Next Article in Journal
Synthesis of Metarhizium anisopliae–Chitosan Nanoparticles and Their Pathogenicity against Plutella xylostella (Linnaeus)
Next Article in Special Issue
Phytoplankton Surveys in the Arctic Fram Strait Demonstrate the Tiny Eukaryotic Alga Micromonas and Other Picoprasinophytes Contribute to Deep Sea Export
Previous Article in Journal
Comparative Study of Real-Time PCR (TaqMan Probe and Sybr Green), Serological Techniques (ELISA, IFA and DAT) and Clinical Signs Evaluation, for the Diagnosis of Canine Leishmaniasis in Experimentally Infected Dogs
Previous Article in Special Issue
Effects of UV Radiation on the Chlorophyte Micromonas polaris Host–Virus Interactions and MpoV-45T Virus Infectivity
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Use of Stress Signals of Their Attached Bacteria to Monitor Sympagic Algae Preservation in Canadian Arctic Sediments

by
Rémi Amiraux
1,2,3,
Bonin Patricia
1,
Burot Christopher
1 and
Rontani Jean-François
1,*
1
CNRS/INSU/IRD, Mediterranean Institute of Oceanography (MIO), UM 110, Aix-Marseille University, Université de Toulon, 13288 Marseille, France
2
UMR 6539 Laboratoire des Sciences de l’Environnement Marin, (CNRS, UBO, IRD, Ifremer) Institut, Universitaire Européen de la Mer (IUEM), 29280 Plouzané, France
3
Takuvik Joint International Laboratory, Département de Biologie, Laval University (Canada)—CNRS, Université Laval, Québec, QC G1V 0A6, Canada
*
Author to whom correspondence should be addressed.
Microorganisms 2021, 9(12), 2626; https://doi.org/10.3390/microorganisms9122626
Submission received: 26 November 2021 / Revised: 12 December 2021 / Accepted: 14 December 2021 / Published: 20 December 2021
(This article belongs to the Special Issue Polar Microbes)

Abstract

:
Based on the strong aggregation of sympagic (ice-associated) algae and the high mortality or inactivity of bacteria attached to them, it was previously hypothesized that sympagic algae should be significant contributors to the export of carbon to Arctic sediments. In the present work, the lipid content of 30 sediment samples collected in the Canadian Arctic was investigated to test this hypothesis. The detection of high proportions of trans vaccenic fatty acid (resulting from cis-trans isomerase (CTI) activity of bacteria under hypersaline conditions) and 10S-hydroxyhexadec-8(trans)-enoic acid (resulting from 10S-DOX bacterial detoxification activity in the presence of deleterious free palmitoleic acid) confirmed: (i) the strong contribution of sympagic material to some Arctic sediments, and (ii) the impaired physiological status of its associated bacterial communities. Unlike terrestrial material, sympagic algae that had escaped zooplanktonic grazing appeared relatively preserved from biotic degradation in Arctic sediments. The expected reduction in sea ice cover resulting from global warming should cause a shift in the relative contributions of ice-associated vs. pelagic algae to the seafloor, and thus to a strong modification of the carbon cycle.

1. Introduction

In the Canadian Arctic, primary production is supported by sympagic (ice-associated) algae dominated by pennate diatoms and more specifically by the Naviculaceae [1] or by the centric diatom Melosira arctica [2] during the ice-covered period, and then by phytoplankton in open waters [3,4]. The contribution of sympagic algae to total primary production varies widely depending on the season and the region [5,6]. Because of global warming (causing a decrease in sea ice extent and duration), we are currently witnessing a reduced primary production of the sympagic algae and an increase in that of pelagic phytoplankton. Sympagic algae are assumed to be a main source of organic matter reaching the seafloor [2,7,8,9]. It is therefore feared that in the future, the biological pump would have a positive feedback effect on global warming. The high contribution of sympagic algae to Arctic sediments was previously attributed to: (i) their strong aggregation resulting from the high concentrations of extracellular polymeric substances (EPSs) produced by these organisms in the ice, which protects biogenic silica of diatom frustules from dissolution [10] and induces quick settling in the water column (100–500 m d−1; [11]); (ii) the fact that aggregated microalgae are not favored prey particles for grazers [12]; and (iii) the poor physiological status of their associated bacterial communities (inducing weak mineralization [7] and biogenic silica dissolution [13] in the water column and surface sediments). These bacterial communities are damaged by: (i) intense osmotic stress induced by changes in salinity in brine channels during the early stage of ice melting [7], and (ii) the production of bactericidal free fatty acids (FFAs) by sympagic algae latter in the season under the effect of light stress [14].
It is well-known that bacteria colonize nearly all types of particulate organic matter (POM) (e.g., phytodetritus, zooplanktonic fecal pellets, aggregated sympagic algae, and EPS particles [15]). Attachment of bacteria to particles may be favored by the presence of EPSs, which can act as biological glue [16,17]. In sea ice, more than 50% of the bacterial community were found to be associated with particles [18], while the contribution of attached bacteria to the total bacterial production was found to be highly variable in POM (ranging from 0 to 98% in the Beaufort Sea [19,20]). Particle attachment is very important for the sinking export of bacteria, since the sinking velocities of attached bacteria are significantly higher than those of free-living bacteria [21]. This partly explains the overwhelming proportion of bacteria attached to particles in marine sediments [22].
To survive under hypersaline conditions, bacteria have developed various strategies, such as (i) implementation of active Na+ and K+ ion transport systems [23]; (ii) accumulation of osmocompatible compounds such as glycine betaine or proline [24]; or (iii) production of EPSs, which can act as a diffusion barrier [25]. Another major adaptive response of bacteria of the Pseudomonas and Vibrio genera is to maintain their membrane fluidity by conversion of cis to trans unsaturated fatty acids through the activity of cis-trans isomerases (CTIs) [26,27]. Guckert et al. [28] have proposed a trans/cis ratio >0.1 as an indicator of bacterial stress. A relatively strong CTI activity was previously observed in sea ice and sinking particles collected at the beginning of the melting period in western Baffin Bay (trans/cis ratio and trans-vaccenic flux ranging at 25 m from 0.12 to 0.50 g:g and 0 to 4.0 µg d−1 m−2, respectively) [7,8] and was attributed to the flush of bacteria associated with sympagic algae from internal hypersaline ice brines [14]. The relative stability of trans/cis ratios with depth suggested that bacterial communities associated with sinking sympagic algae were non-growing and thus inactive. Indeed, in the absence of osmotic stress (as is the case in the water column), the trans/cis ratio of bacteria should decrease to a base level [29], requiring de novo synthesis of cis fatty acids [30] and thus bacterial growth. The similarity of these ratios observed in the water column and in sediments of western Baffin Bay (mean value 0.22 and 0.23 g:g, respectively [7]) is also indicative of a weak colonization of sinking particles and sediments by unstressed pelagic and benthic bacteria.
FFAs damage bacterial cellular membranes [31,32]. These compounds can also inhibit some enzyme activity, disrupt electron transport chains, and uncouple oxidative phosphorylation [33]. Bacteria attached to sympagic diatoms are particularly sensitive to the antibacterial activity of free palmitoleic acid produced by these algae under increasing light intensity [34]. To detoxify this acid, some bacteria of the Pseudomonas, Pseudoalteromonas, and Shewanella genera [35,36] present in Arctic sea ice [37] use a 10-dioxygenase (10S-DOX) able to convert palmitoleic acid to 10S-hydroperoxyhexadec-8(trans)-enoic acid. The flux of this enzymatic oxidation product previously measured in western Baffin Bay at 25 m ranged from 0 to 93 µg m−2 d−1 [7]. Despite this detoxification strategy, most of the bacteria associated with sinking sympagic algae (up to 70%) at the end of ice melting (when osmotic stress ceased) have disrupted membranes and may thus be considered dead [14]. However, importantly, 10S-DOX may also be utilized by bacteria to detoxify FFAs released by wounded pelagic diatoms in the presence of copepods [38].
Given that: (i) only bacteria attached to particles (such as aggregated phytodetritus) possess sufficient sinking rates to reach the seafloor and (ii) in the Arctic, sea ice is the largest source of salinity stress (owing to its extent and brine contents), previous observation of high proportions of trans monounsaturated fatty acids in some Arctic sediment samples [7,8,39] was attributed to the presence of sea ice biota in this material.
To confirm this expected strong contribution of sympagic material to the seafloor, we examined the lipid content of 30 sediment samples collected in the Canadian Arctic (Figure 1). Despite the recent development of several indices based on the relative proportions of highly branched isoprenoids (HBIs; IP25 and tri-unsaturated HBIs) to estimate relative proportions of sympagic vs. pelagic production [40,41,42,43], some uncertainties remain about the nature of POM reaching the seafloor. In particular, processes affecting the sinking organic matter and its lipid content through the water column down to the seafloor (such as degradation and remineralization) need further investigation. The aim of this work was thus to use new indicators of the osmotic and chemical stress status of bacteria associated with sympagic material (trans-vaccenic acid and 10S-hydroxyhexadec-8(trans)-enoic acid, respectively) to estimate: (i) the contribution of the sympagic material to the investigated sediments and (ii) the status of the bacteria associated with it. Ratios of stanols (widespread bacterial biohydrogenation products of sterols [44,45]) to their parent sterols were also used to confirm the impaired ability of stressed bacteria to degrade sympagic material.

