Automated Author ProfileNovák, Petr
Czech Academy of Sciences, Biology Centre
Novák, Petr
Current S-Index
Sum of Dataset Indices for all datasets
Average Dataset Index per Dataset
Average Dataset Index per dataset
Total Datasets
Total datasets for this author
Average FAIR Score
Average FAIR Score per dataset
Total Citations
Total citations to the author's datasets
Total Mentions
Total mentions of the author's datasets
S-Index Interpretation
The S-Index (Sharing Index) is a comprehensive metric that represents the cumulative impact of all your datasets. It is calculated as the sum of Dataset Index scores across all your claimed datasets.
What it means:
- A higher S-index indicates greater overall impact of your datasets relative to typical datasets in their fields of research
- The S-Index grows as you add more datasets or as existing datasets gain more citations and mentions
- It provides a single number to track your research data impact over time
Current S-Index: 0.7 (sum of 1 dataset Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
Repetitive DNA contributes significantly to plant genome size, adaptation, and evolution. However, little is understood about the transcription of repeats. This is addressed here in the plant green foxtail millet (Setaria viridis). First, we used RepeatExplorer2 to calculate the genome proportion (GP) of all repeat types and compared the GP of LTR retroelements against annotated complete and incomplete LTR retroelements (Ty1/copia, Ty3/gypsy) identified by DANTE in a whole genome assembly. We show that DANTE-identified LTR retroelements can comprise ~0.75% of the inflorescence poly-A transcriptome and ~0.24% of the stem ribo-depleted transcriptome. In the RNA libraries from inflorescence tissue, both LTR retroelements and DNA transposons identified by RepeatExplorer2 were highly abundant, where they may be taking advantage of the reduced epigenetic silencing in the germ line to amplify. Typically, there was a higher representation of DANTE-identified LTR retroelements in the transcriptome than RepeatExplorer2-identified LTR retroelements, potentially reflecting the transcription of elements that have insufficient genomic copy numbers to be detected by RepeatExplorer2. In contrast, for ribo-depleted libraries of stem tissues the reverse was observed, with a higher transcriptome representation of RepeatExplorer2-identifed LTR retroelements. For RepeatExplorer2-identified repeats, we show that the GP of most Ty1/copia and Ty3/gypsy families were positively correlated with their transcript proportion. In addition, GC-rich repeats with high sequence similarity were also the most abundant in the transcriptome, and these likely represent young elements that are most capable of amplification due to their ability to evade epigenetic silencing.
Authors
- Franco, Ana Luiza ;
- Gu, Wenjia ;
- Novák, Petr ;
- Leitch, Ilia ;
- Viccini, Lyderson ;
- Leitch, Andrew