Significance
Elevated leaf vein density is a key step in the evolution from C3 to C4 plants. We hypothesized that high vein density in C4 leaves is due to elevated auxin biosynthesis and transport in developing leaves. We found higher expression levels of genes promoting auxin biosynthesis and higher auxin content in developing C4 leaves than in developing C3 leaves. We also found higher auxin content and vein density in loss-of-function mutants of MYC2, an auxin biosynthesis suppressor. Moreover, treatment with an auxin biosynthesis or transport inhibitor reduced vein density in new leaves. Finally, mutations that reduce auxin efflux or influx reduce vein density. These observations support our hypothesis and provide a molecular basis for high vein density in C4 leaves.
Keywords: vein density, auxin biosynthesis, auxin transport, C4 plants
Abstract
High vein density, a distinctive trait of C4 leaves, is central to both C3-to-C4 evolution and conversion of C3 to C4-like crops. We tested the hypothesis that high vein density in C4 leaves is due to elevated auxin biosynthesis and transport in developing leaves. Up-regulation of genes in auxin biosynthesis pathways and higher auxin content were found in developing C4 leaves compared with developing C3 leaves. The same observation held for maize foliar (C4) and husk (C3) leaf primordia. Moreover, auxin content and vein density were increased in loss-of-function mutants of Arabidopsis MYC2, a suppressor of auxin biosynthesis. Treatment with an auxin biosynthesis inhibitor or an auxin transport inhibitor led to much fewer veins in new leaves. Finally, both Arabidopsis thaliana auxin efflux transporter pin1 and influx transporter lax2 mutants showed reduced vein numbers. Thus, development of high leaf vein density requires elevated auxin biosynthesis and transport.
Photosynthesis efficiency is higher in C4 than in C3 leaves mainly due to the presence of Kranz anatomy and high vein density, which are central to both C3–C4 evolution (1–5) and conversion of C3 to C4-like crops (6). High vein density may confer an adaptive advantage in arid or/and high light environments (5, 7, 8). The importance of auxin in leaf vein patterning is well documented (9–14). The auxin canalization model postulates that, in developing leaves, auxin is transported to precursor cells to initiate development of veins (9, 15). This model was supported by the observations that PIN-FORMED1 (PIN1) directs auxin to form local auxin maxima in procambial cells to initiate vein development (10, 13). Moreover, exogenous application of auxin led to dramatic expansion of PIN1 expression in the ground meristem, leading to formation of additional veins (9, 15). However, the molecular basis for high vein density in C4 leaves is not well understood.
We hypothesized that high vein density in C4 leaves is due to elevated auxin biosynthesis and transport. To test this hypothesis, we conducted the following studies. First, we compared transcriptomes of developing leaves of C3 Tarenaya hassleriana and C4 Gynandropsis gynandra in Cleomaceae to see whether genes promoting auxin biosynthesis tend to be up-regulated in G. gynandra, while the basic helix–loop–helix transcription factor MYC2, which is a suppressor of auxin biosynthesis, is down-regulated. For the same purpose, we compared the transcriptomes of maize foliar (Kranz, high vein density) and husk (non-Kranz, low vein density) leaf primordia. Second, we examined whether the auxin content is higher in G. gynandra developing leaves and in maize foliar leaf primordia. Third, we examined the vein density in two myc2 mutant lines of Arabidopsis thaliana to see whether they showed increased vein density, because, as mentioned above, MYC2 is a suppressor of auxin biosynthesis. Fourth, we treated G. gynandra developing leaves with an auxin biosynthesis inhibitor to see whether it reduces vein density. Fifth, we treated the developing leaves of both species with an auxin transport inhibitor to see its effect on vein density. Sixth, we studied the A. thaliana auxin efflux transporter pin1 mutant and auxin influx transporter lax2 mutant to see whether they both showed reduced vein numbers. The results of these studies all supported our hypothesis and have implications for the C4 rice project, which is to transform C3 rice to a C4 crop (16, 17).
Results
Up-Regulation of Genes in Auxin Biosynthesis Pathways in Developing C4 Leaves.
