Skip to main content
  • Research article
  • Open access
  • Published:

Generation and analysis of expressed sequence tags from six developing xylem libraries in Pinus radiata D. Don



Wood is a major renewable natural resource for the timber, fibre and bioenergy industry. Pinus radiata D. Don is the most important commercial plantation tree species in Australia and several other countries; however, genomic resources for this species are very limited in public databases. Our primary objective was to sequence a large number of expressed sequence tags (ESTs) from genes involved in wood formation in radiata pine.


Six developing xylem cDNA libraries were constructed from earlywood and latewood tissues sampled at juvenile (7 yrs), transition (11 yrs) and mature (30 yrs) ages, respectively. These xylem tissues represent six typical development stages in a rotation period of radiata pine. A total of 6,389 high quality ESTs were collected from 5,952 cDNA clones. Assembly of 5,952 ESTs from 5' end sequences generated 3,304 unigenes including 952 contigs and 2,352 singletons. About 97.0% of the 5,952 ESTs and 96.1% of the unigenes have matches in the UniProt and TIGR databases. Of the 3,174 unigenes with matches, 42.9% were not assigned GO (Gene Ontology) terms and their functions are unknown or unclassified. More than half (52.1%) of the 5,952 ESTs have matches in the Pfam database and represent 772 known protein families. About 18.0% of the 5,952 ESTs matched cell wall related genes in the MAIZEWALL database, representing all 18 categories, 91 of all 174 families and possibly 557 genes. Fifteen cell wall-related genes are ranked in the 30 most abundant genes, including CesA, tubulin, AGP, SAMS, actin, laccase, CCoAMT, MetE, phytocyanin, pectate lyase, cellulase, SuSy, expansin, chitinase and UDP-glucose dehydrogenase. Based on the PlantTFDB database 41 of the 64 transcription factor families in the poplar genome were identified as being involved in radiata pine wood formation. Comparative analysis of GO term abundance revealed a distinct transcriptome in juvenile earlywood formation compared to other stages of wood development.


The first large scale genomic resource in radiata pine was generated from six developing xylem cDNA libraries. Cell wall-related genes and transcription factors were identified. Juvenile earlywood has a distinct transcriptome, which is likely to contribute to the undesirable properties of juvenile wood in radiata pine. The publicly available resource of radiata pine will also be valuable for gene function studies and comparative genomics in forest trees.


Radiata pine (Pinus radiata D. Don) is the dominant forest plantation species for the sawmill industry in Australia, New Zealand, Chile and some other countries. Breeding programs in radiata pine have been conducted in Australia since the early 1950s. The first generation of breeding increased the growth rate by 33%, thus reduced the rotation period to 27–30 yrs from the previous 40–45 yrs [1]. Consequently, the faster growth rate resulted in a large proportion (30–50%) of juvenile wood in the harvested logs [2, 3]. Juvenile wood has a number of undesirable wood properties [1, 3] and its higher proportion in the harvested logs reduces the value of timber products. Improving juvenile wood quality and reducing its proportion have been identified as the priorities in the next generation breeding program of radiata pine. Understanding wood formation at the molecular level would underpin more efficient breeding strategies for the improvement of juvenile wood.

Genomics approaches have been applied to explore the molecular basis of growth and development in forest tree species. Expressed sequence tags (ESTs) and microarray gene expression studies have been carried out in poplar, loblolly pine, spruce and eucalypts [415]. Due to the economic value of wood, all forest genomic projects were primarily focused on the transcriptional regulation of wood formation (xylogenesis). Xylogenesis is initiated in the vascular cambium and proceeded from cell division to expansion, secondary wall formation, lignification, and finally programmed cell death [5, 12]. Large numbers of xylogenesis ESTs from forest tree species have been deposited in public databases, including 59,797 ESTs from loblolly pine, 25,218 ESTs from poplars, 16,430 ESTs from white spruce and 52,330 ESTs from sitka spruce (extracted from [6, 8, 14, 16], respectively). Furthermore, the genome of Populus trichocarpa (~550 Mbp) has been published [17], and efforts to sequence the Eucalyptus grandis genome (~640 Mbp) are in progress [18]. However, the large conifer genome (~20,000 Mbp) [19] is unlikely to be sequenced in the near future, thus EST sequencing remains an important approach for gene discovery in conifers.

Despite the commercial importance of radiata pine in many countries, little genomic research has been done for this species compared to loblolly pine, Populus, spruce, maritime pine and eucalypts. As of January 20, 2009, only 151 radiata pine ESTs appear in the NCBI GeneBank (dbEST), and no unigene information is available. Recently, 455 genes were observed to be differentially expressed in the base to the crown of the radiata pine trees using modified differential display [20]. Gene expression in the early embryogenesis of Pinus radiata was studied using the cDNA-AFLPs strategy, which revealed a total of 82 up- or down-regulated transcript-derived fragments (TDFs) [21]. Development of juvenile and mature wood in radiata pine is still poorly characterised at the genomics level.

We applied genomics approaches to investigate the transcriptional regulation of xylogenesis in radiata pine, with a focus on juvenile wood formation. Six developing xylem cDNA libraries were constructed from earlywood and latewood tissues collected from juvenile (7 yrs), transition (11 yrs) and mature (30 yrs) trees, respectively. The sampled xylem tissues represent the major stages of wood development in a typical rotation period of radiata pine. A total of 6,389 high quality xylogenesis ESTs were sequenced from 5,952 cDNA clones and assembled into 3,304 unigenes. Here we report the generation and analysis of a genomic resource for wood formation in radiata pine.


EST sequencing and assembly

In total, 6,389 high quality ESTs of at least 100 bp in length were collected from approximately 8,000 raw sequences. The 6,389 ESTs were sequenced from 5,952 different cDNA clones in six developing xylem cDNA libraries. Average size of all 6,389 ESTs and the 5,952 ESTs from 5' end sequences is 624 bp and 636 bp, respectively. Of the 5,952 ESTs, 86.4% and 69.6% are greater than 300 bp and 500 bp in length, respectively. The number of ESTs in each library ranged from 694 in earlywood at transition age to 1,636 in latewood at juvenile age (Table 1). Juvenile wood has the highest proportion of ESTs due to the focus of this study. The assembly of all 5,952 ESTs from 5' end sequences generated 3,304 xylogenesis unigenes, including 952 contigs (28.8%) and 2,352 singletons (71.2%) (Table 1).

Table 1 Assembly of radiata pine xylogenesis ESTs from six cDNA libraries

The 3,304 unigenes have an average length of 702 bp; 41.0% are more than 800 bp, and only 13.5% are less than 300 bp. Of the 952 contigs, 28.4% (270) have four or more transcripts (Figure 1) and the three deepest contigs included 69–79 transcripts. Since the ESTs and unigenes were derived from a total of seven different genotypes of radiata pine, these deep contigs provide an opportunity to identify single nucleotide polymorphisms (SNPs). The number of ESTs forming a contig reflects the level of EST redundancy in the cDNA libraries. The assembly of 5,952 ESTs from 5' end sequences revealed 47.8% of redundancy in the radiata pine EST collection (Table 1). However, the EST redundancy in each library varies from 14.2% to 44.4%, with an average redundancy of 28.8% (Table 1). The redundancy may increase significantly during further EST sequencing. By comparison, the EST redundancy in the radiata pine EST collection is slightly higher than the estimated redundancy of 28% in Populus (13.5 k microarrays) [22] and of 39% in white spruce (50,000 ESTs) [14].

Figure 1
figure 1

Distribution of 952 contigs based on the number of clustered ESTs. The number of ESTs clustered in contigs reduces the efficiency of ESTs for representing different genes, thus can be regarded as an indicator for EST redundancy in cDNA library.

Functional annotation and classification

Blast searches of the 5,952 ESTs against the NCBI nr database revealed 73.4% and 69.0% matches with tblastx and blastx (E-value ≤ 10-5), respectively. However, 71.3% of all matches with blastx are either unknowns (47.5%), unnamed (13.6%), hypothetical (5.4%) or predicted proteins (4.7%). When using the UniProt database with blastx (E-value ≤ 10-5) and TIGR database with blastn (E-value ≤ 10-15), 97.6% of the 5,952 ESTs have homologs and only 20.5% of all matches are unknowns or uncharacterized proteins. Of the 139 ESTs (2.3%) with no matches in the UniProt and TIGR databases, 41 ESTs are greater than 500 bp in length and remain as singletons after assembly, thus some of which are likely to represent putative novel ESTs in radiata pine wood formation. Based on the Pfam known protein family database, 52.1% of the ESTs have homologs with blastx (E-value ≤ 10-5) and were classified into 772 protein families. Nearly half of the ESTs (47.9%) did not match the known protein families in the Pfam database, thus they were regarded as unknown protein families.

Of the 3,304 xylogenesis unigenes, 68.1% have matches in the NCBI nr database with blastx, however 77.3% of all matches are unknowns or uncharacterized proteins. In contrast, a total of 96.1% of the unigenes matched sequences in the UniProt (with blastx) and TIGR (with blastn) databases and only 42.9% of all matches were not assigned GO terms (Table 2). The results blasted with unigenes are similar to those with ESTs. In the functional classification with GO terms, 89.1% of the 1,813 unigenes with assigned GO terms have molecular functions, 74.6% are involved in a biological process, and 47.8% are cellular components. The three categories of GO terms fell predominantly into one or two sub-categories (Figure 2). In the molecular function category with 1,616 unigenes 56.4% and 57.2% have binding and catalytic activity, respectively. Of the 867 unigenes in the cellular component, 98.9% are related to cell components. As for the 1,353 unigenes involved in biological process, 87.7% and 96.2% have functions in cellular process and physiological process, respectively.

Table 2 Summary of annotation and functional classification of 3,304 xylogenesis unigenes in radiata pine*.
Figure 2
figure 2

Functional classification for the 1,843 unigenes which were assigned with GO terms. Among 3,304 unigenes from radiata pine xylogenesis, 1,813 unigenes were functionally assigned with GO terms as molecular function (A), cellular component (B) and biological process (C). For each of these GO terms, functions were further assigned with sub-category of GO terms. The total percentage of functional categories or sub-category may be over 100% due to possibly multiple functions from some unigenes.

