Abstract
Programmed cell death (PCD) is essential for wood development in trees. However, the determination of crucial factors involved in xylem PCD of wood development is still lacking. Here, two Populus trichocarpa typical aspartic protease (AP) genes, AP17 and AP45, modulate xylem maturation, especially fibre PCD, during wood formation. AP17 and AP45 were dominantly expressed in the fibres of secondary xylem, as suggested by GUS expression in APpro::GUS transgenic plants. Cas9/gRNA-induced AP17 or AP45 mutants delayed secondary xylem fibre PCD, and ap17ap45 double mutants showed more serious defects. Conversely, AP17 overexpression caused premature PCD in secondary xylem fibres, indicating a positive modulation in wood fibre PCD. Loss of AP17 and AP45 did not alter wood fibre wall thickness, whereas the ap17ap45 mutants showed a low lignin content in wood. However, AP17 overexpression led to a significant decrease in wood fibre wall thickness and lignin content, revealing the involvement in secondary cell wall synthesis during wood formation. In addition, the ap17ap45 mutant and AP17 overexpression plants resulted in a significant increase in saccharification yield in wood. Overall, AP17 and AP45 are crucial modulators in xylem maturation during wood development, providing potential candidate genes for engineering lignocellulosic wood for biofuel utilization.
Keywords: Aspartic protease, Populus trichocarpa, programmed cell death, saccharification, secondary cell wall, wood formation, xylem fibre
Populustypical aspartic protease genes AP17and AP45 function in xylem maturation during wood formation, providing potential candidate genes for engineering lignocellulosic wood for biofuel utilization.
Introduction
Wood, a dominant terrestrial biomass, is an important renewable resource for construction, paper manufacturing and bioenergy, serving as an essential sink for carbon deposition, recycling atmospheric CO2 to preserve the ecological environment. In angiosperm trees, wood is mainly composed of secondary xylem tracheary elements (TEs) and fibres responsible for water transport and mechanical support. Wood formation undergoes a genetically controlled xylogenesis process of xylem development, including cell division of the vascular cambium, cell differentiation and expansion, secondary cell wall (SCW) lignification and deposition, and programmed cell death (PCD) (Mellerowicz and Sundberg, 2008; Déjardin et al., 2010). To date, most biosynthesis enzymes for wood components (cellulose, xylan, and lignin) have been functionally characterized, and significant progress has provided insights into vascular cambium activity, xylem cell differentiation and expansion, and SCW synthesis and regulation (Baucher et al., 2007; Scheller and Ulvskov, 2010; McFarlane et al., 2014; Zhang et al., 2014a; Barros et al., 2015; Zhong et al., 2019). However, only a few studies have documented xylem PCD during wood formation. Thus, the crucial factors involved in tree stem xylem maturation remain to be identified.
In plants, PCD occurs as an inherent part of development (developmental PCD, dPCD) and in responses to environmental stimuli (environmental PCD, ePCD) (Coll et al., 2011; Daneva et al., 2016; Huysmans et al., 2017; Kabbage et al., 2017). A variety of dPCD events in plants have been distinguished based on their developmental context. Differentiation-induced dPCD serves as an inherent differentiation step in particular cell types, such as xylem and root cap cells (Escamez and Tuominen, 2014; Kumpf and Nowack, 2015). In angiosperms, the xylem develops an interconnected network consisting of TEs, fibres, and ray parenchyma cells. In the process, xylem PCD is an inseparable part of xylem maturation, and there is difficulty uncoupling cell death from SCW formation. Owing to a breakthrough in the Zinnia elegans TE differentiation system in vitro (Fukuda and Komamine, 1980), more information on the PCD of TEs has been provided in angiosperm species. A striking feature is the rupture of the tonoplast, which releases hydrolytic enzymes from the vacuole, and activation of cytoplasmic enzymes by acidification of the cytoplasm, rapidly initiating post-mortem clearance, dismantling the membrane system, and degrading nuclear DNA and organelles (Fukuda, 1997; Groover et al., 1997; Kuriyama, 1999; Obara et al., 2001; Escamez and Tuominen, 2014). Based on morphological changes during xylem cell death, the main differences in PCD of fibres are that, apart from vacuolar disintegration, nuclear DNA integrity is compromised, and cytoplasmic contents are gradually degraded (Courtois-Moreau et al., 2009; Bollhöner et al., 2012). Overall, genetic evidence for understanding the dPCD pathway is still lacking, especially for xylem PCD during wood formation.
Proteases, which are crucial regulators, have been implicated in the regulation and/or progression of PCD processes in plants (Minina et al., 2014; Buono et al., 2019). Arabidopsis xylem cysteine proteases XCP1 and XCP2 accumulate in the vacuole; moreover, deletion of the encoding genes does not cause PCD impairment but shows a delay in PCD-associated cell clearance during TE differentiation (Funk et al., 2002; Avci et al., 2008). Han et al. (2012) indicated that the 20S proteasome with caspase-3-like activity in poplar xylem is involved in PCD during TE differentiation. AtMC9, a xylem-specific metacaspase located in the apoplast and vacuole, participates in the regulation of TE autolysis in Arabidopsis, and the atmc9 mutant displays delayed post-mortem clearance (Vercammen et al., 2006; Bollhӧner et al., 2013; Escamez et al., 2016). The MC9 poplar homologues, PttMC13 and PttMC14, modulate the downstream proteolytic processes and cell death of xylem elements (Bollhӧner et al., 2018). Mutations in the Arabidopsis cysteine protease gene CEP1 cause delayed organelle degradation in fibres and TEs during xylem development (Han et al., 2019). However, fewer xylem proteases have been functionally described in xylem PCD of wood formation at the genetic level.
In our previous study, the characterization of aspartic protease (AP) genes in Populus trichocarpa suggested that multiple APs might participate in wood formation (Cao et al., 2019). In plants, APs include typical, atypical, and nucellin-like APs, and several atypical and nucellin-like APs have been implicated in dPCD processes and stress responses (Ge et al., 2005; Phan et al., 2011; Niu et al., 2013; Soares et al., 2019). Typical APs have a plant-specific insert (PSI) domain as a vacuolar sorting signal (Pereira et al., 2013). In this study, two typical AP genes, AP17 and AP45, are predominantly expressed in the fibres of the secondary xylem in P. trichocarpa. Cas9/gRNA-induced gene mutants and overexpression transgenic plants indicate that AP17 and AP45 play a positive role in xylem PCD during wood formation. In addition, loss or overexpression of AP17 and AP45 alters wood SCW synthesis, especially by decreasing lignin content. These alterations in wood SCWs result in a significantly improved saccharification yield, applicable to biofuel utilization.
Materials and methods
Plant material and growth conditions
P.
trichocarpa genotype Nisqually-1 grown in a greenhouse at the Northeast Forestry University of China was used in this study. Sterile plantlets were propagated as previously described (Li et al., 2017) for genetic transformation in a growth chamber. The transgenic plantlets generated were planted in soil for phenotypic analysis in a greenhouse (22−25 °C; 16/8h light/dark cycle) with a light intensity of ~250 μmol m−2 s−1. Arabidopsis thaliana (ecotype Col-0) seedlings were used for transformation, and the transgenic Arabidopsis plants obtained were grown for phenotypic analysis under long-day conditions (20−22 °C; 16/8h light/dark cycle; 80−120 μmol m−2 s−1 light intensity).
Vector constructs
Genomic DNA from P. trichocarpa was extracted using a plant genomic DNA extraction kit (Bioteke, China). Promoter regions of approximately 3 kb of AP6/11/19/42/45/47 were amplified from genomic DNA with specific primers, and the purified fragments were ligated into pENTR/D-TOPO (Invitrogen, USA) for sequencing. These clones were constructed into pGWB3 vectors using the LR (attL1-gene-attL2 × attR1-ccdB-attR2) reaction mediated by Gateway® LR Clonase™ (Invitrogen, USA). The AP17 promoter fragment was constructed into pGWB3 vector using the LR reaction, which was obtained from a previous study (Cao et al., 2019).
Efficient gRNA target sites for AP17 and/or AP45 were analysed using CRISPR direct software for designing CRISPR/Cas gRNA with reduced off-target sites (Naito et al., 2015). The PCR fragment was amplified using pCBC-DT1T2 as a template, and the purified PCR fragments and pHSE401 plasmid were generated using pHSE401-2gRNA vectors with the Golden Gate reaction. pCBC-DT1T2 and pHSE401 were kindly provided by Prof. Qi-Jun Chen (Xing et al., 2014).