We obtained leaf transcriptomes of C3 Tarenaya hassleriana and C4 Gynandropsis gynandra, both in Cleomaceae (Materials and Methods). Because veins develop early during leaf development (18), we chose two early developmental stages, stage 1 (S1) (0.5–0.8 mm) and stage 2 (S2) (∼2 mm), of young fifth leaves that may better pinpoint key transcriptional events in vein density control than an earlier study using mature leaves (19). At both S1 and S2 stages, genes in the auxin biosynthesis pathways tend to have a higher transcript level in C4 G. gynandra than in C3 T. hassleriana (Fig. 1). In the tryptophan (Trp)-dependent auxin biosynthesis pathway, no significant expression differences between the two species was found for the six genes in the pathway before the biosynthesis of chorismate, a key precursor of auxin and several other essential metabolites (Fig. 1A). In contrast, more than one-half of the genes in the subpathway from chorismate to auxin showed higher expression levels in G. gynandra. Similarly, four out of the five genes in the Trp-independent auxin biosynthesis pathway showed a higher expression level in G. gynandra (Fig. 1B). Note that none of the genes involved in the biosynthesis of nonauxin metabolites from chorismate showed a significantly higher expression level in G. gynandra (Fig. 1A), indicating specific up-regulation of auxin biosynthesis genes in C4 G. gynandra. This finding is further supported by the 1.3-fold higher auxin content in young fifth leaves (∼3 mm) of G. gynandra compared with T. hassleriana (P < 0.001; Fig. 1C).
To assess whether this specific up-regulation of Trp-dependent auxin biosynthesis also occurs in other independently evolved C4 species, we examined transcriptome data of maize foliar (Kranz, high vein density) and husk (non-Kranz, low vein density) leaf primordia (20). Similar to our comparison between G. gynandra and T. hassleriana, more than one-half of the genes in the subpathway from chorismate to auxin biosynthesis were up-regulated in foliar leaf primordia (Fig. 1A). Moreover, we found higher auxin content in developing foliar leaf primordia than in developing husk leaf primordia (P < 0.02; Fig. 1D). Thus, the up-regulation of the Trp-dependent auxin biosynthesis pathway is likely a common feature among C4 plants.
Elevated Auxin Content and Vein Density in T-DNA Insertion myc2 Mutants.
MYC2, a basic helix–loop–helix family transcription factor, was significantly down-regulated in G. gynandra developing leaves (Fig. 1A). Importantly, MYC2 negatively regulates the biosynthesis of Trp, a key substrate for auxin biosynthesis (21). To assess MYC2’s role in auxin biosynthesis and vein density control, we compared the auxin content and vein density in two A. thaliana T-DNA insertion myc2 mutants, jin1-9 (SALK_017005) and jin1-10 (SALK_083483) (22), to those of the wild-type plants. The vein densities in the two myc2 mutants were comparable, but both were significantly higher than that in the wild-type plants (P < 0.0005), mainly due to the increases in the 4° (fourth order) and 5° veins (P < 0.0005) (Fig. 2A). In addition, the auxin contents in the developing leaves of jin1-10 and jin1-9 were 40% and 30% higher than that in the wild-type control, respectively (Fig. 2B), similar to the leaf auxin content ratio between G. gynandra and T. hassleriana (Fig. 1C). Thus, a modest increase in auxin content in developing leaves may significantly increase vein density.
Reduced Leaf Vein Density in Yucasin-Treated Plants.
To investigate whether the leaf vein density in a C4 plant could be reduced by a reduction in auxin content, G. gynandra plants were treated with yucasin [5-(4-chlorophenyl)-4H-1,2,4-triazole-3-thiol]. Yucasin is an inhibitor of the YUCCA (YUC) enzyme that catalyzes the final step of the Trp-dependent auxin biosynthesis pathway (Fig. 1A), and its application reduces the complexity of A. thaliana vascular systems (23). We found a yucasin concentration-dependent reduction in the vein density in newly developed leaves of yucasin-treated G. gynandra (Fig. 3A), mainly due to reduced numbers of higher-order veins (Fig. 3 B–E). Note that, after removal of the yucasin treatment, the newly developed leaves exhibited a vein density comparable to that of the control (Fig. 3A). In conclusion, despite the existence of two other subpathways from Trp to auxin (Fig. 1A), blocking the YUC subpathway alone is sufficient to reduce vein density.
Reduced Leaf Vein Density in 1-N-Naphthylphthalamic Acid-Treated Plants.
