Abstract
Colonization of the land by plants required major modifications in cellular structural composition and metabolism. Intercellular communication through plasmodesmata (PD) plays a critical role in the coordination of growth and cell activities. Changes in the form, regulation or function of these channels are likely linked to plant adaptation to the terrestrial environments. Constriction of PD aperture by deposition of callose is the best-studied mechanism in PD regulation. Glycosyl hydrolases family 17 (GHL17) are callose degrading enzymes. In Arabidopsis this is a large protein family, few of which have been PD-localized. The objective here is to identify correlations between evolution of this protein family and their role at PD and to use this information as a tool to predict the localization of candidates isolated in a proteomic screen. With this aim, we studied phylogenetic relationship between Arabidopsis GHL17 sequences and those isolated from fungi, green algae, mosses and monocot representatives. Three distinct phylogenetic clades were identified. Clade alpha contained only embryophytes sequences suggesting that this subgroup appeared during land colonization in organisms with functional PD. Accordingly, all PD-associated GHL17 proteins identified so far in Arabidopsis thaliana and Populus are grouped in this ‘embryophytes only’ phylogenetic clade. Next, we tested the use of this knowledge to discriminate between candidates isolated in the PD proteome. Transient and stable expression of GFP protein fusions confirmed PD localization for candidates contained in clade alpha but not for candidates contained in clade beta. Our results suggest that GHL17 membrane proteins contained in the alpha clade evolved and expanded during land colonization to play new roles, among others, in PD regulation.
Keywords: plasmodesmata; callose regulation; GH17 domain; beta 1,3 glucanases; phylogenetic analysis
Introduction
Cell-to-cell communication is a requisite for the evolution of multicellular organisms. Plant intercellular connections (plasmodesmata, PD) are thought to originate with the appearance of multicellularity in green algae but their structural complexity increased, presumably, as a result of changes in cell-wall composition during adaptation to terrestrial environments (Lucas and Lee, 2004; Popper et al., 2011). Similarities between intercellular connections in charophytic algae and in early land plants suggest that they have a common evolutionary origin. Plasmodesmata occur in all embryophytes (including mosses) and, in their simplest form, also appear in representatives of charophytic green algae (Franceschi et al., 1994; Cook et al., 1997; Raven, 1997; Graham et al., 2000; Qiu, 2008). The presence of phragmoplast (p, enlarged cytoplasmic connection formed in the later stages of plant cell mitosis) in the zygnematalean taxa suggest that PD likely originate during the evolution of phragmoplast-containing charophyceans (Figure 1).
In their primary form, PD arise during cytokinesis, presumably via enclosure of endoplasmic reticulum by cell wall depositions (Hepler, 1981; Cook et al., 1997). Important features of plant PDs (such as neck constriction and central desmotubule like structure) appear in Chara species but since the colonization of land by plants (more than 400 million years ago) numerous modifications in PD ultrastructure and regulation are expected. A more complete understanding of the evolutionary steps involved in the origin of plant PDs, their function and regulation should be possible through the identification of plasmodesma-associated proteins and analysis of their evolutionary appearance in charophycean algae and land plants. Plasmodesma-associated proteins have been isolated in model plants, such as Arabidopsis and tobacco, using genetic and proteomic screens but the composition of the channel in model and non-model organisms is far from being resolved (Faulkner and Maule, 2011). Genome sequencing projects and prediction tools for protein structure and targeting has been proven useful to establish protein localization and function in different intracellular compartments (e.g., Pires and Dolan, 2010; Ma et al., 2011; Tardif et al., 2012). Known PD proteins display characteristic features of membrane-localized proteins (such as secretory signal peptides, glycosyl phosphatidylinositol anchors or transmembrane domains) but no specific sequence signature for PD-binding has been yet discovered.
Recently we have obtained information on the identity of Arabidopsis PD proteins, including several callose (beta 1,3 glucans) metabolic enzymes (Levy et al., 2007; Fernandez-Calvino et al., 2011; Vaten et al., 2011; Benitez-Alfonso et al., 2013). Callose deposition at PD neck region correlates with a reduction in symplastic transport during tissue maturation (Burch-Smith and Zambryski, 2012; Slewinski et al., 2012). Callose also acts as a reversible regulator of intercellular transport in response to developmental and environmental signals (Levy et al., 2007; Benitez-Alfonso et al., 2010; Maule et al., 2011, 2013; Rinne et al., 2011; Zavaliev et al., 2011). This implies that the activity of callose biosynthetic (callose synthases, CalS) and degrading enzymes (glycosyl hydrolase family 17, GHL17) must be rapidly and efficiently regulated at PD sites. Not surprisingly, PD-associated CalS and GHL17 proteins have been recently identified (Guseman et al., 2010; Vaten et al., 2011; Slewinski et al., 2012; Benitez-Alfonso et al., 2013; Zavaliev et al., 2013).
The role of plasmodesmata-localized GHL17 proteins in plant development and response to viral pathogens has been well established (Levy et al., 2007; Zavaliev et al., 2011; Burch-Smith and Zambryski, 2012). The identification of these enzymes in crop species could lead to the development of biotechnological approaches to improve plant growth and response to environmental and developmental signals. This task is hindered by the lack of tools to discriminate between plasma membrane (PM) and PD GHL17 proteins. Generation of fluorescent fusions and transgenics to determine intracellular localization will be required but, without any preliminary method to screen for candidates, this process could become very expensive and time consuming especially when dealing with large multigenic families such as GHL17.
Callose metabolic enzymes are conserved in fungi, oomycetes, algae and plants which indicate that this is a very ancient metabolic pathway (Bachman and McClay, 1996; Popper et al., 2011). What is not known is when this pathway was recruited to play an active role in PD regulation. The answer to this question might underlie in the evolutionary diversification of these enzymes to play PD-specific functions in land plants.
In this paper we present evidences supporting a potential correlation between the evolutionary origin of GHL17 proteins and their likelihood to target PD sites. Through phylogenetic analysis we identified a clade of membrane proteins that appear to have diverged early during land plants adaptation to terrestrial environments. The intracellular localization of predicted membrane GHL17 proteins isolated from Arabidopsis and Populus suggest that this “embryophytes only” subgroup is enriched in PD proteins (Pechanova et al., 2010; Fernandez-Calvino et al., 2011; Rinne et al., 2011; Benitez-Alfonso et al., 2013; Zavaliev et al., 2013). We used this information for the preliminary screen of 4 candidates identified through the proteomic screen of PD-enriched cell wall fractions. Two of the proteins belonged to clade alpha and were previously described to localize at PD. We tested the localization of two proteins that belonged to clade beta and found, through fluorescent imaging of m-Citrine protein fusions, that they accumulate preferentially in the apoplast. Our results suggest that at least a portion of GHL17 membrane proteins contained in clade alpha evolved in embryophytes differently from proteins contained in clade beta to specifically target PD and control callose on site.
