Research Article |
Corresponding author: Annalisa Franzo ( afranzo@ogs.trieste.it ) Academic editor: Antonella Lugliè
© 2019 Annalisa Franzo, Mauro Celussi, Matteo Bazzaro, Federica Relitti, Paola Del Negro.
This is an open access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Citation:
Franzo A, Celussi M, Bazzaro M, Relitti F, Del Negro P (2019) Microbial processing of sedimentary organic matter at a shallow LTER site in the northern Adriatic Sea: an 8-year case study. In: Mazzocchi MG, Capotondi L, Freppaz M, Lugliè A, Campanaro A (Eds) Italian Long-Term Ecological Research for understanding ecosystem diversity and functioning. Case studies from aquatic, terrestrial and transitional domains. Nature Conservation 34: 397-415. https://doi.org/10.3897/natureconservation.34.30099
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Benthic prokaryotes are the key-players in C-cycling at the sediment-seawater interface, one of the largest biologically active interfaces on Earth. Here, microbial-mediated processes, such as the degradation of organic matter and the incorporation of mobilized C into microbial biomass, depend on several factors such as environmental temperature and substrate availability, especially in shallow sediments at mid-high latitudes where seasonal fluctuations of these variables occur. In the present study, four degradative activities (β-glucosidase, lipase, chitinase and aminopeptidase), Heterotrophic C Production (HCP), Total Organic C (TOC), Total Nitrogen (TN) and Biopolymeric C (BPC) were investigated seasonally from April 2010 to April 2018 in the surface sediments of a shallow Long-Term Ecological Research (LTER) station of the northern Adriatic Sea. Significant temperature-dependences were described by Arrhenius-type equations for HCP and each of the degradative activities tested with the exception of aminopeptidase. The relatively low apparent Activation Energies suggested that these microbial-mediated processes were enhanced by the availability of palatable substrates over the study period. Nevertheless, a clear and tight dependence from such substrates was detected only for aminopeptidase, the most pronounced degradative activity observed. TN was identified by the stepwise multiple regression analysis as the environmental variable that mainly drove this exoenzymatic activity. Enhanced aminopeptidase rates mirrored peaks of TN that seemed, in turn, linked to the seasonal proliferation of benthic microalgae. By supplying prokaryotes with promptly available substrates, these autotrophs, represented mainly by diatoms, seemed to play an important role in the C-cycling regulation at the studied LTER station.
Benthic prokaryotes, exoenzymatic activities, Heterotrophic C Production, temperature, Total Nitrogen, Long-Term Ecological Research, LTER
Collectively termed prokaryotes, bacteria and archaea play a pivotal role in C-cycling and geochemical processes as the main elements responsible for the degradation of organic matter and the incorporation of mobilized C into microbial biomass. In the marine environment, the majority of organic matter is, in fact, in a polymerized form that cannot be assimilated directly by the prokaryotic cells since only small molecules (<600 Da), such as aminoacids and monosaccharides, can pass through the membrane due to the activity of permeases. In order to make the organic matter available, prokaryotes induce the production of non-cytoplasmatic enzymes that hydrolyze polymers and oligomers into assimilable monomers (
Although both exoenzymatic activities and organic matter uptake (Heterotrophic C Production – HCP) are known for being influenced by several environmental variables (e.g. temperature, pH, salinity, availability of substrates, etc.), it is difficult to discriminate between the influence exerted by each of them and to evaluate any synergistic or antagonistic effect. Among the several variables that may influence microbial dynamics, the role of temperature and substrate availability aroused the interest of scientists for years (
To date, the majority of investigations pertaining to this issue have been carried out on bacterioplankton while organic matter processing in the sediments remained almost neglected, notwithstanding some exceptions in freshwater (
In the present study, the rates of HCP and of four benthic exoenzymatic activities (β-glucosidase, lipase, chitinase and leucine aminopeptidase) were measured over a time span of eight years (2010–2018) in order to untangle whether the bottom temperature and organic matter amount and composition acted as forcing factors on microbial metabolism and to what extent. The study was carried out at the sediment-water interface of the shallow coastal station C1 (northern Adriatic Sea), which is part of the Long Term Ecological Research-LTER network. The investigation of the same station over time allowed us to discard any attribution of any observed metabolic variation to environmental variables different from temperature and organic matter, as variations of the bathymetry and of the sediment grain size.
