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51 results for “Blood meal”
Figure 1 in Identification of blood meals in field collected Culex pipiens, Anopheles sacharovi and Culex tritaeniorhynchus (Diptera: Culicidae) using the ELISA method
Figure 1. Sampling localities of Anopheles sacharovi, Culex pipiens, Culex tritaeniorhynchus populations (1. Huzurkent, 2. Düziçi, 3. Akhisar, 4. Dalaman, 5. Gelendost, 6. Selçuk, 7. Karataş, 8. Eşme, 9. Türkoğlu, 10. Dörtyol, 11. Kırıkhan, 12. Manavgat, 13. Afyon, 14. Tarsus, 15. Kadirli, 16. Aydın, 17. Kozan, 18. Sandıklı, 19. Dinar, 20. Uşak, 21. Ceyhan, 22. Antalya, 23. Tuzla 24. İzmir, 25. Söke, 26. Kuşadası, 27. Akköy). Red stars indicate locations where Cx. pipiens was sampled, the green diamond shape indicates locations of Cx. tritaeniorhynchus and the blue pins indicate the locations of An. sacharovi.
Figure 2 in Identification of blood meals in field collected Culex pipiens, Anopheles sacharovi and Culex tritaeniorhynchus (Diptera: Culicidae) using the ELISA method
Figure 2. Percentage distributions of single and multiple host meal choices for three mosquito species collected in the Aegean and Mediterranean regions.
Feeding black soldier fly larva to replace soybean meal in growing pigs – responses in the amine metabolites in blood
<p>Insect meals from black soldier fly (<em>Hermetia illucens</em>; BSF) larvae as dietary protein source have the ability to deliver nutrients, particularly dietary amino acids (AA) and could provide functional properties that positively supports animal health and productivity. More knowledge, however, is needed to assess the impact of BSF based diet on gut and animal health. Sixteen male pigs with an average initial body weight of 34.9 ± 3.4 kg were randomly assigned to groups fed for three weeks with iso-caloric and iso-proteinaceous experimental diets prepared with either soybean meal (SBM) as reference protein source or with BSF, as single source of dietary protein. At the end of the feeding trial, blood plasma were collected to study the changes at systemic level in plasma amine metabolites as an effect of the experimental diet.</p>
FIGURE 1 in Molecular approaches for blood meal analysis and species identification of mosquitoes (Insecta: Diptera: Culicidae) in rural locations in southern England, United Kingdom
FIGURE 1. Neighbor Joining (NJ) tree of full-length barcodes (658 bp) for species of mosquitoes. A divergence of>2% is indicative of separate operational taxonomic units. Each specimen is labelled with a species name based on its molecular identification. BF refers to the alphanumeric number given to the blood-fed samples. Bootstrap values higher than 80% are only shown in the tree on each node.
Supplementary material 1 from: Chua PYS, Carøe C, Crampton-Platt A, Reyes-Avila CS, Jones G, Streicker DG, Bohmann K (2022) A two-step metagenomics approach for the identification and mitochondrial DNA contig assembly of vertebrate prey from the blood meals of common vampire bats (Desmodus rotundus). Metabarcoding and Metagenomics 6: e78756. https://doi.org/10.3897/mbmg.6.78756
A two-step metagenomics approach for prey identification from the blood meals of common vampire bats (Desmodus rotundus)
Effects of Berries on Post-meal Blood Sugar
ClinicalTrials.gov study NCT01580150. IPD Sharing: Not stated. Countries: 1. Publications: 2.
The Effect of Meal Composition on Blood Lipids
ClinicalTrials.gov study NCT02529709. IPD Sharing: Not stated. Countries: 1. Publications: 4.
The Effect of Whey Protein on Short-Term Food Intake and Post-Meal Blood Glucose Response in Young Men
ClinicalTrials.gov study NCT00988377. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Meal Timing and Blood Pressure
ClinicalTrials.gov study NCT04133701. IPD Sharing: NO. Countries: 1. Publications: 47.
