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Journal of Wood Science

, Volume 64, Issue 5, pp 477–484 | Cite as

The gene expression analysis of Arabidopsis thaliana ABC transporters by real-time PCR for screening monolignol-transporter candidates

  • Manami Takeuchi
  • Atsushi Watanabe
  • Miho Tamura
  • Yuji Tsutsumi
Original Article
  • 94 Downloads

Abstract

The transport of monolignols from the cytosol to the cell wall is essential for lignin synthesis. The ATP-binding cassette (ABC) transporters may be involved in the transport of lignin precursors. ABC transporter genes subjected to expression analysis were chosen based on two criteria for screening candidate transporter genes related to lignification. The expression levels of 15 target genes in five plant organs were analyzed by real-time PCR. Five transporter genes (ABCG29, ABCG30, ABCG33, ABCG34, and ABCG37), which were simultaneously expressed with the reference genes, were selected as candidates. The candidate gene expression levels in root tissues of T-DNA insertion mutants were determined by semi-quantitative reverse transcription PCR. ABCG30 was more highly expressed in the abcg34 mutant than in the wild-type plants, while the expression of ABCG34 was twofold higher in the abcg30 mutant plants than in the wild-type plants. Thus, the expression of ABCG30 and ABCG34 may affect each other. There was no significant change in lignin content and composition in the single-gene knockout mutants of the candidate transporter genes, which suggested that each candidate gene did not solely contribute to lignin synthesis.

Keywords

Arabidopsis thaliana ATP-binding cassette transporter Lignification Gene expression Knockout mutant 

Introduction

Lignin deposits in the cell wall of plants and is important for conducting water and providing structural support. Lignin synthesis involves monolignol synthesis, extracellular transport, and oxidative coupling. Monolignol synthesis occurs in the cytosol, while oxidative coupling takes place in the extracellular space. The transport of monolignols to the outside of the cell is an essential process. To date, several studies have revealed part of the lignin synthesis mechanism. However, the mechanism underlying the extracellular monolignol transport remains relatively uncharacterized.

Studies have attempted to screen for transporters related to extracellular monolignol transport. Investigations of gene expression patterns in stem during different growth stages of Arabidopsis thaliana using microarray analyses detected genes encoding ATP-binding cassette (ABC) transporters, which were synchronously expressed with phenylpropanoid synthesis genes [1]. Plasma and vacuolar membrane vesicles prepared from A. thaliana leaf cells selectively transport monolignols and monolignol glucosides, respectively, in the presence of ATP. Thus, ABC transporters may be involved in monolignol transport [2]. Several ABC transporters described in a study by Ehlting et al. [1] were functionally analyzed [3]. Loss-of-function mutants of selected ABC transporters exhibited no differences in lignin deposition compared with wild-type controls. A co-expression analysis involving microarray data revealed that ABCG29, which is synchronously expressed with some phenylpropanoid synthesis genes, may encode a p-coumaryl alcohol transporter [4]. However, the transporters responsible for transferring two other kinds of monolignols (e.g., coniferyl and sinapyl alcohols) from the cytosol to the cell wall have not been identified.

The ABC transporters form a large protein families and are present in all organisms, ranging from bacteria to higher organisms [5, 6]. These transporters are characterized by their ability to transport diverse molecules across cell membranes using energy released from ATP hydrolysis. Specifically, terrestrial plants have more ABC transporter genes than any other organism, including higher animals [7]. The ABCG transporters represent the largest ABC transporter subfamily in A. thaliana, with 15 full-size and 28 half-size members [8]. Full-size ABCG transporters have been identified in plants, fungi, oomycetes, brown algae, and slime molds, but not in animals [9, 10, 11]. Plants are believed to have adapted to dry land by employing secondary metabolites. The multiplication and functional diversification of plant ABC transporters may have enabled the transport of secondary metabolites. In fact, some secondary metabolites may have been transported by ABC transporters, in particular ABCG subfamily members [12, 13]. Moreover, almost all ABCG proteins studied to date localize to the plasma membrane. Additionally, ABCG29 is an ABCG full-size transporter [4]. It is highly likely that other monolignols that are included in lignin polymers are extracellularly transported by ABCG transporters.

