Raw sequencing data and ngsfilters for snow track eDNA samples

Snow tracks of brown bear, lynx and wolf were collected opportunistically during winter in 2019, 2020 and 2022 in the Slovenian Alps and Dinaric Mountains (seven brown bear samples and nine lynx samples) and in the French Alps (ten wolf samples). For genotyping of each species, we used a set of STR markers designed for optimal multiplex amplification and HTS genotyping. The brown bear set includes 13 STR recently described and used for individual profiling from fecal DNA, with the addition of a sex-specific marker. For wolf and lynx, we used 13 new STRs. We performed sequencing on a NovaSeq platform (2x150 bp) (libraries with id DIVJA088, DIVJA089, DAB074) and on a Miniseq platform (2x150 bp) (library LF22). Amplicons were sequenced in multiplexes, and necessary information for demultiplexing is in .ngsfilter files.2019、2020及2022年冬季，我们于斯洛文尼亚阿尔卑斯山与狄那里克阿尔卑斯山（采集7份棕熊样本、9份猞猁样本）以及法国阿尔卑斯山（采集10份狼样本），机会性采集了棕熊、猞猁与狼的足迹样本。针对各物种的基因分型，我们采用了一套专为优化多重扩增与高通量测序（High-Throughput Sequencing, HTS）基因分型而设计的短串联重复序列（Short Tandem Repeat, STR）标记组合。棕熊所用的标记组合包含13个此前已报道、可通过粪便DNA进行个体识别的STR位点，并额外添加了1个性别特异性标记。针对狼与猞猁，我们采用了13个全新的STR位点。我们分别在NovaSeq测序平台（双端150bp读长，对应文库编号DIVJA088、DIVJA089、DAB074）与MiniSeq测序平台（双端150bp读长，对应文库LF22）上完成了测序。扩增子以多重扩增体系进行测序，拆分混样文库所需的全部信息均存储于.ngsfilter格式文件中。