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The transcriptomics of secondary growth and wood formation in conifers.

1. Introduction: The Importance of Xylem Transcriptomics in Gymnosperms

Gymnosperms are seed-bearing plants that include common trees such as pine, spruce, fir, hemlock, and cedar. Among the living gymnosperms, four phyla could be considered: Cycadophyta (cycads), Ginkgophyta (Ginkgo biloba L.), Coniferophyta (conifers), and Gnetophyta (gnetophytes) [1]. The conifers are the most numerous gymnosperms, comprising 50 genera and 550 species, and are widely distributed through the northern hemisphere [2]. Pines (family Pinaceae, genus Pinus) are among the most economically important conifers, once they constitute the major source of lumber and paper pulp and also have a significant ecological role. Their wide and natural distribution, particularly those from Scots pine (Pinus sylvestris L.), reveals high phenotypic plasticity and genetic diversity, providing adaptation to different habitats with variable elevations and climate conditions [3].

The classical goals of breeding programmes in conifers, particularly in pines, are related to the improvement of growth, form, climatic adaptation, disease resistance, variability, and heritability of traits concerned with pulp, paper, andsolid-woodend products [2]. The improvement of wood density, stiffness, fibre morphology, and orientation has also been intended in order to achieve high-quality timber-related products. The selection of elite individuals with desirable traits for wood quality in very early stages of tree development constitutes one of the major goals of breeding programmes and forestry industry [4, 5]. Notwithstanding, wood quality is a highly complex trait, and several efforts have been developed in the last years in order to deeply understand the molecular mechanisms underlying it. Technologies such as gene mapping, markers assisted selection (MAS), transcriptome profiling, sequencing, gene silencing, and genetic engineering have been used for the identification and validation of candidate genes related to secondary growth and wood formation in both gymnosperms and angiosperms. Due to the long development cycles of trees until reaching wood production, it was necessary to use nontree model plants for such studies. Given the moderate conservation of the xylem transcriptome among the vascular plants, comparative genomics tools based on known xylem unigenes from Arabidopsis thaliana contributed to a deeper understanding of wood formation in trees [6].

Generally, most of the genes differentially expressed In wood-forming tissues are related to the primary and secondary cell wall formation and to the monolignol biosynthesis. Here, we intend to revise some of the last remarkable studies concerning the transcriptomics of secondary growth and wood formation in conifers.

2. Wood Formation and Structure

Wood, also known as secondary xylem, derived from the plant secondary growth that occurred at roots and stems due to the activity of highly vacuolated meristematic cells of the vascular and cork cambium (lateral meristems) [1, 7]. Secondary growth involves a sequence of biological events at the cells, including maintenance of division, expansion (elongation and radial enlarging), differentiation, secondary wall thickening (cellulose, hemicellulose, lignin biosynthesis, and deposition), aging, and programmed death [8].

Up to six types of wood can be isolated and studied on a single tree: early wood, late wood, juvenile wood, mature wood, reaction wood, and opposite wood. Each type of wood has different chemical, physical, physiological, mechanical, and anatomical properties [8-10].

The early wood is produced at the beginning of the growing season (spring wood) while late wood is the portion of an annual growth increment produced during the latter part of the growing season (summer wood). Early wood is composed of large diameter cells and has low density, whereas the late wood has smaller diameter cells and high density due to thicker cell walls. A growth ring (ring of wood) easily visible on a cross stem section results from periodic growth. One growth ring formed during a year is called an annual ring.

The gradual transition from juvenile to mature wood could not be perceptible in some transverse cuts of hardwood species. However, in softwood species, such as pines, a radial variation could be observed in the wood pattern based on different widths of the growth rings between the juvenile and mature wood [10](Figure 1).

Usually, juvenile wood of most species has a considerable larger growth ring width than mature wood, and species with fast growth tend to have much higher content of juvenile wood [10]. Juvenile wood is composed of shorter length tracheids (conducting elements) and larger microfibril angles than mature wood [10]. The tracheids of juvenile wood also present smaller radial and tangential diameters and thinner cell walls than mature wood [10], explaining its reduced density compared to mature wood.

In general, the anatomical structure of gymnosperm wood is considered simple when compared with angiosperms because it is mainly composed of tracheids, interspersed by radial rays (medullar rays), and some parenchyma cells associated with resin ducts [1](Figure 2).

The long tapering tracheids constitute the dominant cell type of the conifer axial system and ensure both water conduction and tree support. The rays are responsible for the translocation of water and nutrients between the secondary xylem and the secondary phloem [1].

In temperate regions, the vascular cambium is dormant during winter and reactivates in spring. Reactivation implies that cambial cells take up water and start to expand and divide. Due to expansion, the radial walls of the cambial cells become thinner inducing the peel-off of the bark (all tissues outside the vascular cambium). In Spring, large amounts of secondary xylem and phloem could be harvested [11-13]. Gene expression studies related to wood formation and secondary growth have been based on RNA isolation from these vascular tissues, and a large number of expressed sequence tags (ESTs) have been developed from differentiating xylem of different species.

3. Plant Models Used in the Study of the Xylem Transcriptome

Several genetically modified or mutant plant species have been used as model systems for the study of wood formation in trees [14-17]. Among them, Arabidopsis thaliana has been considered the best genetic model for the study of xylogenesis [18,19]. Some mechanisms of cell differentiation are similar and shared among the higher plants, namely, between the primary and secondary vascular tissues. These features allowed judicious extrapolation of some findings achieved in herbaceous plants to the study of secondary growth in trees [18, 20, 21]. Due to moderate conservation of the xylem transcriptome, homolog transcription factors and xylem ortholog genes were found among Arabidopsis and diverse taxa of vascular plants [6, 22-24].

Although Arabidopsis has been considered an excellent genetic model for the study of xylogenesis in trees[18, 19], the following disadvantages were pointed out: (i) reduced plant size; (ii) annual growing habit which disables studies of seasonal variation of xylem differentiation, dormancy, and cambial aging process; and (iii) single cell type [8,11].

The adaptation of new genetic technologies to forestry species made the use of trees as model plants possible for studies of wood formation and differentiation. Populus, Acacia, and Eucalyptus have been used as models for angiosperms, while pines and spruce constitute excellent models for gymnosperms. Pines have a remarkable variability of wood characteristics, resultant from genetic, environmental, and developmental factors, making them suitable for the identification of candidate genes related to wood quality traits in conifers [11].

4. Transcriptome Studies Related to Wood Formation and Quality

The transcriptome is the set of RNA molecules (transcripts) in a given cell or tissue at a particular time-point and condition, representing the transcribed portion of the genome. Transcriptome studies based on different technologies have provided insights into the function and regulation of expressed genes in different conditions (cell type, tissue, stress, etc.). The full characterization of a transcriptome is the key step to understand life diversity, for genome annotation and evaluation of the temporal and spatial patterns of gene expression [25].