The Gulf of Trieste is the northernmost part of the Adriatic Sea with a surface area of about 600 km2 (
The study was carried out at the station LTER-C1, located ca. 200 m offshore (45°42'03"N, 13°42'36"E) at a depth of around 18 m, nearby the outer border of the Marine Protected Area (MPA) of Miramare (Figure
From April 2010 to April 2018, sampling campaigns were performed every 3–4 months. During each sampling, the bottom sea temperature was measured using a Seabird 19 PlusSeacat probe. The bottom water was sampled by means of a 5-L Niskin bottle. Three virtually undisturbed sediment cores were taken by a KC Haps bottom corer (KC-Denmark, Silkeborg, Denmark) using polycarbonate sample tubes (13.3 cm I.D. resulting in a sampling surface of 127 cm2). The sediments were collected within an experimental area of max 40 m2. Once in the laboratory, the cores were partially extruded and the oxic sediment layer (0–1 cm ca) of each core was collected, homogenised and subsampled for all the analyses.
For TOC and TN analyses, sediment was freeze-dried, grounded in a ceramic mortar and then sieved on a 250 µm iron steel sieve (Endecotts LTD, UK). Triplicate subsamples of about 8–12 mg were weighed on a microultrabalance with an accuracy of 0.1 µg, directly into silver and tin capsules for TOC and TN, respectively. Before TOC determination, subsamples were treated directly into capsules with increasing concentrations of HCl (0.1 N and 1 N) to remove the carbonate fraction (
For BPC analyses, subsamples of homogenised sediment were freeze-dried and processed in triplicates for the determination of carbohydrates, lipids and proteins. Colloidal and EDTA extractable carbohydrates (CHO-H2O and CHO-EDTA, respectively) were analyzed following the method described by
Heterotrophic C Production (HCP) rates were carried out following the method of 3H-leucine uptake for sediment samples (
Extracellular enzymatic activities were assayed using fluorogenic substrate analogues (
The Arrhenius-type relationship (linearity of a natural logarithm vs inverse absolute temperature) between temperature and microbial activities was tested assuming that chemical kinetics controls the observed rates. According to the Arrhenius law, the temperature sensitivity of each exoenzymatic activity and of HCP is defined by:
Microbial Activity = A · e-Ea/R*T
where A is the theoretical microbial activity in the absence of the Ea; Ea is the Activation Energy, i.e. the energy barrier to be surpassed in order for the reaction to take place (in J mol-1); R is the universal gas constant (8.314 J mol-1 K-1); T is the temperature in Kelvin (K). The factor e-Ea/R · T is proportional to the fraction of substrate molecules with kinetic energies in excess of Ea (
Linear regression analyses were used for the Arrhenius plots. Prior to regressions, normality was checked and the confidence level was set at 95% using STATISTICA7.
A stepwise multiple regression analysis was performed in order to establish the relationship between microbial activities (HCP, β-glucosidase, lipase, chitinase and leucine-aminopeptidase) and environmental variables (temperature, TOC, TN, CHO-H2O, CHO-EDTA, PRT and LIP). All non-normally distributed data series were log(10)-transformed before running the analysis.
In order to highlight any overall temporal pattern of microbial activities at the station LTER-C1, a cluster analysis was performed on HCP, β-glucosidase, lipase, chitinase and leucine aminopeptidase rates. The Euclidean distance and the complete linkage were applied and data were log10(x+1) transformed and normalized prior to analysis. Afterwards, the Mann-Whitney test was applied in order to test for significant differences of all microbial and environmental variables among the cluster groups. Only statistically significant results are presented.