2. Materials and Methods

2.1. Sediment Sampling

Two contrasting regions were selected, namely the Canadian Beaufort Shelf and Baffin Bay. The Beaufort Shelf is a perennially stratified interior shelf influenced by Pacific-derived waters supplied via the Beaufort Gyre and the Alaskan coastal current [46]. Sediments of this seasonally ice-covered shelf are strongly influenced by the Mackenzie River [47], the largest river draining into the Arctic in terms of sediment and POM [48]. The Mackenzie shelf functions as a vast estuary receiving inputs of both terrestrial and marine sources of organic matter [49]. By contrast, Baffin Bay is characterized by a strong spatial sea ice variability resulting from the inflow of the West Greenland Current (WGC) composed of the relatively warm Atlantic Irminger Current (IC), which restricts sea ice extent in its eastern part [50]. The sedimentation rates appeared to be relatively similar in the two zones investigated ranging from 0.04 to 0.20 cm yr−1 in the Beaufort Shelf [51,52] and from 0.06 to 0.11 cm yr−1 in Baffin Bay [52]. Depths of the different sampling stations (ranging from 7 to 2017 m) are given in Supplementary Table S2.
Sediment samples were collected from a broad range of locations (Figure 1) within the Canadian Arctic using an USNEL box corer (50 × 50 × 40 cm3) on board the CCGS Amundsen in 2005 (ArcticNet survey), 2008 (IPY-CFL), 2009 (Malina campaign), and 2015 and 2016 (GreenEdge campaigns). Although a significant decrease in ice concentration under the effect of global warming between 2005 and 2016 was logically to be expected [53], vertical particulate organic carbon (POC) exports recorded in the Mackenzie Shelf from 1987 to 2006 (ranging from 1.6 to 1.8 g C m−2 yr−1 [54,55,56]) seemed relatively unaffected. Moreover, similar values were measured in the Amundsen Gulf (ranging from 2.4 and 6.8 g C m−2 yr−1 [56,57]) and in Baffin Bay (ranging from 1.1 to 6.7 g C m−2 yr−1 [56,58]) justifying a comparative study of the different sediment samples investigated. From each box core, one sample of ca. 50 cm2 was collected from intact sediment surface (0–1 cm) and frozen immediately at −80 °C for later analysis.

2.2. Lipid Analysis

Samples were reduced with excess NaBH4 after addition of MeOH (25 mL, 30 min) to reduce labile hydroperoxides to alcohols, which are more amenable to analysis using gas chromatography-mass spectrometry (GC–MS). Water (25 mL) and KOH (2.8 g) were then added and the resulting mixture saponified (to break complex lipids down into their constituent fatty acids) by refluxing (2 h). After cooling, the mixture was acidified (HCl, 2 N) to pH 1 and extracted with dichloromethane (DCM; 3 × 20 mL). The combined DCM extracts were dried over anhydrous Na2SO4, filtered and concentrated by rotary evaporation at 40 °C to give total lipid extracts (TLEs). Aliquots of TLEs were either silylated and analyzed by gas chromatography-electron impact quadrupole time-of-flight mass spectrometry (GC-QTOF) for monounsaturated fatty acid oxidation product quantification, or methylated, then treated with dimethyldisulfide (DMDS) and analyzed by GC-MS/MS to determine double-bond stereochemistry. Cis and trans isomers of monounsaturated fatty acid methyl esters react with DMDS stereospecifically to form threo and erythro adducts, which exhibit similar mass spectra, but are well-separated by gas chromatography, allowing unambiguous double-bond stereochemistry determination [59].

2.3. Derivatization

The derivatization method used was silylation allowing the replacement of the active hydrogen atom of carboxylic and alcoholic groups of acids and hydroxyacids by a trimethylsilyl group in one step. TLEs were silylated by dissolving them in 300 µL of a mixture of pyridine and BSTFA (N,O-Bis(triméthylsilyl)trifluoroacétamide; Supelco; 2:1, v/v) and heating to 50 °C (1 h). After evaporation to dryness under a stream of N2, the derivatized residue was dissolved in a mixture of hexane and BSTFA (to avoid desilylation) and analyzed by GC-MS/MS or GC-QTOF.

2.4. Determination of Double-Bond Stereochemistry

TLEs were dissolved in 2 mL of BF3/methanol (10%) (Sigma-Aldrich, St. Louis, MO, USA) and heated at 80 °C (1 h) in a screw-cap flask to obtain fatty acid methyl esters (FAMEs). After cooling, an excess of water was added and FAMEs were extracted three times with hexane, dried over anhydrous Na2SO4, filtered on Whatman cellulose filters (diameter 90 mm, porosity 11 µm), concentrated using rotary evaporation, and transferred to screw-cap flasks. After solvent removal (N2), 200 μL of DMDS (Sigma-Aldrich, St. Louis, MO, USA) and 50 μL of iodine solution (60 μg μL−1 in diethyl ether) were added. The mixtures were shaken and heated at 50 °C (48 h), excess iodine was removed by addition of 2 mL of a 5% Na2S2O3 solution, and lipids were extracted three times with 1 mL of hexane. The extracts were dried with anhydrous Na2SO4, filtered, and concentrated prior to analysis by GC–MS/MS.

2.5. 10S-DOX Degradation Estimate

Taking into account the production of equal amounts of 9-trans and 10-trans allylic hydroxyacids during the photooxidation and autoxidation of the Δ9 monounsaturated fatty acid [60,61] and their specific allylic rearrangement to 11-trans and 8-trans isomers, respectively [62], the contribution of the 10S-DOX degradation was obtained by difference between (10-trans + 8-trans) and (9-trans + 11-trans) oxidation products of palmitoleic acid [63].

2.6. Gas Chromatography/Tandem Mass Spectrometry

GC-MS and GC-MS/MS analyses were performed using an Agilent 7890A/7000A tandem quadrupole gas chromatograph system (Agilent Technologies, Parc Technopolis—ZA Courtaboeuf, Les Ulis, France). A cross-linked 5% phenyl-methylpolysiloxane (Agilent; HP-5MS, Agilent Technologies, Parc Technopolis—ZA Courtaboeuf, Les Ulis, France) (30 m × 0.25 mm, 0.25 μm film thickness) capillary column was used. Analyses were performed with an injector operating in pulsed splitless mode set at 270 °C and the oven temperature was programmed from 70 °C to 130 °C at 20 °C min−1, then to 250 °C at 5 °C min-1 and then to 300 °C at 3 °C min−1. The pressure of the carrier gas (He) was maintained at 0.69 × 105 Pa until the end of the temperature program and then programmed from 0.69 × 105 Pa to 1.49 × 105 Pa at 0.04 × 105 Pa min−1. The mass spectrometric conditions were: electron energy, 70 eV; source temperature, 230 °C; quadrupole 1 temperature, 150 °C; quadrupole 2 temperature, 150 °C; collision gas (N2) flow, 1.5 mL min−1; quench gas (He) flow, 2.25 mL min−1; mass range, 50–700 Daltons; cycle time, 313 ms. Quantification was carried out with external standards in multiple reaction monitoring (MRM) mode. Precursor ions were selected from the more intense ions (and specific fragmentations) observed in electron ionization (EI) mass spectra.

2.7. Gas Chromatography-EI Quadrupole Time of Flight Mass Spectrometry

Accurate mass measurements were carried out in full scan mode using an Agilent 7890B/7200 GC-QTOF System (Agilent Technologies, Parc Technopolis—ZA Courtaboeuf, Les Ulis, France). A cross-linked 5% phenyl-methylpolysiloxane (Agilent; HP-5MS ultra inert) (30 m × 0.25 mm, 0.25 μm film thickness) capillary column was used. Analyses were performed with an injector operating in pulsed splitless mode set at 270 °C and the oven temperature was programmed from 70 °C to 130 °C at 20 °C min−1 and then to 300 °C at 5 °C min−1. The pressure of the carrier gas (He) was maintained at 0.69 × 105 Pa until the end of the temperature program. Instrument temperatures were 300 °C for the transfer line and 230 °C for the ion source. Nitrogen (1.5 mL min−1) was used as collision gas. Accurate mass spectra were recorded across the range m/z 50–700 at 4 GHz with the collision gas opened. The QTOF-MS instrument provided a typical resolution ranging from 8009 to 12,252 from m/z 68.9955 to 501.9706. Perfluorotributylamine (PFTBA) was used for daily MS calibration. Compounds were identified by comparing their TOF mass spectra, accurate masses, and retention times with those of standards. Each compound was quantified by extraction of specific accurate fragment ions, peak integration, and determination of individual response factors using external standards and Mass Hunter software (Agilent Technologies, Parc Technopolis—ZA Courtaboeuf, Les Ulis, France).

