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77 results for “Olea”
Supplementary data for "Machine learning-based prediction of activity and substrate specificity for OleA enzymes in the thiolase superfamily"
<p>Supplementary data for "Machine learning-based prediction of activity and substrate specificity for OleA enzymes in the thiolase superfamily"</p>
Potential and realized distribution at 30m for Olive tree (Olea europaea) in Europe for 2000 - 2020
<p>Probability and uncertainty maps showing the potential and realized distribution for the olive tree (<em>Olea europaea, L.</em>) for Europe from the dataset prepared by <a href="http://doi.org/10.5281/zenodo.5818021">Bonannella et al. (2022)</a> and predicted using Ensemble Machine Learning (EML). Potential distribution map cover the period 2018 - 2020; realized distribution cover the period 2000 - 2020, split in the following time periods:</p> <ul> <li>2000 - 2002,</li> <li>2002 - 2006,</li> <li>2006 - 2010,</li> <li>2010 - 2014,</li> <li>2014 - 2018,</li> <li>2018 - 2020.</li> </ul> <p>Files are named according to the following naming convention, e.g:</p> <ul> <li>veg_olea.europaea_anv.eml_md_30m_0..0cm_2000..2002_eumap_epsg3035_v0.3</li> </ul> <p>with the following fields:</p> <ul> <li>theme: e.g. <strong>veg</strong>,</li> <li>species code: e.g. <strong>olea.europaea</strong>,</li> <li>species distribution type: e.g. <strong>anv</strong> (= actual natural vegetation),</li> <li>species estimation method: e.g. <strong>eml</strong>,</li> <li>species estimation type: e.g. <strong>md</strong> ( = model deviation),</li> <li>resolution in meters e.g. <strong>30m</strong>,</li> <li>reference depths (vertical dimension): e.g. <strong>0..0cm</strong>,</li> <li>reference period begin end: e.g. <strong>2000..2002</strong>,</li> <li>reference area: e.g. <strong>eumap</strong>,</li> <li>coordinate system: e.g. <strong>epsg3035</strong>,</li> <li>data set version: e.g. <strong>v0.3</strong>.</li> </ul> <p>For each species is then easy to identify probability and uncertainty distribution maps:</p> <ul> <li>veg_olea.europaea_<strong>anv</strong>.eml_<strong>md</strong>: model uncertainty for realized distribution</li> <li>veg_olea.europaea_<strong>anv</strong>.eml_<strong>p</strong>: probability for realized distribution</li> <li>veg_olea.europaea_<strong>pnv</strong>.eml_<strong>md</strong>: model uncertainty for potential distribution</li> <li>veg_olea.europaea_<strong>pnv</strong>.eml_<strong>p</strong>: probability for potential distribution</li> </ul> <p>Files are provided as <a href="https://gdal.org/drivers/raster/cog.html">Cloud Optimized GeoTIFFs</a> and projected in the Coordinate Reference System ETRS89 / LAEA Europe (= EPSG code 3035). Styling files are provided in both <em>SLD</em> and <em>QML</em> format.</p> <p>If you would like to know more about the creation of the maps and the modeling:</p> <ul> <li><strong>watch</strong> the talk at Open Data Science Workshop 2021 (<a href="https://doi.org/10.5446/55256">TIB AV-PORTAL</a>)</li> <li><strong>access </strong>the repository with our R/Python scripts and follow the instructions (<a href="https://gitlab.com/geoharmonizer_inea/spatial-layers/-/tree/master/veg_mapping">GitLab</a>)</li> <li><strong>access </strong>the repository with the training dataset (<a href="https://doi.org/10.5281/zenodo.5818021">Zenodo</a>)</li> <li><strong>read </strong>the tutorial with executable code on our <a href="https://opengeohub.github.io/spatial-prediction-eml/spatiotemporal-ml.html#spatiotemporal-distribution-of-fagus-sylvatica">GitBook</a></li> </ul> <p>A publication describing, in detail, all processing steps, accuracy assessment and general analysis of species distribution maps is available on <a href="https://doi.org/10.7717/peerj.13728">PeerJ</a>. To suggest any improvement/fix use <a href="https://gitlab.com/geoharmonizer_inea/spatial-layers/-/issues">https://gitlab.com/geoharmonizer_inea/spatial-layers/-/issues</a>.</p>
Figure 1 in Embryonic development of the olive fruit fly, Bactrocera oleae Rossi (Diptera: Tephritidae), in vivo
Figure 1. In vivo photographic illustration of Bactrocera oleae eggs. A) Anterior and posterior ends of the egg (1 h old); B) the chorion; C), D), and E) sequence of pole cell formation in a living embryo. The arrow indicates the posterior tip of the egg.