Materials and methods
Retrieval of GHL17 sequences and analysis of protein domains
To isolate sequences containing the 1,3-beta glucosidase domain (GH17) from charophycean algae, Physcomitrella patens and selected embryophytes (Arabidopsis thaliana, Populus trichocarpa and Oryza sativa) BLAST (Altschul et al., 1990) searches were performed using as query five representative GHL17 sequences from Arabidopsis thaliana (At3g13560, At3g57260, At4g14080, At4g31140, At5g42100). For charophycean algae we searched the National Centre for Biotechnology Information (http://www.ncbi.nlm.nih.gov/) non-redundant (NR), high-throughput genome sequence (HTGS), whole genome shotgun (WGS), genome survey sequence (GSS) and expressed sequence tag (EST) databases. We obtained partial ESTs that were translated to amino acid sequences using Expasy translate tool. Presence of GH17 domain was confirmed in these sequences using the Conserved Domain (Marchler-Bauer et al., 2007) and SMART (http://smart.embl-heidelberg.de; Letunic et al., 2012) search engines. To isolate GH17 proteins from embryophytes sequenced genomes (Physcomitrella patens, Populus trichocarpa and Oryza sativa) a BLAST search against the Refseq protein database for each specific organism was performed using as query the same five Arabidopsis representative listed above and the GHL17 consensus domain sequence (cl18348). Similarly, to isolate beta-1,3-glucanases from fungi representatives (Candida albicans, Aspergillus clavatus, Aspergillus fumigatus, Aspergillus niger, Candida glabrata, Debaryomyces hansenii, Ashbya gossypii, Fusarium graminearum, Kluyveromyces lactis, Saccharomyces cerevisiae, Scheffersomyces stipitis, Schizosaccharomyces pombe, Yarrowia lipolytica) the consensus domain sequence (ci18819) was used to search the reference genome databases. Only protein sequences containing GH17 domain (confirmed in SMART) and predicted to be complete were considered. Aramemnon (http://aramemnon.uni-koeln.de/request.ep) was also used to search and/or confirm the identity of the proteins isolated in the Rice annotation project database or in Phytozome.
To eliminate redundancies, and/or to identify overlapping regions in isolated ESTs, sequences obtained for each organism were aligned using Muscle (Edgar, 2004). The resulting sequences are summarized in Table 1. These were screened for characteristic features of this family, the presence of a secretory signal peptide (SP), glycosyl phosphatidylinositol anchor (GPI) and carbohydrate-binding module (X8), using the prediction programs SMART, SignalP 4.1 Serve, Phobius, GPI-SOM, FragAnchor, PredGPI and BIG-PI respectively (Eisenhaber et al., 2003; Fankhauser and Maser, 2005; Poisson et al., 2007; Pierleoni et al., 2008; Petersen et al., 2011; Letunic et al., 2012). According to the results obtained full length sequences were classified in the following types: type 0 showed no obvious SP (non-secreted proteins); type 1 contains SP and might (or might not) contain one or more X8 domains (predicted secreted proteins); type 2 contains SP, one or more X8 domains and GPI anchor and type 3 contains SP and GPI anchor but not X8 domain. The presence of GPI anchor in type 2 and 3 proteins was used to predict their membrane localization. The classification of the sequences analyzed is provided in Table 2.
Table 1.
Organism | Identifier in this paper | Sequence identifier |
---|---|---|
Klebsormidium flaccidum | KfGHL17_1 | HO446722 + |
HO446665* | ||
Klebsormidium flaccidum | KfGHL17_2 | HO451810.1 |
Penium margaritaceum | PmGHL17_1 | JO220251.1 |
Chaetosphaeridium globosum | CgGHL17_1 | HO400516.1 |
Nitella mirabilis | NtGHL17_1 | JV792233.1 |
Nitella mirabilis | NtGHL17_2 | JV742253.1 |
Nitella mirabilis | NtGHL17_3 | JV760383.1 |
Physcomitrella patens | PpGHL17_1 | XP_001761806.1 |
Physcomitrella patens | PpGHL17_2 | XP_001772420.1 |
Physcomitrella patens | PpGHL17_3 | XP_001780679.1 |
Physcomitrella patens | PpGHL17_4 | XP_001762206.1 |
Physcomitrella patens | PpGHL17_5 | XP_001780506.1 |
Physcomitrella patens | PpGHL17_6 | XP_001779924.1 |
Physcomitrella patens | PpGHL17_7 | XP_001767901.1 |
Physcomitrella patens | PpGHL17_8 | XP_001771454.1 |
Physcomitrella patens | PpGHL17_9 | XP_001782572.1 |
Physcomitrella patens | PpGHL17_10 | XP_001773368.1 |
Physcomitrella patens | PpGHL17_11 | XP_001782548.1 |
Physcomitrella patens | PpGHL17_12 | XP_001772976.1 |
Physcomitrella patens | PpGHL17_13 | XP_001757439.1 |
Physcomitrella patens | PpGHL17_14 | XP_001754617.1 |
Physcomitrella patens | PpGHL17_15 | XP_001775842.1 |
Physcomitrella patens | PpGHL17_16 | XP_001762304.1 |
Physcomitrella patens | PpGHL17_17 | XP_001757144 |
Physcomitrella patens | PpGHL17_18 | XP_001777261.1 |
Candida albicans | CaGHL17_1 | P43070.1 |
Aspergillus clavatus | AcGHL17_1 | XP_001269132.1 |
Aspergillus fumigatus | AfgHL17_1 | XP_752511.1 |
Aspergillus niger | AnGHL17_1 | XP_001392475.1 |
Candida glabrata | CglGHL17_1 | XP_446374.1 |
Debaryomyces hansenii | DhGHL17_1 | XP_462355.1 |
Ashbya gossypii | AgGHL17_1 | NP_986324.2 |
Fusarium graminearum | FgGHL17_1 | XP_383705.1 |
Kluyveromyces lactis | KlGHL17_1 | XP_455217.1 |
Saccharomyces cerevisiae | ScGHL17_1 | NP_011798.1 |
Scheffersomyces stipitis | SsGHL17_1 | XP_001387556.1 |
Schizosaccharomyces pombe | SpoGHL17_1 | NP_594455.1 |
Yarrowia lipolytica | YlGHL17_1 | XP_500465.1 |
Oryza sativa | OsGHL17_1 | NP_001052739.1 |
Oryza sativa | OsGHL17_2 | NP_001044874.1 |
Oryza sativa | OsGHL17_3 | NP_001047027.1 |
Oryza sativa | OsGHL17_4 | NP_001046220.1 |
Oryza sativa | OsGHL17_5 | NP_001058028.1 |
Oryza sativa | OsGHL17_6 | NP_001044198.1 |
Oryza sativa | OsGHL17_7 | NP_001051111.1 |
Oryza sativa | OsGHL17_8 | NP_001049413.1 |
Oryza sativa | OsGHL17_9 | NP_001060087.2 |
Oryza sativa | OsGHL17_10 | NP_001059752.1 |
Oryza sativa | OsGHL17_11 | NP_001068140.2 |
Oryza sativa | OsGHL17_12 | NP_001057968.1 |
Oryza sativa | OsGHL17_13 | BAD31779.1 |
