Evidence map›Paper›PMID 31910887›Full record

ArticleBMC research notes2020

DNA methylation and expression analyses reveal epialleles for the foliar disease resistance genes in peanut (Arachis hypogaea L.).

R S Bhat, J Rockey, Kenta Shirasawa, I S Tilak, M P Brijesh Patil, V B Reddy Lachagari

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Article in BMC research notes, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.9field-weighted citation impact, top 14% of its field
1 · What the graph read from it

What it found

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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

5 citing papers in PubMed, 18 citations in OpenAlex.

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  4. Whole-Genome DNA Methylation Analysis of Inoculation withJournal of fungi (Basel, Switzerland) · 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

6 authors at 3 institutions in 2 countries.

R S BhatDepartment of Biotechnology, University of Agricultural Sciences, Dharwad, 580 005, India. bhatrs@uasd.in.ORCID http://orcid.org/0000-0002-1120-7088
J RockeyAgriGenome Labs Pvt. Ltd., Kochi, Kerala, 682 042, India.
Kenta ShirasawaDepartment of Frontier Research, Kazusa DNA Research Institute, Chiba, 292-0818, Japan.
I S TilakDepartment of Biotechnology, University of Agricultural Sciences, Dharwad, 580 005, India.
M P Brijesh PatilDepartment of Biotechnology, University of Agricultural Sciences, Dharwad, 580 005, India.
V B Reddy LachagariAgriGenome Labs Pvt. Ltd., Hyderabad, Telangana, 500 078, India.
University of Agricultural Sciences, Dharwad · INSciGenom Labs (India) · INKazusa DNA Research Institute · JP

Funding

Department of Science and Technology-Japan Society for the Promotion of Science (DST-JSPS) DST/INT/JSPS/P-227/2016Rashtriya Krishi Vikas Yojana (RKVY) 2017-18
6 · The paper itself

Abstract

objectiveLow DNA sequence polymorphism despite enormous phenotypic variations in peanut indicates the possible role of epigenetic variations. An attempt was made to analyze genome-wide DNA methylation pattern and its influence on gene expression across 11 diverse genotypes of peanut.

resultsThe genotypes were subjected to bisulfite sequencing after 21 days of sowing (DAS). CHG regions showed the highest (30,537,376) DNA methylation followed by CpG (30,356,066) and CHH (15,993,361) across 11 genotypes. The B sub-genome exhibited higher DNA methylation sites (46,294,063) than the A sub-genome (30,415,166). Overall, the DNA methylation was more frequent in inter-genic regions than in the genic regions. The genes showing altered methylation and expression between the parent (TMV 2) and its EMS-derived mutant (TMV 2-NLM) were identified. Foliar disease resistant genotypes showed significant differential DNA methylation at 766 sites corresponding to 25 genes. Of them, two genes (Arahy.1XYC2X on chromosome 01 and Arahy.00Z2SH on chromosome 17) coding for senescence-associated protein showed differential expression with resistant genotypes recording higher fragments per kilobase of transcript per million mapped reads (FPKM) at their epialleles. Overall, the study indicated the variation in the DNA methylation pattern among the diverse genotypes of peanut and its influence of gene expression.

Indexed as

AllelesGene Expression Regulation, PlantArachisDisease ResistanceDNA MethylationPlant DiseasesDifferentially methylated genesDNA methylomeExpression levels of methylated genesGenotypes differing for foliar disease responsePeanutTranscriptome

Identifiers

PMID31910887
PMCPMC6947992
OpenAlexW3002672727

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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.