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Enhanced Northern Blot Detection of Small RNA Species in Drosophila Melanogaster
Published on: August 21, 2014
Microenvironmental Gene Expression Plasticity Among Individual Drosophila melanogaster
Yanzhu Lin1, Zhen-Xia Chen2, Brian Oliver2
1Laboratory of Systems Genetics, National Heart Lung and Blood Institute, National Institutes of Health, Bethesda, Maryland 20892.
Even genetically identical flies show unique gene expression patterns. Genotype significantly influences this variability, revealing genetic underpinnings of individual differences in gene expression.
Area of Science:
- Genetics
- Molecular Biology
- Developmental Biology
Background:
- Phenotypic variation exists even in genetically identical individuals under identical environments.
- This variability, termed microenvironmental plasticity, has poorly understood causes.
- Potential causes include stochastic variance, technical error, or genetic components.
Purpose of the Study:
- To investigate gene expression robustness and variability in individual Drosophila melanogaster.
- To determine the influence of genotype and microenvironment on transcriptional variation.
- To explore genetic sources of variability in gene expression.
Main Methods:
- Analyzed transcriptomes of 730 individual Drosophila melanogaster from 16 fixed genotypes.
- Controlled environmental factors including food, light cycles, humidity, temperature, and social exposure.
- Included nine genotypes infected with Wolbachia and standardized RNA extraction timing.
Main Results:
- Thousands of genes showed differential expression, creating unique transcriptional signatures for each fly.
- 23% of the transcriptome exhibited differential expression among individuals.
- Variability in gene expression was influenced by genotype and originated from specific gene pathways.
Conclusions:
- Genotype plays a significant role in individual gene expression variability.
- Both plastic responses to the microenvironment and stochastic fluctuations contribute to transcriptional differences.
- These findings highlight unappreciated genetic sources of variability with implications for complex trait genetics and precision medicine.
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