For the overexpression constructs, the coding DNA sequence (CDS) of the AP17/45 gene was amplified and ligated into pGWB11 to generate the 35S::AP17/45 construct. Overlapping PCR was used to splice the promoter and the CDS of the AP17 gene, and the splicing fragment was integrated into pGWB10 to generate the proAP17::AP17 construct. The mutated forms of AP17D106/293N and AP45D106/293N were constructed by site-directed mutagenesis using the TaKaRa MutanBEST Kit (TaKaRa, China), and the resultant clones were integrated into pGWB10 or pGWB11 to generate 35S::AP17D106/293N, 35S::AP45D106/293N, and proAP17::AP17D106/293N constructs. The primers used are shown in Supplementary Table S1. The resultant vectors were introduced into the Agrobacterium tumefaciens strain GV3101 for transformation.
Genetic transformation of P. trichocarpa and A. thaliana
Agrobacterium-mediated transformation of P. trichocarpa was performed according to the protocol described by Li et al. (2017) and Xu et al. (2021). A. thaliana was transformed using the floral-dip method as described previously (Clough and Bent, 1998). Transgenic Arabidopsis plants were selected for kanamycin resistance and assayed using PCR.
Identification of the Cas9/gRNA-induced mutations
After 1 month of growth of the transformants in a greenhouse, genomic DNA was extracted from the leaves of WT and transgenic plants and used as the template for PCR amplification with primers (Supplementary Table S1) flanking the gRNA target sites. The amplified DNA fragments were cloned into pMD18-T vectors (TaKaRa), and 30 positive clones from each amplicon were sequenced to detect the mutations as described previously (Xu et al., 2021).
GUS staining
GUS staining analysis of transgenic young trees was performed as previously described (Jefferson et al., 1987). For each promoter::GUS, at least six independent transgenic lines were used for GUS staining analysis, and the experiments were repeated thrice. Images of the stained leaves were captured using a two-colour infrared laser imaging system (Odyssey, USA); and images of the roots, stems, and veins were captured using a BX43 upright microscope (Olympus, Japan); and images of apical buds were recorded using a SZX7 stereomicroscope (Olympus, Japan).
Cell viability and death assays by nitroblue tetrazolium, Evans blue, Coomassie blue, and trypan blue staining
Cell viability and death analysis were performed as described previously (Escamez et al., 2017). Cross-sections of the 22nd stem internodes from 4-month-old wild-type (WT) and transgenic young trees were collected by hand-sectioning. After the cross-sections were incubated for 2 h under strong light in 0.1 M phosphate buffer (pH 7.6) containing 1 g l−1 nitroblue tetrazolium (NBT) (Sigma-Aldrich) and 0.1 M sodium succinate, the width of living xylem (four random positions per section and three sections per tree) was measured under a BX43 upright microscope. For Evans blue staining, 70-cm-long Populus stems were incubated in 1% Evans blue solution for 2 h in the greenhouse, then cross-sections of 15th stem internodes were collected by hand-sectioning, and recorded under a BX43 upright microscope.
Coomassie staining was carried out according to Brereton (2016) with minor modifications. Transverse sections of 60 μm were made on a vibratome (Leica, Germany) and immediately incubated in 0.1 M phosphate buffer (pH 7.6) containing 1% Coomassie blue R250 and 0.1 M sodium succinate for 4 h under room temperature. After washing with the corresponding phosphate buffer, the sections were visualized under a BX43 upright microscope. Cross-sections of basal stems of Arabidopsis plants (growth stage 9.70; Boyes et al., 2001) were collected by hand-sectioning and incubated in NBT solution as above for 5 min. The cross-sections were viewed under a BX43 upright microscope.
Trypan blue staining to visualize cell death was performed as previously described (Wang et al., 2019). Briefly, the 4th leaves from 3-week-old transgenic Arabidopsis plants (growth stage 1.10) were harvested and immersed for 20 min in reaction buffer (65 °C) containing 2 mg/ml trypan blue (Sigma-Aldrich), 25% (w/v) lactic acid, 23% (v/v) liquid phenol, and 25% (v/v) glycerol. These stained leaves were then destained with 250% (w/v) chloral hydrate solution and recorded using a SZX7 stereomicroscope. Twelve individual plants for each transgenic line were prepared, and three independent experiments were repeated.
Transmission electron microscopy (TEM) analysis
Samples were prepared for transmission electron microscopy (TEM) analysis according to the method described previously (Xi et al., 2017). The 12th stem internodes of 3-month-old Populus young trees were cut into lengths of 2–3 mm and fixed in 0.1 M PBS buffer (pH 7.4) containing 2.5% (w/v) glutaraldehyde and 4% (w/v) paraformaldehyde (Sigma-Aldrich). The samples were sequentially washed, dehydrated, immersed, sectioned, and stained, and the images were recorded using an HT-7700 electron microscope (Hitachi, Japan) at 80 kV. Three sections per tree and 15 measurements per section were recorded using Image J software. In addition, cross-sections of basal stems of Arabidopsis plants (growth stage 6.90) were collected by hand-sectioning and then stained with 0.05% (w/v) toluidine blue solution for 5 min. Images of the cross-sections were captured using a BX43 upright microscope, and the wall thickness of the interfascicular fibres (IFs) was measured using Image J software.
Wood fibre and vessel cell size analyses
The sizes of the wood fibre and vessel cells were determined as described previously (Lautner et al., 2007) with minor modifications. The 22nd stem internodes of 4-month-old WT and transgenic trees were peeled, cut into small pieces, and macerated in a solution containing 10% (v/v) nitric acid and 10% (v/v) chromic acid for 4–6 h at 60 °C. Each stem internode was then rinsed lightly with distilled water six times. After rinsing and mechanical breakage, secondary xylem cells were placed on a slide and visualized with 0.1% (w/v) fuchsin acid under a BX43 upright microscope. The sizes of 900 fibres and 600 vessels from each sample were measured using ImageJ software.
Wood composition assay
The basal stems from 4-month-old P. trichocarpa young trees were peeled and dried at 55 °C, and the dried wood was ground to a fine powder by ball milling. The powder was washed successively with 70% ethanol, a chloroform/methanol (1:1 v/v) solution, and acetone, and the air-dried insoluble residues were processed into cell wall materials for crystalline cellulose and lignin content assays. The lignin content was assayed by the acetyl bromide spectrophotometric method (Foster et al., 2010a), and the crystalline cellulose content was determined as described previously (Foster et al., 2010b).
Transcriptome sequencing
Samples of developing xylem were scraped from three 4-month-old P. trichocarpa tree stems 25–35 cm above soil level. Total RNA was extracted using a plant RNA extraction reagent (Bio-Flux, China). Three biological repeats of ap17ap45 and WT RNA preparations were sent to the Annoroad Gene Biotechnology Co., Ltd (Beijing, China) for quality examination, and those that qualified were used for library preparation using the NEBNext® Ultra™ RNA Library Prep Kit (NEB, USA). The libraries were sequenced on an Illumina HiSeq 4000 sequencing platform (San Diego, USA). The raw reads were filtered to generate clean reads and mapped to the P. trichocarpa genome using HISAT2 version 2.1.0 (Kim et al., 2015). Read counts for each gene were generated by HTSeq version 0.6.0, and the fragments per kilobase of transcript per million mapped reads (FPKM) were calculated to estimate the expression level of genes in each sample (Trapnell et al., 2012). The data were submitted to the NCBI Sequence Read Archive (accession numbers SRR14040098–SRR14040103).
The transcriptome data processing was performed as previously described (Han et al., 2019). Differential expression analysis between the ap17ap45 and WT plants was performed using DESeq2 version 1.6.3. The P-value was adjusted using the Benjamini and Hochberg’s approach for controlling the false discovery rate (FDR). A corrected P-value <0.05 and |log2_ratio| ≥1 were set as the threshold for significant differential expression. Gene ontology (GO) enrichment analysis of differentially expressed genes (DEGs) was performed using the GOseq R package, and a corrected P-value of <0.05 was considered significantly enriched among DEGs.