The Spearman-Rank correlation analysis was performed to test the linear relationship between TOC and TN. Correlation coefficients (r) were considered significant at p-values less than 0.05.
All statistical analyses were performed using STATISTICA7 with the exception of the cluster analysis that was conducted with PRIMER software v5 (PRIMER-E Ldt, Plymouth, UK).
Ranging between 7.5 °C in Mar12 and 22 °C in Jul16 (Table
Environmental variables measured at the sea bottom (Temp = temperature) or in sediment surface layer. CHO-H2O =colloidal carbohydrates; CHO-EDTA = Carbohydrates extracted in EDTA; PRT = proteins; LIP = lipids; n.a. = not available. With the exception of Temp, values are averages of 3 replicates.
Temp | CHO-H2O | CHO-EDTA | PRT | LIP | |||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|
°C | µg C g-1 | µg C g-1 | µg C g-1 | µg C g-1 | |||||||||
Apr10 | 11.18 | 70.10 | ± | 1.56 | 149.92 | ± | 6.93 | 557.49 | ± | 29.55 | 626.36 | ± | 30.02 |
Jul10 | 16.53 | 27.48 | ± | 1.10 | 170.18 | ± | 2.77 | 627.84 | ± | 26.79 | 1069.42 | ± | 43.39 |
Nov10 | 15.50 | 71.27 | ± | 2.19 | 141.35 | ± | 4.26 | 590.21 | ± | 24.23 | 937.49 | ± | 51.83 |
Feb11 | 8.71 | 43.04 | ± | 0.13 | 184.81 | ± | 5.85 | 426.90 | ± | 15.75 | 859.93 | ± | 33.14 |
Jun11 | 15.12 | 95.04 | ± | 3.52 | 285.17 | ± | 17.05 | 957.12 | ± | 13.33 | 1192.15 | ± | 8.77 |
Sep11 | 19.42 | 85.24 | ± | 3.67 | 219.45 | ± | 5.95 | 888.92 | ± | 38.09 | 1328.65 | ± | 2.08 |
Dec11 | 12.72 | 60.08 | ± | 1.49 | 206.73 | ± | 6.51 | 881.94 | ± | 11.34 | 976.34 | ± | 23.38 |
Mar12 | 7.47 | 85.14 | ± | 5.31 | 97.01 | ± | 5.07 | 1109.63 | ± | 26.85 | 835.08 | ± | 6.09 |
Jul12 | 19.13 | 85.45 | ± | 5.23 | 347.14 | ± | 3.90 | 1123.10 | ± | 27.13 | 1134.46 | ± | 54.83 |
Nov12 | 15.00 | n.a. | n.a. | n.a. | n.a. | ||||||||
Feb13 | 9.00 | 108.25 | ± | 4.67 | 140.14 | ± | 1.96 | 512.84 | ± | 20.86 | 769.26 | ± | 31.29 |
Apr13 | 9.50 | 164.02 | ± | 2.36 | 267.04 | ± | 16.11 | 639.92 | ± | 29.61 | 959.88 | ± | 44.41 |
Nov13 | 16.60 | 110.82 | ± | 4.75 | 312.71 | ± | 15.07 | 637.75 | ± | 17.55 | 956.62 | ± | 26.33 |
Apr14 | 13.50 | 112.60 | ± | 8.82 | 177.39 | ± | 8.13 | 574.66 | ± | 13.30 | 861.99 | ± | 19.96 |
Jul14 | 18.20 | 115.73 | ± | 3.12 | 93.83 | ± | 4.45 | 573.84 | ± | 28.98 | 860.75 | ± | 43.47 |
Mar15 | 10.00 | 87.49 | ± | 2.19 | 225.99 | ± | 12.70 | 691.42 | ± | 13.71 | 823.81 | ± | 50.11 |
Jun15 | 19.50 | 144.25 | ± | 0.35 | 274.63 | ± | 10.11 | 444.93 | ± | 19.48 | 954.55 | ± | 55.66 |
