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Ecotoxicology

, Volume 24, Issue 7–8, pp 1442–1449 | Cite as

Variation of phytoplankton community structure from the Pearl River estuary to South China Sea

  • Zhao-Yu Jiang
  • You-Shao WangEmail author
  • Hao Cheng
  • Cui-Ci Sun
  • Mei-Lin Wu
Article

Abstract

The Pearl River is located in the northern part of South China Sea. The environment of the Pearl River estuary (PRE) is significantly impacted by nutrients from anthropogenic activities. Along the anthropogenic pollution gradient from the PRE to South China Sea, the phylogenetic diversity and biomass of phytoplankton was examined in relation to physic-chemical variables. The richness of rbcL gene was higher in the open sea than the estuary, while the concentration of chlorophyll a (Chl a) was higher in the estuary than in the open sea. The cluster analysis of the sequences data resulted in seven phytoplankton community types and the dominant species of phytoplankton changed from Cryptophytes and Diatoms to Prymnesiophytes and Diatoms along the gradient. The community structure of phytoplankton was shaped by nutrients and salinity. The phytoplankton biomass was significantly positively affected by phosphorus, nitrite and ammonium (P < 0.01) but negatively by salinity (P < 0.05); the phytoplankton diversity was highly positively affected by salinity (P < 0.05) but negatively by silicate and nitrate (P < 0.01; P < 0.05, respectively). Anthropogenic activities played a critical role in the phytoplankton distribution and biomass of the study area. Further research is necessary to reveal the influence mechanism of environmental factors on the phytoplankton.

Keywords

South China Sea The Pearl River estuary Phytoplankton community Large subunit of ribulose-1,5-bisphosphate carboxylase (rbcL) gene Anthropogenic pollution gradient 

Notes

Acknowledgments

This research was supported by the National Natural Science Foundation of China (Nos. 41430966 and 41176101), the Projects of Guangzhou Science and Technology (No. 15020024), the projects of knowledge innovation program of State Key Laboratory of Tropical Oceanography (No. LTOZZ1402), the key projects in the National Science & Technology Pillar Program in the Eleventh Five-year Plan Period (No. 2012BAC07B0402) and the projects of knowledge innovation program of Chinese Academy of Sciences (No. KSCX2-SW-132).

Conflict of interest

The authors declare that they have no conflict of interest.

