Seagrass Metabolomics: A New Insight towards Marine Based Drug Discovery

Abstract

Metabolomics is one of the new field of “Omics” approach and the youngest triad of system biology, which provides a broad prospective of how metabolic networks are controlled and indeed emerged as a complementary tool to functional genomics with well-established technologies for genomics, transcriptomics and proteomics. Though, metabolite profiling has been carried out for decades, owing to decisive mechanism of a molecule regulation, the importance of some metabolites in human regimen and their use as diagnostic markers is now being recognized. Plant metabolomics therefore aims to highlight the characterization of metabolite pool of a plant tissue in response to its environment. Seagrassses, a paraphyletic group of marine hydrophilous angiosperms which evolved three to four times from land plants back to the sea. Seagrasses share a number of analogous acquired metabolic adaptations owing to their convergent evolution, but their secondary metabolism varied among the four families that can be considered as true seagrasses. From a chemotaxonomic point of view, numerous specialized metabolites have often been studied in seagrasses. Hence, this chapter focus the metabolome of seagrasses in order to explore their bioactive properties and the recent advancements adopted in analytical technology platforms to study the non-targeted metabolomics of seagrasses using OMICS approach.

1. Introduction

Over the past decades, metabolomics has emerged as a valuable tool for the comprehensive profiling and metabolic networks in the biological system. Pauling et al. [1] coined the term metabolomics which was first used in 1998 and even up to 2010 metabolomics was considered as an emerging one in the science field. Reports were documented on the complete genome ([2]; Yu et al., 2002), transcriptome [3] and proteome studies [4, 5, 6], but in recent years metabolome analyses using mass spectrometry (MS) - based platforms attracted attention. Even though, metabolite profiling have been carried out for decades, due to ultimate mechanism of a molecule regulation as constituents of metabolic pathways, the prominence of some metabolites in human regimen and their use as diagnostic markers is now being recognized [7].

Currently, metabolomics is a powerful tool for characterizing the metabolites and their metabolic pathways which provides a clear metabolic picture of biological samples. Metabolites are small molecules with diverse structures that are chemically transformed during the cellular metabolism [8]. The number of metabolites is expected to be significantly lowered than the number of genes, mRNAs and proteins which reduce the sample complexity. So far, the total number of metabolites in the plant kingdom is estimated to exist between 100000 to 200000, which make the task more challenging to detect more diverse group of metabolites [9]. Plant metabolomics therefore aims to highlight the characterization of metabolite pool of a plant tissue in response to its environment [10, 11, 12, 13]. Since, metabolomics is a balanced approach that obtains inclusive information on the cell’s, tissues or organisms metabolite content with low molecular weight, their configuration likely to be changed owing to diverse environmental conditions which reproduces different genetic background [14, 15].

Recent reports on the plant metabolome bought huge challenges to analytical technologies that have been used in current plant metabolomics programs. Some analytical approaches comprise metabolite profiling, metabolite target analysis and metabolite fingerprinting which can be employed according to focus of the research and research questions [16, 17]. Metabolite profiling does not certainly determine the absolute concentrations of metabolites; rather their comparative levels within a structurally related predefined group. Targeted metabolite analysis aims to determine the absolute concentration of metabolites using specialized extraction protocols with an adapted separation and detection methods [18]. Metabolite fingerprinting generally not used to detect individual metabolites, but rather it provides a fingerprint of all compounds which can be measured for sample comparison and discrimination analysis by non-specific rapid analysis of crude metabolite mixtures. However, single analytical technology is not enough to cover the whole metabolome owing to the metabolic diversity and their broad dynamic range in cellular abundance. Accordingly, different extraction techniques and combinations of analytical methods are often employed in order to acquire diverse group of metabolite coverage.

2. Mass spectrometry-based metabolomics analysis

Historically, metabolite concentrations were achieved either by spectrophotometric assays capable of detecting single metabolites or by simple chromatographic separation of mixtures with low complexity. However, over the past decade several methods with high accuracy and sensitivity have been established for the analysis of highly complex mixtures of compounds [19, 20, 21]. These methods include gas chromatography - mass spectrometry (GC–MS), liquid chromatography - mass spectrometry (LC–MS), fourier transform ion cyclotron resonance mass spectrometry (FT-ICR-MS) and capillary electrophoresis - mass spectrometry (CE-MS). In addition, NMR coupled with chromatography have found great efficacy in addressing specific issues with respect to medical fields [22, 23] and conceivably more important to the unequivocal determination of metabolite structures [24]. However, NMR shows relatively low sensitivity and hence can be used for profiling the diverse group of metabolites from complex mixtures. The pros and cons of mass-spectrometric based metabolomics is given in Table 1.

