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Figure 1 from: Schneider SA, Fizdale MA, Normark BB (2019) An online interactive identification key to common pest species of Aspidiotini (Hemiptera, Coccomorpha, Diaspididae), version 1.0. ZooKeys 867: 87-96. https://doi.org/10.3897/zookeys.867.34937
Figure 1 Aspidiotine general morphology. This diagram exemplifies a composite aspidiotine species, illustrating major anatomical features, body segmentation, and traits that a user would encounter in the key. The illustration orients users to the appearance of slide-mounted specimens and terminology used to describe their features. The illustration is based on a similar image presented by Miller and Davidson (2005), their Figure 3. Illustration by Taina Litwak.
Figure 3 from: Schneider SA, Fizdale MA, Normark BB (2019) An online interactive identification key to common pest species of Aspidiotini (Hemiptera, Coccomorpha, Diaspididae), version 1.0. ZooKeys 867: 87-96. https://doi.org/10.3897/zookeys.867.34937
Figure 3 Abdominal segmentation. This diagram shows pygidial segmentation as it is defined for the purposes of this key. The panels highlight (A) the pygidium (B) abdominal segment 8 (C) abdominal segment 7 (D) abdominal segment 6 and (E) abdominal segment 5. Illustrations by Taina Litwak.
Figure 2 from: Schneider SA, Fizdale MA, Normark BB (2019) An online interactive identification key to common pest species of Aspidiotini (Hemiptera, Coccomorpha, Diaspididae), version 1.0. ZooKeys 867: 87-96. https://doi.org/10.3897/zookeys.867.34937
Figure 2 Aspidiotine pygidial morphology. This diagram provides an enlarged view of the general pygidial morphology of aspidiotines. This serves as another guide to the appearance of anatomical features and their terminology. Illustration by Taina Litwak.
Figure 1 from: Li Q, Hu H, Triapitsyn S, Yi L, Lu J (2018) Anagrus dmitrievi sp. n. (Hymenoptera, Mymaridae), an egg parasitoid of Zyginidia eremita (Hemiptera, Cicadellidae), a pest of maize in Xinjiang, China. ZooKeys 736: 43-57. https://doi.org/10.3897/zookeys.736.20883
Figure 1 - Anagrus dmitrievi (female, holotype): A slide B antennae (complete antenna without mps on F4; F4 of the incomplete antenna with 1 mps) C body D mesoscutum (arrows pointing to adnotaular setae on its midlobe).
Figure 6 from: Li Q, Hu H, Triapitsyn S, Yi L, Lu J (2018) Anagrus dmitrievi sp. n. (Hymenoptera, Mymaridae), an egg parasitoid of Zyginidia eremita (Hemiptera, Cicadellidae), a pest of maize in Xinjiang, China. ZooKeys 736: 43-57. https://doi.org/10.3897/zookeys.736.20883
Figure 6 - Records of Zyginidia eremita in Xinjiang. The large star denotes the type locality of Anagrus dmitrievi .
Figure 4 from: Li Q, Hu H, Triapitsyn S, Yi L, Lu J (2018) Anagrus dmitrievi sp. n. (Hymenoptera, Mymaridae), an egg parasitoid of Zyginidia eremita (Hemiptera, Cicadellidae), a pest of maize in Xinjiang, China. ZooKeys 736: 43-57. https://doi.org/10.3897/zookeys.736.20883
Figure 4 - A parasitized eggs of Zyginidia eremita by Anagrus dmitrievi in a maize leaf B an adult female of A. dmitrievi right after emergence C an adult male of A. dmitrievi .
Figure 2 from: Li Q, Hu H, Triapitsyn S, Yi L, Lu J (2018) Anagrus dmitrievi sp. n. (Hymenoptera, Mymaridae), an egg parasitoid of Zyginidia eremita (Hemiptera, Cicadellidae), a pest of maize in Xinjiang, China. ZooKeys 736: 43-57. https://doi.org/10.3897/zookeys.736.20883
Figure 2 - Anagrus dmitrievi (female, holotype): A ovipositor (arrows pointing to distal setae on one of its external plates, or second valvifers) B fore and hind wings.
Predation test results and dynamics between three species of soil-dwelling predatory mites and early stages of maize pest.