Genes encoding for primary and secondary cell wall formation, enzymes of the monolignol biosynthesis, non-cell-wall genes (e.g., transcription factors), and others with unknown function have been related to wood formation and quality.

A large scale of ESTs (expressed products of genes functioning in certain tissues under specific conditions) generated from large numbers of cDNA libraries isolated from specialized tissues and organs have been the main source of gene profiling studies [12,21]. ESTs have been automatically annotated and processed so quickly that sometimes the inherent information content appears to be underexploited. Some computational, functional, and comparative genomic approaches were reported by [26] in order to improve the uncovering of interesting genes and the annotation of several contigs from pine and other gymnosperm libraries.

The Computational Biology and Functional Genomics Laboratory (at the Dana-Farber Cancer Institute and Harvard School of Public Health) ( developed the Gene Index project which integrates the gene indexes of different organisms based on international research data of EST sequencing and gene research projects. Among the 60 plants listed in this public database, we found out gene indexes for Pinus, Picea, Quercus, and Populus (Table 1).

For each EST sequence, the Gene Index project provides information about cellular role, metabolic and signalling pathways functions, and prediction of alternative splice variants, among other features.

4.1. Genes Related to Cell Wall Formation and Mechanical Stress. The gene profiling during wood formation revealed expression of several genes associated with the late differentiation stages, including secondary cell wall biosynthesis and cell death (after xylem cell maturation) [27].

Different technologies, including the cDNA sequencing [12, 28, 29], microarrays [4, 30], and serial analysis of gene expression (SAGE) [31], have been helpful for the identification and expression profiling of candidate genes related to the wood formation and quality in conifers. The analysis of differentiating xylem in pines (Pinus taeda L. and Pinus pinaster Ait.) by cDNA sequencing and microarrays revealed homologues and novel genes related to cell wall proteins, involved in the carbohydrate metabolism, and enzymes involved in the lignin biosynthesis [9, 12, 28, 30]. These proteins play important roles in determining the chemical composition and morphology of the cell wall and consequently wood quality. The differential expression of candidate genes for cell wall formation and lignification arises from differences in protein synthesis and in the rate of cell division in the stem [12], environmental adaptation [30], and seasonal variation [9, 32] verifying that this complex trait is determined by both genetic and environmental factors. The seasonal dynamics of cambial growth in response to climate conditions were also reported for Pinus halepensis Miller [32]. Generally, wood could be a biomarker for environmental changes, differences along the growing season, genotype variability, tree age, stages of development, and mechanical stress [6, 32-34].

Wood quality is also largely affected by its mechanical properties, which are determined by the orientation of cellulose microfibrils in secondary cell wall, and mechanical strength [4]. Gene expression profiling by cDNA microarrays developed among P. radiata trees revealed that genes involved in cytoskeleton development and secondary cell wall formation (cellulose and lignin biosynthesis) were preferentially Transcribed in wood with higher stiffness and low microfibril angle (latewood) [4]. Conversely, genes involved in cell division and primary cell wall synthesis were abundantly transcribed in early wood, which presents low stiffness and high microfibril angle [4]. Juvenile wood has poor quality (low density) due to higher proportion of early wood than that of late wood. The knowledge of genes responsible for the differentiation of late wood (high quality wood) could drive specific breeding strategies based on genetic modification in order to improve the wood quality traits.

Gravitropic response (stem inclination) induces stress and affects wood formation and quality. It has been widely studied in Eucalyptus, Populus trichocarpa, and pines in order to profile transcripts related to tension and compression wood, and to achieve clues about their regulatory network [27, 35-38]. Sequencing of cDNA samples derived from inclined stems of P. radiata and P. pinaster and further comparative analysis and validation per quantitative realtime polymerase chain reaction (qRT-PCR) allowed the identification of differentially expressed unigenes involved in hormone regulation, phenylpropanoid pathway, signal transduction, and wood formation [29].

In addition to the identification of genes and their respective functional categories, the gene profiling studies developed so far in gymnosperms and angiosperms revealed differential expression among dissimilar types of wood (early wood versus late wood, tension, or compression versus normal wood) and enabled insights into their regulatory networks [39]. The understanding of such molecular mechanisms is essential for the improvement of density [5] and other properties related to wood quality.

4.2. Genes Involved in the Monolignol Biosynthetic Pathway. The major secondary cell wall constituents are cellulose (40-50%), hemicellulose (around 25%), and lignin (2535%) [8]. Lignin is a heterogeneous phenolic polymer and its monomers (monolignols) are p-coumaryl, coniferyl, and sinapyl alcohols (Figure 3). Conifers have the G-lignin type and the coniferyl alcohol is the most abundant monolignol [39, 40]. The monolignols are synthesized in the cytoplasm And translocated to the a poplast to be polymerized into lignin [41].

The monolignol biosynthetic pathway is complex (Figure 3) and has been revised and updated during the last decade [17, 27, 40, 42].

Most of the enzymes and corresponding genes involved in the monolignols biosynthetic pathway have been identified [17, 27]. Hence, it is possible to ascribe a modified wood quality trait to a particular mutation, genetic modification, or differential expression of candidate genes involved in the lignin biosynthesis. In P. taeda, the occurrence of a sequence mutation in the CAD gene (cad-nl) causes a deficiency in the production of cinnamyl alcohol dehydrogenase (CAD), inducing altered lignification, differences at wood density, and growth [43, 44], affecting its quality. Candidate genes such as those encoding for the enzymes (4CL, C4H, C3H, and CcOAOMT) also matched with Quantitative Trait Loci (QTL) for wood density in P taeda [45]. The same technique revealed a positional candidate gene--KORRIGAN (involved in hemicellulose and cellulose biosyntheses)--which was mapped with wood-quality-related QTLs in P. pinaster [46, 47]. The candidate genes approach based on QTL mapping [48] and gene modification have been useful for wood formation and quality studies. The silencing of the HCT enzyme and the suppression of 4-coumarate-CoA ligase (4CL) in P. radiata reduced the lignin content, affected its structure, and induced changes in the wood-bark ratio [49, 50]. Pine xylogenesis seems to depend greatly on an adequate supply of lignin "building blocks" (lignin precursors) [50]. The phenotypic and structural changes induced by gene silencing could explain the metabolic plasticity of the lignification process which induces high variation in the lignin content and composition among species, within species, cell types, tissues, developmental phases, seasons, and/or environmental conditions [8,12,17, 33, 49, 51].

5. Regulatory Mechanisms of Secondary Growth and Wood Formation

The extensive production and analysis of ESTs from wood-forming tissues have revealed a differential and coordinated expression of genes coding for cell wall structural proteins and enzymes associated with the biosynthesis of secondary cell wall polysaccharides (e.g., cellulose), degradation and modification of primary cell walls, biosynthesis of lignin precursors, polymerization of lignin in secondary walls, and programmed cell death [21, 52-54]. The coordinated expression of these genes has reflected an interaction of regulatory mechanisms involving specific transcription factors information molecules of the cell wall microRNAs and phytohormones [13, 21, 53, 55].

