## Introduction

Aquaculture, the world’s most efficient producer of edible protein, continues to grow faster than any other major food sector in the world, in response to the rapidly increasing global demand for fish and seafood1,2. Feed inputs for aquaculture production represent 40–75% of aquaculture production costs and are a key market driver for aquaculture production1. The aquafeed market is expected to grow 8–10% per annum and is production of compound feeds is projected to reach 73.15 million tonne (mt) in 20252,3,4,5,6,7,8,9.

Ocean-derived fishmeal (FM) and fish oil (FO) in aquafeeds has raised sustainability concerns as the supply of wild marine forage fish will not meet growing demand and will constrain aquaculture growth1,2,10,11. Moreover, competition for FM and FO from pharmaceuticals, nutraceuticals, and feeds for other animals6,12 further exacerbates a supply–demand squeeze2,13. The use of forage fish (such as herrings, sardines, and anchovies) for FMFO production also affects human food security because approximately 16.9 million of the 29 mt of forage fish that is caught globally for aquaculture feed is directed away from human consumption every year14. More than 90 percent of these fish are considered food grade and could be directly consumed by humans, especially food insecure people in developing countries15.

Although more prevalent in aquafeeds for high-trophic finfish and crustaceans, FM and FO is also routinely incorporated (inclusion rates of 3–10%) in aquafeeds for low-trophic finfish like tilapia to enhance growth1,6,16,17,18. Tilapia (dominated by Oreochromis niloticus)—the world’s second top group of aquaculture organisms—is cultured in such large volumes and is such an integral part of human diets across the world, that even low inclusion rates of FMFO in aquafeeds for this species is a substantial portion of global demand of forage fish (Supplementary Table S1)19.

The aquafeed industry reduces reliance on FM and FO by using grain and oilseed crops (e.g., soy, corn, canola), however, terrestrial plant ingredients have low digestibility, anti-nutritional factors, and deficiencies in essential amino acids (lysine, methionine, threonine, and tryptophan)16,20. Crop oils also lack long-chain omega-3s (n-3s), eicosapentaenoic acid (EPA) and docosahexaenoic acid (DHA), important for human health21,22. Elevated levels of n-6 (e.g. linoleic acid) fatty acids from crop oils23,24 changes the long-chain n-3/n-6 ratio in tilapia flesh25 that is passed on to human consumers26,27,28, resulting in increased production of pro-inflammatory eicosanoids (via arachidonic acid), which has led nutritionists to doubt the health benefits of farmed tilapia21,25.

Alternatives to terrestrial crops have been too costly for broad adoption by aquafeed manufacturers (Sarker et al.15). However, nutritional disadvantages and poor fillet quality have prompted researchers to investigate marine microalgae as potential FMFO replacements in fish feeds due to balanced essential amino acids, minerals, vitamins, and long-chain n-3 fatty acids17,29,30,31,32,33,34,35,36,37,38. The peer-reviewed literature, however, lacks information on how using marine microalgae in fish-free diets affects growth, feed conversion and fillet quality of tilapia. There also are limited published data on the market price of fish-free diets made with alternative ingredients that show potential for economies of scale.

We conducted research to develop a new aquafeed formula by combining the protein-rich (50%) defatted marine microalgal co-products (under-utilized left-over biomass of Nannochloropsis oculata after EPA oil extraction for human supplement) with another DHA-rich (30% of total fatty acids) marine microalga (Schizochytrium sp.), increasingly available at commercial scale, to fully replace FMFO (fish-free) in tilapia aquafeeds. This study builds on our recent microalgae aquafeeds research. Sarker et al. replaced 33% of FM with under-utilized N. oculata defatted biomass in a tilapia diet that achieved final weight, weight gain, percent weight gain, specific growth rate, and protein efficiency ratio values comparable to the reference diet containing FM and FO17. Furthermore, it was previously reported that Schizochytrium sp. is a highly digestible source of nutrients for tilapia and can fully replace FO in tilapia feed30,33.

