Skip to main content
PMC home page
Wiley Open Access Collection logoLink to Wiley Open Access Collection
. 2018 Jul 13;17(1):220–232. doi: 10.1111/pbi.12959

Up‐regulation of lipid biosynthesis increases the oil content in leaves of Sorghum bicolor

Thomas Vanhercke 1,†,✉, Srinivas Belide 1,†, Matthew C Taylor 2, Anna El Tahchy 1, Shoko Okada 2, Vivien Rolland 1, Qing Liu 1, Madeline Mitchell 1, Pushkar Shrestha 1, Ingrid Venables 1, Lina Ma 1, Cheryl Blundell 1, Anu Mathew 1, Lisa Ziolkowski 1, Nathalie Niesner 1, Dawar Hussain 1, Bei Dong 1, Guoquan Liu 3, Ian D Godwin 3, Jiwon Lee 4, Melanie Rug 4, Xue‐Rong Zhou 1, Surinder P Singh 1, James R Petrie 1
PMCID: PMC6330533  PMID: 29873878

Summary

Synthesis and accumulation of the storage lipid triacylglycerol in vegetative plant tissues has emerged as a promising strategy to meet the world's future need for vegetable oil. Sorghum (Sorghum bicolor) is a particularly attractive target crop given its high biomass, drought resistance and C4 photosynthesis. While oilseed‐like triacylglycerol levels have been engineered in the C3 model plant tobacco, progress in C4 monocot crops has been lagging behind. In this study, we report the accumulation of triacylglycerol in sorghum leaf tissues to levels between 3 and 8.4% on a dry weight basis depending on leaf and plant developmental stage. This was achieved by the combined overexpression of genes encoding the Zea mays WRI1 transcription factor, Umbelopsis ramanniana UrDGAT2a acyltransferase and Sesamum indicum Oleosin‐L oil body protein. Increased oil content was visible as lipid droplets, primarily in the leaf mesophyll cells. A comparison between a constitutive and mesophyll‐specific promoter driving WRI1 expression revealed distinct changes in the overall leaf lipidome as well as transitory starch and soluble sugar levels. Metabolome profiling uncovered changes in the abundance of various amino acids and dicarboxylic acids. The results presented here are a first step forward towards the development of sorghum as a dedicated biomass oil crop and provide a basis for further combinatorial metabolic engineering.

Keywords: triacylglycerol, Sorghum bicolor, leaf, WRI1, DGAT, Oleosin

Introduction

Plant‐derived oils are one of the fastest growing agricultural commodities (OECD/FAO, 2017). World production of plant oils currently amounts to nearly 190 Mt with the vast majority (86%) being used for food and feed applications. The remaining 14% (26.8 Mt) serves as feedstocks for the production of biofuels and oleochemicals in an attempt to reduce our reliance on dwindling crude oil supplies. By 2026, global plant oil demand for food use is expected to increase up to 219.8 Mt which equates to a 16% increase (OECD/FAO, 2017). In the past, plant oil production has increased steadily by dedicating more agricultural acreage to oil crops. However, limitations on available arable land and growing deforestation concerns pose a challenge when trying to match future demand using current established oil crops. This has triggered a search for alternative plant oil production systems that could potentially achieve yields similar to or even higher than current oil crops.

More than 60% of the current plant oil production is sourced from triacylglycerol (TAG)‐rich seeds (OECD/FAO, 2017). The metabolic pathways leading from sugars to TAG are complex and tightly intertwined with membrane biogenesis (Li‐Beisson et al., 2013). Over the past decades, the majority of enzymatic steps involved in the synthesis of fatty acids, membrane and storage lipids have been characterized in the oilseed model Arabidopsis thaliana, while knowledge of the underlying regulatory control mechanisms and lipid fluxes is broadening (Bates, 2016; Manan et al., 2017; Troncoso‐Ponce et al., 2016). Lipid metabolism in most vegetative tissues is predominantly directed towards phospholipid biosynthesis required to maintain the function of chloroplast membrane systems that are critical for efficient photosynthesis. Unlike oilseeds, leaves accumulate low levels of storage lipids such as TAG which typically accounts for less than 1% of the total leaf lipids (Yang and Ohlrogge, 2009). Studies in A. thaliana leaves suggest that TAG fulfils a role as a transient metabolic pool for excess lipotoxic free fatty acids that can occur as a result of membrane turnover in response to various stress factors and tissue ageing (Fan et al., 2013a, 2014, 2017).

Because nonseed tissues harbour a functional TAG biosynthesis pathway and represent the majority of the above‐ground plant biomass, engineering increased levels of TAG in vegetative organs has attracted increasing attention as a novel plant oil production system (Ohlrogge and Chapman, 2011). A growing number of transgenic metabolic engineering studies have demonstrated the feasibility of increasing the oil content in various nonseed tissues (Weselake, 2016; Xu and Shanklin, 2016). Amongst these reports, multigene strategies are now clearly leading the way, culminating in the engineering of oilseed‐like TAG levels in leaves of tobacco (Vanhercke et al., 2017). This was achieved by the simultaneous overexpression of WRINKLED1 (WRI1), a positive regulator of fatty acid synthesis (‘Push’), acyl CoA:diacylglycerol acyltransferase 1 (DGAT1) which catalyses the final TAG assembly step (‘Pull’), and Oleosin‐L oil droplet protein (‘Package’) while reducing lipid turnover by overexpression of the LEAFY COTYLEDON2 (LEC2) embryogenic transcription factor or silencing of the SUGAR DEPENDENT1 (SDP1) lipase (‘Protect’). Contrary to the results in A. thaliana and tobacco, achievements in other species thus far remain limited to small increases in TAG or total lipids contents. Examples include ryegrass (Beechey‐Gradwell, 2016; Winichayakul et al., 2008), corn (Alameldin et al., 2017), potato (Hofvander et al., 2016; Klaus et al., 2004; Liu et al., 2017), Jatropha curcas (Maravi et al., 2016) and rice (Singh et al., 2016).

High biomass C4 crop species such as sorghum (Sorghum bicolor), sugarcane (Saccharum spp.), Miscanthus giganteus and switchgrass (Panicum virgatum) provide particularly attractive targets for the synthesis and accumulation of oil in vegetative plant parts (Ohlrogge and Chapman, 2011). Assuming 20 ton dry biomass per hectare, the engineering of >15% oil in leaves and stems on a dry weight basis could potentially rival or surpass oil palm in terms of oil yield. The overexpression of WRI1, DGAT1 and Oleosin transgenes while silencing two additional genes involved in starch biosynthesis pathway (AGPase) and lipid turnover (PXA1) only yielded around 2% TAG on a dry weight (DW) basis in leaves and stems of sugarcane (Zale et al., 2016). This outcome illustrates the need for further pathway optimization to address potential additional lipid flux bottlenecks that occur in this species.

Sorghum is the fifth most important cereal crop in the world. Grain sorghum varieties provide an important staple food and feed supply, while sweet and forage sorghum varieties are cultivated for biofuel and fodder markets, respectively (Calvino and Messing, 2012; Mathur et al., 2017; Smith and Frederiksen, 2000). Compared to sugarcane, sorghum is adapted to both tropical and temperate growing regions due to its higher water use efficiency and the ability to enter growth arrest when facing drought conditions. In addition, sorghum has relatively low input requirements, can grow on a wide variety of soils that are suboptimal for other crops and has a relatively short growing period of 4–5 months. Amongst potential C4 biofuel crops, sorghum has one of the highest photosynthetic energy conversion efficiencies (Slattery and Ort, 2015). High biomass sorghum hybrids exhibit delayed flowering during the growing season due to photoperiod sensitivity for short day lengths. The prolonged vegetative growth phase leads to biomass yields from 15 up to 60 tons DW per hectare, making sorghum an excellent target crop to engineer increased TAG levels in leaves and stems (Olson et al., 2012). As a first step towards developing sweet or forage sorghum as a dedicated biomass oil crop, we explored the possibility of increasing the TAG content in leaves of grain sorghum (Tx430). We chose this inbred line as a C4 model given its shorter life cycle, ease of backcrossing into appropriate biomass or forage sorghum cultivars and the high‐efficiency transformation protocol that was recently established in our group (Belide et al., 2017). Here, we report how overexpression of WRI1, DGAT1 and Oleosin‐L results in the synthesis and accumulation of more than 8% TAG (DW) in leaves of primary transformants, visible as oil droplets primarily within mesophyll cells.

Results

Overexpression of WRI1, DGAT2 and Oleosin‐L in sorghum

We designed a series of expression constructs for rapid and modular testing of different gene and promoter combinations in the primary generation (T0) of S. bicolor Tx430 by biolistic co‐transformation. We describe here the results obtained with three of these genetic constructs. The first vector, pOIL197, contained the U. ramanniana DGAT2a and S. indicum Oleosin‐L expression cassettes in addition to the NPTII selectable marker (Figure 1). Two other vectors, pOIL102 and pOIL103, contained the Z. mays WRI1 gene under the control of the Z. mays Ubiquitin‐1 or PEPC promoter, respectively. The PEPC promoter was chosen to restrict WRI1 expression under light conditions to the mesophyll cells where initial carbon fixation by the PEP carboxylase (PEPC) occurs in C4 plants. On the other hand, the constitutive ubiquitin‐1 promoter is expected to result in strong expression in both mesophyll and bundle sheath cells.

Figure 1.

Figure 1

Open in a new tab

Schematic representation of the minimal expression cassettes containing Zea mays WRI1, Umbelopsis ramanniana DGAT2a and Sesamum indicum Oleosin‐L. Orange arrows represent transgenes, promoter regions are shown as green arrows and blue lines indicate terminator sequences. Ubiquitin‐1, Z. mays Ubiquitin‐1 promoter; Actin‐1, O. sativa Actin‐1 promoter; PEPC, Z. mays PEPC promoter; Nos, Rhizobium radiobacter Nopaline synthase polyadenylation signal; Lectin, Glycine max Lectin polyadenylation signal.

A total of 9, 37, 47 and 205 T0 plants were obtained after transformation of S. bicolor with pOIL102 (‘01’ lines), pOIL102+pOIL197 (‘02’ lines), pOIL103+pOIL197 (‘03’ lines) and pOIL197 (‘197’ lines), respectively. The presence or absence of all three transgenes was determined by ddPCR analysis (Table S2). Of note, we observed up to 30% mortality rate at rooting stage during tissue culture following transformation with pOIL103+pOIL197 due to unknown reasons.

