Evidence map›Paper›PMID 35778525›Full record

ArticleScientific reports2022

Transcriptomic analysis of starch accumulation patterns in different glutinous sorghum seeds.

Fulai Ke, Kuangye Zhang, Zhihua Li, Jiaxu Wang, Fei Zhang, Han Wu, Zhipeng Zhang, Feng Lu, Yanqiu Wang, Youhou Duan and 3 more

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
2.1field-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

4 citing papers in PubMed, 11 citations in OpenAlex.

  1. Article
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  4. HarnessingFrontiers in plant science · 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

13 authors at 1 institution in 1 country.

Fulai Ke *Sorghum Research Institute, Liaoning Academy of Agricultural Sciences, Shenyang, 110161, Liaoning Province, People's Republic of China.
Kuangye Zhang *Sorghum Research Institute, Liaoning Academy of Agricultural Sciences, Shenyang, 110161, Liaoning Province, People's Republic of China.
Zhihua LiSorghum Research Institute, Liaoning Academy of Agricultural Sciences, Shenyang, 110161, Liaoning Province, People's Republic of China.
Jiaxu WangSorghum Research Institute, Liaoning Academy of Agricultural Sciences, Shenyang, 110161, Liaoning Province, People's Republic of China.
Fei ZhangSorghum Research Institute, Liaoning Academy of Agricultural Sciences, Shenyang, 110161, Liaoning Province, People's Republic of China.
Han WuSorghum Research Institute, Liaoning Academy of Agricultural Sciences, Shenyang, 110161, Liaoning Province, People's Republic of China.
Zhipeng ZhangSorghum Research Institute, Liaoning Academy of Agricultural Sciences, Shenyang, 110161, Liaoning Province, People's Republic of China.
Feng LuSorghum Research Institute, Liaoning Academy of Agricultural Sciences, Shenyang, 110161, Liaoning Province, People's Republic of China.
Yanqiu WangSorghum Research Institute, Liaoning Academy of Agricultural Sciences, Shenyang, 110161, Liaoning Province, People's Republic of China.
Youhou DuanSorghum Research Institute, Liaoning Academy of Agricultural Sciences, Shenyang, 110161, Liaoning Province, People's Republic of China.
Zhiqiang LiuSorghum Research Institute, Liaoning Academy of Agricultural Sciences, Shenyang, 110161, Liaoning Province, People's Republic of China.
Jianqiu ZouSorghum Research Institute, Liaoning Academy of Agricultural Sciences, Shenyang, 110161, Liaoning Province, People's Republic of China.
Kai ZhuSorghum Research Institute, Liaoning Academy of Agricultural Sciences, Shenyang, 110161, Liaoning Province, People's Republic of China. zhukai722020@163.com.
Liaoning Academy of Agricultural Sciences · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Sorghum is a high-quality raw material for brewing white wine, and the starch content in seeds has a large impact on brewing quality. Transcriptomic data obtained from a glutinous variety (Liaonian3) and a non-glutinous variety (Liaoza10) at 3, 18, and 30 days after pollination were analyzed to identify genes associated with starch accumulation. The amylopectin content was significantly higher in Liaonian3 compared to Liaoza10, but the amylose content and total starch content were lower. There were 6634 differentially expressed genes found in Liaoza10 between 3 and 18 d after pollination, and 779 differentially expressed genes between 18 and 30 d after pollination. In Liaonian3, there were 6768 differentially expressed genes between 3 and 18 d after pollination, and 7630 differentially expressed genes between 18 and 30 d after pollination. Genes were grouped by expression profiles over the three time points and the profiles were analyzed for enrichment of gene ontology terms and biochemical pathways. Profile 1 (decreasing expression from 3 to 30 d) for Liaoza10 was enriched in ribosomes, metabolic pathways, and carbon metabolic pathways. Profile 0 (decreasing expression from 3 to 18 d and consistent expression from 18 to 30 d) was enriched in pathways related to sugar or starch metabolism. Although the starch accumulation rate in Liaonian3 and Liaoza10 showed a profile of increasing and then decreasing, the expression of genes related to starch synthesis gradually decreased with time since pollination, demonstrating the complexity of starch synthesis. According to orthologous gene alignment and expression analysis, 19 genes such as entrzID_8068390 and entrzID_8066807 were found to be the key genes for starch synthesis and glutinous and non-glutinous differentiation in sorghum grains.

Indexed as

SorghumStarchEdible GrainGene Expression Regulation, PlantSeedsTranscriptomeStarch

Identifiers

PMID35778525
PMCPMC9249802
OpenAlexW4283739164

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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.