Short-term changes in microbial communities in the water column around the fish farm in the Bay of Piran Kratkotrajne spremembe mikrobne združbe v vodnem stolpcu okoli ribogojnice v Piranskem zalivu Valentina Turk*, Tinkara Tinta Marine Biology Station, National Institute of biology, Fornače 41, 6330 Piran, Slovenia *Correspondence: valentina.turk@nib.si Abstract: A multidisciplinary approach was used to study the impact of fish far- ming on coastal bacterial communities in the inner part of the Bay of Piran (northern Adriatic). Differences in bacterial abundance, production and the occurrence of selected bacterial groups were studied in the water column around the cage and at different distances from the centre of the fish cage towards the open water, i.e., reference ma- rine station. We also examined the effect of fish feeding on the surrounding system in a short-term in situ experiment based on the simultaneous collection of seawater samples from different locations around the fish cage before and after feeding of fish. Our study suggests that fish feeding has a moderate short-term effect on water column parameters, including bacterial abundance and production, only at a limited distance from the fish cages. The nitrifying, ammonia-oxidizing bacterial groups, as determined by the fluorescent in situ hybridization method, were represented at a higher percentage in the seawater samples in the middle and around the fish cages. β- Proteobacteria, γ-Proteobacteria and the Cytophaga-Flavobacterium group were represented to a higher percentage at sampling sites in the middle of the Bay of Piran and at the reference marine station. The Vibrio group was detected at all sampling sites. The accumulation of organically enriched fish food and waste products released into the seawater during the short-term experiment resulted in a significant increase in particulate matter, orthophosphate and ammonium. In response to the increase in inorganic nutrients, we observed a significant increase in bacterial production, while no significant differences were observed in bacterial abundance in such short time. Keywords: aquaculture, bacterial abundance, bacterial community composition, bacterial production, fluorescent in situ hybridisation, pollution Izvleček: Vpliv ribogojstva na bakterijske združbe smo proučevali z multidisci- plinarnim pristopom v notranjem delu Piranskega zaliva (severni Jadran). Razlike v številčnosti bakterij, bakterijski produkciji in pojavljanju izbranih bakterijskih skupin smo preučevali v vodnem stolpcu okoli ribje kletke in na izbranih lokacijah od središča ribje kletke do odprtih vod. Spremembe pred in po hranjenju rib smo preučili tudi v kratkoročnem poskusu in situ, ki je temeljil na istočasnem vzorčenju morske vode na različnih lokacijah okoli ribje kletke. Naša študija kaže, da hranjenje rib kratkoročno zmerno vpliva na parametre vodnega stolpca, vključno s številčnostjo bakterij in pro- ACTA BIOLOGICA SLOVENICA LJUBLJANA 2021 Vol. 64, Št. 2: 9–23 10Acta Biologica Slovenica, 2021, 64 (2), 9–23 dukcijo, in le na omejeni razdalji od ribjih kletk. Nitrifikacijske bakterije, ki oksidirajo amonij, določene s fluorescentno in situ hibridizacijsko metodo, so bile zastopane v višjem deležu v vzorcih morske vode v sredini in neposredni okolici ribje kletke. β-Proteobakterije, γ-Proteobakterije in skupina Cytophaga-Flavobacterium so bile zastopane v višjem odstotku na bolj oddaljenih vzorčnih mestih. Potencialno patogena vrsta Vibrio je bila prisotna na vseh mestih vzorčenja. Kopičenje organsko obogatene ribje hrane in odpadnih produktov, ki se sproščajo v morsko vodo v kratkem času po hranjenju, je povzročilo znatno povečanje koncentracij partikulatne organske snovi, ortofosfata in amonija. Kot odgovor na povečanje anorganskih hranil smo izmerili bakterijsko aktivnost, medtem ko razlik v biomasi v vodnem stolpcu ni bilo opaziti. Ključne besede: akvakultura, bakterijska abundance, bakterijska produkcija, bakterijska vrstna sestava, fluorescentna in situ hibridizacija, onesnaženje Introduction In the last 20 years, aquaculture has expanded rapidly both globally and in the Mediterranean, with a focus on the production of sea bass Di- centrachus labrax and sea bream Sparus aurata (FAO 2018). The rapid expansion of aquaculture has raised increasing concerns about negative environmental impacts, given numerous well- documented cases (Bouwman et al. 2013). These are primarily the impacts of waste products from farming – organic matter, nutrients, chemicals and pharmaceuticals – and the transfer of genes, parasites and diseases between wild and farmed species (Hargrave et al. 1993, McGhie et al. 2000, Karakassis 2000, Kim et al. 2004, Armstrong et al. 2005, Bouwman et al. 2013, Cabello et al. 2013, Wang et al. 2020). The numerous documented negative environmental impacts of aquaculture are mainly related to the accumulation of uneaten feed and faeces in seawater and on the seabed beneath fish cages (Hargrave et al. 1997, Karakas- sis 2000, Pitta et al. 2006, Vezzulli et al. 2008, Reimers et al. 2013). Fish food consists largely of proteins and the main components of this organic enrichment affect biogeochemical processes and often lead to eutrophication, oxygen deficiency and hypoxia on the seabed (Hargrave et al. 1993, Karakassis 2000). The effects of high organic matter loading on sediment below aquaculture farms have been extensively studied, showing changes in the structure of benthic communities that affect the entire food web and lead to an overall decline in species diversity (Hargrave et al. 1997, Karakassis et al. 1998, Christensen et al. 2000, Grego et al. 2009, Mirto et al. 2012, Luna et al. 2013, Reimers et al. 2013). Marine microbes drive biogeochemical cycles in coastal areas (Kirchman 1994). They regulate carbon and energy transfer in the food web, the maintenance of water quality, and the health of marine ecosystems (Azam and Malfatti 2007). Marine microbes respond rapidly to environmental perturbations (Galand et al. 2016, Ape et al. 2019) and play an important role in the degradation and remineralization of organic matter. Several studies have shown that organic