Figure 3 in Hymenoptera parasitoid complex of Prays oleae (Bernard) (Lepidoptera: Praydidae) in Portugal
Figure 3. Some of the parasitoids of P.oleae collected in this study, not yet identified in Portugal.
Figuras 1–3. Melanaspis obscura, hembra adulta. 1 in Diaspididae (Hemiptera: Coccoidea) en olivo, Olea europaea Linnaeus (Oleaceae), en Brasil
Figuras 1–3. Melanaspis obscura, hembra adulta. 1) PI - pigidio. 2) PA - paráfise, L1 - lóbulo mediano, L2 - segundo lóbulo, L3 - tercer lóbulo, L4 - cuarto lóbulo. 3) GC - glándulas circungenitales.
OlSiFaComp : A database for Olea: Olive Self-Incompatibility Flower Allelic Composition
<p><strong>Introduction</strong> : Data on olive cross and selfing studies were numerous and dispersed in literature. Varieties were list in lines, and each line correspond to one data – bag, pollen test, paternity tests, ...To compare data in bags standardization was achieved based on 100 hermaphroditic flowers.</p> <p><strong>Materials and methods</strong> : Data from publications were recorded keeping the name of origin for each variety. Varieties in pair wise combinations in crosses enabled to decipher the S-allele pair (Breton and Bervillé 2012, Farinelli et al. 2014) leading to attribute the PASI pair. The G group (Saumitou-Laprade et al. 2017) was recorded from Mariotti et al. 2021.</p> <p><strong>Results</strong> : The DSI pair and the PASI pair were introduced and sorting data by screening G1xG2 (1 for fruit) and G2xG1 (1) whereas by screening G1xG1 (0) and G2XG2 (0) show that all crosses display fruit. The DSSM reconciles DSI and PASI to explain Self-incompatibility. Selfing was shown appearing when crosses were 1-0 or 0-1, but not when 1-1, whereas some expected 0-0 combinations lead to fruit. Moreover, paternity tests (column embryo) revealed most of the time a father compatible in DSI , but incompatible in PASI, this is due to DS-D, that shows compatible pollen is insufficient.</p> <p>The database is useful to check whether the variety has already been studied for SI. It enables to check the homogeneity of cross data in literature.</p>
Temporal mismatches in flight activity patterns between Pipistrellus kuhlii and Prays oleae in Mediterranean olive farms: Implications for biocontrol services potential
<ol> <li>Biocontrol services are widely recognized as providing key incentives for bat conservation. However, we have virtually no information on whether and how disruptions in bat-mediated biocontrol services are driven by mismatches between the temporal activity patterns of insectivorous bats and insect pests.</li> <li>2. We investigated the temporal relationship between the nightly activity patterns of the common pipistrelle bat (<em>Pipistrellus</em> <em>kuhlii</em>) and the olive fruit moth (<em>Prays</em> <em>oleae</em>). Temporal mismatches between species pairs were estimated as the time difference (expressed as a percentage of the night) at which <em>P. kuhlii </em>and<em> P. oleae</em> reached 50% of their abundance.</li> <li>The study was carried out during spring, summer, and fall between 2017 and 2019 in 60 olive farms representing increasing levels of structural simplification (as a surrogate of agricultural intensification). Olive farms were classified as exhibiting high (i.e., HIGH olive farms; n = 27), intermediate (MID; n = 18), and low (LOW; n = 15) structural complexity. </li> <li>Temporal mismatches between the activity levels of<em> P. kuhlii </em>and<em> P. oleae</em> varied between seasons and types of olive farms, being comparatively lower in summer than in spring and fall. Furthermore, summer was the only season in which temporal mismatches between species pairs differed between types of olive farms, with higher temporal mismatches found in LOW than in HIGH and MID olive farms.</li> <li>Overall, our work demonstrates the existence of temporal mismatches between the nightly activity patterns of <em>P. kuhlii </em>and<em> P. oleae</em>. Furthermore, it demonstrates that the structural simplification of olive farms increases temporal mismatches between species pairs, particularly in summer when bat-mediated biocontrol services are most needed.</li> <li> <em>Synthesis and applications</em>. Future research should consider mismatches between the temporal activity patterns of insectivorous bats and insect pests. Otherwise, the actual impact of agricultural intensification on bat-mediated biocontrol services as well as the economic impact of their loss on the agriculture industry might be underestimated. To enhance biocontrol services, we propose increasing the availability of suitable roosting and foraging sites as well as conserving areas of remnant native woodland and scattered hollow-bearing trees.</li> </ol>
