This dataset includes the 2024 Wushi earthquake catalogs after absolute location and relative location, the earthquake focal mechanisms, and the used seismic-reflection profiles that support the paper "Interlacing ruptures of the 2024 Wushi earthquake (Chinese Tian Shan) controlled by structural inheritance".

This dataset includes the 2024 Wushi earthquake catalogs after absolute location and relative location, the earthquake focal mechanisms, and the used seismic-reflection profiles that support the paper "Interlacing ruptures of the 2024 Wushi earthquake (Chinese Tian Shan) controlled by structural inheritance".

This dataset includes the 2024 Wushi earthquake catalogs after absolute location and relative location, the earthquake focal mechanisms, and the used seismic-reflection profiles that support the paper "Interlacing ruptures of the 2024 Wushi earthquake (Chinese Tian Shan) controlled by structural inheritance".

This dataset includes the 2024 Wushi earthquake catalogs after absolute location and relative location, the earthquake focal mechanisms, and the used seismic-reflection profiles that support the paper "Interlacing ruptures of the 2024 Wushi earthquake (Chinese Tian Shan) controlled by structural inheritance".

<b>Abstract</b><br/>Premise of the study: Understanding fern (monilophyte) phylogeny and its evolutionary timescale is critical for broad investigations of the evolution of land plants, and for providing the point of comparison necessary for studying the evolution of the fern sister group, seed plants. Molecular phylogenetic investigations have revolutionized our understanding of fern phylogeny, however, to date, these studies have relied almost exclusively on plastid data. Methods: Here we take a curated phylogenomics approach to infer the first broad fern phylogeny from multiple nuclear loci, by combining broad taxon sampling (73 ferns and 12 outgroup species) with focused character sampling (25 loci comprising 35877 bp), along with rigorous alignment, orthology inference and model selection. Key results: Our phylogeny corroborates some earlier inferences and provides novel insights; in particular, we find strong support for Equisetales as sister to the rest of ferns, Marattiales as sister to leptosporangiate ferns, and Dennstaedtiaceae as sister to the eupolypods. Our divergence-time analyses reveal that divergences among the extant fern orders all occurred prior to ∼200 MYA. Finally, our species-tree inferences are congruent with analyses of concatenated data, but generally with lower support. Those cases where species-tree support values are higher than expected involve relationships that have been supported by smaller plastid datasets, suggesting that deep coalescence may be reducing support from the concatenated nuclear data. Conclusions: Our study demonstrates the utility of a curated phylogenomics approach to inferring fern phylogeny, and highlights the need to consider underlying data characteristics, along with data quantity, in phylogenetic studies.

No description available

Source codes for Dimnp. (RAR 406Â kb)

Source codes for Dimnp. (RAR 406Â kb)

Data of differential nucleosome regions (DNRs) identified by Dimnp for yeast chromosome 1 in two sets of multiple-cell type comparison. One is for H4WT, H4R3A and H4K20A; the other is H4K5A, H4K20A, H4K91A and H4K16A. (XLS 86Â kb)

Rhodiola crenulata, one of the well-known Tibetan medicinal herb, is mainly grown in high-altitude regions of Tibet, Yunnan and Sichuan provinces in China. In the past few years, increasing published studies on pharmacological activities of R. crenulata, have strengthened our understanding into its active ingredient composition, pharmacological activity and mechanism of action. The findings also provided strong evidences supporting the important medicinal and economical values of R. crenulata. Meanwhile, some Rhodiola species are becoming endangered because of overexploitation and environmental destruction. However, little is known about the genetic and genomic information of any Rhodiola species.
Here, we reported the first draft assembly of R. crenulata genome, which was 344.5 Mb (25.7Mb Ns), accounting for 82% of the estimated genome size, with the scaffold N50 length of 144.7 kb and the contig N50 length of 25.4 kb. The R. crenulata genome was not only highly heterozygous but also highly repetitive with ratios of 1.12% and 66.15%, respectively, based on the k-mer analysis. Furthermore, 226.6 Mb transposable elements were detected, of which 77.03% were long terminal repeats. In total, 31,517 protein-coding genes were identified, capturing 86.72% of expected plant genes in BUSCO. Additionally, 79.73% of protein-coding genes were functionally annotated.
R. crenulata is an important medicinal plant and also a potentially interesting model species for studying the adaptability of Rhodiola species to extreme environments. The genomic sequences of R. crenulata will be useful for understanding the evolutionary mechanism of stress resistance gene and biosynthesis pathways of the different medicinal ingredients for example, salidroside, in R. crenulata.