2.8. Statistical Analysis

The variable investigated being non-parametric, Spearman correlations were performed to determine the correlation between the depth and the trans/cis ratio or 10S-DOX degradation percentage. Mann–Whitney–Wilcoxon tests were performed to identify any significant differences in (i) trans/cis ratio and 10S-DOX degradation percentage between Baffin Bay and the Beaufort Sea and (ii) sterol:stanol ratio percentage between sitosterol and brassicasterol.

3. Results and Discussion

3.1. Contribution of Sympagic Material to Arctic Sediments

The main fatty acids detected in the TLEs of the different sediments examined were C14:0, C16:0, C18:0, C16:1ω7 (palmitoleic), C18:1ω9 (oleic), and C18:1ω7 (vaccenic) acids. These results are in close agreement with previous observations in surface sediments from the Beaufort Sea [64] and the Baffin Bay (Amiraux, unpublished data). Concentrations of palmitoleic acid (well-known to be the main fatty acid component of diatoms [65,66]) and vaccenic acid (typically of bacterial origin, [33,34]) were highly variable ranging from 0.2 to 1220 µg g−1 and 0.5 to 149 µg g−1, respectively (Supplementary Table S1). As previously observed [8,64], sediments of the Beaufort Shelf, which are under the influence of the Mackenzie River, had high contents of classical tracers of terrestrial higher plants (e.g., betulin, amyrins, dehydroabietic acid, and cutin components [67,68]).
Trans/cis ratios of vaccenic acid were measured after DMDS treatment in the different surface sediment samples investigated (Figure 2). The results obtained (Figure 1, Table 1, and Supplementary Table S2) showed significantly higher values in the Beaufort Sea than in Baffin Bay (mean ± SE = 0.20 ± 0.03 and 0.06 ± 0.02 (g:g), respectively; W = 210, p < 0.01). The efficiency of sympagic–benthic coupling should logically be better in shallower zones. This assumption is well supported by the good anticorrelation observed between trans/cis ratio and depth of the different stations (Spearman’s rho = −0.67, p < 0.01).
A strong contribution sympagic material to the sediments of the Beaufort Sea is well supported by the high ratios previously measured in surface sediments of other stations in this zone (0.65 ± 0.15 g:g, n = 6) [39]. It was previously observed that bacterial osmotic stress resulting from hypersaline conditions in brine channels occurred only during the early stages of ice melting and not at the end of the melting season [7,14]. The sympagic material reaching the seafloor of the Beaufort Sea thus seems to be discharged from sea ice at the beginning of melting. The high trans/cis ratios observed (Figure 1; Table 1) ruled out a significant contribution of sympagic algae released in the water column at the advanced stages of ice melting and open water phytoplankton to the sediments. A strong contribution of such material (exhibiting very low and no CTI activity, respectively [14,69]) to the sediment should strongly lower the trans/cis ratios (by adding bacteria unstressed by salinity with trans/cis ratios < 0.1). This assumption is firmly supported by the results of Morata et al. [70], who observed that inputs of sympagic algae to the sediment started to increase from January/February in the Beaufort Sea, while sympagic algal bloom occurred between mid-March and late May [71]. Juul-Pedersen et al. [72] also observed a sinking export of sympagic algal material in the same zone during winter and early spring (i.e., well before the onset of spring melt). The amount of diatoms exported to the seafloor strongly depends on a match or mismatch between algal production and zooplankton grazing [73]. It is generally considered that copepods do not feed at chlorophyll concentrations < 1 µg L−1 [74].
The very low chlorophyll concentrations measured in POM between February and March in the Beaufort Sea (0.002–0.003 µg L−1 [70]) should thus not favor zooplankton grazing on sympagic algae during this period. We note that an increase in zooplankton fecal pellet production was observed during this same period [75]; however, those authors attributed it to the grazing of non-pigmented sources of food, such as microzooplankton.
Chlorophyll concentration increases strongly in surface waters in late spring and summer at the end of ice melting and during open water diatom bloom (up to 5 µg L−1 [76]) favoring grazing of sympagic [77] and pelagic algae by copepods. Coprophagy can then reduce losses by sinking of the resulting fecal pellets at only a few percent of the pellet production rate [78]. Bacterial decomposition by non-stressed internal bacteria is another mechanism that could prevent pellets sinking to the seafloor [79,80]. Forest et al. [81] previously estimated that 97% of the primary-produced C was grazed or degraded in the water column of the Amundsen Gulf. The remaining 3% reaching the seafloor thus seem mainly composed of sympagic algae associated with bacteria stressed by salinity and released during the early stages of ice melting. This view is well supported by earlier observations of Morata and Renaud [82]. These authors analyzed sedimentary pigments in the Beaufort Sea and concluded that in the spring, sympagic-algal production largely influenced organic matter inputs to the benthos, while in the summer grazing was responsible for inputs of degraded material.
Whereas a high CTI activity was previously observed in sea ice and sinking particles during the early stages of ice melting and in sediments from a landfast ice station located at Qikiqtarjuaq near Broughton Island (western Baffin Bay, [7]), trans/cis ratios were found to be particularly weak in middle and eastern Baffin Bay (Figure 1). Interestingly, Yunda-Guarin et al. [8] found more sea ice-derived particulate organic carbon in surface sediments in the western side than in the eastern side of Baffin Bay. These authors attributed this difference to the timing of sea ice retreat. Ice cover is greater in the western part of Baffin Bay than in its eastern side, which is influenced by warmer waters from the western streams of Greenland [83]. Moreover, recently calculated ecological network analysis indices reveal that the complex eastern Baffin Bay food web favors the classical grazing chain, while the shorter western food web induces a higher carbon export [84]. Based on these results, the contrasting high trans/cis ratio observed in sediments from Qikiqtarjuaq (Figure 1) may be due to a large contribution of sympagic material containing bacteria stressed by salinity. This hypothesis is supported by the similarity of trans/cis ratios previously observed at this station in sinking particles and in surface sediments [7]. The very low ratios observed in the other samples from eastern Baffin Bay (Figure 1) are in close agreement with the higher contributions of pelagic carbon observed by Yunda-Guarin et al. [8] in these zones.
10S-Hydroxyhexadec-8(trans)-enoic acid arising from NaBH4 reduction in the corresponding hydroperoxide was detected in most of the sediments investigated (Figure 1 and Figure 3; Supplementary Table S2). The percentages of this hydroxyacid (relative to the parent palmitoleic acid and its degradation products) observed in Baffin Bay and the Beaufort Sea were not significatively different (mean ± SE = 15.20 ± 2.80 and 13.64 ± 1.80%, respectively; W = 130.5, p = 0.69). The presence of this compound is indicative of bacterial 10S-DOX oxidation of palmitoleic acid [85]. This enzymatic activity seems to be a detoxification strategy enabling sympagic bacteria to survive the production of deleterious free palmitoleic acid [33,86] by sympagic algae [14]. We note that despite this detoxification strategy a high mortality of attached bacteria could previously be observed in sea ice during the sympagic bloom [14]. It was recently observed that 10S-DOX could also be employed by some pelagic bacteria to detoxify free palmitoleic acid released by wounded diatoms in the presence of copepods [38]. The lack of correlation observed between the percentage of 10S-hydroxyhexadec-8(trans)-enoic acid and depth (Spearman’s rho = −0.22, p = 0.25) suggests a mixed contribution of sympagic and pelagic bacteria to the sedimentary 10S-DOX signal. Although 10S-hydroxyhexadec-8(trans)-enoic acid is thus not sufficiently specific for use as a marker of the contribution of sympagic material to Arctic sediments, it is indicative of the presence of bacteria whose membranes are altered by FFAs. The bacterial communities present in Arctic sediments are thus in part non-growing (i.e., stressed by salinity in brine channels of ice) or dead (i.e., stressed by FFAs in ice or in the water column).
It is generally considered that the deposited algal aggregates are overgrown within a few weeks to months by specific bacterial groups of the surrounding sediment [87], which are likely better adapted to deep-sea environment than surface-derived bacteria [88]. In the Arctic, these benthic bacteria are dominated by members of the Roseobacter clade (i.e., the genera Neptunomonas, Arcobacter, and Sedimentitalea [87]), which all contain large proportions of cis-vaccenic acid [89,90,91]. The lack of dilution of trans/cis ratios of this acid observed in surface sediments from the Beaufort Sea and northern and western Baffin Bay (Figure 1; Table 1) is thus very surprising. In these zones, sympagic-derived aggregates reaching the seafloor do not appear to be intensively colonized by benthic bacteria. This absence of colonization may be attributed to the presence of bactericidal FFAs (notably palmitoleic acid) in these aggregates attested by the 10S-DOX activity observed in most of them (Figure 1; Supplementary Table S2).