wastes from fish farms stimulate microbiological metabolism, most of which can be attributed to changes in enzymatic activity (Caruso et al. 2003, Vezzulli et al. 2004), nitrification, denitrification or sulphate reduction (McCaig et al. 1999, Christensen et al. 2000, Asami et al. 2005, Kondo et al. 2012, Dowle et al. 2015) ammonium concentrations, nitrification rates, and ammonia oxidizer most-probable-number counts were determined in samples of sediment collected from beneath a fish cage and on a transect at 20 and 40 m from the cage. The data suggest that nitrogen cycling was significantly disrupted directly beneath the fish cage, with inhibition of nitrification and denitrification. Although visual examination indi- cated some slight changes in sediment appearance at 20 m, all other measurements were similar to those obtained at 40 m, where the sediment was considered pristine. The community structures of proteobacterial β-subgroup ammonia-oxidizing bacteria at the sampling sites were compared by PCR amplification of 16S ribosomal DNA (rDNA. Increases in bacterial abundance (Mirto et al. 2000, Vezzulli et al. 2002, Bissett et al. 2007), virus-like 11Turk and Tinta: Impact of aquaculture on bacterioplankton particles (Garren et al. 2008, Luna et al. 2013), and bacterial production (Navarro et al. 2008, Garren et al. 2008), as well as changes in bacte- rial community composition (Bissett et al. 2006, Garren et al. 2008, Castine et al. 2009, Kawahara et al. 2009, Quero et al. 2015, Galand et al. 2016, Martins et al. 2018, Kolda et al. 2020) have been detected in the sediments bellow fish cages. Increased deposition of organic matter on the seabed below fish cages (Kovac et al. 2003, Lojen et al. 2005) has been confirmed for our study area and negatively affects the sediment chemical properties and the abundance and structure of meiofauna (Grego et al. 2009, 2020). The impact of aquaculture on microbes have been studied mainly in sediments, much less in the water column. In our study, we focused on the short-term effects of aquaculture activities on the bacterial community in the upper layer of the water column around the cage and at different locations from the centre of the fish cage to the open water. We mainly investigated the changes in nutrient concentrations, abundance and bacte- rial production before and after feeding the fish in a short-term in situ experiment based on the simultaneous collection of seawater samples from different sites around the fish cage. Materials and methods Study site and experimental setup The study was conducted in October 2005 in the marine fish farm in the inner part of the shallow semi – enclosed Bay of Piran (Gulf of Trieste, northern Adriatic Sea) (Fig. 1). The bay is about 7 km long and 5 km wide and is charac- terised by limited hydrodynamics. The fish farm consisted of 20 floating cages with a total area of 2019 m2, where sea bass (Dicentrarchus labrax) and gilthead sea bream (Sparus auratus) were kept. The depth below the fish cages was about 13 m. The total annual production in 2005 was 100 tonnes. The fish were fed three times a day. The daily dietary intake was 12 kg, and consisted Figure 1: Sampling sites in the middle and around the fish cage at 6 and 20 m intervals, in the inner part of the Bay of Piran, and the reference station in the Gulf of Trieste (ZBOB). Slika 1: Mesta vzorčenja morske vode v središču in okolici ribje kletke na razdalji 6 m in 20 m, v notranjem delu Piranskega zaliva, ter zunanji referenčni postaji v Tržaškem zalivu (ZBOB). 12Acta Biologica Slovenica, 2021, 64 (2), 9–23 mainly of proteins (44 %) and lipids (22 %) and a smaller proportion of oligosaccharides (16 %), fibrins (2 %), ash (8 %) and vitamins, according to manufacturer. To evaluate the impact of aquaculture on the pelagic bacterial community, two different studies were conducted. In the first study, seawater sam- ples were collected at stations along the transect located 6 m, 20 m, 1500 m, and 5400 m from the centre of the fish cage (Fig. 1), at 5 m depth with Niskin samplers. At the same time, basic physical (temperature, salinity) and chemical parameters (total particulate matter, orthophosphate, total phosphorous and nitrogen, nitrate, ammonium) were analysed to determine the level of organic pollution. For the second study, a system of anchored sampling bottles was constructed at different locations: in the centre of the cage (00CC), sampling points in a circle around the fish cage at a distance of 6 m (00N1, 0EN1, 0ES1, 00S1, 0WS1, 0WN1), and 20 m (00N2, 0EN2, 0ES2, 00S2, 0WS2, 0WN2) (Fig. 1). Each bottle (5 L) was attached to an underwater metal frame at 5 m depth. At the time of sampling, all bottles were opened simultaneously (by small boats and by divers). Seawater samples were collected at each sampling site before (bf) and 3 h after (af) fish feeding and the results for each param- eter were expressed as the ratio K= Cbf/Caf in percentage. Oceanographic parameters and nutrient analyses Basic oceanographic parameters (temperature, salinity) were measured using a CTD fine –scale probe (Microstructure Profiler MSS90, Sea & Sun Technology GmbH), and 24-hour current measurements were made (not presented in this study). Total particulate matter (TPM) was measured gravimetrically, and inorganic nutrients (nitrate, ammonium, phosphate) were measured colorimetrically (Grasshoff et al. 1983) using a UV/VIS spectrometer, Perkin Elmer, Lambda 14. Bacterial abundance and production Seawater samples for total bacterial counts were fixed with formaldehyde (2% final concen- tration) and analyzed by the method of Porter and Feig (1980). Samples were stained with the fluo- rochrome 4’,6’-diamino-2-phenylindole (DAPI, 1 µg mL-1 final concentration) and counted under an epifluorescence microscope (Olympus BX51). Bacterial carbon production (BCP) was measured by incorporation of 3H-leucine into newly synthesized proteins in bacterial cells (Simon and Azam 1989) using the centrifuga- tion protocol of Smith and Azam (1992). Ultima Gold (PerkinElmer) was added to each sample and radioactivity was measured using a liquid scintillation counter (Canberra Packard