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Supplementary material 5 from: Ceballos-Escalera A, Richards J, Arias MB, Inward DJG, Vogler AP (2022) Metabarcoding of insect-associated fungal communities: a comparison of internal transcribed spacer (ITS) and large-subunit (LSU) rRNA markers. MycoKeys 88: 1-33. https://doi.org/10.3897/mycokeys.88.77106
Table S1. Accession numbers corresponding with the reference sequences used to build the phylogenetic trees
Supplementary material 3 from: Ceballos-Escalera A, Richards J, Arias MB, Inward DJG, Vogler AP (2022) Metabarcoding of insect-associated fungal communities: a comparison of internal transcribed spacer (ITS) and large-subunit (LSU) rRNA markers. MycoKeys 88: 1-33. https://doi.org/10.3897/mycokeys.88.77106
Figure S3. Maximum-likelihood tree constructed in IQ-Tree2 based on three-gene (LSU D1-D2, SSU, ITS2) reference sequence alignments and OTUs for both markers (clustering thresholds: 99% LSU D1-D2 and 98% ITS2)
Supplementary material 2 from: Ceballos-Escalera A, Richards J, Arias MB, Inward DJG, Vogler AP (2022) Metabarcoding of insect-associated fungal communities: a comparison of internal transcribed spacer (ITS) and large-subunit (LSU) rRNA markers. MycoKeys 88: 1-33. https://doi.org/10.3897/mycokeys.88.77106
Figure S2. Species accumulation curves of the OTUs generated from the ITS (panel right) and LSU (panel left) metabarcodes
Low-coverage whole-genome sequencing reveals molecular markers for spawning season and sex identification in Gulf of Maine Atlantic cod (Gadus morhua, Linnaeus 1758)
<p class="CxSpFirst">Atlantic cod (<i>Gadus morhua</i>,<i> </i>Linnaeus 1758) in the western Gulf of Maine are managed as a single stock despite several lines of evidence supporting two spawning groups (spring and winter) that overlap spatially, while exhibiting seasonal spawning isolation. Low-coverage whole genome sequencing was used to evaluate the genomic population structure of Atlantic cod spawning groups in the western Gulf of Maine and Georges Bank using 222 individuals collected over multiple years. Results indicated low total genomic differentiation, while also showing strong differentiation between spring and winter spawning groups at specific regions of the genome. Guided regularized random forest and ranked <i>F</i><sub>ST</sub> methods were used to select panels of single nucleotide polymorphisms (SNPs) that could reliably distinguish spring and winter-spawning Atlantic cod (88.5% assignment rate), as well as males and females (95.0% assignment rate) collected in the western Gulf of Maine. These SNP panels represent a valuable tool for fisheries research and management of Atlantic cod in the western Gulf of Maine that will aid investigations of stock production and support accuracy of future assessments.</p>
Effects of selenium supplementation on glycemic control markers in healthy rodents: a systematic review protocol
<table> <tbody> <tr> <td> <p>Dataset of reports obtained in the initial search of a systematic review on the effect of selenium supplementation on glycemic control.</p> </td> </tr> </tbody> </table>
FIGURE. (A) Summary phylogeny showing relations between genera in tribe Phyllantheae from Bayesian and Maximum Likelihood analysis of five markers (ITS, PHYC, accD–psaI, trnS–trnG, matK), modified from Appendix 1. Classification is shown of genera (right column), subgenera (middle column) and sections (except for the genus Phyllanthus. Sections not included in phylogenetic analyses and those for the genus Flueggea were omitted. (B) summary phylogeny of the genus Phyllanthus as envisioned here with subgenera and sections of groups included in phylogenetic studies shown. in A revised phylogenetic classification of tribe Phyllantheae (Phyllanthaceae)
FIGURE. (A) Summary phylogeny showing relations between genera in tribe Phyllantheae from Bayesian and Maximum Likelihood analysis of five markers (ITS, PHYC, accD–psaI, trnS–trnG, matK), modified from Appendix 1. Classification is shown of genera (right column), subgenera (middle column) and sections (except for the genus Phyllanthus. Sections not included in phylogenetic analyses and those for the genus Flueggea were omitted. (B) summary phylogeny of the genus Phyllanthus as envisioned here with subgenera and sections of groups included in phylogenetic studies shown.
FIGURE 4 in Comparative study and genetic diversity of Salicornia persica (Chenopodiaceae) using SCOT molecular markers
FIGURE 4. PCA plot of Salicornia persica populations based on morphological characters. Numbers are according to Table 1.
FIGURE 3 in Comparative study and genetic diversity of Salicornia persica (Chenopodiaceae) using SCOT molecular markers
FIGURE 3. PCoA plot of populations in Salicornia persica based on SCoT molecular markers, (Population numbers are according to Table 1.)
