Online data for dissertation Chapter 2: "Carbon sequestration and niche preference track phylogeny in <i>Sphagnum</i> (peat moss)"
收藏资源简介:
A folder containing the following items:<br><b>Supporting Information Dataset (</b>SI_Dataset.xlsx)<br><br>An Excel document containing the following:Spreadsheet 1 = Litter decomposability data for species of Sphagnum.Spreadsheet 2 = Collection information for samples used in the decomposition experiment.Spreadsheet 3 = Species mean litter decomposability (K, yr-1).Spreadsheet 4 = AICc values for evolutionary models fitted using maximum likelihood on 1,000 randomly-drawn trees from the Bayesian posterior tree distribution and the full 54-species decomposability dataset<br><b>Multiple Sequence Alignments (</b>MSA.tar.gz)<br>A compressed folder containing the following:*.best = best PRANK alignment for individual loci*.nex = dataset partitionsmcmc.Rev = RevBayes script used to perform the phylogenetic analysis<br><b>Maximum Clade Credibility Tree </b>(mcc.tre)<br>The maximum clade credibility tree from the RevBayes phylogenetic inference in Newick format.<br><b>Posterior Distribution Subset</b> (posterior_subset.tre)<br>A subset of 1,000 trees randomly drawn from the RevBayes posterior distribution. These trees were used to incorporate phylogenetic uncertainty into the analyses of trait evolution.<br>
本文件夹包含以下内容:<br><b>辅助信息数据集(Supporting Information Dataset,SI_Dataset.xlsx)</b><br><br>该Excel文档包含如下内容:<br>工作表1:泥炭藓属(Sphagnum)物种的枯落物分解性(litter decomposability)数据;<br>工作表2:分解实验所用样品的采集信息;<br>工作表3:物种平均枯落物分解性(K,单位:年⁻¹);<br>工作表4:基于贝叶斯后验树分布中随机抽取的1000棵系统发育树,以及完整的54物种分解性数据集,通过最大似然法拟合进化模型所得的AICc值;<br><br><b>多序列比对文件集(Multiple Sequence Alignments,MSA.tar.gz)</b><br>该压缩文件夹包含以下内容:<br>*.best:针对单个基因座的最优PRANK比对结果;<br>*.nex:数据集分区信息;<br>mcmc.Rev:用于执行系统发育分析的RevBayes脚本;<br><br><b>最大分支可信树(Maximum Clade Credibility Tree,mcc.tre)</b><br>该文件为通过RevBayes系统发育推断得到的最大分支可信树,格式为Newick;<br><br><b>后验分布子集(Posterior Distribution Subset,posterior_subset.tre)</b><br>该文件包含从RevBayes后验分布中随机抽取的1000棵系统发育树子集,用于在性状进化分析中纳入系统发育不确定性。