The functional annotation of 3,304 unigenes using the UniProt database revealed 2,101 (63.6%) matches, which is slightly lower than the matches using the NCBI nr database. Of the 2,101 matched unigenes 1,813 were assigned with GO terms and matched 1,582 different UniProt accession numbers, which suggests that possibly 1,582 non-redundant genes with known functions have been identified in wood formation of radiata pine. Significant GO term enrichments of the xylogenesis related genes in radiata pine (Table 3) were revealed using the DAVID Bioinformatics Resources 2008 [23, 24]. The mostly enriched GO terms in biological process (BP) include cellular protein metabolic process, transport, cellular component organization and biogenesis, and catabolic process. In cellular component (CC), cytoplasmic part, macromolecular complex, and non-membrane-bound organelle are the mostly enriched terms. While in the molecular function (MF), nucleotide binding, transporter activity, peptidase activity, and structural molecular activity are highly enriched. Further DAVID functional classification revealed 13 functional groups with an enrichment score of at least 1.26 (Additional file 1). The most significant functional group is a cluster of 11 genes showing a peptidase function.

Table 3 The most enriched GO terms in the radiata pine xylogenesis genomic resource*.

Cell wall biosynthesis genes

In the 5,952 ESTs, only 6.8% have homologs (blastx, E-value ≤ 10-5) in the Cell Wall Navigator, a primary wall gene database of Arabidopsis [25]. However, all 18 categories of primary and secondary wall genes in the MAIZEWALL database [26] were represented in the radiata pine EST resource, including 1,070 ESTs classified into 91 cell wall gene families (Additional file 2). Therefore, genes related to secondary cell walls are highly accumulated in the radiata pine EST resource. The 1,070 cell wall related ESTs of radiata pine were previously assembled into 826 contigs and 19 singletons, which matched sequences in the UniProt and TIGR databases with 557 non-redundant accession numbers, suggesting possibly 557 cell wall-related genes occurred in the radiata pine EST resource. The most abundant cell wall gene is cellulose synthase (CesA), with a total of 175 ESTs (2.9%). Other cell wall related genes in the 30 most highly abundant genes include tubulin, arabinogalactan protein genes (AGP), S-adenosylmethionine synthetase (SAMS), actin, laccase, CCoAMT, methionine synthase (cobalamin-independent) (MetE),phytocyanin, pectate lyase,cellulase, sucrose synthase (SuSy), expansin, chitinase and UDP-glucose dehydrogenase (Table 4).

Table 4 Thirty highly abundant genes (or gene families) in the 5,952 xylogenesis ESTs of radiata pine.

Some cell wall genes were moderately abundant (10–20 ESTs) in the radiata pine EST resource, including protective protein for beta-galactosidase (PPGB), methionine synthase, proline-rich protein (PRP), translationally controlled tumor protein (TCTP), alpha-galactosidase, UDP-glucose glucosyltransferase, malate dehydrogenase, pectinesterase, and glycine-rich protein (GRP). Other cell wall related genes including pectin methylesterases (PMEs) and xyloglucan endotransglycosylases (XETs) have five ESTs each. Eight ESTs encoding cyclin or cyclin-like and seven ESTs encoding cell cycle proteins were identified in radiata pine. These cell cycle genes can activate cell-cycle machinery and cell division [27]. Interestingly, most genes involved in lignin biosynthesis were present in radiata pine wood formation. Laccases, SAMS and CCoAOMT are in the 30 highly abundant genes with 29 to 46 ESTs (Table 4). C4H, 4CL, peroxidase, CAD, C3H, COMT and dirigent-like protein are moderately abundant with seven to 18 ESTs. CCR and PAL also occurred with two ESTs each in the radiata pine EST resource.

Based on the Pfam database, 772 known protein families were identified in radiata pine. The 30 most highly abundant families included 11 protein families related to cell wall biosynthesis (Table 5). Unsurprisingly, cellulose_synt is the most abundant family with 108 ESTs. Other abundant protein families included actin, tubulin, tubulin_C, meth_synt_2, methltransf_3, peroxidase, S-AdoMet_synt_C, glyco_hydro_19 and glyco_hydro_9 (Table 5). These abundant families included many known proteins associated with cell wall formation, such as CesAs, actins, tubulins (α and β), methionine synthases, MetE, CCoAOMT, peroxidases, SAMS, chitinases and cellulases. However, AGPs are not recognized as proteins in the Pfam database, thus they are not listed in the abundant protein families. The most abundant protein families here are broadly consistent with the most abundant genes based on UniProt and TIGR databases (Table 4).

Table 5 Thirty highly abundant protein families in the radiata pine xylogenesis EST resource.

Identification of transcription factors

PlantTFDB, a recently developed database of transcription factor (TF) families for 22 plant species [28], was used to identify putative transcription factors expressed in radiata pine wood formation. Blastx searches revealed 358 ESTs (assembled into 284 unigenes) of radiata pine with matches in PlantTFDB at E-value ≤ 10-5. These homologs fell into 41 families (Table 6) and represented 64.1% of the 64 TF families in the poplar genome, suggesting extensive involvement of transcription factors in the regulation of xylogenesis gene expression. The most abundant TF family in radiata pine wood formation is PHD (Cys4-His-Cys3 zinc finger) with 55 ESTs. Other TF families with at least five ESTs included C3H, HB, C2H2, NAC, MYB-related, MYB, AP2-EREBP, PcG, bHLH, LIM, EIL, HMG, C2C2-GATA, LUG, WRKY, bZIP, GARP-G2-like, SBP and Trihelix. The higher abundance of PHD, C3H, MYB, HMG, WRKY, NAC, HB and bZIP in radiata pine xylogenesis was also observed in white spruce [14].

Table 6 Forty-one transcription factor families in the radiata pine xylogenesis EST resource.

Transcriptome reorganization during wood development

The ESTs and unigenes from different libraries represent the transcriptome in the respective wood development stages. We compared the transcriptomes from juvenile earlywood, juvenile latewood, mature earlywood and mature latewood tissues. These four tissues were collected from trees growing within 50 m of each other, and at the same date for earlywood or latewood to minimize the environmental effects. Comparative transcriptome analysis highlighted 306 and 150 GO terms showing significant differences (P-value < 0.01) in terms of EST and unigene abundance, respectively. The hierarchical clustering dendrogram trees from both ESTs and unigenes revealed similar patterns of transcriptome reorganization during wood formation in radiata pine (Figure 3A, B), which suggested that juvenile earlywood has a distinct transcriptome compared to the other three developmental stages, whereas the transcriptome of juvenile latewood is more conserved with mature earlywood and latewood. The distinct gene expression in juvenile earlywood is likely associated with the unique properties of juvenile wood.

Figure 3
figure 3

Hierarchical clustering dendrogram trees for juvenile and mature wood cDNA libraries. ESTs or unigenes from each of the four libraries (juvenile earlywood-JE, juvenile latewood-JL, mature earlywood-ME and mature latewood-ML) were annotated against the UniProt and TIGR databases, and assigned with GO terms. The abundance of ESTs or unigenes in each GO term was calculated for each library, and further normalized as a percentage based on the number of ESTs or unigenes in each library. Statistical significance of EST or unigene abundance in each GO term among the four libraries was valuated by Chi Square tests and P-values. The normalized EST or unigene abundance was used to construct the hierarchical clustering dendrogram trees. A: the dendrogram tree for ESTs. B: the dendrogram tree for unigenes.

Comparative analysis of protein family revealed some known protein families more abundant in particular libraries (Additional file 3). Pectinesterase, pfkB family carbohydrate kinase, UDP-glucose/GDP-mannose dehydrogenase, homeobox domain, UDP-glucosyl transferase, profilin, thioredoxin, and plastocyanin-like domain were more abundant in earlywood. In contrast, CesA, SAMS, TCTP, tubulin, dehydrin, metallothionein, protein tyrosine kinase, aminotransferase, and WD domain protein were more abundant in latewood. The protein families more abundant in juvenile wood include pectate lyase, skp1, zinc-binding dehydrogenase and inorganic H+ pyrophosphatase. While plastocyanin-like, peroxidase, elongation factor, calreticulin, UDP-glucose/GDP-mannose dehydrogenase, SAMS, glycosyl hydrolases family 17, aldehyde dehydrogenase, major intrinsic protein (MIP), pectinesterase, CesA and O-methyltransferase are more abundant in mature wood. Some protein families are highly represented in both latewood and mature wood, suggesting possibly similar transcriptional regulation in these developmental stages.

Genes or gene families with more expression in different libraries were also identified in the radiata pine EST resource (Additional file 4). Homeodomain, AGP4, LTP, peroxidase, glycosyl transferase, actin 2, PRP, malate dehydrogenase, phytocyanin and PPGB have higher expression in earlywood. In contrast, expansin (ripening-related), dehydrin, tubulin alpha 1, COMT,CC-NBS-LRR resistance-like, and green ripe-like 1 are more abundant in latewood. Genes more expressed in juvenile wood include methionine synthase, HB1, cytochrome c oxidase, alpha tubulin 1, metallothionein-like, AGP6, etc. Some genes related to secondary wall biosynthesis (ie, peroxidase, AGP5, FLA17, CAD and CesA1) are more expressed in mature wood. Interestingly, in the large AGP gene family, PrAGP4 is more expressed in earlywood, while PrAGP5 and PrFLA17 are more expressed in mature wood, suggesting divergent roles of different AGP genes during wood formation.

GO term enrichments in different stages of wood development were also revealed using DAVID Bioinformatics Resources 2008 (Additional file 5). Specifically enriched GO terms in earlywood included: cellular component organization and biogenesis, membrane, protein complex, catalytic activity, hydrolase activity and transporter activity. Latewood specifically enriched terms included: cellular macromolecule metabolic process, protein modification process, cytoplasm, nucleotide binding, and protein kinase activity. The number of specifically enriched GO terms in juvenile wood is about two times as in mature wood, suggesting more unique gene expression in juvenile wood than mature wood (Additional file 5). The most enriched specific GO terms in juvenile wood included: cellular macromolecule metabolic process, intracellular organelle part, protein complex, hydrolase activity, and nucleotide binding; while in latewood cellular component organization and biogenesis, membrane, and transporter activity are the most enriched specific GO terms. The specifically enriched GO terms in different development stages are likely to reflect their unique transcriptomes.