Increased lipid content in transgenic sorghum leaves

Transgenic plants were grown in the glasshouse, and the lowest fully green leaves were sampled at three different stages during development: stage 3–4 (‘vegetative’), stage 5 (‘boot leaf’) and stage 8 (‘seed setting’) (Vanderlip and Reeves, 1972). Initial screening revealed many lines with elevated lipid contents in leaf tissues (Figure 2). While wild‐type controls and negative transformants, as identified by ddPCR, displayed TAG levels below 0.2% (leaf DW) throughout the entire life cycle, maximum TAG levels amongst pOIL102+pOIL197 and pOIL103+pOIL197 populations reached 6.1% (line 02–10) and 7.6% (line 03–31) (leaf DW) at seed setting stage, respectively. Corresponding TFA levels in these transgenic events equalled 8.7 and 9.7% compared to a maximum of 1.6% TFA (leaf DW) in leaves of negative controls. Unlike previous results obtained in tobacco (Vanhercke et al., 2014), increases in TAG levels throughout plant development were less pronounced. Total lipids in many transgenic lines gradually decreased during the life cycle. Interestingly, transformation with either pOIL102 or pOIL197 only resulted in a small increase in TFA and TAG contents which decreased as plants progressed to boot leaf and seed setting stages.

Figure 2.

Figure 2

Open in a new tab

Levels of total lipids (TFA) and triacylglycerol (TAG) on a dry weight basis (DW) in leaves of Sorghum bicolor primary transformants at three stages during development. Sorghum was transformed with pOIL102, pOIL197, pOIL102+pOIL197 or pOIL103+pOIL197. ‘Vegetative’, ‘Boot leaf’ and ‘Seed setting’ corresponded to stages 3–4, 5 and 7–8 of Vanderlip and Reeves (1972). Data are based on single leaf measurements for each transgenic line.

Due to the use of biolistic transformation as a rapid transgene evaluation system, not surprisingly, many transgenic sorghum plants contained high transgene copy numbers, as determined by ddPCR (Table S2). In addition, we observed varying degrees of sterility amongst the transgenic lines, possibly as a result of multiple transgene insertions. We therefore performed a detailed analysis on vegetatively propagated tillers obtained from selected primary transformants, similarly to earlier work in sugarcane and potato (Liu et al., 2017; Zale et al., 2016). To this end, tillers were propagated allowing for triplicate analyses of TAG and TFA levels. Furthermore, for the remainder of the study, we predominantly focussed on the boot leaf stage as this is a distinct and easily identifiable time point during development that allows for rigorous comparison between the different transgenic lines.

Quantification of the lipid content in triplicate leaves from established tillers confirmed elevated TAG and TFA contents in several independent lines co‐transformed with either pOIL102+pOIL197 or pOIL103+pOIL197. The highest levels were observed in line 03–31 confirming earlier screening results. Leaves of this line contained on average 6.9% TFA and 4.6% TAG (leaf DW) at boot leaf stage (Figure S1). This corresponded to an 89.4‐fold increase in TAG content compared to wild‐type control leaves at the same developmental stage. Sorghum plants transformed either with pOIL197 or pOIL102 accumulated up to 0.5% TAG and 3.5% TFA (leaf DW).

Transgene expression and correlation with lipid content

Transgene expression levels were determined in propagated tillers of selected lines by ddPCR (Table S3). In the majority of transgenic lines, DGAT2a was typically expressed at a higher level than the WRI1 transgene. Oleosin‐L expression was either low or absent. Total lipid and TAG contents at boot leaf stage were used to calculate correlation coefficients (Table 1). Both WRI1 and DGAT2a expression showed a significant positive correlation (≥0.79) with TAG levels amongst pOIL102+pOIL197 and pOIL103+pOIL197 transgenic populations. A significant albeit slightly weaker correlation (≥0.57) was observed for TFA content and WRI1 or DGAT2a expression. Oleosin‐L expression was low in most transgenic lines.

Table 1.

Pearson correlation coefficients† for transgene expression and total lipids (TFA) or triacylglycerol (TAG) content (% leaf dry weight) at boot leaf stage for re‐established tillers

Constructs Lipid class WRI1 DGAT2 Oleosin‐L
pOIL102+pOIL197‡ TFA 0.7737** (0.000269) 0.6019* (0.010576) 0.0772 (0.768377)
TAG 0.8252** (0.000045) 0.7903** (0.00016) 0.3689 (0.145078)
pOIL103+pOIL197‡ TFA 0.5675* (0.034286) 0.6764** (0.007902) −0.2299 (0.430987)
TAG 0.8018** (0.000563) 0.9428** (< 0.00001) −0.0154 (0.95941)
Open in a new tab

*P < 0.05; **P < 0.01.

†Significance levels are indicated between brackets.

‡ n = 17 (pOIL102+pOIL197) or 14 (pOIL103+pOIL197).

Sorghum leaf lipidomic changes

We next established replicate tillers of four selected transgenic lines (02–10, 02–19, 03–31 and 03–48) exhibiting varying elevated TAG levels for a more detailed lipid analysis, including an investigation of possible changes occurring in the wider leaf lipidome. Propagated tillers of transgenic primary transformants were smaller compared to tillers obtained from wild‐type controls plants with the exception of line 03–48 (Figure 3). Quantification by GC‐FID of TAG and TFA levels in triplicate leaves confirmed increases in both lipid fractions (Figures S2 and S3). Maximum average TAG levels in triplicate leaves (% DW) of lines 02–19 and 03–31 sampled at boot leaf stage were 2.8% and 5.2%, respectively. In all transgenic lines, linoleic acid (C18:2Δ9,12) was increased at the expense of α‐linolenic acid (C18:3Δ9,12,15). However, we detected distinct differences in the levels of two other major fatty acids, palmitic acid (C16:0) and oleic acid (C18:1Δ9). Lines 02–10 and 02–19 contained increased proportions of oleic acid, while palmitic acid was typically elevated in the TFA and TAG fractions of 03–31 and 03–48 leaves. Lipid quantification in leaf and stem tissues at seed setting stage revealed considerable leaf‐to‐leaf variation (Figure S4). Lower TFA and TAG contents were observed in older leaves of wild‐type and transgenic propagated tillers. The highest TFA and TAG levels were detected in the flag leaf of line 03–31 at seed setting equalling 9.9% and 8.4% on a DW basis, respectively. Transgenic stem tissues contained less than 3% total lipids (DW) compared to 0.3% in wild‐type stems.

Figure 3.

Figure 3

Open in a new tab

Propagated tillers from wild‐type and four independent transgenic Sorghum bicolor lines at boot leaf (a) and seed setting (b) stages. Transgenic ‘02’ and ‘03’ events were transformed with pOIL102+pOIL197 or pOIL103+pOIL197, respectively. Scale bar: 1 m.

Total lipid extracts from wild‐type and transgenic leaves sampled at boot leaf stage were subjected to LC‐MS to analyse different neutral and polar lipid classes in more detail. All four transgenic lines exhibited elevated TAG, amounting to a 100‐fold increase in line 03–31 compared to the wild‐type controls (Figure 4a). Small increases in PC were detected in both 03 transgenic lines, while levels of the plastidial galactolipids MGDG and DGDG were variable. Both LPC and DAG constituted minor lipid classes. TAG molecular species in lines 03–31 and 03–48 were enriched in palmitic acid and linoleic acid (Figure 4b). Major TAG species included TAG (50:2) and TAG (50:3) containing two palmitoyl chains and TAG (52:4) and TAG (52:5) consisting of palmitoyl and linoleoyl chains (Figure S5). Lines 02–10 and 02–19 exhibited distinctly different TAG profiles. Leaf tissues of both lines preferentially accumulated TAG consisting of one or more linoleoyl chains such as TAG (52:3‐5) and TAG (54:4‐8). The distinct differences in TAG profiles between the two transgenic populations were in line with earlier GC‐FID results (Figure S3).

Figure 4.

Figure 4

Open in a new tab

Lipidome analysis of wild‐type and transgenic Sorghum bicolor leaves at boot leaf stage. (a) Quantification of major neutral, phospholipid and galactolipid classes. Error bars indicate 95% confidence intervals of the LS means. Means sharing a letter are not significantly different (P < 0.01, Tukey‐adjusted) within the lipid class based on one‐way ANOVA. (b) Triacylglycerol (TAG) molecular species (number of carbon atoms: number of double bonds). Lines ‘02’ and ‘03’ were transformed with pOIL102+pOIL197 or pOIL103+pOIL197, respectively. DAG, diacylglycerol; DGDG, digalactosyldiacylglycerol; LPC, lysophosphatidylcholine; MGDG, monogalactosyldiacylglycerol; PC, phosphatidylcholine; TAG, triacylglycerol. Data are based on triplicate leaves from triplicate propagated tillers for each line.

Changes in TAG compositions were also reflected in the precursor DAG (Figure S6). Dominant DAG (34:2) and DAG (34:3) molecular species in lines 03–31 and 03–48 were enriched in palmitoyl chains while both 02 lines contained DAG molecules containing two C18 acyl chains (DAG 36:2‐6). Abundant eukaryotic galactolipid species such as MGDG (36:6) and DGDG (36:6) were either reduced or not significantly affected (Figure S6). Two prokaryotic galactolipid species, MGDG (34:3) and DGDG (34:2) were increased slightly in lines 03–31 and 03–48. The dominant prokaryotic DGDG species (34:3) was either unchanged or reduced in transgenic leaves. PC molecular species containing palmitoyl or linoleoyl chains including PC (34:1‐2) and PC (36:4) were elevated, particularly in lines 03–31 and 03–48 (Figure S6). Di‐palmitoyl PC (32:0) was increased in line 03–31, reflecting the higher levels of palmitoyl chains as detected by GC‐FID.

