Effects of fish meal replacement with Chlorella meal on growth performance, pigmentation, and liver health of largemouth bass (Micropterus salmoides)

Longwei Xi; Qisheng Lu; Yulong Liu; Jingzhi Su; Wen Chen; Yulong Gong; Dong Han; Yunxia Yang; Zhimin Zhang; Junyan Jin; Haokun Liu; Xiaoming Zhu; Shouqi Xie

doi:10.1016/j.aninu.2022.03.003

. 2022 Apr 4;10:26–40. doi: 10.1016/j.aninu.2022.03.003

Effects of fish meal replacement with Chlorella meal on growth performance, pigmentation, and liver health of largemouth bass (Micropterus salmoides)

Longwei Xi ^a,^b, Qisheng Lu ^a,^b, Yulong Liu ^a,^b, Jingzhi Su ^a,^b, Wen Chen ^a,^b, Yulong Gong ^a, Dong Han ^a,^b,^c,^∗, Yunxia Yang ^a, Zhimin Zhang ^a, Junyan Jin ^a, Haokun Liu ^a, Xiaoming Zhu ^a, Shouqi Xie ^a,^b,^d

PMCID: PMC9114512 PMID: 35601256

Abstract

Chlorella meal is a potential protein source for aquafeeds. However, the physiological response of carnivorous fish fed Chlorella meal remains elusive. This study evaluated the effects of replacing dietary fish meal with Chlorella meal on growth performance, pigmentation, and liver health in largemouth bass. Five diets were formulated to replace dietary fish meal of 0% (C0, control), 25% (C25), 50% (C50), 75% (C75), and 100% (C100) with Chlorella meal, respectively. Total 300 fish (17.6 ± 0.03 g) were randomly assigned to 15 tanks (3 tanks/group). Fish were fed the experimental diet twice daily for 8 weeks. The increased dietary Chlorella meal quadratically influenced the final body weight (FBW), weight gain rate (WGR), specific growth rate (SGR), and feed intake (FI), which were significantly lower in the C100 group than in the other groups (P < 0.05). The feed conversion ratio (FCR) increased linearly or quadratically with dietary Chlorella meal. Dietary Chlorella meal linearly or quadratically increased the lutein content of plasma, liver, and dorsal muscle of largemouth bass (P < 0.05). Compared to the C0 group, all supplemented Chlorella meal groups significantly improved the yellowness (b∗) of the dorsal body (1.5 to 2.0 fold), abdominal body (1.5 to 1.8 fold), and dorsal muscle (3.8 to 5.4 fold) of largemouth bass (P < 0.05). In addition, compared to the C0 group, the liver vacuolation area of fish was significantly increased in the C75 and C100 groups (P < 0.05). Transcriptional levels of apoptosis-related genes of β-cell lymphoma-2 (bcl2), caspase-9-like (casp9), and caspase-3a (casp3) were markedly upregulated (0.9 to 1.6 fold) in the C100 group compared to the C0 group (P < 0.05). Based on the quadratic regression analysis between FBW, WGR, or SGR and dietary Chlorella meal level, largemouth bass had the best growth when replacing 31.7% to 32.6% of fish meal with 15.03% to 15.43% dietary Chlorella meal. The present results indicated that dietary supplementation with Chlorella meal (11.85% to 47.45%) significantly enhanced the pigmentation; however, total replacement of fish meal (40%) with Chlorella meal (47.45%) caused growth retardation, apoptosis, and liver damage in largemouth bass.

Keywords: Chlorella meal, Growth, Liver health, Micropterus salmoides, Pigmentation

1. Introduction

In aquafeeds, fish meal is an excellent protein source because of its relatively balanced nutrient composition, low levels of anti-nutritional factors, and good palatability (Zhou et al., 2005). However, the high price and limited resources of fish meal seriously restrict its use in aquafeeds (Li et al., 2021a). Therefore, the exploitation of new alternative protein sources for fish meal is pressing. At present, numerous protein sources have been studied to replace fish meal, including plant protein sources (Arriaga-Hernandez et al., 2021; Huang et al., 2017; Zhang et al., 2020a), animal protein sources (Cao et al., 2020; Jones et al., 2021; Psofakis et al., 2020; Stenberg et al., 2019; Terova et al., 2021), and single-cell protein sources (Hansen et al., 2019; Valente et al., 2019; Yang et al., 2021). However, many plant protein sources contain anti-nutritional factors (Francis et al., 2001; Jannathulla et al., 2019), imbalanced amino acid composition (Espe et al., 2006, 2007), and display poor palatability (Luo et al., 2010). Some animal protein sources also have an imbalanced amino acid composition (Bureau et al., 2000), poor digestibility (Luthada-Raswiswi et al., 2021), and high saturated fatty acid content (Liland et al., 2021). These disadvantages largely limit the use of them to replace fish meal in aquafeeds.

In recent years, microalgae have been recognized as a single-cell protein source in aquafeeds, which contain balanced amino acid composition, high polyunsaturated fatty acid, and display good palatability (Ahmad et al., 2020; Alagawany et al., 2021; Radhakrishnan et al., 2014; Liu et al., 2019). The utilization of microalgae has less adverse effects on the growth performance of some aquatic animals (Kousoulaki et al., 2016; Man et al., 2020; Safavi et al., 2019; Watanabe et al., 1990). Moreover, the utilization of microalgae in aquafeeds improved the body color of aquatic species (Guroy et al., 2012; Roohani et al., 2019; Ju et al., 2012; Pulcini et al., 2020), which may be attributed to the pigments present in microalgae, such as lutein (a carotenoid) (Liu et al., 2019). As natural pigment sources, microalgae are different from artificial pigments because they are non-toxic and have certain nutritional or pharmacological effects. As one of the well-studied genera of microalgae, Chlorella exhibits abundant nutritional elements, biological safety, and ease of culture, which make it a potential alternative protein source for fish meal (Liu and Chen, 2016; Chen et al., 2018). At present, replacing fish meal with Chlorella meal in rainbow trout (Oncorhynchus mykiss) (Chen et al., 2021), African catfish (Clarias gariepinus) (Raji et al., 2020), zebrafish (Danio rerio) (Carneiro et al., 2020), and crucian carp (Carassius auratus) (Shi et al., 2017b) did not cause negative growth performance. These results indicate that fish meal could potentially be replaced with Chlorella meal. However, the effects of dietary inclusion of Chlorella meal on the growth, pigmentation, and liver health in carnivorous fish, which normally depend on large amounts of fish meal in feeds, have remained elusive.

In China, largemouth bass (Micropterus salmoides) has been widely cultured with an annual production of more than 0.6 million metric tons (Jiang et al., 2018; Zhang et al., 2019). Furthermore, as a typical carnivorous fish, there is a high content of fish meal (about 40% to 54%) in the feeds of largemouth bass (Li et al., 2020a; Wu et al., 2021; Zhang et al., 2020b), which indicate that further development might encounter more challenges from unsustainable fish meal sources. Therefore, there is an urgent requirement to find new alternative proteins to replace fish meal for largemouth bass. However, the replacement of fish meal with Chlorella meal in largemouth bass has not been reported. The present study aimed to investigate the effects of dietary Chlorella meal to replace fish meal on the growth performance, pigmentation, and liver health of largemouth bass.

2. Materials and methods

All fish experiments were conducted according to the Guiding Principles for Care and Use of Laboratory Animals and were approved by the Institute of Hydrobiology, Chinese Academy of Science (IHB, CAS, Protocol No. 2016–018).

2.1. Apparent digestibility coefficients (ADC) determination

ADC of fish meal and Chlorella meal were determined according to the method of Liu et al. (2020) with minor modification. Briefly, Y₂O₃ (0.1%) was added as an indicator and mixed with different ingredients as a reference diet (RD) (Table 1). RD and 2 test diets, in which tested ingredients (fish meal and Chlorella meal) substituted at 30% of the RD were formulated, and made into puffed pellets (diameter: 2 mm). Largemouth bass (mean weight: 71.25 g, 18 fish/tank, 3 tanks/diet) were fed with different diets twice a day in the recycling water system (water temperature: 28 °C). Feces used for ADC determination were collected one week after the first feeding of the experimental diets, which allowed sufficient time to clear all intestinal contents from any previous diet. The feces were carefully collected (about 2 to 3 h after feeding) by siphon and dried on filter paper, and then immediately stored at - 20 °C until enough samples were collected. Subsequently, samples were frozen dried for chemical analyses. The ADC in dry matter and crude protein of the RD and test diets were calculated as follows:

ADC of nutrients (%) = 100 × [1 - (fecal nutrient/dietary nutrient) × (Y₂O₃ in diet)/(Y₂O₃ in feces)] .

Table 1.

Formulation and chemical composition of the reference diet (% dry matter).

