Integrating genome and transcriptome-wide data to explore the expression dynamics of TCP genes in Pisum sativum under salt stress

Salt stress severely restricts plant growth and productivity. TCP genes, which are plant-specific transcription factors, play a crucial role in the stress response. However, their functions in pea (<i>Pisum sativum</i>) remain poorly understood. Here, we identified 21 <i>PsTCP</i> genes in pea, classified into Class I (PCF) and Class II (CYC/TB1 and CIN) through phylogenetic analysis. While physicochemical properties varied significantly within the <i>PsTCP</i> family, gene structures and conserved motifs were highly conserved among subfamilies. Comparative homology analysis revealed closer relationships between pea <i>TCP</i> genes and dicots (<i>Arabidopsis</i>) than monocots (rice). <i>Cis</i>-regulatory element analysis suggested roles in growth, hormone response, and stress adaptation. Under salt stress, <i>PsTCP</i> genes exhibited divergent expression patterns, with <i>PsTCP17</i> showing significant upregulation under extreme stress. Weighted gene co-expression network (WGCNA) and gene ontology (GO) enrichment analyses identified <i>PsTCP20</i> as a hub gene regulating photosynthesis and metabolic processes. Tissue-specific expression across 11 pea tissues further highlighted their functional diversity. This study provides insights into the molecular mechanisms of salt stress responses in pea and offers genetic resources for breeding salt-tolerant varieties.

Authors

Institutions

Publication Details

Journal
Frontiers in Plant Science
Published
2025-05-01
DOI
https://doi.org/10.3389/fpls.2025.1580890
Citations
2
Primary Topic
Photosynthetic Processes and Mechanisms
Type
article
Field-Weighted Citation Impact
1.61
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Integrating genome and transcriptome-wide data to explore the expression dynamics of TCP genes in Pisum sativum under salt stress

Song Fangyuan, Yong Li, Jin Huang, Wen Deng et al.
2 citations
Frontiers in Plant Science
Photosynthetic Processes and Mechanisms
1.61
article

Integrating genome and transcriptome-wide data to explore the expression dynamics of TCP genes in Pisum sativum under salt stress

Song Fangyuan, Yong Li, Jin Huang, Wen Deng, Guo Zhiyue
article en
2 citations

Abstract

Salt stress severely restricts plant growth and productivity. TCP genes, which are plant-specific transcription factors, play a crucial role in the stress response. However, their functions in pea (<i>Pisum sativum</i>) remain poorly understood. Here, we identified 21 <i>PsTCP</i> genes in pea, classified into Class I (PCF) and Class II (CYC/TB1 and CIN) through phylogenetic analysis. While physicochemical properties varied significantly within the <i>PsTCP</i> family, gene structures and conserved motifs were highly conserved among subfamilies. Comparative homology analysis revealed closer relationships between pea <i>TCP</i> genes and dicots (<i>Arabidopsis</i>) than monocots (rice). <i>Cis</i>-regulatory element analysis suggested roles in growth, hormone response, and stress adaptation. Under salt stress, <i>PsTCP</i> genes exhibited divergent expression patterns, with <i>PsTCP17</i> showing significant upregulation under extreme stress. Weighted gene co-expression network (WGCNA) and gene ontology (GO) enrichment analyses identified <i>PsTCP20</i> as a hub gene regulating photosynthesis and metabolic processes. Tissue-specific expression across 11 pea tissues further highlighted their functional diversity. This study provides insights into the molecular mechanisms of salt stress responses in pea and offers genetic resources for breeding salt-tolerant varieties.

Frontiers in Plant ScienceVol. 16
Hubei Academy of Agricultural Sciences (CN)
Openalex Percentile: Top 18%
Photosynthetic Processes and Mechanisms
1.61
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.