TriCarb Liquid Scintillation Analyzer, model 2500 TR). Table 1: List of oligonucleotide probes with sequence and target bacterial group. Tabela 1: Seznam oligonukleotidnih sond s sekvenco in tarčno skupino bakterij. Probe Sequence Target organisms Nso 1225 5’- CGC CAT TGT ATT ACG TGT GA – 3’ nitrifying ammonia-oxidizing bacteria NEU 5’- CCC CTC TGC TGC ACT CTA – 3’ nitrifying ammonia-oxidizing bacteria EUBI,II,III 5’- GCT GCC TCC CGT AGG AGT – 3’ all bacteria BET 42a 5’ – GCC TTC CCA CTT CGT TT – 3’ β-proteobacteria GAM 42a 5’ – GCC TTC CCA CAT CGT TT – 3’ γ-proteobacteria CF 319a 5’ – TGG TCC GTG TCT CAG TAC – 3’ Cytophaga-Flavobacterium group of CFB phylum GV 5’ – AGG CCA CAA CCT CCA AGT AG – 3’ Vibrio group 13Turk and Tinta: Impact of aquaculture on bacterioplankton Fluorescent in situ hybridization (FISH) The abundance of selected phylogenetic groups was determined by the fluorescence in situ hybridization method using Cy3-labelled oligonucleotide probes (Thermo Electron Cor- poration). The sequences and target organisms of all 16S rRNA-targeted oligonucleotide probes are listed in Tab. 1. Group specific probes were EUBI, II, III for all bacteria, BET 42a for β-Proteobacteria, GAM42 for γ-Proteobacteria, CF 319a Cytophaga-Flavo- bacterium cluster of Cytophaga-Flavobacteria- Bacteroides CFB phylum and GV for Vibrio group. The nitrifying, and ammonia-oxidizing bacteria groups were determined using the Nso 1225 probe specific for the ammonia-oxidizers and the NEU probe complementary to a signature region of most halophilic and halotolerant ammonia-oxidizers. From each sampling station, 10 ml of sample was fixed overnight with 37% formaldehyde. 5 ml subsamples were filtered onto 0.2 μm polycarbon- ate filters (47 mm, Poretics) and rinsed with 3 x PBS, 1x PBS solution, and distilled water and stored at -20 ºC. For each probe, a filter piece was placed on a glass slide covered with Parafilm and overlaid with 20 μl hybridization probe prepared by mixing 2 μl probe and 18 μl hybridization solution. The hybridization solution contained 360 μl NaCl (5 M), 40 μl Tris-HCl (1M, pH 7.2- 8), 2 μl 10% SDS, the optimal concentration of formamide, 400 μl blocking solution (Roche), and 500 μl distilled water. The filters were incu- bated in the hybridization oven at 42 ºC for 3h. After hybridization, filters were washed in wash solution (1000 μl Tris/HCl (1M), 700 μl NaCl (5 M), 500 μl EDTA, 25 μl 20% SDS and 47.8 ml distilled water) for 20 min at 48 ºC. Washed and dried filter pieces were stained with 1 μg mL-1 4’,6’- diamino-2-phenylindole (DAPI). Cells were counted by epifluorescence microscopy (Olympus BX51). The abundance of each bacterial group detected was expressed as the percentage of each group in the total bacterial count. Statistical analysis A three-way ANOVA was conducted to test the main interactive effects of bacteriological and chemical parameters (orthophosphate, total phosphate, ammonium, bacterial abundance and carbon production), feeding activity (before and after feeding), and sampling sites (distance – 0 m, 6 m, 20 m; and directions – south, north, east, west). Table 2: The results (means and standard deviations) of total particulate matter (TPM), nitrate, ammonium, orthophosphate, total phosphorus (Tot P) and nitrogen (Tot N), bacterial biomass and bacterial carbon production rate (BCP) in seawater samples from different sites as a function of distance from fish cages. Tabela 2: Rezultati (srednja vrednost in standardni odmik) celokupne partikulatne snovi (TPM), nitrata, amonija, ortofosfata, celokupnega fosforja (Tot P) in nitrogen (Tot N), bakterijske biomase in bakterijske produkcije (BCP) v vzorcih morske vode na različnih merilnih mestih glede na oddaljenost od ribiških kletk. Distance from the fish cage (m) Parameter Cage 6 20 200 1500 5400 TPM (mg L-1) 2.40 2.12 ± 0.56 2.55 ± 1.79 2.09 ± 0.35 1.67 1.04 Nitrat (μM L-1) 0.95 0.33 ± 0.07 0.34 ± 0.12 0.38 ± 0.18 0.51 0.20 Ammonium (μM L-1) 0.68 0.59 ± 0.12 0.57 ± 0.04 0.82 ± 0.28 0.76 0.52 Tot N (μM L-1) 31.13 33.80 ± 4.86 31.72 ± 3.92 42.46 ± 9.20 45.68 37.01 Orthophosphate (μM L-1) 0.12 0.10 ± 0.01 0.11 ± 0.04 0.11 ± 0.01 0.15 0.11 Tot P (μM L-1) 0.32 0.29 ± 0.02 0.30 ± 0.04 0.29 ± 0.06 0.33 0.31 Bacterial biomass (μg C L-1) 43.95 53.21 ± 12.3 44.15 ± 5.62 37.38 ± 10.3 27.28 21.37 BCP (μg C L-1day-1) 10.31 9.27 ± 2.72 10.89 ± 2.26 1.65 ± 1.08 1.34 3.9 14Acta Biologica Slovenica, 2021, 64 (2), 9–23 Results Effects of fish farm activity on nutrient and microbial variables along the pollution gradient Results of chemical and microbiological analyses of the upper layer of the seawater column did not differ significantly among sampling sites, although, higher concentrations of total particulate matter, nitrate, and bacterial carbon production were measured near the fish cage (Tab. 2). Total particulate matter values ranged from 2.12 to 2.55 mg L-1 at sites near the fish cage and were twice the values measured at the site 5400 m from the fish farm. The highest nitrate concen- tration was at the cage site and was three times lower at all other sites (Tab. 2). Concentrations of ammonium, orthophosphate, total phosphorus (Tot P), and nitrogen (Tot N) in the upper layer of the water column did not differ among stations, or concentrations were slightly higher at the station in the middle of the Bay of Piran. Bacterial carbon production differed signifi- cantly (F=7.932, p < 0.001) between sites and was on average up to 5-fold higher near the fish cage compared to values measured at the sampling site 1500 m away, and 3-fold higher compared to bacterial production measured at the reference site (Tab. 2, Fig. 2). Similar trends were observed for bacterial abundance, but the difference was not statistically significant. The average bacterial abundance in the vicinity of the fish cage (0, 6, and 20 m) ranged from 2.4 to 3.1 x 109 cells L-1 and decreased with increasing distance from the cage. Bacterial abundance was more than twice as high at the fish farm as at the sampling sites at 1500 m and 5400 m (Tab. 2, Fig. 2). Molecular analyses of targeted ribosomal RNA using the FISH method and various oligonucleotide probes revealed differences in the composition of bacterial groups in seawater along the transect (Fig. 3). Based on the literature data, we selected specific probes for the bacterial groups expected in an environment polluted by aquacultures. 