Item	Content
Ingredients
Fish meal¹	42
Gluten²	20
Cassava starch³	15
Fish oil⁴	5
Vitamin and mineral additives⁵	1.4
Monocalcium phosphate⁶	2
Choline chloride⁷	2
Guar gum⁸	1.5
Microcrystalline cellulose⁹	11
Y₂O₃¹⁰	0.1
Total	100
Proximate composition
Moisture, % wet weight	4.76
Crude protein	44.31

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Fish meal: from Superprime, TASA Fish Product Co., Ltd., Peru.

Gluten: from Henan Midaner Trading Co., Ltd., Xinzheng, Henan, China.

Cassava starch: from Wuhan Yiteng Starch Co., Ltd., Wuhan, Hubei, China.

⁴

Fish oil: from Coland Feed Co., Ltd., Wuhan, Hubei, China.

⁵

Vitamin and mineral additives: from Guangdong Nutriera Group, Guangzhou, China. Vitamin additives, mg/kg diet: vitamin A 10; vitamin B₁ 6; vitamin B₂ 5; vitamin B₆ 7.5; vitamin B₁₂ (1%) 4; niacinamide 50; ascorbyl calcium phosphate (35%) 500; calcium pantothenate 20; biotin (2%) 2.5; folic acid 5; vitamin E (50%) 200; vitamin K₃ 10; vitamin D₃ 5; inositol 100; corn protein powder 75. Mineral additives, mg/kg diet: CuSO₄·5H₂O 10; FeSO₄·H₂O 300; ZnSO₄·H₂O 200; MnSO₄·H₂O 100; KIO₃ (10%) 80; Na₂SeO₃ (10% Se) 67; CoCl₂·6H₂O (10% Co) 5; NaCl 100; zeolite 638.

⁶

Monocalcium phosphate: from Sinopharm Chemical Reagent Co., Ltd., China.

⁷

Choline chloride: from Guangdong Nutriera Group, Guangzhou, China.

⁸

Guar gum: from Henan Wanbang Chemical Technology Co., Ltd., China.

⁹

Microcrystalline cellulose: from Shandong Liujia Pharmaceutical Excipients Co., Ltd., Jining, Shandong, China.

¹⁰

Y₂O₃: from Sinopharm Chemical Reagent Co., Ltd., China.

The ADC in dry matter and crude protein of the test ingredients (fish meal and Chlorella meal) were calculated as the following formulas:

ADCi (%) = ADt + [(ADt - ADr) × (0.7 × Dr/0.3 × Di)] ,

where ADCi is the apparent digestibility coefficient of the ingredient, ADt is the apparent digestibility of the nutrient in the test diet, ADr is the apparent digestibility of nutrient in the reference diet, Dr is the nutrient content in the reference diet, Di is the nutrient content in the test ingredient.

2.2. Experimental diets

Chlorella meal (Demeter Bio-Tech Co., Ltd., Wuhan, China) and fish meal were used as the main protein sources in the experimental diets. The biochemical composition of fish meal and Chlorella meal was shown in Table 2. In the present study, Chlorella meal was used at concentrations of 11.85%, 23.7%, 35.6%, and 47.45% to replace dietary fish meal at levels of 25% (C25), 50% (C50), 75% (C75), and 100% (C100). A basal diet containing 40% fish meal was used as the control group (C0). Five isonitrogenous and isolipidic experimental diets were formulated according to Table 3. The five extruded pellet diets were made at the Feed Research Institute, Chinese Academy of Agricultural Sciences (Beijing, China). First, all ingredients of each diet were ground through a 100 mesh. Second, they were completely mixed to pass through a twin-screw extruder (EXT50A, Yanggong Machine, Beijing, China) into 2-mm diameter pellets under the following extrusion conditions: feeding section (100 °C), compression section (109 °C) and metering section (124 °C). Third, all pellets were dried in an oven at 65 °C. All the diets were stored at 4 °C for the feeding experiment. The proximate composition of the diets was shown in Table 3, and their amino acid composition was presented in Table 4.

Table 2.

Biochemical composition and apparent digestibility coefficients of fish meal and Chlorella meal.

Item	Fish meal¹
Proximate composition, % dry matter
Moisture, % wet weight	6.80	2.67
Crude protein	68.21	57.50
Crude lipid	9.00	10.20
Crude ash	14.05	4.71
Crude fiber	1.61	0.89
Carbohydrate (crude fiber free)³	0.33	24.0.03
Gross energy, kJ/g	19.98	19.00
Lutein, mg/kg	0.00	79.73
Apparent digestibility coefficient (ADC) of ingredient, %
ADC of dry matter	81.29	72.94
ADC of protein	92.62	87.38
Indispensable amino acids (IAA), % dry matter
Methionine	1.65	0.87
Lysine	4.44	2.80
Threonine	2.42	2.05
Isoleucine	2.63	1.89
Histidine	1.82	0.93
Valine	2.53	2.34
Leucine	4.50	4.31
Arginine	2.19	2.12
Phenylalanine	2.33	2.48
∑IAA	24.52	19.80
Dispensable amino acids (DAA), % dry matter
Aspartic acid	4.55	4.03
Serine	2.13	1.84
Glutamic acid	7.99	7.56
Glycine	3.69	2.95
Alanine	3.85	4.43
Cysteine	0.33	0.34
Proline	2.61	2.64
Tyrosine	1.87	1.59
∑DAA	27.02	25.38
∑TAA	51.54	45.18
Fatty acid composition, % total fatty acids
C14:0	8.12	0.32
C15:0	0.55	0.26
C16:0	14.13	14.11
C17:0	0.64	0.31
C18:0	7.04	1.54
C20:0	0.18	0.17
C24:0	0.41	0.28
∑SFA	31.40	17.12
∑MUFA	21.08	21.25
C18:3n-3	0.56	19.23
C20:3n-3	0.09	0.00
C20:5n-3	15.37	0.00
C22:6n-3	21.02	0.00
C18:2n-6c	1.08	46.90
C18:3n-6	0.21	0.15
C20:2n-6	0.20	0.00
C20:3n-6	0.14	0.00
C20:4n-6	1.20	0.00
C22:2n-6	7.61	0.00
n-3 PUFA	37.03	19.23
n-6 PUFA	10.45	47.05
∑HUFA	47.48	66.28

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∑IAA = sum of indispensable amino acids; ∑DAA = sum of dispensable amino acids; ∑TAA = sum of total amino acids; ∑SFA = sum of saturated fatty acids; ∑MUFA = sum of monounsaturated fatty acids; n-3 PUFA = sum of n-3 polyunsaturated fatty acids; n-6 PUFA = sum of n-6 polyunsaturated fatty acids; ∑HUFA = sum of highly unsaturated fatty acids.

Fish meal: from Superprime, TASA Fish Product Co., Ltd., Peru.

Chlorella meal: from Demeter Bio-Tech Co., Ltd., Wuhan, Hubei, China.

Carbohydrate (crude fiber free) = 100 – (Moisture + Crude protein + Crude lipid + Crude ash + Crude fiber).

Table 3.

Formulation and proximate composition of the experimental diets (% dry matter).

Item	Diets¹
Item	C0	C25	C50	C75	C100
Ingredients
Fish meal²	40.00	30.00	20.00	10.00	0.00
Chlorella meal³	0.00	11.85	23.70	35.60	47.45
Blood meal⁴	4.00	4.00	4.00	4.00	4.00
Gluten⁵	5.00	5.00	5.00	5.00	5.00
Soybean meal⁶	10.00	10.00	10.00	10.00	10.00
Soybean protein concentrate⁷	13.00	13.00	13.00	13.00	13.00
Cassava starch⁸	11.00	11.00	11.00	11.00	11.00
Fish oil⁹	3.50	3.35	3.19	3.04	2.88
Soybean oil¹⁰	3.50	3.35	3.19	3.04	2.88
Vitamin and mineral additives¹¹	1.00	1.00	1.00	1.00	1.00
Monocalcium phosphate¹²	1.50	1.50	1.50	1.50	1.50
Choline chloride¹³	0.10	0.10	0.10	0.10	0.10
Microcrystalline cellulose¹⁴	7.40	5.85	4.32	2.72	1.19
Proximate composition
Moisture, % wet weight	4.25	4.36	4.55	4.71	3.37
Crude protein	49.93	50.10	50.30	50.16	49.64
Crude lipid	12.66	12.72	12.96	11.44	11.32
Crude ash	9.61	8.66	7.47	6.46	5.61
Crude fiber	1.43	1.40	1.30	1.24	1.21
Carbohydrate (crude fiber free)	22.12	22.76	23.42	25.99	28.85
Gross energy, kJ/g dry matter	20.63	20.99	21.16	21.57	21.81
Lutein, mg/kg dry matter	0.00	8.03	11.39	15.87	22.28

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C0, C25, C50, C75, and C100 represent diets in which Chlorella meal replaced fish meal levels of 0%, 25%, 50%, 75%, and 100%, respectively.

Fish meal: from Superprime, TASA Fish Product Co., Ltd., Peru.

