Peter Crisp

UQ Amplify Researcher and Senior Lecturer

University of Queensland

Australia

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About

Peter Crisp is an UQ Amplify Researcher and Senior Lecturer at The University of Queensland, Australia. His research areas encompass plant biology, epigenetics, root architecture, and crop development, as evidenced by his recent publications on topics such as haplotype analysis in barley and the epigenetic regulation of CRISPR–Cas9 efficacy in plants. His work contributes significantly to understanding plant responses to environmental stresses and improving crop traits.

Articles (17)

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2022

Collaborators (17)

Erich Grotewold

Chair & Professor

Michigan State University

UNITED STATES

Peter Crisp

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Articles (17)

Precision plant epigenome editing: what, how, and why

The Association Between the Flesh Colour and Carotenoid Profile of 25 Cultivars of Mangoes

The PIN2 ortholog in barley modifies root gravitropism and architecture

Haplotype‐based insights into seminal root angle in barley

Testing the potential of zebularine to induce heritable changes in crop growth and development

Decoding PDI diversity: Insights into structure, domains, and functionality in sorghum

Dynamics of mRNA fate during light stress and recovery: from transcription to stability and translation

Epigenetic features drastically impact CRISPR–Cas9 efficacy in plants

Modeling chromatin state from sequence across angiosperms using recurrent convolutional neural networks

Enzymes degraded under high light maintain proteostasis by transcriptional regulation in Arabidopsis

Genome‐wide loss of CHH methylation with limited transcriptome changes in Setaria viridis domains rearranged methyltransferase (DRM) mutants

Epigenome guided crop improvement: current progress and future opportunities

Decoding the sorghum methylome: understanding epigenetic contributions to agronomic traits

Beyond the gene: epigenetic and cis-regulatory targets offer new breeding potential for the future

Harnessing genetic variation at regulatory regions to fine-tune traits for climate-resilient crops

Prediction of conserved and variable heat and cold stress response in maize using cis-regulatory information

Identifying transcription factor-DNA interactions using machine learning

Collaborators (17)

Erich Grotewold

Edward Buckler

Ian Godwin

Tara Enders

Candice N Hirsch

Yoshika Janapala

Barry Pogson

Daniel Cozzolino

Lee Hickey

Kathleen Greenham

Owen Duncan

alexandre marand

Nathan M Springer

Peter M Waterhouse

Yan Zhang

Feng Zhang

Zachary Myers

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