Annotation and comparative analysis of the glycoside hydrolase genes in Brachypodium distachyon
- Ludmila Tyler1, 2,
- Jennifer N Bragg†1,
- Jiajie Wu†1, 3,
- Xiaohan Yang4,
- Gerald A Tuskan4 and
- John P Vogel1Email author
© Tyler et al; licensee BioMed Central Ltd. 2010
Received: 14 July 2010
Accepted: 25 October 2010
Published: 25 October 2010
Glycoside hydrolases cleave the bond between a carbohydrate and another carbohydrate, a protein, lipid or other moiety. Genes encoding glycoside hydrolases are found in a wide range of organisms, from archea to animals, and are relatively abundant in plant genomes. In plants, these enzymes are involved in diverse processes, including starch metabolism, defense, and cell-wall remodeling. Glycoside hydrolase genes have been previously cataloged for Oryza sativa (rice), the model dicotyledonous plant Arabidopsis thaliana, and the fast-growing tree Populus trichocarpa (poplar). To improve our understanding of glycoside hydrolases in plants generally and in grasses specifically, we annotated the glycoside hydrolase genes in the grasses Brachypodium distachyon (an emerging monocotyledonous model) and Sorghum bicolor (sorghum). We then compared the glycoside hydrolases across species, at the levels of the whole genome and individual glycoside hydrolase families.
We identified 356 glycoside hydrolase genes in Brachypodium and 404 in sorghum. The corresponding proteins fell into the same 34 families that are represented in rice, Arabidopsis, and poplar, helping to define a glycoside hydrolase family profile which may be common to flowering plants. For several glycoside hydrolase familes (GH5, GH13, GH18, GH19, GH28, and GH51), we present a detailed literature review together with an examination of the family structures. This analysis of individual families revealed both similarities and distinctions between monocots and eudicots, as well as between species. Shared evolutionary histories appear to be modified by lineage-specific expansions or deletions. Within GH families, the Brachypodium and sorghum proteins generally cluster with those from other monocots.
This work provides the foundation for further comparative and functional analyses of plant glycoside hydrolases. Defining the Brachypodium glycoside hydrolases sets the stage for Brachypodium to be a grass model for investigations of these enzymes and their diverse roles in planta. Insights gained from Brachypodium will inform translational research studies, with applications for the improvement of cereal crops and bioenergy grasses.
Glycoside hydrolases (GHs) are enzymes that hydrolyze the bond between a carbohydrate and another compound, such as a second carbohydrate, a protein, or a lipid . The Carbohydrate-Active Enzymes (CAZy) database categorizes GHs into at least 108 different families, defined by sequence similarity [1, 2]. GH genes are present in a wide range of organisms from archaea and bacteria to animals and plants. Not surprisingly, given plants' photosynthetic capacity and their carbohydrate-rich cell walls, plants contain a relative abundance of genes for carbohydrate-active enzymes, including GHs . Although experimental characterizations of plant GHs are limited, these enzymes have been assigned a broad array of functions. They are implicated in the defense against pathogens through attacks on the carbohydrate components of microbial cell walls, the mobilization of energy reserves through the degradation of starch, and hormone signaling through the cleavage of inactivating glycosyl groups from hormone conjugates, among many other processes . Some plant GHs are thought to function in the synthesis, remodeling, and degradation of plant cell walls [4–6]. Developmental events involving cell-wall loosening or degradation include cell expansion, seed germination, lateral root emergence, stomatal formation, xylem differentiation, pollen tube growth, and fruit ripening [7–10]. The recalcitrance, or resistance to degradation, of cell walls is a major obstacle to the efficient conversion of plant feedstocks into biofuels . Therefore, in addition to their roles in planta, GHs capable of modifying cell walls are also of interest for biofuel applications .
Here, we present the annotation and analysis of GH genes in the model grass species Brachypodium distachyon (referred to hereafter as Brachypodium). Brachypodium is a small annual in the grass subfamily the Pooideae. Brachypodium's short stature; simple growth requirements; amenability to genetic transformation; and compact, sequenced genome make Brachypodium a suitable research model for its less-tractable grass relatives [12–17]. Members of the grass family, the Poaceae, provide the majority of the world's food and feed. Key crops are included in the subfamilies Ehrhartoideae (rice), Panicoideae (maize and sorghum), and Pooideae (wheat, oat, and barley) . Increasingly, grasses are also being exploited for fuel: Species such as Miscanthus (Miscanthus × giganteus) and switchgrass (Panicum virgatum) are being investigated as dedicated energy crops for the production of biofuels [19, 20], and crop residues from maize, rice, and wheat may also be utilized as biomass feedstocks . With carbohydrates as major components of grains, fodder, and cellulosic biofuel feedstocks, a better understanding of carbohydrate-active enzymes in the grasses is needed.
Genome-wide analyses of GH genes have been previously published for one grass, Oryza sativa (rice) , and two dicotyledonous plants, the model species Arabidopsis thaliana (hereafter Arabidopsis)  and the fast-growing tree Populus trichocarpa (poplar) . Comparisons between Arabidopsis and rice or Arabidopsis and poplar have been used to draw conclusions about the evolutionary history of GHs or differences in the GH profiles of large plant groups. For example, Arabidopsis and rice GH28 family members were compared to estimate the number of GH28 genes in the common ancestor of these divergent species . Also, differences in the number of GHs between Arabidopsis and rice or poplar have been hypothesized to reflect differences in the GH profiles of dicotyledonous and monocotyledonous plants (Arabidopsis versus rice)  or herbaceous and woody plants (Arabidopsis versus poplar) . The sequencing of additional plant genomes allows such comparisons to be extended to more species, increasing the robustness of the analyses by reinforcing the conclusions or by identifying over-generalizations from pairwise comparisons. To improve our understanding of plant GHs generally and grass GHs specifically, we have annotated both the Brachypodium and Sorghum bicolor (sorghum) GHs and compared them to the GHs from rice, Arabidopsis, and poplar. When significant differences between the grasses and eudicots were identified, we broadened the analysis to include GHs from other species (maize, wheat, soybean, Medicago, castor bean, tomato, etc.) with significant, but variable, available sequence resources. This large-scale analysis will help guide research into this important group of enzymes.
Identification of Brachypodium GH genes
Rice and Arabidopsis GH protein sequences were retrieved from the CAZy database [1, 2] and used as queries in BLASTp searches  of the version 1.0 predicted proteome of Brachypodium, including splice variants . Additional files 1 and 2 list rice and Arabidopsis GH sequences, respectively. The E-value cut-off was set to 10-10. For GH families with no known rice or Arabidopsis representatives, the Brachypodium predicted proteome was searched using another, usually microbial, GH sequence selected from the CAZy list. Using the Pfam database [28, 29], each candidate Brachypodium GH was analyzed for the presence of a predicted GH domain. The Pfam domain predictions are listed in additional file 3. To further confirm GH family assignments, Brachypodium GH sequences were used as queries in tBLASTn searches against GenBank entries, March to May, 2009 . Each gene model was then individually examined using expressed sequence tag (EST), Illumina transcriptome, and splice-junction data, as well as predicted alternative transcripts, for Brachypodium (available at http://www.brachypodium.org) [27, 31]; relevant gene models from Arabidopsis and rice (accessible at http://mips.helmholtz-muenchen.de/proj/plant/jsf/brachypodium/index.jsp) [27, 32]; and Pfam domain predictions, to decide whether and how a Brachypodium gene model could be improved through manual modifications. The few Brachypodium GH models which were modified are indicated with an "m" beside the gene name in additional file 3. The modifications and modified sequences are listed in additional file 4.
To search for GH genes possibly omitted from the version 1.0 annotation, Brachypodium EST sequences, including Sanger and 454 sequencing reads as well as the TAU models built from Illumina short reads , were mapped onto the unmasked Brachypodium genome sequence  using BLAT  with a minimum identity of 92%. Only the "best match" position was selected as the genomic location for each query EST sequence. Gene models were then predicted using Augustus , with the genomic locations of the Brachypodium ESTs as extrinsic evidence. The protein sequences of predicted Brachypodium gene models were compared with Arabidopsis (version 8 ) and rice genome annotations (version 6 ) using BLASTp . For motif analysis, protein sequences were scanned for domains using blastprodom, coils, gene3d, hmmpanther, hmmpir, hmmpfam, hmmsmart, hmmtigr, fprintscan, patternscan, profilescan, and superfamily implemented in InterPro [38–41]. The resulting candidate GHs were individually evaluated, as described above, for possible improvements to the gene models. The GH genes identified in this analysis of the unmasked genome are noted in additional file 4. Protein sequences for all the Brachypodium GHs are listed in additional file 5.
