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Supplemental data
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Description
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Generation of Bntt16 RNAi plants
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In order to study the regulatory function of BnTT16 proteins in endothelial development, RNAi
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Brassica napus plants were generated previously using a hairpin (HP) RNAi construct (Deng et
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al. 2012; Figure S4, S5). Since all four BnTT16 homologs exhibit a high level of similarity and
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the corresponding proteins displayed a high degree of functional overlap in their ability to
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recover the phenotype of an Attt16 mutant (Figure 5, S3), silencing of one particular homolog in
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B. napus may not have yield a detectable phenotype. For this reason, the RNAi construct was
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designed to silence all four BnTT16 homologs simultaneously (Figure S4a)(Deng et al. 2012).
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Briefly, a 146-bp BnTT16 cDNA fragment encoding a portion of the variable K domain was
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amplified from a B. napus cDNA library and cloned into the pENTR/D-TOPO vector
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(Invitrogen, Burlington, ON). The pENTR/D-TOPO vector provides flanking attB1 and attB2
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sequences enabling directional cloning into the pHellsgate 12 vector. The Gateway LR
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recombination reaction was performed according to manufacturer’s instructions (Invitrogen) and
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the resulting vectors were verified by restriction analysis. Positive clones contained two identical
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BnTT16 fragments in opposite orientations, separated by a combination of Pdk and Cat introns
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(Figure S4a). The pHellsgate-BnTT16-146 cassette was then electroporated into Agrobacterium
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tumefaciens GV3101 (pMP90) cells and used in the genetic transformation of B. napus line
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DH12075 as described previously (Bondaruk et al. 2007).
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The RNAi method (HP) used in this study has been proven to be a reliable technique to
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decrease the level of target protein in agricultural plants (Liu et al. 2002, Stoutjesdijk et al. 2002,
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Mietkiewska et al. 2008, Chen et al. 2011). In Arabidopsis, only Attt16 knock-out mutants with
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an absence of TT16 protein, but not AtTT16 overexpression lines, showed abnormal endothelial
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development and decreased PA content (Nesi et al. 2002). We also over-expressed BnTT16 in
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wild-type Arabidopsis, and the seed color was reverted to that of wild-type. Therefore, the
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decreased PA content and abnormal endothelial development in the B. napus RNAi plants, as
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well as the normal seed coat morphology in the transgenic Arabidopsis lines carrying the
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35S::BnTT16 construct in the Attt16 background indicated that BnTT16 protein levels were
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decreased in the RNAi plants as expected.
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As shown in 4 representative independent transgenic lines, BnTT16 expression was
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diminished by approximately 47% to 72% compared to that in the wild-type plants (Figure S4b).
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Expression levels of each individual BnTT16 gene were also assayed in these transgenic lines,
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and it was found that all four genes were down-regulated in every case (Figure S5). To confirm
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that the RNAi silencing was specific to BnTT16 homologs, we analyzed our RNAi construct with
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a publicly available Web-based computational tool (siRNA Scan) and did not find any potential
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off-target-silenced genes (Xu et al. 2006). In addition, the expression level of B. napus
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AGAMOUS-LIKE 6 (BnAGL6), a gene sharing the highest cDNA sequence similarity to the
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BnTT16 homologs based on the B. napus genome database (http://compbio.dfci.harvard.edu/cgi-
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bin/tgi/gimain.pl?gudb=oilseed_rape) was tested by qRT-PCR. The transcriptional levels of the
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BnAGL6 gene exhibited no difference between wild-type and Bntt16 RNAi lines in either 2-DAP
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or 15-DAP samples (Figure S4 c).
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Microarray analysis and data processing
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In order to broadly identify genes regulated by the BnTT16 proteins, microarray data obtained
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previously (Deng et al. 2012) was analyzed to compare gene expression levels in 2-DAP siliques
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of Bntt16 RNAi and wild-type plants. In brief, microarray analysis was performed using an
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Agilent 4x44k Brassica Gene Expression Microarray chip. Total RNA was isolated from 2-DAP
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samples using the RNeasy Plant Mini Kit and was Cy3-labeled with the Quick Amp Labeling Kit
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(Agilent Technologies). Hybridized arrays were scanned with a GenePix 4000B scanner
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(Molecular Device, Sunnyvale, CA) at 5 µm resolution. Image processing was performed using
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the Feature Extraction Software 10.5.1.1 (Agilent Technologies).
