Transcriptome analysis reveals unique C4-like photosynthesis and oil body formation in an arachidonic acid-rich microalga Myrmecia incisa Reisigl H4301
© Ouyang et al.; licensee BioMed Central Ltd. 2013
Received: 6 January 2013
Accepted: 6 June 2013
Published: 13 June 2013
Arachidonic acid (ArA) is important for human health because it is one of the major components of mammalian brain membrane phospholipids. The interest in ArA inspired the search for a new sustainable source, and the green microalga Myrmecia incisa Reisigl H4301 has been found a potential ArA-producer due to a high content of intracellular ArA. To gain more molecular information about metabolism pathways, including the biosynthesis of ArA in the non-model microalga, a transcriptomic analysis was performed.
The 454 pyrosequencing generated 371,740 high-quality reads, which were assembled into 51,908 unique sequences consisting of 22,749 contigs and 29,159 singletons. A total of 11,873 unique sequences were annotated through BLAST analysis, and 3,733 were assigned to Gene Ontology (GO) categories. Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis uncovered a C4-like photosynthesis pathway in M. incisa. The biosynthesis pathways of lipid particularly those of ArA and triacylglycerol (TAG) were analyzed in detail, and TAG was proposed to be accumulated in oil bodies in the cytosol with the help of caleosin or oil globule-associated proteins. In addition, the carotenoid biosynthesis pathways are discussed.
This transcriptomic analysis of M. incisa enabled a global understanding of mechanisms involved in photosynthesis, de novo biosynthesis of ArA, metabolism of carotenoids, and accumulation of TAG in M. incisa. These findings provided a molecular basis for the research and possibly economic exploitation of this ArA-rich microalga.
KeywordsMyrmecia incisa Reisigl H4301 454 Pyrosequencing C4-Like photosynthesis Arachidonic acid Microalga Lipid metabolism Oil body Carotenoids
Arachidonic acid (ArA, 20:4Δ5, 8, 11, 14), an ω-6 long-chain polyunsaturated fatty acid (PUFA), is one of the major components of mammalian brain membrane phospholipids. It makes up approximately 20% of the total fatty acids along with docosahexaenoic acid (22:6ω3, DHA) in the brain . In addition, ArA is an important precursor for the biosynthesis of diverse eicosanoids, such as prostaglandins, leukotrienes and thromboxanes, which play important roles in smooth muscle stimulation, platelet aggregation control and the release of histamine during anaphylactic shock and other allergic reactions . ArA deficiencies have been associated with neuro-visual development disorders and other premature birth complications [3–6]. ArA is therefore considered an essential nutrient in addition to DHA during early infant development and is suggested to be added into baby formula by the Food and Agriculture Organization (FAO). Besides, carotenoids are essential nutrients and important health beneficial compounds with respect to their antioxidant properties and ability to alleviate chronic diseases . Human beings are mostly incapable to synthesize carotenoids de novo, therefore, they rely upon diet to obtain these compounds.
ArA can be commercially obtained from marine fish oil, animal tissues and fungi . Interest in ArA and other long-chain PUFAs inspired the search for new PUFA sources. Myrmecia incisa Reisigl H4301, a coccoid green microalga species of Trebouxiophyceae , has recently been reported to accumulate an unprecedentedly high amount of ArA-rich triacylglycerols (TAG) in cytoplasmic lipid bodies . When M. incisa was cultured under nitrogen starvation for 27 d, its ArA content increased from 1.9% to 7.0% of dry weight (DW) biomass and 76% of the intracellular ArA accumulated in the form of neutral lipids . In addition, carotenoids content increased as well under nitrogen starvation in Parietochloris incisa (synonym with M. incisa[11, 12]) . Thus, M. incisa may be a potential resource for both ArA and carotenoids exploitation.
There are two pathways proposed in microalgae for ArA biosynthesis [14–16]. The understanding of ArA biosynthesis pathway in M. incisa, thus, is first of all for the improvement of ArA level. Therefore, genes encoding fatty acid desaturases and elongase of this microalga have been characterized, and some routes were determined by heterologous expression of these genes in model organisms [10, 17–19]. Carotenogenesis pathways in microalgae are similar to those in higher plants on one hand, and possess microalgae-specific features on the other hand . Some common carotenogenesis genes have been identified in microalgae [20–22], whereas the molecular information for carotenoids biosynthesis in M. incisa is rather limited [10, 11].
Expressed sequence tag (EST) analysis is the primary tool for novel gene discovery, particularly in non-model organisms for which full genome sequencing is not economically feasible. By using Sanger sequencing, a cDNA library from M. incisa generated only 595 unique sequences from 1,854 readable ESTs with little information of interest . In contrast to this sequencing method, next-generation sequencing (NGS) technologies have led to a revolution in genomics and genetics and provided cheaper and faster delivery of sequencing information [23, 24]. Currently, the newest 454 pyrosequencing platform, GS FLX Titanium, is one of the most widely used NGS technologies for the de novo sequencing and analysis of transcriptome in both the model organism of microalga, Chlamydomonas reinhardtii and non-model ones including Alexandrium tamarense CCMP1598 , Botryococcus braunii BOT-88-2 , Botryococcus braunii BOT-22 , Dunaliella tertiolecta UTEX LB 999  and Oxyrrhis marina.
In this paper, the 454 pyrosequencing method was used to gain more insight into the M. incisa metabolism pathways. Global transcriptome analysis revealed a C4-like photosynthesis pathway and a detailed lipid metabolism pathway. Furthermore, the identification of sequences coding for caleosin and oil globule-associated protein in the transcriptome of M. incisa provided evidence for accumulation of TAG in the form of oil body. Finally, the disclosure of the genes involved in the biosynthesis of carotenoids in M. incisa may favor the commercial exploitation of this algal resource in addition to ArA production.
Results and discussion
454 pyrosequencing and de novoassembly
Summary of the transcriptome characteristics of M. incisa
Number of raw reads
Average nucleotide length of raw reads (bp)
Number of HQ reads
Average nucleotide length of HQ reads (bp)
Number of unique sequences
Average nucleotide length of unique sequences (bp)
642 ± 438
299 ± 98
Unique sequences with BLAST matches
Unique sequences annotated with GO and KEGG pathways
Unique sequences assigned with EC numbers
454 pyrosequencing comparison between M. incisa and other microalgae
Number of raw reads
Number of HQ reads
Percentage of HQ reads
Average length of HQ reads (bp)
Number of contigs
Number of unique sequences
Myrmecia incisa H4301
Botryococcus braunii BOT-88-2
Botryococcus braunii BOT-22
Dunaliella tertiolecta UTEX LB 999
A total of 7,361 contigs (32.36% of total contigs) and 4,512 singletons (15.47% of total singletons) had significant BLAST matches from selection of the best hits against Swiss-Prot, GenBank database and JGI Genome Portal at an e-value ≤ 10-3 (Table 1). The percent of annotated contigs was consistent with the 20% to 40% of the values previously reported for de novo eukaryotic transcriptome assemblies [32–34].