A Human Clinical Trial Evaluating the Effect of MealShape™ on Blood Glucose Level Following Consumption of Standard Meal
ClinicalTrials.gov study NCT02074423. IPD Sharing: Not stated. Countries: 1. Publications: 7.
A Trial to Assess the Effect of Liraglutide on Blood Triglyceride (Fat) Levels After a Meal in Type 2 Diabetics
ClinicalTrials.gov study NCT00993304. IPD Sharing: Not stated. Countries: 1. Publications: 3.
Lifestyle Modification for Type 2 Diabetes Involving Reduction of After-meal Blood Glucose Elevations
ClinicalTrials.gov study NCT02432391. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Role of Glycaemic Index and High Protein Meal in Response of Blood Biomarkers for Pre-diabetes
ClinicalTrials.gov study NCT03309254. IPD Sharing: NO. Countries: 1. Publications: 1.
Leech blood-meal iDNA reveals differences in Bornean mammal diversity across habitats
<b>Description: </b><p>This data set includes the data used in Drinkwater et al. (2020) Leech blood-meal iDNA reveals differences in Bornean mammal diversity across habitats, submitted to Molecular Ecology. There are three sets of data based on the biomonitoring of mammals using iDNA extracted from leeches collected across the SAFE project (and DVCA) in 2016. At each site in the SAFE landscape 20 minute handsearches took place within the boundaries of fixed 25m2 vegetation plots. For these analyses we only used Haemadipsa picta individuals, as previous studies have revealed species differences between H. picta and H. zeylanica in the SAFE area. With metabarcoding techniques, first we extracted and amplified the 16S rRNA region of mammal DNA, from site-matched pools of leeches using PCR and specific mammal primers. NGS sequencing was used and the short fragments were then identified using in silico PCR with ecoPCR and OBITOOLS (metabarcoding packages) to assign taxonomy to the unknown sequences. We then analysed diversity in different habitats across the landscape and included microclimate data, from LiDAR scans of the landscape as variables which could impact the detection of mammals. </p><p><b>Project: </b>This dataset was collected as part of the following SAFE research project: <a href="https://www.safeproject.net/projects/project_view/10"><b>The effects of rainforest fragmentation on mammal community assemblages using leech blood-meal analysis</b></a></p><p><b>Funding: </b>These data were collected as part of research funded by: </p><ul><li>NERC (Standard grant , NE/K016148/1)</li><li>NERC (Independent research grant, NE/S01537X/1)</li></ul><p>This dataset is released under the CC-BY 4.0 licence, requiring that you cite the dataset in any outputs, but has the additional condition that you acknowledge the contribution of these funders in any outputs.</p><p></p><p><b>Permits: </b>These data were collected under permit from the following authorities:</p><ul><li>Sabah Biodiversity Council (Research licence JKM/MBS.1000 2/2 (34))</li><li>Sabah Biodiversity Council (Research licence JKM/MBS.1000 2/3 JLD.2 (107))</li><li>Sabah Biodiversity Council (Export licence JKM/MBS.1000 2/3 JLD.3 (44))</li><li>Danum Valley Conservation Area (Research licence YS/DVMC/2016/253)</li></ul><p></p><p><b>XML metadata: </b>GEMINI compliant metadata for this dataset is available <a href="https://www.safeproject.net/datasets/xml_metadata?id=4095374">here</a></p><p><b>Files: </b>This consists of 1 file: Drinkwater2020-iDNA_diversity3.xlsx</p><p><b>Drinkwater2020-iDNA_diversity3.xlsx</b></p><p>This file contains dataset metadata and 3 data tables:</p><ol><li><p><b>UNFILTERED Taxonomic assignment of iDNA sequences</b> (described in worksheet ecoTAG_output_raw)</p><p>Description: UNFILTERED This dataset is the raw output of the in silico PCR using the programs ecoPCR and the OBITOOLS package. The exact primers are matched against all mammal sequences in GenBank (NCBI) using a minimum of three mismatches between primer and query sequence and a quality filter of a minimum identity of 0.95. This dataset was subsequently filtered for contaminant, geographically implausible mammals and collapsed by haplotype per pool</p><p>Number of fields: 