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Cite this paper: |
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Xinyu ZHAO, Yi ZHONG, Huanxin ZHANG, Tongfei QU, Chengzong HOU, Chen GUAN, Feng LIU, Xuexi TANG, Ying WANG. Comparison of environmental responding strategies between Ulva prolifera and Sargassum horneri: an in-situ study during the co-occurrence of green tides and golden tides in the Yellow Sea, China in 2017[J]. Journal of Oceanology and Limnology, 2021, 39(6): 2252-2266 |
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Comparison of environmental responding strategies between Ulva prolifera and Sargassum horneri: an in-situ study during the co-occurrence of green tides and golden tides in the Yellow Sea, China in 2017 |
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Xinyu ZHAO1,2, Yi ZHONG1, Huanxin ZHANG3, Tongfei QU1, Chengzong HOU1, Chen GUAN1, Feng LIU4, Xuexi TANG1,2, Ying WANG1,2 |
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1 College of Marine Life Sciences, Ocean University of China, Qingdao 266003, China; 2 Qingdao National Laboratory for Marine Science and Technology, Qingdao 266237, China; 3 College of Geography and Environment, Shandong Normal University, Jinan 250000, China; 4 CAS Key Laboratory of Marine Ecology and Environmental Sciences, Institute of Oceanology, Chinese Academy of Sciences, Qingdao 266071, China |
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Abstract: |
Large-scale green tides in the Yellow Sea occurred for 13 consecutive years since 2007. The unusual co-occurrence of green tides and golden tides occurred in the Yellow Sea in 2017. The causative species are Ulva prolifera and/or Sargassum horneri. Previous studies on physiological response characteristics of U. prolifera and S. horneri are done in the laboratory mainly, and there is no in-situ comparative study in this regard. In this study, the in-situ physiological response characteristics of both species were measured. The results indicated that cyclic electron flow and antioxidant system play more important roles in protecting U. prolifera, while non-photochemical quenching is more important for adapting to the environment in S. horneri. U. prolifera has a stronger ability to utilize nutrients to rapidly increase its biomass under a suitable condition compared to S. horneri. |
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Key words:
Ulva prolifera|Sargassum horneri|environmental response strategy|in-situ study
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Received: 2020-10-19 Revised: 2020-11-24 |
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References:
Arnon D I. 1949. Copper enzymes in isolated chloroplasts. Polyphenoloxidase in Beta vulgaris. Plant Physiology, 24(1):1-15, https://doi.org/10.1104/pp.24.1.1. Bradford M M. 1976. A rapid and sensitive method for the quantitation of microgram quantities of protein utilizing the principle of protein-dye binding. Analytical Biochemistry, 72(1-2):248-254, https://doi.org/10.1016/0003-2697(76)90527-3. Buege J A, Aust S D. 1978. Microsomal lipid peroxidation. Methods in Enzymology, 52:302-310, https://doi.org/10.1016/S0076-6879(78)52032-6. Fan X, Xu D, Wang Y T, Zhang X W, Cao S N, Mou S L, Ye N H. 2014. The effect of nutrient concentrations, nutrient ratios and temperature on photosynthesis and nutrient uptake by Ulva prolifera:implications for the explosion in green tides. Journal of Applied Phycology, 26(1):537-544, https://doi.org/10.1007/s10811-013-0054-z. Gao S, Shen S D, Wang G C, Niu J F, Lin A P, Pan