Stage‐specific transcriptome profiling highlights key modules associated with structurally conserved secreted proteins in <i>Puccinia polysora</i> infection of maize

Abstract Southern corn rust (SCR), caused by the biotrophic fungal pathogen Puccinia polysora , is a globally significant disease that poses a severe threat to maize production, particularly in tropical and subtropical regions. Despite its economic importance, many aspects of the molecular interactions between P. polysora and maize remain poorly understood. In this study, we performed stage‐specific transcriptome profiling to explore gene expression dynamics during key phases of P. polysora infection: conidia formation, spore germination, penetration, and colonization. We identified and characterized co‐regulated modules of effector proteins that are critical for successful host infection. Utilizing AlphaFold3, we identified structurally conserved proteins co‐expressed throughout the infection process. Notably, Cluster 7, a structurally conserved protein group, exhibited uniquely peak expression during the penetration stage, suggesting a pivotal role in overcoming host defenses. This research offers new insights into the molecular processes involved in P. polysora infection and provides a valuable resource for developing novel strategies to mitigate the global impact of SCR.

Authors

Institutions

Publication Details

Journal
New plant protection.
Published
2024-12-01
DOI
https://doi.org/10.1002/npp2.19
Citations
1
Primary Topic
Fungal and yeast genetics research
Type
article
Field-Weighted Citation Impact
0.23

Funders

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

Stage‐specific transcriptome profiling highlights key modules associated with structurally conserved secreted proteins in Puccinia polysora infection of maize

Wende Liu, Jie Mei, Yuyan Liu, Zeyu Jiao et al.
1 citations
New plant protection.
Fungal and yeast genetics research
0.23
article

Stage‐specific transcriptome profiling highlights key modules associated with structurally conserved secreted proteins in Puccinia polysora infection of maize

Wende Liu, Jie Mei, Yuyan Liu, Zeyu Jiao, Yuanwen Guo, Yan Yang
article en
1 citations

Abstract

Abstract Southern corn rust (SCR), caused by the biotrophic fungal pathogen Puccinia polysora , is a globally significant disease that poses a severe threat to maize production, particularly in tropical and subtropical regions. Despite its economic importance, many aspects of the molecular interactions between P. polysora and maize remain poorly understood. In this study, we performed stage‐specific transcriptome profiling to explore gene expression dynamics during key phases of P. polysora infection: conidia formation, spore germination, penetration, and colonization. We identified and characterized co‐regulated modules of effector proteins that are critical for successful host infection. Utilizing AlphaFold3, we identified structurally conserved proteins co‐expressed throughout the infection process. Notably, Cluster 7, a structurally conserved protein group, exhibited uniquely peak expression during the penetration stage, suggesting a pivotal role in overcoming host defenses. This research offers new insights into the molecular processes involved in P. polysora infection and provides a valuable resource for developing novel strategies to mitigate the global impact of SCR.

New plant protection.Vol. 1(2)
Shenyang Agricultural University (CN), Anhui Agricultural University (CN), Yunnan Agricultural University (CN), Institute of Plant Protection (CN), Chinese Academy of Agricultural Sciences (CN)
Chinese Academy of Agricultural Sciences, Agricultural Science and Technology Innovation Program
Openalex Percentile: Top 40%
Fungal and yeast genetics research
0.23
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.