TAG accumulation affects starch and amino acid content

Synthesis and accumulation of TAG in transgenic leaves of lines 03–31 and 03–48 had a negative impact on transitory starch levels which were reduced 7.4‐ and 15.3‐fold on average, respectively (Figure S7). Starch levels in leaves of both 02 lines were not significantly affected. Sucrose constituted the dominant leaf soluble sugar in all plants (Figure S8). Sucrose levels were twofold lower in line 03–48, while line 02–19 Line was comparable to the wild‐type control. Raffinose was reduced by 19.6‐fold in line 03–48, while monosaccharides such as glucose, fructose and galactose displayed smaller reductions.

A metabolite quantification by GC‐MS identified 36 compounds that were significantly different in leaves of wild‐type and transgenic lines (Table 2). Twenty metabolites were detected at higher levels in TAG‐accumulating leaves, including multiple amino acids, urea and the citric acid cycle (TCA) intermediate, α‐ketoglutarate. Several dicarboxylic acids, sugar alcohols, fructose, xylose and shikimate were amongst the metabolites that were less abundant in transgenic leaves. Principal component analysis revealed clear separations of both transgenic events and the wild‐type control (Figure S9).

Table 2.

Metabolites displaying significanta differences in accumulation in wild‐type vs. transgenic leaves (lines 02‐19 and 03‐48) at boot leaf stage

Metabolite Trend WT1/03‐48 P‐value WT1/02‐19 P‐value 02‐19/03‐48 P‐value
D‐glucose 03‐48‐1 = 02‐19‐1> WT 0.621 0.004 0.599 0.028 1.037 0.844
Erythronic acid‐1,4‐lactone 03‐48‐1 = 02‐19‐1> WT 0.508 0.000 0.607 0.039 0.836 0.308
2‐oxo‐glutaric acid 03‐48‐1 = 02‐19‐1> WT 0.381 0.004 0.294 0.008 1.298 0.353
O‐acetylserine 03‐48‐1 = 02‐19‐1> WT 0.277 0.025 0.185 0.002 1.503 0.220
L‐glutamine 03‐48‐1 = 02‐19‐1> WT 0.112 0.002 0.144 0.033 0.782 0.536
Glyceric acid 03‐48‐1 > 02‐19‐1 > WT 0.365 0.000 0.599 0.011 0.609 0.001
Pyroglutamic acid 03‐48‐1 > 02‐19‐1 > WT 0.205 0.000 0.353 0.006 0.581 0.003
L‐threonine 03‐48‐1 > 02‐19‐1 > WT 0.150 0.002 0.346 0.001 0.435 0.022
L‐Serine 03‐48‐1 > 02‐19‐1 > WT 0.071 0.000 0.384 0.016 0.185 0.001
L‐Tyrosine 03‐48‐1 > 02‐19‐1 > WT 0.029 0.000 0.077 0.000 0.373 0.002
L‐cysteine 03‐48‐1 > 02‐19‐1 > WT 0.021 0.001 0.038 0.000 0.558 0.088
1,6‐anhydroglucose 03‐48‐1 > 02‐19‐1 > WT 0.021 0.003 0.122 0.037 0.169 0.009
L‐valine 03‐48‐1 > 02‐19‐1 > WT 0.012 0.004 0.031 0.003 0.396 0.055
L‐phenylalanine 03‐48‐1 > 02‐19‐1 > WT 0.009 0.001 0.041 0.000 0.209 0.006
Urea 03‐48‐1 > 02‐19‐1 > WT 0.007 0.003 0.015 0.005 0.499 0.111
L‐aspartic acid 03‐48‐1 > 02‐19‐1 > WT 0.007 0.002 0.024 0.000 0.293 0.015
Beta‐alanine 03‐48‐1 > 02‐19‐1 > WT 0.007 0.023 0.026 0.050 0.269 0.085
L‐methionine 03‐48‐1 > 02‐19‐1 > WT 0.004 0.005 0.021 0.001 0.216 0.019
L‐isoleucine 03‐48‐1 > 02‐19‐1 > WT 0.004 0.008 0.028 0.005 0.143 0.018
L‐Glutamic acid 03‐48‐1 > 02‐19‐1 > WT 0.001 0.000 0.001 0.002 0.525 0.015
Sorbose WT > 02‐19‐1 > 03‐48‐1 4.232 0.000 1.898 0.000 2.230 0.000
Ribitol WT > 02‐19‐1 > 03‐48‐1 3.275 0.000 1.499 0.000 2.185 0.000
2‐ketoglyconic acid WT > 02‐19‐1 > 03‐48‐1 3.049 0.000 1.987 0.000 1.534 0.010
Shikimic acid WT > 02‐19‐1 > 03‐48‐1 2.799 0.000 1.724 0.003 1.623 0.053
Fructose WT > 02‐19‐1 > 03‐48‐1 1.990 0.000 1.456 0.013 1.366 0.079
Maleic acid WT > 02‐19‐1 > 03‐48‐1 1.980 0.001 1.677 0.005 1.180 0.084
Xylitol WT > 02‐19‐1 > 03‐48‐1 1.704 0.000 1.684 0.000 1.012 0.893
Maltose WT > 02‐19‐1 > 03‐48‐1 1.439 0.000 1.371 0.001 1.050 0.578
Arabitol WT > 02‐19‐1 > 03‐48‐1 1.402 0.001 1.409 0.001 0.995 0.957
Fumaric acid WT > 02‐19‐1 > 03‐48‐1 1.322 0.028 1.293 0.037 1.022 0.633
Malic acid WT > 02‐19‐1 > 03‐48‐1 1.319 0.001 1.719 0.000 0.767 0.016
Xylose WT > 02‐19‐1 > 03‐48‐1 1.191 0.035 1.273 0.011 0.936 0.316
Malonic acid WT > 02‐19‐1 > 03‐48‐1 0.790 0.005 1.980 0.000 0.399 0.000
Isoascorbic acid WT > 02‐19‐1 > 03‐48‐1 0.694 0.001 1.499 0.004 0.463 0.000
Ribonic acid WT > 02‐19‐1 > 03‐48‐1 0.597 0.000 1.425 0.004 0.419 0.000
Gulonic acid WT > 02‐19‐1 > 03‐48‐1 0.485 0.000 1.473 0.001 0.330 0.000
Open in a new tab
a

P‐values are based on a Welch T‐test and triplicate leaves from 2 to 3 propagated tillers for each line.

Sorghum leaves accumulate TAG as cytosolic lipid droplets

To investigate in which cell types TAG accumulated in the 02–10 and 03–31 transgenic lines, thin fresh sections of leaves were harvested at boot leaf stage, stained with a dye marking neutral lipids, and imaged using confocal microscopy. In sorghum leaves, chloroplasts of bundle sheath and mesophyll cells have different auto‐fluorescing properties, allowing for easy distinction between the two cell types. In wild‐type sections, very few droplets were detected which localized in either cell type (Figure 5a,b; see Figure S10 for unstained sections). On the other hand, leaf sections of line 03–31 revealed an abundance of small lipid droplets that primarily accumulated in the cytosol of mesophyll cells (Figure 5e–i). This result was confirmed by scanning electron microscopy, which showed that small, densely packed lipid droplets accumulated preferentially in the cytosol of mesophyll cells in line 03–31 (Figure 5j and k). This distribution pattern likely reflects the tissue specificity of the PEPC promoter used to generate this particular transgenic line. Starch granules in bundle sheath cells of line 03–31 were smaller in size compared to the wild‐type control (Figure 5j and k). Finally, fresh leaf sections of line 02–10 revealed an intermediate number of lipid droplets in both mesophyll and bundle sheath cells (Figure 5c and d).

Figure 5.

Figure 5

Open in a new tab

Accumulation of lipid droplets in Sorghum bicolor leaf mesophyll cells. (a–i) Confocal images showing oil content in fresh leaf cross sections of wild‐type (a,b) or transgenic tillers transformed with either pOIL102+pOIL197 (line 02–10; c,d) or pOIL103+pOIL197 (line 03–31; e–i). Lipid droplets were stained with Bodipy (green), while chloroplast autofluorescence was used to highlight the mesophyll chloroplasts (magenta). Panels g–i show a single plane taken in the region highlighted with a dashed box in e–f. (j–k) Images of wild‐type (j) and transgenic (line 03–31; h) leaf cross sections, collected by scanning electron microscopy. Cytosolic oil bodies and chloroplasts are marked by white and empty arrowheads, respectively. MC, mesophyll cell; BSC, bundle sheath cell; VB, vascular bundle. Scale bars correspond to 40 μm (a–f) and 10 μm (g–k).

Discussion

In this study, we relied on co‐transformation and lipid analysis of primary sorghum transformants as a means to rapidly screen different gene and promoter combinations. Co‐expression of WRI1 and DGAT2a yielded up to 8.4% TAG and 9.9% TFA in flag leaf tissue during seed setting. Accumulation of TAG was visible as oil droplets throughout the leaf mesophyll cells. The levels achieved in this study are the highest reported in vegetative tissues of a C4 crop to date. Although absolute TAG levels in sugarcane were much lower compared to our results in sorghum, relative increases in both species were remarkably similar (95‐ and 100‐fold). As suggested by Zale et al. (2016), basal TAG metabolic rates might be different between crop species and therefore affect absolute increases achieved via combinatorial metabolic engineering. Transformation of separate WRI1 and DGAT2a expression cassettes revealed a synergistic effect on TAG content when both transgenes were co‐expressed. Similar observations have been reported in A. thaliana, tobacco and sugarcane, suggesting both genes can act as key drivers for TAG biosynthesis in both dicot and monocot species (Kelly et al., 2013; Vanhercke et al., 2013; Zale et al. 2016).

We compared two different monocot promoters as previous studies in tobacco and A. thaliana had suggested promoter strength to be critical when co‐expressing WRI1 and DGAT2a transgenes (Vanhercke et al., 2014; Zhai et al., 2017). Unlike tobacco and A. thaliana, it appears that at least sugarcane and sorghum can tolerate strong constitutive promoters to drive combined WRI1 and DGAT expression. Although the use of the two different promoters resulted in comparable TAG levels, we did observe differences in the fatty acid profiles and lipidomes of the two transgenic sorghum populations. All transgenic plants exhibited a shift in fatty acid profile towards a lower degree of desaturation. This was mainly due to a reduction in α‐linoleic acid, similar to previous results obtained in tobacco (Vanhercke et al., 2014; Vanhercke et al., 2017). However, plants transformed with either the Z. mays Ubiquitin‐1 (pOIL102+pOIL197) or PEPC promoter driving WRI1 expression (pOIL103+pOIL197) displayed distinct changes in the proportions of palmitic acid and linoleic acid in the TAG and TFA fractions. Linoleic acid was increased in transgenic 02 lines, whereas 03 plants typically contained higher palmitic acid levels. Consequently, both transgenic populations exhibited different ratios of C16 vs C18 fatty acids which were also clearly visible in the lipidome fingerprints as discussed below.

