Marine Biology

, Volume 153, Issue 3, pp 483–491 | Cite as

Relationships between RNA content and egg production rate in Acartia bifilosa (Copepoda, Calanoida) of different spatial and temporal origin

  • Towe HolmbornEmail author
  • Elena Gorokhova
Research Article


To evaluate factors regulating RNA content (RNA, μg RNA female−1) – egg production rate (EPR, eggs female−1 day−1) relationship and to develop a model for in situ egg production rate estimates for Acartia bifilosa, we (1) measured EPR and RNA in females sampled at geographically distant areas at varying temperature (T, °C), (2) determined environmental (station, season, and T), endogenous (prosome length (PL), mm and EPR) variables that influence RNA levels, and (3) explored a set of multiple regression models to predict EPR from RNA, PL, station, season, and T. Egg production experiments were carried out in spring and summer 2005 in the Gulf of Finland and in the western part of the northern Baltic proper. We found that up to 88% of the RNA variation could be explained by variations in PL, EPR, and season/T. In explaining the RNA variability, PL played a major role followed in order of importance by EPR and season/T. Further, PL, RNA, and season/T explained up to 53% of the variation in EPR, nearly half of which is explained by RNA alone. The effect of spatial origin was never significant, suggesting that the derived relationships are general for A. bifilosa inhabiting northern Baltic proper.


Beta Weight Prosome Length Calanus Finmarchicus Individual Copepod High Partial Correlation 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.



We thank J.-O. Persson (Mathematical Statistics, Stockholm University) for assistance with regression analysis and staff and colleagues at Tvärminne Zoological Station (Finland) and Askö Field Station (Sweden) for various help and support. We acknowledge also valuable comments from two anonymous reviewers on an earlier version of the manuscript. This study was financially supported by Walter and Andrée de Nottbeck Foundation (Finland) and Stockholm Marine Research Centre (Sweden).


