Sequencing 4.3 million mutations in wheat promoters to understand and modify gene expression
Junli Zhang;;Hongchun Xiong;;Germán F. Burguener;;Hans Vasquez-Gross;;Qiujie Liu;;Juan M. Debernardi;;Alina Akhunova;;Kimberly Garland-Campbell;;Shahryar F. Kianian;;Gina Brown-Guedira;;Curtis Pozniak;;Justin D. Faris;;Eduard Akhunov;;Jorge Dubcovsky
Proceedings of the National Academy of Sciences of the United States of America; 2023; IF 11.10
DOI:10.1073/pnas.2306494120
ABSTRACT
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 VRN-A1 vernalization gene. Both mutations, located within transcription factor binding sites, significantly altered VRN-A1 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.
