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Figure 4 from: Gonella PM, Barbosa-Silva RG, Fleischmann AS, Zappi DC, Baleeiro PC, Andrino CO (2020) Hidden biodiversity of Amazonian white-sand ecosystems: two distinctive new species of Utricularia (Lentibulariaceae) from Pará, Brazil. PhytoKeys 169: 75-98. https://doi.org/10.3897/phytokeys.169.57626
Figure 4 Utricularia jaramacarua habit, in flower b base of plant with stolons with traps, rhizoids, leaves with traps, and peduncle base c leave with traps d utricle, side view e scale f base of the pedicel, and bract g flower, in anterior h flower, in posterior view i flower, in lateral view j upper lip of the corolla k stamens l pistil m fruit n seed. All based on the holotype. Illustrations by João Silveira.
Figure 2 from: Gonella PM, Barbosa-Silva RG, Fleischmann AS, Zappi DC, Baleeiro PC, Andrino CO (2020) Hidden biodiversity of Amazonian white-sand ecosystems: two distinctive new species of Utricularia (Lentibulariaceae) from Pará, Brazil. PhytoKeys 169: 75-98. https://doi.org/10.3897/phytokeys.169.57626
Figure 2 Utricularia arirambaa, b habit, in flower c base of plant with stolons, rhizoids, and peduncle base d part of stolon, with rhizoids, and leaves with traps e utricle, side view f scale g, h flower of the white morphotype in anterior (g) and side (h) view i, j flower of the lavender morphotype in anterior (i) and side (j) view k flower of the white morphotype in posterior view l upper lip of the corolla, androecium, and gynoecium m stamen n pistil a, c–h, k–n based on the holotype; b, i, j based on C.O. Andrino 560. Illustrations by João Silveira.
Effect of B-site co-substitution on the structure and magnetic properties of nanocrystalline neodymium orthoferrite synthesized by auto-combustion
<p><span>Samples of cobalt-doped neodymium orthoferrite compounds, NdCo<sub>x</sub>Fe<sub>1-x</sub>O<sub>3</sub> (0.0 ≤ x ≤ 0.5) were synthesized via glycine auto-combustion between 250 – 300 °C and calcined at 500 °C for two hours. X-ray diffraction showed that all compounds had an orthorhombic perovskite structure with space group Pbnm. Increasing cobalt doping gradually reduced the lattice parameters and contracted the unit cell volume. Both X-ray diffraction and Scanning Electron Microscopy showed that the particles were spherical and in the nano-sized range (19 – 52 nm) with pores between grains. Vibrating sample magnetometry at room temperature indicated that NdFeO<sub>3</sub> has high coercive field (1950 Oe) and cobalt substitution for iron led to a decrease in the coercive field, saturation and remanent magnetization which was as a result of decreased magnetic moments in the crystal and reduced canting of the FeO<sub>6</sub> octahedra. The increase in magnetization and coercive fields with increase Co was connected to the microstructure (bond lengths and angles, defects, pores, grain boundaries) and crystallite size. The compounds NdCo<sub>x</sub>Fe<sub>1-x</sub>O<sub>3</sub> show antiferromagnetism with weak ferromagnetism due to uncompensated noncollinear moments. These compounds could serve as prototypes for tuning the properties of magnetic materials (ferromagnetic and antiferromagnetic) with potential applications in data storage, logic gates, switches and sensors. </span></p>
Synthesis, characterization and CO2 adsorption studies of DABCO based pillared Zn-BDC and Co-BDC metal organic frameworks
<p><span>This study focuses on pre-synthetic functionalized MOF material normally known as pillared layer MOFs. An additional component DABCO (1,4-diazabicyclo[2.2.2] octane) is added to the MOFs which works as a pillar to produce 3d structured MOFs. Zn-BDC-DABCO and Co-BDC-DABCO were studied for their performance in CO<sub>2</sub> capture application. The addition of DABCO turns the 2d-layered metal-BDC lattice to a 3d structure with enhance performance for CO<sub>2</sub> capture. The MOFs were characterized using XRD, SEM, TGA, FTIR and BET and the CO<sub>2</sub> capture capacity was tested at 25</span><span>°C and 0-25 bar. Zn-BDC-DABCO and Co-BDC-DABCO showed a maximum adsorption capacity of 6.3 and 4.4 mol/kg CO<sub>2</sub>.</span></p>
Figure 4 from: Wang C, Wang H, Kuang X, Guo G (2021) Life stages and morphological variations of Limnocythere inopinata (Crustacea, Ostracoda) from Lake Jiang-Co (northern Tibet): a bioculture experiment. ZooKeys 1011: 25-40. https://doi.org/10.3897/zookeys.1011.56065
Figure 4 SEM photographs of L. inopinata describing carapace morphological features of different developmental stage. All the left valves are from indoor bioculture. The red parts of the instars A-6 to A-3 represent the marginal denticles.