Chlorella meal: from Demeter Bio-Tech Co., Ltd., Wuhan, Hubei, China.

⁴

Blood meal: from Beijing Yangyuan Veterinary Medicine Technology Co., Ltd., Beijing, China.

⁵

Gluten: from Henan Midaner Trading Co., Ltd., Xinzheng, Henan, China.

⁶

Soybean meal: from Qingdao Bohai Agricultural Development Co., Ltd., Qingdao, Shandong, China.

⁷

Soybean protein concentrate: from Yihai grain and oil industry Co., Ltd., Taizhou, Jiangsu, China. Proximate composition (dry matter basis): 64% crude protein and 1.05% crude lipid.

⁸

Cassava starch: from Wuhan Yiteng Starch Co., Ltd., Wuhan, Hubei, China.

⁹

Fish oil: from Coland Feed Co., Ltd., Wuhan, Hubei, China.

¹⁰

Soybean oil: from Yihai Kerry Arawana Holdings Co., Ltd., Shanghai, China.

¹¹

¹²

Monocalcium phosphate: from Sinopharm Chemical Reagent Co., Ltd., China.

¹³

Choline chloride: from Guangdong Nutriera Group, Guangzhou, China.

¹⁴

Microcrystalline cellulose: from Shandong Liujia Pharmaceutical Excipients Co., Ltd., Jining, Shandong, China.

Table 4.

Amino acid composition of the experimental diets (% dry matter).

Item	Diets¹
Item	C0	C25	C50	C75	C100
Methionine	0.89	0.89	0.80	0.73	0.64
Lysine	3.09	3.29	3.04	2.94	2.47
Threonine	1.73	1.86	1.85	1.84	1.72
Isoleucine	1.92	2.00	1.99	1.93	1.73
Histidine	1.33	1.38	1.33	1.22	1.10
Valine	1.97	2.18	2.21	2.24	2.10
Leucine	3.66	3.97	4.00	4.11	3.88
Arginine	1.94	2.13	2.12	2.14	1.99
Phenylalanine	2.10	2.21	2.23	2.26	2.24
Aspartic acid	3.64	3.86	3.83	3.76	3.43
Serine	1.85	1.97	1.97	1.93	1.80
Glutamic acid	7.61	8.08	8.13	7.97	7.24
Glycine	2.31	2.45	2.48	2.40	2.21
Alanine	2.58	2.80	2.89	3.02	2.86
Cysteine	0.35	0.31	0.31	0.33	0.32
Proline	2.51	2.56	2.61	2.68	2.54
Tyrosine	1.36	1.48	1.42	1.49	1.37

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C0, C25, C50, C75, and C100 represent diets in which Chlorella meal replaced fish meal levels of 0%, 25%, 50%, 75%, and 100%, respectively.

2.3. Fish and the feeding experiment

The largemouth bass were obtained from a fish farm (Ezhou, Hubei, China). All fish were then transferred into fiberglass cylinders (1,500 L). During the acclimation period of 2 weeks, fish were fed a commercial feed (≥49% crude protein and ≥5% crude lipid, Largemouth bass 1^#, from Wuhan CP Aquatic Co., Ltd., Wuhan, Hubei, China) twice a day at 08:30 and 16:30. The feeding experiment was performed in an indoor recirculating water system containing 15 fiberglass cylinders (rearing volume of 200 L). Residual feed was removed immediately after each feeding, and a siphon was used to remove feces from each tank to maintain the stable operation of the rearing system and to control the water quality. One-fifth of the water in each tank was re-recruited every day. The recycled water was removed from the suspended particulates through a microfiltration machine, trapped the impurities through a sand filter, and eliminated pathogenic bacteria through an ultraviolet sterilizer.

After 24 h of fasting, a total of 300 healthy fish (initial weight: 17.6 ± 0.03 g, n = 15) were randomly distributed into 15 tanks with 20 fish per tank (semidiameter: 30 cm; height: 70 cm; with 167 L of actual water volume). One of the five experimental diets was fed to three tanks (3 tanks per group). Fish were fed twice a day at 08:30 to 09:30 and 16:30 to 17:30 for 8 weeks. Every feeding lasted for 1 h until all fish in the tank were in apparent satiation (there were a few uneaten pellets in each tank). The remaining pellets of each tank were collected, dried, and weighed to calculate the daily feed intake.

During the experiment, continuous aeration was provided to each tank except for the feeding time, and the water flow rate into each tank was approximately 1.4 L/min. The water temperature was maintained at 28 ± 2 °C, and the photoperiod was 12-h light to 12-h dark with a light period from 08:00 to 20:00. The water quality parameters were monitored twice a week, and the values were as follows: pH 7.0 to 7.8, dissolved oxygen ≥5.0 mg/L, ammonia-nitrogen < 0.2 mg/L.

2.4. Sampling

After the feeding experiment was completed, the fish were fasted for 24 h, and then all fish from each tank were weighed and counted. Before sampling, 10 fish from each tank were randomly selected and anesthetized with 10 mg/L MS-222 (Sigma, St Louis, MO, USA). Three fish in each tank (9 fish per group) were randomly collected to measure individual body weight, body length, and liver weight to calculate the condition factor (CF) and hepatosomatic index (HSI). Two fish (6 fish per group) were weighed and stored at - 20 °C for chemical analysis. Two fish (6 fish per group) were used for the dorsal body and abdominal body colorness measurement, then the fish were killed from the abdomen using scissors and the dorsal body skin was peeled with a scalpel and forceps for the colorness measurement of dorsal muscle. Three fish (9 fish per group) were collected for blood sampling (from the caudal vein using heparinized syringes) and 0.2% heparin sodium (configured with 0.68% NaCl) (CAS 9041-08-1, Solarbio, China) was prepared to rinse the syringes and centrifuge tubes before blood sampling. Then, blood samples were centrifuged at 2,054 × g at 4 °C for 10 min to acquire plasma, which was stored at - 80 °C for further analysis. After blood sampling, the fish were killed from the abdomen using scissors and most of the liver and dorsal muscle from each fish were immediately dissected on ice and frozen in liquid nitrogen, then stored at - 80 °C for further analysis. A small part of each liver was fixed by 4% paraformaldehyde for histological analysis.

2.5. Biochemical analysis

The proximate composition of moisture, crude protein, crude lipid, crude ash, and gross energy content of the fish meal, Chlorella meal, experimental diets, whole fish, and dorsal muscle tissues were determined according to the methods of AOAC (2000). Briefly, moisture content was determined by drying the samples to a constant weight at 105 °C for 24 h and calculated as the percentage of water loss. Lipid content was determined using the chloroform-methanol (2:1) method (the samples were crushed and sonicated before the extraction process). Crude protein content (N × 6.25) was determined after acid digestion using an auto Kjeldahl system (Kjeltec-8400, FOSS Tecator, Haganas, Sweden). Crude ash content was determined by incineration in a muffle furnace at 550 °C for 12 h. Gross energy was determined using a Philips Microbomb Calorimeter (Gentry Instruments Inc., Aiken, USA). The crude fiber of fish meal, Chlorella meal, and experimental diets were analyzed using an automatic fiber analyzer (A2000i, ANKOM, USA). The amino acid composition of fish meal, Chlorella meal, and experimental diets were analyzed using an A300 amino acid analyzer (membraPure, Germany) after using the acid hydrolysis method to process all samples (Liu et al., 2016). Fatty acid composition of fish meal and Chlorella meal was analyzed as described by Fei et al. (2020) using a gas chromatograph-mass spectrometer (GC–MS, 7890A, Agilent Technologies, USA). Plasma glucose content was measured using commercial assay kits (638-50971, Wako Pure Chemical Industries, Tokyo, Japan). Each test was performed with at least 2 replicates.

2.6. qRT-PCR analysis

Total RNA was extracted using TRIzol reagent according to the manufacturer's instructions (Invitrogen, Carlsbad, USA). Agarose gel electrophoresis and NanoDrop ND-2000 UV–Vis Spectrophotometer (NanoDrop Technologies, Wilmington, DE, USA) analysis were performed to detect RNA quality and quantity, respectively, and the total RNA was stored at −80 °C for cDNA synthesis. cDNA was synthesized using cDNA synthesis kit (TransGen Biotech, AE311-03) according to the manufacturer's instructions. Real-time quantitative PCR was carried out with SYBR Green I Master Mix (Roche, Germany) on a Light-Cycler 480 System (Roche). All reactions were performed in a 6 μL volume containing 2 μL cDNA template, 0.24 μL each of forward and reverse primers, 3 μL LightCycle 480 SYBR Green I Master, and 0.52 μL ddH₂O. The template was replaced with ddH₂O and amplified in the same plate as the negative controls. The parameters were as follows: pre-incubation at 95 °C for 5 min, followed by 40 cycles of 10 s at 95 °C, 20 s at 60 °C, and 10 s at 72 °C. β-actin was used as a housekeeping gene, and the primers used in this study were listed in Table 5. Each sample was run in triplicate, and the results were expressed according to the method described by Bustin et al. (2009).

