pmoA_mapping_Scotland_Appendix S1_NSIS_2_dataset

The present dataset is part of the supplementary section of a manuscript (Nazaries <i>et al.</i> 2018 – Environmental drivers of the geographical distribution of methanotrophs: insights from a national survey – manuscript accepted; in production by Soil Biology and Biochemistry) with the aim of mapping the geographical distribution of important methanotrophs (i.e. methane-oxidising bacteria) and their community structure.<br>The first tab (called "Information") of the spreadsheet provided here gives the details (metadata) of the variables available, namely: abbreviation, description (or full name), unit and eventual comments. The second tab (called "NSIS_2 dataset") contains the actual raw data values of this NSIS_2 dataset. It is the collection of 62 climo-edaphic properties and terrain attributes, with a total number of 697 soil samples. It was created for a national-wide soil survey in Scotland named the National Soils Inventory of Scotland re-sampling (NSIS_2). For more details, see link below for Lilly <i>et al.</i> 2010 (see link below).Soil sampling was executed by the James Hutton Institute (Aberdeen) between 2006 and 2009 following a 20-km² grid (for details, see Yao <i>et al.</i> 2013 – doi: 10.1111/1462-2920.12141).<br> pmoA genes of methanotrophs were isolated by PCR and enzyme restriction was performed using the T-RFLP method (Terminal-Restriction Length Polymorphism – see Singh <i>et al.</i> 2006 – doi:10.1128/AEM.00510-06). The pmoA terminal-restriction fragments (or T-RF) were retained to analyse the methanotroph community structure (122 T-RFs/OTU in total) and bio-geography (see Nazaries <i>et al.</i> 2018 – Environmental drivers of the geographical distribution of methanotrophs: insights from a national survey – manuscript accepted; in production by Soil Biology and Biochemistry). The present dataset corresponds to the Appendix S1 of the manuscript.. From this dataset, the three most abundant T-RFs (pmoA fragments 33 base-pair (bp) long, pmoA-81 and pmoA-130) were modeled to predict their geographical distribution across Scotland in relation to the common ecosystem habitats found across Scotland and their most important physico-chemical soil properties. In order to achieve this, a novel hybrid geo-statistical modelling approach was adopted as summarised in <b>Figure 1</b> of Nazaries <i>et al.</i> 2018 (Environmental drivers of the geographical distribution of methanotrophs: insights from a national survey – manuscript accepted; in production by Soil Biology and Biochemistry).本数据集属于一篇已接收、即将由《Soil Biology and Biochemistry》刊发的手稿（Nazaries等人，2018年——《甲烷氧化菌地理分布的环境驱动因子：全国性调查的启示》）的补充材料部分，旨在绘制重要甲烷氧化菌（即甲烷氧化细菌）的地理分布及其群落结构图谱。 本次提供的电子表格第一个工作表（命名为“Information”）列出了所有可用变量的元数据详情，包括变量缩写、说明（或全称）、单位及相关备注。第二个工作表（命名为“NSIS_2 dataset”）则包含本NSIS_2数据集的原始实测数据。该数据集涵盖62项气候-土壤属性与地形特征，总计包含697个土壤样品，是为苏格兰全国性土壤调查——苏格兰国家土壤库存重采样（NSIS_2）——所构建的数据集。更多细节可参阅下方链接中的Lilly等人2010年的研究（链接见下文）。 土壤采样工作由詹姆斯·赫顿研究所（阿伯丁）于2006年至2009年间执行，采样采用20平方千米的网格布点方案（详细信息参见Yao等人2013年的研究——doi: 10.1111/1462-2920.12141）。 研究人员通过聚合酶链式反应（PCR）分离得到甲烷氧化菌的pmoA基因，并采用末端限制性片段长度多态性（T-RFLP，Terminal-Restriction Length Polymorphism）技术进行酶切分析（详见Singh等人2006年的研究——doi:10.1128/AEM.00510-06）。保留pmoA末端限制性片段（或T-RF）用于分析甲烷氧化菌的群落结构（总计122个T-RFs/操作分类单元（OTU））与生物地理分布（详见Nazaries等人2018年的手稿：《甲烷氧化菌地理分布的环境驱动因子：全国性调查的启示》，已接收，即将由《Soil Biology and Biochemistry》刊发）。本数据集对应该手稿的附录S1。 基于本数据集，研究人员选取了丰度最高的3个T-RFs（长度为33碱基对（bp）的pmoA片段、pmoA-81与pmoA-130），结合苏格兰境内常见的生态系统生境及其关键土壤理化性质，构建模型以预测这三类甲烷氧化菌在苏格兰的地理分布。为实现该目标，研究团队采用了一种新型混合地统计建模方法，具体流程详见Nazaries等人2018年手稿中的图1（《甲烷氧化菌地理分布的环境驱动因子：全国性调查的启示》，已接收，即将由《Soil Biology and Biochemistry》刊发）。