Journal of Forest and Environmental Science

Institute of Forest Science, kangwon National University (강원대학교 산림과학연구소)
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Effects of Experimental Drought on Soil Bacterial Community in a Larix Kaempferi Stand

  • Kim, Beomjeong (Graduate School of Forestry and Environmental Systems, Kangwon National University) ;
  • Choi, Byoungkoo (Division of Forest Sciences, Kangwon National University)
  • Received : 2018.01.31
  • Accepted : 2018.06.12
  • Published : 2018.06.30
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Abstract

Drought alters soil microorganisms; however, it is still not clear how soil microbes respond to severe drought conditions. In this study, the responses of soil bacterial community to experimental drought in a coniferous stand were examined. Six $6m{\times}6m$ plots with three replicates of control and drought treatments were delimited. PCR amplification and Illumina sequencing were conducted for cluster analysis of soil bacterial community and species richness and species diversity was analyzed. Along the 393 days of simulated drought from July 2016 to October 2017, soil bacterial species diversity slightly increased whereas species richness decreased in both control and roof plots. Moreover, soil bacterial species richness more decreased in roof plots than in controls. Combining these results, soil bacterial activity might have been altered by simulated drought.

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References

  1. Altschul SF, Gish W, Miller W, Myers EW, Lipman DJ. 1990. Basic local alignment search tool. J Mol Biol 215: 403-410. https://doi.org/10.1016/S0022-2836(05)80360-2
  2. Bauhus J, Khanna PK. 1999. The signifcance of microbial biomass in forest soils in: Going underground - ecological studies in forest soils (Rastin N, Bauhus J, eds). Research Signpost, Trivandrum, India, pp 77-110.
  3. Bolger AM, Lohse M, Usadel B. 2014. Trimmomatic: a fexible trimmer for Illumina sequence data. Bioinformatics 30: 2114-2120. https://doi.org/10.1093/bioinformatics/btu170
  4. Chodak M, Golebiewski M, Morawska-Ploskonka J, Kuduk K, Niklinska M. 2015. Soil chemical properties affect the reaction of forest soil bacteria to drought and rewetting stress. Ann Microbiol 65: 1627. https://doi.org/10.1007/s13213-014-1002-0
  5. Edgar RC, Haas BJ, Clemente JC, Quince C, Knight R. 2011. UCHIME improves sensitivity and speed of chimera detection. Bioinformatics 27: 2194-2200. https://doi.org/10.1093/bioinformatics/btr381
  6. Fu L, Niu B, Zhu Z, Wu S, Li W. 2012. CD-HIT: accelerated for clustering the next-generation sequencing data. Bioinformatics 28: 3150-3152. https://doi.org/10.1093/bioinformatics/bts565
  7. Edgar RC. 2010. Search and clustering orders of magnitude faster than BLAST. Bioinformatics 26: 2460-2461 https://doi.org/10.1093/bioinformatics/btq461
  8. Fuchslueger L, Bahn M, Fritz K, Hasibeder R, Richter A. 2014. Experimental drought reduces the transfer of recently fxed plant carbon to soil microbes and alters the bacterial community composition in a mountain meadow. New Phytol 201: 916-927. https://doi.org/10.1111/nph.12569
  9. Masella AP, Bartram AK, Truszkowski JM, Brown DG, Neufeld JD. 2012. PANDAseq: paired-end assembler for illumina sequences. BMC bioinformatics 13: 31. https://doi.org/10.1186/1471-2105-13-31
  10. Myers EW, Miller W. 1988. Optimal alignments in linear space. Comput Appl Biosci 4: 11-17.
  11. Nannipieri P, Ascher J, Ceccherini MT, Landi L, Pietra- mellara G, Renella G. 2003. Microbial diversity and soil functions. Eur J Soil Sci 54: 655–670. https://doi.org/10.1046/j.1351-0754.2003.0556.x
  12. Patrick DS, Sarah LW, Thomas R, Justine RH, Martin H et al. 2009. Introducing mothur: open-source, platform-independent, community-supported software for describing and comparing microbial communities. Appl Environ Microbiol 75: 7537-7541. https://doi.org/10.1128/AEM.01541-09
  13. Schimel J, Balser TC, Wallenstein M. 2007. Microbial stress-response physiology and its implications for eco-system function. Ecology 88: 21386-21394.
  14. Sheik CS, Beasley WH, Elshahed MS, Zhou X, Luo Y, Krumholz LR. 2011. Effect of warming and drought on grassland microbial communities. ISME J 5: 1692-1700. https://doi.org/10.1038/ismej.2011.32
  15. Langenheder S1, Lindström ES, Tranvik LJ. 2006. Structure and function of bacterial communities emerging from different sources under identical conditions. Appl Envi-ron Microbiol 72: 212-20. https://doi.org/10.1128/AEM.72.1.212-220.2006
  16. Uhlirova E, Elhottova D, Triska J, Santruckova H. 2005. Physiology and microbial community structure in soil at extreme water content. Folia Microbiol 50: 161-166. https://doi.org/10.1007/BF02931466