Identification of sorghum GH genes
Sorghum GHs were identified in the same way, except that rice, Arabidopsis, and Brachypodium GH protein sequences were used as queries in BLASTp searches of the Sbi1_4 version (Sorbi1_GeneModels_Sbi1_4_aa.fasta.gz)  of the predicted proteome of sorghum . In contrast to the analysis performed for Brachypodium, sorghum GH gene models were not systematically evaluated for potential errors, nor did we search for GH genes not contained in the annotation. Additional files 6 and 7 list the sorghum GHs and their protein sequences.
Construction of phylogenetic trees
Full-length GH protein sequences from Arabidopsis, rice, Brachypodium, sorghum, and poplar were used as the basis for constructing phylogenetic trees. Arabidopsis and rice sequences were accessed through the CAZy database [1, 2]. Brachypodium and sorghum GH sequences were identified in this study, and poplar GH sequences were identified via BLASTp searches of the version 1.1 Populus proteome (proteins.Poptr1_1.JamboreeModels) [44, 45], using Arabidopsis and rice GH proteins as queries. GH sequences from additional species (maize, wheat, soybean, castor bean, grape, tomato, Medicago, strawberry, etc.) were later incorporated into selected trees. These additional sequences were either downloaded from the CAZy database, identified by querying GenBank [30, 46] from November of 2009 through May of 2010 with known GH sequences, or retrieved from the research literature. Sequences were aligned by ClustalW  using default parameters (a Gonnet protein weight matrix and gap-opening penalties of 10 and gap-extending penalties of 0.1 and 0.2 for pair-wise and multiple alignments, respectively) implemented in the MEGA4 program . The ClustalW alignments were manually examined and found to be highly accurate. Thus, no manual adjustments were made except for the elimination of entire proteins that appeared to be truncated or otherwise incorrectly annotated. Phylogenetic analyses were performed in MEGA4, using the Neighbor-Joining method  and 1,000 bootstrap replicates  for each analysis. Pairwise deletion was employed to address alignment gaps and missing data.
Results and discussion
Identification of Brachypodium and sorghum GHs
To identify candidate Brachypodium GHs, BLASTp searches  of the version 1.0 Brachypodium predicted proteome  were performed using rice and Arabidopsis GH sequences as queries. The resulting candidates were compared against the Pfam protein families database  to detect protein domains. Brachypodium proteins without predicted GH domains were removed from consideration, with the following exceptions: one Brachypodium GH33 and two GH95 members were considered to be GHs because the Pfam database does not contain a specific entry for either a GH33 or a GH95 domain. In these cases, we relied on the Brachypodium proteins' high sequence similarity to rice and Arabidopsis family members. Two of the five Brachypodium GH27 family members lacked a significant match to a Pfam GH domain but were nevertheless considered to be GHs because they are highly similar to rice and Arabidopsis GH27 family members which also lack a predicted Pfam GH domain. After modification of the gene model, one additional gene (Bradi1g27870) was determined to encode a GH16 protein. These analyses identified 340 Brachypodium GH genes. Since the version 1.0 annotation, based on a repeat-masked Brachypodium genomic sequence, was missing genes in other families, such as the F-box family , we also searched for Brachypodium GH genes in the unmasked genome, using an annotation pipeline based on transcriptome expression evidence as well as a protein domain search. This secondary search yielded an additional 16 Brachypodium GHs. In total, 356 Brachypodium genes in 34 GH families were identified; the full list is given in additional file 3. Protein sequences for the Brachypodium GHs are listed in additional file 5.
The gene models for all of the Brachypodium GHs were examined for possible improvements. Of the 356 GH gene models, 14 (3.9%) were modified based on criteria such as EST data and gene models from other species. Additional file 4 details the modifications and additions made to version 1.0 of the Brachypodium genome annotation. Nearly 80% of the Brachypodium GH genes were supported by EST and/or Illumina transcriptome data (additional file 3) . The limited changes compared to the version 1.0 annotation and the large proportion of genes with expression support testify to the high quality of the initial genome annotation.
Approximately 84% of identified Brachypodium GHs had good matches (E-value ≤ 10-100) in both rice and Arabidopsis (additional file 3). Another 14% of Brachypodium GHs matched both rice and Arabidopsis GH sequences with an E-value ≤ 10-10. Only 7 Brachypodium GHs - in the GH5, GH16, and GH18 families - were good matches to rice GHs but lacked clear Arabidopsis orthologs (additional file 3). As discussed below, these GH5 and GH18 sequences represent major clades which are missing in Arabidopsis. No Brachypodium GHs were found outside the families represented in rice and Arabidopsis, despite our queries using GHs from other organisms.
Comparisons to Arabidopsis and rice GHs
To compare GH profiles across plant species, we retrieved the numbers of GH family members in both Arabidopsis and rice from the CAZy database [1, 2]. The number of gene family members was updated as follows: one putative GH28 gene (At1g23470) was removed from the Arabidopsis list, because At1g23470 is annotated as a pseudogene in the most recent, TAIR9, release of the Arabidopsis genome . The number of rice genes in four families was reduced because several genes were listed multiple times. The GH5 gene Os10g0370800 was listed three times, the GH16 gene Os08g0240500 twice, and the GH17 gene Os01g0947000 twice. Two CAZy entries for the rice GH32 family [GenBank: AAD10239.1 and AAK72492.2] correspond to genes already included in the list; we therefore considered these entries to be duplicates. Also, two fragmentary rice sequences [GenBank: BAA01617.1 and BAG87724.1] were removed from the GH13 and GH36 families, respectively.
Overall, Brachypodium and sorghum have similar numbers of GHs as rice and Arabidopsis. The 356 GHs in Brachypodium represent 1.4% of the 25,532 predicted protein-coding genes , while the 404 GHs in sorghum correspond to 1.5% of the 27,640 protein-coding genes . This is in comparison to 390 GHs in Arabidopsis (1.4% of the 27,379 TAIR9 protein-coding genes)  and 414 GHs in rice (1.4% of the 30,192 RAP2 protein-coding genes) [51, 52].
Despite the global similarity in the total number of GHs, the number of members in individual GH families varies widely. For Arabidopsis, rice, Brachypodium, and sorghum, the number of GHs in each family is shown graphically in Figure 1 and numerically in additional file 8. Some families - e.g. GH2, 9, 10, 37, 43, 77, and 100 - contain similar numbers of members in each of the four species. In other families - e.g. GH1, 5, 13, 18, 19, 28, and 51 - the number of members differs by up to four-fold (Figure 1 and additional file 8). Previous studies have detected some of these differences. For example, the GH28 family of polygalacturonases is larger in Arabidopsis (66 genes) than rice (41 genes); conversely, the GH18 family of chitinases is much larger in rice (34 genes) than Arabidopsis (10 genes)  (Figure 1 and additional file 8). However, with such pairwise comparisons of species, it has been difficult to evaluate whether differences represent variation between major groups, such as dicots and monocots, or merely between the two species examined. For many GH families, the Brachypodium and sorghum data are largely consistent with those for rice. The identification of 41 GH28 members in Brachypodium and 38 in sorghum supports the idea that grasses contain fewer polygalacturonases than eudicots do. In other cases, such as the GH18 family, the trend breaks down: Arabidopsis, rice, Brachypodium, and sorghum have 10, 34, 14, and 25 GH18 genes, respectively (Figure 1 and additional file 8). This observation highlights the danger of making large taxonomic generalizations based on pairwise comparisons.
The unusually high number of GH genes reported for poplar (600 genes)  complicates global comparisons with other species; some of the poplar gene models may actually be annotation artifacts arising from the heterozygous nature of the large, complex, and duplicated poplar genome. Whereas multiple rounds of computational and manual improvements have resulted in high-quality Arabidopsis and rice gene models [35, 36, 52], the sorghum and poplar models are "first drafts" derived from computational predictions, gene homology, and expression data [43, 45]. Future refinements of the sorghum and poplar gene models may therefore alter the number of GHs, as well as the corresponding protein sequences, in these species. In fact, while cataloging carbohydrate-active enzymes in poplar, Geisler-Lee et al. found that some models were fragmentary and should be merged into larger genes .
For detailed analyses of specific GH families, poplar sequences were retrieved via BLASTp searches of the version 1.1 Populus proteome with Arabidopsis and rice GH proteins as queries. The searches yielded non-identical, although largely overlapping, sets of poplar GH candidates. For example, poplar reportedly has 22 GH5 family members, identified via BLAST searches using all entries in the CAZy database . Our searches of the poplar proteome using the Arabidopsis GH sequences identified 17 poplar GH5s; searches using the rice GHs identified an additional 5 poplar GH5 proteins, for a total of 22. These results are consistent with the finding of Tuskan et al. that almost 12% of predicted poplar genes did not have clear orthologs in Arabidopsis.