15</p><p>Number of data rows: 3454</p><p>Fields: </p><ul><li><b>id</b>: Unique sequence ID within leech pool (Field type: id)</li><li><b>site</b>: The site at the SAFE project from which the pool of leeches was collected (Field type: id)</li><li><b>hab</b>: The habitat type of the site at the SAFE project from which the pool of leeches was collected (Field type: id)</li><li><b>count</b>: Count of the times this sequence was found - UNFILTERED (Field type: numeric)</li><li><b>best_identity</b>: Percent identity match between query and database sequence - UNFILTERED (Field type: numeric)</li><li><b>family</b>: Family taxid - following GenBank (Field type: id)</li><li><b>family_name</b>: Family name (Field type: id)</li><li><b>genus</b>: Genus taxid - following GenBank (Field type: id)</li><li><b>genus_name</b>: Genus name (Field type: id)</li><li><b>order</b>: Order taxid - following GenBank (Field type: id)</li><li><b>order_name</b>: Order name (Field type: id)</li><li><b>species</b>: Species taxid - following GenBank (Field type: id)</li><li><b>species_name</b>: Species name (Field type: id)</li><li><b>Assigned_name</b>: Assigned taxonomic name (Field type: id)</li><li><b>sequence</b>: Query sequence (Field type: id)</li></ul></li><li><p><b>Mammal detections recorded in each pool </b> (described in worksheet detections)</p><p>Description: From the taxonomic assignment list, the unique sequences identfied in each pool are are recorded as detections. The value is a count of the numebr of time the unique sequence for that taxon was recorded in the pool. Geographically implausible mammals have been removed and taxa which agree per site have been collapsed. This give a detections by pool matrix. For analyses these counts were converted into presence/absence data. </p><p>Number of fields: 19</p><p>Number of data rows: 57</p><p>Fields: </p><ul><li><b>pool</b>: This is the pool name given to the leech pool for sequencing (Field type: id)</li><li><b>site</b>: The site at the SAFE project from which the pool of leeches was collected (Field type: id)</li><li><b>leeches</b>: This is the number of individual leeches which make up the pool (Field type: numeric)</li><li><b>habitat</b>: Habitat type - classification used in the paper to describe the quality of forest in the sites where the leeches were collected (Field type: id)</li><li><b>Arctogalidia</b>: Occurrence of detections of this taxon in a leech pool, as determined from leech-based iDNA (Field type: abundance)</li><li><b>Elephas</b>: Occurrence of detections of this taxon in a leech pool, as determined from leech-based iDNA (Field type: abundance)</li><li><b>Felidae</b>: Occurrence of detections of this taxon in a leech pool, as determined from leech-based iDNA (Field type: abundance)</li><li><b>Helarctos</b>: Occurrence of detections of this taxon in a leech pool, as determined from leech-based iDNA (Field type: abundance)</li><li><b>Hemigalus</b>: Occurrence of detections of this taxon in a leech pool, as determined from leech-based iDNA (Field type: abundance)</li><li><b>Hystrix</b>: Occurrence of detections of this taxon in a leech pool, as determined from leech-based iDNA (Field type: abundance)</li><li><b>Macaca</b>: Occurrence of detections of this taxon in a leech pool, as determined from leech-based iDNA (Field type: abundance)</li><li><b>Manis</b>: Occurrence of detections of this taxon in a leech pool, as determined from leech-based iDNA (Field type: abundance)</li><li><b>Muntiacus</b>: Occurrence of detections of this taxon in a leech pool, as determined from leech-based iDNA (Field type: abundance)</li><li><b>Rusa</b>: Occurrence of detections of this taxon in a leech pool, as determined from leech-based iDNA (Field type: abundance)</li><li><b>Sus</b>: Occurrence of detections of this taxon in a leech pool, as determined from leech-based iDNA (Field type: abundance)</li><li><b>Paguma</b>: Occurrence of detections of this taxon in a leech pool, as determined from leech-based iDNA (Field type: abundance)</li><li><b>Tragulus</b>: Occurrence of detections of this taxon in a leech pool, as determined from