Oryza sativa | OsGHL17_14 | NP_001173461.1 |
Oryza sativa | OsGHL17_15 | NP_001050810.1 |
Oryza sativa | OsGHL17_16 | NP_001056153.1 |
Oryza sativa | OsGHL17_17 | NP_001062739.1 |
Oryza sativa | OsGHL17_18 | BAD01673.1 |
Oryza sativa | OsGHL17_19 | NP_001061277.1 |
Oryza sativa | OsGHL17_20 | NP_001045844.1 |
Oryza sativa | OsGHL17_21 | AA037977 |
Oryza sativa | OsGHL17_22 | AAP44659 |
Oryza sativa | OsGHL17_23 | ABF94756.1 |
Oryza sativa | OsGHL17_24 | ABF95444.1 |
Arabidopsis thaliana | At2g05790 | NP_178637.2 |
Arabidopsis thaliana | At4g26830 | NP_194413.2 |
Arabidopsis thaliana | At5g55180 | NP_001154780.1 |
Arabidopsis thaliana | At4g18340 | NP_193568.2 |
Arabidopsis thaliana | At1g30080 | NP_174300.2 |
Arabidopsis thaliana | At2g26600 | NP_850082.1 |
Arabidopsis thaliana | At3g15800 | NP_188201.1 |
Arabidopsis thaliana | At2g27500 | NP_001031432 |
Arabidopsis thaliana | At5g42100 | NP_974868.1 |
Arabidopsis thaliana | At1g32860 | NP_174563.2 |
Arabidopsis thaliana | At5g24318 | NP_001119271.1 |
Arabidopsis thaliana | At3g46570 | NP_190241.1 |
Arabidopsis thaliana | At2g39640 | NP_181494.1 |
Arabidopsis thaliana | At3g55430 | NP_191103.1 |
Arabidopsis thaliana | At5g42720 | NP_199086.2 |
Arabidopsis thaliana | At4g34480 | NP_195174.6 |
Arabidopsis thaliana | At2g16230 | NP_179219.4 |
Arabidopsis thaliana | At3g13560 | NP_974303.1 |
Arabidopsis thaliana | At1g11820 | NP_001184967.1 |
Arabidopsis thaliana | At1g66250 | NP_176799.2 |
Arabidopsis thaliana | At2g01630 | NP_001077866.1 |
Arabidopsis thaliana | At4g29360 | NP_567828.3 |
Arabidopsis thaliana | At5g56590 | NP_200470.1 |
Arabidopsis thaliana | At3g55780 | NP_191137.1 |
Arabidopsis thaliana | At3g61810 | NP_191740.1 |
Arabidopsis thaliana | At3g07320 | NP_683538.1 |
Arabidopsis thaliana | At3g23770 | NP_189019.1 |
Arabidopsis thaliana | At4g14080 | NP_193144.1 |
Arabidopsis thaliana | At5g58480 | NP_200656.2 |
Arabidopsis thaliana | At4g17180 | NP_193451.2 |
Arabidopsis thaliana | At5g64790 | NP_201284.1 |
Arabidopsis thaliana | At3g04010 | NP_187051.3 |
Arabidopsis thaliana | At5g18220 | NP_197323.1 |
Arabidopsis thaliana | At1g64760 | NP_001031232.1 |
Arabidopsis thaliana | At2g19440 | NP_179534.1 |
Arabidopsis thaliana | At3g24330 | NP_189076.1 |
Arabidopsis thaliana | At5g20870 | NP_197587.1 |
Arabidopsis thaliana | At5g58090 | NP_200617.2 |
Arabidopsis thaliana | At4g31140 | NP_194843.1 |
Arabidopsis thaliana | At1g77790 | NP_177902.1 |
Arabidopsis thaliana | At1g77780 | NP_177901.1 |
Arabidopsis thaliana | At5g20390 | NP_197539.1 |
Arabidopsis thaliana | At5g20560 | NP_197556.1 |
Arabidopsis thaliana | At1g33220 | NP_174592.1 |
Arabidopsis thaliana | At5g20340 | NP_197534.1 |
Arabidopsis thaliana | At5g20330 | NP_197533.1 |
Arabidopsis thaliana | At4g16260 | NP_193361.4 |
Arabidopsis thaliana | At3g57270 | NP_191286.1 |
Arabidopsis thaliana | At3g57240 | NP_191283.2 |
Arabidopsis thaliana | At3g57260 | NP_191285.1 |
Populus trichocarpa | PtGHL17_1 | XP_002297638.2 |
Populus trichocarpa | PtGHL17_2 | XP_002304004.2 |
Populus trichocarpa | PtGHL17_3 | XP_002314794.2 |
Populus trichocarpa | PtGHL17_4 | XP_002305879.1 |
Populus trichocarpa | PtGHL17_5 | XP_006389594.1 |
Populus trichocarpa | PtGHL17_6 | XP_006371969.1 |
Populus trichocarpa | PtGHL17_7 | XP_002316783.2 |
Populus trichocarpa | PtGHL17_8 | XP_002333242.1 |
Populus trichocarpa | PtGHL17_9 | XP_002302861.2 |
Populus trichocarpa | PtGHL17_10 | XP_002318439.2 |
Populus trichocarpa | PtGHL17_11 | XP_006384505.1 |
Populus trichocarpa | PtGHL17_12 | XP_006379239.1 |
Populus trichocarpa | PtGHL17_13 | XP_002312097.1 |
Populus trichocarpa | PtGHL17_14 | XP_002312098.1 |
Populus trichocarpa | PtGHL17_15 | XP_002303070.2 |
Populus trichocarpa | PtGHL17_16 | XP_002298356.1 |
Populus trichocarpa | PtGHL17_17 | XP_002332000.1 |
Populus trichocarpa | PtGHL17_18 | XP_002317055.2 |
Populus trichocarpa | PtGHL17_19 | XP_002306003.2 |
Populus trichocarpa | PtGHL17_20 | XP_006385314.1 |
Populus trichocarpa | PtGHL17_21 | XP_002300505.2 |
Populus trichocarpa | PtGHL17_22 | XP_002300634.2 |
Populus trichocarpa | PtGHL17_23 | XP_002299750.2 |
Populus trichocarpa | PtGHL17_24 | XP_002312820.1 |
Populus trichocarpa | PtGHL17_25 | XP_002325214.2 |
Populus trichocarpa | PtGHL17_26 | XP_002328249.1 |
Populus trichocarpa | PtGHL17_27 | XP_002321273.1 |
Populus trichocarpa | PtGHL17_28 | XP_006386924 |
Populus trichocarpa | PtGHL17_29 | XP_002329975.1 |
Populus trichocarpa | PtGHL17_30 | XP_002321266.1 |
Populus trichocarpa | PtGHL17_31 | XP_002329954.1 |
Populus trichocarpa | PtGHL17_32 | XP_002315222.2 |
Populus trichocarpa | PtGHL17_33 | XP_002332466.1 |
Populus trichocarpa | PtGHL17_34 | XP_002329964.1 |
Populus trichocarpa | PtGHL17_35 | XP_002332467.1 |
Populus trichocarpa | PtGHL17_36 | XP_002324127.1 |
Populus trichocarpa | PtGHL17_37 | XP_002329956.1 |
Populus trichocarpa | PtGHL17_38 | XP_002302261.1 |
Populus trichocarpa | PtGHL17_39 | XP_002313970.1 |
Populus trichocarpa | PtGHL17_40 | XP_002319699.1 |
Populus trichocarpa | PtGHL17_41 | XP_006372260.1 |
Populus trichocarpa | PtGHL17_42 | XP_002330836.1 |
Populus trichocarpa | PtGHL17_43 | XP_002308921.2 |
Populus trichocarpa | PtGHL17_44 | XP_002306606.2 |
Populus trichocarpa | PtGHL17_45 | XP_002299791.2 |
Populus trichocarpa | PtGHL17_46 | XP_002309443.2 |
Populus trichocarpa | PtGHL17_47 | XP_002310612.1 |
Populus trichocarpa | PtGHL17_48 | XP_002323325.2 |
Populus trichocarpa | PtGHL17_49 | XP_002314934.2 |
Populus trichocarpa | PtGHL17_50 | XP_002315775.2 |
Populus trichocarpa | PtGHL17_51 | XP_002308018.2 |
Populus trichocarpa | PtGHL17_52 | XP_002314086.1 |
Populus trichocarpa | PtGHL17_53 | XP_002324967 |
Populus trichocarpa | PtGHL17_54 | XP_002305174.1 |
The table includes the source organism, abbreviation used in this study and sequence identifier en NCBI.
This ORF was obtained by translating the sequence resulting from overlapping these two ESTs.
Table 2.
