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Jiang S, Fan W, Chen L, Chen J, Li B. Spatio-temporal distribution of macrobenthos and benthic ecological health status in the Bohai Sea and the northern Yellow Sea, China. MARINE POLLUTION BULLETIN 2023; 196:115671. [PMID: 37866052 DOI: 10.1016/j.marpolbul.2023.115671] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/14/2023] [Revised: 09/26/2023] [Accepted: 10/13/2023] [Indexed: 10/24/2023]
Abstract
The Bohai Sea (BS) and the northern Yellow Sea (NYS) are threatened by anthropogenic activities and climate change. To accurately assess the benthic ecological quality status in this region, macrobenthos were selected as the research subject in this investigation. The results showed that the macrobenthos community structure had spatio-temporal differences in the BS and the NYS through principal coordinate analysis, especially in Laizhou Bay, and the Yellow River Delta was significantly different from that in the NYS. Specifically, in the BS, the abundance of macrobenthos in autumn was significantly higher than that in summer (p = 0.003). The dominant species composition also had seasonal differences. Overall, the macrobenthic community was slightly disturbed, but the benthic ecological health was "good". The values of negative cohesion were higher than those of positive cohesion in the macrobenthos community, revealing that there was more competition, ensuring that the community was relatively stable.
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Affiliation(s)
- Shaoyu Jiang
- CAS Key Laboratory of Coastal Environmental Processes and Ecological Remediation, Yantai Institute of Coastal Zone Research, Chinese Academy of Sciences, Yantai 264003, China; University of Chinese Academy of Science, Beijing 10049, China
| | - Wenzheng Fan
- CAS Key Laboratory of Coastal Environmental Processes and Ecological Remediation, Yantai Institute of Coastal Zone Research, Chinese Academy of Sciences, Yantai 264003, China; College of Life Sciences, Yantai University, Yantai 264005, China
| | - Linlin Chen
- CAS Key Laboratory of Coastal Environmental Processes and Ecological Remediation, Yantai Institute of Coastal Zone Research, Chinese Academy of Sciences, Yantai 264003, China; Center for Ocean Mega-Science, Chinese Academy of Sciences, Qingdao 266071, China
| | - Jing Chen
- CAS Key Laboratory of Coastal Environmental Processes and Ecological Remediation, Yantai Institute of Coastal Zone Research, Chinese Academy of Sciences, Yantai 264003, China; Center for Ocean Mega-Science, Chinese Academy of Sciences, Qingdao 266071, China
| | - Baoquan Li
- CAS Key Laboratory of Coastal Environmental Processes and Ecological Remediation, Yantai Institute of Coastal Zone Research, Chinese Academy of Sciences, Yantai 264003, China; Center for Ocean Mega-Science, Chinese Academy of Sciences, Qingdao 266071, China.
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The native range of Xenophthalmus pinnotheroides White, 1846 (Decapoda: Brachyura) predicted by climate matching with the first record for Vietnam. Biologia (Bratisl) 2022. [DOI: 10.1007/s11756-022-01287-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
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Rehitha TV, Vineetha G, Madhu NV. Ecological habitat quality assessment of a tropical estuary using macrobenthic functional characteristics and biotic indices. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2022; 29:47629-47646. [PMID: 35184236 DOI: 10.1007/s11356-022-19295-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/20/2021] [Accepted: 02/14/2022] [Indexed: 06/14/2023]
Abstract
Seasonal variation in the macrobenthic functional characteristics, such as trophic structure and secondary production, was studied, along with their structural characteristics such as density, biomass, and community distribution in Cochin estuary (CE), a tropical monsoonal estuary along the Southwest coast of India during 2018-2019. The biotic indices, AMBI (AZTI's Marine Biotic Index) and M-AMBI (Multivariate-AMBI) were used to assess the ecological quality of the study area by using the sensitivity of macrobenthic fauna to disturbances. A distinct temporal variation was evident in the macrobenthic structural characteristics, wherein high density, biomass, and species richness were observed during the post-monsoon. Polycheate species were dominant during pre-monsoon (Prionospio cirrifera) and monsoon (Mediomastus sp.), while gastropod species, Stenothyra perpumila, was dominant during post-monsoon. The trophic structure analysis revealed the dominance of deposit-feeding polychaetes during the pre-monsoon in association with the fine sediments laden with high organic carbon. In contrast, during post-monsoon, the polychaete trophic groups were more or less evenly distributed in the sandy substratum. The higher density of suspension feeders and herbivorous-grazers observed during the post-monsoon indicated improved habitat quality compared to the pre-monsoon dominated by the detritivores. The macrobenthic secondary production was also high during the post-monsoon, contributed by a diverse assemblage of molluscs, crustaceans, and polychaetes having size > 0.7 mm. The biotic indices also showed an evident increase in the habitat quality of the estuary from pre-monsoon to post-monsoon (AMBI, moderately disturbed to undisturbed; M-AMBI, poor-moderate-good to good-high conditions), similar to the results of benthic structural and functional characteristics. The study highlights the significance of the utility of benthic functional characteristics while assessing the habitat quality of an ecosystem.
