Biodiv Sci ›› 2023, Vol. 31 ›› Issue (7): 23073.  DOI: 10.17520/biods.2023073

• Original Papers: Animal Diversity • Previous Articles     Next Articles

Response of fish diversity to hydrological connectivity of typical tidal creek system in the Yellow River Delta based on environmental DNA metabarcoding

Zhiyuan Dong1,2, Linlin Chen1,2, Naipeng Zhang4, Li Chen1,3, Debin Sun1,2, Yanmei Ni1,3, Baoquan Li1,2,*()   

  1. 1. Key Laboratory of Coastal Biology and Bioresource Utilization, Yantai Institute of Coastal Zone Research, Chinese Academy of Sciences, Yantai, Shandong 264003
    2. University of Chinese Academy of Sciences, Beijing 100049
    3. School of Ocean, Yantai University, Yantai, Shandong 264003
    4. Dongying Municipal Hydrology Center, Dongying, Shandong 257000
  • Received:2023-03-09 Accepted:2023-04-18 Online:2023-07-20 Published:2023-04-26
  • Contact: *E-mail: bqli@yic.ac.cn

Abstract:

Aims: Hydrological connectivity is essential for maintaining biodiversity in coastal wetlands, and it is important to understand the response of fish diversity, as a major component of biodiversity, to different hydrological connectivity intensities. This study aimed to investigate the response of fish diversity to hydrological connectivity in the typical tidal creek system and verify the applicability of eDNA metabarcoding for monitoring and conserving fish diversity in the Yellow River Delta.

Methods: Water samples were collected from six sites in a typical tidal creek system in the Yellow River Delta in September 2022. Fish diversity was analyzed by using eDNA metabarcoding, in which, eDNA extracted from the water samples source were amplified by PCR using the 12S rRNA classical fish primers MiFish-E and high-throughput sequencing was performed by Illumina Miseq. The OTU representative sequences were aligned to the NCBI nucleotide sequence database to obtain species taxonomic annotation information. Thirteen environmental physicochemical indicators were measured in the water column. The relationship between fish communities and environmental factors was explored based on redundancy analysis.

Results: A total of 55 fish species were detected, including 27 native and 28 non-native fish species, and Perciformes dominated the fish composition. The fishes with high sequence abundance at each sample site included Acanthogobius hasta, Planiliza haematocheilu, Acanthogobius elongatus, etc. Fish diversity of the tidal creeks with different hydrological connectivity was different. Significantly higher community diversity and richness index, the highest number of species and a more even distribution of the number of individual species were found in the secondary tidal creek than in the other two tidal creeks. SiO32--Si, NO3--N, pH, salinity, NH4+-N, and dissolved oxygen were significantly correlated (P < 0.05) with fish community structure shown by RDA analysis. Acanthogobius hasta with higher sequence abundance was positively correlated with silicate, and the sequence abundance of Planiliza haematocheilus was negatively correlated with salinity.

Conclusion: This study confirmed the feasibility of using environmental DNA metabarcoding to monitor fish diversity of typical tidal water bodies in the Yellow River estuary by comparing it with previous traditional sampling data and indicated that hydrological connectivity of tidal creek systems has a significant impact on fish community structure and diversity. The results of this study are helpful to further understand the influence mechanism of coastal wetland hydrological connectivity on biological communities.

Key words: environmental DNA metabarcoding, fish diversity, hydrological connectivity, the Yellow River Delta, tidal creek system