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Gene expression profiles that shape high and low oil content sesames



Sesame (Sesamum indicum) can accumulate over 60% oil in its seed. However, low oil content genotypes with an oil content of less than 50% are also observed. To gain insights into how genes shape this variation, we examined 22 seed and carpel transcriptomes from 3 varieties of sesame with high and low oil content.


A total of 34.6~52.2% of the sesame genes were expressed with a RPKM greater than 5 in the 22 tissue samples. The expressed gene numbers tended to decrease in the seed but fluctuated in the carpels from 10 to 30 days post-anthesis (DPA). Compared with that of the low oil content sesames, the high oil content sesame exhibited more positive gene expression during seed development. Typically, genes involved in lipid biosynthesis were enriched and could distinguish the high and low genotypes at 30 DPA, suggesting the pivotal role of seed oil biosynthesis in the later stages. Key homologous lipid genes that function in TAG biosynthesis, including those that encoded glycerol-3-phosphate acyltransferase (GPAT), acyl-CoA:diacylglycerol acyltransferase (DGAT), and phospholipid:diacylglycerol acyltransferase (PDAT), were strengthened asynchronously at different stages, but the lipid transfer protein (LTP)-encoding genes, including SIN_1019175, SIN_1019172 and SIN_1010009, usually were highlighted in the high oil content sesames. Furthermore, a list of 23 candidate genes was identified and predicted to be beneficial for higher oil content accumulation. Despite the different gene expression patterns between the seeds and carpels, the two tissues showed a cooperative relationship during seed development, and biological processes, such as transport, catabolic process and small molecule metabolic process, changed synchronously.


The study elucidated the different expression profiles in high and low oil content sesames and revealed key stages and a list of candidate genes that shaped oil content variation. These findings will accelerate dissection of the genetic mechanism of sesame oil biosynthesis.


Sesame is an important and ancient oil crop. It has been cultivated for 5000 years in Asia and traditionally has been considered a high quality oil crop [1]. Analysis of the chemical components has shown that sesame seeds contain 48~62% oil by weight, and approximately 80% of the oil belongs to monounsaturated and polyunsaturated fatty acids, which are healthy for humans [2]. The high oil yield and quality earned sesame a label of “queen of oilseeds” [3]. With increasing knowledge of the dietary and health benefits of sesame, the consumption of sesame or sesame oil has increased significantly in Asia, Europe and America in recent years according to statistical data from the FAO.

With population growth, the global consumption of plant oils has increased by > 50% over the past decade [4]. Plant oil consumption is expected to double by 2040 with the increasing human population [5]. The steady demand for more edible plant oils has urged scientists to explore the genetic basis of oil biosynthesis and a high oil yield in crops. Sesame is ranked in the first class for oil content among the edible oil crops, such as soybean, rapeseed, peanut and olive. This feature, combined with its diploid character and small genome size of 357 Mb, make it an ideal plant model for studying oil biosynthesis or other traits [6].

Despite its high oil content, less is known about the genetic mechanisms or genes related to oil biosynthesis in sesame, because this topic has received very little attention from scientists. Indeed, the sesame has been considered an orphan crop for a long time. To date, a few genes, including LTP, PDAT, SiPPO, and SiNST, have been identified and predicted to be related to regulation of oil content in the sesame [7, 8]. Therefore, the genes involved in regulation of the sesame oil content and how they function during seed development still need to be uncovered. In contrast, extensive research into the genes and pathways involved in TAG or lipid biosynthesis has been performed in other crops, especially in the model plant Arabidopsis thaliana [9, 10]. The A. thaliana acyl-lipid metabolic reactions were reported to require at least 120 enzymatic reactions, and more than 700 genes encode the proteins and regulatory factors involved in these reactions [9, 11,12,13,14,15]. Therefore, a list of unanswered questions remains concerning which genes are involved and how they shape the high and low oil content in sesames [9].

Here, we report a comprehensive analysis of stage-specific sesame transcriptome profiles during the early (10 DPA, days post-anthesis), mid (20 DPA), mid-late (25 DPA), and later (30 DPA) seed development stages of a high oil content sesame (HO) and the two low oil content sesames (LOA and LOB). Because FA and TAG biosynthesis is tightly linked to photosynthesis and carbohydrate metabolism, which provide the carbon source for FA synthesis [16], the carpels corresponding to each seed sample at the different stages were also investigated. This study will facilitate the identification of differentially expressed genes and assessment of the gene expression patterns in developing seeds and carpels, which in turn will help identify some candidate genes that function in greater oil accumulation in the sesame.


The sesame seed and carpel showed different gene expression patterns

In the 22 seed and carpel samples (Fig. 1a, Additional file 1: Tables S1 and S2), 71.2% of the 27,148 sesame genes were expressed with a RPKM greater than 1. To guarantee the reliability of the gene expression profiles, genes with RPKM values less than 5 in at least one sample were filtered out. Following this standard, 9402~14,172 of the genes expressed in the samples were retained for further study (Fig. 1b, Additional file 1: Table S3), accounting for 34.6~52.2% of the total sesame genes. The expression levels of these genes ranged from 0.01 to 216,096.3 and averaged 60.2 RPKM, with the seed genes expressed at slightly higher levels than those of the carpels on average. The distinguished expression patterns between the sesame seeds and carpels were further highlighted using the expressed gene numbers and their corelationships (Fig. 1d, Additional file 2: Figure S1). From 10 to 30 DPA, the expressed gene numbers of the high and low oil content sesame seeds tended to decrease except for LOB, which showed a slight increase from 25 to 30 DPA. In the carpels, the numbers of expressed genes in the three varieties fluctuated from 10 to 25 DPA (Fig. 1c, Additional file 2: Figure S1). However, the gene expression profiles were not clear after 25 DPA, because the carpels of both LOA and LOB were senescent at 30 DPA.

