An important data gap in our understanding of the phyllosphere surrounds the origin of the many microbes described as phyllosphere communities. Most sampling in phyllosphere research has focused on the collection of microbiota without the use of a control, so the opportunity to determine which taxa are actually driven by the biology and physiology of plants as opposed to introduced by environmental forces has yet to be fully realized. To address this data gap, we used plastic plants as inanimate controls adjacent to live tomato plants (phyllosphere) in the field with the hope of distinguishing between bacterial microbiota that may be endemic to plants as opposed to introduced by environmental forces. Using 16S rRNA gene amplicons to study bacterial membership at four time points, we found that the vast majority of all species-level operational taxonomic units were shared at all time-points. Very few taxa were unique to phyllosphere samples. A higher taxonomic diversity was consistently observed in the control samples. The high level of shared taxonomy suggests that environmental forces likely play a very important role in the introduction of microbes to plant surfaces. The observation that very few taxa were unique to the plants compared to the number that were unique to controls was surprising and further suggests that a subset of environmentally introduced taxa thrive on plants. This finding has important implications for improving our approach to the description of core phytobiomes as well as potentially helping us better understand how foodborne pathogens may become associated with plant surfaces.

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Abstract Background The U.S. Food and Drug Administration (FDA) Bacteriological Analytical Manual (BAM) reference culture method uses Modified Letheen Broth (MLB) for microbiological analyses for all types of cosmetic products. Objective This study evaluated the effectiveness of MLB and Tryptone Azolectin Tween (TAT) broths using BAM reference culture method for cosmetics. Methods Pure spore suspensions of B. cereus group members were experimentally spiked (McF: 0.5) into cosmetic products. After an aging period of 72 h, the products were analyzed using MLB and TAT broth. The enumeration of the cells was performed on B. cereus group selective plates Bacillus cereus rapid agar (BACARA) and Mannitol Yolk Polymyxin (MYP) plates. Results No statistical difference (p > 0.05) was found for the recovery of cells from the liquid products using either medium (MLB or TAT broth) and the selective plates. In solid/powder products, a combination of Tween 80 and MLB detected significantly more cells (p < 0.05) than combination of Tween 80 and TAT broth. The microbial counts on BACARA showed no significant differences (p > 0.05). However, when assessing cream/oil-based products, the number of cells detected by use of Tween 80/TAT broth was significantly higher than Tween 80/MLB, and MYP showed significantly higher counts than BACARA. Conclusions This study showed that relative effectiveness of MLB vs. TAT for recovering of B. cereus group cells varied depending on the variety of formulation, and combination of preservatives of the tested cosmetic products. The findings suggest additional studies are needed to explore recovery of other relevant microorganisms that may contaminate cream/oil-based cosmetics.

The advent of simultaneously collected imaging-genetics data in large study cohorts provides an unprecedented opportunity to assess the causal effect of brain imaging traits on externally measured experimental results (e.g., cognitive tests) by treating genetic variants as instrumental variables. However, classic Mendelian Randomization methods are limited when handling high-throughput imaging traits as exposures to identify causal effects. We propose a new Mendelian Randomization framework to jointly select instrumental variables and imaging exposures, and then estimate the causal effect of multivariable imaging data on the outcome variable. We validate the proposed method with extensive data analyses and compare it with existing methods. We further apply our method to evaluate the causal effect of white matter microstructure integrity (WM) on cognitive function. The findings suggest that our method achieved better performance regarding sensitivity, bias, and false discovery rate compared to individually assessing the causal effect of a single exposure and jointly assessing the causal effect of multiple exposures without dimension reduction. Our application results indicated that WM measures across different tracts have a joint causal effect significantly impact on the cognitive function among the participants from the UK Biobank.