Spatial and seasonal variations in bacterial communities of the Yellow Sea by T-RFLP analysis

Hongyuan WANG, Xiaolu JIANG, Ya HE, Huashi GUAN

PDF(142 KB)
PDF(142 KB)
Front. Environ. Sci. Eng. ›› 2009, Vol. 3 ›› Issue (2) : 194-199. DOI: 10.1007/s11783-009-0018-3
RESEARCH ARTICLE
RESEARCH ARTICLE

Spatial and seasonal variations in bacterial communities of the Yellow Sea by T-RFLP analysis

Author information +
History +

Abstract

Four typical coastal sites (rocky shore, sandy shore, mud flat shore, and artificial harbor) at the Yellow Sea were chosen to investigate the spatial and seasonal variations in bacterial communities. This was accomplished by using terminal restriction fragment length polymorphism (T-RFLP) analysis of PCR amplified 16S rDNA fragments. Two kinds of tetrameric restriction enzymes, HhaI and MspI, were used in the experiment to depict the bacterial community diversity in different marine environments. It was found that the community compositions digested by the two enzymes separately were different. However, the results of bacterial community diversity derived from them were similar. The MDA analysis results of T-RFLP profiles coming from HhaI and MspI both exhibited a significant seasonal community shift for bacteria and a relatively low spatial variation among the four locations. With HhaI as the sample, the pair wise T-tests also revealed that variations were minor between each pair of marine environments, with R ranging from 0.198 to 0.349. However, the bacterial community structure in the mud flat site depicted a larger difference than each of the other three sites (R ranging from 0.282 to 0.349).

Keywords

terminal restriction fragment length polymorphism (T-RFLP) / bacterial community structure / marine microbial diversity / HhaI / MspI

Cite this article

Download citation ▾
Hongyuan WANG, Xiaolu JIANG, Ya HE, Huashi GUAN. Spatial and seasonal variations in bacterial communities of the Yellow Sea by T-RFLP analysis. Front Envir Sci Eng Chin, 2009, 3(2): 194‒199 https://doi.org/10.1007/s11783-009-0018-3

