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Article

Regulation of Sturgeon Growth, Immunity, and Intestinal Microbiota by Lactococcus lactis and Its Selenium-Enriched Product as an Alternative to Antibiotic: Advantages and Limitations of Inorganic Selenium

1
School of Marine Science and Engineering, Qingdao Agricultural University, Qingdao 266237, China
2
Marine Science Research Institute of Shandong Province (National Oceanographic Center, Qingdao), Qingdao 266104, China
*
Authors to whom correspondence should be addressed.
These authors contributed equally to this work.
Fishes 2026, 11(6), 356; https://doi.org/10.3390/fishes11060356
Submission received: 8 May 2026 / Revised: 9 June 2026 / Accepted: 11 June 2026 / Published: 16 June 2026
(This article belongs to the Special Issue Ecological Aquaculture and Disease Prevention and Control)

Abstract

This study evaluated Lactococcus lactis RDN-1 and its inorganic selenium-enriched derivative in hybrid sturgeon, focusing on growth performance, immune responses, and intestinal health. A 21-day feeding trial was conducted with four groups: control (CK), L. lactis RDN-1 (R), inorganic selenium-enriched L. lactis RDN-1 (RX), and enrofloxacin (E). All supplemented groups exhibited significantly improved weight gain. The R group attained the highest levels of most essential and total amino acids, whereas the RX group achieved the highest methionine content. In contrast, the E group exhibited significantly lower levels of most amino acids compared to the R and RX groups. The R group suppressed the abundance of Proteobacteria while enriching beneficial genera such as Lactococcus, thereby enhancing functional capacities related to energy metabolism, amino acid biosynthesis, and signal transduction. The RX group promoted Firmicutes and Bradyrhizobium, and exhibited superior functional characteristics in antioxidant capacity and secondary metabolite biosynthesis. Moreover, the RX group down-regulated IL-6, demonstrating a balanced immunomodulatory effect with anti-inflammatory potential. In conclusion, L. lactis RDN-1 and its selenium-enriched derivative represent promising antibiotic alternatives. L. lactis RDN-1 alone offers more comprehensive effects, whereas inorganic selenium supplementation partially impairs its overall performance but achieves more accurate immune regulation. This work provides a scientific foundation for the precise application of L. lactis.
Key Contribution: L. lactis RDN-1 enhances sturgeon growth and intestinal health by modulating the gut microbiota. Although inorganic selenium enrichment attenuates its overall probiotic efficacy, it specifically promotes muscle methionine deposition and enhances antioxidant capacity. These findings provide a theoretical basis for optimizing the safe and synergistic application of selenium with probiotics.

Graphical Abstract

1. Introduction

Sturgeons represent one of the largest, longest-lived, and most ancient extant groups of fish, with an evolutionary history spanning over 200 million years. They are also renowned for their high-quality meat and caviar which possess significant economic value worldwide [1]. In recent years, driven by growing market demand, the scale of sturgeon artificial breeding has expanded rapidly. In particular, China has emerged as the world’s largest producer of farmed sturgeon, with production reaching 166,400 tons in 2024, accounting for more than 85% of global output. For example, the hybrid sturgeon (Acipenser baerii ♀ × A. schrenckii ♂) has become a dominant variety due to its rapid growth rate and high adaptability [2]. However, sturgeon aquaculture faces a significant bottleneck due to disease outbreaks and cross-infections, particularly those caused by bacterial pathogens [3]. Antibiotics are commonly used for various purposes ranging from disease control to promoting growth, and the overuse risks the horizontal transfer of antibiotic resistance genes and the rise of multidrug-resistant bacteria [4]. Moreover, antibiotic overuse may disrupt the normal metabolic rhythms, cause intestinal dysbiosis and even degrade meat quality [5]. In this context, developing green, antibiotic-free aquaculture strategies has become an urgent need for the sustainable development of sturgeon farming and protection.
Probiotics enhance intestinal barrier integrity by mediating host–gut microbiota interactions through competitive colonization, metabolite secretion, and immune regulation [6,7]. Among these, lactic acid bacteria (LAB), which ferment carbohydrates to produce lactic acid, exhibit significant advantages in antagonizing pathogenic bacteria, modulating the host gut microbiota, and enhancing immune function [8]. Many LAB strains, such as Lactococcus lactis and Lactobacillus spp., secrete antimicrobial peptides and other secondary metabolites that suppress pathogen growth. These bacteria can also activate Toll-like receptors (TLRs) and Nuclear Factor kappa-B (NF-κB) signaling pathways, thereby enhancing innate immune responses. Furthermore, they promote the production of short-chain fatty acids (SCFAs), which contribute to improved intestinal epithelial barrier function [9,10]. Additionally, substantial evidence indicates a strong correlation between gut microbiota composition and the health quality of aquatic animals [11].
Selenium is an essential trace element playing crucial roles in physiological functions, antioxidant activity, enzymatic active centers, immune enhancement, preservation of subcellular integrity, and stress resistance [12,13]. Studies have shown that dietary selenium supplementation promotes growth, enhances enzyme activity, and improves intestinal histology in Siberian sturgeon (Acipenser baerii) [14]. Notably, the microbial conversion of inorganic selenium into elemental selenium via specific enzyme systems offers advantages such as low toxicity and high bioavailability. For instance, Bacillus subtilis can incorporate selenium into bacterial cells through adsorption and metabolic processes, forming a selenium-enriched probiotic that significantly boosts antioxidant enzyme activities (e.g., SOD, CAT, GPX) in zebrafish (Danio rerio) and modulates gut microbiota structure [15]. Selenium-enriched lactic acid bacteria technology is thus emerging as a promising green strategy in aquaculture. Research indicates that selenium-rich probiotics can reduce intestinal absorption of heavy metals through bio-adsorption and chelation [16], while reinforcing the antioxidant defense system and suppressing oxidative stress-induced apoptosis [17]. However, the application of selenium in conjunction with probiotics involves notable complexities. The efficacy and safety of selenium are critically dependent on its dosage and chemical form. For instance, studies have shown that Se(IV) can inhibit the secretion of exopolysaccharides and proteins in Lactiplantibacillus plantarum BSe, thereby impairing cellular integrity [18]. Thus, the advantages and disadvantages of selenium in combination with lactic acid bacteria, as well as its effects on sturgeon, warrant further investigation.
This study investigates the effects of L. lactis RDN-1, a combination of RDN-1/sodium selenite, and enrofloxacin on hybrid sturgeon, with a focus on growth performance, intestinal morphology, amino acid profiles, expression of immune-related genes, as well as gut microbiota structure and function. The objectives of this study are: (1) to elucidate the regulatory roles of L. lactis and inorganic selenium-supplemented preparations in sturgeon growth and quality traits; (2) to identify key microbial taxa and their metabolic pathways associated with growth and quality attributes; and (3) to assess the immunomodulatory mechanisms of probiotics and inorganic selenium supplements in sturgeon. The findings provide a theoretical foundation for optimizing sturgeon health in aquaculture systems and advancing the targeted application of probiotic strategies.

2. Materials and Methods

2.1. Fish Collection and Culture

A total of 400 hybrid sturgeons (Acipenser baerii ♀ × A. schrenckii ♂), with an average body weight of 12.95 ± 0.45 g, were obtained from a commercial fish farm in Linqu, Shandong Province, China. Prior to the experiment, the fish were acclimatized for 14 days in a recirculating aquaculture system equipped with circular tanks (height: 100 cm, diameter: 105 cm) under controlled conditions. The feeding trial comprised four dietary treatments: a basal diet supplemented with L. lactis RDN-1 (R group), a basal diet supplemented with RDN-1 and sodium selenite (RX group), a basal diet supplemented with enrofloxacin (E group), and a control group (CK) fed the basal diet without any supplements. Each treatment was randomly assigned to three replicative tanks with 30 fish in each tank. The experiment lasted for 21 days. Fish were fed three times daily at a ration of 2% of body weight, and any uneaten feed was promptly removed to maintain water quality. Approximately 30% of the tank water was exchanged every two days. Throughout the experiment, water quality parameters were monitored daily using a multi-parameter water quality meter (556 MPS, YSI Inc., Yellow Springs, OH, USA). Water temperature was maintained from 17 to 20 °C, dissolved oxygen ranged from 5.9 to 8.2 mg/L, and pH varied from 7.8 to 8.2.

