Investigating the Control of Chlorophyll Degradation by Genomic Correlation Mining

Open Access

Peer-reviewed

Research Article

Frederick P. Ghandchi,

Affiliations Institute for Genomic Biology, University of Illinois at Urbana-Champaign, Urbana, IL, United States of America, Department of Crop Sciences, University of Illinois at Urbana-Champaign, Urbana, IL, United States of America
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Gustavo Caetano-Anolles,

Affiliations Institute for Genomic Biology, University of Illinois at Urbana-Champaign, Urbana, IL, United States of America, Department of Crop Sciences, University of Illinois at Urbana-Champaign, Urbana, IL, United States of America
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Steven J. Clough,

Affiliations Department of Crop Sciences, University of Illinois at Urbana-Champaign, Urbana, IL, United States of America, Soybean/maize Germplasm, Pathology, and Genetics Research Unit, USDA/ARS, University of Illinois at Urbana-Champaign, Urbana, IL, United States of America
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Donald R. Ort

* E-mail: d-ort@illinois.edu

Affiliations Institute for Genomic Biology, University of Illinois at Urbana-Champaign, Urbana, IL, United States of America, Department of Crop Sciences, University of Illinois at Urbana-Champaign, Urbana, IL, United States of America, Department of Plant Biology, University of Illinois at Urbana-Champaign, Urbana, IL, United States of America, Global Change and Photosynthesis Research Unit, USDA/ARS, University of Illinois at Urbana-Champaign, Urbana, IL, United States of America
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Chlorophyll
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Transcription factors
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Protein domains
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Microarrays
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Arabidopsis thaliana
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Motor proteins
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Gene expression
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Transcriptional control
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