Fig. 1

The development characteristics of the seed and carpel. a The carpels and seeds at 10, 20, 25 and 30 DPA. b The expressed gene numbers in the high and low oil content sesame seeds during development. c The expressed gene numbers in the high and low oil content sesame carpels during development. d The gene expression levels distinguished the seed and carpel after 20 DPA. HOS: Seed of high oil content sesame ZZM4728; LOAS: Seed of low oil content sesame ZZM3495; LOBS: Seed of low oil content sesame ZZM2161; HOS: Carpel of high oil content sesame ZZM4728; LOAS: Carpel of low oil content sesame ZZM3495; LOBS: Carpel of low oil content sesame ZZM2161

The later development stage is important for the high oil content

By scrutinizing differences in the expression profiles of the genes between the one high and the two low oil content sesame varieties, we found that 794, 1807, 528 and 1667 of the shared DEGs between HO and LOA/LOB were detected in the seeds at 10, 20, 25 and 30 DPA, respectively (Fig. 2). When the DEGs at different stages between HO and LOA/LOB were mapped to KEGG terms, most of the enriched pathways were shared by the seed and carpel from 10 to 25 DPA. However, the biological processes related to lipid biosynthesis, including unsaturated fatty acids, fatty acid metabolism and glycosphingolipid biosynthesis, were exclusively detected in the seed at 10 or 20 DPA, whereas few similar function processes were found in the carpels. Typically, lipid biosynthesis was strengthened at 30 DPA, with 8 of the 11 enriched pathways involving fatty acid biosynthesis, fatty acid elongation, fatty acid metabolism, biosynthesis of unsaturated fatty acids, sphingolipid metabolism, glycolysis/gluconeogenesis, galactose metabolism, and citrate cycle (TCA cycle) (Additional file 1: Table S4), indicating the pivotal role of the 30 DPA stage for lipid biosynthesis and accumulation.

Fig. 2

The differentially expressed genes in the high and low oil content sesames during seed development. a Volcano plot illustrating the DEGs between HO and LOA at different stages. The blue, red and green spots indicate the up-, down-, and normally regulated genes, respectively. b Volcano plot illustrating the DEGs between HO and LOB at different stages. c Numbers of the DEGs between the high and low oil content sesames during seed development. d The shared DEGs between HO and LOAS/LOBS

The homologous lipid genes involved in shaping the high oil content

Because many genes involved in lipid biosynthesis have been discovered from the model plant A. thaliana and other oil crops [9, 14, 16, 17], first we investigated the expression of the known lipid-related genes in the high and low oil content sesames. Referring to the A. thaliana lipid gene set, a list of 708 homologous lipid genes in sesame were identified [6]. A total of 569 of these genes were expressed in the three sesame varieties, of which 254 were differentially expressed genes (DEGs) for at least one time point between HO and LOA/LOB. In contrast, fewer homologous lipid genes were differentially expressed in the carpels, with only 79 shared DEGs detected (Additional file 1: Tables S5 and S6).

In A. thaliana and other plants, some genes have been revealed as rate-limiting steps in TAG biosynthesis, such as acetyl-CoA carboxylase (ACCase), acyl carrier protein (ACP), glycerol-3-phosphate acyltransferase (GPAT), phosphatidylcholine:diacylglycerol cholinephosphotransferase (PDCT), lysophosphatidic acid acyltransferase (LPAAT), acyl-CoA:diacylglycerol acyltransferase (DGAT), and phospholipid:diacylglycerol acyltransferase (PDAT) [9, 18]. These genes showed different expression patterns in sesame. ACCase, ACP, PDAT, PDCT and LPAAT were upregulated in the high oil content sesame seeds, but GPAT and DGAT were upregulated in both the seeds and carpels. The PDAT (SIN_1010510) expression trend was noted in the early and later development stages of the seed (10, 25 and 30 DPA), DGAT (SIN_1027080) was expressed in the middle stage (20 DPA), GPAT (SIN_1009956, SIN_1012236, SIN_1021799 and SIN_1026760) was expressed in the middle and later stages, and ACP (SIN_1010127 and SIN_1016262), PDCT (SIN_1021891) and LPAAT (SIN_1006219 and SIN_1011477) were expressed in the later stages (25 and 30 DPA) and showed more striking expression patterns in the high oil content sesame (Fig. 3a). In addition to the above rate-limiting genes involved in TAG biosynthesis, we found 11 genes that were upregulated significantly (FDR ≤ 0.001) for at least two time points in the HO seed (Fig. 3b). Of them, 3 genes (SIN_1019175, SIN_1019172 and SIN_1010009) belonged to the lipid transfer protein gene family (LTP) (Additional file 1: Table S7).

Fig. 3

Expression patterns of the homologous lipid genes in the sesame seed. a Expression profiles of the known rate-limiting homologous lipid genes involved in sesame TAG biosynthesis. b The 11 genes homologous to A. thaliana lipid genes that were upregulated in the high oil content sesame seed

Novel candidate genes that shaped sesame oil content variation

Previous studies showed that the sesame had fewer lipid homologous genes (708) than A. thaliana (737) and the soybean (1298) [6]. However, these lipid homologous genes may not represent all of the genes involved in sesame lipid biosynthesis due to its higher oil content, and some novel function genes are expected to be discovered. Because genes with functions in the regulation of oil content variation usually expressed differently in different genotypes during seed development, we focused on DEGs between the high and low oil content sesames. The numbers of DEGs changed with seed development from 10 to 30 DPA (Figs. 2 and 4a). The high oil content sesame had more upregulated genes, especially at 20 and 30 DPA (Fig. 2c and d), indicating that HO was more positive in terms of oil biosynthesis.

