The <i>GmGDPD</i> family regulates phosphorus efficiency in soybean and enables precision breeding with domestication‐lost alleles
Phosphorus (P) deficiency severely limits soybean productivity, yet the genetic basis of P efficiency remains underexplored. Here, we systematically identified 27 GmGDPD genes in soybean (Glycine max), revealing that family expansion was driven by segmental/tandem duplication events, accompanied by functional diversification through acquisition of protein kinases, catalytic domain-like kinase and GUB_WAK_bind domains. Transcriptome and reverse transcription quantitative PCR analyses demonstrated that genes, including GmGDPD2/9/12/14, were significantly induced under low Pi stress, correlating with enhanced root apical meristem activity. Haplotype association analysis across 559 soybean accessions identified elite haplotypes (GmGDPD4-Hap4, GmGDPD9-Hap3, GmGDPD14-Hap4, and GmGDPD12-Hap4) associated with enhanced Pi efficiency traits. Notably, these superior haplotypes were enriched in wild soybeans (Glycine soja) but drastically reduced in cultivated varieties due to domestication bottlenecks. A high-accuracy kompetitive allele-specific PCR marker targeting GmGDPD2-Hap5 enabled rapid screening of Pi-efficient germplasm. Hydroponic validation confirmed that Hap5 materials significantly enhanced root traits under low Pi conditions, with 41% longer roots, 36% larger root surface area, 31% the relative root volume, and 100% relative root tip number compared to non-Hap5 genotypes. Evolutionary analyses highlighted soybean-specific domain innovation in the GmGDPD members, suggesting adaptive roles in coordinating phospholipid metabolism and kinase signaling under Pi stress. Our findings propose an allele-replenishment strategy to reintroduce wild-derived Pi-efficient alleles into modern cultivars, bridging the gap between domestication-driven allele loss and sustainable breeding. The functional markers and mechanistic insights established here advance precision breeding for reducing fertilizer dependency while stabilizing yields in Pi-deficient soils, offering a genomic toolkit for soybean improvement.
Authors
- Haiyan Lü
- Dan Zhang (ORCID: https://orcid.org/0000-0001-6119-9533)
- Qiqi Huang
- Huanhuan Gao (ORCID: https://orcid.org/0000-0002-4701-7913)
- Erhui Xiong (ORCID: https://orcid.org/0000-0001-5819-888X)
- Mingrui Huo (ORCID: https://orcid.org/0000-0001-7766-6431)
- Dandan Hu (ORCID: https://orcid.org/0000-0001-7204-9602)
- Lina Zhang (ORCID: https://orcid.org/0000-0003-3890-8690)
- Jinying Li (ORCID: https://orcid.org/0000-0001-9053-2745)
- Mengjun Xu (ORCID: https://orcid.org/0000-0002-8406-3214)
- Shanshan Chu (ORCID: https://orcid.org/0000-0002-9778-1784)
- Huifang Zuo (ORCID: https://orcid.org/0009-0002-3641-614X)
- Mengshi He (ORCID: https://orcid.org/0009-0009-0654-1135)
Institutions
- Henan Academy of Agricultural Sciences (CN)
- Henan Agricultural University (CN)
Publication Details
- Journal
- The Plant Genome
- Published
- 2025-08-11
- DOI
- https://doi.org/10.1002/tpg2.70094
- Citations
- 2
- Primary Topic
- Plant nutrient uptake and metabolism
- Type
- article
- Field-Weighted Citation Impact
- 3.50
Funders
- National Natural Science Foundation of China
- National Science and Technology Major Project