5.1. Regulation by Transcriptional Factors. Despite the striking correlation among different types of regulation processes, major importance has been given to the regulation by specific transcription factors that are preferentially expressed during wood formation [13, 21]. Transcription is more tractable for study given technologies such as qRT-PCR, cDNA microarrays, high-throughput sequencing, visualization of expression patterns by in situ hybridization, candidate genes approach, and new computational methods to unravel complex transcriptional networks [13]. These technologies allowed the functional characterization of several classes of transcription factors, including those which regulate meristem maintenance, tissue differentiation, cell differentiation, and secondary cell wall synthesis, contributing to the understanding of their regulation roles in secondary growth [13,21].

The R2R3-MYBs constitute one of the largest families of transcription factors which regulate the lignification cell differentiation organ identity and cell fate in angiosperms and conifers such as P. taeda and spruce [36, 51, 53, 56-58]. Overexpression of MYB factors in transgenic plants induced reduced expression of lignin biosynthetic genes and decrease in lignin content [51]. The MYB1 and MYB8 factors seem to be part of a conserved transcriptional network involved in secondary cell wall deposition in conifers 58].

The NAM/ATAF/CUC (NAC) family genes have been widely studied in angiosperms and are preferentially expressed in developing vascular tissues, being responsible for the secondary cell wall thickening and fibre differentiation [21]. The transcriptional regulation by NAC factors is conserved among Arabidopsis and trees, but it evolved to a more complex regulatory network in the forestry species [2224]. The poplar wood-associated NAC domain transcription factors (PtrWNDs) also activate a set of downstream transcription factors, and together, they coordinate the regulation of secondary wall biosynthesis [23, 59].

The class III homeodomain-leucine zipper (HD-ZIP III) transcription factors and the KANADI (KAN) genes transcription factor family have overlapping and antagonistic roles in the regulation of wood formation [21, 52].

5.2. Transcriptional Regulation by Phytohormones. The activation of cambial growth, cell division, cell extension in the stems, and the formation of lateral roots by low concentrations of pure hormones were demonstrated early in herbaceous plants [60]. More recent studies have illustrated the transcriptional regulatory role of phytohormones in the cell wall dynamics, wood formation, and quality [53, 55, 6163]. This regulatory mechanism is mediatedby the expression of specific genes and numerous transcription factors which control the cambium activity and secondary growth [21, 53]. Streams of hormonal signals such as auxins, gibberellins, cytokinins, and ethylene are synthesized in different locations and move through the vascular tissues [62, 63]. The phytohormonal mechanisms that control wood quality and formation are very well documented in [63]. The indole-3-acetic acid (IAA) is the most naturally occurring auxin. It is produced in the young leaves, and it moves downward through the cambium to the root tips and constitutes the major hormonal signal which regulates wood formation, by controlling the cambial activity and inducing the xylem and phloem differentiation. Along the tree axis, there are variable concentrations of auxin that influence cell width, wall composition, and wood density [63, 64]. Asymmetric hormonal distributions can promote the formation of compression wood in conifers and tension wood in angiosperms. The cytokinins (Cks) are adenine derivatives, produced in the root caps, and move upward, stimulating cell divisions in the vascular cambium and increasing its sensitivity to the auxin signal. The gibberellins (GAs) are a large family of tetracyclic diterpenes which promote cell and stem elongation, inducing long tracheids (in gymnosperms) and fibres (in angiosperms), and they regulate the lignin biosynthesis and the transition from juvenile to mature wood. Exogenous applications of GAs in young conifers could accelerate their reproductive phase and cone production. Ethylene ([C.sub.2][H.sub.4]) is synthesized in response to stress (wounding, flooding wind bending, high auxin and Cks levels). When highly concentrated, it inhibits stem elongation and promotes leaf and fruit abscission. In conifers, the ethylene mediates the methyl jasmonate-defence-response by inducing traumatic resinducts, which, in high number, negatively affect the wood quality. The abscisic acid (ABA) is the universal stress hormone, present in all higher plants, and it plays a central role in the plasticity of plant development, once it could slow down and stop the wood formation by retarding or ending the cambial activity during winter [63].

The secondary xylem development is also controlled by a crosstalk among different plant hormones [55, 65]. The involvement of phytohormones in the posttranscriptional regulation of the secondary xylem development was also reported by [13, 54, 55].

5.3. Posttranscriptional Regulation by miRNAs. Ample interest has been driven in the last years to the study of miRNAs. These small (~22nt) double stranded noncoding RNAs derive from intergenic regions of the genome and are posttranscriptional regulators of endogenous genes. The miRNAs induce gene silencing by cleavage or repression of the messenger RNA (mRNA) [66-69]. Their regulatory activities have been demonstrated by their targets identification, by using physiological and phenotypic assays, bioinformatics, genomics, and biochemical tools. The effective levels of plant miRNAs are determined by transcription, processing, miRNA-induced silencing complex loading, turnover, and decay. Each process is affected by factors such as genomic modifications, RNA editing, miRNA-induced silencing complex loading competition, target abundance and complementarities, and spatial-temporal effects, conferring a highly dynamic feature to miRNA activities (see revision of [70]). Generally, miRNAs play important regulatory roles in plant development, growth, defence, response to stress (biotic, abiotic, and mechanical), and adaptation to environmental changes [27,71-74]. They are also involved in the coordinated regulatory mechanisms of secondary growth and wood formation by targeting phytohormones and transcription factors 27 71,75-77](Table 2).

Considering the predicted functions of some miRNA families presented in Table 2, their targeting of transcription factors (e.g., MYB, NAC-domain protein, Class III HD-Zip protein) and phytohormones (e.g., auxin-responsive factor; auxin/IAA) involved in the regulation of wood formation [27] is clear.

Some of the miRNA families identified in poplar were conserved in Arabidopsis, P. taeda, or Pinus densata (Table 2). Recently, a mRNA library derived from P. densata needles was sequenced by the Illumina high-throughput sequencing technology, and it allowed the identification of 34 miRNA families that were conserved in A. thaliana, Oryza sativa, poplar, Vitis vinifera, P. taeda, and Picea abies [78]. The miR156, miR159, miR160, and/or miR171 families are conserved in poplar, Arabidopsis, P. taeda, and/or P. densata and present similar functions among them (Table 2). These four miRNA families belong to a group of 21 elements, considered to be the most ancient miRNAs, due to their conserved expression among several angiosperms, gymnosperms, lycopods, and bryophytes [79].

