REVIEW article

Front. Mar. Sci., 20 December 2024

Sec. Marine Biogeochemistry

Volume 11 - 2024 | https://doi.org/10.3389/fmars.2024.1466221

The occurrence and biogeochemical cycling of quaternary, ternary and volatile amines in marine systems

  • 1. Marine Institute, University of Plymouth, Plymouth, United Kingdom

  • 2. Plymouth Marine Laboratory, Prospect Place, Plymouth, United Kingdom

  • 3. School of Biosciences, University of Birmingham, Birmingham, United Kingdom

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Abstract

This review provides a critical assessment of knowledge regarding the occurrence and behaviour of volatile, low molecular weight amines, particularly methylamines and quaternary amines, in marine aquatic systems. It provides an up-to-date evaluation of their presence within marine ecosystems, the processes likely to control their flux across the sea-air interface, and analytical techniques associated with their measurement. Interest in the occurrence and cycling of these groups of compounds in seawater has increased within the last 10–15 years, due to their potential role in climate regulation. As such, the need for wider measurements and mechanistic studies to elucidate their role within biological communities and, more widely, the nitrogen cycle and marine ecosystem models, is apparent. Finally, we make recommendations on what research questions are most suitable for future studies in this area.

Introduction

Nitrogen (N) is ubiquitous in marine systems and an essential macro-nutrient for primary production. It exists in both inorganic and organic form, with oxidation states ranging from +5 (e.g. nitrate; NO3-) to -3 (e.g. ammonia; NH3, glycine; CO2HCH2NH2). Molecules in the dissolved organic N (DON) pool can be ionised or neutral (gaseous), which influences both their volatility, aqueous residence time and atmospheric flux.

Trace gases play critical roles in marine biogeochemical cycles, atmospheric chemistry and climate (Carpenter et al., 2012; Almeida et al., 2013; Riccobono et al., 2014). Phytoplankton synthesise organic compounds as osmolytes and cryoprotectants, including dimethylsulfoniopropionate and quaternary amines (QAs). The former has received attention as a precursor of the cloud-promoting gas, dimethylsulfide (DMS); however, amines may be equally important (Almeida et al., 2013; Riccobono et al., 2014; Tilgner et al., 2021; Hoffmann et al., 2024). For example, glycine betaine, a QA commonly termed “betaine” in early literature, is among the most widely-used compatible solutes in nature (Yancey et al., 1982). Nitrogen-containing osmolytes (N-osmolytes), such as glycine betaine, are produced by marine phytoplankton to maintain osmotic pressure (Yancey, 2005; Burg and Ferraris, 2008). These molecules can degrade to produce methylamines (Jameson et al., 2016a; King, 1984; Oremland et al., 1982; King, 1988; Oren, 1990), chemical analogues of ammonia with the molecular formula (CH3)nNH3-n. Marine bacteria use MAs as a source of energy and remineralise the nitrogen to ammonium (Lidbury et al., 2015). The MAs are also required by bacteria for conversion of DMS to dimethylsulfoxide (Lidbury et al., 2016), firmly establishing them as important components in marine biogeochemical cycles.

In dissolved, gaseous form, MAs can diffuse across the sea-air interface to participate in climate-regulation processes (Figure 1). Indeed, atmospheric MA concentrations above 65 nmol m-3 could account for observed atmospheric particle-formation rates (Almeida et al., 2013).

Figure 1

Figure 1

Proposed formation and fluxes of methylamines (MAs) and their precursors, the quaternary amines (QAs), in seawater. Glycine betaine is used as an example of a QA. DON, dissolved organic nitrogen (dipeptide molecule included; R and R1 refer to side chains on the amino acid residues); GBT, glycine betaine; TMA, trimethylamine; DMA, dimethylamine; MMA, monomethylamine; PU, phytoplankton uptake; MD, microbial degradation.

In this article, we review current knowledge on the occurrence, cycling and measurement of quaternary and ternary amines used as osmolytes, and volatile, low molecular weight amines (MAs and other amines whose presence has been reported). Their behaviour is evaluated with reference to molecular structure, physico-chemical properties, and identified microbial interventions and pathways. Finally, we propose how our understanding of the roles and significance of these compounds within the marine environment might be progressed.

Quaternary and ternary amines

Occurrence and role

Quaternary and ternary amines are used extensively by both phytoplankton and bacteria as osmoprotective compounds (osmolytes). Cells alter the cytoplasmic concentration of these compounds in response to changing salinity via synthesis and/or uptake (Sleator and Hill, 2002). Most quaternary amines are compatible solutes, meaning that they are highly soluble molecules which carry no net charge in vivo and do not interact with cellular proteins. As well as maintaining osmotic balance, compatible solutes have a stabilising effect on proteins, protecting against salinity, temperature changes and desiccation (Sleator and Hill, 2002). Glycine betaine (GBT) is a commonly-used osmolyte among both phytoplankton and bacteria; others include carnitine, trigonelline, homarine and the ternary amines proline and ectoine (Table 1).