LC‐MS analysis of four selected transgenic lines containing two different genetic constructs revealed three major TAG groups. TAG molecular species composed of either one (52:3‐5) or two (50:2‐3) palmitoyl chains were enriched in 03 lines. On the other hand, TAG species in 02 transgenic plants typically contained either one palmitoyl group (52:3‐5) or three C18 acyl chains (54:4‐8). One possible explanation for the elevated levels of palmitic acid could be due to FatA up‐regulation as a result of the WRI1 transgene overexpression (Maeo et al., 2009). The FatA thioesterase hydrolyses palmitoyl‐ACP, thereby releasing palmitic acid for subsequent incorporation into extraplastidial lipids. Increased DAG molecular species containing a palmitoyl chain (34:2‐3) likely serve as a substrate for the synthesis of TAG (50:2‐3). This would imply acylation of a second palmitoyl group at the sn‐3 position of the DAG backbone. Previous in vitro activity assays with U. ramanniana DGAT2a have shown considerable activity on DAG molecules containing shorter chain fatty acids as well as a lack of discrimination between DAG substrates containing C18 fatty acids (Lardizabal et al., 2001, 2008). Contrary to our observation, however, Oakes et al. (2011) found lower levels of palmitic acid in embryo oil following U. ramanniana DGAT2a overexpression in maize kernels. The different fatty acid profiles could be attributed to the nature of the tissue (source vs sink) and crop species. Whether or not U. ramanniana DGAT2a activity is responsible for the acylation of palmitic acid at the sn‐3 position of DAG resulting in di‐palmitoyl TAG requires further in‐depth biochemical studies using a variety of radiolabelled DAG and acyl‐CoA substrates. A similar reaction at the sn‐3 position of DAG containing two C18 groups (DAG 36:2‐5) would yield TAG (52:2‐5) in the 03 lines. Alternatively, acylation of DAG (34:2‐3) with a C18 group would lead to a similar outcome. The latter reaction might reflect endogenous phosphatidylcholine:diacylglycerol acyltransferase (PDAT) activity relying on increased levels of linoleic acid at the sn‐2 position of PC. In the 02 lines, elevated DAG (36:2‐6) species are likely the precursor for TAG consisting of three C18 acyl chains. Changes in PC followed the trend observed in DAG and TAG to some extent. Both DAG (32:2) and PC (32:2) species were highly increased in the 03 lines, hinting at a product–precursor relationship. Several enzymes are known to interconvert PC and DAG including phosphatidylcholine:diacylglycerol cholinephosphotransferase, cholinephosphotransferase and phospholipase C (Bates and Browse, 2012). Interestingly, in both 02 lines, DAG (36:6) was enriched, whereas PC (36:6) was depleted. This might reflect efficient flux of α‐linolenic acid from PC to DAG, followed by a bottleneck in the subsequent conversion to TAG. In the 03 lines, on the other hand, increased levels of palmitic acid might successfully compete for incorporation into PC and DAG, leading to lower levels of the 36:6 molecular species in both lipid classes.

Starch is a major carbon and energy storage form in leaves and some source tissues such as tubers and therefore expected to compete with lipids for photosynthetic carbon. Previous attempts at engineering elevated levels of storage lipids in a variety of species and tissues did negatively impact transitory or storage starch metabolism (Zale et al., 2016; Vanhercke et al., 2014; Hofvander et al., 2016; Liu et al., 2017; Mitchell et al., 2017; Vanhercke et al., 2017). Quantification of starch levels in transgenic sorghum leaves showed a distinct difference between the two transgenic populations. Transgenic 02 lines did not differ from wild‐type plants in their starch content. On the other hand, 03 lines were characterized by a reduction in transitory starch levels. GC‐MS analysis of soluble sugars revealed a similar trend with major mono‐, di‐ and trisaccharides reduced in leaves of 03 plants. Previous work in C4 plants has highlighted bundle sheath cells as the exclusive site of starch accumulation, whereas sucrose synthase activity in sorghum leaves was more pronounced in mesophyll cells (Lunn and Furbank, 1997). The inverse relationship between carbohydrate and storage lipid metabolism in the 03 lines and the occurrence of lipid droplets preferentially accumulating in the mesophyll cells suggests a reallocation of carbon into storage lipids as a result of mesophyll‐specific WRI1 expression.

A wider metabolite comparison between wild‐type and transgenic leaves showed increased abundance of 11 amino acids. Urea, an intermediate of arginine catabolism (Witte, 2011), was also detected at elevated levels in transgenic sorghum leaves. Increased levels of amino acids have also been observed in transgenic potato tubers and maize kernels, overexpressing one or more genes involved in TAG biosynthesis (Mitchell et al., 2017; Pouvreau et al., 2011). In addition, heterologous WRI1 expression in potato tubers has been reported to affect expression of genes involved in amino acid metabolism (Grimberg et al., 2015). Overall, the changes in amino acid content could be a direct result of WRI1 overexpression, caused by changes in glycolytic and citric acid cycle (TCA) metabolic fluxes or due to indirect adjustments to the carbon and nitrogen metabolism as suggested by Pouvreau et al. (2011). Phenylalanine, valine, aspartate, threonine, isoleucine, methionine and tyrosine were amongst the amino acids that were increased in transgenic sorghum leaves. These amino acids originate from either pyruvate or phosphoenolpyruvate which also serve as precursors for lipid biosynthesis. Their elevated contents could reflect increased flux through the glycolytic pathway for subsequent de novo fatty acid synthesis. Moreover, phenylalanine and tyrosine are formed via the shikimate pathway which also provides precursors of other compounds including phenylpropanoids such as lignin. Hemicellulose, another cell wall component, consists of a variety of polysaccharides including xylose (Kumar et al., 2016). The effect of elevated levels of both amino acids in combination with reduced contents of shikimate and xylose on secondary cell wall composition in oil‐accumulating transgenic sorghum might have important implications for bioethanol production from left‐over biomass after TAG extraction. Amongst the TCA dicarboxylic acids, α‐ketoglutarate levels were increased in transgenic leaves while both malate and fumarate were reduced. This could reflect changes to TCA flux as a consequence of altered N‐metabolism since α‐ketoglutarate is involved in the synthesis of glutamate (Sweetlove et al., 2010). Sorghum and other plants belonging to the NADP‐malic C4 group rely on malate for the transport of photosynthetic carbon between leaf mesophyll and bundle sheath cells. Lower malate levels in mesophyll cells as a result of increased demand for lipid and possibly amino acid synthesis are expected to directly impact carbon fixation in the bundle sheath cells, explaining the reduction in overall starch levels.

Low Oleosin‐L transcript levels were detected in the majority of the transgenic lines. In addition, lipid accumulation was not correlated with oleosin expression and therefore most likely attributable to WRI1 and DGAT2a expression only. Likely oil body coating is suboptimal within leaf cells of the transgenic sorghum lines in this study due to low Oleosin‐L expression. Oil body proteins such as oleosin are known to stabilize oil droplet integrity and reduce TAG turnover (Fan et al., 2013b; Winichayakul et al., 2013). A futile TAG cycle occurring in the current transgenic lines would limit the accumulation of oil, particularly in senescing leaves during later stages of plant development. Overexpression of alternative functional oil body proteins such as caleosin or lipid droplet‐associated proteins are possible ways to improve lipid droplet stability and further elevate TAG levels in sorghum (Gidda et al., 2016; Shimada et al., 2014). Alternatively, silencing of the SDP1 lipase or overexpression of the LEC2 master regulator of embryogenesis has also been shown to partly overcome TAG turnover in nonseed tissues (Kelly et al., 2013; Vanhercke et al., 2017). Finally, overall lipid content in transgenic sorghum stems was much lower compared to leaves. Unlike leaves, stems are major sink tissues in sweet sorghum as they accumulate high levels of fermentable sugars. Improving the energy density in stem tissues of C4 crops such as sweet sorghum will likely require genetic manipulation of additional genes such as those implicated in sugar transport and storage in stem parenchyma cells in combination with carefully selected stem‐specific promoters (Bihmidine et al., 2016; Qazi et al., 2012).

The high biomass yields of some cultivars and high leaf‐to‐stem ratio of subspecies such as S. bicolor drumondii (sudangrass) make sorghum an ideal and versatile target crop for the engineering of extractable levels of plant oils throughout the entire vegetative biomass. The work presented here provides a first step towards the development of sorghum as a dedicated oil or dual‐purpose crop that has the potential to outcompete current oilcrops for future food, feed, oleochemical and biofuel needs.

Material and methods

Plant expression vectors

We designed three expression constructs for biolistic co‐transformation of Sorghum Bicolor Tx430. A synthetic fragment containing the Z. mays WRI1 gene (Shen et al., 2010a), codon optimized for expression in Triticum aestivum, followed by the Glycine max Lectin terminator was subcloned into the AscI and NotI sites of pJP3343, a pORE04‐based binary expression vector (Coutu et al., 2007). The resulting vector was designated pOIL100. The Z. mays Ubiquitin‐1 promoter (Christensen et al., 1992) was amplified from pUKN (Liu and Godwin, 2012) and subcloned as a HindIII‐AvrII fragment into the HindIII‐XbaI sites of pOIL100, resulting in pOIL102. The Z. mays PEPC promoter (Matsuoka and Minami, 1989) was synthesized and subcloned into pOIL100 using the HindIII and NcoI restriction sites, resulting in pOIL103.

