RESULTS: Using gene expression data from nine different projects, nucleotide sequence variants were characterised, and distinctive genetic background of the experimental specimens was uncovered. This study provides a catalogue of thousands of nucleotide variants along predicted protein-coding genes, while identifying genome-wide differences between pigment phenotypes in laboratory populations.
CONCLUSIONS: Awareness of the genetic variation could guide a better experimental design while helping to develop molecular tools for monitoring genetic diversity and studying gene functions in laboratory axolotls. Overall, this study highlights the cross-taxa utility that transcriptomic data might have to assess the genetic variation of the experimental specimens, which might help to shorten the journey towards reproducible research.
结果:使用来自9个不同项目的基因表达数据,核苷酸序列变体进行了表征,并揭示了实验标本的独特遗传背景。这项研究提供了沿着预测的蛋白质编码基因的数千个核苷酸变体的目录,同时确定实验室人群中色素表型之间的全基因组差异。
结论:对遗传变异的认识可以指导更好的实验设计,同时有助于开发分子工具来监测遗传多样性和研究实验室中的基因功能。总的来说,这项研究强调了转录组数据可能必须评估实验样本的遗传变异的交叉分类的效用,这可能有助于缩短可重复研究的旅程。