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发表文章

Integrative translational genomics of the GA oxidase superfamily identifies a domestication-selected GmGA2ox16 haplotype for salt tolerance breeding in soybean

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来源:   |  发布时间:2026-04-09   |  【 大  中  小 】

题目

Integrative translational genomics of the GA oxidase superfamily identifies a domestication-selected GmGA2ox16 haplotype for salt tolerance breeding in soybean

作者

Zhao K, Guo D, Shan L, Dong Y, Liu X, Zong C*, Jiao S*, Feng X*, Zhai H*

发表年度

2026

刊物名称

Plant Physiol Biochem

摘要

Soil salinity severely constrains global soybean productivity, yet conventional gene discovery remains bottlenecked by the slow pace of forward genetics and the limited breeding relevance of reverse genetics. Here, we establish a translational genomics paradigm that integrates systematic gene family characterization with large-scale population mining to rapidly identify breeding-ready alleles. We first comprehensively analyzed the soybean GA oxidase (GmGAox) superfamily, revealing 48 genes that expanded via whole-genome and tandem duplications into four subclades with distinct regulatory architectures enriched for stress and hormone-responsive cis-elements. Transcriptome profiling and functional validation identified sixC19-GmGA2oxmembers, particularlyGmGA2ox16, as rapidly salt-inducible genes that enhance antioxidant capacity and confer stress tolerance in yeast and soybean hairy roots. By re-mining 2898 resequenced accessions, we uncovered twoGmGA2ox16haplotypes defined by non-synonymous SNPs (N31D, A182P) in conserved catalytic domains. The superiorGmGA2ox16-Hap1allele exhibits strong domestication selection signatures (71.17% in landraces to 78.10% in improved cultivars). Phenotyping 102 accessions using a wilting index revealedGmGA2ox16-Hap1carriers exhibited significantly superior salt tolerance versusGmGA2ox16-Hap2. This study provides a deployable functional marker that shortcuts the lengthy fine-mapping required for traditional QTL cloning, demonstrating a data-driven framework to accelerate climate-resilient crop breeding. Our work establishes a paradigm for rapidly translating public omics data into agronomically relevant genetic resources, accelerating the development of climate-resilient soybean cultivars.





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