References

[1]
Pringault O, Duran R, Jacquet S, Torréton J P. Temporal variations of microbial activity and diversity in marine tropical sediments (New Caledonia Lagoon). Microbiol Ecol, 2008, 55: 247-258
CrossRef Google scholar
[2]
Thamdrup B, Hansen J W, Jørgensen B B. Temperature dependence of aerobic respiration in a coastal sediment. FEMS Microbiol Ecol, 1998, 25: 189-200
CrossRef Google scholar
[3]
Fischer H, Wanner S C, Pusch M. Bacterial abundance and production in river sediments as related to the biochemical composition of particulate organic matter (POM). Biogeochemistry, 2002, 61: 37-55
CrossRef Google scholar
[4]
Wobus A, Bleul C, Maassen S, Scheerer C, Schuppler M, Jacobs E, Roske I. Microbial diversity and functional characterization of sediments from reservoirs of different trophic state. FEMS Microbiol Ecol, 2003, 46: 331-347
CrossRef Google scholar
[5]
Hondeveld B J M, Bak R P M, van Raaphorst W, Van Duyl F C. Impact of grazing by benthic eukaryotic organisms on the nitrogen sediment—water exchange in the North Sea. J Sea Res, 1999, 41: 255-268
[6]
Glud R N, Middelboe M. Virus and bacteria dynamics of coastal sediment: Implication for benthic carbon cycling. LimnolOceanogr, 2004, 49: 2073-2081
[7]
Tanaka T, Zohary T, Krom M D, Law CS, Pitta P, Psarra S, Rassoulzadegan F, Thingstad F, Tselepides A, Woodward E M S, Flaten G A F, Skjoldal E F, Zodiatis G. Microbial community structure and function in the Levantine Basin of the eastern Mediterranean. Deep-Sea Res. I, 2007, 54(10): 1721-1743
CrossRef Google scholar
[8]
Jerosch K, Schlüter M, Foucher J P, Allais A G, Klages M, Edy C. Spatial distribution of mud flows, chemoautotrophic communities, and biogeochemical habitats at Håkon Mosby Mud VolcanoMar Geol, 2007, 243(1-4): 1-17
[9]
Fogel G B, Collins C R, Li J, Brunk, C F. Prokaryotic genome size and SSU rDNA copy number: Estimation of microbial relative abundance from a mixed population. Microbiol Ecol, 1999, 38(1): 93-113
[10]
Dunbar J, White S, Forney L J. Genetic diversity through the looking glass: Effect of enrichment bias. Appl Environ Microbiol, 1997, 63(4): 1326-1331
[11]
Muyzer G, de Waal E C, Unitterlinden A G. Profiling of complex microbial populations by denaturing gradient gel electrophoresis analysis of polymerase chain reaction amplified genes coding for 16S rRNA. Appl Environ Microbiol, 1993, 59(3): 695-700
[12]
Wintzingerode F V, Göbel U B, Satackebrandt E. Determination of microbial diversity in environmental samples: pitfalls of PCR-based rRNA analysis. FEMS Microbiol Rev, 1997, 21(2): 213-229
CrossRef Google scholar
[13]
Marsh T L. Terminal restriction fragment length polymorphism (T-RFLP): An emerging method for characterizing diversity among homologous populations of implication products. Curr Opin. Microbiol, 1999, 2(3): 323-327
CrossRef Google scholar
[14]
Kitts C L. Terminal restriction fragment patterns: A tool for comparing microbial communities and assessing community dynamics. Curr Iss Intest Microbiol, 2001, 2(1): 17-25
[15]
Wilson B, Danilowicz B S, Meijer W G. The diversity of bacterial communities associated with atlantic cod Gadus morhua. Microbiol Ecol, 2008, 55: 425-434
CrossRef Google scholar
[16]
Massana R, Murray A E, Preston C M, de Long E F. Vertical distribution and phylogenetic characterization of marine planktonic Archaea in the Santa Barbara Channel. Appl Environ Microbiol, 1997, 63(1): 50-56
[17]
Blackwood C B, Marsh T, Kim S H, Paul E A. Terminal restriction fragment length polymorphism data analysis for quantitative comparison of Microbial communities. Appl Environ Microbiol., 2003, 69(2): 926-932
CrossRef Google scholar
[18]
Bray J R, Curtis J T. An ordination of the upland forest communities of Southern Wisconsin. Ecol Monogr, 1957, 27(2): 325-349
CrossRef Google scholar
[19]
Schiffman S S, Reynolds M L. Introduction to multidimensional scaling. Theory, Methods and Applications. London: Academic Press, 1981
[20]
Hope A C A. A simplified Monte Carlo significance test procedure. J Roy Stat Soc B, 1968, 30(3): 580-598
[21]
Wolsing M, Priemé A. Observation of high seasonal variation in community structure of denitrifying bacteria in arable soil receiving artificial fertilizer and cattle manure by determining T-RFLP of nir gene fragments. FEMS Microbiol Ecol, 2004, 48(2): 261-271
CrossRef Google scholar
[22]
Clarke K R, Warwick R M. Change in marine communities: An approach to statistical analysis and interpretation. Plymouth: Primer-E, 2001
[23]
Osborne C A, Rees G N, Bernstein Y, Janssen. P H. New threshold and confidence estimates for terminal restriction fragment length polymorphism analysis of complex bacterial communities. Appl Environ Microbiol, 2006, 72(2): 1270-1278
CrossRef Google scholar
[24]
Edlund A, Soule T, Sjoling S, Jansson. J K. Microbial community structure in polluted Baltic Sea sediments. Environ Microbiol, 2006, 8(2): 223-232
CrossRef Google scholar
[25]
Dunbar J, Ticknor L O, Kuske C R. Assessment of microbial diversity in four southwestern United States soils by 16S rRNA gene terminal restriction fragment analysisAppl Environ. Microbiol, 2000, 66(7): 2943-2950
CrossRef Google scholar
[26]
Urakawa H, Yoshida T, Nishimura M, Ohwada K. Characterization of depth-related population variation in microbial communities of a coastal marine sediment using 16S rDNA-based approaches and quinine profiling.Environ Microbiol, 2000, 2(5): 542-554
CrossRef Google scholar

Acknowledgements

This research was supported by the 908 Special Program from State Oceanic Administration—Investigation and Evaluation on Marine Medicinal Organism Sources (No. 908-01-ST12).

RIGHTS & PERMISSIONS

2014 Higher Education Press and Springer-Verlag Berlin Heidelberg
AI Summary AI Mindmap
PDF(142 KB)

Accesses

Citations

Detail

Sections
Recommended

/