Project description:The degree of yellowing in tobacco leaves is an important indicator for determining the maturity and harvesting time of tobacco leaves. Reduction in chlorophyll is of utility for promoting the concentrated maturation of tobacco leaves and achieving mechanised harvesting and mining, and utilising tobacco yellow leaf regulatory genes is of great significance for the selection and breeding of tobacco varieties suitable for mechanised harvesting and the resolution of the molecular mechanisms controlling leaf colouration. In this study, the phenotypes of the yellow-leaf K326 and K326 varieties were analysed, and it was observed that the yellow-leaf K326 variety exhibited a distinct yellow leaf phenotype with a significant reduction in chlorophyll content. Subsequently, using a combination of BSA-seq, transcriptomic sequencing (RNA-seq), and proteomic sequencing approaches, we identified the candidate gene Nitab4.5_0008674g0010 that encodes dihydroneopterin aldolase as a factor associated with tobacco leaf yellowing. Finally, by measuring the folate content in K326 and Huangye K326, the folate content in Huangye K326 was observed to be significantly lower than that in K326, thus indicating that folate synthesis plays a crucial role in phenotypic changes in tobacco yellow leaves. This study is the first to use BSA-seq combined with RNA-seq and proteomic sequencing to identify candidate genes in tobacco yellow leaves. The results provide a theoretical basis for the analysis of the mechanism of tobacco yellow leaf mutations.
Project description:The small RNAs and their targets were characterized in Amborella genome by deep sequencing the small RNA populations of leaf tissue and opened-female flower tissue. The small RNA targets were also validated from degradome populations of leaf tissue and opened-female flower tissue. We generated integrative maps of small RNA profiles (sRNA-seq) and degradome (PARE-seq) profiles to characterize the miRNAs and their targets from Amborella.
Project description:High-throughput RNA, sRNA and degradome sequencing were performed to identify a large number of miRNAs in G. biloba leaf to provide useful information for uncovering the regulatory networks of color formation in G. biloba leaves.
Project description:The small RNAs and their targets were characterized in Amborella genome by deep sequencing the small RNA populations of leaf tissue and opened-female flower tissue. The small RNA targets were also validated from degradome populations of leaf tissue and opened-female flower tissue.
Project description:The small RNAs and their targets were characterized in lettuce (Lactuca sativa) genome by deep sequencing the small RNA populations of leaf tissues (cv. Salinas, Cobham and Diana), inoculated with Bremia and mock. The small RNA targets were also validated using PARE/degradome data derived from the same tissues.
Project description:Tobacco (Nicotiana tabacum L.) is an important cash crop, and the size of its leaves significantly influences both yield and quality. However, the upper part of tobacco leaves, due to its dense tissue structure, often faces issues such as narrow and thick leaves during the production of roasted cigarettes. These problems have a severe impact on the yield and quality of the upper leaf. Although the mechanism of leaf size regulation in Arabidopsis thaliana has been extensively studied, it remains unclear for tobacco. Therefore, this research aimed to investigate the role of the NtAN3 gene in regulating tobacco leaf size by utilizing the NC82 variety. The researchers created both an overexpression mutant (G27) and a silencing mutant (M21) of the NtAN3 gene and examined their impact on leaf size using cell morphology observation and transcriptome analysis. These research findings offer valuable insights for molecular breeding aimed at improving tobacco yield and enhancing the availability of upper leaves.
Project description:Subsequently, using a combination of BSA-seq, transcriptomic sequencing (RNA-seq), and proteomic sequencing approaches, we identified the candidate gene Nitab4.5_0008674g0010 that encodes dihydroneopterin aldolase as a factor associated with tobacco leaf yellowing.