Metabolomics Technology	Advantages	Disadvantages
GC–MS	Well established chromatographic-mass spectrometric technology Less expensive Easy to perform Better stability and reproducibility Universal database for metabolite identification is available	Time consuming Can only analyze volatile compounds upon derivatization Not able to identify the unknown compounds
LC–MS	Highly sensitive Method for sample pre-treatment is simple Wide coverage of metabolite could be identified Scanning range for different ions is usually less Different columns can be used depends on the polarity of compounds	Less reproducibility Highly Expensive Difficult to identify highly polar and charged metabolites
FT-ICR-MS	High resolution mass spectrometric technique Extemely high mass accuracy High acquisition rates Highly flexible	Involves series of steps Use large super conducting magnets Highly expensive than GC–MS and LC–MS

Table 1.

Advantages and disadvantages of mass-spectrometric based metabolomics.

Gas Chromatography - Mass Spectrometry assists the identification and robust quantification of few hundred metabolites in a single plant extracts, which results in inclusive coverage of the central pathways of primary metabolism [25]. GC–MS has a major advantage than other methods that it has long been used for profiling the metabolites and therefore it has stable protocols for machine setup, their maintenance with chromatogram evaluation and interpretation. Though, single analytical system cannot cover the whole metabolome, GC–MS has a quite broad coverage of compounds classes including organic and amino acids, sugars, sugar alcohols, lipophilic compounds and phosphorylated intermediates [26]. During method validation, recovery experiments of all measurable compounds have been done and for unknown compounds, recombination experiments were executed to determine the recovery rates in which the extracts of two plant species are evaluated independently and also with mixtures [27, 28]. Liquid chromatography-based methods offer numerous advantages such as detection of broad range of metabolites, as they suffer from the lower reproducibility of retention time. In addition, they are more susceptible to ion suppression effects due to the predominant use of electrospray ionization, which renders the precise quantification more difficult [29, 30, 31]. FT-ICR-MS and CE-MS has been reported to be worth mentioning, where FT-ICR-MS has unsurpassed mass accuracy thereby allows the researcher to obtain an idea about the chemical composition of the specific compounds. In case of CE-MS, the low-abundance metabolites can be detected and affords good chromatographic separation [32, 33]. Of these techniques, GC–MS is mostly preferred for the separation of low molecular weight metabolites which can be either volatile or can be converted into volatile and thermally stable compounds via chemical derivatization prior to the analysis [34]. The experimental procedure for GC–MS based metabolomics analysis is represented in Figure 1.

Figure 1.

Schematic overview of MS based metabolomics.

3. Derivatization

Derivatization is a process by which a compound is chemically modified to produce a new compound that has properties which are more amenable to specific analytical procedure. Samples analyzed by gas chromatography requires derivatization in order to make them suitable for analysis. Derivatization procedure imparts volatility, decreases the adsorption in the injector, increases the stability of compounds; improve the resolution and detectability between coeluting compounds and overlapping which assist in structure determination [35]. A good derivatizing reagents and the procedure should produce the compound of interest with desired chemical modification and be efficient, reproducible and non-hazardous (www.piercenet.com). For GC, derivatization reaction can be done by three basic types: silylation, acylation and alkylation. Silylating reagents react with compounds containing active hydrogen and are most frequently used in GC. Acylating reagents react with compounds having high polar functional groups such as amino acids or carbohydrates. While alkylating reagents target the active hydrogen’s on amines and acidic hydroxyl group [36].

4. Seagrasses

Seagrasses, a marine hydrophilus angiosperm live entirely in an estuarine or in the marine environment and nowhere else [37]. Seagrass ecosystem act as a breeding and nursery ground for numerous organisms and also help in promoting the commercial fisheries. It is considered to be one of the most productive ecosystems that retain the structural complexity and biodiversity shed light to some researchers to describe seagrass community as marine representation of the tropical rainforests [38]. Currently, seagrasses are assigned to four families Hydrocharitaceae, Cymodoceaceae, Posidoniaceae and Zosteraceae (den [39, 40]). According to angiosperm Group III System, all four families occurred exclusively to monocot order Alismatales [41]; while Les and Tippery [40] favored to treat the same clades as a subclass Alismatidae. The family hydrocharitaceae comprises of three genera namely Enhalus, Halophila and Thalassia and the Cymodoceaceae encompasses the highest variety of genera includes Amphibolis, Halodule, Syringodium, Cymodocea and Thalassodendron. Likewise, the Zosteraceae comprises of Zostera, Heterozostera, Nanozostera, Phyllospadix which are exclusive marine organisms and the family Posidniaceae are monogeneric [42, 43, 44]. Therefore, seagrasses can be considered as a unique ecological group occurring worldwide in different climatic zones and sharing their metabolic features with their terrestrial counterparts [37]. However, their metabolism must have undergone several adaptations to survive and colonize in shorelines and oceans worldwide [37]. The seagrass ecosystems and their functions were given in Table 2.

