Phytoplankton diversity in the East China Sea and Yellow Sea measured by PCR-DGGE and its relationships with environmental factors

Jing Sun; Zhigang Yu; Yahui Gao; Qianqian Zhou; Yu Zhen; Hongtao Chen; Liyuan Zhao; Qingzhen Yao; Tiezhu Mi

doi:10.1007/s00343-010-9285-x

Your Location：

Home >

Browse articles >

Phytoplankton diversity in the East China Sea and Yellow Sea measured by PCR-DGGE and its relationships with environmental factors

Updated：2023-05-16

- Phytoplankton diversity in the East China Sea and Yellow Sea measured by PCR-DGGE and its relationships with environmental factors
- Journal of Oceanology and Limnology Vol. 28, Issue 2, Pages: 315-322(2010)
- Affiliations：
  
  1. College of Marine Life Sciences Ocean University of China
  2. Key Laboratory of Marine Chemistry Theory and Technology Ministry of Education Ocean University of China
  3. School of Life Sciences Xiamen University
  4. Key Laboratory of Marine Environment and Ecology Ministry of Education Ocean University of China
- Author bio：
- Funds：
- DOI：10.1007/s00343-010-9285-x
  CLC：
- Online First：20 March 2010，
  
  Published：2010
- Accepted：
Scan QR Code
Sun, J., Yu, Z., Gao, Y. et al. Phytoplankton diversity in the East China Sea and Yellow Sea measured by PCR-DGGE and its relationships with environmental factors., Chin. J. Ocean. Limnol. 28, 315–322 (2010). https://doi.org/10.1007/s00343-010-9285-x
DOI：

Sun, J., Yu, Z., Gao, Y. et al. Phytoplankton diversity in the East China Sea and Yellow Sea measured by PCR-DGGE and its relationships with environmental factors., Chin. J. Ocean. Limnol. 28, 315–322 (2010). https://doi.org/10.1007/s00343-010-9285-x DOI：

摘要

Abstract

Relationships between phytoplankton community composition and environmental variables in the East China Sea (ECS) and Yellow Sea (YS) were investigated using geochemical and molecular microbiology methods. The diversity of phytoplankton was characterized using cultivation-independent PCR-based denaturing gradient gel electrophoresis (DGGE). Groups resulting from unweighted pair-group method with arithmetic averages clustering of the DGGE profiles showed good consistency with the eco-environmental characteristics of the sea area they belonged to. Additionally

the clustering results based on DGGE fingerprinting and those based on morphological compositions were practically identical. The relationship of phytoplankton diversity to environmental factors was statistically analyzed. Temperature

dissolved inorganic nitrogen (DIN)

and silicate-Si were found significantly related to the phytoplankton community composition. Canonical correspondence analysis (CCA) was performed to reveal the relationship between community composition and these three environmental factors. Generally

values of the ECS are clearly separated from those of the YS in the CCA biplot

due to mainly the effect of temperature and DIN.

关键词

Keywords

references

Al-Qutob M. 2001. Nutrient distributions and dynamics in the Gulf of Eilat (Aqaba), Red Sea. PhD thesis, Bar-Ilan University, Ramat-Gan, Israel.

Ault T, Velzeboer R, Zammit R. 2000. Influence of nutrient availability on phytoplankton growth and community structure in the Port Adelaide River, Australia: bioassay assessment of potential nutrient limitation. Hydrobiologia, 429: 89–103.

Beaugrand G. 2005. Monitoring pelagic ecosystems using plankton indicators. ICES J. Mar. Sci., 62: 333–338.

Blaiotta G, Pennacchia C, Ercolini D et al. 2003. Combining denaturing gradient gel electrophoresis of 16S rDNA V3 region and 16S–23S rDNA spacer region polymorphism analyses for the identification of staphylococci from Italian fermented sausages. Syst. Appl. Microbiol., 26: 423–433.

Brogueira M J, Oliveira M R, Cabecadas G. 2007. Phytoplankton community structure defined by key environmental variables in Tagus estuary, Portugal. Mar. Environ. Res., 64(5): 616–628.

Conley D J, Malone T C. 1992. Annual cycle of dissolved silicate in Chesapeake Bay: Implications for the production and fate of phytoplankton biomass. Mar. Ecol. Prog. Ser., 81: 121–128.

Diez B, Pedros-Alio C, Marsh T L et al. 2001. Application of denaturing gradient gel electrophoresis (DGGE) to study the diversity of marine picoeukaryotic assemblages and comparison of DGGE with other molecular techniques. Appl. Environ. Microbiol., 67(7): 2 942–2 951.

Dugdale R C, Wilkerson F P, Minas H J. 1995. The role of a silicate pumping driving new production. Deep-Sea Res I, 42(5): 697–719.

Fischer S G, Lerman L S. 1979. Length-independent separation of DNA restriction fragments in two-dimensional gel electrophoresis. Cell, 16(1): 191–200.

Furuya K, Hayashi M, Yabushita Y et al. 2003. Phytoplankton dynamics in the East China Sea in spring and summer as revealed by HPLC-derived pigment signatures. Deep-Sea Res II, 50: 367–387.

Gast R J, Dennett M R, Caron D A. 2004. Characterization of protistan assemblages in the Ross Sea, Antarctica by denaturing gradient gel electrophoresis. Appl. Environ. Microbiol., 70: 2 028–2 037.

GB 17378.4-2007. The specification for marine monitoring-Part 4: Seawater analysis.

Hassena M B, Hamza A, Drira Z et al. 2009. Phytoplankton-pigment signatures and their relationship to spring-summer stratification in the Gulf of Gabes. Estuar. Coast. Shelf Sci., 83(3): 296–306.

