<p>Cadmium pollution has become a serious global threat to agricultural sustainability. Uncovering genetic loci and candidate genes associated with cadmium tolerance is of great importance. In this study, a BC<sub>4</sub>F<sub>3</sub> population was used to identify quantitative trait loci (QTL) controlling cadmium tolerance in sweet corn seedlings by applying composite interval mapping. The results revealed significant transgressive segregation in the population phenotypes, with broad-sense heritability values of 0.60, 0.63, and 0.66 for seedling height (SH), root length (RL), and seedling fresh weight (SFW), respectively. A total of eight QTLs were detected over two years, distributed on chromosomes 1, 2, 3, 4, and 6, with phenotypic variation explained (PVE) ranging from 6.22% to 8.02%. Among these, five QTLs were associated with SH, with <i>qSH2.1</i> showing the highest PVE. Gene annotation and GO enrichment analysis of the genes within the eight QTL intervals revealed significant enrichment in three pathways: GO:0016667 (oxidoreductase activity, acting on a sulfur group of donors), GO:0030983 (mismatched DNA binding), and GO:0030151 (molybdenum ion binding). Within these significantly enriched pathways, three candidate genes associated with cadmium stress response were identified through integrated analysis of previously published transcriptomic data from seedlings under cadmium stress. These findings will facilitate the identification of functional genes and molecular marker-assisted breeding, thereby improving heavy metal tolerance in sweet corn.</p>

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Genetic dissection of seedling traits in a BC4F3 population under the stress of cadmium in sweet corn

  • Haoxuan Jiang,
  • Yanchao Du,
  • Jianting Lin,
  • Huating Zhao,
  • Xiaming Wu,
  • Faqiang Feng

摘要

Cadmium pollution has become a serious global threat to agricultural sustainability. Uncovering genetic loci and candidate genes associated with cadmium tolerance is of great importance. In this study, a BC4F3 population was used to identify quantitative trait loci (QTL) controlling cadmium tolerance in sweet corn seedlings by applying composite interval mapping. The results revealed significant transgressive segregation in the population phenotypes, with broad-sense heritability values of 0.60, 0.63, and 0.66 for seedling height (SH), root length (RL), and seedling fresh weight (SFW), respectively. A total of eight QTLs were detected over two years, distributed on chromosomes 1, 2, 3, 4, and 6, with phenotypic variation explained (PVE) ranging from 6.22% to 8.02%. Among these, five QTLs were associated with SH, with qSH2.1 showing the highest PVE. Gene annotation and GO enrichment analysis of the genes within the eight QTL intervals revealed significant enrichment in three pathways: GO:0016667 (oxidoreductase activity, acting on a sulfur group of donors), GO:0030983 (mismatched DNA binding), and GO:0030151 (molybdenum ion binding). Within these significantly enriched pathways, three candidate genes associated with cadmium stress response were identified through integrated analysis of previously published transcriptomic data from seedlings under cadmium stress. These findings will facilitate the identification of functional genes and molecular marker-assisted breeding, thereby improving heavy metal tolerance in sweet corn.