Costa Diogo Paes da, Araujo Ademir Sérgio Ferreira, Pereira Arthur Prudêncio de Araujo, Mendes Lucas William, França Rafaela Felix da, Silva Thallyta das Graças Espíndola da, Oliveira Julyana Braga de, Araujo Jenifer Sthephanie, Duda Gustavo Pereira, Menezes Rômulo Simões Cezar, Medeiros Erika Valente de
Microbiology and Enzimology Lab., Federal University of Agreste Pernambuco, 55292-270 Garanhuns, PE, Brazil.
Soil Quality Lab., Agricultural Science Center, Federal University of Piauí, 64049-550 Teresina, PI, Brazil.
Data Brief. 2022 Jan 19;41:107842. doi: 10.1016/j.dib.2022.107842. eCollection 2022 Apr.
The data included in this article supplement the research article titled "Forest-to-pasture conversion modifies the soil bacterial community in Brazilian dry forest Caatinga (manuscript ID: STOTEN-D-21-19067R1)". This data article included the analysis of 18 chemical variables in 36 composite samples (included 4 replicates) of soils from the Microregion of Garanhuns (Northeast Brazil) and also partial 16S rRNA gene sequences from genomic DNA extracted from 27 of these samples (included 3 best quality replicates) for paired-end sequencing (up to 2 × 300 bp) in Illumina MiSeq platform (NCBI - BioProject accession: PRJNA753707). Soils were collected in August 2018 in a tropical subhumid region from the Brazilian Caatinga, along with 27 composite samples from the aboveground part of pastures to determine nutritional quality based on leaf N content. The analysis of variance (ANOVA) and post-hoc tests of environmental data and the main alpha-diversity indices based on linear mixed models (LMM) were represented in the tables. In this case, the collection region (C1 - Brejão, C2 - Garanhuns, and C3 - São João) was the random-effect variable and adjacent habitats formed by a forest (FO) and two pastures (PA and PB succeeded by this forest) composed the fixed-effect variable (land cover), both nested within C. In addition, a table with similarity percentages breakdown (SIMPER) was also shown, a procedure to assess the average percent contribution of individual phyla and bacterial classes. The figures showed the details of the study location, sampling procedure, vegetation status through the Normalized Difference Vegetation Index (NDVI), in addition to the general abundance and composition of the main bacterial phyla.
本文所包含的数据补充了题为《森林向牧场的转变改变了巴西干旱森林卡廷加的土壤细菌群落》（稿件编号：STOTEN-D-21-19067R1）的研究文章。本数据文章包括对来自巴西东北部加兰胡斯微区域土壤的36个复合样本（包括4个重复样本）中的18种化学变量进行分析，以及对从其中27个样本（包括3个质量最佳的重复样本）提取的基因组DNA中的部分16S rRNA基因序列进行分析，以便在Illumina MiSeq平台上进行双端测序（最长2×300 bp）（NCBI - 生物项目登录号：PRJNA753707）。2018年8月在巴西卡廷加的热带亚湿润地区采集土壤，同时采集了来自牧场地上部分的27个复合样本，以根据叶片氮含量确定营养质量。方差分析（ANOVA）以及基于线性混合模型（LMM）的环境数据和主要α多样性指数的事后检验结果列于表格中。在这种情况下，采集区域（C1 - 布雷让、C2 - 加兰胡斯和C3 - 圣若昂）是随机效应变量，由一片森林（FO）和这片森林之后的两个牧场（PA和PB）形成的相邻栖息地构成固定效应变量（土地覆盖），二者均嵌套在C内。此外，还展示了一个包含相似性百分比分解（SIMPER）的表格，这是一种评估各个门和细菌类别的平均贡献百分比的程序。这些图展示了研究地点的详细信息、采样过程、通过归一化植被指数（NDVI）反映的植被状况，以及主要细菌门的总体丰度和组成情况。
