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. 2017 Oct 18;7:13420. doi: 10.1038/s41598-017-13705-5

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© The Author(s) 2017

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

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The composition and function of rotting fruit-associated microbiota. (a) Two-choice oviposition assay for fruit purée. Fruit purée (20%w/v) replaced sucrose in the behavior-testing media, and oviposition preference was assayed between fresh and fermented choices. The one-sample t-test was used to assess the mean deviance of each column from 0. n = 4. (b) Composition and distribution of the dominant bacterial taxa within rotting apples and grapes. (c) Venn diagram showing the presence of bacterial taxa within two fruits. The number of bacteria in rotting apples and grapes was in the circles. (d,e) PICRUSt predicted microbiota function based on inferred metagenomes of rotting fruit-associated bacteria at the primary (d) and upper (e) level using the PICRUSt algorithm. (f) Venn diagram showing the distribution of predicted KEGG genes within two fruit samples. The one-sample t-test, Mean ± SEM, Symbols: ***p < 0.001.