Seagrass and Seagrass beds	Properties
Common names	Eelgrass, turtle grass, tape grass, shoal grass, and spoon grass
Families: 4	Hydrocharitaceae Posidonaceae Zosteraceae Cymodoceaceae
Total Species: 72	In India: 14 species exist
Habitat	Found in salt and brackish water
Depth	1 meter - 58-meter depth
Seagrass Parts
Leaves; Chloroplast Lacunae Cuticle Viens	Photosynthesis; Help for buyoncy; Exchange oxygen and carbondioxide in the water column; Transport nutrients throughout the plants
Rhizome	Stabilize the seagrass beds under wave action
Roots	Absorb nutrients from the soil and transport to the plants
Growth and reproduction	Sexual reproduction and asexual clonal growth
Biodiversity; Small bodied	Small thin leaves; Small rhizome; “Guerilla” strategy; Short lived with fast turnover; Low biomass; Abundant flowering; Many small seeds and seed bank
Large bodied	Large thick leaves; Large rhizome; “Phalanx” strategy; Long-lived with slow turnover; High biomass and holds space; Patchy flowering; Few large seeds and seeds germinate rapidly
Ecosystem benefits	Lungs of the sea; Creation of Living Habitat; Foundation of Coastal Food Webs; Blue Carbon

Table 2.

Seagrass ecosystem and their benefits.

5. Seagrass metabolome

Seagrasses share a number of analogous acquired metabolic adaptations owing to their convergent evolution, but their secondary metabolism varies among the four families that can be considered as true seagrasses. During the period of ancient Tethys Sea, approximately 90 million years ago surrounded by Africa, Gondwanaland, and Asia, the terrestrial like species returned to the sea and thus explaining the “terrestrial-like” chemical profile of seagrass. From a chemotaxonomic viewpoint, numerous secondary metabolites have been often studied in seagrasses. The metabolome of seagrasses may differ with respect to geographical location, substrates and other physiological factors includes wide fluctuations in the salinity which are prone to synthesize novel metabolites with defined physiological, biochemical, defense and ecological roles [45, 46]. Preliminary suggestions confirmed that seagrasses have pharmaceutically potent bioactive secondary metabolites [47], that are directed to prove to be a lead molecule for drug discovery [48]. The status of metabolomic study in seagrasses reported so far is tabulated in Table 3.

Seagrass	Methods used	Derivation method	Results	Potential application	Reference
Zostera marina; Zostera noltii	GC/TOF	Trimethyl silylation	Adaptivemechanisms are involved through metabolic pathways to dampen the impacts of heat stress	Sucrose, fructose, and myo-inositol were identified to be the most responsive metabolites of the 29 analyzed organic metabolites.	Gu et al. [49]
Cymodocea nodosa	GC-QTOF-MS	Trimethyl silylation	Growth promoting metabolites (sucrose, fructose, myo-inositol, heptacosane, tetracosane, stigmasterol, catechin and alpha-tocopherol) were lower close to the zone, whereas metabolites involved with stress-response (alanine, serine, proline, putrescine, ornithine, 3,4-dihydroxybenzoic acid and cinnamic acid) were identified	Metabolomic fingerprinting of seagrass provides opportunities for early detection of environmental degradation in marine ecological studies	Kock et al. [50]
Halodule pinifolia	GC–MS	Trimethylsilyl etherification	GC–MS analysis revealed the presence of thirty-five compounds which include flavonoids, sugars, amino acids and plant hormones	Study has explored a newer marine source, H. pinifolia for RA, which is an emerging potential preclinical chemical entity	Jeyapragash et al. [51]
Zostera marina	GC–MS	Trimethyl silylation	Decreased carbohydrate decomposition products and tricarboxylic acid (TCA) cycle intermediate products, indicating that the energy supply of the eelgrass may be insufficient at high temperature	composition of the membrane system of eelgrass may change at high temperature and implying that high temperature may cause the membrane system to be unstable	Gao et al. [52]
Halodule pinifolia	GC–MS	Trimethyl silylation	98 metabolites in wild and 125 metabolites in SCC were identified. 77 primary and secondary metabolism pathways in wild, while 73 metabolism pathways in SCC were reported	Baseline information on H.pinifolia metabo-lism in the marine and artificial environments	Jeyapragash et al. [53, 54]
Zostera muelleri	NMR	Trimethyl-silylation	Several potential bioindicators of low-light stress: a reduction of soluble sugars and their derivatives, glucose, fructose, sucrose and myo-inositol, N-methylnicotinamide, organic acids and various phenolic compounds were identified	Metabolomics measurements may be useful bio-indicators of low-light stress in seagrass	Griffith et al. [55]
Halodule pinifolia	GC–MS	Trimethyl-Silylation	Three thermo-protective metabolites such as trehalose (sugar), glycine betaine (amino acid) and methyl vinyl ketone (organic acid) were profiled from H. pinifolia (45°C) and is the first report on the occurrence of glycine betaine and methyl vinyl ketone from seagrasses and other aquatic species so far	Facilitate the further research on identifying gene to metabolite networks for an effective management of seagrass conservation by genetic manipulation	Jeyapragash et al. (2021)

Table 3.

