Microbial Ecology

, Volume 59, Issue 3, pp 546–554 | Cite as

Seasonal and Episodic Lake Mixing Stimulate Differential Planktonic Bacterial Dynamics

  • Ashley ShadeEmail author
  • Chih-Yu Chiu
  • Katherine D. McMahon
Microbiology of Aquatic Systems


Yuan Yang Lake (YYL), Taiwan, experiences both winter and typhoon-initiated mixing, and each type of mixing event is characterized by contrasting environmental conditions. Previous work suggested that after typhoon mixing, bacterial communities in YYL reset to a pioneer composition and then follow a predictable trajectory of change until the next typhoon. Our goal was to continue this investigation by observing bacterial community change after a range of mixing intensities, including seasonal winter mixing. We fingerprinted aquatic bacterial communities in the epilimnion and hypolimnion using automated ribosomal intergenic spacer analysis and then assessed community response using multivariate statistics. We found a significant linear relationship between water column stability and the epilimnion to hypolimnion divergences. In comparison to the summer, we found the winter community had a distinct composition and less variation. We divided the bacterial community into population subsets according to abundance (rare, common, or dominant) and occurrence (transient or persistent) and further explored the contribution of these subsets to the overall community patterns. We found that transient taxa did not drive bacterial community patterns following weak typhoon mixing events, but contributed substantially to patterns observed following strong events. Common taxa generally did not follow the community trajectory after weak or strong events. Our results suggest intensity, frequency, and seasonality jointly contribute to aquatic bacterial response to mixing disturbance.


Bacterial Community Operational Taxonomic Unit Bacterial Community Composition Curtis Similarity Typhoon Event 
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 would like to thank the Global Lakes Ecological Observatory Network (GLEON) for instrumented buoy support and travel funds for winter 2007. Summer 2006 travel was supported by National Science Foundation (NSF) East Asia and Pacific Summer Institutes 2006 award to AS. NSF Microbial Observatory NSF MCB-0702395 to KDM and a grant from the National Science Council of Taiwan NSC 96-2621-B-001 to CYC supported laboratory analyses and field logistics. We thank Y Chou and W-H Wu for field assistance, A Sanders and J Tracey for technical assistance, L Beversdorf, YS Dufour, SE Jones, TK Kratz, and RJ Newton for helpful discussions and constructive criticism, and JS Read for helpful discussions and for sharing bathymetry observations. We also acknowledge support from the NSF-funded North Temperate Lakes Long Term Ecological Research Site (NTL-LTER; DEB-0217533 and DEB-0822700).


