ArticleMolecular genetics and genomics : MGG2021
Genetic dissection of maize seedling traits in an IBM Syn10 DH population under the combined stress of lead and cadmium.
Article in Molecular genetics and genomics : MGG, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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9 citing papers in PubMed, 16 citations in OpenAlex.
- Dissecting the genetic basis of agronomic traits by multi-trait GWAS and genetic networks in maize (aBIOTECH · 2025Article
- Leveraging multi-omics tools to comprehend responses and tolerance mechanisms of heavy metals in crop plants.Functional & integrative genomics · 2024Review
- Advancements and Prospects of Genome-Wide Association Studies (GWAS) in Maize.International journal of molecular sciences · 2024Review
- QTL and Candidate Genes: Techniques and Advancement in Abiotic Stress Resistance Breeding of Major Cereals.International journal of molecular sciences · 2022Review
- An Integration of Linkage Mapping and GWAS Reveals the Key Genes for Ear Shank Length in Maize.International journal of molecular sciences · 2022Article
- Article
- Combined QTL mapping and RNA-Seq pro-filing reveal candidate genes related to low-temperature tolerance in maize.Molecular breeding : new strategies in plant improvement · 2022Article
- Association mapping uncovers maizeFrontiers in plant science · 2022Article
- Review
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Authors and funding
9 authors at 2 institutions in 2 countries.
Funding
Abstract
The heavy metals lead and cadmium have become important pollutants in the environment, which exert negative effects on plant morphology, growth and photosynthesis. It is particularly significant to uncover the genetic loci and the causal genes for lead and cadmium tolerance in plants. This study used an IBM Syn10 DH population to identify the quantitative trait loci (QTL) controlling maize seedling tolerance to lead and cadmium by linkage mapping. The broad-sense heritability of these seedling traits ranged from 65.8-97.3% and 32.0-98.8% under control (CK) and treatment (T) conditions, respectively. A total of 53 and 64 QTL were detected under CK and T conditions, respectively. Moreover, 42 QTL were identified using lead and cadmium tolerance coefficient (LCTC). Among these QTL, five and two major QTL that explained > 10% of phenotypic variation were identified under T condition and using LCTC, respectively. Furthermore, eight QTL were simultaneously identified by T and LCTC, explaining 5.23% to 9.21% of the phenotypic variations. Within these major and common QTL responsible for the combined heavy metal tolerance, four candidate genes (Zm00001d048759, Zm00001d004689, Zm00001d004843, Zm00001d033527) were previously reported to correlate with heavy metal transport and tolerance. These findings will contribute to functional gene identification and molecular marker-assisted breeding for improving heavy metal tolerance in maize.
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