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15,277 results for “GENETICS”
FIGURE 5 in Split distribution, biogeography and morphological and genetic diversity of the Iberobathynellini Tribe in the family Parabathynellidae (Crustacea, Malacostraca, Bathynellacea)
FIGURE 5 Bayesian phylogenetic tree based on the morphological dataset. Support for each node is provided by the posterior probabilities (PP).
FIGURE 4 Temporal estimates derived from a in Split distribution, biogeography and morphological and genetic diversity of the Iberobathynellini Tribe in the family Parabathynellidae (Crustacea, Malacostraca, Bathynellacea)
FIGURE 4 Temporal estimates derived from a relaxed molecular clock analysis. Divergence times are depicted in the coalescence-based MCC tree. Units of X-axis address Mya and blue bars at nodes indicate the 95% highest posterior density intervals (HPD).
FIGURE 3 in Split distribution, biogeography and morphological and genetic diversity of the Iberobathynellini Tribe in the family Parabathynellidae (Crustacea, Malacostraca, Bathynellacea)
FIGURE 3 Bayesian phylogenetic tree based on COI sequences (507 bp) of Parabathynellidae species. Support for each node is provided by the posterior probabilities (PP) and ultrafast bootstrap support values (uBS) with black and grey boxes.
FIGURE 2 in Split distribution, biogeography and morphological and genetic diversity of the Iberobathynellini Tribe in the family Parabathynellidae (Crustacea, Malacostraca, Bathynellacea)
FIGURE 2 Bayesian phylogenetic tree based on the concatenated dataset [COI and 18S (2209 bp)] of Parabathynellidae species. Support for each node is provided by the posterior probabilities (PP) and ultrafast bootstrap support values (uBS) with black and grey boxes. Habitat: C = cave; R = river; S = spring; W = well. Spain provinces: BI = Vizcaya; BU = Burgos; CO = Córdoba; LU = Lugo; MA = Málaga; Ma: Morocco; MU = Murcia; O = Asturias; S = Cantabria; SE = Sevilla. Tx = Texas. SI = Slovenia.
FIGURE 17 in Split distribution, biogeography and morphological and genetic diversity of the Iberobathynellini Tribe in the family Parabathynellidae (Crustacea, Malacostraca, Bathynellacea)
FIGURE 17 Furcal rami: A. Iberobathynella cornejoensis; B. I. lamasonensis; C. I. andalusica; D. I. burgalensis; E. I. paragracilipes; F. I. pedroi; G. Guadalopebathynella puchi; H. Hexaiberobathynella mateusi; I. Paraiberobathynella notenboomi; J. Californibathynella californica; K. Texanobathynella bowmani; L. T. aaronswinki; M. Montanabathynella pecosensis; N. Parabathynella motasi.
FIGURE 14 in Split distribution, biogeography and morphological and genetic diversity of the Iberobathynellini Tribe in the family Parabathynellidae (Crustacea, Malacostraca, Bathynellacea)
FIGURE 14 Female Th VIII: A. Iberobathynella asturiensis; B. I. parasturiensis; C. I. cavadoensis; D. I. ortizi; E. I. rouchi; F. I. imuniensis; G. I. serbani; H. I. guarenensis; I. I. lamasonensis; J. I. cornejoensis; K. I. pedroi; L. I. espaniensis; M. I. cantabriensis; N. I. magna; O. I. burgalensis; P. I. andalusica; Q. I. paragracilipes; R. I. lusitanica; S. I. valbonensis; T. I. barcelensis; U. Hexaiberobathynella hortezuelensis; V. Hi. mateusi; W.Guadalopebathynella puchi; X. Californibathynella californica; Y. Paraiberobathynella fagei; Z. P. notenboomi; AA. Texanobathynella sachi; BB. Texanobathynella aaronswinki; CC. Montanabathynella salish; DD. M. pecosensis; EE. Parabathynella motasi.
FIGURE 1 in Split distribution, biogeography and morphological and genetic diversity of the Iberobathynellini Tribe in the family Parabathynellidae (Crustacea, Malacostraca, Bathynellacea)
FIGURE 1 World distribution map of species and populations of the "Iberobathynellini tribe" and those of Montanabathynella and Parabathynella.
