Evidence map›Paper›PMID 26116219›Full record

ArticlePlant cell reports2015

Transcriptome sequencing reveals the roles of transcription factors in modulating genotype by nitrogen interaction in maize.

Qiuyue Chen, Zhipeng Liu, Baobao Wang, Xufeng Wang, Jinsheng Lai, Feng Tian

Open access · hybridAbstract read
In one paragraph

Article in Plant cell reports, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
3.1field-weighted citation impact, top 8% 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

14 citing papers in PubMed, 25 citations in OpenAlex.

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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 at 1 institution in 1 country.

Qiuyue ChenNational Maize Improvement Center of China, China Agricultural University, Beijing, 100193, China.
Zhipeng LiuNational Maize Improvement Center of China, China Agricultural University, Beijing, 100193, China.
Baobao WangNational Maize Improvement Center of China, China Agricultural University, Beijing, 100193, China.
Xufeng WangNational Maize Improvement Center of China, China Agricultural University, Beijing, 100193, China.
Jinsheng LaiNational Maize Improvement Center of China, China Agricultural University, Beijing, 100193, China.
Feng TianNational Maize Improvement Center of China, China Agricultural University, Beijing, 100193, China. ft55@cau.edu.cn.
China Agricultural University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

key messageGlobal transcriptome analysis in maize revealed differential nitrogen response between genotypes and implicate a crucial role of transcription factors in driving genotype by nitrogen interactions at gene expression level. Developing nitrogen-efficient cultivars are essential for sustainable and productive agriculture. Nitrogen use efficiency of plants is highly dependent on the interaction of environmental and genetic variation and results in adaptive phenotypes. This study used transcriptome sequencing to perform a comprehensive genotype by nitrogen (G × N) interaction analysis for two elite Chinese maize inbreds grown at normal and low nitrogen levels in field conditions. We demonstrated that the two maize inbreds showed contrasting agronomic and transcriptomic responses to changes in nitrogen availability. A total of 96 genes with a significant G × N interaction were detected. After characterizing the expression patterns of G × N interaction genes, we found that the G × N interaction genes tended to show condition-specific differential expression. The functional annotations of G × N interaction genes revealed that many different kinds of genes were involved in G × N interactions, but a significant enrichment for transcription factors was detected, particularly the AP2/EREBP and WRKY family, suggesting that transcription factors might play important roles in driving G × N interaction at gene expression level for nitrogen response in maize. Taken together, these results not only provide novel insights into the mechanism of nitrogen response in maize and set important basis for further characterization but also have important implications for other genotype by stress interaction.

Indexed as

Gene Expression Regulation, PlantGene Expression ProfilingGenotypeNitrogenPlant ProteinsTranscription FactorsTranscriptomeZea maysNitrogenPlant ProteinsTranscription FactorsG × N interactionNitrogen responseRNA-seqTranscription factorZea mays

Identifiers

PMID26116219
PMCPMC4569664
OpenAlexW2190174748

What OpenQuestion holds

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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.