Data on distribution and variability of three pseudocryptic species: Fruticicola fruticum (O.F. Müller, 1774), F. similis Proćków et Sîrbu, 2022, and F. gemina Proćków, 2022 in Europe.

The dataset consists in samples from 60 populations of Fruticicola sp. from its entire range, belonging to 8 mOTU (codified with the letters from A to H), and three pseudocryptic species, denoted as I - Fruticicola fruticum, II - F. similis and III - F. gemina. The location of each sample (and population) was given as latitude (Y), longitude (X), and altitude (Alt). Genetic analysis was based on the previously published p-distances obtained from phylogenetic analysis of COI sequences (cytochrome oxidase c subunit I) and from mitochondrial ribosomal 16S (Hofman et al. 2022). Uncorrected p distances, the proportion of nucleotide sites at which two sequences being compared are different (Nei & Kumar 2000) were calculated in MEGA 7 (Kumar et al. 2016). For the morphometric analysis, nine shell parameters were measured, in adult snails (with completely developed lips) in the 24 populations for which the samples were rich enough to allow biometric study of their shells. As climatic variables, we used 21 parameters for each of the 60 locations: average precipitation in January (Rjan), April (Rapr), July (Rjul), October (Roct), total amount of annual precipitation (Rtot)—all in mm, precipitation coefficient of variation (Rcv), number of wet days in January (Wjan), in April (Wapr), July (Wjul), October (Woct), and in the whole year (Wet), relative humidity in percentage (RHum), average duration of annual sunshine in percent of possible (Sunt), average temperature for January (Tjan), April (Tapr), July (Tjul), October (Toct), for the whole year (Tavg), average maximum temperature in the hottest month (Tmax), and minimum temperature in the coldest month (Tmin), and the number of months with minimum temperatures above 10 °C (Tno10): all temperature values are in Celsius degrees. Climatic parameters were obtained from AQUASTAT Climate Information Tool, FAO's Global Information System on Water and Agriculture (https://www.fao.org/aquastat/en/geospatial-information/climate-information). The study based on this dataset aims to relate variability in, and discrimination of, populations, mOTUs (molecular Operational Taxonomic Units), and species as responses to four classes of predictors, namely genetics (p-distances between populations), morphology (biometrical descriptors), climatic parameters and spatial descriptors.

本数据集涵盖环口螺属（Fruticicola sp.）整个分布范围内60个种群的样本，这些样本隶属于8个分子操作分类单元（molecular Operational Taxonomic Units，mOTU，编码为A至H），以及3个假隐存种，分别记为I-环口螺（Fruticicola fruticum）、II-相似环口螺（F. similis）和III-宝石环口螺（F. gemina）。每个样本（及对应种群）的地理位置以纬度（Y）、经度（X）和海拔高度（Alt）标注。遗传分析基于此前已发表的p距离，该距离由对细胞色素c氧化酶亚基I（cytochrome oxidase c subunit I，COI）序列与线粒体核糖体16S序列的系统发育分析得到（Hofman等，2022）。未校正p距离指的是两个比对序列间存在差异的核苷酸位点比例（Nei与Kumar，2000），该指标通过MEGA 7软件计算得到（Kumar等，2016）。在形态计量分析中，研究人员对24个种群的成体蜗牛（螺唇完全发育成熟）的9个壳部参数进行了测量，这些种群拥有足够的样本量以开展壳体生物计量学研究。本研究选取21项气候变量用于60个采样点的分析，具体包括：1月、4月、7月、10月的平均降水量（分别记为Rjan、Rapr、Rjul、Roct），年总降水量（Rtot，单位均为毫米），降水量变异系数（Rcv），1月、4月、7月、10月及全年的降雨日数（分别记为Wjan、Wapr、Wjul、Woct、Wet），相对湿度百分比（RHum），年日照百分率（Sunt），1月、4月、7月、10月及全年平均气温（分别记为Tjan、Tapr、Tjul、Toct、Tavg），最热月平均最高气温（Tmax），最冷月平均最低气温（Tmin），以及最低气温高于10℃的月数（Tno10）；所有气温单位均为摄氏度。气候参数来源于FAO全球水与农业信息系统的AQUASTAT气候信息工具（https://www.fao.org/aquastat/en/geospatial-information/climate-information）。基于本数据集开展的研究旨在探讨种群、分子操作分类单元（mOTU）及物种的变异与区分模式，将其作为四类预测因子的响应变量，这四类预测因子分别为种群间遗传p距离、形态生物计量特征、气候参数与空间描述因子。