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Metagenomic Analysis of Bacterial Communities Associated with Four Ecklonia cava Populations, Including Dokdo Island Population

  • Yejin Jo
  • Yoon Sik Oh
  • Seonock Woo
  • Chan Hong Park
  • Seungshic YumEmail author
Article
  • 21 Downloads

Abstract

Objective

The dynamics of the Ecklonia cava-associated microbiota in four Korean populations, Dokdo Island (DI), Ulleungdo Island (UI), Sangbaekdo Island (SI), and Seogwipo, were investigated to provide the initial data on E. cava-bacteria interactions in different localities.

Methods

A pyrosequencing 454 analysis of the bacterial 16S rRNA genes was carried out, and the obtained sequences were analyzed by bioinformatic methods.

Results

The Chao 1 index showed that the bacterial community richness was highest in the Seogwipo population, which contained more highly abundant bacteria than the other populations according to the ACE index. The Shannon diversity index showed that the UI population was highly diverse. Bacteria of the phylum Proteobacteria were most abundant in all four populations (49–94%). Fifty-two genera were identified in the four E. cava populations. The microbiota at DI was dominated by Granulosicoccus (17.33%) and HQ845450_g (10.67%); HQ845450_g (11.67%) and Rhodobacteraceae_uc (7.50%) were abundant in the UI population; HQ845450_g (25.32%), Streptococcus (11.39%), and Desulfomonile (11.39%) were dominant in the SI population; and Vibrio (44.91%) and AM259833_f_uc (16.37%) were dominant in the Seogwipo population. The genus Granulosicoccus was found in all four groups.

Conclusion

The microbiota in E. cava are largely dependent on the algal location, because only three bacterial operational taxonomic units (OTUs) were commonly found among the 850 bacterial sequences from four E. cava populations. The microbiota differences among the E. cava populations may contribute to seaweed forest conservation strategies at different locations.

Keywords

Seaweed Brown alga Holobiont Microbiome Symbiosis 

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Notes

Acknowledgements

This research was supported by a grant from the Ministry of Oceans and Fisheries of the Korean Government as “A sustainable research and development of Dokdo” project.

Supplementary material

13530_2019_383_MOESM1_ESM.pdf (356 kb)
Metagenomic Analysis of Bacterial Communities Associated with Four Ecklonia cava Populations, Including Dokdo Island Population

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Copyright information

© The Korean Society of Environmental Risk Assessment and Health Science and Springer 2019

Authors and Affiliations

  • Yejin Jo
    • 1
  • Yoon Sik Oh
    • 2
  • Seonock Woo
    • 3
  • Chan Hong Park
    • 4
  • Seungshic Yum
    • 1
    • 5
    Email author
  1. 1.Ecological Risk Research DivisionKorea Institute of Ocean Science and Technology (KIOST)GeojeRepublic of Korea
  2. 2.Division of Life ScienceGyeongsang National UniversityJinjuRepublic of Korea
  3. 3.Marine Biotechnology Research CenterKorea Institute of Ocean Science and Technology (KIOST)BusanRepublic of Korea
  4. 4.East Sea Research InstituteKorea Institute of Ocean Science and Technology (KIOST)UljinRepublic of Korea
  5. 5.Faculty of Marine Environmental ScienceUniversity of Science and Technology (UST)GeojeRepublic of Korea

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