The ongoing actualization of miRNA databases such as miRBase (, PMRD--plant microRNA database (, and MIRNEST version 1.0 ( mirnest/home.php) includes stem-loop, mature miRNA sequences, and target predictions. The last releases of these databases presented several miRNA sequences for the following gymnosperm species: Cycas rumphii (1 miRNA sequence, cru-MIR156), P. taeda (139 miRNA sequences), P. pinaster (8 miRNA sequences), P. densata (31 miRNA sequences), Pinus contorta (6 miRNA sequences), Pinus banksiana (13 miRNA sequences), and/or Picea sp. (49 miRNA sequences). Inside the MIRNEST database, we also find the Micro PC resource tool which enables the prediction and the comparison among plant miRNAs (, despite the existence of other online tools for the same purpose.

The identification of key transcription factors and phytohormones targeted by miRNAs will provide the knowledge of binding sites for specific and crucial genes expressed during wood formation enabling the establishment of an initial transcriptional network.

5.4. Cell Wall Regulation of Secondary Growth. During the differentiation within secondary xylem and phloem, the stem cell walls are extensively modified. In angiosperms, the differentiation of tracheary elements and fibers involves the synthesis of a lignified secondary cell wall between the primary cell wall and the plasma membrane. Studies realized in poplar, Arabidopsis and Zinnia, have demonstrated that proteins involved in the generation of wall-derived signals or cell wall modifications, such as chitinase-like enzymes, contribute to developmental mechanisms [53]. The arabinogalactan proteins (AGPs)--highly glycosylated proteins of the cell walls--have been considered as putative substrates of chitinases. These proteins are expressed in vascular differentiating tissues and they are upregulated during tension wood formation, and they regulate the differentiation of tracheary elements by inductive cell-cell interaction [80, 81].

5.5. Interacting Regulatory Mechanisms. The complex developmental processes of secondary growth and xylogenesis require the interplay of the individual regulatory mechanisms presented here. For instance, different classes of transcriptional factors directly regulate genes that encode biosynthetic enzymes for cell wall or phytohormones. The cell wall dynamics are regulated by phytohormones such as auxin, and the lignification of the stem cell walls is controlled by gibberellins (GAs). In addition, auxin-related genes, KAN, and HD-ZIP III transcription factors are post transcriptionally regulated by miRNAs [21, 53, 54, 82]. The intricate correlation among these regulatory mechanisms is partially understood in trees, but we are confident that the availability of new genomic technologies and the whole genome sequencing of conifer species will provide, in the near future, the establishment of transcriptional network for secondary growth and wood formation.

6. The "Next-Generation Genomics" for Conifers

A number of next generation sequencing (NGS) technologies have emerged in the past few years. The Roche 454 FLX system, Illumina, and Life Tech SOLiD are now referred to as second generation sequencing (SGS) platforms. The most recently developed technologies, such as single-molecular real-time (SMRT) sequencer, Heliscope Single Molecule Sequencer, and the Ion Personal Genome Machine, are considered the third-generation sequencing (TGS) [83, 84]. The TGS generate-longer sequence reads in a shorter time and with lower costs per instrument run, compared to the SGS. The accessibility to both SGS and TGS technologies, with ever declining costs and increased data output, will enable the plant genomics and breeding community to under take genotyping by sequencing (GBS) [84]. The SGS has been used for de novo sequencing, genome resequencing, and whole genome and transcriptome analysis [25, 83-87].

The combination of gene data provided by sequencing, expression profiling, and protein analyses could establish the linkage between genotype, gene function, and phenotype [13, 25, 87]. The knowledge of this complex relationship and the highly conserved xylem transcriptome among conifers [6] will enable the construction of regulation models for secondary growth and wood formation and the designing of strategies for the improvement of wood production and quality traits, involving reduced breeding cycles and increased selection accuracy [13, 87].

In the past few years, several initiatives have been launched for the sequencing of whole conifer genomes, including pines, spruces, and Douglas-fir [87]. Genome-wide analysis of conifers is particularly challenging due to their largest genome size (ranging from 20 to 30 gigabases), outcrossing mating system, wind-pollinated, very large effective population size, and high heterozygosis [88]. However, massively parallel DNA sequencing data was used to assemble a draft of the 20-Gb nuclear genome of Norway spruce (Picea abies (L.) Karst) [88]. Later, the assembly of the 20.8-Gb Picea glauca (white spruce) genome from whole-genome shotgun sequencing data was reported [89]. The draft assembly of the P. abies genome provided a deep characterization at the structure and content levels, as well as new insights into the gymnosperms evolution [88]. The coding and noncoding fractions of this conifer genome were compared with the low-coverage draft genome assemblies of five other gymnosperms. Once there was no evidence of recent whole genome duplications (WGDs), the large genome size was explained as resulting from a slow and steady accumulation of long terminal repeat (LTR)-retrotransposons (RTNs), due to the lack of an efficient mechanism of elimination. The diversity of transposable elements (TEs) was shared among the six gymnosperms, being the LTR-RTNs the most abundant class. Considering their two major super-families, in the six gymnosperms, the Ty3/Gypsy was more abundant than the Ty1/copia. The 24-nucleotide small RNAs, known to be implicated in the silencing of TEs by the establishment of DNA methylation, showed a tissue-specific expression and reduced levels. Numerous long introns (>10,000bp), gene-like fragments, uncharacterized long noncoding RNAs, and short RNAs were also found [88]. The large size of the introns suggested a very early expansion on the evolutionary story of conifers probably due to TEs insertion [88].

The sequencing of the whole Picea sp. genomes, which are two ecologically and commercially important species, opened up new windows for research, forestry, and breeding. These assemblies will enable future identification and study of gymnosperm genes, the assistance of forest management strategies, and the understanding of the environmental and biological interactions of spruce trees [89].

7. Concluding Remarks and Perspectives

Conifers are dominant in the northern hemisphere forests. They present ecological and commercial important roles, particularly due to wood production. Nowadays, the global climatic changes have been threatening the surviving and production rates of several plant species, including the conifers, which face deforestation problems. In order to partially overcome these problems, forestry researchers have tried to deeply understand the molecular mechanisms involved in stress, wood formation, and quality. As reported by [13], cambium is one of the most important, but the least understood, plant meristem, and it is an exciting time to study secondary growth due to the availability of well-suited new genomic technologies. Comparative genomics among vascular nontree species, angiosperm trees, and conifers has contributed to the partial understanding of secondary growth andwood formation, given the moderate conservation of candidate genes, transcription factors, and regulatory mechanisms among them. However, the interacting regulatory mechanisms are partially unknown [57]. In the last decades, the genomics and transcriptomics knowledge has evolved faster for angiosperms than for gymnosperms, even more, ater the whole genome sequencing of poplar. However, we are confident that the recent draft assemblies of the whole genomes of P. abies and P. glauca will change that feature, by contributing to the establishment and understanding of the transcriptional and regulatory networks underlying the secondary growth and wood formation in conifers. Along with the fundamental research and knowledge about the evolution and developmental biology of the secondary growth, these discoveries will have practical applications under the scope of genetic improvement of wood production and quality traits.

Conflict of Interests

The authors declare that there is no conflict of interests regarding the publication of this paper, and all authors approved the submission and publication of this review.


