| Literature DB >> 26677860 |
D Figueroa1,2, O F Rowe1,3, J Paczkowska1, C Legrand4, A Andersson5,6.
Abstract
Heterotrophic bacteria are, in many aquatic systems, reliant on autochthonous organic carbon as their energy source. One exception is low-productive humic lakes, where allochthonous dissolved organic matter (ADOM) is the major driver. We hypothesized that bacterial production (BP) is similarly regulated in subarctic estuaries that receive large amounts of riverine material. BP and potential explanatory factors were measured during May-August 2011 in the subarctic Råne Estuary, northern Sweden. The highest BP was observed in spring, concomitant with the spring river-flush and the lowest rates occurred during summer when primary production (PP) peaked. PLS correlations showed that ∼60% of the BP variation was explained by different ADOM components, measured as humic substances, dissolved organic carbon (DOC) and coloured dissolved organic matter (CDOM). On average, BP was threefold higher than PP. The bioavailability of allochthonous dissolved organic carbon (ADOC) exhibited large spatial and temporal variation; however, the average value was low, ∼2%. Bioassay analysis showed that BP in the near-shore area was potentially carbon limited early in the season, while BP at seaward stations was more commonly limited by nitrogen-phosphorus. Nevertheless, the bioassay indicated that ADOC could contribute significantly to the in situ BP, ∼60%. We conclude that ADOM is a regulator of BP in the studied estuary. Thus, projected climate-induced increases in river discharge suggest that BP will increase in subarctic coastal areas during the coming century.Entities:
Keywords: Allochthonous organic matter; Bacterioplankton production; Baltic Sea; Carbon utilization; Sub-arctic estuary
Mesh:
Substances:
Year: 2015 PMID: 26677860 PMCID: PMC4823372 DOI: 10.1007/s00248-015-0714-4
Source DB: PubMed Journal: Microb Ecol ISSN: 0095-3628 Impact factor: 4.552
Fig. 1Position of sampling stations in the Råne River and Estuary, Bothnian Bay (northern Baltic Sea)
Average values (and range) of physicochemical variables at 19 stations in the Råne River and Estuary during the 2011 productive season
| May | June | July | August | |
|---|---|---|---|---|
| Date | 10–12 | 20–22 | 11–13 | 9–11 |
| DOC (mg l−1) | 7.6 (5.0–12.8) | 5.6 (4.4–6.9) | 6.3 (5.2–7.3) | 5.9 (4.7–7.3) |
| Humic substances (μg l−1) | 61.5 (39.9–67.6) | 43.8 (25.9–68) | 53.6 (32.7–71.4) | 41.9 (23.1–63.1) |
| SPM organic (g m−3) | 1.5 (0.4–2.5) | 1.4 (0.8–2.4) | 1.5 (1,0–2.4) | 1.4 (0.8–2.5) |
| CDOM (m−1) | 3 (1.5–4.2) | 2.8 (1.8–5.5) | 2.9 (1.8–4.2) | 2.1 (1.1–3.7) |
| TotP (mg l−1) | 0.009 (0.008–0.01) | 0.01 (0.006–0.016) | 0.01 (0.008–0.014) | 0.01 (0.008–0.016) |
| TotN (mg l−1) | 0.38 (0.29–0.46) | 0.28 (0.23–0.37) | 0.29 (0.23–0.41) | 0.29 (0.24–0.36) |
| Temperature (°C) | 6.7 (5.8–8) | 15.7 (14.1–16.6) | 21.4 (19.8–23.0) | 16.5 (15.7–17.4) |
| pH | 6.9 (6.6–7.1) | 7.2 (6.6–7.6) | 7.2(6.8–7.4) | 7.4 (7.0–7.6) |
| Salinity units | 0.3 (0–1.1) | 0.6 (0–1.7) | 0.5 (0–1.1) | 1.0 (0–1.9) |
| River discharge (m3 s−1) | 99.3 (96–103) | 33.4 (32.1–35.1) | 33.1 (31.8–34.5) | 24.6 (23.8–26.0) |
Mean and range are for a single given sampling month, encompassing all 19 sampled stations (n = 19)