Fig. 4

Shared and special DEGs between the high and low oil content sesames. a Venn diagrams of the shared and special DEGs in the seed at different stages. b Expression profiles of the 805 shared DEGs in the seed between the high and low oil content sesames. A: represents the 13 assembled pseudomolecules of the sesame; B, E, H and K correspond to HO at 10, 20, 25 and 30 DPA, respectively; C, F, I and L correspond to LOA; D, G, J and M correspond to LOB; N: represents the gene density (mRNA, 500-kb window)

In total, 805 DEGs were identified between the high and low oil content sesames at two or more time points (Fig. 4b). These genes may be involved in improving the oil content. Of these genes, 45 were found to be homologous to A. thaliana lipid genes (Additional file 1: Table S8), and 341 had tight corelationships with these homologous lipid genes (R ≥ 0.9). GO term enrichment indicated that these genes had the molecular functions oxidoreductase activity, iron ion binding, lipid transport, catalytic activity, monooxygenase activity, lipid binding, haem binding, and electron carrier activity, which indicated that they acted mainly in oxidation-reduction and lipid metabolic processes (Additional file 1: Table S9).

Notably, 23 DEGs were commonly detected during seed development (Figs. 4a and 5a, Additional file 1: Table S10). These genes were the core candidate genes for the high oil content or were responsible for oil biosynthesis. Of them, genes SIN_1007513 and SIN_1019175 were homologous to the lipid genes AT2G30490.1 and AT3G51590.1 of A. thaliana, respectively, and belonged to the cinnamate 4-hydroxylase and lipid transfer protein type 1 gene families. SIN_1023684 was annotated as a plant lipid transfer protein and functioned in the biological process lipid transport (GO: 0006869). SIN_1027091 encoded a lipase and was involved in lipid metabolic process (GO: 0006629). SIN_1014194, SIN_1024090 and SIN_1027099 were all upregulated in the high oil content sesame (Fig. 4c) and should be novel genes, because no public reference information was available for them. Quantitative RT-PCR confirmed the expression differences of the above seven genes (Fig. 5).

Fig. 5

Expression patterns of the core candidate genes for high oil content. a Expression patterns of the 23 common DEGs in the seed between the high and low oil content sesames. b-h Quantitative RT–PCR validation of 7 candidate genes for high oil content, including SIN_1024090, SIN_1014194, SIN_1007513, SIN_1027099, SIN_1027091, SIN_1023684 and SIN_1019175. Pink bars represented the high oil content sesame, and blue bars represented the low oil content sesames

Sesame seeds and carpels cooperated in oil accumulation

Because sesame seed is embedded in carpels, the relationship between the two tissues in carbohydrates and other nutrients transport is interesting. Across the different stages, it showed there 6994 and 10,565 genes were commonly expressed in the sesame seeds and carpels, respectively (Additional file 2: Figures S2 and S3), and 90.8% of the common genes in the seed were also included in the carpel set. The function analysis found that the two gene sets were enriched in 147 and 170 GO terms, respectively, with 109 of them shared by the two tissues (Fig. 6a). This finding indicates that the seed and carpel have similar biological processes or cooperate tightly during their development, especially in transport, catabolic process and small molecule metabolic process (Additional file 1: Table S11). Further evidence for cooperation between the seeds and carpel was observed in some gene networks. For example, COPII is a type of vesicle coat protein that functions to transport proteins from the rough endoplasmic reticulum to the Golgi apparatus [19, 20]. Although typically the genes for the COPII vesicle coat were enriched in the sesame carpels, the endoplasmic reticulum and Golgi apparatus were found to be shared by the two tissues.

Fig. 6

The relationships between the seed and carpel during development. a The shared and special GO terms of the expressed genes in the two tissues. b Numbers of the shared DEGs between HO and the two low oil content sesames in the carpels at different stages. c The shared and special pathways of the DEGs between the high and low oil content sesames in the two tissues

Regarding the DEGs in the carpels between the high and low oil content sesames (Fig. 6b), many of the DEGs shared the biological processes of the seeds, such as biosynthesis of secondary metabolites, phenylpropanoid biosynthesis, and flavonoid biosynthesis (Fig. 6c). However, generally the reactions related to lipid biosynthesis, including galactose, fatty acid, and linoleic acid metabolism, were highlighted in the seed, and the ATP-binding cassette (ABC) transporters, cutin, suberine and wax biosynthesis, and plant-pathogen interaction were detected in the carpels. ABC transporters constitute a ubiquitous superfamily of integral membrane proteins that are responsible for translocation of a diverse assortment of substrates ranging from ions to macromolecules, including lipids, across membranes [21], which may improve the ability of HO to transport carbon to the seed for lipid biosynthesis. For the 55 DEGs that were common between the high and low oil content sesame carpels (Additional file 1: Table S12, in Additional file 2: Figure S4), five genes (SIN_1021544, SIN_1000367, SIN_1016456, SIN_1000428 and SIN_1014194) were also included in the 23 common DEGs, as mentioned above. According to their homologs in A. thaliana, the first three genes were predicted to function in many tissues with multiple physiological and biochemical roles [22,23,24], although the functions of SIN_1000428 and SIN_1014194 are still unclear. To summarize, these results suggest that the seed and carpel cooperate tightly during oil biosynthesis.