In this study, the screening of candidates for monolignol transport was carried out by analyzing target genes selected based on two criteria. First, a lignified cell wall is a characteristic feature of vascular plants and may have been acquired during evolution. A. thaliana plants contain vascular bundles, and lignin comprises approximately 16% of the cell wall’s dry weight. A. thaliana lignin mainly consists of coniferyl (guaiacyl type) and sinapyl (syringyl type) alcohols, as well as some p-coumaryl (p-hydroxyphenyl type) alcohol [14]. In contrast, Physcomitrella patens, which is a non-vascular plant species, has a lignin-like polymer composed of a p-hydroxyphenyl-type monomer [15]. Thus, the genes responsible for guaiacyl- and syringyl-type monolignol transport may be conserved in A. thaliana but not in P. patens.

The second method for selecting target genes involved the tracheary element (TE) induction, in which the formation and lignification of the secondary wall are promoted shortly after an induction treatment. During the lignification process, lignification-related transporter genes may be expressed simultaneously with other lignification-related genes. In our earlier study, a gene expression analysis of TE-differentiated cultured cells revealed that four ABCG transporter genes were synchronously expressed with genes related to lignin synthesis and secondary wall formation, and one ABCG transporter gene was highly expressed during lignification [16]. These transporters are expected to be involved in monolignol transport.

In total, 15 transporters were further screened by comparing the expression profiles of the corresponding genes with those of reference genes in five plant organs at two growth stages that differed regarding lignification levels. Five transporters were subsequently selected as plausible monolignol-transporter candidates. The analyses of candidate gene expression levels in the single-knockout mutants were conducted based on semi-quantitative reverse transcription PCR. We then measured the lignin content, as well as the syringyl/guaiacyl (S/G) and p-hydroxyphenyl/guaiacyl (H/G) ratios, in single-knockout mutants of the five screened genes to functionally characterize the candidate genes.

Materials and methods

Plant materials and growth conditions

Seeds of A. thaliana were surface sterilized using 0.5% hypochlorous acid and then washed four times with distilled water. Seeds were added to plates containing full-strength Murashige and Skoog medium supplemented with 3% sucrose. The plates were incubated at 4 °C in darkness for 2 days, and moved to 22 °C under a 16-h light/8-h dark cycle (light intensity of 54 mol m−2 s−1). Plants were transferred to soil 3 weeks after germination and incubated for specific periods under the aforementioned growth conditions.

Gene expression analysis among plant organs at different growth stages

Total RNA was isolated from five plant organs: upper stem (2 cm length from the top), cauline leaf, rosette leaf, basal stem (2 cm length from the bottom), and root (whole root) in 4- and 6-week-old A. thaliana using the FavorPrep™ Plant Total RNA Mini Kit (Favorgen Biotech Corp., Ping-Tung, Taiwan). The RNA was treated with Recombinant DNase I (Toyobo Co., Osaka, Japan). First-strand cDNA was synthesized from 100 ng of RNA using a ReverTra Ace® (Toyobo Co.) with a mixture of oligo (dT) and random primers. The cDNA solution was diluted 10 times with ultra-pure water (Merck Millipore, Darmstadt, Germany) and used as template. Online Resources 1 and 2 list the primer sequences for the ABC transporter and reference genes, respectively. The copy numbers of the fragments for each target gene were estimated using a standard-curve method. Each fragment was amplified using the KOD-Plus-Neo (Toyobo Co.). The PCR products were purified with LaboPass™ GEL (Hokkaido System Science Co., Ltd., Sapporo, Japan). The initial copy numbers of purified fragments were estimated using nucleic acid concentrations measured with a NanoDrop 2000 (Thermo Fisher Scientific Inc., Waltham, MS, USA). The qPCR analyses were carried out in an AriaMx Real-Time PCR (Agilent Technologies Inc., Santa Clara, CA, USA) programmed for: 1 cycle of 3 min at 95 °C, followed by 40 cycles each consisting of 5 s at 95 °C and 10 s at 60 °C. The reaction solutions contained 8% extracted cDNA after dilution (volume), 0.4 μM forward and reverse primers, Brilliant III Ultra-Fast SYBR® Green QPCR Master Mix (Agilent Technologies Inc.), and ultra-pure water. To examine the specific amplifications of target genes, melting curves were obtained after the amplifications. The correlation coefficients of the standard curves in this experiment were high (r2 > 0.98). The relative quantity of target mRNA was normalized using the gene for an ubiquitin extension protein (At3g62250) as an internal standard. Raw scores for each gene were standardized to z-scores. A heat map was generated and hierarchical clustering was completed with the heatmap.2 function of the gplots package using the R statistical analysis software (R. ver.3.4.3, R Core Team (2017), http://www.r-project.org).

