Evidence map›Paper›PMID 31775351›Full record

ArticleInternational journal of molecular sciences2019

Transcriptomic and Co-Expression Network Profiling of Shoot Apical Meristem Reveal Contrasting Response to Nitrogen Rate between

Xiaoxiang Zhang, Juan Zhou, Niansheng Huang, Lanjing Mo, Minjia Lv, Yingbo Gao, Chen Chen, Shuangyi Yin, Jing Ju, Guichun Dong and 6 more

Abstract read
In one paragraph

Article in International journal of molecular sciences, 2019. 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
–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

10 citing papers in PubMed.

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  7. Elevated atmospheric COPlant-environment interactions (Hoboken, N.J.) · 2021
    Article
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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

16 authors.

Xiaoxiang ZhangJiangsu Key Laboratory of Crop Genetics and Physiology/Co-Innovation Center for Modern Production Technology of Grain Crops, Yangzhou University, Yangzhou 225009, China.
Juan ZhouJiangsu Key Laboratory of Crop Genetics and Physiology/Co-Innovation Center for Modern Production Technology of Grain Crops, Yangzhou University, Yangzhou 225009, China.
Niansheng HuangLixiahe Agricultural Research Institute of Jiangsu Province, Yangzhou 225007, China.
Lanjing MoJiangsu Key Laboratory of Crop Genetics and Physiology/Co-Innovation Center for Modern Production Technology of Grain Crops, Yangzhou University, Yangzhou 225009, China.
Minjia LvJiangsu Key Laboratory of Crop Genetics and Physiology/Co-Innovation Center for Modern Production Technology of Grain Crops, Yangzhou University, Yangzhou 225009, China.
Yingbo GaoJiangsu Key Laboratory of Crop Genetics and Physiology/Co-Innovation Center for Modern Production Technology of Grain Crops, Yangzhou University, Yangzhou 225009, China.
Chen ChenZhenjiang Agricultural Research Institute of Jiangsu Province, Jurong, 212400, China.
Shuangyi YinJiangsu Key Laboratory of Crop Genetics and Physiology/Co-Innovation Center for Modern Production Technology of Grain Crops, Yangzhou University, Yangzhou 225009, China.
Jing JuCollege of Environmental Science and Engineering, Yangzhou University, Yangzhou 225000, China.
Guichun DongJiangsu Key Laboratory of Crop Genetics and Physiology/Co-Innovation Center for Modern Production Technology of Grain Crops, Yangzhou University, Yangzhou 225009, China.
Yong ZhouJiangsu Key Laboratory of Crop Genetics and Physiology/Co-Innovation Center for Modern Production Technology of Grain Crops, Yangzhou University, Yangzhou 225009, China.
Zefeng YangJiangsu Key Laboratory of Crop Genetics and Physiology/Co-Innovation Center for Modern Production Technology of Grain Crops, Yangzhou University, Yangzhou 225009, China.
Aihong LiLixiahe Agricultural Research Institute of Jiangsu Province, Yangzhou 225007, China.
Yulong WangJiangsu Key Laboratory of Crop Genetics and Physiology/Co-Innovation Center for Modern Production Technology of Grain Crops, Yangzhou University, Yangzhou 225009, China.
Jianye HuangJiangsu Key Laboratory of Crop Genetics and Physiology/Co-Innovation Center for Modern Production Technology of Grain Crops, Yangzhou University, Yangzhou 225009, China.
Youli YaoJiangsu Key Laboratory of Crop Genetics and Physiology/Co-Innovation Center for Modern Production Technology of Grain Crops, Yangzhou University, Yangzhou 225009, China.

Funding

Jiangsu Agricultural Science and Technology Independent Innovation Fund CX(19)3060Major Basic Research Project of the Natural Science Foundation of the Jiangsu Higher Education Institutions 15KJA210003National Natural Science Foundation of China 31571608Natural Science Foundation of Jiangsu Province BK20151311the Open Funds of the Key Laboratory of Plant Functional Genomics of the Ministry of Education ML201903the Social Development Project of Yangzhou YZ2018067
6 · The paper itself

Abstract

Reducing nitrogen (N) input is a key measure to achieve a sustainable rice production in China, especially in Jiangsu Province. Tiller is the basis for achieving panicle number that plays as a major factor in the yield determination. In actual production, excessive N is often applied in order to produce enough tillers in the early stages. Understanding how N regulates tillering in rice plants is critical to generate an integrative management to reduce N use and reaching tiller number target. Aiming at this objective, we utilized RNA sequencing and weighted gene co-expression network analysis (WGCNA) to compare the transcriptomes surrounding the shoot apical meristem of

Indexed as

TranscriptomeGene Expression ProfilingGene Regulatory NetworksMeristemNitrogenOryzaPlant ProteinsPlant ShootsSequence Analysis, RNANitrogenPlant Proteinsco-expression networknitrogen raterice (Oryza sativa L.)shoot apical meristemtillertranscriptomic analysis

Identifiers

PMID31775351
PMCPMC6928681

What OpenQuestion holds

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LicenceCC BY
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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.