<p>PREDATORY MITES</p> <p> The three species used in this experiment were stored in climatic chambers at 25°C +/- 0,5°C and 70% +/- 10 RH% with constant obscurity. A mix of <em>Aleuroglyphus ovatus</em> stages was used as food and extra water was provided three times a week in a 100 mm x 94 mm bugdorm-5002 with 30µm nylon screen port sold by Bugdorm©.</p> <p><em>Macrocheles robustulus</em></p> <p> Koppert Biological systems provided <em>Macrocheles robustulus</em>. Their product is called Macro-mite©. We maintained them on vermiculite for 2 months with a mix of <em>A. ovatus</em> stages.</p> <p><em>Gaeolaelaps aculeifer</em></p> <p><em> </em><em>Gaeolaelaps aculeifer</em> is produced by EWH Bioproduction, Denmark. The population was maintained during 8 months on a substrate made of 1/3 third blond sphagnum peat and 2/3 of fine vermiculite and fed with a mix of <em>A. ovatus</em> stages.</p> <p><em>Stratiolaelaps scimitus</em></p> <p> <em>Stratiolaelaps scimitus</em> individuals used in this experiment are produced by Bioline AgroSciences. The product is called Hypoline©. This population has been maintained on blond sphagnum peat and fed with a mix of <em>A. ovatus</em> stages for 2 years.</p> <p>PREYS</p> <p> We experimented eggs and first instar larvae for both <em>Diabrotica virgifera virgifera</em> and <em>Agriotes sordidus </em>as potential prey. We also added <em>Aleuroglyphus ovatus</em> eggs as a positive control of predation activity since astigmatid mites are known to be a suitable food source for those species (Rueda-Ramirez et al. 2018).</p> <p><em>Diabrotica virgifera virgifera</em> eggs</p> <p> WCR diapausing eggs were provided by the Centre of Agriculture and Bioscience International (CABI), Hungary. They were stored at 7°C +/- 0,5°C below their temperature of development (Meinke et al. 2009). We sieved the eggs from their substrate and selected only turgescent eggs to offer them to the predatory mites.</p> <p><em>Diabrotica virgifera virgifera</em> first instar larvae</p> <p> We placed WCR eggs on the plaster of Paris in a climatic chamber at 25°C +/- 0,5°C and 70% +/- 10 RH%. We added water twice a week to keep the plaster of Paris moist. We checked daily if eggs hatched and introduced the first instar larvae in the predation device.</p> <p><em>Agriotes sordidus</em> eggs</p> <p> Arvalis provided <em>Agriotes sordidus</em> eggs and first instar larvae by sending us a couple of adults ready to lay eggs in Petri dishes filled with a sample of soil where they have been collected. Both eggs and first instar larvae have been extracted from this dirt.</p> <p><em>Aleuroglyphus ovatus</em> eggs</p> <p><em> </em><em>A. ovatus</em> eggs are produced by Bioline AgroSciences. Eggs were sterilized before presentation to the predatory mites.</p> <p><em>Ephestia kuehniella </em>eggs<br> </p> <p><em> E. kuehniella </em>eggs are produced by Bioline Agrosciences. Eggs were sterilized before presentation to the predatory mites.</p> <p> PREDATION DEVICE</p> <p> Predation tests have been inspired by El Adouzi, Bonato, et Roy 2017; Lovis et al. 2011 and Nordenfors et Hoglund 2000 protocols by isolating each mite individually. However, we chose to carry out the predation tests in 2 mL Eppendorf tubes containing each 1 mL of dried plaster of Paris to maintain a high percentage of humidity necessary to soil-dwelling predatory mites survival (El Adouzi, Bonato, et Roy 2017). Adult mites of both sexes were individually isolated and starved for 7 days in the tubes before the predation tests. In total, 240 predatory mites have been isolated with 1/3 of each species to present them to 4 different types of prey. Twenty predation tests were made by prey/predator couple. <br> During the 7-days period of starvation, we added 100µL of water every 3 days to maintain a suitable relative humidity necessary for soil-dwelling predatory mites survival. We also drilled the top of the tube and covered it with a 106 µm mesh width nylon tissue. This size of mesh allowed for water and gas exchange while preventing mites from leaving the tube. These tubes were stored in a climatic chamber at 25°C +/- 0,5°C with 70% +/- 10% RH. All three species were active after this period of storage and starvation.</p> <p> We introduced 20 times one prey in a tube containing a predatory mite and observed predation activity during a maximum of 10 minutes or less if predation happens before that timing. We observed each mite feeding or non-feeding activity through the tube with a binocular. We used an indirect source of light, controlled at 100 lux (measured with the Digital Illuminance meter TES 1335), to minimize natural behavior disruption of these lucifugous species. During each assay, the timing and number of contacts between the predator and the prey before predation were noted. We considered predation activity when mites impaled the prey with their chelicerae. We chose to observe predation on a short duration because some of the prey could be impacted by plaster of Paris abrasive texture if it dries up.</p>
Supplementary material 4 from: Bowser ML, Burr SJ, Davis I, Dubois GD, Graham EE, Moan JE, Swenson SW (2019) A test of metabarcoding for Early Detection and Rapid Response monitoring for non-native forest pest beetles (Coleoptera). Research Ideas and Outcomes 5: e48536. https://doi.org/10.3897/rio.5.e48536
Sequences of amplicon sequence variants in FASTA format.