Selection of homozygous mutant

All T-DNA insertion mutants were obtained from the Arabidopsis Biological Resource Center. The homozygous plants were screened with PCR, using gene specific primers (Online Resource 3) and a T-DNA-specific primer (LBb 1.3: ATTTTGCCGATTTCGGAAC).

Semi-quantitative expression analysis of candidate genes in the single-knockout mutants

Total RNA was extracted from the roots of 4-week-old plants with the FavorPrep™ Plant Total RNA Mini Kit and reverse-transcribed with the PrimeScript™ 1st strand cDNA Synthesis Kit (TaKaRa Bio, Otsu, Japan). The resulting first-strand cDNA samples were diluted twofold, after which 1-µl aliquots were used as templates for a PCR amplification in a final volume of 25-µl containing TaKaRa Ex Taq (TaKaRa Bio) and gene-specific primers (Online Resource 4). The PCR program was as follows: 98 °C for 10 s; 25 cycles of 98 °C for 10 s, 55 °C (UBQ5, ABCG34, and ABCG37) or 60 °C (ABCG29, ABCG30, and ABCG33) for 30 s, and 72 °C for 90 s. The PCR products for the transporter genes and UBQ5 were analyzed in 1 and 2% (w/v) agarose gels, respectively, and stained with ethidium bromide.

Lignin analysis

The lignin content was determined according to the acetyl bromide method [17]. Briefly, 6-week-old A. thaliana stems were ground in liquid nitrogen and treated three times with methanol. Extract-free, oven-dried samples (approximately 10 mg) were digested with a 10-ml acetic acid solution containing 25% acetyl bromide at 70 °C for 30 min. After cooling, sample solutions were transferred to glass tubes containing 9 ml 2N sodium hydroxide and 20 ml glacial acetic acid, after which 1 ml 7.5 M hydroxylamine hydrochloride was added. All solutions were added to a measuring flask and diluted to 50 ml with glacial acetic acid. Solutions were homogenized and filtered through cotton. The resulting filtrate was spectrophotometrically analyzed at 280 nm.

The lignin composition was determined according to the pyrolysis gas chromatography/mass spectrometry [18]. Briefly, inflorescence stems (2 cm length) from the base of 6-week-old plants were collected and treated twice with methanol. Approximately 0.1-mg air-dried samples were pyrolyzed in the presence of 2-μl 25% tetramethylammonium hydroxide at 500 °C for 4 s using the JHP-5 Curie-point Pyrolyzer (Japan Analytical Industry Co., Ltd., Tokyo, Japan). The volatile products were sent to the 7890A/5975C MSD gas chromatography/mass spectrometry system (Agilent Technologies, Inc.) through a transfer line heated to 250 °C and separated on a Quadrex 007-1 capillary column (25 m × 0.25 mm × 0.25 μm). The column temperature was set at 50 °C for 1 min and then increased to 300 °C at 5 °C/min, after which it was maintained for 10 min. The injection and detector were set at 250 and 280 °C, respectively. The analyzed products are listed in Online Resource 5.

Results and discussion

Selection of transporter genes for expression analyses

The transporter genes analyzed by real-time PCR were selected in two ways. First, the A. thaliana genes encoding ABC transporters were compared with those of P. patens. An earlier investigation identified the P. patens ABC transporter genes having close A. thaliana homologs [19]. These A. thaliana ABC transporters were excluded from our study, because they were conserved in vascular and non-vascular plant species. The full-type ABCG subfamily members were selected as target transporters, because some were reported to contribute to the transport of secondary metabolites. We analyzed the expression levels of the following ten full-type A. thaliana ABCG transporter genes that satisfied the set criteria: ABCG30, ABCG32, ABCG33, ABCG34, ABCG37, ABCG38, ABCG40, ABCG41, ABCG42, and ABCG43.

