Comparative Analysis of Brain and Fat Body Gene Splicing Patterns in the Honey Bee, Apis mellifera

Author:

Kannan Kavya12,Shook Molly1,Li Yang3,Robinson Gene E145,Ma Jian16

Affiliation:

1. Carl R. Woese Institute for Genomic Biology, Department of Entomology, Neuroscience Program, University of Illinois at Urbana-Champaign, Urbana, IL 61801

2. Department of Plant Biology, University of Illinois at Urbana-Champaign, Urbana, IL 61801

3. Department of Bioengineering, University of Illinois at Urbana-Champaign, Urbana, IL 61801

4. Department of Entomology, University of Illinois at Urbana-Champaign, Urbana, IL 61801

5. Neuroscience Program, University of Illinois at Urbana-Champaign, Urbana, IL 61801

6. Computational Biology Department, School of Computer Science, Carnegie Mellon University, Pittsburgh, PA 15213

Abstract

Abstract RNA-seq has proven to be a powerful tool to unravel various aspects of the transcriptome, especially the quantification of alternative splicing (AS) that leads to isoform diversity. The honey bee (Apis mellifera) is an important model organism for studying the molecular underpinnings of behavioral plasticity and social behavior, and recent RNA-seq studies of honey bees have revealed AS patterns and their regulation by DNA methylation. However, tissue-specific AS patterns have not been fully explored. In this paper, we characterized AS patterns in two different honey bee tissue types, and also explored their conservation and regulation. We used the RNA-seq data from brain and fat body to improve the existing models of honey bee genes and identified tissue-specific AS patterns. We found that AS genes show high conservation between honey bee and Drosophila melanogaster. We also confirmed and extended previous findings of a correlation between gene body DNA methylation and AS patterns, providing further support for the role of DNA methylation in regulating AS. In addition, our analysis suggests distinct functional roles for tissue-specific alternatively spliced genes. Taken together, our work provides new insights into the conservation and dynamics of AS patterns across different tissue types.

Publisher

Oxford University Press (OUP)

Subject

Genetics(clinical),Genetics,Molecular Biology

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