Bacteria and micro-eukaryotes play important roles in river ecological systems. The processes that govern bacterial and micro-eukaryotic communities in urban rivers are still uncertain. The spatiotemporal characteristics and assembly processes of bacterial and micro-eukaryotic communities in the Xiangjianghe River were explored using 16 S and 18 S rRNA gene amplicon sequencing in the present study. The results indicate that the bacterial and micro-eukaryotic community composition exhibited distinct temporal and spatial variation. The topological characteristics of co-occurrence networks demonstrate that the bacterial and micro-eukaryotic community coexistence patterns vary significantly between the four seasons. Water temperature (WT) and oxidation-reduction potential (ORP) were detected as the most critical factors affecting bacterial and micro-eukaryotic community structure. The stochastic process (dispersal limitation) was the dominant assembly process for bacteria and micro-eukaryotes in all seasons. Deterministic and stochastic processes influenced the bacteria and micro-eukaryotes differently. Compared to bacteria, the values of niche breadth were relatively lower, and the proportion of deterministic processes was relatively higher in micro-eukaryotes. These results expand our understanding of spatiotemporal patterns, assembly mechanisms, and influencing factors of bacterial and micro-eukaryotic communities in urban rivers.

Copper (Cu²⁺) and zinc (Zn²⁺) are two kinds of heavy metals essential to living organisms. Cu²⁺ and Zn²⁺ at excessive concentrations can cause adverse effects on animals, but little is known about the thyroid-disrupting effects of these metals in fish, especially in the early developmental transition stage from embryos to larvae. Wild-type zebrafish embryos were used to expose to Cu²⁺ (0, 1.5, 15, and 150 μg/L) and Zn²⁺ (0, 20, 200, and 2000 μg/L) for 120 h. Thyroid hormone contents and transcriptional changes of the genes connected with the hypothalamic-pituitary-thyroid (HPT) axis were measured. Results showed that zebrafish embryos/larvae malformation rates were significantly increased in the Cu²⁺ and Zn²⁺ groups. Remarkably elevated thyroxine (T4) concentrations and reduced triiodothyronine (T3) concentrations were observed in Cu²⁺ and Zn²⁺ exposure fish. And the expression patterns of genes connected with the HPT axis were changed after Cu²⁺ and Zn²⁺ treatment. Based on principal component analysis (PCA) results, Zn²⁺ caused significant effects on the thyroid endocrine system at 200 μg/L, while Cu²⁺ resulted in thyroid disruption as low as 1.5 μg/L. In short, our study demonstrated that exposure to Cu²⁺ and Zn²⁺ induced developmental toxicity and thyroid disruption to zebrafish embryos/larvae.

After the completion of the Three Gorges Reservoir (TGR), there was a significant and drastic transformation of the original river habitat. These changes led to the loss of the original fish habitat and the emergence of a new habitat. To effectively classify and assess fish-spawning habitats in the TGR, a novel coastal complexity index (CCI) was developed. The CCI was formulated utilizing satellite remote sensing data and considering the river coastal line and river centerline on the river-reach scale. By integrating the CCI with river morphology, five river habitats were identified: the backwater bay, point bar, straight river channel, convex-bank point bar, and concave-bank deep pool. In order to evaluate the suitability of these habitats for sticky-egg-spawning fish, a single-factor habitat suitability curve was constructed using three key habitat factors: the CCI, slope, and vegetation coverage. This process involved the employment of two distinct methods: the habitat utilization method and the habitat preference method. The former only considered the survey data of spawning grounds, while the latter integrated the overall distribution of habitats in the TGR. Subsequently, a habitat suitability index (HSI) was established to assess the overall suitability of the identified habitats for sticky-egg-spawning fish. The results demonstrated a high classification accuracy, with the backwater bay representing the most prevalent habitat type, accounting for 43.31% of the total habitat types. When considering slope and vegetation coverage, the optimal ranges obtained through the two habitat suitability analysis methods were similar. However, for the CCI, there were variations in the optimal ranges obtained using the two methods. The habitat utilization method indicated an optimal interval of 2–4, while the habitat preference method provided an optimal interval of 4–8. Nonetheless, the assessment results for the spawning habitats’ suitability using both methods yielded essentially identical outcomes. Specifically, the backwater bay, convex-bank point bar, and concave-bank deep pool habitats exhibited higher suitability for spawning than point bar and straight river channel habitats. Further analysis revealed that approximately 75% of the 230 identified backwater bays were categorized as high-quality or higher-quality spawning habitats. In the time since this research was conducted, its findings have served as a theoretical foundation for the protection of aquatic biological resources and habitats.