We previously analyzed the expression levels of some transporter genes during the TE differentiation of cultured A. thaliana cells. The expression profiles indicated that four ABCG transporter genes (ABCG11, ABCG22, ABCG29, and ABCG36) were synchronously expressed with reference genes related to secondary wall formation and lignin synthesis. In the same study, ABCG27 was also highly expressed during lignification, although it was not included in the same cluster as the reference genes. Therefore, ABCG11, ABCG22, ABCG27, ABCG29, and ABCG36 were added to the list of target genes for the screening of monolignol-transporter candidates. Among the listed candidates, only ABCG29 has been described as a potential monolignol transporter [4]. Finally, 15 ABC transporter genes were selected as targets in our investigation (Table 1).

Table 1

ABCG transporter genes selected for expression analyses

Gene name

Annotation

ABCG11

Cuticular wax export [24, 25]

ABCG22

Stomatal regulation [26]

ABCG27

Unknown

ABCG29

p-Coumaryl alcohol transport [4]

ABCG30

Root exudation of phytochemicals [18]

ABCG32

Cuticular formation [9]

ABCG33

Unknown

ABCG34

Camalexin transport [19]

ABCG36

IBA transport [27], pathogen resistance [28], heavy metal transport [29]

ABCG37

Coumarin exudation [20]

ABCG38

Unknown

ABCG40

ABA uptake [30]

ABCG41

Unknown

ABCG42

Unknown

ABCG43

Unknown

Expression pattern analysis

The expression patterns of 15 genes encoding ABC transporters were analyzed by real-time PCR. Genes encoding transcription factors for xylem differentiation (VND6 and VND7), secondary cell wall synthesis (MYB46), and monolignol synthesis (MYB58), as well as genes for monolignol synthesis (C4H, CCR1, and CAD5), lignin polymerization (AtPrx25), and programmed cell death (XCP1) were chosen as reference genes (Table 2). Lignin accumulation varies in different organs and growth stages. In this study, five plant organs from 4- and 6-week-old A. thaliana plants were examined. Bolting stems were not observed during the first 3 weeks, but 2–4-cm stems were detected at 4 weeks in A. thaliana. This stem was expected to be actively lignifying, especially in the conducting tissues. Previous studies showed differences in the lignification level between the tops and bottoms of 6-week-old A. thaliana stems, supporting the differences in the expression levels of genes encoding enzymes related to lignification [1, 20]. Root tissues are also lignified for conducting water and nutrients extracted from the soil. Parenchyma cells, with limited lignification, are relatively abundant in leaves. For these reasons, the expression levels of transporter and reference genes were determined for the following five plant organs of 4- or 6-week-old plants: upper stem, basal stem, cauline leaf, rosette leaf, and root.

Table 2

Reference genes related to lignin synthesis and secondary wall formation included in the expression analyses

Gene name

Function

VND6

Transcriptional switch for metaxylem differentiation [31]

VND7

Transcriptional switch for protoxylem differentiation [31]

MYB46

Transcription factor for cell wall formation [32]

MYB58

Transcription factor for lignin synthesis [33]

C4H

Monolignol biosynthetic enzyme [34]

CCR1

Monolignol biosynthetic enzyme [35]

CAD5

Monolignol biosynthetic enzyme [36]

AtPrx25

Lignin dehydrogenative polymerization enzyme [37]

XCP1

Programmed cell death related gene [38]