G H. 2011. PSI-driven cyclic electron flow allows intertidal macroalgae Ulva sp. (Chlorophyta) to survive in desiccated conditions. Plant and Cell Physiology, 52(5):885-893, https://doi.org/10.1093/pcp/pcr038. Gao S, Zheng Z B, Gu W H, Xie X J, Huan L, Pan G H, Wang G C. 2014. Photosystem I shows a higher tolerance to sorbitol-induced osmotic stress than Photosystem Ⅱ in the intertidal macro-algae Ulva prolifera (Chlorophyta). Physiologia Plantarum, 152(2):380-388, https://doi.org/10.1111/ppl.12188. Grasshoff K, Kremling K, Ehrhardt M. 1999. Methods of Seawater Analysis. 3rd edn. Wiley-VCH, New York. p. 159-228. Huan L, Gu W H, Gao S, Wang G C. 2016. Photosynthetic activity and proteomic analysis highlights the utilization of atmospheric CO2 by Ulva prolifera (Chlorophyta) for rapid growth. Journal of Phycology, 52(6):1103-1113, https://doi.org/10.1111/jpy.12469. Huang W, Fu P L, Jiang Y J, Zhang J L, Zhang S B, Hu H, Cao K F. 2013. Differences in the responses of photosystem I and photosystem Ⅱ of three tree species Cleistanthus sumatranus, Celtis philippensis and Pistacia weinmannifolia exposed to a prolonged drought in a tropical limestone forest. Tree Physiology, 33(2):211-220, https://doi.org/10.1093/treephys/tps132. Imlay J A. 2003. Pathways of oxidative damage. Annual Review of Microbiology, 57:395-418, https://doi.org/10.1146/annurev.micro.57.030502.090938. Joët T, Cournac L, Peltier G, Havaux M. 2002. Cyclic electron flow around photosystem I in C3 plants. In vivo control by the redox state of chloroplasts and involvement of the NADH-dehydrogenase complex. Plant Physiology, 128(2):760-769, https://doi.org/10.1104/pp.010775. Keesing J K, Liu D Y, Shi Y J, Wang Y J. 2016. Abiotic factors influencing biomass accumulation of green tide causing Ulva spp. on Pyropia culture rafts in the Yellow Sea, China. Marine Pollution Bulletin, 105(1):88-97, https://doi.org/10.1016/j.marpolbul.2016.02.051. Larkum A W D, Douglas S E, Raven J A. 2012. Photosynthesis in Algae. Springer Science & Business Media, Dordrecht. Li G, Qin Z, Zhang J J, Lin Q, Ni G Y, Tan Y H, Zou D H. 2020. Algal density mediates the photosynthetic responses of a marine macroalga Ulva conglobata (Chlorophyta) to temperature and pH changes. Algal Research, 46:101797, https://doi.org/10.1016/j.algal.2020.101797. Li H M, Zhang Y Y, Chen J, Zheng X, Liu F, Jiao N Z. 2019. Nitrogen uptake and assimilation preferences of the main green tide alga Ulva prolifera in the Yellow Sea, China. Journal of Applied Phycology, 31(1):625-635, https://doi.org/10.1007/s10811-018-1575-2. Li H M, Zhang Y Y, Tang H J, Shi X Y, Rivkin R B, Legendre L. 2017. Spatiotemporal variations of inorganic nutrients along the Jiangsu coast, China, and the occurrence of macroalgal blooms (green tides) in the southern Yellow Sea. Harmful Algae, 63:164-172, https://doi.org/10.1016/j.hal.2017.02.006. Li Z R, Wakao S, Fischer B B, Niyogi K K. 2009. Sensing and responding to excess light. Annual Review of Plant Biology, 60:239-260, https://doi.org/10.1146/annurev.arplant.58.032806.103844. Liu D Y, Keesing J K, Dong Z J, Zhen Y, Di B P, Shi Y J, Fearns P, Shi P. 2010. Recurrence of the world's largest green-tide in 2009 in Yellow Sea, China:Porphyra yezoensis aquaculture rafts confirmed as nursery for macroalgal blooms. Marine Pollution Bulletin, 60(9):1423-1432, https://doi.org/10.1016/j.marpolbul.2010.05.015. Liu F, Liu X F, Wang Y, Jin Z, Moejes F W, Sun S. 2018. Insights on the Sargassum horneri golden tides in the Yellow Sea inferred from morphological and molecular data. Limnology and