The 6,389 xylogenesis ESTs and 3,304 unigenes described here form a significant genomic resource for radiata pine. Being derived from major stages of wood development in a typical rotation period, this resource represents a broad xylogenesis transcriptome in the species. The highest proportion of ESTs is derived from juvenile wood and will assist in understanding transcriptional regulation at this stage. Most families of genes involved in secondary cell wall development are represented in the EST resource.

Gene expression in secondary wall formation

Lignin biosynthesis is a key developmental feature that distinguishes secondary from primary cell walls. The synthesized monolignols are transported to the apoplast, where polymerisation starts in the middle lamella and cell corners [29]. Most genes in the monolignol pathway are represented with high or moderate abundance in radiata pine xylogenesis including SAMS, MetE,laccase, CCoAOMT, C4H, 4CL,methionine synthase,peroxidase,CAD, C3H, COMT and cytochrome c oxidase. A total of 46 radiata pine ESTs (four contigs and two singletons) were found to encode SAMS protein. Lignin precursors are extensively methylated in the S-adenosyl methionine (SAM) dependent reaction [30]. In white spruce seven SAMS genes were previously identified [14]. Some other lignin biosynthetic genes were also identified at lower abundance including CCR, PAL and dirigent-like. The dirigent protein was presumed to act as a template for lignin polymerization [31]. The presence and abundance of most lignin biosynthetic genes in the radiata pine EST collection suggests active secondary cell wall biosynthesis in the xylem tissues sampled.

Cellulose is deposited in both primary and secondary cell walls, but is much more abundant in secondary walls. CesA is the most abundant gene in the radiata pine EST collection with 175 ESTs representing six of the eight previously isolated PrCesA genes [32]. A phylogenetic tree of plant CesAs (Figure 4) constructed using Muscle [33] and MEGA 4 [34] revealed that five of the six PrCesA proteins identified in this study are most homologous to the secondary wall CesAs of Arabidopsis [35]. The five PrCesAs are also most homologous to the secondary wall CesAs of Populus [3638] and loblolly pine [39]. Interestingly, the five PrCesAs cover all three sub groups of plant secondary wall CesAs represented by three Arabidopsis secondary wall CesAs (AtCesA4, AtCesA7 and AtCesA8), respectively, suggesting the functional conservation of secondary wall CesAs across angiosperm and gymnosperm taxa. A single EST encoding PrCesA10 was clustered with primary cell wall CesAs, suggesting primary wall PrCesA genes are poorly presented in the radiata pine EST resource. Cellulases and SuSy are also highly expressed during radiata pine wood formation. Cellulase may be part of the cellulose synthesizing complex and required for wall assembly and elongation [40]. A membrane-bound cellulase isoenzyme is up-regulated in poplar secondary walls [5]. In Scots pine SuSy activity was observed to peak in the zone of maturing tracheids where the secondary wall is formed, and its expression was lowest in primary wall tissues [41].

Figure 4
figure 4

Phylogenetic tree of CesA proteins from radiata pine and other species. Muscle software was used to align multiple protein sequences of CesAs derived from GenBank. The protein sequences are deduced amino acid sequences from full length cDNAs except for some radiata pine CesAs. GenBank accession numbers are as follows: Pinus radiata, PrCesA1 (AAT57672), PrCesA2 (AAQ63936), PrCesA3 (AAQ63930), PrCesA5 (AAQ63931), PrCesA6 (AAQ63932), PrCesA7 (AAQ63933), PrCesA8 (AAQ63934), PrCesA10 (AAQ63935), PrCesA11 (AAQ63929). PrCesA1 and PrCesA10 are full length sequences, PrCesA2 is nearly full length sequence, others are partial sequences; Pinus taeda, PtCesA1 (AAX18647), PtCesA2 (AAX18648), PtCesA3 (AAX18649); Populus tremuloides, PtrCesA2 (AAM26299), PtrCesA3 (AAQ08987), PtrCesA4 (AAO25536), PtrCesA5 (AAL23710), PtrCesA6 (AAP40636), PtrCesA7 (AAO25581); Populus tremula × Populus tremuloides, PttCesA1 (AAT09894), PttCesA2 (AAT09895), PttCesA3-1 (AAT09896), PttCesA3-2 (AAT09897); Populus tomentosa, PtoCesA1 (AAY21910); Populus canescens, PcaCesA1 (AAC78476); Arabidopsis thaliana, AtCesA1 (O48946), AtCesA2 (O48947), AtCesA3 (Q941L0), AtCesA4 (Q84JA6), AtCesA5 (Q8L778), AtCesA6 (Q94JQ6), AtCesA7 (Q9SWW6), AtCesA8 (Q8LPK5), AtCesA9 (Q9SJ22), AtCesA10 (Q9SKJ5). Red colour indicates secondary cell wall CesAs, blue colour indicates primary cell wall CesAs.

Hemicelluloses and pectin form a large group of heteropolysaccharides composed of D-xylose, L-arabinose, L-rhamnose, L-fucose, D-mannose, D-galactose, D-galacturonate, or D-glucose. In the radiata pine EST collection we identified genes involved in the synthesis and degradation of hemicellulose and pectin biosynthesis, including 21 ESTs (three contigs) of UDP-glucose dehydrogenase. UDP-D-glucuronate synthesis is the rate-limiting step for the biosynthesis of both hemicellulose and pectin [42]. We also identified four radiata pine ESTs of xyloglucan endotransglycosylases (XETs). XETs can cut and rejoin xyloglucan (XG) chains, and are believed to be important regulators of primary cell wall expansion [43]. One radiata pine XET is most homologous to Arabidopsis XTH8, which belongs to the same class as PttXET16A, a poplar secondary wall XET [44]. The considerable involvement of XETs in secondary walls is likely in the breakage and reconnection of linkages between adjacent microfibrils soon after their synthesis.

AGPs, AGP-like proteins and FLAs are highly abundant in the radiata pine EST collection with a total of 89 ESTs. The ortholog of loblolly pine PtaAGP4 is the most abundant AGP in radiata pine with 45 ESTs. Other identified radiata pine AGPs include PrAGP5, PrAGP6, PrAGP-like and PrFLAs (PrFLA1, 8, 10, 12, 16, 17 and 26). Six loblolly pine PtaAGPs (AGP3, AGP4, AGP5, AGP6, 3H6 and 14A9) were predominantly expressed in xylem [45]. The role of these AGPs in secondary wall development is currently unknown. In loblolly pine PtaAGP6 epitopes are restricted to cells formed immediately before secondary cell wall thickening [46]. However, the preponderance of genes in the radiata pine EST resource that are clearly involved in secondary wall development suggests that AGPs may also play an important role in secondary wall synthesis. AGPs were also found to be expressed in xylem tissues of Angiosperms. In Populus 15 FLAs are expressed in xylem, ten of which are up-regulated in tension wood [47]. While in eucalypts two FLAs are strongly up-regulated in upper branch wood [15]. A tobacco AGP is a candidate linker at the cell surface to mediate signal transduction between the plasma membrane and the cytoskeleton [48].

Expression of cytoskeleton-related genes

Conspicuous in the radiata pine xylem EST resource are genes encoding the cytoskeletal proteins: tubulin, actin and other cytoskeletal-associated proteins. The cytoskeleton provides the structural basis for cell polarity establishment and maintenance [49, 50]. Cellulose microfibril arrangement and deposition is believed to be directed by cortical microtubules, the dynamic heteropolymer arrays of α-tubulin and β-tubulin proteins. A Eucalyptus grandis β-tubulin gene (EgrTUB1) has been implicated in determining the orientation of cellulose microfibrils in plant secondary walls [51]. Two Populus tremuliodes α-tubulin genes (TUA1 and TUA5) are highly expressed in wood tissues [52] and ten tubulin genes in Populus tremula × P. tremuliodes are up-regulated in secondary walls [5]. In the radiata pine EST resource, a total of 102 ESTs were annotated to encode tubulin proteins, among which three tubulin genes (PrTUA1, PrTUB2 and PrTUB3) are highly or moderately abundant with 52, 26 and 15 ESTs, respectively. These three PrTUBs are most homologous to poplar tubulin genes that are strongly expressed in xylem tissues [52].

Actin microfilaments ensure the delivery of vesicles to specific sites in plant cells and are involved in cell shape determination [53]. Actin genes are highly abundant in the radiata pine EST collection with a total of 58 ESTs (six contigs and five singletons). Other actin related and interacting genes are also found, including ADF, actin binding protein (ABP), actin-related protein (ARP), profilin and villin. Arabidopsis has ten actin genes [53], eight actin-related proteins (ARP) [54] and many actin-interacting proteins including profilin, actin depolymerisation factor (ADF), fimbrin, villin, rho-type small GTPase, capping protein, and actin-interacting cyclise-associated protein [55, 56]. The radiata pine ARPs are the putative homologs to Arabidopsis ARP2, ARP3 and ARP6, suggesting the possible involvement of the ARP2/3 complex in actin cytoskeleton development during radiata pine xylem formation.

Cytoskeleton formation involves cycling dynamics of polymerization and depolymerization of its basic structural subunits, such as G-actin and tubulin dimers. Microtubule-associated proteins (MAPs) and actin-binding proteins (ABPs) are believed to regulate the dynamic cytoskeletal changes [57]. In the radiata pine EST resource, several transcripts are present for MAPs (three ESTs), microtubule-binding protein (one EST) and actin-binding protein (two ESTs). Kinesin-1 (conventional kinesin) is a dimeric motor protein that carries cellular cargo along microtubules [58]. A novel kinesin (GhKCH1) from cotton fibers plays a role in coordinating the actin network with the cortical microtubule array [59]. We identified eight radiata pine ESTs annotated as kinesin-1 or kinesin-like proteins which may have similar roles in actin and microtubule interactions.