  1. Ackefors H (1969) Ecological zooplankton investigations in the Baltic Proper 1963–1965. Carl Bloms boktryckeri AB, Lund, pp 1–139Google Scholar
  2. Arrhenius F (1996) Diet composition and food selectivity of 0-group herring (Clupea harengus L.) and sprat (Sprattus sprattus (L.)) in the northern Baltic Sea. ICES J Mar Sci 53:701–712CrossRefGoogle Scholar
  3. Bergeron J-P (1997) Nucleic acids in ichthyoplankton ecology: a review, with emphasis on recent advances for new perspectives. J Fish Biol 51(suppl.a):284–302CrossRefGoogle Scholar
  4. Brown JH, Gillooly JF, Allen AP, Savage VM, West GB (2004) Toward a metabolic theory of ecology. Ecology 85(7):1771–1789CrossRefGoogle Scholar
  5. Buckley L, Caldarone E, Ong T-L (1999) RNA–DNA ratio and other nucleic acid-based indicators for growth and condition of marine fishes. Hydrobiologia 401:265–277CrossRefGoogle Scholar
  6. Caldarone EM, St Onge-Burns JM, Buckley LJ (2003) Relationship of RNA/DNA ratio and temperature to growth in larvae of Atlantic cod Gadus morhua. Mar Ecol Prog Ser 262:229–240CrossRefGoogle Scholar
  7. Caldarone EM, Clemmesen CM, Berdalet E, Miller TJ, Folkvord A, Holt GJ, Olivar MP, Suthers IM (2006) Intercalibration of four spectrofluorometric protocols for measuring RNA/DNA ratios in larval and juvenile fish. Limnol Oceanogr Meth 4:153–163CrossRefGoogle Scholar
  8. Calliari D, Andersen CM, Thor P, Gorokhova E, Tiselius P (2006) Salinity modulates the energy balance and reproductive success of co-occuring copepods Acartia tonsa and A. Clausi in different ways. Mar Ecol Prog Ser 312:177–188CrossRefGoogle Scholar
  9. Carlotti F, Nival P (1992) Model of copepod growth and development: moulting and mortality in relation to physiological processes during an individual moult cycle. Mar Ecol Prog Ser 84:219–233CrossRefGoogle Scholar
  10. Cunha I, Saborido-Rey F, Planas M (2003) Use of multivariate analysis to assess the nutritional condition of fish larvae from nucleic acids and protein content. Biol Bull 204:339–349CrossRefGoogle Scholar
  11. Dahl U, Gorokhova E, Breitholtz M (2006) Application of growth-related sublethal endpoints in ecotoxicological assessments using a harpacticoid copepod. Aquat Toxicol 77:433–438CrossRefGoogle Scholar
  12. Gonzalez CRM, Bradley BP (1994) Salinity stress proteins in Eurytemora affinis. Hydrobiologia 292/293:461–468CrossRefGoogle Scholar
  13. Gorokhova E (1999) Vertical structures in the Baltic pelagic ecosystem. In: Proceedings of the third BASYS annual science conference, SP2-5, paper abstracts: 20Google Scholar
  14. Gorokhova E (2003) Relationships between nucleic acid levels and egg production rates in Acartia bifilosa: implications for growth assessment of copepods in situ. Mar Ecol Prog Ser 262:163–172CrossRefGoogle Scholar
  15. Gorokhova E (2005) Effects of preservation and storage of microcrustaceans in RNAlater on RNA and DNA degradation. Limnol Ocanogr Meth 3:143–148CrossRefGoogle Scholar
  16. Gorokhova E, Kyle M (2002) Analysis of nucleic acids in Daphnia: development of methods and ontogenetic variations in RNA–DNA content. J Plankton Res 24(5):511–522CrossRefGoogle Scholar
  17. Hansen FC, Möllmann C, Schütz U, Neumann T (2006) Spatio-temporal distribution and production of calanoid copepods in the central Baltic Sea. J Plankton Res 28(1):39–54CrossRefGoogle Scholar
  18. Ibiam U, Grant A (2005) RNA/DNA ratios as a sublethal endpoint for large-scale toxicity tests with the nematode Caenorhabditis elegans. Environ Toxicol Chem 24(5):1155–1159CrossRefGoogle Scholar
  19. Johansson S, Hanssson S, Orfelina A-N (1993) Temporal and spatial variation of coastal zooplankton in the Baltic Sea. Ecography 16:167–173CrossRefGoogle Scholar
  20. Kay AD, Ashton IW, Gorokhova E, Kerkhoff AJ, Liess A, Litchman E (2005) Toward a stoichiometric framework for evolutionary biology. Oikos 109:6–17CrossRefGoogle Scholar
  21. Kono N, Tsukamoto Y, Zenitani H (2003) RNA:DNA ratio for diagnosis of the nutritional condition of Japanese anchovy Engraulis japonicus larvae during the first-feeding stage. Fish Sci 69:1096–1102CrossRefGoogle Scholar
  22. Koski M (1999) Carbon:nitrogen ratios of Baltic Sea copepods–indication of mineral limitation? J Plankton Res 21(8):1565–1573CrossRefGoogle Scholar
  23. Koski M, Kuosa H (1999) The effect of temperature, food concentration and female size on the egg production of the planktonic copepod Acartia bifilosa. J Plankton Res 21(9):1779–1789CrossRefGoogle Scholar
  24. Koski M, Schmidt K, Engström-Öst J, Viitasalo M, Jónasdóttir S, Repka S, Sivonen K (2002) Calanoid copepods feed and produce eggs in the presence of toxic cyanobacteria Nodularia spumigena. Limnol Oceanogr 47(3):878–885CrossRefGoogle Scholar
  25. Koueta N, Castro BG, Boucaud-Camou E (2000) Biochemical indices for instantaneous growth estimation in young cephalopod Sepia officinalis L. ICES J Mar Sci 57:1–7CrossRefGoogle Scholar
  26. Kyle M, Achaya K, Weider LJ, Looper K, Elser JJ (2006) Coupling growth rate and body stoichiometry in Daphnia: a role for maintenance processes? Freshw Biol 51:2087–2095CrossRefGoogle Scholar
  27. Lee R F, Hagen W, Kattner G (2006) Lipid storage in marine zooplankton. Mar Ecol Prog Ser 307:273–306CrossRefGoogle Scholar