Neural, genetic, and developmental changes underlie evolving butterfly mate preference
<p>Many studies have linked genetic variation to behavior, but the links between that variation and the neural circuits that drive behavior remain elusive. We investigated the architecture of mate choice behavior in <em>Heliconius</em> butterflies, which use vision to identify preferred mates based on wing color patterns. We found that <em>Heliconius</em> <em>cydno</em> mate preference is associated with inter-photoreceptor inhibition of ultraviolet-sensitive photoreceptors (PRs) by long-wavelength sensitive PRs; identified a small number of genetic loci associated with preference variation; and began to link these multiple layers of behavior variation together through analyses of developmental gene networks. Our results support the idea that altered peripheral neural computations, driven by changes to underlying developmental genetic processes, can significantly and rapidly alter essential behaviors. </p> <p>This dataset contains processed data, scripts, and notebooks that were used to analyze the RNA-seq data presented in the associated publication. </p>
Museum records for "Determinants of genetic diversity in Neotropical salamanders (Plethodontidae: Bolitoglossini)"
<p>This dataset contains museum records for 59 species of Neotropical salamanders (tribe Bolitoglossini) from GBIF. These records were used to estimate the area of species' distributions as well as to extract climatic variability data for each species from Worldclim layers. After downloading the data from GBIF, we checked all records for each species against the species' known range and eliminated records outside the range or that were taxonomically misidentified.</p>
Genetic variation of Scots pine in Eurasia: Impact of postglacial recolonisation and human-mediated gene transfer
<p><strong>The dataset comprises nuclear microsatellite data (PCR products lengths) used in the paper "Genetic variation of Scots pine in Eurasia: Impact of postglacial recolonisation and human-mediated gene transfer".</strong></p> <p><strong>The pdf file includes the list of populations.</strong></p> <p>Abstract: Scots pine (<em>Pinus sylvestris</em> L.) seems to be a species of low conservation priority because it has a very wide Eurasian distribution and plays a leading role in many forest tree breeding programs. Nevertheless, considering its economic value, long breeding history, range fragmentation, and increased mortality, which is also projected in the future, it requires a more detailed description of its genetic resources. Our goal was to compare patterns of genetic variation found in biparentally inherited nuclear DNA with previous research carried out with mitochondrial and chloroplast DNA due to their different modes of transmission. We analysed the genetic variation and relationships of 60 populations across the distribution of Scots pine in Eurasia (1,262 individuals) using a set of nuclear DNA markers. We confirmed the high genetic variation and low genetic differentiation of Scots pine spanning large geographical areas. Nevertheless, there was a clear division between European and Asian gene pools. The genetic variation of Asian populations was lower than in Europe. Spain, Turkey, and the Apennines constituted separate gene pools, the latter showing the lowest values of all genetic variation parameters. The analyses showed that most populations experienced genetic bottlenecks in the distant past. Ongoing admixture was found in Fennoscandia. Our results suggest a much simpler recolonization history of the Asian than European part of the Scots pine distribution, with migration from limited sources and possible founder effects. Eastern European stands seem to have descended from the Urals refugium. It appears that Central Europe and Fennoscandia share at least one glacial refugium in the Balkans and migrants from higher latitudes, as well as from southeastern regions. The low genetic structure between Central Europe and Fennoscandia, along with their high genetic admixture, may result at least partially from past human activities related to the transfer of germplasm in the 19<sup>th</sup> and early 20<sup>th</sup> centuries. In light of ongoing climate changes and projected range shifts of Scots pine, conservation strategies are especially needed for marginal and isolated stands of this species. Genetic research should also be complemented in parts of the species distribution that have thus far been poorly studied.</p>
Genetic variance in contrasting environments