Supplementary material 1 from: Wang C, Wang H, Kuang X, Guo G (2021) Life stages and morphological variations of Limnocythere inopinata (Crustacea, Ostracoda) from Lake Jiang-Co (northern Tibet): a bioculture experiment. ZooKeys 1011: 25-40. https://doi.org/10.3897/zookeys.1011.56065
Figure S1
Figure 5 from: Wang C, Wang H, Kuang X, Guo G (2021) Life stages and morphological variations of Limnocythere inopinata (Crustacea, Ostracoda) from Lake Jiang-Co (northern Tibet): a bioculture experiment. ZooKeys 1011: 25-40. https://doi.org/10.3897/zookeys.1011.56065
Figure 5 Appendage morphology of L. inopinata, adult female A antennule B antenna C mandible D maxilla E first thoracopod F second thoracopod G third thoracopod H uropodal rami.
Figure 3 from: Wang C, Wang H, Kuang X, Guo G (2021) Life stages and morphological variations of Limnocythere inopinata (Crustacea, Ostracoda) from Lake Jiang-Co (northern Tibet): a bioculture experiment. ZooKeys 1011: 25-40. https://doi.org/10.3897/zookeys.1011.56065
Figure 3 A Locations of Lake Jiang-Co and Lake Dali B scatter plot with mean value of KL of L. inopinata populations from A-8 stage to adult in Lake Jiang-Co and Lake Dali (Zhai et al. 2015). The rounded dot and triangle represent the growth ratio between adjacent instars C comparison between KL of L. inopinata populations from A-8 stage to adult in Lake Jiang-Co and Lake Dali (Zhai et al. 2015). The grey dotted lines suggest a growth ratio of 1.26, the value predicted by Brooks' rule.
Figure 2 from: Wang C, Wang H, Kuang X, Guo G (2021) Life stages and morphological variations of Limnocythere inopinata (Crustacea, Ostracoda) from Lake Jiang-Co (northern Tibet): a bioculture experiment. ZooKeys 1011: 25-40. https://doi.org/10.3897/zookeys.1011.56065
Figure 2 A Length versus height of left valves and microscope photographs of L. inopinata from A-8 stage to adult B Plot demonstrating the growth ratio elements KL and KH of L. inopinata from A-8 stage to adult. KL = Lm+1 / Lm, KH = Hm+1 / Hm, where KL and KH are growth ratios of mean length and height, Lm and Hm are respectively mean length and height at stage m, and Lm+1 and Hm+1 are respectively mean length and height at stage m+1. The black line suggests a growth ratio of 1.26, the value predicted by Brooks' rule. All individuals are from the indoor bioculture laboratory.
Data from: Genomic evolution of bacterial populations under co-selection by antibiotics and phage
Bacteria live in dynamic systems where selection pressures can alter rapidly, forcing adaptation to the prevailing conditions. In particular, bacteriophages and antibiotics of anthropogenic origin are major bacterial stressors in many environments. We previously observed that populations of the bacterium Pseudomonas fluorescens SBW25 exposed to the lytic bacteriophage SBW25Φ2 and a non-inhibitive concentration of the antibiotic streptomycin (co-selection) achieved higher levels of phage resistance compared to populations exposed to the phage alone. In addition, the phage became extinct under co-selection while remaining present in the phage alone environment. Further, phenotypic tests indicated that these observations might be associated with increased mutation rate under co-selection. In this study, we examined the genetic causes behind these phenotypes by whole-genome sequencing clones isolated from the end of the experiments. We were able to identify genetic factors likely responsible for streptomycin resistance, phage resistance and hypermutable (mutator) phenotypes. This constitutes genomic evidence in support of the observation that while the presence of phage did not affect antibiotic resistance, the presence of antibiotic affected phage resistance. We had previously hypothesized an association between mutators and elevated levels of phage resistance under co-selection. However, our evidence regarding the mechanism was inconclusive, since although with phage mutators were only found under co-selection, additional genomic evidence was lacking and phage resistance was also observed in non-mutators under co-selection. More generally, our study provides novel insights into evolution between univariate and multivariate selection (here two stressors), as well as the potential role of hypermutability in natural communities.
