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. 2016 Aug 11;6:30897. doi: 10.1038/srep30897

Terrestrial carbohydrates support freshwater zooplankton during phytoplankton deficiency

Sami J Taipale 1,2,a, Aaron W E Galloway 3, Sanni L Aalto 4, Kimmo K Kahilainen 5,6, Ursula Strandberg 2,*, Paula Kankaala 2
PMCID: PMC4980614  PMID: 27510848

Abstract

Freshwater food webs can be partly supported by terrestrial primary production, often deriving from plant litter of surrounding catchment vegetation. Although consisting mainly of poorly bioavailable lignin, with low protein and lipid content, the carbohydrates from fallen tree leaves and shoreline vegetation may be utilized by aquatic consumers. Here we show that during phytoplankton deficiency, zooplankton (Daphnia magna) can benefit from terrestrial particulate organic matter by using terrestrial-origin carbohydrates for energy and sparing essential fatty acids and amino acids for somatic growth and reproduction. Assimilated terrestrial-origin fatty acids from shoreline reed particles exceeded available diet, indicating that Daphnia may convert a part of their dietary carbohydrates to saturated fatty acids. This conversion was not observed with birch leaf diets, which had lower carbohydrate content. Subsequent analysis of 21 boreal and subarctic lakes showed that diet of herbivorous zooplankton is mainly based on high-quality phytoplankton rich in essential polyunsaturated fatty acids. The proportion of low-quality diets (bacteria and terrestrial particulate organic matter) was <28% of the assimilated carbon. Taken collectively, the incorporation of terrestrial carbon into zooplankton was not directly related to the concentration of terrestrial organic matter in experiments or lakes, but rather to the low availability of phytoplankton.


Primary production is a key process in the biosphere that synthesizes organic compounds (monosaccharides, amino acids, and fatty acids) fueling biomass production and function of organisms across the food webs. Both marine and freshwater food webs are rich in essential ω-3 and ω-6 polyunsaturated fatty acids (PUFA; refs 1,2), whereas terrestrial food webs are low in physiologically important eicosapentaenoic acid (EPA, 20:5ω3) and docosahexaenoic acid (DHA, 22:6ω3)3. Lipids and essential fatty acids (FA) synthesized by aquatic primary producers (phytoplankton, littoral algae) not only support aquatic food webs4,5,6, but also many insect, bird and mammalian species living at the interface of aquatic and terrestrial ecosystems, highlighting the importance of aquatic support to terrestrial food webs7,8,9. Aquatic subsidies to terrestrial ecosystems can be important since terrestrial food webs (e.g. arthropods) can become lipid-limited10. During recent decades, increased loading of terrestrial organic matter to freshwater systems has been detected in several boreal and temperate regions11. This may have direct and indirect effects on the availability and quality of diet sources for consumers, such as herbivorous zooplankton and fish in freshwater systems12,13,14. More studies on biochemical composition and assimilation of both terrestrial and aquatic diet sources are needed for understanding costs and benefits for aquatic consumers utilizing terrestrial resources.

Somatic growth and reproduction of consumers is strongly affected by the quality of lipids and proteins, specifically by the concentration and composition of ω-3 and ω-6 PUFA and amino acids2. Additionally, non-essential biomolecules such as carbohydrates are important dietary energy sources for consumers, which can save more valuable biomolecules, such as proteins for reproduction and somatic growth. This phenomenon is called “protein sparing” and is found in a wide range of organisms15,16. However, carbohydrates can only fulfill a consumer’s short-term energy demands, whereas lipids are important as long-term energy storage and consumers with high lipid content, in general, have high energy density. Lipid energy storage is important for some zooplankton taxa (e.g., Eudiaptomus sp., Limnocalanus macrurus, ref. 17) for over winter survival. In addition, the deficit of dietary lipids has shown to decrease somatic growth and reproduction in consumers at different trophic levels in the food chain up to predators (e.g. beetles, seabirds, sea lions; refs 18, 19, 20).

The role of terrestrial organic matter in supporting aquatic food webs (allochthony) is estimated to be significant in brown-water lakes and headwater rivers21,22,23, which receive large inputs of terrestrial organic matter from the catchment24,25. In food web studies based on stable carbon and/or hydrogen isotopes, dietary sources of consumers are often treated as biochemically homogenous groups (autochthonous or allochthonous), which may be difficult to separate due to overlapping isotope values, and rely on many assumptions in calculations for phytoplankton fractionation and ‘environmental water’26,27,28. Moreover, the isotope values of consumers are combinations of different organic carbon molecules (proteins, saccharides and lipids) often originating from distinct dietary sources29.

More than >90% of the allochthonous, terrestrial organic matter in aquatic ecosystems is in dissolved form and consists mainly of poorly bioavailable recalcitrant humic substances30,31. Only a small fraction (<20%) of the dissolved organic carbon (DOC) in freshwater systems consists of biodegradable low-molecular weight fraction, such as organic acids, free amino acids and carbohydrates32,33. These biodegradable molecules may maintain heterotrophic bacterial production and potentially support the higher trophic levels34. Many cladoceran zooplankton taxa are capable of utilizing bacteria as a dietary resource35,36. However, due to lack of essential PUFA and sterols, bacteria are not a nutritionally adequate resource, and cannot solely support somatic growth and reproduction of cladoceran zooplankton37,38.

In addition to bacteria, detrital particulate organic matter from terrestrial ecosystems, e.g., originating from fallen tree leaves or shoreline vegetation, can be directly utilized by primary consumers39. Terrestrial particulate organic matter (t-POM) in lakes is highly degraded and is mostly composed of lignin and cellulose, containing only trace amounts of fatty acids and sterols12,40,41. The predominant class of fatty acids in t-POM is the long chain saturated fatty acids (LC-SAFA) (>60%), whereas the proportion of PUFA (predominately α-linolenic acid, ALA, 18:3ω3) is <1% 41. Herbivorous zooplankton (crustacean Daphnia) can utilize t-POM, but as a sole diet source it yields poor growth and reproduction12,38,42.

In the current study, we combined experimental and field data to assess the importance of t-POM to cladoceran zooplankton. Based on previous experimental and field studies (e.g., Taipale et al. 2008, Galloway et al. 2014) we tested two hypotheses: 1) terrestrial-origin carbohydrates and proteins are assimilated efficiently and support biomass growth of cladoceran zooplankton, and 2) the utilization t-POM and bacteria by zooplankton is related to the concentration of allochthonous organic carbon in the lakes. Firstly, we analyzed biochemical composition of major potential aquatic (phytoplankton) and terrestrial food sources (t-POM of wetland reed and deciduous tree leaves) available for herbivorous zooplankton. Secondly, we tested how different levels of t-POM affect somatic growth of a model consumer organism, the cladoceran crustacean Daphnia magna, using these t-POM types and phytoplankton as diet sources as well as to estimate threshold values for autochthonous essential biomolecules support needed to maintain the optimal growth. We analyzed how the proportions of different biomolecules (carbohydrates, lipids, proteins) in the total body carbon of Daphnia changed with increasing diet allochthony and investigated if Daphnia was able to bioconvert terrestrial-originated carbohydrates to fatty acids. Thirdly, we studied zooplankton dietary assimilation in 16 boreal and in 5 subarctic lakes using fatty acid based mixing model calculations38,43, to identify the importance t-POM subsidy in different lake types.