To see whether decreased auxin transport reduces vein density, we applied 1-N-naphthylphthalamic acid (NPA), an inhibitor of auxin efflux (24), to G. gynandra and T. hassleriana plants. Previous studies showed that A. thaliana treated with NPA during early leaf development displayed larger mid (1°) veins and an increased number of 2° veins (11, 12). This is because NPA reduces auxin transport, so that auxin accumulates in and near auxin sources, increasing both the size of mid veins and the formation of 2° veins (12, 15). Consistent with these studies in A. thaliana, NPA-treated G. gynandra and T. hassleriana showed larger 1° veins and more 2° veins than their controls (Fig. 4 A vs. B, E vs. F, and I and J). NPA-treated G. gynandra plants showed dramatically larger 1° and 2° veins than NPA-treated T. hassleriana plants (Fig. 4 B and D vs. F and H), likely due to the higher auxin content in developing leaves in C4 G. gynandra than in C3 T. hassleriana (Fig. 1C). Also, the NPA-dependent reduction in vein density was much stronger in C4 G. gynandra than in C3 T. hassleriana (Fig. 4 I–K). In conclusion, inhibition of auxin efflux leads to higher levels of local auxin accumulation and thus also more and thicker 2° veins but fewer higher-order veins because auxin is not efficiently transported to procambial cells that are distant from auxin sources.
Dosage Effect of Auxin Efflux Transporter PIN1 on Vein Density.
To pursue the above issue further, we considered the dosage effect of PIN1, a major auxin efflux carrier, on vein density. It is known that A. thaliana pin1 homozygous mutant showed thicker 1°, 2°, and 3° veins but fewer higher-order veins (14), similar to the effect of NPA treatment. We found that even heterozygous A. thaliana pin1 (SALK_047613) plants have fewer 4° and higher-order veins than the wild type (Fig. 2A), demonstrating the importance of PIN1 dosage. In addition, in C4 G. gynandra, there are two PIN1 genes and in developing leaves the total expression level of the two PIN1 genes is nearly twice that of the single PIN1 gene in C3 T. hassleriana (Table 1). In maize, three of the four PIN1 genes are expressed at a much higher level in foliar leaf primordia than in husk leaf primordia (Table 1). These observations indicate the need for elevated auxin efflux in developing C4 leaves.
Table 1.
Gene | A. thaliana locus | G. gynandra (Ggy) vs. T. hassleriana (Tha)* | Maize foliar leaf primordia (FP) vs. husk leaf primordial (HP)† | ||||||||
Ggy S1 | Tha S1 | Ggy S2 | Tha S2 | FP | HP | FP3/4 | HP3/4 | FP5 | HP5 | ||
Auxin efflux‡ | |||||||||||
PIN1a | AT1G73590 | 52.35 | 32.65 | 52.33 | 33.92 | 2,853.50 | 1,233.50 | 1,648.50 | 351.50 | 639.50 | 275.00 |
PIN1b | 32.51 | 33.46 | 1,867.00 | 723.00 | 1,760.00 | 281.00 | 1,034.50 | 526.50 | |||
PIN1c | 375.50 | 145.50 | 257.00 | 225.50 | 152.50 | 864.50 | |||||
PIN1d | 116.00 | 16.00 | 77.00 | 2.00 | 7.50 | 2.00 | |||||
Total | 84.86 | 32.65 | 85.79 | 33.92 | 5,212.00 | 2,118.00 | 3,742.50 | 860.00 | 1,834.00 | 1,668.00 | |
PIN2 | AT5G57090 | 11.11 | 0.01 | 3.03 | 0.02 | ||||||
PIN3a | AT1G70940 | 14.71 | 38.73 | 8.99 | 55.05 | 6.50 | 54.00 | 7.50 | 291.50 | 32.00 | 308.50 |
PIN3b | 0 | 0 | 0 | 0.50 | 0.50 | 0 | |||||
Total | 6.50 | 54.00 | 7.50 | 292.00 | 32.50 | 308.50 | |||||
PIN4a | AT2G01420 | 38.35 | 37.39 | 67.36 | 63.11 | ||||||
PIN4b | 9.91 | 8.17 | |||||||||
Total | 38.35 | 47.30 | 67.36 | 71.28 | |||||||
PIN5a | AT5G16530 | 1.48 | 2.81 | 0.99 | 2.90 | 0 | 0 | 0 | 0 | 0.50 | 0.50 |
PIN5b | 0 | 0 | 0 | 0 | 2.50 | 4.00 | |||||
PIN5c | 0 | 0 | 0 | 0 | 0 | 0 | |||||
Total | 0 | 0 | 0 | 0 | 3.00 | 4.50 | |||||
PIN6 | AT1G77110 | 87.52 | 63.54 | 60.70 | 55.10 | ||||||
PIN8 | AT5G15100 | 2.02 | 0.37 | 1.02 | 0.24 | 114.50 | 86.00 | 30.00 | 17.00 | 17.00 | 6.50 |
Auxin influx§ | |||||||||||
AUX1a | AT2G38120 | 43.92 | 28.87 | 33.97 | 24.00 | 722.50 | 1,749.00 | 172.50 | 3,771.00 | 1,749.00 | 3,851.50 |
AUX1b | 43.04 | 15.65 | 42.58 | 21.67 | 99.50 | 19.50 | 35.50 | 8.50 | 19.50 | 8.00 | |
AUX1c | 4.58 | 4.94 | 3.34 | 6.15 | |||||||
AUX1d | 1.59 | 1.92 | |||||||||
