The microbiomic and environmental analysis of sediments in the Indo-Pacific humpback dolphin (Sousa chinensis) habitat in the Northern Beibu Gulf, China
2019
Gong, Bin | Huang, Hu | Peng, Chongwei | Wang, Jingzhen | Ma, Jixian | Liu, Xiangxu | Ouyang, Songying | Huang, Shiang-Lin | Wu, Haiping
The northern Beibu Gulf is one of the major habitats for the Indo-Pacific humpback dolphin (Sousa chinensis) in China. In this habitat, the core distribution zone of humpback dolphins was confined to the Sanniang Bay (SNB) and Dafengjiang River Estuary (DRE) areas. In our present research, the sediments of 14 sampling sites across the SNB and DRE waters were collected and further conducted for microbiomic and environmental analysis to explore the ecosystem characteristics of major humpback dolphin habitats in Northern Beibu Gulf. The environmental condition includes ammonia nitrogen (NH₄⁺-N), nitrate nitrogen (NO₃⁻-N), dissolved reactive phosphorus (DRP), sulfur content in the form of sulfuric acid (SO₄²⁻-S), Fe, and heavy metals (including Cu, Zn, Cd, Pb, and As). The composition of the bacterial community was characterized by 16S ribosomal DNA analysis of the V3–V4 regions using the Illumina-based sequencing platform. The environmental characteristic of the nutrient elements and heavy metals indicated that SNB suffered more anthropogenic impact than DRE. The comparably higher concentration of NH₄⁺-N, NO₃⁻-N, DRP, Pb, and Cd in the SNB region was detected. The comparably higher nutrients in the SNB may have resulted in higher biomass and lower dissolved oxygen (DO) profile, which was further proved by Landsat thermal image data. The microbiome analysis showed that the DRE region was oligotrophic and SNB reflected an anaerobic environment in the sediments. Environmental factors rather than the spatial distance determined the similarity of bacterial community among different sites. Ecological associations between environmental, oceanographic, and bacterial characteristics were illustrated, which exhibited strong mutual associations. Our findings presented a feasibility that integrates empirical and remote sensing data to distinguish ecological features and evaluate ecosystem healthiness for the humpback dolphin habitats.
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