3.2. Impact of Stress State of Bacteria on the Degradation of Sympagic Material in Sediments

It is generally considered that the lifetime of organic compounds in marine sediments depends on environmental conditions such as bioturbation, physical mixing, and the presence or absence of oxygen and other electron acceptors [92]. The benthic fauna inhabiting the seafloor is known to: (i) modify the vertical zonation of respiration reactions, (ii) control microbial community assembly, (iii) change the distribution of organic matter (OM), and (iv) influence rates of microbial OM remineralization in surface sediments [93]. Preservation/degradation of OM also depends on its sources [94]; terrestrial vascular debris generally contain greater proportions of refractory organic carbon than algal material, owing to their geochemical composition [95]. The non-growing or dead state of bacteria associated with sympagic algae should strongly impact the degradation conditions of this material in Arctic sediments. Since the conversion of Δ5-stenol to stanol is generally considered as indicating an intense bacterial degradation [96,97], we compared the stanol/Δ5-stenol ratios of 24-methylcholesta-5,22-dien-3β-ol (brassicasterol) (common sterol of sympagic diatoms; [98]) and 24-ethylcholest-5-en-3β-ol (sitosterol) (sterol present in some diatoms but also widely distributed in terrestrial vascular plants [99]) in sediment samples from the Beaufort Sea where the highest bacterial stresses were observed (Table 1). We note that in these sediments sitosterol is known to result mainly from terrigenous material [64,100]. The stanol/Δ5-stenol ratios obtained for the two sterols were significantly different (mean ± SE = 18.2 ± 1.9% and 52.8 ± 5.9%, for brassicasterol and sitosterol respectively; W = 36, p < 0.01, Table 2). In the case of brassicasterol, the values observed were close to those found in healthy phototrophic organisms (5–20% [101,102]), attesting to the good biotic preservation of the algal material. By contrast, the measured sitostanol/sitosterol ratio reflects a strong biodegradation of this terrigenous sterol and supports the results of Gõni et al. [103], who estimated that 65% of the old and fossil carbon is respired or buried in the Mackenzie delta. On entering the sea, terrestrial organic matter thus seems to undergo strong bacterial remineralization. This could be attributed to the involvement of “priming effects” (enhanced remineralization of terrestrial OM in the presence of fresh substrates from pelagic algal sources; [104,105,106]). By contrast, aggregated sympagic material sinking quickly through the water column with bacteria of poor health status appears well-preserved in surface sediments.
Under warmer conditions, the Arctic carbon cycle, which is mostly driven by the primary production (sympagic and pelagic algae) and the riverine inputs (including permafrost [107]), will be impacted. Although the contributions of these sources to the exported carbon have recently been estimated [2,108,109,110], their burial efficiency, impacting Arctic CO2 storage remains uncertain. Here, we monitored their biotic behavior with specific lipid tracers in several surface sediment samples collected in the Canadian Arctic. We show that in the Beaufort Sea and northern and western Baffin Bay, unlike phytoplankton and permafrost, sympagic algae organic matter released during the early stages of ice melt by brine drainage contributes significantly to the exported and buried carbon, owing to: (i) the weak zooplanktonic grazing activity during this period, (ii) its strong aggregation enhancing rates of sinking to the seafloor, and (iii) its recalcitrance to demineralizing processes. This particular resistance to biodegradation results from the non-growing (inactive) and dead state of bacteria associated with this sympagic material (Figure 4).
We note that Koch et al. [111] previously estimated fluxes of sympagic diatoms in northern Bering and Chukchi Seas with HBI tracers and observed the highest fluxes in July (i.e., at the end and not in the early stages of ice melting). These observations contrasting with ours may be attributed to the particularly strong pelagic–benthic coupling of northern Bering and Chukchi Seas resulting from low grazing pressure due to temporal mismatch between zooplankton and sympagic algae production [112] and the shallowness of these zones [113]. However, an effect of the climate of specific years when the research was carried out cannot be totally excluded. Match or mismatch of zooplanktonic grazing with sympagic algae fluxes seems to be a true key factor controlling the export of sympagic material to the seafloor (Figure 4). In the future, it will be of interest to analyze several Arctic sediments to determine whether the conclusions of this work can be extended to other Arctic Zones. During these comparative studies, it will be necessary to use the same research protocol (i.e., the same tracers).

Supplementary Materials

The following are available online at https://www.mdpi.com/article/10.3390/microorganisms9122626/s1, Table S1: Depth, coordinates, and concentrations (µg g−1) of the main lipids of interest in the different surface sediments investigated, Table S2: Depth, coordinates, trans-vaccenic acid/cis-vaccenic acid ratio, and percentage of 10S-DOX product of the different surface sediments investigated.

Author Contributions

R.A., R.J.-F. and B.P. were responsible for the design of the study; R.J.-F. and R.A. did the writing; R.A. performed the analysis of lipids, with contributions from B.C. and R.J.-F. All authors have read and agreed to the published version of the manuscript.

Funding

This study was conducted as part of the ArcticNet survey, IPY-CFL project, Malina and the GreenEdge scientific program. The Malina program was funded by ANR (Agence Nationale de la Recherche), INSU-CNRS (Institut National des Sciences de l’Univers—Centre National de la Recherche Scientifique), the LEFE-CYBER program, CNES (Centre National d’études Spatiales), the European Commission (Marie Skłodowska-Curie Actions), ESA (European Space Agency), and ArcticNet. The GreenEdge project was funded by the following French and Canadian programs and agencies: ANR (Contract #111112), CNES (project #131425), IPEV (project #1164), CSA, Fondation Total, ArcticNet, LEFE, and the French Arctic Initiative (GreenEdge project).

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

Not applicable.

Acknowledgments

This project would not have been possible without the support of the Hamlet of Qikiqtarjuaq and the members of the community, together with the Inuksuit School and its Principal Jacqueline Arsenault. The project was conducted under the scientific coordination of the Canada Excellence Research Chair on Remote Sensing of Canada’s new Arctic frontier and the CNRS and Université Laval Takuvik Joint International laboratory (UMI3376). The field campaign was successful thanks to the contributions of J. Ferland, G. Bécu, C. Marec, J. Lagunas, F. Bruyant, J. Larivière, E. Rehm, S. Lambert-Girard, C. Aubry, C. Lalande, A. LeBaron, C. Marty, J. Sansoulet, D. Christiansen-Stowe, A. Wells, M. Benoît-Gagné, E. Devred, and M.-H. Forget from the Takuvik laboratory, C.J. Mundy from the University of Manitoba together with F. Pinczon du Sel and E. Brossier from Vagabond. We also thank Québec-Océan, the CCGS Amundsen, and the Polar Continental Shelf Program for their in-kind contribution in polar logistic and scientific equipment. We especially thank G. Massé for the seafloor surface sediment material, and three anonymous reviewers for their useful and very constructive comments.

Conflicts of Interest

The authors declare they have no conflicts of interest.

