Literature DB >> 25869653

Examining the Causes and Consequences of Context-Specific Differential DNA Methylation in Maize.

Qing Li1, Jawon Song1, Patrick T West1, Greg Zynda1, Steven R Eichten1, Matthew W Vaughn1, Nathan M Springer2.   

Abstract

DNA methylation is a stable modification of chromatin that can contribute to epigenetic variation through the regulation of genes or transposons. Profiling of DNA methylation in five maize (Zea mays) inbred lines found that while DNA methylation levels for more than 99% of the analyzed genomic regions are similar, there are still 5,000 to 20,000 context-specific differentially methylated regions (DMRs) between any two genotypes. The analysis of identical-by-state genomic regions that have limited genetic variation provided evidence that DMRs can occur without local sequence variation, but they are less common than in regions with genetic variation. Characterization of the sequence specificity of DMRs, location of DMRs relative to genes and transposons, and patterns of DNA methylation in regions flanking DMRs reveals a distinct subset of DMRs. Transcriptome profiling of the same tissue revealed that only approximately 20% of genes with qualitative (on-off) differences in gene expression are associated with DMRs, and there is little evidence for association of DMRs with genes that show quantitative differences in gene expression. We also identify a set of genes that may represent cryptic information that is silenced by DNA methylation in the reference B73 genome. Many of these genes exhibit natural variation in other genotypes, suggesting the potential for selection to act upon existing epigenetic natural variation. This study provides insights into the origin and influences of DMRs in a crop species with a complex genome organization.
© 2015 American Society of Plant Biologists. All Rights Reserved.

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Year:  2015        PMID: 25869653      PMCID: PMC4528731          DOI: 10.1104/pp.15.00052

Source DB:  PubMed          Journal:  Plant Physiol        ISSN: 0032-0889            Impact factor:   8.340


  52 in total

1.  The B73 maize genome: complexity, diversity, and dynamics.

Authors:  Patrick S Schnable; Doreen Ware; Robert S Fulton; Joshua C Stein; Fusheng Wei; Shiran Pasternak; Chengzhi Liang; Jianwei Zhang; Lucinda Fulton; Tina A Graves; Patrick Minx; Amy Denise Reily; Laura Courtney; Scott S Kruchowski; Chad Tomlinson; Cindy Strong; Kim Delehaunty; Catrina Fronick; Bill Courtney; Susan M Rock; Eddie Belter; Feiyu Du; Kyung Kim; Rachel M Abbott; Marc Cotton; Andy Levy; Pamela Marchetto; Kerri Ochoa; Stephanie M Jackson; Barbara Gillam; Weizu Chen; Le Yan; Jamey Higginbotham; Marco Cardenas; Jason Waligorski; Elizabeth Applebaum; Lindsey Phelps; Jason Falcone; Krishna Kanchi; Thynn Thane; Adam Scimone; Nay Thane; Jessica Henke; Tom Wang; Jessica Ruppert; Neha Shah; Kelsi Rotter; Jennifer Hodges; Elizabeth Ingenthron; Matt Cordes; Sara Kohlberg; Jennifer Sgro; Brandon Delgado; Kelly Mead; Asif Chinwalla; Shawn Leonard; Kevin Crouse; Kristi Collura; Dave Kudrna; Jennifer Currie; Ruifeng He; Angelina Angelova; Shanmugam Rajasekar; Teri Mueller; Rene Lomeli; Gabriel Scara; Ara Ko; Krista Delaney; Marina Wissotski; Georgina Lopez; David Campos; Michele Braidotti; Elizabeth Ashley; Wolfgang Golser; HyeRan Kim; Seunghee Lee; Jinke Lin; Zeljko Dujmic; Woojin Kim; Jayson Talag; Andrea Zuccolo; Chuanzhu Fan; Aswathy Sebastian; Melissa Kramer; Lori Spiegel; Lidia Nascimento; Theresa Zutavern; Beth Miller; Claude Ambroise; Stephanie Muller; Will Spooner; Apurva Narechania; Liya Ren; Sharon Wei; Sunita Kumari; Ben Faga; Michael J Levy; Linda McMahan; Peter Van Buren; Matthew W Vaughn; Kai Ying; Cheng-Ting Yeh; Scott J Emrich; Yi Jia; Ananth Kalyanaraman; An-Ping Hsia; W Brad Barbazuk; Regina S Baucom; Thomas P Brutnell; Nicholas C Carpita; Cristian Chaparro; Jer-Ming Chia; Jean-Marc Deragon; James C Estill; Yan Fu; Jeffrey A Jeddeloh; Yujun Han; Hyeran Lee; Pinghua Li; Damon R Lisch; Sanzhen Liu; Zhijie Liu; Dawn Holligan Nagel; Maureen C McCann; Phillip SanMiguel; Alan M Myers; Dan Nettleton; John Nguyen; Bryan W Penning; Lalit Ponnala; Kevin L Schneider; David C Schwartz; Anupma Sharma; Carol Soderlund; Nathan M Springer; Qi Sun; Hao Wang; Michael Waterman; Richard Westerman; Thomas K Wolfgruber; Lixing Yang; Yeisoo Yu; Lifang Zhang; Shiguo Zhou; Qihui Zhu; Jeffrey L Bennetzen; R Kelly Dawe; Jiming Jiang; Ning Jiang; Gernot G Presting; Susan R Wessler; Srinivas Aluru; Robert A Martienssen; Sandra W Clifton; W Richard McCombie; Rod A Wing; Richard K Wilson
Journal:  Science       Date:  2009-11-20       Impact factor: 47.728