Table 1

Compound Molecular mass Reported occurrence Reference
Carnitine
161.20 Dinophyceae
 Amphidinium carterae
 Alexandrium tamarense
 Heterocapsa triqueta
 Lingulodinium polyhedra
 
Prymnesiophyceae
 Chrysochromulina acantha
 Chrysochromulina rotalis
 Chrysochromulina simplex
 Chrysochromulina parva
 Emiliania huxleyi
 
Bacillariophyceae
 Thalassiosira pseudonana
 Thalassiosira oceanica
 Phaeodactylum tricornutum
 Navicula pelliculosa
 Cyclotella mereghiniana
 Pseudo-nitzschia pungens
 
Gammaproteobacteria (Gram -ve)
 Shewanella pacifica
 Pseudomonas sp.
 Chromohalobacter salexigens
 
Alphaproteobacteria
 Sulfitobacter
 Thalassospira
 
Bacilli
 Bacillus subtilis
 
Durham et al., 2022
Durham et al., 2022
Durham et al., 2022
Durham et al., 2022
 
 
Durham et al., 2022
Durham et al., 2022
Durham et al., 2022
Durham et al., 2022
Durham et al., 2022
 
 
Durham et al., 2022
Durham et al., 2022
Durham et al., 2022
Durham et al., 2022
Durham et al., 2022
Durham et al., 2022
 
 
Ivanova et al., 2004
Hung and Kleber, 1985; Monnich et al., 1995
Meng et al., 2022
 
 
Durham et al., 2022
Durham et al., 2022
 
 
Hoffmann et al., 2013
Choline
104.17 Dinophyceae
 Amphidinium carterae
 Alexandrium tamarense
 Heterocapsa triqueta
 Lingulodinium polyhedra
 
Prymnesiophyceae
 Chrysochromulina rotalis
 Chrysochromulina simplex
 Emiliania huxleyi
 
Bacillariophyceae
 Thalassiosira pseudonana
 Thalassiosira oceanica
 Phaeodactylum tricornutum
 Navicula pelliculosa
 Navicula cf. perminuta
 Cyclotella mereghiniana
 Pseudo-nitzschia pungens
 Fragillariopsis cylindris
 Nitzschia lecointei
 
Cyanophyceae
 Crocosphaera watsonii
 
Gammaproteobacteria (Gram -ve)
 Shewanella putrefaciens
 Colwellia psychrerythraea
 Vibrio coralliilyticus
 Moritella yayanosii
 
Alphaproteobacteria
 Sulfitobacter sp.
 Roseovarius sp.
 Ruegeria pomeroyi
 
Durham et al., 2022
Durham et al., 2022
Durham et al., 2022
Durham et al., 2022
 
 
Durham et al., 2022
Durham et al., 2022
Durham et al., 2022
 
 
Durham et al., 2022; Dawson et al., 2020
Durham et al., 2022
Durham et al., 2022
Durham et al., 2022; Dawson et al., 2020
Dawson et al., 2020
Durham et al., 2022
Durham et al., 2022
Dawson et al., 2020
Dawson et al., 2020
 
 
Durham et al., 2022
 
 
Leblanc et al., 2001
Firth et al., 2016
Lichty et al., 2024
Zhang et al., 2021
 
 
Durham et al., 2022
Durham et al., 2022
Durham et al., 2022
Cysteinolic acid
155.17 Dinophyceae
 Amphidinium carterae
 Prorocentrum minimum
Prymnesiophyceae
 Emiliania huxleyi
Bacillariophyceae
 Thalassiosira pseudonana
 Thalassiosira weissflogii
 Skeletonema costatum
Haptophyceae
 Isochrysis galbana
 Prymnesium parvum
Alphaproteobacteria
 Ruegeria pomeroyi
 
Fenizia et al., 2021
Fenizia et al., 2021
 
Fenizia et al., 2021
 
Fenizia et al., 2021
Fenizia et al., 2021
Fenizia et al., 2021
 
Fenizia et al., 2021
Fenizia et al., 2021
 
Durham et al., 2019; Smith et al., 2021; Roman et al., 2024
Ectoine
142.16 Dinophyceae
 Amphidinium carterae
 Prorocentrum minimum
Prymnesiophyceae
 Emiliania huxleyi
Bacillariophyceae
 Thalassiosira pseudonana
 Thalassiosira weissflogii
 Skeletonema costatum
 Phaeodactylum tricornatum
Haptophyceae
 Isochrysis galbana
 Prymnesium parvum
Gammaproteobacteria (Gram -ve)
 Chromohalobacter israelensis
 Chromohalobacter salexigens
 Halorhodospira halochloris
 Halomonas elongate
 Halomonas variabilis
 Methylarcula marina
 Methylarcula terricola
 Methylophaga alcalica
 Methylophaga natronic
 Vibrio parahaemolyticus
 Vibrio cholerae
 Vibrio fischeri
 Vibrio costociola
 
Fenizia et al., 2021
Fenizia et al., 2020, 2021
 
Fenizia et al., 2020, 2021
 
Fenizia et al., 2021
Fenizia et al., 2020, 2021
Fenizia et al., 2020, 2021
Fenizia et al., 2020
 
Fenizia et al., 2020, 2021
Fenizia et al., 2020, 2021
 
Roberts, 2005
Roberts, 2005
Roberts, 2005
Roberts, 2005
Roberts, 2005
Roberts, 2005
Roberts, 2005
Roberts, 2005
Roberts, 2005
Ongagna-Yhombi and Boyd, 2013
Pflughoeft et al., 2003; Roberts, 2005
Pflughoeft et al., 2003
Roberts, 2005
Glycine betaine
117.15 Dinophyceae
 Amphidinium carterae
 Prorocentrum minimum
 
Prymnesiophyceae
 Chrysochromulina sp.
 Emiliania huxleyi
 
Bacillariophyceae
 Thalassiosira pseudonana  

 Thalassiosira weissflogii
 Skeletonema costatum
 Phaeodactylum tricornutum
 Navicula cf. perminuta

 Nitzschia lecointei
 Fragilariopsis cylindrus
 Cyclotella cryptica
 Cyclotella mereghiniana
 