Data from: Interactions among bacterial strains and fluke genotypes shape virulence of co-infection
Most studies of virulence of infection focus on pairwise host-parasite interactions. However, hosts are almost universally co-infected by several parasite strains and/or genotypes of the same or different species. While theory predicts that co infection favours more virulent parasite genotypes through intensified competition for host resources, knowledge of effects of genotype by genotype (G×G) interactions between unrelated parasite species on virulence of co infection is limited. Here we tested such relationship by challenging rainbow trout with replicated bacterial strains and fluke genotypes both singly and in all possible pairwise combinations. We found that virulence (host mortality) was higher in co infections compared to single-infections. Importantly, we also found that the overall virulence was dependent on the genetic identity of the co-infecting partners so that the outcome of co infection could not be predicted from the respective virulence of single infections. Our results imply that G×G interactions among co infecting parasites may significantly affect host health, add to variance in parasite fitness and thus influence evolutionary dynamics and ecology of disease in unexpected ways.
Data from: Magnetic field inhomogeneities due to CO 2 incubator shelves: a source of experimental confounding and variability?
A thorough assessment of the static magnetic field (SMF) inside a CO2 incubator allowed us to identify non-negligible inhomogeneities close to the floor, ceiling, walls and the door. Given that incubator's shelves are made of a non-magnetic stainless steel alloy, we did not expect any important effect of them on the SMF. Surprisingly, we did find relatively strong distortion of the SMF due to shelves. Indeed, our high-resolution maps of the SMF revealed that distortion is such that field intensities differing by a factor of up to 36 were measured on the surface of the shelf at locations only few millimetres apart from each other. Furthermore, the most intense of these fields was around five times greater than the ones found inside the incubator (without the metallic shelves in), while the lowest one was around 10 times lower, reaching the so-called hypomagnetic field range. Our findings, together with a survey of the literature on biological effects of hypomagnetic fields, soundly support the idea that SMF inhomogeneities inside incubators, especially due to shelves' holes, are a potential source of confounding and variability in experiments with cell cultures kept in an incubator.
Data from: Trait identity and functional diversity co-drive response of ecosystem productivity to nitrogen enrichment
1. Exploring the mechanisms underlying the change in ecosystem productivity under anthropogenic nitrogen (N) inputs is of fundamental ecological interest. It has been proposed that functional traits, environmental factors, and species richness are central drivers linking ecosystem productivity with environmental change. However, few studies have considered the joint effects of functional traits, environmental factors, and species richness on ecosystem productivity under increasing N inputs. 2. We established a N-manipulation experiment in a Tibetan alpine steppe in 2013. Using structural equation models, we assessed the effects of N-induced changes in environmental factors, species richness, and trait metrics (the mean, variance, skewness and kurtosis of trait distribution) on gross ecosystem productivity as well as three resource use efficiencies (water, light, and phosphorus (P) use efficiencies), based on measurements during the peak growing season in 2016. 3. We found that both light and P use efficiencies decreased under N enrichment, largely due to the N-induced decline in functional diversity of leaf P concentration. However, both gross ecosystem productivity and water use efficiency exhibited initial increases and subsequent slight decreases with N addition. These nonlinear patterns were closely associated with both the increased morphological trait (i.e., mean-leaf area) and decreased diversity of leaf P concentration. 4. Synthesis. Our results illustrate how N-induced changes in functional traits may have dual effects on ecosystem productivity: the stimulating effects of the dominant trait identity via increasing canopy light interception vs. the inhibiting effect of decreasing trait diversity via declining resource use efficiencies. Our results highlight the importance of including functional traits in land surface models to improve predictions of the response of ecosystem function to N inputs.