However, this analysis only provided a general concept for the function of these unique sequences but no assignment for the metabolic pathways that they are involved in. For further detailed understanding, unique sequences were then analyzed for KO identifiers using the KEGG database.
Pathway assignment by KEGG
Functional classification and pathway assignment was performed using KEGG with the annotated unique sequences. As shown in Additional file 1, the relatively complete pathways that the unique sequences were assigned to were related to translation, replication and repair, amino acid metabolism and energy and substance metabolism including glycolysis, the TCA cycle, pyruvate metabolism, photosynthesis, carbon fixation, starch and sucrose metabolism, arachidonic acid metabolism, glycerolipid metabolism and carotenoid biosynthesis. Particular attention focused on the biosynthesis pathways of ArA-rich TAG and carotenoids because M. incisa had the potential to accumulate these compounds, particularly under nitrogen starvation [10, 13]. Interestingly, the assigned photosynthesis pathway suggested that M. incisa possessed some unique features for the carbon concentrating mechanism (CCM) as described below.
The C4-like photosynthesis pathway in M. incisa
The central carboxylation enzyme for CO2 fixation during photosynthesis is named ribulose-1, 5- bisphosphate carboxylase/oxygenase (RubisCO), but its affinity to CO2 is low . To solve this problem, some plants, including several microalgae, such as Phaeodactylum tricornutum, Thalassiosira pseudonana, Ostreococcus tauri and Micromonas sp. , have developed a C4-like photosynthesis pathway in addition to the biophysical CCM [bicarbonate transport and external or intercellular carbonic anhydrase (CA, EC 22.214.171.124)].
Based on the transcriptome analysis, it is interesting to find that M. incisa possibly possesses a C4-like photosynthesis pathway during the CCM. Several unique sequences encoding phosphoenolpyruvate carboxylase (PEPC, EC 126.96.36.199), phosphoenolpyruvate carboxykinase (PPCK, EC 188.8.131.52) and pyruvate orthophosphate dikinase (PPDK, EC 184.108.40.206) were identified (Additional file 2). Each of these enzymes is necessary for C4-metabolism. Three unique sequences encoding PEPC have been identified, including one that is 3,932 bp long with 71% amino acid identity with Coccomyxa subellipsoidea C-169 [GenBank: EIE27459]. In addition, the putative protein sequence of this identified unique sequence revealed a PEP binding site, an HCO3- trapping site and a C-terminal tetrapeptide QNTG [41, 42]. Subcellular localization analysis predicted that this PEPC possesses neither a signal nor transit peptide (Additional file 2), suggesting that it may function within the cytosol to produce oxaloacetic acid (OAA).
On the one hand, OAA is assumed to be transaminated to aspartate (Asp) by Asp aminotransferase (AAT, EC 220.127.116.11) . In fact, AAT can catalyze the reversible transfer of OAA and glutamate to Asp and α-ketoglutarate. Eight unique sequences were identified to encode AAT, and one was cytoplasmic and another was mitochondrial (Additional file 2). The transaminated product in the cytosol, Asp, is subsequently imported into mitochondria via an Asp-glutamate carrier, which is important in malate/Asp cycle . One unique sequence in this transcriptome has been identified to have 53% identity with a mitochondrial isoform [GenBank: BAC84529] from Oryza sativa. Once Asp is transported into mitochondria, the mitochondrial AAT functions to regenerate OAA, which is then decarboxylated to PEP by a mitochondria-localized PPCK. Afterwards, the PEP may be converted to pyruvate with the concomitant phosphorylation of ADP to ATP by pyruvate kinase (PK, EC 18.104.22.168) catalysis. A NAD-dependent malate dehydrogenase (MDH-NAD+, EC 22.214.171.124) with a predicted mitochondrial transit peptide and its downstream enzyme NAD-dependent malic enzyme (ME-NAD+, EC 126.96.36.199), which has 46% identity with the mitochondrial ME-NAD+ [GenBank: XP_002265765] from Vitis vinifera, were identified (Additional file 2). The resulting pyruvate from these two OAA decarboxylation pathways could participate in the TCA cycle.
In summary, the identification of the crucial enzymes of C4-like photosynthesis, such as PEPC, PPCK and PPDK, and the transporters highlighted the CCM in M. incisa. It possesses both CA (Additional file 2) and a C4-like photosynthesis pathway, thus enabling it to adapt to a low CO2 level habitat. It is another microalga in Chlorophyta with a C4-like CCM besides Ostreococcus tauri and Micromonas sp. .
De novosynthesis of fatty acids
In all plants, palmitic (16:0) and oleic acid (18:1) are almost exclusively de novo synthesized in chloroplasts via the key precursor acetyl-coenzyme A (acetyl-CoA) . There are two possible processes for supplying acetyl-CoA: one is directly from plastid pyruvate through the catalysis of pyruvate dehydrogenase/decarboxylase (PDH, EC 188.8.131.52), and the other is an indirect regeneration from the imported mitochondrial acetate through the catalysis of acetyl-CoA synthetase (ACS, EC 184.108.40.206) in plastid. The generation of acetate in mitochondria begins as pyruvate with acetyl-CoA as an intermediate and is sequentially catalyzed by mitochondrial PDH and acetyl-CoA hydrolase (ACH, EC 220.127.116.11) . Based on transcriptome analysis, unique sequences encoding chloroplastic and mitochondrial PDH have been successfully identified (Figure 5). In addition, the putative mitochondrial ACH and chloroplastic ACS were identified (Additional file 2), demonstrating consistency with the description by Harwood .
The carbon chain condensation reaction begins with acetyl-CoA via the initial catalysis by acetyl-CoA carboxylase (ACC, EC 18.104.22.168). The generated malonyl-CoA is subsequently converted into malonyl-acyl carrier protein (malonyl-ACP) by malonyl-CoA:ACP transacylase (MAT, EC 22.214.171.124), and the product, malonyl-ACP, participates in whole fatty acid synthesis as an all-important source of 2C units. To complete the following series of condensation reactions, 3-ketoacyl-ACP synthase (KAS), 3-oxoacyl ACP reductase (KAR, EC 126.96.36.199), 3-hydroxyoctanoyl-ACP dehydratase (HAD, EC 188.8.131.52) and enoyl-ACP reductase (EAR, EC 184.108.40.206) are involved. During this course, three condensing enzymes, KASI, KASII and KASIII, play different roles . It has been reported that the subunits of KASI and KASII dimers are encoded by two closely related plastid genes . However, KASI extends the carbon chain length from 4C to 16C during six rounds of 2C elongation, whereas KASII elongates palmitate (16:0) to stearate (18:0). KASIII, which is distinct from KASI and KASII and is found in all plants , catalyzes the initial condensation reaction using acetyl-CoA rather than acetyl-ACP as a substrate for plant fatty acid synthesis (Figure 5). In M. incisa, at least one putative unique sequence of each type of KAS was identified, suggesting that carbon chain condensation reactions in this alga are the same as that in most plants.