Results

Quality of phytoplankton and t-POM

The biochemical composition of phytoplankton and t-POM, originating from tree and reed leaf litter, showed clear qualitative differences (Fig. 1A, Table 1). A high proportion of the leaves consisted of lignin (birch 65 ± 7%, reed 39 ± 0.1% of total organic carbon (TOC). Total carbohydrate content of reed leaves (>75% consisting of glucose) was significantly higher (39 ± 1% of TOC) than that of tree leaves (29 ± 5% of TOC) and phytoplankton (7–10% of TOC). In phytoplankton, the proportions of proteins and lipids of TOC were greater than in tree and reed leaves (Fig. 1A, Table 1).

Figure 1.

Figure 1

(A) Biochemical content (mean ± SD% of total organic carbon, TOC) of cryptophytes (Cryptomonas ozolinii), and green algae (Acutodesmus sp.), particles of dried birch (average of Betula pedula and B. pubescens czerepanovii) and reed (Phragmites australis) leaf litter and (B) corresponding values of Daphnia fed with those diets. Different letters (a–d) denote significant differences in carbohydrate, protein and lipid content between diet sources (A) and Daphnia fed solely with those diets (B).

Table 1. Klason lignin, carbohydrate, protein and lipid contribution of total organic carbon (TOC) in phytoplankton and in leaves of terrestrial trees and reed (na = not available).

Common name Functional Group Strain Media Klason lignin Carbohydrates Proteins Lipids
  Phytoplankton     Mean ± SD Mean ± SD Mean ± SD Mean ± SD
Green algae Acutodesmus sp. University of Basel MWC64 30.2 ± 0.3 18.8 ± 2.6 40.0 ± 0.0 11.0 ± 1.4
  Monoraphidium griffithii NIVA-CHL 8 MWC64 na 11.6 ± 1.9 31.9 ± 0.6 13.3 ± 7.4
  Average     30.2 ± 0.3 15.2 ± 5.1 36.0 ± 5.7 12.2 ± 1.6
Cryptophytes Cryptomonas ozolinii UTEX LB 2782 AF6 64 26.0 4.4 ± 1.1 50.6 ± 3.0 14.1 ± 2.5
  Cryptomonas erosa CPCC 466 AF6 65 na 8.2 ± 0.5 48.3 ± 1.9 5.9 ± 0.3
  Rhodomonas minuta CPCC 344 Z8 66 na 7.8 ± 1.3 na na
  Rhodomonas lacustris NIVA 8/82 Z8 66 na 8.7 ± 0.1 44.2 ± 1.2 6.7 ± 2.4
  Average ± SD       7.3 ± 2.0 47.7 ± 3.2 8.9 ± 4.5
Diatoms Diatoma tenuis CPCC 62 Chu 10 67 na 13.7 ± 2.2 38.1 ± 0.4 18.2 ± 2.0
  Navicula pellicosa UTEX B 664 Chu 10 67 na 10.9 ± 0.9 43.8 ± 5.4 9.2 ± 3.3
  Average ± SD       12.3 ± 2.0 41.0 ± 4.0 13.7 ± 6.4
Dinoflagellates Peridinium cintum SCCAP K-1721 MWC64 na 9.6 ± 0.7 33.8 ± 0.6 5.5 ± 2.4
Cyanobacteria Limnothrix planktonica NIVA-CYA 107 MWC64 na 13.5 ± 9.1 46.0 ± 1.1 3.6 ± 0.0
  Pseudanabaena limnetica NIVA 276/11 MWC64 na 7.1 ± 1.4 57.5 ± 0.9 4.7 ± 0.5
  Synechococcus elongatus   MWC64 na na na 3.4 ± 0.7
  Average ± SD       10.3 ± 4.5 51.8 ± 8.1 4.2 ± 0.7
Chrysophytes Mallomonas caudata Lake Horkkajärvi   na na 39.6 ± 0.7 18.2 ± 2.7
Leaves of terrestrial trees
Arctic Birch Betula pubescens subsp. czerepanovii Kilpisjärvi, Finland   60.0 ± 2.4 23.6 ± 2.6 12.4 ± 0.6 3.3 ± 0.8
Silver Birch Betula pendula Jyväskylä, Finland   70.3 ± 0.5 27.6 ± 0.9 12.6 ± 0.84 12.6 ± 0.8
Red alder Alnus rubra Seattle, USA   39.8 ± 2.0 26.1 12.4 ± 0.6 2.6 ± 0.1
Black cottonwood Populus trichocarpa Seattle, USA   32.8 ± 2.0 33.5 ± 4.9 na na
Willow Salix spp. Seattle, USA   46.0± 27.5 na na
Bigleaf maple Acer macrophyllum Seattle, USA   63.8 ± 0.7 37.7 ± 12.9 na na
  Average ± SD     52.1 ± 14.8 29.3 ± 5.2 12.5 ± 0.1 6.2 ± 5.6
Reed Phragmites australis Joensuu, Finland   39.2 ±0.1 39.0 ± 1.1 16.9 ± 0.0 1.5 ± 0.1

The fate of terrestrial carbohydrates, lipids and proteins in zooplankton

Our laboratory experiments showed that herbivorous zooplankton (Daphnia) fed on phytoplankton had significantly higher lipid content (Cryptophyte diet 44 ± 2%, green algal diet 31 ± 3% of TOC) than those fed solely on terrestrial diets (14–17% of TOC) (Fig. 1B). The contribution of carbohydrates to Daphnia (Fig. 1B) was higher in those fed on birch leaf particles (15 ± 3% of TOC) compared with those with the other diets. About half of the organic carbon in Daphnia consisted of proteins, the proportion being highest with reed diet (Fig. 1B).

Along with increasing allochthony with the mixed diet of Acutodesmus green alga and t-POM, no trend in carbohydrate content was seen in Daphnia fed with reed leaf particle mixtures (Fig. 2A). In Daphnia fed with birch leaf particle mixtures, the proportion of carbohydrates of TOC increased significantly with allochthony, although the variation was rather high (Fig. 2A). The proportion of fatty acids in Daphnia decreased significantly with the diet allochthony both with birch and reed particle mixed diets (Fig. 2B). Until ca. 90% allochthony, the fatty acid content was higher in those fed with reed mixed particles compared with the birch treatment. The contribution of proteins increased slightly with allochthony gradient with birch mixed particles, while in reed treatment the variation between replicates was too high to produce a significant regression (Fig. 2C).

Figure 2.

Figure 2

(A) Proportion of carbohydrates, (B) fatty acids (FA) and (C) proteins in Daphnia body carbon (% of TOC) grown with diets mixed with Acutodesmus green alga and birch or reed particles. Best fit linear or exponential model equations with R2 and P values are also shown.

