Department of Biotechnology and Food Science, Faculty of Natural Sciences, NTNU - Norwegian University of Science and Technology, Trondheim, Norway.
Sci Rep. 2024 Oct 8;14(1):23480. doi: 10.1038/s41598-024-74696-8.
The nearest taxon index (NTI) and beta nearest taxon index (βNTI) are popular metrics used to infer community assembly in a variety of ecosystems. However, the dependence these metrics have on the underlying phylogenetic tree is often overlooked and can potentially lead to erroneous conclusions. In this paper, we investigated how misclassified sequences in the phylogenetic tree and reduction of the metacommunity richness affect estimates of the assembly processes. We estimated assembly processes in two datasets investigating fish-microbiota interactions. We found that non-bacterial misclassified sequences can drastically change the interpretation of assembly processes. NTI consistently increased after misclassified sequences were removed, which changed the ecological interpretation for 82.8% of the communities in one of the datasets. Similarly, βNTI was strongly affected by misclassified sequences in the phylogenetic tree, changing the ecological interpretation for 44.7% (Dataset 1) and 6.3% (Dataset 2) of the community comparisons. Lower metacommunity richness generally resulted in decreased NTI and increased βNTI, but the effect sizes were small and generally did not result in a change in ecological interpretation. Based on these findings, we recommend: (1) constructing and visually inspecting a phylogenetic tree for 16 S rRNA gene amplicon datasets to identify and remove misclassified sequences, and (2) evaluating the robustness of community assembly conclusions by performing analyses with varying metacommunity richness and clearly specifying the metacommunity used for the null model approach.
最近的分类单元指数(NTI)和β最近的分类单元指数(βNTI)是用于推断各种生态系统中群落组装的流行指标。然而,这些指标对基础系统发育树的依赖性往往被忽视,可能导致错误的结论。在本文中,我们研究了系统发育树中错误分类的序列和元群落丰富度的减少如何影响组装过程的估计。我们使用两个调查鱼类-微生物相互作用的数据集来估计组装过程。我们发现,系统发育树中错误分类的非细菌序列可以极大地改变组装过程的解释。在去除错误分类的序列后,NTI 持续增加,这改变了其中一个数据集 82.8%的群落的生态解释。同样,βNTI 受到系统发育树中错误分类序列的强烈影响,改变了数据集 1 中 44.7%和数据集 2 中 6.3%的群落比较的生态解释。较低的元群落丰富度通常会导致 NTI 降低和βNTI 增加,但效应大小较小,通常不会导致生态解释的改变。基于这些发现,我们建议:(1)构建和直观地检查 16S rRNA 基因扩增子数据集的系统发育树,以识别和去除错误分类的序列;(2)通过使用不同的元群落丰富度和明确指定用于零模型方法的元群落来评估群落组装结论的稳健性。