727

    CrossRef   Google Scholar

    [48]

    Augur C, Stiefel V, Darvill A, Albersheim P, Puigdomenech P, et al. 1995. Molecular cloning and pattern of expression of an α-L-fucosidase gene from pea seedlings. Journal of Biological Chemistry 270:24839−43

    doi: 10.1074/jbc.270.42.24839

    CrossRef   Google Scholar

    [49]

    Hossain MA, Nakano R, Nakamura K, Hossain MT, Kimura Y. 2010. Molecular characterization of plant acidic α-mannosidase, a member of glycosylhydrolase family 38, involved in the turnover of N-glycans during tomato fruit ripening. The Journal of Biochemistry 148:603−16

    doi: 10.1093/jb/mvq094

    CrossRef   Google Scholar

    [50]

    Chrost B, Kolukisaoglu U, Schulz B, Krupinska K. 2007. An α-galactosidase with an essential function during leaf development. Planta 225:311−20

    doi: 10.1007/s00425-006-0350-9

    CrossRef   Google Scholar

    [51]

    Roitsch T, González MC. 2004. Function and regulation of plant invertases: sweet sensations. Trends in Plant Science 12:606−13

    doi: 10.1016/j.tplants.2004.10.009

    CrossRef   Google Scholar

    [52]

    Zhao Q, Yuan S, Wang X, Zhang Y, Zhu H, et al. 2008. Restoration of mature etiolated cucumber hypocotyl cell wall susceptibility to expansin by pretreatment with fungal pectinases and EGTA in vitro. Plant Physiology 147:1874−85

    doi: 10.1104/pp.108.116962

    CrossRef   Google Scholar

    [53]

    Xiao C, Somerville C, Anderson CT. 2014. POLYGALACTURONASE INVOLVED IN EXPANSION1 functions in cell elongation and flower development in Arabidopsis. The Plant Cell 26:1018−35

    doi: 10.1105/tpc.114.123968

    CrossRef   Google Scholar

    [54]

    Chen X, Zhang M, Wang M, Tan G, Zhang M, et al. 2018. The effects of mepiquat chloride on the lateral root initiation of cotton seedlings are associated with auxin and auxin-conjugate homeostasis. BMC Plant Biology 18:361−68

    doi: 10.1186/s12870-018-1599-4

    CrossRef   Google Scholar

    [55]

    Raggi S, Ferrarini A, Delledonne M, Dunand C, Ranocha P, et al. 2015. The Arabidopsis class III peroxidase AtPRX71 negatively regulates growth under physiological conditions and in response to cell wall damage. Plant Physiology 169:2513−25

    doi: 10.1104/pp.15.01464

    CrossRef   Google Scholar

    [56]

    Sun X, Bai R, Zhang Y, Wang Q, Fan X, et al. 2013. Laccase-catalyzed oxidative polymerization of phenolic compounds. Applied Biochemistry and Biotechnology 171:1673−80

    doi: 10.1007/s12010-013-0463-0

    CrossRef   Google Scholar

    [57]

    Daniel B, Pavkov-Keller T, Steiner B, Dordic A, Gutmann A, et al. 2015. Oxidation of monolignols by members of the berberine bridge enzyme family suggests a role in plant cell wall metabolism. Journal of Biological Chemistry 290:18770−81

    doi: 10.1074/jbc.M115.659631

    CrossRef   Google Scholar

    [58]

    Zhao Q, Nakashima J, Chen F, Yin Y, Fu C, et al. 2013. LACCASE is necessary and nonredundant with PEROXIDASE for lignin polymerization during vascular development in Arabidopsis. The Plant Cell 25:3976−3987

    doi: 10.1105/tpc.113.117770

    CrossRef   Google Scholar

    [59]

    Ben-Tov D, Abraham Y, Stav S, Thompson K, Loraine A, et al. 2015. COBRA-LIKE2, a member of the Glycosylphosphatidylinositol-Anchored COBRA-LIKE family, plays a role in cellulose deposition in Arabidopsis seed coat mucilage secretory cells. Plant Physiology 167:711−24

    doi: 10.1104/pp.114.240671

    CrossRef   Google Scholar

    [60]

    Wang X, Wang K, Yin G, Liu X, Liu M, et al. 2018. Pollen-expressed leucine-rich repeat extensins are essential for pollen germination and growth. Plant Physiology 176:1993−2006

    doi: 10.1104/pp.17.01241

    CrossRef   Google Scholar

    [61]

    Huang C, Zhang R, Gui G, Zhong Y, Li L. 2018. The receptor-like kinase AtVRLK1 regulates secondary cell wall thickening. Plant Physiology 177:671−83

    doi: 10.1104/pp.17.01279

    CrossRef   Google Scholar

    [62]

    MacMillan CP, Mansfield SD, Stachurski ZH, Evans R, Southerton SG. 2010. Fasciclin-like arabinogalactan proteins: specialization for stem biomechanics and cell wall architecture in Arabidopsis and Eucalyptus. The Plant Journal 62:689−703

    doi: 10.1111/j.1365-313X.2010.04181.x

    CrossRef   Google Scholar

    [63]

    Noguchi M, Fujiwara M, Sano R, Nakano Y, Fukao Y, et al. 2018. Proteomic analysis of xylem vessel cell differentiation in VND7-inducible tobacco BY-2 cells by two-dimensional gel electrophoresis. Plant Biotechnology 35:31−37

    doi: 10.5511/plantbiotechnology.18.0129a

    CrossRef   Google Scholar

    [64]

    Han J, Li H, Yin B, Zhang Y, Liu Y, et al. 2019. The papain-like cysteine protease CEP1 is involved in programmed cell death and secondary wall thickening during xylem development in Arabidopsis. Journal of Experimental Botany 1:205−15

    doi: 10.1093/jxb/ery356

    CrossRef   Google Scholar

    [65]