The proportion of assimilated terrestrial organic carbon increased with the proportion of t-POM in the diets. The contribution of assimilated terrestrial organic carbon was greater based on stable isotopes than on fatty acids in both terrestrial diets (Fig. 3A,B), but the difference was greater in the birch experiment. Based on stable isotopes, the assimilated proportion of terrestrial-origin organic carbon was similar than that available in the diet with both t-POM sources (Fig. 3C,D). In the reed experiment, the proportion of assimilated saturated fatty acids in Daphnia exceeded that of available in the diet (Fig. 3F), whereas in the birch experiment, the proportion of assimilated saturated fatty acids was lower than what was available in t-POM (Fig. 3E). Thus, Daphnia fed on reed leaf particles had 6-times higher fatty acid assimilation rate relative to the ones fed on birch leaf particles.

Figure 3.

Figure 3

Assimilation of terrestrial-origin carbon by Daphnia in relation to the proportion of terrestrial particulate organic carbon (t-POC) in (A) mixed birch-algae diet (square) and (B) in mixed reed-algae diet (diamond). The assimilation of terrestrial-origin organic carbon (OC) (filled black and red symbols), based on stable isotope analyses, did not differ to that available in the diets (filled grey symbols; (C,D). The proportion of assimilated terrestrial-origin fatty acids (FAs) by Daphnia (white squares) was lower than that available in mixed birch-algae diet (yellow squares) but higher (white diamonds) than that available in mixed reed-algae diet (yellow diamonds; E,F).

In the 10-day experiment, Daphnia achieved optimal somatic growth rate (90% of maximal somatic growth) when the proportion of autochthonous (Acutodesmus) carbon was ≥27% and ≥9.5% of total dietary carbon in birch-algae and reed-algae diet mixtures, respectively (dashed lines in Fig. 4A,B). In terms of biochemical content, this meant that Daphnia required 108 μg of ω-3 fatty acids mg C−1, 11 μg of sterols mg C−1 and 0.5 mg proteins mg C−1 from Acutodesmus to achieve optimal somatic growth in the birch-algae experiment. The autochthonous supplements needed in reed-algae experiment were much smaller: 37 μg of ω-3 fatty acids mg C−1, 4 μg of sterols mg C−1, and 0.2 mg proteins mg C−1. In the second experiment lasting 21 days, Daphnia were cultured either solely with Acutodesmus concentration gradient from 0.25 to 5 mg C L−1 or with the same concentration gradient of Acutodesmus, but supplemented with birch leaf particles up to concentration 5 mg C L−1 (Fig. 4C). This experiment demonstrated that when the proportion of autochthonous algae in Daphnia diet was less than 47% of total carbon content (equals to < 2.4 mg C L−1), somatic growth of Daphnia benefitted from birch leaf particles (Fig. 4C). At this threshold 7% of ω-3 fatty acids, 23% of sterols, 60% of carbohydrates and 26% of proteins in the diet were of terrestrial origin (Fig. 4D).

Figure 4.

Figure 4

Somatic growth rate of Daphnia in relation to the proportion of autochthonous carbon during a 10-day experiment, fed with (A) mixed birch-algae diet (square), and (B) with mixed reed-algae diet (diamond) in non-limiting food conditions (5 mg C L−1). Dashed lines refer to optimal growth rate threshold (or 90% of maximal somatic growth). (C) Biomass growth rate of Daphnia in relation to the proportion of autochthonous carbon during a 21-day experiment fed with pure green algae (Acutodesmus sp.; triangle) in food gradient from 0.25 to 5 mg C L−1 and with mixed diet of green algae and silver birch leaf particles (total food concentration 5 mg C L−1; square). Daphnia benefitted from additional terrestrial carbon when algal food concentration was < 2.4 mg C L−1. Dashed line refers to threshold point where terrestrial addition did not benefit Daphnia anymore. Shaded areas in A, B and C are the 95% confidence intervals. (D) The proportions of biochemical compounds in Daphnia diet along with decreasing allochthonous (allo) and increasing autochthonous (auto) carbon. Pure terrestrial diet mainly consisted of carbohydrates (CH) and undigestible compounds (others), whereas pure autochthonous diet had high protein and lipid content. (Symbols: ω-3 = ω-3 fatty acids, STE = sterols).

Cladoceran allochthony in lakes

The sampled wild zooplankton from all lakes fell inside of the multivariate resource-polygons of the resource library of the fatty acid profiles of Daphnia fed end members in controlled feeding trial (Fig. 5A), a prerequisite best practice for bio-tracer based mixing model analysis43,44. The contribution of high-quality phytoplankton (rich in EPA; ref. 12) diets in cladocerans differed among lake types (ANOVA, F3,27 = 6.97, p = 0.001), and appeared to be a less important dietary resource for cladocerans in brown-water lakes as compared with the other lake types (Fig. 5B). In clear-water, subarctic and eutrophic lakes 50–70% of cladoceran diets consisted of high-quality phytoplankton, the greatest proportion appearing in the eutrophic lakes. In the utilization of high-quality resources, post-hoc tests found significant differences between brown-water lakes and eutrophic lakes (p = 0.001), but differences were not statistically significant between brown-water and clear or subarctic lakes. The proportion of medium-quality (phytoplankton rich in ALA; 18:3ω3) diets did not differ among lake types (ANOVA, F3,27 = 1.48, p = 0.243), but support from low-quality diets (the lowest content of ω-3 fatty acids, i.e. t-POM and bacteria) did differ among lake types (ANOVA, F3,27 = 3.72, p = 0.023). However, post-hoc tests between lake types for low-quality diets did not differ (Fig. 5B).

Figure 5.

Figure 5

(A) Principal components analysis (PCA) visualizing the multivariate fatty acid resource-library of experimentally fed Daphnia fed known basal end-members and the wild cladocerans collected in the study lakes. Each colored filled circles is the mean fatty acid profile of Daphnia fed a different basal taxon within each of the nine end-member groups [abbreviations: Actino (Actinobacteria); Crypto (Cryptophyceae); Cyano (Cyanophyceae); Diatom (Heterokontophyta); Dino (Dinophyceae); Golden (Synurophyceae); Green (Cryptophyceae); MOB (methane oxidizing bacteria); t-POM (terrestrial particulate organic matter, Plantae)]. Gray symbols are the fatty acid profiles of wild cladocerans collected in each of the 4 lake types. The total variation explained by each PC is displayed on the axes. PC3 (not presented) explained 12% of the total variation. (B) The contribution (Boxplots with median, 25th and 75th percentiles, with whiskers for 5th and 95th percentiles) of diet nutritional quality for Daphnia was divided into high (phytoplankton with EPA), intermediate (phytoplankton with high levels of ALA) and poor (low content of ω-3 fatty acids; Actinobacteria, MOB and t-POM) quality diets, as modeled by FASTAR.