2.  Dynamics and biological relevance of DNA demethylation in Arabidopsis antibacterial defense.

Authors:  Agnès Yu; Gersende Lepère; Florence Jay; Jingyu Wang; Laure Bapaume; Yu Wang; Anne-Laure Abraham; Jon Penterman; Robert L Fischer; Olivier Voinnet; Lionel Navarro
Journal:  Proc Natl Acad Sci U S A       Date:  2013-01-18       Impact factor: 11.205

3.  Imprinted expression of genes and small RNA is associated with localized hypomethylation of the maternal genome in rice endosperm.

Authors:  Jessica A Rodrigues; Randy Ruan; Toshiro Nishimura; Manoj K Sharma; Rita Sharma; Pamela C Ronald; Robert L Fischer; Daniel Zilberman
Journal:  Proc Natl Acad Sci U S A       Date:  2013-04-23       Impact factor: 11.205

4.  BEDTools: a flexible suite of utilities for comparing genomic features.

Authors:  Aaron R Quinlan; Ira M Hall
Journal:  Bioinformatics       Date:  2010-01-28       Impact factor: 6.937

Review 5.  Active DNA demethylation mediated by DNA glycosylases.

Authors:  Jian-Kang Zhu
Journal:  Annu Rev Genet       Date:  2009       Impact factor: 16.830

6.  The Arabidopsis nucleosome remodeler DDM1 allows DNA methyltransferases to access H1-containing heterochromatin.

Authors:  Assaf Zemach; M Yvonne Kim; Ping-Hung Hsieh; Devin Coleman-Derr; Leor Eshed-Williams; Ka Thao; Stacey L Harmer; Daniel Zilberman
Journal:  Cell       Date:  2013-03-28       Impact factor: 41.582

7.  CHH islands: de novo DNA methylation in near-gene chromatin regulation in maize.

Authors:  Jonathan I Gent; Nathanael A Ellis; Lin Guo; Alex E Harkess; Yingyin Yao; Xiaoyu Zhang; R Kelly Dawe
Journal:  Genome Res       Date:  2012-12-26       Impact factor: 9.043

8.  Maize gene atlas developed by RNA sequencing and comparative evaluation of transcriptomes based on RNA sequencing and microarrays.

Authors:  Rajandeep S Sekhon; Roman Briskine; Candice N Hirsch; Chad L Myers; Nathan M Springer; C Robin Buell; Natalia de Leon; Shawn M Kaeppler
Journal:  PLoS One       Date:  2013-04-23       Impact factor: 3.240

9.  methylKit: a comprehensive R package for the analysis of genome-wide DNA methylation profiles.