Sequence identifier | Type | Branch |
---|---|---|
PpGHL17_1 | 1 | α |
PpGHL17_2 | 1 | α |
PpGHL17_3 | 1 | α |
PpGHL17_4 | 0 | α |
PpGHL17_5 | 1 | α |
PpGHL17_6 | 1 | α |
PpGHL17_7 | 2 | α |
PpGHL17_8 | 0 | α |
PpGHL17_9 | 0 | α |
PpGHL17_10 | 2 | β |
PpGHL17_11 | 1 | α |
PpGHL17_12 | 2 | β |
PpGHL17_13 | 2 | β |
PpGHL17_14 | 1 | β |
PpGHL17_15 | 1 | β |
PpGHL17_16 | 0 | β |
PpGHL17_17 | 0 | α |
PpGHL17_18 | 0 | α |
OsGHL17_1 | 3 | α |
OsGHL17_2 | 3 | α |
OsGHL17_3 | 3 | α |
OsGHL17_4 | 3 | α |
OsGHL17_5 | 3 | α |
OsGHL17_6 | 1 | α |
OsGHL17_7 | 3 | α |
OsGHL17_8 | 2 | α |
OsGHL17_9 | 2 | α |
OsGHL17_10 | 2 | α |
OsGHL17_11 | 2 | β |
OsGHL17_12 | 2 | β |
OsGHL17_13 | 2 | β |
OsGHL17_14 | 2 | β |
OsGHL17_15 | 2 | β |
OsGHL17_16 | 2 | β |
OsGHL17_17 | 2 | β |
OsGHL17_18 | 2 | β |
OsGHL17_19 | 2 | β |
OsGHL17_20 | 2 | β |
OsGHL17_21 | 2 | β |
OsGHL17_22 | 1 | α |
OsGHL17_23 | 3 | α |
OsGHL17_24 | 2 | β |
At2g05790 | 1 | α |
At4g26830 | 1 | α |
At5g55180 | 1 | α |
At4g18340 | 1 | α |
At1g30080 | 1 | α |
At2g26600 | 3 | α |
At3g15800 | 3 | α |
At2g27500 | 1 | α |
At5g42100 | 3 | α |
At1g32860 | 3 | α |
At5g24318 | 1 | α |
At3g46570 | 1 | α |
At2g39640 | 1 | α |
At3g55430 | 1 | α |
At5g42720 | 3 | α |
At4g34480 | 1 | α |
At2g16230 | 1 | α |
At3g13560 | 2 | α |
At1g11820 | 1 | α |
At1g66250 | 2 | α |
At2g01630 | 2 | α |
At4g29360 | 2 | α |
At5g56590 | 2 | α |
At3g55780 | 1 | α |
At3g61810 | 1 | α |
At3g07320 | 1 | α |
At3g23770 | 1 | α |
At4g14080 | 1 | α |
At5g58480 | 2 | β |
At4g17180 | 1 | β |
At5g64790 | 2 | β |
At3g04010 | 2 | β |
At5g18220 | 2 | β |
At1g64760 | 2 | β |
At2g19440 | 2 | β |
At3g24330 | 2 | β |
At5g20870 | 2 | β |
At5g58090 | 2 | β |
At4g31140 | 2 | β |
At1g77790 | 1 | γ |
At1g77780 | 3 | γ |
At5g20390 | 1 | γ |
At5g20560 | 1 | γ |
At1g33220 | 1 | γ |
At5g20340 | 1 | γ |
At5g20330 | 1 | γ |
At4g16260 | 1 | γ |
At3g57270 | 1 | γ |
At3g57240 | 1 | γ |
At3g57260 | 1 | γ |
PtGHL17_1 | 2 | α |
PtGHL17_2 | 1 | α |
PtGHL17_3 | 2 | α |
PtGHL17_4 | 0 | α |
PtGHL17_5 | 2 | α |
PtGHL17_6 | 2 | α |
PtGHL17_7 | 1 | α |
PtGHL17_8 | 1 | α |
PtGHL17_9 | 1 | α |
PtGHL17_10 | 1 | α |
PtGHL17_11 | 1 | α |
PtGHL17_12 | 1 | α |
PtGHL17_13 | 1 | α |
PtGHL17_14 | 1 | α |
PtGHL17_15 | 1 | α |
PtGHL17_16 | 1 | α |
PtGHL17_17 | 1 | α |
PtGHL17_18 | 3 | α |
PtGHL17_19 | 1 | α |
PtGHL17_20 | 3 | α |
PtGHL17_21 | 3 | α |
PtGHL17_22 | 1 | α |
PtGHL17_23 | 3 | α |
PtGHL17_24 | 1 | α |
PtGHL17_25 | 3 | α |
PtGHL17_26 | 3 | α |
PtGHL17_27 | 1 | α |
PtGHL17_28 | 1 | α |
PtGHL17_29 | 3 | α |
PtGHL17_30 | 1 | α |
PtGHL17_31 | 1 | α |
PtGHL17_32 | 2 | α |
PtGHL17_33 | 1 | α |
PtGHL17_34 | 2 | α |
PtGHL17_35 | 1 | β |
PtGHL17_36 | 2 | β |
PtGHL17_37 | 1 | α |
PtGHL17_38 | 0 | γ |
PtGHL17_39 | 2 | β |
PtGHL17_40 | 2 | β |
PtGHL17_41 | 2 | β |
PtGHL17_42 | 1 | β |
PtGHL17_43 | 1 | γ |
PtGHL17_44 | 0 | γ |
PtGHL17_45 | 1 | γ |
PtGHL17_46 | 2 | β |
PtGHL17_47 | 2 | β |
PtGHL17_48 | 1 | γ |
PtGHL17_49 | 1 | γ |
PtGHL17_50 | 0 | γ |
PtGHL17_51 | 1 | γ |
PtGHL17_52 | 1 | γ |
PtGHL17_53 | 2 | β |
PtGHL17_54 | 3 | α |
The table classifies the sequences used in this paper according to the presence of signal peptide, X8 domain and/or GPI anchor as described in Materials and Methods. It also mentions the branch in the tree where this sequence appears. Consult Table 1 to access the sequence corresponding to each identifier in NCBI.
Alignments, sequence conservation, and phylogenetic analysis
All sequences isolated from representatives of charophycean algae and fungi, P. patens, Oryza sativa and Arabidopsis thaliana (Table 1) were aligned using Muscle (Edgar, 2004). Sequences from algae were incomplete which generate large gaps. These gaps were mostly avoided when only the domain was used. Therefore we constructed trees with both, full sequences and domain only. These alignments are provided in Supplementary data 1. To calculate the best fitting model of amino acid evolution MEGA5 was used (Tamura et al., 2013). This suggests WAG+G+F as the best model under the Akaike Information Criterion. Dendograms were obtained using three different methods of tree reconstruction [maximum likelihood (ML), neighbor-joining (NJ) and Bayesian inference (Bayesian)]. A majority-rule consensus tree was built by Bayesian inference using Mr. Bayes (Huelsenbeck and Ronquist, 2001). Convergence was reached after 960000 generations (3720000 when using domain only) and posterior probabilities were calculated for each clade. Using the same model a ML analysis was performed with MEGA5 (Tamura et al., 2013) and bootstrap values were determined from a population of 100 replicates. A NJ tree was also generated using Phylip (Felsenstein, 1997) as well as bootstrap values, which were determined from a population of 100 replicates. The tree was visualized using Figtree (http://tree.bio.ed.ac.uk/software/figtree/). A similar protocol was followed for phylogenetic comparison of Arabidopsis thaliana and Populus trichocarpa sequences (alignments provided in Supplementary data 2). In this case convergence was reached after 45000 generations.
A graphical representation of the GH17 domain alignment was performed using weblogo3 (Crooks et al., 2004). In the logo the overall height of the stack indicates the sequence conservation at that position.
