Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Proteome sequencing of tobacco yellow leaf mutants

ABSTRACT: 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.

ORGANISM(S): Nicotiana Tabacum

SUBMITTER: Renxiang Liu

PROVIDER: PXD053162 | iProX | Sat Jun 15 00:00:00 BST 2024

REPOSITORIES: iProX

ACCESS DATA

Json Xml

Similar Datasets

Revealing the key role of the folate synthesis regulatory gene DHNA in tobacco leaf yellowing based on BSA-seq, RNA-seq, and proteomic sequencing

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.

2024-10-23 | GSE270039 | GEO

Tobacco yellow crinkle virus

Project description:Tobacco yellow crinkle virus overview

| PRJNA69765 | ENA

Detoxification activity and energy cost is attenuated in the whiteﬂies feeding on Tomato yellow leaf curl China virus-infected tobacco plants

2013-05-28 | GSE30409 | GEO

Revealing the key role of the folate synthesis regulatory gene DHNA in tobacco leaf yellowing based on BSA-seq, RNA-seq, and proteomic sequencing

Project description:Revealing the key role of the folate synthesis regulatory gene DHNA in tobacco leaf yellowing based on BSA-seq, RNA-seq, and proteomic sequencing

| PRJNA1124903 | ENA

Detoxification activity and energy cost is attenuated in the whiteM-oM-,M-^Bies feeding on Tomato yellow leaf curl China virus-infected tobacco plants

Project description:We compared the transcriptional profiles of female adult whiteflies of B. tabaci Middle East-Asia Minor 1 feeding on TYLCCNV-free and TYLCCNV-infected tobacco plants using the next-generation sequencing technique. Culture of B (MEAM1 cryptic species) whitefly was maintained on cotton plants. One thousand of newly emerged adults of whitefly on cotton were released onto the leaves of healthy and viruliferous tobacco plants. After 72 h of oviposition, all the adult whiteflies were discarded, and the progeny allowed to develop to adults. The cultures of MEAM1 on tobacco plants were maintained in climate chambers at 27 M-BM-1 1M-BM-0C, a photoperiod of 14 h light/10 h darkness and 70 M-BM-1 10% relative humidity. Approximately 1,000 female adult whiteflies newly emerged from mock-inoculated tobacco plants and 1,000 female adult whiteflies newly emerged from virus-infected tobacco plants were collected and stored at -80M-BM-0C. The RNA was extracted and sequenced using Illunima Analyzer II.

2013-05-28 | E-GEOD-30409 | biostudies-arrayexpress

Transcriptomic profiles of Penicillium citrinum growing on tobacco leaves

Project description:The saprotrophic fungus P. citrinum is a dorminant leaf-degrading fungus in tobacco industry. The genome-wide exprssion analysis involved in fungal growth was analyzed by using high throughput sequencing (RNA-Seq) on two substrates and time points. Our transcriptional profiles revealed that numerous differentially expressed genes (DEGs), of which involved in metabolism, cell transport and cell rescue, were significantly involved in tobacco-degradation process of P. citrinum.

2025-05-05 | GSE202277 | GEO

Nicotiana benthamiana cultivar:Tobacco Bright Yellow

Project description:Nicotiana benthamiana cultivar:Tobacco Bright Yellow Raw sequence reads

| PRJNA600298 | ENA

Tobacco RNA-seq

Project description:Tobacco 8 tissue RNA-seq

| PRJEB46762 | ENA

Single-cell RNA sequencing of tobacco Bright Yellow-2 cell line reveals heterogeneity in cell cycle phase

Project description:Cell proliferation and division are fundamental processes of plant development and homeostasis. With the feature of high homogeneity, tobacco Bright Yellow-2 (BY-2) cells, a so-called “HeLa” cell line in plants, provide a useful system for study the cell cycle of plants, particularly when in combination with the latest high-throughput single-cell RNA sequencing (scRNA-seq) technology. Here, we generated both scRNA-seq and bulk RNA-seq data from the BY-2 cells and found that the enzymatic hydrolysis during protoplasting was the major factor contributing to cell clustering noise. We introduced the ppScoring concept to filter out confounding cells due to protoplasting and clustered the remaining cells into clusters corresponding to G0-G1, S, and G2-M phases as well as clusters with phase transition arrested or cell cycle exit cells. The clustering results were supported by cell cycle phase specific marker genes and reconstruction of the continuous full cell cycle phases, i.e., from G0-G1 to S to G2-M, based on pseudotime trajectory analysis. The clustering results also identified a set of 896 cell cycle marker genes. This work demonstrated cell cycle-dependent transcriptional heterogeneity of the BY-2 cell population, provided marker genes for study of the cell cycle of plants and new insights into the progression of cell division.

2022-01-09 | GSE193131 | GEO