Juvenile hormone pleiotropy links reproduction, age polyethism, and cuticular hydrocarbons in a highly eusocial wasp

This dataset contains raw data and R scripts for the study “Juvenile hormone pleiotropy links reproduction, age polyethism, and cuticular hydrocarbons in a highly eusocial wasp”. The data were used to analyse how juvenile hormone manipulation affects ovarian development, age-related task allocation, and cuticular hydrocarbon profiles in Vespula vulgaris workers. 1.2_Script_HMFerreira_VV_2026.R: R script used to analyse ovarian development and age-related division of labour in Vespula vulgaris workers under juvenile hormone manipulation. The script uses individual-level behavioural and physiological data, including treatment group, behavioural task, nest identity, queen presence, worker age, largest terminal oocyte size, and head size. It performs model selection and analyses using Gamma generalized linear mixed models for ovarian development and multinomial logistic regression for task allocation. 2.2_Script_HMF_VV_2026.R: R script used to analyse cuticular hydrocarbon profiles of Vespula vulgaris workers under juvenile hormone manipulation. The script uses raw GC-MS CHC peak-area data and associated metadata, including worker identity, nest identity, treatment, task, age, and ovarian development. It performs centred log-ratio transformation, PCA, PERMANOVA, dispersion analyses, pairwise post-hoc tests, and compound-level mixed models.本数据集包含研究《保幼激素（juvenile hormone）多效性关联高度真社会性（highly eusocial）黄蜂的繁殖、年龄劳动分工（age polyethism）与表皮碳氢化合物（cuticular hydrocarbons）》的原始数据与R脚本。本数据集所用数据用于分析保幼激素操纵对普通黄胡蜂（Vespula vulgaris）工蜂的卵巢发育、年龄相关任务分配以及表皮碳氢化合物谱的影响。 1. 1.2_Script_HMFerreira_VV_2026.R：该R脚本用于分析保幼激素操纵下普通黄胡蜂工蜂的卵巢发育与年龄相关劳动分工。脚本采用个体水平的行为与生理数据，涵盖处理组、行为任务、巢群标识、蜂王存在情况、工蜂日龄、最大端卵母细胞尺寸以及头部尺寸。脚本针对卵巢发育使用Gamma广义线性混合模型（Gamma generalized linear mixed model）开展模型选择与分析，针对任务分配采用多项逻辑回归（multinomial logistic regression）进行分析。 2. 2.2_Script_HMF_VV_2026.R：该R脚本用于分析保幼激素操纵下普通黄胡蜂工蜂的表皮碳氢化合物谱。脚本采用原始气相色谱-质谱联用（GC-MS）的表皮碳氢化合物峰面积数据与相关元数据，包括工蜂标识、巢群标识、处理组、任务类型、日龄以及卵巢发育情况。脚本执行中心化对数比率变换（centred log-ratio transformation）、主成分分析（PCA）、置换多元方差分析（PERMANOVA）、离散度分析、成对事后检验以及化合物水平混合模型分析。