**Background:** Deep-sea cold seep mussels rely on chemoautotrophic symbionts in their gills for nutrition, but they also retain a functional digestive system. The role of the gut microbiome in these mussels, particularly under environmental change, is poorly understood. This study investigates the community structure and functional capabilities of the gut microbiome in the cold seep mussel *Gigantidas haimaensis* and how it responds to environmental shifts.
**Methods:** Mussels were collected from a dense mussel bed at the Haima cold seep (~1400 m depth, South China Sea) using the ROV *Haima 2*. A subset was transplanted 100 m away to a peripheral site with no mussels for 6 days (May 2021). After in situ fixation in RNA stabilizing solution, eight mussel specimens (four from each site) were dissected into stomach, GI segment I, and GI segment II. DNA was extracted and subjected to 16S rRNA gene amplicon sequencing (V3–V4, Illumina NovaSeq-PE250) and metagenomic sequencing (Illumina NovaSeq 6000, ~10 Gb per tissue). Taxonomic profiling used Kaiju v1.8.2 against NCBI RefSeq. Alpha diversity (ACE, Chao1, Richness, Shannon, Simpson) and beta diversity (Bray–Curtis, nMDS) were calculated from rarefied ASV tables (4000 reads/sample) using QIIME2 and vegan. Metagenomic contigs were assembled with SPAdes, and bacterial contigs were annotated against NR, COG, KEGG (GhostKOALA), Pfam, and dbCAN databases. Fisher’s exact test with Bonferroni correction identified significantly influenced KEGG orthologs. Histology (HE staining) and FISH (probes EUB338-FITC, Alf968-Cy3, Gamma42a-Cy5) were performed on gut sections.
**Key Results:** At the original site, *Proteobacteria* was the most abundant phylum, with *Alphaproteobacteria* dominating (average 33.65%) followed by *Gammaproteobacteria* (average 21.9%). After transplantation, *Proteobacteria* increased from 68.06% to 73.23% on average, and *Gammaproteobacteria* became the dominant class in all tissues, while *Bacteroidetes* declined. Alpha diversity indices (ACE, Chao1, Richness) decreased significantly (p < 0.05) in the transplantation group. nMDS showed significant community separation (ANOSIM r = 0.2711, p = 0.012). Only 572 of 5,033 ASVs (11.4%) overlapped between groups. Functional analysis identified 2,113 CAZyme hits (153 types), with 41% from *Bacteroides* (116 types). After transplantation, CAZyme categories decreased from 153 to 60. Positively influenced KEGG pathways included starch and sucrose metabolism (disaccharide breakdown), nitrite reductase (nirB) increase, and glutamate dehydrogenase (gdhA) decrease. Environmental ammonium was 23.8 mg/L at the original site and 37.4 mg/L at the transplantation site; sulphide was 0.13 mg/L and 0.8 mg/L, respectively. Thiosulphate reductase decreased after transplantation. Lantibiotic biosynthesis protein (NisB), sporulation sensor kinase B (kinB), and chemotaxis proteins (CheR, CheB) increased in the transplantation group. The type VI secretion system (T6SS) and Rhs-family toxins were identified, indicating interbacterial competition. FISH confirmed bacterial populations in GI segment I contents.
**Clinical Implications:** While not a clinical study, this research provides fundamental insights into host–microbiome interactions in extreme environments. Understanding how gut microbiomes adapt to environmental stressors (e.g., reduced methane, altered nitrogen/sulphur availability) has implications for predicting the resilience of deep-sea ecosystems to environmental change, including anthropogenic disturbances and climate-driven shifts in chemosynthetic habitats. The findings also contribute to the broader understanding of mixotrophic nutrition and microbial adaptation in animals with reduced symbiont function.