The key stages for increased oil accumulation

After pollination, the sesame ovary takes approximately 30 to 40 days to mature, and most cultivars exhibit a rapid increase in the accumulation of oil and other nutrients from 10 DPA that reaches a peak at approximately 30 DPA [25,26,27]. During the seed development stages, many metabolic reactions take place to enable the biosynthesis and accumulation of metabolites, which result in the final seed composition of approximately 55% oil, 20% protein and other components. The active gene numbers plus the DEGs between the high and low oil content sesames showed that 20 DPA was the vigorous development stage for both the seed and carpel, with more genes upregulated in the high oil content sesame. However, most of these genes were not related to lipid biosynthesis directly. In contrast, the pathways related to lipid biosynthesis were significantly enriched and regulated in HO at 30 DPA, especially those for FA biosynthesis. The FA chain length (up to 18 carbons) and the level of saturated FAs are determined by the FA synthesis pathway, which needs glycolysis with hexose and/or triose as the predominant carbohydrate to deliver carbon for FA synthesis by entering the plastid [17]. Thus, the former stages (before 25 DPA) prepare substrates for FA and TAG biosynthesis in the later stages. Thus, the gene expression patterns were consistent with oil accumulation, and 30 DPA was the key stage for increased oil biosynthesis.

Sesame homologous lipid genes for high oil content

The de novo assembly of TAG from glycerol-3-phosphate (Gly3P) and acyl-CoAs begins with the export of free FAs from the plastid. The first acylation of Gly3P at the sn-1 position is catalysed by GPAT and LPAAT to form LPA, followed by PAP, and a third acylation is performed by DGAT [17, 28], which is known as the Kennedy pathway [29]. ACCase, ACP, PDAT, and PDCT are also involved in the process. These genes are very important and act as rate-limiting steps for TAG or lipid biosynthesis in other plants [9, 18]. For example, ACCase was reported to be the first rate-limiting enzyme in the de novo synthesis of fatty acid by catalysis of acetyl-CoA carboxylation to form malonyl-CoA [30]. The study showed that the GPAT and DGAT genes in the pathway were significantly differentially expressed between the high and low oil content sesames in both tissues (seed and carpel), whereas ACCase, ACP, PDAT, PDCT and LPAAT were only differentially expressed in the seed. These genes may represent the key lipid homologous genes that shape the high or low oil content in the sesame. However, because fewer studies on sesame lipid genes are available, the functions of these genes (except for PDAT and DGAT, which have been reported to be related to sesame oil content variation) still need further evidence.

Another important homologous lipid genes is that encoding LTP. LTP is known to interact with a variety of different lipids and to facilitate the movement of lipids between membranes by binding them [31]. Based on their molecular sizes and sequence similarity, the LTP genes are classified into types (i.e., LTP1, LTP2, LTP3 and so on) [32]. In a previous study, expansion of the LTP1 gene family was predicted to shape the characteristics of sesame with a high oil content, and a genome wide association study showed that some LTP genes regulated oil content variation [8]. Here, SIN_1019175 and SIN_1019172 were LTP1-encoding genes, and SIN_1010009 belonged to LTP5. These genes are also believed to be beneficial for more oil accumulation through efficient lipid transport.

The novel candidate genes related to oil biosynthesis in the sesame

For the dominant proportions of oil in the sesame seed, a great number of genes are believed to participate and regulate its transport and biosynthesis. A previous study showed that sesame had 708 lipid homologous genes, which was less than that of other oil crops, such as Glycine max (1298) [6], Arachis hypogaea (1500 unigenes) [33, 34], and Brassica napus (2229) [35], and was also less than that of the model plant A. thaliana (737). Among the 708 predicted homologous lipid genes in the sesame, 139 were expressed at a low level. The study determined that 805 genes might be related to the high and low oil content in the sesame, of which 341 were correlated to lipid homologous genes. In particular, 23 genes were associated with the high and low oil content variation based on their expression patterns, suggesting their potential roles in lipid accumulation in combination with their function annotations. These genes will be targets for a future genetic study and verification using other functional methods.

Methods to increase the sesame oil content

Unlike the seeds of rapeseed and soybean, sesame seeds are free of chlorophyll from initiate to maturity like Fig. 1a displayed, thus its photosynthetic capacity is limited, and can barely fix carbon for tissue substance biosynthesis [36]. Thus, cooperation between the carpel and seed is necessary for oil biosynthesis and substance accumulation, which involves many processes [9, 37]. Here, we showed that 64.1 to 74.1% of the enriched GO terms that functioned through seed and carpel development were shared by the two tissues. The DEGs between the high and low oil content sesames as well as the enriched pathways were predominantly shared by the seed and carpel. These results suggest tight cooperation between the sesame seed and carpel for oil biosynthesis.

Plant breeders and metabolic engineers have tried to increase oil production in seeds for decades. The strategies have mainly relied on increasing the supply of upstream substrates (source control) and the ‘sink’ strength in the last steps of the TAG metabolic pathways [17]. The first strategy not only includes strengthening of substrate biosynthesis but also the flux or transport capability to the next step in the lipid metabolic pathway. The strategies have been successful applied in maize and soybean [38,39,40]. In the present study, generally metabolism using starch and sucrose as the substrates was strengthened in both the carpel and seed from 10 to 25 DPA. The LTP1 to LTP5 gene families and ABC transporters, which function to increase the transport capability of the substrate flux, were also observed to be strengthened in the seed or carpel of HO compared to that of the low oil content sesame. In future studies, genetic manipulation of these genes together with other key genes may be an efficient method to improve the sesame seed oil content.


The study of 22 sesame seed and carpel transcriptomes revealed the gene expression profiles during sesame seed and carpel development from 10 to 30 DPA and found that the high oil content sesame was more active than the low oil content sesames with more upregulated genes. Additionally, the later development stage played a pivotal role in the increased oil accumulation. In addition to the known rating-limit lipid genes, 805 sesame homologous lipid genes plus other genes that were differentially expressed between the high and low oil content varieties were predicted to be involved in the regulation of sesame oil content variations. In particular, 23 of these genes were considered as the core candidate genes and warrant further validation. The study also illustrated tight cooperation between sesame seeds and carpels during seed development and oil biosynthesis according to the gene expression patterns and their functions. Collectively, the study has uncovered the key stages and the candidate genes that shape high and low oil content sesames, which can be used to breed genetically improved sesame varieties with a high oil content.