Terrestrial particulate organic matter (t-POM) contributed approximately 11 ± 6% (Mean ± SD of median values), but varied between lakes (Fig. 6, Table 2). Assimilated t-POM content differed among lake types (ANOVA, F3,27 = 5.45, p = 0.005), being higher (15 ± 7% of all) in brown-water, clear-water (10 ± 5% of all), and subarctic lakes (14 ± 3% of all) than in the eutrophic lakes (3 ± 2% of all). Correspondingly, the sum of autochthonous phytoplankton consisted in average 64 ± 24% of cladoceran diets and the proportion differed among the lake types (ANOVA, F3,27 = 4.96, p = 0.007), with eutrophic lakes having the highest (86 ± 5%) phytoplankton assimilation by zooplankton (Fig. 6). Cryptophytes and diatoms were the most important dietary resources in all lake types. Cryptophytes were the major dietary resource for cladocerans in eutrophic (49 ± 16% of all) and subarctic lakes (28 ± 11% of all), whereas diatoms were the major dietary source in clear-water (22 ± 11% of all) and brown-water lakes (15 ± 11% of all). Additionally, green algae contributed 12 ± 14% of all diet sources in brown-water lakes and dinoflagellates contributed 13 ± 15% of all diets in clear-water lakes.

Figure 6. FASTAR mixing model estimates of the proportional assimilation of basal resources by wild cladocera from 9 basal resource groups at the four lake types (rows).

Figure 6

The model was run using all 24 fatty acids in the profiles of Daphnia fed known end-member diets (see Methods; Fig. 4A) in independent feeding trials. Each plot shows the posterior density (y-axis) of results from the mixing model for a given dietary source (x-axis). The FASTAR solution for Daphnia from each individual lake are reported as different colored distributions for each replicate [brown lakes (n = 10); clear lakes (n = 10); subarctic lakes (n = 7); and eutrophic lakes (n = 4)], along with median ‘lake-level’ solution compiled from all replicates within that lake type (non-colored distribution). Resource group names (columns) follow abbreviations defined in the Fig. 5 caption.

Table 2. Brown-water, clear-water, subarctic and eutrophic lakes were sampled between 2006 and 2015.

Lake Latitude (°N) Longitude (°E) Month and year Zooplankton Fraction DOC (C mg/l) tot N μg/l tot P μg/l Chl α μg/l Phytop (%) MOB (%) t-POM (%) Actino (%)
Nimetön 61.220 25.190 May 2006 Daphnia longispina PLFA 22.3 828 31 8.5 66.7 0.3 17.4 1.2
Nimetön 61.220 25.190 May 2006 Daphnia + Holopedium PLFA 22.3 828 31 8.5 55.9 0.3 15.4 1.4
Mekkojärvi 61.230 25.140 May 2006 Daphnia longispina PLFA 26.3 419 17 11.3 75.0 1.5 6.3 1.0
Mekkojärvi 61.230 25.140 Jul 2006 Daphnia longispina TFA 22 419 17   60.7 15.1 11.5 3.1
Mekkojärvi 61.230 25.140 Oct 2006 Daphnia longispina PLFA 17.6 786 27 12.9 55.6 5.3 14.0 4.0
Horkkajärvi 61.210 25.150 Aug 2013 Daphnia TFA 31.6 766 17 13.8 47.9 13.5 4.8 17.4
Harkkojärvi 62.960 31.040 Aug 2013 Daphnia TFA 16.6 554 18.3 8.2 67.1 0.5 9.1 10.4
Harkkojärvi 62.960 31.040 Aug 2013 Daphnia TFA 16.6 554 18.3 8.2 52.0 0.9 27.4 12.8
Harkkojärvi 62.960 31.040 Aug 2013 Daphnia TFA 16.6 554 18.3 8.2 57.3 0.2 19.4 9.8
Nuorajärvi 62.680 31.120 Aug 2013 Daphnia TFA 16.1 478 22 6.1 55.7 0.4 20.8 20.4
Vähä-Valkjärvi 61.190 25.090 Aug 2011 Bosmina TFA 6.0 581 17 19.9 72.4 0.4 12.0 3.9
Valkea Mustajärvi 61.220 25.120 Aug 2011 Daphnia TFA 5.1 349 12 16.3 50.2 0.3 17.1 2.8
Valkea Mustajärvi 61.220 25.120 May 2006 Holopedium, Bosmina PLFA 5.1 367 8 3 85.8 0.2 10.1 1.3
Syrjänalunen 61.190 25.140 Aug 2013 Daphnia TFA 2.5 271 7 3.1 82.7 1.8 3.0 7.7
Iso Valkjärvi 61.190 25.110 Aug 2013 Daphnia TFA 4.5 402 12 6.4 64.5 0.4 11.4 6.4
Ylinen 62.600 30.220 Aug 2013 Daphnia TFA 6.9 458 7 2.3 72.6 0.4 15.4 5.1
Ylinen 62.600 30.220 Aug 2013 Daphnia TFA 6.9 378 3.6 2.3 48.4 0.4 9.4 29.5
Kuorinka 62.620 29.420 Aug 2013 Daphnia TFA 2.8 190 1.6 1.3 46.9 0.3 9.6 11.1
Kuorinka 62.620 29.420 Aug 2013 Daphnia TFA 2.8 190 1.6 1.3 85.6 0.2 4.2 4.7
Kermajärvi 62.430 28.720 Aug 2013 Daphnia TFA 8.0 417 4.6 2.3 77.1 1.5 5.0 1.9
Oikojärvi 68.500 21.130 Sept 2011 Daphnia TFA 5.6 215 7 2.6 60.3 0.3 12.7 5.5
Oikojärvi 68.500 21.130 Sept 2011 Daphnia TFA 5.6 215 7 2.6 51.4 0.3 14.7 16.1
Ropijärvi 68.410 21.350 Sept 2011 Daphnia TFA 5.4 273 10 2.9 76.0 0.2 16.2 4.5
Kuohkimajärvi 69.030 20.330 Sept 2012 Daphnia TFA 3.0 269 18 1.3 41.8 0.3 13.9 40.0
Kuohkimajärvi 69.030 20.330 Sept 2012 Daphnia TFA 3.0 269 18 1.3 65.3 0.2 8.6 23.2
Siilasjärvi 69.040 20.450 Sept 2012 Daphnia TFA 1.9 159 5 1.2 73.0 0.4 11.7 2.0
Kilpisjärvi 69.000 20.490 Sept 2012 Daphnia TFA 2.8 351 9 0.9 74.4 0.3 17.1 3.0
Lovonjärvi 61.080 25.030 Jul 2015 Daphnia, Bosmina TFA 13.5 785 49 24.4 89.1 0.7 3.4 2.6
Kyynäröinen 60.870 24.170 Jul 2015 Cladocerans TFA 16.9 965 77 44.9 89.9 1.3 2.6 4.4
Kataloistenjärvi 61.020 24.940 Jul 2015 Cladocerans TFA 8.9 620 35 11.1 80.5 0.4 2.3 9.7
Tuusulanjärvi 60.400 25.100 Jul 2015 Daphnia TFA 9.2 940 69 29.0 82.7 0.7 5.5 4.9

Some of them were sampled several times or at 2–3 sites. Mean values of dissolved organic carbon (DOC), total nitrogen (tot N), total phosphorus (tot P) and chlorophyll a content (Chl a) are also shown. Cladoceran zooplankton consisted of different species (Daphnia, Holopedium and Bosmina). Total fatty acids (TFA) or phospholipids fatty acids (PLFA) were analyzed from zooplankton. FASTAR results of median contribution (%) of phytoplankton (Phytop), methane oxidizing bacteria (MOB), terrestrial particulate organic matter (t-POM) and Actinobacteria (Actino) are presented here.

