Evidence map›Paper›PMID 28553643›Full record

ArticleInternational journal of genomics2017

Comparative Transcriptome Analyses of Resistant and Susceptible Near-Isogenic Wheat Lines following Inoculation with

Piyi Xing, Xueying Zhang, Yinguang Bao, Yuhai Wang, Honggang Wang, Xingfeng Li

Abstract read
In one paragraph

Article in International journal of genomics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
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

6 citing papers in PubMed.

  1. Beyond Resistance Genes: Silencing Susceptibility.International 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

6 authors.

Piyi XingState Key Laboratory of Crop Biology, Shandong Agricultural University, Taian, Shandong, China.
Xueying ZhangState Key Laboratory of Crop Biology, Shandong Agricultural University, Taian, Shandong, China.
Yinguang BaoAgronomy College, Shandong Agricultural University, Taian, Shandong, China.
Yuhai WangCollege of Life Science, Zaozhuang University, Zaozhuang, Shandong, China.
Honggang WangState Key Laboratory of Crop Biology, Shandong Agricultural University, Taian, Shandong, China.
Xingfeng LiState Key Laboratory of Crop Biology, Shandong Agricultural University, Taian, Shandong, China.ORCID 0000-0003-1943-7328

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Powdery mildew is one of the most important diseases of wheat. In this study, the leaf RNA samples of wheat NILs carrying powdery mildew resistant and susceptible Pm2 alleles (L031 and Chancellor) and its F1 hybrid at two time points (16 h and 96 h postinoculation) were used for RNA-seq analysis. We carry comparison between similar materials at different times and between different materials at same times. The overlapping DEGs between the dominant phenotypes (L031 and F1 hybrid) and the recessive phenotype (Chancellor) were 1028 and 2214 DEGs, which were clearly lower than those between the dominant and recessive parents and thus could provide relatively accurate and valuable information. GO and KEGG enrichment analysis of DEGs revealed that other than the expected defense-related genes, differential up- and downregulation of genes from many other signaling networks were also involved. Comparative transcriptome analysis also revealed that early-stage postinoculation is important and suitable time points to study expression profiles and signaling pathways of resistance-related genes following fungal inoculation. qRT-PCR analyses showed highly consistent expression patterns of genes with RNA-seq data. The results will aid in the identification of genes and signaling pathways involved in powdery mildew response in wheat.

Identifiers

PMID28553643
PMCPMC5434243

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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.