  1. 1.
    Connell JH (1978) Diversity in tropical rain forests and coral reefs—high diversity of trees and corals is maintained only in a non-equilibrium state. Science 199:1302–1310CrossRefPubMedGoogle Scholar
  2. 2.
    Gurevitch J, Scheiner SM, Fox GA (2002) Chapter 12: community properties. Chapter 13: disturbance and succession. The ecology of plants. Sinauer Associates, Inc, Sunderland, pp 235–274Google Scholar
  3. 3.
    Hastings A (1980) Disturbance, coexistence, history, and competition for space. Theor Popul Biol 18:363–373CrossRefGoogle Scholar
  4. 4.
    White PS, Pickett STA (1985) The ecology of natural disturbance and patch dynamics. Academic, Orlando, FLGoogle Scholar
  5. 5.
    White PS, Jentsch A (2001) The search for generality in studies of disturbance and ecosystem dynamics. In: Esser K, Luttge U, Kadereit JW, Beyschlag W (eds) Progress in botany, vol. 62. Springer, New York, pp 399–450Google Scholar
  6. 6.
    Shade A, Jones SE, McMahon KD (2008) The influence of habitat heterogeneity on freshwater bacterial community composition and dynamics. Environ Microbiol 10:1057–1067CrossRefPubMedGoogle Scholar
  7. 7.
    Jones SE, Chiu C-Y, Kratz TK, Wu J-T, Shade A, McMahon KD (2008) Typhoons initiate predictable change in aquatic bacterial communities. Limnol Oceanogr 53:1319–1326Google Scholar
  8. 8.
    Wu JT, Chang SC, Wang YS, Wang YF, Hsu MK (2001) Characteristics of the acidic environment of the Yuanyang Lake (Taiwan). Botanical Bulletin of Academia Sinica 42:17–22Google Scholar
  9. 9.
    Tsai JW, Kratz TK, Hanson PC, Wu JT, Chang WYB, Arzberger PW, Lin BS, Lin FP, Chou HM, Chiu CY (2008) Seasonal dynamics, typhoons and the regulation of lake metabolism in a subtropical humic lake. Freshw Biol 53:1929–1941CrossRefGoogle Scholar
  10. 10.
    Fisher MM, Triplett EW (1999) Automated approach for ribosomal intergenic spacer analysis of microbial diversity and its application to freshwater bacterial communities. Appl Environ Microbiol 65:4630–4636PubMedGoogle Scholar
  11. 11.
    Yannarell AC, Kent AD, Lauster GH, Kratz TK, Triplett EW (2003) Temporal patterns in bacterial communities in three temperate lakes of different trophic status. Microb Ecol 46:391–405CrossRefPubMedGoogle Scholar
  12. 12.
    Jones S, McMahon K (2009) Species-sorting may explain an apparent minimal effect of immigration on freshwater bacterial community dynamics. Environ Microbiol 11:905–913CrossRefPubMedGoogle Scholar
  13. 13.
    Abdo Z, Schuette UME, Bent SJ, Williams CJ, Forney LJ, Joyce P (2006) Statistical methods for characterizing diversity of microbial communities by analysis of terminal restriction fragment length polymorphisms of 16S rRNA genes. Environ Microbiol 8:929–938CrossRefPubMedGoogle Scholar
  14. 14.
    Sestanovic S, Solic M, Krstulovic N, Nincevic K (2004) Seasonal and vertical distribution of planktonic bacteria and heterotrophic nanoflagellates in the middle Adriatic Sea. Helgol Mar Res 58:83–92CrossRefGoogle Scholar
  15. 15.
    Yannarell AC, Triplett EW (2005) Geographic and environmental sources of variation in lake bacterial community composition. Appl Environ Microbiol 71:227–239CrossRefPubMedGoogle Scholar
  16. 16.
    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, Ithaca, NYGoogle Scholar
  17. 17.
    Clarke KR, Gorley RN (2006) PRIMER v6: user manual/tutorial. PRIMER-E, Plymouth UKGoogle Scholar
  18. 18.
    Clarke KR, Warwick RM (2001) Change in marine communities: an approach to statistical analysis and interpretation. PRIMER-E, Plymouth, UKGoogle Scholar
  19. 19.
    Legendre P, Legendre L (1998) Numerical ecology. Elsevier Science, BV, AmsterdamGoogle Scholar
  20. 20.
    Imberger J, Patterson JC (1990) Physical limnology. Adv Appl Mech 27:303–475CrossRefGoogle Scholar
  21. 21.
    Jones SE, Kratz TK, Chiu CY, McMahon KD (2009) Influence of typhoons on annual CO2 flux from a subtropical, humic lake. Glob Chang Biol 15:243–254CrossRefGoogle Scholar
  22. 22.
    Fisher M, Klug J, Lauster G, Newton M, Triplett E (2000) Effects of resources and trophic interactions on freshwater bacterioplankton diversity. Microb Ecol 40:125–138PubMedGoogle Scholar
  23. 23.
    Shade A, Carey CC, Kara E, Bertilsson S, McMahon KD, Smith MC (2009) Can the black box be cracked? The augmentation of microbial ecology by high-resolution, automated sensing technologies. ISME J 3:881–888CrossRefPubMedGoogle Scholar

Copyright information

© Springer Science+Business Media, LLC 2009

Authors and Affiliations

  • Ashley Shade
    • 1
    Email author
  • Chih-Yu Chiu
    • 2
  • Katherine D. McMahon
    • 3
    • 4
  1. 1.Microbiology Doctoral Training ProgramUniversity of Wisconsin-MadisonMadisonUSA
  2. 2.Research Center for BiodiversityAcademia SinicaTaipeiTaiwan
  3. 3.Department of BacteriologyUniversity of Wisconsin-MadisonMadisonUSA
  4. 4.Department of Civil and Environmental EngineeringUniversity of Wisconsin-MadisonMadisonUSA

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