Poplar was not known to have any members in the GH33 and GH85 families . Although the GH33 and GH85 families are small, with one to two members each in Arabidopsis, rice, Brachypodium, and sorghum (Figure 1 and additional file 8), it was surprising that poplar would completely lack representatives of these families. Interestingly, our searches identified one poplar GH33 gene (Poptr825914) and three poplar GH85 genes (Poptr226914, Poptr226918, and Poptr419935). (See the additional file 9 for the full gene names and sequences.) The poplar GH33 was an especially good match - with an E- value of 10-147 - to the rice GH33, Os07g0516000. The Pfam database does not list a specific GH33 domain, and, correspondingly, Poptr825914 and the GH33 family members in Arabidopsis, rice, Brachypodium, and sorghum do not have any significant matches to Pfam GH domains. However, analyzing the Poptr825914 protein with the InterProScan feature of the InterPro database  identified a sialidase domain, which is characteristic of the GH33 family . The three poplar GH85 proteins, Poptr226914, Poptr226918, and Poptr419935, were all retrieved as matches to Arabidopsis and rice GH85 sequences, and all contain a characteristic, Pfam-predicted Glycosyl hydrolase family 85 domain.
The identification of GH33 and GH85 members in poplar means that poplar has the same GH families which are present in Arabidopsis, rice, Brachypodium, and sorghum. The presence of these families in five, diverse flowering plant species, combined with the apparent absence of plant sequences from other families, suggests that these 34 GH families are common to angiosperms.
To further elucidate the relationships between plant GHs, we selected several families for phylogenetic analyses. Full-length protein sequences from five species - Arabidopsis, rice, Brachypodium, sorghum, and poplar - served as the basis for building phylogenetic trees. Making the trees with full-length sequences allowed all the information contained in the protein sequences to contribute to the phylogenetic placement of the genes. To be sure that this overall evolutionary history agreed with the GH domain alone, we also constructed trees based only on the GH domains (not shown). For the GH18, GH19, GH5, GH28, and GH13 families, the domain-only trees had the same structure as the trees based on the full-length sequences. For the GH51 family, the bootstrap values in the domain-only tree were too low to be informative for distinguishing the highly-similar sequences. Thus, in this case, the sequence outside the GH domain was crucial for teasing out the relationship between the proteins. To enrich the investigation, sequences from other organisms were included for some of the GH families. These evolutionary analyses, performed with the MEGA4 program , emphasize comparisons between eudicots and grasses, especially the model plants Arabidopsis and Brachypodium.
The GH18 and 19 families
Chitin, a long-chain polymer of beta-1,4-N-acetyl-D-glucosamine (GlcNAc) linkages, is the second-most-abundant carbohydrate in nature after cellulose. It forms the major component of fungal cell walls and is also found in the exoskeletons of insects and shells of mollusks . Chitinases are enzymes that break down chitin by hydrolyzing this polysaccharide into simple sugars, and chitinolytic enzymes have been identified in viruses, bacteria, fungi, protozoan parasites, insects, animals, and plants [1, 30]. Chitin is not synthesized in plants. However, expression of several plant chitinases is induced by pathogen challenge, and these proteins make up five of the seventeen families of plant pathogenesis-related (PR) proteins: PR2, PR3, and PR4 are GH19 family members, and PR8 and PR11 are GH18 family members [4, 54]. This implicates chitinases as key plant-defense proteins. Numerous studies have demonstrated that chitinases have both antifungal and antibacterial activities [55–61]. Environmental stresses such as drought, salinity, frost, wounding and osmotic pressure also can induce chitinase expression in plants. Other studies suggest that chitinases likely play a role in growth, development, and the generation or degradation of signaling molecules [62–66]. Nod factors produced by nitrogen-fixing soil bacteria include chitin oligomers of four or five N-acetyl glucosamine residues that can be cleaved and inactivated by specific plant chitinases, revealing a role for these proteins in symbiosis. It is not surprising, then, that plant genomes contain a large number of chitinase genes, the majority of which are classified in the GH18 and GH19 families. Together these two families comprise 24 genes in Brachypodium, 42 in sorghum, 50 in rice, 24 in Arabidopsis and 56 in poplar (additional files 8 and 9).
The GH18 family
Despite shared chitinolytic activity, the GH18 and GH19 families do not share sequence similarity. The two families are clearly distinguished by their sequences and three-dimensional structures, indicating they are derived from different ancestral genes. The GH18 and GH19 plant chitinases are further divided into seven classes (I-VII) based on amino acid sequence and the presence or absence of auxiliary domains flanking a catalytic domain [67, 68]. The GH18 family includes the class III and class V chitinases that are more closely related to fungal enzymes involved in morphogenesis (class III) and bacterial exochitinases (class V) than they are to GH19 proteins . The GH18 domain is an eight-stranded β/α barrel with a pronounced active-site cleft at the C-terminal end of the β-barrel and a conserved DXXDXDXE motif [69, 70]. GH18 class III chitinases can have dual lysozyme and chitinase functions, and these dual-function proteins tend to be better-targeted at murein in bacterial cell walls than the other classes of chitinases . The GH18 family also includes a number of "inactivated" chitinases which represent evolutionary adaptations that recruit the ancient and stable GH18 scaffold to novel functions. These include GH18 xylanase inhibitor proteins (XIPs) that lack chitinolytic activity but have adapted a new defense mechanism targeting the pathogen-produced GH10 and GH11 xylanases that degrade arabinoxylans in plant cell walls [69, 71]. Nodulins, involved in interactions with symbiotic bacteria, as well as narbonins and concanavalin B, seed proteins lacking conserved catalytic residues, also group within the GH18 family [67, 69].
GH18 class III chitinases are divided between the remaining three clades of the tree. Initially, we aligned sequences from Brachypodium, rice, sorghum, Arabidopsis, and poplar, and in the analysis of these data, two clades comprised only grass sequences (data not shown). These sequences were used to query the NCBI (National Center for Biotechnology Information) non-redundant protein sequence database  in order to expand the number of species represented. The retrieved proteins from both monocot and eudicot species were used in combination with the original set to construct a new tree. The majority of the retrieved eudicot sequences aligned with the sequences in the class IIIa group that contains the only Arabidopsis class III protein. In this clade, the monocot and dicot sequences are mixed, rather than forming two distinct groupings as seen for the class V proteins (Figure 2).
The class IIIb clade in Figure 2 was proposed by Suzukawa et al. (2003)  in studies of a tulip-bulb chitinase and was also used by Shoresh and Harmon (2008)  to describe a group of maize GH18 proteins. In our original tree, this group contained only monocot sequences; yet it is closely related to the GH18 narbonin and nodulin-like proteins. Narbonin is a globulin protein from the eudicot Vicia narbonensis that lacks conserved chitinase catalytic residues and enzymatic activity. In legumes such as fava bean and soybean, nodulins are induced in response to signals generated by symbiotic bacteria. These are eudicot species, and therefore, it was apparent that we needed to expand our dataset to get a better understanding of the proteins that cluster with the narbonin and nodulin proteins and the neighboring class IIIb group. A BLASTp search retrieved a variety of eudicot sequences that group within the IIIb clade. Soresh and Harmon had compared maize sequences only to rice, tulip, and Arabidopsis and concluded that class IIIb is monocot-specific, because the only dicot considered, Arabidopsis, did not have a representative in the IIIb group. Our original tree included poplar, which also lacks a class IIIb protein. However, the presence of several eudicot class IIIb sequences in our expanded tree (Figure 2 and additional file 10) illustrates the need for caution when drawing conclusions based on data from a few species. The narbonin and nodulin nucleotide sequences do not encode predicted signal peptides. In their analysis of one tulip, two rice, and three maize class IIIb proteins, Soresh and Harmon reported that these sequences also lack signal peptides. We used Signal P and Sig-Pred software to evaluate signal peptide predictions for the Brachypodium and sorghum GH18 proteins and found that the Bradi3g26840, Bradi3g26850, and Sb5g006880 sequences in the class IIIb clade lack predicted signal peptides. However, the class IIIb proteins Bradi3g26810 and Sb01g21920, as well as all of the other Brachypodium and sorghum GH18 proteins, do contain predicted signal peptides.
The functional adaptations within the GH18 family highlight the challenges of assigning protein functions based solely on sequence similarities. Numerous studies have been performed to identify the targets of class III chitinases. Chitinases have different substrate specificities, activities, reaction mechanisms, and expression patterns. Activity and substrate specificity are diverse even among identical classes of enzymes. For example, two of the rice class IIIb proteins, Os10g0416500 and Os10g0416800, have highly similar sequences. Yet Os10g0416500 is expressed in response to pathogen challenge and has substantial antifungal activity, whereas Os10g0416800 is expressed in response to environmental stresses . Through the comparison of increasing numbers of chitinase sequences, however, new groups emerge, such as the class IIIa-XIP proteins, and functional predictions based on sequence patterns begin to become possible.
The GH19 family
The GH19 family is found primarily in plants, but members have been identified in a number of bacteria and in nematodes . Analyses of GH19 proteins reveal structural similarities with lysozymes, despite a lack of significant sequence similarity, and suggest that these two enzyme groups arose from a common ancestor originating before the divergence of prokaryotes and eukaryotes . The chitinase classes represented in the GH19 family (I, II, IV, VI, and VII) are distinguished by characteristic small deletions in the sequence and by the presence of auxiliary domains flanking the main catalytic domain, including a cysteine-rich chitin-binding domain (CRD or CBD), a proline- and glycine-rich hinge region, and a carboxy-terminal extension (CTE) [55, 67, 74].