Status of metabolomics studies in seagrasses.

Primary metabolites from seagrasses reported to be similar, to that of any other terrestrial angiosperms [56]. Despite the higher phenol content, seagrasses found to be rich source of protein which alleviates the chronic problem of protein deficiency in developing countries like India [47]. In addition, seagrasses are a rich source of secondary metabolites such as simple phenolic compounds, phenylmethane and phenylethane derivatives, flavonoid and volatile derivatives with high commercial value [38]. Jeyapragash et al., reported that the plant growth regulators enhance the production of flavonoid production in the callus and cellular suspension cultured cells of seagrass H. pinifolia (Figure 2) Though, quantum of research has been published with respect to metabolome of seagrasses, there is still a dearth of knowledge as compared to the terrestrial plants. Seagrass offers remarkable opportunities to derive new commercially valuable phytochemicals when compared to algae [57, 58]. Therefore, the metabolite content from seagrasses constitutes another treasure of the ocean. Henceforth, the knowledge on metabolomics analysis from seagrass is decisive for understanding the complete metabolite picture and to explore their bioactive properties.

Figure 2.

Growth regulators mediated flavonoid production in callus and cellular siuspenison of H. pinifolia.

Seagrasses, the only higher plants solely living in the marine habitats and are ultimate importance for marine ecological systems close to the shorelines. Several studies dealt with the function of seagrasses as primary producers, shelter and food for fish, turtles and invertebrates as well as spawning areas for these organisms [59, 60, 61]. The reviews existing on seagrasses with different focus than the present one deal in more detail with other aspects of the ecological role of seagrasses, particulary the metabolite classes which are very few and primitive. Seagrasses reported to share the most features of primary and secondary metabolites with respect from the Alismatales order which live in land and freshwater habitats [62]. Kannan and Kannal [63] and Pradheeba et al. [56] reported that primary metabolites such as carbohydrate, protein and lipid content from seagrasses acts as a rich source of nutritional value and was eveidenced by the obvious increase in the carbohydrate content of E. acoroides, T. hemporichii [63], C. rotundata [56] and lipid content of C. nodosa [64]. Higher protein content form seagrasses have also been reported in E. acoroides [63], Ruppia cirrhosa [64], C. serrulata, S. isoetifolium, H. ovalis, H. pinifolia [47], C. rotundata and H. uninervis [56] that are found to accumulate manximum concentration than the seaweeds [47].

Secondary metabolism occurs in seagrasses depends on the season and environmental conditions and was reported as a rich source of diverse natural products from simple to conjugated phenolic compounds such as phenolic acids, flavones, tannins and lignins [65, 66]. It was also reported that P. oceanica harbors compounds ranging from simple phenol derivatives, phenylmethane, phenyethane and phenypropane derivatives [67]. Athiperumalsami et al. [47] reported the occurrence and absence of alkaloids, antroquinones, catechins, coumarins, flavonoids, phenols, saponins, quinones, tannins and secondary metabolites in the tropical seagrass Cymodocea serrulata, Halodule pinifolia and Syringodium isoetifolium. Heglmier and Zindron [62] reported 51 natural products in P. oceanica that includes phenols, flavones, phenylmethane, ethane derivatives. Though reports availed on the seagrass derivatives, limited study dealt with the chemistry of secondary metabolites of seagrasses [62, 68]. The list of metabolites profiled and the metabolic pathways from wild seagrasses are tabulated in Table 4 and Figure 3.