Dataset and R script for Collection and Processing of Behavioural Data of the Olive Fruit Fly, Bactrocera oleae, when Exposed to Olive Twigs Treated with Different Commercial Products
<p>We provide raw data and R script for analysis of data published in:</p> <p>1) Daher, E.; Cinosi, N.; Chierici, E.; Rondoni, G.; Famiani, F.; Conti, E. Field and Laboratory Efficacy of Low-Impact Commercial<br> Products in Preventing Olive Fruit Fly, Bactrocera oleae, Infestation. Insects 2022, 13, 213. https://doi.org/10.3390/insects13020213</p> <p>2) Daher, E.; Chierici, E.; Cinosi, N.; Rondoni, G.; Famiani, F.; Conti, E. Collection and Processing of Behavioural Data of the Olive Fruit Fly, <em>Bactrocera oleae</em>, when Exposed to Olive Twigs Treated with Different Commercial Products. <em>Data </em><strong>2022</strong>, <em>7</em>,</p>
Figure 3 in Embryonic development of the olive fruit fly, Bactrocera oleae Rossi (Diptera: Tephritidae), in vivo
Figure 3. Hatching of Bactrocera oleae egg by 66 h (A, B, C, and D).
Figure 1 in Hymenoptera parasitoid complex of Prays oleae (Bernard) (Lepidoptera: Praydidae) in Portugal
Figure 1. Map of Portugal showing the regions where parasitoid inventories were done.
Figure 4 in Hymenoptera parasitoid complex of Prays oleae (Bernard) (Lepidoptera: Praydidae) in Portugal
Figure 4. Canonical correspondence analysis between parasitoids and pest generations.
Figure 2 in Hymenoptera parasitoid complex of Prays oleae (Bernard) (Lepidoptera: Praydidae) in Portugal
Figure 2. Distribution of the parasitoids collected by family.
Figure 2 in Notes on distribution and hosts of Hylesinus mexicanus (Wood) (Coleoptera: Curculionidae: Scolytinae), a pest on Olea europaea Linnaeus
Figure 2. Hylesinus mexicanus (Wood), a) dorsal view, b) lateral view, c) ventral view.
[Data from:] Chemical cues involved in the host foraging behavior of Psyttalia concolor wasps to locate the olive fruit fly Bactrocera oleae
<p>Investigate the role of oviposition- (OIPVs) and herbivore-induced plant volatiles (HIPVs) emitted by olive trees upon infestation by <em>Bactrocera oleae </em>as well as cues emitted by the insect host <em>B. oleae.</em></p>
Temporal mismatches in flight activity patterns between Pipistrellus kuhlii and Prays oleae in Mediterranean olive farms: Implications for biocontrol services potential
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Data from: Genetic relationships, structure and parentage simulation among the olive tree (Olea europaea L. subsp. europaea) cultivated in Southern Italy revealed by SSR markers
In this work, we assess both the morphological and genetic diversity of 68 important olive cultivars from three Southern Italian regions: Calabria, Campania and Sicily. Twenty-five phenotypic traits were evaluated and 12 simple sequence repeat (SSR) markers were analysed. All SSR primers were polymorphic and reliable. The total number of alleles per locus varied from 5 to 19 with an average number of 13.1 and a mean polymorphic information content (PIC) of 0.81. These results suggested high genetic diversity within these three olive germplasm collections. Morphological traits also showed significant variability amongst cultivars. Two cases of identity were found and ten statistically significant cases of putative parent/sibling were discovered by performing a SSR-based parentage simulation analysis with CERVUS. The Mantel test indicated low but significant correlations between the morphological data and SSR allelic frequency, origin and SSR allelic frequency, and origin and morphology. Structure software allowed inference of relationships between the three olive germplasm collections and allowed us to obtain the most consistent grouping and to identify putative admixed or exchanged cultivars. Cluster and multivariate analysis, based on morphological traits, revealed geographic grouping in agreement with UPGMA dendrogram and structure analysis using SSRs. Sicilian cultivars showed a more homogenous genetic makeup, probably due to geographical isolation, whilst Calabrian and Campanian cultivars seemed to have a less distinct genetic structure, with a greater degree of intermixing. A correlation between the presence of certain SSR alleles and fruit size was also found.
