Transcriptomic Analysis of Space-Induced Compound Leaf Variants in Medicago sativa: Unveiling Molecular Mechanisms Behind 5- to 13-Leaflet Number Variation in Alfalfa Mutants

(1) Background: Compound leaf morphogenesis in alfalfa (Medicago sativa), a key trait determining yield and agronomic value, is governed by complex molecular mechanisms. (2) Methods: This study systematically investigates the transcriptomic profiles of space-induced alfalfa mutants exhibiting diverse compound leaf numbers through RNA sequencing and Short Time-series Expression Miner (STEM)-based data analysis. (3) Results: Our findings reveal that transcriptional regulators, phosphorylation-related protein kinases, and glycoside hydrolases collectively modulate this trait. Specifically, GRAS and WRKY transcription factors show positive correlations with increased leaflet numbers, highlighting their roles in promoting leaflet initiation. Conversely, transcript levels of serine-threonine/tyrosine-protein kinases are inversely related to leaflet number, suggesting their involvement in suppressing excessive leaflet formation via post-translational modifications. Notably, glycoside hydrolases exhibit suppressed expression in mutants with higher leaflet numbers compared to wild-type plants, implying a regulatory role in balancing cell wall plasticity during morphogenesis. (4) Conclusions: These results provide critical insights into the interplay between transcriptional control, phosphorylation dynamics, and cell wall remodeling in shaping compound leaf architecture. Furthermore, the identified genes and pathways offer novel molecular targets for breeding strategies aimed at optimizing multi-leaflet alfalfa varieties, with potential applications in agricultural productivity and functional genomics.

Authors

Institutions

Publication Details

Journal
Agronomy
Published
2025-11-22
DOI
https://doi.org/10.3390/agronomy15122683
Primary Topic
Plant Molecular Biology Research
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Transcriptomic Analysis of Space-Induced Compound Leaf Variants in Medicago sativa: Unveiling Molecular Mechanisms Behind 5- to 13-Leaflet Number Variation in Alfalfa Mutants

Depeng Wu, Hongmin Li, Yong Wang, Hongshan Yang et al.
Agronomy
Plant Molecular Biology Research
article

Transcriptomic Analysis of Space-Induced Compound Leaf Variants in Medicago sativa: Unveiling Molecular Mechanisms Behind 5- to 13-Leaflet Number Variation in Alfalfa Mutants

Depeng Wu, Hongmin Li, Yong Wang, Hongshan Yang, Jianhua Zhang, Yuwen Li
article en

Abstract

(1) Background: Compound leaf morphogenesis in alfalfa (Medicago sativa), a key trait determining yield and agronomic value, is governed by complex molecular mechanisms. (2) Methods: This study systematically investigates the transcriptomic profiles of space-induced alfalfa mutants exhibiting diverse compound leaf numbers through RNA sequencing and Short Time-series Expression Miner (STEM)-based data analysis. (3) Results: Our findings reveal that transcriptional regulators, phosphorylation-related protein kinases, and glycoside hydrolases collectively modulate this trait. Specifically, GRAS and WRKY transcription factors show positive correlations with increased leaflet numbers, highlighting their roles in promoting leaflet initiation. Conversely, transcript levels of serine-threonine/tyrosine-protein kinases are inversely related to leaflet number, suggesting their involvement in suppressing excessive leaflet formation via post-translational modifications. Notably, glycoside hydrolases exhibit suppressed expression in mutants with higher leaflet numbers compared to wild-type plants, implying a regulatory role in balancing cell wall plasticity during morphogenesis. (4) Conclusions: These results provide critical insights into the interplay between transcriptional control, phosphorylation dynamics, and cell wall remodeling in shaping compound leaf architecture. Furthermore, the identified genes and pathways offer novel molecular targets for breeding strategies aimed at optimizing multi-leaflet alfalfa varieties, with potential applications in agricultural productivity and functional genomics.

AgronomyVol. 15(12)
Jiuquan Iron & Steel (China) (CN), Lanzhou Institute of Husbandry and Pharmaceutical Sciences (CN), Gansu Great Wall Electrical and Electronics Engineering Research Institute (CN), Tianshui Huatian Technology (China) (CN)
Openalex Percentile: Top 74%
Plant Molecular Biology Research
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.