To examine the commercial viability of using marine microalgae to replace both FM and FO, we conducted a nutritional feeding experiment to compare three microalgal diets to a reference diet containing FM and FO levels found in commercial tilapia feed. Microalgal diets included defatted N. oculata to replace 33%, 66% or 100% of FM, and whole cell Schizochytrium sp. to replace 100% of FO (33NS, 66NS, 100NS). We measured effects of the four diets on growth metrics, in vitro protein digestibility, feed conversion ratio (FCR), protein efficiency ratio (PER), and fillet deposition of n-3 long-chain polyunsaturated fatty acids (LC PUFAs) and minerals. Furthermore, we conducted a hedonic analysis to estimate the market price of defatted N. oculata meal and whole cell Schizochytrium sp., feed costs, and the economic feed conversion ratio (ECR).

## Materials and methods

The experimental design and fish use protocol were approved by the Institutional Animal Care and Use Committee (IACUC) of Dartmouth College. Also, we conducted all experiments in accordance with relevant guidelines and regulations. We euthanized the fish by single cranial pithing in the nutritional feeding experiment.

### Diet formulation for nutritional feeding experiment

We incorporated N. oculata defatted biomass to replace different percentages of FM and whole cell Schizochytrium sp. to replace all FO in three tilapia experimental diets for a nutritional feeding trial. These three diet formulations were based on our previous digestibility data for N. oculata defatted biomass and whole cell Schizochytrium sp.17,30,33, and a prior study showing potential to replace all FO with whole cell Schizyochytrium sp.30. We compared these three experimental diets to a reference diet (served as control diet) containing FMFO at levels found in commercial tilapia feed. All diets were iso-nitrogenous (37% crude protein) and iso-energetic (12 kJ/g). Microalgae inclusion diets used N. oculata defatted biomass to replace 33% (33NS), 66% (66NS), and 100% (100NS) of the FM and whole cell Schizochytrium sp. to replace all FO in the test diets (33NS, 66NS, 100NS). Thus N. oculata comprised 3%, 5% and 8% of the diet by weight, respectively, and Schizochytrium sp. made up 3.2% of the diet by weight. We produced the diets in accordance with our previous work17,30,36. We obtained dried Schizochytrium sp. from ALGAMAC, Aquafauna Bio-marine, Inc., Hawthorne, CA, USA; and menhaden FO from Double Liquid Feed Service, Inc., Danville, IL, USA. Qualitas Health Inc., which markets EPA-rich oil extracted from N. oculata as a human supplement39 and seeks uses for tons of under-utilized defatted biomass from its large-scale production facilities, donated the N. oculata defatted biomass. Supplementary Table S8 reports proximate compositions and amino acid profiles of N. oculata defatted biomass and Schizochytrium sp.; total fatty acid profile by percentage of the defatted biomass and Schizochytrium sp ingredients reported in Supplementary Table S9; and macromineral and trace element composition of both ingredients reported in Supplementary Table S10. The formula, proximate analysis, and amino acid profiles of four dietary treatments reported in Table 1. The fatty acid profiles reported in Supplementary Table S11 and the macrominerals and trace elements of the four experimental diets reported in Supplementary Table S7.

### Experimental design and sampling to evaluate tilapia growth on N. oculata defatted biomass and Schizochytrium sp. Diets

We conducted the feeding experiment using a completely randomized design of four diets × three replicates tanks in recirculating aquaculture systems (RAS). Four hundred eighty Nile tilapia (mean initial weight 34.5 ± 2.06 g) were put into randomized groups of 40, bulk weighed, and transferred to a tank. Tilapia had been acclimated to the FMFO containing reference diet for 7 days prior to distribution. The initial stocking density remained within levels recommended to avoid physiological stress on tilapia (< 0.25 lbs/gal in 80 gallon RAS tanks). We carefully monitored water quality daily to maintain favorable conditions for tilapia across all RAS tanks and kept the water temperature at 28.7 ± 0.25 °C, pH at 7.1 ± 0.1, dissolved oxygen at 6.1 ± 0.15 mg/L, total ammonia nitrogen at 0.26 ± 0.1 mg/L, and nitrite nitrogen at 0.3 ± 0.01 mg/L17,30.

