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opencc-by-4.0Dec 2014View details →

Figs 1–6 in Nosema pieriae sp. n. (Microsporida, Nosematidae): A New Microsporidian Pathogen of the Cabbage Butterfly Pieris brassicae L. (Lepidoptera: Pieridae)

Figs 1–6. Light micrographs of the microsporidian pathogen infecting P. brassicae. 1 – intestine which is heavily infected with microsporidian spores; 2–3 – microsporidian spores in fresh smears, note that meront and sporoblast stages are easily seen and marked by arrows; 4 – tetranucleate spherical meront (schizont); 5 – binucleate oval meront; 6 – diplokaryotic sporoblast. Scale bars: 30 µm (1), 15–10 µm (2–3), 3 μm (4), 2 μm (5), 4 μm (4).

opencc-by-4.0Dec 2014View details →

Fig. 11 in Nosema pieriae sp. n. (Microsporida, Nosematidae): A New Microsporidian Pathogen of the Cabbage Butterfly Pieris brassicae L. (Lepidoptera: Pieridae)

Fig. 11. The phylogenetic analysis was carried out by Maximum Likelihood (ML) using an HKY85 substitution model of PAUP 4.0b10 software. The topology of the consensus tree was constructed and evaluated by 1000 bootstrap replications. The branches with lower than 50% confidence values were ignored.

opencc-by-4.0Dec 2014View details →

Figs 7–10 in Nosema pieriae sp. n. (Microsporida, Nosematidae): A New Microsporidian Pathogen of the Cabbage Butterfly Pieris brassicae L. (Lepidoptera: Pieridae)

Figs 7–10. Transmission electron micrographs of microsporidian spores infecting P. brassicae. 7 – longitudinal (a) and transversal (b) sections of diplokaryotic spores, polar filament (pf), posterior vacuole (pv) and nuclei (n) are easily seen; 8 – spherical nuclei (n); 9 – polaroplast (pp) and anchoring disc (ad) structures; pp thin lamellar type polaroplast, pp thick lamellar type polaroplast; 10 – cross section of 1, 2, polar filaments; exospore (ex), endospore (en), plasmalemma (p) and polar filament (pf). Scale bars: 800 nm (7), 250 nm (8), 200 nm (9, 10).

opencc-by-4.0Feb 2022View details →

Sphingolipids are involved in Pieris brassicae egg-induced cell death in Arabidopsis thaliana

This table contains mean + SEM values of sphingolipid levels by LC-MS analysis in Arabidopsis thaliana (wild-type and mutant lines) and Brassica nigra (wild-type) in response to egg extract of Pieris brassicae, as well as P-values for selected comparisons by Welsch t-test. These data were used for Fig. 7 and Fig. 8 of Groux et al. 2022

opencc-by-4.0Jul 2019View details →

Рис. 2. Àневные чешуекрыΛые Ботчинского заповеΑника в прироΑе. Фото И. В. Костомаровой: 1 — Hesperia comma repugnans, самец; 2 — Parnassius stubbendorfii, самец; 3 — Anthocharis cardamines, самец; 4 — Pieris melete, самец; 5 — Lycaeides idas tancrei, самец; 6 — Mimathyma nycteis, самец; 7 — Limenitis helmanni, самцы; 8 — Neptis andetria, самка Fig. 2. Diurnal butterflies of the Botchinsky reserve in nature. Photos by I. V. Kostomarova: 1 — Hesperia comma repugnans, male; 2 — Parnassius stubbendorfii, male; 3 — Anthocharis cardamines, male; 4 — Pieris melete, male; 5 — Lycaeides idas tancrei, male; 6 — Mimathyma nycteis, male; 7 — Limenitis helmanni, males; 8 — Neptis andetria, female in Hesperioidea And Papilionoidea (Lepidoptera) Of Coniferous Forests From The Nature Reserve Botchinskii