Total | 91.54 | 51.05 | 79.89 | 53.74 | 822.00 | 1,768.50 | 208.00 | 3,779.50 | 1,768.50 | 3,859.50 | |
LAX1a | AT5G01240 | 21.95 | 28.94 | 37.03 | 29.74 | ||||||
LAX1b | 3.68 | 21.03 | 2.13 | 32.60 | |||||||
Total | 25.63 | 49.97 | 39.16 | 62.34 | |||||||
LAX2a | AT2G21050 | 170.41 | 63.48 | 186.75 | 114.22 | 5,483.00 | 1,764.00 | 4,751.50 | 632.00 | 1,764.00 | 448.50 |
LAX2b | 297.00 | 107.50 | 1,085.00 | 257.50 | 107.50 | 503.00 | |||||
Total | 5,780.00 | 1,871.50 | 5,836.50 | 889.50 | 1,871.50 | 951.50 | |||||
LAX3 | AT1G77690 | 14.37 | 15.88 | 8.01 | 14.85 | 3.50 | 8.50 | 16.50 | 8.00 | 8.50 | 86.00 |
Two developmental stages, S1 (0.5–0.8 mm) and S2 (∼2 mm), of young fifth leaves were examined.
FP and HP: the midvein initiated; FP3/4 and HP3/4: midvein laterals initiated; and FP5 and HP5: midvein laterals and intermediates initiated. Data are from ref. 20.
PIN1, PIN-FORMED 1.
AUX1, AUXIN RESISTANT 1; and LAX, LIKE AUXIN RESISTANT.
Importance of Auxin Influx in Vein Density Control.
A. thaliana LAX2 encodes an auxin influx transporter. We found that LAX2 was expressed at a higher level in C4 G. gynandra than in C3 T. hassleriana (Table 1). In maize, there are two LAX2 genes and both tend to be expressed at a much higher level in foliar leaf primordia (high vein density) than in husk leaf primordia (low vein density) (Table 1). To further assess the role of LAX2 in vein density control, we examined A. thaliana lax2 mutant (SAIL_178_C02) and found that the mutant had fewer 4° and higher-order veins than the wild type (Fig. 2A). The reduction was not dramatic, likely because there are other auxin influx genes in A. thaliana (Table 1). Nonetheless, the effect is significant, indicating that decreased auxin influx can also reduce the number of higher-order veins.
Discussion
The above observations provide a molecular basis for high vein density in C4 leaves. C4 leaves have higher vein density than in C3 leaves because developing C4 leaves have higher auxin content, owing to elevated expressions of genes promoting auxin biosynthesis and reduced expressions of negative regulators such as MYC2 (Fig. 1). The observations that exogenous application of auxin led to formation of additional leaf veins (9, 15) and that the two myc2 mutants of A. thaliana studied showed both elevated auxin content in developing leaves and higher leaf vein densities suggest that increasing auxin biosynthesis alone is sufficient to increase vein density. However, the increase would be limited if auxin transport is not coordinately enhanced in C4 leaves relative to C3 leaves. This reasoning is based on four observations. First, in developing leaves, the total expression level of the two PIN1 auxin efflux carrier genes in C4 G. gynandra (high vein density) was twice that of the single PIN1 gene in C3 T. hassleriana (low vein density), and the difference in the total PIN1 gene expression was even more conspicuous between maize foliar (high vein density) and husk (low vein density) leaf primordia (Table 1). Second, a similar conclusion applies to the auxin influx carrier LAX2 expression levels (Table 1). Third, both A. thaliana pin1 and lax2 null mutants have reduced leaf vein density, suggesting the importance of not only auxin efflux (PIN1) but also influx (LAX2) in the formation of higher-order vein. Fourth, new leaves in NPA-treated G. gynandra showed a vein density even lower than that in the wild-type T. hassleriana (Fig. 4K), despite the fact that G. gynandra has a higher auxin content in developing leaves than T. hassleriana (Fig. 1C). This observation suggests that, without a sufficiently high level of auxin transport, few higher-order veins can develop in a leaf, even if its auxin content is high. As the brassinosteroid (BR) signaling pathway interacts with the auxin signaling pathway (25), mutations in the BR biosynthesis pathway in A. thaliana and sorghum have been found to reduce the leaf vein density (26, 27). However, as we have little functional data from monocots, whether our hypothesis holds for monocots remains to be tested.