After the formation of ACP-bound 18:0, the first double bond is introduced via the catalysis of stearoyl-ACP desaturase (SAD, EC 220.127.116.11). This enzyme, which is present in the plastids of higher plants and algae, is the only soluble Δ9 desaturase [50, 51]. In this transcriptome, one SAD-coding unique sequence with 65% homology with plastid acyl-ACP desaturase from Coccomyxa subellipsoidea C-169 [GenBank: EIE22226] was identified. Products of fatty acid de novo biosynthesis, ACP-bound 16:0 and 18:1Δ9 may subsequently constitute the biomembrane as a structural component or be exported into endoplasmic reticulum (ER) for the biosynthesis of ArA as a storage lipid (Figure 5).
Biosynthesis of ArA and TAG
In eukaryotic algae, most of the desaturation of fatty acids is catalyzed by acyl-lipid desaturases rather than by acyl-ACP desaturase. In chloroplasts, glycolipids, which mostly include monogalactosyldiacylglycerol (MGDG), serve as substrates for chloroplastic Δ12 (Δ12D, EC 18.104.22.168) and ω3 desaturases. In this study, several unique sequences encoding putative chloroplastic Δ12D and ω3 desaturases, which the latter has been confirmed to be Δ15 desaturase (Δ15D, EC 1.14.19.-) , were identified. In addition, a full-length cDNA sequence of MGDG-specific palmitate Δ7 desaturase (Δ7D, EC 1.14.99.-), which is involved in desaturation leading to the formation of 16:1Δ7, was also identified in this transcriptome. The biosynthesis of PUFAs taking place in the ER is similar to that in chloroplasts with the exception of those utilizing phospholipids, i.e., phosphatidylcholine (PC), as substrates (Figure 5). During the culture of M. incisa, a comparison of fatty acid content between complete and nitrogen-deficient medium suggested a possible biosynthesis pathway for ArA, which begins with 18:1Δ9 with 18:2Δ9, 12, 18:3Δ6, 9, 12 and 20:3Δ8, 11, 14 as successive intermediates. In this process, the ER-harbored Δ12D, Δ6 desaturase (Δ6D, EC 22.214.171.124), Δ6 elongase (Δ6E, EC 6.21.3.-) and Δ5 desaturase (Δ5D, EC1.14.99.-) were involved; the genes encoding these enzymes have been cloned as well . The result of this study and the cloned genes again confirmed the presence of an ArA biosynthesis pathway in this microalga. Moreover, three other Δ5D-coding unique sequences were identified in this transcriptome (Additional file 2). Although the subcellular localization of the other Δ5D was unpredictable due to incomplete sequences, these sequences provided further information for the investigation of ArA and other PUFA biosynthesis. The capacity of PUFAs may enhance the fluidity of the phospholipid membrane, which makes it possible for M. incisa to withstand chilling or cold stress .
A previous study has reported that most of the intracellular ArA was accumulated in the form of TAG in M. incisa, particularly during nitrogen starvation . During the accumulation process, glycerol-3-phosphate (G-3-P) and acyl-CoA serve as primary substrates in the Kennedy pathway (Figure 5). One of the substrates, G-3-P, is generated by glycolysis or the catalysis of free glycerol by glycerol kinase (GLK, EC 126.96.36.199). However, sequence coding for GLK was not identified in this study. The other substrate, acyl-CoA, is generated via the esterification of free fatty acids exported from chloroplasts with CoA. These two substances are acylated by a series of acyltransferases including the initial glycerol 3-phosphate acyltransferase (GPAT, E.C: 188.8.131.52). This enzyme catalyzes the acylation of the sn-1 position of G-3-P to produce 1-acyl-sn-glycerol-3-phosphate (LPA) . The sn-2 position of LPA is acylated by 1-acyl-sn-glycerol-3-phosphate acyltransferase (LPAAT, EC 184.108.40.206) to generate phosphatidic acid (PA). Unique GPAT- and LPAAT-coding sequences were identified in the M. incisa transcriptome. Subcellular localization prediction analysis demonstrated that GPAT might target chloroplasts, whereas the localization of LPAAT was unknown due to the lack of a complete sequence (Additional file 2). PA is subsequently converted into either diacylglycerol (DAG) by phosphatidic acid phosphatase (PAP, EC 220.127.116.11) or cytidine diphosphate-diacylglycerol (CDP-DAG) by phosphatidate cytidylyltransferase (EC 18.104.22.168), and these two types of lipids alternately generate various phospholipids. The storage lipid, TAG, is either formed via an acyl-CoA-dependent reaction or an acyl-CoA-independent reaction, and both of them use DAG as an acyl-acceptor. The acyl-CoA-dependent reaction, which is catalyzed by diacylglycerol acyltransferase (DGAT, EC 22.214.171.124), uses fatty acid acyl-CoAs as acyl donors, whereas the acyl-CoA-independent reaction is mainly catalyzed by a phospholipid:diacylglycerol acyltransferase (PDAT, EC 126.96.36.199) uses PC as acyl donors instead. DGAT has two homologs, DGAT1 and DGAT2, and their coding genes belong to the cholesterol acyltransferase gene family and the monoacylglycerol acyltransferase gene family, respectively. In M. incisa, there are five unique sequences encoding DGAT, three were identified as DGAT1, and the rest were identified as DGAT2 (Additional file 2). In algae, membrane lipids, including photosynthetic ones, rapidly degrade with the accumulation of cytosolic TAG-enriched lipid bodies when cells encounter stress . If a PDAT orthologue was identified, particularly in chloroplasts, then it is conceivable that PC or even galactolipids may be utilized as acyl donors in TAG synthesis . Three unique sequences coding for PDAT in this transcriptome were all partial sequences; thus, subcellular localization could not be predicted. However, this finding has already demonstrated that M. incisa is able to convert these membrane lipids into storage TAG.
M. incisa has been reported to be able to accumulate TAG in densely packed oil bodies . Oil bodies in higher plant seeds are the most prominent and well studied [55–57]. They are spherical organelles consisting of neutral lipids enclosed by a semi-layer membrane of phospholipids coated with proteins (Figure 5). Thus far, only two proteins associated with oil bodies have been well described: oleosin and caleosin. Oleosins are mostly found in higher plants and are thought to be important for oil body stabilization in the cytosol, while caleosins are thought to be ubiquitous in higher plants and algae and play an important role particularly in oil body degradation during seed germination [58, 59]. In Chlamydomonas reinhardtii, oleosin-like and caleosin-like genes were identified in the genome, whereas the relevant proteins were not identified by proteomic analysis . Two unique sequences encoding caleosin with an EF-hand domain were identified, whereas none of the oleosin coding unique sequences were identified in this ArA-rich microalga (Additional file 2), thus implying this caleosin may play an important role in oil body formation. In addition, two unique sequences encoding oil globule-associated proteins were identified (Additional file 2), which may also be related to oil body formation. However, the functional characteristics of these two genes coding for caleosin and oil globule-associated protein need further studies.