The three sesame varieties (ZZM4728, ZZM3495 and ZZM2161, numbered HO, LOA and LOB, respectively) (Additional file 1: Table S1) used in the study were provided by the National Sesame Medium-Term Genebank (Wuhan, China). The oil content of ZZM2161 and ZZM3495 is low (48.4 and 50.95% of their seed weight, respectively). ZZM4728 is a high oil content variety with a percentage of 59.1.

Planting and sampling

The three varieties were planted under the same growth and experimental conditions. Flowers were tagged every five days post-anthesis six times. The capsules at 10, 20, 25 and 30 DPA were sampled from 10 plants for each variety (Fig. 1a), and then the seeds and carpels were separated on ice. The seeds or carpels from different plants were mixed equally and used to represent the samples at 10, 20, 25 and 30 DPA.

RNA extraction and library preparation

The carpels of ZZM2161and ZZM3495 at 30 DPA were too old to be used for RNA extraction. Finally, 22 samples were obtained and subjected to RNA-seq analysis (Additional file 1: Table S1). HOS, LOAS and LOBS represented the seeds and HOC, LOAC and LOBC represented the carpels of the three varieties, respectively. RNA extraction and sequencing were performed according to the procedure described by Wang et al. [41]. Briefly, total RNA was extracted from these samples with the TRIzol reagent (Invitrogen Corp.), and the mRNA was purified from the total RNA using the Oligotex mRNA Midi Kit (Qiagen, Germany). The mRNA quantity and quality were evaluated with the ND-1000 NanoDrop spectrometer (NanoDrop Technologies, USA) and a 2% denatured agarose gel. Then, these RNAs were transcribed into double-stranded cDNAs using the SMART cDNA Library Construction kit (Clontech, USA) following the manufacturer’s protocol. Adapters were ligated to the targeted fragments, and suitable fragments (200 ± 25 bp) were selected for PCR amplification. The short fragments were used for library construction for RNA-seq.

Data generation and quality assessment

The 22 cDNA libraries generated from the sesame seeds and carpels were subjected to paired-end sequencing using the Illumina Hiseq 2000 platform. The libraries were sequenced for paired-end reads of 90 bp. The base qualities of the RNA-seq reads were checked using the FastQC software ( to determine the bases. Paired-end reads containing more than 5% ambiguous residues (Ns) and those containing more than 10% bases with a Phred quality score of less 20 were removed. After cleaning and quality assessment, the remaining reads were referred to as “clean reads” [37]. Finally, 25.6–27.3 million clean reads with a 90-bp length were obtained for each sample (Additional file 1: Table S2). By setting the parameter that no more than one mismatch was allowed in the alignment, 67.7–87.7% of the clean reads were uniquely mapped to the sesame reference genome using SOAPaligner/SOAP2 [6, 42], with 50.3–70.7% of the reads uniquely mapping to the predicted gene model regions.

Statistical analysis of gene expression

The gene expression levels were calculated based on the read numbers that uniquely mapped to the sesame genome sequence [6] and were normalized to the number of Reads per Kilobase of transcript per Million mapped reads (RPKM) using the Cufflinks 2.0 software [43]. The differentially expressed genes (DEGs) were identified for some samples as described by Chen et al. [44] and Wang et al. [45]. The Poisson distribution [46] and false discovery rate (FDR) were used to determine the threshold P-value in multiple tests. Here, a FDR ≤ 0.001 and absolute value of log2Ratio ≥ 1 were used to determine the significance of the DEGs [47].

Gene annotation and enrichment analysis

GO (Gene Ontology, is an international standardized gene function classification system. KEGG (Kyoto Encyclopedia of Genes and Genomes, pathways represent knowledge of the molecular interaction and reaction networks. The target genes of the study were annotated with GO terms and metabolic pathways. The enrichment analyses were performed with R language packages according to Wang et al. [45]. The online tool GOSlimAuto was used to summarize the gene GO terms [48].

Homologous genes involved in lipid biosynthesis

The 736 acyl-lipid genes of A. thaliana were downloaded from Employing blastp (E-value <1e-5, identity > 30%), their homologous models in the sesame were predicted using the Reciprocal Best Blast Hit (RBH) method [49, 50]. These genes were sorted according to different cellular functions and gene families.

Real-time quantitative PCR (qRT-PCR)

The expression profiles of some genes were validated with RT-PCR referring to Wang et al. [45] with the LightCycler® 480II Real-Time PCR Detection System (Roche Diagnostics, Rotkreuz, Switzerland). Each sample was run in triplicate on the same plate with a negative control that lacked cDNA. The sesame actin7 gene was used as a positive control. The relative expression levels of the target genes were calculated using the 2-ΔΔCT method [51].



ATP-binding cassette


Acetyl-CoA carboxylase


Acyl carrier protein


Differentially expressed gene

DGAT: Acyl-CoA:

Diacylglycerol acyltransferase


Days post anthesis


Fatty acids


False discovery rate


Gene ontology


Glycerol-3-Phosphate Acyltransferase


Kyoto encyclopedia of genes and genomes


Lysophosphatidic acid acyltransferase


Lipid transfer protein gene family


Phospholipid diacylglycerol acyltransferase


Phosphatidylcholine:diacylglycerol cholinephosphotransferase


Reads per kilo base of exon model per million mapped reads




  1. 1.

    Bedigian D. History and lore of sesame in Southwest Asia. Econ Bot. 2004;58(3):329–53.