Each clade of the GH19 family contains at least one representative from all five species analyzed; however, the grass and eudicot sequences group as separate clusters within the clades (Figure 4 and additional file 12). The difference in the number of genes between species is primarily due to localized, tandem duplications of sequences within the two larger clades. Three good examples are the five Arabidopsis genes (At2g43580, At2g43590, At2g43600, At2g43610, and At2g43620); six sorghum genes (Sb06g021210, Sb06g021220, Sb06g021230, Sb06g021240, Sb06g021250, and Sb06g021260); and four poplar genes (Poptr249950, Poptr547380, Poptr249966, and Poptr826290) present in the class IV clade. Additionally, the clade with mixed class I and II sequences shows expansions in two Brachypodium regions (Bradi1g29880 and Bradi1g29890, as well as Bradi2g47190 and Bradi2g47210); one poplar region (Poptr557015, Poptr557013, Poptr649160, Poptr72170, Poptr 72160, Poptr649163, and Poptr200449); and two rice regions (Os05g0399300, Os05g0399400, and Os05g0399700, as well as Os06g726100 and Os06g726200). One possible explanation for this observation is proposed by Bishop et al. as a result of their analyses of the PR proteins represented by the GH19 class I chitinases . These researchers observed that the GH19 proteins disproportionately accumulate adaptive mutations in the active-site cleft. This unusual pattern of mutation is not shared by chitinases of the GH18 family, suggesting that adaptive functional modifications rapidly emerge as a result of direct pathogen defense against plant chitinolytic activity. This plant-pathogen coevolution of GH19 genes could be facilitated by the observed gene duplications: Mutations in the additional gene copies could confer adaptive advantages in the face of attacks by a variety of pathogens.
The GH5 family
The GH5 family, previously named cellulase family A, includes plant-cell-wall-modifying enzymes such as cellulases, mannanases, and β-glucosidases [1, 2, 4, 5]. The enzymatic activities of a few plant GH5 members have been characterized. One of these is HvMAN1, a mannanase (EC 18.104.22.168) from barley (Hordeum vulgare) . Purified from 10-day-old seedlings, HvMAN1 exhibited relatively high rates of hydrolysis on moderately substituted galactomannan and unsubstituted glucomannan substrates . Another mannanase, LeMAN4a, expressed in ripenning tomato (Solanum lycopersicon, syn. Lycopersicon esculentum), was also cloned, its endo- β-D-mannanase activity confirmed in an in vitro assay, and its structure solved [78, 79]. RNA-mediated suppression of LeMAN4a expression slightly increased the firmness of ripening tomato fruits, suggesting that LeMAN4a plays a supporting role in fruit softening . The rice GH5BG gene (Os10g0370500) encodes a GH5 family β-glucosidase that is expressed in the shoots of seedlings and leaf sheaths of adult plants . Salt stress, submergence, and the stress hormones methyl jasmonate and abscisic acid induced the expression of GH5BG, hinting at a possible connection between GH5BG-mediated cell-wall remodeling and responses to environmental conditions .
The GH28 family
The GH28 family includes polygalacturonases, which act on pectin [1, 2, 4]. Pectin consists of carbohydrate polymers (e.g. homogalacturonans and rhamnogalacturonans) rich in galacturonic acid . Pectin is a major component of the middle lamella connecting adjacent plant cells to each other [9, 82]. In eudicots such as Arabidopsis, pectin is also abundant in primary cell walls, where it forms a matrix surrounding the network of cellulose and hemicellulose [82, 83]. GH28 polygalacturonases have been implicated in the reduction of cell-to-cell adhesion and the remodeling of cell walls, contributing to developmental processes such as pollen development, organ abscission, and fruit ripening [4, 9, 84]. For instance, loss-of-function mutations in the Arabidopsis GH28 family member At3g07970 - also known as QUARTET2 (QRT2) - result in the production of tetrad pollen, caused by the failure of the four microspores to separate following meiosis [84, 85]. QRT2 and the related genes ARABIDOPSIS DEHISCENCE ZONE POLYGALACTURONASE1 and 2 (ADPG1 and ADPG2) are all involved in anther dehiscence, a cell-separation process which allows for pollen release . QRT2 and ADPG2 (At2g41850) both contribute to floral-organ shedding [84, 86]; ADPG1 (At3g57510) and ADPG2 together promote the dehiscence of seed pods . In vitro biochemical assays have confirmed the polygalacturonase activity of ADPG1, ADPG2, and the protein encoded by another GH28 family member, At1g48100 . Twenty years ago, in tomato, it was shown that suppressing the expression of an endogenous polygalacturonase with antisense RNA inhibited the degradation of pectin during fruit ripening [87, 88]. Since then, the importance of polygalacturonase activity in the ripening of many other fruits has also been demonstrated .
Both tandem and whole-genome duplications have contributed to the presence of a relatively large number of GH28 genes in Arabidopsis compared to rice [22, 25]. The type I cell walls of dicots contain much higher levels of pectin than the type II walls of grasses , and it has been proposed that the increased number of GH28s in Arabidopsis reflects a greater need for pectin-active enzymes . Consistent with this hypothesis, maize (Zea mays) was recently reported to have 16 fewer GH28 genes than Arabidopsis, even though the maize genome is an order of magnitude larger and contains ~19% more protein-coding genes [91, 92]. Our identification of 41 GH28 family members in Brachypodium and 38 in sorghum reinforces the conclusion that grasses have smaller numbers of polygalacturonase genes (Figure 1 and additional file 8). Although small compared to Arabidopsis, the GH28 family in each of the grasses still consists of a substantial number of genes, possibly reflecting enzymatic functions associated with the pectin-rich middle lamella and the role of pectin during cell division.
As has been noted previously , the increased number of GH28 genes in Arabidopsis appears to be due to expansion within groups, rather than the creation of entirely novel, eudicot-specific groups (Figure 6). For example, Group G and the less-cohesive Group E contain noticeably more Arabidopsis than Brachypodium members. There are, nevertheless, eudicot- and grass-specific clades; these include the eudicot-specific Group F and the grass-specific Group H recognized by Penning et al. (Figure 6). In our analysis, Groups F and H have strong bootstrap support, 99 and 100%, respectively. These two groups also form part of a larger Group E/F/H, which is supported by 96% of 1,000 bootstrap replicates (Figure 6 and additional file 14).
A tree constructed from Arabidopsis, rice, and maize sequences had indicated that Group B is "Arabidopsis only" . In our larger tree with additional sequences from Brachypodium, sorghum, and poplar, Group B was loosely clustered (50% bootstrap support) and contained one GH28 each from Brachypodium and sorghum (Figure 6 and additional file 14). Additionally, a tBLASTn search with the Brachypodium Group B member, Bradi5g18370, identified a wheat cDNA [GenBank: AK330487.1, E-value = 2-119] predicted to encode a protein with a GH28 domain. The presence of Brachypodium and sorghum sequences in Group B and the identification of a related wheat sequence suggest that monocots are under-represented in, rather than absent from, the GH28 Group B.
A further distinction between the three-species GH28 tree of Penning et al. and the six-species tree presented here is the presence - in the larger tree - of a small, but very-well-supported, grass-specific clade comprised of two Brachypodium, one rice, and one sorghum sequence (indicated with an asterisk in Figure 6). Both of the Brachypodium genes, Bradi2g04520 and Bradi2g04550, have EST and Illumina transcriptome data supporting their expression. When the four grass sequences in this clade were used as queries in tBLASTn searches of GenBank, matches from five additional species (grape, castor bean, oilseed rape, avacado, and white spruce) were retrieved. However, none of these additional sequences fell into the same clade as the query sequences; this result is consistent with the apparent absence of the clade from species outside the Poaceae. As more genomes are sequenced and analyzed, it will be interesting to determine how widely distributed this clade actually is and whether it has a specialized function.
The GH51 family
The GH51 family includes α-L-arabinofuranosidases, which cleave terminal, non-reducing α-L-arabinofuranose residues from arabinose-containing compounds . The pectic polysaccharide rhamnogalacturonan I, found in dicot primary cell walls, and glucuronoarabinoxylan (GAX), the predominant hemicellulose in grass primary cell walls, both contain terminal arabinose residues in their side chains [82, 83, 89]. Correspondingly, GH51 family members are implicated in plant-cell-wall remodeling . The barley GH51 protein AXAH-I, for example, released arabinose from sugar beet arabinan, wheat arabinoxylan, and larch wood arabinogalactan . In contrast to barley AXAH-I, some GH51 members are bi-functional enzymes, exhibiting both α-L-arabinofuranosidase and β-D-xylosidase activities. Arabidopsis ARAF1, for instance, exhibits a preference for arabinose-containing substrates but can release both L-arabinose and D-xylose from wheat and rye arabinoxylan .