leech-based iDNA (Field type: abundance)</li><li><b>Trichys</b>: Occurrence of detections of this taxon in a leech pool, as determined from leech-based iDNA (Field type: abundance)</li><li><b>Viverra</b>: Occurrence of detections of this taxon in a leech pool, as determined from leech-based iDNA (Field type: abundance)</li></ul></li><li><p><b>Microclimate variables</b> (described in worksheet microclimate)</p><p>Description: Mean and maximum temperature and mean and maximum VPD extracted at each of the second order points used in the study. These values were extracted from microclimate surfaces generated in Jucker et al., (2018), using the coordinates from the centre of each of the 25m2 plots. For the values in Danum Valley Conservation Area (DVCA), these were extracted from the nearest river point (coordinates given).</p><p>Number of fields: 6</p><p>Number of data rows: 92</p><p>Fields: </p><ul><li><b>Code</b>: SAFE second order points including LOMBOK points at RLFE and three river sites at DVCA (Field type: location)</li><li><b>site</b>: The site at the SAFE project from which the pool of leeches was collected (Field type: id)</li><li><b>T_max_raster</b>: The maximum daily temperature at each second order point (Field type: numeric)</li><li><b>T_mean_raster</b>: The mean daily temperature at each second order point (Field type: numeric)</li><li><b>VPD_max_raster</b>: The maximum daily vapour pressure deficit (VPD) at each second order point (Field type: numeric)</li><li><b>VPD_mean_raster</b>: The mean daily vapour pressure deficit (VPD) at each second order point (Field type: numeric)</li></ul></li></ol><p><b>Date range: </b>2016-01-01 to 2016-12-31</p><p><b>Latitudinal extent: </b>4.5000 to 5.0700</p><p><b>Longitudinal extent: </b>116.7500 to 117.8200</p><p><b>Taxonomic coverage: </b><br> All taxon names are validated against the GBIF backbone taxonomy. If a dataset uses a synonym, the accepted usage is shown followed by the dataset usage in brackets. Taxa that cannot be validated, including new species and other unknown taxa, morphospecies, functional groups and taxonomic levels not used in the GBIF backbone are shown in square brackets.</p><div> -  Animalia <br> -  -  Chordata <br> -  -  -  Mammalia <br> -  -  -  -  Rodentia <br> -  -  -  -  -  Hystricidae <br> -  -  -  -  -  -  <i>Hystrix</i> <br> -  -  -  -  -  -  <i>Trichys</i> <br> -  -  -  -  -  -  -  <i>Trichys fasciculata</i> <br> -  -  -  -  Proboscidea <br> -  -  -  -  -  Elephantidae <br> -  -  -  -  -  -  <i>Elephas</i> <br> -  -  -  -  -  -  -  <i>Elephas maximus</i> <br> -  -  -  -  Primates <br> -  -  -  -  -  Cercopithecidae <br> -  -  -  -  -  -  <i>Macaca</i> <br> -  -  -  -  Carnivora <br> -  -  -  -  -  Felidae <br> -  -  -  -  -  Viverridae <br> -  -  -  -  -  -  <i>Viverra</i> <br> -  -  -  -  -  -  -  <i>Viverra tangalunga</i> <br> -  -  -  -  -  -  <i>Paguma</i> <br> -  -  -  -  -  -  -  <i>Paguma larvata</i> <br> -  -  -  -  -  -  <i>Arctogalidia</i> <br> -  -  -  -  -  -  -  <i>Arctogalidia trivirgata</i> <br> -  -  -  -  -  -  <i>Hemigalus</i> <br> -  -  -  -  -  -  -  <i>Hemigalus derbyanus</i> <br> -  -  -  -  -  Ursidae <br> -  -  -  -  -  -  <i>Helarctos</i> <br> -  -  -  -  -  -  -  <i>Helarctos malayanus</i> <br> -  -  -  -  Pholidota <br> -  -  -  -  -  Manidae <br> -  -  -  -  -  -  <i>Manis</i> <br> -  -  -  -  -  -  -  <i>Manis javanica</i> <br> -  -  -  -  Artiodactyla <br> -  -  -  -  -  Suidae <br> -  -  -  -  -  -  <i>Sus</i> <br> -  -  -  -  -  -  -  <i>Sus barbatus</i> <br> -  -  -  -  -  Tragulidae <br> -  -  -  -  -  -  <i>Tragulus</i> <br> -  -  -  -  -  Cervidae <br> -  -  -  -  -  -  <i>Muntiacus</i> <br> -  -  -  -  -  -  <i>Rusa</i> <br> -  -  -  -  -  -  -  <i>Rusa unicolor</i> <br></div><p></p>
Figure 3 in Identification of blood meals in field collected Culex pipiens, Anopheles sacharovi and Culex tritaeniorhynchus (Diptera: Culicidae) using the ELISA method
Figure 3. The percentage distribution of single and multiple host meal choices of A) An. sacharovi, B) Cx. pipiens, C) Cx. tritaeniorhynchus between humans and cows in both the Aegean and Mediterranean regions.