Рис. 2. Àневные чешуекрыΛые Ботчинского заповеΑника в прироΑе. Фото И. В. Костомаровой: 1 — Hesperia comma repugnans, самец; 2 — Parnassius stubbendorfii, самец; 3 — Anthocharis cardamines, самец; 4 — Pieris melete, самец; 5 — Lycaeides idas tancrei, самец; 6 — Mimathyma nycteis, самец; 7 — Limenitis helmanni, самцы; 8 — Neptis andetria, самка Fig. 2. Diurnal butterflies of the Botchinsky reserve in nature. Photos by I. V. Kostomarova: 1 — Hesperia comma repugnans, male; 2 — Parnassius stubbendorfii, male; 3 — Anthocharis cardamines, male; 4 — Pieris melete, male; 5 — Lycaeides idas tancrei, male; 6 — Mimathyma nycteis, male; 7 — Limenitis helmanni, males; 8 — Neptis andetria, female

opencc-zeroJun 2024View details →

Dataset: Pieris Pharmaceuticals, Inc. (PIRS) Stock Performance

This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.

opencc-by-4.0Jan 2017View details →

Figs. 4-7.- Pieris mannii. 4 in Nuevos registros de lepidópteros de actividad diurna (Lepidoptera: Papilionoidea, Zygaenoidea) en Euskadi, Navarra y áreas limítrofes.

Figs. 4-7.- Pieris mannii. 4.- Oruga en primer estadio de desarrollo sobre una 7 plántula de Iberis carnosa (Monreal, Navarra). 5 y 6.- Aspecto de una oruga sobre Iberis carnosa (Lapoblación, Navarra). 7.- Pupa. Ex ovo. (Laguardia, Araba/Álava).

Fig. 5 in A geometric morphometric study of the wing shapes of Pieris rapae (Lepidoptera: Pieridae) from the Qinling Mountains and adjacent regions: An environmental and distance-based consideration

Fig. 5. Hind wing shape variation (CV1: 50.41%; CV2: 15.49%). The colored circles in the image above represent the average discrete point center of populations; the number is the population ID. Thin-plate spline analysis results are shown by colored grid, which represents wing shape deformation. The numbers on the grid are landmarks of wings. Blue color denotes contraction between landmarks, and red color indicates expansion between landmarks. The North group and South group correspond to the boundary of Qinling Mountains as the boundary between northern and southern China.

Fig. 4 in A geometric morphometric study of the wing shapes of Pieris rapae (Lepidoptera: Pieridae) from the Qinling Mountains and adjacent regions: An environmental and distance-based consideration

Fig. 4. Forewing shape variation (CV1: 46.68%; CV2: 14.88%). The colored circles in the image above represent the average discrete point centers of populations; the number is the population ID. Thin-plate spline analysis results are shown by colored grid, which represents wing shape deformation. The numbers on the grid are landmarks of wings. Blue colored notes contraction between landmarks, and red color indicates expansion between landmarks. The North group and South group correspond to the boundary of Qinling Mountains as the boundary between northern and southern China.

Fig. 1 in A geometric morphometric study of the wing shapes of Pieris rapae (Lepidoptera: Pieridae) from the Qinling Mountains and adjacent regions: An environmental and distance-based consideration

Fig. 1. Distribution map of the P. rapae populations studied and the integrated physical regionalization (diverse environments) in the Qinling Mountains and adjacent regions. Note: The numbers represent the IDs of the populations; the circles and groups represent the populations divided by the cluster analysis from Fig. 6.

Fig. 3 in A geometric morphometric study of the wing shapes of Pieris rapae (Lepidoptera: Pieridae) from the Qinling Mountains and adjacent regions: An environmental and distance-based consideration

Fig. 3. Boxplot of P. rapae centroid size (CS) with the mean, standard error, and standard deviation illustrating variations in wing size across geographical populations.

Fig. 6 in A geometric morphometric study of the wing shapes of Pieris rapae (Lepidoptera: Pieridae) from the Qinling Mountains and adjacent regions: An environmental and distance-based consideration

Fig. 6. UPGMA tree of P. rapae forewing and hind wing among different populations, based on Euclidian distances between mean wing shapes. The cluster numbers are population IDs (see Table 1).The groups are divided by Euclidian distances, i.e., the forewing divided by a linkage distance at 0.0027 and the hind wing by a linkage distance at 0.0038.

publicJul 2024View details →

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Olfactory learning in Pieris brassicae butterflies is dependent on the intensity of a plant-derived oviposition cue

Open the record for dataset details and reuse information.

opencc-zeroJul 2020View details →

Spectral data and R modeling code from: Polarized light sensitivity in Pieris rapae is dependent on both color and intensity