Data from: The role of human outdoor recreation in shaping patterns of grizzly bear-black bear co-occurrence
Species distributions are influenced by a combination of landscape variables and biotic interactions with other species, including people. Grizzly bears and black bears are sympatric, competing omnivores that also share habitats with human recreationists. By adapting models for multi-species occupancy analysis, we analyzed trail camera data from 192 trail camera locations in and around Jasper National Park, Canada to estimate grizzly bear and black bear occurrence and intensity of trail use. We documented (a) occurrence of grizzly bears and black bears relative to habitat variables (b) occurrence and intensity of use relative to competing bear species and motorised and non-motorised recreational activity, and (c) temporal overlap in activity patterns among the two bear species and recreationists. Grizzly bears were spatially separated from black bears, selecting higher elevations and locations farther from roads. Both species co-occurred with motorised and non-motorised recreation, however, grizzly bears reduced their intensity of use of sites with motorised recreation present. Black bears showed higher temporal activity overlap with recreational activity than grizzly bears, however differences in bear daily activity patterns between sites with and without motorised and non-motorised recreation were not significant. Reduced intensity of use by grizzly bears of sites where motorised recreation was present is a concern given off-road recreation is becoming increasingly popular in North America, and can negatively influence grizzly bear recovery by reducing foraging opportunities near or on trails. Camera traps and multi-species occurrence models offer non-invasive methods for identifying how habitat use by animals changes relative to sympatric species, including humans. These conclusions emphasise the need for integrated land-use planning, access management, and grizzly bear conservation efforts to consider the implications of continued access for motorised recreation in areas occupied by grizzly bears.
Data from: Within-family parent-offspring co-adaptation in a wild bird: on static traits, behavioural reaction norms and sex differences
Parental care, a central component of reproduction in a wide range of animal species, often involves elaborate behavioural interactions between parents and their offspring. Due to the reciprocal nature of these interactions, it has been hypothesized that parental and offspring behaviours (e.g. parental food provisioning and offspring begging) are not only target but also agent of selection. These traits are therefore expected to co-evolve, ultimately leading to co-adaptation of parent and offspring behaviours within families. However, empirical data on such parent-offspring co-adaptation are limited, particularly for wild populations. Furthermore, mean levels of behaviour (as measured in previous studies) may not adequately describe the dynamic nature of the reciprocal interplay between parents and their offspring, and instead rather the behavioural reaction norms for provisioning and begging may be co-adapted. We applied a large-scale cross-fostering study over 3 consecutive breeding seasons to investigate whether provisioning behaviour of wild blue tit (Cyanistes caeruleus) parents co-varies with the begging behaviour of their genetic, cross-fostered offspring. We simultaneously analysed parent and offspring behaviours, both as static traits (mean levels) and behavioural reaction norms (offspring begging as a function of food deprivation and parental provisioning as a function of short-term experimental changes in brood size). Neither maternal nor paternal provisioning rates co-varied with the begging intensity of their genetic offspring when analysed as mean levels of behaviour. However, the slopes of the reaction norms for provisioning and begging were negatively correlated between male, but not female, parents and their genetic offspring. Thus, fathers that change their provisioning rate strongly with brood size sire offspring whose level of begging only weakly increases with hunger, and vice versa. The observed co-variation suggests the existence of sex-specific optima for parent-offspring trait combinations. Thus, our study not only highlights the importance of a behavioural reaction norm approach when investigating parent-offspring interactions, but also stresses the relevance of considering parents as separate units, at least for biparental species.
Data from: Inferring new relations between medical entities using literature curated term co-occurrences
ABSTRACT Objectives Identifying new relations between medical entities, such as drugs, diseases, and side-effects, is typically a resource-intensive task, involving experimentation and clinical trials. The increased availability of related data and curated knowledge enables a computational approach to this task, notably by training models to predict likely relations. Such models rely on meaningful representations of the medical entities being studied. We propose a generic features vector representation that leverages co-occurrences of medical terms, linked with PubMed citations. Materials and Methods We demonstrate the usefulness of the proposed representation by inferring two types of relations: a drug causes a side effect, and a drug treats an indication. To predict these relations and assess their effectiveness, we applied two modeling approaches: multi-task modeling using neural networks, and single-task modeling based on gradient-boosting machines and logistic regression. Results These trained models, which predict either side effects or indications, obtained significantly better results than baseline models that use a single direct co-occurrence feature. The results demonstrate the advantage of a comprehensive representation. Discussion Selecting the appropriate representation has an immense impact on the predictive performance of machine learning models. Our proposed representation is powerful, as it spans multiple medical domains and can be used to predict a wide range of relation types. Conclusion The discovery of new relations between various medical entities can be translated into meaningful insights, for example, related to drug development or disease understanding. Our representation of medical entities can be used to train models that predict such relations, thus accelerating healthcare-related discoveries.
