Microbial communities on flower surfaces act as signatures of pollinator visitation

Scientific Reports

Volumn 5, Issue , 2015, Pages

  Ushio, Masayuki ^a,e   Yamasaki, Eri ^a,b   Takasu, Hiroyuki ^a,c   Nagano, Atsushi J ^a,d   Fujinaga, Shohei ^a   Honjo, Mie N ^a   Ikemoto, Mito ^a   Sakai, Shoko ^a   Kudoh, Hiroshi ^a  

^a KYOTO UNIVERSITY   (Japan)

^b UNIVERSITY OF ZURICH   (Switzerland)

^c UNIVERSITY OF TOKYO   (Japan)

^d JAPAN SCIENCE AND TECHNOLOGY AGENCY   (Japan)

^e RYUKOKU UNIVERSITY   (Japan)

Author keywords

[No Author keywords available]

Indexed keywords

ANIMAL; BIODIVERSITY; FLOWER; INSECT; METAGENOME; MICROBIOLOGY; MICROFLORA; POLLINATION;

ANIMALS; BIODIVERSITY; ENVIRONMENTAL MICROBIOLOGY; FLOWERS; INSECTS; METAGENOME; MICROBIOTA; POLLINATION;

EID: 84924020992     PISSN: None     EISSN: 20452322     Source Type: Journal    
DOI: 10.1038/srep08695     Document Type: Article

References (28)

1. Bowers, R. M.,McLetchie, S., Knight, R. & Fierer, N. Spatial variability in airborne bacterial communities across land-use types and their relationship to the bacterial communities of potential source environments. ISME J. 5, 601-612 (2011).
2. Lauber, C. L., Hamady, M., Knight, R. & Fierer, N. Pyrosequencing-based assessment of soil pH as a predictor of soil bacterial community structure at the continental scale. Appl. Environ. Microbiol. 75, 5111-5120 (2009).
3. Sogin, M. L. et al.Microbial diversity in the deep sea and the underexplored "rare biosphere." Proc. Natl. Acad. Sci. 103, 12115-12120 (2006).
4. Fierer, N., Hamady, M., Lauber, C. L. & Knight, R. The influence of sex, handedness, and washing on the diversity of hand surface bacteria. Proc. Natl. Acad. Sci. U. S. A. 105, 17994-17999 (2008).
5. Human Microbiom Project Consortium. Structure, function and diversity of the healthy human microbiome. Nature 486, 207-14 (2012).
6. Song, S. J. et al. Cohabiting family members share microbiota with one another and with their dogs. eLife 2, e00458 (2013).
7. Fierer, N. et al. Forensic identification using skin bacterial communities. Proc. Natl. Acad. Sci. U. S. A. 107, 6477-6481 (2010).
8. Metcalf, J. L. et al. A microbial clock provides an accurate estimate of the postmortem interval in a mouse model system. eLife 2, e01104 (2013).
9. Faegri, K. & van der Pijl, L. The principles of pollination ecology. (Pergamon Press, 1979).
10. Klein, A.-M. et al. Importance of pollinators in changing landscapes for world crops. Proc. R. Soc. B 274, 303-13 (2007).
11. Brown, A. O. & McNeil, J. N. Pollination ecology of the high latitude, dioecious cloudberry (Rubus chamaemorus; Rosaceae). Am. J. Bot. 96, 1096-107 (2009).
12. Aleklett, K., Hart, M. & Shade, A. The microbial ecology of flowers: an emerging frontier in phyllosphere research. Botany 92, 253-266 (2014).
13. Herrera, C. M., de Vega, C., Canto, A. & Pozo, M. I. Yeasts in floral nectar: a quantitative survey. Ann. Bot. 103, 1415-23 (2009).
14. De Vega, C.& Herrera, C. M. Microorganisms transported by ants induce changes in floral nectar composition of an ant-pollinated plant. Am. J. Bot. 100, 792-800 (2013).
15. Yamasaki, E.& Sakai, S. Wind and insect pollination (ambophily) of Mallotus spp. (Euphorbiaceae) in tropical and temperate forests. Aust. J. Bot. 61, 60 (2013).
16. Rothberg, J. M. et al. An integrated semiconductor device enabling non-optical genome sequencing. Nature 475, 348-352 (2011).
17. Edgar, R. C. UPARSE: highly accurate OTU sequences from microbial amplicon reads. Nat. Methods 10, 996-998 (2013).
18. Sugino, M. & Ashida, K. A survey by car on distribution of the communities of tall golden rod, Solidago altissima L., along the drive ways in Kinki district. J. Weed Sci. Technol. 22, 9-13 (1977).
19. Herrera, C. M. Variation in mutualisms: the spatiotemporal mosaic of a pollinator assemblage. Biol. J. Linn. Soc. 35, 95-125 (1988).
20. Burkle, L. A. & Alarcón, R. The future of plant-pollinator diversity: understanding interaction networks across time, space, and global change. Am. J. Bot. 98, 528-38 (2011).
21. Kikuchi, Y. et al. Symbiont-mediated insecticide resistance. Proc. Natl. Acad. Sci. U. S. A. 109, 8618-22 (2012).
22. Paulino, L. C., Tseng, C.-H., Strober, B. E. & Blaser, M. J. Molecular analysis of fungal microbiota in samples from healthy human skin and psoriatic lesions. J. Clin. Microbiol. 44, 2933-41 (2006).
23. Porter, K. G. & Feig, Y. S. The use of DAPI for identifying and counting aquatic microflora. Limnol. Oceanogr. 25, 943-948 (1980).
24. Ushio, M., Makoto, K., Klaminder, J. & Nakano, S. I. CARD-FISH analysis of prokaryotic community composition and abundance along small-scale vegetation gradients in a dry arctic tundra ecosystem. Soil Biol. Biochem. 64, 147-154 (2013).
25. Bates, S. T. et al. Examining the global distribution of dominant archaeal populations in soil. ISME J. 5, 908-917 (2011).
26. Tanabe, A. S. & Toju, H. Two new computational methods for universal DNA barcoding: a benchmark using barcode sequences of bacteria, archaea, animals, fungi, and land plants. PLoS One 8, e76910 (2013).
27. R Core Team. R: A Language and Environment for Statistical Computing. (2014). R Foundation for Statistical Computing, Vienna, Austria.
28. McMurdie, P. J. & Holmes, S. Phyloseq: An R Package for Reproducible Interactive Analysis and Graphics of Microbiome Census Data. PLoS One 8, e61217 (2013).