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Fig. 5 in Fig. 4 in Identification of Sexually Dimorphic Genes in Pectoral Fin as Molecular Markers for Assessing the Sex of Japanese Silver Eels ().

Fig. 5. The body weight of giant mottled eel reared in different light spectra for 12 weeks. W: white light; Black: dark; B: blue light; G: green light; R: red light. Different letters indicate significant differences between groups of the same week (p <0.05).

Fig. 3 in Fig. 4 in Identification of Sexually Dimorphic Genes in Pectoral Fin as Molecular Markers for Assessing the Sex of Japanese Silver Eels ().

Fig. 3. The body weight of Japanese eel reared in different light spectra for 12 weeks. W: white light; Black: dark; B: blue light; G: green light; R: red light.

Fig. 2 in Fig. 4 in Identification of Sexually Dimorphic Genes in Pectoral Fin as Molecular Markers for Assessing the Sex of Japanese Silver Eels ().

Fig. 2. The total length of Japanese eel reared in different light spectra for 12 weeks. W: white light; Black: dark; B: blue light; G: green light; R: red light.

Fig. 4 in Fig. 4 in Identification of Sexually Dimorphic Genes in Pectoral Fin as Molecular Markers for Assessing the Sex of Japanese Silver Eels ().

Fig. 4. The total length of giant mottled eel reared in different light spectra for 12 weeks. W: white light; Black: dark; B: blue light; G: green light; R: red light. Different letters indicate significant differences between groups of the same week (p <0.05).

Fig. 1 in Fig. 4 in Identification of Sexually Dimorphic Genes in Pectoral Fin as Molecular Markers for Assessing the Sex of Japanese Silver Eels ().

Fig. 1. Graph of a set of recirculating aquaculture systems (RAS) used in this study. The five tanks were each 40 L in volume and covered by a black board. W: white light; R: red light (622 nm); G: green light (517 nm); B: blue light (467 nm).

Fig. 9 in Fig. 4 in Identification of Sexually Dimorphic Genes in Pectoral Fin as Molecular Markers for Assessing the Sex of Japanese Silver Eels ().

Fig. 9. The POD expression levels of Japanese eel and giant mottled eel reared in different spectra. W: white light; B: blue light; G: green light; R: red light; black: dark. Different letters indicate significant differences between different spectra groups of the same eel species (p <0.05).

Fig. 4 in Identification of Sexually Dimorphic Genes in Pectoral Fin as Molecular Markers for Assessing the Sex of Japanese Silver Eels ().

Fig. 4. Comparisons of ΔCT values of LOC111853410, kera, and dcn between the "S-Female" (n = 7, four repeats) and "S-Male" (n = 5, four repeats) groups for assessing the threshold for sex typing. (A) LOC111853410, (B) kera, (C) dcn. A solid black circle represented one ΔCT value. The "S-Female" meant the female silver eels, and the "S-Male" meant the male silver eels. For each gene, there were 28 and 20 solid black circles in the "S-Female" group and the "S-Male" group, respectively. The solid red line meant the inferred threshold of ΔCT for sex typing.

Fig. 3 in Identification of Sexually Dimorphic Genes in Pectoral Fin as Molecular Markers for Assessing the Sex of Japanese Silver Eels ().

Fig. 3. Comparisons of relative expression levels of four genes possibly higher expressed in the pectoral fins of male silver eels between the "S-Female" (n = 7, four repeats) and "S-Male" (n = 5, four repeats) groups. (A) kera, (B) dcn, (C) cited1, (D) LOC104575574. The arp was a housekeeping gene, and two female samples (F1 and F2) were used as the internal control for calculating relative expression levels. The y-axis was in log2 scale. The "S-Female" meant the female silver eels, and the "S-Male" meant the male silver eels. The solid black line represented the median value, and the solid black circle represented the outliers. Asterisks indicated significant differences (**P <0.01, ***P <0.001) in relative expression levels between two groups.

Fig. 2 in Identification of Sexually Dimorphic Genes in Pectoral Fin as Molecular Markers for Assessing the Sex of Japanese Silver Eels ().

Fig. 2. Comparisons of relative expression levels of six genes possibly higher expressed in the pectoral fins of female silver eels between the "S-Female" (n = 7, four repeats) and "S-Male" (n = 5, four repeats) groups. (A) LOC108249696, (B) LOC110515957, (C) egr3, (D) cipc, (E) LOC111853410, (F) cttn. The arp was a housekeeping gene, and two female samples (F1 and F2) were used as the internal control for calculating relative expression levels. The y-axis was in log2 scale. The "S-Female" meant the female silver eels, and the "S-Male" meant the male silver eels. The solid black line represented the median value, and the solid black circle represented the outliers. Asterisks indicated significant differences (**P <0.01, ***P <0.001) in relative expression levels between two groups.

Fig. 1 in Identification of Sexually Dimorphic Genes in Pectoral Fin as Molecular Markers for Assessing the Sex of Japanese Silver Eels ().