Haptophyceae
 Isochrysis galbana
 Prymnesium parvum
 Pavlova lutheri
Cryptophyceae
 Cryptochloris sp.
 Rhodomonas sp.
Chlorodendrophyceae
 Tetraselmis chui
 Prasinocladus
Porphyridiophyceae
 Porphyridium aerugineum
Gammaproteobacteria (Gram -ve)
 Vibrio parahaemolyticus
 Vibrio costicola
 Pseudomonas sp.
 Alteromonas sp.
 Acinetobacter sp.
 Escherichia coli
 Thioalkalivibrio versutus
 Halorhodospira halochloris
 Ectothiorhodospira marismortui
Betaproteobacteria (Gram -ve)
 Chromobacterium maris-mortui
Actinobacteria (Gram -ve)
 Micrococcus halbius
 Micrococcus sp.
 Actinopolyspora sp.
Bacilli
 Bacillus subtilis

 Staphylococcus epidermisis
Methanomicrobia
 Mathanohalophilus portucalensis
 Methanosarcina thermophila
Cyanophyceae
 Synechococcus 

 Synechocystis
 Spirulina
 Calothrix
 Phormidium
 Gloeocapsa
 
Keller et al., 1999a, b
Spielmeyer et al., 2011; Gebser and Pohnert., 2013; Fenizia et al., 2020, 2021
 
Keller et al., 1999a
Keller et al., 1999a, b; Gebser and Pohnert., 2013; Fenizia et al., 2020, 2021
 
Keller et al., 1999b; Spielmeyer et al., 2011, 2012, Dawson et al., 2020
Fenizia et al., 2021
Spielmeyer et al., 2011; Fenizia et al., 2020, 2021
Fenizia et al., 2020
Dickson and Kirst, 1987a; Spielmeyer et al., 2011, 2012
Dawson et al., 2020
Dawson et al., 2020
Dawson et al., 2020
Dickson and Kirst, 1987a
 
 
Spielmeyer et al., 2011; Fenizia et al., 2020, 2021
Spielmeyer et al., 2011; Fenizia et al., 2020, 2021
Spielmeyer et al., 2011
 
Spielmeyer et al., 2011
Spielmeyer et al., 2011
 
Dickson and Kirst, 1987b
Dickson and Kirst, 1987b
 
Dickson and Kirst, 1987a
 
Ongagna-Yhombi and Boyd, 2013
Imhoff and Rodriguez-Valera, 1984
Imhoff and Rodriguez-Valera, 1984
Imhoff and Rodriguez-Valera, 1984
Imhoff and Rodriguez-Valera, 1984
Imhoff and Rodriguez-Valera, 1984
Roberts, 2005
Roberts, 2005
Galinski and Oren, 1991
 
Imhoff and Rodriguez-Valera, 1984
 
Imhoff and Rodriguez-Valera, 1984
Imhoff and Rodriguez-Valera, 1984
Roberts, 2005
 
Imhoff and Rodriguez-Valera, 1984; Brill et al., 2011
Imhoff and Rodriguez-Valera, 1984
Hoffmann et al., 2013
Roberts, 2005
Roberts, 2005
 
Reed et al., 1986; Roberts, 2005; Mackay et al., 1984; Fulda et al., 1999
Reed et al., 1986
Reed et al., 1986
Reed et al., 1986
Reed et al., 1986
Mackay et al., 1984
Homarine
137.14 Dinophyceae
 Amphidinium carterae
 Prorocentrum minimum
Prymnesiophyceae
 Emiliania huxleyi

Bacillariophyceae
 Thalassiosira pseudonana
 Thalassiosira weissflogii
 Skeletonema costatum
 Navicula cf. perminuta
 Fragilariopsis cylindrus
 Cyclotella crytica
 Cyclotella mereghiniana
Haptophyceae
 Isochrysis galbana
 Prymnesium parvum
Chlorodendrophyceae
 Tetraselmis chui
 Prasinocladus
 
Keller et al., 1999a; Fenizia et al., 2021
Fenizia et al., 2021
 
Keller et al., 1999a; Gebser and Pohnert., 2013; Fenizia et al., 2021

Dawson et al., 2020; Fenizia et al., 2021
Fenizia et al., 2020, 2021
Fenizia et al., 2021
Dawson et al., 2020
Dawson et al., 2020
Dickson and Kirst, 1987a
Dickson and Kirst, 1987a
 
Fenizia et al., 2021
Fenizia et al., 2021
 
Dickson and Kirst, 1987b
Dickson and Kirst, 1987b
Proline
115.13 Bacillariophyceae
 Phaeodactylum tricornutum
 Thalassiosira pseudonana
 Navicula pelliculosa
 Navicula cf. perminuta
 Nitzschia lecointei
 Fragilariopsis cylindrus
 Cyclotella cryptica
 Cyclotella mereghiniana
Campylobacteria
 Sulfurimonas denitrificans
Bacilli
 Bacillus subtilis
 
Dickson and Kirst, 1987a
Dawson et al., 2020
Dawson et al., 2020
Dawson et al., 2020
Dawson et al., 2020
Dawson et al., 2020
Dickson and Kirst, 1987a
Dickson and Kirst, 1987a
 
Götz et al., 2018
 
Brill et al., 2011; Hoffmann et al., 2013
Trigonelline
137.17 Dinophyceae
 Prorocentrum minimum
Bacillariophyceae
 Skeletonema costatum
 Thalassiosira pseudonana
Prasinophyceae
 Tetraselmis sp.
Prymnesiophyceae
 Chrysochromulina sp.
 Emiliania huxleyi
 