0 2 4 6 8 10 12 0 20 40 60 80 0 6 20 1500 5400 Ba ct er ia l a bu nd an ce ( µg C L -1 ) Distance from the fish cage (m) Ba ct er ia l p ro du ct io n (µ g C L -1 d -1 ) Figure 2: Bacterial biomass (■) and bacterial production (●) at sampling sites at different distances from the fish cages in the Bay of Piran. Slika 2: Bakterijska biomasa (■) in bakterijska produkcija (●) na merilnih mestih različnih razdalj od ribjih kletk v Piranskem zalivu. 15Turk and Tinta: Impact of aquaculture on bacterioplankton The various groups were represented differ- ently. In the middle and immediate vicinity of the fish cage, all identified bacterial groups accounted for 30-40% of the total number of bacterial cells in the seawater samples, and the composition of the remaining portion was not determined. Within the identified groups, the nitrifying and ammonia- oxidizing bacterial groups Nso 1225 and NEU were represented with a higher percentage, 10 and 6 %, respectively. At other sampling sites, the β-Proteobacteria, γ-Proteobacteria and the Cytophaga-Flavobacterium group of the CFB strain (Cytophaga-Flavobacteria-Bacteroides) predominated (Fig. 3). At the sampling site 1500 m from the fish cage, the identified bacterial groups of all selected oligonucleotide probes accounted for 85 % of the total bacterial count. Compared to the other stations, there was a higher percentage of all bacterial groups, especially the β-Proteobacteria, and Cytophaga-Flavobacterium groups, except for the ammonia-oxidizers of the β-Proteobacteria subgroup (the Nso 1225 probe), which was repre- sented with the highest percentage at station 00CC. At the reference marine site, all bacterial groups were evenly distributed, however accounted for only 30 % of the total bacterial count and most of the community composition was unknown, possibly due to untargeted bacterial groups of the α-Proteobacteria that may predominate in coastal, more oligotrophic waters. The Vibrio group (up to 6% of the total bacteria count) was detected at all sampling sites. Effects of fish feeding on nutrient levels, bacterial abundance and production in the water column in a short period of time The results of chemical and bacteriological analyses of seawater, sampled simultaneously at all sampling sites before and 3 hours after feeding, showed changes in the concentrations of several parameters. The results of the relative difference (%) of total particulate matter, orthophosphate and ammonium concentrations after fish feeding in relation to before fish feeding at the sites around the fish cage (in the middle, 6 m and 20 m away) are shown in Fig. 4. With few exceptions, all values increased 3 hours after feeding compared with results before fish feeding. Overall, concentrations of total particulate matter, increased from 2.12 ± 0.5 Figure 3: Percentage of bacterial groups determined by the fluorescent in situ hybridization method (FISH) at sampling sites at different distances from fish cages in the Bay of Piran. Slika 3: Procent posamezne skupine bakterij določene z metodo Fluorescentne in situ hibridizacije (FISH) na merilnih mestih, ki so različno oddaljeni od ribjih kletk v Piranskem zalivu. 16Acta Biologica Slovenica, 2021, 64 (2), 9–23 mg L-1 to 5.65 ± 1.1 mg L-1. A similar trend was observed in the concentrations of orthophosphate, which doubled from 0.07 ± 0.01 μmol L-1 to 0.14 ± 0.04 μmol L-1, ammonium increased from 0.59 ± 0.1 μmol L-1 to 0.77 ± 0.1 μmol L-1, and nitrate from 0.33 ± 0.07 μmol L-1 to 0.77 ± 0.2 μmol L-1. A three-way ANOVA showed a significant increase in concentrations of orthophosphate (F=25.09, p < 0.0001), total phosphorus (F=37.08, p < 0.001), ammonium (F=8.61, p < 0.009) after the feeding. But we found no significant difference between distance and direction of sampling sites. During the experiment, bacterial carbon pro- duction increased at almost all stations around the cage at radius of 6 m and 20 m. The average rate of bacterial carbon production was significantly higher 3 hours after feeding (F=18.81, p < 0.001) within the 20 m radius and an overall increase from 9.66 ± 2.8 µg C L-1 d-1 to 14.54 ± 2.9 µg C L-1 d-1 was recorded. The highest increase was observed towards the south and southwest, up to 163% at the station 00S2 and 145% at station 0WS1 and in the middle of the cage up to 125% (at the station 00CC) (Fig. 5 A). Figure 4: Results of relative difference (%) of total particulate matter (TPM) (green), orthophosphate (blue) and ammonium (red) concentrations after fish feeding in relation to before fish feeding at the sites around the fish cage (in the middle, 6 m and 20 m away). Slika 4: Rezultati relativne razlike (%) v koncentracijah totalne partikulatne snovi (TPM), ortofosfata in amonija po hranjenju rib glede na vrednosti pred hranjenjem v okolici ribje kletke (v centru, 6 m in 20 m stran). 17Turk and Tinta: Impact of aquaculture on bacterioplankton Figure 5: Relative difference (%) in bacterial carbon production (A) and bacterial biomass (B) measured before and after fish feeding at the sites around the fish cage (in the middle, 6 m and 20 m away). The size of the circle shows the increase (red color) or decrease (grey color). Slika 5: Relativna razlika (%) v izmerjeni bakterijski produkciji ogljika (A) in bakterijski biomasi (B) pred in tri ure po hranjenju rib v okolici ribje kletke (v centru, 6 m in 20 m stran). Velikost kroga ponazarja % povečanja (rdeč krog) ali znižanja (siv krog). 