Evidence map›Paper›PMID 36319957›Full record

ArticleBMC plant biology2022

Genome-wide characterization and expression analysis of the growth-regulating factor family in Saccharum.

Zilin Wu, Xinglong Chen, Danwen Fu, Qiaoying Zeng, Xiaoning Gao, Nannan Zhang, Jiayun Wu

Abstract read
In one paragraph

Article in BMC plant biology, 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
–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

4 citing papers in PubMed.

  1. Genetic diversity, GWAS, and candidate genes identification for plant architecture traits in maize (Zea mays L.).TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2026
    Article
  2. Article
  3. Article
  4. Genome-wide identification ofFrontiers in plant science · 2023
    Article
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

7 authors.

Zilin WuGuangdong Sugarcane Genetic Improvement Engineering Centre, Institute of Nanfan & Seed Industry, Guangdong Academy of Sciences, 510316, Guangzhou, Guangdong, China.
Xinglong ChenGuangdong Sugarcane Genetic Improvement Engineering Centre, Institute of Nanfan & Seed Industry, Guangdong Academy of Sciences, 510316, Guangzhou, Guangdong, China.
Danwen FuGuangdong Sugarcane Genetic Improvement Engineering Centre, Institute of Nanfan & Seed Industry, Guangdong Academy of Sciences, 510316, Guangzhou, Guangdong, China.
Qiaoying ZengGuangdong Sugarcane Genetic Improvement Engineering Centre, Institute of Nanfan & Seed Industry, Guangdong Academy of Sciences, 510316, Guangzhou, Guangdong, China.
Xiaoning GaoGuangdong Sugarcane Genetic Improvement Engineering Centre, Institute of Nanfan & Seed Industry, Guangdong Academy of Sciences, 510316, Guangzhou, Guangdong, China.
Nannan ZhangGuangdong Sugarcane Genetic Improvement Engineering Centre, Institute of Nanfan & Seed Industry, Guangdong Academy of Sciences, 510316, Guangzhou, Guangdong, China. zhangnn23@mail2.sysu.edu.cn.
Jiayun WuGuangdong Sugarcane Genetic Improvement Engineering Centre, Institute of Nanfan & Seed Industry, Guangdong Academy of Sciences, 510316, Guangzhou, Guangdong, China. jiayunng66@163.com.

Funding

GDAS' Project of Science and Technology Development 2019GDASYL-0103030Technical System Innovation Team for Sugarcane Sisal Industry of Guangdong Province 2022KJ104-05Zhanjiang plan for navigation 2020LHJH006
6 · The paper itself

Abstract

backgroundGrowth regulating factors (GRFs) are transcription factors that regulate diverse biological and physiological processes in plants, including growth, development, and abiotic stress. Although GRF family genes have been studied in a variety of plant species, knowledge about the identification and expression patterns of GRFs in sugarcane (Saccharum spp.) is still lacking.

resultsIn the present study, a comprehensive analysis was conducted in the genome of wild sugarcane (Saccharum spontaneum) and 10 SsGRF genes were identified and characterized. The phylogenetic relationship, gene structure, and expression profiling of these genes were analyzed entirely under both regular growth and low-nitrogen stress conditions. Phylogenetic analysis suggested that the 10 SsGRF members were categorized into six clusters. Gene structure analysis indicated that the SsGRF members in the same group were greatly conserved. Expression profiling demonstrated that most SsGRF genes were extremely expressed in immature tissues, implying their critical roles in sugarcane growth and development. Expression analysis based on transcriptome data and real-time quantitative PCR verification revealed that GRF1 and GRF3 were distinctly differentially expressed in response to low-nitrogen stress, which meant that they were additional participated in sugarcane stress tolerance.

conclusionOur study provides a scientific basis for the potential functional prediction of SsGRF and will be further scrutinized by examining their regulatory network in sugarcane development and abiotic stress response, and ultimately facilitating their application in cultivated sugarcane breeding.

Indexed as

SaccharumGene Expression Regulation, PlantNitrogenPhylogenyPlant BreedingPlant ProteinsNitrogenPlant ProteinsAbiotic stressGene expressionGrowing developmentGrowth-regulating factors

Identifiers

PMID36319957
PMCPMC9628180

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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.