**Background:** The giant freshwater prawn (GFP; Macrobrachium rosenbergii) is an economically important aquaculture species, but genetically improved varieties are needed to meet growing demand. The gut microbiota plays critical roles in nutrient absorption, metabolism, immunity, and growth in aquatic animals. However, the specific gut microbiota and metabolites associated with growth performance in GFP families had not been characterized. This study aimed to identify key intestinal bacteria and metabolites linked to different growth performances in GFP families using 16S rRNA sequencing and LC–MS metabolomics.
**Methods:** A total of 90 GFP families were bred and cultured separately in cement tanks (15 m² each) under identical conditions for 92 days. Water temperature was maintained at 28 ± 2 °C, pH 7.5–8, dissolved oxygen ≥ 5.5 mg/L, ammonia nitrogen ≤ 0.25 mg/L, and nitrite ≤ 0.1 mg/L. Prawns were fed a formula diet (crude protein ≥ 38%, crude fat ≥ 5%) twice daily. After 92 days, families were divided into high (H), medium (M), and low (L) growth performance groups based on weight gain (WG) and specific growth rate (SGR). Three families per group were randomly selected. Intestinal samples from 28 individuals per family were collected under sterile conditions. DNA was extracted using the CTAB method, and the V3-V4 region of the 16S rRNA gene was amplified and sequenced on an Illumina NovaSeq 6000 platform. Metabolites were extracted from intestinal tissues and analyzed using Waters 2D UPLC tandem Q Exactive high-resolution mass spectrometry. Differential metabolites were identified using VIP ≥ 1, FC ≥ 1.2 or ≤ 0.83, and q < 0.05. Pearson correlation and Mantel test were used for microbiota–metabolite correlation analysis.
**Key Results:** Group H had significantly higher (p < 0.001) final body weight (41.03 ± 1.44 g), weight gain (1616.82 ± 60.08%), and SGR (3.09 ± 0.04 %/d) compared to Group M (37.46 ± 0.73 g, 1467.45 ± 30.54%, 2.99 ± 0.02 %/d) and Group L (33.34 ± 1.97 g, 1294.82 ± 82.31%, 2.86 ± 0.07 %/d). Group H had the highest OTU richness (1800 OTUs) versus Group M (1461) and Group L (796). The relative abundance of Firmicutes was 14.2% in Group H, 9.7% in Group M, and 4.4% in Group L, while Proteobacteria was 83.7%, 88.3%, and 92.8%, respectively. Key bacteria enriched in Group H included Lactobacillus (0.431% vs. 0.007% in M and 0.001% in L), Blautia (0.043% vs. 0.003% and 0.0005%), Lachnospiraceae (0.502% vs. 0.027% and 0.007%), and Romboutsia (0.111% vs. 0.003% and 0.001%). Metabolomic analysis identified 1173 significantly different metabolites in ESI+ mode and 428 in ESI− mode. Spermidine levels were 7,568,085.52 in Group H vs. 503,668.63 in M and 297,921.56 in L. Adenosine was 20,948,251.26 in H vs. 16,955,727.72 in M and 5,034,361.71 in L. L-citrulline was lower in H (12,351,334.96) than in M (28,501,478.19) and L (50,349,665.38). Correlation analysis showed that Lactobacillus and Blautia abundances were positively correlated with alpha-ketoglutaric acid and L-arginine levels. Blautia was also positively correlated with adenosine, taurine, and spermidine. KEGG enrichment revealed that pathways related to arginine and proline metabolism, arginine biosynthesis, taurine and hypotaurine metabolism, arachidonic acid metabolism, and alpha-linolenic acid metabolism were significantly enriched in Group H.
**Clinical Implications:** This study provides the first comprehensive characterization of gut microbiota and intestinal metabolites associated with growth performance in M. rosenbergii families. The identification of specific bacterial genera (Lactobacillus, Blautia, Faecalibacterium, Butyricicoccus) and metabolites (spermidine, adenosine, arginine-related compounds, unsaturated fatty acids) that are enriched in fast-growing prawns offers potential biomarkers for selective breeding programs. The findings also support the development of probiotic feeds targeting these beneficial microbes to enhance growth performance in aquaculture. The integration of 16S rRNA sequencing with metabolomics provides a framework for understanding host–microbe interactions in crustacean growth regulation.