Generation of transgenic plant material
Construction of p35S-mCitrine-PdBG1 (At3g13560) was described elsewhere (Benitez-Alfonso et al., 2013). N-terminal and GPI-anchor domains were predicted for At4g31140 and At5g58090 using SignalP 4.1 Serve and GPI-SOM (Fankhauser and Maser, 2005; Petersen et al., 2011). mCitrine protein fusions were obtained by overlapping PCR (Tian et al., 2004) and expressed in the binary vector pB7WG2.0 using Gateway technology. The mCitrine was fused in frame between amino acids 454–455 in the case of At4g31140 and between amino acids 445–446 in the case of At5g58090.
Transient expression was verified by agroinfiltration in Nicotiana benthamiana leaves. Stable transgenic lines were generated using the floral dip method, followed by selection with BASTA. T2 seeds were sterilized and germinated in long day conditions on plates containing MS medium supplemented with BASTA (25 μg/ml).
Callose staining
Callose deposition at PD was detected in plant samples vacuum infiltrated with 0,1% (w/v) aniline blue in 0,1M sodium phosphate (pH 9.0) and incubated in the dark for 1–2 h before imaging.
Microscopy
Confocal analysis was performed on a Zeiss LSM700 Inverted microscope using a 488 nm excitation laser for mCitrine, the 405 nm laser for aniline blue fluorochrome and 585 nm laser to detect chloroplast autofluorescence. Emission was collected using the filters: BP 505–530 for mCitrine, the DAPI filter for aniline blue (463 nm) and LP 615 filter for chloroplasts (581 nm). The images corresponded to stacks of z- optical sections. Sequential scanning was used to image tissues expressing mCitrine and stained with aniline blue.
Results
Identification of GHL17 sequences in charophytes and embryophytes suggest gene family expansion
The presence of intercellular connections (phragmoplast and/or less evolved PD) has been described in some species belonging to the Charophytes (Figure 1) but so far, in this lineage, regulation of PD by callose metabolism has only been demonstrated in embryophytes (Scherp et al., 2001; Schuette et al., 2009). The presence of β-1,3 glucans in the cell wall of unicellular organisms indicate an ancient origin for this metabolic pathway but how and when it evolved to control PD transport is unknown (Sorensen et al., 2011). In an attempt to answer this question, we isolated sequences encoding GH17 domains from charophytes, bryophytes, and vascular plants. Based on the availability of sequence information, we selected representative species from the charophycean orders: Klebsormidiales (Klebsormidium flaccidum), Zignematales (Penium margaritaceum), Coleochatales (Chaetosphaeridium globosum) and Charales (Nitella mirabilis). 14 partial transcripts were isolated but only 7 (2 from Klebsormidium, 1 from Penium, 1 from C. globosum and 3 from Nitella) contained key aminoacids forming the active site of GHL17 (Table 1).
Full-length GHL17 sequences were isolated from moss (Physcomitrella patents) and from monocots (Oryza sativa) and dicots (Arabidopsis thaliana and Populus trichocarpa) model plants using genome information and protein annotation databases. In total we were able to identify 18 sequences in Physcomitrella, 24 sequences in Oryza sativa, 50 sequences in Arabidopsis thaliana and 54 in Populus trichocarpa (Table 1). The increasing number of sequences isolated in land plants with respect to those isolated in algae and moss suggests that an expansion in this gene family have occurred during or immediately after land colonization.
We used prediction tools to determine the structure and localization of the proteins encoded by the sequences identified. This was not possible for algae representatives because only partial transcripts were isolated. For moss, rice, Arabidopsis and Populus sequences, secretory signal peptides (SP) and the presence of C-terminal GPI anchoring domains were predicted using several bioinformatics websites (see Material and Methods). GHL17 sequences were also classified according to the presence of one or more carbohydrate binding domains (named X8 or CBM43). We classified sequences in 4 types according to the presence of one or more of these features (see Material and Methods and Table 2). Type 2 and 3 displayed a SP and GPI-anchor signature that predicts their localization at the PM or at membranous subdomains (such as PD). From the 18 sequences isolated in Physcomitrella only 4 were classified as type 2. Arabidopsis genome contained 21 membrane predicted sequences (42% of the total), which were experimentally verified in a proteomic analysis (Borner et al., 2003). The number of membrane predicted GHL17 was very similar in rice and Populus trichocarpa (22 in rice, 21 in poplar). When comparing moss and vascular plants a major increase in the number of predicted membrane-targeted proteins is detected consistent with the hypothesis that GHL17 evolved and expanded to support or adopt specialized functions at membraneous domains in terrestrial environments.
Key amino acid residues in the GH17 domain are conserved throughout evolution
Research on GHL17 protein structure revealed two strictly conserved glutamate residues that act as the proton donor and the nucleophile in all reactions catalyzed by glycosyl hydrolases (Jenkins et al., 1995; Wojtkowiak et al., 2013). A number of aromatic and hydrophilic residues located near the catalytic cleft, presumably involved in substrate specificity and enzyme activity, are also conserved among all plant GHL17 proteins (Wojtkowiak et al., 2013).
To study the molecular evolution of the GH17 domain in green algae, moss and plants, we translated and aligned the domain region of the retrieved sequences using MEGA5 (Supplementary data 1). We also included sequences isolated from fungi representatives to analyze domain conservation in a different lineage. The results revealed that the glutamate catalytic residues (E) are highly conserved among all charophycean representatives, fungi and embryophytes (highlighted in red in the alignment shown in Supplementary data 1 and in Figure 2). Similarly, the residues surrounding the catalytic site are mostly conserved in all selected representatives (Supplementary data 1, Figure 2). Moreover a region contained the aromatic residues Tyr200 and Phe203 (location refer to At2g05790 sequence), which is involved in substrate interaction (Wojtkowiak et al., 2013), is also conserved in all streptophytes (Figure 2).
The high degree of similarity between the catalytic sites of GHL17 proteins in green algae, fungi and land plants supports the ancestral origins of this metabolic pathway.
Phylogeny revealed a group of GHL17 proteins that appeared in embryophytes only
The phylogenetic distribution of Arabidopsis GHL17 sequences has been studied before (Doxey et al., 2007). Based on tree topology, these proteins were grouped into three distinct clades: α, β, and γ. Predicted membrane GHL17 were evenly distributed in clade α and β. We investigated the evolutionary origin of these clades by comparing the phylogenetic distribution of GHL17 sequences isolated from charophycean green algae, fungi Physcomitrella patens, Oryza sativa and Arabidopsis thaliana. Although plants and fungi evolved in a different lineage, they share a common eukaryotic origin, which is reflected in the conservation of key aminoacids in the GH17 domain (Supplementary data 1).
Unrooted phylogenetic trees were generated using three search algorithms: Bayesian inference (Bayesian), Maximum Likelihood (ML) and Neighbor Joining (NJ) (Figure 3A and supplementary data 3). The tree topology was generally well supported by all 3 methods, with the exception of several higher order branches in ML and NJ bootstrap values. The three phylogenetic clades (α, β, and γ) described by Doxey et al. (2007) are color coded in Figure 3A. Fungi selected sequences branch off at the same point as some algae representatives and near the point of connection of plant sequences forming the clade beta. This suggests a more ancestral origin for this clade (Figure 3B). Clade alpha and gamma contained embryophytes only and, for the purpose of this paper, they could be considered as a single clade (Figure 3C).
Only partial transcripts were isolated for algae representatives hence gaps were introduced in the alignments that could affect the accuracy and reliability of the trees. To confirm the tree topology, we manually eliminate these gaps to generate trees containing the sequence region encoding the domain only (marked in yellow in Supplementary data 1). As shown in supplementary data 3, the distribution of sequences in the different clades and the relationship between the different branches was conserved in these “domain only” trees.