Oceanography, 63(4):1762-1773, https://doi.org/10.1002/lno.10806. Liu X Q, Li Y, Wang Z L, Zhang Q C, Cai X Q. 2015. Cruise observation of Ulva prolifera bloom in the southern Yellow Sea, China. Estuarine, Coastal and Shelf Science, 163:17-22, https://doi.org/10.1016/j.ecss.2014.09.014. Luo M B, Liu F. 2011. Salinity-induced oxidative stress and regulation of antioxidant defense system in the marine macroalga Ulva prolifera. Journal of Experimental Marine Biology and Ecology, 409(1-2):223-228, https://doi.org/10.1016/j.jembe.2011.08.023. Mou S, Zhang X, Dong M, Fan X, Xu J, Cao S, Xu D, Wang W, Ye N. 2013. Photoprotection in the green tidal alga Ulva prolifera:role of LHCSR and PsbS proteins in response to high light stress. Plant Biology, 15(6):1033-1039, https://doi.org/10.1111/j.1438-8677.2012.00712.x. Praba M L, Vanangamudi M, Thandapani V. 2004. Effect of low light on yield and physiological attributes of rice. International Rice Research Notes, 29:71-73. Shi X Y, Qi M Y, Tang H J, Han X R. 2015. Spatial and temporal nutrient variations in the Yellow Sea and their effects on Ulva prolifera blooms. Estuarine, Coastal and Shelf Science, 163:36-43, https://doi.org/10.1016/j.ecss.2015.02.007. Song W, Peng K Q, Xiao J, Li Y, Wang Z L, Liu X Q, Fu M Z, Fan S L, Zhu M Y, Li R X. 2015. Effects of temperature on the germination of green algae micro-propagules in coastal waters of the Subei Shoal, China. Estuarine, Coastal and Shelf Science, 163:63-68, https://doi.org/10.1016/j.ecss.2014.08.007. Wang Y, Wang Y, Zhu L, Zhou B, Tang X X. 2012. Comparative studies on the ecophysiological differences of two green tide macroalgae under controlled laboratory conditions. PLoS One, 7(8):e38245, https://doi.org/10.1371/journal.pone.0038245. Wu H L, Gao G, Zhong Z H, Li X S, Xu J T. 2018. Physiological acclimation of the green tidal alga Ulva prolifera to a fastchanging environment. Marine Environmental Research, 137:1-7, https://doi.org/10.1016/j.marenvres.2018.02.018. Xu Z G, Gao G, Xu J T, Wu H Y. 2017. Physiological response of a golden tide alga (Sargassum muticum) to the interaction of ocean acidification and phosphorus enrichment. Biogeosciences, 14(3):671-681, https://doi.org/10.5194/bg-14-671-2017. Ye N H, Zhuang Z M, Jin X S, Wang Q Y, Zhang X W, Li D M, Wang H X, Mao Y Z, Jiang Z J, Li B, Xue Z X. 2008. China is on the track tackling Enteromorpha spp forming green tide. Nature Proceedings, https://doi.org/10.1038/npre.2008.2352.1. Ye N H, Zhang X W, Mao Y Z, Liang C W, Xu D, Zou J, Zhuang Z M, Wang Q Y. 2011. ‘Green tides’ are overwhelming the coastline of our blue planet:taking the world's largest example. Ecological Research, 26(3):477-485, https://doi.org/10.1007/s11284-011-0821-8. Yu J, Li J Y, Wang Q H, Liu Y, Gong Q L. 2019. Growth and resource accumulation of drifting Sargassum horneri(Fucales, Phaeophyta) in response to temperature and nitrogen supply. Journal of Ocean University of China, 18(5):1216-1226, https://doi.org/10.1007/s11802-019-3835-4. Zhang H B, Su R G, Shi X Y, Zhang C S, Yin H, Zhou Y L, Wang G S. 2020. Role of nutrients in the development of floating green tides in the Southern Yellow Sea, China, in 2017. Marine Pollution Bulletin, 156:111197, https://doi.org/10.1016/j.marpolbul.2020.111197. Zhao X Y, Tang X X, Zhang H X, Qu T F, Wang Y. 2016. Photosynthetic adaptation strategy of Ulva prolifera floating on the sea surface to environmental changes. Plant Physiology and Biochemistry, 107:116-125, https://doi.org/10.1016/j.plaphy.2016.05.036.
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