    Cao S, Guo M, Wang C, Xu W, Shi T, et al. 2019. Genome-wide characterization of aspartic protease (AP) gene family in Populus trichocarpa and identification of the potential PtAPs involved in wood formation. BMC Plant Biology 19:276

    doi: 10.1186/s12870-019-1865-0

    CrossRef   Google Scholar

    [66]

    Zhao Y, Song D, Sun J, Li L. 2013. Populus endo-beta-mannanase PtrMAN6 plays a role in coordinating cell wall remodeling with suppression of secondary wall thickening through generation of oligosaccharide signals. The Plant Journal 74:473−85

    doi: 10.1111/tpj.12137

    CrossRef   Google Scholar

    [67]

    Abedi T, Castilleux R, Nibbering P, Niittylä T. 2020. The spatio-temporal distribution of cell wall-associated glycoproteins during wood formation in Populus. Frontiers in Plant Science 11:611607

    doi: 10.3389/fpls.2020.611607

    CrossRef   Google Scholar

    [68]

    Liu J, Hai G, Wang C, Cao S, Xu W, et al. 2015. Comparative proteomic analysis of Populus trichocarpa early stem from primary to secondary growth. Journal of Proteomics 126:94−108

    doi: 10.1016/j.jprot.2015.05.032

    CrossRef   Google Scholar

    [69]

    Kalluri UC, Hurst GB, Lankford PK, Ranjan P, Pelletier DA. 2009. Shotgun proteome profile of Populus developing xylem. Proteomics 9:4871−80

    doi: 10.1002/pmic.200800854

    CrossRef   Google Scholar

  • Cite this article

    Cheng H, Liu J, Zhou M, Cheng Y. 2022. Lectin affinity-based glycoproteome analysis of the developing xylem in poplar. Forestry Research 2:13 doi: 10.48130/FR-2022-0013
    Cheng H, Liu J, Zhou M, Cheng Y. 2022. Lectin affinity-based glycoproteome analysis of the developing xylem in poplar. Forestry Research 2:13 doi: 10.48130/FR-2022-0013

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ARTICLE   Open Access    

Lectin affinity-based glycoproteome analysis of the developing xylem in poplar

Forestry Research  2 Article number: 13  (2022)  |  Cite this article

Abstract: Glycosylation is a significant post-translational modification of proteins, and some glycoproteins serve as players in plant cell wall synthesis and modification. Wood is a highly developed cell wall organization, and protein glycosylation as a regulatory mechanism may be involved in wood formation. Here, a lectin affinity-based glycoproteome was performed in stem developing xylem of poplar. After enrichment, trypsin digestion, LC-MS/MS analysis and peptide identification, we identified 154 glycoproteins from poplar developing xylem, which were classified into nine functional groups mainly including protein acting on carbohydrates, oxido-reductase, proteases, and protein kinases. Further, N- and/or O-glycosylation sites of the identified proteins were analyzed using bioinformatic tools, and deglycosylation experiments in the selected PtSOD and PtHAD proteins verified the reliability of the identified glycoproteins. Analysis of protein subcellular localization showed that a total of 63% of the identified glycoproteins were extracellular proteins or located in the plasma membrane. Poplar eFP and RT-qPCR data showed that a number of the genes encoding these glycoproteins such as laccase, peroxidase and cysteine protease, have highly preferential expression profiles in the developing xylem. Together with previously published research, most identified glycoproteins could be involved in wood cell wall synthesis and modification in poplar. Thus, our study provides some potential wood formation-related glycoproteins to be determined during tree stem development.

    • Plant cell walls are complex and dynamic structures mostly composed of diverse polysaccharides and cell wall proteins (CWPs)[1]. Plant primary cell walls (PCWs) are dynamically modified, reorganized, and loosened to allow for wall relaxation and cell expansion[2]. Polysaccharides of plant PCWs mainly contain pectin, hemicelluloses and cellulose. In addition, some cells of certain plant tissues develop thick secondary cell walls (SCWs). These specialized cells form SCWs inside the PCWs upon completion of cell expansion, which provide mechanical strength and water-conducting capabilities[3,4]. CWPs play key roles in cell wall formation and modification and adaptation to the environment[5, 6]. Wood is a highly developed cell wall organization, of which the fibers and vessels develop thick SCWs. Some glycosylated proteins have been proposed to function in wood formation via genetic evidence[7].

      Glycosylation is an important post-translational modification of proteins, affecting many protein functions and cellular activities. It is estimated that 50% of all proteins are glycosylated based on the fact that two-thirds of entries in the Swiss-Prot database were found to contain at least one N-glycosylation consensus (NXS/T)[8,9]. There are two main types of protein glycosylation: N-glycosylation and O-glycosylation in plants[10]. N-linked glycosylation is a common feature of plant proteins, particularly the CWPs that fulfill important roles in cell wall modification, sugar metabolism, signaling, and defense[11]. In addition, a structural role of hydroxyproline-rich O-glycoprotein extensins (EXTs) has been clearly assigned in maintaining the growing cell walls[12]. Therefore, it is necessary to identify the glycoproteins of tree stem xylem for the understanding of wood formation.

      Lectin affinity chromatography (LAC) is a technique that uses different immobilized lectins to reversibly bind to specific sugar residues of the glycoproteins. Because of its specificity and rapidity, LAC has become a common tool for affinity purification of the glycoproteins[13]. Coupled with mass spectrometric (MS) technologies, a growing number of glycoproteome have been performed in different species. Over two decades, some glycoproteins have been identified as biomarkers or indicators of disease[1416]. In plants, glycoproteome has been performed in tomato, Arabidopsis, rice, and cotton[1722]. These studies indicate that the CWPs are a large number of glycoproteins. However, little is known about the identification of the glycosylated proteins in stem xylem in trees.