Fig. 1. Scheme of the MOLAS database for the Japanese eel. Annotated information of the assembled transcripts, including DNA sequence, amino acids sequence, open reading frames, signal peptides, transmembrane domains, gene ontology, hit KEGG pathway, and FPKM values, can be searched by the names of genes or the transcript ID in the Full-text search. A sequence of DNA can also be used to find the transcript with high similarity through the Sequence Search/BLAST. Moreover, the Pairwise Comparison can compare the differences in expression levels of the transcripts between two different libraries or two library groups, and then the differentially expressed genes can be summarized to a gene list. Furthermore, the Import Genelist can analyze the protein function, gene ontology enrichment, heatmap of expression, and hit terms on a KEGG pathway for a gene list. Additionally, the Clustering can be used to categorize the expressional patterns of transcripts between two different libraries or two library groups. Finally, the KEGG GlobalView and Gene List Analysis can see the hit terms of transcripts on the map of KEGG pathway and compare the different gene lists by Venn diagrams, respectively.

opencc-by-4.0Oct 2021View details →

Low molecular weight seaweed–derived polysaccharides lead to increased faecal bulk but do not alter human gut health markers

Differential analysis of taxa before and after the consumption of either agar, alginate or maltodextrin showed no significant change at phylum or family level (Supplementary tables 1-2).   Supplementary Table 1: Differential abundance analysis with ALDEX2 on family level Supplementary Table 2: Differential abundance analysis with ALDEX2 on phylum level

zenodo36/100

T a b l e 4 in Molecular Characterization Of Lates Niloticus (Perciformes, Latidae) Populations From Three Nigerian Waterbodies Using Random Amplified Polymorphic Dna And Microsatellite Markers

T a b l e 4. Microsatellites results

opencc-by-4.0Jan 2017View details →

zenodo36/100

Molecular markers for taxonomic validation of 7 deep water invertebrate animals

File 1: MolecularBarcodeSeqs_forValidation.fasta Molecular markers extracted from transcriptome assemblies for validation of animal taxonomic identification. Files 2-4: 2022-03-29-01_JAB_FALKOR_RNA_1, 2022-03-29-01_JAB_FALKOR_RNA_2, 2022-03-29-01_JAB_FALKOR_RNA_2. TapeStation data for total RNA quality assessment. Identifiers in the Sample Description column are linked to identifiers in the published table, Table 2. RNA and sequence statistics for each specimen, from the manuscript: Transcriptome sequencing of seven deep marine invertebrates

opencc-by-4.0Jun 2024View details →

opencc-zeroFeb 2023View details →

A range-wide postglacial history of Swiss stone pine based on molecular markers and palaeoecological evidence

Aim: Knowing a species' response to historical climate shifts helps understanding its perspectives under global warming. We infer the hitherto unresolved postglacial history of Pinus cembra. Using independent evidence from genetic structure and demographic inference of extant populations, and from palaeoecological findings, we derive putative refugia and re-colonisation routes. Location: European Alps and Carpathians. Taxa: Pinus cembra. Methods: We genotyped nuclear and chloroplast microsatellite markers in nearly 3,000 individuals from 147 locations across the entire natural range of P. cembra. Spatial genetic structure (Bayesian modelling) and demographic history (Approximate Bayesian Computation) were combined with palaeobotanical records (pollen, macrofossils) to infer putative refugial areas during the Last Glacial Maximum (LGM) and re-colonisation of the current range. Results: We found distinct spatial genetic structure, despite low genetic differentiation even between the two disjunct mountain ranges. Nuclear markers revealed five genetic clusters aligned East–West across the range, while chloroplast haplotype distribution suggested nine clusters. Spatially congruent separation at both marker types highlighted two main genetic lineages in the East and West of the range. Demographic inference supported early separation of these lineages dating back to a previous interstadial or interglacial c. 210,000 years ago. Differentiation into five biologically meaningful genetic clusters likely established during post-glacial re-colonisation. Main conclusions: Combining genetic and palaeoecological evidence suggests that P. cembra primarily survived the LGM in "cold period" refugia south of the Central European Alps and near the Carpathians, from where it expanded during the Late Glacial into its current Holocene "warm period" refugia. This colonisation history has led to the distinct East–West structure of five genetic clusters. The two main genetic lineages likely derived from ancient divergence during an interglacial or interstadial. The respective contact zone (Brenner line) matches a main biogeographic break in the European Alps also found in herbaceous alpine plant species.

ClinicalTrials.gov36/100

Early Switch From First-Line Docetaxel/Prednisone to Cabazitaxel/Prednisone and the Opposite Sequence, Exploring Molecular Markers in Men With Metastatic Castration-Resistant Prostate Cancer (mCRPC)

ClinicalTrials.gov study NCT01718353. IPD Sharing: Not stated. Countries: 2. Publications: 2.

restrictedIPD-UNDECIDEDFeb 2026View details →

ClinicalTrials.gov36/100

Evaluation of Molecular Markers in Adrenal Tumors

ClinicalTrials.gov study NCT01348698. IPD Sharing: NO. Countries: 1. Publications: 3.

closedIPD-NOFeb 2026View details →

publicFeb 2023View details →

A range-wide postglacial history of Swiss stone pine based on molecular markers and palaeoecological evidence

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publicAug 2025View details →

Data from: Comparative patterns of temporal decay and detectability of eDNA and eRNA across molecular markers in connected and isolated freshwater mesocosms using digital PCR

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