Evidence map›Paper›PMID 37528349›Full record

ArticleBMC plant biology2023

Evaluation of altered starch mutants and identification of candidate genes responsible for starch variation in wheat.

Ahsan Irshad, Huijun Guo, Hongchun Xiong, Yongdun Xie, Hua Jin, Jiayu Gu, Chaojie Wang, Liqun Yu, Xianghui Wen, Shirong Zhao and 1 more

Open access · goldAbstract read
In one paragraph

Article in BMC plant biology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.8field-weighted citation impact, top 18% 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

3 citing papers in PubMed, 2 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

11 authors at 2 institutions in 1 country.

Ahsan Irshad *Institute of Crop Sciences, National Engineering Laboratory of Crop Molecular Breeding, Chinese Academy of Agricultural Sciences, National Centre of Space Mutagenesis for Crop Improvement, Beijing, 100081, China.
Huijun Guo *Institute of Crop Sciences, National Engineering Laboratory of Crop Molecular Breeding, Chinese Academy of Agricultural Sciences, National Centre of Space Mutagenesis for Crop Improvement, Beijing, 100081, China.
Hongchun XiongInstitute of Crop Sciences, National Engineering Laboratory of Crop Molecular Breeding, Chinese Academy of Agricultural Sciences, National Centre of Space Mutagenesis for Crop Improvement, Beijing, 100081, China.
Yongdun XieInstitute of Crop Sciences, National Engineering Laboratory of Crop Molecular Breeding, Chinese Academy of Agricultural Sciences, National Centre of Space Mutagenesis for Crop Improvement, Beijing, 100081, China.
Hua JinKey Laboratory of Molecular Medicine and Biotherapy, School of Life Sciences, Beijing Institute of Technology, Beijing, 100081, China.
Jiayu GuInstitute of Crop Sciences, National Engineering Laboratory of Crop Molecular Breeding, Chinese Academy of Agricultural Sciences, National Centre of Space Mutagenesis for Crop Improvement, Beijing, 100081, China.
Chaojie WangInstitute of Crop Sciences, National Engineering Laboratory of Crop Molecular Breeding, Chinese Academy of Agricultural Sciences, National Centre of Space Mutagenesis for Crop Improvement, Beijing, 100081, China.
Liqun YuKey Laboratory of Molecular Medicine and Biotherapy, School of Life Sciences, Beijing Institute of Technology, Beijing, 100081, China.
Xianghui WenKey Laboratory of Molecular Medicine and Biotherapy, School of Life Sciences, Beijing Institute of Technology, Beijing, 100081, China.
Shirong ZhaoInstitute of Crop Sciences, National Engineering Laboratory of Crop Molecular Breeding, Chinese Academy of Agricultural Sciences, National Centre of Space Mutagenesis for Crop Improvement, Beijing, 100081, China.
Luxiang LiuInstitute of Crop Sciences, National Engineering Laboratory of Crop Molecular Breeding, Chinese Academy of Agricultural Sciences, National Centre of Space Mutagenesis for Crop Improvement, Beijing, 100081, China. liuluxiang@caas.cn.
Chinese Academy of Agricultural Sciences · CNBeijing Institute of Technology · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundInduction of mutation through chemical mutagenesis is a novel approach for preparing diverse germplasm. Introduction of functional alleles in the starch biosynthetic genes help in the improvement of the quality and yield of cereals.

resultsIn the present study, a set of 350 stable mutant lines were used to evaluate dynamic variation of the total starch contents. A megazyme kits were used for measuring the total starch content, resistant starch, amylose, and amylopectin content. Analysis of variance showed significant variation (p < 0.05) in starch content within the population. Furthermore, two high starch mutants (JE0173 and JE0218) and two low starch mutants (JE0089 and JE0418) were selected for studying different traits. A multiple comparison test showed that significant variation in all physiological and morphological traits, with respect to the parent variety (J411) in 2019-2020 and 2020-2021. The quantitative expression of starch metabolic genes revealed that eleven genes of JE0173 and twelve genes of JE0218 had consistent expression in high starch mutant lines. Similarly, in low starch mutant lines, eleven genes of JE0089 and thirteen genes of JE0418 had consistent expression in all stages of seed development. An additional two candidate genes showed over-expression (PHO1, PUL) in the high starch mutant lines, indicating that other starch metabolic genes may also contribute to the starch biosynthesis. The overexpression of SSII, SSIII and SBEI in JE0173 may be due to presence of missense mutations in these genes and SSI also showed overexpression which may be due to 3-primer_UTR variant. These mutations can affect the other starch related genes and help to increase the starch content in this mutant line (JE0173).

conclusionsThis study screened a large scale of mutant population and identified mutants, could provide useful genetic resources for the study of starch biosynthesis and genetic improvement of wheat in the future. Further study will help to understand new genes which are responsible for the fluctuation of total starch.

Indexed as

StarchTriticumAmylopectinAmylosePlant ProteinsAmylopectinAmylosePlant ProteinsStarchFunctional genesMutationQuality traitsStarchWheat

Identifiers

PMID37528349
PMCPMC10391901
OpenAlexW4385458409

What OpenQuestion holds

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LicenceCC BY
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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.