Gebser and Pohnert., 2013 

Keller et al., 1999a
Dawson et al., 2020
 
Keller et al., 1999a
 
Keller et al., 1999a
Gebser and Pohnert., 2013
Trimethylamine N-oxide
75.11 Bacillariophyceae
 Fragillariopsis cylindris
Gammaproteobacteria (Gram -ve)
 Shewanella massilia
 Shewanella baltica
 Photobacterium angustum
 Vibrio alginolyticus
 Vibrio fluvialis
 Vibrio neocaledonicus
 Marinobacter hydrocarbonoclasticus
Alphaproteobacteria
 Aminobacter aminovorans
 Ruegeria pomeroyi
 
Dawson et al., 2020
 
Dos Santos et al., 1998
Debevere et al., 2001
Yin et al., 2019
Yin et al., 2019
Yin et al., 2019
Yin et al., 2019
Yin et al., 2019

Raymond and Plopper, 2002
Lidbury et al., 2014

Nitrogenous osmolyte (N-osmolyte) distributions in marine phytoplankton and bacteria.

Of the N-osmolytes listed in Table 1 and reported in the literature, GBT has received the most attention (Mäkelä et al., 2019). While the role of GBT as a compatible solute has been extensively reported, it may also be used for the biosynthesis of other N-osmolytes, including chloine, sarcosine and carnitine (Boysen et al., 2022). As such, most of the studies reported in this section focus on GBT but we note that information is needed on a wider range of N-osmolytes to fully appreciate the significance of N-osmolytes in marine ecosystems.

The accumulation of specific osmolytes by bacteria depends on the level of osmotic stress, and the availability of substrates and osmolytes in the environment (Burg and Ferraris, 2008). Over diel cycles in the North Pacific Ocean, osmolytes exhibited the largest diel oscillations of all the metabolites detected, implying rapid turnover and metabolic roles beyond cell turgor maintenance (Boysen et al., 2021). This underlines the importance of GBT and other N-osmolytes as currencies for microbes in terms of the exchange of carbon (C) and N. In fact, labelling studies demonstrated that N derived from GBT made its way through the marine microbial community (Boysen et al., 2022). Although some groups of bacteria can access GBT as a source of N, C or energy, most bacteria target this compound for osmotic functions – many bacteria can transport it but not synthesise or break it down (McParland et al., 2021). In natural bacterial communities, 88% of GBT transported into cells remained unmetabolised (Boysen et al., 2022). The ability to break down GBT is a highly specialised metabolic activity (McParland et al., 2021). For example, SAR11 has a high affinity transporter for GBT (Noell and Giovannoni, 2019) and uses GBT as a source of methyl groups to fuel the methionine cycle (Boysen et al., 2022). Also, GBT transporters are found frequently in marine bacterial genomes and its transcripts can be detected in metatranscriptomic datasets (McParland et al., 2021). This further supports the importance of the compound in osmotic function. There was, however, substantial remineralisation of GBT as a C substrate in the global ocean transcriptome (McParland et al., 2021). In a seasonal study, prokaryotic GBT uptake was influenced mainly by sea surface temperature, salinity and macronutrient concentrations (Mausz et al., 2022). The uptake of this compound provides an effective alternative nutrient source for prokaryotes in marine systems and might be more widespread than previously thought (Mausz et al., 2022). Members of the Rhodobacteraceae have been found to metabolise MAs and GBT, providing an ammonium source to diatoms in co-culture (Zecher et al., 2020). This is proposed to occur in the phycosphere in the natural environment, demonstrating a nutritional benefit for diatoms to exude organic nitrogen compounds into the phycosphere (Zecher et al., 2020).

In a study of sinking particles across the South Atlantic Ocean, the metabolite profile was found to be dominated by GBT (Johnson et al., 2020). GBT also contributed a larger mole fraction in sinking material compared to surface material across several oceanic regions, indicating a widespread feature not linked to oceanographic location (Johnson et al., 2020). The high proportion of GBT was attributed to particle-associated microbial communities on the sinking particulates. Proline was also more dominant in sinking particles, suggesting both GBT and proline are important osmolytes at depth (Johnson et al., 2020).

GBT is also abundant in coral tissue, comprising 16% of coral tissue N (Hill, 2022). Corals have pathways for de novo synthesis as well as transport of GBT. It is proposed that GBT may be protective in warm water for reef-building corals, providing photoprotection from photon stress in these organisms, similar to descriptions for terrestrial plants (Hill, 2022).

Within phytoplankton, culture studies reveal that GBT production is relatively common, with GBT detected in 75% of the cultures analysed (Spielmeyer et al., 2011), though at lower concentrations than DMSP. GBT concentrations in phytoplankton have been found to depend strongly on growth conditions, including growth phase and nutrient limitation (Keller et al., 1999a; Keller et al., 1999b; Keller et al., 2004). In diatoms and a strain of the coccolithophore, Emiliania huxleyi, GBT production increased with both temperature and carbon dioxide levels (Spielmeyer and Pohnert, 2012). During a seasonal study in coastal temperate waters, GBT correlated with specific members of the dinoflagellate community in summer (Airs et al., 2023). Moreover a modelling study indicated GBT positively affects dinoflagellate fitness (Airs et al., 2023). The high cellular content of QA derivatives, such as GBT, has been shown to positively affect the buoyancy of marine phytoplankton (Boyd and Gradmann, 2002), indicating important roles beyond osmolarity. GBT is important for protection of drought, temperature and salt stress in higher plants (Sakamoto and Murata, 2002; Wang et al., 2010; Chen and Murata, 2011; Fan et al., 2012; Rivero et al., 2014). GBT has also been reported to stabilise antioxidant enzymes that can scavenge reactive oxygen species in plants (Liang et al., 2009), stabilise photosystem II (Papageorgiou and Murata, 1995; Huang et al., 2020) and accelerate the recovery of photosystem II in higher plants from heat stress (Li et al., 2014) or high light exposure (Kondo et al., 1999; Prasad and Saradhi, 2004) providing evidence of a photoprotective role for GBT (Wang et al., 2014; Li et al., 2021).