References

  1. Poulin, M.; Daugbjerg, N.; Gradinger, R.; Ilyash, L.; Ratkova, T.; von Quillfeldt, C. The pan-Arctic biodiversity of marine pelagic and sea-ice unicellular eukaryotes: A first-attempt assessment. Mar. Biodiv. 2011, 41, 13–28. [Google Scholar] [CrossRef]
  2. Boetius, A.; Albrecht, S.; Bakker, K.; Bienhold, C.; Felden, J.; Fernández-Méndez, M.; Hendricks, S.; Katlein, C.; Lalande, C.; Krumpen, T.; et al. Export of Algal Biomass from the Melting Arctic Sea Ice. Science 2013, 339, 1430–1432. [Google Scholar] [CrossRef]
  3. Gosselin, M.; Levasseur, M.; Wheeler, P.A.; Horner, R.A.; Booth, B.C. New measurements of phytoplankton and ice algal production in the Arctic Ocean. Deep-Sea Res. Part II 1997, 44, 1623–1644. [Google Scholar] [CrossRef]
  4. Wassmann, P.; Duarte, C.M.; AgustÍ, S.; Sejr, M.K. Footprints of climate change in the Arctic marine ecosystem. Glob. Chang. Biol. 2011, 17, 1235–1249. [Google Scholar] [CrossRef]
  5. Loose, B.; Miller, L.A.; Elliott, S.; Papakyriakou, T. Sea ice biogeochemistry and material transport across the frozen interface. Oceanography 2011, 24, 202–218. [Google Scholar] [CrossRef]
  6. Fernández-Méndez, M.; Katlein, C.; Rabe, B.; Nicolaus, M.; Peeken, I.; Bakker, K.; Flores, H.; Boetius, A. Photosynthetic production in the central Arctic Ocean during the record sea-ice minimum in 2012. Biogeosciences 2015, 12, 3525–3549. [Google Scholar] [CrossRef] [Green Version]
  7. Amiraux, R.; Belt, S.T.; Vaultier, F.; Galindo, V.; Gosselin, M.; Bonin, P.; Rontani, J.-F. Monitoring photo-oxidative and salinity-induced bacterial stress in the Canadian Arctic using specific lipid tracers. Mar. Chem. 2017, 194, 89–99. [Google Scholar] [CrossRef]
  8. Rontani, J.-F.; Amiraux, R.; Lalande, C.; Babin, M.; Kim, H.-R.; Belt, S.T. Use of palmitoleic acid and its oxidation products for monitoring the degradation of ice algae in Arctic waters and bottom sediments. Org. Geochem. 2018, 124, 88–102. [Google Scholar] [CrossRef] [Green Version]
  9. Yunda-Guarin, G.; Brown, T.A.; Michel, L.N.; Saint-Béat, B.; Amiraux, R.; Nozais, C.; Archambault, P. Reliance of deep-sea benthic macrofauna on ice-derived organic matter highlighted by multiple trophic markers during spring in Baffin Bay, Canadian Arctic. Elementa 2020, 8, 047. [Google Scholar] [CrossRef]
  10. Moriceau, B.; Garvey, M.; Ragueneau, O.; Passow, U. Evidence for reduced biogenic silica dissolution rates in diatom aggregates. Mar. Ecol. Prog. Ser. 2007, 333, 129–142. [Google Scholar] [CrossRef]
  11. Riebesell, U.; Schloss, I.; Smetacek, V. Aggregation of algae released from melting sea ice—Implications for seeding and sedimentation. Polar Biol. 1991, 11, 239–248. [Google Scholar] [CrossRef]
  12. Lürling, M.; Van Donk, E. Zooplankton-induced unicell-colony transformation in Scenedesmus acutus and its effect on growth of herbivore Daphnia. Oecologia 1996, 108, 432–437. [Google Scholar] [CrossRef] [PubMed]
  13. Bidle, K.D.; Brzezinski, M.A.; Long, R.A.; Jones, J.L.; Azam, F. Diminished efficiency in the oceanic silica pump caused by bacteria-mediated silica dissolution. Limnol. Oceanogr. 2003, 48, 1855–1868. [Google Scholar] [CrossRef] [Green Version]
  14. Amiraux, R.; Burot, C.; Bonin, P.; Guasco, S.; Babin, M.; Rontani, J.-F. Stress factors resulting from the Arctic vernal sea ice melt: Impact on the viability of the bacterial communities associated to sympagic algae. Elementa 2020, 8, 076. [Google Scholar] [CrossRef]
  15. Rieck, A.; Herlemann, D.P.; Jürgens, K.; Grossart, H.-P. Particle-associated differ from free-living bacteria in surface waters of the Baltic Sea. Front. Microbiol. 2015, 6, 1297. [Google Scholar] [CrossRef] [Green Version]
  16. Alldredge, A.L.; Silver, M.W. Characteristics, dynamics and significance of marine snow. Prog. Oceangr. 1988, 20, 41–82. [Google Scholar] [CrossRef]
  17. Riedel, A.; Michel, C.; Gosselin, M. Seasonal study of sea-ice exopolymeric substances on the Mackenzie shelf: Implications for transport of sea-ice bacteria and algae. Aquat. Microb. Ecol. 2006, 45, 195–206. [Google Scholar] [CrossRef]
  18. Junge, K.; Eicken, H.; Deming, J.W. Bacterial activity at −2 to −20 °C in Arctic wintertime sea ice. Appl. Environ. Microbiol. 2004, 70, 550–557. [Google Scholar] [CrossRef] [Green Version]
  19. Garneau, M.-È.; Vincent, W.F.; Terrado, R.; Lovejoy, C. Importance of particle-associated bacterial heterotrophy in a coastal Arctic ecosystem. J. Mar. Syst. 2009, 75, 185–197. [Google Scholar] [CrossRef]
  20. Ortega-Retuerta, E.; Jeffrey, W.; Babin, M.; Bélanger, S.; Benner, R.; Marie, D.; Matsuoka, A.; Raimbault, P.; Joux, F. Carbon fluxes in the Canadian Arctic: Patterns and drivers of bacterial abundance, production and respiration on the Beaufort Sea margin. Biogeosciences 2012, 9, 3679–3692. [Google Scholar] [CrossRef] [Green Version]
  21. Lapoussière, A.; Michel, C.; Starr, M.; Gosselin, M.; Poulin, M. Role of free-living and particle-attached bacteria in the recycling and export of organic material in the Hudson Bay system. J. Mar. Syst. 2011, 88, 434–445. [Google Scholar] [CrossRef]
  22. Meyer-Reil, L.-A. Bacterial biomass and heterotrophic activity in sediments and overlying waters. In Heterotrophic Activity in the Sea; Springer: Berlin/Heidelberg, Germany, 1984; pp. 523–546. [Google Scholar]
  23. Thompson, J.; MacLeod, R.A. Functions of Na+ and K+ in the active transport of α-aminoisobutyric acid in a marine pseudomonad. J. Biol. Chem. 1971, 246, 4066–4074. [Google Scholar] [CrossRef]
  24. Piuri, M.; Sanchez-Rivas, C.; Ruzal, S. Adaptation to high salt in Lactobacillus: Role of peptides and proteolytic enzymes. J. Appl. Microbiol. 2003, 95, 372–379. [Google Scholar] [CrossRef]
  25. Kim, L.H.; Chong, T.H. Physiological Responses of Salinity-Stressed Vibrio sp. and the Effect on the Biofilm Formation on a Nanofiltration Membrane. Environ. Sci. Technol. 2017, 51, 1249–1258. [Google Scholar] [CrossRef]
  26. Loffeld, B.; Keweloh, H. Cis/trans isomerization of unsaturated fatty acids as possible control mechanism of membrane fluidity in Pseudomonas putida P8. Lipids 1996, 31, 811–815. [Google Scholar] [CrossRef]
  27. Heipieper, H.J.; Meinhardt, F.; Segura, A. The cis-trans isomerase of unsaturated fatty acids in Pseudomonas and Vibrio: Biochemistry, molecular biology and physiological function of a unique stress adaptive mechanism. FEMS Microbiol. Lett. 2003, 229, 1–7. [Google Scholar] [CrossRef] [Green Version]
  28. Guckert, J.; Hood, M.; White, D. Phospholipid ester-linked fatty acid profile changes during nutrient deprivation of Vibrio cholerae: Increases in the trans/cis ratio and proportions of cyclopropyl fatty acids. Appl. Environ. Microbiol. 1986, 52, 794–801. [Google Scholar] [CrossRef] [Green Version]
  29. Fischer, J.; Schauer, F.; Heipieper, H.J. The trans/cis ratio of unsaturated fatty acids is not applicable as biomarker for environmental stress in case of long-term contaminated habitats. Appl. Microbiol. Biotechnol. 2010, 87, 365–371. [Google Scholar] [CrossRef]
  30. Eberlein, C.; Baumgarten, T.; Starke, S.; Heipieper, H.J. Immediate response mechanisms of Gram-negative solvent-tolerant bacteria to cope with environmental stress: Cis-trans isomerization of unsaturated fatty acids and outer membrane vesicle secretion. Appl. Microbiol. Biotechnol. 2018, 102, 2583–2593. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  31. Greenway, D.; Dyke, K. Mechanism of the inhibitory action of linoleic acid on the growth of Staphylococcus aureus. Microbiology 1979, 115, 233–245. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  32. Chamberlain, N.R.; Mehrtens, B.; Xiong, Z.; Kapral, F.; Boardman, J.; Rearick, J. Correlation of carotenoid production, decreased membrane fluidity, and resistance to oleic acid killing in Staphylococcus aureus 18Z. Infect. Immun. 1991, 59, 4332–4337. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  33. Desbois, A.P.; Smith, V.J. Antibacterial free fatty acids: Activities, mechanisms of action and biotechnological potential. Appl. Microbiol. Biotechnol. 2010, 85, 1629–1642. [Google Scholar] [CrossRef] [Green Version]