Compound Name	Molecular Formula	Molecular weight (g/ mol)	Exact Mass (g/mol)
D-Glucose	C6H12O6	180.156	180.063
Maltose	C12H22O11	342.297	342.116
D-Fructose	C6H12O6	180.156	180.063
Sucrose	C12H22O11	342.297	342.116
Inositol	C6H12O6	180.156	180.063
Methyl alpha-D-; Glucopyranose	C7H14O6	194.183	194.079
D-Galactose	C6H12O6	180.156	180.063
Lactose	C12H22O11	342.297	342.116
L-Rhamnose	C6H12O5	164.157	164.068
D-Ribose	C5H10O5	150.13	150.053
Adenosine-2′:3′- cyclic; monophosphate	C10H14N5O7P	347.224	347.063
N-Acetyl-Î-D-glucosamine	C8H15NO6	221.209	221.09
Aspartyl-Leucine	C10H18N2O5	246.263	246.122
Glycine	C2H5NO2	75.067	75.032
Threonine	C4H9NO3	119.12	119.058
Valine	C5H11NO2	117.148	117.079
Proline	C5H9NO2	115.132	115.063
Alanine	C3H7NO2	89.094	89.048
Thiamine	C12H17N4OS^+	265.355	265.112
Methionine	C5H11NO2S	149.208	149.051
Phenylanaline	C9H11NO2	165.192	165.079
Tyrosine	C9H11NO3	181.191	181.074
Methyl Pyroglutamate	C6H9NO3	143.142	143.058
Glutamic acid	C5H9NO4	147.13	147.053
Vanillic acid	C8H8O4	168.148	168.042
Oxalic acid	C2H2O4	90.034	89.995
gamma-Aminobutyric acid	C4H9NO2	103.121	103.121
Citrate	C6H5O7^−3	189.099	189.004
Stearic acid	C18H36O2	284.484	284.272
Hexadecanoic acid	C16H32O2	257.422	257.244
Potassium Gluconate	C6H11KO7	234.245	234.014
Nicotinic acid	C6H5NO2	123.111	123.032
Phosphoric acid	H3PO4	97.994	97.977
Sodium Pyrophosphate	Na4P2O7	265.9	265.871
Acetamide	C2H5NO	59.068	59.037
Decanedioic acid	C12H22O4	230.304	230.152
Indoleaceteic acid	C10H9NO2	175.187	175.063
1-Napthaleneacetic acid	C12H10O2	186.21	186.068
4-Hydroxybenzaldehyde	C7H6O2	122.123	122.037
2,4-dihydroxybenzaldehyde	C7H6O3	138.122	138.032
3,4-Dihydroxybenzoic	C7H6O4	154.121	154.027

Table 4.

List of metabolites identified from wild seagrasses.

Figure 3.

Distribution of metabolic pathways of differential metabolites derived from wild seagrass (A) and their active networks (B) (adapted from [53, 54]).

The presence of sulphated flavones was reported to be accumulated in Halophila and Thalassia species [69] and in Z. marina [70], but not found in Syringodium spp. and P. oceanica. Mc Millan [71] found the presence of either flavones or phenolic acid in 43 segrass species while the sulphated flavones found specifically in five species namely, Zostera, Phyllospadix, Enhallus, Thallasia and Halophila species. The sulphated flavonoids have also been traced out in Halophila ovalis and Thalassia testudinum [72]. It was found that the flavonoid glycosides and acyl derivatives in P. oceanica and 15 flavonoid derivatives in Halophila johnsonii [73]. Similar to flavonoids and phenolic compounds, the sterol composition has also been reported from temperate seagrasses than the tropical seagrass. The presence of long cahin fatty acids in P. oceanica [74] and α-hydroxy fatty acids in Z. mulleri [75]. The polar lipids and fatty acids from Z. marina and Phyllospadix iwatensis [76], phospholipids and glycolipids from Z. marina [77] and steroids, fatty acids from Z. japonica [78] confirms the prevalence of volatile compounds in segrasses.

Jeyapragash et al. [53] investigated the systematic identification and characterization of metabolic changes in wild and SCC of H. pinifolia using GC–MS based metabolomics approach. It was found that the wild sample accumulated 98 metabolites, while SCC with 125 metabolites along with their relative abundance. The metabolites profiled from wild and SCC was used to map their biochemical pathways. Interestingly, the accumulated metabolites in wild were spanned with 77 primary and secondary metabolism pathways and 73 pathways in SCC. Kyoto Encyclopaedia of Genes and Genomes (KEGG) pathway analysis confirmed insightful biochemical alterations occurred in wild and SCC such as glutathione metabolism, glutamate metabolism, phenylalanine and tyrosine metabolism in wild with significant variations in citric acid metabolism, glycolysis, gluconeogenesis, oxidative phosphorylation related pathways of SCC respectively. Random forest analysis helped to group top 15 metabolites and their correct classification. The data obtained will provide baseline information on H. pinifolia metabolism in the marine and artificial environments. Furthermore, it helps to study the stress responsive mechanisms of seagrasses in the marine environment which would further aid in the dissection stress tolerance mechanism.