2.2. Bacterial Strains

The L. lactis RDN-1 strain was obtained from the laboratory stock culture. Bacteria were cultured in MRS Broth (MRS; Qingdao Hope Biotech, Qingdao, China) at 37 °C until reaching a concentration of 1.0 × 108 CFU/mL. Cells were harvested by centrifugation at 8000× g for 10 min at 4 °C using a high-speed refrigerated centrifuge (Versati T1000R, ESCO, Friedberg, Germany). The supernatant was discarded, and the pellet was washed twice by resuspension in an equal volume of phosphate-buffered saline (PBS; 136 mM NaCl, 2.6 mM KCl, 8 mM Na2HPO4, 2 mM KH2PO4, pH 7.2, Qingdao Hope Biotech, Qingdao, China) followed by centrifugation under the same conditions. The final pellet was resuspended in 1 mL PBS to obtain a concentrated bacterial suspension.
For inorganic selenium enrichment, a sodium selenite stock solution (100 μg/mL, Qingdao Hope Biotech, Qingdao, China) was prepared by dissolving 1 g of the compound in 10 mL of distilled water. After autoclaving, the sterile stock solution was added to MRS medium to achieve a final sodium selenite concentration of 10 μg/mL. RDN-1 was inoculated into the inorganic selenium-supplemented medium and incubated at 37 °C for 12 h. Inorganic selenium-supplemented bacteria were then collected by centrifugation as described above. To confirm inorganic selenium supplementation, the bacterial preparations were analyzed using transmission electron microscopy (TEM, JEOL Ltd., Tokyo, Japan) coupled with energy-dispersive X-ray spectroscopy (EDS). Images were acquired using a digital image acquisition system (Olympus Corporation, Tokyo, Japan).

2.3. Feed Preparation

Commercial feeds specially formulated for sturgeon (Qingdao Qihao Nutrition Technology, Qingdao, China) were used, and the ingredients are composed of fish meal, soybean meal, cottonseed meal, peanut meal, fish soluble, fish oil, soybean oil, amino acids, vitamins, and mineral premixes, and a proximate composition of 44% crude protein, 14% crude fat, 6% crude fiber, 16% crude ash, and 12% moisture. For the probiotic-treated groups, the prepared suspensions of L. lactis and inorganic selenium-supplemented L. lactis were evenly sprayed onto the feed to reach a final bacterial concentration of 1.0 × 107 CFU/g, which was quantified via the plate counting method. For the antibiotic-treated group, feed was coated with a solution of enrofloxacin powder (Jiangsu Xinghai Biotechnology, Dongtai, China) dissolved in PBS to achieve an active enrofloxacin dose of 20 mg/kg fish body weight daily, a routine prophylactic dosage in fish farming. All coated feed samples were air-dried at ambient temperature (23.0 ± 1.0 °C) using an electric fan, prepared within 24 h prior to feeding and administered fresh without prolonged storage.

2.4. Sampling

Samples were collected on days 0, 7, 14, and 21 of the experimental period. At each sampling point, nine sturgeons were taken from each treatment group, with three fish randomly selected from each replicate tank and pooled to form one biological sample per replicate. The fish were anesthetized using 200 mg/L MS-222 (3-Aminobenzoic acid ethyl ester methanesulfonate, Shanghai Aladdin Biochemical Technology, Shanghai, China) before processing. Growth parameters were measured for individual fish specimens, whereas pooled fish samples were used for gut microbiota, gene expression and amino acid profiles. Body weight was measured using an electronic balance (BSA223S, Sartorius Lab Instruments, Göttingen, Germany) to assess growth performance, including weight gain and specific growth rate. The hindgut of fish per replicate tank was dissected and placed in a centrifuge tube containing 4% paraformaldehyde (PFA) fixative (Biosharp, Hefei, China), then stored at 4 °C. For molecular analyses, the body surface was disinfected with 75% ethanol before dissection. Tissue samples including intestine, liver, spleen and kidney were aseptically collected into sterile cryovials, immediately frozen in liquid nitrogen, and stored at −80 °C until further analysis. These samples were subsequently used for 16S rRNA gene-based gut microbiota sequencing and quantitative real-time PCR assays.

2.5. Intestinal Histomorphology of Sturgeon

Intestinal samples were collected from sturgeon and fixed in 4% formaldehyde solution (Beijing Baisha Reagent, Beijing, China). Subsequently, the samples were dehydrated through a graded ethanol series (70%, 80%, 90%, and 100%), with each step lasting 1–2 h to ensure complete water replacement. Following dehydration, the tissues were cleared in xylene (Sinopharm Chemical Reagent, Shanghai, China) to remove residual ethanol and adjust the refractive index of the tissue to match that of paraffin. The samples were then infiltrated with paraffin in a constant-temperature oven (Shanghai Yiheng Scientific Instrument, Shanghai, China) at 60 °C to allow uniform penetration into the tissue. The infiltrated tissues were embedded in paraffin blocks, sectioned at 4–6 μm thickness using a Leica RM 2135 rotary microtome (Leica Biosystems, Wetzlar, Germany), and stained with haematoxylin and eosin (H&E). The sections were mounted on glass slides, dried, and subsequently stained for histological observation. All slides were observed under a ZEISS Lab.A1 microscope (Zeiss, Jena, Germany), and images were captured by a Zeiss Axiocam 305 color microscope camera (Zeiss, Jena, Germany).

2.6. Analysis of Gut Microbiota

Intestinal samples underwent 16S rRNA gene sequence analysis at Novogene China Ltd. (Beijing, China) with the company’s standard laboratory reagents. Genomic DNA was extracted from intestinal microbiome samples using the CTAB method. Samples were lysed with CTAB buffer containing lysozyme, incubated at 65 °C, and centrifuged, and the supernatant was sequentially extracted with phenol-chloroform-isoamyl alcohol (25:24:1) and chloroform-isoamyl alcohol (24:1). DNA was precipitated with isopropanol at −20 °C, washed with 75% ethanol, re-dissolved in ddH2O, and RNA contamination was removed via treatment with 1 μL RNase A at 37 °C. The 16S rRNA V3-V4 region was amplified using primers (F: CCTAYGGGRBGCASCAG; R: GGACTACNNGGGTATCTAAT). Genomic libraries were constructed with the TruSeq® DNA PCR-Free Kit; library quality was assessed via Qubit 3.0 and Q-PCR prior to NovaSeq 6000 sequencing. On average, each sample yielded 102,000 raw paired-end reads, and 92,500 high-quality non-chimeric effective tags were retained after strict quality filtering. Filtering criteria: minimum read length ≥ 50 bp, base quality Q ≥ 20, paired-end overlapping length ≥ 10 bp for merging. All samples achieved high sequencing reliability with Q20 > 98% and Q30 > 95%. Raw sequencing reads were assembled with Flash v1.2.7 [19], quality-controlled with Fastp v0.23.1 [20], and chimeric sequences were removed using VSEARCH v2.16.0. Clean reads were clustered into operational taxonomic units (OTUs) at a 97% sequence similarity threshold using Uparse v7.0.1001 [21]. This 97% cutoff is a well-recognized standard for aquatic prokaryotic species classification, ensuring accurate and reliable microbial taxonomic identification. OTU taxonomic annotation was performed against the SILVA138 SSUrRNA database [22]. Prior to diversity calculation, OTU tables were rarefied to the minimum sequencing depth across all samples for uniform normalization. All samples were processed in a single experimental batch, so no batch-effect correction was required. QIIME v1.9.1 was used for sequence filtering, species annotation, and calculation of alpha diversity indices (Chao1, ACE, Shannon, Simpson, and Goods_coverage) to assess microbial community richness, evenness and sequencing adequacy. One-way ANOVA combined with Duncan’s multiple-range test was used for statistical analysis of alpha diversity among groups. For microbial relative abundance comparison, Bray-Curtis distance-based beta diversity was calculated, and ANOSIM and Adonis analyses (999 permutations) were performed to verify intergroup differences in microbial community structure. PCoA analysis and visualization were conducted in R v2.15.3 with WGCNA, stats, and ggplot2 packages. Differential microbial biomarkers were identified via LEfSe analysis with a threshold of LDA = 3.0 and p < 0.05. Microbial community functions were predicted using PICRUSt v1.1.4 with KEGG database annotation.

2.7. Expression of Immune-Related Genes

Total RNA was extracted from liver, spleen, and kidney tissues of sturgeon using the SPARKeasy Tissue RNA Extraction Kit (Shandong Sparkjade Biotechnology Co., Ltd., Jinan, China). Subsequently, the extracted RNA was reverse-transcribed into cDNA using the SPARKscript II RT Plus Kit (With gDNA Eraser) (Shandong Sparkjade Biotechnology Co., Ltd., Jinan, China). A quantitative PCR reaction system with a volume of 10 μL was prepared using SYBR Green-based reagents. The primer sequences for NF-κB, IL-6, TLR1 and the internal reference gene β-actin were presented in Table 1. RT-qPCR was performed using the 2 × SYBR Green qPCR Mix (Shandong Sparkjade Biotechnology Co., Ltd. Jinan, China) on a LightCycler® 96 System (Roche, Basel, Switzerland). The thermal cycling conditions were set as follows: initial denaturation at 95.0 °C for 30 s, followed by 40 cycles of denaturation at 95.0 °C for 5 s and annealing/extension at 60.0 °C for 30 s. All reactions were conducted in triplicate to ensure reproducibility. The relative gene expression levels were calculated using the 2−ΔΔCT method.

2.8. Data Analysis

Data analysis was performed using IBM SPSS software (Version 26). Prior to analysis, the Shapiro-Wilk test was used for normality testing and Levene’s test was applied to verify the homogeneity of variances. Comparisons among different groups were conducted by one-way ANOVA, followed by Duncan’s test for multiple comparison correction. Differences were considered statistically significant at p < 0.05. Data are presented as mean ± standard deviation (SD, n = 3).

