Nature CommunicationsPlant BiologyPeer-reviewed journal article
Integrative Omics reveals genetic basis and TaMYB7-A1's function in wheat WUE and drought resilience
Yuxin ZhouiD, Dongzhi WangiD, H. M. WangiD, Yunzhou QiaoiD, Peng ZhaoiD, Yuan CaoiD, Xuemei LiuiD, Yiman YangiD, Xuelei LiniD, Shengbao XuiD, Baodi DongiD, Jun Ying XiaoiD
- Citations
- 26
- FWCI
- 12.14
- Field percentile
- top 1%
Abstract
Improving water use efficiency (WUE) and drought resistance in wheat is critical for ensuring global food security under changing climate conditions. Here, we integrated multi-omic data, including population-scale phenotyping, transcriptomics, and genomics, to dissect the genetic and molecular mechanisms underlying WUE and drought resilience in wheat. Genome-wide association studies (GWAS) revealed 8,135 SNPs associated with WUE-related traits, identifying 258 conditional and non-conditional QTLs, many of which co-localized with known drought-resistance genes. Pan-transcriptome analysis uncovered tissue-specific expression patterns, core and unique gene functions, and dynamic sub-genomic biases in response to drought. eQTL mapping pinpointed 146,966 regulatory loci, including condition-specific hotspots enriched for genes involved in water regulation, osmoregulation, and photosynthesis. Integration of Weighted gene co-expression network analysis (WGCNA), Summary-data-based Mendelian Randomization (SMR) and GWAS, eQTLs identified 207 candidate causal genes as key regulators for WUE-related traits in wheat, such as TaMYB7-A1. Functional analyses found that TaMYB7-A1 enhances drought tolerance by promoting root growth, reducing oxidative stress, and improving osmotic regulation, enabling better water access and survival under stress. It also increases photosynthesis efficiency and WUE, boosting yield under drought without compromising performance in well-watered conditions, making it ideal target for breeding. Our findings provide a comprehensive omic framework for understanding the genetic architecture of WUE and drought resistance, offering valuable targets for breeding resilient wheat varieties.
- organism: plant (other)
- assay: bulk RNA-seq
- assay: DNA methylation
- research focus: gene regulatory network inference
- research focus: cell type annotation
- research focus: differential expression
- approach: statistical model
- approach: genetic perturbation / CRISPR
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