Analytical methods

Methods applied to the analysis of N-osmolytes have moved from stand-alone chromatography techniques, including thin layer chromatography (Storey and Wyn Jones, 1977; Dickson and Kirst, 1986) and high performance liquid chromatography, HPLC (Gorham, 1984), to hyphenated techniques utilising mass spectrometry, MS (Koc et al., 2002; Holm et al., 2003; Oufir et al., 2009; Airs and Archer, 2010; Spielmeyer et al., 2011; Beale and Airs, 2016; Ares et al., 2020). HPLC analysis typically comprised a cation exchange column and UV detection at a wavelength of 195 nm. The method required filtration of relatively large volumes of water (1-4 L) and was applied to measurements of phytoplankton cultures (Keller et al., 1999a; Keller et al., 1999b) and natural samples off the Gulf of Maine (Keller et al., 2004). The application of hyphenated LC-MS approaches yielded improvements in sensitivity (Airs and Archer, 2010; Beale and Airs, 2016), enabling smaller sample volumes. The LC-MS technique has been applied to QA analysis in coastal seawater (Airs and Archer, 2010; Beale and Airs, 2016), Atlantic Ocean (Airs and Archer, 2010) and Southern Ocean samples (Dall’Osto et al., 2017). Within the limited environmental sample sets analysed to date, osmolyte concentrations were highest in coastal systems (Keller et al., 2004; Airs and Archer, 2010; Airs et al., 2023), and Antarctic water influenced by sea ice (Dall’Osto et al., 2017). Osmolytes are particularly amenable to metabolomics methods, being among the most ubiquitous and abundant metabolites detected (Boysen et al., 2021; Johnson et al., 2020). This typically involves the filtration of large sample volumes, which is likely to be detrimental to accurate concentration measurements of osmolytes (Kiene and Slezak, 2006), but is very valuable for comparative studies of a wide range of metabolites (Boysen et al., 2021; Johnson et al., 2020). Absolute quantification is possible but requires addition of quantification standards for each compound to be quantified (Boysen et al., 2021). Normalisation techniques have been developed to optimise the use of internal standards for rectifying obscuring variation (the combined effect on peak areas of sample-matrix-induced ion suppression, injection volume, chromatographic quality and analytical drift) during analysis (Boysen et al., 2018).

While analysis of particulate-associated N-osmolytes has been possible for some time, methodology to determine dissolved concentrations of N-osmolytes in marine systems, together with other dissolved metabolites, has only recently been achieved via a cation exchange solid phase extraction method (Sacks et al., 2022). Sacks et al. (2022) achieved a limit of detection for dissolved GBT of 0.38 nM and reported concentrations of 2.5-5.2 nM in 3 marine samples. Mausz et al. (2022) applied an uptake kinetics approach of diluted and undiluted samples (Wright and Hobbie, 1966) to estimate the dissolved concentrations of GBT and choline in coastal seawater and determined them to be in the low nanomolar range (Mausz et al., 2022).

Volatile amines

Occurrence and role

Small volatile amines are nitrogen-containing molecules with the general formula RnNH(3-n); they are alkylated analogies of ammonia and N is in the -3 oxidation state. In seawater, the most reported low molecular weight amines are the methylamines (MAs), which exist as primary (monomethylamine; MMA), secondary (dimethylamine; DMA) and tertiary (trimethylamine; TMA) species (Abdul-Rashid et al., 1991; Gibb et al., 1999a; Gibb et al., 1999b; Gibb and Hatton, 2004; Dall’Osto et al., 2017; Cree et al., 2018; Dall’Osto et al., 2019). The MAs are highly soluble in water. At seawater pH they are predominantly protonated (cations), though in equilibrium with their neutral, gaseous forms. Table 2 shows physico-chemical characteristics of the MAs.

Table 2

Compound Abbreviation Formula Average mass (Da) BP (°C) 1 Kb2 pKb2 [MAH+]: [MA] at pH 8.2 [MAH+]: [MA] at pH 8.1
Ammonia AMM NH3 17.03 -33.0 1.79 x 10-5 9.3 50 63
Monomethylamine MMA CH3NH2 31.06 -6.3 45 x 10-5 10.6 285 357
Dimethylamine DMA (CH3)2NH 45.08 7.0 54 x 10-5 10.7 342 429
Trimethylamine TMA (CH3)3N 59.11 3-4 6.5 x 10-5 9.8 41 52

Physico-chemical constants for ammonia (NH3) and the methylamines (MAs).

The pH-dependent ratios of protonated to gaseous NH3 and MAs in seawater were calculated as .

The MAs have been detected at micromolar levels in estuarine environments. In cation form they can sorb to particles and fractionate between sediment porewaters and particles (Wang and Lee, 1990; Wang and Lee, 1993; Fitzsimons et al., 2005; Fitzsimons et al., 2006). The sorptive interactions between the MA and a particle surface are identical to those reported for NH3. An ionic bond can form between the cation and a negatively-charged surface group on the particle, while the neutral species can react with a carbonyl functional group (carbonyl addition) to form a covalent bond - this is not possible for TMA or QAs as the molecule must contain at least one N-H bond. Ionic bonding should be the major sorption pathway for MAs, given the predominance of the protonated form at seawater pH. However, carbonyl addition may occur, and has been proposed for amino acids (which contain a primary amino function group), analogous to melaniodin-type reactions (Henrichs and Sugai, 1993).