Fig. 4Concentrations of DOC (a), TotN (b), TotP (c) and the BP/PP ratio (d) along a river-sea gradient during different months (May–August). Solid lines show significant upwards or downwards trends along the transect (p < 0.05) and dashed lines indicate non-significant trends
Fig. 2Partial least square regression (PLS) model: (a) PLS biplot projection on the influence of humic substances, dissolved organic carbon (DOC), suspended particulate organic matter (SPM org), total phosphorous concentration (TotP), temperature (temp), chromophoric dissolved organic matter (CDOM), pH and primary production (PP) on the bacterial production (BP) in the Råne estuary. R 2 X is the cumulative information contained on each axis. b Regression coefficients plot showing the degree of influence of the environmental variables during the season on BP in the PLS model. The analysis was based on sampling at 19 stations, four times during the period May–August 2011
Influence of environmental variables (physicochemical and biological) on bacterial production in the Råne Estuary
| Variables | PLS correlation coefficient ( | Spearman’ s correlation coefficient ( |
|---|---|---|
| Humic substances | 0.67 | 0.70*** |
| Chromophoric dissolved organic carbon (CDOM) | 0.55 | 0.63*** |
| Total nitrogen concentration (TotN) | – – | 0.65*** |
| Dissolved organic carbon (DOC) | 0.58 | 0.64*** |
| Organic suspended particular material (SPM organic) | 0.28 | 0.36** |
| Total phosphorous concentration (TotP) | −0.18 | 0.09 |
| Temperature | −0.57 | −0.43*** |
| Primary production (PP) | −0.44 | −0.52*** |
| Salinity | – – | −0.62*** |
| pH | −0.78 | −0.80*** |
Correlation coefficients of the combined effects on bacterial production, calculated using a PLS correlation model (ρ combined) and the individual environmental factor effect on bacterial production, calculated using Spearman’s correlations (ρ)
The p values for the Spearman’s correlation were obtained using a two-tailed t test, with level of significance indicated by *p < 0.05, **p < 0.01, ***p < 0.001. Environmental variables excluded from the PLS model are marked with “– –” in the table
Fig. 3Average BP and PP (a), humic substances and DOC concentrations (b) in surface waters in the Råne Estuary during the period May–August 2011. Error bars denote ±1 standard deviation
Fig. 5Fraction of bioavailable DOC (a), bacterial growth efficiency (b) and proportion of DOC fuelling bacterial production in situ (c) measured at stations along a transect from the river to 10 km offshore in the Råne Estuary during the period May–August 2011. Error bars are ±standard deviation
Nitrogen/phosphorous (NP) limitation of bacterial growth, analysed by the bioassay
| Distance (km) | Station | Limiting ADOC bacterial consumption | |||
|---|---|---|---|---|---|
| May | June | July | August | ||
| 0 | 1 | Cdecrease | Cdecrease | Cdecrease | NPlimited* |
| 3.6 | 2 | Cdecrease | Cdecrease | Cdecrease | Cdecrease |
| 5.5 | 6 | Cdecrease | Cdecrease | NPlimited* | Cdecrease |
| 6.2 | 10 | Cdecrease | NPlimited* | Cdecrease | NPlimited* |
| 8.6 | 17 | Cdecrease | NPlimited* | Cdecrease | NPlimited** |
| 10 | 19 | NPlimited* | NPlimited* | NPlimited | NPlimited** |
The NP limitation of DOC bacterial consumption was determined by comparing BP using linear mixed model comparison between cultures with and without nutrient addition. The data were examined using ANOVA, with levels of significance indicated by: *p < 0.05, **p < 0.01, ***p < 0.001