References

  1. Andersen RA, Bidigare RR, Latasa M (1996) A comparison of HPLC pigment signatures and electron microscopic observations for oligotrophic waters of the North Atlantic and Pacific Oceans. Deep Sea Res II 43(2):517–537CrossRefGoogle Scholar
  2. Ashida H, Saito Y, Kojima C, Kobayashi K, Ogasawara N, Yokota A (2003) A functional link between RuBisCO-like protein of Bacillus and photosynthetic RuBisCO. Science 302(5643):286–290CrossRefGoogle Scholar
  3. Bernardi Aubry F, Acri F, Bianchi F, Pugnetti A (2013) Looking for patterns in the phytoplankton community of the Mediterranean microtidal Venice Lagoon: evidence from ten years of observations. Sci Mar 77(1):47–60CrossRefGoogle Scholar
  4. Brettum P, Andersen T (2005) The use of phytoplankton as indicators of water quality. NIVA-report SNO 4818. Norwegian Institute for Water Research, OsloGoogle Scholar
  5. Cai WJ, Dai M, Wang Y, Zhai W, Huang T, Chen S, Zhang F, Chen Z, Wang Z (2004) The biogeochemistry of inorganic carbon and nutrients in the Pearl River estuary and the adjacent Northern South China Sea. Cont Shelf Res 24(12):1301–1319CrossRefGoogle Scholar
  6. Corredor JE, Wawrik B, Paul JH, Tran H, Kerkhof L, Lopez JM, Dieppa A, Cardenas O (2004) Geochemical rate-RNA integration study: ribulose-1,5-bisphosphate carboxylase/oxygenase gene transcription and photosynthetic capacity of planktonic photoautotrophs. Appl Environ Microb 70(9):5459–5468CrossRefGoogle Scholar
  7. Dai M, Guo X, Zhai W, Yuan L, Wang B, Wang L, Cai P, Tang T, Cai WJ (2006) Oxygen depletion in the upper reach of the Pearl River estuary during a winter drought. Mar Chem 102(1):159–169CrossRefGoogle Scholar
  8. Eisen JA, Nelson KE, Paulsen IT, Heidelberg JF, Wu M, Dodson RJ, Deboy R, Gwinn ML, Nelson WC, Haft DH, Hickey EK, Peterson JD, Durkin AS, Kolonay JL, Yang F, Holt I, Umayam LA, Mason T, Brenner M, Shea TP, Parksey D, Nierman WC, Feldblyum TV, Hansen CL, Craven MB, Radune D, Vamathevan J, Khouri H, White O, Gruber TM, Ketchum KA, Venter JC, Tettelin H, Bryant DA, Fraser CM (2002) The complete genome sequence of Chlorobium tepidum TLS, a photosynthetic, anaerobic, green-sulfur bacterium. Proc Natl Acad Sci USA 99:9509–9514CrossRefGoogle Scholar
  9. Falkowski PG, Katz ME, Knoll AH, Quigg A, Raven JA, Schofield O, Taylor FJR (2004) The evolution of modern eukaryotic phytoplankton. Science 305(5682):354–360CrossRefGoogle Scholar
  10. Gasiūnaitė ZR, Cardoso AC, Heiskanen AS, Henriksen P, Kauppila P, Olenina I, Pilkaitytė R, Purina I, Razinkovas A, Sagert S, Schubert H, Wasmund N (2005) Seasonality of coastal phytoplankton in the Baltic Sea: influence of salinity and eutrophication. Estuar Coast Shelf Sci 65(1):239–252CrossRefGoogle Scholar
  11. Han AQ, Dai MH, Kao SJ, Gan JP, Li Q, Wang LF, Zhai WD, Wang L (2012) Nutrient dynamics and biological consumption in a large continental shelf system under the influence of both a river plume and coastal upwelling. Limnol Oceanogr 57(2):486–502CrossRefGoogle Scholar
  12. Hanson TE, Tabita FR (2001) A ribulose-1,5-bisphosphate carboxylaseoxygenase (RubisCO)-like protein from Chlorobium tepidum that is involved with sulfur metabolism and the response to oxidative stress. Proc Natl Acad Sci USA 98(8):4397–4402CrossRefGoogle Scholar
  13. Harrison PJ (2000) Dynamics of nutrients and phytoplankton biomass in the Pearl River estuary and adjacent waters of Hong Kong during summer: preliminary evidence for phosphorus and silicon limitation. Mar Ecol Prog Ser 194:295–305CrossRefGoogle Scholar
  14. Harrison PJ, Yin K, Leed JHW, Gan J, Liu H (2008) Physical–biological coupling in the Pearl River estuary. Cont Shelf Res 28:1405–1415CrossRefGoogle Scholar
  15. Huang Y, Jiang D, Zhuang D, Fu J (2010) Evaluation of hyperspectral indices for chlorophyll-a concentration estimation in Tangxun Lake (Wuhan, China). Int J Environ Res Public Health 7(6):2437–2451CrossRefGoogle Scholar
  16. Kunst F, Ogasawara N, Moszer I, Albertini AM, Alloni GO, Azevedo V, Haga K (1997) The complete genome sequence of the gram-positive bacterium Bacillus subtilis. Nature 390(6657):249–256CrossRefGoogle Scholar
  17. López-Flores R, Boix D, Badosa A, Brucet S, Quintana XD (2009) Environmental factors affecting bacterioplankton and phytoplankton dynamics in confined Mediterranean salt marshes (NE Spain). J Exp Mar Biol Ecol 369(2):118–126CrossRefGoogle Scholar
  18. Lozupone C, Hamady M, Knight R (2006) UniFrac-an online tool for comparing microbial community diversity in a phylogenetic context. BMC Bioinform 7:371CrossRefGoogle Scholar
  19. Qiu D, Huang L, Zhang J, Lin S (2010) Phytoplankton dynamics in and near the highly eutrophic Pearl River estuary, South China Sea. Cont Shelf Res 30(2):177–186CrossRefGoogle Scholar
  20. Rabosky DL, Sorhannus U (2009) Diversity dynamics of marine planktonic diatoms across the Cenozoic. Nature 457(7226):183–186CrossRefGoogle Scholar
  21. Reynolds C, Huszar V, Kruk C, Naselli-Flores L, Melo S (2002) Towards a functional classification of the freshwater phytoplankton. J Plankton Res 24:417–428CrossRefGoogle Scholar