      Poplar is a fast-growing tree with a large biomass accumulation in terrestrial ecosystems, extensively used in the pulp and paper industry, reforestation of land and bioenergy feedstocks. The objective of this study was to perform multiple lectin affinity-based glycoproteome of stem developing xylem in poplar. As a result, we identified 154 glycoproteins from the developing xylem of poplar. These glycoproteins were divided into nine functional groups, and 63% were located in the cell wall and the plasma membrane. In combination with the previously published research on functional reports, some glycoproteins are proposed to be involved in cell wall synthesis modification during wood formation. However, a large number of the genes encoding the identified glycoproteins are not still elucidated in function. Our study provides a significant foundation for further investigations into the potential roles of the identified glycoproteins in wood formation.

    • Total soluble proteins were extracted from developing xylem tissues of three-year-old poplar trees. The experiment was performed three times, and all extracts were mixed into total crude proteins. To enrich more numerous glycoproteins, we designed an affinity purification strategy, in which four kinds of plant lectins were integrated to enrich different types of glycoproteins (Fig. 1a). Concanavalin A (ConA) and wheat germ agglutinin (WGA) bind to the glycoproteins with mannosyl and glucosyl residues and N-acetyl-glucosamine and sialic acid, respectively[2327]. Jacalin specifically binds galactosyl (β-1,3) N-acetylgalactosamine of O-linked glycoproteins, while peanut (PNA) can specifically recognize β-galactose[28, 29]. After total crude proteins flowed through the ConA-WGA-Jacalin-PNA affinity column, the captured proteins were eluted with the Elution Buffer containing 500 mM methyl D-glucopyranoside for Con A, 500 mM N-Acetyl-D-glucosamine for WGA, 500 mM N-Acetyl-D-galactosamine for PNA and 500 mM galactose for Jacalin, respectively. Afterwards, the eluted proteins were analyzed using Coomassie brilliant blue (CBB) or glycoprotein-specific (GS) staining on SDS-PAGE gels. The result showed that the bands of these purified proteins were similar on the CBB and GS staining gels (Fig. 1b), suggesting that these proteins purified using plant lectin affinity could be glycoproteins.

      Figure 1. 

      The workflow of glycoprotein enrichment and identification in poplar developing xylem. (a) Enrichment and recognition of the glycoproteins. Crude proteins were extracted from poplar developing xylem, and the glycoproteins were bound to ConA, PNA, WGA and jacalin lectin affinity columns. The eluted glycoproteins were digested by trypsin and the peptide segments were further recognized through mass spectrum analysis. (b) Validation of the eluted glycoproteins. The glycoproteins separated on sodium dodecyl sulfate-polyacrylamide gel electrophoresis (SDS-PAGE) gels were stained using Coomassie brilliant blue (CBB) staining and Pierce Glycoprotein Staining kit (detecting sugar moieties of the glycoproteins), respectively.

    • These enriched proteins were digested with the trypsins and the peptide mixtures were analyzed by LC-MS/MS. Based on the annotation of the Populus protein database, the peptides were further identified and assembled into protein identifications (Supplemental Table S1). A total of 154 proteins were identified by MS and database retrieval (Table 1). Among them, 36 proteins were matched with a peptide sequence, and the remaining coincided with more than two peptides. In addition, the peptide number, the score, and coverage rate for each identified protein are shown in Table 1.

      Table 1.  Identification of the proteins enriched by lectin affinity from poplar developing xylem.