Arabinosidases have received particular attention for their contributions to pectin degradation during fruit ripening: while GH28 polygalacturonases cleave the pectin backbone, arabinosidases degrade pectin side chains . During strawberry (Fragaria × ananassa) fruit development, α-L-arabinofuranosidase activity is prominent; in a comparison of two strawberry cultivars, the softer fruit of one cultivar also had higher α-L-arabinofuranosidase specific activity and higher transcript levels for three arabinofuranosidase genes, FraAra1, 2, and 3. Expression of GH51 family members is not, however, limited to fruits. The peach ARF1 gene, although initially identified based on its activity in fruit, is also expressed in leaves and roots .
Arabidopsis ARAF1 (At3g10740 or ASD1) is similarly broadly expressed, with ARAF1 transcripts detectable in roots, rosettes, stems, flowers, and siliques . Analyses of plants transformed with an ARAF1-promoter-driven reporter indicated that ARAF1 is specifically expressed in tissues such as emerging lateral roots; the primary and developing secondary xylem of mature roots; the vasculature of cotyledons and leaves; and the phloem, cambium, and guard cells of the stem [97, 98]. ARAF1 enzymatic activity is higher in young, growing stems than in mature stems, consistent with a possible cell-wall-remodeling function for ARAF1 . Inmmunolocalization assays with the LM6 antibody, which binds arabinan epitopes, revealed localized increases in signal intensity in mutant araf1 stem and root tissues compared to the wild-type . Conversely, wild-type stem sections exhibited markedly reduced signal intensity upon treatment with partially purified ARAF1 . Together, these results suggest that ARAF1 acts on endogenous arabinose-containing polysaccharides in these tissues .
The GH13 family
The GH13 family is well-known as the α-amylase family . It encompasses most of the starch-modifying enzymes with a wide range of substrate specificities and catalytic activities, such as α-amylases, pullulanases, isoamylases, cyclomaltodextrin glucanotransferases (CGTases), and branching enzymes [99, 100]. Starch is the main component of cereal seeds and provides up to 80% of the calories consumed by humans. In addition, ethanol produced from starch is used as a transportation fuel . Based on an analysis of catalytic domains, the GH13 family has been divided into 35 subfamilies, most of which represent a single catalytic activity; in those subfamilies with more than one catalytic activity, the activities are closely related . Crystal structures have been reported for many GH13 family proteins. They have three conserved domains: domain A is the N-terminal, catalytic, (β/α)8 -barrel domain; domain B is a loop inserted in domain A; and domain C is a C-terminal, β-sandwich domain [99, 102, 103].
α-amylases (EC 22.214.171.124) are the best-studied of the GH13 enzymes, due to their wide industrial use. α-amylases catalyze the hydrolysis of internal α-D-(1,4)-glucosidic linkages in starch (amylose and amylopectin), glycogen, and related oligo- and polysaccharides, releasing maltodextrins, maltooligosaccharides and glucose . There are three α-amylase genes (AtAmy1-3) in Arabidopsis, and they represented three groups in previous phylogenetic analyses of α-amylase proteins from multiple species [104, 105]. The AtAmy1 (At4g25000) protein contains a signal sequence and was predicted to enter the secretory pathway, AtAmy3 (At1g69830) was identified as plastid-targeted, and AtAmy2 (At1g76130) does not appear to be targeted to any particular compartment of the cell . Each enzyme is believed to have a different role in plants, given the putative subcellular localizations . In our phylogenetic tree (Figure 8), the α-amylase clade is divided into two groups. One group containing AtAmy1 (At4g25000) includes a relatively large number of grass sequences. It has only 1 Arabidopsis and 3 poplar members, but 3 Brachypodium, 8 rice, and 9 sorghum members. Most of the additional rice and sorghum sequences are in clusters within the genome, indicating that the gene expansion was due to recent, local duplication, which is common for plant glycosidase- and glycosyltransferase-related genes . The other group clusters AtAmy2 and AtAmy3 together with representatives from other species into two separate subgroups. Based on predictions of the TargetP program  (data not shown), these α-amylase genes, except two sorghum genes (Sb02g026625 and Sb03g032830) and two poplar genes (Poptr259394 and Poptr231366), encode proteins with the same subcellular location as the Arabidopsis member in the same group or subgroup.
Branching enzymes catalyze the formation of branch points by cleaving the α-1,4 linkage in polyglucans and reattaching the chain via an α-1,6-glucan linkage; conversely, debranching enzymes directly hydrolyze the α-1,6-glucosic linkages of polyglucans . They are involved in starch biosynthesis in the cereal endosperm  and affect the eating and cooking quality of rice . In the phylogenetic tree (Figure 8 and additional file 16), the branching and debranching enzymes form two clades. Each member is well-conserved between different species, except that poplar lacks one isoamylase and Arabidopsis lacks one branching enzyme representative (Figure 8). The presence of both grass and eudicot sequences in each of the major clades and most of the subclades of the GH13 family likely reflects the key roles of starch-modifying enzymes in plants.
A decade ago, phylogenetic trees for plant GHs primarily showed that a handful of plant enzymes were more closely related to each other than to their bacterial counterparts. Since then, genome sequencing efforts have uncovered many more plant GH genes, whose cataloging can build the foundation for detailed functional studies. Now, with the availability of genome-wide analyses of GHs in Arabidopsis, rice, poplar, Brachypodium, and sorghum, it is possible to examine evolutionary histories and hypothesize about orthologous relationships within plant GH families. Our analysis showed that, while all angiosperms likely possess members of the same 34 GH families, there are significant differences between monocots and eudicots in the relationships within these families. These differences probably arose in part because of the compositional differences between grass and eudicot cell walls. However, by including additional species in our comparisons, we determined that several clades of GHs previously thought to contain only monocot or dicot proteins do, in fact, contain GHs from both eudicots and monocots. This highlights the importance of examining several species before making broad generalizations.
By defining the complement of Brachypodium GH genes, we set the stage for Brachypodium to be used as a grass model for investigations of the GHs and their diverse, associated functions. As with the eudicot model Arabidopsis, forward and reverse genetics combined with the phenotypic characterizations possible in a small, rapidly growing plant will help elucidate the in planta roles of GHs. Insights gained from Brachypodium will inform translational research studies, with applications for the improvement of cereal crops and bioenergy grasses.
cysteine-rich chitin-binding domain
expressed sequence tag
National Center for Biotechnology Information
xylanase inhibitor protein
The authors thank James Thomson of the Western Regional Research Center, USDA, for assistance checking Brachypodium gene models. This work was supported by USDA CRIS project 5325-21000-017-00 and by the Office of Science (BER), U. S. Department of Energy, Interagency Agreement No. DE-AI02-07ER64452.