18Acta Biologica Slovenica, 2021, 64 (2), 9–23 Bacterial biomass, recalculated from bacterial counts using the 19.8 fg C cell-1 conversion fac- tor (Lee and Fuhrman 1987), changed between sites, but no significant differences in concentra- tions were observed after feeding. Mean values decreased from 48.8 µg C L-1 ± 9.8 to 46.2 ± 19.7 µg C L-1, showing an increase after feeding only at some sites in the southwest direction. No changes or even a slight decrease was observed at all other sites (Fig. 5 B). The production/biomass (P/B) ratio changed from 0.20 ± 0.06 to 0.38 ± 0.2 after feeding and was on average up to 4.5 times higher near the fish cages than at other sampling sites, reflecting higher daily biomass production. Discussion Fish farming changes the load of organic and inorganic nutrients according to the increase of organic wastes (uneaten food, faeces, soluble excreta), which potentially negatively affects the marine environment, especially shallow areas, gulfs and semi-enclosed bays. Our study suggests that fish farming has moderate impact on water column parameters, including bacterial abundance and production, but only at a limited distance from fish cages (< 20 m), while at other distances no effects were detectable using our approach. Direct effects of nutrient pollution from fish farms on water quality and secondary effects on production and bacterial communities have also been reported in previous studies in the region (Turk and Malej 2003) and in other coastal areas (Price et al. 2015, Šestanović et al. 2016). In this study, we only analysed the effects on the pelagic microbial community, while the effects of increased organic matter on the benthic microbial community were not analysed in detail. Uneaten food and faeces lead to the accumulation of a large amount of organic matter on the seabed below the cages in our study area (Lojen et al. 2005) since the sedimentation rates in the vicinity of the fish cages were significantly higher (eight times higher) than background values for Piran Bay (Kovac et al. 2003). Accumulation of organic and inorganic nutrients showed significant changes in redox potential and concentrations of chlorophyll a and phaeopigments in the sediment (Štrukelj 2008), as well as structure and abundance of meiofauna (Grego et al. 2009, 2020). The negative influence of fish farm on the phytoplankton and bacterio- plankton in immediate proximity was confirmed with in situ experiment with incubation in dialysis bags (Štrukelj 2008). In addition, we investigated the effects of feeding of the sea bass and sea bream on bacterial abundance and production in a short-term in situ experiment based on the simultaneous sampling of seawater from different sites around the fish cage before and after fish feeding (Fig. 5). Feeding fish with organically enriched fish food resulted in significant increases in total particulate matter, dissolved organic and inorganic nutrients in the sea- water of the cage and surrounding area. Increased concentrations of ammonium and orthophosphate could have triggered intense bacterial metabolism, which might be reflected in the recorded increase of the bacterial production. The observed higher P/B ratio reflects higher daily biomass produc- tion near the fish cages as compared to other sampling sites, although no significant differences in bacterial abundance were observed over the 3 h period. Previous results from the P-limited northern Adriatic showed that dissolved phospho- rus concentrations in fish farms were elevated in the water column compared to reference stations (Matijević et al. 2009), resulting in changes in abundance and production of phytoplankton and bacterioplankton (Šestanović et al. 2016). In our study area, correlations between the bacterial community and orthophosphate concentration have been documented (Sjöstedt et al. 2013, Malfatti et al. 2014, Tinta et al. 2015), as well as rapid turnover and uptake of orthophosphate (Turk et al. 1992). Similar effects of organic material input from fish farms on bacterial activity, espe- cially enzymatic activity, have been described in different aquaculture areas (Vezzulli et al. 2002, Caruso et al. 2003). The effects of dissolved wastes (inorganic and organic nutrients) depend on the rate at which these nutrients are diluted before being assimilated by the pelagic ecosystem. It is assumed that in cases where the flushing time (i.e., the time required to exchange the local water volume with new coastal water) is shorter than the typical microbial genera- tion time and the risks of an increase in nutrient concentrations caused by the fish farming do not result in a measurable increase in local microbial 19Turk and Tinta: Impact of aquaculture on bacterioplankton biomass (Black 2001). Smaller pelagic organisms such as bacteria near fish farms have access to highly available organic nutrients and have short generation times (Kirchman 2016). Because the generation time of heterotrophic bacteria in the Bay of Piran ranges from 5 to 82 hours (Turk et al. 2020), we did not detect differences in bacterial abundance in our 3-hour experiment. Changes in the concentrations of inorganic and organic nutri- ents mainly affect bacterial production. During the field experiment currents near the fish cage showed north-westerly to south-westerly direction with a velocity of 7 cm s-1 (Malačič and Forte 2003), which could influence the higher concentrations of inorganic nutrients and bacterial production at sampling sites located in this direction. The method of fluorescent in situ hybridiza- tion with rRNA-targeted oligonucleotide probes is widely used for cultivation-independent iden- tification, quantification, and visualization of microbes in different environments (Amann et al. 1990). Nitrifying bacteria are particularly difficult to culture, because they have a long generation time and poor counting efficiency. Analysis with oligonucleotide hybridization probes specific for different ammonia-oxidizing bacteria (probes Nso 1225 and NEU) showed that at least two differ- ent species of ammonia-oxidizing bacteria were present with a higher percentage in the seawater samples in the middle and around the fish cage. The importance of nitrifying bacteria in the context of fish culture has been studied previously (McCaig et al. 1999, Bissett et al. 2006). McCaig et al. (1999) demonstrated the importance of sediment contamination in fish farms on nitrification rates and the composition of ammonium-oxidizing bacteria. Using 16S rDNA clone library analysis, Bissett et al. (2006) demonstrated the presence of ammonium-oxidation Nitrospira associated clones and differences in the