3. Results

3.1. Inorganic Selenium Supplementation in RDN-1

TEM revealed the intracellular accumulation of inorganic selenium (Se) in strain RDN-1 (Figure 1). Compared to the control, RDN-1 grown in sodium selenite-supplemented medium exhibited an markedly reduced growth rate and impaired cellular integrity. EDS analysis revealed substantial extracellular Se deposition, yet it also confirmed that RDN-1 was capable of biotransforming sodium selenite and sequestering Se intracellularly, with 2.62 wt% Se detected in the dry biomass (Table 2).

3.2. Growth Performance

The weight gain and specific growth rate of sturgeons in all treatment groups were significantly higher than those in the control group (p < 0.05) (Figure 2). Specifically, both the R and RX groups exhibited increased weight gain and specific growth rates compared to the CK group (p < 0.05), although no significant difference was observed between the R and RX groups. Notably, the E group demonstrated the highest values in both weight gain and specific growth rate among all groups. The increases were significantly greater than those in the control group (p < 0.05), and the specific growth rate in the E group showed highly significant differences (p < 0.05) compared to the CK, R, and RX groups.

3.3. Intestinal Histological Observation

The overall integrity of the intestinal wall and villus structure in the RX group was superior to that of the E group but inferior to the R group (Figure 3). Compared to the CK group, the R group showed a significant increase in intestinal villus height (p < 0.05), and exhibited a thickened mucosal layer, well-defined and tightly arranged crypt structures, and intact villus surfaces without evident inflammation or sloughing (Figure 3B,G,L). The RX group showed increased intestinal wall thickness relative to the CK group, with enhanced villus length and width at later stages (p < 0.05) (Figure 3C,H,M). Focal mild vacuolation of epithelial cells was observed in some regions. Notably, in comparison with the CK group, the E group had significantly reduced intestinal wall thickness, villus width, and thickness (p < 0.05), along with obvious villus atrophy, thinning of the mucosal layer, disorganized crypt architecture, and localized inflammatory cell infiltration (Figure 3E,I,N).

3.4. Amino Acid Content in Sturgeon Muscle

After 21 days of feeding, the majority of amino acids levels in sturgeon muscle from group R were significantly higher than those in the other groups (Figure 4). In group RX, the levels of leucine, phenylalanine, lysine, histidine, aspartic acid, glutamic acid, glycine, and serine were significantly higher than those in groups CK and E (p < 0.05), but generally lower than those in group R. Notably, the total content of essential amino acids, semi-essential amino acids, and total amino acids in group E were significantly lower than those in groups R and RX (p < 0.05). Furthermore, the contents of certain amino acids in group E, such as isoleucine, leucine, methionine, valine, and aspartic acid, were even lower than those in the control group (p < 0.05).

3.5. Diversity and Structure of Intestinal Microbiota

Regarding alpha diversity (Simpson and Shannon indices), group R exhibited an initial (7 day) decrease followed by recovery at the later time point (21 day) (Figure 5A,B). The RX group displayed a consistent decreasing trend over time. Conversely, group E maintained relatively stable diversity early on but decreased significantly afterward. By day 21, group R maintained stable diversity and restored richness, whereas the E group exhibited an obvious decline in both richness and evenness. The microbial richness (Chao1 index) of the R group increased at the early stage (7 days) and then stabilized in the later phase (21 days) (Figure 5C). In contrast, both the RX and E groups exhibited an initial increase followed by a decline in richness at the later time point. Notably, outliers were observed in the E group, suggesting considerable variation in richness measurements.
Dilution curves (Figure 6A) and species accumulation curves (Figure 6B) indicated satisfactory sequencing depth and sample adequacy, supporting the reliability of the data in representing the natural structure of the intestinal microbial community. At the phylum level, the dominant taxa in sturgeon intestine included Proteobacteria, Cyanobacteria, Actinobacteria, Firmicutes, and Bacteroidetes. The intestinal microbiota underwent significant successional changes when subjected to external interference. Specifically, in the R group, the relative abundance of Proteobacteria was consistently lower, while that of Firmicutes was higher than CK throughout the experiment. Bacteroidetes showed a decrease on day 7, but increased on days 14 and 21. Cyanobacteria increased on days 7 and 14, but returned to near baseline by day 21. In RX group, the relative abundance of Proteobacteria remained lower than that of the CK group across all time points, whereas Firmicutes was significantly higher on days 7 and 21, and Bacteroidetes was lower on these days. Actinobacteria decreased initially on day 7 and increased on days 14 and 21. In E group, the abundance of Proteobacteria was elevated on days 7 and 14 compared to CK. Firmicutes increased on days 7 and 21, while Bacteroidetes decreased on the same days. Cyanobacteria remained lower than CK throughout the sampling period, and Actinobacteria was obviously reduced on days 7 and 14.

3.6. LEfSe Analysis of Differential Microbiota

LEfSe analysis revealed significant alterations in the intestinal microbiota composition across treatment groups compared to the control (CK) (Figure 7). In R group, on day 7, the relative abundances of Lactococcus, Xanthomonadales, and Nocardioides were significantly increased, whereas Methylobacterium, Enterobacterales, Bacillus, Corynebacterium, Alphaproteobacteria, Caulobacteraceae, and Fusobacterium were markedly reduced (p < 0.05). On day 14, enrichment was observed in Cyanobacteria, Aerococcaceae, Rickettsiales, Myxococcota, Polyangiales, and Methylobacterium, while Patescibacteria and Romboutsia were significantly decreased (p < 0.05). On day 21, Clostridia, Lachnospirales, Lactobacillales, Streptococcus, and Sphingomonas showed notable increases, whereas Nocardiopsis, Streptosporangiales, Stenotrophomonas, and Corynebacterium were significantly reduced. In RX group, on day 7, a significant decrease was detected in Fusobacterium (p < 0.05). On day 14, Vicinamibacteria and Rickettsiales were enriched, while Rhizobiales, Streptococcaceae, and Bacillus were significantly decreased (p < 0.05). On day 21, Bradyrhizobium and Phreatobacter were significantly increased, whereas Cyanobacteria, Enterobacterales, Moraxellaceae, Acinetobacter, Peptostreptococcales, and Stenotrophomonas were notably reduced (p < 0.05). In E group, on day 7, multiple taxa were significantly enriched (p < 0.05), including Burkholderiales, Xanthomonadaceae, Sphingobacteriales, Oxalobacteraceae, Moraxellaceae, Comamonadaceae, Enterococcus, Acinetobacter, Massilia, Acidovorax, and Psychrobacter. On day 14, Spirosomaceae was significantly increased (p < 0.05), while Peptostreptococcaceae, Romboutsia, and Bacillus were decreased. On day 21, Rhodobacter was significantly enriched (p < 0.05), whereas Burkholderiales, Enterobacterales, Thermoactinomyces, Pseudonocardiales, Streptosporangiales, Methylobacterium, Saccharopolyspora, Nocardiopsis, and Clostridium showed significant reductions (p < 0.05).

3.7. Intestinal Microbiota Metabolic Pathways

Based on the KEGG pathways, metabolic pathway functions of the gut microbiota were predicted via PICRUSt analysis (Figure 8). After 7 days of feeding, the R group exhibited significantly enhanced pyruvate metabolism pathways, while bacterial motility protein pathways were remarkably down-regulated (p < 0.05); the RX group showed significantly up-regulated pathways associated with replication, recombination, and repair proteins; the E group displayed significant down-regulation in the arginine and proline metabolic pathways (p < 0.05).
After 14 days of feeding, the R group presented significant up-regulation in pathways of chaperone and folding catalysts, peptidases, and oxidative phosphorylation (p < 0.05). Concomitantly, pathways involved in fatty acid metabolism, butyrate metabolism, propionate metabolism, glycine-serine-threonine metabolism, ABC transporters, and valine-leucine-isoleucine degradation were notably down-regulated (p < 0.05). For the RX group, pathways related to ribosomal biosynthesis, amino acid-related enzymes, aminoacyl-tRNA synthesis, amino sugar and nucleotide sugar metabolism, as well as arginine, proline, tryptophan, aspartic acid, and glutamic acid metabolism, and DNA repair and recombination proteins (along with glycolysis/gluconeogenesis pathways) were upregulated (p < 0.05). Conversely, pathways of fatty acid metabolism, butyrate metabolism, propionate metabolism, pyruvate metabolism, valine–leucine–isoleucine degradation, bacterial motility proteins, and the two-component signaling system were down-regulated (p < 0.05). In the E group, the bacterial motility protein pathway was up-regulated, whereas pathways of amino sugar and nucleotide sugar metabolism, purine metabolism, and glycolysis/gluconeogenesis were down-regulated (p < 0.05).
Following 21 days of feeding, the R group showed up-regulation in pathways including alanine–aspartate–glutamate metabolism, glycolysis/gluconeogenesis, ribosomal biosynthesis, aminoacyl-tRNA synthesis, amino sugar and nucleotide sugar metabolism, and DNA repair and recombination proteins. In contrast, ion-coupled transporters, bacterial motility proteins, and two-component secretion system pathways were down-regulated (p < 0.05). In the RX group, glycolysis/gluconeogenesis, fatty acid metabolism, butyrate metabolism, propionate metabolism, and valine–leucine–isoleucine degradation pathways were significantly up-regulated. However, pathways related to ribosomal biosynthesis, oxidative phosphorylation, ion-coupled transporters, bacterial motility proteins, and two-component secretion systems were down-regulated (p < 0.05). For the E group, pathways such as ABC transporters, ribosomal biosynthesis, amino acid-related enzymes, aminoacyl-tRNA synthesis, DNA repair and recombination proteins, ribosomes, amino sugar and nucleoside sugar metabolism, purine metabolism, pyrimidine metabolism, arginine and proline metabolism, glycolysis/gluconeogenesis, and alanine-aspartate-glutamate metabolism were up-regulated. Meanwhile, ion-coupled transporters, bacterial motor proteins, and two-component secretion system pathways were down-regulated (p < 0.05).

