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      Population-level analysis reveals the widespread occurrence and phenotypic consequence of DNA methylation variation not tagged by genetic variation in maize

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          Abstract

          Background

          DNA methylation can provide a source of heritable information that is sometimes entirely uncoupled from genetic variation. However, the extent of this uncoupling and the roles of DNA methylation in shaping diversity of both gene expression and phenotypes are hotly debated. Here, we investigate the genetic basis and biological functions of DNA methylation at a population scale in maize.

          Results

          We perform targeted DNA methylation profiling for a diverse panel of 263 maize inbred genotypes. All genotypes show similar levels of DNA methylation globally, highlighting the importance of DNA methylation in maize development. Nevertheless, we identify more than 16,000 differentially methylated regions (DMRs) that are distributed across the 10 maize chromosomes. Genome-wide association analysis with high-density genetic markers reveals that over 60% of the DMRs are not tagged by SNPs, suggesting the presence of unique information in DMRs. Strong associations between DMRs and the expression of many genes are identified in both the leaf and kernel tissues, pointing to the biological significance of methylation variation. Association analysis with 986 metabolic traits suggests that DNA methylation is associated with phenotypic variation of 156 traits. There are some traits that only show significant associations with DMRs and not with SNPs.

          Conclusions

          These results suggest that DNA methylation can provide unique information to explain phenotypic variation in maize.

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          Most cited references38

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          Impact of Genetic Polymorphisms on Human Immune Cell Gene Expression

          While many genetic variants have been associated with risk for human diseases, how these variants affect gene expression in various cell types remains largely unknown. To address this gap, the DICE (Database of Immune Cell Expression, Expression quantitative trait loci (eQTLs) and Epigenomics) project was established. Considering all human immune cell types and conditions studied, we identified cis -eQTLs for a total of 12,254 unique genes, which represent 61% of all protein-coding genes expressed in these cell types. Strikingly, a large fraction (41%) of these genes showed a strong cis -association with genotype only in a single cell type. We also found that biological sex is associated with major differences in immune cell gene expression in a highly cell-specific manner. These datasets will help reveal the effects of disease risk-associated genetic polymorphisms on specific immune cell types, providing mechanistic insights into how they might influence pathogenesis ( http://dice-database.org ). In Brief: Surveying gene expression and SNP genotypes across immune cell types from healthy humans reveals cis-eQTLs affecting over half of all expressed genes and demonstrates that variant effects often manifest in cell types other than those with highest gene expression.
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            Spontaneous epigenetic variation in the Arabidopsis thaliana methylome.

            Heritable epigenetic polymorphisms, such as differential cytosine methylation, can underlie phenotypic variation. Moreover, wild strains of the plant Arabidopsis thaliana differ in many epialleles, and these can influence the expression of nearby genes. However, to understand their role in evolution, it is imperative to ascertain the emergence rate and stability of epialleles, including those that are not due to structural variation. We have compared genome-wide DNA methylation among 10 A. thaliana lines, derived 30 generations ago from a common ancestor. Epimutations at individual positions were easily detected, and close to 30,000 cytosines in each strain were differentially methylated. In contrast, larger regions of contiguous methylation were much more stable, and the frequency of changes was in the same low range as that of DNA mutations. Like individual positions, the same regions were often affected by differential methylation in independent lines, with evidence for recurrent cycles of forward and reverse mutations. Transposable elements and short interfering RNAs have been causally linked to DNA methylation. In agreement, differentially methylated sites were farther from transposable elements and showed less association with short interfering RNA expression than invariant positions. The biased distribution and frequent reversion of epimutations have important implications for the potential contribution of sequence-independent epialleles to plant evolution.
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              Requirement of CHROMOMETHYLASE3 for maintenance of CpXpG methylation.

              Epigenetic silenced alleles of the Arabidopsis SUPERMAN locus (the clark kent alleles) are associated with dense hypermethylation at noncanonical cytosines (CpXpG and asymmetric sites, where X = A, T, C, or G). A genetic screen for suppressors of a hypermethylated clark kent mutant identified nine loss-of-function alleles of CHROMOMETHYLASE3 (CMT3), a novel cytosine methyltransferase homolog. These cmt3 mutants display a wild-type morphology but exhibit decreased CpXpG methylation of the SUP gene and of other sequences throughout the genome. They also show reactivated expression of endogenous retrotransposon sequences. These results show that a non-CpG DNA methyltransferase is responsible for maintaining epigenetic gene silencing.
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                Author and article information

                Contributors
                xujing199506@qq.com
                252931257@qq.com
                herma074@umn.edu
                xuqiang825491332@vip.qq.com
                434840696@qq.com
                502292687@qq.com
                616569238@qq.com
                1206965632@qq.com
                pcrisp@umn.edu
                yjianbing@mail.hzau.edu.cn
                hzaulilin@mail.hzau.edu.cn
                springer@umn.edu
                qingli@mail.hzau.edu.cn
                Journal
                Genome Biol
                Genome Biol
                Genome Biology
                BioMed Central (London )
                1474-7596
                1474-760X
                19 November 2019
                19 November 2019
                2019
                : 20
                : 243
                Affiliations
                [1 ]ISNI 0000 0004 1790 4137, GRID grid.35155.37, National Key Laboratory of Crop Genetic Improvement, , Huazhong Agricultural University, ; Wuhan, 430070 China
                [2 ]ISNI 0000 0004 1798 1482, GRID grid.433811.c, Institute of Nuclear and Biological Technology, , Xinjiang Academy of Agricultural Sciences, ; Urumqi, 830091 China
                [3 ]ISNI 0000000419368657, GRID grid.17635.36, Department of Plant and Microbial Biology, , University of Minnesota, ; St. Paul, MN 55108 USA
                Author information
                http://orcid.org/0000-0003-3232-9479
                Article
                1859
                10.1186/s13059-019-1859-0
                6862797
                31744513
                1b5a84d4-29ac-45d1-abf6-3353cfb6e4d3
                © The Author(s). 2019

                Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License ( http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

                History
                : 4 May 2019
                : 10 October 2019
                Funding
                Funded by: The National Key Research and Development Program of China
                Award ID: 2016YFD0101003
                Award Recipient :
                Funded by: Thousand Young Talents Program
                Funded by: NSF
                Award ID: IOS-1802848
                Award Recipient :
                Funded by: Minnesota Agricultural Experiment Station
                Award ID: MIN 71-068
                Award Recipient :
                Funded by: Huazhong Agricultural University Scientific & Technological Self-innovation Foundation
                Award ID: 2016RC012
                Award Recipient :
                Funded by: the Fundamental Research Funds for the Central Universities
                Award ID: 2662017PY033
                Award Recipient :
                Categories
                Research
                Custom metadata
                © The Author(s) 2019

                Genetics
                dna methylation,gene expression,phenotypic diversity,maize
                Genetics
                dna methylation, gene expression, phenotypic diversity, maize

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