Degradation of the storage lipid TAG plays an important role in the reconstruction of the cytoplasmic membranes of organisms grown under favorable conditions. The complete TAG degradation process includes a series of hydrolysis reactions via lipase . This reaction begins with the release of fatty acids from the sn-3 or sn-1 positions of TAG to form DAG by triacylglycerol lipase (TAGL, EC 188.8.131.52). DAG is subsequently hydrolyzed into a fatty acid and 2-monoacylglycerol (2-MAG) via the catalysis of diacylglycerol lipase (DAGL, EC 3.1.1.-). Isomerization of the latter product to 1(3)-monoacyl-sn-glycerols occurs to some extent, and these may be completely degraded to glycerol and free fatty acids by monoacylglycerol lipase (MAGL, EC 184.108.40.206) (Additional file 3). The α- and β-type DAGL and TAGL-coding unique sequences were identified in this transcriptome (Additional file 2). It is worth mentioning that caleosin, as indicated above, may also play a role in TAG degradation in M. incisa according to previous reports about seed development .
In summary, all of the identified enzymes described above provide evidence for a better global understanding of the lipid metabolism process in M. incisa (Figure 5 and Additional file 3), though further study is needed to confirm their functional characteristics.
Biosynthesis of carotenoids
In the past two decades, great advancements have been made in studies of carotenoid metabolism in higher plants and algae . The entire biosynthesis process can be divided into the following major steps: (1) isopentenyl diphosphate (IPP) synthesis; (2) enzymatic phytoene formation reactions; (3) the desaturation (dehydrogenation) of phytoene to lycopene; (4) cyclization and the formation of α- and β-carotenes; and (5) the synthesis of carotenes derivatives .
There are two suggested pathways for IPP synthesis: the acetate-mevalonate pathway beginning with acetate in cytosol and the phosphoglyceraldehyde-pyruvate pathway beginning with pyruvate in chloroplasts . There are no identified unique sequences encoding mevalonate kinase (MVK, EC 220.127.116.11), phosphomevalonate kinase (PMVK, EC 18.104.22.168) or mevalonate pyrophosphate decarboxylase (MPD, EC 22.214.171.124), which are all required for the former pathway. In contrast, most of enzyme-coding genes involved in the latter pathway have been identified, and they encode 1-deoxy-D-xylulose 5-phosphate synthase (DXS, EC 126.96.36.199), 1-deoxy-D-xylulose 5-phosphate reductoisomerase (DXR, EC 188.8.131.527), 4-(cytidine 5’-diphospho)-2-C-methyl-D-erythritol kinase (CMK, EC 184.108.40.206), 2-C-methyl-D-erythritol 2,4-cyclodiphosphate synthase (MCS, EC 220.127.116.11) and 1-hydroxy-2-methyl-2-(E)-butenyl 4-diphosphate synthase (HDS, EC 18.104.22.168). However, several unique sequences encoding the rest of the enzymes, including 2-C-methyl-D-erythritol 4-phosphate cytidyltransferase (CMS, EC 22.214.171.124) and 1-hydroxy-2-methyl-2-(E)-butenyl 4-diphosphate reductase (HDR, EC 126.96.36.199) in this pathway, were unfortunately missed (Additional file 4). It appears that M. incisa may utilize glucose as the sole carbon source to synthesize carotenoids, which is the same as that in Chlorella and Scenedesmus.
Products generated from the first step include IPP and dimethylallyl diphosphate (DMAPP), which may be interconverted by the catalysis of IPP isomerase (IPPi, EC 188.8.131.52). The condensation of three IPP molecules and one DMAPP molecule (Additional file 4) is catalyzed by geranyl diphosphate synthase (GPPS, EC 184.108.40.206), farnesyl diphosphate synthase (FPPS, EC 220.127.116.11) and geranyl-geranyl diphosphate synthase (GGPPS, EC 18.104.22.168) in a step-by-step manner to generate geranyl-geranyl diphosphate (GGPP). In addition to being the precursor for carotenoids, GGPP is also the precursor of several other groups of metabolites including chlorophylls, ubiquinones and tocopherols. Therefore, following the condensation of two molecules of GGPP by phytoene synthase (PSY, EC 22.214.171.124) to form phytoene is a committed step in carotenoid biosynthesis. Phytoene subsequently undergoes four steps to form lycopene by the sequential catalysis of phytoene desaturase (PDS, EC 126.96.36.199), ζ-carotene desaturase (ZDS, EC 188.8.131.52), ζ-carotene isomerase (ZISO, EC 184.108.40.206) and carotenoid isomerase (CRTISO, EC 220.127.116.11). In M. incisa, all of the enzymes except ZISO that are described in the lycopene formation process were successfully identified (Additional file 2).
Lycopene is an important intermediate in the biosynthesis of carotenoids, including β-carotene, which is responsible for yellow, orange or red pigments, photosynthesis and photo-protection in photosynthetic organisms. The cyclization of the lycopene catalyzed by lycopene ϵ- and β-cyclases is a critical branch-point in carotenoid biosynthesis . In one branch, a single enzyme, lycopene β-cyclase (β-CYC, EC 18.104.22.168), introduces a β-ring at both ends of lycopene to form β-carotene in a sequential two-step reaction, while in the other branch, lycopene introduces one ϵ- and one β-ring at each end via ϵ-CYC (EC 22.214.171.124) followed by β-CYC to form α-carotene. Unique sequences encoding ϵ-CYC and β-CYC were identified (Additional file 2), suggesting that the biosynthesis pathway of β-carotene and α-carotene is present in M. incisa. β-Carotene can be hydroxylated by β-carotene hydroxylase (BCH, EC 126.96.36.199) in a two-step reaction to zeaxanthin with β-cryptoxanthin as an intermediate. In green tissues, zeaxanthin can be epoxidized to violaxanthin, and a set of light- and dark-controlled reactions known as the xanthophyll cycle rapidly optimizes the violaxanthin and zeaxanthin concentrations in the cell via the action of zeaxanthin epoxidase (ZEP, EC 188.8.131.52) and violaxanthin de-epoxidase (VDE, EC 184.108.40.206), respectively . In this transcriptome, unique sequences that encode BCH, ZEP and VDE were identified (Additional file 2). M. incisa is able to biosynthesize high-value carotenoids including, at the least, the α- and β-carotenes and zeaxanthin and violaxanthin. β-carotene is a precursor for vitamin A biosynthesis, which is important for growth and maintenance of the immune system and good vision [66, 67], and zeaxanthin and violaxanthin are usually used as food colourant. Due to this, further exploitation of this ArA-rich green microalga could be valuable.