3.8. Correlation Analysis Between Intestinal Microbiota and Amino Acids

Analysis of gut microbiota-muscle amino acid correlations identified key bacterial contributors (Figure 9). Streptococcus and Sphingomonas showed a broad-spectrum significant positive association with most amino acids (p < 0.05), whereas Lactobacillales and Clostridia were specifically significantly correlated with glycine and proline (p < 0.05). Methionine accumulation was significantly positively associated with Streptosporangiales, Nocardiopsaceae, and Nocardiopsis, genera which were significantly negatively correlated with glycine and proline (p < 0.05).

3.9. The Expression of Immune-Related Genes

The relative expression levels of immune-related genes (TLR1, NF-κB, and IL-6) in the liver, spleen, and kidney are shown in Figure 10. After 14 days of feeding, in the liver, IL-6 and NF-κB expression were significantly up-regulated in the R group (p < 0.05), whereas no significant change in IL-6 was observed in the RX or E groups. TLR1 expression was significantly elevated in the R and RX groups, but unchanged in the E group. In the spleen, IL-6 and NF-κB expression were significantly lower in the RX group than in the CK group (p < 0.05), while the E group showed significantly higher NF-κB expression compared to all other groups. TLR1 expression was significantly increased in the R group; it did not differ significantly between the RX and CK groups but was higher than in the E group. In the kidney, IL-6 expression was significantly increased in the E group (p < 0.05), while no significant differences were detected in the R and RX groups compared with the CK group. NF-κB expression was lower in all treatment groups than in the control, and TLR1 expression did not differ significantly among groups.
After 21 days of feeding, the liver showed particular sensitivity to E treatment, displaying marked up-regulation of inflammatory genes. In contrast, renal responses were relatively moderate, with an earlier down-regulation trend observed (e.g., NF-κB was generally down-regulated by day 14). In the spleen, the R group showed highly significant elevation in the expression of IL-6, NF-κB, and TLR1 (p < 0.05), with no significant changes in the other groups. Overall, the spleen exhibited the most pronounced and consistent response to R treatment, with all three genes being significantly up-regulated after 21 days. In the kidney, expression of IL-6, NF-κB, and TLR1 was significantly decreased in the R and E groups (p < 0.05), but significantly increased in the RX group. In the liver, IL-6 expression was significantly reduced in the R and RX groups, whereas NF-κB was significantly up-regulated (p < 0.05); TLR1 remained unchanged. In contrast, the E group exhibited highly significant up-regulation of all three genes (p < 0.05).

4. Discussion

In this study, dietary L. lactis, inorganic selenium enriched L. lactis, and enrofloxacin all significantly improved the growth performance of sturgeon compared to the control. The significant growth enhancement in the R and RX groups indicates that L. lactis can improve feed utilization. Notably, the superior growth promotion observed in the E group highlights the immediate effectiveness of antibiotics. However, this approach raises concerns regarding sustainable aquaculture practices, including antibiotic residue, microbial resistance, and long-term health impacts on fish [23,24,25].
In this study, sturgeon in the R group exhibited notably higher levels of most amino acids compared to other groups, suggesting that probiotics may enhance amino acid accumulation by modulating the gut microbiota and improving nutrient absorption efficiency. In the RX group, although most amino acid levels were intermediate between the R and CK groups, methionine content was significantly higher than that in the R group. Notably, RDN-1 also exhibits the ability to biotransform selenium, while electron microscopy analysis revealed a significant decrease in the concentration of L. lactis. It should be noted that high selenium concentrations may also exert cytotoxic effects on lactic acid bacteria, compromising cell viability and ultimately reducing their probiotic efficacy. Further research is warranted to optimize the selenium concentration and the cultivation duration. Thus, RDN-1 likely directly biotransformed sodium selenite into selenomethionine, which was subsequently absorbed by the intestine, specifically modulating methionine metabolism in sturgeon and thereby altering muscle methionine composition [26]. In contrast, the E group showed significantly lower levels of total essential amino acids, semi-essential amino acids, and total amino acids compared to the R and RX groups, with some values even falling below those of the CK group. These results imply that although antibiotic use may lead to short-term growth improvements, it could negatively affect amino acid deposition, likely through disruption of intestinal microbial balance and impairment of amino acid absorption and metabolism.
Significant differences in intestinal morphology were observed among the treatment groups. Sturgeon in the R group exhibited pronounced structural improvements, including increased intestinal villus height and width. These findings align with previous studies on L. lactis, which reported similar enhancements in villus architecture in rainbow trout, thereby improving digestive efficiency [27,28]. The RX group showed moderate morphological improvements, with overall structural integrity superior to that of the E group. However, focal mild vacuolization of epithelial cells was detected in some regions, possibly due to the cytotoxic effects of inorganic selenium [29,30]. In contrast, the E group showed marked pathological alterations, characterized by significant reductions in intestinal wall thickness, villus width and height, severe villus atrophy, thinning of the mucosal layer, disorganized crypt structures, and localized inflammatory cell infiltration. Although substantial weight gain was recorded in this group, the intestinal degeneration indicates that the growth-promoting effect of enrofloxacin may stem from short-term metabolic stimulation rather than sustainable health benefits.
Gut microbiota serves as a crucial biological barrier for maintaining intestinal health in fish [31,32]. In this study, microbial analysis revealed that all treatment groups exhibited temporal succession of gut microbiota, with rapid changes at the early stage (7 days), followed by distinct microbial responses at the mid (14 days) and late (21 days) stages. Under probiotic and antibiotic interventions, the metabolic response of the gut microbiota in sturgeon was pronounced initially and gradually stabilized over time, indicating a strong correlation between metabolic functional shifts and microbial structural succession. L. lactis has been reported to inhibit harmful bacteria by secreting bacteriocins such as Nisin and suppressing Proteobacteria via competitive exclusion [33]. In this study, both the R and RX groups established a microbial structure dominated by Firmicutes, which was positively correlated with host amino acid content. Consistent with this, genomic prediction revealed significant up-regulation of energy metabolism and protein synthesis pathways in these groups. Firmicutes are known to enhance carbohydrate degradation capacity by enriching glycolysis and citrate cycle pathways, thereby producing more volatile fatty acids (e.g., propionate) as energy substrates for the host [34]. In the R group, Lactococcus acted as a “pioneer species” at the early stage, inhibiting pathogens such as Fusobacterium. By the mid-stage, Cyanobacteria and Rickettsiales emerged, and the community eventually succeeded to a functional fermentation-type microbiome dominated by Sphingomonas, Streptococcus, and Lactobacillales. This dominant microbial community showed a positive correlation with most amino acids in sturgeon muscle, suggesting that RDN-1 may promote amino acid accumulation by increasing the abundances of Sphingomonas and Streptococcus. The RX group developed a more resilient symbiotic micro-ecology, with increased abundance of Vicinamibacteria and Rickettsiales at the mid-stage, and Bradyrhizobium and Phreatobacter at the late stage. Among these, Bradyrhizobium was associated with citrate production [35], which suggested that selenium supplementation might promote the growth of microbial taxa with specialized metabolic capabilities. Previous studies showed that dietary selenium supplementation, including selenomethionine (Se-Met) and selenium nanoparticles (SeNP), significantly promoted growth performance and antioxidant capacity in grass carp [36], as well as amino acid metabolism (e.g., methionine metabolism) in zebrafish [37]. In contrast, the E group exhibited the potential for proliferation of opportunistic pathogens. Previous studies showed that antibiotic treatment directly eliminated susceptible microbial communities, created ecological niche vacancies, and thereby promoted the proliferation of opportunistic pathogens such as Proteobacteria [38]. This observation was consistent with the abnormal proliferation of Proteobacteria and other negatively correlated taxa observed in the early stage. These proliferating taxa may have consumed dietary amino acids to support their own growth or produce harmful metabolites, rather than facilitating host absorption [39]. Concurrently, amino acid metabolic pathways were suppressed in the early phase. By the mid-stage, beneficial bacteria (e.g., Romboutsia) declined, leading to structural degradation and functional impairment of the microbiota, ultimately failing to support effective host amino acid deposition. Previous studies in tilapia have also documented the adverse effects of long-term antibiotic use on intestinal health, including reduced microbial diversity, enrichment of conditionally pathogenic bacteria, and dysregulation of carbohydrate and lipid metabolism pathways [4]. Moreover, prolonged antibiotic exposure disrupts short-chain fatty acid-mediated cellular signaling, leading to sustained impairment of intestinal mucosal homeostasis [40].
In this study, groups R and RX led to consistent up-regulation of key metabolic pathways across multiple time points, including energy metabolism (e.g., pyruvate metabolism, oxidative phosphorylation, glycolysis), protein synthesis (ribosome biogenesis, aminoacyl-tRNA biosynthesis), and DNA repair. Specifically, energy metabolic pathways such as pyruvate metabolism and oxidative phosphorylation could increase ATP production and biosynthetic flux, which significantly promoted the enhancement of microbial growth [41], while the enhanced DNA repair capacity improved metabolic stability [42]. Notably, the RX group showed a more pronounced enhancement in antioxidant capacity, reflected by the sustained up-regulation of DNA repair pathways at 14 and 21 days, which might be attributed to dietary selenium supplementation boosting the host’s antioxidant defenses. In contrast, the E group displayed a pattern of “metabolic disruption and stress”. Early suppression of arginine and proline metabolism coincided with inhibited microbial growth, while opportunistic pathogens such as Enterococcus proliferated markedly, accompanied by up-regulation of bacterial motility-related pathways, suggesting increased invasive potential. By the later stage, the E group showed broad compensatory up-regulation of pathways such as ABC transporters and amino acid metabolism. This shift represents a stress response under antibiotic pressure, suggesting a potential risk of resistance selection within the altered intestinal microbiota. Similarly, enrofloxacin reduces intestinal lipopolysaccharide (LPS) activity and enhances the competitive advantage of pathogenic bacterial genera, including Aeromonas, Shewanella, and Shigella, in grass carp (Ctenopharyngodon idellus) [43]. Notably, all groups eventually down-regulated bacterial motility and virulence-related pathways by day 21, indicating a general transition toward a more metabolically stable community state. Despite the uniform trend, distinct group differences existed: the R and RX groups ultimately reconstructed a beneficial bacteria-driven metabolic network, whereas the E group might drive persistent compositional and functional alterations shaped by antibiotic selection for resistant taxa. Given that functional profiles were bioinformatically predicted via 16S rRNA, subsequent multi-omics analyses are essential for experimental verification.
The results of immune response indicated that the R group exhibited comprehensive immune-stimulatory effects, particularly at the later stage (21 days), with significant up-regulation of multiple immune genes in the spleen and liver, and such tissue-specific mild upregulation may represent adaptive immune enhancement. Notably, the expression of TLR1 in the R group was 2.3-fold higher than that in the control group (p < 0.05), which was consistent with the findings reported in Siberian sturgeon [44]. Furthermore, similar studies have also demonstrated that feeding the probiotic Chromobacterium aquaticum can activate the expression of innate immune-related genes such as NF-κB and IL-6 in zebrafish [45]; Bacillus siamensis LF4 can significantly activate the TLR2, TLR5, and MyD88 signaling pathways in Lateolabrax maculatus [46]. This indicates that L. lactis may enhance the host’s pathogen recognition ability and defense capacity through the Toll-like receptor signaling pathway. The RX group demonstrated a more complex and tissue-specific immunomodulatory profile. While it promoted gene expression in certain tissues (e.g., kidney at 21 days), it suppressed expression in others (e.g., IL-6 in the liver). This tissue specificity likely stemmed from differences in selenium metabolic pathways: selenium is metabolized by the gut microbiota into various forms (e.g., γ-Glu-SeMet and SeNPs) and then transported via the circulatory system to exert effects different tissues [47], suggesting a fine-tuned regulatory mechanism that may prevent excessive inflammation and contribute to immune balance. Of particular concern, the E group exhibited marked tissue-specific immune disruption. It induced extremely significant up-regulation of IL-6, NF-κB, and TLR1 in the liver at the later stage, where the dramatic upregulation of inflammatory genes indicated an obvious inflammatory stress response. These results align with those of Qiu et al. (2022), who reported that long-term antibiotic use suppressed immune responses in zebrafish, reducing key immune biomarkers such as macrophage and neutrophil counts and increasing susceptibility to infection [48].