Oct15 | 17.40 | 76.13 | ± | 2.14 | 253.43 | ± | 1.35 | 613.61 | ± | 10.57 | 748.53 | ± | 26.94 |
Jan16 | 9.45 | 93.06 | ± | 3.36 | 267.29 | ± | 6.12 | 322.10 | ± | 18.81 | 1067.77 | ± | 30.71 |
Apr16 | 13.10 | 102.60 | ± | 1.16 | 308.67 | ± | 19.61 | 316.30 | ± | 14.38 | 662.53 | ± | 30.14 |
Jul16 | 22.00 | 129.87 | ± | 2.10 | 325.18 | ± | 8.49 | 462.49 | ± | 30.21 | 921.30 | ± | 34.09 |
Oct16 | 18.70 | 119.41 | ± | 6.30 | 94.38 | ± | 2.53 | 419.14 | ± | 23.58 | 705.92 | ± | 37.81 |
Dec16 | 13.00 | 47.67 | ± | 2.08 | 274.07 | ± | 4.33 | 231.85 | ± | 7.90 | 447.87 | ± | 78.07 |
Apr17 | 11.40 | 139.45 | ± | 4.51 | 437.44 | ± | 21.64 | 321.30 | ± | 16.38 | 686.25 | ± | 39.41 |
Jul17 | 17.70 | 147.92 | ± | 1.59 | 420.28 | ± | 1.10 | 470.87 | ± | 24.20 | 479.54 | ± | 30.24 |
Oct17 | 19.20 | 96.40 | ± | 2.49 | 411.50 | ± | 6.10 | 385.77 | ± | 0.90 | 581.62 | ± | 22.67 |
Jan18 | 10.90 | 80.76 | ± | 0.59 | 386.35 | ± | 11.10 | 295.40 | ± | 10.21 | 759.16 | ± | 55.64 |
Apr18 | 10.20 | 133.16 | ± | 2.41 | 482.11 | ± | 20.69 | 511.04 | ± | 40.92 | 822.06 | ± | 22.47 |
Minima of HCP rates characterized winter samplings (Nov12 and Dec16) while maxima were measured in spring and early-summer (Apr16 and June15) (Figure
Significant temperature-dependences were described by Arrhenius-type equations for HCP and all the degradative activities tested with the exception of leucine-aminopeptidase (Figure
Arrhenius plots of the natural logarithm of each microbial activity against the inverse absolute temperature (1/T). HCP = Heterotrophic C Production (a); β-glu = β-glucosidase (b); ole = lipase (c); chit = chitinase (d); AMA = leucine aminopeptidase (e); n.s.= not significant.
The stepwise multiple regression analysis confirmed the influence of the bottom temperature on both the microbial C uptake and the majority of the tested exoenzymatic activities. The only exception was represented by the aminopeptidase since it was explained for 50% by N-containing material, expressed in terms of TN, and, to a lesser extent, by colloidal carbohydrates and bottom temperature (Table
Stepwise multiple regression analysis between microbial activities and environmental variables (*p<0.05; **p<0.01; ***p<0.001). HCP = Heterotrophic C Production; AMA = Leucine aminopeptidase activity; Temp = bottom temperature; TOC = Total Organic C; TN = Total Nitrogen; CHO-H2O =colloidal carbohydrates; CHO-EDTA = carbohydrates extracted in EDTA; LIP = Lipids; PRT = proteins.