The sorption of MAs to particulates is reversible. For example, Wang and Lee (1993) compared adsorption and desorption coefficients for the MAs using 14C-MAs on an inter-tidal sediment, and found that 63-90% of the label was desorbed, with the extent of desorption corresponding to the number of methyl substituents (MMA < DMA < TMA). A study on the influence of sediment resuspension on estuarine water column concentrations of MAs revealed that particulate release accounted for > 90% of the dissolved MA increase measured over a tidal cycle (Fitzsimons et al., 2006).

Wang and Lee (1990) reported seasonal control on the concentrations of MAs in inter-tidal sediments, where an increase corresponded with annual senescence of salt marsh grasses. While increasing the land-air flux of MAs, this process also provides non-competitive substrates for methanogenic bacteria (King, 1984) and allows them to co-exist with sulphate-reducing bacteria that outcompete them for more energetically favourable molecules, such as acetate. As concentrations of the MAs are thought to represent under 1% of total sedimentary N (Burdige et al., 1995; Lee and Olsen, 1984), it was suggested that this N-fraction has limited environmental significance (Burdige et al., 1995). However, as interest grows in their potential influence on climate (Almeida et al., 2013), quantification of the MA flux from sediments, particularly inter-tidal sediments, will be an important part of elucidating their role in atmospheric processes.

Concentrations of volatile amines have been measured in both coastal and oceanic waters (e.g. Gibb et al., 1999a; Gibb and Hatton, 2004; Cree et al., 2018). In addition, concurrent water and air concentrations have been reported from a number of studies (Gibb et al., 1999b; Dall’Osto et al., 2017; Dall’Osto et al., 2019; Van Pinxteren et al., 2019); these are summarised in Table 3. Concentrations of MAs of up to 38 nM were measured in seawater by Gibb et al. (1995), though the most abundant MAs measured varied between studies. For example, MMA was the most abundant MA measured in the Mediterranean (Gibb et al., 1995) and Arabian Seas (Gibb et al., 1999a), while TMA was most abundant in samples measured in the English Channel and the Southern Ocean (Cree et al., 2018), where MMA was not detected. Higher MA concentrations were measured in samples from the Sea Surface Microlayer (up to 50 nM) but this study did not include analysis of TMA (Van Pinxteren et al., 2019).

Table 3

Location Sample [MA(aq)] [MA(g)] Most abundant MA Other amines detected Method Authors
Southern Ocean seawater bd-48 nM n/a TMA DMA SPME-GC-NPD Akenga and Fitzsimons (2024)
Western English Channel seawater 4-22 nM n/a TMA no SPME-GC-NPD Cree et al. (2018)
Mediterranean Sea seawater 3-38 nM n/a MMA no FI-GD-IC Gibb et al. (1995)
Arabian Sea Seawater, aerosol 0.2-22 nM 16-241 pmol m-3 MMA (ag)
MMA (g)
EA
(not quantified)
FI-GD-IC Gibb et al, (1999a); Gibb et al., (1999b)
Rhode Island (USA) Aerosol n/a 11-93 pmol m-3 DMA No Sep-Pak cartridge- GC-CLD Van Neste et al. (1987)
Hawaii (USA) Aerosol n/a 52-240 pmol m-3 DMA No Sep-Pak cartridge- GC-CLD Van Neste et al. (1987)
Sweden Aerosol n/a 0.16-2.8 nmol m-3 TMA MMA, DMA, DEA, TEA FI-GD-GC-NSD Grönberg et al. (1992)
Atlantic Ocean (Cape Verde) Sea surface microlayer, seawater, aerosol 20-50 nM (SSM) 0.2-5.6 ng m-3 DMA (TMA not measured) DEA UHPLC/ESI-Orbitrap-MS (ag);
IC (g) and (p)
Van Pinxteren et al. (2019)
Southern Ocean Seawater, aerosol bd-6.9 TMA (unquantified) TMA TEA, DPA (unconfirmed) SPME-GC-NPD; ATOFMS Dall’Osto et al. (2017); Dall’Osto et al. (2019)
Marguerite Bay, Antarctica Seawater bd-36 nM n/a MMA EA
(bd-1.9 nM)
FI-GD-IC Gibb and Hatton (2004)
Mace Head (Ireland), North Atlantic Aerosol n/a 0.4-56 ng m-3 DMA DEA IC (after extraction) Facchini et al. (2008)

Examples of methylamines’ concentrations measured in seawater and marine atmospheric samples, and those reported for other volatile amines.

Where samples from both matrices were collected the data is reported in the same column; other low molecular amines detected are also reported. bd, below limit of detection; SSM, sea surface microlayer; EA, ethylamine; DEA, diethylamine; TEA, triethylamine; DPA, dipropylamine; ATOFMS, atmospheric time of flight mass spectrometry; FI-GC-IC, flow injection-gas chromatography-ion chromatography; GC-CLD, gas chromatography-chemiluminescence detection; FI-GD-GC-NSD, flow injection-gas diffusion- gas chromatography-nitrogen selective detection; SPME-GC-NPD, solid phase microextraction-gas chromatography-nitrogen phosphorus detection; UHPLC/ESI-Orbitrap-MS, ultra-high performance liquid chromatography-electrospray ionisation-orbitrap mass spectrometry.