5. Conclusions

In this study, L. lactis RDN-1 exhibited superior overall effects compared to its inorganic selenium-supplemented derivative in sturgeon. Specifically, L. lactis suppressed the abundance of Proteobacteria while enriching beneficial genera such as Lactococcus, thereby enhancing functional capacities related to energy metabolism, amino acid biosynthesis, and signal transduction. These shifts facilitated a metabolic reprogramming toward more efficient utilization and deposition of amino acids. In contrast, inorganic selenium supplementation led to inferior overall amino acid deposition, poorer intestinal morphology, and less effective regulation of gut microbiota, likely due to its cytotoxicity to RDN-1. However, inorganic selenium supplementation specifically promoted methionine deposition in muscle, enhanced antioxidant capacity, and stimulated the biosynthesis of secondary metabolites. In contrast, enrofloxacin concurrently induced intestinal barrier impairment, led to microbiota structural deterioration, and caused functional dysbiosis, ultimately compromising host amino acid deposition. These findings provide a scientific foundation for the use of probiotics as a viable alternative to antibiotics in aquafeeds. Future research will focus on optimizing synergistic formulations of probiotics and trace elements, and evaluating the long-term effects of such supplements on disease resistance in fish.

Author Contributions

Conceptualization, Y.R. and A.S.; Methodology, W.R., X.L., K.Y., Q.L., S.R., C.Z. and Y.R.; Validation, C.Z.; Formal Analysis, W.R. and X.L.; Investigation, W.R., X.L., K.Y., Q.L., S.R. and C.Z.; Resources, W.R., X.L. and Y.R.; Data Curation, W.R.; Writing—Original Draft Preparation, W.R. and Y.R.; Writing—Review & Editing, W.R., X.L., Q.L., S.R., C.Z. and Y.R.; Supervision, Y.R.; Project Administration, Y.R.; Funding Acquisition, A.S. and Y.R. All authors have read and agreed to the published version of the manuscript.

Funding

This work was supported by the National Natural Science Foundation of China (No. 32573482), Key R&D Program of Shandong Province (2024LZGC022, 2024CXPT105), Qingdao Science and Technology for Public Welfare Demonstration project (25-1-5-xdny-19-nsh), and Modern Agricultural Industry Technology System in Shandong Province (SDAIT-12-16).

Institutional Review Board Statement

The animal experiments were approved by the Animal Research and Ethics Committees of Qingdao Agricultural University (Approval Code: QAUHY02, Approval Date: 8 June 2023).

Data Availability Statement

The original contributions presented in this study are included in the article. Further inquiries can be directed to the corresponding authors.

Conflicts of Interest

The authors declare no conflicts of interest.