      Protein nameGi numberPhytozome
      accession no.
      PeptidesScoreCov %N-/O-linked sites
      Proteins acting on polysaccharides (47)
      GH3 Beta-xylosidase222845455Potri.001G206800943216Y/Y
      GH3 Beta-xylosidase222846715Potri.001G089100618810Y/Y
      GH3 Beta-xylosidase222861083Potri.014G122200628511Y/N
      GH3 Beta-xylosidase222844484Potri.002G1972001761Y/N
      GH3 Beta-glucosidase222852772Potri.007G1143001481Y/Y
      GH5 Mannan endo-1,4-beta-mannosidase222855167Potri.006G1099002866Y/Y
      GH16 Xyloglucan endo-transglycosylase118481141Potri.003G159700648326Y/N
      GH16 Xyloglucan endo-transglycosylase124109187Potri.001G071000641428Y/N
      GH16 Xyloglucan endo-transglycosylase222857312Potri.013G00570022039Y/Y
      GH17 Glucan endo-1,3-beta-glucosidase222850378Potri.009G0765003868Y/Y
      GH17 Glucan endo-1,3-beta-glucosidase222858075Potri.013G05970012133339Y/N
      GH17 Glucan endo-1,3-beta-glucosidase222862285Potri.019G03290010113129Y/Y
      GH17 Glucan endo-1,3-beta-glucosidase222873604Potri.018G150400767120Y/Y
      GH 27 Alpha-galactosidase222862356Potri.019G0567001642Y/Y
      GH28 polygalacturonase-like222843096Potri.002G162400544620Y/N
      GH28 polygalacturonase222863392Potri.010G00550031679Y/N
      GH28 polygalacturonase222838571Potri.008G211500316010Y/N
      GH28 polygalacturonase222861707Potri.014G11210021347Y/N
      GH28 polygalacturonase222837934Potri.003G13170011253Y/Y
      GH28 polygalacturonase222860156Potri.011G1590002844Y/N
      GH28 polygalacturonase222843280Potri.002G1869002606Y/N
      GH28 polygalacturonase222867323Potri.016G0512002534Y/Y
      GH31 Glucan 1,3-alpha-glucosidase222853440Potri.007G1000001028713Y/N
      GH31 Glucan 1,3-alpha-glucosidase222856503Potri.005G0690004976Y/Y
      GH32 beta-fructofuranosidase222868827Potri.015G1271002465Y/Y
      GH38 alpha-mannosidase222843486Potri.002G2382001485919Y/N
      GH38 alpha-mannosidase222861848Potri.014G1436001052115Y/N
      GH38 alpha-mannosidase222859443Potri.012G10650053747Y/Y
      GH38 alpha-mannosidase222859442Potri.012G1064001507N/Y
      GH51 Alpha-L-arabinofuranosidase222853916Potri.006G02990022695Y/Y
      GH127 Beta-L-arabinofuranosidase222845043Potri.001G01820051547Y/Y
      Alpha-fucosidase222863630Potri.010G047900315111Y/N
      Xylose isomerase222865922Potri.T0939001399837N/N
      Pectinesterase222861105Potri.014G12700022856Y/Y
      Pectinesterase222844452Potri.002G20260012633Y/Y
      Pectin lyase118488323Potri.003G1759002716Y/Y
      Acetylglucosaminyl transferase222845138Potri.001G0681002487Y/N
      Glycopeptide N-glycosidase222859921Potri.011G109700726811Y/Y
      Glucosidase II beta subunit222872983Potri.006G0616001744Y/N
      Fasciclin-like arabinogalactan protein222861509Potri.014G0717002997Y/Y
      Fasciclin-like arabinogalactan protein47717933Potri.015G12940029610Y/Y
      Fasciclin-like arabinogalactan protein118482997Potri.012G12790028410Y/Y
      Non-classical arabinogalactan protein118482413Potri.002G09310018210N/Y
      Non-classical arabinogalactan protein118481929Potri.004G0447001796Y/Y
      COBRA-like protein118485798Potri.010G001100523212Y/Y
      COBRA-like protein118488472Potri.015G060100414511Y/N
      COBRA-like protein118482010Potri.015G0600001502Y/Y
      Oxido-reductases (43)
      Multicopper oxidase, SKU5-like protein222871142Potri.001G12030013109736Y/Y
      Multicopper oxidase, SKU5-like protein222840952Potri.003G1127001294434Y/Y
      Multicopper oxidase, SKS1-like protein222859558Potri.012G126400523214Y/Y
      Multicopper oxidase, SKS1-like protein222868828Potri.015G12720031678Y/Y
      Multicopper oxidase, SKS4-like protein118487967Potri.004G01010011822Y/N
      Multicopper oxidase222857214Potri.005G24770010103130Y/N
      Multicopper oxidase222842395Potri.002G0137001499727Y/N
      Multicopper oxidase222853065Potri.007G0383001084429Y/Y
      Multicopper oxidase118488761Potri.001G219300952626Y/Y
      Multicopper oxidase222849177Potri.004G1805001247026Y/N
      Multicopper oxidase222843342Potri.002G22760021946Y/Y
      Multicopper oxidase222855045Potri.006G08750041429Y/Y
      Multicopper oxidase222844867Potri.001G00060011092Y/N
      Multicopper oxidase222849246Potri.009G1597004569Y/Y
      Laccase222852007Potri.010G1835006120116Y/Y
      Laccase222852006Potri.008G0737009111323Y/Y
      Laccase222864170Potri.010G1835005100613Y/Y
      Laccase222864171Potri.010G183600563913Y/N
      Laccase222854184Potri.006G0969003957Y/Y
      Laccase222849832Potri.009G0345003797Y/N
      Laccase222850532Potri.009G0425001652Y/Y
      Laccase222846554Potri.001G0546001643Y/N
      Laccase3805960Potri.010G1931001462Y/Y
      peroxidase115345276Potri.003G214700551421Y/N
      Peroxidase118487605Potri.005G19560035512Y/Y
      FAD-Berberine enzyme 545aa222860154Potri.011G158700732315Y/Y
      FAD-Berberine enzyme222846288Potri.001G462800529810Y/N
      FAD-Berberine enzyme222833370Potri.006G12890032235Y/N
      FAD-Berberine enzyme222872123Potri.011G15960021753Y/N
      FAD-Berberine enzyme222846286Potri.001G46260021752Y/Y
      FAD-Berberine enzyme222858409Potri.012G03470021753Y/N
      FAD-Berberine enzyme222834675Potri.011G16030021735Y/N
      FAD-Berberine enzyme222872175Potri.011G1615002894Y/N
      FAD-Berberine enzyme222846302Potri.001G4647001832Y/Y
      FAD-Berberine enzyme222872118Potri.011G1614001802Y/N
      FAD-Berberine enzyme222847838Potri.001G4701001802N/Y
      FAD-Berberine enzyme222860155Potri.011G1588001802Y/Y
      Protein disulfide isomerase222842706Potri.002G08210023311650Y/Y
      Protein disulfide isomerase118485031Potri.009G0136001464829Y/N
      Protein disulfide isomerase222846968Potri.001G1835002555Y/Y
      Chitinase-like118481023Potri.010G1416002659Y/Y
      Cytochrome P450222868639Potri.015G085800156N/Y
      Cu/Zn superoxide dismutase4102861Potri.005G04440016310Y/Y
      Proteases (26)
      Aspartyl protease118482048Potri.001G028200524415Y/Y
      Aspartyl protease 439aa222847473Potri.001G3062001903Y/N
      Serine carboxypeptidase222849960Potri.009G00310021297Y/N
      Serine carboxypeptidase222850469Potri.009G0559004888Y/Y
      Serine carboxypeptidase S28222854432Potri.006G207900349910Y/Y
      Serine carboxypeptidase S28222836225Potri.007G015400642814Y/N
      Serine carboxypeptidase S28118487876Potri.007G015300541813Y/N
      Serine carboxypeptidase S28222853228Potri.007G008100422412Y/N
      Subtilase family protein222860749Potri.011G15540042697Y/N
      Subtilase family protein222875305Potri.001G44030052439Y/N
      Subtilase family protein222848475Potri.004G1739001811Y/Y
      Subtilase family protein222854095Potri.006G0762003765Y/Y
      Peptidase M20/M25/M40222863686Potri.010G07610011131533Y/N
      Peptidase M20/M25/M40118486005Potri.009G1693001291241N/Y
      Peptidase M20/M25/M40222837797Potri.004G208100452612N/Y
      Peptidase M20/M25/M40222842722Potri.002G085400520516Y/Y
      Peptidase M20/M25/M40222840651Potri.003G04520021315Y/N
      Peptidase M28 family222855209Potri.006G153300417810Y/N
      Cysteine proteinase222856445Potri.005G256000432016Y/N
      Cysteine proteinase222843627Potri.002G005700422321Y/N
      Cysteine proteinase222837653Potri.004G207600321212Y/N
      Cysteine proteinase118482340Potri.006G1417001593Y/N
      Proteinase inhibitor118485178Potri.013G11280035639N/Y
      Proteinase inhibitor118482991Potri.019G08330025120N/Y
      Amidohydrolase family222849678Potri.009G067700512212Y/Y
      Amidohydrolase family222847228Potri.001G27340045911Y/Y
      Protein kinase (8)
      LRR protein kinase222868332Potri.016G14410044807Y/Y
      LRR protein kinase222853199Potri.007G01470032314Y/Y
      LRR protein kinase222863806Potri.010G10300041337Y/Y
      LRR protein kinase222854082Potri.006G07390041106Y/Y
      LRR protein kinase222866571Potri.018G1074002982Y/Y
      LRR protein kinase222852307Potri.008G1405001451Y/Y
      LRR protein kinase222856570Potri.005G0830003453Y/Y
      LRR protein kinase222852450Potri.008G1769001472Y/N
      Proteins with interacting/binding domains (9)
      Leucine-rich repeat protein190897432Potri.009G064300966342Y/N
      Leucine-rich repeat protein222853264Potri.007G001000534812Y/N
      Leucine-rich repeat protein222854117Potri.018G15100021324Y/Y
      Leucine-rich repeat protein222846498Potri.001G0175001462Y/N
      HSP70 family protein222867185Potri.016G0198001399824Y/N
      HSP70 family protein222854802Potri.006G0221001493920Y/Y
      HSP70 family protein222841104Potri.003G1436001622N/Y
      Calreticulin family protein222871704Potri.005G0151001183434Y/Y
      Calreticulin family protein118485765Potri.013G0095001065338Y/Y
      Proteins related to lipid metabolism(6)
      Lipase/lipooxygenase118483838Potri.005G076900528740Y/N
      Purple acid phosphatase222865126Potri.010G15840031197Y/N
      Purple acid phosphatase222851161Potri.008G09600031096Y/N
      HAD superfamily protein222839124Potri.004G2329002639Y/N
      Type I phosphodiesterase222855200Potri.006G15090021607Y/Y
      Type I phosphodiesterase222872448Potri.018G0666001793Y/Y
      Amino acid metabolism (4)
      Amidase family protein222869309Potri.015G109400418012Y/Y
      Methionine synthase222850043Potri.009G1528002564Y/Y
      Methionine synthase118483919Potri.013G0618002564Y/Y
      Cysteine desulfurase222850426Potri.009G066000155Y/Y
      Miscellaneous proteins (6)
      Germin-like protein 10118482567Potri.002G184900462319Y/Y
      Cyclase family protein222850275Potri.009G097300219213Y/N
      Cyclase family protein118488222Potri.001G30160049518Y/Y
      Kelch repeat protein222845394Potri.001G178500173Y/N
      Nucleosome assembly protein222854259Potri.006G1486001563Y/N
      Cupin domain protein222858047Potri.013G0516001557Y/N
      Unknown function (5)
      Unknown protein (Duf642)118486479Potri.011G087500412416Y/Y
      Unknown protein (Duf568)118487890Potri.002G2492001545Y/Y
      Unknown protein (Duf2828)222850304Potri.009G091400157Y/Y
      Unknown protein222846617Potri.001G0688001806Y/Y
      Unknown protein118486279Potri.019G0769002685Y/Y
    • N- and/or O-glycosylation sites of the identified proteins were analyzed by NetNGlyc, NetOGlyc and GlycoEP tools, and the results are shown in Supplemental Table S2. Of all 154 proteins, 153 proteins contained N- and/or O-glycosylation sites and only one did not contain the glycosylation sites. Among them, 143 proteins had the N-glycosylation sites; 56 proteins contained 1−3 N-glycosylation sites, and 41 and 46 proteins with 4−6 and 7~ N-glycosylation sites, respectively (Supplemental Fig. S1a). However, O-glycosylation of protein and its types are more complex in plants and the current tools are difficult to accurately predict O-glycosylation sites in plant proteins. The analysis suggested that the 56 proteins might contain 1−3 O-glycosylation sites, and 17 and 19 proteins with 4−6 and 7~ O-glycosylation sites, respectively (Supplemental Fig. S1b).