The proportion of methane oxidizing bacteria (MOB) in cladoceran diets was generally low (<2%) with the exception of two small brown-water lakes (Mekkojärvi and Horkkajärvi, Table 2). The proportion of Actinobacteria in the cladoceran diet varied within and between lakes, maximum in the subarctic Lake Kuohkimajärvi (32 ± 12%). If all Actinobacteria are assumed to be 100% supported by allochthonous organic carbon, the average zooplankton allochthony would have been 19 ± 10%. The proportions of t-POM and Actinobacteria in the zooplankton diets were not correlated with water colour, DOC, nitrogen, phosphorus or chlorophyll-a concentration of the lakes (r < 0.1, P > 0.05).

Discussion

Our field and laboratory study of herbivorous zooplankton demonstrates that although freshwater ecosystems are strongly affected by their catchment, terrestrial organic matter can only limitedly support zooplankton production and its contribution varies greatly among lakes. We show that the assimilation of terrestrial organic carbon is not directly related to its availability, but rather to the lack of better quality diets. We demonstrated that this is due to the fact that terrestrial plant litter entering lakes contains high amounts of biologically unavailable lignin, and more carbohydrates, but less proteins and lipids (including essential fatty acids and amino acids) per carbon unit than aquatic primary consumers require for their optimal growth and reproduction. In the absence of phytoplankton and under circumstances of forced high allochthony, the carbohydrate content of herbivorous zooplankton increased from ~6 even up to 10% of TOC, reflecting the poor biochemical quality of terrestrial organic matter. We found that when algal food availability is low, t-POM supplements benefit somatic growth of Daphnia, thus, partly supporting our first hypothesis. However, due to the low-lipid and low-protein content, terrestrial organic carbon could support growth only up to a certain threshold, indicating that herbivorous zooplankton have to satisfy the most essential biochemical demands mainly with phytoplankton (e.g., refs 42 and 45).

Leaf litter of common deciduous trees in the North-America and Scandinavia consists mainly of lignin, which is non-digestible for zooplankton, and is a poor source for proteins, ω-3 FA and sterols, shown by our biochemical analyses (this study, refs 12 and 38). Carbohydrates are the most beneficial compounds of t-POM, which can be utilized by aquatic primary consumers. Due to their higher carbohydrate and protein content, the quality of reed leaf particles was a better dietary resource for herbivorous cladocerans than that of tree leaves. In fact, Daphnia fed with mixed reed-algae diet had a higher somatic growth rates than those grown with mixed birch-algae diet. Glucose is the major oligosaccharide in the leaves, suggesting that t-POM can be an optimal short-term energy source for zooplankton. This was observed in our 20-day laboratory experiments, where birch supplementation enhanced Daphnia growth significantly when phytoplankton concentration was low. The results show that Daphnia uses a ‘sparing strategy’ in circumstances of high carbohydrate, but low lipid and protein availability to maximize its somatic growth. Thus, Daphnia is able to use terrestrial carbohydrates for energy and save proteins (amino acids) and lipids (fatty acids) for structural components.

Daphnia fed on tree leaf particles had ~twice higher carbohydrate content than what was found in those fed on reed. This, together with low ω-3:ω-6 –ratio of tree leaves12,38,41, indicated higher nutritional stress in Daphnia using the birch diet than in those using reed or phytoplankton diets. Furthermore, the assimilated proportion of terrestrial-origin fatty acids by Daphnia in the reed experiment was higher than the proportion available in the diet, suggesting that Daphnia is able to convert excess carbohydrates from reed leaves to fatty acids. However, this was not observed in Daphnia with birch leaf diet, for which the lower proportion of carbohydrates in the diet possibly forced Daphnia to use both terrestrial-origin carbohydrates and fatty acids to meet its energy demand. Since the carbon isotope signal comes from all organic compounds, the difference between stable isotopes and fatty acids (two source mixing model) results is due to the utilization of terrestrial-origin proteins and carbohydrates. The difference between the methods was smaller in the reed diet than in the birch diet even though the reed diet initially contained less fatty acids than birch diets. Therefore, Daphnia has likely obtained fatty acids by conversion from carbohydrates in the reed experiment. Our estimates of t-POM utilization by herbivorous zooplankton in 21 lakes based on fatty acid mixing model (FASTAR) results are within the range of zooplankton allochthony estimates for temperate and boreal lakes based on stable carbon (δ13C) and/or hydrogen (δD) isotope analyses46,47,48. In stable isotope mixing-model calculations phytoplankton is generally assumed to be one solid group, because although carbon isotope values can differ greatly between taxa49,50, this is rarely if ever measured. This problem does not occur in fatty-acid based modeling since group-specific fatty acid characteristics of phytoplankton and other resources are included in the resource library of the model. The fatty acid mixing model analyses (FASTAR) show that in all four lake types, the high-quality phytoplankton (cryptophytes and diatoms) form the base of herbivorous zooplankton diet. Use of these high quality resources, which are rich in essential amino acids, fatty acids, and sterols51,52. Also makes somatic growth and reproduction for zooplankton possible during utilization of lower quality diets12,37.

Our second hypothesis, that the utilization t-POM and bacteria by zooplankton is related to the concentration of allochthonous organic carbon in the lakes was not supported. We found that the contribution of t-POM in zooplankton diet varies greatly within and among the lakes (from 2 to 27%). Even if >90% of allochthonous carbon inputs is in dissolved form30,31, suggesting that microbial food chain could be the major link between terrestrial food sources and herbivorous zooplankton22, our fatty acid-based mixing model results from 21 lakes indicate that in most cases the contribution of t-POM exceeded that of Actinobacteria. This is in agreement with our previous results analyzing cladoceran basal resource support in large boreal lakes43. Furthermore, the DOC concentration of lakes did not correlate with the contribution of Actinobacteria in the cladoceran diets. Thus, our results suggest that the major pathway of terrestrial organic carbon to zooplankton is not diverted via heterotrophic DOC-utilizing bacteria53. Strong positive relationships found between biomasses and production of phytoplankton and bacteria, generally observed in lake ecosystems, suggest that phytoplankton-origin DOC is a very important carbon source for heterotrophic bacteria in all kinds of lakes54,55. Moreover, the poor growth efficiency of heterotrophic bacteria utilizing terrestrial DOC56,57 also supports this conclusion. However, the microbial food chain, via bacteria to protozoans, may have some importance in the transfer of terrestrial carbon to higher trophic levels. Here, the quality of organic matter and picoplankton prey available for heterotrophic protozoans affect their quality as diet source to the next trophic level, metazoan plankton58. It should also be noted that each additional step in the food chain cause respiratory losses lowering the transfer efficiency of terrestrial carbon to higher trophic levels44,59.