    Article  Google Scholar 

  2. 2.

    Uzun B, Arslan C, Furat S. Variation in fatty acid compositions, oil content and oil yield in a germplasm collection of sesame (Sesamum indicum L.). J Am Oil Chem Soc. 2008;85(12):1135–42.

    CAS  Article  Google Scholar 

  3. 3.

    Johnson LA, Suleiman TM, Lusas EW. Sesame protein: a review and prospectus. J Am Oil Chem Soc. 1979;56(3):463–8.

    CAS  Article  Google Scholar 

  4. 4.

    Lu CF, Napier JA, Clemente TE, Cahoon EB. New frontiers in oilseed biotechnology: meeting the global demand for vegetable oils for food, feed, biofuel, and industrial applications. Curr Opin Biotechnol. 2011;22(2):252–9.

    CAS  Article  Google Scholar 

  5. 5.

    Ingersent KA. World agriculture: towards 2015/2030 - an FAO perspective. J Agr Econ. 2003;54(3):513–5.

    Google Scholar 

  6. 6.

    Wang L, Yu S, Tong C, Zhao Y, Liu Y, Song C, Zhang Y, Zhang X, Wang Y, Hua W, et al. Genome sequencing of the high oil crop sesame provides insight into oil biosynthesis. Genome Biol. 2014;15(2):R39.

    Article  Google Scholar 

  7. 7.

    Wang LH, Yu S, Tong CB, Zhao YZ, Liu Y, Song C, Zhang YX, Zhang XD, Wang Y, Hua W, et al. Genome sequencing of the high oil crop sesame provides insight into oil biosynthesis. Genome Biol. 2014;15(2).

    Article  Google Scholar 

  8. 8.

    Wei X, Liu K, Zhang Y, Feng Q, Wang L, Zhao Y, Li D, Zhao Q, Zhu X, Li W, et al. Genetic discovery for oil production and quality in sesame. Nat Commun. 2015;6:8609.

    CAS  Article  Google Scholar 

  9. 9.

    Li-Beisson Y, Shorrosh B, Beisson F, Andersson MX, Arondel V, Bates PD, Baud S, Bird D, Debono A, Durrett TP, et al. Acyl-lipid metabolism. Arabidopsis Book. 2013;11:e0161.

    Article  Google Scholar 

  10. 10.

    Shockey J, Regmi A, Cotton K, Adhikari N, Browse J, Bates PD. Identification of Arabidopsis GPAT9 (At5g60620) as an essential gene involved in triacylglycerol biosynthesis. Plant Physiol. 2016;170(1):163–79.

    CAS  Article  Google Scholar 

  11. 11.

    Wickramarathna AD, Siloto RM, Mietkiewska E, Singer SD, Pan X, Weselake RJ. Heterologous expression of flax Phospholipid: Diacylglycerol Cholinephosphotransferase (PDCT) increases polyunsaturated fatty acid content in yeast and Arabidopsis seeds. BMC Biotechnol. 2015;15:63.

    Article  Google Scholar 

  12. 12.

    Dahlqvist A, Stahl U, Lenman M, Banas A, Lee M, Sandager L, Ronne H, Stymne S. Phospholipid:diacylglycerol acyltransferase: an enzyme that catalyzes the acyl-CoA-independent formation of triacylglycerol in yeast and plants. Proc Natl Acad Sci U S A. 2000;97(12):6487–92.

    CAS  Article  Google Scholar 

  13. 13.

    Dyer JM, Mullen RT. Engineering plant oils as high-value industrial feedstocks for biorefining: the need for underpinning cell biology research. Physiol Plant. 2008;132(1):11–22.

    CAS  PubMed  Google Scholar 

  14. 14.

    McGlew K, Shaw V, Zhang M, Kim RJ, Yang WL, Shorrosh B, Suh MC, Ohlrogge J. An annotated database of Arabidopsis mutants of acyl lipid metabolism. Plant Cell Rep. 2015;34(4):519–32.

    CAS  Article  Google Scholar 

  15. 15.

    Beisson F, Koo AJK, Ruuska S, Schwender J, Pollard M, Thelen JJ, Paddock T, Salas JJ, Savage L, Milcamps A, et al. Arabidopsis genes involved in acyl lipid metabolism. A 2003 census of the candidates, a study of the distribution of expressed sequence tags in organs, and a web-based database. Plant Physiol. 2003;132(2):681–97.

    CAS  Article  Google Scholar 

  16. 16.

    Tan H, Yang X, Zhang F, Zheng X, Qu C, Mu J, Fu F, Li J, Guan R, Zhang H, et al. Enhanced seed oil production in canola by conditional expression of Brassica napus LEAFY COTYLEDON1 and LEC1-LIKE in developing seeds. Plant Physiol. 2011;156(3):1577–88.

    CAS  Article  Google Scholar 

  17. 17.

    Bates PD, Stymne S, Ohlrogge J. Biochemical pathways in seed oil synthesis. Curr Opin Plant Biol. 2013;16(3):358–64.

    CAS  Article  Google Scholar 

  18. 18.

    Abdullah HM, Akbari P, Paulose B, Schnell D, Qi W, Park Y, Pareek A, Dhankher OP. Transcriptome profiling of Camelina sativa to identify genes involved in triacylglycerol biosynthesis and accumulation in the developing seeds. Biotechnol Biofuels. 2016;9:136.

    Article  Google Scholar 

  19. 19.

    Lee MCS, Miller EA. Molecular mechanisms of COPII vesicle formation. Semin Cell Dev Biol. 2007;18(4):424–34.

    CAS  Article  Google Scholar 

  20. 20.

    Hughes H, Stephens DJ. Assembly, organization, and function of the COPII coat. Histochem Cell Biol. 2008;129(2):129–51.