- Cantarel BL, Coutinho PM, Rancurel C, Bernard T, Lombard V, Henrissat B: The Carbohydrate-Active EnZymes database (CAZy): an expert resource for Glycogenomics. Nucleic Acids Res. 2009, D233-238. 10.1093/nar/gkn663. 37 Database
- The Carbohydrate-Active Enzymes Database. [http://www.cazy.org]
- Coutinho PM, Stam M, Blanc E, Henrissat B: Why are there so many carbohydrate-active enzyme-related genes in plants?. Trends Plant Sci. 2003, 8 (12): 563-565. 10.1016/j.tplants.2003.10.002.PubMedView Article
- Minic Z: Physiological roles of plant glycoside hydrolases. Planta. 2008, 227 (4): 723-740. 10.1007/s00425-007-0668-y.PubMedView Article
- Lopez-Casado G, Urbanowicz BR, Damasceno CM, Rose JK: Plant glycosyl hydrolases and biofuels: a natural marriage. Curr Opin Plant Biol. 2008, 11 (3): 329-337. 10.1016/j.pbi.2008.02.010.PubMedView Article
- Minic Z, Jouanin L: Plant glycoside hydrolases involved in cell wall polysaccharide degradation. Plant Physiol Biochem. 2006, 44 (7-9): 435-449. 10.1016/j.plaphy.2006.08.001.PubMedView Article
- Szymanski DB, Cosgrove DJ: Dynamic coordination of cytoskeletal and cell wall systems during plant cell morphogenesis. Curr Biol. 2009, 19 (17): R800-811. 10.1016/j.cub.2009.07.056.PubMedView Article
- Roberts JA, Elliott KA, Gonzalez-Carranza ZH: Abscission, dehiscence, and other cell separation processes. Annu Rev Plant Biol. 2002, 53: 131-158. 10.1146/annurev.arplant.53.092701.180236.PubMedView Article
- Prasanna V, Prabha TN, Tharanathan RN: Fruit ripening phenomena--an overview. Crit Rev Food Sci Nutr. 2007, 47 (1): 1-19. 10.1080/10408390600976841.PubMedView Article
- Turner S, Gallois P, Brown D: Tracheary element differentiation. Annu Rev Plant Biol. 2007, 58: 407-433. 10.1146/annurev.arplant.57.032905.105236.PubMedView Article
- Himmel ME, Ding SY, Johnson DK, Adney WS, Nimlos MR, Brady JW, Foust TD: Biomass recalcitrance: Engineering plants and enzymes for biofuels production. Science. 2007, 315 (5813): 804-807. 10.1126/science.1137016.PubMedView Article
- Draper J, Mur LAJ, Jenkins G, Ghosh-Biswas GC, Bablak P, Hasterok R, Routledge APM: Brachypodium distachyon. A new model system for functional genomics in grasses. Plant Physiol. 2001, 127 (4): 1539-1555. 10.1104/pp.010196.PubMed CentralPubMedView Article
- Vogel JP, Garvin DF, Leong OM, Hayden DM: Agrobacterium-mediated transformation and inbred line development in the model grass Brachypodium distachyon. Plant Cell Tiss Org Cult. 2006, 85: 199-211.View Article
- Vogel J, Hill T: High-efficiency Agrobacterium-mediated transformation of Brachypodium distachyon inbred line Bd21-3. Plant Cell Reports. 2008, 27 (3): 471-478. 10.1007/s00299-007-0472-y.PubMedView Article
- Vain P, Worland B, Thole V, McKenzie N, Alves SC, Opanowicz M, Fish LJ, Bevan MW, Snape JW: Agrobacterium-mediated transformation of the temperate grass Brachypodium distachyon (genotype Bd21) for T-DNA insertional mutagenesis. Plant Biotechnol J. 2008, 6 (3): 236-245. 10.1111/j.1467-7652.2007.00308.x.PubMedView Article
- Vogel J, Bragg J: Brachypodium distachyon, a new model for the Triticeae. Genetics and genomics of the Triticeae. Edited by: Feuillet C, Muehlbauer GJ. 2009, Springer, 427-449. full_text.View Article
- International Brachypodium Initiative: Genome sequencing and analysis of the model grass Brachypodium distachyon. Nature. 2010, 463 (7282): 763-768. 10.1038/nature08747.View Article
- Kellogg EA: Evolutionary history of the grasses. Plant Physiol. 2001, 125 (3): 1198-1205. 10.1104/pp.125.3.1198.PubMed CentralPubMedView Article
- Dohleman FG, Long SP: More productive than maize in the Midwest: How does Miscanthus do it?. Plant Physiol. 2009, 150 (4): 2104-2115. 10.1104/pp.109.139162.PubMed CentralPubMedView Article
- DOE (ed.): Historical perspective on how and why switchgrass was selected as a "model" high-potential energy crop. 2007, U.S. Department of Energy, Oak Ridge National Laboratory, Environmental Sciences Division
- DOEU, SDA (eds.): Biomass as feedstock for a bioenergy and bioproducts industry: the technical feasibility of a billion-ton annual supply. U.S. Department of Energy, Oak Ridge National Laboratory; 2005
- Yokoyama R, Nishitani K: Genomic basis for cell-wall diversity in plants. A comparative approach to gene families in rice and Arabidopsis. Plant Cell Physiol. 2004, 45 (9): 1111-1121. 10.1093/pcp/pch151.PubMedView Article
- Henrissat B, Coutinho PM, Davies GJ: A census of carbohydrate-active enzymes in the genome of Arabidopsis thaliana. Plant Mol Biol. 2001, 47 (1-2): 55-72. 10.1023/A:1010667012056.PubMedView Article
- Geisler-Lee J, Geisler M, Coutinho PM, Segerman B, Nishikubo N, Takahashi J, Aspeborg H, Djerbi S, Master E, Andersson-Gunneras S: Poplar carbohydrate-active enzymes. Gene identification and expression analyses. Plant Physiol. 2006, 140 (3): 946-962. 10.1104/pp.105.072652.PubMed CentralPubMedView Article
- Kim J, Shiu SH, Thoma S, Li WH, Patterson SE: Patterns of expansion and expression divergence in the plant polygalacturonase gene family. Genome Biol. 2006, 7 (9): R87-10.1186/gb-2006-7-9-r87.PubMed CentralPubMedView Article
- Altschul SF, Madden TL, Schaffer AA, Zhang J, Zhang Z, Miller W, Lipman DJ: Gapped BLAST and PSI-BLAST: a new generation of protein database search programs. Nucleic Acids Res. 1997, 25 (17): 3389-3402. 10.1093/nar/25.17.3389.PubMed CentralPubMedView Article
- Vogel JP, Garvin DF, Mockler TC, Schmutz J, Rokhsar D, Bevan MW, Barry K, Lucas S, Harmon-Smith M, Lail K: Genome sequencing and analysis of the model grass Brachypodium distachyon. Nature. 2010, 463 (7282): 763-768. 10.1038/nature08747.View Article
- Finn RD, Mistry J, Tate J, Coggill P, Heger A, Pollington JE, Gavin OL, Gunasekaran P, Ceric G, Forslund K: The Pfam protein families database. Nucleic Acids Res. 2010, D211-222. 10.1093/nar/gkp985. 38 Database
- Coggill P, Finn RD, Bateman A: Identifying protein domains with the Pfam database. Curr Protoc Bioinform. 2008, 23: 2.5.1-2.5.17.
- Benson DA, Karsch-Mizrachi I, Lipman DJ, Ostell J, Wheeler DL: GenBank. Nucleic Acids Res. 2008, D25-30. 36 Database
- The Brachypodium distachyon Information Resource. [http://www.brachypodium.org]
- The MIPS Brachypodium Genome Database. [http://mips.helmholtz-muenchen.de/proj/plant/jsf/brachypodium/index.jsp]
- Kent WJ: BLAT--the BLAST-like alignment tool. Genome Res. 2002, 12 (4): 656-664.PubMed CentralPubMedView Article
- Stanke M, Schoffmann O, Morgenstern B, Waack S: Gene prediction in eukaryotes with a generalized hidden Markov model that uses hints from external sources. BMC Bioinform. 2006, 7: 62-10.1186/1471-2105-7-62.View Article
- The Arabidopsis Information Resource. [http://www.arabidopsis.org]
- The Rice Genome Annotation Project. [http://rice.plantbiology.msu.edu]
- Altschul SF, Madden TL, Schaffer AA, Zhang J, Zhang Z, Miller W, Lipman DJ: Gapped BLAST and PSI-BLAST: a new generation of protein database search programs. Nucleic Acids Res. 1997, 25 (17): 3389-3402. 10.1093/nar/25.17.3389.PubMed CentralPubMedView Article
- Mulder NJ, Apweiler R, Attwood TK, Bairoch A, Bateman A, Binns D, Bork P, Buillard V, Cerutti L, Copley R: New developments in the InterPro database. Nucleic Acids Res. 2007, D224-228. 10.1093/nar/gkl841. 35 Database
- Zdobnov EM, Apweiler R: InterProScan - an integration platform for the signature-recognition methods in InterPro. Bioinform. 2001, 17 (9): 847-848. 10.1093/bioinformatics/17.9.847.View Article
- Hunter S, Apweiler R, Attwood TK, Bairoch A, Bateman A, Binns D, Bork P, Das U, Daugherty L, Duquenne L: InterPro: the integrative protein signature database. Nucleic Acids Res. 2009, D211-215. 10.1093/nar/gkn785. 37 Database
- The InterProScan Signature Recognition Search. [http://www.ebi.ac.uk/Tools/InterProScan]