      To confirm whether the N/O-glycosylation prediction of the identified proteins is reliable, we selected two proteins with less glycosylation sites predicted by the tools for verification. A selected superoxide dismutase (PtSOD) contained two N- and one O-glycosylation sites, while the HAD (PtHAD) only contained two N- glycosylation sites (Supplemental Fig. S1). We first generated PtSOD- and PtHAD-transgenic Arabidopsis plants, respectively. RT-PCR analysis showed that the three transgenic lines overexpressed PtSOD and PtHAD genes, respectively (Fig. 2a, b). Because of the expressed PtSOD or PtHAD with the fusion of FLAG tag, we further detected PtSOD or PtHAD protein level in transgenic lines by Western blot using anti-FLAG antibody. The data showed high PtSOD or PtHAD protein levels in transgenic lines (Fig. 2c, d). In addition, Western blot analysis revealed that the molecular weights (MWs) of the expressed PtSOD and PtHAD proteins were 38 and 37 kDa, respectively (Fig. 2d). The MWs are much bigger than those calculated based on the amino acids of PtSOD or PtHAD proteins, suggesting that protein modification might occur. Next, protein extracts from the PtSOD- or PtHAD-transgenic plants were digested by O-glycosidase and PNGase F, respectively. Western blot analysis showed that the digestion of O-glycosidase or PNGase F accelerated the migration rate of PtSOD on SDS-PAGE gels (Fig. 2e), indicating that the PtSOD protein is both N- and O-glycosylated. The migration of PtHAD digested by PNGase F was accelerated on the SDS-PAGE gel, while that of PtHAD digested by O-glycosidase did not change (Fig. 2f). This suggests that PtHAD protein has N-glycosylation sites and no O-glycosylation sites. Taken together, this data indicates that analysis of N- and/or O-glycosylation sites of the identified proteins by the bioinformatic tools is reliable.