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Affiliation(s)
- Thekkendavida Velloth Rehitha
- Arctic Ecology and Biogeochemistry, National Centre for Polar and Ocean Research, Ministry of Earth Sciences, Goa- 403 804, Vasco-da-Gama, India.
| | - Gopinath Vineetha
- Central Marine Fisheries Research Institute, Post Box No. 1603, Ernakulam North P.O, Cochin -18, India
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Xu Y, Ma L, Sui J, Li X, Wang H, Zhang B. Potential effects of climate change on the habitat suitability of macrobenthos in the Yellow Sea and East China Sea. MARINE POLLUTION BULLETIN 2022; 174:113238. [PMID: 34920240 DOI: 10.1016/j.marpolbul.2021.113238] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/09/2021] [Revised: 12/01/2021] [Accepted: 12/03/2021] [Indexed: 06/14/2023]
Abstract
Species distribution models (SDMs) are used to detect potential effects of climate change on the habitat suitability of macrobenthos in the Yellow Sea and East China Sea. We obtained the presence/absence data of five dominant and characteristic macrobenthos from 268 sites investigated during 2000-2016 and 13 environmental variables from online datasets. The ensemble SDMs were constructed and were in good model performance for all five species. Model projections showed that the five species displayed different reactions to future climate scenarios: two species (the ophiuroid Ophiura sarsii vadicola and the bivalve Thyasira tokunagai) will likely contract their ranges, two (the crab Xenophthalmus pinnotheroides and the polychaete Sternaspis chinensis) will likely expand their ranges, and one (the ophiuroid Amphioplus japonicus) will likely move northward. Those differences were mainly due to their difference in thermal tolerance. Our findings provide important scientific basis for understanding the influence of climate change on marine benthic ecosystems.
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Affiliation(s)
- Yong Xu
- Department of Marine Organism Taxonomy and Phylogeny, Institute of Oceanology, Chinese Academy of Sciences, Qingdao 266071, China; University of Chinese Academy of Sciences, Beijing 100049, China; Center for Ocean Mega-Science, Chinese Academy of Sciences, Qingdao 266071, China; Laboratory for Marine Biology and Biotechnology, Qingdao National Laboratory for Marine Science and Technology, Qingdao 266237, China
| | - Lin Ma
- Department of Marine Organism Taxonomy and Phylogeny, Institute of Oceanology, Chinese Academy of Sciences, Qingdao 266071, China; University of Chinese Academy of Sciences, Beijing 100049, China; Center for Ocean Mega-Science, Chinese Academy of Sciences, Qingdao 266071, China; Laboratory for Marine Biology and Biotechnology, Qingdao National Laboratory for Marine Science and Technology, Qingdao 266237, China
| | - Jixing Sui
- Department of Marine Organism Taxonomy and Phylogeny, Institute of Oceanology, Chinese Academy of Sciences, Qingdao 266071, China; University of Chinese Academy of Sciences, Beijing 100049, China; Center for Ocean Mega-Science, Chinese Academy of Sciences, Qingdao 266071, China; Laboratory for Marine Biology and Biotechnology, Qingdao National Laboratory for Marine Science and Technology, Qingdao 266237, China.
| | - Xinzheng Li
- Department of Marine Organism Taxonomy and Phylogeny, Institute of Oceanology, Chinese Academy of Sciences, Qingdao 266071, China; University of Chinese Academy of Sciences, Beijing 100049, China; Center for Ocean Mega-Science, Chinese Academy of Sciences, Qingdao 266071, China; Laboratory for Marine Biology and Biotechnology, Qingdao National Laboratory for Marine Science and Technology, Qingdao 266237, China.