Data from: Effect of HIV and malaria parasites co-infection on immune-hematological profiles among patients attending anti-retroviral treatment (ART) clinic in Infectious Disease Hospital Kano, Nigeria
Background Human immunodeficiency virus (HIV) and malaria co-infection may present worse health outcomes in the tropics. Information on HIV/malaria co-infection effect on immune-hematological profiles is critical for patient care and there is a paucity of such data in Nigeria. Objective To evaluate immune-hematological profiles among HIV infected patients compared to HIV/malaria co-infected for ART management improvement. Methods This was a cross sectional study conducted at Infectious Disease Hospital, Kano. A total of 761 consenting adults attending ART clinic were randomly selected and recruited between June and December 2015. Participants' characteristics and clinical details including two previous CD4 counts were collected. Venous blood sample (4ml) was collected in EDTA tube for malaria parasite diagnosis by rapid test and confirmed with microscopy. Hematological profiles were analyzed by Sysmex XP-300 and CD4 count by Cyflow cytometry. Data was analyzed with SPSS 22.0 using Chi-Square test for association between HIV/malaria parasites co-infection with age groups, gender, ART, cotrimoxazole and usage of treated bed nets. Mean hematological profiles by HIV/malaria co-infection and HIV only were compared using independent t-test and mean CD4 count tested by mixed design repeated measures ANOVA. Statistical significant difference at probability of <0.05 was considered for all variables. Results Of the 761 HIV infected, 64% were females, with a mean age of ± (SD) 37.30 (10.4) years. Prevalence of HIV/malaria co-infection was 27.7% with Plasmodium falciparum specie accounting for 99.1%. No statistical significant difference was observed between HIV/malaria co-infection in association to age (p = 0.498) and gender (p = 0.789). A significantly (p = 0.026) higher prevalence (35.2%) of co-infection was observed among non-ART patients compared to (26%) ART patients. Prevalence of co-infection was significantly lower (20.0%) among cotrimoxazole users compared to those not on cotrimoxazole (37%). The same significantly lower co-infection prevalence (22.5%) was observed among treated bed net users compared to those not using treated bed nets (42.9%) (p = 0.001). Out of 16 hematology profiles evaluated, six showed significant difference between the two groups (i) packed cell volume (p = <0.001), (ii) mean cell volume (p = 0.005), (iii) mean cell hemoglobin concentration (p = 0.011), (iv) absolute lymphocyte count (p = 0.022), (v) neutrophil percentage count (p = 0.020) and (vi) platelets distribution width (p = <0.001). Current mean CD4 count cell/μl (349±12) was significantly higher in HIV infected only compared to co-infected (306±17), (p = 0.035). A significantly lower mean CD4 count (234.6 ± 6.9) was observed among respondents on ART compared to non-ART (372.5 ± 13.2), p<0.001, mean difference = -137.9). Conclusion The study revealed a high burden of HIV and malaria co-infection among the studied population. Co-infection was significantly lower among patients who use treated bed nets as well as cotrimoxazole chemotherapy and ART. Six hematological indices differed significantly between the two groups. Malaria and HIV co-infection significantly reduces CD4 count. In general, to achieve better management of all HIV patients in this setting, diagnosing malaria, prompt antiretroviral therapy, monitoring CD4 and some hematology indices on regular basis is critical.
