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Related Experiment Video

Updated: Jun 26, 2026

High Throughput Image-Based Phenotyping for Determining Morphological and Physiological Responses to Single and Combined Stresses in Potato

High Throughput Image-Based Phenotyping for Determining Morphological and Physiological Responses to Single and Combined Stresses in Potato

Published on: June 7, 2024

Systems-Level Developmental Reprogramming Under Waterlogging Stress in Cowpea Revealed by Integrated Phenotypic,

Mohammad A Ghanbari¹, Omolayo J Olorunwa², Mohit Verma^1,3

¹Institute for Genomics, Biocomputing & Biotechnology, Mississippi State, Mississippi, USA.

Plant, Cell & Environment

|June 25, 2026

Summary

This summary is machine-generated.

Cowpea genotypes show varying waterlogging tolerance, with the tolerant UCR369 genotype exhibiting superior physiological recovery and dynamic transcriptional adjustments. These findings provide a framework for breeding climate-resilient cowpea varieties for waterlogged regions.

Keywords:

KEGG enrichment cowpea machine learning models transcriptomics waterlogging stress weighted gene vo‐expression network analysis (WGCNA)

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Development of a Cabbage Protoplast System for Studying Hypoxia Tolerance in Brassica

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Published on: September 20, 2024

Area of Science:

Plant Biology
Genetics
Agronomy

Background:

Cowpea (Vigna unguiculata (L.) Walp.) is a vital climate-resilient legume, crucial for global food security.
Increasing climate-driven flooding and waterlogging threaten cowpea productivity and seed quality in vulnerable regions.

Purpose of the Study:

To investigate the transcriptional responses of different cowpea genotypes to waterlogging across various growth stages.
To identify key genes, pathways, and molecular mechanisms underlying waterlogging tolerance in cowpea.

Main Methods:

RNA-sequencing (RNA-seq) to analyze gene expression profiles under waterlogging stress.
Integration of phenotypic, physiological, biochemical, yield, and seed-quality data with transcriptomic analysis.
Utilized differential expression analysis, KEGG pathway enrichment, transcription factor profiling, WGCNA, and XGBoost machine learning.

Main Results:

The tolerant genotype UCR369 showed enhanced physiological recovery and transcriptional dynamism compared to EpicSelect.4.
Waterlogging induced stage- and genotype-dependent alterations in metabolic pathways (phenylpropanoid, flavonoid, carbohydrate, lipid biosynthesis) and physiological traits.
Key transcription factor families (MYB, bHLH, ERF/AP2, WRKY, HD-ZIP, HSF) were differentially activated, suggesting roles in stress signaling and protection.

Conclusions:

A systems-level framework for cowpea waterlogging tolerance was established, highlighting cuticle/barrier remodeling, carbohydrate/redox reprogramming, and stress signaling.
Identified specific genes (LTP3, CER1/CER22, CASPL1D1, NIA2/NR2, ICL, SAG12, HSP21, ACS6) as potential targets for breeding.
Findings provide biologically grounded targets for marker development and functional validation to enhance cowpea resilience in waterlogged environments.