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Benthic suspension-feeding clams affect sedimentary microbial communities and nitrogen cycling in seawater pond IMTA

文献类型： 外文期刊

作者： Yuan, Sheng-Yi 1 ; Zhu, Wen-Jun 1 ; Neori, Amir 4 ; Zhang, Ying 1 ; Li, Meng 1 ; Li, Jian 1 ; Chang, Zhi-Qiang 1 ;

作者机构： 1.Chinese Acad Fishery Sci, Yellow Sea Fisheries Res Inst, Key Lab Sustainable Dev Marine Fisheries, Key Lab Maricultural Organism Dis Control,Minist A, Qingdao 266071, Peoples R China

2.Pilot Natl Lab Marine Sci & Technol Qingdao, Lab Marine Fisheries Sci & Food Prod Proc, Qingdao 266071, Peoples R China

3.Shanghai Ocean Univ, Coll Fisheries & Life Sci, Shanghai 201306, Peoples R China

4.Univ Haifa, Leon Charney Sch Marine Sci, Dept Marine Biol, Morris Kahn Marine Res Stn, Haifa, Israel

5.Interuniv Inst Marine Sci Eilat, Elat, Israel

关键词： Suspension -feeding clams; Microbial communities; Nitrogen cycling; IMTA

期刊名称：AQUACULTURE （ 影响因子：4.5； 五年影响因子：4.6 ）

ISSN： 0044-8486

年卷期： 2023 年 563 卷

页码：

收录情况： SCI

摘要： Suspension-feeding bivalves are the key driver unit for cycling of material and energy in integrated multi-trophic aquaculture (IMTA) system, but only few studies have examined their bioturbation effects in land-based aqua -culture system. In the present study we explored the effects of different species (Ruditapes philippinarum, Sino-novacula constricta and Mercenaria mercenaria) and stocking density of benthic clams on the structure and function (specifically, nitrification and denitrification) in pond IMTA using a medium-scale mesocosm incubation system. It was found that co-cultured with 3 benthic clam species respectively decreased the inorganic nitrogen and phosphate in water column, affected the sediment microbial communities, and increased abundance of ni-trogen cycling related genes, such as AOB, nifH and nosZ, in sediment. Moreover, the moderate density of R. philippinarum (125 ind. /m2, weight of clam at 4.5 g ind.-1) have a higher activities of nitrogen cycling. The results are of great value on discovering the ecological mechanism of pond IMTA and improve the current IMTA models.

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