Evidence map›Paper›PMID 30545288›Full record

ArticleBMC plant biology2018

Global Methylome and gene expression analysis during early Peanut pod development.

Pengfei Wang, Suhua Shi, Junjie Ma, Hui Song, Ye Zhang, Chao Gao, Chuanzhi Zhao, Shuzhen Zhao, Lei Hou, Javier Lopez-Baltazar and 3 more

Open access · goldAbstract read
In one paragraph

Article in BMC plant biology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
2.4field-weighted citation impact, top 10% 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

12 citing papers in PubMed, 24 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

13 authors at 5 institutions in 3 countries.

Pengfei WangBiotechnology Research Center, Shandong Academy of Agricultural Sciences; Shandong Provincial Key Laboratory of Crop Genetic Improvement, Ecology and Physiology, Jinan, 250100, People's Republic of China.
Suhua ShiLife Science College of Shandong Normal University, Jinan, 250014, People's Republic of China.
Junjie MaLife Science College of Shandong University, Jinan, 250100, People's Republic of China.
Hui SongBiotechnology Research Center, Shandong Academy of Agricultural Sciences; Shandong Provincial Key Laboratory of Crop Genetic Improvement, Ecology and Physiology, Jinan, 250100, People's Republic of China.
Ye ZhangBiotechnology Research Center, Shandong Academy of Agricultural Sciences; Shandong Provincial Key Laboratory of Crop Genetic Improvement, Ecology and Physiology, Jinan, 250100, People's Republic of China.
Chao GaoBiotechnology Research Center, Shandong Academy of Agricultural Sciences; Shandong Provincial Key Laboratory of Crop Genetic Improvement, Ecology and Physiology, Jinan, 250100, People's Republic of China.
Chuanzhi ZhaoBiotechnology Research Center, Shandong Academy of Agricultural Sciences; Shandong Provincial Key Laboratory of Crop Genetic Improvement, Ecology and Physiology, Jinan, 250100, People's Republic of China.
Shuzhen ZhaoBiotechnology Research Center, Shandong Academy of Agricultural Sciences; Shandong Provincial Key Laboratory of Crop Genetic Improvement, Ecology and Physiology, Jinan, 250100, People's Republic of China.
Lei HouBiotechnology Research Center, Shandong Academy of Agricultural Sciences; Shandong Provincial Key Laboratory of Crop Genetic Improvement, Ecology and Physiology, Jinan, 250100, People's Republic of China.
Javier Lopez-BaltazarInstituto Tecnologico del Valle de Oaxaca, 68000, Oaxaca, Mexico.
Shoujin FanLife Science College of Shandong Normal University, Jinan, 250014, People's Republic of China.
Han XiaBiotechnology Research Center, Shandong Academy of Agricultural Sciences; Shandong Provincial Key Laboratory of Crop Genetic Improvement, Ecology and Physiology, Jinan, 250100, People's Republic of China. coldxia@126.com.
Xingjun WangBiotechnology Research Center, Shandong Academy of Agricultural Sciences; Shandong Provincial Key Laboratory of Crop Genetic Improvement, Ecology and Physiology, Jinan, 250100, People's Republic of China. xingjunw@hotmail.com.
Shandong Normal University · CNShandong University · CNBiotechnology Research Center · IRShandong Academy of Agricultural Sciences · CNInstituto Tecnológico de Oaxaca · MX

Funding

Agricultural scientific and technological innovation project of Shandong Academy of Agricultural Sciences CXGC2018E17National Natural Science Foundation of China 31500217, 31500257, 31471526Shandong provincial crop elite variety development project 2016LZGC025
6 · The paper itself

Abstract

backgroundEarly peanut pod development is an important process of peanut reproductive development. Modes of DNA methylation during early peanut pod development are still unclear, possibly because its allotetraploid genome may cause difficulty for the methylome analysis.

resultsTo investigate the functions of the dynamic DNA methylation during the early development of the peanut pod, global methylome and gene expression analyses were carried out by Illumina high throughput sequencing. A novel mapping strategy of reads was developed and used for methylome and gene expression analysis. Differentially methylated genes, such as nodulin, cell number regulator-like protein, and senescence-associated genes, were identified during the early developmental stages of the peanut pod. The expression levels of gibberellin-related genes changed during this period of pod development. From the stage one (S1) gynophore to the stage two (S2) gynophore, the expression levels of two key methyltransferase genes, DRM2 and MET1, were up-regulated, which may lead to global DNA methylation changes between these two stages. The differentially methylated and expressed genes identified in the S1, S2, and stage 3 (S3) gynophore are involved in different biological processes such as stem cell fate determination, response to red, blue, and UV light, post-embryonic morphogenesis, and auxin biosynthesis. The expression levels of many genes were co-related by their DNA methylation levels. In addition, our results showed that the abundance of some 24-nucleotide siRNAs and miRNAs were positively associated with DNA methylation levels of their target loci in peanut pods.

conclusionA novel mapping strategy of reads was described and verified in this study. Our results suggest that the methylated modes of the S1, S2, and S3 gynophore are different. The methylation changes that were identified during early peanut pod development provide useful information for understanding the roles of epigenetic regulation in peanut pod development.

Indexed as

ArachisChromosome MappingDNA MethylationDNA, PlantFlowersGene Expression ProfilingGene Expression Regulation, DevelopmentalGene Expression Regulation, PlantGenes, PlantHigh-Throughput Nucleotide SequencingMicroRNAsRNA, Small InterferingDNA, PlantMicroRNAsRNA, Small InterferingGynophoreMethylomePeanutPod developmentSmall RNA

Identifiers

PMID30545288
PMCPMC6293580
OpenAlexW2905130827

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.