RT-qPCR
cDNA was synthesized using the PrimeScript RT Reagent Kit (TaKaRa) and diluted 1:10 in nuclease-free water. RT-qPCR was performed on a qTOWER3G Real-Time PCR System (Jena, Germany) with the TB Green Premix Ex Taq (TaKaRa). The PCR parameters were as follows: 95 °C for 30 s; 40 cycles of 95 °C for 5 s, 55 °C for 30 s, 72 °C for 45s. The comparative Ct (2−ΔΔCt and 2−ΔCt) methods were used to calculate transcript abundance in Populus and Arabidopsis, respectively. The gene expression levels were normalized using the geometric mean of Ptactin2, PtEF1β, and PteIF5A expression in Populus, and AtActin2, AtGAPDH, and AtUBQ10 expression in Arabidopsis. The primers are listed in Supplementary Table S1.
Saccharification assays
Saccharification of the wood cell walls was performed as previously described (Yang et al., 2013). Ball-milled powder from the 4-month-old wood of WT, mutant, and overexpressed plants was prepared. Saccharification assays were initiated by adding 83 mM sodium citrate buffer (pH 6.2) containing 4.4% (w/w) cellulase R10 (Yakult Pharmaceutical Ind. Co., Ltd., Japan) and 0.44% (w/w) β-glucosidase (Yuanye Bio-Technology, China). Reducing sugars were assessed by the 3,5-dinitrosalicylate reaction. After 12, 24, 36, 48, 60, and 72 h of incubation (at 50 °C) in a constant temperature shaking incubator at 200 rpm (Labotery, China), reducing sugars were quantified by measuring the absorbance at 540 nm using a microplate reader (Tecan, Austria).
Statistical analysis
Data from the transgenic and WT plants were analysed using analysis of variance (ANOVA) in SPSS 19.0. Values are the mean ±SD, and asterisks indicate statistical significance at different levels (*P<0.05, **P<0.01).
Accession numbers
The sequences from this article can be found in Phytozome (version 13.0) under the following accessions: AP6 (Potri.001G356900), AP11 (Potri.002G228300), AP17 (Potri.004G007600), AP19 (Potri.005G002800), AP42 (Potri.010G003400), AP45 (Potri.011G007600), and AP47 (Potri.013G002200).
Results
Identification of the typical APs dominantly expressed in P. trichocarpa secondary xylem
Seven typical APs (AP6, AP11, AP17, AP19, AP42, AP45, and AP47) have been shown in P. trichocarpa (Cao et al., 2019). We constructed a phylogenetic tree of typical P. trichocarpa APs with Arabidopsis, grape and rice homologues (Supplementary Table S2). AP11, AP17, and AP45 clustered into a subgroup with Arabidopsis PASPA3, which was the closest to AP11 (Supplementary Fig. S1A). As shown in Supplementary Fig. S1B, the seven typical APs in P. trichocarpa have the PSI (including SapB_1 and SapB_2) domain, and most contain a C-terminal vacuolar sorting determinant (FAEA peptide), except for AP11 and AP42. In addition, the conserved aspartic residues in the DTG and DSG motifs, crucial for AP activity (Yao et al., 2012; Li et al., 2016; Guo et al., 2019), are present in all seven typical APs.
To identify the typical APs involved in secondary xylem development, we examined the promoter activities of the seven APs in different tissues through a promoter::GUS approach (Fig. 1; Supplementary Fig. S2). Strong GUS signals were detected in apical buds, leaves, and roots of the AP11pro::GUS lines. In contrast, AP17 promoter-driven GUS expression was intensively detected in the fibres of secondary xylem, and leaf veins and root steles, and GUS expression driven by the AP45 promoter was moderate in secondary xylem fibres. For AP6pro::GUS lines, GUS signals were visually localized only in the scales of the leaf bud. In addition, GUS activity was hardly detected in AP19pro::GUS, AP42pro::GUS, or AP47pro::GUS lines grown in a greenhouse under normal conditions (Supplementary Fig. S2). The promoter-driven GUS expression patterns of these typical APs in different tissues were consistent with our previous RT-qPCR and microarray data (Supplementary Fig. S3; Cao et al., 2019). Taken together, AP17 and AP45 are dominantly expressed in the fibres of P. trichocarpa secondary xylem, suggesting that they might be involved in wood formation.
Fig. 1.
Tissue expression activities of AP6, AP11, AP17, and AP45 gene promoters in P. trichocarpa. GUS activity driven by typical AP6, 11, 17, or 45 gene promoters was analysed in the corresponding APpro::GUS transgenic P. trichocarpa. For each promoter::GUS, at least six independent transgenic lines were used for GUS staining analysis, and the experiments were repeated thrice with consistent results. Leaves and roots from 4-week-old transgenic plants; apical buds, main veins, and stems from 3-month-old transgenic plants.
Production of Cas9/gRNA-induced ap17, ap45, and ap17ap45 mutants
To investigate the function of AP17 and AP45 in P. trichocarpa, we generated two gene mutants using the Cas9/gRNA technique. As AP17 and AP45 are a pair of duplicated genes and share high amino acid identities (90.2%), double gene mutation lines were also generated using the same method. Two pairs of gRNAs were selected for each gene to generate multiple mutants (Fig. 2A). After detection of the edited target sites, a total of 12, 7, and 10 mutation lines were obtained for the AP17, AP45, and AP17/45 genes, respectively (Supplementary Table S3). As a result, the nucleotide deletions and insertions at target sites caused frameshift mutations and generated putative knockouts of these genes. We chose three ap17 (ap17-2, ap17-3, ap17-4), ap45 (ap45-1, ap45-4, ap45-5) and ap17ap45 (ap17ap45-3, ap17ap45-4, ap17ap45-9) knockout mutants for further functional studies (Fig. 2B).
Fig. 2.
Cas9/gRNA-induced mutations in AP17, AP45, and AP17/45 genes. (A) Six gRNAs were designed in the AP17, AP45, and AP17/45 genes. Characterization of the target site mutations in nine ap mutants (ap17-2#, -3# and -4#, ap45-1#, -4# and -5#, ap17ap45-3#, -4#, and -9#). Black points and blue letters represent the deletion and insertion of nucleotides. (B) The deduced amino acids of protein-coding regions from the Cas9/gRNA-edited genes in the ap17, ap45, and ap17ap45 mutants. The number of amino acids of mutated proteins is shown and the conserved catalytic residues, PSI domains and FAEA peptides are indicated in AP17 and AP45.
The WT, and the ap17, ap45, and ap17ap45 mutants were grown for 4 months in a greenhouse under the same environmental conditions. Compared with the WT, no significant differences in the phenotypes, including tree height, stem diameter, and leaf shape, were observed in the ap17, ap45, and ap17ap45 mutant trees (Fig. 3A; Supplementary Fig. S4A, B). In addition, we measured the sizes of wood fibres and vessels in the WT, and the ap17, ap45, and ap17ap45 mutants, and no significant differences were detected between the WT and these mutants (Supplementary Fig. S4C–F). These data suggest that AP17 and AP45 have no (or weak) roles in xylem cell proliferation and expansion in P. trichocarpa.
Fig. 3.
Histochemical staining of living xylem elements with nitroblue tetrazolium (NBT) and Coomassie blue in the WT, and the ap17, ap45, and ap17ap45 mutant stems. (A) Morphology of WT, and the ap17, ap45, and ap17ap45 mutants grown for 4 months in the greenhouse. (B) NBT and Coomassie staining shows xylem cell viability in transverse sections of 4-month-old WT, and ap17, ap45, and ap17ap45 mutant stems. Living xylem cells are black/purple or the remnants of cell contents are blue in the images, and the fibre cells that lose their viabilities or contents were visible synchronously around the circumference of the stems, as partly indicated in red rectangles. After magnification of the red rectangles, asterisks indicate the living xylem fibre cells with black/purple coloration or the remnants of cell contents with blue coloration. Arrowheads indicate vascular cambium and red dotted lines indicate the width of living xylem fibre layer. (C) The width of the living xylem fibre layer is assayed in different lines of the ap17, ap45, and ap17ap45 mutants. Values are means ±SD (n=3) from three biological repeats. Asterisks denote significant difference from the WT by one-way ANOVA (**P<0.01).