| | - Hongfa Wang
- Department of Marine Organism Taxonomy and Phylogeny, Institute of Oceanology, Chinese Academy of Sciences, Qingdao 266071, China
| | - Baolin Zhang
- Department of Marine Organism Taxonomy and Phylogeny, Institute of Oceanology, Chinese Academy of Sciences, Qingdao 266071, China
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Reardon AM, Hu XP, Li K, Langley J. Subtyping Autism Spectrum Disorder via Joint Modeling of Clinical and Connectomic Profiles. Brain Connect 2021; 12:193-205. [PMID: 34102874 DOI: 10.1089/brain.2020.0997] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
BACKGROUND Autism Spectrum Disorder (ASD) is a highly heterogeneous developmental disorder with diverse clinical manifestations. Neuroimaging studies have explored functional connectivity (FC) of ASD through resting-state functional MRI studies, however the findings have remained inconsistent, thus reflecting the possibility of multiple subtypes. Identification of the relationship between clinical symptoms and FC measures may help clarify the inconsistencies in earlier findings and advance our understanding of ASD subtypes. METHODS Canonical correlation analysis was performed on two-hundred and ten ASD subjects from the Autism Brain Imaging Data Exchange to identify significant linear combinations of resting-state connectomic and clinical profiles of ASD. Then, hierarchical clustering defined ASD subtypes based on distinct brain-behavior relationships. Finally, a support vector machine classifier was used to verify that subtypes were comprised of subjects with distinct clinical and connectivity features. RESULTS Three ASD subtypes were identified. Subtype 1 exhibited increased intra-network FC, increased IQ scores and restricted and repetitive behaviors. Subtype 2 was characterized by decreased whole-brain FC and more severe ADI-R and SRS symptoms. Subtype 3 demonstrated mixed FC, low IQ scores, as well as social motivation and verbal deficits. To verify subtype assignment, a multi-class support vector machine using connectomic and clinical profiles yielded an average accuracy of 71.3% and 65.2% respectively for subtype classification, which is significantly higher than chance (33.3%). CONCLUSION The present study demonstrates that combining connectomic and behavioral measures is a powerful approach for disease subtyping and suggests that there are ASD subtypes with distinct connectomic and clinical profiles.
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Affiliation(s)
- Alexandra M Reardon
- University of California Riverside, 8790, Biomedical Engineering, Riverside, California, United States;
| | - Xiaoping P Hu
- University of California Riverside, 8790, Biomedical Engineering, Riverside, California, United States.,University of California Riverside, 8790, Center for Advanced NeuroImaging, Riverside, California, United States;
| | - Kaiming Li
- University of California Riverside, 8790, Center for Advanced NeuroImaging, Riverside, California, United States;
| | - Jason Langley
- University of California Riverside, 8790, Center for Advanced NeuroImaging, Riverside, California, United States;
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Wang Y, Liu JJ, Liu W, Feng Q, Li BL, Lu H, Wang S. Spatial variation in macrobenthic assemblages and their relationship with environmental factors in the upstream and midstream regions of the Heihe River Basin, China. ENVIRONMENTAL MONITORING AND ASSESSMENT 2021; 193:53. [PMID: 33426620 PMCID: PMC7797420 DOI: 10.1007/s10661-020-08822-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 09/19/2020] [Accepted: 12/27/2020] [Indexed: 06/12/2023]
Abstract
The Heihe River is a typical inland river under increasing anthropogenic pressure. To explore the characteristics of the macrobenthic assemblages and their relationships with environmental factors in the upstream and midstream regions of this basin, abiotic conditions and macrobenthic assemblages were investigated in the summers of 2018 and 2019. A total of 50 species were collected, and Arthropoda and mollusks were the dominant groups. A significant increase in standing stock was observed from the upstream to midstream, and predators (PR) were the main functional feeding group. A one-way analysis of variance (ANOVA) revealed that the Shannon-Wiener index and Margalef's index values significantly differed at the spatial scale (P < 0.05). A redundancy analysis (RDA) and Pearson correlation analysis showed that the spatial heterogeneity of the macrobenthos was influenced by the biochemical oxygen demand (BOD5), water temperature (WT), total nitrogen (TN), salinity, electrical conductivity (EC), total dissolved solids (TDS), dissolved oxygen (DO), and potassium permanganate index (CODMn) (P < 0.05). The spatial variation of macrobenthos was mainly governed by natural conditions and human disturbances.
