Evidence map›Paper›PMID 35736701›Full record

ArticlePlants (Basel, Switzerland)2022

Comparative Transcriptome Analysis Reveals Common and Developmental Stage-Specific Genes That Respond to Low Nitrogen in Maize Leaves.

Song Guo, Adnan Arshad, Lan Yang, Yusheng Qin, Xiaohuan Mu, Guohua Mi

Open access · goldAbstract read
In one paragraph

Article in Plants (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.9field-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

4 citing papers in PubMed, 9 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 4 institutions in 1 country.

Song GuoInstitute of Agricultural Resources and Environment, Sichuan Academy of Agricultural Sciences, Chengdu 610066, China.
Adnan ArshadCollege of Resources and Environmental Science, China Agricultural University, Beijing 100193, China.ORCID 0000-0002-8755-5281
Lan YangCollege of Resources and Environmental, Hunan Agricultural University, Changsha 410128, China.
Yusheng QinInstitute of Agricultural Resources and Environment, Sichuan Academy of Agricultural Sciences, Chengdu 610066, China.
Xiaohuan MuSynergetic Innovation Center of Henan Grain Crops, College of Agronomy, Henan Agricultural University, Zhengzhou 450002, China.ORCID 0000-0003-4363-6052
Guohua MiCollege of Resources and Environmental Science, China Agricultural University, Beijing 100193, China.ORCID 0000-0001-5249-4362
China Agricultural University · CNSichuan Academy of Agricultural Sciences · CNHenan Agricultural University · CNHunan Agricultural University · CN

Funding

National Science Foundation of China 31672221National Science Foundation of China 41907080Sichuan Science and Technology Program 2020YFH0171
6 · The paper itself

Abstract

A growing leaf can be divided into three sections: division zone, elongation zone, and maturation zone. In previous studies, low nitrogen (LN) inhibited maize growth and development, especially leaf growth; however, the gene expression in response to LN in different regions in leaf were not clear. Here, using hydroponics and a transcriptome approach, we systematically analyzed the molecular responses of those zones and differentially expressed genes (DEG) in response to LN supply. Developmental stage-specific genes (SGs) were highly stage-specific and involved in distinct biological processes. SGs from division (SGs-DZ) and elongation zones (SGs-EZ) were more related to developmentally dependent processes, whereas SGs of the maturation zone (SGs-MZ) were more related to metabolic processes. The common genes (CGs) were overrepresented in carbon and N metabolism, suggesting that rebalancing carbon and N metabolism in maize leaves under LN condition was independent of developmental stage. Coexpression modules (CMs) were also constructed in our experiment and a total of eight CMs were detected. Most of SGs-DZ and SGs-EZ were classified into a set termed CM turquoise, which was mainly enriched in ribosome and DNA replication, whereas several genes from SGs-MZ and CGs were clustered into CM blue, which mainly focused on photosynthesis and carbon metabolism. Finally, a comprehensive coexpression network was extracted from CM blue, and several maize

Indexed as

coexpression modulesdivision zoneelongation zonematuration zoneRNA-seq

Identifiers

PMID35736701
PMCPMC9230787
OpenAlexW4282562055

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.