Delay of xylem PCD in wood formation by ap17, ap45, and ap17ap45 mutants
To examine whether AP17 and AP45 are implicated in PCD of wood formation, we detected cell viability and death using several histochemical staining methods in the xylem of the WT, and the ap17, ap45, and ap17ap45 mutants. Cell viability assay with NBT staining showed that the death of xylem fibres occurred synchronously around the circumference of the 4-month-old WT stems at a distance of approximately 520 μm from the vascular cambium (Fig. 3B, on the left). Compared with the WT, the width of the living xylem fibre layer in the ap17-2 and ap45-1 lines (from vascular cambium to pith) was increased by 24.3% and 13.0%, respectively, and similar results were observed in other lines of the mutants (Fig. 3C). In addition, the width of the living xylem fibre layer of ap17ap45 double mutants increased more significantly than the ap17 or ap45 single mutants, revealing the redundant roles of AP17 and AP45 in xylem fibre cell death. Furthermore, Coomassie staining, that assesses remnants of cell contents, was performed in xylem elements of the WT, and the ap17, ap45, and ap17ap45 mutants. Few remnants of cell content in xylem fibres were observed around the circumference of the WT stems at a distance of approximately 510 μm from the vascular cambium (Fig. 3B, on the right), suggesting that these fibres have undergone cellular clearance of PCD. In comparison to the WT, the width of the cell content-enriched xylem fibre layer was significantly increased in the ap17, ap45, and ap17ap45 mutants (Fig. 3B, C). These results show that the ap17 and ap45 mutants delay fibre cell death during wood formation. Next, xylem vessel cell death in the WT, and the ap17, ap45, and ap17ap45 mutants was detected by their ability to transport water using Evans blue staining (Escamez et al., 2017). However, we did not observe a significant delay in xylem vessel cell death in the ap17 and ap45 mutants (Supplementary Fig. S5). Taken together, our findings indicate that the loss of AP17 and/or AP45 delays xylem maturation during wood formation.
Transcriptome analysis of misregulated genes in developing xylem was performed in the ap17ap45 mutants, and a total of 126 DEGs were identified in comparison with the WT (Supplementary Table S4). As expected, AP17 and AP45 appeared in the downregulated DEG group, and the expression profiles of partial DEGs were verified by RT-qPCR (Supplementary Fig. S6). GO enrichment indicated that transcription regulator and oxidoreductase GO categories were overrepresented among upregulated DEGs, while transcription regulator and peptidase activity were enriched among downregulated DEGs (Supplementary Fig. S7A). We further searched for DEG expression profiles in WT woody tissues using the ASPWOOD database (Sundell et al., 2017). Most upregulated DEGs (41) showed low expression in the cambium and cell expansion (CA-CE) zones, while the downregulated DEGs (41) were highly expressed in the SCW formation and maturation zones (Supplementary Fig. S7B). These DEGs were mainly associated with hormone signalling, transcription regulation, cellular oxidation, the cell membrane and autophagy, transport, protein degradation and SCW synthesis (Supplementary Fig. S7C). Interestingly, most lignin biosynthetic enzyme genes were decreased in ap17ap45 mutants at the transcriptional level (Supplementary Table S5). Thus, transcriptome data suggest that AP17/45 affects PCD and SCW synthesis during wood formation.
Overexpression of AP17 leads to premature xylem cell death in wood formation
To further investigate the role of AP17 in wood formation, proAP17::AP17 and 35S::AP17 overexpression constructs were introduced into P. trichocarpa. We obtained 17 and 22 independent transgenic lines for proAP17::AP17 and 35S::AP17, respectively. After detection by RT-qPCR analysis, six highly expressed transgenic lines, proAP17::AP17-2/5/12 and 35S::AP17-4/17/22 (Supplementary Fig. S8), were used for further functional studies.
Compared with the WT, no significant differences in growth phenotypes, including tree height and stem diameter, were observed in proAP17::AP17-2/5/12 and 35S::AP17-4/17/22 overexpressed plants (Fig. 4A). In addition, the sizes of wood fibres and vessels in these overexpressed plants were the same as those in WT plants (Supplementary Fig. S9). However, xylem cell viability staining showed that the living xylem fibre layer in proAP17::AP17 and 35S::AP17 overexpression lines was reduced by 35.9–36.6% and 16.3–18.9%, and the overexpression of AP17 driven by the native promoter accelerated cell death more efficiently than that driven by the 35S promoter, suggesting that AP17 overexpression leads to premature fibre cell death (Fig. 4B, C). In addition, Coomassie staining revealed that the width of the cell content-enriched xylem fibre layer in proAP17::AP17 and 35S::AP17 overexpressing plants was significantly smaller than that in the WT (Fig. 4B, C). However, we did not observe a significant prematurity in xylem vessels of proAP17::AP17 and 35S::AP17 overexpressing plants (Supplementary Fig. S5). Together with ap17, ap45, and ap17ap45 mutant phenotypes (Fig. 3B, C), these findings indicate that AP17 positively modulates xylem cell death in wood formation.
Fig. 4.
Phenotypes of the AP17-overexpressed transgenic trees. (A) Morphology of WT, proAP17::AP17, and 35S::AP17 mutants grown for 4 months in a greenhouse. (B) NBT and Coomassie staining shows xylem cell viability in transverse sections of 4-month-old WT, and proAP17::AP17 and 35S::AP17 transgenic P. trichocarpa stems. Living xylem cells are black/purple or the remnants of cell contents are blue in the images, and the fibre cells that lose their viabilities or contents were visible synchronously around the circumference of the stems, as partly indicated in red rectangles. After magnification of the red rectangles, asterisks indicate the living xylem fibre cells with black/purple coloration or the remnants of cell contents with blue coloration. Arrowheads indicate vascular cambium and red dotted lines indicate the width of living xylem fibre layer. (C) The width of living xylem fibre layer is assayed in different proAP17::AP17 and 35S::AP17 transgenic lines. Values are means ±SD (n=3) from three biological repeats. Asterisks denote significant difference from the WT by one-way ANOVA (**P<0.01).
Genetic perturbation of AP17 and AP45 alters SCW synthesis in wood formation
To assess whether AP17 and AP45 play a role in SCW synthesis, we measured the wall thickness of xylem fibres in the WT, the ap17, ap45 and ap17ap45 mutants and the AP17 overexpression lines. TEM analysis clearly showed a multi-layered wall structure in WT wood fibres with visible S1 and S2 layers and in ap17, ap45, and ap17ap45 mutants, mature fibres exhibiting similar wall structures in the wood (Fig. 5A). However, the wall thickness of the developing (immature) fibres in ap17ap45 mutants was reduced by 3.7–23.2%, compared to WT plants (Supplementary Fig. S10). The AP17-overexpressed plants had a similar wood fibre wall structure but a significant reduction in the wall thickness of fibres compared to the WT and mutants (Fig. 5A, B). Compared with the WT, the wall thickness of secondary xylem mature fibres in proAP17::AP17 and 35S::AP17 overexpression lines was reduced by 18.3–22.2% and 10.6–15.6%, as suggested by the statistical data (Fig. 5B). These results indicate that overexpression of AP17 abates fibre wall thickening during wood formation.
Fig. 5.
Genetic perturbations of AP17 and/or AP45 alter wood SCW synthesis in transgenic trees. (A) TEM images of secondary xylem mature fibre walls in 4-month-old WT, ap17, ap45, and ap17ap45 mutants, and proAP17::AP17 and 35S::AP17 transgenic trees. S1 and S2 layers of fibre SCWs are visible. (B) Wall thickness of secondary xylem mature fibres in 12 stem internodes of 3-month-old WT and transgenic trees. Values are means ±SD (n=15). (C-D) Cellulose and total lignin in dry woods of WT and transgenic trees. Values are means ±SD (n=3) from three biological repeats. Asterisks denote significant differences from the WT by one-way ANOVA (*P<0.05; **P<0.01).
We further examined the cellulose and lignin content in the wood of ap17, ap45, and ap17ap45 mutants, and AP17 overexpression lines. Compared with the WT, the cellulose content was increased in ap17 and ap17ap45 mutants (Fig. 5C). However, the lignin content decreased by 8.4–11.9% and 21.0–27.2% in the ap17 and ap17ap45 mutants, respectively (Fig. 5D). Likewise, the lignin content was decreased in proAP17::AP17 and 35S::AP17 overexpression lines (Fig. 5D). Thus, these findings reveal that genetic perturbation of AP17 and AP45 alters SCW synthesis during wood formation.