Data from: The relevance of gene flow in metapopulation dynamics of an oceanic island endemic, Olea europaea subsp guanchica
Theoretical and empirical studies suggest that geographical isolation and extinction-recolonization dynamics are two factors causing strong genetic structure in metapopulations. Here, we investigated the effect of population age structure and isolation by distance in the patterns of genetic diversity in a tree species (Olea europaea subsp. guanchica) sporadically affected by volcanic events across the Canarian archipelago. Genetic variation was assessed at six nuclear microsatellites (nDNA) and six chloroplast fragments (cpDNA) in nine subpopulations sampled on four oceanic islands. Subpopulations occurring on more recent substrates were more differentiated than those on older substrates, but within-subpopulation genetic diversity was not significantly different between age groups for any type of marker. Contrary to the general trend for island systems, between-island differentiation was extremely low, and lower than differentiation between subpopulations on the same island. The pollen-to-seed ratio was close to one, two orders of magnitude lower than the average estimated for other wind-pollinated, animal-dispersed plants. Our results showed that population turnover and geographical isolation increased genetic differentiation relative to an island model at equilibrium, but overall genetic structure was unexpectedly weak for a species distributed among islands. This empirical study shows that extensive gene flow, particularly mediated by seeds, can ameliorate population subdivision resulting from extinction-recolonization dynamics and isolation by distance
Genome assembly of Olea europaea subsp. cuspidate
<p><strong>Background: </strong>The Olive complex, comprised of six subspecies, are very valuable plants for global trade, human health, and food safety. However, only one subspecies (<em>Olea europaea</em> subsp. <em>europaea</em>, OE) and its wild form (<em>Olea europaea</em> subsp. <em>europaea</em> var. sylvestris, OS) have genomic references, hindering our understanding on the evolution of this species.</p> <p><strong>Results: </strong>By utilizing a hybrid approach to incorporate Illumina, Nanopore, and Hi-C technology, we obtained by far the best reference genome assembly among wild olive subspecies for African olive, <em>Olea europaea</em> subsp <em>cuspidate</em> (OC) with contig and scaffold N50 values 3.83 Mb and 38.04 Mb, respectively. The assessment of protein-coding gene completeness revealed the high integrity of OC, which is at the similar level as OE assembly reported previously and much higher than that of OS. The divergence time between OC and the last common ancestor of OE and OS was estimated to be 4.21 Mya (95% CI: 1.43 - 7.31 Mya). The pathways of positively selected genes of OC are related to metabolism of cofactors and vitamins, indicating the potential medical and economic values of OC for further utilizing and research. The gene origination analyses revealed a substantial outburst (19.5%) of gene transposition events in the common ancestor of olive subspecies, suggesting the importance of olive speciation in shaping the new gene evolution of OC subspecies.</p> <p><strong>Conclusions: </strong>In this study, we constructed the de novo assembly and protein-coding gene pool for <em>Olea europaea</em> subsp <em>cuspidate</em> (OC), which may facilitate the medical and breeding utilizations of this widely distributed olive close relative.</p>
Effect of Using Ethanol Extract of Artocarpus heterophyllus Leaves and Olea Europa Fruit Oil Combination on Facial Skin
<p>The volunteers were applied to the clay mask once a week and then were observed before and after application, as follows: moisture, skin oil, skin texture, collagen, wrinkle, pigment, and sensitivity using a skin analyzer (Skin Observed System).</p>
FIGURE 7 in Eggs sunny-side up: A new species of Olea, an unusual oophagous sea slug (Gastropoda: Heterobranchia: Sacoglossa), from the western Atlantic
FIGURE 7. Digestive system of Olea hensoni n. sp. A, Lateral view. B, Dorsal view. C, Radula. D, Midgut, lateral view, cut longitudinally to show inner surface. an, anus; bm, buccal mass; dg, digestive gland; ds, septate muscle; es, esophagus; in, intestine; ma, ascus musculature; ns, central nervous system; sg, salivary glands; st, stomach. Scale: 0.5 mm.
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