    CAS  Article  Google Scholar 

  21. 21.

    Rees DC, Johnson E, Lewinson O. ABC transporters: the power to change. Nat Rev Mol Cell Biol. 2009;10(3):218–27.

    CAS  Article  Google Scholar 

  22. 22.

    Chen N, Yang Q, Pan L, Chi X, Chen M, Hu D, Yang Z, Wang T, Wang M, Yu S. Identification of 30 MYB transcription factor genes and analysis of their expression during abiotic stress in peanut (Arachis hypogaea L.). Gene. 2014;533(1):332–45.

    CAS  Article  Google Scholar 

  23. 23.

    Vlastaridis P, Papakyriakou A, Chaliotis A, Stratikos E, Oliver SG, Amoutzias GD. The pivotal role of protein phosphorylation in the control of yeast central metabolism. G3 (Bethesda). 2017;7(4):1239–49.

    CAS  Article  Google Scholar 

  24. 24.

    Polit JT, Ciereszko I. Sucrose synthase activity and carbohydrates content in relation to phosphorylation status of Vicia faba root meristems during reactivation from sugar depletion. J Plant Physiol. 2012;169(16):1597–606.

    CAS  Article  Google Scholar 

  25. 25.

    Ke T, Dong C, Mao H, Zhao Y, Chen H, Liu H, Dong X, Tong C, Liu S. Analysis of expression sequence tags from a full-length-enriched cDNA library of developing sesame seeds (Sesamum indicum). BMC Plant Biol. 2011;11:180.

    CAS  Article  Google Scholar 

  26. 26.

    Li XD, Ling X, Wu G, Wu YH, Zhang XR, Lu CM. Accumulation pattern of fatty acids during the seed development of sesame (Sesamum indicum L.) (in Chinese). Chinese J Oil Crop Sci. 2008;30(1):84–9.

    CAS  Google Scholar 

  27. 27.

    Zhang X, Sun J, Huo L. Growth characteristics of sesame capsules and seeds. Chinese J Oil Crop Sci. 2007;29(3):291–6.

    Google Scholar 

  28. 28.

    Liu F, Xia Y, Wu L, Fu D, Hayward A, Luo J, Yan X, Xiong X, Fu P, Wu G, et al. Enhanced seed oil content by overexpressing genes related to triacylglyceride synthesis. Gene. 2015;557(2):163–71.

    CAS  Article  Google Scholar 

  29. 29.

    Kennedy EP. Biosynthesis of complex lipids. Fed Proc. 1961;20:934–40.

    CAS  PubMed  Google Scholar 

  30. 30.

    Galdieri L, Vancura A. Acetyl-CoA carboxylase regulates global histone acetylation. J Biol Chem. 2012;287(28):23865–76.

    CAS  Article  Google Scholar 

  31. 31.

    Liu F, Zhang X, Lu C, Zeng X, Li Y, Fu D, Wu G. Non-specific lipid transfer proteins in plants: presenting new advances and an integrated functional analysis. J Exp Bot. 2015;66(19):5663–81.

    CAS  Article  Google Scholar 

  32. 32.

    Salminen TA, Blomqvist K, Edqvist J. Lipid transfer proteins: classification, nomenclature, structure, and function. Planta. 2016;244(5):971–97.

    CAS  Article  Google Scholar 

  33. 33.

    Yu M, Liu F, Zhu W, Sun M, Liu J, Li X. New features of triacylglycerol biosynthetic pathways of peanut seeds in early developmental stages. Funct Integr Genomics. 2015;15(6):707–16.

    CAS  Article  Google Scholar 

  34. 34.

    Yin D, Wang Y, Zhang X, Li H, Lu X, Zhang J, Zhang W, Chen S. De novo assembly of the peanut (Arachis hypogaea L.) seed transcriptome revealed candidate unigenes for oil accumulation pathways. PLoS One. 2013;8(9):e73767.

    CAS  Article  Google Scholar 

  35. 35.

    Chalhoub B, Denoeud F, Liu S, Parkin IA, Tang H, Wang X, Chiquet J, Belcram H, Tong C, Samans B, et al. Plant genetics. Early allopolyploid evolution in the post-Neolithic Brassica napus oilseed genome. Science. 2014;345(6199):950–3.

    CAS  Article  Google Scholar 

  36. 36.

    Hua W, Li RJ, Zhan GM, Liu J, Li J, Wang XF, Liu GH, Wang HZ. Maternal control of seed oil content in Brassica napus: the role of silique wall photosynthesis. Plant J. 2012;69(3):432–44.

    CAS  Article  Google Scholar 

  37. 37.

    Yang F, Li WS, Jorgensen HJL. Transcriptional reprogramming of wheat and the Hemibiotrophic pathogen Septoria tritici during two phases of the compatible interaction. PLoS One. 2013;8(11).

    Article  Google Scholar 

  38. 38.

    Shen B, Allen WB, Zheng P, Li C, Glassman K, Ranch J, Nubel D, Tarczynski MC. Expression of ZmLEC1 and ZmWRI1 increases seed oil production in maize. Plant Physiol. 2010;153(3):980–7.

    CAS  Article  Google Scholar 

  39. 39.

    Lardizabal K, Effertz R, Levering C, Mai J, Pedroso MC, Jury T, Aasen E, Gruys K, Bennett K. Expression of Umbelopsis ramanniana DGAT2A in seed increases oil in soybean. Plant Physiol. 2008;148(1):89–96.

    CAS  Article  Google Scholar 

  40. 40.

    Taylor DC, Zhang Y, Kumar A, Francis T, Giblin EM, Barton DL, Ferrie JR, Laroche A, Shah S, Zhu W, et al. Molecular modification of triacylglycerol accumulation by over-expression of DGAT1 to produce canola with increased seed oil content under field conditions. Botany-Botanique. 2009;87(6):533–43.