The high variation in the estimated cladoceran t-POM utilization indicates that when lipid and protein rich autochthonous organic carbon sources are scarce, herbivorous zooplankton can use terrestrial-origin carbohydrates, lipids, and proteins more intensively. This finding is supported by results of 21 lakes, where the assimilation of t-POM was not correlated with DOC concentration, although, in general, higher cladoceran allochthony was detected in the brown-water lakes. For example, in Lake Horkkajärvi, which had the highest DOC concentration of all the sampled lakes, the observed proportion of t-POM assimilated by cladocerans was very low, presumably due to the high densities of better quality food sources (e.g. autotrophic and mixotrophic algae)48,54 during the sampling season. In small stratified lakes methane-oxidizing bacteria (MOB) can significantly contribute to zooplankton diets60,61 as found in the two lakes of this study. The trophic pathway from methane to higher trophic levels via MOB may be more related to anaerobic decomposition of fresh, autochthonous organic matter than to allochthonous sources62.

Our results are in accordance with recent model results based on field experiments in five lakes63, in which zooplankton biomasses and production were low when allochthony exceeded 30%. This was related to the light extinction by brown-coloured terrestrial DOC suppressing phytoplankton primary production and biomass64,65 available for zooplankton grazers. The high level of zooplankton allochthony seems to be a consequence of the absence of better quality dietary sources rather than the result of the high availability of terrestrial organic matter. Zooplankton allochthony was not the highest in the lakes with the most pronounced loadings of terrestrial matter and this was likely explained by the biochemical composition of t-POM and by nutritional requirements of herbivorous zooplankton. The high estimates of assimilated t-POM by cladoceran zooplankton obtained with the fatty acid mixing model could also indicate low nutritional status of zooplankton in the lakes41,43.

In conclusion, allochthony of herbivorous zooplankton varies among different type of boreal lakes, and is mainly defined by the availability of lipid and protein-rich phytoplankton. We show that cladocerans use primarily carbohydrates for energy, but can also exploit some lipids and proteins of terrestrial matter for somatic growth. Leaves of shoreline vegetation (reed) had better dietary quality than those of birch, containing less lignin and more glucose, which Daphnia was able to partially bioconvert to more usable saturated fatty acids. However, this was not observed in birch diet with low carbohydrate content. Overall, we suggest that relatively high proportion of terrestrial organic carbon in cladocerans and in other aquatic herbivores can result from multiple biochemical processes and that the degree to which organic matter produced by terrestrial plants can support freshwater food webs may depend upon the biochemical content of different terrestrial vegetation. However, the high content of lipids, proteins and other essential biomolecules produced by phytoplankton are needed to sustain all types of aquatic food webs.

Methods

Zooplankton and phytoplankton cultures

All experiments were conducted using a clone of Daphnia magna (DK-35-9, hereafter Daphnia), initially grown and maintained on Acutodesmus sp. which was obtained from the Institute of Zoology, University of Basel. We also used Cryptomonas erosa (CPCC 466) as high quality diet control in our experiments. Acutodesmus sp. was cultured using modified WC solution supplemented with biotin and cyanocobalamin (B12)66. Cryptomonas erosa was cultured using AF6 media67. In addition, we cultured some more phytoplankton strains listed in Table 1. Each strain was cultured in a medium specific to that strain (Table 1) and were grown at 20 °C under a 14 h:10 h light:dark cycle with light intensity of 30–70 μmol m−2 s−1. To obtain differences in carbon isotope signals between the diets, Acutodesmus sp. cultures were enriched with 13C, 3% of the NaHCO3 in the MWC media consisted of NaH13CO3 (99%), Cambridge Isotope Laboratories].

Terrestrial carbon source

We used leaf litter particles of common reed [Phragmites australis (Cav.) Trin. ex Steud], silver birch (Betula pendulata) and arctic birch (Betula pubescens subsp. czerepanovii) as terrestrial particulate organic matter (hereafter called t-POM) food resources for zooplankton Daphnia magna. We collected reed leaves from the shore of Lake Pyhäselkä (eastern Finland), and ground it to small particles using a Fritsch Planetary Mono Mill Pulverisette 638. The particles were then diluted into the WC Media directly and incubated for one month in the. Silver birch and arctic birch leaves were ground to fine particles using a Retch ZM 100 GWB ultra centrifugal Mill41. For this experiment ground t-POM was diluted into modified Woods Hole (WC) medium68 and filtered through a 50 μm screen and incubated one month in the dark with continuous shaking at 120 rpm.

Batch experiment

Daphnia neonates (~6 h old) were used for all experiments. Neonates from specific adults were divided equally between treatments to minimize maternal effects69 and distributed individually into glass vials (40 mL of L16 media) with each treatment consisting of 10 replicates. The media was changed and the Daphnia fed every other day with total food concentrations of 1.5, 2 and 5 mg C L−1 for ages 2, 4 and 6 + days, respectively. These food concentrations were above the incipient limiting level for ingestion70. In a 10-day experiment Daphnia was fed with pure (100%) diets of t-POM, and each taxon of phytoplankton (Cryptomonas erosa and Acutodesmus sp.), and also in gradients of diets consisting 95%, 75%, 50%, 25% and 5% of t-POM and mixed with 5%, 25%, 50%, 75%, 95% of intermediate quality phytoplankton (Acutodesmus sp.), respectively, to evaluate how the allochthonous diet impacts on Daphnia lipid, protein and carbohydrate content.

Life table experiment

In the life table experiment lasting 21 days, Daphnia were cultured solely with Acutodesmus in a food concentration gradient, 0.25, 1.25, 2.5, 3.75, 4.75 and 5 mg C L−1, and in parallel cultures with the same concentration gradient of Acutodesmus, but added with birch leaf particles up to concentration 5 mg C L−1. We compared somatic growth of Daphnia in these treatments to find out does birch leave particles enhance growth under low availability of autochthonous carbon. This experiment was carried out in 40 mL vials. At the end of the experiment the size of Daphnia was measured under a microscope, and the individuals were then placed into 1.5 mL Eppendorf® tubes, freeze-dried and stored at −80 °C. Preserved individuals were randomly divided between lipid, fatty acid, carbohydrate and stable isotope analyses. Total biomass growth rate (g) of pooled Daphnia for each treatment were calculated as g = (lnBt21 − lnBt0)/t, where B is biomass (dry weight) at the end (t21) and at the beginning (t0) of the experiment.

