Dataset: Microbial alpha diversity of Acropora millepora samples from a coral-seaweed competition experiment in the Fiji Islands, Dec. 2014

Preliminary and in progressVersion 0 (2020-07-15)Dataset Type:experimental

Principal Investigator: Mark E. Hay (Georgia Institute of Technology)

Co-Principal Investigator, Contact: Cody Clements (Georgia Institute of Technology)

BCO-DMO Data Manager: Nancy Copley (Woods Hole Oceanographic Institution)


Project: Killer Seaweeds: Allelopathy against Fijian Corals (Killer Seaweeds)


Abstract

Microbial alpha diversity of Acropora millepora samples from a coral-seaweed competition experiment in the Fiji Islands, Dec. 2014.

Microbial alpha diversity of Acropora millepora samples from a coral-seaweed competition experiment in the Fiji Islands, Dec. 2014. See 'Master ID Sheet.xlsx' in Supplemental Files for the treatment descriptions.

These data are presented in Figure 2 of Clements et al, 2020.


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Results

Clements, C. S., Burns, A. S., Stewart, F. J., & Hay, M. E. (2020). Seaweed-coral competition in the field: effects on coral growth, photosynthesis and microbiomes require direct contact. Proceedings of the Royal Society B: Biological Sciences, 287(1927), 20200366. doi:10.1098/rspb.2020.0366
Methods

CLARKE, K. R. (1993). Non-parametric multivariate analyses of changes in community structure. Austral Ecology, 18(1), 117–143. doi:10.1111/j.1442-9993.1993.tb00438.x
Methods

Caporaso, J. G., Kuczynski, J., Stombaugh, J., Bittinger, K., Bushman, F. D., Costello, E. K., … Knight, R. (2010). QIIME allows analysis of high-throughput community sequencing data. Nature Methods, 7(5), 335–336. doi:10.1038/nmeth.f.303
Methods

Kozich, J. J., Westcott, S. L., Baxter, N. T., Highlander, S. K., & Schloss, P. D. (2013). Development of a Dual-Index Sequencing Strategy and Curation Pipeline for Analyzing Amplicon Sequence Data on the MiSeq Illumina Sequencing Platform. Applied and Environmental Microbiology, 79(17), 5112–5120. doi:10.1128/aem.01043-13
Methods

Pinheiro, J.D., Bates, D., DebRoy, S., Sarkar, D. and the R Core Team (2014) nlme: linear and nonlinear mixed effects models. R package version 3.1–131. http://CRAN.R-project.org package=nlme