This work was supported by the project PTDC/AGRCFL/110988/2009, attributed by the Portuguese Foundation for Science and Technology (FCT), and cofinanced by the European Fund of Regional Development (FEDER) under the scope of the COMPETE-QREN program. It was also supported by the FCT Postdoctoral Research Grant SFRH/BPD/68932/2010, cofinanced by the Social European Fund (FSE) under the POPH-QREN program.


[1] P. H. Raven, R. F. Evert, and S. E. Eichhorn, Biology of Plants, Sixth Edition, W.H. Freeman and Company Worth, New York, NY, USA, 2003.

[2] C. Plomion, D. Chagne, D. Pot et al., "2 pines," in Forest Trees, C. Kole, Ed., vol. 7 of Genome Mapping and Molecular Breeding in Plants, chapter 2, Springer, Berlin, Germany, 2007.

[3] O. Savolainen, S. T. Kujala, C. Sokol et al., "Adaptive potential of northernmost tree populations to climate change, with emphasis on Scots pine (Pinus sylvestris L.)," Journal of Heredity, vol. 102, no. 5, pp. 526-536, 2011.

[4] X. Li, H. X. Wu, and S. G. Southerton, "Transcriptome profiling of Pinus radiata juvenile wood with contrasting stiffness identifies putative candidate genes involved in microfibril orientation and cell wall mechanics, "BMC Genomics, vol. 12, article 480, 2011.

[5] X. Li, H. X. Wu, and S. G. Souherton, "Identification of putative candidate genes for juvenile wood density in Pinus radiata" Tree Physiology, vol. 32, no. 8, pp. 1046-1057, 2012.

[6] X. Li, H. X. Wu, and S. G. Southerton, "Seasonal reorganization of the xylem transcriptome at different tree ages reveals novel insights into wood formation in Pinus radiata" New Phytologist, vol. 187, no. 3, pp. 764-776, 2010.

[7] A. M. Catesson, R. Funada, D. Robert-Baby, M. Quinet-Szely, J. Chu-Ba, and R. Goldberg, "Biochemical and cytochemical cell wall changes across the cambial zone," IAWA Journal, vol. 15, no. 1, pp. 91-101, 1994.

[8] C. Plomion, G. Leprovost, and A. Stokes, "Wood formation in trees," Plant Physiology, vol. 127, no. 4, pp. 1513-1523, 2001.

[9] G. le Provost, J. A. P. Paiva, D. Pot, J. Brach, and C. Plomion, "Seasonal variation in transcript accumulation in wood-forming tissues of maritime pine (Pinus pinaster Ait.) with emphasis on a cell wall glycine-rich protein," Planta, vol. 217, no. 5, pp. 820-830, 2003.

[10] F. C. Bao, Z. H. Jiang, X. M. Jiang, X. X. Lu, X. Q. Luo, and S. Y. Zhang, "Differences in wood properties between juvenile wood and mature wood in 10 species grown in China," Wood Science and Technology, vol. 35, no. 4, pp. 363-375, 2001.

[11] J. Paiva, Phenotypic and molecular plasticity of wood forming tissues in maritime pine (Pinus pinaster Ait.) [Joint Doctoral Thesis], ITQB--Universidade Nova de Lisboa, Oeiras, Portugal, 2006.

[12] J. A. P. Paiva, M. Garces, A. Alves et al., "Molecular and phenotypic profiling from the base to the crown in maritime pine wood-forming tissue," New Phytologist, vol. 178, no. 2, pp. 283-301, 2008.

[13] J. Du and A. Groover, "Transcriptional regulation of secondary growth and wood formation," Journal of Integrative Plant Biology, vol. 52, no. 1, pp. 17-27, 2010.

[14] E. J. Mellerowicz and B. Sundberg, "Wood cell walls: biosynthesis, developmental dynamics and the irimplications for wood properties," Current Opinion in Plant Biology, vol. 11, no. 3, pp. 293-300, 2008.

[15] F. Bedon, C. Levasseur, J. Grima-Pettenati, A. Seguin, and J. MacKay, "Sequence analysis and functional characterization of the promoter of the Picea glauca Cinnamyl Alcohol Dehydrogenase gene in transgenic white spruce plants," Plant Cell Reports, vol. 28, no. 5, pp. 787-800, 2009.

[16] F. Bedon, C. Bomal, S. Caron et al., "Subgroup 4 R2R3-MYBs in conifer trees: gene family expansion and contribution to the isoprenoid-and flavonoid-oriented responses," Journal of Experimental Botany, vol. 61, no. 14, pp. 3847-3864, 2010.

[17] G. Neutelings, "Lignin variability in plant cell walls: contribution of new models," Plant Science, vol. 181, no. 4, pp. 379-386, 2011.

[18] K. M. Nieminen, L. Kauppinen, and Y. Helariutta, "A weed for wood? Arabidopsis as a genetic model for xylem development," Plant Physiology, vol. 135, no. 2, pp. 653-659, 2004.

[19] J. Zhang, A. Elo, and Y. Helariutta, "Arabidopsis as a model for wood formation," Current Opinion in Biotechnology, vol. 22, no. 2, pp. 293-299, 2011.

[20] J.-H. Ko, K.-H. Han, S. Park, and J. Yang, "Plant body weight-induced secondary growth in Arabidopsis and its transcription phenotype revealed by whole-transcriptome profiling," Plant Physiology, vol. 135, no. 2, pp. 1069-1083, 2004.

[21] T. Demura and H. Fukuda, "Transcriptional regulation in wood formation," Trends in Plant Science, vol. 12, no. 2, pp. 64-70, 2007.

[22] R. Zhong, C. Lee, and Z.-H. Ye, "Evolutionary conservation of the transcriptional network regulating secondary cell wall biosynthesis," Trends in Plant Science, vol. 15, no. 11, pp. 625 632, 2010.

[23] R. Zhong, R. L. McCarthy, C. Lee, and Z.-H. Ye, "Dissection of the transcriptional program regulating secondary wall biosynthesis during wood formation in poplar," Plant Physiology, vol. 157, no. 3, pp. 1452-1468, 2011.

[24] Q. Li, Y. C. Lin, Y. H. Sun et al., "Splice variant of the SND1 transcription factor is a dominant negative of SND1 members and their regulation in Populus trichocarpa," Proceedings of the National Academy of Sciences of the United States of America, vol. 109, no. 36, pp. 14699-14704, 2012.

[25] J. Chen, Conifer Evolution, from Demography and Local Adaptation to EvolutionaryRates. Examples from the Picea Genus, Digital Comprehensive Summaries of Uppsala Dissertations from the Faculty of Science and Technology 947, Acta Universitatis Upsaliensis, Uppsala, Sweden, 2012.

[26] N. Pavy, J. Laroche, J. Bousquet, and J. Mackay, "Large-scale statistical analysis of secondary xylem ESTs in pine," Plant Molecular Biology, vol. 57, no. 2, pp. 203-224, 2005.