Although the full picture is yet to emerge, this work advances our understanding of the molecular events leading to the high vein density in C4 leaves and paves the way to unravel the genetic control of C4 leaf development in the future. There has been much interest in engineering C3 rice to express C4 traits to increase its photosynthetic efficiency and productivity (16, 17). A critical step in the C4 rice project would be to increase its leaf vein density. This study suggests that an elevated vein density can be achieved by genetically engineering the rice genome to increase auxin biosynthesis and transport in developing leaves.
Materials and Methods
Plant Material and RNA Isolation.
Seeds of G. gynandra were collected from southern Taiwan and seeds of T. hassleriana and maize were purchased from Known-You Seed Company (Taiwan). G. gynandra and T. hassleriana were grown in growth chambers under the light–dark cycle: 12-h light (200–250 μmol⋅m−2⋅s−1) at 27 °C and 12-h darkness at 25 °C. Maize was cultivated in the greenhouse in February to April 2017.
For isolation of total RNA, the fifth leaves of G. gynandra and T. hassleriana that were ∼0.5–0.8 mm long (S1) and ∼2 mm long (S2) were individually harvested 2 h after dawn and immediately frozen in liquid nitrogen. Total RNA was isolated by TRIzol reagent (Invitrogen) according to the manufacturer’s instructions, using a 1:2 ratio of sample:TRIzol reagent. RNA samples were treated with DNase I at 37 °C for 30 min to eliminate contaminating genomic DNA.
The jin1-9 (SALK_017005), jin1-10 (SALK_083483), pin1 (SALK_047613), and lax2 (SAIL_178_C02) mutants were from The Arabidopsis Biological Resources Center (ABRC). Plants of A. thaliana wild-type Columbia-0 (Col-0) and myc2 mutants (i.e., jin1-10 and jin1-9) were grown in growth chambers at 23°C with a light–dark cycle: 12-h light (200–250 μmol⋅m−2⋅s−1) and 12-h darkness.
cDNA Library Preparation and Sequencing.
RNA samples of G. gynandra and T. hassleriana fifth leaves at stage S1 and stage S2 were prepared separately. The cDNA libraries were then constructed and sequenced by the High-Throughput Genomics Core at Biodiversity Research Center, Academia Sinica, using Illumina HiSeq 2500 with the 150-bp paired-end format. The library construction protocol was optimized for milder RNA fragmentation for longer insert library to facilitate transcriptome assembly. The raw reads were processed as in Liu et al. (18). The numbers of raw reads and processed reads for each RNA sample are given in Dataset S1.
Assembly of Reads and Construction of ORF Databases.
For each RNA sample, the processed paired-end reads were merged to generate longer reads by FLASH (28). The merged and unmerged paired-end reads of the S1 and S2 samples in each species were assembled de novo, using the CLC Genomics Workbench with default options, which was found to produce better assemblies than other programs (29).