Transcription factors in secondary wall formation

Of the 64 transcription factor families in poplar genome, 41 families (64.1%) are presented in the radiata pine xylogenesis genomic resource (Table 6). These transcription factor families include many regulatory genes, such as MYBs, MADS-box, LIM domain, zinc finger, Class III HD-Zip, WRKY and AUX/IAA. Several members of NAC, MYB, zinc finger, LIM domain, MADS-box, AUX/IAA and homeodomain (HD) are believed to regulate secondary wall biosynthesis [6065]. MYBs and zinc fingers can recognise AC elements in the promoters of many monolignol biosynthesis genes [6567]. Some members of the NAC and MYB families are the key switches in the transcriptional network for secondary wall development [65].

Three radiata pine ESTs of R2R3-type MYB are most homolgous to the three secondary xylem MYB genes (MYB2, MYB4 and MYB8) in loblolly pine and Picea glauca [68]. In loblolly pine PtMYB1 and PtMYB4 are transcriptional activators of lignin synthesis [66, 67]. The Eucalyptus EgMYB2 regulates lignin biosynthesis through binding to AC element [69]. Homeobox domain (HD) transcription factors were also identified in the radiata pine EST resource with 29 ESTs (two contigs). Three radiata pine ESTs were annotated as AUX/IAA genes. Auxin can rapidly induce AUX/IAA gene expression [70] and five AUX/IAA genes from hybrid aspen are up-regulated in xylem [71].

In radiata pine EST resource Class III HD-Zip genes were represented by 15 ESTs (six unigenes). Five Arabidopsis HD-Zip III genes are up-regulated in secondary xylem [63, 72] and the hybrid aspen class III HD-Zip gene (PtaHB1) is closely associated with wood formation [73]. Eleven radiata pine ESTs (four unigenes) were annotated as LIM domain and four ESTs (one unigene) as MADS-box. A tobacco LIM protein can bind to the Pal-box sequence in the promoter regions of several phenylpropanoid biosynthesis genes [61]. Some Arabidopsis MADS-box genes have been implicated in the regulation of lignin biosynthesis [62].

Gene expression and wood properties

Wood formation is a complex and continuous process involving a series of developmental stages during which considerable variation in wood properties is observed. Compared to mature wood, juvenile wood shows higher spiral grain, lower density, higher microfibril angle (MFA), more longitudinal shrinkage, lower cellulose content, higher lignin content, more pectin and shorter tracheids [1, 3, 74]. Compared to latewood, earlywood has higher growth rate, thinner cell walls, larger radial lumen, more lignin, lower hemicellulose, lower pectin, slightly lower cellulose, higher MFA and lower density [7476].

Most of the distinguishing properties of juvenile wood are due to the high proportion of earlywood in the juvenile wood [77]. The SilviScan profiling [78] of mature radiata pine trees revealed the unique morphology and wood properties of juvenile earlywood compared to other wood development stages (Figure 5 and Additional file 6). Juvenile earlywood forms a larger proportion in the early rings and has lower density, higher microfibril angle (MFA), lower modulus of elasticity (MOE) and thinner cell walls. These unique phenotypic characteristics of juvenile earlywood are likely to be caused by its distinct transcriptome (Figure 3A, B). Some genes involved in cellulose synthesis and secondary wall formation are more strongly expressed in latewood and mature wood than in earlywood and juvenile wood, respectively (P-value < 0.05) (Additional file 3 and 4), which may be associated with some of the observed differences in wood quality between the different wood tissues, such as cellulose content and cell wall thickness. Many genes related to lignin biosynthesis are more abundant in earlywood and mature wood than in latewood and juvenile wood, respectively; however, only some genes are statistically significant (P-value < 0.05) (Table 7). These differences in gene abundance may give rise to the higher lignin content found in earlywood and mature wood.

Figure 5
figure 5

A wood core and SilviScan profile of wood density for a 32-year-old radiata pine tree. The cross section of wood core sampled at 1.3 m height shows the annual change in width and colour of earlywood and latewood within each ring. Wood density is the most important wood trait for the sawmill timber industry. SilviScan profiling for wood density of radiata pine revealed the distinct characteristics of juvenile wood, particularly juvenile earlywood, compared to transition and mature wood. SilviScan analysis was performed in the method of Evans, et al, 2000 [78].

Table 7 Comparisons of EST abundance of genes related to lignin biosynthesis in different wood development stages.

Although Audic and Claverei proposed a statistical method [79] to test the significance of digital gene expression, the preferentially expressed genes (even statistically significant genes) derived from gene abundance analysis still require further validation, such as microarray experiments, real time RT-PCR or other alternative methods. Multiplex ligation-dependent probe amplification (MLPA) [80] was used in this study for validation of selected genes (Table 8). The normalized ratio of EST abundance and MLPA gene expression ratio is highly comparable for a proline-rich protein (PRP) gene in both earlywood and latewood at transition age, as well as for a dehydrin gene in latewood at transition age. The MLPA gene expressions of AGP4 and peroxidase at both juvenile and transition ages confirmed their high EST abundances in earlywood. However, MLPA expression values of some genes may differ from their EST abundances (Table 8), suggesting EST abundance could not infer the exact gene expression level.

Table 8 RT-MLPA validation of four genes preferentially represented in earlywood and latewood.


The radiata pine genomic resource was developed from six developing xylem libraries with 6,389 high quality ESTs and 3,304 unigenes. This is the first large scale and publicly available genomic resource for radiata pine. Many genes involved in cell wall biosynthesis and transcription factors were identified in the wood formation of radiata pine. Comparative analysis among different development stages revealed a distinct transcriptome in juvenile earlywood. Genes with relatively more expression in earlywood, latewood, juvenile wood and mature wood were also identified, respectively. The identified genes in this study will be candidates for functional genomics and association studies in radiata pine. This genomic resource will also be valuable for comparative genomics of wood formation in forest trees.


Plant material

In order to broadly represent the xylogenesis transcriptome in radiata pine, developing xylem tissues were sampled at six critical development stages: earlywood (spring) and latewood (autumn) tissues collected at juvenile (7 yrs), transition (11 yrs) and mature (30 yrs) ages. Two 7-year-old and two 30-year-old trees were sampled at Yarralumla ACT in August 2004 (spring) and April 2005 (autumn). Three 11-year-old trees were sampled at Bondo NSW in September 2003 (spring) and April 2004 (autumn). Developing xylem tissues were collected by scraping the thin (approximately 1.0 mm) and partially lignified layer on the exposed xylem surface at breast height. All xylem tissues were immediately frozen in liquid nitrogen in the field, and then stored in the laboratory at -80°C for later RNA extraction.

cDNA library construction and colony isolation

Total RNA was extracted using the method of Chang, et al [81] with slight modification. Poly(A)+ mRNA was isolated using the polyATtract system III/IV (Promega, CA). Five micrograms of mRNA were used as starting template for cDNA library construction using the ZAP-cDNAGigapack III Gold Cloning Kit (Stratagene, CA). After first and second strand cDNA synthesis, the radioactive cDNA samples were checked on an alkaline agarose gel and exposed to x-ray film. The double strand cDNAs were fractionated using a drip column filled with Sepharose CL-2B gel. The fractions at approximately 600 bp or more were pooled and ligated into the EcoRI/XhoI cloning site in the Uni-ZAP XR vector. One to two microliters of ligated cDNA inserts were packaged using Gigapack III Gold Packaging Extract. To make a large quantity of high titer stock of the lambda phage library, the primary libraries were amplified according to the manufacturer's protocols (Stratagene, CA). The pBluescript phagemids containing cDNA inserts were mass excised in vivo from the Uni-ZAP XR vector using Ex-Assist helper phage and XL1-Blue MRF'. The titer of lambda phage and phagemid libraries was measured using the host cells of XL1-Blue MRF' strain and SOLR strain, respectively. Library quality and the size of cDNA inserts were determined by PCR screening of 96 randomly selected clones. All lambda phage cDNA libraries were stored at -80°C.

The excised phagemids were replicated in SOLR cells and grown on LB-ampicillin agar plates overnight at 37°C for colony isolation. All phagemid colonies were picked out and put into LB broth with ampicillin. Colony picking was done by a Versarray Colony Picking Robot (Bio-Rad, CA) or manually with a tooth-pick. The picked colonies were cultured overnight at 37°C with shaking. These suspension cultures were used for PCR reactions and EST sequencing, or stored at -80°C in glycerol stock for later use.

EST sequencing and assembly

An average of 1,200 cDNA clones from each of the six libraries was used for EST sequencing. Approximately 8,000 sequencing reactions were performed on a total of 7,200 cDNA clones. The cDNA inserts were PCR amplified using the M13 forward and reverse primers followed by clean-up with ExoSap (GE Healthcare, UK). The sequencing primer for the 5' end of cDNA inserts was the SK, T3 or M13 primer. A small proportion of sequences were obtained from the 3' end using the M13 forward primer. The sequencing reaction was performed using BigDye 3.1. After a quick start at 96°C 1 min, the reaction was cycled 25 times at 96°C 1 sec, 50°C 5 sec and 60°C 4 min, followed by holding at 4°C. After sodium acetate-EDTA-ethanol precipitation, the sequencing reaction was run using ABI 3730 capillary sequencers (Applied Biosystems, CA). The trace files were base called by Sequencing Analysis v5.2 which was integrated into the ABI 3730 capillary sequencers.

The raw EST sequences were processed using Sequencher 4.7 (Gene Codes Corporation, MI) to trim vector and ambiguous ends. The poly(A) in the EST sequences was deleted manually. A total of 6,389 high quality ESTs with at least 100 bp in length were obtained. These ESTs were submitted to dbEST at the National Center for Biotechnology Information with Genbank accession numbers FE518213 to FE524601. The 5' end ESTs from 5,952 different clones were assembled to generate consensus sequences for unigenes, including contigs and singletons. The EST assembly was performed using the CAP3 program [82] integrated in BIO301, an automated EST sequence management and functional annotation system [83]. In order to minimize chimeric contigs in assembly, an overlap of at least 40 bp and identity of sequence of at least 95% were used as thresholds in the assembly. The number of ESTs in each contig was used to estimate the redundancy in the EST sequencing.

