Abstract
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.
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References
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 199:1302–1310
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 235–274
Hastings A (1980) Disturbance, coexistence, history, and competition for space. Theor Popul Biol 18:363–373
White PS, Pickett STA (1985) The ecology of natural disturbance and patch dynamics. Academic, Orlando, FL
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 399–450
Shade A, Jones SE, McMahon KD (2008) The influence of habitat heterogeneity on freshwater bacterial community composition and dynamics. Environ Microbiol 10:1057–1067
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 53:1319–1326
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 42:17–22
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 53:1929–1941
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 65:4630–4636
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 46:391–405
Jones S, McMahon K (2009) Species-sorting may explain an apparent minimal effect of immigration on freshwater bacterial community dynamics. Environ Microbiol 11:905–913
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 8:929–938
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 58:83–92
Yannarell AC, Triplett EW (2005) Geographic and environmental sources of variation in lake bacterial community composition. Appl Environ Microbiol 71:227–239
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, NY
Clarke KR, Gorley RN (2006) PRIMER v6: user manual/tutorial. PRIMER-E, Plymouth UK
Clarke KR, Warwick RM (2001) Change in marine communities: an approach to statistical analysis and interpretation. PRIMER-E, Plymouth, UK
Legendre P, Legendre L (1998) Numerical ecology. Elsevier Science, BV, Amsterdam
Imberger J, Patterson JC (1990) Physical limnology. Adv Appl Mech 27:303–475
Jones SE, Kratz TK, Chiu CY, McMahon KD (2009) Influence of typhoons on annual CO2 flux from a subtropical, humic lake. Glob Chang Biol 15:243–254
Fisher M, Klug J, Lauster G, Newton M, Triplett E (2000) Effects of resources and trophic interactions on freshwater bacterioplankton diversity. Microb Ecol 40:125–138
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 3:881–888
Acknowledgments
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).
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Shade, A., Chiu, CY. & McMahon, K.D. Seasonal and Episodic Lake Mixing Stimulate Differential Planktonic Bacterial Dynamics. Microb Ecol 59, 546–554 (2010). https://doi.org/10.1007/s00248-009-9589-6
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DOI: https://doi.org/10.1007/s00248-009-9589-6