The Oryza sativa Actin‐1 promoter (McElroy et al., 1990) was amplified from pZLAct1cas (Dr. Zhongyi Li, CSIRO) and cloned as an XhoI‐ClaI fragment into the SpeI‐ClaI sites of pORE04, resulting in pOIL094. To this end, XhoI and SpeI restriction sites were treated with T4 DNA polymerase to generate blunt ends prior to digestion with ClaI. Plasmid pOIL095 was subsequently generated by inserting the gene coding for the Sesamum indicum Oleosin L‐isoform (Tai et al., 2002) into the KpnI site of pOIL094. The Umbelopsis ramanniana DGAT2a gene (Lardizabal et al., 2008) was codon optimized for expression in Triticum aestivum, synthesized as a SmaI‐KpnI fragment and subcloned downstream of the Z. mays Ubiquitin‐1 promoter in pZLUbi1casNK (Dr. Zhongyi Li, CSIRO), yielding pOIL093. Next, pOIL134 was obtained by subcloning the entire DGAT2a expression cassette from pOIL093 into the NotI site of pOIL095. The Z. mays Ubiquitin‐1 promoter sequence followed by the NPTII gene was removed from pUKN as a HindIII‐SmaI fragment and cloned into the AscI‐HindIII sites of pJP3343. The AscI in pJP3343 was first treated with T4 DNA polymerase prior to HindIII digestion and subsequent ligation. The resulting vector pOIL196 was digested with HindIII, followed by treatment with T4 DNA polymerase and digestion with AgeI. The resulting 3358 bp fragment was subcloned into pOIL134 at the ZraI‐AgeI sites. The resulting vector was designated pOIL197. The pOIL197 subcloning strategy resulted in an additional Nopaline synthase polyadenylation signal in‐between the Z. mays Ubiquitin‐1 and O. sativa Actin‐1 promoter sequences. Gene syntheses were done by GeneArt (Thermo Fisher Scientific).

S. bicolor transformation

Differentiating embryogenic callus was generated from grain sorghum inbred line Tx430 and used as explant for genetic transformation of sorghum and putative transgenic plants were regenerated as described by Belide et al. (2017). Negative wild‐type controls were taken through tissue culture without antibiotic selection. Transgenic plants were grown in the glasshouse under 28 ± 1 °C/20 ± 1 °C and natural light. Additional transformations of pOIL102 or pOIL197 were undertaken at the University of Queensland essentially as described (Liu and Godwin, 2012) and subsequently grown alongside the other transgenic lines in the glasshouse. Care was taken to cut back emerging tillers during the sampling period to maximize carbon availability in leaves on the main culm. Following final sampling, tillers were allowed to develop for subsequent propagation.

Copy number and gene expression analyses

Transgene copy numbers were determined by digital droplet PCR (ddPCR) essentially as described in Belide et al. (2017) using S. bicolor enol2 reference gene (Casu et al., 2012). For gene expression analysis by ddPCR, total RNA from leaf tissue was extracted using RNA Easy plant kit (Qiagen). Total RNA (2 μg) was treated with RQ1 RNase‐Free DNase (Promega), followed by reverse transcription using SuperScript III VILO Master Mix (Invitrogen). Each 25 μL reaction volume contained 12.5 μL of ddPCR Supermix master mix, 400 nm of each primer, 200 nm of the probe and 1 μL cDNA. Oil droplet generation, PCR amplification and data analysis were done as described (Vanhercke et al., 2017). The S. bicolor actin gene served as reference for gene expression analysis (Shen et al., 2010a, b). Primer and probe sequences used in ddPCR reactions are detailed in Table S1.

Total lipid and TAG quantification

Total fatty acids (TFA) were extracted from 100 mg freeze‐dried tissue as previously described (Vanhercke et al., 2013). Solvent of the lipid extract was evaporated under a N2 flow and total lipids were resuspended in 2 μL chloroform per mg leaf DW. Total lipids were separated by thin layer chromatography in hexane:diethylether:acetic acid (70:30:1, v:v:v) as previously described (Vanhercke et al., 2013). Fatty acid methyl esters (FAME) of total lipids (15 mg leaf DW) or TAG (30 mg leaf DW) were prepared in 750 μL 1N methanolic‐HCl in the presence of triheptadecanoin (Nuchek Prep, Inc.) as an internal standard (Vanhercke et al., 2013). FAME analysis was performed on an Agilent 7890A gas chromatography system with flame ionization detection (GC‐FID). Chromatograms were recorded and peaks were identified against retention times of authentic FAME standards (NuChek Prep, Inc).

LC‐MS analysis

Sorghum leaf samples were first analysed qualitatively on an Agilent 6550 Q‐TOF to identify lipid species, and quantitative multiple reaction monitoring (MRM) analysis was conducted on an Agilent 6490 triple quadrupole mass spectrometer. Chloroform extracts containing lipids were dried under nitrogen and resuspended in chloroform to 100 mg/mL, then diluted to 1 mg/mL in butanol:methanol (1:1, v:v) prior to analysis by liquid chromatography–mass spectrometry (LC‐MS). Lipids were separated on a Waters BEH C8 (100 mm × 2.1 mm, 2.7 μm) with an Agilent 1290 series operating a binary gradient flow rate of 0.2 mL/min. The mobile phases were (A) H2O:acetonitrile (10:90, v:v) with 10 mm ammonium formate and 0.2% formic acid and (B) H2O:acetonitrile:isopropanol (5:15:80, v:v:v) containing 10 mm ammonium formate and 0.2% formic acid. The gradient was held at 1% mobile phase (B) for 2 min before being raised to 20% (B) at 5 min, 60% (B) at 8 min, 70% (B) at 12 min and final increase to 90% (B) at 14 min before re‐equilibration to 1% (B). The eluent was introduced into an Agilent Jet Stream source with ionization conditions as follows: nebulizer at 45 psi, gas temperature and flow rates set at 250 °C and 14 L/min, sheath gas and flow at 250 °C and 11 L/min, capillary and nozzle voltages set at 3000 V and 100 V, respectively. The positive ion ammonium adducts of monogalactosyldiacylglycerol (MGDG), digalactosyldiacylglycerol (DGDG), diacylglycerol (DAG) and TAG lipid species were fragmented using a collision energy of 28 V for all lipid classes except for DAG where a collision energy of 14 V was used. Multiple reaction monitoring (MRM) lists were based on lipid species detected by Q‐TOF and the neutral loss of the following major fatty acids: C16:0, C16:3, C18:0, C18:1, C18:2 and C18:3. The positive ion phosphatidylcholine (PC) and lysophosphatidylcholine (LPC) species hydrogen adducts were quantified by the characteristic 184 m/z phosphatidyl head group.

External standards were purchased from Avanti Polar Lipids (PC 36:2 18:1/18:1, MGDG 34:6 16:3/18:3, DGDG 34:3 16:0/18:3, DAG 36:2 18:1/18:1, TAG 54:3 18:1/18:1/18:1) and standard curves ranging from 0.001 μg/mL to 100 μg/mL were used to quantify all lipid species within each class. Peak integration and initial analysis were conducted using MassHunter Quantitative software B.07.00 (Agilent Technologies) and exported for further data analysis using the dplyr and ggplot1 packages from R v3.4.0 using RStudio v1.0.143 (Horton and Kleinman, 2015).

Metabolite analyses

Polar secondary metabolites were first extracted by homogenizing frozen leaf tissue in 5× volume per tissue weight of methanol:H2O (20:3, v:v) containing 8.7 μg/mL sorbitol. The homogenate was centrifuged at 10 000 g for 5 min to remove solid matter and the supernatant was stored at −80 °C until further analysis. Next, 30 μL of the supernatant was dried down in a vacuum concentrator and methoxylated with 10 μL of 20 mg/mL methoxyamine hydrochloride in pyridine at 37 °C for 90 min, followed by silylation with 15 μL of N‐methyl‐N‐(trimethylsilyl)‐trifluoroacetamide (Sigma‐Aldrich) at 37 °C for 30 min. Prior to GC‐MS analysis, 5 μL of an n‐alkane mix containing n‐dodecane, n‐hexadecane, n‐eicosane, n‐heneicosane, n‐docosane and n‐pentacosane was added to each derivatized sample at a final concentration of 0.029% each (v:v or w:v for n‐alkanes that were liquid or solid at ambient temperature, respectively). One μL of the derivatized sample was analysed by GC‐MS according to Mitchell et al. (2017). MetabolomeExpress was used to process raw GC‐MS data and conduct statistical analyses (Carroll et al., 2010). Metabolites were identified by mass spectral data as well as retention index information using the public metabolome library in MetabolomeExpress, the Golm metabolome database (Hummel et al., 2007) and NIST 14 mass spectral library (http://chemdata.nist.gov/dokuwiki/doku.php?id=chemdata:start). D‐(‐)‐fructose, D‐(+)‐glucose, D‐(+)‐galactose, sucrose and D‐(+)‐raffinose (Sigma‐Aldrich) were derivatized as per above and subjected to GC‐MS to determine retention times. Peak areas of the sugars in the sorghum samples with the corresponding retentions times were extracted from the total ion chromatograms using MassHunter Qualitative B.07.00 (Agilent Technologies) and normalized against the extracted peak area of sorbitol. Starch content in leaf tissue at the end of the day was quantified essentially as previously described (Vanhercke et al., 2017).

Confocal laser‐scanning microscopy

Flag leaves of re‐established side tillers from transgenic S. bicolor plants were harvested at the beginning of flowering and kept on ice until sections were prepared for imaging. Fresh, thin hand sections were stained for 10 min with a solution of 50 mm PIPES pH7 supplemented with 2 μg/mL of BODIPY 505–515 (4,4‐Difluoro‐1,3,5,7‐Tetramethyl‐4‐Bora‐3a,4a‐Diaza‐s‐Indacene, Thermo Fisher Scientific). They were then rinsed in a solution of PIPES pH7 and imaged right away. Control sections were placed directly in 50 mm PIPES pH 7 for 10 min before being mounted on slides and imaged to establish background fluorescence of the tissue.

All samples were imaged with a confocal laser‐scanning microscope (Leica TCS SP8) equipped with a white light laser and a 40× water immersion objective ([NA] = 1.1), and controlled by the LAS X software (Leica Microsystems). Imaging was done in a sequential manner: BODIPY was excited at 505 nm and its emission was collected at 520‐540 nm, while in a separate track, chloroplasts were excited at 633 nm and their autofluorescence was collected at 650–690 nm. Maximum projections were generated with the LAS X software.