[27] L. Li, S. Lu, and V. Chiang, "A genomic and molecular view of wood formation," Critical Reviews in Plant Sciences, vol. 25, no. 3, pp. 215-233, 2006.

[28] I. Allona, M. Quinn, E. Shoop et al., "Analysis of xylem formation in pine by cDNA sequencing," Proceedings of the National Academy of Sciences of the United States of America, vol. 95, no. 16, pp. 9693-9698, 1998.

[29] P. Ramos, G. le Provost, C. Gantz, C. Plomion, and R. Herrera, "Transcriptional analysis of differentially expressed genes in response to stem inclination in young seedlings of pine," Plant Biology, vol. 14, no. 6, pp. 923-933, 2012.

[30] S.-H. Yang and C. A. Loopstra, "Seasonal variation in gene expression for loblolly pines (Pinus taeda) from different geographical regions," Tree Physiology, vol. 25, no. 8, pp. 1063-1073, 2005.

[31] W. W. Lorenzand J. F. D. Dean, "SAGE profiling and demonstration of differential gene expression along the axial developmental gradient of lignifying xylem in loblolly pine (Pinus taeda)" Tree Physiology, vol. 22, no. 5, pp. 301-310,2002.

[32] M. de Luis, K. Novak, J. Raventos, J. Gricar, P. Prislan, and K. Cufar, "Cambial activity, wood formation and sapling survival of Pinus halepensis exposed to different irrigation regimes," Forest Ecology and Management, vol. 262, no. 8, pp. 1630-1638, 2011.

[33] J. A. P. Paiva, P. H. Garnier-Gere, J. C. Rodrigues et al., "Plasticity of maritime pine (Pinus pinaster) wood-forming tissues during a growing season," New Phytologist, vol. 179, no. 4, pp. 1080 1094, 2008.

[34] V. A. Barber, G. P. Juday, and B. P. Finney, "Reduced growth of Alaskan white spruce in the twentieth century from temperature-induced drought stress," Nature, vol. 405, no. 6787, pp. 668-673, 2000.

[35] C. Plomion, C. Pionneau, J. Brach, P. Costa, and H. Bailleres, "Compression wood-responsive proteins in developing xylem of maritime pine (Pinus pinaster Ait.)," Plant Physiology, vol. 123, no. 3, pp. 959-969, 2000.

[36] E. Paux, V. Carocha, C. Marques et al., "Transcript profiling of Eucalyptus xylem genes during tension wood formation," New Phytologist, vol. 167, no. 1, pp. 89-100, 2005.

[37] S. Lu, L. Li, X. Yi, C. P. Joshi, and V. L. Chiang, "Differential expression of three Eucalyptus secondary cell wall-related cellulose synthase genes in response to tension stress," Journal of Experimental Botany, vol. 59, no. 3, pp. 681-695, 2008.

[38] L. F. Goulao, S. Vieira-Silva, and P. A. Jackson, "Association of hemicellulose- and pectin-modifying gene expression with Eucalyptus globulus secondary growth," Plant Physiology and Biochemistry, vol. 49, no. 8, pp. 873-881, 2011.

[39] D. P. Villalobos, S. M. Diaz-Moreno, S. S. El-Sayed et al., "Reprogramming of gene expression during compression wood formation in pine: coordinated modulation of S-adenosylmethionine, lignin and lignan related genes," BMC Plant Biology, vol. 12, article 100, 2012.

[40] W. Boerjan, J. Ralph, and M. Baucher, "Lignin biosynthesis," Annual Review of Plant Biology, vol. 54, pp. 519-546, 2003.

[41] X. Li and C. Chapple, "Understanding lignification: challenges beyond monolignol biosynthesis," Plant Physiology, vol. 154, no. 2, pp. 449-452, 2010.

[42] R. Vanholme, B. Demedts, K. Morreel, J. Ralph, and W. Boerjan, "Lignin biosynthesis and structure--update on lignin biosynthesis and structure," Plant Physiology, vol. 153, no. 3, pp. 895-905, 2010.

[43] G. P. Gill, G. R. Brown, and D. B. Neale, "A sequence mutation in the cinnamyl alcohol dehydrogenase gene associated with altered lignification in loblolly pine," Plant Biotechnology Journal, vol. 1, no. 4, pp. 253-258, 2003.

[44] Q. Yu, S. E. McKeand, C. D. Nelson, B. Li, J. R. Sherrill, and T. J. Mullin, "Differences in wood density and growth of fertilized and nonfertilized loblolly pine associated with a mutant gene, cad-n1," Canadian Journal of Forest Research, vol. 35, no. 7, pp. 1723-1730, 2005.

[45] G. R. Brown, D. L. Bassoni, G. P. Gill et al., "Identification of quantitative trait loci influencing wood property traits in Loblolly pine (Pinus taeda L.). III. QTL verification and candidate gene mapping," Genetics, vol. 164, no. 4, pp. 1537 1546, 2003.

[46] D. Chagnee, G. Brown, C. Lalanne et al., "Comparative genome and QTL mapping between maritime and loblolly pines," Molecular Breeding, vol. 12, no. 3, pp. 185-195, 2003.

[47] D. Pot, J.-C. Rodrigues, P. Rozenberget al., "QTLs and candidate genes for wood properties in maritime pine (Pinus pinaster Ait.)," Tree Genetics and Genomes, vol. 2, no. 1, pp. 10-24, 2006.

[48] J. Beaulieu, T. Doerksen, B. Boyle et al., "Association genetics of wood physical traits in the conifer white spruce and relationships with gene expression," Genetics, vol. 188, no. 1, pp. 197-214, 2011.

[49] A. Wagner, J. Ralph, T. Akiyama et al., "Exploring lignification in conifers by silencing hydroxycinnamoyl-CoA: shikimate hydroxycinnamoyl transferase in Pinus radiata," Proceedings of the National Academy of Sciences of the United States of America, vol. 104, no. 28, pp. 11856-11861, 2007.

[50] A. Wagner, L. Donaldson, H. Kim et al., "Suppression of 4-coumarate-CoA ligase in the coniferous gymnosperm Pinus radiata," Plant Physiology, vol. 149, no. 1, pp. 370-383, 2009.

[51] R. Zhong and Z.-H. Ye, "Transcriptional regulation of lignin biosynthesis," Plant Signaling & Behavior, vol. 4, no. 11, pp. 10281034, 2009.

[52] A. Carlsbecker and Y. Helariutta, "Phloem and xylem specification: pieces of the puzzle emerge," Current Opinion in Plant Biology, vol. 8, no. 5, pp. 512-517, 2005.

[53] A. Groover and M. Robischon, "Developmental mechanisms regulating secondary growth in woody plants," Current Opinion in Plant Biology, vol. 9, no. 1, pp. 55-58, 2006.

