Skip to main content
Powered by ShareScore

Find research datasets worth reusing

Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.

78

datasets available to search

ShareScore release 0.9.0

Reset

Dataset results

78 results for “Horizontal transfer”

Learn how ShareScore rates datasets ↗
dryad28/100

Data from: Horizontal transfer of an adaptive chimeric photoreceptor from bryophytes to ferns

Ferns are well known for their shade-dwelling habits. Their ability to thrive under low-light conditions has been linked to the evolution of a novel chimeric photoreceptor—neochrome—that fuses red-sensing phytochrome and blue-sensing phototropin modules into a single gene, thereby optimizing phototropic responses. Despite being implicated in facilitating the diversification of modern ferns, the origin of neochrome has remained a mystery. We present evidence for neochrome in hornworts (a bryophyte lineage) and demonstrate that ferns acquired neochrome from hornworts via horizontal gene transfer (HGT). Fern neochromes are nested within hornwort neochromes in our large-scale phylogenetic reconstructions of phototropin and phytochrome gene families. Divergence date estimates further support the HGT hypothesis, with fern and hornwort neochromes diverging 179 Mya, long after the split between the two plant lineages (at least 400 Mya). By analyzing the draft genome of the hornwort Anthoceros punctatus, we also discovered a previously unidentified phototropin gene that likely represents the ancestral lineage of the neochrome phototropin module. Thus, a neochrome originating in hornworts was transferred horizontally to ferns, where it may have played a significant role in the diversification of modern ferns.

opencc-zeroDec 2013View details →
dryad28/100

Data from: Evolution of stress-induced mutagenesis in the presence of horizontal gene transfer

Stress-induced mutagenesis has been observed in multiple species of bacteria and yeast. It has been suggested that in asexual populations, a mutator allele that increases the mutation rate during stress can sweep to fixation with the beneficial mutations it generates. However, even asexual microbes can undergo horizontal gene transfer and rare recombination, which typically interfere with the spread of mutator alleles. Here we examine the effect of horizontal gene transfer on the evolutionary advantage of stress-induced mutator alleles. Our results demonstrate that stress-induced mutator alleles are favored by selection even in the presence of horizontal gene transfer, and more so when the mutator alleles also increase the horizontal gene transfer rate. We suggest that when regulated by stress, mutation and horizontal gene transfer can be complementary, rather than competing, adaptive strategies, and that stress-induced mutagenesis has important implications for evolutionary biology, ecology, and epidemiology, even in the presence of horizontal gene transfer and rare recombination.

opencc-zeroDec 2018View details →
dryad28/100

Data from: Population genomics reveals additive and replacing horizontal gene transfers in the emerging pathogen Dickeya solani

Background: Dickeya solani is an emerging pathogen that causes soft rot and blackleg diseases in several crops including Solanum tuberosum, but little is known about its genomic diversity and evolution. Results: We combined Illumina and PacBio technologies to complete the genome sequence of D. solani strain 3337 that was used as a reference to compare with 19 other genomes (including that of the type strain IPO2222 T ) which were generated by Illumina technology. This population genomic analysis highlighted an unexpected variability among D. solani isolates since it led to the characterization of two distinct sub-groups within the D. solani species. This approach also revealed different types of variations such as scattered SNP/InDel variations as well as replacing and additive horizontal gene transfers (HGT). Infra-species (between the two D. solani sub-groups) and inter-species (between D. solani and D. dianthicola) replacing HGTs were observed. Finally, this work pointed that genetic and functional variation in the motility trait could contribute to aggressiveness variability in D. solani. Conclusions: This work revealed that D. solani genomic variability may be caused by SNPs/InDels as well as replacing and additive HGT events, including plasmid acquisition; hence the D. solani genomes are more dynamic than that were previously proposed. This work alerts on precautions in molecular diagnosis of this emerging pathogen.

opencc-zeroDec 2014View details →
dryad28/100

Data from: Horizontal gene transfer and genome evolution in Methanosarcina

Background: Genomes of Methanosarcina spp. are among the largest archaeal genomes. One suggested reason for that is massive horizontal gene transfer (HGT) from bacteria. Genes of bacterial origin may be involved in the central metabolism and solute transport, in particular sugar synthesis, sulfur metabolism, phosphate metabolism, DNA repair, transport of small molecules etc. Horizontally transferred (HT) genes are considered to play the key role in the ability of Methanosarcina spp. to inhabit diverse environments. At the moment, genomes of three Methanosarcina spp. have been sequenced, and while these genomes vary in length and number of protein-coding genes, they all have been shown to accumulate HT genes. However, previous estimates had been made when fewer archaeal genomes were known. Moreover, several Methanosarcinaceae genomes from other genera have been sequenced recently. Here, we revise the census of genes of bacterial origin in Methanosarcinaceae. Results: About 5 % of Methanosarcina genes have been shown to be horizontally transferred from various bacterial groups to the last common ancestor either of Methanosarcinaceae, or Methanosarcina, or later in the evolution. Simulation of the composition of the NCBI protein non-redundant database for different years demonstrates that the estimates of the HGT rate have decreased drastically since 2002, the year of publication of the first Methanosarcina genome. The phylogenetic distribution of HT gene donors is non-uniform. Most HT genes were transferred from Firmicutes and Proteobacteria, while no HGT events from Actinobacteria to the common ancestor of Methanosarcinaceae were found. About 50 % of HT genes are involved in metabolism. Horizontal transfer of transcription factors is not common, while 46 % of horizontally transferred genes have demonstrated differential expression in a variety of conditions. HGT of complete operons is relatively infrequent and half of HT genes do not belong to operons. Conclusions: While genes of bacterial origin are still more frequent in Methanosarcinaceae than in other Archaea, most HGT events described earlier as Methanosarcina-specific seem to have occurred before the divergence of Methanosarcinaceae. Genes horizontally transferred from bacteria to archaea neither tend to be transferred with their regulators, nor in long operons.