  34. 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, 621–639. [Google Scholar] [CrossRef] [PubMed]
  35. Guerrero, A.; Casals, I.; Busquets, M.; Leon, Y.; Manresa, A. Oxydation of oleic acid to (E)-10-hydroperoxy-8-octadecenoic and (E)-10-hydroxy-8-octadecenoic acids by Pseudomonas sp. 42A2. Biochim. Biophys. Acta (BBA)-Lipids Lipid Metab. 1997, 1347, 75–81. [Google Scholar] [CrossRef]
  36. Shoja Chaghervand, S. Characterization of the Enzymes Involved in the Diolsynthase Pathway in Pseudomonas aeruginosa. Ph.D. Thesis, Universitat de Barcelona, Barcelona, Spain, 2019. [Google Scholar]
  37. Amiraux, R.; Rontani, J.-F.; Armougom, F.; Frouin, E.; Babin, M.; Artigue, L.; Bonin, P. Bacterial diversity and lipid biomarkers in sea ice and sinking particulate organic material during the melt season in the Canadian Arctic. Elementa 2021, 9, 1–17. [Google Scholar] [CrossRef]
  38. Rontani, J.-F.; Smik, L.; Vaultier, F.; Widdicombe, C.; Belt, S.T. Seasonal monitoring of lipid degradation processes in the western English Channel links bacterial 10S-DOX enzyme activity to free fatty acid production by phytoplankton. Mar. Chem. 2021, 230, 103928. [Google Scholar] [CrossRef]
  39. Rontani, J.; Charriere, B.; Forest, A.; Heussner, S.; Vaultier, F.; Petit, M.; Delsaut, N.; Fortier, L.; Sempéré, R. Intense photooxidative degradation of planktonic and bacterial lipids in sinking particles collected with sediment traps across the Canadian Beaufort Shelf (Arctic Ocean). Biogeosciences 2012, 9, 7743–7781. [Google Scholar] [CrossRef] [Green Version]
  40. Belt, S.T.; Smik, L.; Köseoğlu, D.; Knies, J.; Husum, K. A novel biomarker-based proxy for the spring phytoplankton bloom in Arctic and sub-arctic settings–HBI T25. Earth Planet. Sci. Lett. 2019, 523, 115703. [Google Scholar] [CrossRef]
  41. Smik, L.; Cabedo-Sanz, P.; Belt, S.T. Semi-quantitative estimates of paleo Arctic sea ice concentration based on source-specific highly branched isoprenoid alkenes: A further development of the PIP25 index. Org. Geochem. 2016, 92, 63–69. [Google Scholar] [CrossRef]
  42. Brown, T.A.; Yurkowski, D.J.; Ferguson, S.H.; Alexander, C.; Belt, S.T. H-Print: A new chemical fingerprinting approach for distinguishing primary production sources in Arctic ecosystems. Environ. Chem. Lett. 2014, 12, 387–392. [Google Scholar] [CrossRef]
  43. Brown, T.A.; Belt, S.T.; Gosselin, M.; Levasseur, M.; Poulin, M.; Mundy, C.J. Quantitative estimates of sinking sea ice particulate organic carbon based on the biomarker IP25. Mar. Ecol. Prog. Ser. 2016, 546, 17–29. [Google Scholar] [CrossRef] [Green Version]
  44. Wakeham, S.G. Reduction of stenols to stanols in particulate matter at oxic–anoxic boundaries in sea water. Nature 1989, 342, 787–790. [Google Scholar] [CrossRef]
  45. De Leeuw, J.; Baas, M. Early-stage diagenesis of steroids. Methods Geochem. Geophys. 1986, 24, 101–123. [Google Scholar]
  46. Bergeron, M.; Tremblay, J.É. Shifts in biological productivity inferred from nutrient drawdown in the southern Beaufort Sea (2003–2011) and northern Baffin Bay (1997–2011), Canadian Arctic. Geophys. Res. Lett. 2014, 41, 3979–3987. [Google Scholar] [CrossRef]
  47. Rachold, V.; Eicken, H.; Gordeev, V.; Grigoriev, M.N.; Hubberten, H.-W.; Lisitzin, A.P.; Shevchenko, V.; Schirrmeister, L. Modern terrigenous organic carbon input to the Arctic Ocean. In The Organic Carbon Cycle in the Arctic Ocean; Springer: Berlin/Heidelberg, Germany, 2004; pp. 33–55. [Google Scholar]
  48. Macdonald, R.; Solomon, S.; Cranston, R.; Welch, H.; Yunker, M.; Gobeil, C. A sediment and organic carbon budget for the Canadian Beaufort Shelf. Mar. Geol. 1998, 144, 255–273. [Google Scholar] [CrossRef]
  49. Magen, C.; Chaillou, G.; Crowe, S.A.; Mucci, A.; Sundby, B.; Gao, A.; Makabe, R.; Sasaki, H. Origin and fate of particulate organic matter in the southern Beaufort Sea—Amundsen Gulf region, Canadian Arctic. Estuar. Coast. Shelf Sci. 2010, 86, 31–41. [Google Scholar] [CrossRef]
  50. Myers, P.G.; Kulan, N.; Ribergaard, M.H. Irminger water variability in the West Greenland Current. Geophys. Res. Lett. 2007, 34, 1–6. [Google Scholar] [CrossRef]
  51. Richerol, T.; Rochon, A.; Blasco, S.; Scott, D.B.; Schell, T.M.; Bennett, R.J. Evolution of paleo sea-surface conditions over the last 600 years in the Mackenzie Trough, Beaufort Sea (Canada). Mar. Micropaleontol. 2008, 68, 6–20. [Google Scholar] [CrossRef]
  52. Kuzyk, Z.Z.A.; Gobeil, C.; Macdonald, R.W. 210Pb and 137Cs in margin sediments of the Arctic Ocean: Controls on boundary scavenging. Glob. Biogeochem. Cycles 2013, 27, 422–439. [Google Scholar] [CrossRef]
  53. Comiso, J.C.; Hall, D.K. Climate trends in the Arctic as observed from space. Wiley Interdiscip. Rev. Clim. Chang. 2014, 5, 389–409. [Google Scholar] [CrossRef]
  54. O’Brien, M.C.; Macdonald, R.W.; Melling, H.; Iseki, K. Particle fluxes and geochemistry on the Canadian Beaufort Shelf: Implications for sediment transport and deposition. Cont. Shelf Res. 2006, 26, 41–81. [Google Scholar] [CrossRef]
  55. Forest, A.; Sampei, M.; Hattori, H.; Makabe, R.; Sasaki, H.; Fukuchi, M.; Wassmann, P.; Fortier, L. Particulate organic carbon fluxes on the slope of the Mackenzie Shelf (Beaufort Sea): Physical and biological forcing of shelf-basin exchanges. J. Mar. Syst. 2007, 68, 39–54. [Google Scholar] [CrossRef]
  56. Lalande, C.; Forest, A.; Barber, D.G.; Gratton, Y.; Fortier, L. Variability in the annual cycle of vertical particulate organic carbon export on Arctic shelves: Contrasting the Laptev Sea, Northern Baffin Bay and the Beaufort Sea. Cont. Shelf Res. 2009, 29, 2157–2165. [Google Scholar] [CrossRef]
  57. Forest, A.; Bélanger, S.; Sampei, M.; Sasaki, H.; Lalande, C.; Fortier, L. Three-year assessment of particulate organic carbon fluxes in Amundsen Gulf (Beaufort Sea): Satellite observations and sediment trap measurements. Deep Sea Res. Part I 2010, 57, 125–142. [Google Scholar] [CrossRef]
  58. Hargrave, B.; Walsh, I.; Murray, D. Seasonal and spatial patterns in mass and organic matter sedimentation in the North Water. Deep Sea Res. Part II 2002, 49, 5227–5244. [Google Scholar] [CrossRef]
  59. Buser, H.R.; Arn, H.; Guerin, P.; Rauscher, S. Determination of double bond position in mono-unsaturated acetates by mass spectrometry of dimethyl disulfide adducts. Anal. Chem. 1983, 55, 818–822. [Google Scholar] [CrossRef]
  60. Frankel, E.N. Lipid Oxidation; The Oily Press: Dundee, Scotland, 1998. [Google Scholar]
  61. Marchand, D.; Rontani, J.-F. Characterisation of photo-oxidation and autoxidation products of phytoplanktonic monounsaturated fatty acids in marine particulate matter and recent sediments. Org. Geochem. 2001, 32, 287–304. [Google Scholar] [CrossRef]
  62. Porter, N.A.; Caldwell, S.E.; Mills, K.A. Mechanisms of free radical oxidation of unsaturated lipids. Lipids 1995, 30, 277–290. [Google Scholar] [CrossRef]
  63. Galeron, M.-A.; Radakovitch, O.; Charriere, B.; Vaultier, F.; Volkman, J.K.; Bianchi, T.S.; Ward, N.D.; Medeiros, P.M.; Sawakuchi, H.O.; Tank, S. Lipoxygenase-induced autoxidative degradation of terrestrial particulate organic matter in estuaries: A widespread process enhanced at high and low latitude. Org. Geochem. 2018, 115, 78–92. [Google Scholar] [CrossRef] [Green Version]
  64. Belicka, L.L.; Macdonald, R.W.; Yunker, M.B.; Harvey, H.R. The role of depositional regime on carbon transport and preservation in Arctic Ocean sediments. Mar. Chem. 2004, 86, 65–88. [Google Scholar] [CrossRef]
  65. Fahl, K.; Kattner, G. Lipid content and fatty acid composition of algal communities in sea-ice and water from the Weddell Sea (Antarctica). Polar Biol. 1993, 13, 405–409. [Google Scholar] [CrossRef]