We administered feed at a rate of 8% of body weight until day 60, 6% until day 121, and 4% until day 183, with feedings performed twice per day at 09:00 and 15:30 h. We measured fish biomass monthly by randomly selecting 10 fish as a weight sample to adjust feeding rates for growth and we bulk weighed all fish every other month for sampling events (day 0, 60, 121, and 185). We withheld feed for 24 h prior to the weighing procedure to reduce handling stress on fish.

### Biological sampling and tissue collection

We randomly selected and weighed 10 individual fish from the total starting stock at the beginning of the experiment, then euthanized (by single cranial pithing17, and stored fish tissues at – 20 °C for future biochemical analysis. At day 121 of the experiment, we euthanized 6 fish per tank, and 6 additional fish at day 185, the terminus of the trial. Half of the fish sampled on day 121 and day 185 were filleted, and half were kept whole and then stored at − 20 °C for further processing17,30. All samples from the initial sampling, day 121, and day 185 were freeze dried at − 20 °C, then fully homogenized. Both whole body and fillet samples were sent to New Jersey Feed Laboratory, Inc (Ewing, NJ, USA) for full proximate, energy, amino acid, and fatty acid profiles.

### Analytical procedure and calculation

We quantified final weight, weight gain, weight gain percentage, FCR, SGR, PER, and survival rate for each of the dietary treatments. Each of these parameters were calculated as follows: weight gain = (final weight − initial weight/initial weight) × 100; FCR, FCR = feed intake/weight gain; protein efficiency ratio; SGR (%/day) = 100 × ln final wet weight (g) − ln initial wet weight (g))/Time (days), PER = weight gain (g)/protein fed (g); and survival rate (%) = (final number of fish/initial number of fish) × 10017,34,40.

The trace mineral content of each of the experimental diets, sampled fish fillets, and whole bodies was analyzed by the Department of Earth Science at Dartmouth College17. Each 100 mg sample was acid digested in 0.5 mL 9:1 HNO3/HCl in open vessel digestion with heating at 105 °C for 1 h. Samples were diluted to 10 mL in DI water prior to analysis. All measurements were recorded gravimetrically. Digested samples were run by ICP-MS analysis using an Agilent 7700 × with collision (He) and reaction (H2) gases. The methodology and quality control followed EPA method 6020a.

### Degree of protein hydrolysis and in-vitro protein digestibility

We performed an in-vitro digestibility assessment according to the method prescribed in Yasumaru and Lemos to measure the degree of protein hydrolysis of our experimental diets in the presence of tilapia stomach crude enzyme extract and intestine crude enzyme extract41. A 50 g sample from each of the four diets was ground via mortar and pestle until all materials could fit through a 0.5 mm food sieve. We allotted 80 mg by protein basis of each diet with 25 mL DI water in a 50 mL reaction vessel immersed in a water bath held at 25 °C. The reaction mixture, containing diet and DI water, was adjusted to pH 2.0 with 0.1 M HCl using a Hannah instrument HI-901C1 potentiometric auto titrator, set to dose 0.3 mL HCl every 2 min for 30 min until pH equilibrium was reached. After equilibrium, we introduced 200 µL stomach crude enzyme extract prepared according to Yasumaru and Lemos with storage solution modifications sourced from Chaijaroen and Thongruang41,42. After crude enzyme extract introduction, we made minor pH changes adding 0.1 M HCl or 0.01 M NaOH by hand when necessary. Once we introduced the crude enzyme extract, we initiated a predetermined program on the auto titrator to dose 0.025–0.075 mL in proportion to the change in pH measured. This program dosed accordingly every 3-min interval to keep the pH at 2.0 for 1 h. The program was paused, when necessary, to prevent over adjusting the solution during the titration. After the 1-h stomach digestion period, we recorded the total volume dosed. We then adjusted the reaction mixture pH to 8.0, using 0.1 M NaOH, and allowed the auto titrator to dose 0.025 mL 0.1 M NaOH for approximately 1 h to allow the mixture to reach equilibrium. Once pH equilibrium was reached, we introduced 250  µL intestinal crude enzyme extract, prepared in the same way as the stomach crude enzyme extract. Minor adjustments to pH were made by hand using 0.01 M NaOH or 0.1 M HCl. Then we initiated the auto titrator method to dose 0.01–0.025 mL 0.1 M NaOH proportional to the measured change in pH, in order to hold the pH at 8.0 for 1 h, and recorded the total volume dosed. All diets were run in triplicate41,43. We quantified the degree of protein hydrolysis in the stomach using the following equation:

$$DH = \left[ {\frac{V \times N}{E}} \right] \times \left( \frac{1}{P} \right) \times F_{pH} \times 100\% ,$$
(1)

where DH is the degree of hydrolysis, V is the volume of the acid consumed (mL), N is the normality of the acid (H+ available for release × Molarity), E is the mass of the substrate protein (g), P is the number of peptide bonds cleaved (mol g protein−1) and when amino acid composition is unknown, (8.0), and FpH is the correction factor for pH 2.0 at 25 °C (1.08).

We quantified the degree of protein hydrolysis in the intestine using the following equation:

$$DH = B \times Nb \times \left( \frac{1}{a} \right) \times \left( \frac{1}{MP} \right) \times \left( {\frac{1}{{H_{tot} }}} \right) \times 100\% ,$$
(2)

where B is the volume of alkali consumed (mL), Nb is the normality of the alkali (alkali groups × Molarity), a is the average degree of dissociation of the a-NH2 groups (1/a = 1.50 for pH 8.0 at 25 °C), MP is the mass of substrate protein (g), and Htot is the total number of peptide bonds in the protein substrate [7.6–9.2 meqv g protein−1] according to the source of protein44.

After calculating the degree of protein hydrolysis, we determined the in vitro protein digestibility using a prediction equation model as reported by Yasumaru and Lemos and Tibbets41,43. The degree of protein hydrolysis was used as input in the following equation to determine in vitro protein digestibility, IPD = (3.5093DH + 70.248).

### Economic analysis of fish-free feed formulated with microalgae blends

We obtained commodity and market prices for the formulated feed ingredients from a variety of sources (Supplementary Tables S5 and S12). We conducted non-parametric bootstraps in RSTUDIO (v.1.2.5033) based on 10,000 replicates using the adjusted bootstrap percentile method to estimate the median and 95% confidence intervals.

We conducted a hedonic analysis in RSTUDIO to estimate the price of defatted N. oculata meal and whole cell Schizochytrium sp. The general methodology of hedonic analysis is described in Maisashvili et al.45. We used mixed-effects linear models using maximum likelihood methods46,47.

Following Maisashvili et al., we selected crude protein, ether extract, methionine, and lysine as the key input variables in our defatted N. oculata meal model45. We used the following regression formula:

$${\varvec{y}}_{t} = \beta_{0} + b_{{0,CP_{t} }} + b_{{0,EE_{t} }} + \beta_{1} \cdot {\varvec{CP}}^{2} + \beta_{2} \cdot {\varvec{Met}}^{2} + \beta_{3} \cdot {\varvec{Lys}}^{2} + b_{{1_{t} }} \cdot {\varvec{CP}} + \left( {\beta_{4} + b_{{2_{t} }} } \right) \cdot {\varvec{EE}} + \varepsilon ,$$
(3)

where yt is the vector of feed ingredient prices observed at time t, CP is a vector of independent variables reflecting the crude protein content of the corresponding feed ingredients, Met is a vector of independent variables reflecting the methionine content of the corresponding feed ingredients, Lys is a vector of independent variables reflecting the lysine content of the corresponding feed ingredients, EE is a vector of independent variables reflecting the ether extract content of the corresponding feed ingredients, β0 is the fixed-effect intercept, β1 is the fixed-effect coefficient of CP2, β2 is the fixed-effect coefficient of Met2, β3 is the fixed-effect coefficient of Lys2, β4 is the fixed-effect coefficient of EE, b0,CP is the random-effect intercept of CP at time t, b0,EE is the random-effect intercept of EE at time t, b1 is the random-effect coefficient of CP at time t, b2 is the random-effect coefficient of EE at time t, ε is the residual error, and t is the time period (2010–2019).