      Figure 2. 

      Verification of N- and/or O-glycosylation in PtSOD and HAD proteins. (a), (b) Analysis of PtSOD or PtHAD gene expression by RT-PCR in their transgenic Arabidopsis plants. AtActin2 serves as a control gene. (c), (d) Western blot analysis of PtSOD1-Flag and HAD-Flag protein levels in corresponding transgenic plants usig anti-FLAG antibody. Coomassie brilliant-stained Rubsico large subunit proteins indicate the loading amount of each sample on SDS-PAGE gels as control. (e), (f) Migration analysis of PtSOD and PtHAD proteins on SDS-PAGE gels. Protein extracts with/without the digestion of PNGase F (N) or O-glycosidase (O) were separated on 10% SDS-PAGE gels and followed by immunoblotting with anti-FLAG antibody.

    • The identified glycoproteins were classified into nine functional groups based on gene annotations and/or known domains (Fig. 3a), which include protein acting on carbohydrates (30.5%), oxido-reductase (27.9%), proteases (16.9%), protein kinases (5.8%), proteins with interaction domain (5.8%), lipid metabolism (3.9%) and amino acid metabolism (2.6%). The group of proteins acting on carbohydrates mainly includes beta-xylosidase (GH3), xyloglucan endo-transglycosylase (GH16), glucan endo-1,3-beta-glucosidase (GH17), polygalacturonase (GH28), alpha-L-arabinofuranosidase (GH51) and fasciclin-like arabinogalactan protein (FLA). Oxido-reductase cluster contained multicopper oxidases, laccases, FAD-berberine enzymes and peroxidases. Protease is the third largest cluster of the identified glycoproteins, including aspartyl proteases, serine carboxypeptidases, subtilases, peptidases, cysteine proteinases. LRR protein kinases and leucine-rich repeat proteins were also important functional groups of the identified glycoproteins.

      Figure 3. 

      Functional classification and localization of the identified glycoproteins. (a) Functional classification of glycoproteins identified from Populus developing xylem. Please refer to Supplemental Table S1 for detailed analysis. (b) Subcellular localization of the identified glycoproteins predicted by Plant-mPLoc, ngLOC, ProtComp9.0, WoLF PSORT and YLOC.

      Subcellular localization of the identified glycoproteins was analyzed using five bioinformatic tools including Plant-mPLoc, ngLOC, ProtComp 9.0, WoLF PSORT and YLOC. As shown in Fig. 3b, the 38.3% of glycoproteins identified were extracellular proteins (cell wall protein), and the 24.7 and 18.2% of the identified glycoproteins were located in the plasma membrane and chloroplast, respectively. In addition, a small proportion of glycoproteins were located in cytoplasm (6.5%), endoplasmic reticulum (4.5%), vacuole (3.2%), or nucleus (1.3%). Most glycoproteins were secreted proteins, which contain the signal sequences (Table 1).

    • To analyze the potential roles of these glycoproteins in developing xylem, the digital expression profiles of the genes encoding the glycoproteins were collected from poplar electronic fluorescent pictograph (eFP) browsers (Supplemental Fig. S2). Of all 154 encoding genes, the 34 genes have no corresponding data in the eFP database. The eFP data showed that profiles of 52 gene expression were high in developing xylem, and transcription levels of 21 genes were high in roots. In addition, 21 and 14 genes were highly expressed in female and male catkins, and only 11 genes in young leaves.

      To test the eFP data above, we further examined expression profiles of the 52 genes using RT-qPCR. The results showed that only 25 genes were highly expressed and their expression profiles were more specific in xylem (Fig. 4). These xylem-expressed genes encode laccase, FLA, peroxidase, methionine synthase, and cysteine protease. Laccase, peroxidase and FLA play a key role in secondary cell wall (SCW) formation, and cysteine protease is involved in the process of programmed cell death (PCD) and SCW thickening[3033]. These expression profiles suggest that many glycoproteins identified should be of importance for wood cell wall synthesis and modification in poplar.

      Figure 4. 

      Expression profiles of 25 genes encoding the glycoproteins in different poplar tissues using RT-qPCR analysis. Different tissues included phloem (PH), xylem (XY), young leaf (YL) and mature leaf (OL). The expression of PtActin2 was used as an internal control. Data are means ± standard error of three technical replicate results.

    • Lectin affinity enrichment is based on the specific binding interaction between lectins and unique glycan structures attached to glycoproteins. A variety of lectins can selectively bind to oligosaccharides, and enrich different types of the glycans of glycoproteins[3436]. To date, most of the work using LAC for targeted glycoprotein enrichment in plants has focused on N-glycosylation, and binding specificity of the lectin for O-glycosylation is less satisfactory. To capture O-glycoproteins as far as possible, we made serial columns of concanavalin A and jacelin in tandem to isolate O-glycoproteins from the developing xylem in poplar. As a result, many O-glycoproteins were identified in the present study. In addition, some studies rely on two-dimensional electrophoresis (2-DE), which has limitations when used to separate and identify certain types of proteins, such as those that are membrane-associated, less abundant, or have extreme pIs or MWs[37]. Overall, our strategy of this study is a relatively unbiased technology that can more comprehensively identify glycoproteins.