As in Arabidopsis, even distribution of predicted membrane sequences between the alpha and the beta clade was observed in rice (Figures 3B,C). Interestingly, type 3 proteins were almost exclusively found in the alpha clade. In summary our phylogenetic analysis suggest that GHL17 membrane proteins contained in clade alpha appeared in early embryophytes presumably to adopt new functions at the cell periphery.
PD localized GHL17 proteins are contained in the α clade
Since cell wall composition and PD complexity evolved during land plant colonization, it seems logical to assume that callose, and specialized callose metabolic enzymes, were adopted at some stage during this evolutionary process to regulate PD aperture. The presence of charophytic sequences and the proximity to a fungi branch suggests a more ancestral origin for membrane proteins included in the beta clade (Figure 3B). We hypothesize that PD-targeted GHL17 proteins evolved with the appearance of early embryophytes, hence likely be contained within the alpha clade (Figure 3C).
The Bayesian tree shows (with high support values) 10 predicted membrane proteins (type 2 and 3) from Arabidopsis contained in the alpha clade whereas 10 type 2 sequences appeared in a compact clade within the beta subgroup surrounded by sequences isolated from green algae (Figures 3B,C). Data from several publications reported the intracellular localization of several GHL17 proteins in Arabidopsis. The root developmental regulators At3g13560, At2g01630, and At1g66250 (Benitez-Alfonso et al., 2013) and the virus-induced protein At5g42100 (Levy et al., 2007) were PD-localized whereas At3g57260 was preferentially expressed in the apoplast (Zavaliev et al., 2013). Confirming our hypothesis, all PD localized proteins were grouped in the alpha clade (Figure 3C).
The localization of few GHL17 proteins from Populus has been recently reported (Pechanova et al., 2010; Rinne et al., 2011). To test the relationship between the appearance of the alpha clade and protein localization, we constructed a Bayesian tree with GHL17 sequences isolated from Arabidopsis and from Populus trichocarpa. BLAST searches against the Populus genome identified a total of 54 non-redundant sequences containing the GH17 domain (Table 1). Classification of these sequences according to bioinformatic predictions identified 21 putative membrane proteins (Table 2). A multiple sequence alignment was conducted and unrooted phylogenetic trees were generated using the Bayesian, ML and NJ algorithms (Figure 4 and Supplementary data 2 and 4). According to tree topology, Populus GHL17 proteins also appeared grouped in 3 clades α, β, and γ, each well supported by high probability values in each tree (Figure 4 and Supplementary data 4). As before, type 3 proteins were contained within the α clade whereas type 2 proteins were distributed between the α and β clades.
Orthologs of PtGHL17_18 and PtGHL17_26 were both found to target PD whereas PtGHL17_48 and PtGHL17_49 orthologs were mainly localized at the PM and lipid bodies (Rinne et al., 2011). As expected, PtGHL17_18 and PtGHL17_26 are membrane predicted proteins contained in the alpha clade (Figure 4). The results confirmed a potential link between the phylogenetic distribution of GHL17 proteins and their intracellular localization.
Using phylogenetic distribution to discriminate between candidates for PD localization
To identify novel PD components the proteomic composition of PD-enriched cell walls has been analyzed (Bayer et al., 2006; Fernandez-Calvino et al., 2011). Several GHL17 proteins were isolated through these screens, including the predicted membrane localized proteins At3g13560, At5g42100, At4g31140, and At5g58090. Different from At3g13560 and At5g42100 (included in the alpha clade), At4g31140 and At5g58090 were found in clade beta. Successful separation of PD membranous section from the desmotubule and the PM is quite challenging (if not impossible) therefore a number of false positives was expected. The results presented above suggest that proteins excluded from the alpha clade are not likely targeted to PD sites. Therefore, we tested the intracellular localization of At4g31140 and At5g58090 using as control At3g13560-mCitrine (a previously PD-localized GHL17 protein). m-Citrine fluorescent fusions were obtained and expressed transiently in tobacco leaves. The results are shown in Figure 5. Transient expression of either At4g31140-mCit or At5g58090-mCit led to protein accumulation in the apoplast (Figures 5A–C). At5g58090-mCit also appears to be associated with the endoplasmic reticulum (data not shown).
Transient assays can be misleading. Therefore we obtained stable transgenic lines expressing p35s-At5g58090-mCit to confirm the subcellular localization of this protein. Leaves isolated from 10 days-old seedlings expressing p35s-At5g58090-mCit and leaves isolated from seedlings overexpressing At3g13560-mCit (grown in the same plate) were stained with aniline blue to reveal callose deposits at PD sites. The intracellular localization of these proteins in stable lines reproduced the results obtained in transient assays (Figures 5D,E): At5g58090-mCit was found at the cell periphery and in the apoplast whereas At3g13560-mCit was found in a punctuated pattern along the cell wall (presumably PD sites). Co-localization with callose deposits at PD was found for At3g13560 but not for At5g58090 (white arrows in Figures 5D,E). This result suggests that PD localization of GHL17 proteins could be related to their evolutionary origin, hence with the appearance of the alpha clade.
Discussion
GHL17 proteins play many different roles in plant development and response to biotic and abiotic stresses (Doxey et al., 2007). Functional specialization can be predicted by studying protein sequence, gene expression and phylogeny (Doxey et al., 2007). Here, we used phylogenetic tree reconstruction to study when in land plant evolution GHL17 membrane proteins diversify to play a role at PD. First, we identified sequences encoding for a GH17 domain in representatives of green algae, fungi, bryophytes and vascular plants. Fungi, as plants, deposit callose at the cell wall but don't form plasmodesmata connections. Therefore they are an ideal organism to analyze the evolution of 1,3 beta glucanases in a different lineage.
Study of the protein sequences isolated suggests that the key amino acids involved in GH17 catalytic activity are highly conserved throughout evolution. This is in agreement with other reports that demonstrate the presence of beta 1,3 glucans in the cell wall of ancient unicellular algae where it is required for cell division and cell wall biogenesis (Scherp et al., 2001; Sorensen et al., 2011). Specialization of GHL17 proteins to play specific roles in the control of PD transport is therefore likely a consequence of evolutionary functional diversification within this family.
Classification of embryophytes GHL17 proteins according to the presence or absence of a signal peptide, of a GPI-anchored domain and of one or more carbohydrate binding domain (X8) predicted PM or PD localization for a set of proteins. The number of membrane predicted proteins increased from 4 identified in moss to 21–22 identified in vascular plants suggesting that an expansion occur in this protein family during land plant evolution. This might have been necessary to support the adaptation of multicellular organism to terrestrial environments, which might require specialized GHL17 proteins to assume divergent or redundant functions at the PM or membraneous subdomains.
Using phylogenetic analysis we found that membrane-targeted sequences are evenly distributed in two major clades (Figure 3). Clade alpha contained GHL17 sequences that appeared in embryophytes only whereas the beta clade comprised land plants and algae proteins and is closely related to a branch containing fungi sequences. This result suggest that clade alpha evolved early during land colonization in the Streptophyte lineage, whereas clade beta is form by proteins of a more ancestral origin (Figures 3B,C). Ultrastructural studies revealed the accumulation of callose at PD sites in early embryophytes (Scherp et al., 2001; Schuette et al., 2009) therefore GHL17 proteins participating in the regulation of callose at PD sites will likely appear in clade alpha.