References

  1. Zampirolo, G.; McCarthy, M.L.; Živaljević, I.; Penezić, K.; Vuković, S.; Mladenović, T.; Marković, D.; Marković, N.; Radmanović, D.; Orton, D.; et al. Continuous mitochondrial diversity of Danube sturgeon species over millennia: Insights from ancient DNA. Philos. Trans. R. Soc. Lond. B Biol. Sci. 2025, 380, 20240034. [Google Scholar] [CrossRef] [Scilit] [PubMed]
  2. Wei, Q.; Zou, Y.; Li, P.; Li, L. Sturgeon aquaculture in China: Progress, strategies and prospects assessed on the basis of nation-wide surveys (2007–2009). J. Appl. Ichthyol. 2011, 27, 162–168. [Google Scholar] [CrossRef] [Scilit]
  3. Yang, Y.; Xu, S.; He, H.; Zhu, X.; Liu, Y.; Ai, X.; Chen, Y. Mechanism of sturgeon intestinal inflammation induced by Yersinia ruckeri and the effect of florfenicol intervention. Ecotoxicol. Environ. Saf. 2024, 273, 116138. [Google Scholar] [CrossRef] [Scilit]
  4. Limbu, S.M.; Zhou, L.; Sun, S.X.; Zhang, M.L.; Du, Z.Y. Chronic exposure to low environmental concentrations and legal aquaculture doses of antibiotics cause systemic adverse effects in Nile tilapia and provoke differential human health risk. Environ. Int. 2018, 115, 205–219. [Google Scholar] [CrossRef] [Scilit] [PubMed]
  5. Chen, H.; Liu, S.; Xu, X.R.; Diao, Z.H.; Sun, K.F.; Hao, Q.W.; Liu, S.S.; Ying, G.G. Tissue distribution, bioaccumulation characteristics and health risk of antibiotics in cultured fish from a typical aquaculture area. J. Hazard. Mater. 2018, 343, 140–148. [Google Scholar] [CrossRef] [Scilit]
  6. Lee, C.G.; Cha, K.H.; Kim, G.C.; Im, S.H.; Kwon, H.K. Exploring probiotic effector molecules and their mode of action in gut-immune interactions. FEMS Microbiol. Rev. 2023, 47, fuad046. [Google Scholar] [CrossRef] [Scilit]
  7. Carolak, E.; Czajkowska, J.; Stypułkowska, A.; Waszczuk, W.; Dutkiewicz, A.; Grzymajlo, K. Being a better version of yourself: Genetically engineered probiotic bacteria as host defense enhancers in the control of intestinal pathogens. Gut Microbes 2025, 17, 2519696. [Google Scholar] [CrossRef] [Scilit]
  8. Nayak, S.K. Probiotics and immunity: A fish perspective. Fish Shellfish Immunol. 2010, 29, 2–14. [Google Scholar] [CrossRef] [Scilit]
  9. Guo, W.L.; Mao, B.Y.; Tang, X.; Zhang, Q.X.; Zhao, J.X.; Zhang, H.; Chen, W.; Cui, S.M. Improvement of inflammatory bowel disease by lactic acid bacteria-derived metabolites: A review. Crit. Rev. Food Sci. 2025, 65, 1261–1278. [Google Scholar] [CrossRef] [Scilit]
  10. El-Saadony, M.T.; Alagawany, M.; Patra, A.K.; Kar, I.; Tiwari, R.; Dawood, M.A.O.; Dhama, K.; Abdel-Latif, H.M.R. The functionality of probiotics in aquaculture: An overview. Fish Shellfish Immunol. 2021, 117, 36–52. [Google Scholar] [CrossRef] [Scilit]
  11. Koyun, O.Y.; Callaway, T.R.; Nisbet, D.J.; Anderson, R.C. Innovative Treatments Enhancing the Functionality of Gut Microbiota to Improve Quality and Microbiological Safety of Foods of Animal Origin. Annu. Rev. Food Sci. Technol. 2022, 13, 433–461. [Google Scholar] [CrossRef] [Scilit]
  12. Ye, R.; Huang, J.; Wang, Z.; Chen, Y.; Dong, Y. The Role and Mechanism of Essential Selenoproteins for Homeostasis. Antioxidants 2022, 11, 973. [Google Scholar] [CrossRef] [Scilit]
  13. Huang, Q.; Liu, Z.; Yang, Y.; Yang, Y.; Huang, T.; Hong, Y.; Zhang, J.; Chen, Q.; Zhao, T.; Xiao, Z.; et al. Selenium Nanodots (SENDs) as Antioxidants and Antioxidant-Prodrugs to Rescue Islet β Cells in Type 2 Diabetes Mellitus by Restoring Mitophagy and Alleviating Endoplasmic Reticulum Stress. Adv. Sci. 2023, 10, e2300880. [Google Scholar] [CrossRef] [Scilit]
  14. Sarami Foroshani, N.; Rajabi Islami, H.; Mousavi, S.; Khara, H.; Yousefi Siahkalroodi, S. Supplementation of juvenile Siberian sturgeon (Acipenser baerii) diet with different levels of selenium: Growth performance, digestive enzyme activities, and intestinal histomorphology. Aquac. Rep. 2024, 38, 102325. [Google Scholar] [CrossRef] [Scilit]
  15. Anwar, Z.; Ye, C.; Wang, M.; Zeng, S.; Gao, M.; Guo, S.; Kakakhel, M.A.; Hu, B.; Zhao, G.; Hong, Y. Effects of dietary selenium on growth performance, antioxidant status, and gut microbial diversity of zebrafish (Danio rerio). Aquac. Rep. 2024, 37, 102276. [Google Scholar] [CrossRef] [Scilit]
  16. Shang, X.; Geng, L.; Zhao, Z.; Luo, L.; Shi, X.; Zhang, Q.; Du, R.; Cong, Y.; Xu, W. Transcriptomics reveals the mechanism of selenium-enriched Lactobacillus plantarum alleviating brain oxidative stress under cadmium stress in Luciobarbus capito. Ecotoxicol. Environ. Saf. 2022, 242, 113890. [Google Scholar] [CrossRef] [Scilit] [PubMed]
  17. Jiao, X.; Wang, N.; Guo, L.; Guo, Z.-Y.; Hou, X.-W.; Lu, Y.-Q.; Yao, B.-L.; Sun, J.; Li, Y.-H. Metabolomics profile of selenium-enriched Bacillus subtilis alleviating perfluorohexanoic acid-induced brain damage in Carassius auratus and its response to the intestinal microbial community. Aquaculture 2024, 589, 740947. [Google Scholar] [CrossRef] [Scilit]
  18. Zhong, B.; Xu, W.J.; Ming, G.; Wei, X.; Xiao, H.Y.; Wang, Z.Q. Molecular mechanisms of selenite reduction by Lactiplantibacillus plantarum BSe: An integrated genomic and transcriptomic analysis. J. Hazard. Mater. 2024, 468, 133850. [Google Scholar] [CrossRef] [Scilit]
  19. Magoc, T.; Salzberg, S.L. FLASH: Fast length adjustment of short reads to improve genome assemblies. Bioinformatics 2011, 27, 2957–2963. [Google Scholar] [CrossRef] [Scilit]
  20. Bokulich, N.A.; Subramanian, S.; Faith, J.J.; Gevers, D.; Gordon, J.I.; Knight, R.; Mills, D.A.; Caporaso, J.G. Quality-filtering vastly improves diversity estimates from Illumina amplicon sequencing. Nat. Methods 2013, 10, 57–59. [Google Scholar] [CrossRef] [Scilit]
  21. Edgar, R.C. UPARSE: Highly accurate OTU sequences from microbial amplicon reads. Nat. Methods 2013, 10, 996–998. [Google Scholar] [CrossRef] [Scilit] [PubMed]
  22. Quast, C.; Pruesse, E.; Yilmaz, P.; Gerken, J.; Schweer, T.; Yarza, P.; Peplies, J.; Glockner, F.O. The SILVA ribosomal RNA gene database project: Improved data processing and web-based tools. Nucleic Acids Res. 2013, 41, D590–D596. [Google Scholar] [CrossRef] [Scilit]
  23. Zhao, C.; Guo, G.; Li, Z.; Chen, J.; Ren, Y. Effects of probiotics (Bacillus coagulans) supplementation after antibiotic administration on growth, immunity, and intestinal microflora in turbot Scophthalmus maximus. Aquac. Int. 2024, 32, 1473–1491. [Google Scholar] [CrossRef] [Scilit]
  24. Su, H.C.; Duan, S.J.; Hu, X.J.; Xu, W.J.; Xu, Y.; Wen, G.L.; Cao, Y.C. Spatiotemporal dynamics, bioaccumulation, and critical influencing factors of antibiotics in tilapia aquaculture: A study on source identification and environmental fate within typical farming systems. J. Hazard. Mater. 2024, 477, 135328. [Google Scholar] [CrossRef] [Scilit]
  25. Murray, A.K.; Stanton, I.; Gaze, W.H.; Snape, J. Dawning of a new ERA: Environmental Risk Assessment of antibiotics and their potential to select for antimicrobial resistance. Water Res. 2021, 200, 117233. [Google Scholar] [CrossRef] [Scilit] [PubMed]
  26. Chen, H.; Wang, X.; Yue, Y.; Wang, X.; Zeng, X.; Guo, Q.; Yan, X.; Du, G.; Yuan, Y.; Yue, T. Enrichment and Distribution of Selenium in Pediococcus acidilactici MRS-7: Impact on Its Biochemical Composition, Microstructure, and Gastrointestinal Survival. J. Agric. Food Chem. 2022, 70, 14877–14885. [Google Scholar] [CrossRef] [Scilit]
  27. Zhao, C.; Men, X.; Dang, Y.; Zhou, Y.; Ren, Y. Probiotics Mediate Intestinal Microbiome and Microbiota-Derived Metabolites Regulating the Growth and Immunity of Rainbow Trout (Oncorhynchus mykiss). Microbiol. Spectr. 2023, 11, e0398022. [Google Scholar] [CrossRef] [Scilit]
  28. Cao, X.; Wang, B.; Ren, W.; Wang, J.; Liu, Q.; Ren, Y.; Meng, X. Mechanism of Ligilactobacillus salivarius GX118 in Regulating the Growth of Rainbow Trout (Oncorhynchus mykiss) and Resistance to Aeromonas salmonicida Infection. Fishes 2024, 9, 157. [Google Scholar] [CrossRef] [Scilit]
  29. Khalil, H.S.; Maulu, S.; Verdegem, M.; Abdel-Tawwab, M. Embracing nanotechnology for selenium application in aquafeeds. Rev. Aquac. 2023, 15, 112–129. [Google Scholar] [CrossRef] [Scilit]
  30. Samara, A.; Herbeth, B.; Ndiaye, N.C.; Fumeron, F.; Billod, S.; Siest, G.; Visvikis-Siest, S. Dairy product consumption, calcium intakes, and metabolic syndrome-related factors over 5 years in the STANISLAS study. Nutrition 2013, 29, 519–524. [Google Scholar] [CrossRef] [Scilit] [PubMed]
  31. Cheng, G.F.; Kong, W.G.; Lin, R.Q.; Jiang, Z.H.; Wang, X.Y.; Qin, X.Y.; Shi, Y.; Yang, P.; Chen, X.Y.; Xia, L.; et al. Multi-omics analysis reveals that Bacillus spp. enhance mucosal antiviral immunity in teleost fish by mediating diglyceride production through lipid metabolism. Microbiome 2025, 13, 123. [Google Scholar] [CrossRef] [Scilit]
  32. Langlois, L.; Akhtar, N.; Tam, K.C.; Dixon, B.; Reid, G. Fishing for the right probiotic: Host-microbe interactions at the interface of effective aquaculture strategies. FEMS Microbiol. Rev. 2021, 45, fuab030. [Google Scholar] [CrossRef] [Scilit]
  33. Zhou, J.C.; Velliou, E.; Hong, S.H. Investigating the effects of nisin and free fatty acid combined treatment on inactivation. Lwt-Food Sci. Technol. 2020, 133, 110115. [Google Scholar] [CrossRef] [Scilit]
  34. Mu, Y.Y.; Qi, W.P.; Zhang, T.; Zhang, J.Y.; Mao, S.Y. Gene function adjustment for carbohydrate metabolism and enrichment of rumen microbiota with antibiotic resistance genes during subacute rumen acidosis induced by a high-grain diet in lactating dairy cows. J. Dairy Sci. 2021, 104, 2087–2105. [Google Scholar] [CrossRef] [Scilit]
  35. Cao, J.; Wang, Q.; Lei, Y.; Jiang, X.; Li, M. Accumulation of microplastics and Tcep pollutants in agricultural soil: Exploring the links between metabolites and gut microbiota in earthworm homeostasis. Environ. Int. 2022, 170, 107590. [Google Scholar] [CrossRef] [Scilit] [PubMed]
  36. Zhu, C.; Wu, Z.; Liu, Q.; Wang, X.; Zheng, L.; He, S.; Yang, F.; Ji, H.; Dong, W. Selenium nanoparticles in aquaculture: Unique advantages in the production of Se-enriched grass carp (Ctenopharyngodon idella). Anim. Nutr. 2024, 16, 189–201. [Google Scholar] [CrossRef] [Scilit] [PubMed]
  37. Liu, H.; Li, X.; Lei, H.; Li, D.; Chen, H.; Schlenk, D.; Yan, B.; Yongju, L.; Xie, L. Dietary Seleno-l-methionine Alters the Microbial Communities and Causes Damage in the Gastrointestinal Tract of Japanese Medaka Oryzias latipes. Environ. Sci. Technol. 2021, 55, 16515–16525. [Google Scholar] [CrossRef] [Scilit] [PubMed]
  38. Penumutchu, S.; Korry, B.J.; Hewlett, K.; Belenky, P. Fiber supplementation protects from antibiotic-induced gut microbiome dysbiosis by modulating gut redox potential. Nat. Commun. 2023, 14, 5161. [Google Scholar] [CrossRef] [Scilit]
  39. Joly, A.; De Vadder, F. Amino acid bites: Microbial snacking influences host metabolism. Cell Host Microbe 2024, 32, 630–632. [Google Scholar] [CrossRef] [Scilit]
  40. Holota, Y.; Dovbynchuk, T.; Kaji, I.; Vareniuk, I.; Dzyubenko, N.; Chervinska, T.; Zakordonets, L.; Stetska, V.; Ostapchenko, L.; Serhiychuk, T.; et al. The long-term consequences of antibiotic therapy: Role of colonic short-chain fatty acids (SCFA) system and intestinal barrier integrity. PLoS ONE 2019, 14, e0220642. [Google Scholar] [CrossRef] [Scilit]