Annotation and functional classification

The high quality ESTs and derived unigenes were used to search the NCBI nr (non-redundant) database using blastx and tblastx (E-value ≤ 10-5). They were also used to search the UniProt known protein database [84] using blastx (E-value ≤ 10-5). The sequences with no matches in UniProt were further blasted against the TIGR all tentative consensus sequence gene indices database [85] using blastn (E-value ≤ 10-15). Putative functions for ESTs and unigenes were assigned with GO (Gene Ontology) terms [86]. To identify the known protein families, the ESTs were also searched with the Pfam protein family database [87] using blastx (E-value ≤ 10-5). Initial functional classification was based on the assigned GO terms with two levels of classification. Gene enrichment analysis and further functional classification on GO terms were conducted using the DAVID Bioinformatics Resources 2008 [23, 24]

Identification and validation of differentially represented genes

Comparison of EST abundance was used to identify differentially represented genes in different libraries or combined libraries. Number of ESTs for each gene in different libraries was previously normalized at the presumed same number of ESTs in each library. A normalized ratio of EST abundance was calculated for the comparisons. The significance of differentially represented genes was statistically tested using the method from Audic and Claverie [79].

Preferentially represented genes were validated using the strategy of multiplex ligation-dependent probe amplification (MLPA) [80]. More specifically we used the RT-MLPA protocol for mRNA detection and quantification. Four genes (AGP4, proline-rich protein, peroxidase and dehydrin) preferentially represented in the combined earlywood or latewood libraries were included in the validation. Gene expressions of these four genes were detected in earlywood and latewood tissues from three radiata pine trees at transition age (11 yrs). In addition, expressions of AGP4 and peroxidase were also measured in earlywood and latewood tissues from eight radiata pine trees at juvenile age (5 yrs). We used four technical replicates in RT-MLPA. Reverse transcription for ~400 ng total RNA after DNase treatment was performed using the ImProm-II Reverse Transcription System (Promega, WI) and oligo (dT)15. Synthesized cDNA was hybridized with mixed NPK and LIG probes designed for the validated genes (Additional file 7) at 60°C overnight, followed by ligation and PCR amplification with SALSA D4 primer. Mixture PCR products from multiple genes were separated and analysed using the CEQ™ 8000 Genetic Analysis System (Beckman Coulter, CA).



million base pairs


expressed sequence tag




gene ontology

CesA :

cellulose synthase

4CL :

4-cinnamoyl CoA ligase

C3H :

p-coumarate 3-hydroxylase

C4H :

cinnamate 4-hydroxylase


cinnamyl alcohol dehydrogenase


caffeoyl CoA O-methyltransferase


cinnamoyl CoA reductase


caffeic acid O-methyltransferase


phenylalanine ammonia-lyase


S-adenosylmethionine synthetase

SuSy :

sucrose synthase

MetE :

methionine synthase (cobalamin-independent)




arabinogalactan protein


fasciclin-like arabinogalactan protein


major intrinsic protein


proline-rich protein


water deficit inducible protein


single nucleotide polymorphisms


transcription factor


microfibril angle


juvenile wood


transition wood


mature wood






juvenile earlywood


juvenile latewood


transition earlywood


transition latewood


mature earlywood


mature latewood


multiplex ligation-dependent probe amplification


reverse transcriptase MLPA.


  1. Wu HX, Eldridge KG, Matheson AC, Powell MP, McRae TA: Achievement in forest tree improvement in Australia and New Zealand 8. Successful introduction and breeding of radiata pine to Australia. Australian Forestry. 2007, 70: 215-225.

    Article  Google Scholar 

  2. Powell MB, McRae TA, Wu HX, Dutkowski GW, Pilbeam DJ: Breeding Strategy for Pinus radiata in Australia. Proceedings of Forest Genetics and Tree Breeding in the Age of Genomics: Progress and Future. 2004, 308-318. IUFRO Joint Conference of Division 2: 1–5 November; Charleston, South Carolina, USA

    Google Scholar 

  3. Gapare WJ, Wu HX, Abarquez A: Genetic control of the time of transition from juvenile to mature wood in Pinus radiata D. Don. Annals of Forest Science. 2006, 63 (8): 871-878. 10.1051/forest:2006070.

    Article  Google Scholar 

  4. Allona I, Quinn M, Shoop E, Swope K, St Cyr S, Carlis J, Riedl J, Retzel E, Campbell MM, Sederoff R, Whetten RW: Analysis of xylem formation in pine by cDNA sequencing. Proc Natl Acad Sci USA. 1998, 95 (16): 9693-9698. 10.1073/pnas.95.16.9693.

    Article  PubMed Central  CAS  PubMed  Google Scholar 

  5. Hertzberg M, Aspeborg H, Schrader J, Andersson A, Erlandsson R, Blomqvist K, Bhalerao R, Uhlen M, Teeri TT, Lundeberg J, Sundberg B, Nilsson P, Sandberg G: A transcriptional roadmap to wood formation. Proc Natl Acad Sci USA. 2001, 98 (25): 14732-14737. 10.1073/pnas.261293398.

    Article  PubMed Central  CAS  PubMed  Google Scholar 

  6. Kirst M, Johnson AF, Baucom C, Ulrich E, Hubbard K, Staggs R, Paule C, Retzel E, Whetten R, Sederoff R: Apparent homology of expressed genes from wood-forming tissues of loblolly pine (Pinus taeda L.) with Arabidopsis thaliana. Proc Natl Acad Sci USA. 2003, 100 (12): 7383-7388. 10.1073/pnas.1132171100.

    Article  PubMed Central  PubMed  Google Scholar 

  7. Schrader J, Nilsson J, Mellerowicz E, Berglund A, Nilsson P, Hertzberg M, Sandberg G: A high-resolution transcript profile across the wood-forming meristem of poplar identifies potential regulators of cambial stem cell identity. Plant Cell. 2004, 16 (9): 2278-2292. 10.1105/tpc.104.024190.

    Article  PubMed Central  CAS  PubMed  Google Scholar 

  8. Sterky F, Bhalerao RR, Unneberg P, Segerman B, Nilsson P, Brunner AM, Charbonnel-Campaa L, Lindvall JJ, Tandre K, Strauss SH, Sundberg B, Gustafsson P, Uhlen M, Bhalerao RP, Nilsson O, Sandberg G, Karlsson J, Lundeberg J, Jansson S: A Populus EST resource for plant functional genomics. Proc Natl Acad Sci USA. 2004, 101 (38): 13951-13956. 10.1073/pnas.0401641101.

    Article  PubMed Central  PubMed  Google Scholar 

  9. Sterky F, Regan S, Karlsson J, Hertzberg M, Rohde A, Holmberg A, Amini B, Bhalerao R, Larsson M, Villarroel R, Van Montagu M, Sandberg G, Olsson O, Teeri TT, Boerjan W, Gustafsson P, Uhlen M, Sundberg B, Lundeberg J: Gene discovery in the wood-forming tissues of poplar: Analysis of 5,692 expressed sequence tags. Proc Natl Acad Sci USA. 1998, 95: 13330-13335. 10.1073/pnas.95.22.13330.

    Article  PubMed Central  CAS  PubMed  Google Scholar 

  10. Whetten R, Sun YH, Zhang Y, Sederoff R: Functional genomics and cell wall biosynthesis in loblolly pine. Plant Mol Biol. 2001, 47 (1–2): 275-291. 10.1023/A:1010652003395.

    Article  CAS  PubMed  Google Scholar 

  11. Andersson-Gunneras S, Mellerowicz EJ, Love J, Segerman B, Ohmiya Y, Coutinho PM, Nilsson P, Henrissat B, Moritz T, Sundberg B: Biosynthesis of cellulose-enriched tension wood in Populus: global analysis of transcripts and metabolites identifies biochemical and developmental regulators in secondary wall biosynthesis. Plant J. 2006, 45 (2): 144-165. 10.1111/j.1365-313X.2005.02584.x.

    Article  PubMed  Google Scholar 

  12. Moreau C, Aksenov N, Lorenzo MG, Segerman B, Funk C, Nilsson P, Jansson S, Tuominen H: A genomic approach to investigate developmental cell death in woody tissues of Populus trees. Genome Biol. 2005, 6 (4): R34-10.1186/gb-2005-6-4-r34.

    Article  PubMed Central  PubMed  Google Scholar 

  13. Pavy N, Johnson JJ, Crow JA, Paule C, Kunau T, MacKay J, Retzel EF: ForestTreeDB: a database dedicated to the mining of tree transcriptomes. Nucleic Acids Res. 2007, 35: D888-D894. 10.1093/nar/gkl882.

    Article  PubMed Central  CAS  PubMed  Google Scholar 

  14. Pavy N, Paule C, Parsons L, Crow JA, Morency MJ, Cooke J, Johnson JE, Noumen E, Guillet-Claude C, Butterfield Y, Barber S, Yang G, Liu J, Stott J, Kirkpatrick R, Siddiqui A, Holt R, Marra M, Seguin A, Retzel E, Bousquet J, MacKay J: Generation, annotation, analysis and database integration of 16,500 white spruce EST clusters. BMC Genomics. 2005, 6: 144-10.1186/1471-2164-6-144.

    Article  PubMed Central  PubMed  Google Scholar 

  15. Qiu D, Wilson IW, Gan S, Washusen R, Moran GF, Southerton SG: Gene expression in Eucalyptus branch wood with marked variation in cellulose microfibril orientation and lacking G-layers. New Phytologist. 2008, 179 (1): 94-103. 10.1111/j.1469-8137.2008.02439.x.

