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Exploring the relationship between intron retention and DNase I hypersensitivity in plants Fahad Ullah1, A.S.N. Reddy2, and Asa Ben-Hur1 1Computer Science Department, Colorado State University 2Department of Biology and Program in Molecular Plant Biology, Colorado State University

INTRODUCTION • •

• •

RESULTS

Alternative Splicing (AS) is a regulated phenomenon responsible for generating multiple transcripts from a single gene. Intron Retention is the most common form of AS in plants [1].

METHODS

DNase I-seq data profile across IR and IE events

DNase I digests DNA at regions of open chromatin. These regions are known as DNase I Hypersensitive Sites (DHSs). • These sites can be identified using a method called DNase I-Seq.

Data Source Arabidopsis [2] Arabidopsis [3] Rice [4]

DHS Content IR IE 9.39% 3.37% 8.87% 3.42% 18.23% 4.61%

• • • •

RNA-Seq and DNase I-Seq data in Arabidopsis [3,4] and rice [5]. IR and IE events extracted from the RNA-Seq data. Adjusted for the profile coverage of DNase I-Seq data across genes. Experiment pipeline: associating DHSs with IR/IE and footprint analysis

DHS content is the fraction of intron retention (IR) / intron excision (IE) events with an overlapping DNase I hypersensitive site(s). The significance of the overlap of DHSs with IR events is verified by the hypergeometric test.

Protein Footprinting

From: http://www.nature.com/nature/journal/v489/n7414/images/489052a-f1.2.jpg

CONCLUSIONS

Transcription speed and nucleosome occupancy affects splicing [2].

• IR events are enriched for DNase I hypersensitive sites.

• DNase I-seq data profile indicates more flexible chromatin in IR. • Evidence for protein footprints near the occurrences of k-mers associated with IR and IE. Future Work • Extend this work to other forms of AS.

REFERENCES From: http://www.cell.com/cms/attachment/2018564656/2038712630/gr3.jpg

GOALS Establish a connection between alternative splicing and chromatin organization for better understanding of the factors that regulate AS.

Type IR

IE

Region 5’ Exon intron 3’ Exon 5’ Exon intron 3’ Exon

Arabidopsis 113 349 114 137 146 89

Rice 281 227 270 125 242 166

Overlap 51 102 88 84 73 87

p-value 5.76E-31 2.22E-53 3.38E-86 9.89E-106 5.24E-54 5.04E-130

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Identification of denovo footprints using continuous HMMs



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Hypergeometric p-value 5.50E-11 1.54E-47 8.90E-67

• Chromatin state can affect splicing since splicing is cotranscriptional.

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1. 2. 3. 4. 5.

Reddy, A.S.N., Roger, M.F. , Hamilton M., Ben-Hur A. et al. (2012) Frontiers in Plant Sciences. 3, 18. Almeida, S.F. et al. (2014) Seminars in Cell and Developmental Biology. 32, 2-10. Sullivan A.M., Arsovski A.A. et al. (2014) Cell Reports 8(6), 2015-30. Zhang W, Zhang T et al. (2012) Plant Cell 24(7). Zhang W., Wu Y et al. (2012) Genome Research 22(1).

ACKNOWLEDGMENTS This project was funded by the US Department of Energy (DOE) Plant Feedstocks Genomics for Bioenergy program.

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