Evidence map›Paper›PMID 30208846›Full record

ArticleBMC genomics2018

Genomic, expressional, protein-protein interactional analysis of Trihelix transcription factor genes in Setaria italia and inference of their evolutionary trajectory.

Zhenyi Wang, Kanglu Zhao, Yuxin Pan, Jinpeng Wang, Xiaoming Song, Weina Ge, Min Yuan, Tianyu Lei, Li Wang, Lan Zhang and 8 more

Open access · goldAbstract read
In one paragraph

Article in BMC genomics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
6.1field-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

8 citing papers in PubMed, 39 citations in OpenAlex.

  1. ASR gene family: a case of tandem-drive evolution.Frontiers in molecular biosciences · 2025
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  5. Multi-omics intervention inFrontiers in plant science · 2022
    Review
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  8. 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

18 authors at 1 institution in 1 country.

Zhenyi WangCollege of Life Sciences, North China University of Science and Technology, Caofeidian Dist, Tangshan, 063210, Hebei, China. zhenyiwang0301@163.com.
Kanglu ZhaoCollege of Life Sciences, North China University of Science and Technology, Caofeidian Dist, Tangshan, 063210, Hebei, China.
Yuxin PanCollege of Life Sciences, North China University of Science and Technology, Caofeidian Dist, Tangshan, 063210, Hebei, China.
Jinpeng WangCollege of Life Sciences, North China University of Science and Technology, Caofeidian Dist, Tangshan, 063210, Hebei, China.
Xiaoming SongCollege of Life Sciences, North China University of Science and Technology, Caofeidian Dist, Tangshan, 063210, Hebei, China.
Weina GeCollege of Life Sciences, North China University of Science and Technology, Caofeidian Dist, Tangshan, 063210, Hebei, China.
Min YuanCollege of Life Sciences, North China University of Science and Technology, Caofeidian Dist, Tangshan, 063210, Hebei, China.
Tianyu LeiCollege of Life Sciences, North China University of Science and Technology, Caofeidian Dist, Tangshan, 063210, Hebei, China.
Li WangCollege of Life Sciences, North China University of Science and Technology, Caofeidian Dist, Tangshan, 063210, Hebei, China.
Lan ZhangCollege of Life Sciences, North China University of Science and Technology, Caofeidian Dist, Tangshan, 063210, Hebei, China.
Yuxian LiCollege of Life Sciences, North China University of Science and Technology, Caofeidian Dist, Tangshan, 063210, Hebei, China.
Tao LiuCenter for Genomics and Computational Biology, North China University of Science and Technology, Caofeidian Dist, Tangshan, 063210, Hebei, China.
Wei ChenCenter for Genomics and Computational Biology, North China University of Science and Technology, Caofeidian Dist, Tangshan, 063210, Hebei, China.
Wenjing MengCollege of Life Sciences, North China University of Science and Technology, Caofeidian Dist, Tangshan, 063210, Hebei, China.
Changkai SunCollege of Life Sciences, North China University of Science and Technology, Caofeidian Dist, Tangshan, 063210, Hebei, China.
Xiaobo CuiCollege of Life Sciences, North China University of Science and Technology, Caofeidian Dist, Tangshan, 063210, Hebei, China.
Yun BaiCollege of Life Sciences, North China University of Science and Technology, Caofeidian Dist, Tangshan, 063210, Hebei, China.
Xiyin WangCollege of Life Sciences, North China University of Science and Technology, Caofeidian Dist, Tangshan, 063210, Hebei, China. wangxiyin@vip.sina.com.
North China University of Science and Technology · CN

Funding

China-Hebei 100 Scholars Supporting Project E2013100003National Natural Science Foundation of China 31371282National Natural Science Foundation of China 31501072National Science Foundation of Hebei province C2016209097Undergraduate Training Programs for Innovation and Entrepreneurship of North China University of Science and Technology X2016161Youth Foundation of Educational Committee of Hebei Province QN2017123
6 · The paper itself

Abstract

backgroundTrihelix transcription factors (TTF) play important roles in plant growth and response to adversity stress. Until now, genome-wide identification and analysis of this gene family in foxtail millet has not been available. Here, we identified TTF genes in the foxtail millet and its grass relatives, and characterized their functional domains.

resultsAs to sequence divergence, TTF genes were previously divided into five subfamilies, I-V. We found that Trihelix family members in foxtail millet and other grasses mostly preserved their ancestral chromosomal locations during millions of years' evolution. Six amino acid sites of the SIP1 subfamily possibly were likely subjected to significant positive selection. Highest expression level was observed in the spica, with the SIP1 subfamily having highest expression level. As to the origination and expansion of the gene family, notably we showed that a subgroup of subfamily IV was the oldest, and therefore was separated to define a new subfamily O. Overtime, starting from the subfamily O, certain genes evolved to form subfamilies III and I, and later from subfamily I to develop subfamilies II and V. The oldest gene, Si1g016284, has the most structural changes, and a high expression in different tissues. What's more interesting is that it may have bridge the interaction with different proteins.

conclusionsBy performing phylogenetic analysis using non-plant species, notably we showed that a subgroup of subfamily IV was the oldest, and therefore was separated to define a new subfamily O. Starting from the subfamily O, certain genes evolved to form other subfamilies. Our work will contribute to understanding the structural and functional innovation of Trihelix transcription factor, and the evolutionary trajectory.

Indexed as

Evolution, MolecularGene Expression ProfilingGenomicsProtein Interaction MappingPhylogenyPlant ProteinsSelection, GeneticSequence AlignmentSetaria PlantTranscription FactorsPlant ProteinsTranscription FactorsEvolutionFoxtail milletGrassSelectionTranscription factorTrihelix

Identifiers

PMID30208846
PMCPMC6134603
OpenAlexW2890738958

What OpenQuestion holds

Textmetadata
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.