Lipid, fatty acid and sterol analyses

Lipids were extracted with chloroform:methanol:water (2:1:0.75) from freeze-dried, homogenized cladocerans (0.1–1 mg), terrestrial matter (3–7 mg) and phytoplankton (1–4 mg) samples. The organic phases were pooled, chloroform evaporated off under nitrogen and lipids were measured gravimetrical difference in smooth wall tin capsules. Fatty acid samples were transmethylated with 1% H2SO4 in methanol and FA methyl esters were run with a gas chromatograph equipped with a mass spectrometer (GC-MS, Shimadzu Ultra) at University of Jyväskylä or at University of Helsinki. Both instruments were equipped with an Agilent® DB-23 column (30 m × 0.25 mm × 0.25 μm), under the following temperature program: 60 °C for 1.5 min, then the temperature was increased at 10 °C min−1 to 100 °C, followed by 2 °C min−1 to 140 °C, and 1 °C min−1 to 180 °C and finally heated at 2 °C min−1 to 210 °C and held for 6 min6. Sterols were silylated and analyzed with a gas chromatograph (Shimadzu) equipped with a mass detector using Phenomenex ® (Torrance, California, USA) ZB-5 Guardian column (30 m × 0.25 mm × 0.25 μm) and previously published temperature program71.

Klason lignin analysis

Klason lignin content of terrestrial particulate matter and phytoplankton was determined by two-step strong acid hydrolysis with sulfuric acid according to National Renewable Energy Laboratory72. In the first stage, about 0.01–0.3 g of sample and 3 ml of 72% H2SO4 was added to tube and the tubes were placed in a water bath at temperature 30 °C. The samples were stirred during the treatment. After the hydrolysis, the acid was diluted to a 4% concentration by adding 84 ml Millipore-grade water. In the second stage the sample tubes were autoclaved for 1 h in pressure 1 bar (at 121 °C). After autoclaving the samples were separated using sinter glasses (ROBU, 42 mm, 30 mL) and vacuum filtrate system. The sinter glasses with the precipitate were dried at 105 °C for 12 h and weighted, which after sinter glasses were burnt at 550 °C for 3 h, cooled and weighted again. Klason-lignin content was calculated as difference of sinter glasses after filtering and dried at 105 °C and burnt at 550 °C.

Carbohydrate analyses

Total carbohydrate content was measured using Dubois et al.73 protocol in which glucose is dehydrated to hydroxymethyl furfural in hot acidic medium. Practically, 0.1–1 mg of freeze-dried Daphnia, terrestrial organic matter or phytoplankton was diluted with 1 mL of deionized (MQ) water and 1 mL of 5% phenol solution and 5 mL of sulphuric acid (96% reagent grade) was added into the vials. These were shaken well and placed in 20 °C water bath for 20 minutes. Carbohydrates were measured with a Shimadzu UV-240 spectrophotometer at 490 nm and quantified against calibration curve with glucose (Sigma-Aldrich, 0.05; 0.1; 0.2; 0.5; 0.7; 1 μg μL−1). Additionally, we measured contribution (area %) of different types of monosaccharaides based on Laboratory Analytical Procedure (LAP) for determination of carbohydrates in algal biomass (N-REL 2013). For the determination of monosaccharides we used HPLC (Shimadzu) and RID detector (RID-20, Shimadzu) using Phenomenex Relex RHM-Monosaccharide H+ (8%) column (size 300 mm × 7.8 mm). Deionized water was used as an eluent with a flow rate of 0.6 mL min−1, the running temperature was constantly at +85 °C and the running time was 30 min per sample. The instrument was calibrated using five standards mixed of l-rhamnose, ribose, fructose, mannose, xylose, glucose, galactose and arabinose (Sigma-Aldrich) diluted to deionized water (containing each of 0.0313, 0.125, 0.25, 0.5, 0.75 and 1 g/l). The column could not separate xylose, rhamnose, galactose and mannose from each other, but they eluted at the same time.

Protein content

Protein content was calculated by conversion elemental nitrogen to protein from equation (N-REL):

graphic file with name srep30897-m1.jpg

where %N is elemental nitrogen content determined by combustion (Carlo-Erba Flash 1112 series Element Analyzer) and Nfactor is the specific conversion factor (nitrogen content of proteins) for phytoplankton, terrestrial matter and zooplankton. Here, we used 4.78 for phytoplankton and t-POM74 and 6.3 for zooplankton75.

Stable isotope analyses

Approximately 0.2–0.6 mg of zooplankton and ≈1.0 mg of phytoplankton and t-POM were weighed in tin cups for δ13C and δ15N analyses, which were carried out on a Carlo-Erba Flash 1112 series Element Analyzer connected to a Thermo Finnigan Delta Plus Advantage IRMS at the University of Jyväskylä, Finland. These samples were compared to the NBS-22 standard using fish muscle as a laboratory-working standard. The precision of the δ13C and the δ15N analyses were 0.2‰ and 0.3‰, respectively, for all samples.

Carbon content of biomolecules

The final results of lipids, proteins, carbohydrates and fatty acids were converted to percent (%) of total organic carbon (TOC) to be able to calculate the contribution of different biochemical groups based on carbon isotope results. This means that stable isotope carbon signal contains only carbon of lipids, proteins, carbohydrates and fatty acids. Therefore, we converted concentrations of the biomolecules to carbon content. The most common biochemical compounds were used to calculate the carbon content of each biochemical group. Lignin carbon content of trees is usually 60–65%, and here we used the average value of 63.9% 76. For carbohydrates, we used the carbon content of glucose which is 40%. Carbon content of fatty acids with 14–22 carbon chain length varies between 75–80%, the proportion being the highest in highly polyunsaturated fatty acids (e.g. DHA). Carbon content of lipids (e.g. triaglycerol, phosphatidylcholine, phosphatidylethanolamine) varies between 69–77%, and we used the average value of 63% for the above mentioned lipids when fatty acid chain length was estimated to be 16.We used 46% as carbon percentage for both proteins and amino acids in this study75.

Fatty acid calculations of batch experiment

We calculated the proportions (mean ± SD) of different FA sources in Daphnia in the mixed diet treatments originating from terrestrial particulate organic carbon (t-POC), bacteria and phytoplankton by comparing the actual Daphnia FA profiles to hypothetical Daphnia FA profiles12. A hypothetical FA profile for a mixed diet was calculated = X × (the percentage of total FAs for a particular FA in the 100% Cryptomonas diet) + (1 − X) × (the percentage of FAs for a particular FA in the 100% bacterial or t-POC diet). We then compared this hypothetical FA profile to the Daphnia FA profile for the t-POC or algal diet and used the Solver function in Microsoft Excel to find the value of X that minimized the Error Sum of Squares between these two profiles. We also used Excel Solver to find the value of X that maximized the fit (r2) between the predicted and observed FA profiles.

Isotope modeling for experiments

The contribution of ingested phytoplankton and t-POM in Daphnia was calculated using δ13C values of the diet in both life table and batch experiments. Mean (±SD) carbon assimilation based on δ13C values, was calculated with IsoError software (version 1.04; ref. 77). In all cases we had only two diet sources and, thus, the uncertainty caused by variability of both sources was taken into account.

