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285 results for “Reproduction isolation”

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Seminal Plasma-Derived Extracellular-Vesicle Fractions from HIV-Infected Men Exhibit Unique MicroRNA Signatures and Induce a Proinflammatory Response in Cells Isolated from the Female Reproductive Tra

GEO Series GSE152714. Homo sapiens. 30 samples. Type: Expression profiling by high throughput sequencing.

openGEO-OpenJun 2020View details →
zenodo20/100

Fig. 4 in Sex or no sex? Group I introns and independent marker genes reveal the existence of three sexual but reproductively isolated biospecies in Trichia varia (Myxomycetes)

Fig. 4 Simplified SSU phylogeny showing distribution of IC1 and IE class introns at position S956 in myxomycetes. Tree topology was derived from published SSU phylogenies (Fiore-Donno et al. 2010, 2012, 2013) and the tree presented in Supplementary Fig. S1 of this study. Trichia varia group 1 is represented by a specimen with an intron lacking an HEG; group 2a is represented by a specimen with a HEG-containing intron. Taxa printed in red and marked with "IC1" carry IC1 introns; those printed in blue and marked with "IE" carry IE introns. Nodes marked by dots received support of both Bayesian posterior probability>0.70 and bootstrap replicates>50 (Color figure online)

opennotspecifiedAug 2015View details →
zenodo20/100

Fig. 3 in Sex or no sex? Group I introns and independent marker genes reveal the existence of three sexual but reproductively isolated biospecies in Trichia varia (Myxomycetes)

Fig. 3 Intron types found in 66 specimens of Trichia varia at six insertion positions. For each of the phylogroups 1 and 2a, introns are drawn to scale as horizontal bars. White sections denote intron sequences and gray sections homing endonuclease genes. Red/solid and

opennotspecifiedAug 2015View details →
zenodo20/100

Figure 2 in Reproductive isolation and the causes of speciation rate variation in nature

Figure 2. Alternative species taxonomies can lead to radically different perspectives on species and speciation. A, time-calibrated phylogeny for stickleback fishes (Gasterosteidae) from Rabosky et al. (2013). Divergence times are broadly congruent with the known fossil history for the genus (Bell, Stewart & Park, 2009). B, hypothetical shape of the stickleback phylogeny if some of the numerous intraspecific morphological variants (open circles) within the threespine stickleback (Gasterosteus aculeatus) are elevated to full species status. Many freshwater stickleback populations are morphologically distinct from the marine ancestral form and potentially warrant recognition as distinct biological species (Moodie & Reimchen, 1976; Mcphail, 1994; Bell, 1995; Nelson, 2006; Reimchen et al., 2013); there are potentially dozens or hundreds of such forms. Bell (1995) suggests that, given the extent of morphological parallelism among divergent forms, '... it is neither practical nor useful to describe the biological species within the G. aculeatus complex as separate taxonomic species'. However, given that many such forms could be recognized as distinct taxonomic species, it is worth considering how their recognition would change our interpretation of speciation rates. Previous studies on speciation rates across fishes (Near et al., 2013; Rabosky et al., 2013) include only information from deep nodes (dark circles). However, recent divergences, almost all of which are no older than the most recent glacial maximum (arrow), are ignored by this approach. For the phylogeny in (A), the maximum likelihood estimate of the speciation rate under a constant-rate birth-death model (Nee et al., 1994) is 0.055 lineages Myr–1. For the phylogeny in (B), which assumes the presence of 30 biological species in 'Gasterosteus aculueatus', all of which have diverged within the past 30 000 years, we infer a speciation rate of 65.4 lineages Myr–1. The number of recently-diverged species spliced into the phylogeny shown in (B) is arbitrary, although it illustrates the profound effects that taxonomic decisions can have on inferences about speciation rate. Understanding the relationship between speciation as studied at population genetic scales (open circles) and macroevolutionary scales (dark circles) is one of the central challenges for the future of speciation research.

opennotspecifiedSep 2015View details →
geo16/100

Cis-regulatory divergence of eloF drives reproductive isolation in Drosophila

GEO Series GSE114478. Drosophila sechellia x Drosophila simulans. 8 samples. Type: Expression profiling by high throughput sequencing.

openGEO-OpenMay 2018View details →

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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.

allen-brain-atlas
neuroscienceopenDocumentation, web resources, and API references are available online.
Last verified 2026-04-30Open record

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.

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behavioral-neuroscienceopenThe DataShare record exposes download links for annotations, documentation, license text, and the zipped per-snippet data directory.
Last verified 2026-04-30Open record

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.

dandi-nwb
electrophysiologyopenPublished Dandiset metadata and archive endpoints are available through the production DANDI API.
Last verified 2026-04-30Open record

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.

ibl
behavioral-neuroscienceopenPublic sessions can be searched and loaded from the IBL public data server through ONE.
Last verified 2026-04-29Open record

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.

openneuro
neuroscienceopenPublished datasets are available on demand over the internet.
Last verified 2026-04-29Open record

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