Evidence map›Paper›PMID 37641045›Full record

ArticleBMC genomics2023

WGCNA and transcriptome profiling reveal hub genes for key development stage seed size/oil content between wild and cultivated soybean.

Yanjie Yao, Erhui Xiong, Xuelian Qu, Junfeng Li, Hongli Liu, Leipo Quan, Wenyan Lu, Xuling Zhu, Meiling Chen, Ke Li and 7 more

Open access · goldAbstract read
In one paragraph

Article in BMC genomics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 1 pooled it
13.5field-weighted citation impact, top 1% 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

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3 · Its place in the literature

Who cites it

20 citing papers in PubMed, 1 synthesis or guideline pooled it, 34 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

17 authors at 5 institutions in 1 country.

Yanjie Yao *Collaborative Innovation Center of Henan Grain Crops, College of Agronomy, Henan Agricultural University, Zhengzhou, 450046, China.
Erhui Xiong *Collaborative Innovation Center of Henan Grain Crops, College of Agronomy, Henan Agricultural University, Zhengzhou, 450046, China. xiongerhui@henau.edu.cn.
Xuelian QuCollaborative Innovation Center of Henan Grain Crops, College of Agronomy, Henan Agricultural University, Zhengzhou, 450046, China.
Junfeng LiCollaborative Innovation Center of Henan Grain Crops, College of Agronomy, Henan Agricultural University, Zhengzhou, 450046, China.
Hongli LiuCollaborative Innovation Center of Henan Grain Crops, College of Agronomy, Henan Agricultural University, Zhengzhou, 450046, China.
Leipo QuanCollaborative Innovation Center of Henan Grain Crops, College of Agronomy, Henan Agricultural University, Zhengzhou, 450046, China.
Wenyan LuCollaborative Innovation Center of Henan Grain Crops, College of Agronomy, Henan Agricultural University, Zhengzhou, 450046, China.
Xuling ZhuCollaborative Innovation Center of Henan Grain Crops, College of Agronomy, Henan Agricultural University, Zhengzhou, 450046, China.
Meiling ChenCollaborative Innovation Center of Henan Grain Crops, College of Agronomy, Henan Agricultural University, Zhengzhou, 450046, China.
Ke LiCollaborative Innovation Center of Henan Grain Crops, College of Agronomy, Henan Agricultural University, Zhengzhou, 450046, China.
Xiaoming ChenCollaborative Innovation Center of Henan Grain Crops, College of Agronomy, Henan Agricultural University, Zhengzhou, 450046, China.
Yun LianZhengzhou Subcenter of National Soybean Improvement Center, Key Laboratory of Oil Crops in Huang-Huai Valleys of Ministry of Agriculture, Institute of Industrial Crops, Henan Academy of Agricultural Sciences, Zhengzhou, China.
Weiguo LuZhengzhou Subcenter of National Soybean Improvement Center, Key Laboratory of Oil Crops in Huang-Huai Valleys of Ministry of Agriculture, Institute of Industrial Crops, Henan Academy of Agricultural Sciences, Zhengzhou, China.
Dan ZhangCollaborative Innovation Center of Henan Grain Crops, College of Agronomy, Henan Agricultural University, Zhengzhou, 450046, China.
Xinan ZhouKey Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture and Rural Affairs, Oil Crops Research Institute of Chinese Academy of Agricultural Sciences, Wuhan, 430062, China. zhouxinan@caas.cn.
Shanshan ChuCollaborative Innovation Center of Henan Grain Crops, College of Agronomy, Henan Agricultural University, Zhengzhou, 450046, China. chushan3@163.com.
Yongqing JiaoCollaborative Innovation Center of Henan Grain Crops, College of Agronomy, Henan Agricultural University, Zhengzhou, 450046, China. jiaoyongqing@henau.edu.cn.
Henan Agricultural University · CNHenan Academy of Agricultural Sciences · CNChinese Academy of Agricultural Sciences · CNMinistry of Agriculture and Rural Affairs · CNOil Crops Research Institute · CN

Funding

Henan Agricultural University 30500689, 30501240Joint Fund for Science and Technology Research and Development Plan of Henan 222301420028, 222102110106National Natural Science Foundation of China 31971971, 32172418 and 31901895the Open Project of Key Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture and Rural Affairs, P.R. China KF2019002
6 · The paper itself

Abstract

backgroundSoybean is one of the most important oil crops in the world. The domestication of wild soybean has resulted in significant changes in the seed oil content and seed size of cultivated soybeans. To better understand the molecular mechanisms of seed formation and oil content accumulation, WDD01514 (E1), ZYD00463 (E2), and two extreme progenies (E23 and E171) derived from RILs were used for weighted gene coexpression network analysis (WGCNA) combined with transcriptome analysis.

resultsIn this study, both seed weight and oil content in E1 and E171 were significantly higher than those in E2 and E23, and 20 DAF and 30 DAF may be key stages of soybean seed oil content accumulation and weight increase. Pathways such as "Photosynthesis", "Carbon metabolism", and "Fatty acid metabolism", were involved in oil content accumulation and grain formation between wild and cultivated soybeans at 20 and 30 DAF according to RNA-seq analysis. A total of 121 oil content accumulation and 189 seed formation candidate genes were screened from differentially expressed genes. WGCNA identified six modules related to seed oil content and seed weight, and 76 candidate genes were screened from modules and network. Among them, 16 genes were used for qRT-PCR and tissue specific expression pattern analysis, and their expression-levels in 33-wild and 23-cultivated soybean varieties were subjected to correlation analysis; some key genes were verified as likely to be involved in oil content accumulation and grain formation.

conclusionsOverall, these results contribute to an understanding of seed lipid metabolism and seed size during seed development, and identify potential functional genes for improving soybean yield and seed oil quantity.

Indexed as

FabaceaeGlycine maxEdible GrainGene Expression ProfilingPlant OilsSeedsPlant OilsCorrelation analysisOil contentSeed sizeSoybeanTranscriptomeWGCNA

Identifiers

PMID37641045
PMCPMC10463976
OpenAlexW4386219773

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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.