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Affiliation(s)
- Yu Wang
- College of Energy and Power Engineering, Lanzhou University of Technology, Lanzhou, 730050 China
- Key Laboratory of Ecohydrology of Inland River Basin, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou, 730000 China
| | - Juan-Juan Liu
- College of Energy and Power Engineering, Lanzhou University of Technology, Lanzhou, 730050 China
| | - Wei Liu
- Key Laboratory of Ecohydrology of Inland River Basin, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou, 730000 China
| | - Qi Feng
- Key Laboratory of Ecohydrology of Inland River Basin, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou, 730000 China
| | - Bao-long Li
- College of Energy and Power Engineering, Lanzhou University of Technology, Lanzhou, 730050 China
| | - Han Lu
- College of Energy and Power Engineering, Lanzhou University of Technology, Lanzhou, 730050 China
| | - Shuang Wang
- College of Energy and Power Engineering, Lanzhou University of Technology, Lanzhou, 730050 China
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Yan J, Sui J, Xu Y, Li X, Wang H, Zhang B. Assessment of the benthic ecological status in adjacent areas of the Yangtze River Estuary, China, using AMBI, M-AMBI and BOPA biotic indices. MARINE POLLUTION BULLETIN 2020; 153:111020. [PMID: 32275566 DOI: 10.1016/j.marpolbul.2020.111020] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/04/2019] [Revised: 02/20/2020] [Accepted: 02/21/2020] [Indexed: 06/11/2023]
Abstract
The main environmental variables of bottom seawater and macrobenthic invertebrates were investigated from February 2015 to January 2016 to evaluate the benthic ecological status in adjacent areas of the Yangtze River Estuary, China. Diverse ecological assessment results were given by the AZTI Marine Biotic Index (AMBI), multivariate-AMBI (M-AMBI) and benthic opportunistic polychaetes amphipods (BOPA) index, showing that the M-AMBI was the most suitable in the study area. A clear spatial distribution pattern related to the distance from the estuary and the coasts was found both for the benthic ecological status and the eutrophication-related bottom seawater environmental variables, indicating that the study area was under eutrophication pressure. Two major disturbed regions (one was east of the Yangtze River Estuary, and the other was east of Zhejiang Province) were discovered, which was probably mainly caused by the Changjiang Diluted Water (CDW). No significant seasonal changes were found in the ecological status.
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Affiliation(s)
- Jia Yan
- Institute of Oceanology, Chinese Academy of Sciences, Qingdao 266071, China; University of Chinese Academy of Sciences, Beijing 100049, China; Laboratory for Marine Biology and Biotechnology, Qingdao National Laboratory for Marine Science and Technology, Qingdao 266000, China; Center for Ocean Mega-Science, Chinese Academy of Sciences, 7 Nanhai Road, Qingdao 266071, China
| | - Jixing Sui
- Institute of Oceanology, Chinese Academy of Sciences, Qingdao 266071, China; University of Chinese Academy of Sciences, Beijing 100049, China; Laboratory for Marine Biology and Biotechnology, Qingdao National Laboratory for Marine Science and Technology, Qingdao 266000, China; Center for Ocean Mega-Science, Chinese Academy of Sciences, 7 Nanhai Road, Qingdao 266071, China
| | - Yong Xu
- Institute of Oceanology, Chinese Academy of Sciences, Qingdao 266071, China; University of Chinese Academy of Sciences, Beijing 100049, China; Laboratory for Marine Biology and Biotechnology, Qingdao National Laboratory for Marine Science and Technology, Qingdao 266000, China; Center for Ocean Mega-Science, Chinese Academy of Sciences, 7 Nanhai Road, Qingdao 266071, China.
| | - Xinzheng Li
- Institute of Oceanology, Chinese Academy of Sciences, Qingdao 266071, China; University of Chinese Academy of Sciences, Beijing 100049, China; Laboratory for Marine Biology and Biotechnology, Qingdao National Laboratory for Marine Science and Technology, Qingdao 266000, China; Center for Ocean Mega-Science, Chinese Academy of Sciences, 7 Nanhai Road, Qingdao 266071, China.
| | - Hongfa Wang
- Institute of Oceanology, Chinese Academy of Sciences, Qingdao 266071, China
| | - Baolin Zhang
- Institute of Oceanology, Chinese Academy of Sciences, Qingdao 266071, China
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Mulik J, Sukumaran S, Srinivas T. Factors structuring spatio-temporal dynamics of macrobenthic communities of three differently modified tropical estuaries. MARINE POLLUTION BULLETIN 2020; 150:110767. [PMID: 31910522 DOI: 10.1016/j.marpolbul.2019.110767] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/05/2018] [Revised: 09/04/2019] [Accepted: 11/21/2019] [Indexed: 06/10/2023]
Abstract
Tropical estuaries of industrialized northwest coast of India, subject to seasonal and multifarious anthropogenic interventions, are poorly studied. Three estuaries, Ulhas, Amba and Savitri were investigated seasonally to identify the principal factors among natural and anthropic stressors that shaped spatio-temporal macrobenthic patterns. The macrobenthic community structure and chemical parameters differed significantly between estuaries, zones and seasons. Multivariate dispersions were significant between the estuaries whereas for the zones and seasons, significant variability was nonexistent. Multivariate regression analysis indicated that both natural and anthropogenic drivers influenced the spatio-temporal variability of macrobenthos of Ulhas and Amba. In Savitri, no anthropogenic factor was significantly influential. Salinity explained a greater proportion of the variability of macrobenthic structure than other factors in all estuaries. The pollution tolerant species responded largely to salinity changes and were observed to inhabit specific salinity zones. Thus, the spatio-temporal patterns of the estuarine macrobenthos were primarily dictated by the salinity.