Ectopic overexpression of AP17 or AP45 accelerates PCD and reduces SCW thickness in Arabidopsis
To further confirm the roles of AP17 or AP45 in PCD and SCW synthesis, we ectopically overexpressed AP17 or AP45 driven by the 35S promoter or proAP17 in Arabidopsis. Compared with the WT, the obtained overexpression lines (Supplementary Fig. S11) did not display any visible morphological alterations in overall plant growth. However, stronger trypan blue staining signals were observed in the leaf veins of these overexpression lines than those in WT plants (Fig. 6A), indicating premature cell death in leaf vascular tissues promoted by AP17 or AP45 overexpression. Meanwhile, the IFs in the overexpression lines died prematurely (Fig. 6B). Statistical data showed that, compared with the WT, the wall thickness of IFs decreased by 22.3–25.2%, 19.2–22.5%, and 22.8–28.0% in the 35S::AP17, 35S::AP45, and proAP17::AP17 lines (Fig. 6C; Supplementary Fig. S12). Overall, these findings indicate that ectopic overexpression of AP17 or AP45 accelerates PCD and reduces the wall thickness of IFs in Arabidopsis.
Fig. 6.
Overexpression of AP17 or AP45 in Arabidopsis affects PCD and SCW synthesis in transgenic plants. (A) Trypan blue staining analysis of 3-week-old leaves from WT and 35S::AP17, 35S::AP45 and proAP17::AP17 overexpressing plants. Black-blue indicates cell death in tissues. (B) Viability staining analysis of metaxylem and the interfascicular fibres (IFs) in the basal stems of WT, and 35S::AP17, 35S::AP45, and proAP17::AP17 overexpressing plants when the leaves are fully senescent. Living cells are surrounded by white dotted line as indicated. (C) Wall thickness of Ifs in WT, 35S::AP17-2/33/49, 35S::AP45-63/73/95, and proAP17::AP17-15/31/40 overexpressing plants. Values are means ±SD (n=15) from three biological repeats. Asterisks denote significant differences from the WT by one-way ANOVA (**P<0.01).
Plant APs generally contain two conserved aspartic residues crucial for protease activity, and the D106 and D293 of AP17 and AP45 are conserved with other typical APs from different species (Supplementary Fig. S1B). To determine whether the activity of AP17 or AP45 was essential for its biological function, we examined the effects of AP17D106/293N- and AP45D106/293N-mutated variants on PCD and SCW thickness in their overexpression lines in Arabidopsis (Supplementary Fig. S13). Trypan blue staining signals in leaf veins, vascular cell viability, and IF wall thickness in these variants were similar to those in WT plants (Supplementary Figs S14, S15). However, our data suggest that overexpression of AP17 or AP45 accelerates PCD and reduces SCW thickness of IFs in Arabidopsis (Fig. 6). Therefore, these results indicate that AP activities of AP17 and AP45 are essential for their roles in PCD and SCW synthesis in vivo.
Saccharification yield in wood is enhanced by perturbation of AP17/AP45 expression in P. trichocarpa
As genetic perturbation of AP17/45 alters wood SCW synthesis in P. trichocarpa (Fig. 5), we tested whether these transgenic plants could be applied to biofuel utilization. Wood cell wall digestibility was examined in the WT, AP17-overexpressing plants, and the ap17, ap45, and ap17ap45 mutants. The wood cell wall powders of these materials were mildly pre-treated with hot water or dilute alkali, and the amount of liberated sugars was measured after enzymatic saccharification for 12, 24, 36, 48, 60, and 72 h (Fig. 7). At each time point, sugar release from the wood cell walls of transgenic plants was faster than that from WT plants. For example, saccharification yields at 72 h after hot water pre-treatment were increased by 6.3–12.2% in ap17 lines, 3.6–10.8% in ap45 lines, and 14.9–27.3% in ap17ap45 lines (Fig. 7A). More prominently, a significant increase in saccharification yield after hot water pre-treatment was increased by 27.7–40.8% in proAP17::AP17 plants, and a 21.5–40.6% increase in 35S::AP17 plants (Fig. 7B). These data showed that saccharification yields in AP17 overexpressing plants were increased significantly. In addition, saccharification yields after dilute alkali pre-treatment were also increased in AP17-overexpressing plants and ap17ap45 mutants (Fig. 7C, D). Overall, these findings indicate that genetic perturbation of AP17 and AP45 expression could enhance the saccharification efficiency of wood cell walls in P. trichocarpa.
Fig. 7.
Analysis of enzymatic saccharification in wood cell walls of AP17/45-engineered plants. The amount of sugars released from enzymatic digestion (after 12, 24, 36, 48, 60, or 72 h) of wood cell walls derived WT, ap17, ap45, and ap17ap45 mutants, and proAP17::AP17 and 35S::AP17 transgenic lines after hot water (A, B) or dilute alkaline (C, D) pre-treatments, respectively. Values are means ±SD (n=3) from three biological replicates. Asterisks denote significant differences from the WT by one-way ANOVA (*P<0.05; **P<0.01).
Discussion
AP17 and AP45 of typical APs positively modulate xylem maturation in wood formation and are proposed as indicators of wood fibre PCD
Genetic evidence of secondary xylem maturation, especially PCD, is vital for understanding wood formation in angiosperm trees. Our findings showed that loss of AP17 and/or AP45 maintains secondary xylem fibres of ap17, ap45, ap17ap45 mutants alive for longer (Fig. 3), indicating that AP17/45 plays a positive role in wood fibre maturation. No delay in secondary xylem vessel cell death was observed in these mutants. This is supported by the fact that AP17 and AP45 are dominantly expressed in the fibres, not TEs, of secondary xylem, as suggested by their promoter activities (Fig. 1). CEP1 is a papain-like cysteine protease with a KDEL ER retention signal and expressed in various tissues of Arabidopsis, which was involved in tapetal PCD and xylem fibre PCD (Zhang et al., 2014b; Han et al., 2019). In contrast to the location of the CEP1, AP17 and AP45 contain PSI domains (as a vacuolar sorting signal), suggesting a distinct role in fibre maturation. Furthermore, overexpression of AP17 accelerated secondary xylem fibre cell death in transgenic poplars, and ectopic overexpression of AP17 likewise promoted IF cell death in Arabidopsis (Figs 4, 6). Together, AP17/45 of typical APs are a positive modulator of xylem maturation, especially fibre PCD, during wood formation.
Morphological changes indicate that xylem fibres of Populus stems have a unique cell death programme, different from the pattern of xylem TE maturation (Courtois-Moreau et al., 2009). We determined whether the differences occur in the post-mortem cellular clearance of the fibres in the WT and the ap17ap45 mutants. However, we failed to obtain reliable TEM data for this aspect. Alternatively, Coomassie staining of xylem elements assessing the remnants of cell contents indicate that the ap17, ap45, and ap17ap45 mutants delay fibre cell death during wood formation, and overexpression of AP17 advances xylem fibre cell death in transgenic plants (Figs 3, 4). As shown in the comparative developing xylem transcriptome, many misregulated genes with low expression in the CA-CE were upregulated in the ap17ap45 mutants, and conversely, a number of SCW formation and maturation-related genes were downregulated (Supplementary Fig. S7B). This suggests that loss of AP17 and AP45 prolongs the development progress before secondary xylem cell death, agreeing with the data that the thickness of the developing fibre walls reduces in the ap17ap45 mutants (Supplementary Fig. S10). Thus, AP17 and AP45 genes could be proposed as indicators of the fibre PCD during wood formation based on their roles and expression levels.
