2019
DOI: 10.3390/plants8100415
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Characterization and Mapping of a Novel Premature Leaf Senescence Mutant in Common Tobacco (Nicotiana tabacum L.)

Abstract: As the last stage of plant development, leaf senescence has a great impact on plant’s life cycle. Genetic manipulation of leaf senescence has been used as an efficient approach in improving the yield and quality of crop plants. Here we describe an ethyl methane sulfonate (EMS) mutagenesis induced premature leaf senescence mutant yellow leaf 1 (yl1) in common tobacco (Nicotiana tabacum L.). The yl1 plants displayed early leaf yellowing. Physiological parameters and marker genes expression indicated that the yl1… Show more

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Cited by 9 publications
(10 citation statements)
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“…Endogenous levels of abscisic acid (ABA) in the rice premature senescence mutant psl85 increase considerably in the late stage of aging, indicating that psl85 takes part in ABA-induced leaf senescence [ 22 ]. Compared with WT, the tobacco leaf senescence mutant yl1 shows higher mones [ 23 ]. An auxin-auxotrophic mutant of tobacco, IVA3 , shows premature death [ 24 ].…”
Section: Introductionmentioning
confidence: 99%
“…Endogenous levels of abscisic acid (ABA) in the rice premature senescence mutant psl85 increase considerably in the late stage of aging, indicating that psl85 takes part in ABA-induced leaf senescence [ 22 ]. Compared with WT, the tobacco leaf senescence mutant yl1 shows higher mones [ 23 ]. An auxin-auxotrophic mutant of tobacco, IVA3 , shows premature death [ 24 ].…”
Section: Introductionmentioning
confidence: 99%
“…Gene_22548(UNE10) and gene_58303(SPL5) belonged to the significantly expressed transcription factor, gene_38513(EIN3) and gene_26067(ABF2) were enriched in ethylene and ABA signal transduction pathway, gene_14104(At5g53970), gene_20929(UMK3), gene_36428(HSP90) and gene_82898(ACLB-1) were the key DEGs due to PPI analysis. Gene_34964(SAG12) and gene_35004(RBCS) were regarded as the senescence-associated genes 46,47 . Most of the transcript levels detected by qRT-PCR showed the similar patterns with the gene expression levels obtained from RNA-Seq (Supplementary Table S5, Supplementary Figure S2), and the accordance of transcriptome sequencing and qRT-PCR results were confirmed by a high correlation coefficient (R 2 ) of 0.8753 ( Fig.…”
Section: Validation Of the Rna-seq Expression Patterns By Qrt-pcrmentioning
confidence: 99%
“…In addition, up-regulated proteins were also involved in metabolic pathways such as "Protein processing in endoplasmic reticulum" (8), "Tyrosine metabolism" (7), "Phenylpropanoid biosynthesis" (6), "ABC transporters" (5) and "Plant-pathogen interaction" (5) and "Isoquinoline alkaloid biosynthesis" (5). Down-regulation of protein involves in "Photosynthesis" (26), "Carbon fixation in photosynthetic organisms" (18), "Glycolysis/glycogenesis" (11), "Ribosome" (8), "Oxidative phosphorylation" (7), "Pentose phosphate pathway" (7) and so on ( Fig. 5A).…”
Section: Kegg Metabolic Pathway Of Differentially Expressed Proteinsmentioning
confidence: 99%