Figure 1 from: Che Lah EF, Yaakop S, Ahamad M, Md Nor S (2015) Molecular identification of blood meal sources of ticks (Acari, Ixodidae) using cytochrome b gene as a genetic marker. ZooKeys 478: 27-43. https://doi.org/10.3897/zookeys.478.8037
Figure 1 - Map of the study sites in Peninsular Malaysia: 1 Hulu Langat, Selangor 2 Labu, Negeri Sembilan 3 Janda Baik, Pahang 4 Gunung Tebu, Terengganu.
Figure 4 from: Che Lah EF, Yaakop S, Ahamad M, Md Nor S (2015) Molecular identification of blood meal sources of ticks (Acari, Ixodidae) using cytochrome b gene as a genetic marker. ZooKeys 478: 27-43. https://doi.org/10.3897/zookeys.478.8037
Figure 4 - Maximum parsimony tree constructed from 28 sequences (including one outgroup sequence) of the Cyt b gene. The numbers at the branches stand for bootstrap values 70% and above of 1000 replications. Genera of ticks represented by blue for Ixodes sp., orange for Dermacentor sp., violet for Haemaphysalis sp. and green for Amblyomma sp.
Figure 3 from: Che Lah EF, Yaakop S, Ahamad M, Md Nor S (2015) Molecular identification of blood meal sources of ticks (Acari, Ixodidae) using cytochrome b gene as a genetic marker. ZooKeys 478: 27-43. https://doi.org/10.3897/zookeys.478.8037
Figure 3 - Neighbor-joining tree constructed from 28 sequences (including one outgroup sequence) of the Cyt b gene. The numbers at the branches stand for bootstrap values 70% and above of 1000 replications. Genera of ticks represented by blue for Ixodes sp., orange for Dermacentor sp., violet for Haemaphysalis sp. and green for Amblyomma sp.
Figure 2 from: Che Lah EF, Yaakop S, Ahamad M, Md Nor S (2015) Molecular identification of blood meal sources of ticks (Acari, Ixodidae) using cytochrome b gene as a genetic marker. ZooKeys 478: 27-43. https://doi.org/10.3897/zookeys.478.8037
Figure 2 - Amplification of Cyt b gene produced 623 bp of PCR products from ticks species. Lane 1: unfed ticks (negative control); Lane 2: vertebrate DNA (positive control); Lanes 3–8: DNA of field-collected ticks (Ixodes sp., Dermacentor sp., Amblyomma sp., Amblyomma testudinarium, Haemaphysalis sp., Haemaphysalis sp.,) and Lanes M1, M2: 100 bp DNA ladder (Bioron, Germany).
Study of Post-meal Blood Sugar Peaks in Association With Vascular Disease in Childhood Obesity
ClinicalTrials.gov study NCT00846521. IPD Sharing: Not stated. Countries: 1. Publications: 0.
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