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35 results for “Tenebrio”
Figure 3 from: Sharma L, Oliveira I, Torres L, Marques G (2018) Entomopathogenic fungi in Portuguese vineyards soils: suggesting a 'Galleria-Tenebrio-bait method' as bait-insects Galleria and Tenebrio significantly underestimate the respective recoveries of Metarhizium (robertsii) and Beauveria (bassiana). MycoKeys 38: 1-23. https://doi.org/10.3897/mycokeys.38.26970
Figure 3 Principal component analysis (PCA) and hierarchical clustering of the observations based on the fungal isolations. aPC1 vs. PC2. bPC1 vs. PC3. cPC2 vs. PC3. d PCA 3D plot e Hierarchical clustering dendrogram to access the ecological proximities of obtained fungi based on their respective isolation profiles. Software R 4.3.2 was used to obtain the PCA plots and the hierarchical clustering. There was no fungal isolation from hedgerows from the farm Granja when bait-insect T.molitor was used and hence, it could not be included in any of the analysis which relies on proportions, i.e. PCA plots, hierarchical clustering. To reduce any bias, the authors also discarded the soil samples (N=1) which yielded the fungal isolations, when G.mellonella was used, from the hedgerows of the farm Granja. The blue balls represent relatively more frequent EPF, i.e. Beauveriabassiana, Beauveriapseudobassiana, Clonostachysroseaf.rosea, Cordycepscicadae, Purpureocilliumlilacinum and Metarhiziumrobertsii. The red balls represent other fungi such as Cordyceps sp., Lecanicilliumaphanocladii, Lecanicilliumdimorphum, Metarhiziumguizhouense and Purpureocilliumlavendulum. Hierarchical clustering based dendrogram classified isolated EPF into two clusters, i.e. rarely occurring EPF (cluster 1) and relatively more frequent EPF (cluster 2). Abbreviations used are: Beauveriabassiana (B.b), Beauveriapseudobassiana (B.p), Cordycepscicadae (C.c), Cordyceps sp. (C.sp), Lecanicilliumaphanocladii (L.a), Lecanicilliumdimorphum (L.d), Metarhiziumguizhouense (M.g), Purpureocilliumlavendulum (P.la), Purpureocilliumlilacinum (P.l), Clonostachysroseaf.rosea (C.rr) and Metarhiziumrobertsii (M.r).
Figure 2 from: Sharma L, Oliveira I, Torres L, Marques G (2018) Entomopathogenic fungi in Portuguese vineyards soils: suggesting a 'Galleria-Tenebrio-bait method' as bait-insects Galleria and Tenebrio significantly underestimate the respective recoveries of Metarhizium (robertsii) and Beauveria (bassiana). MycoKeys 38: 1-23. https://doi.org/10.3897/mycokeys.38.26970
Figure 2 Effect of insect baiting and habitat-type on the isolation of the entomopathogenic fungi. a Occurrence (% of soil samples ± SE) of entomopathogenic fungi when different bait-insects were incorporated b Occurrence (% of soil samples ± SE) of entomopathogenic fungi when soils were collected from different habitat-types. Bars with asterisk (*) show significant isolations, i.e. (P<0.05).
Figure 1 from: Sharma L, Oliveira I, Torres L, Marques G (2018) Entomopathogenic fungi in Portuguese vineyards soils: suggesting a 'Galleria-Tenebrio-bait method' as bait-insects Galleria and Tenebrio significantly underestimate the respective recoveries of Metarhizium (robertsii) and Beauveria (bassiana). MycoKeys 38: 1-23. https://doi.org/10.3897/mycokeys.38.26970
Figure 1 Geographic coordinates and altitudes of the farms and details of the soil sampling strategy adopted. a Details of the six farms of the Douro Wine Region, Portugal, which were considered in this study b Details of the soil sampling strategy from vineyards and adjacent hedgerows.
Supplementary material 1 from: Sharma L, Oliveira I, Torres L, Marques G (2018) Entomopathogenic fungi in Portuguese vineyards soils: suggesting a 'Galleria-Tenebrio-bait method' as bait-insects Galleria and Tenebrio significantly underestimate the respective recoveries of Metarhizium (robertsii) and Beauveria (bassiana). MycoKeys 38: 1-23. https://doi.org/10.3897/mycokeys.38.26970
Supplementary tables :
FIGURE 9 in Identities of Tenebrio Linnaeus types at Uppsala, and the resulting changes in old darkling beetle names (Insecta: Coleoptera: Tenebrionidae)
FIGURE 9. UUZM Linnean darkling beetle, HT, Tenebrio gigas L., det. Blaps gigas (L.).
Survival of antimicrobial peptide resistant Staphylococcus aureus in mealworm beetles (Tenebrio molitor) with manipulated AMPexpression
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Data from: Genetic and phenotypic relationships between immune defense, melanism and life history traits at different temperatures and sexes in Tenebrio molitor
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Data from: Social cues trigger differential immune investment strategies in a non-social insect, Tenebrio molitor
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Nutritional Intervention With Tenebrio Molitor Powder in Children With Chronic Malnutrition in the Democratic Republic of the Congo
ClinicalTrials.gov study NCT07284095. IPD Sharing: UNDECIDED. Countries: 1. Publications: 0.
True Ileal Amino Acid Digestibility of Tenebrio Molitor Larvae in Women
ClinicalTrials.gov study NCT05885191. IPD Sharing: NO. Countries: 1. Publications: 0.
Evaluation of the metabolic effects of insect meal from Tenebrio molitor L. in skeletal muscle of growing pigs by transcriptomics
GEO Series GSE138241. Sus scrofa. 18 samples. Type: Expression profiling by array.
FIGURE 10 in Identities of Tenebrio Linnaeus types at Uppsala, and the resulting changes in old darkling beetle names (Insecta: Coleoptera: Tenebrionidae)
FIGURE 10. Illustration of Tenebrio gibbus Fabricius from Staig (1940), det. Moluris gibbus (Pallas).
FIGURES 5–6 in Identities of Tenebrio Linnaeus types at Uppsala, and the resulting changes in old darkling beetle names (Insecta: Coleoptera: Tenebrionidae)
FIGURES 5–6. Linnean darkling beetles of Tenebrio gibbus L. Fig. 5. LT, det. Psammodes gibbus (L.), comb. nov., NHRS. Fig. 6. Non-type specimen, det. Amnodeis aff. giganteus (Reiche & Saulcy, 1857), UUZM.
Evaluation of the metabolic effects of insect meal from Tenebrio molitor L. in the liver of growing pigs by transcriptomics
GEO Series GSE138244. Sus scrofa. 18 samples. Type: Expression profiling by array.
Nutrigenomics in Animal Feeding: Digital Gene Expression Analysis in Poultry Fed Tenebrio molitor Larvae Meal
GEO Series GSE197444. Gallus gallus. 8 samples. Type: Expression profiling by high throughput sequencing.
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