    Article  CAS  PubMed  Google Scholar 

  16. The Picea sitchensis Unigene Library Browser. []

  17. Tuskan GA, DiFazio S, Jansson S, Bohlmann J, Grigoriev I, Hellsten U, Putnam N, Ralph S, Rombauts S, Salamov A, Schein J, Sterck L, Aerts A, Bhalerao RR, Bhalerao RP, Blaudez D, Boerjan W, Brun A, Brunner A, Busov V, Campbell M, Carlson J, Chalot M, Chapman J, Chen GL, Cooper D, Coutinho PM, Couturier J, Covert S, Cronk Q, Cunningham R, Davis J, Degroeve S, Dejardin A, Depamphilis C, Detter J, Dirks B, Dubchak I, Duplessis S, Ehlting J, Ellis B, Gendler K, Goodstein D, Gribskov M, Grimwood J, Groover A, Gunter L, Hamberger B, Heinze B, Helariutta Y, Henrissat B, Holligan D, Holt R, Huang W, Islam-Faridi N, Jones S, Jones-Rhoades M, Jorgensen R, Joshi C, Kangasjarvi J, Karlsson J, Kelleher C, Kirkpatrick R, Kirst M, Kohler A, Kalluri U, Larimer F, Leebens-Mack J, Leple JC, Locascio P, Lou Y, Lucas S, Martin F, Montanini B, Napoli C, Nelson DR, Nelson C, Nieminen K, Nilsson O, Pereda V, Peter G, Philippe R, Pilate G, Poliakov A, Razumovskaya J, Richardson P, Rinaldi C, Ritland K, Rouze P, Ryaboy D, Schmutz J, Schrader J, Segerman B, Shin H, Siddiqui A, Sterky F, Terry A, Tsai CJ, Uberbacher E, Unneberg P, Vahala J, Wall K, Wessler S, Yang G, Yin T, Douglas C, Marra M, Sandberg G, Peer Van de Y, Rokhsar D: The genome of black cottonwood, Populus trichocarpa (Torr. & Gray). Science. 2006, 313: 1596-1604. 10.1126/science.1128691.

    Article  CAS  PubMed  Google Scholar 

  18. DOE Joint Genome Institute Announces. 2008 Genome Sequencing Targets. []

  19. Wakamiya I, Newton RJ, Johnston JS, Price HJ: Genome Size and Environmental-Factors in the Genus Pinus. Am J Bot. 1993, 80 (11): 1235-1241. 10.2307/2445706.

    Article  Google Scholar 

  20. Cato S, McMillan L, Donaldson L, Richardson T, Echt C, Gardner R: Wood formation from the base to the crown in Pinus radiata: Gradients of tracheid wall thickness, wood density, radial growth rate and gene expression. Plant Mol Biol. 2006, 60 (4): 565-581. 10.1007/s11103-005-5022-9.

    Article  CAS  PubMed  Google Scholar 

  21. Aquea F, Arce-Johnson P: Identification of genes expressed during early somatic embryogenesis in Pinus radiata. Plant Physiology and Biochemistry. 2008, 46 (5–6): 559-568. 10.1016/j.plaphy.2008.02.012.

    Article  CAS  PubMed  Google Scholar 

  22. Aspeborg H, Schrader J, Coutinho PM, Stam M, Kallas A, Djerbi S, Nilsson P, Denman S, Amini B, Sterky F, Master E, Sandberg G, Mellerowicz E, Sundberg B, Henrissat B, Teeri TT: Carbohydrate-active enzymes involved in the secondary cell wall biogenesis in hybrid aspen. Plant Physiol. 2005, 137 (3): 983-997. 10.1104/pp.104.055087.

    Article  PubMed Central  CAS  PubMed  Google Scholar 

  23. Huang DW, Sherman BT, Tan Q, Kir J, Liu D, Bryant D, Guo Y, Stephens R, Baseler MW, Lane HC, Lempicki RA: DAVID Bioinformatics Resources: expanded annotation database and novel algorithms to better extract biology from large gene lists. Nucleic Acids Res. 2007, 35: W169-W175. 10.1093/nar/gkm415.

    Article  PubMed Central  PubMed  Google Scholar 

  24. Huang DW, Sherman BT, Tan Q, Collins JR, Alvord WG, Roayaei J, Stephens R, Baseler MW, Lane HC, Lempicki RA: The DAVID Gene Functional Classification Tool: a novel biological module-centric algorithm to functionally analyze large gene lists. Genome Biol. 2007, 8 (9): R183-10.1186/gb-2007-8-9-r183.

    Article  PubMed Central  PubMed  Google Scholar 

  25. Girke T, Lauricha J, Tran H, Keegstra K, Raikhel N: The cell wall navigator database. A systems-based approach to organism-unrestricted mining of protein families involved in cell wall metabolism. Plant Physiol. 2004, 136 (2): 3003-3008. 10.1104/pp.104.049965.

    Article  PubMed Central  CAS  PubMed  Google Scholar 

  26. Guillaumie S, San-Clemente H, Deswarte C, Martinez Y, Lapierre C, Murigneux A, Barriere Y, Pichon M, Goffner D: MAIZEWALL. Database and developmental gene expression profiling of cell wall biosynthesis and assembly in maize. Plant Physiol. 2007, 143 (1): 339-363. 10.1104/pp.106.086405.

    Article  PubMed Central  CAS  PubMed  Google Scholar 

  27. Reynard GJ, Reynolds W, Verma R, Deshaies RJ: Cks1 is required for G(1) cyclin-cyclin-dependent kinase activity in budding yeast. Mol Cell Biol. 2000, 20 (16): 5858-5864. 10.1128/MCB.20.16.5858-5864.2000.

    Article  PubMed Central  CAS  PubMed  Google Scholar 

  28. Guo AY, Chen X, Gao G, Zhang H, Zhu QH, Liu XC, Zhong YF, Gu XC, He K, Luo JC: PlantTFDB: a comprehensive plant transcription factor database. Nucleic Acids Res. 2008, 36: D966-D969. 10.1093/nar/gkm841.

    Article  PubMed Central  CAS  PubMed  Google Scholar 

  29. Boerjan W, Ralph J, Baucher M: Lignin biosynthesis. Annual Review of Plant Biology. 2003, 54: 519-546. 10.1146/annurev.arplant.54.031902.134938.

    Article  CAS  PubMed  Google Scholar 

  30. Ye ZH, Kneusel RE, Matern U, Varner JE: An alternative methylation pathway in lignin biosynthesis in Zinnia. Plant Cell. 1994, 6 (10): 1427-1439. 10.1105/tpc.6.10.1427.

    Article  PubMed Central  CAS  PubMed  Google Scholar 

  31. Burlat V, Kwon M, Davin LB, Lewis NG: Dirigent proteins and dirigent sites in lignifying tissues. Phytochemistry. 2001, 57 (6): 883-897. 10.1016/S0031-9422(01)00117-0.

    Article  CAS  PubMed  Google Scholar 

  32. Krauskopf E, Harris PJ, Putterill J: The cellulose synthase gene PrCESA10 is involved in cellulose biosynthesis in developing tracheids of the gymnosperm Pinus radiata. Gene. 2005, 350 (2): 107-116. 10.1016/j.gene.2005.02.018.

    Article  CAS  PubMed  Google Scholar 

  33. Edgar RC: MUSCLE: multiple sequence alignment with high accuracy and high throughput. Nucleic Acids Res. 2004, 32 (5): 1792-1797. 10.1093/nar/gkh340.

    Article  PubMed Central  CAS  PubMed  Google Scholar 

  34. 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.

    Article  CAS  PubMed  Google Scholar 

  35. Richmond TA, Somerville CR: The cellulose synthase superfamily. Plant Physiol. 2000, 124 (2): 495-498. 10.1104/pp.124.2.495.

    Article  PubMed Central  CAS  PubMed  Google Scholar 

  36. Djerbi S, Lindskog M, Arvestad L, Sterky F, Teeri TT: The genome sequence of black cottonwood (Populus trichocarpa) reveals 18 conserved cellulose synthase (CesA) genes. Planta. 2005, 221 (5): 739-746. 10.1007/s00425-005-1498-4.

    Article  CAS  PubMed  Google Scholar 

  37. Ohlsson AB, Djerbi S, Winzell A, Bessueille L, Staldal V, Li XG, Blomqvist K, Bulone V, Teeri TT, Berglund T: Cell suspension cultures of Populus tremula × P. tremuloides exhibit a high level of cellulose synthase gene expression that coincides with increased in vitro cellulose synthase activity. Protoplasma. 2006, 228 (4): 221-229. 10.1007/s00709-006-0156-4.

    Article  CAS  PubMed  Google Scholar 

  38. Li X, Tian J: Differential expression on cell wall formative genes in cell suspension cultures of Populus tomentosa Carr. Yi Chuan. 2004, 26 (5): 676-682.

    CAS  PubMed  Google Scholar 

  39. Nairn CJ, Haselkorn T: Three loblolly pine CesA genes expressed in developing xylem are orthologous to secondary cell wall CesA genes of angiosperms. New Phytologist. 2005, 166 (3): 907-915. 10.1111/j.1469-8137.2005.01372.x.

    Article  CAS  PubMed  Google Scholar 

  40. Nicol F, His I, Jauneau A, Vernhettes S, Canut H, Hofte H: A plasma membrane-bound putative endo-1,4-beta-D-glucanase is required for normal wall assembly and cell elongation in Arabidopsis. EMBO J. 1998, 17 (19): 5563-5576. 10.1093/emboj/17.19.5563.

    Article  PubMed Central  CAS  PubMed  Google Scholar 

  41. Uggla C, Magel E, Moritz T, Sundberg B: Function and dynamics of auxin and carbohydrates during earlywood/latewood transition in Scots pine. Plant Physiol. 2001, 125 (4): 2029-2039. 10.1104/pp.125.4.2029.

    Article  PubMed Central  CAS  PubMed  Google Scholar 

  42. Witt HJ: UDP-glucose metabolism during differentiation and dedifferentiation of Riella-Helicophylla. Journal of Plant Physiology. 1992, 140 (3): 276-281.

    Article  CAS  Google Scholar 

  43. Darley CP, Forrester AM, McQueen-Mason SJ: The molecular basis of plant cell wall extension. Plant Mol Biol. 2001, 47 (2–2): 179-195. 10.1023/A:1010687600670.

    Article  CAS  PubMed  Google Scholar 

  44. Bourquin V, Nishikubo N, Abe H, Brumer H, Denman S, Eklund M, Christiernin M, Teeri TT, Sundberg B, Mellerowicz EJ: Xyloglucan endotransglycosylases have a function during the formation of secondary cell walls of vascular tissues. Plant Cell. 2002, 14 (12): 3073-3088. 10.1105/tpc.007773.

    Article  PubMed Central  CAS  PubMed  Google Scholar 

  45. Yang SH, Wang HY, Sathyan P, Stasolla C, Loopstra CA: Real-time RT-PCR analysis of loblolly pine (Pinus taeda) arabinogalactan-protein and arabinogalactan-protein-like genes. Physiologia Plantarum. 2005, 124 (1): 91-106. 10.1111/j.1399-3054.2005.00479.x.

