Dengji Wang
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Research Subjects
Dengji Wang has a total of 7 co-authors. Here are the top co-authors by number of shared publications:
- Congcong Shen
Shenzhen Branch, Guangdong Laboratory for Lingnan Modern Agriculture, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen 518120, China
1 shared publication - Duxiong Li
Shenzhen Branch, Guangdong Laboratory for Lingnan Modern Agriculture, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen 518120, China
1 shared publication - Jianlong Xu
Institute of Crop Sciences/State Key Laboratory of Crop Gene Resources and Breeding/National Key Facility for Crop Gene Resources and Genetic Improvement, Chinese Academy of Agricultural Sciences, Beijing, China
1 shared publication - Kai Chen
Shenzhen Branch, Guangdong Laboratory for Lingnan Modern Agriculture, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen 518120, China
1 shared publication - Laiyuan Zhai
Shenzhen Branch, Guangdong Laboratory for Lingnan Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen 518120, China
1 shared publication - Ningning Ren
Shenzhen Branch, Guangdong Laboratory for Lingnan Modern Agriculture, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen 518120, China
1 shared publication
Latest Publications
- Open Access
Identification of Advantaged Genes for Lodging Resistance-Related Traits in the Temperate geng Group (Oryza sativa L.) Using a Genome-Wide Association Study
With the endless growth of the population and development of the economy and living standards, a high yield with good grain quality has become the prime objective of breeding. However, lodging is a major factor leading to a significant decline in rice (Oryza sativa L.) production and quality. We conducted genome-wide association analysis to detect quantitative trait loci (QTL)-related lodging resistance, using 395 temperate geng accessions. A total of 50 QTL affecting the six traits were detected, using 1,438,279 high-quality single nucleotide polymorphism markers. Five important QTL clusters were detected affecting the lodging resistance-related traits. The ten candidate genes were detected by performing gene differential expression analysis and haplotype analysis. Among them, LOC_Os07g48570 (OsDof-23) for qLA7.2, qSA7.2 and qPR7.3, LOC_Os08g29110 (wp2) for qLA8 and qSA8, and LOC_Os11g36440 (MHZ5) for qPR11 and qBR11.1 were considered the most likely candidate genes based on functional annotations. The results may facilitate the breeding of rice varieties resistant to lodging, to overcome the adverse effects of climate change.
Open AccessIdentification of Advantaged Genes for Lodging Resistance-Related Traits in the Temperate geng Group (Oryza sativa L.) Using a Genome-Wide Association Study
With the endless growth of the population and development of the economy and living standards, a high yield with good grain quality has become the prime objective of breeding. However, lodging is a major factor leading to a significant decline in rice (Oryza sativa L.) production and quality. We conducted genome-wide association analysis to detect quantitative trait loci (QTL)-related lodging resistance, using 395 temperate geng accessions. A total of 50 QTL affecting the six traits were detected, using 1,438,279 high-quality single nucleotide polymorphism markers. Five important QTL clusters were detected affecting the lodging resistance-related traits. The ten candidate genes were detected by performing gene differential expression analysis and haplotype analysis. Among them, LOC_Os07g48570 (OsDof-23) for qLA7.2, qSA7.2 and qPR7.3, LOC_Os08g29110 (wp2) for qLA8 and qSA8, and LOC_Os11g36440 (MHZ5) for qPR11 and qBR11.1 were considered the most likely candidate genes based on functional annotations. The results may facilitate the breeding of rice varieties resistant to lodging, to overcome the adverse effects of climate change.