- The Joint Genome Institute's Sorghum biocolor genome page. [http://genome.jgi-psf.org/Sorbi1/Sorbi1.home.html]
- Paterson AH, Bowers JE, Bruggmann R, Dubchak I, Grimwood J, Gundlach H, Haberer G, Hellsten U, Mitros T, Poliakov A: The Sorghum bicolor genome and the diversification of grasses. Nature. 2009, 457 (7229): 551-556. 10.1038/nature07723.PubMedView Article
- The Joint Genome Institute's Populus trichocarpa genome page. [http://genome.jgi-psf.org/Poptr1_1/Poptr1_1.home.html]
- Tuskan GA, Difazio S, Jansson S, Bohlmann J, Grigoriev I, Hellsten U, Putnam N, Ralph S, Rombauts S, Salamov A: The genome of black cottonwood, Populus trichocarpa (Torr. & Gray). Science. 2006, 313 (5793): 1596-1604. 10.1126/science.1128691.PubMedView Article
- The National Center for Biotechnology Information. [http://www.ncbi.nlm.nih.gov]
- Thompson JD, Higgins DG, Gibson TJ: CLUSTAL W: improving the sensitivity of progressive multiple sequence alignment through sequence weighting, position-specific gap penalties and weight matrix choice. Nucleic Acids Res. 1994, 22 (22): 4673-4680. 10.1093/nar/22.22.4673.PubMed CentralPubMedView Article
- Tamura K, Dudley J, Nei M, Kumar S: MEGA4: Molecular Evolutionary Genetics Analysis (MEGA) software version 4.0. Mol Biol Evol. 2007, 24 (8): 1596-1599. 10.1093/molbev/msm092.PubMedView Article
- Saitou N, Nei M: The neighbor-joining method: a new method for reconstructing phylogenetic trees. Mol Biol Evol. 1987, 4 (4): 406-425.PubMed
- Felsenstein J: Confidence limits on phylogenies: An approach using the bootstrap. Evol. 1985, 39: 783-791. 10.2307/2408678.View Article
- Itoh T, Tanaka T, Barrero RA, Yamasaki C, Fujii Y, Hilton PB, Antonio BA, Aono H, Apweiler R, Bruskiewich R: Curated genome annotation of Oryza sativa ssp. japonica and comparative genome analysis with Arabidopsis thaliana. Genome Res. 2007, 17 (2): 175-183. 10.1101/gr.5509507.PubMed CentralPubMedView Article
- Tanaka T, Antonio BA, Kikuchi S, Matsumoto T, Nagamura Y, Numa H, Sakai H, Wu J, Itoh T, Sasaki T: The Rice Annotation Project Database (RAP-DB): 2008 update. Nucleic Acids Res. 2008, D1028-1033. 36 Database
- Dahiya N, Tewari R, Hoondal G: Biotechnological aspects of chitinolytic enzymes: a review. Applied Microbiol Biotechnol. 2006, 71 (6): 773-782. 10.1007/s00253-005-0183-7.View Article
- Sasaki C, Varum KM, Itoh Y, Tamoi M, Fukamizo T: Rice chitinases: sugar recognition specificities of the individual subsites. Glycobiology. 2006, 16 (12): 1242-1250. 10.1093/glycob/cwl043.PubMedView Article
- Shoresh M, Harman GE: Genome-wide identification, expression and chromosomal location of the genes encoding chitinolytic enzymes in Zea mays. Mol Genet Genomics. 2008, 280 (2): 173-185. 10.1007/s00438-008-0354-1.PubMedView Article
- Takahashi-Ando N, Inaba M, Ohsato S, Igawa T, Usami R, Kimura M: Identification of multiple highly similar XIP-type xylanase inhibitor genes in hexaploid wheat. Biochem Biophys Res Commun. 2007, 360 (4): 880-884. 10.1016/j.bbrc.2007.06.151.PubMedView Article
- Kawase T, Yokokawa S, Saito A, Fujii T, Nikaidou N, Miyashita K, Watanabe T: Comparison of enzymatic and antifungal properties between family 18 and 19 chitinases from S. coelicolor A3(2). Biosci Biotechnol Biochem. 2006, 70 (4): 988-998. 10.1271/bbb.70.988.PubMedView Article
- Peumans WJ, Van Damme EJM: Lectins as plant defense proteins. Plant Physiol. 1995, 109 (2): 347-352. 10.1104/pp.109.2.347.PubMed CentralPubMedView Article
- Park C, Kim S, Park J, Ahn I, Jwa N, Im K, Lee Y: Molecular characterization of a pathogenesis-related protein 8 gene encoding a class III chitinase in rice. Mol Cells. 2003, 17 (1): 144-150.
- Guan YRS, Nagegowda D, Taylor PW, Chye ML: Brassica juncea chitinase BjCHI1 inhibits growth of fungal phytopathogens and agglutinates Gram-negative bacteria. J Exp Bot. 2008, 59 (12): 3475-3484. 10.1093/jxb/ern197.PubMed CentralPubMedView Article
- Kuo CJ, Liao YC, Yang JH, Huang LC, Chang CT, Sung HY: Cloning and characterization of an antifungal class III Chitinase from suspension-cultured bamboo (Bambusa oldhamii) cells. J of Agric Food Chem. 2008, 56 (23): 11507-11514. 10.1021/jf8017589.View Article
- Hamel F, Bellemare G: Characterization of a class I chitinase gene and of wound-inducible, root and flower-specific chitinase expression in Brassica napus. Biochim Biophys. 1995, 1263 (3): 212-220.View Article
- Pinheiro C, Chaves MM, Ricardo CP: Alterations in carbon and nitrogen metabolism induced by water deficit in the stems and leaves of Lupinus albus L. J Exp Bot. 2001, 52 (358): 1063-1070. 10.1093/jexbot/52.358.1063.PubMedView Article
- van der Holst PPG, Schlaman HRM, Spaink HP: Proteins involved in the production and perception of oligosaccharides in relation to plant and animal development. Curr Opin Struct Biol. 2001, 11 (5): 608-616. 10.1016/S0959-440X(00)00255-4.PubMedView Article
- Yeh S, Moffatt BA, Griffith M, Xiong F, Yang DSC, Wiseman SB, Sarhan F, Danyluk J, Xue YQ, Hew CL: Chitinase genes responsive to cold encode antifreeze proteins in winter cereals. Plant Physiol. 2000, 124 (3): 1251-1264. 10.1104/pp.124.3.1251.PubMed CentralPubMedView Article
- Yun DJ, D'Urzo MP, Abad L, Takeda S, Salzman R, Chen Z, Lee H, Hasegawa PM, Bressan RA: Novel osmotically induced antifungal chitinases and bacterial expression of an active recombinant isoform. Plant Physiol. 1996, 111 (4): 1219-1225. 10.1104/pp.111.4.1219.PubMed CentralPubMedView Article
- Hamel F, Boivin R, Tremblay C, Bellemare G: Structural and evolutionary relationships among chitinases of flowering plants. J Mol Evol. 1997, 44 (6): 614-624. 10.1007/PL00006184.PubMedView Article
- Singh A, Isaac Kirubakaran S, Sakthivel N: Heterologous expression of new antifungal chitinase from wheat. Protein Expr Purif. 2007, 56 (1): 100-109. 10.1016/j.pep.2007.06.013.PubMedView Article
- Durand A, Hughes R, Roussel A, Flatman R, Henrissat B, Juge N: Emergence of a subfamily of xylanase inhibitors within glycoside hydrolase family 18. FEBS J. 2005, 272 (7): 1745-1755. 10.1111/j.1742-4658.2005.04606.x.PubMedView Article
- Pruitt KD, Tatusova T, Maglott DR: NCBI reference sequences (RefSeq): a curated non-redundant sequence database of genomes, transcripts and proteins. Nucleic Acids Res. 2007, D61-65. 10.1093/nar/gkl842. 35 Database
- Funkhouser JD, Aronson NN: Chitinase family GH18: evolutionary insights from the genomic history of a diverse protein family. BMC Evol Biol. 2007, 7: 96-10.1186/1471-2148-7-96.PubMed CentralPubMedView Article
- Suzukawa K, Yamagami T, Ohnuma T, Hirakawa H, Kuhara S, Aso Y, Ishiguro M: Mutational analysis of amino acid residues involved in catalytic activity of a family 18 chitinase from tulip bulbs. Biosci Biotechnol Biochem. 2003, 67 (2): 341-346. 10.1271/bbb.67.341.PubMedView Article
- Igawa T, Tokai T, Kudo T, Yamaguchi I, Kimura M: A wheat xylanase inhibitor gene, Xip-I, but not Taxi-I, is significantly induced by biotic and abiotic signals that trigger plant defense. Biosci Biotechnol Biochem. 2005, 69 (5): 1058-1063. 10.1271/bbb.69.1058.PubMedView Article
- Sigrist CJA, Cerutti L, de Castro E, Langendijk-Genevaux PS, Bulliard V, Bairoch A, Hulo N: PROSITE, a protein domain database for functional characterization and annotation. Nucleic Acids Res. 2010, D161-166. 10.1093/nar/gkp885. 38 Database
- Xu F, Fan C, He Y: Chitinases in Oryza sativa ssp. japonica and Arabidopsis thaliana. J Genet Genomics. 2007, 34 (2): 138-150. 10.1016/S1673-8527(07)60015-0.PubMedView Article
- Bishop JG, Dean AM, Mitchell-Olds T: Rapid evolution in plant chitinases: Molecular targets of selection in plant-pathogen coevolution. Proc Natl Acad Sci USA. 2000, 97 (10): 5322-5327. 10.1073/pnas.97.10.5322.PubMed CentralPubMedView Article