FIGURE 2 in Comparative study and genetic diversity of Salicornia persica (Chenopodiaceae) using SCOT molecular markers
FIGURE 2. WARD tree of populations in Salicornia persica based on SCoT molecular markers, (Population numbers are according to Table 1.)
Preoperative localisation of nonpalpable breast lesions using magnetic markers in a tertiary cancer centre
<p>I uploaded the images of the manuscript: Preoperative localisation of nonpalpable breast lesions using magnetic markers in a tertiary cancer centre.</p>
Systematics of Lepidothrix manakins (Aves: Passeriformes: Pipridae) using RADcap markers
<p>Although recent molecular phylogenetic analyses of<b> </b><em>Lepidothrix</em> manakins (family Pipridae) have helped clarify their evolutionary relationships, the placement of several lineages remains in question because of low or conflicting branch support. In particular, the relationship of <em>L. coronata</em> to other members of the genus and relationships within the <em>L. nattereri</em>+<em>L. vilasboasi</em>+<em>L. iris</em> clade have been difficult to resolve. We used RADcap to collect restriction site-associated DNA sequence data and estimate the first subspecies-level phylogeny of the genus <em>Lepidothrix</em> (17 of 18 currently recognized subspecies), and we included extensive geographic representation of the widespread and phenotypically variable <em>L. coronata</em>. We found strong support for the phylogenetic position and monophyly of <em>L. coronata</em>, and we resolved two clades separated by the Andes that, along with previous divergence time estimates and our assessment of morphological and vocal evidence, suggest the presence of two biological species: Velvety Manakin (<em>L. velutina</em>) west of the Andes and Blue-capped Manakin (<em>L. coronata</em>) east of the Andes. Species-level relationships within the <em>L. nattereri+L. vilasboasi+L. iris</em> clade remained poorly resolved in concatenated and coalescent-based analyses, with SNAPP analyses suggesting that the lack of reciprocal monophyly is due to extensive allele sharing among these taxa. Finally, we confirmed a previously documented hybrid between <em>L. coronata</em> and <em>L. suavissima</em> as an F1 individual, consistent with the view that hybridization between these two species is a rare event and that postmating reproductive barriers prevent successful backcrossing.</p>
Data from: Estimating relatedness and inbreeding using molecular markers and pedigrees: the effect of demographic history
Estimates of inbreeding and relatedness are commonly calculated using molecular markers, although the accuracy of such estimates has been questioned. As a further complication, in many situations, such estimates are required in populations with reduced genetic diversity, which is likely to affect their accuracy. We investigated the correlation between microsatellite- and pedigree-based coefficients of inbreeding and relatedness in laboratory populations of Drosophila melanogaster that had passed through bottlenecks to manipulate their genetic diversity. We also used simulations to predict expected correlations between marker- and pedigree-based estimates and to investigate the influence of linkage between loci and null alleles. Our empirical data showed lower correlations between marker- and pedigree-based estimates in our control (nonbottleneck) population than were predicted by our simulations or those found in similar studies. Correlations were weaker in bottleneck populations, confirming that extreme reductions in diversity can compromise the ability of molecular estimates to detect recent inbreeding events. However, this result was highly dependent on the strength of the bottleneck and we did not observe or predict any reduction in correlations in our population that went through a relatively severe bottleneck of N = 10 for one generation. Our results are therefore encouraging, as molecular estimates appeared robust to quite severe reductions in genetic diversity. It should also be remembered that pedigree-based estimates may not capture realized identity-by-decent and that marker-based estimates may actually be more useful in certain situations.