We selected the top fatty acids present in both the commodity oils (vegetable and fish) and in Schizochytrium sp. that did not require an extrapolation. Thus, we used the following regression formula:

$${\varvec{y}}_{t} = \beta_{0} + b_{{0,14:0_{t} }} + b_{{0,16:0_{t} }} + \beta_{1} \cdot {\user2{20:5}}{\mathbf{n}}{ - }{\user2{3}}^{2} + \beta_{2} \cdot {\user2{14:0}}^{2} + \beta_{3} \cdot {\user2{16:1}}{\varvec{n}}{ - }{\user2{7}}^{2} + \left( {\beta_{4} + b_{{1_{t} }} } \right) \cdot {\user2{14:0}} + \left( {\beta_{5} + b_{{2_{t} }} } \right) \cdot {\user2{16:0}} + \varepsilon ,$$
(4)

where yt is the vector of oil ingredient prices observed at time t, 20:5n-3 is a vector of independent variables reflecting the EPA content of the corresponding oil ingredients, 14:0 is a vector of independent variables reflecting the myristic acid content of the corresponding oil ingredients, 16:1n-7 is a vector of independent variables reflecting the palmitoleic acid content of the corresponding oil ingredients, 16:0 is a vector of independent variables reflecting the palmitic acid content of the corresponding oil ingredients, β0 is the fixed-effect intercept, β1 is the fixed-effect coefficient of 20:5n-32, β2 is the fixed-effect coefficient of 14:02, β3 is the fixed-effect coefficient of 16:1n-72, β4 is the fixed-effect coefficient of 14:0, β5 is the fixed-effect coefficient of 16:0, b0,14:0 is the random-effect intercept of 14:0 at time t, b0,16:0 is the random-effect intercept of 16:0 at time t, b1 is the random-effect coefficient of 14:0 at time t, b2 is the random-effect coefficient of 16:0 at time t, ε is the residual error, and t is the time period (2010–2019).

As inputs to Eqs. (3) and (4), we used the mean annual prices for 12 meal ingredients and 7 oil ingredients from January 2010 to December 2019 (see Supplementary Table S12 for details about the commodities and data sources). Although some studies have used shorter time horizons for their hedonic models (e.g. 2 years)48, we followed other studies that used longer time horizons (e.g. 10 years) in their hedonic models49 and economic analysis of agricultural commodities to capture variability50. We incorporated a freight component to calculate the costs to bring these commodities to the Port of Shanghai, China. To account for the multi-modal components of the freight costs of U.S. commodities, we applied modal transport shares (e.g. rail, truck, barge) of grain commodities (e.g. corn, wheat, soybeans, sorghum, and barley) to the distances between the grain production sites and U.S. ports (see Supplementary Table S13 and Supplementary Methods for further details). We used a shipping route distance calculator to estimate the international shipping distances (Supplementary Table S14). We obtained the nutritional composition of the feed commodities from Archer Daniel Midlands and Feedinamics (Supplementary Table S15). We obtained the fatty acid profiles of the oils used in the feed from the literature (Supplementary Table S16). For the terrestrial-plant-based oils, we used the fatty acid values reported in Dubois et al.51. For FO, we used the fatty acid values reported in Sarker et al.30. We scaled the vectors of independent variables (Supplementary Tables S15 and S16) with the parameters provided in Supplementary Tables S17 and S18, for defatted N. oculata and whole cell Schizochytrium sp., respectively. We assessed the goodness of fit using graphical methods and diagnostic tests (see Supplementary Methods, Supplementary Tables S19 and S20, and Supplementary Figs. S2S7 for further details).

