Assembly of plant-associated soil microbial communities during succession in dry and moist Neotropical forests - AMF (18S) Dataset

Our study was conducted at two sites that represent dry (Los Santos) and moist (Agua Salud) tropical lowland forest types in Panama. The two sites have distinct tree species composition and richness, with relatively little species overlap. We collected 36 surface soil samples (0 to 15 cm depth) in three land use categories (cattle pasture, 20 year old secondary forest, and old secondary forest) at each site during the wet season. Cores were sampled at 10 m intervals along four replicate transects in each of the three land use categories at each site. This soil metabarcoding dataset was created using 18S primers (AMV4.5NF and AMDGR (van Geel et al. 2014)). Data were processed using the R packages <em>DADA2</em>, <em>phyloseq</em>, <em>vegan</em>, and <em>microbiome</em>. Sample metadata includes soil chemistry and alpha diversity calculations for each sample

本研究在巴拿马的两个地点开展，分别代表干旱型（Los Santos）和湿润型（Agua Salud）热带低地森林类型。两个地点的树种组成与丰富度存在显著差异，物种重叠度较低。雨季期间，我们在每个地点的三种土地利用类型（牧场、20年生次生林、老次生林）中各采集了36份表层土壤样本（深度0-15厘米）。在每个地点的三种土地利用类型中，沿四条重复样带以10米间隔采集土芯样本。该土壤宏条形码数据集（metabarcoding dataset）通过18S引物（AMV4.5NF和AMDGR（van Geel et al. 2014））构建。数据通过R包<em>DADA2</em>、<em>phyloseq</em>、<em>vegan</em>和<em>microbiome</em>进行处理。样本元数据包含每份样本的土壤化学性质及α多样性（alpha diversity）计算结果。