The concurrent detection of MAs in seawater and atmospheric samples has suggested an oceanic source for these analytes (Gibb et al., 1999a; Gibb et al., 1999b; Dall’Osto et al., 2017; Dall’Osto et al., 2019). Although Facchini et al. (2008) did not measure amine concentrations in waters of the North Atlantic, concentrations of DMA and diethylamine (DEA) in marine aerosol were highest during periods of increased biological activity. Interestingly, while Van Pinxteren et al. (2019) associated highest MA concentrations with biological activity through correlation with chlorophyll-a and fucoxanthin, a diatom pigment, flux calculations suggested that seawater may be a sink for DMA. While the production of MAs in the water column can be linked to the degradation of quaternary amines, such as GBT, trimethylamine oxide and choline (Lidbury et al., 2015), precursors for other detected amines, namely mono-, di- and triethylamine do not have obvious sources, via C-N bond cleavage, from within the marine organic nitrogen pool.

Figure 2 shows a range of MA concentrations reported for porewaters and seawater, and the atmospheric concentrations estimated, assuming sea-air exchange based on Henry’s Law (Leng et al., 2015; Dall’Osto et al., 2019). TMA was used as the representative MA for these calculations with its physical constants applied. Although the maximum values calculated are higher than reported atmospheric concentrations (Table 3) there is substantial overlap.

Figure 2

Figure 2

Estimates of the atmospheric concentrations of methylamines that could arise from sea-air exchange based on reported porewater and seawater concentrations. The porewater and seawater concentration ranges were obtained from Fitzsimons et al. (2023) and data from studies shown in Table 3, respectively. Trimethylamine (TMA) was used as a proxy as each compound has specific constants, and the concentrations calculated according to Leng et al. (2015). The seawater pH used was 8.2, and the pKa for TMA at 298 K.

Analytical methods

Given their low concentrations in marine samples, analytical methods employed for volatile amine analysis have typically employed a pre-concentration step. This step aims to both bring the compounds within the sensitivity of the instrument used for separation and detection and remove them from a complex sample matrix in advance of instrumental measurement. An early method employed microdiffusion of 50 mL seawater samples in an adapted Quikfit flask, adjusted to pH > 12, where the amines diffused into the flask headspace under heating over 24 hours, and were then captured in a small volume of dilute hydrochloric acid (Abdul-Rashid et al., 1991). While this method was applied to estuarine sediments and inshore waters, the small sample volume precluded measurements of oceanic samples with the lowest amine concentrations. Flow injection has been coupled with chromatography to achieve in-line pre-concentration of samples in several oceanic studies (Gibb et al., 1999a; Gibb et al., 1999b; Gibb and Hatton, 2004), where both seawater and atmospheric measurements were reported. Circulation diffusion was coupled with gas chromatography to measure amines in porewater and seawater (Yang et al., 1993). This method could detect amines in seawater down to 3 nM but required a sample volume of 1 L to measure the lowest concentrations, while a 0.5 L sample was sufficient for porewater samples.

Solid phase microextraction (SPME) coupled with gas chromatography (optimised for nitrogen molecules) has been recently used for analysis of seawater samples and has achieved limits of detection as low as any previously reported (Cree et al., 2018), enabling measurement of amines in water samples from the Southern Ocean (Dall’Osto et al., 2017; Dall’Osto et al., 2019). Limitations of this technique are the large sample volume required, and the time needed to extract each sample (1 L and 2.5 h, respectively). While the water samples are preserved after filtration (Cree et al., 2018), sample analysis and storage are limited with such large seawater volumes so installation of the gas chromatograph on board ship has been necessary for oceanic studies. Akenga and Fitzsimons (2024) developed an automated, in-line, preconcentration and sample injection procedure. The analytical method also employed SPME but with separate sample equilibration and extraction steps, which enabled them to achieve limits of detection for seawater samples that were close to those of Cree et al. (2018) while sample volumes (10 mL) were 100 x lower. This advance offers a systematic and standardized method for MA analysis in seawater and can significantly advance understanding of their abundance and role in marine systems.

The studies included in Table 3 show which MAs (and other volatile amines) were measured, the methodology employed, and which was most abundant. The number of analytes potentially detected was dependent on the method used (e.g. derivatization of analytes excludes TMA). Although each dataset of measurements is of considerable value, the low number of studies and the application of different analytical methods makes it difficult to compare data (Fitzsimons et al., 2023). Nonetheless, it is encouraging to see that the methods reported have been suitable for the measurement of MAs at the low concentrations expected for oceanic waters, and that the concentration ranges for water column measurements are broadly similar.

Synthesis and degradation of MAs and QAs

It is not completely understood how MAs can be formed in oxygenated marine waters. The fact that their concentration in marine sediments is at least one order of magnitude higher than in marine water columns suggests that MAs likely originate from anoxic marine sediment through microbial transformation of DOM. It is likely that TMA is the key molecule bridging the QA degradation cycle to the formation of MAs in oceanic waters through microbe-dependent and -independent pathways (see below).

There are at least four independent microbial pathways bridging the marine QA cycle to TMA formation: 1) bacterial degradation of choline to TMA via a glycyl radical containing choline-TMA lyase (Craciun and Balskus, 2012; Jameson et al., 2016b; Jameson et al., 2018); 2) degradation of GBT to TMA using a GBT reductase (Meyer et al., 1995); 3) reduction of TMAO to TMA through TMAO reductase (Barrett and Kwan, 1985) and 4) TMA formation from carnitine using a Rieske-containing carnitine oxygenase aerobically (Zhu et al., 2014) or through a coenzyme A (Co-A) dependent anaerobic pathway (Rajakovich et al., 2021). The first three pathways and Co-A dependent carnitine degradation are found in strict or facultative anaerobes. The carnitine oxygenase pathway was first characterized in aerobic human gut microbiota, and it remains to be established whether marine bacteria can indeed transform carnitine to TMA using this enzyme.