We estimated the price of defatted N. oculata meal with Eq. (3), the scaled parameters (Supplementary Table S21), the fixed-effect coefficients (Supplementary Table S22), and the random-effect coefficients (Supplementary Table S23). We estimated the price of whole cell Schizochytrium sp. with Eq. (4), the scaled parameters (Supplementary Table S24), the fixed-effect coefficients (Supplementary Table S25), and the random-effect coefficients (Supplementary Table S26). To convert the estimated price of Schizochytrium sp. oil to whole cell Schizochytrium sp., we multiplied the price by the fraction of lipids in Schizochytrium (0.54).

## Discussion

Our results demonstrate the feasibility of combining commercially available microalgal biomasses to formulate fish-free aquaculture feeds that are high-performing and show potential to become cost-competitive. This is the first report of successfully combining protein-rich-defatted biomass of one microalgal species with DHA-rich whole-cell biomass of another microalgal species to achieve full replacement of FM and FO ingredients in a tilapia feed formulation. This also is the first report of improved feed utilization metrics, including growth, weight gain, specific growth rate, and of beneficial DHA fatty acid profile in Nile tilapia fed a fish-free microalgal diet compared to a commercial feed formulation containing FM and FO. Production is increasing for both types of microalgal biomass used in the fish-free diet, indicating good potential to achieve economies of scale. Our estimate of the ECR for the fish-free diet supports the proposition that biomass from these microalgae will inevitably become cost competitive with FM and FO commodities.

### Nutritional benefit of combining N. oculata defatted biomass and Schizochytrium in the fish-free diet

The combination of Schizochytrium sp. and defatted biomass of N. oculata in the fish-free feed exhibited two major benefits. First, fish fed the fish-free feed had improved growth consistent with our prior observations that Schizochytrium sp. is a highly digestible ingredient for tilapia33 and that elevated levels of Schizochytirum sp. led to improved growth, FCR, and PER30. Second, we found the highest in-vitro protein digestibility in the fish-free feed, suggesting that protein originating from defatted N. oculata biomass was the most digestible when in the presence of highly digestible Schizochytrium sp., presumably due to the latter triggering certain digestive enzymes, release and activity. Thus, the combination of defatted N. oculata biomass and Schizochytrium sp. appears to be better suited to the digestive enzymes present in tilapia digestive systems than conventional diets with FMFO; and the presence of Schizochytrium sp. may support more efficient digestion of the fish free-feed at the higher inclusion levels of N. oculata defatted biomass. However, further research is necessary to elucidate the digestive enzyme profiles present under different dietary regimes and to assess the differences in the digestibility of microalgal fish-free feeds compared to conventional feed with FMFO.

Other studies also point to benefits of including Schizochytrium in aquafeeds. Our prior study reported better digestibility, improved growth, fillet protein, and lipid content by Nile tilapia fed diets with inclusion of Schizochytrium in fish-free feed. Similar results were reported in a study that found dietary inclusion of Schizochytrium sp. stimulated muscle or tissue development of Atlantic salmon53. Our observations of beneficial effects of including Schizochytrium in fish-free feed on the growth of tilapia is also consistent with findings in shrimp and barramundi, which demonstrated an algal derived DHA stimulated growth performance54,55. Moreover, high levels of a micronutrient, such as the carotenoid, astaxanthin, and bioactive compounds, in DHA-rich Schizochytrium could contribute to the growth of fish30,55.

Significantly lower weight gain of tilapia fed the reference feed compared to fish-free feed also seems consistent with the fact the FM and FO in reference diet had limited dietary 22:6n-3 DHA. This would cause increased energy expenditure for de novo DHA biosynthesis, given that DHA biosynthesis is a rather expensive metabolic exercise. Such diversion of energy to DHA biosynthesis would reduce the growth performance of tilapia.

