Department of Biological Sciences, University of Alberta, Edmonton, AB T6G 2E9, Canada.
CyVerse, University of Arizona, AZ,1657 East Helen St, Tucson AZ, USA 85721 USA.
Gigascience. 2019 Oct 1;8(10). doi: 10.1093/gigascience/giz126.
The 1000 Plant transcriptomes initiative (1KP) explored genetic diversity by sequencing RNA from 1,342 samples representing 1,173 species of green plants (Viridiplantae).
This data release accompanies the initiative's final/capstone publication on a set of 3 analyses inferring species trees, whole genome duplications, and gene family expansions. These and previous analyses are based on de novo transcriptome assemblies and related gene predictions. Here, we assess their data and assembly qualities and explain how we detected potential contaminations.
These data will be useful to plant and/or evolutionary scientists with interests in particular gene families, either across the green plant tree of life or in more focused lineages.
1000 种植物转录组计划(1KP)通过对来自代表 1173 种绿色植物(Viridiplantae)的 1342 个样本的 RNA 进行测序,探索了遗传多样性。
本数据版本是对该计划最后/总结性出版物中关于 3 项分析的补充,这些分析推断了物种树、全基因组加倍和基因家族扩张。这些和以前的分析都是基于从头转录组组装和相关基因预测。在这里,我们评估了它们的数据和组装质量,并解释了我们如何检测潜在的污染。
这些数据将对有兴趣的植物和/或进化生物学家有用,这些数据对特定基因家族感兴趣,无论是在整个绿色植物生命之树中,还是在更集中的谱系中。