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Microarray data were analyzed using the open-source R statistical programming language
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(http://www.r-project.org/) and Bioconductor packages (Gentleman et al. 2004). The raw data
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were imported into the R statistical environment, and their overall high quality was determined
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using the arrayQualityMetrics package (Kauffmann et al. 2009). Data were normalized using
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Variance Stabilization Normalization. Differential gene expression analysis was subsequently
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performed using an empirical Bayes method implemented in Linear Models for Microarray
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Analysis (Smyth 2004). A gene was considered differentially expressed in the Bntt16 RNAi line
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compared with wild-type if its B statistic (log odds of differential expression) was ≥ 2.0,
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corresponding to a ≥80% probability of differential expression. For homologous genes, each
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specific copy was defined by its sequence in the genome database on the microarray chip (for
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example, TC number from assembly (TC, Tentative Consensus sequence from assembly of
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ESTs)), and a unique probe was designed to measure the expression level of that particular copy
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(homolog). The functional annotations of differentially expressed genes (DEGs) in Brassica were
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updated by running BLAST analyses (E value ≤ 10-5) against TAIR 10, the latest Arabidopsis
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genome release at The Arabidopsis Information Resource (http://www.arabidopsis.org). PA- and
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seed coat-associated genes reported in other plants were also used to assist gene identification.
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The gene ontology (GO) annotation of Arabidopsis genes was used for GO analysis of the DEGs.
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As expected, global similarity analysis indicated that the four wild-type samples clustered
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together whereas the four Bntt16 RNAi samples formed a separate group, demonstrating the
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reliability of our microarray experiment (Figure S8). Subsequently, the expression of eighteen
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genes related to seed coat development and flavonoid biosynthesis was measured by qRT-PCR.
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In all cases, the transcript enrichment patterns of qRT-PCR analysis were consistent with
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microarray data (Figure S9). The consistency between qRT-PCR and microarray data was also
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obtained in another set of genes in the same experiment (Deng, et al. 2012). The microarray data
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have been submitted to the NCBI’s Gene Expression Omnibus and are accessible through GEO
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Series accession number GSE37449.
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The microarray results indicated that 1032 genes were up-regulated and 691 genes were
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down-regulated in the Bntt16 RNAi samples compared to WT samples (Table S2, p<0.01),
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which were subsequently summarized by gene ontology (GO) analysis. Genes with roles in
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biological processes, protein metabolism, transport, secondary metabolism, stress and defense
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processes, development, nucleotide metabolism, cell organization and biogenesis, and
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transcription were significantly affected by Bntt16 down-regulation (Figure S10a). In terms of
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molecular function, a number of these genes encoded proteins with binding properties (including
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DNA binding and protein binding), as well as enzymes including hydrolase, transferase, and
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kinase (Figure S10b). In terms of cellular localization, the majority of genes affected by Bntt16
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down-regulation encoded proteins that were localized within the plastid, followed by those
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localized to the nucleus and plasma membrane (Figure S10c). To a lesser degree, Bntt16 down-
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regulation also affected genes encoding proteins localized within the cell wall, ER, and
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mitochondria (Figure S10c). In summary, the BnTT16 proteins regulate the expression of genes
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involved in a variety of molecular functions and biological processes. As is the case for many
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genome-scale surveys, a large portion of the identified genes have functions that are unknown as
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of yet (Table S2) and therefore this data may result in the identification of novel genes regulated
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by BnTT16s.
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Legends
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Figure S1. Comparison of Brassica TT16 genomic sequences. Exons and introns were labelled
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with black and white backgrounds respectively. Bn, B. napus; AA, B. rapa; CC, B. oleracea. The
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TT16 genomic DNA sequences cloned in this study were submitted to GenBank as follows:
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BnTT16.1, JF970611; BnTT16.2, JF970612; BnTT16.3, JF970613; BnTT16.4, JF970614;
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BoTT16.1, JF970615; BoTT16.2, JF970616; BoTT16.3, JF970617; BoTT16.4, JF970618;
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BrTT16.1, JF970619; BrTT16.3, JF970620; BrTT16.4, JF970621.
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Figure S2. Schematic diagram of BnTT16 overexpression constructs used to complement the
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Arabidopsis tt16-6 mutant phenotype.
