School of Biological Sciences, The Univ. of Western Australia, Perth, 6009, Australia.
DIADE, Univ. of Montpellier, CIRAD, IRD, Montpellier, 34830, France.
Plant Genome. 2022 Sep;15(3):e20221. doi: 10.1002/tpg2.20221. Epub 2022 May 29.
Bread wheat (Triticum aestivum L.) is one of humanity's most important staple crops, characterized by a large and complex genome with a high level of gene presence-absence variation (PAV) between cultivars, hampering genomic approaches for crop improvement. With the growing global population and the increasing impact of climate change on crop yield, there is an urgent need to apply genomic approaches to accelerate wheat breeding. With recent advances in DNA sequencing technology, a growing number of high-quality reference genomes are becoming available, reflecting the genetic content of a diverse range of cultivars. However, information on the presence or absence of genomic regions has been hard to visualize and interrogate because of the size of these genomes and the lack of suitable bioinformatics tools. To address this limitation, we have produced a wheat pangenome graph maintained within an online database to facilitate interrogation and comparison of wheat cultivar genomes. The database allows users to visualize regions of the pangenome to assess PAV between bread wheat genomes.
面包小麦(Triticum aestivum L.)是人类最重要的主食作物之一,其基因组庞大且复杂,品种间存在高水平的基因缺失-存在变异(PAV),这给作物改良的基因组方法带来了困难。随着全球人口的增长和气候变化对作物产量的影响日益加剧,迫切需要应用基因组方法来加速小麦育种。随着 DNA 测序技术的不断进步,越来越多的高质量参考基因组开始出现,反映了不同品种的遗传内容。然而,由于这些基因组的大小以及缺乏合适的生物信息学工具,有关基因组区域存在或缺失的信息一直难以可视化和探究。为了解决这一限制,我们构建了一个在线数据库中维护的小麦泛基因组图谱,以促进对小麦品种基因组的探究和比较。该数据库允许用户可视化泛基因组区域,以评估面包小麦基因组之间的 PAV。