Data from: Modified antibiotic adjuvant ratios can slow and steer the evolution of resistance: Co-amoxiclav as a case study
As antibiotic resistance spreads, developing sustainable methods to restore the efficacy of existing antibiotics is increasingly important. One widespread method is to combine antibiotics with synergistically acting adjuvants that inhibit resistance mechanisms, allowing drug killing. Here we use co-amoxiclav (a clinically important combination of the -lactam antibiotic amoxicillin and the -lactamase inhibitor clavulanate) to ask whether treatment efficacy and resistance evolution can be decoupled via component dosing modifications. A simple mathematical model predicts that different ratios of these two drug components can produce distinct evolutionary responses irrespective of initial efficacy. We test this hypothesis by selecting Escherichia coli with a plasmid encoded -lactamase (CTX-M-14), against different compositions of amoxicillin and clavulanate. Consistent with our theory, we found that while resistance evolved under all conditions, the component ratio influenced both the rate and mechanism of resistance evolution. Specifically, we found that the current clinical practice of high amoxicillin to clavulanate ratios resulted in the most rapid adaptation to antibiotics via gene dosing responses. Increased plasmid copy number allowed E. coli to increase -lactamase dosing and effectively titrate out low quantities of clavulanate, restoring amoxicillin resistance. In contrast, high clavulanate ratios were more robust - plasmid copy number did not increase, although porin or efflux resistance mechanisms were found, as in all drug ratios. Our results indicate that by changing the ratio of adjuvant to antibiotic we can slow and steer the path of resistance evolution. We therefore suggest using increased adjuvant dosing regimens to slow the rate of resistance evolution.
Data from: The stable isotope ecology of mycalesine butterflies: implications for plant-insect co-evolution
One of the most dramatic examples of biome shifts in the geological record is the rapid replacement of C3 vegetation by C4 grasses in (sub-) tropical regions during the Late Miocene–Pliocene. Climate-driven biome shifts of this magnitude are expected to have a major impact on diversification and ecological speciation, especially in grazing taxa. Mycalesine butterflies are excellent candidates to explore the evolutionary impact of these C3/C4 shifts on insect grazer communities. Mycalesine butterflies feed on grasses as larvae, have radiated spectacularly and occur in almost all extant habitats across the Old World tropics. However, at present, we lack a comprehensive understanding of the larval ecology of these butterflies and this hampers investigations of co-evolutionary patterns among the geographically parallel radiations of mycalesine butterflies and the remarkable evolutionary history of their host plants. By conducting several experiments under defined environmental conditions, we demonstrate that the feeding history of mycalesine larvae on C3 and C4 grasses can be traced by analysing δ13C in the organic material of the adult exoskeleton, while values of δ18O in the adult reflect atmospheric humidity during larval development. To show the power of these isotopic proxies for ecological studies, we analysed the isotopic composition of organic material obtained from adult butterflies sampled in two extensive longitudinal surveys. We observed strong associations among the larval ecology, habitat preferences of the adult butterflies and patterns of seasonality, such that mycalesine species that inhabit open environments are more opportunistic in their host plant choice but utilize C3 grasses more frequently during the dry season. Crucially, the ability to process the less palatable C4 grasses appears to be phylogenetically clustered within mycalesine species, suggesting that novel feeding adaptations may have evolved in response to the ecological dominance of C4 grasses in open savanna habitats.
Data from: Phylogenomic analysis of transcriptome data elucidates co-occurrence of a paleopolyploid event and the origin of bimodal karyotypes in Agavoideae (Asparagaceae)
PREMISE OF THE STUDY: The stability of the bimodal karyotype found in Agave and closely related species has long interested botanists. The origin of the bimodal karyotype has been attributed to allopolyploidy, but this hypothesis has not been tested. Next Generation transcriptome sequence data were used to test whether a paleopolyploid event occurred on the same branch of the Agavoideae phylogenetic tree as the origin of the Yucca-Agave bimodal karyotype. METHODS: Illumina RNAseq data were generated for phylogenetically strategic species in Agavoideae. Paleopolyploidy was inferred in analyses of frequency plots for synonymous substitutions per synonymous site (Ks) between Hosta, Agave and Chlorophytum paralogous and orthologous gene pairs. Phylogenies of gene families including paralogous genes for these species and outgroup species were estimated in order to place inferred paleopolyploid events on a species tree. KEY RESULTS: Ks frequency plots suggested paleopolyploid events in the history of the genera Agave, Hosta and Chlorophytum. Phylogenetic analyses of gene families estimated from transcriptome data revealed two polyploid events: one predating the last common ancestor of Agave and Hosta and one within the lineage leading to Chlorophytum. CONCLUSIONS: We found that allopolyoidy and the origin of the Yucca-Agave bimodal karyotype co-occur on the same lineage consistent with the hypothesis that the bimodal karyotype is a consequence of allopolyploidy. We discuss this and alternative mechanisms for the formation of the Yucca-Agave bimodal karyotype. More generally, we illustrate how the use of next generation sequencing technology is a cost-efficient means for assessing genome evolution in non-model species.
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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.
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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.