Most recently, a review has summarized molecular events in wood PCD (Luo and Li, 2022), but current understanding of this aspect is quite insufficient. AP17/45 contains the PSI domain and C-terminal FAEA (Supplementary Fig. S1B), suggesting its location in the vacuole and its provacuolar compartment (PVC). The protein containing the FAEA peptide is likely sorted via the coat protein complex II-mediated ER-Golgi-PVC pathway (Pereira et al., 2013). Our data (Figs 3–5; Supplementary Fig. S7B) imply that AP17/45 is involved in differentiation-induced dPCD in xylem fibre maturation. As xylem fibre PCD is initiated ahead of vacuolar disintegration (Courtois-Moreau et al., 2009), it is proposed that AP17/45 modulates wood fibre PCD, probably via a vacuole non-destructive way, different from the vacuolar-collapse system (Hara-Nishimura and Hatsugai, 2011). For example, there is a possibility that some proteins in the vacuole and/or PVC modified by AP17/45 could flow out and regulate differentiation-induced dPCD in xylem fibres. Identification of the substrates of AP17/45 will help us further understand this process during wood formation.
Perturbation of AP17/45 alters wood SCW synthesis in poplar, improving enzymatic saccharification yields for biofuel production
AP17/45 modulates wood SCW synthesis in P. trichocarpa, supported by the reduced thickness of fibre SCWs in AP17 overexpression poplars and ectopic AP17/45 overexpression in Arabidopsis plants (Figs 5, 6). A decrease in lignin content in wood was also found in the ap17, ap45i, and ap17ap45 mutants, most probably due to the delay in post mortem lignification of the fibres because of the prolonged lifetime. It is in line with earlier hypotheses on the requirement of cell death for full lignification of the xylem elements. Transcriptome data further suggested the involvement of AP17/45 in wood SCW synthesis (Supplementary Fig. S7; Supplementary Table S5). Additionally, SNBE, SMRE, and M46RE cis-elements were found in the promoter regions of AP17 and AP45 (Cao et al., 2019). These cis-elements are involved in SCW formation at the transcriptional level (Zhong et al., 2010, 2012). Gene expression analysis revealed significant overlap in the control of fibre SCW formation and PCD in Populus stems (Courtois-Moreau et al., 2009). Our findings provide genetic and wood chemical evidence for the function of AP17/45 in wood fibre PCD and SCW formation in poplar. Some evidence demonstrates that TE PCD is partly coupled with SCW formation, as suggested by direct regulation of VND6 or XND1 in some SCW- and PCD-related genes and an overlapping inhibition of SCW and PCD by pharmacological treatment (Yamamoto et al., 1997; Groover and Jones, 1999; Zhao et al., 2008; Ohashi-Ito et al., 2010). Thus, an overlap in the SCW and PCD processes occurs in wood fibre maturation.
Poplar, an important bioenergy crop, provides a large amount of lignocellulosic biomass for the generation of biofuels. Our data suggest that AP17 and AP45 are potential candidate genes for engineering lignocellulosic wood. A 14.9–27.3% increase in saccharification yield was observes in the ap17ap45 mutant woods (Fig. 7); this is ascribed to a significant decrease in lignin content, as supported by the downregulation of lignin biosynthetic genes (Supplementary Tables S4, S5). Lignin is the main factor limiting the enzymatic hydrolysis of cellulose into glucose from lignocellulosic biomass, and the decreased lignin content is beneficial for biomass conversion; for example, the knockdown of 4-coumarate:coenzyme A ligase, cinnamoyl-CoA reductase, or caffeoyl shikimate esterase leads to reduced lignin content and improved sugar yields for biofuel production (Xu et al., 2011; Van Acker et al., 2014; Jang et al., 2021). The AP17-overexpressed poplars also showed a 21.5–40.8% increase in the saccharification yield (Fig. 7). Together with the reduced thickness of wood fibre SCWs (Fig. 5), this might be associated with reduced lignin content and/or alteration of lignin structure in immature SCWs caused by premature PCD. Additionally, no biomass penalty is required to improve the enzymatic saccharification efficiency in poplars through modified lignin biosynthesis. Suppression of lignin synthesis in vessels causes growth defects and substantial reductions in biomass yield in poplar (Gui et al., 2020). AP17 overexpression poplars and ap17ap45 mutants displayed no biomass penalty (Figs 3A, 4A). Considering that AP17/45 is dominantly expressed in secondary xylem fibres, alteration of lignin synthesis should mainly occur in the wood fibres of these transgenic poplars.
In summary, AP17 and AP45 of P. trichocarpa typical APs positively modulate xylem maturation, mainly fibre PCD, in wood formation. Additionally, AP17 and AP45 are involved in SCW synthesis during wood formation. Valuably, alterations in AP17/45 expression lead to improved saccharification yield in the wood of transgenic poplars, providing a candidate gene for engineering lignocellulosic wood for biofuel utilization.
Supplementary data
Supplementary data are available at JXB online.
Table S1. All primers used in this study.
Table S2. The sequences of typical APs from different species.
Table S3. AP17 and/or AP45 mutations by the Cas9/gRNA in multiple transgenic lines.
Table S4. The DEGs of developing xylem in the ap17ap45 mutants compared with WT plants.
Table S5. Expression data for lignin synthesis genes in the ap17ap45 mutants compared with WT plants.
Fig. S1. Characterization of P. trichocarpa typical APs.
Fig. S2. Tissue expression activities of AP19, AP42, and AP47 gene promoters in P. trichocarpa.
Fig. S3. Expression profiles of typical AP genes in Populus stem tissues.
Fig. S4. Characterization of the ap17, ap45, and ap17ap45 mutants.
Fig. S5. Evans blue staining of dead vessels in WT and transgenic plant stem xylem.
Fig. S6. Verification of the DEGs by RT-qPCR analysis in the WT and the ap17ap45 mutant.
Fig. S7. Transcriptome analysis of developing xylem in the WT and the ap17ap45 mutant.
Fig. S8. Expression levels of AP17 in the developing xylem of two types of overexpressing plants.
Fig. S9. Characterization of the 35S::AP17 and proAP17::AP17 overexpressing plants.
Fig. S10. Wall thickness of the developing (immature) fibres in the ap17ap45 mutants.
Fig. S11. Expression levels of AP17 and AP45 in overexpressing Arabidopsis plants.
Fig. S12. Wall thickness of interfascicular fibres in the WT, and the 35S::AP17, 35S::AP45, and proAP17::AP17 overexpressing plants.
Fig. S13. Expression levels of AP17D106/293N and AP45D106/293N in overexpressing Arabidopsis plants.
Fig. S14. Gain-of-function of AP17 or AP45 depends on two conserved aspartic acid residues (D106/293).
Fig. S15. Wall thickness of interfascicular fibres in the WT, the 35S::AP17D106/293N-26/51/76, 35S::AP45D106/293N-32/55/63, and proAP17::AP17D106/293N-19/43/52 overexpressing plants.
Acknowledgements
We thank Jianan Wu and Qian Wei (Core Facility Platform, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences) for TEM analysis and Haijiao Huang (Instrument Sharing Platform, State Key Laboratory of Tree Genetics and Breeding) for providing technical assistance.
Contributor Information
Shenquan Cao, State Key Laboratory of Tree Genetics and Breeding, Northeast Forestry University, Harbin 150040, China.
Mengjie Guo, State Key Laboratory of Tree Genetics and Breeding, Northeast Forestry University, Harbin 150040, China.
Jiyao Cheng, State Key Laboratory of Tree Genetics and Breeding, Northeast Forestry University, Harbin 150040, China.
Hao Cheng, State Key Laboratory of Tree Genetics and Breeding, Northeast Forestry University, Harbin 150040, China.
Xiaomeng Liu, State Key Laboratory of Tree Genetics and Breeding, Northeast Forestry University, Harbin 150040, China.
Huanhuan Ji, State Key Laboratory of Tree Genetics and Breeding, Northeast Forestry University, Harbin 150040, China.
Guanjun Liu, State Key Laboratory of Tree Genetics and Breeding, Northeast Forestry University, Harbin 150040, China.
Yuxiang Cheng, State Key Laboratory of Tree Genetics and Breeding, Northeast Forestry University, Harbin 150040, China.
Chuanping Yang, State Key Laboratory of Tree Genetics and Breeding, Northeast Forestry University, Harbin 150040, China.
Simon Turner, University of Manchester, UK.
Author contributions
SC and YC conceived and designed the study. SC, MG, JC, HC, XL, HJ, GJ, and YC performed the experiments and analysed the data. SC wrote the manuscript. YC reviewed and edited the manuscript.
Conflict of interest
The authors declare no conflict of interest.