Indeed, we noticed that all Arabidopsis PD-located GHL17 proteins (identified up to date) are clustered in the alpha clade. This established an interesting link between the phylogenetic distribution of GHL17 proteins and their intracellular localization. This correlation was confirmed in Populus: membrane proteins belonging to the alpha clade were reported to localize at PD but this was not the case for proteins contained in other clades (Rinne et al., 2011). We tested the use of this knowledge for the discrimination of false positives isolated in a proteomic screen of Arabidopsis PD. Two proteins from the beta clade were identified in the PD proteome but intracellular localization of mCitrine protein fusions revealed that they accumulate in the apoplast (Figure 5). Our results suggest that phylogenetic analysis could be potentially a useful tool for the preliminary detection of false positive when screening for PD-localized GHL17 proteins.
To summarize, the results obtained so far suggest that, during (or immediately after) colonization of terrestrial habitats by streptophytes, GHL17 gene family evolved and expanded to play specialized roles at the cell membrane, including PD regulation. Completion of genome sequence and further studies on callose regulation in ancestral charophyceans will be essential to confirm or refute this theory. Study of phylogenetic relationships between ancestral PM targeted GHL17 and those that evolved with embryophytes was used here to discriminate between PD-localized and non PD-localized proteins in Arabidopsis and Populus. This knowledge could theoretically be applied to the preliminary screening of GHL17 proteins (aiming to identified those that serve specialized roles are PD sites) in other land plant representatives.
Author contributions
Rocio Gaudioso-Pedraza performed the research, analyzed the data and designed the Figures. Yoselin Benitez-Alfonso designed the experiments, wrote the manuscript, performed research and interpreted the data for the work.
Conflict of interest statement
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
Acknowledgments
The authors thank Will Porter for plant care and general husbandry.
Supplementary material
The Supplementary Material for this article can be found online at: http://www.frontiersin.org/journal/10.3389/fpls.2014.00212/abstract
References
- Altschul S. F., Gish W., Miller W., Myers E. W., Lipman D. J. (1990). Basic local alignment search tool. J. Mol. Biol. 215, 403–410 10.1016/S0022-2836(05)80360-2 [DOI] [PubMed] [Google Scholar]
- Bachman E. S., McClay D. R. (1996). Molecular cloning of the first metazoan beta-1,3 glucanase from eggs of the sea urchin Strongylocentrotus purpuratus. Proc. Natl. Acad. Sci. U.S.A. 93, 6808–6813 10.1073/pnas.93.13.6808 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Bayer E. M., Bottrill A. R., Walshaw J., Vigouroux M., Naldrett M. J., Thomas C. L., et al. (2006). Arabidopsis cell wall proteome defined using multidimensional protein identification technology. Proteomics 6, 301–311 10.1002/pmic.200500046 [DOI] [PubMed] [Google Scholar]
- Benitez-Alfonso Y., Faulkner C., Pendle A., Miyashima S., Helariutta Y., Maule A. (2013). Symplastic intercellular connectivity regulates lateral root patterning. Dev. Cell 26, 136–147 10.1016/j.devcel.2013.06.010 [DOI] [PubMed] [Google Scholar]
- Benitez-Alfonso Y., Faulkner C., Ritzenthaler C., Maule A. J. (2010). Plasmodesmata: gateways to local and systemic virus infection. Mol. Plant Microbe Interact. 23, 1403–1412 10.1094/MPMI-05-10-0116 [DOI] [PubMed] [Google Scholar]
- Borner G. H., Lilley K. S., Stevens T. J., Dupree P. (2003). Identification of glycosylphosphatidylinositol-anchored proteins in Arabidopsis. A proteomic and genomic analysis. Plant Physiol. 132, 568–577 10.1104/pp.103.021170 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Burch-Smith T. M., Zambryski P. C. (2012). Plasmodesmata paradigm shift: regulation from without versus within. Annu. Rev. Plant Biol. 63, 239–260 10.1146/annurev-arplant-042811-105453 [DOI] [PubMed] [Google Scholar]
- Cook M., Graham L., Botha C., Lavin C. (1997). Comparative ultrastructure of plasmodesmata of Chara and selected bryophytes: toward an elucidation of the evolutionary origin of plant plasmodesmata. Am. J. Bot. 84, 1169 10.2307/2446040 [DOI] [PubMed] [Google Scholar]
- Crooks G. E., Hon G., Chandonia J. M., Brenner S. E. (2004). WebLogo: a sequence logo generator. Genome Res. 14, 1188–1190 10.1101/gr.849004 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Doxey A. C., Yaish M. W., Moffatt B. A., Griffith M., McConkey B. J. (2007). Functional divergence in the Arabidopsis beta-1,3-glucanase gene family inferred by phylogenetic reconstruction of expression states. Mol. Biol. Evol. 24, 1045–1055 10.1093/molbev/msm024 [DOI] [PubMed] [Google Scholar]
- Edgar R. C. (2004). MUSCLE: multiple sequence alignment with high accuracy and high throughput. Nucleic Acids Res. 32, 1792–1797 10.1093/nar/gkh340 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Eisenhaber B., Wildpaner M., Schultz C. J., Borner G. H., Dupree P., Eisenhaber F. (2003). Glycosylphosphatidylinositol lipid anchoring of plant proteins. Sensitive prediction from sequence- and genome-wide studies for Arabidopsis and rice. Plant Physiol. 133, 1691–1701 10.1104/pp.103.023580 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Fankhauser N., Maser P. (2005). Identification of GPI anchor attachment signals by a Kohonen self-organizing map. Bioinformatics 21, 1846–1852 10.1093/bioinformatics/bti299 [DOI] [PubMed] [Google Scholar]
- Faulkner C., Maule A. (2011). Opportunities and successes in the search for plasmodesmal proteins. Protoplasma 248, 27–38 10.1007/s00709-010-0213-x [DOI] [PubMed] [Google Scholar]
- Felsenstein J. (1997). An alternating least squares approach to inferring phylogenies from pairwise distances. Syst. Biol. 46, 101–111 10.1093/sysbio/46.1.101 [DOI] [PubMed] [Google Scholar]
- Fernandez-Calvino L., Faulkner C., Walshaw J., Saalbach G., Bayer E., Benitez-Alfonso Y., et al. (2011). Arabidopsis plasmodesmal proteome. PLoS ONE 6:e18880 10.1371/journal.pone.0018880 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Franceschi V. R., Ding B., Lucas W. (1994). Mechanism of plasmodesmata formation in characean algae in relation to evolution of intercellular comunication in higher plants. Planta 192, 347–358 10.1007/BF00198570 [DOI] [Google Scholar]
- Graham L. E., Cook M. E., Busse J. S. (2000). The origin of plants: body plan changes contributing to a major evolutionary radiation. Proc. Natl. Acad. Sci. U.S.A. 97, 4535–4540 10.1073/pnas.97.9.4535 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Guseman J. M., Lee J. S., Bogenschutz N. L., Peterson K. M., Virata R. E., Xie B., et al. (2010). Dysregulation of cell-to-cell connectivity and stomatal patterning by loss-of-function mutation in Arabidopsis chorus (glucan synthase-like 8). Development 137, 1731–1741 10.1242/dev.049197 [DOI] [PubMed] [Google Scholar]
- Hepler P. K. (1981). Endoplasmic reticulum in the formation of the cell plate and plasmodesmata. Protoplasma 111, 121–133 10.1007/BF01282070 [DOI] [Google Scholar]