Scanning electron microscopy

For ultrastructural analysis, harvested sorghum leaf tissues were cut into 1 mm × 2 mm size samples and fixed in 2.5% glutaraldehyde (SIP Supplies) and 4% paraformaldehyde (SPI Supplies) in 0.1 m phosphate buffer (pH 7.2) and subsequently post‐fixed in 1% osmium tetroxide (SPI Supplies) at room temperature for 4 h. The fixed samples were dehydrated in a graded ethanol series and infiltrated with LR white acrylic resin (medium grade, Sigma‐Aldrich). Subsequently, polymerization occurred at 60 °C in a vacuum oven under nitrogen. Following thin sectioning on a UC7 ultramicrotome (Leica) onto indium tin oxide, SPI Supplies) coverslips, the 300 nm thin sections were poststained with uranyl acetate (1% aqueous) and lead citrate (Reynolds). The samples were examined in a scanning electron microscope (ZEISS UltraPlus FESEM) at an accelerating voltage of 3 kV using the back‐scattered detector. The contrast was inversed for all captured images.

Author contributions

T.V., S.P.S. and J.R.P. designed research. T.V., S.B., M.C.T., A.E.T., S.O., V.R., Q.L., M.M., P.S., I.V., L.M., C.B., A.M., L.Z., N.N., D.H., B.D., G.L., I.D.G., J.L. and M.R. performed research. T.V., S.B., M.C.T., A.E.T., S.O., V.R., Q.L., M.M., P.S., X.R.Z., S.P.S. and J.R.P. analysed data. T.V., S.B., M.C.T., S.O. and V.R. wrote the manuscript.

Supporting information

Figure S1 Total lipids (TFA) and triacylglycerol (TAG) contents on a dry weight basis (DW) in leaves of selected transgenic Sorghum bicolor at boot leaf stage. Sorghum was transformed with pOIL102, pOIL197, pOIL102+pOIL197 or pOIL103+pOIL197. Selected primary transformants were re‐established from side‐tillers obtained from selected independent primary transformants. Means and standards deviations are based on triplicate leaves for each transgenic line.

Figure S2 Total lipid (TFA) composition and content on a dry weight basis (DW) in leaves of wild‐type and transgenic Sorghum bicolor at boot leaf stage. Only major fatty acids are shown. Triplicate tillers were propagated from four selected independent primary transgenic events, transformed either with pOIL102+pOIL197 (‘02’ events) or pOIL103+pOIL197 (‘03’ events). Means and standards deviations are based on triplicate leaves from each propagated tiller.

Figure S3 Triacylglycerol (TAG) composition and content on a dry weight basis (DW) in leaves of wild‐type and transgenic Sorghum bicolor at boot leaf stage. Only major fatty acids are shown. Triplicate tillers were propagated from four selected independent primary transgenic events, transformed either with pOIL102+pOIL197 (‘02’ events) or pOIL103+pOIL197 (‘03’ events). Means and standards deviations are based on triplicate leaves from each propagated tiller.

Figure S4 Total lipid (TFA) and triacylglycerol (TAG) contents (% dry weight) in leaf and stem tissues of wild‐type and transgenic Sorghum bicolor at seed setting stage. Transgenic ‘02’ and ‘03’ events were transformed with pOIL102+pOIL197 or pOIL103+pOIL197, respectively. Leaves from propagated tillers were numbered from top to bottom, starting from the flag leaf. Stem tissues were sampled from the bottom third part of the tiller. Values are based on single measurements.

Figure S5 Fatty acid composition of selected TAG species in leaves of wild‐type and transgenic Sorghum bicolor at boot leaf stage. Triplicate tillers were propagated from four selected independent primary transgenic events, transformed either with pOIL102+pOIL197 (‘02’ events) or pOIL103+pOIL197 (‘03’ events). Individual TAG species are labelled based on the total number of carbon atoms and double bonds. Means and standards deviations are based on triplicate leaves from each propagated tiller.

Figure S6 Diacylglycerol (DAG), digalactosyldiacylglycerol (DGDG), monogalacosyldiacylglycerol (MGDG) and phosphatidylcholine (PC) molecular species (number of carbon atoms: number of double bonds) in wild‐type and transgenic Sorghum bicolor leaves at boot leaf stage. Lines ‘02’ and ‘03’ were transformed with pOIL102+pOIL197 or pOIL103+pOIL197, respectively. Means and standards deviations are based on triplicate leaves from triplicate propagated tillers.

Figure S7 Starch content (% dry weight) in leaves of wild‐type and transgenic Sorghum bicolor at boot leaf stage. Triplicate tillers were propagated from four selected independent primary transgenic events, transformed either with pOIL102+pOIL197 (‘02’ events) or pOIL103+pOIL197 (‘03’ events). Means and standards deviations are based on triplicate leaves from each propagated tiller.

Figure S8 Relative contents of different soluble sugars in leaves of wild‐type and transgenic Sorghum bicolor at boot leaf stage. Transgenic lines 02–19 and 03–48 were transformed either with pOIL102+pOIL197 or pOIL103+pOIL197, respectively. Glucose and galactose were detected as two peaks (‘mp’, major product; ‘bp’, biproduct) with identical mass spectra. Means and standards deviations are based on triplicate leaves from 2 to 3 propagated tillers.

Figure S9 Principle component analysis (PCA) of metabolites in wild‐type and transgenic Sorghum bicolor leaves at boot leaf stage. Wild‐type (open triangles), lines 02–19 (open circles) and 03–48 (closed circles) are clustered.

Figure S10 Confocal images of unstained fresh Sorghum bicolor leaf cross‐sections of wild‐type (a,b) or propagated tillers transformed with either pOIL102+pOIL197 (c,d) or pOIL103+pOIL197 (e–f), showing that there was no autofluorescence in the Bodipy channel (green, a,c,e). Chloroplast autofluorescence was used to highlight the mesophyll chloroplasts (magenta, b,d,f,h,i). Scale bars: 40 μm.

Table S1 Digital PCR primer and probe sequences.

Table S2 Transgene copy numbers in Sorghum bicolor primary transformants.

Table S3 Transgene expression levels in propagated tillers of selected lines normalized to S. bicolor actin.

Click here for additional data file. (2.5MB, docx)

Acknowledgements

We would like to acknowledge Drs Sapna Viphakaran Pillae and Yoko Kennedy for help and technical expertise. We want to thank Dr Rosemary White for assistance with interpreting confocal microscopy results and Dr Rob Defeyter for helpful discussions. Plasmids pZLAct1cas and pZLUbi1casNK were kindly provided by Dr Zhongyi Li (CSIRO Agriculture & Food). The authors declare that CSIRO has filed patents on the work being submitted for publication.