Funding
This work was supported by the Fundamental Research Funds for the Central Universities (2572021DT01), the National Natural Science Foundation of China (31770637 and 31570580), the Innovation Project of State Key Laboratory of Tree Genetics and Breeding (2019A03), the Natural Science Foundation of Heilongjiang Province, China (ZD2020C004), and the Heilongjiang Touyan Innovation Team Program (Tree Genetics and Breeding Innovation Team).
Data availability
All data supporting the findings of this study are available within the paper and within its supplementary data published online. The sequences from this article can be found in Phytozome (version 13.0) under the following accessions: AP6 (Potri.001G356900), AP11 (Potri.002G228300), AP17 (Potri.004G007600), AP19 (Potri.005G002800), AP42 (Potri.010G003400), AP45 (Potri.011G007600), and AP47 (Potri.013G002200).
References
- Avci U, Earl Petzold H, Ismail IO, Beers EP, Haigler CH.. 2008. Cysteine proteases XCP1 and XCP2 aid micro-autolysis within the intact central vacuole during xylogenesis in Arabidopsis roots. The Plant Journal 56, 303–315. [DOI] [PubMed] [Google Scholar]
- Barros J, Serk H, Granlund I, Pesquet E.. 2015. The cell biology of lignification in higher plants. Annals of Botany 115, 1053–1074. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Baucher M, El Jaziri M, Vandeputte O.. 2007. From primary to secondary growth: origin and development of the vascular system. Journal of Experimental Botany 58, 3485–3501. [DOI] [PubMed] [Google Scholar]
- Bollhöner B, Jokipii-Lukkari S, Bygdell J, et al. 2018. The function of two type II metacaspases in woody tissues of Populus trees. New Phytologist 217, 1551–1565. [DOI] [PubMed] [Google Scholar]
- Bollhöner B, Prestele J, Tuominen H.. 2012. Xylem cell death: emerging understanding of regulation and function. Journal of Experimental Botany 63, 1081–1094. [DOI] [PubMed] [Google Scholar]
- Bollhöner B, Zhang B, Stael S, et al. 2013. Post mortem function of AtMC9 in xylem vessel elements. New Phytologist 200, 498–510. [DOI] [PubMed] [Google Scholar]
- Boyes DC, Zayed AM, Ascenzi R, et al. 2001. Growth stage-based phenotypic analysis of Arabidopsis: a model for high throughput functional genomics in plants. The Plant Cell 13, 1499–1510. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Brereton N. 2016. Sample preparation for X-ray micro-computed tomography of woody plant material and associated xylem visualisation techniques. Bio-Protocol 6, e1767. [Google Scholar]
- Buono RA, Hudecek R, Nowack MK.. 2019. Plant proteases during developmental programmed cell death. Journal of Experimental Botany 70, 2097–2112. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Cao S, Guo M, Wang C, et al. 2019. Genome-wide characterization of aspartic protease (AP) gene family in Populus trichocarpa and identification of the potential PtAPs involved in wood formation. BMC Plant Biology 19, 276. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Clough SJ, Bent AF.. 1998. Floral dip: a simplified method for Agrobacterium-mediated transformation of Arabidopsis thaliana. The Plant Journal 16, 735–743. [DOI] [PubMed] [Google Scholar]
- Coll NS, Epple P, Dangl JL.. 2011. Programmed cell death in the plant immune system. Cell Death and Differentiation 18, 1247–1256. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Courtois-Moreau CL, Pesquet E, Sjödin A, et al. 2009. A unique program for cell death in xylem fibers of Populus stem. The Plant Journal 58, 260–274. [DOI] [PubMed] [Google Scholar]
- Daneva A, Gao Z, Van Durme M, Nowack MK.. 2016. Functions and regulation of programmed cell death in plant development. Annual Review of Cell and Developmental Biology 32, 441–468. [DOI] [PubMed] [Google Scholar]
- Déjardin A, Laurans F, Arnaud D, et al. 2010. Wood formation in angiosperms. Comptes Rendus Biologies 333, 325–334. [DOI] [PubMed] [Google Scholar]
- Escamez S, André D, Zhang B, Bollhöner B, Pesquet E, Tuominen H.. 2016. METACASPASE9 modulates autophagy to confine cell death to the target cells during Arabidopsis vascular xylem differentiation. Biology Open 5, 122–129. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Escamez S, Bollhöner B, Tuominen H.. 2017. Quick histochemical staining methods to detect cell death in xylem elements of plant tissues. Methods in Molecular Biology 1544, 27–36. [DOI] [PubMed] [Google Scholar]
- Escamez S, Tuominen H.. 2014. Programmes of cell death and autolysis in tracheary elements: when a suicidal cell arranges its own corpse removal. Journal of Experimental Botany 65, 1313–1321. [DOI] [PubMed] [Google Scholar]
- Foster CE, Martin TM, Pauly M.. 2010a. Comprehensive compositional analysis of plant cell walls (lignocellulosic biomass) part I: lignin. Journal of Visualized Experiments 37, 1745. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Foster CE, Martin TM, Pauly M.. 2010b. Comprehensive compositional analysis of plant cell walls (lignocellulosic biomass) part II: carbohydrates. Journal of Visualized Experiments 37, 1837. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Fukuda H. 1997. Tracheary element differentiation. The Plant Cell 9, 1147–1156. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Fukuda H, Komamine A.. 1980. Establishment of an experimental system for the study of tracheary element differentiation from single cells isolated from the mesophyll of Zinnia elegans. Plant Physiology 65, 57–60. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Funk V, Kositsup B, Zhao C, Beers EP.. 2002. The Arabidopsis xylem peptidase XCP1 is a tracheary element vacuolar protein that may be a papain ortholog. Plant Physiology 128, 84–94. [PMC free article] [PubMed] [Google Scholar]
- Ge X, Dietrich C, Matsuno M, Li G, Berg H, Xia Y.. 2005. An Arabidopsis aspartic protease functions as an anti-cell-death component in reproduction and embryogenesis. EMBO Reports 6, 282–288. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Groover A, Dewitt N, Heidel A, et al. 1997. Programmed cell death of plant tracheary elements differentiating in vitro. Protoplasma 196, 197–211. [Google Scholar]
- Groover A, Jones AM.. 1999. Tracheary element differentiation uses a novel mechanism coordinating programmed cell death and secondary cell wall synthesis. Plant Physiology 119, 375–384. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Gui J, Lam PY, Tobimatsu Y, et al. 2020. Fibre-specific regulation of lignin biosynthesis improves biomass quality in Populus. New Phytologist 226, 1074–1087. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Guo B, Wang H, Yang B, et al. 2019. Phytophthora sojae effector PsAvh240 inhibits host aspartic protease secretion to promote infection. Molecular Plant 12, 552–564. [DOI] [PubMed] [Google Scholar]
- Han J, Li H, Yin B, et al. 2019. The papain-like cysteine protease CEP1 is involved in programmed cell death and secondary wall thickening during xylem development in Arabidopsis. Journal of Experimental Botany 70, 205–215. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Han JJ, Lin W, Oda Y, Cui KM, Fukuda H, He XQ.. 2012. The proteasome is responsible for caspase-3-like activity during xylem development. The Plant Journal 72, 129–141. [DOI] [PubMed] [Google Scholar]
- Hara-Nishimura I, Hatsugai N.. 2011. The role of vacuole in plant cell death. Cell Death and Differentiation 18, 1298–1304. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Huysmans M, Lema AS, Coll NS, Nowack MK.. 2017. Dying two deaths - programmed cell death regulation in development and disease. Current Opinion in Plant Biology 35, 37–44. [DOI] [PubMed] [Google Scholar]
- Jang HA, Bae EK, Kim MH, et al. 2021. CRISPR-knockout of CSE gene improves saccharification efficiency by reducing lignin content in hybrid poplar. International Journal of Molecular Sciences 22, 9750. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Jefferson RA, Kavanagh TA, Bevan MW.. 1987. GUS fusions: beta-glucuronidase as a sensitive and versatile gene fusion marker in higher plants. The EMBO Journal 6, 3901–3907. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Kabbage M, Kessens R, Bartholomay LC, Williams B.. 2017. The life and death of a plant cell. Annual Review of Plant Biology 68, 375–404. [DOI] [PubMed] [Google Scholar]
