Minglei Cheng

Mr. Minglei Cheng


Research Focus & Metrics

Academic Career Length

1Year (2026-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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29 May 2026 in Plants
Verified
Journal Article
Open access
PDF file
XLXudong Lu
Xudong Lu
MCMinglei Cheng
Minglei Cheng
YLYaqian Li
Yaqian Li
LSLili Sun
Lili Sun
BNBingjie Niu
Bingjie Niu
LWLixiang Wang
Lixiang Wang
The Northwest soybean production region (covering Shanxi, Shaanxi, Gansu, Ningxia, Xinjiang, central and western Inner Mongolia and northern parts of Hebei) possesses vast cultivated land resources and advantageous light–temperature conditions, endowing soybean with substantial yield potential. In this study, two natural soybean populations originating from this region were used to systematically investigate the phenotypic variation in two important agronomic traits, plant height (PH) and main stem node number (NN). The results showed abundant genetic variation for both traits. Through genome-wide association analysis (GWAS) and employing a joint detection across multi-environments (control false positives), 5 SNPs significantly associated with PH and 18 SNPs significantly associated with NN were identified, among which four SNPs were detected associated with both traits. Candidate genes were further screened within the ±100 kb intervals flanking lead SNPs at association peaks. By integrating gene expression levels of different soybean tissues and their correlations with the phenotypes, two candidate genes associated with both PH and NN were determined. These findings provide a theoretical basis for the identification and utilization of soybean germplasm resources in Northwest China, and lay a solid foundation for breeding high-yield and high-quality soybean varieties through molecular breeding.

21 May 2026 in Plants
Verified
Journal Article
Open access
PDF file
BNBingjie Niu
Bingjie Niu
MCMinglei Cheng
Minglei Cheng
XLXudong Lu
Xudong Lu
LSLili Sun
Lili Sun
SLShuang Lu
Shuang Lu
LWLixiang Wang
Lixiang Wang
Soybean (Glycine max (L.) Merr.) is a globally crucial food crop and a model plant for studying symbiotic nitrogen fixation in legumes. Triacontanol (TRIA) is a natural plant growth regulator that enhances photosynthetic efficiency, stress tolerance, antioxidant enzyme activities and yield in crops. However, its regulatory role in nodulation and nitrogen fixation in legumes remains unclear. In this study, soybean seedlings inoculated with Bradyrhizobium japonicum strain USDA110 were treated with different concentrations of TRIA (0, 0.33, 0.5, 1 and 2 μg/mL). Then, oxidative stress indicators and comparative transcriptomic analysis were performed to check the oxidative status and screen the candidate genes under TRIA treatment. Our results showed that the 0.5 μg/mL TRIA treatment produced the greatest nodule number. TRIA treatment significantly induced antioxidant responses in soybean roots. Comparative transcriptome identified 867 differentially expressed genes (DEGs), Gene Ontology and Kyoto Encyclopedia of Genes and Genomes enrichment analyses of DEGs revealed that a large number of genes were enriched in pathways related to oxidative activity. Combined with the expression pattern, we identified a Glutathione S-Transferase family gene, GmHSP26 (Glyma.07G139700), whose expression was induced by both TRIA and rhizobial infection, with its promoter activity was activated throughout the entire process of nodule development. Further function study using overexpression and gene editing proved that GmHSP26 was a positive regulator of soybean nodulation. Collectively, this study identifies the optimal TRIA concentration for promoting soybean nodulation, reveals the function and mechanism of GmHSP26 in response to TRIA-regulated nodulation, and provides a theoretical basis and genetic resource for enhancing nodulation and nitrogen fixation in leguminous crops through exogenous growth regulators.