[54] M. Ilegems, V. Douet, M. Meylan-Bettex et al., "Interplay of auxin, KANADI and Class III HD-ZIP transcription factors in vascular tissue formation," Development, vol. 137, no. 6, pp. 975 984, 2010.

[55] J. Nilsson, A. Karlberg, H. Anttiet al., "Dissecting the molecular basis of the regulation of wood formation by auxin in hybrid aspen," Plant Cell, vol. 20, no. 4, pp. 843-855, 2008.

[56] L. A. Rogers and M. M. Campbell, "The genetic control of lignin deposition during plant growth and development," New Phytologist, vol. 164, no. 1, pp. 17-30, 2004.

[57] Q. Zhao and R. A. Dixon, "Transcriptional networks for lignin biosynthesis: more complex than we thought?" Trends in Plant Science, vol. 16, no. 4, pp. 227-233, 2011.

[58] C. Bomal, F. Bedon, S. Caron et al., "Involvement of Pinus taeda MYB1 and MYB8 in phenylpropanoid metabolism and secondary cell wall biogenesis: a comparative in planta analysis," Journal of Experimental Botany, vol. 59, no. 14, pp. 3925-3939, 2008.

[59] Q. Zhao, H. Wang, Y. Yin, Y. Xu, F. Chen, and R. A. Dixon, "Syringyl lignin biosynthesis is directly regulated by a secondary cell wall master switch," Proceedings of the National Academy of Sciences of the United States of America, vol. 107, no. 32, pp. 14496-14501, 2010.

[60] R. Snow, "Activation of cambium growth by pure hormones," New Phytologist, vol. 34, no. 5, pp. 347-360, 1935.

[61] R. Aloni, P. Feigenbaum, N. Kalev, and S. Rozovsky, "Hormonal control of vascular differentiation in plants: the physiological basis of cambium ontogeny and xylem evolution," in Cell and Molecular Biology of Wood Formation, R. A. Savidge, J. R. Barnett, and R. Napier, Eds., pp. 223-236, BIOS Scientific, Oxford, UK, 2000.

[62] R. Aloni, "Foliar and axial aspects of vascular differentiation: hypotheses and evidence," Journal of Plant Growth Regulation, vol. 20, no. 1, pp. 22-34, 2001.

[63] R. Aloni, "Phytohormonal mechanisms that control wood quality formation in young and mature trees," in The Compromised Wood Workshop, K. Entwistle, P. Harris, and J. Walker, Eds., pp. 1-22, The Wood Technology Research Centre, University of Canterbury, Christchurch, New Zealand, 2007.

[64] T. Anfodillo, A. Deslauriers, R. Menardi, L. Tedoldi, G. Petit, and S. Rossi, "Widening of xylem conduits in a conifer tree depends on the longer time of cell expansion downwards along the stem," Journal of Experimental Botany, vol. 63, no. 2, pp. 837 845, 2012.

[65] J. Dettmer, A. Elo, and Y. Helariutta, "Hormone interactions during vascular development," Plant Molecular Biology, vol. 69, no. 4, pp. 347-360, 2009.

[66] M. W. Rhoades, B. J. Reinhart, L. P. Lim, C. B. Burge, B. Bartel, and D. P. Bartel, "Prediction of plant microRNA targets," Cell, vol. 110, no. 4, pp. 513-520, 2002.

[67] B. Bartel and D. P. Bartel, "MicroRNAs: at the root of plant development?" Plant Physiology, vol. 132, no. 2, pp. 709-717, 2003.

[68] A. C. Mallory and H. Vaucheret, "MicroRNAs: something important between the genes," Current Opinion in Plant Biology, vol. 7, no. 2, pp. 120-125, 2004.

[69] D. P. Bartel, "MicroRNAs: genomics, biogenesis, mechanism, and function," Cell, vol. 116, no. 2, pp. 281-297, 2004.

[70] Y. Meng, C. Shao, H. Wang, and M. Chen, "The regulatory activities of plant microRNAs: a more dynamic perspective," Plant Physiology, vol. 157, no. 4, pp. 1583-1595, 2011.

[71] S. Lu, Y.-H. Sun, R. Shi, C. Clark, L. Li, and V. L. Chiang, "Novel and mechanical stress-responsive MicroRNAs in Populus trichocarpa that are absent from Arabidopsis," Plant Cell, vol. 17, no. 8, pp. 2186-2203, 2005.

[72] S. Lu, Y.-H. Sun, H. Amerson, and V. L. Chiang, "MicroRNAs in loblolly pine (Pinus taeda L.) and their association with fusiform rust gall development," Plant Journal, vol. 51, no. 6, pp. 1077 1098, 2007.

[73] R. Sunkar, "MicroRNAs with macro-effects on plant stress responses," Seminars in Cell & Developmental Biology, vol. 21, no. 8, pp. 805-811, 2010.

[74] Y. Qin, Z. Duan, X. Xia, and W. Yin, "Expression profiles of precursor and mature microRNAs under dehydration and high salinity shockin Populus euphratica," Plant Cell Reports, vol. 30, no. 10, pp. 1893-1907, 2011.

[75] S. K. Floyd and J. L. Bowman, "Ancient microRNA target sequences in plants," Nature, vol. 428, no. 6982, pp. 485-486, 2004.

[76] A. C. Mallory, D. P. Bartel, and B. Bartel, "MicroRNA-directed regulation of Arabidopsis Auxin Response Factor17 is essential for proper development and modulates expression of early auxin response genes," Plant Cell, vol. 17, no. 5, pp. 1360-1375, 2005.

[77] Q. Liu and Y.-Q. Chen, "Insights into the mechanism of plant development: interactions of miRNAs pathway with phytohormone response," Biochemical and Biophysical Research Communications, vol. 384, no. 1, pp. 1-5, 2009.

[78] L.-C. Wan, H. Zhang, S. Lu et al., "Transcriptome-wide identification and characterization of miRNAs from Pinus densata," BMC Genomics, vol. 13, article 132, 2012.

[79] M. J. Axtell and J. L. Bowman, "Evolution of plant microRNAs and their targets," Trends in Plant Science, vol. 13, no. 7, pp. 343 349, 2008.

[80] F. Lafarguette, J.-C. Leple, A. Dejardin et al., "Poplar genes encoding fasciclin-like arabinogalactan proteins are highly expressed in tension wood," New Phytologist, vol. 164, no. 1, pp. 107-121, 2004.

[81] H. Motose, M. Sugiyama, and H. Fukuda, "A proteoglycan mediates inductive interaction during plant vascular development," Nature, vol. 429, no. 6994, pp. 873-878, 2004.

[82] M. Robischon, J. Du, E. Miura, and A. Groover, "The Populus class III HD ZIP, popREVOLUTA, influences cambium initiation and patterning of woody stems," Plant Physiology, vol. 155, no. 3, pp. 1214-1225, 2011.

[83] M. C. Schatz, A. L. Delcher, and S. L. Salzberg, "Assembly of large genomes using second-generation sequencing," Genome Research, vol. 20, no. 9, pp. 1165-1173, 2010.