It is important to note that TMA may also be formed in the oxygenated marine water column independent of microbial transformation. A previous study has noted that betaine-containing lipids (e.g. diacylglyceryl trimethyl-β-alanine, DGTA) can spontaneously degrade to TMA. These non-phosphorus containing lipids are abundant in marine phytoplankton and may therefore represent an important source of oceanic TMA that has been overlooked (Vogel et al., 1990; Dembitsky, 1996).

The transformation of TMA to other MAs in the marine environment has also been studied over the past decade. TMA can be oxidised to DMA via either TMA dehydrogenase (Burgess et al., 2008) or through TMAO as the intermediate (Chen et al., 2011; Lidbury et al., 2014). Similarly, DMA oxidation to MMA can be catalysed by either a DMA dehydrogenase (Yang et al., 1995) or a DMA monooxygenase (Lidbury et al., 2017). MMA is further degraded to ammonium and CO2 through MMA dehydrogenase or a multi-step enzyme system involving two methylated amino acids as key intermediates (reviewed in Mausz and Chen, 2019). In the marine water column, MAs appear to serve as important C, N and energy sources for cosmopolitan marine microbes, particularly Alphaproteobacteria of the marine Roseobacter clade and the SAR11 clade (Chen et al., 2011; Sun et al., 2011; Lidbury et al., 2014; Lidbury et al., 2015; Lidbury et al., 2017).

The way forward

Interest in the occurrence and cycling of low molecular weight volatile amines and their precursor N-osmolytes in marine systems has increased considerably, with the former linked to processes influencing climate regulation. However, relatively little is known about the absolute concentrations of QAs and MAs in the global ocean compared to other biogeochemically relevant compounds, and this data is a key requirement for their future inclusion within marine models. While several analytical methods have been successfully applied to their determination, standardisation of methodology or inter-laboratory comparison studies would optimise confidence in datasets produced, through increased understanding of analytical variation and biases that can be incorporated into data interpretation. Small sample volume methods (50 mL) have been developed for measurement of QAs (Beale and Airs, 2016) and volatile amines (Akenga and Fitzsimons, 2024) in seawater, and these analytical advances can facilitate uncomplicated collection and preservation of samples throughout the world ocean for measurement of standing stocks and through dynamic periods of biological productivity. This will make a major contribution to the development of a substantial global database on their seawater concentrations, and can form the basis of models to quantify their significance within marine ecosystems.

Knowledge of metabolic pathways around the production and catabolism of these nitrogenous compounds is more advanced, but there remain significant gaps. For example, a convincing source of TMA in surface waters independent of anaerobic pathways has not been put forward. Given their widespread occurrence and utilisation by microbes, these low molecular weight compounds are emerging as a crucial underpinning currency in microbial food webs. As such, combined studies addressing biogeochemistry, analytical chemistry, transcriptomics and labelling studies are required to fully address research questions around these molecules.

The importance of QAs and MAs to marine biogeochemistry is further emphasised by the coupling of the nitrogen and sulphur cycles via their reliance on MAs for the oxidation of DMS to DMSO via the enzyme Tmm, and the use of the same enzyme for the oxidation of TMA to trimethylamine oxide (TMAO). The full ramifications of these intriguing links are yet to be established. Like DMSP and MAs, GBT can be a substrate for methanogens, providing important links to biological methane production.

Finally, metabolomics studies are really valuable for providing context across a wide range of marine metabolites (Durham et al., 2022). They can also provide focus for more targeted studies to better understand important processes, such as diel fluctuations of osmolytes and osmolyte use with depth.

Statements

Author contributions

MF: Funding acquisition, Supervision, Writing – original draft, Writing – review & editing. RA: Funding acquisition, Supervision, Writing – original draft, Writing – review & editing. YC: Funding acquisition, Writing – original draft, Writing – review & editing.

Funding

The author(s) declare that no financial support was received for the research, authorship, and/or publication of this article.

Acknowledgments

We are grateful to the Natural Environmental Research Council for a number of awards to support our understanding of methylamines and their analysis in marine systems ((NE/1528542/1; NE/R010382/1; NE/P008526/1). We thank Jamie Quinn (UoP) for the preparation of Figure 2 and Drs Manuel Dall’Osto and Marco Paglione for advice on sea-air exchange calculations. Finally, we are grateful to the reviewers for their constructive feedback and recommendations for improving the article.

Conflict of interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Publisher’s note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

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Summary

Keywords

amines, marine, biogeochemistry, microbial pathways, analytical techniques, sea-air exchange

Citation

Fitzsimons MF, Airs R and Chen Y (2024) The occurrence and biogeochemical cycling of quaternary, ternary and volatile amines in marine systems. Front. Mar. Sci. 11:1466221. doi: 10.3389/fmars.2024.1466221

Received

17 July 2024

Accepted

06 November 2024

Published

20 December 2024

Volume

11 - 2024

Edited by

Nicholas David Ward, Pacific Northwest National Laboratory (DOE), United States

Reviewed by

Angie Boysen, Pacific Lutheran University, United States

Richard Hill, Michigan State University, United States

Updates

Copyright

*Correspondence: Mark F. Fitzsimons,

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All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.

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