In this study, 454 pyrosequencing provided a global understanding of the biosynthesis pathway in the non-model organism M. incisa. Based on the identified unique sequences and the subcellular localization of relevant proteins, a C4-like photosynthetic pathway was found to exist in M. incisa that enables this microalga to survive under low ambient CO2[38, 68]. Nearly all unique sequences related to de novo ArA biosynthesis and TAG accumulation were successfully identified, thus demonstrating a more detailed lipid metabolism pathway. Furthermore, the identified unique sequences coding for PDAT, caleosin and oil globule-associated proteins helped to elucidate the mechanism of rapid accumulation and oil body formation of TAG under nitrogen starvation. In addition, the suggested carotenoid biosynthesis pathway enabled us to exploit this resource in addition to ArA production. All these unique sequences described above require functional identification prior to be used for genetically manipulating to enhance products of interest in further study.
Algal species and culture
The microalga Myrmecia incisa Reisigl H4301 was commercially provided by the Culture Collection Algae of Charles University of Prague (CAUP). A cell line isolated from this alga under a microscope was incubated in BG-11 medium in 800-mL glass flasks, which were placed in a temperature-regulated photoincubator at 25°C and illuminated from the side with a light:dark regime of 12 h:12 h using cool-white fluorescent Philips tubes (36 W) (Yizheng, Jiangsu, China) at a light irradiance of 115 μmol photons m-2 s-1. During the culture, the flasks were shaken by hand several times every day at regular intervals. Algal cells were harvested with a centrifuge at 5,000 rpm in the late logarithmic growth phase and washed three times with nitrogen-free fresh BG-11 medium in which ferric ammonium citrate was substituted with ferric citrate. Subsequently, the algal cells were incubated under the mentioned conditions in fresh, nitrogen-free medium for an additional two days before harvest. The samples were washed with fresh medium without the addition of nitrogen, mixed together and stored in liquid nitrogen for total RNA extraction after centrifugation.
RNA extraction and mRNA purification
The frozen samples were ground with a pestle and mortar in liquid nitrogen, and the total RNA was then extracted using the TRIzol reagent (Invitrogen, USA) according to the manufacturer’s protocol. Total RNA was dissolved in 200 μL of RNase-free water. The total RNA concentration was determined by NanoDrop (Thermo Scientific, USA), and the RNA integrity value was evaluated using an RNA 6000 Pico LabChip Agilent 2100 Bioanalyzer (Agilent, USA).
Total RNA was incubated with 10 units of DNase I (Ambion, USA) at 37°C for 1 h, and nuclease-free water was added to bring the sample volume to 250 μL. Messenger RNA was further purified with the MicroPoly (A) Purist Kit (Ambion, USA) following the manufacturer’s protocol. The mRNA was dissolved in 100 μL of RNA Storage Solution. The final concentration was determined using a NanoDrop.
cDNA library construction and 454 pyrosequencing
Double-stranded cDNA was synthesized from mRNA according to Ng’s full-length cDNA synthesis protocol, with some modifications as described below . A GsuI-oligo dT primer was used to prime first-strand cDNA synthesis from 10 μg of mRNA using 1000 units of Superscript II reverse transcriptase (Invitrogen). After incubation at 42°C for 1 h, the 5’-CAP structure of the mRNA was oxidized by NaIO4 (Sigma, USA) and ligated to biotin hydrazide (Sigma, USA), which was used to select complete mRNA/cDNA by binding with Dynal M280 beads (Invitrogen). After second-strand cDNA synthesis, the poly A and 5’-adaptor was deleted by GsuI digestion.
Complementary DNA size fractionation was performed using a cDNA size fractionation column (Agencourt, USA). Each cDNA fraction larger than 800 bp was sonicated to 300–800 bp and then pooled with the other cDNA samples ranging from 300 bp to 800 bp. The prepared cDNAs were transformed into single-stranded template DNA (sstDNA) libraries using the GS DNA Library Preparation kit (Roche Applied Science).
Single-stranded template DNA libraries were clonally amplified in bead-immobilized form by using the GS emPCR kit (Roche Applied Science, USA) and sequenced on the 454 Genome Sequencer FLX System (Roche Diagnostic, USA).
Using the SeqClean software (http://compbio.dfci.harvard.edu/tgi/software), low-quality (Q-value 20), low-complexity (poly A) and adaptor sequences were trimmed from the reads generated by the FLX sequencer and the qualified reads were then submitted to the CAP3 program  for clustering and assembly using default parameters. All unique sequences were deposited in the SRA of the National Center for Biotechnology Information (NCBI).
The open reading frame of each contig or singleton was identified using an in-house developed program based on ‘GetORF’ from EMBOSS with the parameters below: table = 0, minsize = 90 . Gene annotation was performed using a BLASTp search against the Swiss-Prot and GenBank database with an E-value cutoff of 1×10-3 and BLASTx against the JGI Genome Portal with an E-value cutoff of 1×10-3 as well. The best gene annotation result was chosen by the two following principles: 1). the annotation with a clear functional description was firstly chosen; 2). the annotation with the best blast result (considering alignment coverage and identity) was chosen. Gene ontology (GO) analysis was performed using GoPipe  via BLASTP against the Swiss-Prot and TrEMBL databases with an E-value cutoff of 1×10-3. The GI accessions of the best hits were retrieved, and the GO accessions were mapped to GO terms according to the molecular function, biological process and cellular component ontologies (http://www.geneontology.org/). A metabolic pathway was constructed based on the Kyoto Encyclopedia of Genes and Genomes (KEGG) database using the BBH (bi-directional best hit) method . The analysis initially retrieved the KEGG orthology (KO) number for each protein, and metabolic pathways were then constructed based on the KO number. Targeting prediction was performed using TargetP 1.1 Server (http://genome.cbs.dtu.dk/services/TargetP/) and SignalP 4.1 Server (http://genome.cbs.dtu.dk/services/SignalP/).
Polyunsaturated fatty acid
Expressed sequence tag
Kyoto encyclopedia of genes and genomes
Ribulose-1,5- bisphosphate carboxylase/oxygenase
Carbon concentrating mechanism
This research was supported by the National Natural Science Foundation of China (31172389 and 30972243), the Special Project of Marine Renewable Energy from the State Oceanic Administration (SHME2011SW02), Shanghai Universities First-class Discipline Project of Marine Sciences and an Excellent Thesis Grant from Shanghai Ocean University.
