Implications of Endogenous Small Regulatory RNAs Survey in Mollusks on Gene Silencing Approaches

Mollusks are an abundant group of animals, with many ecologically and economically important members that are phylogenetically distinct from nearly all genetic model organisms. This study provides a clade-wide evaluation of small RNA biogenesis pathways, with emphasis on the eastern oyster, Crassostrea virginica. A more thorough characterization of these molecules supports rationale design of RNA interference (RNAi) approaches for manipulation of mollusk genetics. Like other animal groups, mollusks have conserved microRNAs (miRNAs), with some shared with ecdysozoans and deuterostomes; however, there was no evidence of a dedicated endogenous small-interfering RNA (siRNA) pathway. These findings suggest that alternatives to long double-stranded RNA (dsRNA)-mediated knockdown, specifically short-hairpin RNAs or small duplex RNAs, are likely more appropriate for gene silencing in mollusks. The study also finds abundant Piwi-interacting RNAs (piRNAs) in both soma and gonads with some mollusk-specific aspects. Many invertebrates exhibit somatic piRNAs; however, mollusk piRNAs appear to be restricted to a subset of cells, suggesting that the potential of piRNA-based RNAi is also limited. Further, individual animals also express a unique collection of piRNAs that seem to be only partially determined through inheritance from parents. Together, this work defines the RNAi mechanisms in mollusks and provides insights into the phenotypic diversity seen in this group.

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Publication Details

Journal
Marine Biotechnology
Published
2025-09-29
DOI
https://doi.org/10.1007/s10126-025-10519-9
Citations
1
Primary Topic
CRISPR and Genetic Engineering
Type
article
Field-Weighted Citation Impact
0.81

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article

Implications of Endogenous Small Regulatory RNAs Survey in Mollusks on Gene Silencing Approaches

Yulica Santos‐Ortega, Beatriz Schueng Zancanela, Cory Von Eiff, Alex S. Flynt et al.
1 citations
Marine Biotechnology
CRISPR and Genetic Engineering
0.81
article

Implications of Endogenous Small Regulatory RNAs Survey in Mollusks on Gene Silencing Approaches

Yulica Santos‐Ortega, Beatriz Schueng Zancanela, Cory Von Eiff, Alex S. Flynt, Sonia Valdivia, Megan Gima, Kevin Quito, Manitejus Kotikalapudi
article en
1 citations

Abstract

Mollusks are an abundant group of animals, with many ecologically and economically important members that are phylogenetically distinct from nearly all genetic model organisms. This study provides a clade-wide evaluation of small RNA biogenesis pathways, with emphasis on the eastern oyster, Crassostrea virginica. A more thorough characterization of these molecules supports rationale design of RNA interference (RNAi) approaches for manipulation of mollusk genetics. Like other animal groups, mollusks have conserved microRNAs (miRNAs), with some shared with ecdysozoans and deuterostomes; however, there was no evidence of a dedicated endogenous small-interfering RNA (siRNA) pathway. These findings suggest that alternatives to long double-stranded RNA (dsRNA)-mediated knockdown, specifically short-hairpin RNAs or small duplex RNAs, are likely more appropriate for gene silencing in mollusks. The study also finds abundant Piwi-interacting RNAs (piRNAs) in both soma and gonads with some mollusk-specific aspects. Many invertebrates exhibit somatic piRNAs; however, mollusk piRNAs appear to be restricted to a subset of cells, suggesting that the potential of piRNA-based RNAi is also limited. Further, individual animals also express a unique collection of piRNAs that seem to be only partially determined through inheritance from parents. Together, this work defines the RNAi mechanisms in mollusks and provides insights into the phenotypic diversity seen in this group.

Marine BiotechnologyVol. 27(5)
The University of Texas MD Anderson Cancer Center (US), University of Mississippi (US), University of Southern Mississippi (US)
National Science Foundation, Mississippi IDeA Network of Biomedical Research Excellence
Openalex Percentile: Top 23%
CRISPR and Genetic Engineering
0.81
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