microbial community as a function of sediment pollution level. The groups of β-Proteobacteria, γ-Proteobacteria and Cy- tophaga – Flavobacterium -Bacteriodes reached a higher percentage at more distant sampling sites. The importance and seasonal changes in these bacterial communities has been demonstrated in recent studies but only on benthic communities using next -generation sequencing methods (Gar- ren et al. 2008, Fodelianakis et al. 2014, Quero et al. 2015, Martins et al. 2018, Duarte et al. 2019, Ape et al. 2019, Kolda et al. 2020, Roquigny et al. 2021). Species belonging to the genus Vibrio are heterotrophic bacteria that increases rapidly when nutrients are available (Thompson et al. 2006). Some Vibrio species are known pathogens of fish (Austin and Austin 2016), and the presence of Vibrio near the fish cages could be an important reservoir for fish pathogens that could spread over large geographic areas. Conclusions Given the rapid development of aquaculture, concerns remain about the environmental impact of intensive aquaculture on water and sediment quality, particularly in shallow and semi-enclosed bays. Our study suggests that aquaculture has moderate effects on water column parameters, and can cause changes in bacterial abundance, production and community composition, but only at a limited distance from fish cages. However, we did not follow change in the sediment where in fact these effects might be more pronounced. We also confirmed that concentrations of organic and inorganic nutrients change in a relatively short time after fish feeding, which affect the bacterial production. Changes in bacterial activity and community composition can lead to changes in biogeochemical cycling and ecological status of the environment. Sedimentation of organic matter has a strong impact on sediment quality and benthic community, but changes in the concentration of organic and inorganic nutrients in the water col- umn, as well as microbial abundance, production, and community composition in a relatively short time are not negligible. Preliminary fluorescence in situ hybridization results indicated changes in abundance of certain bacterial groups in response to pollution, as well as the presence of bacteria pathogenic to humans and fish. In the future, seasonal changes and long-term consequences should be investigated in the water column as well as sediment, to better understand changes in microbial community structure, and biogeo- chemical processes. 20Acta Biologica Slovenica, 2021, 64 (2), 9–23 Povzetek Dokumentirani številni negativni vplivi marikulture na okolje so povezani predvsem s kopičenjem ne-zaužite hrane in ekskrecijskih produktov v morskih vodi in na/v sedimentu. Rezultati naših meritev prostorskih razlik števila in hitrosti rasti populacije heterotrofnih planktonskih bakterij, kot tudi analize vsebnosti hranilnih snovi, so pokazali povišane vrednosti merjenih parametrov v bližini ribogojnice, ki pa se z oddaljenostjo od vira onesnaženja zmanjšujejo. Rezultati analize sestave bakterijskih združb z metodo fluorescentne in situ hibridizacije in izbranih bakterijskih oligonukleotidnih sond so pokazali prisotnost amonij-oksidirajočih bakterij, β-Proteobacteria, γ-Proteobacteria and Cy- tophaga – Flavobacterium kot tudi potencionalno patogenega seva Vibrio. Kopičenje organsko obogatene ribje hrane in odpadnih produktov, ki se sproščajo v morsko vodo znotraj ribje kletke in okolici v relativno kratkem času po hranjenju, je povzročilo znatno povečanje koncentracij par- tikulatne organske snovi, ortofosfata in amonija. Kot odgovor na povečanje anorganskih hranil smo izmerili znatno povečano bakterijsko produkcijo, medtem ko razlik v številu bakterij ni bilo opaziti. Acknowledgements This research was funded by the European 6th Framework Programme (ECASA; Ecosystem Approach for Sustainable Aquaculture. Project No. 006540). The authors acknowledge financial support from the Slovenian Research Agency (ARRS) (research core funding “Coastal Sea Research” (No. P1-0237), and the project “Driv- ers that structure coastal marine microbiome with emphasis on pathogens – an integrated approach” (No. J1-9157). We thank Alenka Malej for lead- ing the project, providing guidance and valuable comments during the study and support during the manuscript writing. We thank the staff of the Marine Biological Station (National Institute of Biology) for help in conducting the experiment and Milijan Šiško for statistical analysis. References Amann, R.I., Krumholz, L., Stahl, D.A. 1990. Fluorescent-oligonucleotide probing of whole cells for determinative, phylogenetic, and environmental studies in microbiology. Journal of Bacteriology, 172(2), 762-770. Ape, F., Manini, E., Quero, G.M., Luna, G.M., Sarà, G., Vecchio, P., Brignoli, P., Ansferri, S., Mirto, S. 2019. Biostimulation of in situ microbial degradation processes in organically-enriched sediments mitigates the impact of aquaculture. Chemosphere, 226, 715-725. Armstrong, S.M., Hargrave, B.T., Haya, K. 2005. Antibiotic use in finfish aquaculture: modes of action, environmental fate, and microbial resistance. In Environmental effects of marine finfish aquaculture. Edited by B.T. Hargrave. Springer Berlin Heidelberg, Berlin, Heidelberg. pp. 341-357. Asami, H., Aida, M., Watanabe, K. 2005. Accelerated sulfur cycle in coastal marine sediment beneath areas of intensive shellfish aquaculture. Applied and Environmental Microbiology, 71(6), 2925-2933. Austin, B., and Austin, D.A. 2016. Bacterial fish pathogens: disease of farmed and wild fish. In 6th ed. 2016. Springer International Publishing : Imprint: Springer, Cham. Azam, F., and Malfatti, F. 2007. Microbial structuring of marine ecosystems. Nature Reviews Micro- biology, 5(10), 782-791. Bissett, A., Bowman, J., Burke, C. 2006. Bacterial diversity in organically-enriched fish farm sediments: Bacterial diversity in organically-enriched fish farm sediments. FEMS Microbiology Ecology, 55(1), 48-56. Bissett, A., Burke, C., Cook, P.L.M., Bowman, J.P. 2007. Bacterial community shifts in organically perturbed sediments. Environmental Microbiology, 9(1), 46-60. Black, K.D. (Editor). 