F | Adj r2 | n | Variables | |
---|---|---|---|---|
HCP | 3.410* | 0.30 | 23 | Temp* |
CHO-H2O | ||||
TOC | ||||
LIP | ||||
β-glucosidase | 6.115** | 0.54 | 23 | Temp** |
PRT | ||||
CHO-H2O | ||||
LIP | ||||
CHO-EDTA | ||||
Lipase | 5.584** | 0.38 | 23 | Temp** |
PRT* | ||||
CHO-EDTA | ||||
Chitinase | 3.275* | 0.24 | 23 | Temp* |
PRT | ||||
CHO-EDTA | ||||
AMA | 8.359*** | 0.50 | 23 | TN*** |
CHO-H2O* | ||||
Temp* |
The cluster analysis performed on the tested microbial activities clearly separated the majority of summer and early-autumn samplings (Group A) from the remaining observations (Group B; Figure
Over a time span of eight years (2010–2018), five benthic microbial processes - i.e. HCP, β-glucosidase, lipase, chitinase and aminopeptidase - were related to the temporal fluctuations of the bottom temperature and to the variable amount and composition of sedimentary organic matter. Overall, the fastest rates of both organic matter degradation and microbial growth were observed in warmer conditions while a limited C reworking was detected at lower temperatures. This is a general pattern already observed in the water column (
The Arrhenius plots describe a single microbial-mediated reaction that is performed on a homogeneous substrate in terms of composition and bioavailability. Undoubtedly this is an ideal situation that does not occur in natural environments since the bulk of organic material is composed by a wide plethora of molecules, each characterized by a dissimilar composition and, therefore, by a different degree of complexity (
In the present study, the degradation of proteins was the only exoenzymatic activity that resulted weakly temperature-dependent, as indicated by the lack of significance in the corresponding Arrhenius plot. On the other hand, this hydrolytic activity resulted mainly related to the substrate availability, expressed in terms of TN. In coastal sediments, this pool comprises a wide spectrum of inorganic and organic compounds, with the former fraction mainly represented by fixed ammonium ions entrapped in illite crystal structure (
In the Gulf of Trieste, a preferential decomposition of organic nitrogen and total phosphorous with respect to organic carbon was suggested by
Over a time span relatively long for data of microbial-mediated processes, this study allowed us to understand how two environmental factors – i.e. temperature and substrate availability – determine the microbial C-cycling in temperate shallow marine sediments. Similar to the soils and the water column, a clear dependence of prokaryotic activities from temperature was confirmed at the sediment-water interface, a biologically active interface largely neglected despite its ecological importance.
Overall, relatively low Ea values were measured, suggesting that the availability of microbial-accessible substrates to prokaryotes was not negligible throughout the study period. In particular, the presence of palatable substrates likely lowered the Ea required for HCP, resulting, in fact, in a value clearly lower than that theoretically required if the temperature were the only factor involved.
Nevertheless, a clear and tight dependence from the substrate availability was detected only for aminopeptidase, the most pronounced degradative activity observed. Identified as the substrate that mainly drove the degradation of polypeptides, TN varied temporally, posing therefore the question on what caused such fluctuations. Known for increasing TN concentration and bioavailability, benthic microalgae are suggested here as the best candidates. Future implementations with detailed macromolecular fingerprinting of sedimentary organic matter would allow the identification of the substrates preferentially used by benthic prokaryotes and to link them definitely to their probable microalgal origin.
Our 8-year dataset demonstrated to be sufficiently robust to obtain a glimpse about the effects of temperature and substrates on shallow microbial metabolism. According to the LTER philosophy, its continuation over the years deserves to be promoted because only in a long-term time span the functional-microbial perspective would contribute in detecting possible biogeochemical deviations, especially in consideration of current global challenges as Climate Change-related events. The membership of St. C1 to LTER-Italy represents an added value for our current and future results because the network will magnify their sharing and dissemination, in accordance with the perspective of Open Science.
Being St. C1 part of the LTER national and international networks (LTER-Italy, LTER-Europe, ILTER), this study has been carried out in the context of LTER initiatives. The authors would like to thank C. Comici, C. De Vittor and M. Kralj for analytical support and the three reviewers for their constructive comments.