Evidence map›Paper›PMID 36672798›Full record

ArticleGenes2022

Genome-Wide Identification and Analysis of the GRAS Transcription Factor Gene Family in

Sijia Hou, Qianqian Zhang, Jing Chen, Jianqiao Meng, Cong Wang, Junhong Du, Yunqian Guo

Open access · goldAbstract read
In one paragraph

Article in Genes, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
7.1field-weighted citation impact, top 4% 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

9 citing papers in PubMed, 13 citations in OpenAlex.

  1. Article
  2. Genome-Wide Identification of the GRAS Transcription Factor Family inInternational journal of molecular sciences · 2026
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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

7 authors at 2 institutions in 1 country.

Sijia HouCenter for Computational Biology, National Engineering Laboratory for Tree Breeding, College of Biological Science and Technology, Beijing Forestry University, Beijing 100083, China.
Qianqian ZhangChinese Institute for Brain Research, Beijing 102206, China.
Jing ChenCenter for Computational Biology, National Engineering Laboratory for Tree Breeding, College of Biological Science and Technology, Beijing Forestry University, Beijing 100083, China.
Jianqiao MengCenter for Computational Biology, National Engineering Laboratory for Tree Breeding, College of Biological Science and Technology, Beijing Forestry University, Beijing 100083, China.
Cong WangCenter for Computational Biology, National Engineering Laboratory for Tree Breeding, College of Biological Science and Technology, Beijing Forestry University, Beijing 100083, China.
Junhong DuCenter for Computational Biology, National Engineering Laboratory for Tree Breeding, College of Biological Science and Technology, Beijing Forestry University, Beijing 100083, China.
Yunqian GuoCenter for Computational Biology, National Engineering Laboratory for Tree Breeding, College of Biological Science and Technology, Beijing Forestry University, Beijing 100083, China.
Beijing Forestry University · CNChinese Institute for Brain Research · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

GRAS genes exist widely and play vital roles in various physiological processes in plants. In this study, to identify Theobroma cacao (T. cacao) GRAS genes involved in environmental stress and phytohormones, we conducted a genome-wide analysis of the GRAS gene family in T. cacao. A total of 46 GRAS genes of T. cacao were identified. Chromosomal distribution analysis showed that all the TcGRAS genes were evenly distributed on ten chromosomes. Phylogenetic relationships revealed that GRAS proteins could be divided into twelve subfamilies (HAM: 6, LISCL: 10, LAS: 1, SCL4/7: 1, SCR: 4, DLT: 1, SCL3: 3, DELLA: 4, SHR: 5, PAT1: 6, UN1: 1, UN2: 4). Of the T. cacao GRAS genes, all contained the GRAS domain or GRAS superfamily domain. Subcellular localization analysis predicted that TcGRAS proteins were located in the nucleus, chloroplast, and endomembrane system. Gene duplication analysis showed that there were two pairs of tandem repeats and six pairs of fragment duplications, which may account for the rapid expansion in T. cacao. In addition, we also predicted the physicochemical properties and cis-acting elements. The analysis of GO annotation predicted that the TcGRAS genes were involved in many biological processes. This study highlights the evolution, diversity, and characterization of the GRAS genes in T. cacao and provides the first comprehensive analysis of this gene family in the cacao genome.

Indexed as

CacaoGene Expression ProfilingMultigene FamilyPhylogenyPlant ProteinsTranscription FactorsPlant ProteinsTranscription Factorsgene duplicationgenome-wide analysisGRAS transcription factorplant growth and developmentsyntenic analysisTheobroma cacao

Identifiers

PMID36672798
PMCPMC9858872
OpenAlexW4313244674

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.