Genome-wide analysis of the TCP transcription factor family in mung bean and its dynamic regulatory network under salt stress

The TCP gene family encodes plant-specific transcription factors that regulate plant growth, development, and stress responses. Although this gene family has been widely studied in various species, its function in mung bean (<i>Vigna radiata</i>) remains unclear. In this study, we identified 26 VrTCP genes, which were classified into two groups: Class I (PCF subfamily) and Class II (CYC/TB1 and CIN subfamilies). These family members likely function in the nucleus. VrTCP genes are unevenly distributed across chromosomes and are associated with gene duplication events. Their cis-regulatory elements are involved in plant growth, hormone signaling, and stress responses. Co-expression network analysis further supports these findings, identifying 1,304 genes co-expressed with VrTCPs, among which <i>VrTCP19</i>, <i>VrTCP10</i>, <i>VrTCP16</i>, and <i>VrTCP20</i> act as hub genes regulating hormone signaling and the MAPK pathway. Overall, VrTCP genes play a key role in salt stress responses, providing molecular insights that may facilitate the development of salt-tolerant mung bean varieties through molecular breeding. These findings also offer a foundation for future functional studies aimed at improving crop resilience under abiotic stress conditions.

Authors

Institutions

Publication Details

Journal
Frontiers in Plant Science
Published
2025-06-27
DOI
https://doi.org/10.3389/fpls.2025.1602810
Citations
2
Primary Topic
Plant Molecular Biology Research
Type
article
Field-Weighted Citation Impact
3.50

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Genome-wide analysis of the TCP transcription factor family in mung bean and its dynamic regulatory network under salt stress

Na Qin, Lianhe Zhang, Kun Xie, Guangyong Li et al.
2 citations
Frontiers in Plant Science
Plant Molecular Biology Research
3.50
article

Genome-wide analysis of the TCP transcription factor family in mung bean and its dynamic regulatory network under salt stress

Na Qin, Lianhe Zhang, Kun Xie, Guangyong Li, Kai‐Hua Jia, Min Liu, Zhiwei Wang, Nana Li, Shuisheng Hou, Chen Xue, Longxin Wang, Ru-Zhi Li, Ru-Mei Tian, Yong-Yi Yang, Jiu-Yan Zhao
article en
2 citations

Abstract

The TCP gene family encodes plant-specific transcription factors that regulate plant growth, development, and stress responses. Although this gene family has been widely studied in various species, its function in mung bean (<i>Vigna radiata</i>) remains unclear. In this study, we identified 26 VrTCP genes, which were classified into two groups: Class I (PCF subfamily) and Class II (CYC/TB1 and CIN subfamilies). These family members likely function in the nucleus. VrTCP genes are unevenly distributed across chromosomes and are associated with gene duplication events. Their cis-regulatory elements are involved in plant growth, hormone signaling, and stress responses. Co-expression network analysis further supports these findings, identifying 1,304 genes co-expressed with VrTCPs, among which <i>VrTCP19</i>, <i>VrTCP10</i>, <i>VrTCP16</i>, and <i>VrTCP20</i> act as hub genes regulating hormone signaling and the MAPK pathway. Overall, VrTCP genes play a key role in salt stress responses, providing molecular insights that may facilitate the development of salt-tolerant mung bean varieties through molecular breeding. These findings also offer a foundation for future functional studies aimed at improving crop resilience under abiotic stress conditions.

Frontiers in Plant ScienceVol. 16
Henan University of Science and Technology (CN), University of Jinan (CN), Shandong Academy of Agricultural Sciences (CN), Affiliated Hospital of Taishan Medical University (CN), Shandong First Medical University (CN), Weifang University (CN)
National Natural Science Foundation of China, Natural Science Foundation of Shandong Province
Openalex Percentile: Top 8%
Plant Molecular Biology Research
3.50
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.