WANG Lei, HUANG Bangqin, LIU Xin, XIAO Wupeng. The modification and optimizing of the CHEMTAX running in the South China Sea[J]. Acta Oceanologica Sinica, 2015, 34(2): 124-131. doi: 10.1007/s13131-015-0621-z
Citation: WANG Lei, HUANG Bangqin, LIU Xin, XIAO Wupeng. The modification and optimizing of the CHEMTAX running in the South China Sea[J]. Acta Oceanologica Sinica, 2015, 34(2): 124-131. doi: 10.1007/s13131-015-0621-z

The modification and optimizing of the CHEMTAX running in the South China Sea

doi: 10.1007/s13131-015-0621-z
  • Received Date: 2013-10-02
  • Rev Recd Date: 2014-02-24
  • In order to determine the phytoplankton community composition, the modification and optimizing of the CHEMical TAXonomy (CHEMTAX) running was carried out through samples grouping, successive run and evaluate the results for HPLC-pigment samples in the South China Sea (SCS). The vertical distribution of the ratio of pigment to total Chl a (TChl a) exhibited three different patterns, including increasing with depth pattern (e.g., But-Fuco), decreasing with depth pattern (e.g., Zea) and increasing at deep chlorophyll maximum (DCM) pattern (e.g., Hex-Fuco). The vertical profiles for Fuco/TChl a and Pras/TChl a was higher in coast than in the shelf and basin, and the Zea and Dv-Chl a expressed conversely. So the samples in the coastal stations must be separated for the cluster analysis group procedure in the SCS. Successive run was introduced into the CHEMTAX calculation and the output results were evaluated by the convergence of pigment/TChl a ratios. Most of the ratios were well converged at the fifth running, except Zea/TChl a for Prochlorococcus and Chl b/TChl a for prasinophytes and so on. To evaluate the fifth running's results, haptophytes_8 and chlorophytes were two phytoplankton groups with much uncertainty. But the fifth estimated value was better than running once was supported by the regression evidence between the measured pigment concentration and calculation values. Synechococcus was another component with much mutability, and the CHEMTAX's result should be compared to the flow cytometry's cell abundance.
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  • Cailliau C, Claustre H, Vidussi F, et al. 1996. Carbon biomass, and gross growth rates as estimated from 14C pigment labelling, during photoacclimation in Prochlorococcus CCMP 1378. Mar Ecol Prog Ser, 145: 209-221
    Eker-Develi E, Berthon J F, Canuti E, et al. 2012. Phytoplankton taxon-omy based on CHEMTAX and microscopy in the northwestern Black Sea. J Mar Syst, 94: 18-32
    Everitt D A, Wright S W, Volkman J K, et al. 1990. Phytoplankton community compositions in the western equatorial Pacific deter-mined from chlorophyll and carotenoid pigment distribution. Deep-Sea Res Part A, 37(6): 975-997
    Fasham M J R. 2003. Ocean biogeochemistry: the role of the ocean carbon cycle in global change. In: Global Change-The IGBP Series. Berlin: Springer
    Field C B, Behrenfeld M J, Randerson J T, et al. 1998. Primary product-ion of the biosphere: integrating terrestrial and oceanic compone-nts. Science, 281(5374): 237-240Furuya K, Hayashi M, Yabushita Y. 1998. HPLC determination of phytoplankton pigments using N, N-Dimethylformamide. J Ocea-nogr, 54(2): 199-203
    Gieskes W W C, Kraay G W. 1983. Unknown chlorophyll a derivitives in the North Sea and the tropical Atlantic Ocean revealed by HPLC analysis. Limnol Oceanogr, 28(4): 757-766
    Gieskes W W C, Kraay G W, Nontji A, et al. 1988. Monsoonal alternati-on of a mixed and a layered structure in the phytoplankton of the euphotic zone of the Banda Sea (Indonesia): a mathematical anal-ysis of algal pigment fingerprints. Netherlands Journal of Sea Res-earch, 22(2): 123-137
    Goericke R, Montoya J P. 1998. Estimating the contribution of microa-lgal taxa to chlorophyll a in the field-variations of pigment ratios under nutrient and light-limited growth. Mar Ecol Prog Ser, 169: 97-112
    Guisande C, Barreiro A, Acuña A, et al. 2008. Testing of the CHEMTAX program in contrasting Neotropical lakes, lagoons, and swamps. Limnol Oceanogr Methods, 6: 643-652
    Hashihama F, Horimoto N, Kanda J, et al. 2008. Temporal variation in phytoplankton composition related to water mass properties in the central part of Sagami Bay. J Oceanogr, 64(1): 23-37
