Identification of Leaf Rust-Related Gene Signature in Wheat (Triticum Aestivum L.) Using High-Throughput Sequencing, Network Analysis, and Machine Learning Algorithms

Identification of Leaf Rust-Related Gene Signature in Wheat (Triticum Aestivum L.) Using High-Throughput Sequencing, Network Analysis, and Machine Learning Algorithms

Abstract Wheat provides staple food and industrial raw material for humans and animals, but its production decreased due to leaf rust (Lr) disease caused by Puccinia triticina by up to 15%. It is challenging to identify Lr-associated genes due to the limited sample size and large genome, which hinde...

Full description

Saved in:
Bibliographic Details
Main Authors: Muhammad Farhan, Muhammad Ikram, Jing-E Sun, San-Wei Yang, Yong Wang
Format: Article
Language:English
Published: SpringerOpen 2025-08-01
Series:Rice
Subjects:
Wheat
Leaf rust
Meta-DEGs
RNA-seq
Machine learning
Disease responsive genes
Online Access:https://doi.org/10.1186/s12284-025-00839-8
Tags: Add Tag
No Tags, Be the first to tag this record!

Similar Items

Similar Items