Table 5.

Primer sequences used for qRT-PCR analysis.

Gene	Accession number	Forward primer (5′-3′)	Reverse primer (5′-3′)	Size, bp	PCR efficiency
β-actin	XM_038695351.1	AAAGGGAAATCGTGCGTGAC	AAGGAAGGCTGGAAGAGGG	184	1.99
igf-1	XM_038738328.1	CTTCAAGAGTGCGATGTGC	GCCATAGCCTGTTGGTTTACTG	187	2.01
ira	XM_038717604.1	CCCTTGTATCCCTCTCGTTT	CCAATTTCCTGTTCCTCTCC	64	2.02
irs1	XM_038730647.1	TAGTGGTGGTGTCAGCGGT	GGAGGTGGAAGTAAAGGAT	301	2.04
gck	XM_038703173.1	CAGCGTGAGATGGACAGAGG	GGGGGTGGAGCAGACATAAG	87	1.99
pk	XM_038700626.1	CTCTTTCATCCGCAAAGC	AATTCCCAGGTCACCACG	172	2.01
g6pc	XM_038735542.1	AGAAAGCACAGAAGTGGTG	CTTGGTCTCGGTGTAGAGG	137	2.05
pepck	XM_038692953.1	GGAAACGGCCAACATTCT	GCCAACCAGCAGTTCTCAT	81	2.03
bcl2	XM_038695757.1	CATCCTCCTTGGCTCTGG	GGGTCTGTTTGCCTTTGG	141	2.01
casp8	XM_038718636.1	GAGACAGACAGCAGACAACCA	TTCCATTTCAGCAAACACATC	195	1.96
casp9	XM_038723308.1	CTGGAATGCCTTCAGGAGACGGG	GGGAGGGGCAAGACAACAGGGTG	125	1.99
casp3	XM_038713063.1	GCTTCATTCGTCTGTGTTC	CGAAAAAGTGATGTGAGGTA	98	2.00
tor	XM_038723321.1	TCAGGACCTCTTCTCATTGGC	CCTCTCCCACCATGTTTCTCT	208	2.01
s6	XM_038713349.1	GCCAATCTCAGCGTTCTCAAC	CTGCCTAACATCATCCTCCTT	156	1.97
eif2α	XM_038727791.1	TAAGTCCAGCCCATCCAAAA	CACCCGAGGAGGCCATCAAG	233	2.01
atf4	XM_038712791.1	GGAGACCAGGAAGATGCGTAG	TGTCCAGCAGCAGTGATGACA	209	1.95

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β-actin = actin, beta 2; igf-1 = insulin-like growth factor 1; ira = insulin receptor a; irs1 = insulin receptor substrate 1; gck = glucokinase (hexokinase 4); pk = pyruvate kinase; g6pc = glucose-6-phosphatase catalytic subunit; pepck = phosphoenolpyruvate carboxykinase; bcl2 = β-cell lymphoma-2; casp8 = caspase-8-like; casp9 = caspase-9-like; casp3 = caspase-3a; tor = target of rapamycin; s6 = ribosomal protein s6; eif2α = elongation initiation factor 2α; atf4 = activating transcription factor 4.

2.7. Photographing and colorness determination

A Canon EOS 80D camera (Japan) was used for photographing the whole fish, liver, and dorsal muscle of the fish after largemouth bass fed different experimental diets for 8 weeks. The color of the dorsal body, abdominal body, and dorsal muscle of the fish were measured using a Konica Minolta CR-400 tristimulus colorimeter (Minolta, Osaka, Japan). Dorsal body and abdominal body areas were indicated by the red dashed box and black solid box, respectively (Fig. 1A). The dorsal muscle area was where the dorsal body skin was peeled. The L∗ value represents lightness (0 for black, 100 for white), a∗ represents the red/green dimension (redness), and b∗ represents the yellow/blue dimension (yellowness), according to the recommendations of the International Commission on Illumination (Pauli, 1976).

Fig. 1 — Photographing the whole fish, liver and dorsal muscle of largemouth bass fed different experimental diets for 8 weeks. C0, C25, C50, C75, and C100 represent diets in which *Chlorella* meal replaced fish meal levels of 0%, 25%, 50%, 75%, and 100%, respectively. (A) Representative images of whole fish; The red dashed box and black solid box area in the picture represent dorsal body and abdominal body, respectively. (B) Representative images of liver tissues; The yellow dashed box part in the picture was sampled for histological analysis. (C) Representative images of dorsal muscle. Scale bar (1 cm) was presented in the bottom right corner in every picture.

2.8. Lutein determination

The pretreatments of samples were conducted as previously described: fish meal, Chlorella meal, and diets (Ferreira et al., 2007), plasma (Breithaupt et al., 2003), and liver and dorsal muscle tissues (Liu et al., 2019). After pretreatment, the obtained samples were redissolved in 1 mL extract liquid (methanol: dichloromethane = 3:1, vol:vol), filtered, and immediately used for HPLC (Waters e2695, USA) analyses (Liu et al., 2019). All the steps were performed under dim light. Lutein was identified according to the peak time of the lutein standard product (PHL89723-5 MG, Supelco, USA), and the lutein content was quantified according to the standard curve (Y = 5E-08X, R²= 0.9998).

2.9. Histological analysis

Liver samples were dehydrated in a graded ethanol series after fixation for 24 h in 4% paraformaldehyde. They were then embedded in paraffin and cut into 4 μm sections that were stained with hematoxylin and eosin (H&E), terminal deoxynucleotidyl transferase dUTP nick end labeling (TUNEL), and 40, 6-diamidino-2-phenylindole (DAPI), respectively. H&E staining sections were pictured (Nikon Eclipse CI, Japan) and scored (1 to 2 = severe damage, 3 to 4 = moderate, 5 to 6 = mild, 7 to 8 = slight, 9 to 10 = normal) according to their vacuolation area. TUNEL and DAPI staining were pictured (Nikon Eclipse Ti-SR, Japan), and the color area was calculated to determine the apoptosis rate (%) = [100 × green area (TUNEL)/blue area (DAPI)]. Image Pro Plus 6.0 software (Media Cybernetics, USA) was used to quantify the above parameters.

2.10. Statistical analysis

Results were shown as the means ± the standard error of the mean (SEM). All data were analyzed using SPSS 24.0 software (IBM, USA). Levene's test was applied to the homogeneity of variances. One-way analysis of variance (ANOVA) was performed to test the effect of dietary Chlorella meal, and Duncan's multiple range test with P < 0.05 was used to detect the significance of differences among all groups. Orthogonal polynomial contrasts were used to determine whether there was a linear and/or quadratic regression (Wei et al., 2019). A quadratic equation was used to calculate the dietary inclusion level of Chlorella meal when fish achieved maximum values (final body weight, weight gain rate, specific growth rate, or plasma lutein concentrations). R² (0.7 ≤ R² ≤ 1) indicated a good fit of the regression equation to the data (Xu et al., 2018).

3. Results

3.1. The ADC of fish meal and Chlorella meal

The ADC of dry matter in fish meal and Chlorella meal were 81.29% and 72.94%, respectively. The ADC of protein in fish meal and Chlorella meal were 92.62% and 87.38%, respectively (Table 2).

3.2. Growth, feed utilization, and morphological indices

Growth, feed utilization, and morphological indices were listed in Table 6. Increased levels of Chlorella meal significantly influenced final body weight (FBW), weight gain rate (WGR), specific growth rate (SGR), feed intake (FI), feed conversion ratio (FCR), and HSI (P < 0.05). However, survival rate (SR) and CF were not affected by dietary Chlorella meal levels. There were significant linear or quadratic regressions regarding dietary Chlorella meal levels for FBW, WGR, SGR, FCR, and HSI (P < 0.05). The lowest FBW, WGR, and SGR values were found in the C100 group among all treatments (P < 0.05). There was a significant quadratic regression regarding the dietary Chlorella meal levels for FI, which was significantly lower in the C100 group than in the other groups (P < 0.05). Higher FCR and HSI values were found in the C75 and C100 groups than in the other groups (P < 0.05). Based on the quadratic regression analysis between FBW, WGR, or SGR and dietary Chlorella meal level, largemouth bass had the best growth when adding 15.03% to 15.43% dietary Chlorella meal (replace 31.7% to 32.6% of fish meal).

Table 6.

Growth, feed utilization, and morphological indices of largemouth bass fed different experimental diets for 8 weeks (mean ± SEM, n = 3 for IBW, FBW, WGR, SGR, FI, FCR, and SR; n = 9 for HSI and CF).

