Evidence map›Paper›PMID 25781606›Full record

ArticlePloS one2015

Transcriptome analysis of maize leaf systemic symptom infected by Bipolaris zeicola.

Ming Liu, Jian Gao, Fuqiang Yin, Guoshu Gong, Cheng Qin, Kunhao Ye, Min Zhang, Xiaofang Sun, You Zhou, Youju Zhang

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.6field-weighted citation impact, top 14% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

10 citing papers in PubMed, 16 citations in OpenAlex.

  1. The Candidate Effector Cgmas2 Orchestrates Biphasic Infection ofInternational journal of molecular sciences · 2026
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors at 2 institutions in 2 countries.

Ming LiuCollege of Agricultural Science, Sichuan Agricultural University, Chengdu, China; School of Agricultural Sciences, Xichang College, Xichang, China.
Jian GaoCollege of Agricultural Science, Sichuan Agricultural University, Chengdu, China.
Fuqiang YinCollege of Agricultural Science, Sichuan Agricultural University, Chengdu, China; School of Agricultural Sciences, Xichang College, Xichang, China.
Guoshu GongCollege of Agricultural Science, Sichuan Agricultural University, Chengdu, China.
Cheng QinKey Laboratory of Biology and Genetic Improvement of Maize in the Southwest Region, Ministry of Agriculture; Maize Research Institute, Sichuan Agricultural University, Wenjiang, Sichuan, China.
Kunhao YeCollege of Agricultural Science, Sichuan Agricultural University, Chengdu, China.
Min ZhangCollege of Agricultural Science, Sichuan Agricultural University, Chengdu, China.
Xiaofang SunCollege of Agricultural Science, Sichuan Agricultural University, Chengdu, China.
You ZhouCollege of Agricultural Science, Sichuan Agricultural University, Chengdu, China.
Youju ZhangCollege of Agricultural Science, Sichuan Agricultural University, Chengdu, China.
Sichuan Agricultural University · CNXichang University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Bipolaris zeicola is a fungal pathogen that causes Northern corn leaf spot (NCLS), which is a serious foliar disease in maize and one of the most significant pathogens affecting global food security. Here, we report a genome-wide transcriptional profile analysis using next-generation sequencing (NGS) of maize leaf development after inoculation with B. zeicola. We performed High-Throughput Digital Gene Expression analysis to identify differentially expressed genes (DEGs) in resistant inbred Mo17 lines after infection with B. zeicola at four successive disease development stages--CP (contact period), PP (penetration period), IP (incubation period), and DP (disease period); the expression of the genes was compared with those in a CK (mock-treatment) control. In addition, a sensitive maize line (Zheng58) was used for the comparisons with the Mo17. Among all tested genes, 466 differentially expressed genes were identified in all libraries, and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis of these genes suggested that they are involved in many biological processes related to systemic symptom development, such as plant hormone signal transduction, starch and sucrose metabolism, phenylpropanoid biosynthesis and photosynthesis. Our systematic analysis provides comprehensive transcriptomic information regarding systemic symptom development in fungal-infected plants. This information will help in furthering our understanding of the detailed mechanisms of plant responses to fungal infection.

Indexed as

AscomycotaDisease ResistanceGene Expression ProfilingGene Expression Regulation, PlantGenome, PlantPlant DiseasesPlant LeavesTranscriptomeZea mays

Identifiers

PMID25781606
PMCPMC4363367
OpenAlexW2027082051

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.