      Protein glycosylation occurs in the proteins in the secretory pathway, so a convenient indicator for evaluating the identified glycoproteins is to use software packages searching signal peptides. Up to 89% of the glycoproteins identified from poplar developing xylem were suggested to have signal peptides (Supplemental Table S3). This is much higher than other plant extracellular proteomics, based on the way that LAC is not used[38, 39]. Proteins with signal peptides entering the secretory pathway do not necessarily target the cell wall, but may remain on the endomembrane system, such as endoplasmic reticulum, Golgi apparatus, and other organelles, including vacuoles and chloroplasts. We analyzed the localization of identified glycoproteins using the software subcellular localization website. According to predictive analysis (Fig. 3), the proportion of proteins (38.3%) was located in cell wall, while most of the remaining proteins might be in the plasma membrane (24.7%). It provides a hint that xylem synthesis and modification might be mediated by a number of the glycoproteins in the cell wall and/or plasma membrane.

      In this study, most of the identified glycoproteins clustered a functional group of protein acting on carbohydrates (Table 1), suggesting their involvement in wood formation in poplar. Wood formation undergoes a genetically controlled xylogenesis process, which includes cambia cell division, cell differentiation and expansion, SCW synthesis and PCD. As shown in Fig. 5, a number of the glycoproteins identified are involved in wood formation. The PCWs of the growing xylem cells are mainly composed of pectins (such as rhamnogalacturons and homogalacturonans), cellulose, and hemicellulose (xylogucan and mannan). Here we have identified 33 GHs in poplar secondary xylem (Table 1), which belong to 11 types of glycoside hydrolases (GHs). GHs are important cell wall polysaccharide-modified enzymes that participate in the division and expansion of plant cells and their substrates are pectin and hemicellulose[4046]. GH16, GH31 and GH51 may act on modification of xylans in cell wall, and GH28 can hydrolyze pectin[47, 48]. GH38 may be involved in the modification of the mannose and GH32 as the invertase functions in carbohydrate allocation[4951]. GH3 and GH5 have broader substrates. It is reported that they are involved in modification and hydrolysis of hemicellulose, as well as lignification and secondary growth[41,45]. In addition to GHs, pectin modifying enzymes, pectin esterase and pectin lyase, affect the plasticity and fluidity of cell walls and play a decisive role in the final shape and size of cells[52, 53]. In addition, peptidase and serine carboxypeptidase affect cell expansion, but the mechanism is unknown[54].

      Figure 5. 

      Identified glycoproteins are proposed to be involved in wood formation that includes cambia cell division, cell differentiation and expansion, SCW synthesis and PCD.

      When xylem cells reach the final size and shape, a thicker SCW is produced continuously. In this study, dozens of glycoproteins including laccase, peroxidase and methionine synthase, are specifically expressed in secondary xylem at the transcriptional level, suggested by the RT-PCR analysis (Fig. 4). Lignin is one of main components of secondary xylem (wood) in trees. In this study, 38 glycoproteins identified might be involved in lignin biosynthesis, which include BBE, laccase and peroxidase (Table 1). BBE-like proteins, as monolignol oxidoreductases, may participate in the oxidation of lignin required for polymerization processes, while laccase and peroxidase are responsible for the polymerization of the lignins[5558]. Other glycoproteins, such as FLAs, COBRA-like protein and LRR protein kinase participate in cell wall thickening, for example, cellulose deposition in the SCW is implemented by the COBRA-like protein[5962]. Additionally, we also identified several types of proteases such aspartyl protease, serine carboxypeptidase and cysteine proteinase, which are involed in cell death of xylem fibers and vessels[6365]. Overall, these glycoproteins could be served or proposed as the players in wood formation in poplar. Recently, poplar mannanase PtrMAN6 with the N-glycosylation plays a role in coordinating cell wall remodeling with suppression of secondary wall thickening[66]. Another study reveals that glycan synthesis levels of the AGP proteins change in wood formation[67]. Thus, it is inferred that protein glycosylation as a regulatory way should be involved in wood formation. We are now attempting to detect the roles of glycosylation sites of the glycoprotein in this process through genetic studies.

    • In this study, we used Populus simonii × P. nigra as plant material. Three-year-old trees grown in a forest farm at Northeast Forestry University (Harbin, China, longitude 127°18′0″; latitude 45°2′20″) were selected for correcting developing xylem tissues. Arabidopsis thaliana (Columbia ecotype) plants were grown in the greenhouse (16 h light/8 h dark) at a light intensity of 120 μmol photons m− 2 s− 1 at 22 °C. The CDS of PtHAD or PtSOD was amplified using the xylem cDNAs as a template, and the DNA fragements were constructed into pGWB11 vector with the fusion of FLAG tag for overexpression of PtHAD or PtSOD. After DNA sequencing, the resultant constructs were introduced into A. tumefaciens strain GV3101 for Arabidopsis transformation using the floral-dip method.

    • Developing xylem tissue was corrected from one young tree on June 15, and we repeated it three times. After the bark was peeled, the xylem tissue was quickly frozen with liquid nitrogen and developing xylem cells were scraped from the outside to the inside. Three corrected sample materials were mixed and ground into a powder. Approximately 50 g powder was saturated into 120 ml protein extraction buffer (50 mM Tris-HCl, pH 7.4, 150 mM NaCl, 1 mM MgCl2, 1 mM CaCl2, 1 mM MnCl2). After the mixture was shaken on ice for 30 min, the homogenate was centrifuged at 40,000 g for 30 min at 4 °C. The supernatant was used for enrichment of glycoproteins using lectin affinity chromatography.