Item	Diets¹					Pr > F²
Item	C0	C25	C50	C75	C100	ANOVA	Linear trend	Quadratic trend
IBW³, g/fish	17.65 ± 0.08	17.68 ± 0.07	17.60 ± 0.09	17.68 ± 0.09	17.57 ± 0.07	0.804	0.474	0.718
FBW⁴, g/fish	66.85 ± 2.03^bc	71.70 ± 2.11^c	68.93 ± 1.43^bc	64.83 ± 2.14^b	51.21 ± 1.97^a	0.000	0.003	0.000
WGR⁵, %	278.80 ± 13.09^bc	305.56 ± 10.47^c	291.77 ± 9.43^bc	266.64 ± 10.62^b	191.54 ± 11.48^a	0.000	0.003	0.000
SGR⁶, %/d	2.22 ± 0.06^b	2.33 ± 0.04^b	2.27 ± 0.04^b	2.16 ± 0.05^b	1.78 ± 0.06^a	0.000	0.003	0.000
FI⁷, g/fish	41.39 ± 1.24^b	45.22 ± 1.43^b	44.49 ± 0.79^b	43.49 ± 1.63^b	36.58 ± 1.79^a	0.010	0.106	0.001
FCR⁸	0.84 ± 0.01^a	0.84 ± 0.01^a	0.87 ± 0.01^a	0.92 ± 0.01^b	1.09 ± 0.01^c	0.000	0.000	0.000
SR⁹, %	91.67 ± 4.41	96.67 ± 3.33	98.33 ± 1.67	96.67 ± 1.67	96.67 ± 1.67	0.540	0.259	0.226
HSI¹⁰, %	3.02 ± 0.11^c	3.37 ± 0.12^c	3.54 ± 0.10^c	4.32 ± 0.27^b	4.94 ± 0.23^a	0.000	0.000	0.000
CF¹¹, g/cm³	2.32 ± 0.05	2.24 ± 0.02	2.28 ± 0.03	2.29 ± 0.03	2.22 ± 0.05	0.174	0.238	0.496

Quadratic regressions			R²	Y_max¹², %	Replace fish meal level¹³, %
Y_FBW = - 0.0002X² + 0.0601X + 66.8621			0.8577	15.03	31.7
Y_WGR = - 0.0011X² + 0.338X + 278.8271			0.8576	15.43	32.6
Y_SGR = - 5E-06X² + 0.0016X + 2.2125			0.8633	15.03	31.7

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C0, C25, C50, C75, and C100 represent diets in which Chlorella meal replaced fish meal levels of 0%, 25%, 50%, 75%, and 100%, respectively. Duncan's multiple range test was used to detect the significance of differences among all groups. Different superscripts on the same row indicate significant differences (P < 0.05).

Significance probability associated with the F-statistic.

IBW = initial body weight.

⁴

FBW = final body weight.

⁵

Weight gain rate (WGR) = 100 × (Final body weight- Initial body weight)/Initial body weight).

⁶

Specific growth rate (SGR) = 100 × [ln (Final body weight) − ln (Initial body weight)]/Days.

⁷

FI = feed intake (total amount of the dry feed consumed).

⁸

Feed conversion ratio (FCR) = Feed intake/(Total final body weight – Total initial body weight).

⁹

Survival rate (SR) = 100 × (Final fish number/Initial fish number).

¹⁰

Hepatosomatic index (HIS) = 100 × (Liver weight/Whole body weight).

¹¹

Condition factor (CF) = 100 × (Body weight/Body length³).

¹²

Based on the quadratic regression analysis between the parameters and dietary Chlorella meal level to calculate the optimal Chlorella meal content.

¹³

Based on the Y_max to calculate the replace fish meal level by Chlorella meal.

3.3. Biochemical indicators

The plasma glucose content and proximate composition of the whole fish and dorsal muscle were shown in Table 7. The increasing levels of Chlorella meal significantly affected the plasma glucose and crude protein of the whole fish and dorsal muscle (P < 0.05). No significant effects of dietary Chlorella meal levels were observed on whole fish and dorsal muscle, including moisture, crude lipid, crude ash, and gross energy. With increasing dietary Chlorella meal levels, plasma glucose increased linearly or quadratically, whereas plasma glucose significantly increased in the C75 and C100 groups compared to the other groups (P < 0.05). With increasing dietary Chlorella meal levels, the crude protein of the whole fish and dorsal muscle decreased linearly and quadratically, with the lowest content in the C100 group (P < 0.05).

Table 7.

Plasma glucose and proximate composition of whole fish and dorsal muscle of largemouth bass fed different experimental diets for 8 weeks (mean ± SEM, n = 6 for glucose content; n = 3 for the proximate composition of whole fish and dorsal muscle parameters).

Item	Diets¹					Pr > F²
Item	C0	C25	C50	C75	C100	ANOVA	Linear trend	Quadratic trend
Plasma
Glucose content, mg/dL	60.21 ± 2.31^a	57.97 ± 3.78^a	62.70 ± 3.73^a	81.24 ± 5.52^b	91.14 ± 3.96^b	0.000	0.000	0.000
Whole fish, % wet weight
Moisture	71.44 ± 0.65	70.35 ± 0.38	71.00 ± 0.17	71.60 ± 0.14	71.65 ± 0.62	0.311	0.339	0.334
Crude protein	17.04 ± 0.19^ab	17.09 ± 0.03^b	16.93 ± 0.16^ab	16.54 ± 0.22^ab	16.50 ± 0.09^a	0.024	0.002	0.007
Crude lipid	8.01 ± 0.37	8.91 ± 0.30	8.59 ± 0.17	8.37 ± 0.21	8.40 ± 0.51	0.443	0.821	0.426
Crude ash	3.78 ± 0.11	3.84 ± 0.11	3.93 ± 0.08	3.82 ± 0.06	3.66 ± 0.06	0.329	0.383	0.100
Gross energy³, kJ/g	23.16 ± 0.40	24.44 ± 0.66	23.65 ± 0.12	23.46 ± 0.15	23.74 ± 0.41	0.320	0.895	0.709
Dorsal muscle, % wet weight
Moisture	77.89 ± 0.23	78.17 ± 0.03	78.14 ± 0.08	78.78 ± 0.37	78.75 ± 0.11	0.542	0.503	0.623
Crude protein	19.09 ± 0.13^b	19.00 ± 0.07^b	19.03 ± 0.08^b	18.59 ± 0.19^ab	18.33 ± 0.05^a	0.000	0.000	0.000
Crude lipid	2.47 ± 0.17	2.49 ± 0.19	2.52 ± 0.14	2.47 ± 0.18	2.51 ± 0.15	0.999	0.896	0.990
Crude ash	1.37 ± 0.02	1.32 ± 0.02	1.39 ± 0.03	1.35 ± 0.02	1.41 ± 0.04	0.238	0.225	0.247
⁴Gross energy, kJ/g	21.84 ± 0.03	21.85 ± 0.09	21.73 ± 0.09	21.76 ± 0.07	21.72 ± 0.04	0.537	0.114	0.297

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Significance probability associated with the F-statistic.

Gross energy in whole fish (dry matter basis).

⁴

Gross energy in dorsal muscle (dry matter basis).

3.4. Transcriptional expression in liver tissues

As shown in Table 8, increasing levels of Chlorella meal significantly affected the liver transcriptional levels of insulin-like growth factor 1 (igf-1), insulin pathway-related genes of insulin receptor a (ira) and insulin receptor substrate 1 (irs1), glycolysis-related genes of glucokinase (gck) and pyruvate kinase (pk), gluconeogenesis-related genes of glucose-6-phosphatase catalytic subunit (g6pc) and phosphoenolpyruvate carboxykinase (pepck), apoptosis-related genes of β-cell lymphoma-2 (bcl2), caspase-9-like (casp9), and caspase-3a (casp3), and amino acid response pathway-related genes of activating transcription factor 4 (atf4) (P < 0.05). However, the dietary Chlorella meal did not significantly affect caspase-8-like (casp8), elongation initiation factor 2α (eif2α), and target of rapamycin (TOR) pathway-related genes of target of rapamycin (tor) and ribosomal protein s6 (s6). The liver transcriptional levels of igf-1, g6pc, and pepck significantly decreased linearly or quadratically (P < 0.05), whereas igf-1 and pepck significantly decreased in the C75 and C100 groups compared with the C0 group (P < 0.05), and g6pc significantly decreased in the C50 and C100 groups compared with the C0 group (P < 0.05). Moreover, compared to the C0 group, the liver transcriptional levels of bcl2, casp9, and casp3 in the C100 group were markedly upregulated 1.1-fold, 0.9-fold, and 1.6-fold, respectively.

Table 8.

The transcriptional level of genes in the liver of largemouth bass fed different experimental diets for 8 weeks (mean ± SEM, n = 6).