References

  1. Alameldin, H. , Izadi‐Darbandi, A. , Smith, S.A. , Balan, V. , Jones, A.D. and Sticklen, M. (2017) Production of seed‐like storage lipids and increase in oil bodies in corn (Maize; Zea mays L.) vegetative biomass. Ind. Crops Prod. 108, 526–534. [Google Scholar]
  2. Bates, P.D. (2016) Understanding the control of acyl flux through the lipid metabolic network of plant oil biosynthesis. Biochem. Biophys. Acta. 1861, 1214–1225. [DOI] [PubMed] [Google Scholar]
  3. Bates, P.D. and Browse, J. (2012) The significance of different diacylglycerol synthesis pathways on plant oil composition and bioengineering. Front. Plant Sci. 3, 147. [DOI] [PMC free article] [PubMed] [Google Scholar]
  4. Beechey‐Gradwell, Z. (2016) Novel genetic engineering technology which increase leaf lipid content modifies the ensiling properties of perennial ryegrass. PhD thesis, Massey University, Palmerston North, New Zealand.
  5. Belide, S. , Vanhercke, T. , Petrie, J.R. and Singh, S.P. (2017) Robust genetic transformation of sorghum (Sorghum bicolor L.) using differentiating embryogenic callus induced from immature embryos. Plant Methods, 13, 10.1186/s13007-017-0260-9. [DOI] [PMC free article] [PubMed] [Google Scholar]
  6. Bihmidine, S. , Julius, B. , Dweikat, I. and Braun, D.M. (2016) Tonoplast sugar transporters (SbTSTs) putatively control sucrose accumulation in sweet sorghum stems. Plant Signal. Behav. 11, e1117721. [DOI] [PMC free article] [PubMed] [Google Scholar]
  7. Calvino, M. and Messing, J. (2012) Sweet sorghum as a model system for bioenergy crops. Curr. Opin. Biotechnol. 23, 323–329. [DOI] [PubMed] [Google Scholar]
  8. Carroll, A.J. , Badger, M.R. and Millar, A.H. (2010) The MetabolomeExpress Project: enabling web‐based processing, analysis and transparent dissemination of GC/MS metabolomics datasets. BMC Bioinformatics, 11, 376. [DOI] [PMC free article] [PubMed] [Google Scholar]
  9. Casu, R. , Selivonova, A. and Perroux, J.M. (2012) High‐throughput assessment of transgene copy number in sugarcane using real‐time quantitative PCR. Plant Cell Rep. 31, 167–177. [DOI] [PubMed] [Google Scholar]
  10. Christensen, A.H. , Sharrock, R.A. and Quail, P.H. (1992) Maize polyubiquitin genes: structure, thermal perturbation of expression and transcript splicing, and promoter activity following transfer to protoplasts by electroporation. Plant Mol. Biol. 18, 675–689. [DOI] [PubMed] [Google Scholar]
  11. Coutu, C. , Brandle, J. , Brown, D. , Brown, K. , Miki, B. , Simmonds, J. and Hegedus, D.D. (2007) pORE: a modular binary vector series suited for both monocot and dicot plant transformation. Transgenic Res. 16, 771–781. [DOI] [PubMed] [Google Scholar]
  12. Fan, J. , Yan, C. and Xu, C. (2013a) Phospholipid: diacylglycerol acyltransferase‐mediated triacylglycerol biosynthesis is crucial for protection against fatty acid‐induced cell death in growing tissues of Arabidopsis. Plant J. 76, 930–942. [DOI] [PubMed] [Google Scholar]
  13. Fan, J. , Yan, C. , Zhang, X. and Xu, C. (2013b) Dual role for phospholipid: diacylglycerol acyltransferase: enhancing fatty acid synthesis and diverting fatty acids from membrane lipids to triacylglycerol in Arabidopsis leaves. Plant Cell, 25, 3506–3518. [DOI] [PMC free article] [PubMed] [Google Scholar]
  14. Fan, J. , Yan, C. , Roston, R. , Shanklin, J. and Xu, C. (2014) Arabidopsis lipins, PDAT1 acyltransferase, and SDP1 triacylglycerol lipase synergistically direct fatty acids toward β‐oxidation, thereby maintaining membrane lipid homeostasis. Plant Cell, 26, 4119–4134. [DOI] [PMC free article] [PubMed] [Google Scholar]
  15. Fan, J. , Yu, L. and Xu, C. (2017) A central role for triacylglycerol in membrane lipid breakdown, fatty acid β‐oxidation, and plant survival under extended darkness. Plant Physiol. 174, 1517–1530. [DOI] [PMC free article] [PubMed] [Google Scholar]
  16. Gidda, S.K. , Park, S. , Pyc, M. , Yurchenko, O. , Cai, Y. , Wu, P. , Andrews, D.W. et al (2016) Lipid droplet‐associated proteins (LDAPs) are required for the dynamic regulation of neutral lipid compartmentation in plant cells. Plant Physiol. 170, 2052–2071. [DOI] [PMC free article] [PubMed] [Google Scholar]
  17. Grimberg, A. , Carlsson, A.S. , Marttila, S. , Bhalerao, R. and Hofvander, P. (2015) Transcriptional transitions in Nicotiana benthamiana leaves upon induction of oil synthesis by WRINKLED1 homologs from diverse species and tissues. BMC Plant Biol. 15, 1929. [DOI] [PMC free article] [PubMed] [Google Scholar]
  18. Hofvander, P. , Ischebeck, T. , Turesson, H. , Kushwaha, S.K. , Feussner, I. , Carlsson, A.S. and Andersson, M. (2016) Potato tuber expression of Arabidopsis WRINKELD1 increase triacylglycerol and membrane lipids while affecting central carbohydrate metabolism. Plant Biotechnol. J. 14, 1883–1898. [DOI] [PMC free article] [PubMed] [Google Scholar]
  19. Horton, N.J. and Kleinman, K. (2015) Using R and RStudio for data management, statistical analysis, and graphics. Boca Raton, Florida, USA: CRC Press. [Google Scholar]
  20. Hummel, J. , Selbig, J. , Walther, D. and Kopka, J. (2007) The Golm Metabolome Database: a database for GC‐MS based metabolite profiling In Metabolomics(Neilsen J. and Jewett M.C., eds), pp. 75–96. Berlin, Heidelberg, New York: Springer‐Verlag. [Google Scholar]
  21. Kelly, A.A. , van Erp, H. , Quettier, A.L. , Shaw, E. , Menard, G. , Kurup, S. and Eastmond, P.J. (2013) The Sugar‐dependent1 lipase limits triacylglycerol accumulation in vegetative tissues of Arabidopsis. Plant Physiol. 162, 1282–1289. [DOI] [PMC free article] [PubMed] [Google Scholar]
  22. Klaus, D. , Ohlrogge, J.B. , Neuhaus, H.E. and Dormann, P. (2004) Increased fatty acid production in potato by engineering of acetyl‐CoA carboxylase. Planta, 219, 389–396. [DOI] [PubMed] [Google Scholar]
  23. Kumar, M. , Campbell, L. and Turner, S. (2016) Secondary cell walls: biosynthesis and manipulation. J. Exp. Bot. 67, 515–531. [DOI] [PubMed] [Google Scholar]
  24. Lardizabal, K.D. , Mai, J.T. , Wagner, N.W. , Wyrick, A. , Voelker, T. and Hawkins, D.J. (2001) DGAT2 is a new diacylglycerol acyltransferase gene family. J. Biol. Chem. 276, 38862–38869. [DOI] [PubMed] [Google Scholar]
  25. Lardizabal, K. , Effertz, R. , Levering, C. , Mai, J. , Pedroso, M.C. , Jury, T. , Aasen, E. et al (2008) Expression of Umbelopsis ramanniana DGAT2A in seed increases oil in soybean. Plant Physiol. 148, 89–96. [DOI] [PMC free article] [PubMed] [Google Scholar]
  26. Li‐Beisson, Y. , Shorrosh, B. , Beisson, F. , Andersson, M.X. , Arondel, V. , Bates, P.D. , Baud, S. et al (2013) Acyl‐lipid metabolism. Arabidopsis Book, 11, e0161. [DOI] [PMC free article] [PubMed] [Google Scholar]
  27. Liu, G. and Godwin, I.D. (2012) Highly efficient sorghum transformation. Plant Cell Rep. 31, 999–1007. [DOI] [PMC free article] [PubMed] [Google Scholar]
  28. Liu, Q. , Guo, Q. , Akbar, S. , Zhi, Y. , El Tahchy, A. , Mitchell, M. , Li, Z. et al (2017) Genetic enhancement of oil content in potato tuber (Solanum tuberosum L.) through an integrated metabolic engineering strategy. Plant Biotechnol. J. 15, 56–67. [DOI] [PMC free article] [PubMed] [Google Scholar]
  29. Lunn, J.E. and Furbank, R.T. (1997) Localisation of sucrose‐phosphate synthase and starch in leaves of C4 plants. Planta, 202, 106–111. [DOI] [PubMed] [Google Scholar]
  30. Maeo, K. , Tokuda, T. , Ayame, A. , Mitsui, N. , Kawai, T. , Tsukagoshi, H. , Ishiguro, S. et al (2009) An AP2‐type transcription factor, WRINKLED1, of Arabidopsis thaliana binds to the AW‐box sequence conserved among proximal upstream regions of genes involved in fatty acid synthesis. Plant J. 60, 476–487. [DOI] [PubMed] [Google Scholar]
  31. Manan, S. , Chen, B. , She, G. , Wan, X. and Zhao, J. (2017) Transport and transcriptional regulation of oil production in plants. Crit. Rev. Biotechnol. 37, 641–655. [DOI] [PubMed] [Google Scholar]
  32. Maravi, D.K. , Kumar, S. , Sharma, P.K. , Kobayashi, Y. , Goud, V.V. , Sakurai, N. , Koyoma, H. et al (2016) Ectopic expression of AtDGAT1 encoding diacylglycerol O‐acyltransferase exclusively committed to TAG biosynthesis, enhances oil accumulation in seeds and leaves of Jatropha. Biotechnol. Biofuels 9, 226. [DOI] [PMC free article] [PubMed] [Google Scholar]
  33. Mathur, S. , Umakanth, A.V. , Tonapi, V.A. , Sharma, R. and Sharma, M.K. (2017) Sweet sorghum as biofuel feedstock: recent advances and available resources. Biotechnol. Biofuels 10, 146. [DOI] [PMC free article] [PubMed] [Google Scholar]
  34. Matsuoka, M. and Minami, E. (1989) Complete structure of the gene for phosphoenolpyruvate carboxylase. Eur. J. Biochem. 181, 593–598. [DOI] [PubMed] [Google Scholar]
  35. McElroy, D. , Zhang, W. , Cao, J. and Wu, R. (1990) Isolation of an efficient actin promoter for use in rice transformation. Plant Cell, 2, 163–171. [DOI] [PMC free article] [PubMed] [Google Scholar]
  36. Mitchell, M. , Pritchard, J. , Okada, S. , Larroque, O. , Yulia, D. , Pettolino, F. , Szydlowski, N. et al (2017) Oil accumulation in transgenic potato tubers alters starch quality and nutritional profile. Front. Plant Sci. 8, 554 10.3389/fpls.2017.00554. [DOI] [PMC free article] [PubMed] [Google Scholar]
  37. Oakes, J. , Brackenridge, D. , Colletti, R. , Daley, M. , Hawkins, D.J. , Xiong, H. , Mai, J. et al (2011) Expression of fungal diacylglycerol acyltransferase2 genes to increase kernel oil in maize. Plant Physiol. 155, 1146–1157. [DOI] [PMC free article] [PubMed] [Google Scholar]
  38. OECD/FAO (2017) OECD‐FAO Agricultural Outlook 2017‐2026. Paris: OECD Publishing. doi: dx.doi.org/10.1787/agr_outlook‐2017‐en. [Google Scholar]
  39. Ohlrogge, J. and Chapman, K. (2011) The seeds of green energy. Expanding the contribution of plant oils as biofuels. Biochemist, 33, 34–38. [Google Scholar]
  40. Olson, S.N. , Ritter, K. , Rooney, W. , Kemanian, A. , McCarl, B.A. , Zhang, Y. , Hall, S. et al (2012) High biomass yield energy sorghum: developing a genetic model for C4 grass bioenergy crops. Biofuels, Bioprod. Biorefin. 6, 640–655. [Google Scholar]
  41. Pouvreau, B. , Baud, S. , Vernoud, V. , Morin, V. , Py, C. , Gendrot, G. , Pichon, J.P. et al (2011) Duplicate maize WRINKLED1 transcription factor activate target genes involved in seed oil biosynthesis. Plant Physiol. 156, 674–686. [DOI] [PMC free article] [PubMed] [Google Scholar]
  42. Qazi, H.A. , Paranjpe, S. and Bhargava, S. (2012) Stem sugar accumulation in sweet sorghum – activity and expression of sucrose metabolizing enzymes and sucrose transporters. J. Plant Physiol. 169, 605–613. [DOI] [PubMed] [Google Scholar]
  43. Shen, B. , Allen, Z.B. , Zheng, P. , Li, C. , Glassman, K. , Ranch, J. , Nubel, D. et al (2010a) Expression of ZmLEC1 and ZmWRI1 increases seed oil production in maize. Plant Physiol. 153, 980–987. [DOI] [PMC free article] [PubMed] [Google Scholar]
  44. Shen, C. , Bai, Y. , Wang, S. , Zhang, S. , Wu, Y. , Chen, M. , Jiang, D. et al (2010b) Expression profile of PIN, AUX/LAX and PGP auxin transporter gene families in Sorghum bicolor under phytohormone and abiotic stress. FEBS Lett. 277, 2954–2969. [DOI] [PubMed] [Google Scholar]
  45. Shimada, T.L. , Takano, Y. , Shimada, T. , Fujiwara, M. , Fukao, Y. , Miro, M. , Okazaki, Y. et al (2014) Leaf oil body functions as a subcellular factory or the production of a phytoalexin in Arabidopsis. Plant Physiol. 164, 105–118. [DOI] [PMC free article] [PubMed] [Google Scholar]
  46. Singh, V. , Singh, P.K. , Siddiqui, A. , Singh, S. , Banday, Z.Z. and Nandi, A.K. (2016) Over‐expression of Arabidopsis thaliana SFD1/GLY1, the gene encoding plastid localized glycerol‐3‐phosphate dehydrogenase, increases plastidic lipid content in transgenic plants. J. Plant. Res. 129, 285–293. [DOI] [PMC free article] [PubMed] [Google Scholar]
  47. Slattery, R.A. and Ort, D.R. (2015) Photosynthetic energy conversion efficiency: setting a baseline for gauging future improvements in important food and biofuel crops. Plant Physiol. 168, 383–392. [DOI] [PMC free article] [PubMed] [Google Scholar]
  48. Smith, C.W. and Frederiksen, R.A. (2000) Sorghum: Origin, History, Technology, and Production. New York: John Wiley & Sons. [Google Scholar]
  49. Sweetlove, L.J. , Beard, K.F.M. , Nunes‐Nesi, A. , Fernie, A.R. and Ratcliffe, R.G. (2010) Not just a circle: flux modes in the plant TCA cycle. Trends Plant Sci. 15, 462–470. [DOI] [PubMed] [Google Scholar]
  50. Tai, S.S.K. , Chen, M.C.M. , Peng, C.C. and Tzen, J.T.C. (2002) Gene family of oleosin isoforms and their structural stabilization in sesame seed oil bodies. Biosci. Biotechnol. Biochem. 66, 2146–2153. [DOI] [PubMed] [Google Scholar]
  51. Troncoso‐Ponce, M.A. , Nikovics, K. , Marchive, C. , Lepiniec, L. and Baud, S. (2016) New insights on the organization and regulation of the fatty acid biosynthetic network in the model higher plant Arabidopsis thaliana. Biochimie, 120, 3–8. [DOI] [PubMed] [Google Scholar]
  52. Vanderlip, R.L. and Reeves, H.E. (1972) Growth stages of Sorghum [Sorghum bicolor, (L.) Moench.]. Agron. J. 64, 13–16. [Google Scholar]
  53. Vanhercke, T. , El Tahchy, A. , Shrestha, P. , Zhou, X.R. and Singh, S. (2013) Synergistic effect of WRI and DGAT1 coexpression on triacylglycerol biosynthesis in plants. FEBS Lett. 587, 364–369. [DOI] [PubMed] [Google Scholar]
  54. Vanhercke, T. , El Tahchy, A. , Liu, Q. , Zhou, X.R. , Shrestha, P. , Divi, U.K. , Ral, J.P. et al (2014) Metabolic engineering of biomass for high energy density: oilseed‐like triacylglycerol yields from plant leaves. Plant Biotechnol. J. 12, 231–239. [DOI] [PMC free article] [PubMed] [Google Scholar]
  55. Vanhercke, T. , Divi, U.K. , El Tahchy, A. , Liu, Q. , Mitchell, M. , Taylor, M.C. , Eastmond, P.J. et al (2017) Step changes in leaf oil accumulation via iterative metabolic engineering. Metab. Eng. 39, 237–246. [DOI] [PubMed] [Google Scholar]
  56. Weselake, R.J. (2016) Engineering oil accumulation in vegetative tissue In Industrial Oil Crops (McKeon T.A., Hayes D.G., Hildebrand D.F. and Weselake R.J., eds), pp. 413–434. London: Academic Press and AOCS Press. [Google Scholar]
  57. Winichayakul, S. , Cookson, R. , Scott, R. , Zhou, J. , Zou, X. , Roldan, M. , Richardson, K. et al (2008) Delivery of grasses with high levels of unsaturated, protected fatty acids. Proc. NZ Grassland Assoc. 70, 211–216. [Google Scholar]
  58. Winichayakul, S. , Scott, R.W. , Roldan, M. , Bertrand Hatier, J.H. , Livingston, S. , Cookson, R. , Curran, A.C. et al (2013) In vivo packaging of triacylglycerols enhances Arabidopsis leaf biomass and energy density. Plant Physiol. 162, 626–639. [DOI] [PMC free article] [PubMed] [Google Scholar]
  59. Witte, C.P. (2011) Urea metabolism in plants. Plant Sci. 180, 431–438. [DOI] [PubMed] [Google Scholar]
  60. Xu, C. and Shanklin, J. (2016) Triacylglycerol metabolism, function, and accumulation in plant vegetative tissues. Annu. Rev. Plant Biol. 67, 179–206. [DOI] [PubMed] [Google Scholar]
  61. Yang, Z. and Ohlrogge, J.B. (2009) Turnover of fatty acids during natural leaf senescence of Arabidopsis, Brachypodium, and switchgrass and in Arabidopsis β‐oxidation mutants. Plant Physiol. 150, 1981–1989. [DOI] [PMC free article] [PubMed] [Google Scholar]
  62. Zale, J. , Jung, J.H. , Kim, J.Y. , Pathak, B. , Karan, R. , Liu, H. , Chen, X. et al (2016) Metabolic engineering of sugarcane to accumulate energy‐dense triacylglycerols in vegetative biomass. Plant Biotechnol. J. 14, 661–669. [DOI] [PMC free article] [PubMed] [Google Scholar]
  63. Zhai, Z. , Liu, H. , Xu, C. and Shanklin, J. (2017) Sugar potentiation of fatty acid and triacylglycerol accumulation. Plant Physiol. 175, 696–707. [DOI] [PMC free article] [PubMed] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