In addition, Jeyapragash et al. [79] reported the heat stress responsive metabolomics analysis of seagrass H. pinifolia in the marine environment. Since, ocean warming is a major global concern in the marine environment, the study focussed to understand the tolerance mechanism of seagrass Halodule pinifolia under temperature stress (24, 29, 37, and 45°C) using OMICS approach. Ecophysiologiacal responses such as net photosynthesis (ΔF/F’m) and dark respiration (Fv/Fm) were also studied. Results found that photosynthetic efficiency (ΔF/F’m) significantly reduced due to heat stress, while the rate of dark respiration rate increased as compared to the control (24°C), respectively. Metabolomics study revealed that heat stress could cause huge metabolic alterations with respect to sugar, amino acids and organic acids. Interestingly, thermo-protective compounds such as trehalose (sugar), glycine betaine (amino acid) and methyl vinyl ketone (organic acid) were accumulated from H. pinifolia (45°C) which was the first report on the occurrence of glycine betaine and methyl vinyl ketone from seagrasses and other aquatic species so far. These findings would help the research groups to focus on the gene to metabolite networks mechanism for an effective management of seagrass conservation by genetic manipulation.

6. Seagrass cell suspension culture

Plants are considered as the factories of chemical compounds produced in order to carry out their biochemical pathways for survival and propagation [80]. All plants produce secondary metabolites which gained importance in pharmaceutical applications since ancient periods. The plant-based drug discovery gained importance with the development of anti-infectious and anti-cancer drugs which contributes to new bioactive molecules that are being isolated for the treatment of other diseases such as diabetes and obesity [81]. However, the important plant derived drugs are obtained commercially by the extraction from their respective plants. Currently, the natural plant habitats are vanishing due to environmental and geopolitical instabilities and so making it very difficult to procure important secondary metabolites and in the process many potential bioactive compounds have been left undiscovered. Plant cell culture is considered as a promising alternative approach for producing the bioactive compounds that are challenging to be obtained by chemical synthesis or plant extraction [82]. Plant cell culture studies have been carried out on the basis of the totipotent nature, in which the cell has the full set of genes necessary for secondary metabolisms [83]. The production of secondary metabolite via plant tissue culture have been commercialized sincelate 1950s, when atropine from the roots of Atropa belladonna was accumulated in roots and callus [84]. The list of metabolites profiled and their metabolic pathways from SCC of seagrasses were shown in Figure 4 and tabulated in Table 5.

Figure 4.

Distribution of metabolic pathways of differential metabolites derived from SCC of seagrass (A) and their active networks (B) (adapted from [53, 54]).

Query	Match	HMDB	PubChem
Rosmarinic acid	C18H16O8	360.318	360.085
Caffeic acid	C9H8O4	180.159	180.042
p-Coumaric acid	C9H8O3	164.16	164.047
Protocatacheuic acid	C7H6O4	154.121	154.027
p-Anisic acid	C8H8O3	152.149	152.047
Vanillic acid	C8H8O4	168.148	168.042
Naringenin	C15H12O5	272.256	272.068
4-hydroxybenzoic acid	C7H6O3	138.122	138.032
Fructose-6-phosphate	C6H13O9P	260.135	260.03
Glucose-6-phosphate	C6H13O9P	260.135	260.03
Glucose	C6H12O6	180.156	180.063
Phosphoenol pyruvic acid	C3H5O6P	168.041	167.982
Pyruvic acid	C3H4O3	88.062	88.016
Citric acid	C6H5O7^−3	189.099	189.004
Fumaric acid	C4H4O4	116.072	116.011
3-PGA	C3H7O7P	186.056	185.993
Ketoglutaric acid	C5H6O5	146.098	146.022
Malic acid	C4H6O5	134.087	134.022
Succinic acid	C4H6O4	118.088	118.027
Mannose	C6H12O6	180.156	180.063
Oxaloacetic acid	C4H4O5	132.071	132.071
Sucrose	C12H22O11	342.297	342.116
D-Fructose	C6H12O6	180.156	180.063
Raffinose	C18H32O16	504.438	504.169
Trehalose	C12H22O11	342.297	342.116
Turanose	C12H22O11	342.297	342.116
Mannitol	C6H14O6	182.172	182.079
Inositol	C12H22O11	342.297	342.116
Xylitol	C5H12O5	152.146	152.146
Alanine	C3H7NO2	89.094	89.048
Aspargine	C4H8N2O3	132.119	132.053
Aspartic acid	C4H7NO4	133.103	133.038
Glutamic acid	C5H9NO4	147.13	147.053
Glycine	C2H5NO2	75.067	75.032
Proline	C5H9NO2	115.132	115.063
Serine	C3H7NO3	105.093	105.043
Threonine	C4H9NO3	119.12	119.058
Valine	C5H11NO2	117.148	117.079
2,4-dihydroxybenzoic acid	C7H6O3	138.122	138.032
2-hydroxybutyric acid	C4H8O3	104.105	104.047
Gamma-aminobutyric acid	C4H9NO2	103.121	103.121
Dimethylamine	(CH3)2NH	45.085	45.058
Ethanolamine	C2H7NO	61.084	61.053
Thiamine	C12H17N4OS^+	265.355	265.112
Nicotinic acid	C6H5NO2	123.111	123.032
Pyridoxine	C8H11NO3	169.18	169.074
Phenylanaline	C9H11NO2	165.192	165.079
Tryrosine	C9H11NO3	181.191	181.074
Shikimic acid	C7H10O5	174.152	174.053
Acotinic acid	C6H6O6	174.108	174.016
Xylonic acid	C5H10O6	166.129	166.048
Ascorbic acid	C6H8O6	176.124	176.032
Guanine-2′3’-cyclic; monophosphate	C10H12N5O7P	345.208	345.047
Pantothenate	C9H16NO5	218.229	218.103
Sphingosine	C18H37NO2	299.499	299.28
N-acetylglucosamine	C8H15NO6	221.209	221.09
Aspartyl leucine	C10H18N2O5	246.263	246.122
2-hydroxy glutaric acid	C5H8O5	148.114	148.037
Glyceric acid	C3H6O4	106.077	106.027
Chlorogenic acid	C16H18O9	354.311	354.095
Rhamnose	C6H12O5	164.157	164.068
Guanosine monophosphate	C10H15N5O11P2	443.202	443.024
Ribose	C5H10O5	150.13	150.053
Adenosine-2′3’-cyclic; Monophosphate	C10H14N5O7P	347.224	347.063
Dihydroquercetic acid	C15H12O7	304.254	304.058
Adenosine-2-; Monophosphate	C10H14N5O7P	347.224	347.063
p-hydroxybenzoic acid	C7H6O3	138.122	138.032
Quinic acid	C^7H^12O^6	192.167	192.063
Tryptophan	C^11H^12N^2O^2	204.229	204.09
Pyroglutamic acid	C5H7NO3	129.115	129.043
Salicylic acid	C7H6O3	138.122	138.032
Methionine	C5H11NO2S	149.208	149.051
Lactic acid	C3H6O3	90.078	90.032
Isovaleric acid	C^5H^10O2	102.133	102.068
2-oxyglutaric acid	C5H6O5	146.098	146.022
2-hydroxyisobutyric acid	C4H8O3	104.105	104.047
1-methylnicotinic acid	C7H8NO2^+	138.146	138.056
Hypoxanthine	C5H4N4O	136.114	136.039
Indole Acetic acid	C10H9NO2	175.187	175.063
Naptheline acetic acid	C12H10O2	186.21	186.068