Gene¹	Diets²					Pr > F³
Gene¹	C0	C25	C50	C75	C100	ANOVA	Linear trend	Quadratic trend
igf-1	1.06 ± 0.16^b	1.20 ± 0.13^b	0.87 ± 0.03^ab	0.43 ± 0.10^a	0.67 ± 0.07^a	0.001	0.001	0.004
ira	1.05 ± 0.14^a	1.62 ± 0.25^ab	1.08 ± 0.17^a	1.35 ± 0.10^ab	2.39 ± 0.56^b	0.021	0.023	0.026
irs1	1.32 ± 0.44^a	1.23 ± 0.17^a	2.22 ± 0.51^a	3.20 ± 0.12^ab	9.19 ± 2.73^b	0.003	0.001	0.000
gck	1.24 ± 0.29^ab	1.17 ± 0.10^a	1.66 ± 0.33^ab	1.00 ± 0.19^a	3.62 ± 1.20^b	0.021	0.030	0.018
pk	1.19 ± 0.32^a	1.06 ± 0.18^a	0.71 ± 0.03^a	2.13 ± 0.42^ab	3.47 ± 1.23^b	0.006	0.005	0.001
g6pc	1.03 ± 0.12^b	1.18 ± 0.12^b	0.64 ± 0.04^a	0.66 ± 0.10^ab	0.61 ± 0.04^a	0.000	0.000	0.001
pepck	1.07 ± 0.18^b	0.77 ± 0.14^ab	0.65 ± 0.15^ab	0.50 ± 0.12^a	0.58 ± 0.07^a	0.055	0.007	0.009
bcl2	1.13 ± 0.28^a	1.14 ± 0.13^a	0.87 ± 0.19^a	1.03 ± 0.11^a	2.39 ± 0.70^b	0.039	0.055	0.013
casp8	1.04 ± 0.35	1.17 ± 0.16	0.96 ± 0.15	1.03 ± 0.09	1.45 ± 0.30	0.488	0.311	0.315
casp9	1.16 ± 0.30^a	0.90 ± 0.07^a	0.99 ± 0.15^a	1.23 ± 0.08^a	2.97 ± 0.23^b	0.000	0.003	0.000
casp3	1.04 ± 0.21^a	1.12 ± 0.07^a	0.94 ± 0.15^a	1.17 ± 0.06^a	1.94 ± 0.09^b	0.001	0.005	0.000
tor	1.09 ± 0.22	1.19 ± 0.09	1.07 ± 0.13	0.97 ± 0.14	1.04 ± 0.06	0.846	0.444	0.749
s6	1.10 ± 0.22	1.21 ± 0.06	0.87 ± 0.09	0.85 ± 0.11	0.96 ± 0.19	0.358	0.160	0.326
eif2α	1.11 ± 0.26	1.20 ± 0.10	0.96 ± 0.09	0.81 ± 0.15	1.23 ± 0.14	0.322	0.777	0.441
atf4	1.01 ± 0.23^ab	0.93 ± 0.10^a	1.26 ± 0.11^ab	1.18 ± 0.08^ab	2.22 ± 0.82^b	0.044	0.013	0.015

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igf-1 = insulin-like growth factor 1; ira = insulin receptor a; irs1 = insulin receptor substrate 1; gck = glucokinase (hexokinase 4); pk = pyruvate kinase; g6pc = glucose-6-phosphatase catalytic subunit; pepck = phosphoenolpyruvate carboxykinase; bcl2 = β-cell lymphoma-2; casp8 = caspase-8-like; casp9 = caspase-9-like; casp3 = caspase-3a; tor = target of rapamycin; s6 = ribosomal protein s6; eif2α = elongation initiation factor 2α; atf4 = activating transcription factor 4.

β-actin was used as a housekeeping gene.

Significance probability associated with the F-statistic.

3.5. Colorness and lutein content

Compared to the C0 group, all other groups showed visual color changes in the whole fish (Fig. 1A), liver (Fig. 1B), and dorsal muscle tissues (Fig. 1C) of largemouth bass. As shown in Table 9, the a∗ (redness) in the dorsal body, abdominal body, and b∗ (yellowness) in the dorsal body, abdominal body, and dorsal muscle were significantly affected by the dietary Chlorella meal levels (P < 0.05). No significant effects of dietary Chlorella meal levels were observed on the L∗ (lightness) of the dorsal body, abdominal body, and dorsal muscle. There were significant linear or quadratic trends regarding the dietary Chlorella meal levels for the a∗ in the dorsal body and abdominal body and for the b∗ in the dorsal body, abdominal body, and dorsal muscle (P < 0.05). Moreover, the b∗ value of the dorsal body, abdominal body, and dorsal muscle in all supplemented Chlorella meal groups were significantly increased 1.5 to 2.0 fold, 1.5 to 1.8 fold, and 3.8 to 5.4 fold, respectively.

Table 9.

The color parameters of the dorsal body, abdominal body, and dorsal muscle of largemouth bass fed different experimental diets for 8 weeks (mean ± SEM, n = 6).

Item	Diets¹					Pr > F²
Item	C0	C25	C50	C75	C100	ANOVA	Linear trend	Quadratic trend
Dorsal body³
L∗	42.15 ± 2.43^ab	41.06 ± 1.54^a	43.79 ± 1.21^ab	47.01 ± 1.57^b	41.63 ± 1.89^a	0.155	0.417	0.377
a∗	−4.85 ± 0.30^c	−6.74 ± 0.33^bc	−6.76 ± 0.20^bc	−7.28 ± 0.33^a	−6.20 ± 0.45^b	0.000	0.023	0.000
b∗	5.34 ± 0.28^a	13.73 ± 0.59^bc	13.36 ± 1.10^b	16.02 ± 1.29^c	14.65 ± 0.76^bc	0.000	0.000	0.000
Abdominal body⁴
L∗	76.02 ± 0.68	78.18 ± 1.06	79.84 ± 1.25	78.47 ± 1.23	76.23 ± 2.16	0.267	0.875	0.073
a∗	−6.72 ± 0.21^b	−8.95 ± 0.20^a	−8.88 ± 0.30^a	−9.27 ± 0.49^a	−8.60 ± 0.19^a	0.000	0.004	0.000
b∗	8.64 ± 0.53^a	21.83 ± 1.0^b	21.85 ± 1.74^b	24.47 ± 1.76^b	21.30 ± 0.77^b	0.000	0.000	0.000
Dorsal muscle⁵
L∗	42.99 ± 0.51	42.09 ± 1.07	41.17 ± 1.44	42.05 ± 0.74	41.64 ± 1.10	0.785	0.386	0.523
a∗	−3.31 ± 0.08^b	−3.32 ± 0.46^b	−3.90 ± 0.40^ab	−4.48 ± 0.16^a	−3.68 ± 0.34^ab	0.090	0.086	0.103
b∗	1.38 ± 0.14^a	6.63.00 ± 0.69^b	7.41 ± 0.83^bc	7.70 ± 0.54^bc	8.89 ± 0.65^c	0.000	0.000	0.000

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L∗ = lightness; a∗ = redness; b∗ = yellowness.

Significance probability is associated with the F-statistic.

Refer to Fig. 1A for the specific measured position.

⁴

Refer to Fig. 1A for the specific measured position.

⁵

Refer to Fig. 1A for the specific measured position, measured after peeled the skin of dorsal body.

Linear and quadratic regressions were analyzed by orthogonal polynomial contrasts, and then the equation with a higher R² score was selected to make the figures shown in Fig. 2. The lutein concentrations in plasma (Fig. 2A), liver (Fig. 2B), and dorsal muscle (Fig. 2C) were significantly affected by dietary Chlorella meal levels (P < 0.05), and there were significant linear or quadratic trends between the increasing levels of Chlorella meal (P < 0.05). Based on quadratic regression analysis between plasma lutein concentrations and dietary Chlorella meal levels, largemouth bass had the maximum plasma lutein concentration when adding 43.83% of Chlorella meal to the diet. Similarly, there were significant linear or quadratic relationships between b∗ and lutein concentrations in the dorsal muscles (Fig. 2D) (P < 0.05).

Fig. 2 — The regression analyses between lutein concentrations and different parameters of largemouth bass fed different experimental diets for 8 weeks (mean ± SEM, n = 3). (A) The quadratic regression analysis between the plasma lutein concentrations and dietary *Chlorella* meal content. (B) The linear regression analysis between the liver lutein concentrations and dietary *Chlorella* meal content. (C) The linear regression analysis between the dorsal muscle lutein concentrations and dietary *Chlorella* meal content. (D) The linear regression analysis between the dorsal muscle lutein concentrations and b∗ of dorsal muscle. (Interpretation: Linear and quadratic trends were analyzed by orthogonal polynomial contrasts, and then the equation with a higher R² score was selected to make the figures shown above).

3.6. Histological changes

The fish liver in the C25 group showed the best health status compared to the other groups (Fig. 3). However, with the increased inclusion of dietary Chlorella meal, liver cells became bigger, and many nuclei disappeared in cells, especially in the C100 group (Fig. 3A). Fish fed the C75 and C100 diets exhibited much more severe liver vacuolization than those fed the other diets (Fig. 3B) (P < 0.05). The results of liver DAPI and TUNEL staining were shown in Fig. 4. The C100 group showed the highest apoptosis rate in the liver compared to the other groups (Fig. 4B) (P < 0.05).