Figure S1 Total lipids (TFA) and triacylglycerol (TAG) contents on a dry weight basis (DW) in leaves of selected transgenic Sorghum bicolor at boot leaf stage. Sorghum was transformed with pOIL102, pOIL197, pOIL102+pOIL197 or pOIL103+pOIL197. Selected primary transformants were re‐established from side‐tillers obtained from selected independent primary transformants. Means and standards deviations are based on triplicate leaves for each transgenic line.

Figure S2 Total lipid (TFA) composition and content on a dry weight basis (DW) in leaves of wild‐type and transgenic Sorghum bicolor at boot leaf stage. Only major fatty acids are shown. Triplicate tillers were propagated from four selected independent primary transgenic events, transformed either with pOIL102+pOIL197 (‘02’ events) or pOIL103+pOIL197 (‘03’ events). Means and standards deviations are based on triplicate leaves from each propagated tiller.

Figure S3 Triacylglycerol (TAG) composition and content on a dry weight basis (DW) in leaves of wild‐type and transgenic Sorghum bicolor at boot leaf stage. Only major fatty acids are shown. Triplicate tillers were propagated from four selected independent primary transgenic events, transformed either with pOIL102+pOIL197 (‘02’ events) or pOIL103+pOIL197 (‘03’ events). Means and standards deviations are based on triplicate leaves from each propagated tiller.

Figure S4 Total lipid (TFA) and triacylglycerol (TAG) contents (% dry weight) in leaf and stem tissues of wild‐type and transgenic Sorghum bicolor at seed setting stage. Transgenic ‘02’ and ‘03’ events were transformed with pOIL102+pOIL197 or pOIL103+pOIL197, respectively. Leaves from propagated tillers were numbered from top to bottom, starting from the flag leaf. Stem tissues were sampled from the bottom third part of the tiller. Values are based on single measurements.

Figure S5 Fatty acid composition of selected TAG species in leaves of wild‐type and transgenic Sorghum bicolor at boot leaf stage. Triplicate tillers were propagated from four selected independent primary transgenic events, transformed either with pOIL102+pOIL197 (‘02’ events) or pOIL103+pOIL197 (‘03’ events). Individual TAG species are labelled based on the total number of carbon atoms and double bonds. Means and standards deviations are based on triplicate leaves from each propagated tiller.

Figure S6 Diacylglycerol (DAG), digalactosyldiacylglycerol (DGDG), monogalacosyldiacylglycerol (MGDG) and phosphatidylcholine (PC) molecular species (number of carbon atoms: number of double bonds) in wild‐type and transgenic Sorghum bicolor leaves at boot leaf stage. Lines ‘02’ and ‘03’ were transformed with pOIL102+pOIL197 or pOIL103+pOIL197, respectively. Means and standards deviations are based on triplicate leaves from triplicate propagated tillers.

Figure S7 Starch content (% dry weight) in leaves of wild‐type and transgenic Sorghum bicolor at boot leaf stage. Triplicate tillers were propagated from four selected independent primary transgenic events, transformed either with pOIL102+pOIL197 (‘02’ events) or pOIL103+pOIL197 (‘03’ events). Means and standards deviations are based on triplicate leaves from each propagated tiller.

Figure S8 Relative contents of different soluble sugars in leaves of wild‐type and transgenic Sorghum bicolor at boot leaf stage. Transgenic lines 02–19 and 03–48 were transformed either with pOIL102+pOIL197 or pOIL103+pOIL197, respectively. Glucose and galactose were detected as two peaks (‘mp’, major product; ‘bp’, biproduct) with identical mass spectra. Means and standards deviations are based on triplicate leaves from 2 to 3 propagated tillers.

Figure S9 Principle component analysis (PCA) of metabolites in wild‐type and transgenic Sorghum bicolor leaves at boot leaf stage. Wild‐type (open triangles), lines 02–19 (open circles) and 03–48 (closed circles) are clustered.

Figure S10 Confocal images of unstained fresh Sorghum bicolor leaf cross‐sections of wild‐type (a,b) or propagated tillers transformed with either pOIL102+pOIL197 (c,d) or pOIL103+pOIL197 (e–f), showing that there was no autofluorescence in the Bodipy channel (green, a,c,e). Chloroplast autofluorescence was used to highlight the mesophyll chloroplasts (magenta, b,d,f,h,i). Scale bars: 40 μm.

Table S1 Digital PCR primer and probe sequences.

Table S2 Transgene copy numbers in Sorghum bicolor primary transformants.

Table S3 Transgene expression levels in propagated tillers of selected lines normalized to S. bicolor actin.

Click here for additional data file. (2.5MB, docx)

Articles from Plant Biotechnology Journal are provided here courtesy of Wiley

RESOURCES