OsTBP2.1, a TATA-Binding Protein, Alters the Ratio of to and Improves Rice Grain Yield.

The and isoforms play important roles in the uptake and transport of nitrate during rice growth. However, it is unclear which cis-acting element controls the transcription of into these specific isoforms. In this study, we used a yeast one-hybrid assay to obtain the TATA-box binding protein OsTBP2.

OsLSD1.1 is involved in the photosystem II reaction and affects nitrogen allocation in rice.

Nitrogen (N) is an essential nutrient element for plants; however, high N accumulation often leads to a decrease in photosynthetic nitrogen use efficiency (PNUE). In rice (Oryza sativa L.), well-developed aerenchyma is formed to promote oxygen transport from the shoot to the root tips as an adaptation to submerged and oxygen-deficient environment.

Knockdown of a Novel Gene Increases Sensitivity to Drought Stress in Rice.

Drought stress is a major environmental stress, which adversely affects the biological and molecular processes of plants, thereby impairing their growth and development. In the present study, we found that the expression level of which encodes for a nucleus-localized protein member belonging to transcription factor IID (TFIID) family, was significantly induced by polyethylene glycol (PEG) treatment. Therefore, knockdown mutants of gene were generated to investigate the role of OsTBP2.

Correction to: Incorporating pleiotropic quantitative trait loci in dissection of complex traits: seed yield in rapeseed as an example.

The article "Incorporating pleiotropic quantitative trait loci in dissection of complex traits: seed yield in rapeseed as an example", written by J. Zou et al, was originally published Online First without open access.

Incorporating pleiotropic quantitative trait loci in dissection of complex traits: seed yield in rapeseed as an example.

A comprehensive linkage atlas for seed yield in rapeseed. Most agronomic traits of interest for crop improvement (including seed yield) are highly complex quantitative traits controlled by numerous genetic loci, which brings challenges for comprehensively capturing associated markers/genes. We propose that multiple trait interactions underlie complex traits such as seed yield, and that considering these component traits and their interactions can dissect individual quantitative trait loci (QTL) effects more effectively and improve yield predictions.

QTL meta-analysis of root traits in Brassica napus under contrasting phosphorus supply in two growth systems.

A high-density SNP-based genetic linkage map was constructed and integrated with a previous map in the Tapidor x Ningyou7 (TNDH) Brassica napus population, giving a new map with a total of 2041 molecular markers and an average marker density which increased from 0.39 to 0.97 (0.