PL EN


Preferencje help
Widoczny [Schowaj] Abstrakt
Liczba wyników
2006 | 27 | 1 |

Tytuł artykułu

Differences in the relationship between bacterial count decay and storage time in Antarctic freshwater samples

Autorzy

Warianty tytułu

Języki publikacji

EN

Abstrakty

EN
The mathematical model that described the relationship between cell-count decay and storage time in fixed bacterioplankton samples from three Antarctic lakes of differing trophic status was determined after a one-year experiment. Bacterial density was estimated by epifluorescence microscopy. Cell count data fitted a negative exponential model in all three cases (p < 0.00001). However, the slopes of their curves were significantly different (p < 0.01), as well as the percentage of bacterial loss after a period of two months. This fact might be related to the limnological characteristics of the water bodies, though the individual genetic variability of their bacterioplankton should not be left aside. Original bacterial numbers in the samples could also be a reason of the differences observed in the pattern of decay in cell counts. Thus, applying a general decay function to any sample and assuming the idea that freshwater bacterioplankton samples can be stored for a two month-period before the bacterial counts decay, can lead to an erroneous estimation of bacterial numbers with direct consequences in ecological investigations.

Wydawca

-

Rocznik

Tom

27

Numer

1

Opis fizyczny

p.63-69,fig.,ref.

Twórcy

autor
  • University of Buenos Aires, [C1428 EHA], Buenos Aires, Argentina

Bibliografia

  • Azam F., Fenchel T., Field F.G., Gray J.S., Meyer-Reil L.A. andThingstad F. 1983. The ecological role of water-column microbes in the sea. Marine Ecology Progress Series 10: 257-263. Gasol J.M. and Del Giorgio P.A. 2000. Using flow cytometry for counting natural planktonic bacteria and understanding the structure of planktonic communities. Scientia Marina 64: 197-224.
  • Kepner R.L. and Pratt J.R. 1994. Use of fluorochromes for direct enumeration of total bacteria in environmental samples: past and present. Microbiological Reviews 58: 603-615.
  • Kirchman D.L., Sigda J., Kapuscinski R. and Mitchell R. 1982. Statistical analysis of the direct count method for enumerating bacteria. Applied and Environmental Microbiology 44: 376-382.
  • Laybourn-Parry J. 1997. The microbial loop in Antarctic lakes. In: C. Lyons, C. Howard-Williams and I. Hawes (eds) Ecosystem Processes in Antarctic Ice-free Landscapes. Balkema, Rotterdam: 231-239.
  • Laybourn-Parry J., James M.R., Mcknight D.M., Priscu J., Spaulding S.A. and Shiel R. 1997. The microbial plankton of Lake Fryxell, southern Victoria Land, Antarctica, during the summers of 1992 and 1994. Polar Biology 17: 62-68.
  • Izaguirre I., Vinocur A., MataloniG. and Pose M. 1998. Comparison of phytoplankton communities in relation to trophic status in lakes from Hope Bay (Antarctic Peninsula). Hydrobiologia 369/370: 73-87.
  • Izaguirre I., Mataloni G., Allende L. and Vinocur A. 2001. Summer fluctuations of microbial planktonic communities in a eutrophic lake - Cierva Point, Antarctica. Journal ofPlankton Research 23: 1095-1109.
  • Izaguirre I., Allende L. and Marinone C. 2003. Comparative study of the planktonic communities from lakes of contrasting trophic status at Hope Bay (Antarctic Peninsula). Journal of Plankton Research 25:1079-1097.
  • Pearce D.A. and Butler H.G. 2002. Short-term stability of the microbial community structure in a Maritime Antarctic Lake. Polar Biology 25: 479-487.
  • Sorokin Y.I. 1999. Aquatic Microbial Ecology. Backhuys Publishers, Leiden, The Netherlands: 48-80.
  • Takacs C.D. and Priscu J.C. 1998. Bacterioplankton dynamics in the McMurdo Dry Valley Lakes, Antarctica: production and biomass loss over four seasons. Microbial Ecology 36: 239-250.
  • Turley C.M. 1993. Direct estimates of bacterial numbers in seawater without incurring cell loss due to sample storage. In: P.F. Kemp, B.F. Sherr, E.B. Sherr and J.J. Cole (eds) Handbook of Methods in Aquatic Microbial Ecology. Lewis Publishers, Boca Raton, London, New York, Washington DC: 143-148.
  • Zar J.H. 1996. Comparing simple linear regression equations. In: S. Fisher (ed.) Biostatistical Analysis. Prentice Hall, New Jersey: 353-370.

Typ dokumentu

Bibliografia

Identyfikatory

Identyfikator YADDA

bwmeta1.element.agro-article-a7495892-fd10-4471-a8e6-8bc1e5a6740b
JavaScript jest wyłączony w Twojej przeglądarce internetowej. Włącz go, a następnie odśwież stronę, aby móc w pełni z niej korzystać.