Identification of Chilling-Responsive Genes in Litchi chinensis by Transcriptomic Analysis Underlying Phytohormones and Antioxidant Systems

Zhang, Xiaoting; Líu, Hao; Huang, Lijie; Zhou, Biyan

doi:10.3390/ijms23158424

Cited by 3 publications

(1 citation statement)

References 55 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Structural equation model can effectively reveal the relationship between plant metabolic biological processes [36]. Partial least squares structural equation model (PLS-SEM) analysis based on RNA-Seq data clari ed the possible ways of litchi responding to cold storage [37]. PLS-SEM analysis showed that arbuscular mycorrhizal fungus enhances lateral root formation in Poncirus trifoliata [38].…”

Section: Introductionmentioning

confidence: 99%

Deciphering the Anthocyanin Metabolism Gene Network in tea plant(Camellia sinensis) through Structural Equation modeling

Xia,

Chen,

Chen

et al. 2024

Preprint

View full text Add to dashboard Cite

Background：Tea is an important cash crop that significantly contributes to rural development, poverty reduction and food security in many developing countries. It provides livelihoods for millions of smallholder producers and aids their economic stability. Anthocyanins in tea leaves provides excellent commercial quality and germplasm exploration potential. These compounds give tea leaves vibrant colors and increase health benefits. The current understanding of the synergistic regulation mechanisms responsible for color changes in purple tea, attributed to anthocyanin degradation, remains unclear. Results: In this study, we have identified 30 gene families within the tea genome that are associated related to with anthocyanin metabolism from tea genome. These gene families play distinct roles in the biosynthesis of anthocyanin including the formation of the core, structure, modification of the molecular framework, facilitation of transport process, regulation of gene expression, breakdown pathways, sugar transportation and iron ion respectively. The transcriptome expression pattern of gene families associated with anthocyanin accumulation in tea leaves of two varieties (N61 and Zikui) and natural development fading of these pigments in the tea leaves of one variety (ZJ). Subsequently, we investigated the synergistic mechanisms of anthocyanin metabolism related gene families within tea leaves using structural equation modeling. The results showed that sugar transport positively affects anthocyanin transportation, and promotes anthocyanin degradation during leaf pigmentation, whereas, it inhibits anthocyanin degradation during the fading of leaf color. Further, Iron ions facilitate the degradation of anthocyanins during their deposition and conversely, impede this degradation process during digestion. These finding suggests that tea plants may regulate the synthesis and degradation of anthocyanins through sugar transport and iron ions. And ensures healthy levels and vibrant colors. Conclusions：Our study contributes valuable information into the dynamic equilibrium anthocyanin mechanism and sheds light on complex regulatory mechanisms that govern the synthesis, transport and degradation of these pigments. These insights could be further used to develop strategies for enhancing anthocyanins content in unique tea germplasm to aid tea industry in producing new tea products with increased health benefits and aesthetic appeals.

show abstract

Section: Introductionmentioning

confidence: 99%

Deciphering the Anthocyanin Metabolism Gene Network in tea plant(Camellia sinensis) through Structural Equation modeling

Xia,

Chen,

Chen

et al. 2024

Preprint

View full text Add to dashboard Cite

show abstract

Unveiling the translational dynamics of lychee (Litchi chinesis Sonn.) in response to cold stress

Chen,

Dai,

Chen

et al. 2024

BMC Genomics

View full text Add to dashboard Cite

Cold stress poses a significant threat to the quality and productivity of lychee (Litchi chinensis Sonn.). While previous research has extensively explored the genomic and transcriptomic responses to cold stress in lychee, the translatome has not been thoroughly investigated. This study delves into the translatomic landscape of the 'Xiangjinfeng' cultivar under both control and low-temperature conditions using RNA sequencing and ribosome profiling. We uncovered a significant divergence between the transcriptomic and translatomic responses to cold exposure. Additionally, bioinformatics analyses underscored the crucial role of codon occupancy in lychee's cold tolerance mechanisms. Our findings reveal that the modulation of translation via codon occupancy is a vital strategy to abiotic stress. Specifically, the study identifies ribosome stalling, particularly at the E site AAU codon, as a key element of the translation machinery in lychee's response to cold stress. This work enhances our understanding of the molecular dynamics of lychee's reaction to cold stress and emphasizes the essential role of translational regulation in the plant's environmental adaptability.

show abstract

Deciphering the anthocyanin metabolism gene network in tea plant (Camellia sinensis) through structural equation modeling

Xia,

Chen,

Chen

et al. 2024

BMC Genomics

View full text Add to dashboard Cite

Background Tea is an important cash crop that significantly contributes to rural development, poverty reduction and food security in many developing countries. It provides livelihoods for millions of smallholder producers and aids their economic stability. Anthocyanins in tea leaves provides excellent commercial quality and germplasm exploration potential. These compounds give tea leaves vibrant colors and increase health benefits. The current understanding of the synergistic regulation mechanisms responsible for color changes in purple tea, attributed to anthocyanin degradation, remains unclear. ResultsIn this study, we have identified 30 gene families within the genome that are associated to with anthocyanin metabolism from tea. These gene families play distinct roles in the biosynthesis of anthocyanin including the formation of the core, structure, modification of the molecular framework, facilitation of transport process, regulation of gene expression, breakdown pathways, sugar transportation and iron ion respectively. Subsequently, we investigated the synergistic mechanisms of anthocyanin metabolism related gene families within tea leaves using structural equation modeling. The results showed that sugar transport positively affects anthocyanin transportation, and promotes anthocyanin degradation during leaf pigmentation, whereas, it inhibits anthocyanin degradation during the fading of leaf color. Further, Iron ions facilitate the degradation of anthocyanins during their deposition and conversely, impede this degradation process during digestion. These finding suggests that tea plants may regulate the synthesis and degradation of anthocyanins through sugar transport and iron ions ensure healthy levels and vibrant colors.Conclusions Our study contributes valuable information into the dynamic equilibrium anthocyanin mechanism and sheds light on complex regulatory mechanisms that govern the synthesis, transport and degradation of these pigments. These insights could be further used to develop strategies for enhancing anthocyanins content in unique tea germplasm to aid tea industry in producing new tea products with increased health benefits and aesthetic appeals.

show abstract

Identification of Chilling-Responsive Genes in Litchi chinensis by Transcriptomic Analysis Underlying Phytohormones and Antioxidant Systems

Cited by 3 publications

References 55 publications

Deciphering the Anthocyanin Metabolism Gene Network in tea plant(Camellia sinensis) through Structural Equation modeling

Deciphering the Anthocyanin Metabolism Gene Network in tea plant(Camellia sinensis) through Structural Equation modeling

Unveiling the translational dynamics of lychee (Litchi chinesis Sonn.) in response to cold stress

Deciphering the anthocyanin metabolism gene network in tea plant (Camellia sinensis) through structural equation modeling

Contact Info

Product

Resources

About