Evidence map›Paper›PMID 38177998›Full record

ArticleBMC genomics2024

Genome-wide identification and analysis of the GGCT gene family in wheat.

Long Zhang, Wanting Sun, Weidong Gao, Yanyan Zhang, Peipei Zhang, Yuan Liu, Tao Chen, Delong Yang

Open access · goldAbstract read
In one paragraph

Article in BMC genomics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
2.3field-weighted citation impact, top 12% 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

5 citing papers in PubMed, 10 citations in OpenAlex.

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  5. Genome-Wide Analysis and Expression Profiling of SoybeanInternational 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

8 authors at 1 institution in 1 country.

Long ZhangState Key Laboratory of Aridland Crop Science, Lanzhou, Gansu, 730070, China.
Wanting SunCollege of Life Science and Technology, Gansu Agricultural University, Lanzhou, Gansu, 730070, China.
Weidong GaoState Key Laboratory of Aridland Crop Science, Lanzhou, Gansu, 730070, China.
Yanyan ZhangState Key Laboratory of Aridland Crop Science, Lanzhou, Gansu, 730070, China.
Peipei ZhangState Key Laboratory of Aridland Crop Science, Lanzhou, Gansu, 730070, China.
Yuan LiuCollege of Life Science and Technology, Gansu Agricultural University, Lanzhou, Gansu, 730070, China.
Tao ChenState Key Laboratory of Aridland Crop Science, Lanzhou, Gansu, 730070, China. chent@gsau.edu.cn.
Delong YangState Key Laboratory of Aridland Crop Science, Lanzhou, Gansu, 730070, China. yangdl@gsau.edu.cn.
Gansu Agricultural University · CN

Funding

Development Fund Project of National Guiding Local Science and Technology 23ZYQA0322Industrial Support Plan of Colleges and Universities in Gansu Province 2022CYZC-44Key Research and Development Program of Gansu Province, China 21YF5NA089National Natural Science Foundation of China 32260520Young Scholars Science Foundation of Gansu Agricultural University GAU-KYQD-2020-6
6 · The paper itself

Abstract

backgroundγ-glutamylcyclotransferase (GGCT), an enzyme to maintain glutathione homeostasis, plays a vital role in the response to plant growth and development as well as the adaptation to various stresses. Although the GGCT gene family analysis has been conducted in Arabidopsis and rice, the family genes have not yet been well identified and analyzed at the genome-wide level in wheat (Triticum aestivum L.).

resultsIn the present study, 20 TaGGCT genes were identified in the wheat genome and widely distributed on chromosomes 2A, 2B, 2D, 3A, 4A, 5A, 5B, 5D, 6A, 6B, 6D, 7A, 7B, and 7D. Phylogenetic and structural analyses showed that these TaGGCT genes could be classified into three subfamilies: ChaC, GGGACT, and GGCT-PS. They exhibited similar motif compositions and distribution patterns in the same subgroup. Gene duplication analysis suggested that the expansion of TaGGCT family genes was facilitated by segmental duplications and tandem repeats in the wheat evolutionary events. Identification of diverse cis-acting response elements in TaGGCT promoters indicated their potential fundamental roles in response to plant development and abiotic stresses. The analysis of transcriptome data combined with RT-qPCR results revealed that the TaGGCTs genes exhibited ubiquitous expression across plant organs, with highly expressed in roots, stems, and developing grains. Most TaGGCT genes were up-regulated after 6 h under 20% PEG6000 and ABA treatments. Association analysis revealed that two haplotypes of TaGGCT20 gene displayed significantly different Thousand-kernel weight (TKW), Kernel length (KL), and Kernel width (KW) in wheat. The geographical and annual distribution of the two haplotypes of TaGGCT20 gene further revealed that the frequency of the favorable haplotype TaGGCT20-Hap-I was positively selected in the historical breeding process of wheat.

conclusionThis study investigated the genome-wide identification, structure, evolution, and expression analysis of TaGGCT genes in wheat. The motifs of TaGGCTs were highly conserved throughout the evolutionary history of wheat. Most TaGGCT genes were highly expressed in roots, stems, and developing grains, and involved in the response to drought stresses. Two haplotypes were developed in the TaGGCT20 gene, where TaGGCT20-Hap-I, as a favorable haplotype, was significantly associated with higher TKW, KL, and KW in wheat, suggesting that the haplotype is used as a function marker for the selection in grain yield in wheat breeding.

Indexed as

gamma-GlutamylcyclotransferaseTriticumGene Expression Regulation, PlantGenome, PlantPhylogenyPlant BreedingPlant ProteinsPromoter Regions, Geneticgamma-GlutamylcyclotransferasePlant ProteinsExpression patternGenome-wide identificationGGCT gene familyHaplotype analysisWheat

Identifiers

PMID38177998
PMCPMC10768367
OpenAlexW4390589105

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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.