The human health benefit of using highly digestible 22:6n-3 DHA-rich Schizochytrium is reflected in this study, given that tilapia fed the fish-free feed yielded the highest amount of 22:6n-3 DHA in fillet—almost twice that of conventional feed (Supplementary Table S6). Results are consistent with our previous findings where increasing levels of Schizochytrium sp. corresponded to reduced levels of FO in tilapia feed and resulted in significant increases in fillet 22:6n-3 DHA deposition compared to a reference diet containing FMFO30.

Nile tilapia is not an oily fish like salmon, but nevertheless deserves efforts to improve nutritional value of farmed fish because it is produced in huge tonnages and is an important component of human diets in many parts of the world, especially Asia and Africa. Thus, improvement of tilapia nutritional value through increased levels of DHA could benefit a very large number of people, many of whom have low levels of n-3 LC-PUFA in their diets23. Our results support the relative ease of enhancing the n-3 LC PUFA composition of tilapia fillets, while also achieving a fish-free diet, by combining Schizochytrium sp. and N. oculata defatted biomass. Tilapia with elevated DHA levels after eating fish-free feed will have tremendous market potential56. Feed manufacturers can exploit this feature to market aquafeeds to aquaculturists aiming to cater to health-conscious consumers who are willing to pay a premium for DHA-enhanced tilapia fillets. Tilapia fed reference feed exhibited significantly increased amounts of 20:5n-3 EPA compared to microalgae-inclusion diets due to a higher concentration of 20:5n-3 EPA in the reference diet. Our results on fillet deposition of ALA, EPA and DHA can be explained by prior research and the relative abundance of these fatty acids in Schizochytrium sp.

### Impacts of fish-free diet on macrominerals and trace elements

The literature has little data on the elemental composition of microalgae; and we found that most of the essential macrominerals and trace elements were at higher levels in N. oculata defatted biomass and Scizochytrium sp whole cells (Table 3) than in conventional terrestrial feed ingredients57. We found higher levels for most macrominerals in the Scizochytrium sp whole cells than N. oculata defatted biomass, and higher levels of trace elements in the N. oculata defatted biomass than in Scizochytrium sp whole cells (Table 3). Depositions of macrominerals and several trace elements in tilapia fillet were not significantly different among all dietary treatments (Table 3). We found non-detectable levels of boron, mercury, and lead in tilapia fillets across all diets. Moreover, most of the trace element concentration in fillet was lower than the concentration of all experimental diets. We previously suggested that these trace elements may be excreted and less absorbed by Nile tilapia58,59. We detected the lowest level (0.03 mg kg−1) of total arsenic in the fish-free microalgae feeds and the highest level (0.33 mg kg−1) in reference feed (Supplementary Table S7). However, the level of total arsenic in all the diets (0.03–0.33 mg kg−1) including reference feed was below the European Union level of 10 mg kg−1 set for in aquaculture feed60. High levels of arsenic have been previously reported in FOs, thus contributing considerably to higher arsenic levels in commercial aquaculture feeds61,62,63. The level of total arsenic in the fillet of tilapia did not differ across the diets (Table 3), and the levels were in the range between 0.14-0.21 mg kg−1 lower than reported values in Atlantic salmon fillet (0.3–1.1 mg kg−1)64.

### Feed conversion ratio (FCR) considerations

FCR is a key driver of farming efficiency, economic and environmental performance. Improving the FCR of farmed tilapia through improved feed technology would help increase the cost effectiveness of fish-free diets. Tilapia farming can further reduce the FCR close to 1:1 by a variety of means including better feed formulations using highly digestible feed ingredients, use of appropriate pellet size for each life stage, and better on-farm feed management practices (e.g., storage and feeding rates). Extruded sinking pelleted feed could improve overall FCR; moreover, extrusion or enzymatic processing of under-utilized, defatted biomass of microalgae, such as N. oculata used in this study, could further improve the FCR of fish-free feed, and also help push feed formulated with microalgae towards being cost-competitive with conventional feed17,65.