This dataset provides supplementary spectral data and the R code underlying the spectral sensitivy moding of female Pieris rapae photoreceptors used in the manuscript "Polarized light sensitivity in Pieris rapae is dependent on both color and intensity".

opencc-zeroDec 2017View details →

Data from: Microevolutionary selection dynamics acting on immune genes of the green veined white butterfly, Pieris napi

Insects rely on their innate immune system to successfully mediate complex interactions with their microbiota, as well as the microbes present in the environment. Previous work has shown that components of the canonical immune gene repertoire evolve rapidly and have evolutionary characteristics originating from interactions with fast-evolving microorganisms. Although these interactions are likely to vary among populations, there is a poor understanding of the microevolutionary dynamics of immune genes, especially in non-Dipteran insects. Here we use the full set of canonical insect immune genes to investigate microevolutionary dynamics acting on these genes between and among populations by comparing three allopatric populations of the Green Veined White butterfly, Pieris napi (Lepidoptera, Pieridae). Immune genes showed increased genetic diversity compared to genes from the rest of the genome and various functional categories exhibited different types of signatures of selection, at different evolutionary scales, presenting a complex pattern of selection dynamics. Signatures of balancing selection were identified in 10 genes, and 17 genes appear to be under positive selection. Genes involved with the cellular arm of the immune response as well as the Toll pathway appear to be enriched among our outlier loci, regardless of functional category. This suggests that the targets of selection might focus upon an entire pathway, more than on functional subsets across pathways. Our microevolutionary results are similar to previously observed macroevolutionary patterns from diverse taxa, suggesting that either the immune system is robust to dramatic differences in life history and microbial communities, or that diverse microbes exert similar selection pressures.

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Pieris napi (Green-veined White)

Specimen: Pieris napi (Green-veined White) Object ID: BU49 Photogrammetry scan from The Watt Institution's Lepidoptera collection Source: Objaverse 1.0 / Sketchfab

opencc-byJul 2022View details →

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Pieris napi microRNA mirDeep2 output pdfs

miRDeep2 pdf outputs for diapausing Pieris napi. Code used for miRNA identification and mapping (miRNA_identification_code.txt) Code for identification of nearest feature to miRNAs (closest_featuress_code.txt) Code for identifying differentially expressed genes and clustering (clustering.R) Code for cluster gene set enrichment analysis (GSEA_diapause_all.R) Code for ideification of differentially expressed genes in diapause termination (DEG_specific_comps.R)   From the paper "A time course analysis through diapause reveals dynamic temporal patterns of microRNAs associated with endocrine regulation in the butterfly Pieris napi"

opencc-by-4.0Feb 2024View details →

opencc-zeroNov 2021View details →

Local thermal environment and warming influence supercooling and drive widespread shifts in the metabolome of diapausing Pieris rapae butterflies

Global climate change has the potential to negatively impact biological systems as organisms are exposed to novel temperature regimes. Increases in annual mean temperature have been accompanied by disproportionate rates of change in temperature across seasons, and winter is the season warming most rapidly. Yet, we know relatively little about how warming will alter the physiology of overwintering organisms. Here, we simulated future warming conditions by comparing diapausing Pieris rapae butterfly pupae collected from disparate thermal environments and by exposing P. rapae pupae to acute and chronic increases in temperature. First, we compared internal freezing temperatures (supercooling points) of diapausing pupae that were developed in common-garden conditions but whose parents were collected from northern Vermont, USA, or North Carolina, USA. Matching the warmer winter climate of North Carolina, North Carolina pupae had significantly higher supercooling points than Vermont pupae. Next, we measured the effects of acute and chronic warming exposure in Vermont pupae and found that warming induced higher supercooling points. We further characterized the effects of chronic warming by profiling the metabolomes of Vermont pupae via untargeted LC-MS metabolomics. Warming caused significant changes in abundance of hundreds of metabolites across the metabolome. Notably, there were warming-induced shifts in key biochemical pathways, such as pyruvate metabolism, fructose and mannose metabolism, and β-alanine metabolism, suggesting shifts in energy metabolism and cryoprotection. These results suggest that warming affects various aspects of overwintering physiology in P. rapae and may be detrimental depending on the frequency and variation of winter warming events. Further research is needed to ascertain the extent to which the effects of warming are felt among a broader set of populations of P. rapae, and among other species, in order to better predict how insects may respond to changes in winter thermal environments.