- Hrmova M, Burton RA, Biely P, Lahnstein J, Fincher GB: Hydrolysis of (1,4)-beta-D-mannans in barley (Hordeum vulgare L.) is mediated by the concerted action of (1,4)-beta-D-mannan endohydrolase and beta-D-mannosidase. Biochem J. 2006, 399 (1): 77-90. 10.1042/BJ20060170.PubMed CentralPubMedView Article
- Bourgault R, Bewley JD: Variation in its C-terminal amino acids determines whether endo-beta-mannanase is active or inactive in ripening tomato fruits of different cultivars. Plant Physiol. 2002, 130 (3): 1254-1262. 10.1104/pp.011890.PubMed CentralPubMedView Article
- Bourgault R, Oakley AJ, Bewley JD, Wilce MC: Three-dimensional structure of (1,4)-beta-D-mannan mannanohydrolase from tomato fruit. Protein Sci. 2005, 14 (5): 1233-1241. 10.1110/ps.041260905.PubMed CentralPubMedView Article
- Wang A, Li J, Zhang B, Xu X, Bewley JD: Expression and location of endo-beta-mannanase during the ripening of tomato fruit, and the relationship between its activity and softening. J Plant Physiol. 2009, 166 (15): 1672-1684. 10.1016/j.jplph.2009.04.008.PubMedView Article
- Opassiri R, Pomthong B, Akiyama T, Nakphaichit M, Onkoksoong T, Ketudat Cairns M, Ketudat Cairns JR: A stress-induced rice (Oryza sativa L.) beta-glucosidase represents a new subfamily of glycosyl hydrolase family 5 containing a fascin-like domain. Biochem J. 2007, 408 (2): 241-249. 10.1042/BJ20070734.PubMed CentralPubMedView Article
- Caffall KH, Mohnen D: The structure, function, and biosynthesis of plant cell wall pectic polysaccharides. Carbohydr Res. 2009, 344 (14): 1879-1900. 10.1016/j.carres.2009.05.021.PubMedView Article
- Carpita NC, Gibeaut DM: Structural models of primary cell walls in flowering plants: Consistency of molecular structure with the physical properties of the walls during growth. Plant J. 1993, 3 (1): 1-30. 10.1111/j.1365-313X.1993.tb00007.x.PubMedView Article
- Ogawa M, Kay P, Wilson S, Swain SM: ARABIDOPSIS DEHISCENCE ZONE POLYGALACTURONASE1 (ADPG1), ADPG2, and QUARTET2 are polygalacturonases required for cell separation during reproductive development in Arabidopsis. Plant Cell. 2009, 21 (1): 216-233. 10.1105/tpc.108.063768.PubMed CentralPubMedView Article
- Preuss D, Rhee SY, Davis RW: Tetrad analysis possible in Arabidopsis with mutation of the QUARTET (QRT) genes. Science. 1994, 264 (5164): 1458-1460. 10.1126/science.8197459.PubMedView Article
- Gonzalez-Carranza ZH, Elliott KA, Roberts JA: Expression of polygalacturonases and evidence to support their role during cell separation processes in Arabidopsis thaliana. J Exp Bot. 2007, 58 (13): 3719-3730. 10.1093/jxb/erm222.PubMedView Article
- Smith CJS, Watson CF, Ray J, Bird CR, Morris PC, Schuch W, Grierson D: Antisense RNA inhibition of polygalacturonase gene expression in transgenic tomatoes. Nature. 1998, 334: 724-726. 10.1038/334724a0.View Article
- Smith CJ, Watson CF, Morris PC, Bird CR, Seymour GB, Gray JE, Arnold C, Tucker GA, Schuch W, Harding S: Inheritance and effect on ripening of antisense polygalacturonase genes in transgenic tomatoes. Plant Mol Biol. 1990, 14 (3): 369-379. 10.1007/BF00028773.PubMedView Article
- Vogel J: Unique aspects of the grass cell wall. Curr Opin Plant Biol. 2008, 11 (3): 301-307. 10.1016/j.pbi.2008.03.002.PubMedView Article
- Penning BW, Hunter CT, Tayengwa R, Eveland AL, Dugard CK, Olek AT, Vermerris W, Koch KE, McCarty DR, Davis MF: Genetic resources for maize cell wall biology. Plant Physiol. 2009, 151 (4): 1703-1728. 10.1104/pp.109.136804.PubMed CentralPubMedView Article
- Schnable PS, Ware D, Fulton RS, Stein JC, Wei F, Pasternak S, Liang C, Zhang J, Fulton L, Graves TA: The B73 maize genome: complexity, diversity, and dynamics. Science. 2009, 326 (5956): 1112-1115. 10.1126/science.1178534.PubMedView Article
- The Arabidopsis Genome Initiative: Analysis of the genome sequence of the flowering plant Arabidopsis thaliana. Nature. 2000, 408 (6814): 796-815. 10.1038/35048692.
- Lee RC, Burton RA, Hrmova M, Fincher GB: Barley arabinoxylan arabinofuranohydrolases: purification, characterization and determination of primary structures from cDNA clones. Biochem J. 2001, 356 (Pt 1): 181-189. 10.1042/0264-6021:3560181.PubMed CentralPubMedView Article
- Minic Z, Rihouey C, Do CT, Lerouge P, Jouanin L: Purification and characterization of enzymes exhibiting beta-D-xylosidase activities in stem tissues of Arabidopsis. Plant Physiol. 2004, 135 (2): 867-878. 10.1104/pp.104.041269.PubMed CentralPubMedView Article
- Rosli HG, Civello PM, Martinez GA: alpha-l-Arabinofuranosidase from strawberry fruit: cloning of three cDNAs, characterization of their expression and analysis of enzymatic activity in cultivars with contrasting firmness. Plant Physiol Biochem. 2009, 47 (4): 272-281. 10.1016/j.plaphy.2008.12.009.PubMedView Article
- Di Santo MC, Pagano EA, Sozzi GO: Differential expression of alpha-l-arabinofuranosidase and alpha-l-arabinofuranosidase/beta-d-xylosidase genes during peach growth and ripening. Plant Physiol Biochem. 2009, 47 (7): 562-569. 10.1016/j.plaphy.2009.02.007.View Article
- Fulton LM, Cobbett CS: Two alpha-L-arabinofuranosidase genes in Arabidopsis thaliana are differentially expressed during vegetative growth and flower development. J Exp Bot. 2003, 54 (392): 2467-2477. 10.1093/jxb/erg269.PubMedView Article
- Chavez Montes RA, Ranocha P, Martinez Y, Minic Z, Jouanin L, Marquis M, Saulnier L, Fulton LM, Cobbett CS, Bitton F: Cell wall modifications in Arabidopsis plants with altered alpha-L-arabinofuranosidase activity. Plant Physiol. 2008, 147 (1): 63-77. 10.1104/pp.107.110023.PubMed CentralPubMedView Article
- Kuriki T, Imanaka T: The concept of the alpha-amylase family: structural similarity and common catalytic mechanism. J Biosci Bioeng. 1999, 87 (5): 557-565. 10.1016/S1389-1723(99)80114-5.PubMedView Article
- Stam MR, Danchin EG, Rancurel C, Coutinho PM, Henrissat B: Dividing the large glycoside hydrolase family 13 into subfamilies: towards improved functional annotations of alpha-amylase-related proteins. Protein Eng Des Sel. 2006, 19 (12): 555-562. 10.1093/protein/gzl044.PubMedView Article
- Hannah LC, James M: The complexities of starch biosynthesis in cereal endosperms. Curr Opin Biotechnol. 2008, 19 (2): 160-165. 10.1016/j.copbio.2008.02.013.PubMedView Article
- Robert X, Haser R, Gottschalk TE, Ratajczak F, Driguez H, Svensson B, Aghajari N: The structure of barley alpha-amylase isozyme 1 reveals a novel role of domain C in substrate recognition and binding: a pair of sugar tongs. Structure. 2003, 11 (8): 973-984. 10.1016/S0969-2126(03)00151-5.PubMedView Article
- Kadziola A, Abe J, Svensson B, Haser R: Crystal and molecular structure of barley alpha-amylase. J Mol Biol. 1994, 239 (1): 104-121. 10.1006/jmbi.1994.1354.PubMedView Article
- Stanley D, Fitzgerald AM, Farnden KJF, Macrae EA: Characterisation of putative α-amylases from apple (Malus domestica) and Arabidopsis thaliana. Biologia, Bratislava. 2002, 57 (11): 137-148.
- Doyle EA, Lane AM, Sides JM, Mudgett MB, Monroe JD: An alpha-amylase (At4g2500) in Arabidopsis leaves is secreted and induced by biotic and abiotic stress. Plant Cell Environ. 2007, 30 (4): 388-398. 10.1111/j.1365-3040.2006.01624.x.PubMedView Article
- The Center for Biological Sequence Analysis Prediction Servers. [http://www.cbs.dtu.dk/services/]
- Jeon JS, Ryoo N, Hahn TR, Walia H, Nakamura Y: Starch biosynthesis in cereal endosperm. Plant Physiol Biochem. 2010, 48 (6): 383-92. 10.1016/j.plaphy.2010.03.006.PubMedView Article
- Tian Z, Qian Q, Liu Q, Yan M, Liu X, Yan C, Liu G, Gao Z, Tang S, Zeng D: Allelic diversities in rice starch biosynthesis lead to a diverse array of rice eating and cooking qualities. Proc Natl Acad Sci USA. 2009, 106 (51): 21760-21765. 10.1073/pnas.0912396106.PubMed CentralPubMedView Article
This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.