  28. Ljunggren L, Sandström A, Johansson G, Sundblad G, Karås P (2005) Rekryteringsproblem hos Östersjöns kustfiskbestånd. Swedish Board of Fisheries, Finfo 2005:5 (in Swedish with summary in English)Google Scholar
  29. MacKenzie BR, Alheit J, Conley DJ, Holm P, Kinze CC (2002) Ecological hypotheses for a historical reconstruction of upper trophic level biomass in the Baltic Sea and Skagerrak. Can J Fish Aquat Sci 59(1):173–190CrossRefGoogle Scholar
  30. Mercaldo-Allen R, Kuropat C, Caldarone E M (2006) A model to estimate growth in young-of-the-year tautog, Tautoga onitis, based on RNA/DNA ratio and seawater temperature. J Exp Mar Biol Ecol 329(2):187–195CrossRefGoogle Scholar
  31. Möllmann C, Köster FW (2002) Population dynamics of calanoid copepods and the implications of their predation by clupeid fish in the Central Baltic Sea. J Plankton Res 24(10):959–977CrossRefGoogle Scholar
  32. Möllmann C, Kornilovs G, Sidrevics L (2000) Long-term dynamics of main mesozooplankton species in the central Baltic Sea. J Plankton Res 22(11):2015–2038CrossRefGoogle Scholar
  33. Nakata K, Nakano H, Kikuchi H (1994) Relationship between egg productivity and RNA/DNA ratio in Paracalanus sp. in the frontal waters of the Kurshio. Mar Biol 119:591–596CrossRefGoogle Scholar
  34. Ojaveer H, Lankov A, Eero M, Kotta J, Kotta I, Lumberg A (1999) Changes in the ecosystem of the Gulf of Riga from the 1970s to the 1990s. ICES J Mar Sci 56(suppl.):33–40CrossRefGoogle Scholar
  35. Reinikanen M, Lindvall F, Meriluoto JAO, Repka S, Sivonen K, Spoof L, Wahlsten M (2002) Effects of dissolved cyanobacterial toxins on the survival and egg hatching of estuarine calanoid copepods. Mar Biol 140:577–583CrossRefGoogle Scholar
  36. Rosa R, Nunes ML (2003) Seasonal changes in nucleic acids, amino acids and protein content in juvenile Norway lobster (Nephrops norvegicus). Mar Biol 143:565–572CrossRefGoogle Scholar
  37. Rosa R, Nunes ML (2004) RNA, DNA and protein concentrations and amino acid profiles of deep-sea decapod Aristeus antennatus: an indication for seasonal variations of nutrition and growth. Aquat Living Resour 17:25–30CrossRefGoogle Scholar
  38. Runge JA, Roff JC (2000) The measurement of growth and reproductive rates. In: Harris R, Wiebe P, Lenz J, Skjoldal HR, Huntley M (eds). ICES zooplankton methodology manual, Academic, London, pp. 401–454CrossRefGoogle Scholar
  39. Rönkkönen S, Ojaveer E, Raid T, Viitasalo M (2004) Long-term changes in Baltic herring (Clupea harengus membras) growth in the Gulf of Finland. Can J Fish Aquat Sci 61:219–229CrossRefGoogle Scholar
  40. Saiz E, Calbet A, Fara A, Berdalet E (1998) RNA content of copepods as a tool for determining adult growth rates in the field. Limnol Oceanogr 43(3):465–470CrossRefGoogle Scholar
  41. Sidrevics L (1980) Investigations on the ecological characteristics of the main zooplankton species in the Central Baltic. In: Fisheries investigations in the Basin of the Baltic Sea. Riga, Avots 15:65–70 (in Russian)Google Scholar
  42. Suneetha K-B, Folkvord A, Johannessen A (1999) Responsiveness of selected condition measures of herring, Clupea harengus, larvae to starvation in relation to ontogeny and temperature. Environ Biol Fish 54:191–204CrossRefGoogle Scholar
  43. Suresh AV, Sheehan RJ (1998) Biochemical and morphological correlates of growth in diploid and triploid rainbow trout. J Fish Biol 52:588–599CrossRefGoogle Scholar
  44. Suthers IM, Cleary JJ, Battaglene SC, Evans R (1996) Relative RNA content as a measure of condition in larval and juvenile fish. Mar Freshw Res 47(2):301–307CrossRefGoogle Scholar
  45. Tanskanen S (1994) Seasonal variability in the individual carbon content of the calanoid copepod Acartia bifilosa from the northern Baltic Sea. Hydrobiologia 292/293:397–403CrossRefGoogle Scholar
  46. Viitasalo M, Koski M, Pellikka K, Johansson S (1995) Seasonal and long-term variations in the body size of planktonic copepods in the northern Baltic Sea. Mar Biol 123:241–250CrossRefGoogle Scholar
  47. Vrede T, Persson J, Aronsen G (2002) The influence of food quality (P:C ratio) on RNA:DNA ratio and somatic growth rate of Daphnia. Limnol Oceanogr 47(2):487–494CrossRefGoogle Scholar
  48. Wagner M, Durbin E, Buckley L (1998) RNA:DNA ratios as indicators of nutritional condition in the copepod Calanus finmarchius. Mar Ecol Prog Ser 162:173–181CrossRefGoogle Scholar
  49. Wagner MM, Campbell RG, Boudreau CA, Durbin EG (2001) Nucleic acids and growth of Calanus finmarchius in the laboratory under different food and temperature conditions. Mar Ecol Prog Ser 221:185–197CrossRefGoogle Scholar
  50. Winberg GG, Patalas K, Wright JC, Hillbricht-Ilkowska A, Cooper WE, Mann KH (1971) Methods for calculating productivity. In: Edmondson WT, Winberg GG (eds) A manual on methods for the assessment of secondary productivity in fresh waters (IBP Handbook No 17), Adlard and son Ltd, Bartholomew press, Dorking, pp 296–317Google Scholar

Copyright information

© Springer-Verlag 2007

Authors and Affiliations

  1. 1.Department of Systems EcologyStockholm UniversityStockholmSweden

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