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Figure S3. Localization of proanthocyanidins using p-dimethylaminocinnamaldehyde staining in
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developing seeds of complemented Arabidopsis lines. (a) wild-type Arabidopsis Ws-3 as a
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positive control; (b) Arabidopsis transparent testa 16-6 (Attt16-6) mutant as a negative control;
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(c) representative complemented line expressing Brassica napus BnTT16.1 (Attt16-
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6/35S::BnTT16.1); (d) representative complemented line expressing BnTT16.2 (Attt16-
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6/35S::BnTT16.2); (e) representative complemented line expressing BnTT16.3 (Attt16-
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6/35S::BnTT16.3); (f) representative complemented line expressing BnTT16.4 (Attt16-
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6/35S::BnTT16.4). Scale bar = 100 µm. The arrows indicate the endothelium containing PA.
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Figure S4. RNAi-mediated silencing of BnTT16 expression. (a) Schematic diagram of the
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construct utilized for RNAi silencing of BnTT16 homologs in B. napus. (b) The overall level of
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expression of BnTT16 genes in open flowers (0-DAP) was down-regulated in Bntt16 RNAi lines.
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(c) The expression level of B. napus AGAMOUS-LIKE 6 (BnAGL6) exhibited no significant
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difference between wild-type (WT) and Bntt16 RNAi lines (RNAi) (p < 0.05). The data in (b)
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and (c) were presented as the relative expression levels (2-ΔCT) of target genes compared with
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reference genes (Table S1). 4-1, 10-3, 12-4, and 23-4 are 4 representative Bntt16 RNAi lines.
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Figure S5. Transcriptional expression (2-ΔCT) of each individual BnTT16 gene in open flowers (0
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day after pollination) was down-regulated in RNAi plants. (a) BnTT16.1; (b) BnTT16.2; (c)
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BnTT16.3; (d) BnTT16.4. 4-1, 10-3, 12-4, and 23-4 are 4 representative Bntt16 RNAi lines. The
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data were presented as the relative expression levels of each BnTT16 gene compared with
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reference genes listed in Table S1.
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Figure S6. Vanillin staining of whole developing seeds (14 day after pollination) indicated that
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proanthocyanidin content was less in Bntt16 RNAi plants than wild-type plants. (a) Wild-type
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whole seeds; (b) halved wild-type seeds; (c) whole seeds from RNAi plants; (d) halved seeds
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from RNAi plants. Bars = 1 mm.
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Figure S7. Localization of proanthocyanidins with vanillin in developing seeds of B. napus
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wild-type (WT) and RNAi lines. Arrows indicate PAs that have accumulated in the endothelium.
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(a) WT 15-DAP; (b) RNAi 15-DAP; (c) WT 20-DAP; (d) RNAi 20-DAP; (e) WT 24-DAP; (f)
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RNAi 24-DAP; (g) WT 31-DAP; (h) RNAi 31-DAP. RNAi, Bntt16 RNAi plants; DAP, days
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after pollination. Scale bar = 100 µm.
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Figure S8. Global similarity of the eight microarray samples for wild-type B. napus and RNAi
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plants.
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Sample clustering was used to assess the overall similarity of the eight samples. The four
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replicates of wild-type plants (sample 1-4) clustered with one another, while the four replicates
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of RNAi plants formed a separate group (sample 5-8).
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Figure S9. Validation of microarray data (fold-difference) using qRT-PCR. (a) Candidate genes
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involved in flavonoid biosynthesis and regulation. (b) Candidate genes involved in seed coat
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development. Data include the mean relative transcript levels ± standard error of four biological
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replicates and four technical replicates.
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Figure S10. Effects of Bntt16 silencing on the gene expression profile of B. napus (n=4). (a)
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Biological process. (b) Molecular function. (c) Cellular component. GO, gene ontology.
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Unknown and ambiguous genetic programming categories were not included.
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Figure S11. Vanillin staining of representative dissected developing seeds. Samples were
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harvested at 15 day after pollination (15-DAP, cotyledon stage) from wild-type B. napus plants.
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(a) embryo; (b) endosperm; (c) inner integument; (d) epidermis. Bar = 1 mm. Briefly, we
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dissected 15-DAP developing seed coats into three contiguous components: inner fraction
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composed primarily of developing endosperm, middle fraction containing inner integument and
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palisade cells, and outer fraction composed of epidermal and sub-epidermal cells (Jiang and
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Deyholos 2010). To detect which fraction contained the endothelium, we stained these three
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fractions and embryos with vanillin. The middle fraction highly stained to red, and the inner
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fraction was only slightly stained. Since almost all PA accumulated in the endothelium at 15-
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DAP (Figure 7), we confirmed that the middle fraction contained virtually all the endothelium.
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For convenience, we named the four sub-tissue fractions as embryo, endosperm, inner
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integument and epidermis in this study.
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Table S1. Primers utilized in this study.
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Table S2. Microarray data.
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