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Published on: August 10, 2017
Influence of RNA-Seq library construction, sampling methods, and tissue harvesting time on gene expression estimation
Ylenia Chiari1, Leif Howard2,3, Nickolas Moreno1
1Department of Biology, George Mason University, Fairfax, Virginia, USA.
Researchers can use various fish sampling methods without impacting gene expression results. However, whole mRNA sequencing (NEB) detects more genes than 3' RNA sequencing (QuantSeq), making it more powerful for certain analyses.
Area of Science:
- Ecology
- Genomics
- Molecular Biology
Background:
- RNA sequencing (RNA-Seq) is vital for gene expression analysis in wild populations.
- Sampling techniques and library preparation can influence RNA-Seq results.
- Understanding these technical variables is crucial for accurate gene expression studies in non-model organisms.
Purpose of the Study:
- To assess the impact of different fish sampling methods (dip netting vs. electrofishing) and tissue collection times on gene expression estimates.
- To compare the performance of two RNA-Seq library types: 3' RNA-Seq (QuantSeq) and whole mRNA-Seq (NEB).
- To determine the reliability of various field sampling strategies and RNA-Seq library types for gene expression studies.
Main Methods:
- Gene expression was analyzed in blood, gill, and muscle tissues of westslope cutthroat trout (Oncorhynchus clarkii lewisi).
- Two RNA-Seq library types, QuantSeq and NEB, were employed.
- Effects of dip netting versus electrofishing and immediate versus 5-minute post-euthanasia tissue harvesting were evaluated.
Main Results:
- No significant differences in gene expression were observed between sampling methods or tissue collection times for either library type.
- Whole mRNA-Seq (NEB) detected 31% more genes than 3' RNA-Seq (QuantSeq).
- 58% of detected genes showed significantly different expression levels between the NEB and QuantSeq library types.
Conclusions:
- Field sampling strategies for fish, including dip netting and electrofishing, do not significantly alter gene expression estimates.
- Whole mRNA-Seq (NEB) is more comprehensive than QuantSeq, offering advantages for detecting low-expressed genes, alternative splicing, and research in organisms with limited genomic resources.
- QuantSeq offers a cost-effective alternative, but NEB provides greater depth and breadth of gene detection.
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