Statistical analyses

The differences in the biochemical composition of diet sources or Daphnia fed with different diets (Cryptophytes, Green algae, Reed, Birch) were tested using 1-way ANOVA, or if normality assumptions were not met, using Kruskal-Wallis test. Pairwise comparisons were conducted with least significant difference test. The relationships between proportions of carbohydrates, fatty acids or proteins in Daphnia and the degree of allocthtony were examined using linear (x + b) or nonlinear (y = ae−xb) regression models. Similarly, the relationships between the proportion of terrestrial carbon (t-POC) in the diet and the proportion of assimilated terrestrial-origin carbon by Daphnia (estimated with stable carbon isotope or fatty acid analyses) were examined using linear or nonlinear (y = axb) regression models.

Growth response and dietary thresholds of Daphnia in the experiments were estimated with nonlinear regression analysis. The model was modified from von Bertalanffy growth equation78, describing somatic growth rates (Wg mg DW d−1) in relation to the proportion of autochthonous carbon in the diet:

graphic file with name srep30897-m2.jpg

where Wmax represents the maximum growth rate, K = von Bertalanffy growth coefficient and Auto% the proportion of autochthonous carbon in the diet. Because the Wmax cannot be used for estimating growth saturation, we used 90% growth rate estimates79.

Cladoceran sample collections

Herbivorous cladoceran (mostly Daphnia) samples were collected from lakes in southern and eastern Finland and subarctic Finnish Lapland between May and September during several years (Table 2). The lakes were classified as brown-water, clear-water, subarctic and eutrophic lakes based on dissolved organic carbon (DOC), total phosphorus (TP) concentration and geographical location; brown-water lakes: DOC > 10 mg C L−1, TP < 35 μg P L−1, 61–62°N; clear-water lakes DOC < 10 mg DOC L−1, TP < 35 μg P L−1, 62°N; subarctic lakes DOC < 10 mg DOC L−1, TP < 20 μg P L−1, 68–69°N and eutrophic lakes DOC < 10 mg DOC L−1, TP > 35 μg P L−1, 60–61°N. Zooplankton samples were collected with vertical or horizontal tows of zooplankton net with mesh size of 25 μm. Total phosphorus (TP), total nitrogen (TN), chlorophyll a and dissolved organic carbon (DOC) concentration was analyzed using validated routine methods of the Finnish Standard Association ( htpp://www.sfs.fi/en/). The pigments were extracted in ethanol80 and measured with a Shimadzu UV-240 spectrophotometer at 665 nm and 750 nm for chlorophyll a.

Fatty acid based modeling of field collected cladocerans

To generate estimates of dietary resource assimilation by zooplankton of different basal resources, we used the Bayesian mixing model FASTAR43,81, which is adapted for analysis of fatty acids from the isotope mixing models MixSIR82 and SIAR83. The model uses a ‘resource library’ file consisting of means ± sd fatty acids of Daphnia fed a diversity of known basal monocultures in controlled laboratory feeding trials43,79. Each distinct end member (points in Fig. 5A) is a unique mean fatty acid profile of Daphnia in a fully replicated feeding trial fed one algal taxon from the nine potential basal resource groups considered here. The available phytoplankton, DOC content, and bacteria observed in these lakes was initially used to determine which end members would need to be experimentally fed to Daphnia in the feeding trials to establish the resource library (e.g. 43, ref. 84). The mixing model aggregates the unique species fatty acid profiles to a single ‘group-level’ source (e.g., cryptophytes) as the mean of the fatty acid profiles for Daphnia fed the different cryptophyte taxa. Of the bacterial groups we included Actinobacteria, which generally represent ~30% of heterotrophic bacteria in boreal lakes85,86, and methane-oxidizing bacteria (MOB), important in small stratified lakes, in the model. The third abundant bacterial group in boreal lakes, Polynucleobacter, was not included in the model because in previous laboratory experiments these bacteria proved to be toxic to Daphnia37.

Uncertainty in the model sources at the group level is accounted for by using the calculated standard deviations of fatty acid values across diets within a given phytoplankton group81. Our analysis makes the general assumption that, at this group scale, we are accounting for all of the important potential prey items for Daphnia in the lakes studied. This is a reasonable assumption because the available phytoplankton, DOC and bacteria have been identified for these lakes, and most importantly, potentially missing individual basal resource groups are expected to group largely according to taxonomy6,87,88. This means that even if a particular individual taxon was not included in the model, the group is adequately characterized with multiple end members that are representative of the group mean ± sd fatty acid values. Moreover, it is evident that the sampled wild zooplankton from all lakes fall inside of the multivariate resource-polygons of the resource library of the fatty acid profiles of Daphnia fed end members in controlled feeding trial (Fig. 5A).

As the resource library natively accounts for trophic modification of fatty acids by the consumer, the model does not assume universal or non-species specific trophic fractionation constants43,58. This means that, in practice, the resource library is the fatty acid profiles of Daphnia fed the known diets (Fig. 5A) rather than just the values the raw phytoplankton FA profiles43,81. For this analysis, FASTAR differed from Galloway et al.43 in that SIAR was used as the underlying model, and the model was run with an expanded nine-source resource library, using all 24 fatty acids to solve likely dietary contribution of these resources to Cladocerans in all 21 study lakes. The posterior distributions (Fig. 6) were estimated using the Gibbs sampling algorithm of Markov Chain Monte Carlo (MCMC) in R ref. 89 implemented as described in Galloway et al.43. The model was run for each individual lake, and in addition to showing the full posterior distributions (Fig. 6) we report the median model solution for each lake, with summaries by lake type computed from the individual lake medians. Resource group median FASTAR model results were summed for the post-hoc summary comparisons of high, medium, and low quality resources by lake type.

The comparisons of zooplankton resource assimilation of the different food quality resources (high: cryptophytes, diatoms, dinoflagellates; medium: green algae and golden algae; and low: t-POM, Actinobacteria, MOB) were made using one-way ANOVA followed by Hochberg’s GT2 posthoc tests (due to unequal sample sizes between treatments) using SPSS v. 19. Principal components analysis89 was used to visualize the multivariate fatty acid resource-library of experimentally fed Daphnia fed known basal end-members and the wild cladocerans collected in the study lakes.

Additional Information

How to cite this article: Taipale, S. J. et al. Terrestrial carbohydrates support freshwater zooplankton during phytoplankton deficiency. Sci. Rep. 6, 30897; doi: 10.1038/srep30897 (2016).

Acknowledgments

This research was supported by Academy of Finland research grant 251665 awarded to S.J.T., 263350 to P.K. and 1140903 to K.K.K.

Footnotes

Author Contributions S.J.T., P.K., U.S. and K.K.K. designed field sampling of zooplankton. S.J.T. designed and carried out laboratory experiments and analyzed biochemical composition of Daphnia and their diets. S.J.T. and U.S. collected zooplankton from the lakes and analyzed their fatty acid composition. A.W.E.G., S.L.A. and S.J.T. performed statistical tests for the laboratory experiments and prepared the figures. A.W.E.G performed mixing model analyses for fatty acid data of field zooplankton. S.J.T. and P.K. initially wrote the manuscript. All authors discussed the results and contributed to writing the manuscript.

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