Evidence map›Paper›PMID 39040511›Full record

ArticleFrontiers in plant science2024

Integrated examination of the transcriptome and metabolome of the gene expression response and metabolite accumulation in soybean seeds for seed storability under aging stress.

Guang Li, Jianguo Xie, Wei Zhang, Fanfan Meng, Mingliang Yang, Xuhong Fan, Xingmiao Sun, Yuhong Zheng, Yunfeng Zhang, Mingliang Wang and 3 more

Abstract read
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Article in Frontiers in plant science, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
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

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3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

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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

13 authors.

Guang Li *Jilin Academy of Agricultural Sciences (China Agricultural Science and Technology Northeast Innovation Center), Soybean Research Institute, Changchun, China.
Jianguo Xie *Jilin Academy of Agricultural Sciences (China Agricultural Science and Technology Northeast Innovation Center), Soybean Research Institute, Changchun, China.
Wei ZhangJilin Academy of Agricultural Sciences (China Agricultural Science and Technology Northeast Innovation Center), Soybean Research Institute, Changchun, China.
Fanfan MengJilin Academy of Agricultural Sciences (China Agricultural Science and Technology Northeast Innovation Center), Soybean Research Institute, Changchun, China.
Mingliang YangNortheast Agricultural University, Harbin, Heilongjiang, China.
Xuhong FanJilin Academy of Agricultural Sciences (China Agricultural Science and Technology Northeast Innovation Center), Soybean Research Institute, Changchun, China.
Xingmiao SunJilin Academy of Agricultural Sciences (China Agricultural Science and Technology Northeast Innovation Center), Soybean Research Institute, Changchun, China.
Yuhong ZhengJilin Academy of Agricultural Sciences (China Agricultural Science and Technology Northeast Innovation Center), Soybean Research Institute, Changchun, China.
Yunfeng ZhangJilin Academy of Agricultural Sciences (China Agricultural Science and Technology Northeast Innovation Center), Soybean Research Institute, Changchun, China.
Mingliang WangJilin Academy of Agricultural Sciences (China Agricultural Science and Technology Northeast Innovation Center), Soybean Research Institute, Changchun, China.
Qingshan ChenNortheast Agricultural University, Harbin, Heilongjiang, China.
Shuming WangJilin Academy of Agricultural Sciences (China Agricultural Science and Technology Northeast Innovation Center), Soybean Research Institute, Changchun, China.
Hongwei JiangJilin Academy of Agricultural Sciences (China Agricultural Science and Technology Northeast Innovation Center), Soybean Research Institute, Changchun, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Soybean quality and production are determined by seed viability. A seed's capacity to sustain germination via dry storage is known as its seed life. Thus, one of the main objectives for breeders is to preserve genetic variety and gather germplasm resources. However, seed quality and germplasm preservation have become significant obstacles. In this study, four artificially simulated aging treatment groups were set for 0, 24, 72, and 120 hours. Following an aging stress treatment, the transcriptome and metabolome data were compared in two soybean lines with notable differences in seed vigor-R31 (aging sensitive) and R80 (aging tolerant). The results showed that 83 (38 upregulated and 45 downregulated), 30 (19 upregulated and 11 downregulated), 90 (52 upregulated and 38 downregulated), and 54 (25 upregulated and 29 downregulated) DEGs were differentially expressed, respectively. A total of 62 (29 upregulated and 33 downregulated), 94 (49 upregulated and 45 downregulated), 91 (53 upregulated and 38 downregulated), and 135 (111 upregulated and 24 downregulated) differential metabolites accumulated. Combining the results of transcriptome and metabolome investigations demonstrated that the difference between R31 and R80 responses to aging stress was caused by genes related to phenylpropanoid metabolism pathway, which is linked to the seed metabolite caffeic acid. According to this study's preliminary findings, the aging-resistant line accumulated more caffeic acid than the aging-sensitive line, which improved its capacity to block lipoxygenase (LOX) activity. An enzyme activity inhibition test was used to demonstrate the effect of caffeic acid. After soaking seeds in 1 mM caffeic acid (a LOX inhibitor) for 6 hours and artificially aging them for 24 hours, the germination rates of the R31 and R80 seeds were enhanced. In conclusion, caffeic acid has been shown to partially mitigate the negative effects of soybean seed aging stress and to improve seed vitality. This finding should serve as a theoretical foundation for future research on the aging mechanism of soybean seeds.

Indexed as

agingcaffeic acidmetabolomicsoybeantranscriptome

Identifiers

PMID39040511
PMCPMC11261460

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