All gene expression data were analyzed, and a heat map was created. The genes were classified into six clusters (Fig. 1, I–VI). The expression patterns were roughly divided into two blocks, with one including clusters I, II, and III, and the other including clusters IV, V, and VI. Eight of nine reference genes were included in the first block (Fig. 1, I–III), suggesting that transporters related to lignification may be included in the first block. Seven reference genes, namely, VND6 and VND7 (xylem formation), MYB46 (transcription factor for cell wall formation), MYB58 (transcription factor for lignification), C4H and CCR1 (monolignol synthesis), and XCP1 (programmed cell death), were highly expressed in the upper stem and the roots of 6-week-old A. thaliana plants (Fig. 1, II, III-A). Thus, the cell wall that had formed appeared to be undergoing active lignification in these areas. In addition, ABCG29 and ABCG33 were clustered with MYB46 and MYB58 (Fig. 1, II-A). An earlier study suggested that ABCG29 encodes a p-coumaryl alcohol transporter [4]. Our previous research also suggested that ABCG29 is a monolignol transporter, because ABCG29 was coordinately expressed with reference genes, such as MYB58, during the lignification of A. thaliana cell cultures. The expression pattern of ABCG33 was very similar to that of ABCG29, suggesting that ABCG33 may also be a potential lignin synthesis-related transporter. Furthermore, ABCG30, ABCG34, and ABCG37 were synchronously expressed with AtPrx25 in the roots of 4- and 6-week-old plants (Fig. 1, I-D). The roots of the abcg30 mutant had an increased phenolic content, decreased abundance of sugars, and altered fungal and bacterial community profiles in the surrounding soil, suggesting that ABCG30 is related to the exudation of phytochemicals from the roots [21]. ABCG34 was observed to be polarly localized in the plasma membranes of leaf and root epidermal cells, and may be involved in transporting camalexin, a major phytoalexin, in A. thaliana leaves [22]. An altered root exudate chemical composition in the abcg37 mutant implied that ABCG37 affects the exudation of coumarin, which is a phenylpropanoid compound [23]. The roots of 4- and 6-week-old plants, in which ABCG30, ABCG34, and ABCG37 were highly expressed, were expected to be actively exuding compounds. The substrates for the transporters encoded by ABCG30, ABCG34, and ABCG37 have been proposed. However, ABC transporters can transport several structurally and functionally unrelated substrates [7]. Thus, ABCG30, ABCG34, and ABCG37 may be able to transport other substrates, such as lignin precursors, because the corresponding genes were highly expressed with genes related to lignin synthesis. The expression profiles of candidate genes in different plant tissues were investigated on the Arabidopsis eFP Browser (eFP browser: http://bar.utoronto.ca/efp/cgi-bin/efpWeb.cgi, accessed date March 1, 2018). ABCG34 and ABCG37 were strongly expressed in root at the rosette stage. A co-expression analysis using ATTED-II with both the microarray- and RNA-Seq-based co-expression data (ATTED II: http://atted.jp, accessed date March 1, 2018) showed that ABCG34 and ABCG37 were co-expressed in both databases. Our experimental results were consistent with these results. However, ABCG30 was co-expressed with ABCG34 and ABCG37 based on RNA-Seq data, but the microarray data did not show co-expression. In the co-expression analysis using ATTED-II, ABCG29 co-expressed with the phenylpropanoid biosynthesis genes based on the microarray data but not the RNA-Seq data. Because it was difficult to discuss the expression patterns derived using different databases constructed by the different analytical methods, we used our expression analysis data, which was determined by real-time PCR using gene-specific primers, for the subsequent experiment in this study. Five genes (ABCG29, ABCG30, ABCG33, ABCG34, and ABCG37) were finally selected as candidate monolignol-transporter genes, because they were synchronously expressed with several reference genes in actively lignifying plant organs.

Fig. 1

Clustering of gene expression data for each analyzed plant organ. Gene expression levels in different organs were analyzed by real-time PCR. Genes and plant organs were ordered using a clustering program (see “Materials and methods”) that grouped those with similar expression patterns (I–VI and A–E, respectively). Each gene is represented by a single row, and each plant organ is represented by a single column. Sample labels presented in black and blue text represent 4- and 6-week-old plants, respectively. Green and red correspond to high and low expression levels, respectively

Semi-quantitative expression levels of candidate genes in single-gene knockout mutants