Fig. 4 — Liver DAPI and TUNEL staining analyses of largemouth bass fed different experimental diets for 8 weeks. C0, C25, C50, C75, and C100 represent diets in which *Chlorella* meal replaced fish meal levels of 0%, 25%, 50%, 75%, and 100%, respectively. (A) Representative images (200 × , scale bar = 100 μm). Under the fluorescence microscope, the blue color represents the nucleus and the green color represents apoptotic cells. (B) Images' statistical analysis (mean ± SEM, n = 9). Apoptosis rate (%) = 100 × [Green color area (TUNEL area)]/[Bule color area (DAPI area)]. TUNEL = terminal deoxynucleotidyl transferase dUTP nick end labeling; DAPI = 40, 6-diamidino-2-phenylindole. Duncan's multiple range test used to detect its significance. Values marked with different superscripts above the bars indicate significant differences (P < 0.05).

4. Discussion

4.1. Effects of dietary Chlorella meal on growth performance of fish

In the present study, compared to the control group (40% dietary fish meal), Chlorella meal replacing 31.7% to 32.6% of the dietary fish meal had the best growth (FBW, WGR, and SGR) in largemouth bass and Chlorella meal, replacing up to 50% of dietary fish meal did not have a negative influence on growth and FCR. This is in agreement with many previous studies showing that dietary Chlorella inclusion had no negative impact on growth in rainbow trout (Gouveia et al., 1998), sterlet (Acipenser ruthenus) (Sergejevova and Masojidek, 2012), gilthead seabream (Sparus aurata) (Gouveia et al., 2002), zebrafish (Carneiro et al., 2020) and Nile tilapia (Oreochromis niloticus) (Teuling et al., 2017). In olive flounder (Paralichthys olivaceus), supplementation with 10% to 15% dietary Chlorella vulgaris enhanced the growth performance of fish after 8-week feeding (Rahimnejad et al., 2017). In rainbow trout, dietary inclusion of 10% Chlorella sorokiniana meal (containing 26.6% dietary fish meal) did not significantly influence the FBW, WGR, SGR, and FCR compared with the control diet (containing 30% dietary fish meal) after a 90-day feeding experiment (Chen et al., 2021). Similarly, the SGR of rainbow trout was not influenced by the dietary inclusion of 4% C. vulgaris after 9-week feeding (Gouveia et al., 1996). These results indicate that Chlorella meal is an effective alternative protein source for fish meal in aquatic animals, including largemouth bass. This may be due to the abundant nutrients of Chlorella, such as balanced amino acids, high levels of highly unsaturated fatty acids, antioxidants, pigments, vitamins, and a growth substance known as the Chlorella growth factor (CGF), which made Chlorella have a similar nutritional contribution as fish meal (Alagawany et al., 2021; Kotrbacek et al., 2015).

However, the growth performance of largemouth bass was significantly decreased when the fish meal was completely replaced by 47.45% dietary Chlorella meal. This could be due to the significantly decreased FI. The digestibility, especially the protein digestibility, was lower in Chlorella meal than in the fish meal, which might lead to inadequate utilization of the nutrients in Chlorella meal by largemouth bass, and decrease the growth in totally replacement group. The inadequate utilization of the nutrients could be caused by the thick cell walls of Chlorella meal (Shah et al., 2018). This was further evidenced by the significantly increased FCR in the C75 and C100 groups. In addition, the balanced dietary amino acid composition is essential for the growth of aquaculture species (Canada et al., 2016; Oliveira et al., 2021). For largemouth bass, the optimal dietary level of methionine is 1.22% (Chen et al., 2010). In the present study, compared to fish meal, the low level of methionine in Chlorella meal led to the low dietary level of methionine (0.64%) in the C100 group, which is 50% of the requirement of largemouth bass. Furthermore, the protein digestibility was lower in Chlorella meal than fish meal, which meant the available amino acid would be even lower in the C100 group. This might be one key reason for the decreased growth in the C100 group. Li et al. (2021b) proved that compared to the control diet (65.3% of fish meal), supplementation with 0.5% of methionine to the low fish meal diet (14.5% of fish meal) significantly improved the growth of largemouth bass.

Besides, excessive dietary Chlorella meal could not be efficiently utilized because of excessive supplementation of Chlorella meal led to high dietary carbohydrate, which was 28.85% carbohydrate (crude fiber-free) in the C100 group. Zhang et al. (2019) reported that high dietary starch levels (24 to 36%) could cause significant adverse effects on largemouth bass. This could cause glucose intolerance, abnormal glucose metabolism, and retarded growth of largemouth bass, as evidenced by the present results of significantly increased plasma glucose level, decreased growth, and glucose metabolism in the C100 group. Furthermore, the crude protein content was significantly decreased in the C100 group, which might be a further subject along with the decreased growth in the C100 group.

In addition, the growth of fish is mainly regulated by some pathways, including Growth Hormone-IGF-1 and insulin signals. Igf-1 is an essential regulator of fish growth (Dai et al., 2020). It has been reported that total replacement of fish meal (70.37% fish meal in control diet) by a mixture of plant proteins significantly decreased the growth and down-regulated the expression of igf-1 in the liver of gilthead sea bream (S. aurata) (Gomez-Requeni et al., 2004). In Japanese flounder (P. olivaceus), a 3.7% ultrafiltration diet significantly increased the growth and upregulated the expression of igf-1 in the fish liver (Zheng et al., 2012). In the present study, significantly reduced growth was accompanied by downregulation of liver igf-1 in the C100 group. This could partly explain the suppressed growth of largemouth bass in the C100 group.

The insulin pathway is important in maintaining glucose homeostasis. Activation of the insulin pathway usually stimulates glycolysis and inhibits gluconeogenesis (Wang et al., 2020). In the present study, the C100 group significantly induced the transcriptional levels of ira and irs1 in the liver, indicating activation of the insulin pathway. Meanwhile, a significant upregulation of gck and pk was found in the liver of the C100 group, which plays a key role in glycolysis. This was supported by previous results showing an obvious upregulation of gk and pk in the liver of largemouth bass fed high-carbohydrate diets (24% to 36% dietary starch) (Zhang et al., 2019). In the present study, the transcriptional levels of pepck and g6pc, key enzymes in gluconeogenesis, were significantly downregulated in the largemouth bass liver of the C100 group. This was also supported by the fact that high dietary corn starch (20%) could suppress gluconeogenesis by downregulating the expression of pepck and g6pc in the liver of largemouth bass (Zhang et al., 2020c). All these activated glucose metabolism genes indicated that the C100 group received the effects of increased dietary carbohydrate, which would cause the suppressed growth of largemouth bass.

Many studies have shown that dietary Chlorella does not affect the crude protein content of the whole body or muscle of fish (Kim et al., 2002; Rahimnejad et al., 2017; Luo et al., 2018). Similarly, our results showed that replacing up to 75% of fish meal with Chlorella meal did not significantly affect the crude protein content of the whole body and dorsal muscle of largemouth bass. However, crude protein content was significantly decreased in the C100 group. In fish, the TOR pathway mainly regulates protein synthesis (Song et al., 2016). In the present study, no significant changes in tor and s6, two key factors in the TOR pathway, were found in the liver tissues of largemouth bass fed different Chlorella meal diets. In contrast to the TOR pathway, the amino acid response pathway is key to regulating protein catabolism through the activation of atf4 (Kilberg et al., 2005; Dai et al., 2020). In the present study, atf4 was significantly upregulated in the C100 group, indicating the induction of protein catabolism. This was responsible for the reduced crude protein content of the whole body and dorsal muscle and finally suppressed the growth of largemouth bass in the C100 group.