- Crawford MA, Sinclair AJ: Nutritional influences in the evolution of mammalian brain. Lipids, malnutrition and the developing brain. Edited by: Elliott K, Knight J. 1972, London: Associated Scientific Publishers, 267-292.Google Scholar
- Lee JY, Hwang DH: Dietary fatty acids and eicosanoids. Fatty Acids in Foods and Their Health Implications. Edited by: Chow CK. 2008, Boca Raton: CRC press, 713-726. 3Google Scholar
- Innis SM: Essential fatty acids in growth and development. Prog Lipid Res. 1991, 30 (1): 39-103. 10.1016/0163-7827(91)90006-Q.View ArticlePubMedGoogle Scholar
- Carlson SE, Werkman SH, Peeples JM, Cooke RJ, Tolley EA: Arachidonic acid status correlates with first year growth in preterm infants. Proc Natl Acad Sci U S A. 1993, 90 (3): 1073-1077. 10.1073/pnas.90.3.1073.PubMed CentralView ArticlePubMedGoogle Scholar
- Crawford MA, Costeloe K, Ghebremeskel K, Phylactos A, Skirvin L, Stacey F: Are deficits of arachidonic and docosahexaenoic acids responsible for the neural and vascular complications of preterm babies?. Am J Clin Nutr. 1997, 66 (Suppl 4): 1032S-1041S.PubMedGoogle Scholar
- Lauritzen L, Hansen HS, Jørgensen MH, Michaelsen KF: The essentiality of long chain n-3 fatty acids in relation to development and function of brain and retina. Prog Lipid Res. 2001, 40 (1–2): 1-94.View ArticlePubMedGoogle Scholar
- Fraser PD, Bramley PM: The biosynthesis and nutritional uses of carotenoids. Prog Lipid Res. 2004, 43 (3): 228-265. 10.1016/j.plipres.2003.10.002.View ArticlePubMedGoogle Scholar
- Gill I, Valivety R: Polyunsaturated fatty acids, part 1: occurrence, biological activities and applications. Trends Biotechnol. 1997, 15 (10): 401-409. 10.1016/S0167-7799(97)01076-7.View ArticlePubMedGoogle Scholar
- Reisigl H: Zur systematik und ökologie alpiner Bodenalgen. Österr Bot Z. 1964, 111 (4): 402-499. 10.1007/BF01372910. (in German)View ArticleGoogle Scholar
- Ouyang L-L, Li H, Liu F, Tong M, Yu SY, Zhou Z-G: Accumulation of arachidonic acid in a green microalga, Myrmecia incisa H4301, enhanced by nitrogen starvation and its molecular regulation mechanisms. Arachidonic Acid: Dietary Sources and General Functions. Edited by: Dumancas GG, Murdianti BS, Lucas EA. 2013, New York: NOVA Science Publishers, Inc, 1-20.Google Scholar
- Ouyang L-L, Du DH, Yu SY, Li CY, Zhang CW, Gao HJ, Zhou Z-G: Expressed sequence tags (ESTs) analysis revealing the taxonomic position and fatty acid synthesis of an oleaginous green microalga, Myrmecia incisa Reisigl (Trebouxiophyceae, Chlorophyta). Chin Sci Bull. 2012, 57 (25): 3342-3352. 10.1007/s11434-012-5159-2.View ArticleGoogle Scholar
- Watanabe S, Hirabayashi S, Boussiba S, Cohen Z, Vonshak A, Richmond A: Parietochloris incisa comb. nov. (Trebouxiophyceae, Chlorophyta). Phycol Res. 1996, 44 (2): 107-108. 10.1111/j.1440-1835.1996.tb00383.x.View ArticleGoogle Scholar
- Merzlyak MN, Chivkunova OB, Gorelova OA, Reshetnikova IV, Solovchenko AE, Khozin-Goldberg I, Cohen Z: Effect of nitrogen starvation on optical properties, pigments and arachidonic acid content of the unicellular green alga Parietochloris incisa (Trebouxiophyceae, Chlorophyta). J Phycol. 2007, 43 (4): 833-843. 10.1111/j.1529-8817.2007.00375.x.View ArticleGoogle Scholar
- Nichols BW, Appleby RS: The distribution of arachidonic acid in algae. Phytochemistry. 1969, 8 (10): 1907-1915. 10.1016/S0031-9422(00)88075-9.View ArticleGoogle Scholar
- Shiran D, Khozin I, Heimer YM, Cohen Z: Biosynthesis of eicosapentaenoic acid in the microalga Porphyridium cruentum. I: The use of externally supplied fatty acids. Lipids. 1996, 31 (12): 1277-1282. 10.1007/BF02587913.View ArticlePubMedGoogle Scholar
- Khozin I, Adlerstein D, Bigogno C, Heimer YM, Cohen Z: Elucidation of the biosynthesis of eicosapentaenoic acid in the microalga Porphyridium cruentum. Plant Physiol. 1997, 114 (1): 223-230.PubMed CentralPubMedGoogle Scholar
- Yu SY, Li H, Tong M, Ouyang L-L, Zhou Z-G: Identification of a Δ6 fatty acid elongase gene for arachidonic acid biosynthesis localized to the endoplasmic reticulum in the green microalga Myrmecia incisa Reisigl. Gene. 2012, 493 (2): 219-227. 10.1016/j.gene.2011.11.053.View ArticlePubMedGoogle Scholar
- Li H, Ouyang L-L, Zhou Z-G: Low-temperature-induced expression of a ω3 fatty acid desaturase gene (ω3FAD) from Myrmecia incisa in Saccharomyces cerevisiae. J Agric Biotechnol. 2012, 20 (7): 735-744. (in Chinese)Google Scholar
- Liu F, Li H, Li CY, Ouyang L-L, Zhou Z-G: Characterization of several fatty acid desaturase (FAD) genes in Myrmecia incisa and their relative transcription affected by nitrogen starvation. J Fish Sci China. 2012, 19 (5): 729-740. (in Chinese)Google Scholar
- Takaichi S: Carotenoids in algae: distributions, biosyntheses and functions. Mar Drugs. 2011, 9 (6): 1101-1118.PubMed CentralView ArticlePubMedGoogle Scholar
- Bertrand M: Carotenoid biosynthesis in diatoms. Photosynth Res. 2010, 106 (1–2): 89-102.View ArticlePubMedGoogle Scholar
- Capa-Robles W, Paniagua-Michel J, Soto JO: The biosynthesis and accumulation of beta-carotene in Dunaliella salina proceed via the glyceraldehyde 3-phosphate/pyruvate pathway. Nat Prod Res. 2009, 23 (11): 1021-1028. 10.1080/14786410802689689.View ArticlePubMedGoogle Scholar
- Mardis ER: The impact of next-generation sequencing technology on genetics. Trends Genet. 2008, 24 (3): 133-141. 10.1016/j.tig.2007.12.007.View ArticlePubMedGoogle Scholar
- Morozova O, Marra MA: Applications of next-generation sequencing technologies in functional genomics. Genomics. 2008, 92 (5): 255-264. 10.1016/j.ygeno.2008.07.001.View ArticlePubMedGoogle Scholar