Figure 3 from: Bowser ML, Burr SJ, Davis I, Dubois GD, Graham EE, Moan JE, Swenson SW (2019) A test of metabarcoding for Early Detection and Rapid Response monitoring for non-native forest pest beetles (Coleoptera). Research Ideas and Outcomes 5: e48536. https://doi.org/10.3897/rio.5.e48536
Figure 3 Phylogenetic tree of HTS sequences generated using qiime phylogeny align-to-tree-mafft-fasttree, accepting default parameters. The graphic was rendered using the Interactive Tree Of Life (Letunic and Bork 2019). An interactive version of this tree is available at https://itol.embl.de/tree/1641591522462921555104654. Colors hightlight major taxonomic groups.
Supplementary material 3 from: Bowser ML, Burr SJ, Davis I, Dubois GD, Graham EE, Moan JE, Swenson SW (2019) A test of metabarcoding for Early Detection and Rapid Response monitoring for non-native forest pest beetles (Coleoptera). Research Ideas and Outcomes 5: e48536. https://doi.org/10.3897/rio.5.e48536
Amplicon sequence variant table in standard text format
Figure 2 from: Bowser ML, Burr SJ, Davis I, Dubois GD, Graham EE, Moan JE, Swenson SW (2019) A test of metabarcoding for Early Detection and Rapid Response monitoring for non-native forest pest beetles (Coleoptera). Research Ideas and Outcomes 5: e48536. https://doi.org/10.3897/rio.5.e48536
Figure 2 Comparison of identifications based on morphological and HTS methods. Columns are samples and rows are identifications. White: non-detections. Blue: morphological detections. Red: HTS detections. Purple: detections by both methods.
Supplementary material 2 from: Bowser ML, Burr SJ, Davis I, Dubois GD, Graham EE, Moan JE, Swenson SW (2019) A test of metabarcoding for Early Detection and Rapid Response monitoring for non-native forest pest beetles (Coleoptera). Research Ideas and Outcomes 5: e48536. https://doi.org/10.3897/rio.5.e48536
RTL Genomics Data Analysis Methodology
Figure 2 in First Occurrence and Population Dynamics of Blissus pulchellus (Hemiptera: Blissidae) in Brazil: a new pest of pastures in Roraima
Figure 2 Population dynamics of Blissus pulchellus (A) and climatic data (B) (maximum, mean and minimum temperatures and rainfall) in the municipality of Alto Alegre, Roraima, Brazil, from June 2016 to June 2018.
Figure 1. a-b in Postembrionic development and reproductive parameters of the grasshopper pest Borellia bruneri (Acrididae: Gomphocerinae) under controlled conditions
Figure 1. a-b, nymphs in first stage breeding under controlled conditions, c- nymphs of five stage, d- male and female adults.
Fig. 1 in Identification and pest status of Holopothrips fulvus (Thysanoptera: Phlaeothripidae) on dwarf-cashew crops in northeastern Brazil
Fig. 1. Damage caused by Holopothrips fulvus (Morgan, 1929) on dwarf-cashew as shown (A) around the point of insertion of the kernel into the pseudofruit; (B) at various points on the leaf surface, resulting in yellowing, wilting and, ultimately, abscission; and (C) on inflorescences. H. fulvus adults and nymphs (D) are present in the field throughout the year, especially during warmer conditions.
Figure 4 in Trapping Records of Fruit Fly Pest Species (Diptera: Tephritidae) on Oahu (Hawaiian Islands): Analysis of Spatial Population Trends
Figure 4. Mean captures per trap per day of C. capitata in trimedlure traps (2006–2008) at each trapping site on Oahu.
Figure 3 in Trapping Records of Fruit Fly Pest Species (Diptera: Tephritidae) on Oahu (Hawaiian Islands): Analysis of Spatial Population Trends
Figure 3. Mean captures per trap per day of B. dorsalis in methyl eugenol traps (2006–2008) at each trapping site on Oahu.
Figure 2 in Trapping Records of Fruit Fly Pest Species (Diptera: Tephritidae) on Oahu (Hawaiian Islands): Analysis of Spatial Population Trends
Figure 2. Mean captures per trap per day of B. cucurbitae in cue-lure traps (2006–2008) at each trapping site on Oahu.
Figure 2 in Temporal variation and spatial distribution of the pest insect Edessa meditabunda in cotton (Gossypium hirsutum) as an alternative host plant
Figure 2. Surface maps constructed based on Inverse Distance Weight (IDW) interpolation showing spatial distribution of nymphs in cotton between 70 (A), 77 (B), 84 (C), 91 (D) days after emergence (DAE) and Sum of all Evaluations (E). Low density is represented in green while red indicates high density of E. meditabunda.
ScienceDex guides
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
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.