We obtained T-DNA insertion mutants for five candidate genes (ABCG29, ABCG30, ABCG33, ABCG34, and ABCG37). Homozygous mutants were selected (see “Materials and methods”). The target transcript level in each mutant’s root was determined by semi-quantitative reverse transcription PCR. In any mutants, the target transcripts were not amplified (Table 3). We were interested in whether the single-gene knockouts affected the expression levels of the other genes. The candidate gene expression levels in root tissue were also semi-quantified and are presented relative to the wild-type expression levels (Table 3). Because ABCG30 expression was very low in wild-type plants, the relative expression of this gene was evaluated qualitatively (Table 3). The ABCG34 expression level was about twofold higher in abcg30 plants than in wild-type plants. The ABCG30 expression level was considerably higher in abcg34 plants than in wild-type plants. Thus, the expression levels of ABCG30 and ABCG34 may have affected each other. The ABCG37 expression levels were highly upregulated in the abcg30 and abcg34 mutants. Meanwhile, the expression levels of ABCG30 and ABCG34 were unaffected in the abcg37 mutant. The ABCG33 expression levels were apparently upregulated in abcg29 and abcg30 plants, while the expression levels of ABCG29 and ABCG30 were not altered in abcg33 plants.

Table 3

Relative expression of candidate transporter genes in single-knockout mutants

 

ABCG29

ABCG30

ABCG33

ABCG34

ABCG37

WT

1.0 ± 0.1

VW

1.0 ± 0.3

1.0 ± 0.1

1.0 ± 0.2

abcg29

ND

ND

1.7 ± 0.1*

1.5 ± 0.1

1.3 ± 0.1

abcg30

1.6 ± 0.0

ND

2.0 ± 0.2*

2.2 ± 0.1*

1.8 ± 0.3*

abcg33

1.3 ± 0.4

ND

ND

1.8 ± 0.7

1.4 ± 0.3

abcg34

1.8 ± 0.5

S

1.5 ± 0.3

ND

1.6 ± 0.2*

abcg37

0.9 ± 0.3

ND

1.1 ± 0.4

0.7 ± 0.6

ND

Gene expression levels in the roots are presented relative to the wild-type expression levels, which were set at 1. Analyses were conducted with three and five biological replicates for WT, abcg29, abcg30, abcg33, and abcg34 and for abcg37, respectively

VW very week, ND not detected, S strong

*Statistical significance vs the wild-type control in each case (p < 0.05, Student’s t test)

Lignin analysis in T-DNA insertion mutants

The acetyl bromide method revealed that the stem of 6-week-old wild-type A. thaliana (Col-0) plants contained approximately 16% lignin. The lignin contents of single-knockout mutants (abcg29, abcg30, abcg33, and abcg34) were almost the same as the wild-type levels (Table 4). Furthermore, the S/G and H/G ratios were determined based on the peak areas of pyrolyzed molecules derived from lignin by β-O-4 cleavage (Online Resource 5). The S/G and H/G ratios were approximately 0.8 and 0.2, respectively, in wild-type and mutant plants (Table 4). The lignin content of abcg37 showed an increasing trend, but the reason is not clear. Kaneda et al. [3] stained the transverse sections of inflorescence stems of the T-DNA insertion mutants abcg29 and abcg33 with toluidine blue or phloroglucinol. There were no changes in vascular bundle morphology or lignin deposition in the mutant lines compared with wild type. Our results were consistent with their results. No apparent alterations in lignin content or monomer composition were observed, suggesting that individual transporters did not play major roles in the transport of lignin monomers. However, multiple genes may simultaneously contribute to lignin synthesis. In fact, ABCG30, ABCG34, and ABCG37 were coordinately expressed in the roots of wild-type plants. The encoded proteins may exhibit cooperative metabolic functions. An earlier study indicated that ABCG29 may be a p-coumaryl alcohol transporter [4]. The expression of ABCG29 was mainly observed in the primary and secondary roots according to GUS staining. The lower stem and whole vasculature of rosette leaves at 2–3 weeks after bolting also produced GUS signals [4]. Our gene expression data indicated that ACCG29 was highly expressed in the roots, but the highest ABCG29 expression levels were observed in the upper stem of 6-week-old plants. Because Alejandro et al. [4] did not provide expression data for 6-week-old plants, we were unable to compare results at this growth stage. However, we analyzed the lignin contents of single-gene knockout mutants, as did Alejandro et al. [4], who examined root tissues. In contrast, our lignin analysis involved the stem, because stems are generally more lignified than the roots. Alejandro et al. [4] used a thioacidolysis method to confirm that the amounts of all lignin monomers per plant fresh weight were lower in the abcg29 mutant roots than in the wild-type roots. They also showed that there were no significant differences in the monomer composition between wild-type and abcg29 mutant plants. In our study, the amount of lignin per cell wall dry weight and the ratios of each monomer were unaffected by single-gene knockouts, including abcg29. Our result suggested that ABCG29 is not solely involved in the transport of p-coumaryl alcohol, at least in the stem.

