Literature DB >> 21477651

Representational Difference Analysis (RDA) reveals differential expression of conserved as well as novel genes during caste-specific development of the honey bee (Apis mellifera L.) ovary.

Fernanda C Humann1, Klaus Hartfelder.   

Abstract

In highly eusocial insects, such as the honey bee, Apis mellifera, the reproductive bias has become embedded in morphological caste differences. These are most expressively denoted in ovary size, with adult queens having large ovaries consisting of 150-200 ovarioles each, while workers typically have only 1-20 ovarioles per ovary. This morphological differentiation is a result of hormonal signals triggered by the diet change in the third larval instar, which eventually generate caste-specific gene expression patterns. To reveal these we produced differential gene expression libraries by Representational Difference Analysis (RDA) for queen and worker ovaries in a developmental stage when cell death is a prominent feature in the ovarioles of workers, whereas all ovarioles are maintained and extend in length in queens. In the queen library, 48% of the gene set represented homologs of known Drosophila genes, whereas in the worker ovary, the largest set (59%) were ESTs evidencing novel genes, not even computationally predicted in the honey bee genome. Differential expression was confirmed by quantitative RT-PCR for a selected gene set, denoting major differences for two queen and two worker library genes. These included two unpredicted genes located in chromosome 11 (Group11.35 and Group11.31, respectively) possibly representing long non-coding RNAs. Being candidates as modulators of ovary development, their expression and functional analysis should be a focal point for future studies.
Copyright © 2011 Elsevier Ltd. All rights reserved.

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Year:  2011        PMID: 21477651     DOI: 10.1016/j.ibmb.2011.03.013

Source DB:  PubMed          Journal:  Insect Biochem Mol Biol        ISSN: 0965-1748            Impact factor:   4.714


  12 in total

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Authors:  Robert E Page; Olav Rueppell; Gro V Amdam
Journal:  Annu Rev Genet       Date:  2012-08-28       Impact factor: 16.830

3.  The Architecture of the Pollen Hoarding Syndrome in Honey Bees: Implications for Understanding Social Evolution, Behavioral Syndromes, and Selective Breeding.

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Journal:  Apidologie       Date:  2014-05-01       Impact factor: 2.318

4.  Transcriptome analysis of the Asian honey bee Apis cerana cerana.

Authors:  Zi Long Wang; Ting Ting Liu; Zachary Y Huang; Xiao Bo Wu; Wei Yu Yan; Zhi Jiang Zeng
Journal:  PLoS One       Date:  2012-10-24       Impact factor: 3.240

5.  Developmental Transcriptome for a Facultatively Eusocial Bee, Megalopta genalis.

Authors:  Beryl M Jones; William T Wcislo; Gene E Robinson
Journal:  G3 (Bethesda)       Date:  2015-08-14       Impact factor: 3.154

6.  Sequence and expression characteristics of long noncoding RNAs in honey bee caste development--potential novel regulators for transgressive ovary size.

Authors:  Fernanda C Humann; Gustavo J Tiberio; Klaus Hartfelder
Journal:  PLoS One       Date:  2013-10-31       Impact factor: 3.240

7.  Biased gene expression in early honeybee larval development.

Authors:  Rosannah C Cameron; Elizabeth J Duncan; Peter K Dearden
Journal:  BMC Genomics       Date:  2013-12-19       Impact factor: 3.969

8.  Dimorphic ovary differentiation in honeybee (Apis mellifera) larvae involves caste-specific expression of homologs of ark and buffy cell death genes.

Authors:  Rodrigo Pires Dallacqua; Márcia Maria Gentile Bitondi
Journal:  PLoS One       Date:  2014-05-20       Impact factor: 3.240

9.  BmncRNAdb: a comprehensive database of non-coding RNAs in the silkworm, Bombyx mori.

Authors:  Qiu-Zhong Zhou; Bindan Zhang; Quan-You Yu; Ze Zhang
Journal:  BMC Bioinformatics       Date:  2016-09-13       Impact factor: 3.169

10.  Insights into the dynamics of hind leg development in honey bee (Apis mellifera L.) queen and worker larvae - A morphology/differential gene expression analysis.

Authors:  Carolina Gonçalves Santos; Klaus Hartfelder
Journal:  Genet Mol Biol       Date:  2015-08-21       Impact factor: 1.771

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