Genetic admixture and population structure analysis of Indian water buffaloes (Bubalus bubalis) using STR markers
<p><span>We generated genetic diversity data for 10 different buffalo populations of India using 20 highly polymorphic microsatellite markers. The buffalo populations of Odisha were the primary focus, viz. Chilika, Paralakhemundi, Kalahandi, Sambhalpuri, and Manda. The total observed number of alleles ranged between 143 (Manda) and 301 (Paralakhemundi) with an average of 204 alleles per breed. The minimal spanning network based on Bruvo's distance, PCA based on the Fst values, and genetic admixture analysis using both the STRUCTURE and 'snapclust' could identify the Manda population distinct from other Odisha buffalo breeds as well as Chhattisgarhi buffalo breed. The Sambhalpuri buffalo population also clustered into two separate subpopulations, half of the unique sub-population located geographically south-wards displayed no admixture with any of the adjacent buffalo populations. The Sambhalpuri population requires elaborate analysis to confirm the existence of two distinct sub-populations and if they could be recognized as separate breeds. The limited number of sires in the Manda population has resulted in excess of heterozygosity. Furthermore, the Manda population is left with very little allelic richness and this poses a huge threat to the population's existence. In another way, the study has led to the identification of the Manda buffalo as a distinct population, and the germplasm has been registered based on the study.</span></p>
FIGURE 4 in Population Structure and Genetic Diversity in Delphinium (Ranunculaceae) Using Scot Molecular Markers
FIGURE 4: WARD tree of SCoT data revealing species delimitation in the Delphinium sp1= D. teheranicum; sp2= D. camptocarpum; sp3= D. lorestanicum; sp4= D. leptocarpum; sp5= D. persicum; sp 6= D. aucheri; sp7= D. anthoroideum; sp8= D. hohenackeri; sp9= D. stocksianum; sp10: D. rugulosum; sp11: D. ambiguum; sp12= D. ajacis; sp13= D. consolida; sp14= D. oliverianum; sp15= D. flavum; sp16= D. trigonelloides; sp17= D. oliganthum; sp18= D. linarioides; sp19= D. paradoxum.
FIGURE. 3 in Population Structure and Genetic Diversity in Delphinium (Ranunculaceae) Using Scot Molecular Markers
FIGURE. 3. Electrophoresis gel of studied ecotypes from DNA fragments produced by SCoT-15. sp1= D. teheranicum; sp2= D. camptocarpum; sp3= D. lorestanicum; sp4= D. leptocarpum; sp5= D. persicum; sp 6= D. aucheri; sp7= D. anthoroideum; sp8= D. hohenackeri; sp9= D. stocksianum; sp10: D. rugulosum; sp11: D. ambiguum; sp12= D. ajacis; sp13= D. consolida; sp14= D. oliverianum; sp15= D. flavum; sp16= D. trigonelloides; sp17= D. oliganthum; sp18= D. linarioides; sp19= D. paradoxum. L = Ladder 100 bp,
FIGURE 2 in Population Structure and Genetic Diversity in Delphinium (Ranunculaceae) Using Scot Molecular Markers
FIGURE 2: PCA plot of morphological characters revealing species delimitation in the Delphinium species; sp1= D. teheranicum; sp2= D. camptocarpum; sp3= D. lorestanicum; sp4= D. leptocarpum; sp5= D. persicum; sp 6= D. aucheri; sp7= D. anthoroideum; sp8= D. hohenackeri; sp9= D. stocksianum; sp10: D. rugulosum; sp11: D. ambiguum; sp12= D. ajacis; sp13= D. consolida; sp14= D. oliverianum; sp15= D. flavum; sp16= D. trigonelloides; sp17= D. oliganthum; sp18= D. linarioides; sp19= D. paradoxum.
FIGURE. 1 in Population Structure and Genetic Diversity in Delphinium (Ranunculaceae) Using Scot Molecular Markers
FIGURE. 1. Map of Iran shows the collection sites and provinces where Delphinium species were obtained for this study; sp1= D. teheranicum; sp2= D. camptocarpum; sp3= D. lorestanicum; sp4= D. leptocarpum; sp5= D. persicum; sp 6= D. aucheri; sp7= D. anthoroideum; sp8= D. hohenackeri; sp9= D. stocksianum; sp10: D. rugulosum; sp11: D. ambiguum; sp12= D. ajacis; sp13= D. consolida
Supplement DataLongitudinal metabolomics and lipidomics analyses reveal markers of envenoming by Bothrops asper and Daboia russelii in an experimental murine model
<p>Longitudinal metablolomic and lipidomics analyses were carried out on the blood plasma of mice injected with venoms of the viperid species Northrop's asper and Daboia russelii.</p>
Large-scale human tissue analysis identifies Uroplakin 3B as a useful diagnostic marker for mesothelioma and normal meso-thelial cells
<p><strong>Supplement Figure 1:</strong> IHC validation by comparison of antibodies. Using MSVA-736M, an apical membranous Upk3b positivity is seen in mesothelial cells covering an appendix (A), amnion cells of a placenta (B), and umbrella cells of the renal pelvis urothelium (C), while staining is absent in adrenal gland (D). Using clone C362, a similar membranous staining is seen in mesothelial cells of the appendix (E), amnion cells (F), and urothelial umbrella cells (G) despite of a higher level of background staining. Clone C362 results in a significant nuclear staining of adrenocortical cells (H) which was not seen by MSVA-736M.</p>
Predicting the secondary metabolic potential of microbiomes from marker genes using PSMPA
<p>Supplementary data for the paper <strong>Predicting the secondary metabolic potential of microbiomes </strong><strong>from marker genes using PSMPA</strong>.</p>
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Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.