2001. Environmental impacts of aquaculture. In 1. publ. Sheffield Academic Pr. [u.a.], Sheffield. 21Turk and Tinta: Impact of aquaculture on bacterioplankton Bouwman, A.F., Beusen, A.H.W., Overbeek, C.C., Bureau, D.P., Pawlowski, M., Glibert, P.M. 2013. Hindcasts and future projections of global inland and coastal nitrogen and phosphorus loads due to finfish aquaculture. Reviews in Fisheries Science, 21(2), 112-156. Cabello, F.C., Godfrey, H.P., Tomova, A., Ivanova, L., Dölz, H., Millanao, A., Buschmann, A.H. 2013. Antimicrobial use in aquaculture re-examined: its relevance to antimicrobial resistance and to animal and human health: Aquacultural antimicrobial use and antimicrobial resistance. Environmental Microbiology, 15(7), 1917-1942. Caruso, G., Genovese, L., Mancuso, M., Modica, A. 2003. Effects of fish farming on microbial enzyme activities and densities: comparison between three Mediterranean sites. Letters in Applied Micro- biology, 37(4), 324-328. Castine, S.A., Bourne, D.G., Trott, L.A., McKinnon, D.A. 2009. Sediment microbial community analysis: Establishing impacts of aquaculture on a tropical mangrove ecosystem. Aquaculture, 297(1-4), 91-98. Christensen, P., Rysgaard, S., Sloth, N., Dalsgaard, T., Schwærter, S. 2000. Sediment mineralization, nutrient fluxes, denitrification and dissimilatory nitrate reduction to ammonium in an estuarine fjord with sea cage trout farms. Aquatic Microbial Ecology, 21, 73-84. Dowle, E., Pochon, X., Keeley, N., Wood, S.A. 2015. Assessing the effects of salmon farming seabed enrichment using bacterial community diversity and high-throughput sequencing. FEMS Micro- biology Ecology, 91(8), fiv089. Duarte, L.N., Coelho, F.J.R.C., Cleary, D.F.R., Bonifácio, D., Martins, P., Gomes, N.C.M. 2019. Bacte- rial and microeukaryotic plankton communities in a semi-intensive aquaculture system of sea bass (Dicentrarchus labrax): A seasonal survey. Aquaculture, 503, 59-69. FAO (Food and Agriculture Organization of the United Nations). 2018. The State of World Fisheries and Aquaculture. FAO, Rome. 2018. Fodelianakis, S., Papageorgiou, N., Pitta, P., Kasapidis, P., Karakassis, I., Ladoukakis, E.D. 2014. The pattern of change in the abundances of specific bacterioplankton groups is consistent across different nutrient-enriched habitats in Crete. Applied and Environmental Microbiology, 80(13), 3784-3792. Galand, P.E., Lucas, S., Fagervold, S.K., Peru, E., Pruski, A.M., Vétion, G., Dupuy, C., Guizien, K. 2016. Disturbance increases microbial community diversity and production in marine sediments. Frontiers in Microbiology, 7. Garren, M., Smriga, S., Azam, F. 2008. Gradients of coastal fish farm effluents and their effect on coral reef microbes. Environmental Microbiology, 10(9), 2299-2312. Grasshoff, K., Ehrhardt, M., Kremling, K., Almgren, T. (Editors). 1983. Methods of seawater analysis. In 2nd rev. and extended ed. Verlag Chemie, Weinheim. Grego, M., De Troch, M., Forte, J., Malej, A. 2009. Main meiofauna taxa as an indicator for assessing the spatial and seasonal impact of fish farming. Marine Pollution Bulletin, 58(8), 1178-1186. Grego, M., Malej, A., De Troch, M. 2020. The depleted carbon isotopic signature of nematodes and harpacticoids and their place in carbon processing in fish farm sediments. Frontiers in Marine Science, 7, 572. Hargrave, B., Duplisea, D., Pfeiffer, E., Wildish, D. 1993. Seasonal changes in benthic fluxes of dis- solved oxygen and ammonium associated with marine cultured Atlantic salmon. Marine Ecology Progress Series, 96, 249-257. Hargrave, B.T., Phillips, G.A., Doucette, L.I., White, M.J., Milligan, T.G., Wildish, D.J., Cranston, R.E. 1997. Assessing benthic impacts of organic enrichment from marine aquaculture. Water, Air, & Soil Pollution, 99(1-4), 641-650. Karakassis, I., Tsapakis, M., Hatziyanni, E. 1998. Seasonal variability in sediment profiles beneath fish farm cages in the Mediterranean. Marine Ecology Progress Series, 162, 243-252. Karakassis, I. 2000. Impact of cage farming of fish on the seabed in three Mediterranean coastal areas. ICES Journal of Marine Science, 57(5), 1462-1471. Kawahara, N., Shigematsu, K., Miyadai, T., Kondo, R. 2009. Comparison of bacterial communities in fish farm sediments along an organic enrichment gradient. Aquaculture, 287(1-2), 107-113. 22Acta Biologica Slovenica, 2021, 64 (2), 9–23 Kim, S.-R., Nonaka, L., Suzuki, S. 2004. Occurrence of tetracycline resistance genes tet (M) and tet (S) in bacteria from marine aquaculture sites. FEMS Microbiology Letters, 237(1), 147-156. Kirchman, D.L. 1994. The uptake of inorganic nutrients by heterotrophic bacteria. Microbial Ecology, 28(2), 255-271. Kirchman, D.L. 2016. Growth rates of microbes in the oceans. Annual Review of Marine Science, 8(1), 285-309. Kolda, A., Gavrilović, A., Jug-Dujaković, J., Ljubešić, Z., El-Matbouli, M., Lillehaug, A., Lončarević, S., Perić, L., Knežević, D., Vukić Lušić, D., Kapetanović, D. 2020. Profiling of bacterial assembla- ges in the marine cage farm environment, with implications on fish, human and ecosystem health. Ecological Indicators, 118, 106785. Kondo, R., Shigematsu, K., Kawahara, N., Okamura, T., Yoon, Y.H., Sakami, T., Yokoyama, H., Koizumi, Y. 2012. Abundance of sulphate-reducing bacteria in fish farm sediments along the coast of Japan and South Korea. Fisheries Science, 78(1), 123-131. Kovac, N., Čermelj, B., Vrišer, B., Lojen, S. 2003. Influence of fish farming on coastal marine sediment in Slovenia (Piran Bay, northern Adriatic):Final report. National Institute of Biology. Lee, S., and Fuhrman, J.A. 1987. Relationships between biovolume and biomass of naturally derived marine bacterioplankton. Applied and Environmental Microbiology, 53(6), 1298-1303. Lojen, S., Spanier, E., Tsemel, A., Katz, T., Eden, N., Angel, D.L. 2005. δ15N as a natural tracer of particulate nitrogen effluents released from marine aquaculture. Marine Biology, 148(1), 87-96. Luna, G.M., Corinaldesi, C., Dell’Anno, A., Pusceddu, A., Danovaro, R. 2013. Impact of aquaculture on benthic virus–prokaryote interactions in the Mediterranean Sea. Water Research, 47(3), 1156-1168. Malačič, V., and Forte, J. 2003. Distribution of the food surplus and faecal particles on