    • The crude protein was used for lectin affinity chromatography. Four plant lectins, concanavalin A (Con A), Triticum vulgaris (WGA), peanut (PNA) and jacalin, are used to specifically enrich different sugar residues of various glycoproteins. We added 0.5 ml ConA-Sepharose 4B (27700, Supelco), WGA-Agarose (L1882, Sigma-Aldrich), PNA-Agarose (AL-1073, Vector Laboratories), and Jacalin-Sepharose (6561, Biovision) to the columns, respectively. After 5 ml binding buffer (20 mM Tris-HCl, pH 7.4, 150 mM NaCl, 1 mM MgCl2, 1 mM CaCl2, 1 mM MnCl2) was added to clean the column, the crude protein in the supernatant was successively passed through the four columns. Then, each column was washed with 50 ml of binding buffer to remove the unbound proteins. After discarding the binding buffer, the bound glycoproteins were respectively eluted from the four columns with 0.5 ml of elution buffer (20 mM Tris-HCL, pH 7.4, 300 mM NaCl, 1 mM MgCl2, 1 mM CaCl2, 1 mM MnCl2) containing 500 mM methyl α-D-glucopyranoside (M9376, Sigma-Aldrich) for ConA, 500 mM N-Acetyl-D-glucosamine (A8625, Sigma-Aldrich) for WGA, 500 mM N-Acetyl-D-galactosamine (A2795, Sigma-Aldrich) for PNA, or 500 mM galactose (G0750, Sigma-Aldrich) for jacalin. The eluted fractions of the sample were pooled and filtered through Microcon YM-10 centrifugal filter devices to a volume of ~0.2 ml. The sample was used for protein identification.

    • The sample was digested with porcine trypsin (Promega) at 37 °C overnight, as described previously[68]. After protein digestion of trypsin, the short peptides obtained were performed for LC-MS/MS analysis, as described previously[69]. The MS/MS spectra were searched against the NCBInr protein databases and phytozome databases using Mascot software (Matrix Sciences, UK). The search criteria included a mass accuracy of 0.3 Da, with one missed cleavage allowed, carbamidomethylation of cysteine as a fixed modification, and oxidation of methionine as a variable modification. A highly confident protein identification met the following criteria: (a) top hits in the database searching report; (b) a probability-based MOWSE score of greater than 55 (p > 0.01); (c) more than two peptides matched with a nearly complete y-ion series and complementary b-ion series present. Based on the MASCOT probability analysis, the significant hits were accepted as the identification of each protein.

    • Tissue-specific expression data were downloaded from poplar eFP browser. The heat map was generated by Heat map illustrator (HemI) with the default settings. Total RNA was extracted from plant tissues using plant RNA Extraction Kit (Bio-Flux, China). For each sample, 1 μg of total RNA was reverse-transcribed into total cDNAs using the PrimeScript RT reagent Kit (TaKaRa, China). The qRT-PCR experiments were performed with SYBR Green (TaKaRa, China) in the ABI Prism 7500 system (Applied Biosystems, USA) according to the manufacturer's instructions. The reaction mixture (20 μl) consisted of 10 μl 2× TB Green Premix Ex Taq II (Tli RNaseH Plus), 0.8 μl of each gene-specific primer, 0.4 μl ROX Reference Dye II, 1 μl cDNA template and 7 μl distilled deionized H2O. The PCR parameters as follows: 95 °C for 30 s; 40 cycles of 95 °C for 5 s, 60 °C for 15 s, 72 °C for 30 s. PtActin2 was used as an internal control and the comparative Ct (2−ΔCᴛ) method was used to calculate gene expression levels. Three technical replicates were carried out for each sample.

    • Transgenic plant materials were ground in liquid nitrogen and homogenized in protein extraction buffer (50 mM Tris-HCl, 200 mM NaCl, 2% SDS, 5 mM DTT, pH 8.0). The suspensions were centrifuged at 18,000 g for 5 min, and the supernatant (protein extract) was used for protein deglycosylation with/without PNGase F and/or O-glycosidase (New England Biolabs, UK). The treated protein extract was resolved in 10% SDS-PAGE gel and transferred into a PVDF membrane. Western blotting was performed using anti-FLAG antibody (Abmart, China) and Pierce ECL chemiluminescent Substrate (Thermo, USA).

    • TProtein sublocalization was predicted based on five bioinformatics tools including Plant-mPLoc, ngLOC, ProtComp 9.0, WoLF PSORT and YLOC. Signal peptides were analyzed using the SignalP 4.1 Server (www.cbs.dtu.dk/services/SignalP). Glycosylation sites were analyzed using three tools including NetNGlyc 1.0, NetOGlyc 4.0 and GlycoEP.

      • The research was supported by the Fundamental Research Funds for the Central Universities (2572021DT01), the National Natural Science Foundation of China (31770637) and Zhejiang Provincial Natural Science Foundation of China (No. LY20C160010).

      • The authors declare that they have no conflict of interest.

      • # These authors contributed equally: Hao Cheng, Jinwen Liu

      • Supplemental Table S1 The single spot in 2D gels was identified to contain more than a protein.
      • Supplemental Table S2 The subcellular localization prediction of the proteins identified in Populus developing xylem.
      • Supplemental Table S3 The glycosylation sites prediction of the expressed proteins identified in developing xylem in Populus
      • Supplemental Fig S1 Prediction and analysis of the number of glycosylation sites in glycoproteins. Glycosylation site prediction of identified proteins with three bioinformatic softwares. (1. NetNGlyc 1.0; 2. NetOGlyc 4.0; 3. GlycoEP). Refer to the supplemental Table S3 for detailed analysis.
      • Supplemental Fig S2 Hierarchical clustering of the identified glycoprotein expression profiles in different tissues. The microarray data were downloaded from the Poplar eFP browser. Color scale at the right of the dendrogram represents log2 expression values.
      • Copyright: © 2022 by the author(s). Published by Maximum Academic Press, Fayetteville, GA. This article is an open access article distributed under Creative Commons Attribution License (CC BY 4.0), visit https://creativecommons.org/licenses/by/4.0/.
    Figure (5)  Table (1) References (69)
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    Cheng H, Liu J, Zhou M, Cheng Y. 2022. Lectin affinity-based glycoproteome analysis of the developing xylem in poplar. Forestry Research 2:13 doi: 10.48130/FR-2022-0013
    Cheng H, Liu J, Zhou M, Cheng Y. 2022. Lectin affinity-based glycoproteome analysis of the developing xylem in poplar. Forestry Research 2:13 doi: 10.48130/FR-2022-0013

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