  66. Falk-Petersen, S.; Sargent, J.R.; Henderson, J.; Hegseth, E.N.; Hop, H.; Okolodkov, Y.B. Lipids and fatty acids in ice algae and phytoplankton from the Marginal Ice Zone in the Barents Sea. Polar Biol. 1998, 20, 41–47. [Google Scholar] [CrossRef]
  67. Kolattukudy, P. Cutin, suberin, and waxes. In Lipids: Structure and Function; Elsevier: Amsterdam, The Netherlands, 1980; pp. 571–645. [Google Scholar]
  68. Otto, A.; Simoneit, B.R. Chemosystematics and diagenesis of terpenoids in fossil conifer species and sediment from the Eocene Zeitz formation, Saxony, Germany. Geochim. Cosmochim. Acta 2001, 65, 3505–3527. [Google Scholar] [CrossRef]
  69. Rontani, J.-F.; Charrìère, B.; Petit, M.; Vaultier, F.; Heipieper, H.; Link, H.; Chaillou, G.; Sempere, R. Degradation state of organic matter in surface sediments from the Southern Beaufort Sea: A lipid approach. Biogeosciences 2012, 9, 3513–3530. [Google Scholar] [CrossRef] [Green Version]
  70. Morata, N.; Poulin, M.; Renaud, P.E. A multiple biomarker approach to tracking the fate of an ice algal bloom to the sea floor. Polar Biol. 2011, 34, 101–112. [Google Scholar] [CrossRef] [Green Version]
  71. Brown, T.A.; Belt, S.T.; Philippe, B.; Mundy, C.J.; Massé, G.; Poulin, M.; Gosselin, M. Temporal and vertical variations of lipid biomarkers during a bottom ice diatom bloom in the Canadian Beaufort Sea: Further evidence for the use of the IP25 biomarker as a proxy for spring Arctic sea ice. Polar Biol. 2011, 34, 1857–1868. [Google Scholar] [CrossRef]
  72. Juul-Pedersen, T.; Michel, C.; Gosselin, M.; Seuthe, L. Seasonal changes in the sinking export of particulate material under first-year sea ice on the Mackenzie Shelf (western Canadian Arctic). Mar. Ecol. Prog. Ser. 2008, 353, 13–25. [Google Scholar] [CrossRef] [Green Version]
  73. Nadaï, G.; Nöthig, E.-M.; Fortier, L.; Lalande, C. Early snowmelt and sea ice breakup enhance algal export in the Beaufort Sea. Prog. Oceangr. 2021, 190, 102479. [Google Scholar] [CrossRef]
  74. Saunders, P.; Deibel, D.; Stevens, C.; Rivkin, R.B.; Lee, S.; Klein, B. Copepod herbivory rate in a large arctic polynya and its relationship to seasonal and spatial variation in copepod and phytoplankton biomass. Mar. Ecol. Prog. Ser. 2003, 261, 183–199. [Google Scholar] [CrossRef] [Green Version]
  75. Seuthe, L.; Darnis, G.; Riser, C.W.; Wassmann, P.; Fortier, L. Winter–spring feeding and metabolism of Arctic copepods: Insights from faecal pellet production and respiration measurements in the southeastern Beaufort Sea. Polar Biol. 2007, 30, 427–436. [Google Scholar] [CrossRef]
  76. Sherr, E.B.; Sherr, B.F.; Hartz, A.J. Microzooplankton grazing impact in the Western Arctic Ocean. Deep Sea Res. Part II 2009, 56, 1264–1273. [Google Scholar] [CrossRef]
  77. Michel, C.; Legendre, L.; Ingram, R.; Gosselin, M.; Levasseur, M. Carbon budget of sea-ice algae in spring: Evidence of a significant transfer to zooplankton grazers. J. Geophys. Res. Ocean. 1996, 101, 18345–18360. [Google Scholar] [CrossRef]
  78. Paffenhöfer, G.; Knowles, S.C. Ecological implications of fecal pellet size, production and consumption by copepods. J. Mar. Res. 1979, 37, 35–49. [Google Scholar]
  79. Gowing, M.; Silver, M. Origins and microenvironments of bacteria mediating fecal pellet decomposition in the sea. Mar. Biol. 1983, 73, 7–16. [Google Scholar] [CrossRef]
  80. Smetacek, V.S. Role of sinking in diatom life-history cycles: Ecological, evolutionary and geological significance. Mar. Biol. 1985, 84, 239–251. [Google Scholar] [CrossRef]
  81. Forest, A.; Tremblay, J.-É.; Gratton, Y.; Martin, J.; Gagnon, J.; Darnis, G.; Sampei, M.; Fortier, L.; Ardyna, M.; Gosselin, M.; et al. Biogenic carbon flows through the planktonic food web of the Amundsen Gulf (Arctic Ocean): A synthesis of field measurements and inverse modeling analyses. Prog. Oceangr. 2011, 91, 410–436. [Google Scholar] [CrossRef]
  82. Morata, N.; Renaud, P.E. Sedimentary pigments in the western Barents Sea: A reflection of pelagic-benthic coupling? Deep Sea Res. Part II 2008, 55, 2381–2389. [Google Scholar] [CrossRef]
  83. Tang, C.C.L.; Ross, C.K.; Yao, T.; Petrie, B.; DeTracey, B.M.; Dunlap, E. The circulation, water masses and sea-ice of Baffin Bay. Prog. Oceangr. 2004, 63, 183–228. [Google Scholar] [CrossRef]
  84. Saint-Béat, B.; Fath, B.D.; Aubry, C.; Colombet, J.; Dinasquet, J.; Fortier, L.; Galindo, V.; Grondin, P.-L.; Joux, F.; Lalande, C. Contrasting pelagic ecosystem functioning in eastern and western Baffin Bay revealed by trophic network modeling. Elementa 2020, 8. [Google Scholar] [CrossRef]
  85. Martínez, E.; Hamberg, M.; Busquets, M.; Díaz, P.; Manresa, A.; Oliw, E.H. Biochemical characterization of the oxygenation of unsaturated fatty acids by the dioxygenase and hydroperoxide isomerase of Pseudomonas aeruginosa 42A2. J. Biol. Chem. 2010, 285, 9339–9345. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  86. Monfort, P.; Demers, S.; Levasseur, M. Bacterial dynamics in first year sea ice and underlying seawater of Saroma-ko Lagoon (Sea of Okhotsk, Japan) and Resolute Passage (High Canadian Arctic): Inhibitory effects of ice algae on bacterial dynamics. Can. J. Microbiol. 2000, 46, 623–632. [Google Scholar] [CrossRef]
  87. Rapp, J.Z.; Fernández-Méndez, M.; Bienhold, C.; Boetius, A. Effects of ice-algal aggregate export on the connectivity of bacterial communities in the central Arctic Ocean. Front. Microbiol. 2018, 9, 1035. [Google Scholar] [CrossRef]
  88. Tamburini, C.; Boutrif, M.; Garel, M.; Colwell, R.R.; Deming, J.W. Prokaryotic responses to hydrostatic pressure in the ocean–A review. Environ. Microbiol. 2013, 15, 1262–1274. [Google Scholar] [CrossRef] [PubMed]
  89. Kim, H.M.; Hwang, C.Y.; Cho, B.C. Arcobacter marinus sp. nov. Int. J. Syst. Evol. 2010, 60, 531–536. [Google Scholar] [CrossRef]
  90. Kim, H.S.; Hyun, D.-W.; Lee, J.-Y.; Kim, P.S.; Whon, T.W.; Kang, W.; Bae, J.-W. Sedimentitalea todarodis sp. nov., isolated from the intestinal tract of a Japanese flying squid. Int. J. Syst. Evol. 2016, 66, 3293–3298. [Google Scholar] [CrossRef] [PubMed]
  91. Yang, S.-H.; Seo, H.-S.; Lee, J.-H.; Kim, S.-J.; Kwon, K.K. Neptunomonas acidivorans sp. nov., isolated from sediment, and emended description of the genus Neptunomonas. Int. J. Syst. Evol. 2014, 64, 3650–3654. [Google Scholar] [CrossRef] [Green Version]
  92. Wakeham, S.G.; Canuel, E.A. Degradation and preservation of organic matter in marine sediments. Mar. Org. Matter Biomark. Isot. DNA 2006, 2, 295–321. [Google Scholar] [CrossRef]
  93. Deng, L.; Bölsterli, D.; Kristensen, E.; Meile, C.; Su, C.-C.; Bernasconi, S.M.; Seidenkrantz, M.-S.; Glombitza, C.; Lagostina, L.; Han, X. Macrofaunal control of microbial community structure in continental margin sediments. Proc. Natl. Acad. Sci. USA 2020, 117, 15911–15922. [Google Scholar] [CrossRef]
  94. Keaveney, E.M.; Radbourne, A.D.; McGowan, S.; Ryves, D.B.; Reimer, P.J. Source and quantity of carbon influence its sequestration in Rostherne Mere (UK) sediment: A novel application of stepped combustion radiocarbon analysis. J. Paleolimnol. 2020, 64, 347–363. [Google Scholar] [CrossRef]
  95. Lacey, J.H.; Leng, M.J.; Vane, C.H.; Radbourne, A.D.; Yang, H.; Ryves, D.B. Assessing human impact on Rostherne Mere, UK, using the geochemistry of organic matter. Anthropocene 2018, 21, 52–65. [Google Scholar] [CrossRef] [Green Version]
  96. Nishimura, M. Geochemical characteristics of the high reduction zone of stenols in Suwa sediments and the environmental factors controlling the conversion of stenols into stanols. Geochim. Cosmochim. Acta 1978, 42, 349–357. [Google Scholar] [CrossRef]
  97. Gagosian, R.B.; Smith, S.O.; Lee, C.; Farrington, J.W.; Frew, N.M. Steroid transformations in recent marine sediments. Phys. Chem. Earth 1980, 12, 407–419. [Google Scholar] [CrossRef]
