Evidence map›Paper›PMID 38199453›Full record

ArticleJournal of advanced research2024

Diversity of Gibberellin 2-oxidase genes in the barley genome offers opportunities for genetic improvement.

Jingye Cheng, Yong Jia, Camilla Hill, Tianhua He, Ke Wang, Ganggang Guo, Sergey Shabala, Meixue Zhou, Yong Han, Chengdao Li

Open access · goldAbstract read
In one paragraph

Article in Journal of advanced research, 2024. 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
5.4field-weighted citation impact, top 5% 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, 9 citations in OpenAlex.

  1. A GAPlant communications · 2026
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  8. Over Expression of MangoInternational journal of molecular sciences · 2024
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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

10 authors at 3 institutions in 2 countries.

Jingye ChengTasmanian Institute of Agriculture, University of Tasmania, TAS, Australia; Western Crop Genetics Alliance, Food Futures Institute, School of Agriculture, Murdoch University, WA, Australia; Institute of Crop Science, Chinese Academy of Agricultural Sciences, Beijing, China.
Yong JiaWestern Crop Genetics Alliance, Food Futures Institute, School of Agriculture, Murdoch University, WA, Australia; Agriculture and Food, Department of Primary Industries and Regional Development, South Perth, WA, Australia.
Camilla HillWestern Crop Genetics Alliance, Food Futures Institute, School of Agriculture, Murdoch University, WA, Australia.
Tianhua HeWestern Crop Genetics Alliance, Food Futures Institute, School of Agriculture, Murdoch University, WA, Australia.
Ke WangInstitute of Crop Science, Chinese Academy of Agricultural Sciences, Beijing, China.
Ganggang GuoInstitute of Crop Science, Chinese Academy of Agricultural Sciences, Beijing, China.
Sergey ShabalaTasmanian Institute of Agriculture, University of Tasmania, TAS, Australia.
Meixue ZhouTasmanian Institute of Agriculture, University of Tasmania, TAS, Australia. Electronic address: Meixue.Zhou@utas.edu.au.
Yong HanWestern Crop Genetics Alliance, Food Futures Institute, School of Agriculture, Murdoch University, WA, Australia; Agriculture and Food, Department of Primary Industries and Regional Development, South Perth, WA, Australia. Electronic address: Yong.Han@dpird.wa.gov.au.
Chengdao LiWestern Crop Genetics Alliance, Food Futures Institute, School of Agriculture, Murdoch University, WA, Australia; Agriculture and Food, Department of Primary Industries and Regional Development, South Perth, WA, Australia. Electronic address: c.li@murdoch.edu.au.
Murdoch University · AUUniversity of Tasmania · AUChinese Academy of Agricultural Sciences · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionGibberellin (GA) is a vital phytohormone in regulating plant growth and development. During the "Green Revolution", modification of GA-related genes created semi-dwarfing phenotype in cereal crops but adversely affected grain weight. Gibberellin 2-oxidases (GA2oxs) in barley act as key catabolic enzymes in deactivating GA, but their functions are still less known.

objectivesThis study investigates the physiological function of two HvGA2ox genes in barley and identifies novel semi-dwarf alleles with minimum impacts on other agronomic traits.

methodsVirus-induced gene silencing and CRISPR/Cas9 technology were used to manipulate gene expression of HvGA2ox9 and HvGA2ox8a in barley and RNA-seq was conducted to compare the transcriptome between wild type and mutants. Also, field trials in multiple environments were performed to detect the functional haplotypes.

resultsThere were ten GA2oxs that distinctly expressed in shoot, tiller, inflorescence, grain, embryo and root. Knockdown of HvGA2ox9 did not affect plant height, while ga2ox8a mutants generated by CRISPR/Cas9 increased plant height and significantly altered seed width and weight due to the increased bioactive GA

conclusionOur results demonstrate the potential of manipulating GA2ox genes to fine tune GA signalling and biofunctions in desired plant tissues and open a promising avenue for minimising the trade-off effects of Green Revolution semi-dwarfing genes on grain size and weight. The knowledge will promote the development of next generation barley cultivars with better adaptation to a changing climate.

Indexed as

Gene Expression Regulation, PlantGibberellinsHordeumMixed Function OxygenasesCRISPR-Cas SystemsGenetic VariationGenome, PlantHaplotypesPhenotypePlant Proteinsgibberellin 2-dioxygenaseGibberellinsMixed Function OxygenasesPlant ProteinsBarleyCRISPRGibberellin 2-oxidaseGreen RevolutionHaplotypeVIGS

Identifiers

PMID38199453
PMCPMC11674783
OpenAlexW4390686672

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

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.