    CAS  Article  Google Scholar 

  41. 41.

    Wang LH, Li DH, Zhang YX, Gao Y, Yu JY, Wei X, Zhang XR. Tolerant and susceptible sesame genotypes reveal waterlogging stress response patterns. PLoS One. 2016;11(3).

    Article  Google Scholar 

  42. 42.

    Li R, Zhu H, Ruan J, Qian W, Fang X, Shi Z, Li Y, Li S, Shan G, Kristiansen K, et al. De novo assembly of human genomes with massively parallel short read sequencing. Genome Res. 2010;20(2):265–72.

    CAS  Article  Google Scholar 

  43. 43.

    Trapnell C, Williams BA, Pertea G, Mortazavi A, Kwan G, van Baren MJ, Salzberg SL, Wold BJ, Pachter L. Transcript assembly and quantification by RNA-Seq reveals unannotated transcripts and isoform switching during cell differentiation. Nat Biotechnol. 2010;28(5):511–5.

    CAS  Article  Google Scholar 

  44. 44.

    Chen S, Yang P, Jiang F, Wei Y, Ma Z, Kang L. De novo analysis of transcriptome dynamics in the migratory locust during the development of phase traits. PLoS One. 2010;5(12):e15633.

    CAS  Article  Google Scholar 

  45. 45.

    Wang L, Zhang Y, Qi X, Li D, Wei W, Zhang X. Global gene expression responses to waterlogging in roots of sesame (Sesamum indicum L.). Acta Physiol Plant. 2012;34(6):2241–9.

    Article  Google Scholar 

  46. 46.

    Audic S, Claverie JM. The significance of digital gene expression profiles. Genome Res. 1997;7(10):986–95.

    CAS  Article  Google Scholar 

  47. 47.

    Mortazavi A, Williams BA, McCue K, Schaeffer L, Wold B. Mapping and quantifying mammalian transcriptomes by RNA-Seq. Nat Meth. 2008;5(7):621–8.

    CAS  Article  Google Scholar 

  48. 48.

    McCarthy FM, Gresham CR, Buza TJ, Chouvarine P, Pillai LR, Kumar R, Ozkan S, Wang H, Manda P, Arick T, et al. AgBase: supporting functional modeling in agricultural organisms. Nucleic Acids Res. 2011;39(Database issue):D497–506.

    CAS  Article  Google Scholar 

  49. 49.

    Moreno-Hagelsieb G, Latimer K. Choosing BLAST options for better detection of orthologs as reciprocal best hits. Bioinformatics. 2008;24(3):319–24.

    CAS  Article  Google Scholar 

  50. 50.

    Koonin EV. Orthologs, paralogs, and evolutionary genomics. Annu Rev Genet. 2005;39:309–38.

    CAS  Article  Google Scholar 

  51. 51.

    Livak KJ, Schmittgen TD. Analysis of relative gene expression data using real-time quantitative PCR and the 2(−Delta Delta C(T)) method. Methods. 2001;25(4):402–8.

    CAS  Article  Google Scholar 

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We thank BGI-Shenzhen colleagues for sequencing the samples and providing technical assistance in bioinformatics.


The study were supported by the Agricultural Science and Technology Innovation Project of the Chinese Academy of Agricultural Sciences (CAAS-ASTIP-2013-OCRI), the Science and Technology Innovation Project of Hubei province (201620000001048), Wuhan cutting-edge application technology fund (2018020401011303), and the Fundamental Research Funds for Central Non-profit Scientific Institution (1610172017003).

Availability of data and materials

The RNA-seq data sets supporting the results of this article were submitted to GeneBank with SRA accession numbers SRR6010084~SRR6010093 and SRX396185~SRX396196. Sesame genome data was available at

Author information




XRZ and LHW contributed to the design of the research. DHL and YXZ prepared plant samples. LHW, RZ and JYY participated in sequencing and data analysis. LHW, KD and MLW performed statistical analysis and wrote the manuscript. All authors read and approved the final manuscript.

Corresponding author

Correspondence to Xiurong Zhang.

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Additional files

Additional file 1:

Table S1. Materials and samples; Table S2. Overview of the generated data; Table S3. The total expressed genes with a RPKM greater than 5; Table S4. The enriched KEGG pathways of the DEGs between HO and LO in the seeds and carpels at different stages; Table S5. The 254 DEGs for more than one stage between HOS and LOAS/LOBS; Table S6. The 79 DEGs for more than one stage between HOC and LOAC/LOBC; Table S7. The 11 upregulated lipid homologous genes; Table S8. The 805 DEGS that appeared in two or more stages between the high and low oil content sesames; Table S9. The enriched GO terms for the 45 lipid homologous genes and 341 co-expressed genes; Table S10. Function annotation of the 23 core DEGs in the seed between the HO and LO sesames; Table S11. Shared and special enriched GO terms in the seeds and carpels; Table S12. Function annotation of the 55 core DEGs in the capsule between the HO and LO sesames. (XLSX 68 kb)

Additional file 2:

Clustering of the 22 samples based on gene expression; Figure S2. Unique and shared expressed genes in the seeds of the high and low oil content sesames; Figure S3. Special and shared expressed genes in the carpels of the high and low oil content sesames; Figure S4. The shared DEGs between the high and low oil content sesames at different stages in the carpels. (DOCX 2298 kb)

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Wang, L., Zhang, Y., Li, D. et al. Gene expression profiles that shape high and low oil content sesames. BMC Genet 20, 45 (2019).

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  • Sesamum indicum
  • Seed
  • Carpel
  • Oil content
  • Gene
  • Expression profiling