    Article  CAS  Google Scholar 

  46. Zhang Y, Brown G, Whetten R, Loopstra CA, Neale D, Kieliszewski MJ, Sederoff RR: An arabinogalactan protein associated with secondary cell wall formation in differentiating xylem of loblolly pine. Plant Mol Biol. 2003, 52 (1): 91-102. 10.1023/A:1023978210001.

    Article  PubMed  Google Scholar 

  47. Lafarguette F, Leple JC, Dejardin A, Laurans F, Costa G, Lesage-Descauses MC, Pilate G: Poplar genes encoding fasciclin-like arabinogalactan proteins are highly expressed in tension wood. New Phytologist. 2004, 164 (1): 107-121. 10.1111/j.1469-8137.2004.01175.x.

    Article  CAS  Google Scholar 

  48. Sardar HS, Yang J, Showalter AM: Molecular interactions of arabinogalactan proteins with cortical microtubules and F-actin in bright yellow-2 tobacco cultured cells. Plant Physiol. 2006, 142 (4): 1469-1479. 10.1104/pp.106.088716.

    Article  PubMed Central  CAS  PubMed  Google Scholar 

  49. Mathur J, Hulskamp M: Microtubules and microfilaments in cell morphogenesis in higher plants. Curr Biol. 2002, 12 (19): R669-R676. 10.1016/S0960-9822(02)01164-8.

    Article  CAS  PubMed  Google Scholar 

  50. Wasteneys GO, Galway ME: Remodelling the cytoskeleton for growth and form: An overview with some new views. Annual Review of Plant Biology. 2003, 54: 691-722. 10.1146/annurev.arplant.54.031902.134818.

    Article  CAS  PubMed  Google Scholar 

  51. Spokevicius AV, Southerton SG, MacMillan CP, Qiu D, Gan S, Tibbits JFG, Moran GF, Bossinger G: Beta-tubulin affects cellulose microfibril orientation in plant secondary fibre cell walls. Plant J. 2007, 51 (4): 717-726. 10.1111/j.1365-313X.2007.03176.x.

    Article  CAS  PubMed  Google Scholar 

  52. Oakley RV, Wang YS, Ramakrishna W, Harding SA, Tsai CJ: Differential expansion and expression of alpha- and beta-tubulin gene families in Populus. Plant Physiol. 2007, 145: 961-973. 10.1104/pp.107.107086.

    Article  PubMed Central  CAS  PubMed  Google Scholar 

  53. McDowell JM, Huang SR, McKinney EC, An YQ, Meagher RB: Structure and evolution of the actin gene family in Arabidopsis thaliana. Genetics. 1996, 142 (2): 587-602.

    PubMed Central  CAS  PubMed  Google Scholar 

  54. McKinney EC, Kandasamy MK, Meagher RB: Arabidopsis contains ancient classes of differentially expressed actin-related protein genes. Plant Physiol. 2002, 128 (3): 997-1007. 10.1104/pp.010906.

    Article  PubMed Central  CAS  PubMed  Google Scholar 

  55. Barrero RA, Umeda M, Yamamura S, Uchimiya H: Arabidopsis CAP regulates the actin cytoskeleton necessary for plant cell elongation and division. Plant Cell. 2002, 14 (1): 149-163. 10.1105/tpc.010301.

    Article  PubMed Central  CAS  PubMed  Google Scholar 

  56. Kost B, Chua NH: The plant cytoskeleton: Vacuoles and cell walls make the difference. Cell. 2002, 108 (1): 9-12. 10.1016/S0092-8674(01)00634-1.

    Article  CAS  PubMed  Google Scholar 

  57. Staiger CJ: Signaling to the actin cytoskeleton in plants. Annual Review of Plant Physiology and Plant Molecular Biology. 2000, 51: 257-288. 10.1146/annurev.arplant.51.1.257.

    Article  CAS  PubMed  Google Scholar 

  58. Vale RD: The molecular motor toolbox for intracellular transport. Cell. 2003, 112 (4): 467-480. 10.1016/S0092-8674(03)00111-9.

    Article  CAS  PubMed  Google Scholar 

  59. Preuss ML, Kovar DR, Lee YRJ, Staiger CJ, Delmer DP, Liu B: A plant-specific kinesin binds to actin microfilaments and interacts with cortical microtubules in cotton fibers. Plant Physiol. 2004, 136 (4): 3945-3955. 10.1104/pp.104.052340.

    Article  PubMed Central  CAS  PubMed  Google Scholar 

  60. Groover A, Robischon M: Developmental mechanisms regulating secondary growth in woody plants. Curr Opin Plant Biol. 2006, 9 (1): 55-58. 10.1016/j.pbi.2005.11.013.

    Article  CAS  PubMed  Google Scholar 

  61. Kawaoka A, Kaothien P, Yoshida K, Endo S, Yamada K, Ebinuma H: Functional analysis of tobacco LIM protein Ntlim1 involved in lignin biosynthesis. Plant J. 2000, 22 (4): 289-301. 10.1046/j.1365-313x.2000.00737.x.

    Article  CAS  PubMed  Google Scholar 

  62. Liljegren SJ, Ditta GS, Eshed HY, Savidge B, Bowman JL, Yanofsky MF: SHATTERPROOF MADS-box genes control seed dispersal in Arabidopsis. Nature. 2000, 404 (6779): 766-770. 10.1038/35008089.

    Article  CAS  PubMed  Google Scholar 

  63. Oh S, Park S, Han KH: Transcriptional regulation of secondary growth in Arabidopsis thaliana. J Exp Bot. 2003, 54 (393): 2709-2722. 10.1093/jxb/erg304.

    Article  CAS  PubMed  Google Scholar 

  64. Rogers LA, Dubos C, Surman C, Willment J, Cullis IF, Mansfield SD, Campbell MM: Comparison of lignin deposition in three ectopic lignification mutants. New Phytologist. 2005, 168 (1): 123-140. 10.1111/j.1469-8137.2005.01496.x.

    Article  CAS  PubMed  Google Scholar 

  65. Zhong RQ, Ye ZH: Regulation of cell wall biosynthesis. Curr Opin Plant Biol. 2007, 10: 564-572. 10.1016/j.pbi.2007.09.001.

    Article  CAS  PubMed  Google Scholar 

  66. Patzlaff A, McInnis S, Courtenay A, Surman C, Newman LJ, Smith C, Bevan MW, Mansfield S, Whetten RW, Sederoff RR, Campbell MM: Characterisation of a pine MYB that regulates lignification. Plant J. 2003, 36 (6): 743-754. 10.1046/j.1365-313X.2003.01916.x.

    Article  CAS  PubMed  Google Scholar 

  67. Patzlaff A, Newman LJ, Dubos C, Whetten R, Smith C, McInnis S, Bevan MW, Sederoff RR, Campbell MM: Characterisation of PtMYB1, an R2R3-MYB from pine xylem. Plant Mol Biol. 2003, 53 (4): 597-608. 10.1023/B:PLAN.0000019066.07933.d6.

    Article  CAS  PubMed  Google Scholar 

  68. Bedon F, Grima-Pettenati J, Mackay J: Conifer R2R3-MYB transcription factors: sequence analyses and gene expression in wood-forming tissues of white spruce (Picea glauca). BMC Plant Biology. 2007, 7: 17-10.1186/1471-2229-7-17.

    Article  PubMed Central  PubMed  Google Scholar 

  69. Goicoechea M, Lacombe E, Legay S, Mihaljevic S, Rech P, Jauneau A, Lapierre C, Pollet B, Verhaegen D, Chaubet-Gigot N, Grima-Pettenati J: EgMYB2, a new transcriptional activator from Eucalyptus xylem, regulates secondary cell wall formation and lignin biosynthesis. Plant J. 2005, 43 (4): 553-567. 10.1111/j.1365-313X.2005.02480.x.

    Article  CAS  PubMed  Google Scholar 

  70. Worley CK, Zenser N, Ramos J, Rouse D, Leyser O, Theologis A, Callis J: Degradation of Aux/IAA proteins is essential for normal auxin signalling. Plant J. 2000, 21 (6): 553-562. 10.1046/j.1365-313x.2000.00703.x.

    Article  CAS  PubMed  Google Scholar 

  71. Moyle R, Schrader J, Stenberg A, Olsson O, Saxena S, Sandberg G, Bhalerao RP: Environmental and auxin regulation of wood formation involves members of the Aux/IAA gene family in hybrid Aspen. Plant J. 2002, 31 (6): 675-685. 10.1046/j.1365-313X.2002.01386.x.

    Article  CAS  PubMed  Google Scholar 

  72. Zhao CS, Craig JC, Petzold HE, Dickerman AW, Beers EP: The xylem and phloem transcriptomes from secondary tissues of the Arabidopsis root-hypocotyl. Plant Physiol. 2005, 138 (2): 803-818. 10.1104/pp.105.060202.

    Article  PubMed Central  CAS  PubMed  Google Scholar 

  73. Ko JH, Prassinos C, Han KH: Developmental and seasonal expression of PtaHB1, a gene encoding a class III HD-Zip protein, is closely associated with secondary growth and inversely correlated with the level of microRNA (miR166). New Phytol. 2006, 169 (3): 469-478. 10.1111/j.1469-8137.2005.01623.x.

    Article  CAS  PubMed  Google Scholar 

  74. Bertaud F, Holmbom B: Chemical composition of earlywood and latewood in Norway spruce heartwood, sapwood and transition zone wood. Wood Science and Technology. 2004, 38 (4): 245-256. 10.1007/s00226-004-0241-9.

    Article  CAS  Google Scholar 

  75. Anagnost SE, Mark RE, Hanna RB: Variation of microfibril angle within individual tracheids. Wood and Fiber Science. 2002, 34 (2): 337-349.

    CAS  Google Scholar 

  76. Koubaa A, Zhang SYT, Makni S: Defining the transition from earlywood to latewood in black spruce based on intra-ring wood density profiles from X-ray densitometry. Annals of Forest Science. 2002, 59 (5–6): 511-518. 10.1051/forest:2002035.

