Evidence map›Paper›PMID 32891114›Full record

ArticleBMC plant biology2020

Genome-wide identification and characterization of GRAS genes in soybean (Glycine max).

Liang Wang, Xianlong Ding, Yingqi Gao, Shouping Yang

Open access · goldAbstract read
In one paragraph

Article in BMC plant biology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 52 papers.

0numbers the graph read from it
0cells of the map it votes in
52citing papers in PubMed
23.9field-weighted citation impact, top 1% 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

52 citing papers in PubMed, 126 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 1 institution in 1 country.

Liang WangSoybean Research Institute, National Center for Soybean Improvement, Key Laboratory of Biology and Genetic Improvement of Soybean (General, Ministry of Agriculture), State Key Laboratory of Crop Genetics and Germplasm Enhancement, Jiangsu Collaborative Innovation Center for Modern Crop Production, College of Agriculture, Nanjing Agricultural University, Nanjing, 210095,, China.
Xianlong DingSoybean Research Institute, National Center for Soybean Improvement, Key Laboratory of Biology and Genetic Improvement of Soybean (General, Ministry of Agriculture), State Key Laboratory of Crop Genetics and Germplasm Enhancement, Jiangsu Collaborative Innovation Center for Modern Crop Production, College of Agriculture, Nanjing Agricultural University, Nanjing, 210095,, China.
Yingqi GaoSoybean Research Institute, National Center for Soybean Improvement, Key Laboratory of Biology and Genetic Improvement of Soybean (General, Ministry of Agriculture), State Key Laboratory of Crop Genetics and Germplasm Enhancement, Jiangsu Collaborative Innovation Center for Modern Crop Production, College of Agriculture, Nanjing Agricultural University, Nanjing, 210095,, China.
Shouping YangSoybean Research Institute, National Center for Soybean Improvement, Key Laboratory of Biology and Genetic Improvement of Soybean (General, Ministry of Agriculture), State Key Laboratory of Crop Genetics and Germplasm Enhancement, Jiangsu Collaborative Innovation Center for Modern Crop Production, College of Agriculture, Nanjing Agricultural University, Nanjing, 210095,, China. spyung@126.com.
Nanjing Agricultural University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundGRAS proteins are crucial transcription factors, which are plant-specific and participate in various plant biological processes. Thanks to the rapid progress of the whole genome sequencing technologies, the GRAS gene families in different plants have been broadly explored and studied. However, comprehensive research on the soybean (Glycine max) GRAS gene family is relatively lagging.

resultsIn this study, 117 Glycine max GRAS genes (GmGRAS) were identified. Further phylogenetic analyses showed that the GmGRAS genes could be categorized into nine gene subfamilies: DELLA, HAM, LAS, LISCL, PAT1, SCL3, SCL4/7, SCR and SHR. Gene structure analyses turned out that the GmGRAS genes lacked introns and were relatively conserved. Conserved domains and motif patterns of the GmGRAS members in the same subfamily or clade exhibited similarities. Notably, the expansion of the GmGRAS gene family was driven both by gene tandem and segmental duplication events. Whereas, segmental duplications took the major role in generating new GmGRAS genes. Moreover, the synteny and evolutionary constraints analyses of the GRAS proteins among soybean and distinct species (two monocots and four dicots) provided more detailed evidence for GmGRAS gene evolution. Cis-element analyses indicated that the GmGRAS genes may be responsive to diverse environmental stresses and regulate distinct biological processes. Besides, the expression patterns of the GmGRAS genes were varied in various tissues, during saline and dehydration stresses and during seed germination processes.

conclusionsWe conducted a systematic investigation of the GRAS genes in soybean, which may be valuable in paving the way for future GmGRAS gene studies and soybean breeding.

Indexed as

Genome-Wide Association StudyMultigene FamilyEvolution, MolecularGenes, PlantGlycine maxPlant ProteinsTranscription FactorsPlant ProteinsTranscription FactorsEvolutionary analysesExpression patternsGenome-wideGRASSaline and dehydration stressesSeed germinationSoybean

Identifiers

PMID32891114
PMCPMC7487615
OpenAlexW3083305628

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LicenceCC BY
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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.