Table 5.

List of metabolites identified from suspension cultured cells seagrasses.

Improved plant cell culture techniques made possible to increase the target metabolite production under in-vitro conditions. However, agronomically focussed biotechnology is capable to make use of plant tissue culture; such methods are not usually available to marine biologist and notably, in-vitro culture of seagrasses has been far more problematic due to lack of the suitable culturing conditions [85]. Available literature has brought that 14% of seagrasses are at an elevated risk of extinction under IUCN red list of threatened species [86]. Though numerous studies have been addressed the in-vitro culture of seagrass [38, 87, 88, 89, 90, 91, 92, 93], no report exist on the metabolomics analysis from suspension cultured cells of seagrass. In-vitro propagation techniques of different seagrass species for restoration and protocol for seagrass protoplast isolation are prevailing [94, 95, 96, 97, 98]. Among all these protocols, Carpeneto et al. [96] was successful in the cell wall regeneration of protoplast from Posidonia oceanica and Cymodocea nodosa. Recently, establishment of cell suspension culture has been achieved in C. nodosa [99], Halodule pinifolia, C. rotundata and C. serrulata [38]. Jeyapragash et al., [53, 54] reported that the metabolites synthesized from seagrass H. pinifolia in the marine and artificial environment will be highly similar with a total of 98 metabolites in wild and 125 metabolites in SCC respectively and however the cellular suspension accumulated the higher content. The study suggested that the use of seagrass cellular suspension for metabolomics engineering will provide a new facet for novel metabolite identification and characterization. Nevertheless, there lay famine knowledge in the metabolite accumulation pattern and their different biotechnological and pharmaceutical applications. Enhancement of metabolite biosynthesis can also be achieved via the precursors or elicitor treatments of plant cells (Figure 5). Precursors are the compound which act as intermediate in or at the beginning of biosynthetic route, treatments using the same stands a good chance of increasing the yield of the desired product. Exogenous supply of biosynthetic precursors to the culture medium induces the high yield of targeted products (Whitmer et al., 1998; [100]).

Figure 5.

Elicitor induced comparative metabolomics of wild and cellular suspension of seagrass.

Plant also synthesizes the secondary metabolites to protect themselves in response to various environmental stresses. It might be physical, chemical or a biological factor which induces the higher secondary metabolism known as elicitors. The use of elicitors in cell suspension cultures has been developed to enhance the yield of secondary metabolites, wherein elicitation of target compounds can be induced by the addition of trace number of elicitors [101]. Biotic and abiotic elicitors are available which depends on the target compounds that need to be synthesized.

