Wolbachia impacts microbiome diversity and fitness-associated traits for Drosophila melanogaster in a seasonally fluctuating environment

The microbiome contributes to many different host traits, but its role in host adaptation remains enigmatic. The fitness benefits of the microbiome often depend on ecological conditions, but theory suggests that fluctuations in both the microbiome and environment modulate these fitness benefits. Moreover, vertically transmitted bacteria might constrain the ability of both the microbiome and host to respond to changing environments. Drosophila melanogaster provides an excellent system to investigate the impacts of interactions between the microbiome and the environment. To address this question, we created field mesocosms of D. melanogaster undergoing seasonal environmental change with and without the vertically transmitted bacteria, Wolbachia pipientis. Sampling temporal patterns in the microbiome revealed that Wolbachia constrained microbial diversity. Furthermore, Wolbachia and a dominant member of the microbiome, Commensalibacter, were associated with differences in two higher-order ..., , , # data for Wolbachia impacts microbiome diversity and fitness-associated traits for Drosophila melanogaster in a seasonally fluctuating environment [https://doi.org/10.5061/dryad.547d7wmg3](https://doi.org/10.5061/dryad.547d7wmg3) Data was generated from a study of Drosophila undergoing seasonal adaptation in NJ during summer-fall 2019. ## Description of the data and file structure **Data for temperature data loggers** are in files called \"`dl_N.csv`\", with N = 1-8 to note the different cages. Each column for the data loggers is as follows: S/N = arbitrary sorting, Time = time the measurement was collected, Temperature = temperature in Celsius, Humidity%RH = %relative humidity. **The following files are for microbiome data (generated using QIIME2 and exported to analyses/visualization in R)**: `field19_total_meta.tsv` is the metadata that relates sequencing library to collected metadata. The columns are as follows: flyid = individual fly, BarcodeSequence = is for demultiplexing, f...微生物组（microbiome）可影响宿主的多种性状，但其在宿主适应性中的具体作用尚未明确。微生物组所带来的适合度益处往往依赖于生态环境条件，而现有理论表明，微生物组与环境的双重波动会调控这类适合度益处。此外，垂直传播的细菌可能会限制微生物组与宿主应对环境变化的能力。 黑腹果蝇（Drosophila melanogaster）是研究微生物组与环境互作效应的绝佳实验体系。为解答上述科学问题，我们构建了处于季节环境变化中的黑腹果蝇野外中型实验生态系，分别设置携带与不携带垂直传播细菌——沃尔巴克氏体（Wolbachia pipientis）的两组处理。 对微生物组时间动态的采样分析显示，沃尔巴克氏体能够抑制微生物多样性。此外，沃尔巴克氏体与微生物组中的优势类群——共生杆菌属（Commensalibacter）均与两类高阶性状的差异存在关联…… # 本数据集针对季节波动环境下黑腹果蝇中沃尔巴克氏体对微生物组多样性及适合度相关性状的影响 [https://doi.org/10.5061/dryad.547d7wmg3](https://doi.org/10.5061/dryad.547d7wmg3) 本数据集源自2019年夏秋季节于新泽西州（NJ）开展的黑腹果蝇季节性适应性研究。 ## 数据与文件结构说明 **温度记录仪数据** 存储于名为`dl_N.csv`的文件中，其中N取值1至8以区分不同饲养笼。各数据列含义如下：S/N为任意排序编号，Time为数据采集时间，Temperature为摄氏温度值，Humidity%RH为相对湿度百分比。 **以下为微生物组数据文件（采用QIIME2生成，并导出至R语言环境进行分析与可视化）**： `field19_total_meta.tsv`为关联测序文库与采集元数据的元数据文件，各列含义如下：flyid代表单只果蝇个体编号，BarcodeSequence用于测序样本拆分，f……