  41. Luengo, A.; Li, Z.; Gui, D.Y.; Sullivan, L.B.; Zagorulya, M.; Do, B.T.; Ferreira, R.; Naamati, A.; Ali, A.; Lewis, C.A.; et al. Increased demand for NAD(+) relative to ATP drives aerobic glycolysis. Mol. Cell 2021, 81, 691–696.e696. [Google Scholar] [CrossRef] [Scilit] [PubMed]
  42. Zhang, X.; Zhang, X.X.; Ma, L. New Horizons in Micro/Nanoplastic-Induced Oxidative Stress: Overlooked Free Radical Contributions and Microbial Metabolic Dysregulations in Anaerobic Digestion. Environ. Sci. Technol. 2024, 58, 21251–21264. [Google Scholar] [CrossRef] [Scilit]
  43. Shi, F.; Huang, Y.; Yang, M.; Lu, Z.; Li, Y.; Zhan, F.; Lin, L.; Qin, Z. Antibiotic-induced alternations in gut microflora are associated with the suppression of immune-related pathways in grass carp (Ctenopharyngodon idellus). Front. Immunol. 2022, 13, 970125. [Google Scholar] [CrossRef] [Scilit] [PubMed]
  44. Ghodrati, M.; Rajabi Islami, H.; Hosseini Shekarabi, S.P.; Shenavar Masouleh, A.; Shamsaie Mehrgan, M. Combined effects of enzymes and probiotics on hemato-biochemical parameters and immunological responses of juvenile Siberian sturgeon (Acipenser baerii). Fish Shellfish Immunol. 2021, 112, 116–124. [Google Scholar] [CrossRef] [Scilit]
  45. Yi, C.C.; Liu, C.H.; Chuang, K.P.; Chang, Y.T.; Hu, S.Y. A potential probiotic Chromobacterium aquaticum with bacteriocin-like activity enhances the expression of indicator genes associated with nutrient metabolism, growth performance and innate immunity against pathogen infections in zebrafish (Danio rerio). Fish Shellfish Immunol. 2019, 93, 124–134. [Google Scholar] [CrossRef] [Scilit]
  46. Liu, Z.Y.; Yang, H.L.; Li, S.; Cai, G.H.; Ye, J.D.; Zhang, C.X.; Sun, Y.Z. Paraprobiotic and postbiotic forms of Bacillus siamensis improved growth, immunity, liver and intestinal health in Lateolabrax maculatus fed soybean meal diet. Fish Shellfish Immunol. 2024, 145, 109370. [Google Scholar] [CrossRef] [Scilit]
  47. Wang, X.; Zhong, Y.; Zhu, Z.; Zhang, N.; Chen, X.; Wang, F.; Wang, L.; Chen, C.; He, J.; Li, S. Gut microbiota: A new perspective for bioavailability of selenium and human health. npj Sci. Food 2025, 9, 228. [Google Scholar] [CrossRef] [Scilit]
  48. Qiu, W.; Liu, T.; Liu, X.; Chen, H.; Luo, S.; Chen, Q.; Magnuson, J.T.; Zheng, C.; Xu, E.G.; Schlenk, D. Enrofloxacin Induces Intestinal Microbiota-Mediated Immunosuppression in Zebrafish. Environ. Sci. Technol. 2024, 56, 8428–8437. [Google Scholar] [CrossRef] [Scilit] [PubMed]
Figure 1. Characterization of selenium enrichment in strain RDN-1 by TEM and EDS. (A,B) Low-magnification TEM (×4000): (A) control; (B) Se-treated cells. (C,D) High-magnification TEM (×25,000): (C) control; (D) Se-treated cells. (E,F) EDS mapping: (E) STEM micrograph (boxes mark selenium-rich regions); (F) Se distribution map. (G) Representative EDS spectrum of the intracellular particles.
Figure 1. Characterization of selenium enrichment in strain RDN-1 by TEM and EDS. (A,B) Low-magnification TEM (×4000): (A) control; (B) Se-treated cells. (C,D) High-magnification TEM (×25,000): (C) control; (D) Se-treated cells. (E,F) EDS mapping: (E) STEM micrograph (boxes mark selenium-rich regions); (F) Se distribution map. (G) Representative EDS spectrum of the intracellular particles.
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Figure 2. Growth performance of sturgeon. (A): Body weight; (B): Specific growth rate (SGR); CK: Control; R: RDN-1 treatment group; RX: RDN-1 and sodium selenite treated group; E: Enrofloxacin treatment group. Statistical significance markers: * p < 0.05, *** p < 0.001, and ns = not significant (p ≥ 0.05).
Figure 2. Growth performance of sturgeon. (A): Body weight; (B): Specific growth rate (SGR); CK: Control; R: RDN-1 treatment group; RX: RDN-1 and sodium selenite treated group; E: Enrofloxacin treatment group. Statistical significance markers: * p < 0.05, *** p < 0.001, and ns = not significant (p ≥ 0.05).
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Figure 3. Histological observation of sturgeon intestinal tissues. CK: Control group; R: L. lactis RND1 treated group; RX: RDN-1 and sodium selenite treated group; E: Enrofloxacin treated group. (AD) 7-day, (FI) 14-day, (KN) 21-day H&E-stained intestinal sections. (E,J,O) Morphometric analysis of intestinal parameters; different lowercase letters (a, b, c, d) denote significant differences (p < 0.05) among groups. Arrows indicate damaged villi. Scale = 20 μm.
Figure 3. Histological observation of sturgeon intestinal tissues. CK: Control group; R: L. lactis RND1 treated group; RX: RDN-1 and sodium selenite treated group; E: Enrofloxacin treated group. (AD) 7-day, (FI) 14-day, (KN) 21-day H&E-stained intestinal sections. (E,J,O) Morphometric analysis of intestinal parameters; different lowercase letters (a, b, c, d) denote significant differences (p < 0.05) among groups. Arrows indicate damaged villi. Scale = 20 μm.
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Figure 4. Muscle amino acid content of sturgeon in different treatment groups. CK: Control group; R: L. lactis RND1 treated group; RX: RDN-1 and sodium selenite treated group; E: Enrofloxacin treated group. (A): Essential amino acids, (B): Semi-essential amino acids, (C): Non-essential amino acids. (D): Total amino acids categories. ILE: Isoleucine, LEU: Leucine, PHE: Phenylalanine, MET: Methionine, VAL: Valine, LYS: Lysine, THR: Threonine, ARG: Arginine, HIS: Histidine, TYR: Tyrosine, ALA: Alanine, ASP: Aspartic acid, CYS: Cysteine, GLU: Glutamic acid, GLY: Glycine, PRO: Proline, SER: Serine. Statistical significance markers: * p < 0.05, ** p < 0.01; ns = not significant (p ≥ 0.05).
Figure 4. Muscle amino acid content of sturgeon in different treatment groups. CK: Control group; R: L. lactis RND1 treated group; RX: RDN-1 and sodium selenite treated group; E: Enrofloxacin treated group. (A): Essential amino acids, (B): Semi-essential amino acids, (C): Non-essential amino acids. (D): Total amino acids categories. ILE: Isoleucine, LEU: Leucine, PHE: Phenylalanine, MET: Methionine, VAL: Valine, LYS: Lysine, THR: Threonine, ARG: Arginine, HIS: Histidine, TYR: Tyrosine, ALA: Alanine, ASP: Aspartic acid, CYS: Cysteine, GLU: Glutamic acid, GLY: Glycine, PRO: Proline, SER: Serine. Statistical significance markers: * p < 0.05, ** p < 0.01; ns = not significant (p ≥ 0.05).
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Figure 5. Alpha diversity of the intestinal microbiota. (A) Simpson indices; (B) Shannon indices; (C) Chao1 indices. CK: Control group; R: L. lactis RND1 treated group; RX: RDN-1 and sodium selenite treated group; E: Enrofloxacin treated group; numbers (7, 14, 21) indicate days post-treatment.
Figure 5. Alpha diversity of the intestinal microbiota. (A) Simpson indices; (B) Shannon indices; (C) Chao1 indices. CK: Control group; R: L. lactis RND1 treated group; RX: RDN-1 and sodium selenite treated group; E: Enrofloxacin treated group; numbers (7, 14, 21) indicate days post-treatment.
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Figure 6. Diversity and classification of intestinal microbiota in sturgeon. (A) Sequence data sparsity curve; (B) Species accumulation curve; (C) Stacked bar chart representing the gut microbiota at the phylum level; (D) Stacked bar chart representing the gut microbiota at the gene level. Each stacked column represents the average relative abundance of three repetitions for each group. CK: Control group; R: L. lactis RND1 treated group; RX: RDN-1 and sodium selenite treated group; E: Enrofloxacin treated group; numbers (7, 14, 21) indicate days post-treatment.
Figure 6. Diversity and classification of intestinal microbiota in sturgeon. (A) Sequence data sparsity curve; (B) Species accumulation curve; (C) Stacked bar chart representing the gut microbiota at the phylum level; (D) Stacked bar chart representing the gut microbiota at the gene level. Each stacked column represents the average relative abundance of three repetitions for each group. CK: Control group; R: L. lactis RND1 treated group; RX: RDN-1 and sodium selenite treated group; E: Enrofloxacin treated group; numbers (7, 14, 21) indicate days post-treatment.
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Figure 7. LEfSe analysis of differential microbial communities. (A): CK7 and R7, (B): CK7 and RX7, (C): CK7 and E7; (D): CK14 and R14, (E): CK14 and RX14, (F): CK14 and E14; (G): CK21 and R21; (H): CK21 and RX21, (I): CK21 and E21. CK: Control group; R: L. lactis RND1 treated group; RX: RDN-1 and sodium selenite treated group; E: Enrofloxacin treated group; numbers (7, 14, 21) indicate days post-treatment.
Figure 7. LEfSe analysis of differential microbial communities. (A): CK7 and R7, (B): CK7 and RX7, (C): CK7 and E7; (D): CK14 and R14, (E): CK14 and RX14, (F): CK14 and E14; (G): CK21 and R21; (H): CK21 and RX21, (I): CK21 and E21. CK: Control group; R: L. lactis RND1 treated group; RX: RDN-1 and sodium selenite treated group; E: Enrofloxacin treated group; numbers (7, 14, 21) indicate days post-treatment.
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Figure 8. Heatmap showing the predicted functional profiles of the intestinal microbiota community. CK: Control group; R: L. lactis RND1 treated group; RX: RDN-1 and sodium selenite treated group; E: Enrofloxacin treated group; numbers (7, 14, 21) indicate days post-treatment.
Figure 8. Heatmap showing the predicted functional profiles of the intestinal microbiota community. CK: Control group; R: L. lactis RND1 treated group; RX: RDN-1 and sodium selenite treated group; E: Enrofloxacin treated group; numbers (7, 14, 21) indicate days post-treatment.
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Figure 9. Heatmap of correlation analysis between intestinal microbiota and amino acids (columns). Statistical significance markers: * p < 0.05, ** p < 0.01.
Figure 9. Heatmap of correlation analysis between intestinal microbiota and amino acids (columns). Statistical significance markers: * p < 0.05, ** p < 0.01.
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Figure 10. Relative expression levels of immune genes. Liver of 14 day (A) and 21 day (D), Spleen of 14 day (B) and 21 day (E), Kidney of 14 day (C) and (F); Statistical significance markers: * p < 0.05, ** p < 0.01; ns = not significant (p ≥ 0.05).
Figure 10. Relative expression levels of immune genes. Liver of 14 day (A) and 21 day (D), Spleen of 14 day (B) and 21 day (E), Kidney of 14 day (C) and (F); Statistical significance markers: * p < 0.05, ** p < 0.01; ns = not significant (p ≥ 0.05).
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Table 1. Prime for gene expression.
Table 1. Prime for gene expression.
GeneForwardReverse
NF-κBGCACAGCCTGGTTGGAAAGAGACGCCGAAGTTGTAGCC
IL-6TATACCAGCGGGAAGGACGAGCTGCTGTGCGAGAGGATAT
TLR1CCAGCAATGCATTTTCTGACCGTGTAGTGAGTTGGCGCTGACATCCA
β-actinGTTGTTGACAACGGTTCCGGTCCTTCTGTCCCATGCCAAC
Table 2. EDS analysis of elemental composition in selenium-enriched L. lactis RDN-1 dry biomass.
Table 2. EDS analysis of elemental composition in selenium-enriched L. lactis RDN-1 dry biomass.
ElementLine SeriesWt%Wt% SigmaAtomic Percentage %
CK series67.730.3476.36
NK series12.990.4112.56
OK series11.920.1210.09
PK series0.150.010.07
SK series0.040.000.02
ClK series0.370.010.14
CaK series0.060.010.02
SeL series2.620.030.45
OsL series4.110.080.29
Total 100.00 100.00
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MDPI and ACS Style