The above de novo assembled contigs were improved with the following three steps. First, we collected the cDNA sequences of A. thaliana (TAIR10), the previously assembled ORFs in T. hassleriana (19), and also our newly assembled contigs in T. hassleriana. Second, the unmerged and merged reads by FLASH in the S1 and S2 samples of T. hassleriana were used to search against all of the sequences collected in the first step using BLAT (30) with default options. The aligned reads were then assembled again using the CLC Genomics Workbench with the default parameters. Because the previously assembled sequences in T. hassleriana (19) only contained the coding sequences, we transformed each assembled sequence into an ORF. Third, we retained a newly assembled ORF sequence if it was (i) the best (lowest E value) of the BLAST (E value < 10−10) hits to one of the previously assembled T. hassleriana ORFs (19) and it has a longer assembly length than the previously assembled ORF; or (ii) the best hit with the alignment of <70% amino acid sequence identity or no significant hit (threshold E value = 10−5) to the previously assembled ORFs. The ORFs in (i) were considered improved ORFs by length extension and were used to replace the corresponding ORFs of ref. 19 to obtain an improved ORF database. The ORFs in (ii) were considered newly assembled ORFs and were added to the improved ORF database. Finally, we removed the ORFs <200 bp and also the (redundant) ORFs that have 100% sequence identity to other ORFs and have shorter lengths to obtain the final ORF database for T. hassleriana.
To assemble the ORFs of G. gynandra, we collected the reads that could be aligned with ORFs in the new ORF database for T. hassleriana. The remaining steps were the same as in the reassembly of ORFs in T. hassleriana. For the unaligned reads, we used them to assemble additional ORFs and integrated them into the G. gynandra ORF database using the criteria in the third step above. The redundant ORFs and ORFs <200 bp were discarded as above. In the end, we identified 35,934 ORFs and 30,076 ORFs for G. gynandra and T. hassleriana, respectively.
Estimating Gene Expression Levels.
To quantify the expression levels of the assembled ORFs at a given developmental stage (S1 or S2) in a species, the Illumina reads after quality trimming with Q30 for that developmental stage were mapped to the corresponding ORF database for that species. The single-end read data were then mapped to the ORFs using Bowtie2 (31) with default settings. Finally, we used the eXpress software (32) to resolve the multiple-mapped reads and calculate the reads per kilobase per million mapped reads (RPKM) to represent the expression levels of the ORFs (Dataset S2).
A gene is defined as expressed in a species if its RPKM is >1 in at least one of the two stages. For T. hassleriana, 24,650 ORFs were expressed. For G. gynandra, there were 20,455 expressed ORFs with >50% coverage of one ORF in the T. hassleriana ORF database and 24,807 expressed ORFs with >25% coverage, indicating a substantial portion of the assembled ORFs in G. gynandra were partial due to the challenge of de novo transcriptome assembly without a reference genome.
To have meaningful comparisons of gene expression levels between two species, the RPKM values were normalized using the upper quartile normalization procedure. First, we collected G. gynandra ORFs with >50% coverage of one ORF in the T. hassleriana ORF database; this criterion was to avoid mistaking different G. gynandra ORF fragments homologous to the same T. hassleriana locus as multiple ORFs. Next, we selected the orthologous ORFs between the collected G. gynandra ORFs and the T. hassleriana ORF database. If there were multiple paralogous ORFs in a species, we took the sum of their RPKM values. We then compared the RPKM values for the two transcriptomes at the upper quantile and found that the value in T. hasslerianna was 1.0052 and 0.9898 times that in G. gynandra at the S1 stage and at the S2 stage, respectively. As both normalization factors were very close to 1, we actually did not do the normalization.
The published Z. mays foliar (FP) and husk leaf (HP) primordia transcriptome datasets (20) were downloaded for comparing the gene expression levels in foliar and husk leaf primordia.
Identification of Auxin Biosynthesis and Transport Genes in T. hassleriana, G. gynandra, and Maize.
The protein sequences of A. thaliana auxin biosynthesis and transport genes (33–36) were used to search the orthologous genes in T. hassleriana and G. gynandra with a BLAST threshold E value <10−10. For maize (Zea mays) genes, their orthologous relationships to A. thaliana genes were as defined in Ensembl Plants (release 31; plants.ensembl.org/index.html) with an additional requirement that the putative orthologous pairs had >30% amino acid sequence identity.
Measuring Endogenous Auxin Content by MS.
To quantify the auxin content of developing leaves, plants were grown in growth chambers under the light–dark cycle of 12-h light (200–250 μmol⋅m−2⋅s−1) at 27°C and 12-h darkness at 25 °C. At least 10 fifth leaves of G. gynandra and T. hassleriana and 10 seventh leaves of A. thaliana Col-0 and myc2 mutants (∼3 mm in length) were harvested and immediately frozen in liquid nitrogen. The maize leaf foliar and husk primordia, FP3/4 and HP3/4 (∼2 mm in length), were harvested from 3- to 4-wk-old plants and immediately frozen in liquid nitrogen. All measurements were performed in three biological replicates.
