Identification and Expression Analysis of NAC Transcription Factors Related to Rust Resistance in Foxtail Millet

Foxtail millet (<i>Setaria italica</i>), a vital cereal crop in China, serves as both a staple food and forage source but is threatened by rust disease caused by <i>Uromyces setariae-italicae</i> (<i>Usi</i>), leading to severe yield and quality losses. The NAM, ATAF1/2, and CUC2 (NAC) transcription factor family represents one of the largest plant-specific regulatory gene families, playing pivotal roles in development and stress responses. However, the functional relevance of NAC genes in foxtail millet's defense against this pathogen remains unexplored. Here, we systematically analyzed 33 <i>SiNAC</i> genes from the foxtail millet genome. Phylogenetic analysis classified these genes into 11 subgroups, while chromosomal mapping localized them to nine chromosomes unevenly. Promoter analysis identified stress- and plant hormone-related <i>cis</i>-elements, suggesting functional diversity. Expression profiling analysis showed that most <i>SiNAC</i> genes exhibit tissue-specific expression patterns. Quantitative real-time PCR (qRT-PCR) results indicated that 30 genes responded to <i>Usi</i> infection, with 17 showing a strong association with rust resistance. Three resistance-associated genes demonstrated transactivation activity and nuclear localization, indicating their regulatory function in defense responses. This study provides both mechanistic insights into <i>SiNAC</i>-mediated rust resistance and potential targets for molecular breeding in foxtail millet.

Authors

Institutions

Publication Details

Journal
Plants
Published
2025-05-17
DOI
https://doi.org/10.3390/plants14101507
Primary Topic
Plant Gene Expression Analysis
Type
article
Field-Weighted Citation Impact
0.00

Funders

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

Identification and Expression Analysis of NAC Transcription Factors Related to Rust Resistance in Foxtail Millet

Jia Liu, Hui Bai, Ping Xuan, Mengya Zhang et al.
1 links
Plants
Plant Gene Expression Analysis
article

Identification and Expression Analysis of NAC Transcription Factors Related to Rust Resistance in Foxtail Millet

Jia Liu, Hui Bai, Ping Xuan, Mengya Zhang, Zhiyong Li, Zhiping Dong, Ke Gong, Ji-Fang Ma
article en

Abstract

Foxtail millet (<i>Setaria italica</i>), a vital cereal crop in China, serves as both a staple food and forage source but is threatened by rust disease caused by <i>Uromyces setariae-italicae</i> (<i>Usi</i>), leading to severe yield and quality losses. The NAM, ATAF1/2, and CUC2 (NAC) transcription factor family represents one of the largest plant-specific regulatory gene families, playing pivotal roles in development and stress responses. However, the functional relevance of NAC genes in foxtail millet's defense against this pathogen remains unexplored. Here, we systematically analyzed 33 <i>SiNAC</i> genes from the foxtail millet genome. Phylogenetic analysis classified these genes into 11 subgroups, while chromosomal mapping localized them to nine chromosomes unevenly. Promoter analysis identified stress- and plant hormone-related <i>cis</i>-elements, suggesting functional diversity. Expression profiling analysis showed that most <i>SiNAC</i> genes exhibit tissue-specific expression patterns. Quantitative real-time PCR (qRT-PCR) results indicated that 30 genes responded to <i>Usi</i> infection, with 17 showing a strong association with rust resistance. Three resistance-associated genes demonstrated transactivation activity and nuclear localization, indicating their regulatory function in defense responses. This study provides both mechanistic insights into <i>SiNAC</i>-mediated rust resistance and potential targets for molecular breeding in foxtail millet.

PlantsVol. 14(10)
Ministry of Agriculture and Rural Affairs (CN), Hebei Academy of Agriculture and Forestry Sciences (CN)
National Natural Science Foundation of China, Natural Science Foundation of Hebei Province
Zero hunger
Openalex Percentile: Top 90%
Plant Gene Expression Analysis
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.