Table 4

Lignin contents and components in single-knockout mutants

 

Lignin (%)

 

S/G

H/G

WT

16.1 ± 0.5

(100)

0.80 ± 0.08

0.18 ± 0.03

abcg29

16.3 ± 0.5

(101)

0.71 ± 0.03

0.19 ± 0.01

abcg30

16.4 ± 0.5

(102)

0.76 ± 0.04

0.19 ± 0.05

abcg33

16.5 ± 0.6

(102)

0.67 ± 0.06

0.19 ± 0.03

abcg34

15.5 ± 0.7

(96)

0.64 ± 0.11

0.22 ± 0.07

abcg37

19.1 ± 1.4

(114)

0.80 ± 0.04

0.18 ± 0.04

Lignin contents are presented as the proportion (%) of the cell wall dry weight. Data in parentheses are presented relative to the wild-type values, which were set at 100%. The pyrolyzed products used for calculating the S/G and H/G ratios are listed in Online Resource 5. Lignin contents and components were analyzed using four and three independent biological replicates, respectively

Conclusion

Five transporter genes (ABCG29, ABCG30, ABCG33, ABCG34, and ABCG37) were selected as candidates, because they were synchronously expressed with the reference genes related to lignin synthesis. The encoded ABC transporters were selected as potential monolignol transporters for further analyses. The expression levels of candidate genes were analyzed in T-DNA insertion mutants. The ABCG30 expression was considerably higher in abcg34 plants than in wild-type plants. ABCG34 expression levels were twofold higher in abcg30 plants than in wild-type plants. Thus, the expression levels of ABCG30 and ABCG34 may influence each other. An analysis of single-knockout mutants revealed that there were no apparent differences in their lignin contents and monomer compositions, which suggested that individual transporters do not solely contribute to lignin synthesis.

Notes

Acknowledgements

This work was supported by the Japan Society for the Promotion of Science (JSPS) KAKENHI Scientific Research (B) [Grant number 26292097 (Y.T.)], JSPS KAKENHI Exploratory Research [Grant number 15K14774 (Y.T.)], and JSPS KAKENHI Scientific Research (B) [Grant number 17H03846 (Y.T.)]. We thank Edanz Group (http://www.edanzediting.com/ac) for editing a draft of this manuscript.

Supplementary material

10086_2018_1733_MOESM1_ESM.pdf (21 kb)
Online Resource 1 (PDF 20 KB)
10086_2018_1733_MOESM2_ESM.pdf (18 kb)
Online Resource 2 (PDF 17 KB)
10086_2018_1733_MOESM3_ESM.pdf (203 kb)
Online Resource 3 (PDF 203 KB)
10086_2018_1733_MOESM4_ESM.pdf (197 kb)
Online Resource 4 (PDF 197 KB)
10086_2018_1733_MOESM5_ESM.pdf (209 kb)
Online Resource 5 (PDF 208 KB)

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Copyright information

© The Japan Wood Research Society 2018

Authors and Affiliations

  • Manami Takeuchi
    • 1
  • Atsushi Watanabe
    • 2
  • Miho Tamura
    • 2
  • Yuji Tsutsumi
    • 2
  1. 1.Department of Agro-environmental Sciences, Graduate School of AgricultureKyushu UniversityFukuokaJapan
  2. 2.Faculty of AgricultureKyushu UniversityFukuokaJapan

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