    Jeffrey S W, Mantoura R F C, Wright S W. 1997. Phytoplankton Pigme-nts in Oceanography: Guidelines to Modern Methods. Paris: UNESCO Publishing
    Jeffrey S W, Wright S W, Zapata M. 1999. Recent advances in HPLC pigment analysis of phytoplankton. Mar Freshwater Res, 50(8): 879-896
    Johnson P W, Sieburth J M. 1979. Chroococcoid cyanobacteria in the sea: A ubiquitous and diverse phototrophic biomass. Limnol Oce-anogr, 24(5): 928-935
    Kana T M, Glibert P M. 1987. Effect of irradiances up to 2000 μE m-2 S-1 on marine Synechococcus WH7803: 1. Growth, pigmentation, and cell composition. Deep-Sea Res, 34(4): 479-495
    Latasa M. 2007. Improving estimations of phytoplankton class abund-ances using CHEMTAX. Mar Ecol Prog Ser, 329: 13-21
    Latasa M, Scharek R, Vidal M, et al. 2010. Preferences of phytoplankt-on groups for waters of different trophic status in the northweste-rn Mediterranean Sea. Mar Ecol Prog Ser, 407: 27-42
    Letelier R M, Bidigare R R, Hebel D V, et al. 1993. Temporal variability of phytoplankton community structure based on pigment analysis. Limnol Oceanogr, 38(7): 1420-1437
    Lewitus A J, White D L, Tymowski R G, et al. 2005. Adapting the CHE-MTAX method for assessing phytoplankton taxonomic compositi-on in southeastern U.S. estuaries. Estuaries, 28(1): 160-172
    Liu Hongbin, Chang Jeng, Tseng C M, et al. 2007. Seasonal variability of picoplankton in the northern South China Sea at the SEATS station. Deep-Sea Res Part II, 54(14-15): 1602-1616
    Liu Xin, Huang Bangqin, Liu Zhiyu, et al. 2012. High-resolution phyt-oplankton diel variations in the summer stratified central Yellow Sea. J Oceanogr, 68(6): 913-927
    Mackey D J, Higgins H W, Mackey M D, et al. 1998. Algal class abund-ances in the western equatorial Pacific: Estimation from HPLC measurements of chloroplast pigments using CHEMTAX. Deep-Sea Res Part I, 45(9): 1441-1468
    Mackey M D, Mackey D J, Higgins H W, et al. 1996. CHEMTAX-a program for estimating class abundances from chemical markers: application to HPLC measurements of phytoplankton. Mar Ecol Prog Ser, 144: 265-283
    Mackey M D, Higgins H W, Mackey D J, et al. 1997. CHEMTAX User's Manual: a program for estimating class abundances from chemic-al markers-application to HPLC measurements of phytoplank-ton pigments. Hobart, Tas: CSIRO Marine Laboratories, 229
    Mendes C R, Cartaxana P, Brotas V. 2007. HPLC determination of phytoplankton and microphytobenthos pigments: comparing resolution and sensitivity of a C18 and a C8 method. Limnol Ocean-ogr: Methods, 5: 363-370
    Mendes C R, Sá C, Vitorino J, et al. 2011. Spatial distribution of phyto-plankton assemblages in the Nazaré submarine canyon region (Portugal): HPLC-CHEMTAX approach. J Mar Syst, 87(1): 90-101
    Moore L R, Goericke R, Chisholm S W. 1995. Comparative physiology of Synechococcus and Prochlorococcus: influence of light and tem-perature on growth, pigments, fluorescence and absorptive prop-erties. Mar Ecol Prog Ser, 116(1-3): 259-275
    Saldarriaga J F, Taylor F J R, Keeling P J, et al. 2001. Dinoflagellate nuclear SSU rRNA phylogeny suggests multiple plastid losses and replacements. J Mol Evol, 53(3): 204-213
    Sarmento H, Descy J P. 2008. Use of marker pigments and functional groups for assessing the status of phytoplankton assemblages in lakes. J Appl Phycol, 20(6): 1001-1011
    Sieracki C K, Sieracki M E, Yentsch C S. 1998. An imaging-in-flow system for automated analysis of marine microplankton. Mar Ecol Prog Ser, 168: 285-296
    Ston J, Kosakowska A. 2000. Qualitative and quantitative analysis of Baltic phytoplankton pigments. Oceanologia, 42(4): 449-471
    Utermöhl H. 1958. Zur Vervollkommnung der quantitativen Phytopl-ankton-Methodik. Mitt Int Ver Theor Angew Limnol, 9: 1-38
    Zapata M, Ayala A M, Franco J M, et al. 1987. Separation of chlorophy-lls and their degradation products in marine phytoplankton by reversed-phase high-performance liquid chromatography. Chro-matographia, 23(1): 26-30
    Zapata M, Rodríguez F, Garrido J L. 2000. Separation of chlorophylls and carotenoids from marine phytoplankton: a new HPLC meth-od using a reversed phase C8 column and pyridine-containing mobile phases. Mar Ecol Prog Ser, 195: 29-45
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