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Affiliation(s)
- Jyoti Mulik
- CSIR-National Institute of Oceanography, Regional Centre, Andheri (W), Mumbai 400 053, India
| | - Soniya Sukumaran
- CSIR-National Institute of Oceanography, Regional Centre, Andheri (W), Mumbai 400 053, India.
| | - Tatiparthi Srinivas
- CSIR-National Institute of Oceanography, Regional Centre, Andheri (W), Mumbai 400 053, India
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Yan J, Sui J, Xu Y, Li X, Wang H, Zhang B. Relationship between mild seasonal oxygen deficiency and seasonal variations of macrozoobenthic community: A case study in the Yangtze River estuary and its adjacent area, China. MARINE POLLUTION BULLETIN 2019; 144:11-19. [PMID: 31179976 DOI: 10.1016/j.marpolbul.2019.05.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/14/2019] [Revised: 04/29/2019] [Accepted: 05/02/2019] [Indexed: 06/09/2023]
Abstract
In the present study, environmental parameters and macrozoobenthos in the Yangtze River estuary and its adjacent area, China, were investigated in summer and winter of 2015, and significant seasonal differences were found. Biodiversity was found to be lower in summer, which may result from the higher deposition rate. The relationship between the macrozoobenthic community and environmental parameters (especially dissolved oxygen) was revealed. Linear models describing the response of macrozoobenthic biodiversity indexes to mild oxygen deficiency were constructed. Mild seasonal oxygen deficiency was revealed significantly related to seasonal variations of the macrozoobenthic community, but this deficiency could not damage the community. In contrast, when mild oxygen deficiency occurred, natural predators of macrozoobenthos decreased, which may relieve the survival pressure of macrozoobenthos to some extent. Dissolved oxygen alone could not explain many variations of macrozoobenthos, and other environmental parameters, especially water depth, phosphate concentration and turbidity, also greatly contributed to those variations.
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Affiliation(s)
- Jia Yan
- Institute of Oceanology, Chinese Academy of Sciences, Qingdao 266071, China; University of Chinese Academy of Sciences, Beijing 100049, China; Laboratory for Marine Biology and Biotechnology, Qingdao National Laboratory for Marine Science and Technology, Qingdao 266000, China; Center for Ocean Mega-Science, Chinese Academy of Sciences, 7 Nanhai Road, Qingdao 266071, China
| | - Jixing Sui
- Institute of Oceanology, Chinese Academy of Sciences, Qingdao 266071, China; University of Chinese Academy of Sciences, Beijing 100049, China; Laboratory for Marine Biology and Biotechnology, Qingdao National Laboratory for Marine Science and Technology, Qingdao 266000, China; Center for Ocean Mega-Science, Chinese Academy of Sciences, 7 Nanhai Road, Qingdao 266071, China
| | - Yong Xu
- Institute of Oceanology, Chinese Academy of Sciences, Qingdao 266071, China; University of Chinese Academy of Sciences, Beijing 100049, China; Laboratory for Marine Biology and Biotechnology, Qingdao National Laboratory for Marine Science and Technology, Qingdao 266000, China; Center for Ocean Mega-Science, Chinese Academy of Sciences, 7 Nanhai Road, Qingdao 266071, China.
| | - Xinzheng Li
- Institute of Oceanology, Chinese Academy of Sciences, Qingdao 266071, China; University of Chinese Academy of Sciences, Beijing 100049, China; Laboratory for Marine Biology and Biotechnology, Qingdao National Laboratory for Marine Science and Technology, Qingdao 266000, China; Center for Ocean Mega-Science, Chinese Academy of Sciences, 7 Nanhai Road, Qingdao 266071, China.
| | - Hongfa Wang
- Institute of Oceanology, Chinese Academy of Sciences, Qingdao 266071, China
| | - Baolin Zhang
- Institute of Oceanology, Chinese Academy of Sciences, Qingdao 266071, China
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