Hodgkiss I J, Lu S H. 2004. The effects of nutrients and their ratios on phytoplankton abundance in Junk Bay, Hong Kong. Hydrobiology, 512: 215–229.

Labry C, Herbland A, Delmas D. 2002. The role of phosphorus on planktonic production of the Gironde plume waters in the Bay of Biscay. J. Plan. Res., 24: 97–117.

Lindström E S. 2000. Bacterioplankton community composition in five lakes differing in trophic status and humic content. Microb. Ecol., 40: 104–113.

Magurran A E. 1988. Ecological Diversity and its Measurement. Princeton University Press, Princeton, NJ. p. 179.

Jiao N Z, Yang Y H, Hong N et al. 2005. Dynamics of autotrophic picoplankton and heterotrophic bacteria in the East China Sea. Con. Shelf Res., 25: 1 265–1 279.

Meroth C B, Walter J, Hertel C et al. 2003. Monitoring the bacterial population dynamics in sourdough fermentation processes by using PCR-denaturing gradient gel electrophoresis. Appl. Environ. Microbiol., 69: 475–482.

Paul J T, Ramaiah N, Sardessai S. 2008. Nutrient regimes and their effect on distribution of phytoplankton in the Bay of Bengal. Mar. Environ. Res., 66(3): 337–344.

Piehler M F, Twomey L J, Hall N S et al. 2004. Impacts of inorganic nutrient enrichment on phytoplankton community structure and function in Pamlico Sound, NC,USA. Estuar. Coast. Shelf Sci., 61: 197–209.

Sapp M, Wichels A, Wiltshire K H et al. 2007. Bacterial community dynamics during winter-spring transition in the North Sea. FEMS Microbiol. Ecol., 59: 622–637.

Shen Z L. 1993. The effect of physico-chemical environment on the primary production in the Yangtze River estuary. Trans. Oceanol. Limnol., 1: 47–51. (in Chinese)

Shen G Y, Shi B Z. 1996. Marine Ecology. Xiamen University Press, Xiamen, China. p. 26. (in Chinese)

Sinha R P, Dautz M, Hader D P. 2001. A simple and efficient method for the quantitative analysis of thymine dimers in cyanobacteria, phytoplankton and macroalgae. Acta Protozool., 40: 187–195.

Ter Braak C J F. 1986. Canonical correspondence analysis: a new eigenvector technique for multivariate direct gradient analysis. Ecology, 67: 1 167–1 179.

Wang J, Xie P, Takamura N et al. 2004. The picophytoplankton in three Chinese lakes of different trophic status and its relationship to fish populations. J. Freshw. Ecol., 19: 285–293.

Yan Q Y, Yu Y H, Feng W S et al. 2007. Genetic diversity of plankton community as depicted by PCR-DGGE fingerprinting and its relation to morphological composition and environmental factors in Lake Donghu. Mirob. Ecol., 54: 290–297.

Yu Y H, Yan Q Y, Feng W S. 2008. Spatiotemporal heterogeneity of plankton communities in Lake Donghu, China, as revealed by PCR-denaturing gradient gel electrophoresis and its relation to biotic and abiotic factors. FEMS Microbiol. Ecol., 63: 328–337.

Yuan Q, Wang Y L, Shen X Q. 2005. Influence of nitrogen and phosphate on phytoplankton in the middle and northern part of East China Sea. Marine Environmental Science, 24(4): 5–8.

Zeidner G, Beja O. 2004. The use of DGGE analyses to explore eastern Mediterranean and Red Sea marine picophytoplankton assemblage. Environ. Microbiol., 6(5): 528–534.

Zhou M J, Yan T, Zou J Z. 2003. Preliminary analysis of the characteristics of red tide areas in Changjiang River estuary and its adjacent sea. Chin. J. Appl. Ecol., 14(7):1 031–1 038.

Views

Downloads

CSCD

Alert me when the article has been cited

Submit

Tools

Publicity Resources

Spatio-temporal variability of surface chlorophyll a in the Yellow Sea and the East China Sea based on reconstructions of satellite data of 2001–2020

Screening for lipophilic marine toxins and their potential producers in coastal waters of Weihai in autumn, 2020

Methane in the Yellow Sea and East China Sea: dynamics, distribution, and production

Two new marine benthic diatom species of Hippodonta (Bacillariophyceae) from the coast of China: H. nanjiensis sp. nov. and H. qingdaoensis sp. nov.

Numerical simulation and preliminary analysis of typhoon waves during three typhoons in the Yellow Sea and East China Sea

Related Author

Weichen XIE

Tao WANG

Wensheng JIANG

Huixia GENG

Hongxiao SUN

Chao LIU

Fanzhou KONG

Qingchun ZHANG

Related Institution

Key Laboratory of Marine Environment and Ecology, Ocean University of China

College of Oceanic and Atmospheric Sciences, Ocean University of China

CAS Key Laboratory of Marine Ecology and Environmental Sciences, Institute of Oceanology, Chinese Academy of Sciences

Laboratory for Marine Ecology and Environmental Science, Pilot National Laboratory for Marine Science and Technology (Qingdao)

University of Chinese Academy of Sciences

Address：Editorial Office of JOL, 88 Haijun Rd. Qingdao, 266000, China
Tel：+86-532-82898754 Email：jol@qdio.ac.cn
Technical support is provided by Beijing Founder electronics co., LTD 京ICP备09064830号-19 京公网安备11010802024621
It is recommended to read the content of this site in Chrome&IE9+. Please switch to extreme mode in browser 360.
Cookies We use cookies to help provide and enhance our service and tailor content. By continuing, you agree to the use of cookies.

⁰