Analysis of the microRNA transcriptome of Daphnia pulex during aging

Lipofuscin, amyloids, and lipid peroxidation as potential markers of aging in Daphnia

Accumulation of autofluorescent waste products, amyloids, and products of lipid peroxidation (LPO) are important hallmarks of aging. Until now, these processes have not been documented in Daphnia, a convenient model organism for longevity and senescence studies. We conducted a longitudinal cohort study of autofluorescence and Congo Red (CR) fluorescent staining for amyloids in four clones of D. magna. Additionally, we used a single time point cross-sectional common garden experiment within a single clone in which autofluorescence and BODIPY C11 fluorescence were measured. We observed a robust increase in autofluorescent spots that show diagnostic co-staining by Sudan Black indicating lipofuscin aggregates, particularly in the upper body region. There was also a significant clone-by-age interaction indicating that some genotypes accumulated lipofuscins faster than others. Contrary to predictions, CR fluorescence and lipid peroxidation did not consistently increase with age. CR fluorescence demonstrated a slight non-monotonous relationship with age, achieving the highest values at intermediate ages, possibly due to elimination of physiological heterogeneity in our genetically uniform cohorts. LPO demonstrated a significant ovary status-by-age interaction, decreasing with age when measured in Daphnia with full ovaries (late phase ovarian cycle) and showing no significant trend or slight increase with age when measured during the early phase in the ovarian cycle.

miRBaseMiner, a tool for investigating miRBase content

microRNAs are small non-coding RNA molecules playing a central role in gene regulation. miRBase is the standard reference source for analysis and interpretation of experimental studies. However, the richness and complexity of the annotation is often underappreciated by users. Moreover, even for experienced users, the size of the resource can make it difficult to explore annotation to determine features such as species coverage, the impact of specific characteristics and changes between successive releases. A further consideration is that each new miRBase release contains entries that have had limited review and which may subsequently be removed in a future release to ensure the quality of annotation. To aid the miRBase user, we developed a software tool, miRBaseMiner, for investigating miRBase annotation and generating custom annotation sets. We apply the tool to characterize each release from v9.2 to v22 to examine how annotation has changed across releases and highlight some of the annotation features that users should keep in mind when using for miRBase for data analysis. These include: (1) entries with identical or very similar sequences; (2) entries with multiple annotated genome locations; (3) hairpin precursor entries with extremely low-estimated minimum free energy; (4) entries possessing reverse complementary; (5) entries with 3ʹ poly(A) ends. As each of these factors can impact the identification of dysregulated features and subsequent clinical or biological conclusions, miRBaseMiner is a valuable resource for any user using miRBase as a reference source.