<p>The evolutionary response of a trait to directional selection depends upon the level of additive genetic variance. It has been long argued that sustained selection will tend to deplete additive genetic variance as favoured alleles approach fixation. Non-additive genetic variance, due to interactions among alleles within and between loci, does not immediately contribute to an evolutionary response, although shifts in the allele frequencies within and between interacting loci may convert interaction variance into additive variance. Here we consider the possibility that an environmental shift may alter allelic interactions in ways that convert nonadditive into additive genetic variance. Specifically, we performed experiments that used a Bayesian implementation of the animal model to estimate the additive, dominance, and maternal components of variance for a pedigreed population of <em>Brassica rapa</em>. One experiment was performed in a field that mimicked agricultural conditions from which the base population was drawn, while the other was performed in the benign conditions of a greenhouse. Although the additive genetic variance was elevated in the greenhouse condition, no consistent pattens emerged that would indicate a conversion of dominance variance. The unusually low genetic variance and broad confidence intervals for the variance estimates obtained through this analysis preclude definitive interpretations. Thus, we promote further investigation to determine if between-environment changes in additive genetic variance can be traced to conversion of nonadditive variance.</p>
Data, code, and supplementary materials for Pearman P. B., Broennimann, O., et al. Monitoring species genetic diversity in Europe varies greatly and overlooks potential climate change impacts. Nature Ecology & Evolution
<p>The repository contains several archives of digital materials that were used and/or produced in the analyses presented in Pearman, P. B. and Broennimann et al. Monitoring species genetic diversity in Europe varies greatly and overlooks potential climate change impacts. <strong>Nature Ecology & Evolution</strong>, likely 2023. These archives include (1) Supplementary Materials files ; (2) Data and code to generate country-level maps and plots; and (3) data and code to generate all maps of species and joint climate niche marginality, all in G-zipped tar archives. Readme files are available in each archive to guide running of the scripts and identification of objects in the Supplementary Materials. Please see the paper for all co-authors names, and the methods, the results obtained, and discussion of their implications.</p> <p>This work is dedicated to the memory of our friend and colleague Michael Bruford (1963-2023).</p>
Figure 5 in Genetic integrity of the European grayling (Thymallus thymallus) populations within the Vienne River drainage basin after five decades of stockings
Figure 5 - Results of the Structure analysis (Q-values) for 8 loci (A) and 10 loci (B). Colours represent the different "k" units chosen using the approach of Evanno et al. (2005). Population names are shown on the x-axis, and Q-values (contribution or assignment from each k partition) are shown on the Y-axis. For 8 loci, k = 8, and for 10 loci k = 11.
Figure 2 in Genetic integrity of the European grayling (Thymallus thymallus) populations within the Vienne River drainage basin after five decades of stockings
Figure 2. - Close-up of grayling distribution and four sampled sites (stars) within the upper Vienne district in 2012 (relief background from IGN-Geoportail).
Figure 4 in Genetic integrity of the European grayling (Thymallus thymallus) populations within the Vienne River drainage basin after five decades of stockings
Figure 4. - Factorial Correspondence Analyses (FCA) of individuals based on the presence and absence of microsatellite alleles. A: Bi-variate plot of the first two FCA factors (F1 & F2), graphically partitioned by population. B: Bi-variate plot of the third and fourth FCA factors (F3 & F4) partitioned by population. The percentage inertia for each factor is as follows: FC1 = 4.44%; FC2 = 4.03%; FC3 = 3.46%; FC4 = 2.82%.
Figure 1 in Genetic integrity of the European grayling (Thymallus thymallus) populations within the Vienne River drainage basin after five decades of stockings
Figure 1. - Distribution of grayling in Europe (green) and its former distribution in France around 1900 (red). Sample sites (white stars = wild populations, black stars = hatcheries) are numbered following table II.
Figure 3 in Genetic integrity of the European grayling (Thymallus thymallus) populations within the Vienne River drainage basin after five decades of stockings
Figure 3. - Median Joining network of haplotypes found in this study augmented by additional published haplotypes provided for reference. All new haplotypes use the simple abbreviation "Ht" with a serial number reflecting the order in which they were first found in our data. The small black dots indicate substitutional steps whereas the small red dots represent multifurcating nodes. The following haplotypes and corresponding clade names stem from Weiss et al. (2002). "Danube drainage (Northern Alps)": Da1, Da2, Da4, Da11; "Mixed Central Europe": Rh1, Rh4, Rh6 all first reported from the Rhone basin; "Mixed Central Europe": At14, At15 both frequent and widespread in the Rhine basin; "Scandinavia": At6 reported from Finland; and AT1 first reported from the Loire River.
Genetic Effects on Dopamine Response to an Opiate
ClinicalTrials.gov study NCT01878006. IPD Sharing: UNDECIDED. Countries: 1. Publications: 4.
Genetic-specific Effects of Fructose on Liver Lipogenesis
ClinicalTrials.gov study NCT03783195. IPD Sharing: YES. Countries: 1. Publications: 27.
The relative strength of selection on modifiers of genetic architecture under migration load
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Allen Brain Atlas
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DANDI Archive for NWB datasets
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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.