  98. Belt, S.T.; Brown, T.A.; Smik, L.; Assmy, P.; Mundy, C. Sterol identification in floating Arctic sea ice algal aggregates and the Antarctic sea ice diatom Berkeleya adeliensis. Org. Geochem. 2018, 118, 1–3. [Google Scholar] [CrossRef]
  99. Volkman, J. Sterols in microorganisms. Appl. Microbiol. Biotechnol. 2003, 60, 495–506. [Google Scholar] [CrossRef] [PubMed]
  100. Gõni, M.A.; Yunker, M.B.; Macdonald, R.W.; Eglinton, T.I. Distribution and sources of organic biomarkers in Arctic sediments from the Mackenzie River and Beaufort Shelf. Mar. Chem. 2000, 71, 23–51. [Google Scholar] [CrossRef]
  101. Wakeham, S.G.; Hedges, J.I.; Lee, C.; Peterson, M.L.; Hernes, P.J. Compositions and transport of lipid biomarkers through the water column and surficial sediments of the equatorial Pacific Ocean. Deep Sea Res. Part II 1997, 44, 2131–2162. [Google Scholar] [CrossRef]
  102. Killops, S.D.; Killops, V.J. Introduction to Organic Geochemistry; John Wiley & Sons: Hoboken, NJ, USA, 2013. [Google Scholar]
  103. Gõni, M.A.; Yunker, M.B.; Macdonald, R.W.; Eglinton, T.I. The supply and preservation of ancient and modern components of organic carbon in the Canadian Beaufort Shelf of the Arctic Ocean. Mar. Chem. 2005, 93, 53–73. [Google Scholar] [CrossRef]
  104. Bianchi, T.S. The role of terrestrially derived organic carbon in the coastal ocean: A changing paradigm and the priming effect. Proc. Natl. Acad. Sci. USA 2011, 108, 19473–19481. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  105. Bianchi, T.S.; Cui, X.; Blair, N.E.; Burdige, D.J.; Eglinton, T.I.; Galy, V. Centers of organic carbon burial and oxidation at the land-ocean interface. Org. Geochem. 2018, 115, 138–155. [Google Scholar] [CrossRef]
  106. Bonin, P.; Prime, A.-H.; Galeron, M.-A.; Guasco, S.; Rontani, J.-F. Enhanced biotic degradation of terrestrial POM in an estuarine salinity gradient: Interactive effects of organic matter pools and changes of bacterial communities. Aquat. Microb. Ecol. 2019, 83, 147–159. [Google Scholar] [CrossRef]
  107. Zimov, S.; Davydov, S.; Zimova, G.; Davydova, A.; Schuur, E.; Dutta, K.; Chapin, F., III. Permafrost carbon: Stock and decomposability of a globally significant carbon pool. Geophys. Res. Lett. 2006, 33. [Google Scholar] [CrossRef] [Green Version]
  108. Lalande, C.; Grebmeier, J.M.; Hopcroft, R.R.; Danielson, S.L. Annual cycle of export fluxes of biogenic matter near Hanna Shoal in the northeast Chukchi Sea. Deep Sea Res. II 2021, 177, 104730. [Google Scholar] [CrossRef]
  109. Lalande, C.; Nöthig, E.-M.; Fortier, L. Algal export in the Arctic Ocean in times of global warming. Geophys. Res. Lett. 2019, 46, 5959–5967. [Google Scholar] [CrossRef] [Green Version]
  110. Tremblay, C.; Runge, J.A.; Legendre, L. Grazing and sedimentation of ice algae during and immediately after a bloom at the ice-water interface. Mar. Ecol. Prog. Ser. 1989, 56, 291–300. [Google Scholar] [CrossRef]
  111. Koch, C.W.; Cooper, L.W.; Lalande, C.; Brown, T.A.; Frey, K.E.; Grebmeier, J.M. Seasonal and latitudinal variations in sea ice algae deposition in the Northern Bering and Chukchi Seas determined by algal biomarkers. PLoS ONE 2020, 15, e0231178. [Google Scholar] [CrossRef] [PubMed]
  112. Kitamura, M.; Amakasu, K.; Kikuchi, T.; Nishino, S. Seasonal dynamics of zooplankton in the southern Chukchi Sea revealed from acoustic backscattering strength. Cont. Shelf Res. 2017, 133, 47–58. [Google Scholar] [CrossRef]
  113. Grebmeier, J.M.; McRoy, C.P.; Feder, H.M. Pelagic-benthic coupling on the shelf of the northern Bering and Chukchi Seas. I. Food supply source and benthic biomass. Mar. Ecol. Prog. Ser. 1988, 48, 57–67. [Google Scholar] [CrossRef]
Figure 1. Map of the station investigated in the Beaufort Sea and Baffin Bay. The pie charts show the percentage of residual parent compounds (palmitoleic acid) degraded by the 10S-DOX. In red, the trans/cis vaccenic acid ratio. Qik stands for Qikiqtarjuaq. (*) abiotic oxidationproducts.
Figure 1. Map of the station investigated in the Beaufort Sea and Baffin Bay. The pie charts show the percentage of residual parent compounds (palmitoleic acid) degraded by the 10S-DOX. In red, the trans/cis vaccenic acid ratio. Qik stands for Qikiqtarjuaq. (*) abiotic oxidationproducts.
Microorganisms 09 02626 g001
Figure 2. MRM chromatograms (m/z 390 → 245) of DMDS derivatives of vaccenic acid in superficial bottom sediment (0–1 cm) collected at St. 428. (*) asymmetric carbon atoms.
Figure 2. MRM chromatograms (m/z 390 → 245) of DMDS derivatives of vaccenic acid in superficial bottom sediment (0–1 cm) collected at St. 428. (*) asymmetric carbon atoms.
Microorganisms 09 02626 g002
Figure 3. Partial ion chromatograms (at m/z 199.1518, 329.1968, 213.1675, and 343.2125) showing the presence of biotic and abiotic palmitoleic oxidation product trimethylsilyl derivatives (including the 10S-DOX degradation product, 10S-hydroxyhexadec-8(trans)-enoic acid) in superficial bottom sediment (0–1 cm) collected at Qikiqtarjuaq.
Figure 3. Partial ion chromatograms (at m/z 199.1518, 329.1968, 213.1675, and 343.2125) showing the presence of biotic and abiotic palmitoleic oxidation product trimethylsilyl derivatives (including the 10S-DOX degradation product, 10S-hydroxyhexadec-8(trans)-enoic acid) in superficial bottom sediment (0–1 cm) collected at Qikiqtarjuaq.
Microorganisms 09 02626 g003
Figure 4. Conceptual scheme summarizing bacterial stress and its consequences on sympagic algae export in the Beaufort Sea and northern and western Baffin Bay during the sea ice melting stages: brine drainage, snowmelt, and open water.
Figure 4. Conceptual scheme summarizing bacterial stress and its consequences on sympagic algae export in the Beaufort Sea and northern and western Baffin Bay during the sea ice melting stages: brine drainage, snowmelt, and open water.
Microorganisms 09 02626 g004
Table 1. Percentage of 10S-DOX degradation of palmitoleic acid and trans/cis ratio of vaccenic acid observed in sediment samples collected in the Canadian Arctic during the ArcticNet, Malina, and GreenEdge expeditions.
Table 1. Percentage of 10S-DOX degradation of palmitoleic acid and trans/cis ratio of vaccenic acid observed in sediment samples collected in the Canadian Arctic during the ArcticNet, Malina, and GreenEdge expeditions.
Beaufort Sea
Mean ± SE
(Range)
Baffin Bay
Mean ± SE
(Range)
Overall
Mean ± SE
(Range)
Trans/cis ratio (g:g)0.20 ± 0.03 a
(0.46–0.07)
0.06 ± 0.02 b
(0.23–0.01)
0.14 ± 0.02 c
(0.46–0.01)
10S-DOX (%) d14.34 ± 1.83
(29.00–2.20)
13.56 ± 2.91
(29.70–0)
14.01 ± 1.61
(29.70–0.00)
a n = 17. b n = 13. c n = 30. d Relative to the residual palmitoleic acid and its abiotic degradation products.
Table 2. Stanol/stenol ratio of sitosterol and brassicasterol in sediment samples collected in the Canadian Arctic.
Table 2. Stanol/stenol ratio of sitosterol and brassicasterol in sediment samples collected in the Canadian Arctic.
Sitosterol
Mean ± SE
(Range)
Brassicasterol
Mean ± SE
(Range)
Stanol/stenol ratio (%)52.8 ± 5.9 a
(84.6–14.3)
18.2 ± 1.9 a
(35.8–5.5)
a n = 17.
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Share and Cite

MDPI and ACS Style

Amiraux, R.; Patricia, B.; Christopher, B.; Jean-François, R. Use of Stress Signals of Their Attached Bacteria to Monitor Sympagic Algae Preservation in Canadian Arctic Sediments. Microorganisms 2021, 9, 2626. https://doi.org/10.3390/microorganisms9122626

AMA Style

Amiraux R, Patricia B, Christopher B, Jean-François R. Use of Stress Signals of Their Attached Bacteria to Monitor Sympagic Algae Preservation in Canadian Arctic Sediments. Microorganisms. 2021; 9(12):2626. https://doi.org/10.3390/microorganisms9122626

Chicago/Turabian Style

Amiraux, Rémi, Bonin Patricia, Burot Christopher, and Rontani Jean-François. 2021. "Use of Stress Signals of Their Attached Bacteria to Monitor Sympagic Algae Preservation in Canadian Arctic Sediments" Microorganisms 9, no. 12: 2626. https://doi.org/10.3390/microorganisms9122626

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop