FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W4213004670> ?p ?o ?g. }

• W4213004670 endingPage "82" @default.
• W4213004670 startingPage "67" @default.
• W4213004670 abstract "Background: Metagenomics approaches are increasingly being utilized as “dipstick” for microbial carriage. In this study, 16S rRNA metagenomics was used to probe for microbial community that resides in the ticks, those they pick from the environment, wildlife and livestock and to identify potential tick borne zoonoses. Methods: Tick DNA from 463 tick pools collected from domestic animals between 2007 and 2008 were amplified with primers that target the 16S rRNA V3-V4 domain and then sequenced on Illumina Miseq platform using 300 cycles version 3 kits. Ticks were pooled according to species and animal from which they were collected. A non-target control was used to track laboratory contaminants. Sequence data were analyzed using Mothur v1.3 pipeline and R v3.3.1 software and taxonomy determined using SILVA rRNA database. Shannon diversity index was used to compute bacterial diversity in each tick species before computing the means. Results: A total of 645 bacteria genera grouped into 27 phyla were identified. Four phyla contributed 97.4% of the 36,973,934 total sequences. Proteobacteria contributed 61.2% of these sequences that tarried to 33.8% genera, compared to 15.9% (23.4% genera) for Firmicutes, 15.6% (20% genera) for Actinobacteria and 4.7% (11.6% genera) for Bacteroidetes. The remaining 23 phyla only contributed 2.6% of the sequence reads (11.2% genera). Amongst the 645 genera, three groups were discernible, with the biggest group comprised commensals/symbionts that contributed 93.6% of the genera, but their individual sequence contribution was very low. Group two comprised genera that are known to contain pathogenic species, with Coxiella contributing 15,445,204 (41.8%) sequences, Corynebacterium (13.6%), Acinetobacter (4.3%), Staphylococcus (3.9%), Bacillus (2.7%) and Porphyromonas (1.6%), Ralstonia (1.5%), Streptococcus (1.3%), Moraxella (1.3%), amongst others. Group three comprised genera known to contain tick borne zoonotic pathogens (TBZ): Rickettsiae, Anaplasma, Francisella, Ehrlichia, Bartonella and Borrelia. Individually the TBZ contributed Amblyomma variegatum carried the least diverse bacteria (mean Shannon diversity index of 2.69 ± 0.92) compared to 3.79 ± 1.10 for A. gemma, 3.71 ± 1.32 for A. hebraeum, 4.15 ± 1.08 for other Amblyomma spp, 3.79 ± 1.37 for Hyalomma truncatum, 3.67 ± 1.38 for other Hyalomma spp, 3.86 ± 1.27 for Rhipicephalus annulatus, 3.56 ± 1.21 for Rh. appendiculatus, and 3.65 ± 1.30 for Rh. Pulchellus, but the difference was not significant (p = 0.443). Conclusion: This study illustrates the utility of 16S rRNA metagenomics in revealing the complexity of bacteria communities that reside and/or transit through the tick having been picked from the environment, livestock and/or wild animals, some with potential to cause zoonoses." @default.
• W4213004670 created "2022-02-24" @default.
• W4213004670 creator A5022232597 @default.
• W4213004670 creator A5043276470 @default.
• W4213004670 creator A5053511512 @default.
• W4213004670 creator A5057250881 @default.
• W4213004670 creator A5073838965 @default.
• W4213004670 date "2022-01-01" @default.
• W4213004670 modified "2023-10-14" @default.
• W4213004670 title "Bacteriome in Ticks Collected from Domestic Livestock in Kenya" @default.
• W4213004670 cites W1809188985 @default.
• W4213004670 cites W1989760099 @default.
• W4213004670 cites W1991528717 @default.
• W4213004670 cites W1998601670 @default.
• W4213004670 cites W2023491792 @default.
• W4213004670 cites W2026347365 @default.
• W4213004670 cites W2034285706 @default.
• W4213004670 cites W2036415660 @default.
• W4213004670 cites W2050202163 @default.
• W4213004670 cites W2052234194 @default.
• W4213004670 cites W2056093675 @default.
• W4213004670 cites W2056279562 @default.
• W4213004670 cites W2078128415 @default.
• W4213004670 cites W2081212060 @default.
• W4213004670 cites W2101739858 @default.
• W4213004670 cites W2102382406 @default.
• W4213004670 cites W2108718991 @default.
• W4213004670 cites W2115701239 @default.
• W4213004670 cites W2129256716 @default.
• W4213004670 cites W2131596454 @default.
• W4213004670 cites W2166952935 @default.
• W4213004670 cites W2178324140 @default.
• W4213004670 cites W2239554911 @default.
• W4213004670 cites W2296909041 @default.
• W4213004670 cites W2347102183 @default.
• W4213004670 cites W2460271816 @default.
• W4213004670 cites W2521747717 @default.
• W4213004670 cites W2535886326 @default.
• W4213004670 cites W2588483593 @default.
• W4213004670 cites W2592244930 @default.
• W4213004670 cites W2623535102 @default.
• W4213004670 cites W2754440938 @default.
• W4213004670 cites W2755784675 @default.
• W4213004670 cites W2765268335 @default.
• W4213004670 cites W2773308838 @default.
• W4213004670 cites W2775007807 @default.
• W4213004670 cites W2802628999 @default.
• W4213004670 cites W2888004133 @default.
• W4213004670 cites W2912323350 @default.
• W4213004670 cites W2913597843 @default.
• W4213004670 cites W2936259650 @default.
• W4213004670 cites W2951447647 @default.
• W4213004670 cites W2951941004 @default.
• W4213004670 cites W2952159332 @default.
• W4213004670 cites W2952837153 @default.
• W4213004670 cites W2955207291 @default.
• W4213004670 cites W2993256093 @default.
• W4213004670 cites W2993383518 @default.
• W4213004670 cites W2996962598 @default.
• W4213004670 cites W3025793429 @default.
• W4213004670 cites W3034912824 @default.
• W4213004670 cites W3091923698 @default.
• W4213004670 cites W3157762653 @default.
• W4213004670 cites W3166425341 @default.
• W4213004670 cites W3184757255 @default.
• W4213004670 cites W3195890103 @default.
• W4213004670 cites W4230096730 @default.
• W4213004670 cites W613614210 @default.
• W4213004670 doi "https://doi.org/10.4236/aim.2022.122006" @default.
• W4213004670 hasPublicationYear "2022" @default.
• W4213004670 type Work @default.
• W4213004670 citedByCount "1" @default.
• W4213004670 countsByYear W42130046702022 @default.
• W4213004670 crossrefType "journal-article" @default.
• W4213004670 hasAuthorship W4213004670A5022232597 @default.
• W4213004670 hasAuthorship W4213004670A5043276470 @default.
• W4213004670 hasAuthorship W4213004670A5053511512 @default.
• W4213004670 hasAuthorship W4213004670A5057250881 @default.
• W4213004670 hasAuthorship W4213004670A5073838965 @default.
• W4213004670 hasBestOaLocation W42130046701 @default.
• W4213004670 hasConcept C104317684 @default.
• W4213004670 hasConcept C15151743 @default.
• W4213004670 hasConcept C18903297 @default.
• W4213004670 hasConcept C2777385719 @default.
• W4213004670 hasConcept C2777695942 @default.
• W4213004670 hasConcept C2778169975 @default.
• W4213004670 hasConcept C2779676784 @default.
• W4213004670 hasConcept C42062724 @default.
• W4213004670 hasConcept C523546767 @default.
• W4213004670 hasConcept C54355233 @default.
• W4213004670 hasConcept C86803240 @default.
• W4213004670 hasConcept C90856448 @default.
• W4213004670 hasConcept C91066513 @default.
• W4213004670 hasConceptScore W4213004670C104317684 @default.
• W4213004670 hasConceptScore W4213004670C15151743 @default.
• W4213004670 hasConceptScore W4213004670C18903297 @default.
• W4213004670 hasConceptScore W4213004670C2777385719 @default.
• W4213004670 hasConceptScore W4213004670C2777695942 @default.

• next