    Article  Google Scholar 

  77. Ivkovich M, Namkoong G, Koshy M: Genetic variation in wood properties of interior spruce. II. Tracheid characteristics. Canadian Journal of Forestry Research. 2002, 32 (12): 2128-2139. 10.1139/x02-139.

    Article  Google Scholar 

  78. Evans R, Stringer S, Kibblewhite RP: Variation of microfibril angle, density and fibre orientation in twenty-nine Eucalyptus nitens trees. Appita Journal. 2000, 53 (6): 450-457.

    Google Scholar 

  79. Audic S, Claverie JM: The significance of digital gene expression profiles. Genome Res. 1997, 7 (10): 986-995.

    CAS  PubMed  Google Scholar 

  80. Schouten JP, McElgunn CJ, Waaijer R, Zwijnenburg D, Diepvens F, Pals G: Relative quantification of 40 nucleic acid sequences by multiplex ligation-dependent probe amplification. Nucleic Acids Res. 2002, 30 (12): E57-10.1093/nar/gnf056.

    Article  PubMed Central  PubMed  Google Scholar 

  81. Chang SJ, Puryear J, Cairney J: A simple and efficient method for isolating RNA from pine trees. Plant Molecular Biology Reporter. 1993, 11 (2): 113-116. 10.1007/BF02670468.

    Article  CAS  Google Scholar 

  82. Huang XQ, Madan A: CAP3: A DNA sequence assembly program. Genome Res. 1999, 9 (9): 868-877. 10.1101/gr.9.9.868.

    Article  PubMed Central  CAS  PubMed  Google Scholar 

  83. BIO301 – An automated functional annotation system for ESTs. []

  84. Bairoch A, Bougueleret L, Altairac S, Amendolia V, Auchincloss A, Puy GA, Axelsen K, Baratin D, Blatter MC, Boeckmann B, Bollondi L, Boutet E, Quintaje SB, Breuza L, Bridge A, Saux VBL, deCastro E, Ciampina L, Coral D, Coudert E, Cusin I, David F, Delbard G, Dornevil D, Duek-Roggli P, Duvaud S, Estreicher A, Famiglietti L, Farriol-Mathis N, Ferro S, Feuermann M, Gasteiger E, Gateau A, Gehant S, Gerritsen V, Gos A, Gruaz-Gumowski N, Hinz U, Hulo C, Hulo N, Innocenti A, James J, Jain E, Jimenez S, Jungo F, Junker V, Keller G, Lachaize C, Lane-Guermonprez L, Langendijk-Genevaux P, Lara V, Le Mercier P, Lieberherr D, Lima TD, Mangold V, Martin X, Michoud K, Moinat M, Morgat A, Nicolas M, Paesano S, Pedruzzi I, Perret D, Phan I, Pilbout S, Pillet V, Poux S, Pozzato M, Redaschi N, Reynaud S, Rivoire C, Roechert B, Sapsezian C, Schneider M, Sigrist C, Sonesson K, Staehli S, Stutz A, Sundaram S, Tognolli M, Verbregue L, Veuthey AL, Vitorello C, Yip L, Zuletta LF, Apweiler R, Alam-Faruque Y, Barrell D, Bower L, Browne P, Chan WM, Daugherty L, Donate ES, Eberhardt R, Fedotov A, Foulger R, Frigerio G, Garavelli J, Golin R, Horne A, Jacobsen J, Kleen M, Kersey P, Laiho K, Legge D, Magrane M, Martin MJ, Monteiro P, O'Donovan C, Orchard S, O'Rourke J, Patient S, Pruess M, Sitnov A, Whitefield E, Wieser D, Lin Q, Rynbeek M, di Martino G, Donnelly M, van Rensburg P, Wu C, Arighi C, Arminski L, Barker W, Chen YX, Crooks D, Hu ZZ, Hua HK, Huang HZ, Kahsay R, Mazumder R, McGarvey P, Natale D, Nikolskaya AN, Petrova N, Suzek B, Vasudevan S, Vinayaka CR, Yeh LS, Zhang J, UniProt C: The Universal Protein Resource (UniProt). Nucleic Acids Res. 2008, 36: D190-D195. 10.1093/nar/gkn141.

    Article  Google Scholar 

  85. Lee Y, Tsai J, Sunkara S, Karamycheva S, Pertea G, Sultana R, Antonescu V, Chan A, Cheung F, Quackenbush J: The TIGR Gene Indices: clustering and assembling EST and known genes and integration with eukaryotic genomes. Nucleic Acids Res. 2005, 33: D71-D74. 10.1093/nar/gki064.

    Article  PubMed Central  CAS  PubMed  Google Scholar 

  86. Harris MA, Deegan JI, Lomax J, Ashburner M, Tweedie S, Carbon S, Lewis S, Mungall C, Day-Richter J, Eilbeck K, Blake JA, Bult C, Diehl AD, Dolan M, Drabkin H, Eppig JT, Hill DP, Ni L, Ringwald M, Balakrishnan R, Binkley G, Cherry JM, Christie KR, Costanzo MC, Dong Q, Engel SR, Fisk DG, Hirschman JE, Hitz BC, Hong EL, Krieger CJ, Miyasato SR, Nash RS, Park J, Skrzypek MS, Weng S, Wong ED, Zhu KK, Botstein D, Dolinski K, Livstone MS, Oughtred R, Berardini T, Li DH, Rhee SY, Apweiler R, Barrell D, Camon E, Dimmer E, Huntley R, Mulder N, Khodiyar VK, Lovering RC, Povey S, Chisholm R, Fey P, Gaudet P, Kibbe W, Kishore R, Schwarz EM, Sternberg P, Van Auken K, Giglio MG, Hannick L, Wortman J, Aslett M, Berriman M, Wood V, Jacob H, Laulederkind S, Petri V, Shimoyama M, Smith J, Twigger S, Jaiswal P, Seigfried T, Howe D, Westerfield M, Collmer C, Torto-Alalibo T, Feltrin E, Valle G, Bromberg S, Burgess S, McCarthy F, Gene Ontology C: The Gene Ontology project in 2008. Nucleic Acids Res. 2008, 36: D440-D444.

    Google Scholar 

  87. Finn RD, Tate J, Mistry J, Coggill PC, Sammut SJ, Hotz HR, Ceric G, Forslund K, Eddy SR, Sonnhammer ELL, Bateman A: The Pfam protein families database. Nucleic Acids Res. 2008, 36: D281-D288. 10.1093/nar/gkm960.

    Article  PubMed Central  CAS  PubMed  Google Scholar 

Download references


The authors would like to thank Wei Li, Philippe Matter and Maureen Nolan for their help with EST sequencing, Bala Thumma, Colleen MacMillan and Charlie Bell for their technical assistance in the lab, Chris Boland from CSIRO Entomology for his assistance with the robot colony picking, and Colleen MacMillan, Iain Wilson from CSIRO Plant Industry for their critical internal review on the preparation of the manuscript. We also thank the four anonymous reviewers for their valuable comments and suggestions to improve this manuscript. This work is part of the Juvenile Wood Initiative (JWI), a project funded by Forest and Wood Products Australia (FWPA), ArborGen LLC, the Southern Tree Breeding Association (STBA), Queensland Department of Primary Industry (QDPI) and CSIRO. Wei Li was a postdoctoral fellow under an agreement between CSIRO and the Chinese Academy of Forestry.

Author information

Authors and Affiliations


Corresponding author

Correspondence to Simon G Southerton.

Additional information

Authors' contributions

XL carried out cDNA library construction, EST sequencing, assembly, annotation, functional classification, gene identification and manuscript preparation. SS and HW proposed the research project and guided the research. SD participated in colony isolation and PCR. All the authors have read and approved the final manuscript.

Electronic supplementary material


Additional file 1: Functional classification of 2,101 unigenes with homologs in UniProt database. The 16 functional groups with Enrichment Scores 0.11–4.52 for the 2,101 radiata pine unigenes, which have homologs in UniProt database, were revealed with DAVID functional classification. (XLS 216 KB)


Additional file 2: Identification of cell wall related genes in the radiata pine EST resource. The table represents 18 categories and 91 families of cell wall related genes based on the MAIZEWALL database. (XLS 52 KB)


Additional file 3: Protein families more abundant in combined earlywood, latewood, juvenile wood and mature wood. The table listed 15, 19, 5 and 29 protein families more abundant in combined earlywood, latewood, juvenile wood and mature wood, respectively. Most of the listed protein families are statistically significant based on P-value. (XLS 30 KB)


Additional file 4: Genes or gene families more strongly expressed in combined earlywood, latewood, juvenile wood and mature wood. The table listed 20, 18, 20 and 25 genes or gene families more strongly expressed in combined earlywood, latewood, juvenile wood and mature wood, respectively. Most of the listed genes or gene families are statistically significant based on P-value. (XLS 410 KB)


Additional file 5: Specifically enriched GO terms in earlywood, latewood, juvenile wood and mature wood. The table provided 16, 18, 21 and 11 GO terms specifically enriched in earlywood, latewood, juvenile wood and mature wood, respectively. Most of the listed GO terms are statistically significant based on P-value. (XLS 23 KB)


Additional file 6: Wood quality variation in different wood tissues of radiata pine. The table shows wood quality variation among different wood tissues of radiata pine. The nine wood traits were measured on 10 trees of 25-year-old using SilviScan profiling. (XLS 20 KB)


Additional file 7: NPK- and LIG- probes for RT-MLPA validation. The table listed NPK- and LIG- probes used in RT-MLPA validation for four genes (dehydrin, PRP, peroxidase and AGP4), which are preferentially represented in earlywood or latewood tissues at juvenile or transition ages. (XLS 16 KB)

Authors’ original submitted files for images

Rights and permissions

Open Access This article is published under license to BioMed Central Ltd. This is an Open Access article is distributed under the terms of the Creative Commons Attribution License ( ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Reprints and permissions

About this article

Cite this article

Li, X., Wu, H.X., Dillon, S.K. et al. Generation and analysis of expressed sequence tags from six developing xylem libraries in Pinus radiata D. Don. BMC Genomics 10, 41 (2009).

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: