Evidence map›Paper›PMID 30744569›Full record

ArticleBMC plant biology2019

Transcriptomic analysis reveals adaptive strategies to chronic low nitrogen in Tibetan wild barley.

Xiaoyan Quan, Jianbin Zeng, Guang Chen, Guoping Zhang

Open access · goldAbstract read
In one paragraph

Article in BMC plant biology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
4.1field-weighted citation impact, top 7% 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

16 citing papers in PubMed, 31 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

4 authors at 2 institutions in 1 country.

Xiaoyan QuanAgronomy Department, Institute of Crop Science, Zhejiang University, Hangzhou, 310058, People's Republic of China.
Jianbin ZengAgronomy Department, Institute of Crop Science, Zhejiang University, Hangzhou, 310058, People's Republic of China.
Guang ChenAgronomy Department, Institute of Crop Science, Zhejiang University, Hangzhou, 310058, People's Republic of China.
Guoping ZhangAgronomy Department, Institute of Crop Science, Zhejiang University, Hangzhou, 310058, People's Republic of China. zhanggp@zju.edu.cn.
Zhejiang University · CNQingdao Agricultural University · CN

Funding

China Agriculture Research System CARS-05Jiangsu Collaborative Innovation Center for Modern Crop Production JCIC-MCPNatural Science Foundation of China 31620103912
6 · The paper itself

Abstract

backgroundDevelopment of crop cultivars with high low nitrogen (LN) tolerance or nitrogen use efficiency (NUE) is imperative for sustainable agriculture development. Tibetan wild barley is rich in genetic diversity and may provide elite genes for LN tolerance improvement. Little has been known about transcriptional responses of the wild barley to chronic LN stress.

resultsIn this study, transcriptomic profiling of two Tibetan wild barley genotypes, LN- tolerant XZ149 and LN-sensitive XZ56 has been conducted using RNA-Seq to reveal the genotypic difference in response to chronic LN stress. A total of 520 differentially expressed genes (DEGs) were identified in the two genotypes at 12 d after LN stress, and these DEGs could be mainly mapped to 49 metabolism pathways. Chronic LN stress lead to genotype-dependent responses, and the responsive pattern in favor of root growth and stress tolerance may be the possible mechanisms of the higher chronic LN tolerance in XZ149.

conclusionThere was a distinct difference in transcriptional profiling between the two wild barley genotypes in response to chronic LN stress. The identified new candidate genes related to LN tolerance may cast a light on the development of cultivars with LN tolerance.

Indexed as

Gene Expression ProfilingGene Expression Regulation, PlantGenotypeHordeumNitrogenStress, PhysiologicalTibetNitrogenBarleyChronic low N stressDifferentially expressed genesGenotypesLow N toleranceRNA-Seq

Identifiers

PMID30744569
PMCPMC6371475
OpenAlexW2913610181

What OpenQuestion holds

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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.