Authors:  Altuna Akalin; Matthias Kormaksson; Sheng Li; Francine E Garrett-Bakelman; Maria E Figueroa; Ari Melnick; Christopher E Mason
Journal:  Genome Biol       Date:  2012-10-03       Impact factor: 13.583

10.  Patterns of population epigenomic diversity.

Authors:  Robert J Schmitz; Matthew D Schultz; Mark A Urich; Joseph R Nery; Mattia Pelizzola; Ondrej Libiger; Andrew Alix; Richard B McCosh; Huaming Chen; Nicholas J Schork; Joseph R Ecker
Journal:  Nature       Date:  2013-03-06       Impact factor: 49.962

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  28 in total

1.  Chromatin and Epigenetics.

Authors:  Anna Amtmann; Hong Ma; Doris Wagner
Journal:  Plant Physiol       Date:  2015-08       Impact factor: 8.340

2.  RNA-directed DNA methylation enforces boundaries between heterochromatin and euchromatin in the maize genome.

Authors:  Qing Li; Jonathan I Gent; Greg Zynda; Jawon Song; Irina Makarevitch; Cory D Hirsch; Candice N Hirsch; R Kelly Dawe; Thelma F Madzima; Karen M McGinnis; Damon Lisch; Robert J Schmitz; Matthew W Vaughn; Nathan M Springer
Journal:  Proc Natl Acad Sci U S A       Date:  2015-11-09       Impact factor: 11.205

Review 3.  Exploiting induced and natural epigenetic variation for crop improvement.

Authors:  Nathan M Springer; Robert J Schmitz
Journal:  Nat Rev Genet       Date:  2017-07-03       Impact factor: 53.242

4.  Heritable Epigenomic Changes to the Maize Methylome Resulting from Tissue Culture.

Authors:  Zhaoxue Han; Peter A Crisp; Scott Stelpflug; Shawn M Kaeppler; Qing Li; Nathan M Springer
Journal:  Genetics       Date:  2018-05-30       Impact factor: 4.562

Review 5.  Creating Order from Chaos: Epigenome Dynamics in Plants with Complex Genomes.

Authors:  Nathan M Springer; Damon Lisch; Qing Li
Journal:  Plant Cell       Date:  2016-02-11       Impact factor: 11.277

Review 6.  Epigenetics and epigenomics: underlying mechanisms, relevance, and implications in crop improvement.

Authors:  Gaurav Agarwal; Himabindu Kudapa; Abirami Ramalingam; Divya Choudhary; Pallavi Sinha; Vanika Garg; Vikas K Singh; Gunvant B Patil; Manish K Pandey; Henry T Nguyen; Baozhu Guo; Ramanjulu Sunkar; Chad E Niederhuth; Rajeev K Varshney
Journal:  Funct Integr Genomics       Date:  2020-10-21       Impact factor: 3.410

7.  Recurrent establishment of de novo centromeres in the pericentromeric region of maize chromosome 3.

Authors:  Hainan Zhao; Zixian Zeng; Dal-Hoe Koo; Bikram S Gill; James A Birchler; Jiming Jiang
Journal:  Chromosome Res       Date:  2017-08-22       Impact factor: 5.239

Review 8.  DNA methylation analysis in plants: review of computational tools and future perspectives.

Authors:  Jimmy Omony; Thomas Nussbaumer; Ruben Gutzat
Journal:  Brief Bioinform       Date:  2020-05-21       Impact factor: 11.622

9.  Chromosome-level genome assembly of a regenerable maize inbred line A188.

Authors:  Guifang Lin; Cheng He; Jun Zheng; Dal-Hoe Koo; Ha Le; Huakun Zheng; Tej Man Tamang; Jinguang Lin; Yan Liu; Mingxia Zhao; Yangfan Hao; Frank McFraland; Bo Wang; Yang Qin; Haibao Tang; Donald R McCarty; Hairong Wei; Myeong-Je Cho; Sunghun Park; Heidi Kaeppler; Shawn M Kaeppler; Yunjun Liu; Nathan Springer; Patrick S Schnable; Guoying Wang; Frank F White; Sanzhen Liu
Journal:  Genome Biol       Date:  2021-06-09       Impact factor: 13.583

Review 10.  Exploiting Epigenetic Variations for Crop Disease Resistance Improvement.

Authors:  Pengfei Zhi; Cheng Chang
Journal:  Front Plant Sci       Date:  2021-06-04       Impact factor: 5.753

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