- Miller R, Wu G, Deshpande RR, Vieler A, Gärtner K, Li X, Moellering ER, Zäuner S, Cornish AJ, Liu B, et al: Changes in transcript abundance in Chlamydomonas reinhardtii following nitrogen deprivation predict diversion of metabolism. Plant Physiol. 2010, 154 (4): 1737-1752. 10.1104/pp.110.165159.PubMed CentralView ArticlePubMedGoogle Scholar
- Moustafa A, Evans AN, Kulis DM, Hackett JD, Erdner DL, Anderson DM, Bhattacharya D: Transcriptome profiling of a toxic dinoflagellate reveals a gene-rich protist and a potential impact on gene expression due to bacterial presence. PLoS One. 2010, 5 (3): e9688-10.1371/journal.pone.0009688.PubMed CentralView ArticlePubMedGoogle Scholar
- Baba M, Ioki M, Nakajima N, Shiraiwa Y, Watanabe MM: Transcriptome analysis of an oil-rich race A strain of Botryococcus braunii (BOT-88-2) by de novo assembly of pyrosequencing cDNA reads. Bioresour Technol. 2012, 109: 282-286.View ArticlePubMedGoogle Scholar
- Ioki M, Baba M, Nakajima N, Shiraiwa Y, Watanabe MM: Transcriptome analysis of an oil-rich race B strain of Botryococcus braunii (BOT-22) by de novo assembly of pyrosequencing cDNA reads. Bioresour Technol. 2012, 109: 292-296.View ArticlePubMedGoogle Scholar
- Rismani-Yazdi H, Haznedaroglu BZ, Bibby K, Peccia J: Transcriptome sequencing and annotation of the microalgae Dunaliella tertiolecta: pathway description and gene discovery for production of next-generation biofuels. BMC Genomics. 2011, 12: 148-10.1186/1471-2164-12-148.PubMed CentralView ArticlePubMedGoogle Scholar
- Lowe CD, Mello LV, Samatar N, Martin LE, Montagnes DJS, Watts PC: The transcriptome of the novel dinoflagellate Oxyrrhis marina (Alveolata: Dinophyceae): response to salinity examined by 454 sequencing. BMC Genomics. 2011, 12: 519-10.1186/1471-2164-12-519.PubMed CentralView ArticlePubMedGoogle Scholar
- Huang X, Madan A: CAP3: A DNA sequence assembly program. Genome Res. 1999, 9 (9): 868-877. 10.1101/gr.9.9.868.PubMed CentralView ArticlePubMedGoogle Scholar
- Vera JC, Wheat CW, Fescemyer HW, Frilander MJ, Crawford DL, Hanski I, Marden JH: Rapid transcriptome characterization for a nonmodel organism using 454 pyrosequencing. Mol Ecol. 2008, 17 (7): 1636-1647. 10.1111/j.1365-294X.2008.03666.x.View ArticlePubMedGoogle Scholar
- Meyer E, Aglyamova GV, Wang S, Buchanan-Carter J, Abrego D, Colbourne JK, Willis BL, Matz MV: Sequencing and de novo analysis of a coral larval transcriptome using 454 GSFlx. BMC Genomics. 2009, 10: 219-10.1186/1471-2164-10-219.PubMed CentralView ArticlePubMedGoogle Scholar
- Wang H, Zhang H, Wong YH, Voolstra C, Ravasi T, Bajic VB, Quan P-Y: Rapid transcriptome and proteome profiling of a non-model marine invertebrate, Bugula neritina. Proteomics. 2010, 10 (16): 2972-2981. 10.1002/pmic.201000056.View ArticlePubMedGoogle Scholar
- Merchant SS, Prochnik SE, Vallon O, Harris EH, Karpowicz SJ, Witman GB, Terry A, Salamov A, Fritz-Laylin LK, Maréchal-Drouard L, et al: The Chlamydomonas genome reveals the evolution of key animal and plant functions. Science. 2007, 318 (5848): 245-250. 10.1126/science.1143609.PubMed CentralView ArticlePubMedGoogle Scholar
- Derelle E, Ferraz C, Rombauts S, Rouzé P, Worden AZ, Robbens S, Partensky F, Degroeve S, Echeynié S, Cooke R, et al: Genome analysis of the smallest free-living eukaryote Ostreococcus tauri unveils many unique features. Proc Natl Acad Sci U S A. 2006, 103 (31): 11647-11652. 10.1073/pnas.0604795103.PubMed CentralView ArticlePubMedGoogle Scholar
- Worden AZ, Lee J-H, Mock T, Rouzé P, Simmons MP, Aerts AL, Allen AE, Cuvelier ML, Derelle E, Everett MV, et al: Green evolution and dynamic adaptations revealed by genomes of the marine picoeukaryotes Micromonas. Science. 2009, 324 (5924): 268-272. 10.1126/science.1167222.View ArticlePubMedGoogle Scholar
- Giordano M, Beardall J, Raven JA: CO2 concentrating mechanism in algae: mechanisms, environmental modulation, and evolution. Annu Rev Plant Biol. 2005, 56: 99-131. 10.1146/annurev.arplant.56.032604.144052.View ArticlePubMedGoogle Scholar
- Kroth PG, Chiovitti A, Gruber A, Martin-Jezequel V, Mock T, Parker MS, Stanley MS, Kaplan A, Caron L, Weber T, et al: A model for carbohydrate metabolism in the diatom Phaeodactylum tricornutum deduced from comparative whole genome analysis. PLoS One. 2008, 3 (1): e1426-10.1371/journal.pone.0001426.PubMed CentralView ArticlePubMedGoogle Scholar
- Armbrust EV, Berges JA, Bowler C, Green BR, Martinez D, Putnam NH, Zhou S, Allen AE, Apt KE, Bechner M, et al: The genome of the diatom Thalassiosira pseudonana: ecology, evolution, and metabolism. Science. 2004, 306 (5693): 79-86. 10.1126/science.1101156.View ArticlePubMedGoogle Scholar
- Izui K, Matsumura H, Furumoto T, Kai Y: Phosphoenolpyruvate carboxylase: a new era of structural biology. Annu Rev Plant Biol. 2004, 55: 69-84. 10.1146/annurev.arplant.55.031903.141619.View ArticlePubMedGoogle Scholar
- Kai Y, Matsumura H, Izui K: Phosphoenolpyruvate carboxylase: three dimensional structure and molecular mechanisms. Arch Biochem Biophys. 2003, 414 (2): 170-179. 10.1016/S0003-9861(03)00170-X.View ArticlePubMedGoogle Scholar
- Andrews TJ, Johnson HS, Slack CR, Hatch MD: Malic enzyme and aminotransferases in relation to 3-phosphoglycerate formation in plants with the C4-dicarboxylic acid pathway of photosynthesis. Phytochemistry. 1971, 10 (9): 2005-2013. 10.1016/S0031-9422(00)97186-3.View ArticleGoogle Scholar
- LaNoue KF, Schoolwerth AC: Metabolite transport in mitochondria. Annu Rev Biochem. 1979, 48: 871-922. 10.1146/annurev.bi.48.070179.004255.View ArticlePubMedGoogle Scholar
