Involvement of plant signaling network and cell metabolic homeostasis in nitrogen deficiency-induced early leaf senescence

Asad, Muhammad Asad Ullah; Guan, Xianyue; Zhou, Lujian; Qian, Zhao; Yan, Zhang; Cheng, Fangmin

doi:10.1016/j.plantsci.2023.111855

Cited by 8 publications

(3 citation statements)

References 180 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…CTK has been shown to activate drought resistance or delay leaf senescence in many plant species [40]. Moreover, the interaction between ABA and CTK can regulate leaf senescence under drought conditions [41]. In the present study, the ABA content of Zhengmai 1860 was markedly reduced, while the CTK content was markedly increased, which improved the drought resistance of Zhengmai 1860 [11].…”

Section: Wheat Mirnas Affect the Synthesis And Signal Transduction Of...supporting

confidence: 49%

Differential Transcription Profiling Reveals the MicroRNAs Involved in Alleviating Damage to Photosynthesis under Drought Stress during the Grain Filling Stage in Wheat

Zhou,

Song,

Xue

et al. 2024

IJMS

View full text Add to dashboard Cite

To explore the possible novel microRNA (miRNA) regulatory pathways in Zhengmai 1860, a newly cultivated drought-tolerant wheat (Triticum aestivum L.) cultivar, miRNA transcriptome sequencing of the flag leaves of Zhengmai 1860, drought-sensitive variety Zhoumai 18, and drought-resistant variety Bainong 207 was performed during the grain filling stage. We also observed changes in the chloroplast ultrastructure, phytohormone levels, and antioxidant- and photosynthesis-related physiological indicators in three wheat varieties. The results showed that the flag leaves of the drought-tolerant variety Zhengmai 1860 had higher chlorophyll contents and net photosynthetic rates than those of Zhoumai 18 under drought stress during the grain filling stage; in addition, the chloroplast structure was more complete. However, there was no significant difference between Zhengmai 1860 and Bainong 207. MiRNA transcriptome analysis revealed that the differential expression of the miRNAs and mRNAs exhibited variable specificity. The KEGG pathway enrichment results indicated that most of the genes were enriched in the MAPK signaling pathway, plant hormone signal transduction, photosynthetic antennae protein, and amino acid and carbohydrate metabolism. In the drought-tolerant cultivar Zhengmai 1860, tae-miR408 was targeted to regulate the allene oxide synthase (AOS) gene, inhibit its expression, reduce the AOS content, and decrease the synthesis of jasmonic acid (JA) and abscisic acid (ABA). The results of this study suggest that Zhengmai 1860 could improve the photosynthetic performance of flag leaves by inhibiting the expression of genes involved in the JA pathway through miRNAs under drought conditions. Moreover, multiple miRNAs may target chlorophyll, antioxidant enzymes, phytohormone signal transduction, and other related pathways; thus, it is possible to provide a more theoretical basis for wheat molecular breeding.

show abstract

Section: Wheat Mirnas Affect the Synthesis And Signal Transduction Of...supporting

confidence: 49%

Differential Transcription Profiling Reveals the MicroRNAs Involved in Alleviating Damage to Photosynthesis under Drought Stress during the Grain Filling Stage in Wheat

Zhou,

Song,

Xue

et al. 2024

IJMS

View full text Add to dashboard Cite

show abstract

Section: Analysis Of the Modelsmentioning

confidence: 99%

“…The coloration of the plant's leaf can be influenced in a variety of ways, depending on the availability of nitrogen. In nitrogen deficiency, leaves tend to become paler, yellowish, or light greenish, due to the reduction in chlorophyll synthesis, which is responsible for the green coloration of leaves, and excess nitrogen can lead to a very dark green color of leaves and excessive vegetative growth [41]. The analysis of the metrics highlighted that ResNet-50 had higher values in all metrics, especially in specificity, ranging from 64% to 69%, while personalized CNN had lower specificity, ranging from 41% to 44%.…”

Section: Analysis Of the Modelsmentioning

confidence: 99%

Performance of Neural Networks in the Prediction of Nitrogen Nutrition in Strawberry Plants

Regazzo,

Silva,

Tavares

et al. 2024

AgriEngineering

View full text Add to dashboard Cite

Among the technological tools used in precision agriculture, the convolutional neural network (CNN) has shown promise in determining the nutritional status of plants, reducing the time required to obtain results and optimizing the variable application rates of fertilizers. Not knowing the appropriate amount of nitrogen to apply can cause environmental damage and increase production costs; thus, technological tools are required that identify the plant’s real nutritional demands, and that are subject to evaluation and improvement, considering the variability of agricultural environments. The objective of this study was to evaluate and compare the performance of two convolutional neural networks in classifying leaf nitrogen in strawberry plants by using RGB images. The experiment was carried out in randomized blocks with three treatments (T1: 50%, T2: 100%, and T3: 150% of recommended nitrogen fertilization), two plots and five replications. The leaves were collected in the phenological phase of floral induction and digitized on a flatbed scanner; this was followed by processing and analysis of the models. ResNet-50 proved to be superior compared to the personalized CNN, achieving accuracy rates of 78% and 48% and AUC of 76%, respectively, increasing classification accuracy by 38.5%. The importance of this technique in different cultures and environments is highlighted to consolidate this approach.

show abstract

Editorial: Crop improvement and plant resilience to abiotic stresses

Naeem,

Gill,

Aftab

et al. 2024

Plant Science

View full text Add to dashboard Cite

Involvement of plant signaling network and cell metabolic homeostasis in nitrogen deficiency-induced early leaf senescence

Cited by 8 publications

References 180 publications

Differential Transcription Profiling Reveals the MicroRNAs Involved in Alleviating Damage to Photosynthesis under Drought Stress during the Grain Filling Stage in Wheat

Differential Transcription Profiling Reveals the MicroRNAs Involved in Alleviating Damage to Photosynthesis under Drought Stress during the Grain Filling Stage in Wheat

Performance of Neural Networks in the Prediction of Nitrogen Nutrition in Strawberry Plants

Editorial: Crop improvement and plant resilience to abiotic stresses

Contact Info

Product

Resources

About