Literature DB >> 18299889

Epi-illumination microscopy coupled to in situ hybridization and its utility in the study of evolution and development in non-model species.

Madelaine E Bartlett1, Bruce K Kirchoff, Chelsea D Specht.   

Abstract

Evolutionary developmental biology often combines methods for examining morphology (e.g., scanning electron microscopy, SEM) with analyses of gene expression (e.g., RNA in situ hybridization). Due to differences in tissue preparation for SEM and gene expression analyses, the same specimen cannot be used for both sets of techniques. To aid in the understanding of morphological variation, it would be particularly useful to have a high-magnification image of the very same sample in which gene expression is subsequently analyzed. To address this need, we developed a method that couples extended depth of field (EDF) epi-illumination microscopy to in situ hybridization in a sequential format, enabling both surface microscopy and gene expression analyses to be carried out on the same specimen. We first created a digital image of inflorescence apices using epi-illumination microscopy and commercially available EDF software. We then performed RNA in situ hybridizations on photographed apices to assess the expression of two developmental genes: Knotted1 (Kn1) in Zea mays (Poaceae) and a PISTILLATA (PI) homolog in Musa basjoo (Musaceae). We demonstrate that expression signal is neither altered nor reduced in the imaged apices as compared with the unphotographed controls. The demonstrated method reduces the amount of sample material necessary for developmental research, and enables individual floral development to be placed in the context of the entire inflorescence. While the technique presented here is particularly relevant to floral developmental biology, it is applicable to any research where observation and description of external features can be fruitfully linked with analyses of gene expression.

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Year:  2008        PMID: 18299889     DOI: 10.1007/s00427-008-0211-6

Source DB:  PubMed          Journal:  Dev Genes Evol        ISSN: 0949-944X            Impact factor:   0.900


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