- Huelsenbeck J. P., Ronquist F. (2001). MRBAYES: bayesian inference of phylogenetic trees. Bioinformatics 17, 754–755 10.1093/bioinformatics/17.8.754 [DOI] [PubMed] [Google Scholar]
- Jenkins J., Lo L. L., Harris G., Pickersgill R. (1995). Beta-glucosidase, beta-galactosidase, family A cellulases, family F xylanases and two barley glycanases form a superfamily of enzymes with 8-fold beta/alpha architecture and with two conserved glutamates near the carboxy-terminal ends of beta-strands four and seven. FEBS Lett. 362, 281–285 10.1016/0014-5793(95)00252-5 [DOI] [PubMed] [Google Scholar]
- Letunic I., Doerks T., Bork P. (2012). SMART 7: recent updates to the protein domain annotation resource. Nucleic Acids Res. 40, D302–D305 10.1093/nar/gkr931 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Levy A., Guenoune-Gelbart D., Epel B. L. (2007). beta-1,3-Glucanases: plasmodesmal gate keepers for intercellular communication. Plant Signal. Behav. 2, 404–407 10.4161/psb.2.5.4334 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Lucas W. J., Lee J. Y. (2004). Plasmodesmata as a supracellular control network in plants. Nat. Rev. Mol. Cell Biol. 5, 712–726 10.1038/nrm1470 [DOI] [PubMed] [Google Scholar]
- Ma H., Zhao H., Liu Z., Zhao J. (2011). The phytocyanin gene family in rice (Oryza sativa L.): genome-wide identification, classification and transcriptional analysis. PLoS ONE 6:e25184 10.1371/journal.pone.0025184 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Marchler-Bauer A., Anderson J. B., Derbyshire M. K., DeWeese-Scott C., Gonzales N. R., Gwadz M., et al. (2007). CDD: a conserved domain database for interactive domain family analysis. Nucleic Acids Res. 35, D237–D240 10.1093/nar/gkl951 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Maule A. J., Benitez-Alfonso Y., Faulkner C. (2011). Plasmodesmata - membrane tunnels with attitude. Curr. Opin. Plant Biol. 14, 683–690 10.1016/j.pbi.2011.07.007 [DOI] [PubMed] [Google Scholar]
- Maule A. J., Gaudioso-Pedraza R., Benitez-Alfonso Y. (2013). Callose deposition and symplastic connectivity are regulated prior to lateral root emergence. Commun. Integr. Biol. 6, e26531 10.4161/cib.26531 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Pechanova O., Hsu C. Y., Adams J. P., Pechan T., Vandervelde L., Drnevich J., et al. (2010). Apoplast proteome reveals that extracellular matrix contributes to multistress response in poplar. BMC Genomics 11:674 10.1186/1471-2164-11-674 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Petersen T. N., Brunak S., von Heijne G., Nielsen H. (2011). SignalP 4.0: discriminating signal peptides from transmembrane regions. Nat. Methods 8, 785–786 10.1038/nmeth.1701 [DOI] [PubMed] [Google Scholar]
- Pierleoni A., Martelli P. L., Casadio R. (2008). PredGPI: a GPI-anchor predictor. BMC Bioinformatics 9:392 10.1186/1471-2105-9-392 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Pires N., Dolan L. (2010). Origin and diversification of basic-helix-loop-helix proteins in plants. Mol. Biol. Evol. 27, 862–874 10.1093/molbev/msp288 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Poisson G., Chauve C., Chen X., Bergeron A. (2007). FragAnchor: a large-scale predictor of glycosylphosphatidylinositol anchors in eukaryote protein sequences by qualitative scoring. Genomics Proteomics Bioinformatics 5, 121–130 10.1016/S1672-0229(07)60022-9 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Popper Z. A., Michel G., Herve C., Domozych D. S., Willats W. G., Tuohy M. G., et al. (2011). Evolution and diversity of plant cell walls: from algae to flowering plants. Annu. Rev. Plant Biol. 62, 567–590 10.1146/annurev-arplant-042110-103809 [DOI] [PubMed] [Google Scholar]
- Qiu Y. L. (2008). Phylogeny and evolution of charophytic algae and land plants. J. Syst. Evol. 46, 287–306 10.3724/SP.J.1002.2008.080357608991 [DOI] [Google Scholar]
- Raven J. A. (1997). Miniview: multiple origins of plasmodesmata. Eur. J. Phycol. 32, 95–101 10.1080/09670269710001737009 [DOI] [Google Scholar]
- Rinne P. L., Welling A., Vahala J., Ripel L., Ruonala R., Kangasjarvi J., et al. (2011). Chilling of dormant buds hyperinduces FLOWERING LOCUS T and recruits GA-inducible 1,3-beta-glucanases to reopen signal conduits and release dormancy in Populus. Plant Cell 23, 130–146 10.1105/tpc.110.081307 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Scherp P., Grotha R., Kutschera U. (2001). Occurrence and phylogenetic significance of cytokinesis-related callose in green algae, bryophytes, ferns and seed plants. Plant Cell Rep. 20, 143–149 10.1007/s002990000301 [DOI] [PubMed] [Google Scholar]
- Schuette S., Wood A. J., Geisler M., Geisler-Lee J., Ligrone R., Renzaglia K. S. (2009). Novel localization of callose in the spores of Physcomitrella patens and phylogenomics of the callose synthase gene family. Ann. Bot. 103, 749–756 10.1093/aob/mcn268 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Slewinski T. L., Baker R. F., Stubert A., Braun D. M. (2012). Tie-dyed2 encodes a callose synthase that functions in vein development and affects symplastic trafficking within the phloem of maize leaves. Plant Physiol. 160, 1540–1550 10.1104/pp.112.202473 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Sorensen I., Pettolino F. A., Bacic A., Ralph J., Lu F., O'Neill M. A., et al. (2011). The charophycean green algae provide insights into the early origins of plant cell walls. Plant J. 68, 201–211 10.1111/j.1365-313X.2011.04686.x [DOI] [PubMed] [Google Scholar]
- Tamura K., Stecher G., Peterson D., Filipski A., Kumar S. (2013). MEGA6: Molecular Evolutionary Genetics Analysis version 6.0. Mol. Biol. Evol. 30, 2725–2729 10.1093/molbev/mst197 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Tardif M., Atteia A., Specht M., Cogne G., Rolland N., Brugiere S., et al. (2012). PredAlgo: a new subcellular localization prediction tool dedicated to green algae. Mol. Biol. Evol. 29, 3625–3639 10.1093/molbev/mss178 [DOI] [PubMed] [Google Scholar]
- Tian G. W., Mohanty A., Chary S. N., Li S., Paap B., Drakakaki G., et al. (2004). High-throughput fluorescent tagging of full-length Arabidopsis gene products in planta. Plant Physiol. 135, 25–38 10.1104/pp.104.040139 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Vaten A., Dettmer J., Wu S., Stierhof Y. D., Miyashima S., Yadav S. R., et al. (2011). Callose biosynthesis regulates symplastic trafficking during root development. Dev. Cell 21, 1144–1155 10.1016/j.devcel.2011.10.006 [DOI] [PubMed] [Google Scholar]
- Wojtkowiak A., Witek K., Hennig J., Jaskolski M. (2013). Structures of an active-site mutant of a plant 1,3-beta-glucanase in complex with oligosaccharide products of hydrolysis. Acta Crystallogr. D. Biol. Crystallogr. 69, 52–62 10.1107/S0907444912042175 [DOI] [PubMed] [Google Scholar]
- Zavaliev R., Levy A., Gera A., Epel B. L. (2013). Subcellular dynamics and role of Arabidopsis beta-1,3-glucanases in cell-to-cell movement of tobamoviruses. Mol. Plant Microbe Interact. 26, 1016–1030 10.1094/MPMI-03-13-0062-R [DOI] [PubMed] [Google Scholar]
- Zavaliev R., Ueki S., Epel B. L., Citovsky V. (2011). Biology of callose (beta-1,3-glucan) turnover at plasmodesmata. Protoplasma 248, 117–130 10.1007/s00709-010-0247-0 [DOI] [PMC free article] [PubMed] [Google Scholar]
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