Evidence map›Paper›PMID 38735918›Full record

ArticleBMC biology2024

Comparative transcriptomic analysis provides insights into the genetic networks regulating oil differential production in oil crops.

Jinwen Chen, Yan Hu, Ting Zhao, Chujun Huang, Jiani Chen, Lu He, Fan Dai, Shuqi Chen, Luyao Wang, Shangkun Jin and 1 more

Abstract readComparative Study
In one paragraph

Article in BMC biology, 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
–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

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.

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  6. Thaumatin-like GeneInternational journal of molecular sciences · 2025
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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.

Jinwen ChenDepartment of Agronomy, College of Agriculture and Biotechnology, Zhejiang University, Hangzhou, 310029, Zhejiang, China.
Yan HuDepartment of Agronomy, College of Agriculture and Biotechnology, Zhejiang University, Hangzhou, 310029, Zhejiang, China.
Ting ZhaoDepartment of Agronomy, College of Agriculture and Biotechnology, Zhejiang University, Hangzhou, 310029, Zhejiang, China.
Chujun HuangDepartment of Agronomy, College of Agriculture and Biotechnology, Zhejiang University, Hangzhou, 310029, Zhejiang, China.
Jiani ChenDepartment of Agronomy, College of Agriculture and Biotechnology, Zhejiang University, Hangzhou, 310029, Zhejiang, China.
Lu HeHainan Institute of Zhejiang University, Sanya, 572025, Hainan, China.
Fan DaiDepartment of Agronomy, College of Agriculture and Biotechnology, Zhejiang University, Hangzhou, 310029, Zhejiang, China.
Shuqi ChenState Key Laboratory of Crop Genetics and Germplasm Enhancement, College of Agriculture, Nanjing Agricultural University, Nanjing, 210095, Jiangsu, China.
Luyao WangHainan Institute of Zhejiang University, Sanya, 572025, Hainan, China.
Shangkun JinDepartment of Agronomy, College of Agriculture and Biotechnology, Zhejiang University, Hangzhou, 310029, Zhejiang, China.
Tianzhen ZhangDepartment of Agronomy, College of Agriculture and Biotechnology, Zhejiang University, Hangzhou, 310029, Zhejiang, China. cotton@zju.edu.cn.

Funding

Fundamental Research Funds for the Central Universities 226-2022-00100Hainan Yazhou Bay Seed Laboratory project B21HJ0223Leading Innovative and Entrepreneur Team Introduction Program of Zhejiang 2019R01002
6 · The paper itself

Abstract

backgroundPlants differ more than threefold in seed oil contents (SOCs). Soybean (Glycine max), cotton (Gossypium hirsutum), rapeseed (Brassica napus), and sesame (Sesamum indicum) are four important oil crops with markedly different SOCs and fatty acid compositions.

resultsCompared to grain crops like maize and rice, expanded acyl-lipid metabolism genes and relatively higher expression levels of genes involved in seed oil synthesis (SOS) in the oil crops contributed to the oil accumulation in seeds. Here, we conducted comparative transcriptomics on oil crops with two different SOC materials. In common, DIHYDROLIPOAMIDE DEHYDROGENASE, STEAROYL-ACYL CARRIER PROTEIN DESATURASE, PHOSPHOLIPID:DIACYLGLYCEROL ACYLTRANSFERASE, and oil-body protein genes were both differentially expressed between the high- and low-oil materials of each crop. By comparing functional components of SOS networks, we found that the strong correlations between genes in "glycolysis/gluconeogenesis" and "fatty acid synthesis" were conserved in both grain and oil crops, with PYRUVATE KINASE being the common factor affecting starch and lipid accumulation. Network alignment also found a conserved clique among oil crops affecting seed oil accumulation, which has been validated in Arabidopsis. Differently, secondary and protein metabolism affected oil synthesis to different degrees in different crops, and high SOC was due to less competition of the same precursors. The comparison of Arabidopsis mutants and wild type showed that CINNAMYL ALCOHOL DEHYDROGENASE 9, the conserved regulator we identified, was a factor resulting in different relative contents of lignins to oil in seeds. The interconnection of lipids and proteins was common but in different ways among crops, which partly led to differential oil production.

conclusionsThis study goes beyond the observations made in studies of individual species to provide new insights into which genes and networks may be fundamental to seed oil accumulation from a multispecies perspective.

Indexed as

Crops, AgriculturalGene Expression ProfilingGene Regulatory NetworksPlant OilsGene Expression Regulation, PlantSeedsTranscriptomePlant OilsAcyl-lipid metabolismCoexpression networksComparative transcriptomicDifferential expression analysisDifferent speciesNetwork alignmentSeed oil synthesisSeed storage

Identifiers

PMID38735918
PMCPMC11089805

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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.