[84] M. Thudi, Y. Li, S. A. Jackson, G. D. May, and R. K. Varshney, "Current state-of-art of sequencing technologies for plant genomics research," Briefings in Functional Genomics, vol. 11, no. 1, pp. 3-11, 2012.

[85] E. R. Mardis, "Next-generation DNA sequencing methods," Annual Review of Genomics and Human Genetics, vol. 9, pp. 387-402, 2008.

[86] L. Wang, P. Li, and T. P. Brutnell, "Exploring plant transcriptomes using ultra high-throughput sequencing," Briefings in Functional Genomics, vol. 9, no. 2, pp. 118-128, 2010.

[87] J. Mackay, J. F. Dean, C. Plomion et al., "Towards decoding the conifer giga-genome," Plant Molecular Biology, vol. 80, no. 6, pp. 555-569, 2012.

[88] B. Nystedt, N. R. Street, A. Wetterbom et al., "The Norway spruce genome sequence and conifer genome evolution," Nature, vol. 497, no. 7451, pp. 579-584, 2013.

[89] I. Birol, A. Raymond, S. D. Jackman et al., "Assembling the 20Gb white spruce (Picea glauca) genome from whole-genome shotgun sequencing data," Bioinformatics, vol. 29, no. 12, pp. 1492-1497, 2013.

Ana Carvalho, (1) Jorge Paiva, (2) Jose Louzada, (3,4) and Jose Lima-Brito (1)

(1) Institute for Biotechnology and Bioengineering, Centre of Genomics and Biotechnology (IBB/CGB), University of Tras-os-Montes and Alto Douro, 5001-801 Vila Real, Portugal

(2) Instituto de Investigagao Cientifica Tropical (IICT), Centro de Florestas e Produtos Florestais (FLOR), Tapada da Ajuda, 1349-018 Lisboa, Portugal

(3) Department of Forestry Sciences and Landscape (CIFAP), University of Tras-os-Montes and Alto Douro, 5001-801 Vila Real, Portugal

(4) Centre for the Research and Technology of Agro-Environmental and Biological Sciences (CITAB), University of Tras-os-Montes and Alto Douro, 5001-801 Vila Real, Portugal

Correspondence should be addressed to Ana Carvalho;

Received 29 April 2013; Revised 22 August 2013; Accepted 9 September 2013

Academic Editor: Joseph Rothnagel

TABLE 1: Last releases relative to the number of inputs (ESTs) and
output sequences (EST, ET, and TC) per forestry genus available on
the Gene Index project database.

                                              Unique output sequences
Genus                   Input sequences
                             ESTs          ESTs     Ets (1)    TCs (2)

Quercus (OGI project)       148,876       22,470       0        19,674
Pinus (PGI project)         452,256       32,337      131       44,858
Populus (PplGI)             423,556       50,065      248       50,563
Picea (Sgi project)         541,490       34,866       26       44,517

(1) ETs: nonredundant transcripts (contain a set of nucleotide
sequences that represent mature transcripts); 2TCs: tentative
consensus sequences that are created by assembling ESTs into
virtual transcripts, and they could be based on two or more
ESTs (and possibly an ET) that overlap for at least 40 bases
with at least 94% of sequence identity. They could comprise
ESTs derived from different tissues.

TABLE 2: Specific and conserved miRNA sequences identified in
angiosperms and/or conifers and respective predicted functions
or targets. Some of the targets correspond to hormones and
transcription factors involved in the secondary growth and
wood formation.

                  miRNA          Predicted functions or targets

                  ptr-miR156     (i) SPB-like
                                 (ii) Nitrate transporter
Conserved                        (i) MYB
miRNAs between    ptr-miR159     (ii) Asparagine synthase
poplar and                       (iii) (1-4)-b-mannan endohydrolase
Arabidopsis       ptr-miR160     Auxin-responsive factor
[25, 66]          ptr-miR162     DCL1
                  ptr-miR164     (i) NAC-domain protein
                                 (ii) Protein kinase
                  ptr-miR168     (i) Vesicle coat protein complex
                                 (ii) AGO1
                  ptr-miR171     Scarecrow-like transcription factor
                  ptr-miR172     Homeotic protein APETALA2
                  ptr-miR319     MYB
                  ptr-miR408     (i) Plastocyanin-like
                                 (ii) Early-responsive to
                                   dehydration-related protein
                  ptr-miR472     Putative disease resistance protein

                  ptr-miR473     (i) UV-B-resistant protein (UVR8)
                                 (ii) GRAS domain-containing protein
                                 (i) PPR
                  ptr-miR474     (ii) Protein kinase
                                 (iii) Kinesin
                                 (iv) Leucine-rich repeat
Poplar            ptr-miR475     PPR
miRNAs [66]       ptr-miR476     PPR
                                 (i) GRAS domain-containing protein
                  ptr-miR477     (ii) NAC-domain protein
                                 (iii) Zinc finger protein
                  ptr-miR478     Organic anion transporter
                  ptr-miR480     Proton-dependent oligopeptide
                                   transport family protein
                  ptr-miR482     Putative disease resistance protein

                  pta-miR156     (i) Peptidyl-tRNA hydrolase-like
                                 (ii) SPB-domain protein
                  pta-miR159     (i) MYB
                                 (ii) Programmed cell death 6
                  pta-miR160     (i) Auxin-responsive factor
                                   10 (ARF10)
                                 (ii) Aux/IAA protein
                  pta-miR319     Acyl-ACP thioesterase
P. taeda          pta-miR946     Disease resistance protein
miRNAs [67]                      (i) Pepsin A
                  pta-miR947     (ii) Microtubule-bundling
                                 (iii) Non-protein-coding genes
                  pta-miR948     (i) Serine/threonine kinase
                                 (ii) Pepsin A
                  pta-miR950     (i) Non-protein-coding genes
                                 (ii) AMP-binding protein
                  pta-miR951     Non-protein-coding genes
                  pta-miR952     (i) Multidrug resistance-associated
                                 (ii) Thaumatin-like

                  pde-miR162     (i) DCL1 (RNA processing)
                                 (ii) Nodal modulator 1-like
                                   (carboxypeptidase activity)
Conserved         pde-miR166     Class III HD-Zip protein HDZ33
miRNAs found                       (DNA binding)
in Pinus          pde-miR171     (i) GRAS famiiy transcription factor
densata [70]                       (DNA binding)
                                 (ii) Actin binding protein
                                   (actin binding)
                  pde-miR482     Histone deacetylase (histone
                  pde-miR2118    CC-NBS-LRR resistance-like protein
                                   (defence response)
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Author:Carvalho, Ana; Paiva, Jorge; Louzada, Jose; Lima-Brito, Jose
Publication:Molecular Biology International
Article Type:Report
Geographic Code:4EUPR
Date:Jan 1, 2013
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