- Slack CR, Hatch MD: Distribution of enzymes in mesophyll and parenchyma-sheath chloroplasts of maize leaves in relation to the C4-dicarboxylic acid pathway of photosynthesis. Biochem J. 1969, 114 (3): 489-498.PubMed CentralView ArticlePubMedGoogle Scholar
- Griffiths G, Stobart A: Fatty acid biosynthesis and triacylglycerol assembly. Handbook of Food Enzymology. Edited by: Whitaker JR, Voragen AGJ, Wong DWS. 2002, Boca Raton: CRC Press, 125-145.Google Scholar
- Harwood JL: Fatty acid biosynthesis. Plant Lipids: Biology, Utilisation and Manipulation. Edited by: Murphy DJ. 2005, Boca Raton: CRC Press, 27-66.Google Scholar
- Voelker T, Kinney AJ: Variations in the biosynthesis of seed-storage lipids. Annu Rev Plant Physiol Plant Mol Biol. 2001, 52: 355-361.View ArticleGoogle Scholar
- Walsh MC, Klopfenstein WE, Harwood JL: The short chain condensing enzyme has a widespread occurrence in the fatty acid synthetases from higher plants. Photochemistry. 1990, 29 (12): 3797-3799. 10.1016/0031-9422(90)85334-C.View ArticleGoogle Scholar
- Hildebrand DF, Yu K, McCracken C, Rao SS: Fatty acid manipulation. Plant Lipids: Biology, Utilisation and Manipulation. Edited by: Murphy DJ. 2005, Boca Raton: CRC Press, 67-102.Google Scholar
- Shanklin J, Somerville C: Stearoyl-acyl-carrier-protein desaturase from higher plants is structurally unrelated to the animal and fungal homologs. Proc Natl Acad Sci U S A. 1991, 88 (6): 2510-2514. 10.1073/pnas.88.6.2510.PubMed CentralView ArticlePubMedGoogle Scholar
- Murata N, Sato N, Takahashi N, Hamazaki Y: Composition and positional distribution of fatty acid in phospholipids from leaves of chilling sensitive and chilling-resistant plants. Plant Cell Physiol. 1982, 23 (6): 1071-1079.Google Scholar
- Roughan PG, Slack CR: Cellular organization of glycerolipid metabolism. Annu Rev Plant Physiol Plant Mol Biol. 1982, 33: 97-132. 10.1146/annurev.pp.33.060182.000525.View ArticleGoogle Scholar
- Hu Q, Sommerfeld M, Jarvis E, Ghirardi M, Posewitz M, Seibert M, Darzins A: Microalgal triacylglycerols as feedstocks for biofuel production: perspectives and advances. Plant J. 2008, 54 (4): 621-639. 10.1111/j.1365-313X.2008.03492.x.View ArticlePubMedGoogle Scholar
- Frandsen GI, Mundy J, Tzen JTC: Oil bodies and their associated proteins, oleosin and caleosin. Physiol Plant. 2003, 112 (3): 301-307.View ArticleGoogle Scholar
- Hsieh K, Huang AHC: Endoplasmic reticulum, oleosins, and oils in seeds and tapetum. Plant Physiol. 2004, 136 (3): 3427-3434. 10.1104/pp.104.051060.PubMed CentralView ArticlePubMedGoogle Scholar
- Huang AHC: Oil bodies and oleosins in seeds. Annu Rev Plant Physiol Mol Biol. 1992, 43: 177-200. 10.1146/annurev.pp.43.060192.001141.View ArticleGoogle Scholar
- Murphy DJ: Lipid-associated proteins. Plant Lipids: Biology, Utilisation and Manipulation. Edited by: Murphy DJ. 2005, Boca Raton: CRC Press, 226-258.Google Scholar
- Weselake RJ: Storage lipids. Plant Lipids: Biology, Utilisation and Manipulation. Edited by: Murphy DJ. 2005, Boca Raton: CRC Press, 162-225.Google Scholar
- James GO, Hocart CH, Hillier W, Chen H, Kordbacheh F, Price GD, Djordjevic MA: Fatty acid profiling of Chlamydomonas reinhardtii under nitrogen deprivation. Bioresour Technol. 2011, 102 (3): 3343-3351. 10.1016/j.biortech.2010.11.051.View ArticlePubMedGoogle Scholar
- Huang AHC: The biochemistry of plants. Lipids: Structure and Function. Edited by: Stumpf PK. 1987, Florida: Academic Press, 91-119.Google Scholar
- Lu S, Li L: Carotenoid metabolism: biosynthesis, regulation, and beyond. J Integr Plant Biol. 2008, 50 (7): 778-785. 10.1111/j.1744-7909.2008.00708.x.View ArticlePubMedGoogle Scholar
- Rohmer M: The discovery of a mevalonate-independent pathway for isoprenoid biosynthesis in bacteria, algae and higher plants. Nat Prod Rep. 1999, 16 (5): 565-574. 10.1039/a709175c.View ArticlePubMedGoogle Scholar
- Cazzonelli CI, Pogson BJ: Source to sink: Regulation of carotenoid biosynthesis in plants. Trends Plant Sci. 2010, 15 (5): 266-274. 10.1016/j.tplants.2010.02.003.View ArticlePubMedGoogle Scholar
- Demmig-Adams B, Adams WW: Antioxidants in photosynthesis and human nutrition. Science. 2002, 298 (5601): 2149-2153. 10.1126/science.1078002.View ArticlePubMedGoogle Scholar
- Van-Arnum SD: Vitamin A. Kirk-Othmer Encyclopedia of Chemical Technology, Volume 25. 1998, New York: John Wiley, 4Google Scholar
- Tanumihardjo SA: Vitamin A: biomarkers of nutrition for development. Am J Clin Nutr. 2011, 94 (2): 658S-665S. 10.3945/ajcn.110.005777.PubMed CentralView ArticlePubMedGoogle Scholar
- Reinfelder JR: Carbon concentrating mechanisms in eukaryotic marine phytoplankton. Annu Rev Plant Biol. 2011, 3: 291-315.Google Scholar
- Ng P, Wei CL, Sung WK, Chiu KP, Lipovich L, Ang CC, Gupta S, Shahab A, Ridwan A, Wong CH, et al: Gene identification signature (GIS) analysis for transcriptome characterization and genome annotation. Nat Methods. 2005, 2 (2): 105-111. 10.1038/nmeth733.View ArticlePubMedGoogle Scholar
- Rice P, Longden I, Bleasby A: EMBOSS: the European molecular biology open software suite. Trends Genet. 2000, 16 (6): 276-277. 10.1016/S0168-9525(00)02024-2.View ArticlePubMedGoogle Scholar
- Chen Z, Xue C, Zhu S, Zhou F, Ling XB, Liu G, Chen L: GoPipe: streamlined gene ontology annotation for batch anonymous sequences with statistics. Prog Biochem Biophys. 2005, 32 (2): 187-191.Google Scholar
- Kanehisa M, Goto S, Furumichi M, Tanabe M, Hirakawa M: KEGG for representation and analysis of molecular networks involving diseases and drugs. Nucleic Acids Res. 2010, 38 (Suppl 1): D355-D360.PubMed CentralView ArticlePubMedGoogle Scholar
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