Individuals with identical genotypes often show high phenotypic variability. To better characterize inter-individual differences in aging, we further optimized the low-input Smart-
seq2 RNASeq strategy (Picelli et al., 2014; Serra et al., 2018) to support routine collection of high-quality C. elegans transcriptomes. Compared to conventional techniques that require thousands of individuals as input material, we have validated our method to show that it can produce robust results from single individuals, and scales up to pools of thirty worms at which point it replaces existing bulk methods. This combination of single and pooled RNASeq provides a quantitative means for studying variation in gene regulation and tissue composition between individuals and across populations. Looking to increase throughput and reduce cost over existing approaches, we identified an eccentricity of the Smart-
seq2 template-switching polymerase that in C. elegans leads to an aberrant amplification of specific ribosomal RNAs independent of the poly-dT primers used during reverse transcription. More generally, we find that Smart-
seq2 template-switching oligomers bind non-specifically to multiple non-coding RNAs. We solve this problem by combining biotin-labeled primers with an additional bead purification step after reverse transcription. This procedure excludes all non-coding RNAs and increases our effective sequencing depth by 4.5 fold, providing pooled or single-worm transcriptomes at dramatically lower cost. We demonstrate the usefulness of this new method to identify novel downstream targets of the
daf-2 insulin/IGF receptor. References Picelli, Simone, et al. "Full-length RNA-seq from single cells using Smart-
seq2." Nature protocols 9.1 (2014): 171-181. Serra, Lorrayne, et al. "Adapting the Smart-
seq2 protocol for robust single worm RNA-seq." Bio-protocol 8.4 (2018).