4.2. Dietary inclusion of Chlorella meal improves the pigmentation of fish

The carotenoid is a pigment commonly found in some microalgae, such as Dunaliella salina, Haematococcus pluvialis, C. vulgaris, and Porphyridium cruentum (Ahmad et al., 2020; Gong and Bassi, 2016). Feed supplemented carotenoids (including natural-source carotenoids of microalgae) improved fish pigmentation because fish cannot de novo synthesis of carotenoids (Alagawany et al., 2021). Chlorella is a type of microalgae rich in carotenoids (0.4% on a dry basis) (Gouveia et al., 2002), which can improve the health and body color of fish (Zhu and Mai, 2003). The present study observed that dietary Chlorella meal could enhance the pigmentation of largemouth bass. In agreement with our study, the inclusion of Chlorella in the feed also enhanced the pigmentation of sterlet (Sergejevova and Masojidek, 2012), rainbow trout (Gouveia et al., 1996, 1997, 1998), and gilthead seabream (Gouveia et al., 2002). It has been reported that the lutein (a primary carotenoid) content in Chlorella was about ten times higher than that in marigold, where marigold is the main plant species that produces lutein in the industry (Chen et al., 2018; Chen and Liu, 2018; Gong and Bassi, 2017). This indicates that Chlorella contains abundant lutein and has been directly used as a source of natural pigments in medicine, food, and cosmetics (Ahmad et al., 2020). In the present study, rich lutein content was found in the plasma, liver, and dorsal muscle tissues of largemouth bass fed different Chlorella meal diets. This is mainly caused by the high lutein content in Chlorella meal (79.73 mg/kg) because no lutein content was detected in the control diet, and fish could not synthesize lutein by themselves. This result was supported by previous studies showing that dietary lutein could accumulate in the fillets of channel catfish (Ictalurus punctatus) (Li et al., 2007), skin and liver tissues of yellow catfish (Pelteobagrus fulvidraco) (Liu et al., 2019). Moreover, Meilisza et al. (2017) found that the dietary inclusion of 0.1% lutein could significantly increase the muscle carotenoid (including lutein) content in the Lake Kurumoi rainbowfish (Melanotaenia parva). These studies indicate that lutein accumulates in different tissues of different fish species. Yellow body color is determined by xanthophores containing carotenoids (Kimler and Taylor, 2002). b∗ is an important parameter used to analyze coloration in fish (Wei et al., 2019; Liu et al., 2019). Storebakken et al. (2004) used several mathematical models to describe the relationship between instrumentally assessed coloration and carotenoid concentration, indicating that instrument color analysis under standard conditions can accurately predict carotenoid levels. Liu et al. (2019) found a positive correlation between b∗ and lutein content in the abdominal and dorsal skin and suggested that lutein could be a key indicator for judging the pigmentation of yellow catfish. Similarly, in the present study, the b∗ of the dorsal and abdominal body and dorsal muscle were significantly increased in the dietary Chlorella groups compared with the control group. There was a positive correlation between b∗ and lutein content of the dorsal muscle, which indicated that lutein was also an important indicator for judging the pigmentation of largemouth bass.

4.3. Excess replacing fish meal with Chlorella meal leads to liver damage of fish

Histological changes in the liver are crucial for understanding nutrition-related pathological alterations in fish (Shi et al., 2017a, b). Dietary inclusion of Chlorella meal has been reported to lead to karyopyknosis and enlarged hepatocyte size in the liver tissues of crucian carp (Shi et al., 2017b). Another study found that replacing fish meal with a combination of soybean meal and Chlorella meal also caused the disappearance of the nuclear membrane in cells, karyopyknosis, and hepatocyte necrosis in juvenile crucian carp (Shi et al., 2017a). Similarly, in the present study, replacing 75% or 100% dietary fish meal with Chlorella meal led to severe vacuolation in the liver of largemouth bass. The reason could be that the high dietary inclusion of Chlorella meal (35.6% to 47.45%) increased dietary carbohydrate (crude fiber-free) content (25.99% in the C75 group and 28.85% in the C100 group), which caused glucose intolerance and liver impairment of largemouth bass, which was evidenced by the increased plasma glucose levels and liver apoptosis signals in the C75 and C100 groups. This was also supported by high dietary carbohydrates (24% to 36% of dietary starch) causing hyperglycemia and severe liver vacuolation in largemouth bass.

Apoptosis is essential for the development and maintenance of cellular homeostasis (Kumar et al., 2016). However, the over-activation of these signals induces irreparable apoptosis, which is detrimental to the liver health of fish (Li et al., 2020b; Lu et al., 2021). The C100 group significantly induced the liver transcriptional level of bcl2, one of the major markers of anti-apoptosis, which implied that feedback regulation was stimulated under adverse conditions to maintain cellular homeostasis. The caspase family plays a very important role in mediating apoptosis (Elmore, 2007). Many studies have suggested that there is a close relation between proteolysis and apoptotic pathways (Yin et al., 2019). Caspase-8 and caspase-9 are two essential proteases of the extrinsic and intrinsic apoptotic pathways, respectively (Wang and Lenardo, 2000). In the present study, the relative expressions of liver caspase-9 and caspase-3 were significantly upregulated in the C100 group. These together with TUNEL staining results suggested that apoptotic pathways might be induced in the liver of largemouth bass. A recent study also found that caspase-9 and caspase-3 were significantly upregulated when more than 50% fish meal (40% fish meal in the control diet) was replaced by a single-cell protein, Clostridium autoethanogenum, in the largemouth bass liver (Lu et al., 2021). The significantly increased liver transcriptional levels of caspase-9 and caspase-3 and significantly increased liver apoptosis rate (TUNEL and DAPI) in the C100 group implied that apoptosis induced by caspases might cause irreversible liver damage.

5. Conclusions

In the present study, based on the quadratic regression analysis between FBW, WGR, SGR, and dietary Chlorella meal, largemouth bass had the best growth when replacing 31.7% to 32.6% of fish meal with 15.03% to 15.43% dietary Chlorella meal. Dietary inclusion of Chlorella meal (11.85% to 47.45%) significantly improved the pigmentation of largemouth bass. Total replacement of fish meal (40%) by Chlorella meal (47.45%) caused suppressed growth, decreased feed utilization, and liver damage in largemouth bass. In future, further studies could be focused on the bioactive substances in Chlorella meal on the immune response of fish and the specific mechanism of Chlorella meal in modulating fish pigmentation. Furthermore, whether supplementation with amino acids (such as methionine) in Chlorella meal could alleviate the negative effects on fish under high replacement of fish meal also needs to be considered.

Author contributions

Longwei Xi: writing–original draft, methodology, software, data curation, formal analysis, investigation. Qisheng Lu: methodology, software, formal analysis, investigation. Yulong Liu: methodology, software, formal analysis, investigation. Jingzhi Su: methodology, software, formal analysis, investigation. Wen Chen: data curation, investigation. Yulong Gong: formal analysis, investigation. Dong Han: conceptualization, writing-review & editing, supervision, funding acquisition. Yunxia Yang: resources. Zhimin Zhang: resources. Junyan Jin: resources. Haokun Liu: resources. Xiaoming Zhu: conceptualization, funding acquisition, resources. Shouqi Xie: conceptualization, funding acquisition, resources.

Declaration of competing interest

We declare that we have no financial and personal relationships with other people or organizations that can inappropriately influence our work, and there is no professional or other personal interest of any nature or kind in any product, service and/or company that could be construed as influencing the content of this paper.

Acknowledgements

This research was funded by National Natural Science Foundation of China (U21A20266, 31972771, 31972805, 31672670), China Agriculture Research System of MOF and MARA (CARS-46), National Key R&D Program of China (2018YFD0900400), Fund Project in State Key Laboratory of Freshwater Ecology and Biotechnology (2019FBZ02, 2019FBZ05), and Hubei High-tech Innovation and Business Incubation Center (2019-02-055). The authors are grateful to Guanghan Nie for his technical help. We would like to thank Jun Men and Yanxia Zuo at the Analysis and Testing Center of Institute of Hydrobiology, Chinese Academy of Sciences for the composition of amino acids and fatty acids analysis. We would like to thank Prof. Xia Wan at Oil Crops Research Institute, Chinese Academy of Agricultural Sciences for assistance with the crude fiber analysis.

Footnotes

Peer review under responsibility of Chinese Association of Animal Science and Veterinary Medicine.

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PERMALINK

Effects of fish meal replacement with Chlorella meal on growth performance, pigmentation, and liver health of largemouth bass (Micropterus salmoides)

Longwei Xi

Qisheng Lu

Yulong Liu

Jingzhi Su

Wen Chen

Yulong Gong

Dong Han

Yunxia Yang

Zhimin Zhang

Junyan Jin

Haokun Liu

Xiaoming Zhu

Shouqi Xie

Abstract

1. Introduction

2. Materials and methods

2.1. Apparent digestibility coefficients (ADC) determination

Table 1.

2.2. Experimental diets

Table 2.

Table 3.

Table 4.

2.3. Fish and the feeding experiment

2.4. Sampling

2.5. Biochemical analysis

2.6. qRT-PCR analysis

Table 5.

2.7. Photographing and colorness determination

Fig. 1.

2.8. Lutein determination

2.9. Histological analysis

2.10. Statistical analysis

3. Results

3.1. The ADC of fish meal and Chlorella meal

3.2. Growth, feed utilization, and morphological indices

Table 6.

3.3. Biochemical indicators

Table 7.

3.4. Transcriptional expression in liver tissues

Table 8.

3.5. Colorness and lutein content

Table 9.

Fig. 2.

3.6. Histological changes

Fig. 3.

Fig. 4.

4. Discussion

4.1. Effects of dietary Chlorella meal on growth performance of fish

4.2. Dietary inclusion of Chlorella meal improves the pigmentation of fish

4.3. Excess replacing fish meal with Chlorella meal leads to liver damage of fish

5. Conclusions

Author contributions

Declaration of competing interest

Acknowledgements

Footnotes

References

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