Datasets supporting Leasi et al. Communications Biology

This file includes 8 datasets used in Leasi et al. - Communications Biology. Title of the manuscript "Biodiversity estimates and ecological interpretations of meiofaunal communities are biased by the taxonomic approach".<br>We compare biodiversity assessments of a diverse meiofaunal community derived by applying multiple taxonomic methods based on comparative morphology, molecular phylogenetic analysis, DNA barcoding of individual specimens, and metabarcoding of environmental DNA. We show that biodiversity estimates are strongly biased across taxonomic methods and phyla. Such biases affect understanding of community structures and ecological interpretations. Samples were collected from 19 sites located in Panama.<br>Table S1. List of sampled locations and environmental parameters investigated. <br><br>Table S2. List of individuals and taxa collected and analyzed with the respective unique barcode voucher number. Each r18S sequence, entity revealed with GMYC, and OTU is associated to an ID code. Identical ID codes indicate identical r18S sequences, EEs, or OTUs. The same ID codes are shown in the phylogenetic trees. <br>Table S3. Operational taxonomic units of the seven focal phyla. Number of genetic reads is indicated for each sampled station. The phylogenetic trees are constructed considering the Sample-ID code. The last column indicates the percentage of blasting with the reference. The term “TREE” indicates that the taxonomy was obtained by reconstructed the phylogeny.<br>Table S4. Sequence variants of the seven focal phyla. Number of genetic reads is indicated for each sampled station. The phylogenetic trees are constructed considering the Sample-ID code. The last column indicates the percentage of blasting with the reference. The term “TREE” indicates that the taxonomy was obtained by reconstructed the phylogeny.<br>Table S5. Values of richness estimation obtained using Chao and Jackknife algorithms on morphotypes and sequence variants. <br>Table S6. Values of Jaccard dissimilarity based on incidence datasets measured within and between communities. <br>Table S7. Results obtained with PERMANOVA among all taxonomic methods and environmental parameters. <br>Table S8. Values of Phylogenetic Diversity (PD), Mean Phylogenetic Diversity (MPD), and Mean Nearest Taxon Distance (MNTD) measured for each phylum and sampled site. SR, species richness.本数据集包含Leasi等人发表于《Communications Biology》的论文《小型底栖生物群落的生物多样性估算与生态学解读受分类学方法偏倚》中所使用的8套数据集。 我们采用基于比较形态学、分子系统发育分析、个体标本DNA条形码以及环境DNA元条形码（metabarcoding）的多种分类学方法，对多样的小型底栖生物群落开展生物多样性评估并对比不同方法的结果。研究结果显示，不同分类学方法以及不同门类间的生物多样性估算结果存在显著偏倚，此类偏倚会影响对群落结构的认知与生态学解读。所有样本采集自巴拿马境内的19个采样点位。 表S1 采样点位列表及所调查的环境参数。 表S2 采集并分析的个体标本与类群列表，及其对应的唯一条形码凭证编号。每条18S rRNA序列、经广义混合Yule趋同模型（GMYC）揭示的进化单元以及操作分类单元（OTU）均关联有专属ID编码。相同ID编码代表相同的18S rRNA序列、GMYC进化单元或OTU，此类ID编码同样出现在系统发育树中。 表S3 7个目标门类的操作分类单元。各采样站位的遗传序列读段数量均已标注。系统发育树基于采样点ID编码构建，最后一列显示与参考序列的比对百分比。术语"TREE"表示该类群的分类学信息通过重建系统发育树获得。 表S4 7个目标门类的序列变异体。各采样站位的遗传序列读段数量均已标注。系统发育树基于采样点ID编码构建，最后一列显示与参考序列的比对百分比。术语"TREE"表示该类群的分类学信息通过重建系统发育树获得。 表S5 基于形态型与序列变异体，采用Chao与Jackknife算法得到的丰富度估算值。 表S6 基于物种出现-缺失数据集的Jaccard相异度数值，该数值用于衡量群落内部与群落间的差异。 表S7 基于所有分类学方法与环境参数的置换多元方差分析（PERMANOVA）结果。 表S8 针对每个门类与采样位点测得的系统发育多样性（PD）、平均系统发育多样性（MPD）以及平均最近分类单元距离（MNTD）数值，其中SR代表物种丰富度。