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390 results for “Commensals”
Card9 and MyD88 differentially regulate Th17 immunity to the commensal yeast Malassezia in the murine skin
<p><span>Raw data associated with Tuor et al., Mucosal Immunology, 2024. doi: 10.1016/j.mucimm/2024.11.004 (Figures 5 - 6 and associatd supplementary Figures S7 - S8)</span></p>
Card9 and MyD88 differentially regulate Th17 immunity to the commensal yeast Malassezia in the murine skin
<p>Raw data associated with Tuor et al., Mucosal Immunology, 2024. doi: 10.1016/j.mucimm/2024.11.004 (Figures 1 to 4 and associatd supplementary Figures S1 - S6)</p>
Candida albicans commensalism in the oral mucosa is favoured by limited virulence and metabolic adaptation.
<p>Original data linked to Lemberg, Martinez de San Vicente, Fróis-Martins, et al., PLoS Pathogens, 2022.</p> <p>Transcriptomic data linked to this paper are deposited on the NCBI BioProject PRJNA491801 (https://www.ncbi.nlm.nih.gov/bioproject/?term=PRJNA491801)</p>
Comparative phylogeography of two commensal rat species (Rattus tanezumi and R. norvegicus) in China: Insights from mitochondiral DNA, microsatellite and RADseq
<p><em><span>Rattus norvegicus</span></em><span> and </span><em><span>Rattus tanezumi</span></em><span> are dominant species of Chinese house rats, but the colonization and demographic history of two species in China have not been thoroughly explored.</span><span> Phylogenetic analyses with mitochondrial DNA including 486 individuals from 31 localities revealed that </span><span><em>R</em>. <em>norvegicus</em></span><span> is widely distributed in China, </span><span>R. <em>tanezumi</em></span><span> is mainly distributed in southern China with currently invading northward; northeast China was the natal region of </span><span><em>R</em>. <em>norvegicus</em></span><span>, while the spread of </span><span><em>R</em>. <em>tanezumi</em></span><span> in China most likely started from the southeast coast. A total of 123 individuals from 18 localities were subjected to 2b‐RAD analyses. In the neighbor‐joining tree, individuals of </span><span><em>R</em>. <em>tanezumi</em></span><span> grouped into geographic‐specific branches, and populations from the southeast coast were ancestral groups, which confirmed the colonization route from the southeast coast to central and western China. However, individuals of </span><span><em>R</em>. <em>norvegicus</em></span><span> were generally grouped into two clusters instead of geographic‐specific branches. One cluster comprised inland populations, and another cluster included both southeast coast and inland populations, which indicated that the spread history of </span><span><em>R</em>. <em>norvegicus</em></span><span> in China was complex; in addition to on‐land colonization, shipping transportation also played a great role. ADMIXTURE and principal component analyses provided further supports for the colonization history. Demographic analyses revealed that climate changes at ~40,000 to 18,000 years ago and ~4000 years ago had led to population declines of both species; the </span><span>R<em>.</em> <em>norvegicus</em></span><span> declined rapidly while the population of </span><span><em>R</em>. <em>tanezumi</em></span><span> continuously expanded since ~1500 years ago, indicating the importance of interspecies' competition in their population size changes. Our study provided a valuable framework for further investigation of phylogeography of two species in China.</span></p>
Fig. 3 in A White Stork (Ciconia ciconia (Linnaeus, 1758)) nest - an unique case of multiple nesting commensalism of five species from Dragoman (W Bulgaria)
Fig. 3. Spanish sparrows nesting in a nest of White Stork, Dragoman, 19.05.2019. Photo: Z. Boev.
Fig. 2 in A White Stork (Ciconia ciconia (Linnaeus, 1758)) nest - an unique case of multiple nesting commensalism of five species from Dragoman (W Bulgaria)
Fig. 2. House sparrows nesting in a nest of White Stork, Dragoman, 19.05.2019. Photo: Z. Boev.
Fig. 1 in Pneumocystis jirovecii-from a commensal to pathogen: clinical and diagnostic review
Fig. 1 Major issues related to PcP in non-HIV patients
Fig. 4. A in New record of commensal scale worms, Arctonoe vittata (Grube, 1855) and Hyperhalosydna striata (Kinberg, 1856) (Polychaeta: Polynoidae) from Korean waters
Fig. 4. A, Hyperhalosydna striata in a tube of eunicid polychaeta; B, Freeliving H. striata.
Digital Commensality data-set
<p>The Digital Commensality Data-set consists of facial activity data of 11 pairs of persons sharing a meal online through a videoconferencing software and self-reported qualitative and qualitative measures of their commensal experience (Computer-Mediated Communication questionnaire and Digital Commensality questionnaire). Facial activity data is extracted using the OpenFace tool.</p> <p>If you use this data-set for the uses allowed in the license, e.g., research purposes, please add the following citation:</p> <p>Ceccaldi, E., Niewiadomski, R., Mancini, M., & Volpe, G. (2022). What's on your plate? Collecting multimodal data to understand commensal behavior. <em>Frontiers in Psychology</em>, <em>13</em>.</p> <p>https://doi.org/10.3389/fpsyg.2022.911000</p>
Figure 2 in Expanding Population Edge Craniometrics and Genetics Provide Insights into Dispersal of Commensal Rats through Nusa Tenggara, Indonesia
Figure 2. Sampling locations for skulls included in the craniometric analysis.
