Department of Plant Sciences, University of California, Davis, CA 95616.
Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing 100081, China.
Proc Natl Acad Sci U S A. 2023 Sep 19;120(38):e2306494120. doi: 10.1073/pnas.2306494120. Epub 2023 Sep 13.
Wheat is an important contributor to global food security, and further improvements are required to feed a growing human population. Functional genetics and genomics tools can help us to understand the function of different genes and to engineer beneficial changes. In this study, we used a promoter capture assay to sequence 2-kb regions upstream of all high-confidence annotated genes from 1,513 mutagenized plants from the tetraploid wheat variety Kronos. We identified 4.3 million induced mutations with an accuracy of 99.8%, resulting in a mutation density of 41.9 mutations per kb. We also remapped Kronos exome capture reads to Chinese Spring RefSeq v1.1, identified 4.7 million mutations, and predicted their effects on annotated genes. Using these predictions, we identified 59% more nonsynonymous substitutions and 49% more truncation mutations than in the original study. To show the biological value of the promoter dataset, we selected two mutations within the promoter of the vernalization gene. Both mutations, located within transcription factor binding sites, significantly altered expression, and one reduced the number of spikelets per spike. These publicly available sequenced mutant datasets provide rapid and inexpensive access to induced variation in the promoters and coding regions of most wheat genes. These mutations can be used to understand and modulate gene expression and phenotypes for both basic and commercial applications, where limited governmental regulations can facilitate deployment. These mutant collections, together with gene editing, provide valuable tools to accelerate functional genetic studies in this economically important crop.
小麦是全球粮食安全的重要贡献者,需要进一步改进以养活不断增长的人口。功能遗传学和基因组学工具可以帮助我们了解不同基因的功能,并进行有益的基因改造。在这项研究中,我们使用启动子捕获测定法对来自四倍体小麦品种 Kronos 的 1513 株诱变植物中所有高可信度注释基因的上游 2kb 区域进行测序。我们鉴定出了 430 万个诱导突变,准确率为 99.8%,导致每 kb 有 41.9 个突变。我们还将 Kronos 外显子捕获读数重新映射到中国春 RefSeq v1.1,鉴定出了 470 万个突变,并预测了它们对注释基因的影响。利用这些预测,我们鉴定出的非同义取代比原始研究多 59%,截短突变比原始研究多 49%。为了展示启动子数据集的生物学价值,我们在春化基因的启动子内选择了两个突变。这两个突变都位于转录因子结合位点内,显著改变了基因表达,其中一个突变减少了每个穗上的小穗数。这些公开提供的测序突变体数据集为大多数小麦基因的启动子和编码区的诱导变异提供了快速且廉价的获取途径。这些突变可用于理解和调节基因表达和表型,具有基础和商业应用价值,而有限的政府监管可以促进其应用。这些突变体库与基因编辑一起,为加速这个经济重要作物的功能遗传学研究提供了有价值的工具。