### Economic analysis of fish-free feed formulated with microalgae blends

Our estimate of the market price of defatted N. oculata meal is in good agreement with another study that used hedonic methods to estimate the of market price of defatted N. oculata meal45. However, key differences between our study and the study conducted by Maisashvili et al. is that we used more recent commodity prices (January 2010 to December 2019 instead of January 2005 to December 2012) and the list of commodities used in our analysis are more representative of tilapia feed ingredients instead of ingredients for carnivorous fish and shrimp feed. With respect to whole cell Schizochytrium sp., we are unaware of other studies using hedonic methods to estimate the implied market price of this ingredient. Nevertheless, our implied price results for whole cell Schizochytrium sp. are in general agreement with studies that have used alternative methods66,67.

The similar estimated costs of the fish-free feed (100NS) and reference diet suggest that using combinations of microalgal biomass, that are on track to achieve economies of scale, is a feasible strategy for achieving large-scale production of cost-competitive fish-free diets. An emerging path to economies of scale for the two microalgae used in this study is a biorefinery business model whereby oil rich fractions of the microalgal biomass are marketed as high-value products, such as omega-3 rich human supplements, and other fractions as lower-priced feed ingredients68,69. N. oculata contains an appreciable amount of the omega-3 fatty acid, EPA70. The projected global growth of over 14% in omega-3 fatty acids from microalgae in the near future will result in a large supply of defatted biomass67. Furthermore, the production of Schizochytrium sp., already at commercial-scale, is also anticipated to grow, as the projected compound annual growth rate of DHA from microalgae sources is expected to exceed 10% in the near future67.

In order for such high-performing fish-free feed for tilapia to succeed in the market, we acknowledge that Schizochytrium sp. needs to become cost-competitive with FO sources for aquaculture feeds. Analysts predict ongoing technological improvements and R&D efforts to produce Schizochytrium sp. will quickly make it a cost competitive substitute for FO due to lower production costs and higher market availability71,72. FO substitutes with Schizochytrium sp have emerged within the last year with new products from many agribusiness giants and animal nutrition companies (Corbion, BioMar, Archer Daniels Midland and Veramaris), presumably due to favorable economics and high production volumes. A commercial producer of Schizochytrium oil, Veramis, recently joined a global challenge to sell the most “fish-free” oil for aquafeed to reduce demand pressures on wild-caught stocks, the fish-free feed (F3) FO Challenge73. Alternative feed ingredients like natural marine algal oil have also recently been approved for use in the supply chain by the UK retailer, Tesco74. Given the proliferation of alternative feed ingredients by global industry leaders and stakeholders (aquafeed company, innovators, aquafarmers, investors, and aquaculture supply chain), market opportunities appear to be growing and evolving for using microalgal protein and oil for fish-free feed75,76.

## Conclusion

Our results provide a framework for the development of fish-free feeds and the first evidence of a high performing feed for tilapia that combines two different marine microalgae. Defatted marine microalgae, a protein-rich biomass left over after extracting oil for other products, is currently under-utilized (often creating disposal problems even though it is food-grade), and is increasingly available as the algal-oil nutraceutical market grows. Advancing the use of microalgal defatted biomass in aquafeeds would improve the sustainability of aquaculture by reducing its reliance on FM extracted from forage fisheries. Combining under-utilized defatted biomass protein with DHA-rich marine microalga in the fish-free feed resulted in better tilapia growth compared with fish fed a conventional diet containing FMFO. Furthermore, tilapia fed the fish-free feed yielded the highest amount of DHA in the fillet, almost twice higher than in those fed conventional feed. Thus, feeding a DHA-rich, microalgae blended diet to farmed tilapia is a practical way to improve human health benefits of eating farmed tilapia. Moreover, these results suggest other kinds of microalgae combinations are possible and worthy of future investigation. Our fish-free formulation also shows potential cost-competitiveness, given that the ECR of the fish-free diet was slightly lower, though not significantly different, than the reference diet. The microalgal ingredients in our fish-free feed, thus, show potential to supply the expanding aquaculture industry with a stable and affordable supply of healthy protein and oil for fish-free feed, doing so without causing harm to oceans or food security of resource-poor people.