Data from: Urban bird commensals maintain coexistence under extreme food shortages
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A conserved genetic basis for commensal-host specificity through live imaging of colonization dynamics
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Comparative phylogeography of two commensal rat species (Rattus tanezumi and R. norvegicus) in China: Insights from mitochondiral DNA, microsatellite and RADseq
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Data from: Why are some plant—nectar robber interactions commensalisms?
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Data from: Long-term human land-use change throughout Southeast Asia reshapes the distribution of suitable habitat for a human-commensal bird species
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Commensal bacteria maintain a Qa-1b-restricted unconventional CD8+ T population in gut epithelium
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Experimental evidence of a consistent commensal relationship between avian hosts and feather mites of differing host specificities
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Data from: Late Quaternary environmental and human impacts on the mitochondrial DNA diversity of four commensal rodents in Myanmar
<p>We addressed the spatiotemporal characteristics of four commensal rodent species occurring in Myanmar in comparison with other areas of the Indo-Malayan region. We examined sequence variations of the mitochondrial cytochrome <i>b</i>gene (<i>Cytb</i>) in the Pacific rat (<i>Rattus exulans</i>), roof rat(<i>Rattus rattus</i>complex, RrC), lesser bandicoot rat (<i>Bandicota bengalensis</i>), and house mouse(<i>Mus musculus</i>) using the recently developed time-dependent evolutionary rates of mtDNA. The <i>Cytb</i>sequences of RrC from Myanmar were shown to belong to RrC Lineage II, and their level of genetic diversity was relatively high compared to those of the other three species. RrC was found to have experienced bottleneck and rapid expansion events at least twice in the late Pleistocene period in Myanmar and a nearby region. Accordingly, paleoclimatic environmental fluctuations were shown to be an important factor affecting rodents in the subtropics of the Indo-Malayan region. Our results show that human activities during the last 10,000 years of the Holocene period affected the population dynamics of the rodent species examined, including introducing them to Myanmar from neighboring countries. Further study of these four commensal rodents in other geographic areas of the Indo-Malayan region would allow us to better understand the factors that drove their evolution and their ecological trends.</p>
Data from: Invasion genetics of a human commensal rodent: the black rat Rattus rattus in Madagascar
Studies focusing on geographical genetic patterns of commensal species and on human history complement each other, and provide proxies to trace common colonisation events. On Madagascar, the unintentional introduction and spread of the commensal species Rattus rattus by people may have left a living clue of human colonization patterns and history. In this study, we addressed this question by characterising the genetic structure of natural populations of R. rattus using both microsatellites and mitochondrial sequences, on an extensive sampling across the island. Such datasets were analysed by a combination of methods using population genetics, phylogeography and Approximate Bayesian Computation. Our results indicated two different introduction events to Madagascar from the same ancestral source of R. rattus, one in the extreme north of the island and the other further south. The latter was the source of a large spatial expansion, which may have initially started from an original point located on the southern coast. The inferred timing of introduction events – several centuries ago - is temporally congruent with the Arabian trade network in the Indian Ocean, which was flourishing from the middle of the first millennium.
Data from: Human activities and landscape features interact to closely define the distribution and dispersal of an urban commensal.
The rock pigeon, Columba livia, is a cosmopolitan human commensal, domesticated thousands of years ago. However, the human-mediated factors governing its distribution and dispersal are not well understood. In this study, we performed (1) hierarchical distance sampling on ~400 island-wide point transects, (2) a population genomic inquiry based on ~7000 SNPs from almost 150 individuals, and (3) landscape-genomic analyses on the basis of extensive ecological and social-economic databases to characterize the distribution and dispersal patterns of rock pigeons across Singapore. Our distance sampling results indicated that the volume of intentional 'mercy feeding' and availability of high-rise buildings are the most reliable predictors of high pigeon densities in Singapore. Genomic analyses demonstrated that rock pigeons in Singapore form a single population possibly derived from rapid expansion from a genetically homogenous group of founder individuals. Specifically, rock pigeons in Singapore lack sex-biased dispersal and are clustered with a genetic patch size of ~3km. Landscape genomic analyses of great precision pointed to the presence of dense trees as agents of resistance to dispersal whereas a high road density reduces this resistance. By pinpointing a range of ecological and socio-economic variables determining the distribution and dispersal of pigeons, our study provides urban planners with the tools for optimal management of this human commensal, such as a curtailment of the practice of mercy feeding and modifications to the urban landscape to reduce pigeon density and to lower the likelihood of repopulation by dispersal.
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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.