  22. Saitou N, Nei M (1987) The neighbor-joining method: a new method for reconstructing phylogenetic trees. Mol Biol Evol 4(4):406–425Google Scholar
  23. Schloss PD, Handelsman J (2006) Introducing SONS, a tool for operational taxonomic unit-based comparisons of microbial community memberships and structures. Appl Environ Microbiol 72:6773–6779CrossRefGoogle Scholar
  24. Shen PP, Li G, Huang LM, Zhang JL, Tan YH (2011) Spatio-temporal variability of phytoplankton assemblages in the Pearl River estuary, with special reference to the influence of turbidity and temperature. Cont Shelf Res 31(16):1672–1681CrossRefGoogle Scholar
  25. Spatharis S, Tsirtsis G, Danielidis DB, Chi TD, Mouillot D (2007) Effects of pulsed nutrient inputs on phytoplankton assemblage structure and blooms in an enclosed coastal area. Estuar Coast Shelf Sci 73:807–815CrossRefGoogle Scholar
  26. Suikkanen S, Laamanen M, Huttunen M (2007) Long-term changes in summer phytoplankton communities of the open northern Baltic Sea. Estuar Coast Shelf Sci 71(3):580–592CrossRefGoogle Scholar
  27. Sun CC, Wang YS, Sun SL, Zhang FQ (2006) Dynamic analysis of phytoplankton community characteristics in Daya Bay, China. Acta Ecol Sin 26(12):3948–3958CrossRefGoogle Scholar
  28. Sun CC, Wang YS, Wu ML, Dong JD, Wang YT, Sun FL, Zhang YY (2011) Seasonal variation of water quality and phytoplankton response patterns in Daya Bay, China. Int J Environ Res Pub Health 8(7):2951–2966CrossRefGoogle Scholar
  29. Sun CC, Wang YS, Li QP, Yue WZ, Wang YT, Sun FL, Peng YL (2012) Distribution characteristics of transparent exopolymer particles in the Pearl River estuary. China. J Geophys Res 117:G00N17Google Scholar
  30. Suzuki K, Handa N, Kiyosawa H, Ishizaka J (1997) Temporal and spatial distribution of phytoplankton pigments in the central Pacific Ocean along 175°E during the boreal summers of 1992 and 1993. J Oceanogr 53:383–396CrossRefGoogle Scholar
  31. Tabita FR (1999) Microbial ribulose 1,5-bisphosphate carboxylase/oxygenase: a different perspective. Photosynth Res 60(1):1–28CrossRefGoogle Scholar
  32. Tamura K, Peterson D, Peterson N, Stecher G, Nei M, Kumar S (2011) MEGA5: molecular evolutionary genetics analysis using maximum likelihood, evolutionary distance, and maximum parsimony methods. Mol Biol Evol 28(10):2731–2739CrossRefGoogle Scholar
  33. ter Braak CJF, Smilauer P (2002) CANOCO reference manual and CanoDraw for Windows user’s guide: software for canonical community ordination (version 4.5). Microcomputer Power, IthacaGoogle Scholar
  34. Wang YS, Lou ZP, Sun CS, Wu ML, Han SH (2006) Multivariate statistical analysis of water quality and phytoplankton characteristics in Daya Bay, China, from 1999 to 2002. Oceanologia 48:193–211Google Scholar
  35. Wang YS, Lou ZP, Sun CC, Sun S (2008) Ecological environment changes in Daya Bay, China, from 1982 to 2004. Mar Pollut Bull 56:1871–1879CrossRefGoogle Scholar
  36. Wang YS, Sun CC, Lou ZP, Wang H, Mitchell BG, Wu ML, Sun ZX (2011) Identification of water quality and benthos characteristics in Daya Bay, China, from 2001 to 2004. Oceanol Hydrobiol Stud 40(1):82–95CrossRefGoogle Scholar
  37. Watson GM, Tabita FR (1997) Microbial ribulose 1,5-bisphosphate carboxylase/oxygenase: a molecule for phylogenetic and enzymological investigation. FEMS Microbiol Lett 146(1):13–22CrossRefGoogle Scholar
  38. Watson GM, Yu JP, Tabita FR (1999) Unusual ribulose 1,5-bisphosphate carboxylase/oxygenase of anoxic Archaea. J Bacteriol 181(5):1569–1575Google Scholar
  39. Wawrik B, Paul JH (2004) Phytoplankton community structure and productivity along the axis of the Mississippi River plume in oligotrophic Gulf of Mexico waters. Aquat Microb Ecol 35(2):185–196CrossRefGoogle Scholar
  40. Wawrik B, Paul JH, Campbell L, Griffin D, Houchin L, Fuentes-Ortega A, Muller-Karger FE (2003) Vertical structure of the phytoplankton community associated with a coastal plume in the Gulf of Mexico. Mar Ecol Prog Ser 251:87–101CrossRefGoogle Scholar
  41. Wu P, Wang YS, Sun FL, Wu ML, Peng YL (2014) Bacterial polycyclic aromatic hydrocarbon ring-hydroxylating dioxygenases in the sediments from the Pearl River estuary, China. Appl Microbiol Biotechnol 98(2):875–884CrossRefGoogle Scholar
  42. Yin K, Qian PY, Wu MC, Chen JC, Huang L, Song X, Jian W (2001) Shift from P to N limitation of phytoplankton growth across the Pearl River estuarine plume during summer. Mar Ecol Prog Ser 221:17–28CrossRefGoogle Scholar

Copyright information

© Springer Science+Business Media New York 2015

Authors and Affiliations

  • Zhao-Yu Jiang
    • 1
  • You-Shao Wang
    • 1
    • 2
    Email author
  • Hao Cheng
    • 1
  • Cui-Ci Sun
    • 1
    • 2
  • Mei-Lin Wu
    • 1
  1. 1.State Key Laboratory of Tropical Oceanography, South China Sea Institute of OceanologyChinese Academy of SciencesGuangzhouChina
  2. 2.Daya Bay Marine Biology Research StationChinese Academy of SciencesShenzhenChina

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