opencc-zeroDec 2014View details →
dryad28/100

Data from: Plasmid and clonal interference during post-horizontal gene transfer evolution

Plasmids are nucleic acid molecules that can drive their own replication in a living cell. They can be transmitted horizontally and can thrive in the host cell to high copy numbers. Plasmid replication and gene expression consume cellular resources and cells carrying plasmids incur fitness costs. But many plasmids carry genes that can be beneficial under certain conditions, allowing the cell to endure in the presence of antibiotics, toxins, competitors or parasites. Horizontal transfer of plasmid-encoded genes can thus instantaneously confer differential adaptation to local or transient selection conditions. This conflict between cellular fitness and plasmid spread sets the scene for multilevel selection processes. We have engineered a system to study the short term evolutionary impact of different synonymous versions of a plasmid-encoded antibiotic resistance gene. Applying experimental evolution under different selection conditions and deep sequencing allowed us to show rapid local adaptation to the presence of antibiotic and to the specific version of the resistance gene transferred. We describe the presence of clonal interference at two different levels: at the within-cell level, because a single cell can carry several plasmids, and at the between-cell level, because a bacterial population may contain several clones carrying different plasmids and displaying different fitness in the presence|absence of antibiotic. Understanding the within-cell and between-cell dynamics of plasmids after horizontal gene transfer is essential to unravel the dense network of mobile elements underlying the worldwide threat to public health of antibiotic resistance.

opencc-zeroDec 2016View details →
dryad28/100

Data from: Evolution of an insect immune barrier through horizontal gene transfer mediated by a parasitic wasp

Open the record for dataset details and reuse information.

publicMar 2019View details →
dryad28/100

Data from: Host-parasite coevolution favours parasite genetic diversity and horizontal gene transfer

Open the record for dataset details and reuse information.

publicApr 2013View details →
dryad28/100

Data from: Ecology determines how low antibiotic concentration impacts community composition and horizontal transfer of resistance genes

Open the record for dataset details and reuse information.

publicMar 2019View details →
dryad28/100

Data from: Evolution of stress-induced mutagenesis in the presence of horizontal gene transfer

Open the record for dataset details and reuse information.

publicFeb 2019View details →
dryad28/100

Data from: Plasmid and clonal interference during post-horizontal gene transfer evolution

Open the record for dataset details and reuse information.

publicFeb 2017View details →
dryad28/100

Litter commensal bacteria can limit the horizontal gene transfer of antimicrobial resistance to Salmonella in chickens

Open the record for dataset details and reuse information.

publicDec 2021View details →
dryad28/100

Data from: Horizontal transfer of an adaptive chimeric photoreceptor from bryophytes to ferns

Open the record for dataset details and reuse information.

publicMar 2015View details →
dryad28/100

Data from: Population genomics reveals additive and replacing horizontal gene transfers in the emerging pathogen Dickeya solani

Open the record for dataset details and reuse information.

publicSep 2016View details →
dryad28/100

Data from: Ancient horizontal gene transfer and the last common ancestors

Open the record for dataset details and reuse information.

publicApr 2015View details →
dryad28/100

Data from: Horizontal gene transfer and genome evolution in Methanosarcina

Open the record for dataset details and reuse information.

publicJun 2015View details →
dryad28/100

Data from: The genomes of polyextremophilic Cyanidiales contain 1% horizontally transferred genes with diverse adaptive functions

Open the record for dataset details and reuse information.

publicJun 2019View details →
dryad28/100

Data from: Horizontal transfer of facultative endosymbionts is limited by host relatedness

Open the record for dataset details and reuse information.

publicAug 2015View details →
geo24/100

Evolutionary barriers to horizontal gene transfer in macrophage associated Salmonella

GEO Series GSE223644. Salmonella enterica subsp. enterica serovar Typhimurium str. ST4/74. 18 samples. Type: Other.

openGEO-OpenJan 2023View details →
geo24/100

Noise in rpoS expression determines cellular permissiveness for horizontal transfer of an Integrative and Conjugative Element

GEO Series GSE35501. Pseudomonas knackmussii. 11 samples. Type: Expression profiling by array.

openGEO-OpenSep 2012View details →
geo24/100

An epigenetic switch activates bacterial quorum sensing and horizontal transfer of an integrative and conjugative element

GEO Series GSE189468. Mesorhizobium japonicum. 4 samples. Type: Expression profiling by high throughput sequencing.

openGEO-OpenNov 2021View details →

ScienceDex guides

Understand access before you commit

These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.

Compare curated datasets

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.

abode-home-cage
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