7. Seagrasses—a source for marine based drug discovery

Ravn et al. [102] reported that phenolic acids such as p-coumaric acid, caffeic acid, ferulic acid, protocatacheuic acid, p-hydroxybenzoic acid, vannillic acid, gentisic acid found predominant in Halophila ovalis, Thalassia hemprichii, Halodule sp., Cymodocea spp., Enhalus acoroides, Syriingodium isoetifolium and other seagrass species. In addition, the pharmaceutically potent rosmarinic acid has been isolated from Z. marina [102] Z. noltii [103], H. pinifolia [51] and also from the detritus of Z. noltii and Z. marina [57]. Along with rosmarinic acid, caffeic acid and chlorogenic acid found to be present in some trace amounts, since caffeic acid acts as a precursor for roamarinic acid in the shikimic acid biosynthesis. It was also been reported that the predominance of caffeic acid was accumulated in the leaves of P. oceanica [104] and Thalassodendron ciliatum [105]. Jeyapragash et al. [51], profiled 45 metabolites from Halodule pinifolia, which includes caffeic acid, coumaric acid, chlorogenic acid and rosmarinic acid which found predominant than other compounds. Recently, biofilm associated, multidrug resistant Pseudomonas aeruginosa infection remain a challenging problem in the clinical field since the conventional antibiotic therapy are largely inefficient and new approaches are needed. Inactivating the QS virulence mechanism with anti-infective agent is an attractive approach to prevent bacterial infections without resistance development [54]. Seagrass Halodule pinifolia (Miki) Hartog has been shown to exhibit potential antimicrobial activities against P. aerugonasa PAO1. Preliminary screening on antibiofilm activity showed that the methanolic extract of H. pinifolia exhibited potential inhibition of biofilm formation (96%) as compared to the control respectively. Eight bioactive compounds such as 4-hydroxybenzoic acid, rosmarinic acid, 4-methoxybenzoic acid, p-coumaric acid, protocatacheuic acid, caffeic acid, naringenin, vanillic acid, were profiled. Of these compounds, 4-methoxybenzoic acid (4-MBA) showed maximum bacterial growth inhibition that act as a lead molecule with minimum inhibitory concentration (MIC). Furthermore, 4-MBA at MIC concentration reduced the virulence factors and down regulated the level of QS mediated virulence transcripts. The study suggests that seagrasses may act as a newer source for the marine based drug discovery and may act as anti-infective agent against biofilm-mediated harmful pathogens.

8. Conclusion

To summarize, experiments in seagrass metabolomics to date helped us to validate a vast array of metabolites and their alterations in response to various stress mechanisms. This approach has previously enabled to recognize a large number of metabolites whose accumulation is affected upon the exposure of organisms under stress conditions. Nevertheless, despite the many advancements that have been achieved in this field, much work is still needed to identify the seagrass metabolites and their novel metabolic pathways connected to stress response and their tolerance mechanism and to interpret the extensive organization and interaction among gene to metabolite networks. This chapter provides knowledge on the systematic identification and metabolic characterization of seagrass metabolites using metabolomics approach. The bioactive potential of compounds derived from seagrasses paves a way to lead as potential inhibitors of many harmful pathogens in the pharmaceutical sectors and therefore, seagrass explored as newer marine source for the development of plant-based drugs. Further, in-vitro cultures of seagrass afford an alternate model for the up-regulation of enhanced bioactive compound synthesis. Moreover, various stress related metabolomics approach of wild seagrasses should be studied in order to derive diverse group of bioactive metabolites as much as possible, so as to fill the knowledge gap of seagrass metabolites and step forward towards the commercialization of bioactive natural products from seagrasses.

Acknowledgments

The authors would be grateful to University Grants Commission - Basic Scientific Research (UGC-BSR) for their funding and thankful to the Centre of Advanced Study in Marine Biology, Annamalai University for their research facility. Our sincere gratitude to Department of Biotechnology, Karpagam Academy of Higher Education for their scientific interactions to complete the work.

Conflict of interest

The authors declare that there is no conflict of interest.

Abbreviations

GC–MS	Gas Chromatography–Mass Spectrometry
LC–MS	Liquid Chromatography Mass Spectrometry
FT-ICR-MS	Fourier Transform- Ion Cyclotron Resonance-Mass Spectrometry
SCC	suspension cultured cells
NMR	Nuclear Magnetic Resonance
4-MBA	4-methoxy benzoic acid
MIC	minimum inhibitory concentration
KEGG	Kyoto Encyclopaedia of Genes and Genomes
IUCN	International Union for conservation of Nature
CE-MS	Capillary Electrophoresis-Mass Spectrometry