the seabed bellow a fish farm in the Bay of Piran. Annales, Series Historia Naturalis, (13), 3-8. Malfatti, F., Turk, V., Tinta, T., Mozetič, P., Manganelli, M., Samo, T.J., Ugalde, J.A., Kovač, N., Stefanelli, M., Antonioli, M., Fonda-Umani, S., Del Negro, P., Cataletto, B., Hozić, A., Ivošević DeNardis, N., Žutić, V., Svetličić, V., Mišić Radić, T., Radić, T., Fuks, D., Azam, F. 2014. Microbial mechanisms coupling carbon and phosphorus cycles in phosphorus-limited northern Adriatic Sea. Science of the Total Environment, 470-471, 1173-1183. Martins, P., Coelho, F.J.R.C., Cleary, D.F.R., Pires, A.C.C., Marques, B., Rodrigues, A.M., Quintino, V., Gomes, N.C.M. 2018. Seasonal patterns of bacterioplankton composition in a semi-intensive European seabass (Dicentrarchus labrax) aquaculture system. Aquaculture, 490, 240-250. Matijević, S., Kušpilić, G., Morović, M., Grbec, B., Bogner, B., Skejić, S., Veža, J. 2009. Physical and chemical properties of the water column and sediments at sea bass/sea bream farm in the middle Adriatic (Maslinova Bay). Acta Adriatica, (50 (1)), 59-76. McCaig, A.E., Phillips, C.J., Stephen, J.R., Kowalchuk, G.A., Harvey, S.M., Herbert, R.A., Embley, T.M., Prosser, J.I. 1999. Nitrogen cycling and community structure of proteobacterial β-subgroup ammonia-oxidizing bacteria within polluted marine fish farm sediments. Applied and Environmental Microbiology, 65(1), 213-220. McGhie, T.K., Crawford, C.M., Mitchell, I.M., O’Brien, D. 2000. The degradation of fish-cage waste in sediments during fallowing. Aquaculture, 187(3-4), 351-366. Mirto, S., La rosa, T., Danovaro, R., Mazzola, A. 2000. Microbial and meiofaunal response to intensive mussel-farm biodeposition in coastal sediments of the western Mediterranean. Marine Pollution Bulletin, 40(3), 244-252. Mirto, S., Gristina, M., Sinopoli, M., Maricchiolo, G., Genovese, L., Vizzini, S., Mazzola, A. 2012. Meiofauna as an indicator for assessing the impact of fish farming at an exposed marine site. Ecological Indicators, 18, 468-476. Navarro, N., Leakey, R., Black, K. 2008. Effect of salmon cage aquaculture on the pelagic environment of temperate coastal waters: seasonal changes in nutrients and microbial community. Marine Eco- logy Progress Series, 361, 47-58. 23Turk and Tinta: Impact of aquaculture on bacterioplankton Pitta, P., Apostolaki, E.T., Tsagaraki, T., Tsapakis, M., Karakassis, I. 2006. Fish farming effects on chemical and microbial variables of the water column: a spatio-temporal study along the Mediter- ranean sea. Hydrobiologia, 563(1), 99-108. Price, C., Black, K., Hargrave, B., Morris, J. 2015. Marine cage culture and the environment: effects on water quality and primary production. Aquaculture Environment Interactions, 6(2), 151-174. Quero, G.M., Cassin, D., Botter, M., Perini, L., Luna, G.M. 2015. Patterns of benthic bacterial diver- sity in coastal areas contaminated by heavy metals, polycyclic aromatic hydrocarbons (PAHs) and polychlorinated biphenyls (PCBs). Frontiers in Microbiology, 6. Reimers, C.E., Alleau, Y., Bauer, J.E., Delaney, J., Girguis, P.R., Schrader, P.S., Stecher, H.A. 2013. Redox effects on the microbial degradation of refractory organic matter in marine sediments. Ge- ochimica et Cosmochimica Acta, 121, 582-598. Roquigny, R., Mougin, J., Le Bris, C., Bonnin-Jusserand, M., Doyen, P., Grard, T. 2021. Characteri- zation of the marine aquaculture microbiome: A seasonal survey in a seabass farm. Aquaculture, 531, 735987. Šestanović, S., Peković, J., Matijević, S., Ninčević Gladan, Ž. 2016. Effects of fish farming on micro- bial planktonic communities in the middle Adriatic sea. Aquaculture Research, 47(4), 1040-1054. Simon, M., and Azam, F. 1989. Protein content and protein synthesis rates of planktonic marine bacteria. Marine Ecology Progress Series, 51, 201-213. Sjöstedt, J., Pontarp, M., Tinta, T., Alfredsson, H., Turk, V., Lundberg, P., Hagström, Å., Riemann, L. 2013. Reduced diversity and changed bacterioplankton community composition do not affect utilization of dissolved organic matter in the Adriatic Sea. Aquatic Microbial Ecology, 71(1), 15-24. Smith, D.M., and Azam, F. 1992. A simple, economical method for measuring bacterial protein synthesis rates in seawater using 3H-leucine. Marine Microbial Food Webs, 6, 107-114. Štrukelj, M. 2008. Vpliv marikulture na okolje: diplomsko delo. Univerza Nova Gorica, Nova Gorica. Thompson, F.L., Austin, B.,Swings, J. (Editors). 2006. The Biology of Vibrios. ASM Press, Washing- ton, DC, USA. Tinta, T., Vojvoda, J., Mozetič, P., Talaber, I., Vodopivec, M., Malfatti, F., Turk, V. 2015. Bacterial community shift is induced by dynamic environmental parameters in a changing coastal ecosystem (northern Adriatic, northeastern Mediterranean Sea) - a 2-year time-series study: Bacterial com- munity shift in a dynamic coastal ecosystem. Environmental Microbiology, 17(10), 3581-3596. Turk, V., Rehnstam, A.-S., Lundberg, E., Hagström, Å. 1992. Release of Bacterial DNA by Marine Nanoflagellates, an Intermediate Step in Phosphorus Regeneration. Applied and Environmental Microbiology, 58(11), 3744-3750. Turk, V., and Malej, A. 2003. The influence of fish cage aquaculture on acterioplankton in the Bay of piran (Gulf of Trieste, Adriatic Sea. Annales, Series Historia Naturalis 13(1), 37-42. Turk, V., Malkin, S., Celussi, M., Tinta, T., Cram, J., Malfatti, F., Chen, F. 2020. Ecological role of microbes: current knowledge and future prospects. In Geophysical Monograph Series, 1st edition. Edited by T.C. Malone, A. Malej, and J. Faganeli. Wiley. pp. 129-145. Vezzulli, L., Chelossi, E., Riccardi, G., Fabiano, M. 2002. Bacterial community structure and activity in fish farm sediments of the Ligurian sea (Western Mediterranean). Aquaculture International, 10(2), 123-141. Vezzulli, L., Moreno, M., Marin, V., Pezzati, E., Bartoli, M., Fabiano, M. 2008. Organic waste impact of capture-based Atlantic bluefin tuna aquaculture at an exposed site in the Mediterranean Sea. Estuarine, Coastal and Shelf Science, 78(2), 369-384. Wang, X., Cuthbertson, A., Gualtieri, C., Shao, D. 2020. A Review on mariculture effluent: characte- rization and management tools. Water, 12(11), 2991.