Evidence map›Paper›PMID 31664908›Full record

ArticleBMC genomics2019

Characterization of genome-wide variations induced by gamma-ray radiation in barley using RNA-Seq.

Cong Tan, Xiao-Qi Zhang, Yin Wang, Dianxin Wu, Matthew I Bellgard, Yanhao Xu, Xiaoli Shu, Gaofeng Zhou, Chengdao Li

Open access · goldAbstract read
In one paragraph

Article in BMC genomics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
1.5field-weighted citation impact, top 13% 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

11 citing papers in PubMed, 14 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

9 authors at 5 institutions in 2 countries.

Cong TanWestern Barley Genetics Alliance, College of Science, Health, Engineering and Education, Murdoch University, Murdoch, WA, 6150, Australia.
Xiao-Qi ZhangWestern Barley Genetics Alliance, College of Science, Health, Engineering and Education, Murdoch University, Murdoch, WA, 6150, Australia.
Yin WangIAEA Collaborating Center, State Key Laboratory of Rice Biology, Zhejiang University, Hangzhou, 310029, China.
Dianxin WuIAEA Collaborating Center, State Key Laboratory of Rice Biology, Zhejiang University, Hangzhou, 310029, China.
Matthew I BellgardeResearch Office, Queensland University of Technology, Brisbane, 4000, Australia.
Yanhao XuHubei Collaborative Innovation Center for Grain Industry, Yangtze University, Jingzhou, 434023, Hubei, China.
Xiaoli ShueResearch Office, Queensland University of Technology, Brisbane, 4000, Australia.
Gaofeng ZhouWestern Barley Genetics Alliance, College of Science, Health, Engineering and Education, Murdoch University, Murdoch, WA, 6150, Australia.
Chengdao LiWestern Barley Genetics Alliance, College of Science, Health, Engineering and Education, Murdoch University, Murdoch, WA, 6150, Australia. C.Li@murdoch.edu.au.
Murdoch University · AUQueensland University of Technology · AUState Key Laboratory of Rice BiologyYangtze University · CNZhejiang University · CN

Funding

Australian Grain Research and Development Corporation UMU00050
6 · The paper itself

Abstract

backgroundArtificial mutagenesis not only provides a new approach to increase the diversity of desirable traits for breeding new varieties but are also beneficial for characterizing the genetic basis of functional genes. In recent decades, many mutation genes have been identified which are responsible for phenotype changes in mutants in various species including Arabidopsis and rice. However, the mutation feature in induced mutants and the underlying mechanisms of various types of artificial mutagenesis remain unclear.

resultsIn this study, we adopted a transcriptome sequencing strategy to characterize mutations in coding regions in a barley dwarf mutant induced by gamma-ray radiation. We detected 1193 genetic mutations in gene transcription regions introduced by gamma-ray radiation. Interestingly, up to 97% of the gamma irradiation mutations were concentrated in certain regions in chromosome 5H and chromosome 7H. Of the 26,745 expressed genes, 140 were affected by gamma-ray radiation; their biological functions included cellular and metabolic processes.

conclusionOur results indicate that mutations induced by gamma-ray radiation are not evenly distributed across the whole genome but located in several concentrated regions. Our study provides an overview of the feature of genetic mutations and the genes affected by gamma-ray radiation, which should contribute to a deeper understanding of the mechanisms of radiation mutation and their application in gene function analysis.

Indexed as

Gamma RaysMutagenesisMutationGenes, PlantGenome, PlantHordeumINDEL MutationPolymorphism, Single NucleotideRNA-SeqArtificial mutagenesisDwarf mutantGamma-ray radiationMutation patternRNA-SeqSingle nucleic polymorphism

Identifiers

PMID31664908
PMCPMC6819550
OpenAlexW2982631697

What OpenQuestion holds

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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.