Frozen samples were homogenized using MagNA Lyser Green Beads, MagNA Lyser Instrument (Roche Diagnostics), and extracted in 300 μL of 50 mM sodium phosphate buffer (pH 7.0) containing 10 ng of indole-2,4,5,6,7-d5-3-acetic acid (d5-IAA) (Sigma-Aldrich) as the internal standards. The samples were incubated at 4 °C with continuous shaking for 1 h, and then centrifuged for 5 min at 13,000 × g at 4 °C. The pH was adjusted to 2.7 with 1 M hydrochloric acid. The supernatant was loaded into 10-mg Oasis HLB cartridge (Waters) followed by washing with 1 mL of 20% methanol containing 0.1% acetic acid and eluted with 1 mL of 80% methanol containing 0.1% acetic acid. The eluates were vacuum-dried and dissolved in 60 μL of Milli-Q water. Eluates were analyzed for auxin content using a Waters ACQUITY UPLC/XevoTQ-S tandem quadrupole mass spectrometer (Waters). Characteristic MS transitions were monitored using multiple reaction monitoring for endogenous auxin (m/z, 176 > 130), and d5-IAA (181 > 135) (37). For the LC analysis, we followed the Novak’s procedures (38).
Chemical Treatment and Analyses of Vein Density.
To study the effect of auxin content on G. gynandra leaf vein patterning, 50 or 75 μM yucasin or 20 μM NPA in half-strength Kimura B nutrient solution (39) was used for treating the plants before they developed the third leaf. The control plants were treated with 0.75% DMSO, which was used to dissolve yucasin and NPA. The solution was refreshed every 2 d. After 2 wk of yucasin or 1 wk of NPA treatment, plants were transferred to Kimura B solution for 10 d for the fifth leaf to be fully developed for vein density measurement. NPA treatment in T. hassleriana was conducted as in the NPA treatment of G. gynandra.
All measurements of vein densities of the leaves were made by phenoVein (40) from images of chloral hydrate-cleared leaves (41). Images were taken in a Nikon Eclipse 90i microscope using dark-field by Photometric CoolSNAP HQ2 CCD.
Measurement of Vein Densities in A. thaliana Mutants.
A. thaliana Col-0, myc2 homozygotes, pin1 heterozygotes, and lax2 homozygotes were grown in growth chambers at 23°C with a light–dark cycle of 12-h light (200–250 μmol⋅m−2⋅s−1) and 12-h darkness. At 30 d after germination, the seventh mature leaves (42) were collected and used for measuring their vein densities in the central portion of the leaf.
Cross-Sections of Developing Leaves.
Developing leaves (0.8 or 2 mm long) of G. gynandra and T. hassleriana were fixed by 2.5% glutaraldehyde in 0.1 M sodium cacodylate buffer, pH 7.2, and then dehydrated in graded series of ethanol (50%, 70%, 80%, 90%, 95%, and 100%). After dehydration, the leaf samples were embedded in Spurr’s epoxy resin (43), cut into 900-nm sections in a Leica EM UC6 ultramicrotome, mounted on slides, and stained with toluidine blue. Photomicrographs were taken using the Aperio Digital Pathology System.
Supplementary Material
Acknowledgments
We thank John Wang and Jane Langdale for comments. We thank the RNA-sequencing work by the High-Throughput Genomics Core, Biodiversity Research Center, Academia Sinica, and the technical support of Dr. Chih-Yu Lin and Ms. Ting-Hsiang Chang, UPLC-MS/MS and Metabolomics Core Facility, Agricultural Biotechnology Research Center, Academia Sinica. This study was supported by Academia Sinca Thematic project (AS-106-TP-B14) and by the Innovative Translational Agricultural Research Program.
Footnotes
The authors declare no conflict of interest.
Data deposition: Sequences have been deposited in the Sequence Read Archive, www.ncbi.nlm.nih.gov/sra (accession nos. SRR5405059, SRR5407658, SRR5407836, and SRR5407839) and the Transcriptome Shotgun Assemblies, www.ncbi.nlm.nih.gov/Traces/wgs/?view=TSA (accession nos. GFMQ00000000 and GFML00000000).
This article contains supporting information online at www.pnas.org/lookup/suppl/doi:10.1073/pnas.1709171114/-/DCSupplemental.
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