- Kim D, Langmead B, Salzberg SL.. 2015. HISAT: a fast spliced aligner with low memory requirements. Nature Methods 12, 357–360. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Kumpf RP, Nowack MK.. 2015. The root cap: a short story of life and death. Journal of Experimental Botany 66, 5651–5662. [DOI] [PubMed] [Google Scholar]
- Kuriyama H. 1999. Loss of tonoplast integrity programmed in tracheary element differentiation. Plant Physiology 121, 763–774. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Lautner S, Ehlting B, Windeisen E, Rennenberg H, Matyssek R, Fromm J.. 2007. Calcium nutrition has a significant influence on wood formation in poplar. New Phytologist 173, 743–752. [DOI] [PubMed] [Google Scholar]
- Li Y, Kabbage M, Liu W, Dickman MB.. 2016. Aspartyl protease-mediated cleavage of BAG6 is necessary for autophagy and fungal resistance in plants. The Plant Cell 28, 233–247. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Li S, Zhen C, Xu W, Wang C, Cheng Y.. 2017. Simple, rapid and efficient transformation of genotype Nisqually-1: a basic tool for the first sequenced model tree. Scientific Reports 7, 2638. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Luo L, Li L.. 2022. Molecular understanding of wood formation in trees. Forestry Research 2, 5. [Google Scholar]
- McFarlane HE, Döring A, Persson S.. 2014. The cell biology of cellulose synthesis. Annual Review of Plant Biology 65, 69–94. [DOI] [PubMed] [Google Scholar]
- Mellerowicz EJ, Sundberg B.. 2008. Wood cell walls: biosynthesis, developmental dynamics and their implications for wood properties. Current Opinion in Plant Biology 11, 293–300. [DOI] [PubMed] [Google Scholar]
- Minina EA, Smertenko AP, Bozhkov PV.. 2014. Vacuolar cell death in plants: metacaspase releases the brakes on autophagy. Autophagy 10, 928–929. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Naito Y, Hino K, Bono H, Ui-Tei K.. 2015. CRISPRdirect: software for designing CRISPR/Cas guide RNA with reduced off-target sites. Bioinformatics 31, 1120–1123. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Niu N, Liang W, Yang X, et al. 2013. EAT1 promotes tapetal cell death by regulating aspartic proteases during male reproductive development in rice. Nature Communications 4, 1445. [DOI] [PubMed] [Google Scholar]
- Obara K, Kuriyama H, Fukuda H.. 2001. Direct evidence of active and rapid nuclear degradation triggered by vacuole rupture during programmed cell death in Zinnia. Plant Physiology 125, 615–626. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Ohashi-Ito K, Oda Y, Fukuda H.. 2010. Arabidopsis VASCULAR-RELATED NAC-DOMAIN6 directly regulates the genes that govern programmed cell death and secondary wall formation during xylem differentiation. The Plant Cell 22, 3461–3473. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Pereira C, Pereira S, Satiat-Jeunemaitre B, Pissarra J.. 2013. Cardosin A contains two vacuolar sorting signals using different vacuolar routes in tobacco epidermal cells. The Plant Journal 76, 87–100. [DOI] [PubMed] [Google Scholar]
- Phan HA, Iacuone S, Li SF, Parish RW.. 2011. The MYB80 transcription factor is required for pollen development and the regulation of tapetal programmed cell death in Arabidopsis thaliana. The Plant Cell 23, 2209–2224. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Scheller HV, Ulvskov P.. 2010. Hemicelluloses. Annual Review of Plant Biology 61, 263–289. [DOI] [PubMed] [Google Scholar]
- Soares A, Ribeiro Carlton SM, Simões I.. 2019. Atypical and nucellin-like aspartic proteases: emerging players in plant developmental processes and stress responses. Journal of Experimental Botany 70, 2059–2076. [DOI] [PubMed] [Google Scholar]
- Sundell D, Street NR, Kumar M, et al. 2017. AspWood: high-spatial-resolution transcriptome profiles reveal uncharacterized modularity of wood formation in Populus tremula. The Plant Cell 29, 1585–1604. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Trapnell C, Roberts A, Goff L, et al. 2012. Differential gene and transcript expression analysis of RNA-seq experiments with TopHat and Cufflinks. Nature Protocols 7, 562–578. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Van Acker R, Leplé JC, Aerts D, et al. 2014. Improved saccharification and ethanol yield from field-grown transgenic poplar deficient in cinnamoyl-CoA reductase. Proceedings of the National Academy of Sciences, USA 111, 845–850. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Vercammen D, Belenghi B, van de Cotte B, et al. 2006. Serpin1 of Arabidopsis thaliana is a suicide inhibitor for metacaspase 9. Journal of Molecular Biology 364, 625–636. [DOI] [PubMed] [Google Scholar]
- Wang L, Wen R, Wang J, et al. 2019. Arabidopsis UBC13 differentially regulates two programmed cell death pathways in responses to pathogen and low-temperature stress. New Phytologist 221, 919–934. [DOI] [PubMed] [Google Scholar]
- Xi W, Song D, Sun J, Shen J, Li L.. 2017. Formation of wood secondary cell wall may involve two type cellulose synthase complexes in Populus. Plant Molecular Biology 93, 419–429. [DOI] [PubMed] [Google Scholar]
- Xing HL, Dong L, Wang ZP, et al. 2014. A CRISPR/Cas9 toolkit for multiplex genome editing in plants. BMC Plant Biology 14, 327. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Xu W, Cheng H, Zhu S, et al. 2021. Functional understanding of secondary cell wall cellulose synthases in Populus trichocarpa via the Cas9/gRNA-induced gene knockouts. New Phytologist 231, 1478–1495. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Xu B, Escamilla-Treviño LL, Sathitsuksanoh N, et al. 2011. Silencing of 4-coumarate:coenzyme A ligase in switchgrass leads to reduced lignin content and improved fermentable sugar yields for biofuel production. New Phytologist 192, 611–625. [DOI] [PubMed] [Google Scholar]
- Yamamoto R, Demura T, Fukuda H.. 1997. Brassinosteroids induce entry into the final stage of tracheary element differentiation in cultured Zinnia cells. Plant and Cell Physiology 38, 980–983. [DOI] [PubMed] [Google Scholar]
- Yang F, Mitra P, Zhang L, et al. 2013. Engineering secondary cell wall deposition in plants. Plant Biotechnology Journal 11, 325–335. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Yao X, Xiong W, Ye T, Wu Y.. 2012. Overexpression of the aspartic protease ASPG1 gene confers drought avoidance in Arabidopsis. Journal of Experimental Botany 63, 2579–2593. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Zhang D, Liu D, Lv X, et al. 2014b. The cysteine protease CEP1, a key executor involved in tapetal programmed cell death, regulates pollen development in Arabidopsis. The Plant Cell 26, 2939–2961. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Zhang J, Nieminen K, Serra JA, Helariutta Y.. 2014a. The formation of wood and its control. Current Opinion in Plant Biology 17, 56–63. [DOI] [PubMed] [Google Scholar]
- Zhao C, Avci U, Grant EH, Haigler CH, Beers EP.. 2008. XND1, a member of the NAC domain family in Arabidopsis thaliana, negatively regulates lignocellulose synthesis and programmed cell death in xylem. The Plant Journal 53, 425–436. [DOI] [PubMed] [Google Scholar]
- Zhong R, Cui D, Ye ZH.. 2019. Secondary cell wall biosynthesis. New Phytologist 221, 1703–1723. [DOI] [PubMed] [Google Scholar]
- Zhong R, Lee C, Ye ZH.. 2010. Global analysis of direct targets of secondary wall NAC master switches in Arabidopsis. Molecular Plant 3, 1087–1103. [DOI] [PubMed] [Google Scholar]
- Zhong R, Ye ZH.. 2012. MYB46 and MYB83 bind to the SMRE sites and directly activate a suite of transcription factors and secondary wall biosynthetic genes. Plant and Cell Physiology 53, 368–380. [DOI] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Supplementary Materials
Data Availability Statement
All data supporting the findings of this study are available within the paper and within its supplementary data published online. The sequences from this article can be found in Phytozome (version 13.0) under the following accessions: AP6 (Potri.001G356900), AP11 (Potri.002G228300), AP17 (Potri.004G007600), AP19 (Potri.005G002800), AP42 (Potri.010G003400), AP45 (Potri.011G007600), and AP47 (Potri.013G002200).







