Author

Adam J Bewick

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Plant Biology· 2 Bioinformatics· 1 Evolutionary Biology· 1

Signature Assays, Organisms & Methods

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Assay:DNA methylation· 4 Approach:statistical model· 4 Research Focus:chromatin & epigenetic regulation· 3 Approach:comparative / phylogenetic analysis· 2 Organism:plant (other)· 2 Organism:multiple species· 1 Research Focus:variant calling· 1

Frequent Co-Authors

Robert J Schmitz· 4 shared Brigitte T Hofmeister· 2 shared Chad E Niederhuth· 2 shared Jane GrimwoodiD· 2 shared Jeremy SchmutziD· 2 shared Lexiang Ji· 2 shared Nicholas A Rohr· 2 shared Xiaoyu Zhang· 2 shared

Activity by Year

2015-2016 · peak 3/yr

Co-Author Collaboration Network

10 top collaborators · 35 mutual co-author links

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4 shared papersPlant Biology

Robert J Schmitz

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4 papers

Recent·Most cited

The evolution of DNA methylation and its relationship to sociality in insects

Adam J Bewick, Kevin J Vogel, Allen J Moore, Robert J Schmitz

The paper examines DNA methylation patterns across insect species to test if it correlates with sociality, finding widespread methylation but no evolutionary dependency between methylation and social behavior.

bioRxiv · Aug 22, 2016Evolutionary Biology

On the Origin and Evolutionary Consequences of Gene Body DNA Methylation

Adam J Bewick, Lexiang Ji, Chad E Niederhuth, Eva-Maria Willing, Brigitte T Hofmeister, Xiuling Shi, Li Wang, Zefu Lu, Nicholas A Rohr, Benjamin Hartwig, Christiane Kiefer, Roger B Deal, Jeremy Schmutz, Jane Grimwood, Hume Stroud, , Robert J Schmitz

The paper investigates the origin and evolutionary consequences of gene body DNA methylation by studying the loss of this feature in two angiosperms, finding that CMT3 is essential for its establishment.

Proceedings of the National Academy of Sciences · Jul 25, 2016Peer-reviewedPlant Biology

Widespread natural variation of DNA methylation within angiosperms

Chad E Niederhuth, Adam J Bewick, Lexiang Ji, Magdy Alabady, Kyung Do Kim, Justin T Page, Qing Li, Nicholas A Rohr, Aditi Rambani, John M Burke, Josh A Udall, Chiedozie Egesi, Jeremy Schmutz, Jane Grimwood, Scott A Jackson, , Robert J Schmitz

This study compares DNA methylation patterns across 34 angiosperm species, revealing widespread variation in methylation patterns linked to evolutionary and life history traits.

bioRxiv · May 30, 2016Plant Biology

FASTmC: a suite of predictive models for non-reference-based estimations of DNA methylation

Adam J Bewick, Brigitte T Hofmeister, Kevin J Lee, Xiaoyu Zhang, Dave W Hall, Robert J Schmitz

FASTmC provides predictive models to estimate DNA methylation without a reference genome, using whole genome bisulfite sequencing data from as few as several thousand short-reads.

bioRxiv · Oct 20, 2015Bioinformatics