Ren, W.; Liu, X.; Yang, K.; Liu, Q.; Ren, S.; Zhao, C.; Song, A.; Ren, Y. Regulation of Sturgeon Growth, Immunity, and Intestinal Microbiota by Lactococcus lactis and Its Selenium-Enriched Product as an Alternative to Antibiotic: Advantages and Limitations of Inorganic Selenium. Fishes 2026, 11, 356. https://doi.org/10.3390/fishes11060356

AMA Style

Ren W, Liu X, Yang K, Liu Q, Ren S, Zhao C, Song A, Ren Y. Regulation of Sturgeon Growth, Immunity, and Intestinal Microbiota by Lactococcus lactis and Its Selenium-Enriched Product as an Alternative to Antibiotic: Advantages and Limitations of Inorganic Selenium. Fishes. 2026; 11(6):356. https://doi.org/10.3390/fishes11060356

Chicago/Turabian Style

Ren, Wenhao, Xintong Liu, Kaiyu Yang, Qi Liu, Shuying Ren, Chunyan Zhao, Aihuan Song, and Yichao Ren. 2026. "Regulation of Sturgeon Growth, Immunity, and Intestinal Microbiota by Lactococcus lactis and Its Selenium-Enriched Product as an Alternative to Antibiotic: Advantages and Limitations of Inorganic Selenium" Fishes 11, no. 6: 356. https://doi.org/10.3390/fishes11060356

APA Style

Ren, W., Liu, X., Yang, K., Liu, Q., Ren, S., Zhao, C., Song, A., & Ren, Y. (2026). Regulation of Sturgeon Growth, Immunity, and Intestinal Microbiota by Lactococcus lactis and Its Selenium-Enriched Product as an Alternative to Antibiotic: Advantages and Limitations of Inorganic Selenium. Fishes, 11(6), 356. https://doi.org/10.3390/fishes11060356

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