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Illumina Next Generation Sequencing for the Analysis of Eimeria Populations in Commercial Broilers and Indigenous Chickens

Overview of attention for article published in Frontiers in Veterinary Science, July 2018
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Title
Illumina Next Generation Sequencing for the Analysis of Eimeria Populations in Commercial Broilers and Indigenous Chickens
Published in
Frontiers in Veterinary Science, July 2018
DOI 10.3389/fvets.2018.00176
Pubmed ID
Authors

Ankit T. Hinsu, Jalpa R. Thakkar, Prakash G. Koringa, Vladimir Vrba, Subhash J. Jakhesara, Androniki Psifidi, Javier Guitian, Fiona M. Tomley, Dharamsibhai N. Rank, Muthusamy Raman, Chaitanya G. Joshi, Damer P. Blake

Abstract

Eimeria species parasites can cause the enteric disease coccidiosis, most notably in chickens where the economic and welfare implications are significant. Seven Eimeria species are recognized to infect chickens, although understanding of their regional occurrence, abundance, and population structure remains limited. Reports of Eimeria circulating in chickens across much of the southern hemisphere with cryptic genotypes and the capacity to escape current anticoccidial vaccines have revealed unexpected levels of complexity. Consequently, it is important to supplement validated species-specific molecular diagnostics with new genus-level tools. Here, we report the application of Illumina MiSeq deep sequencing to partial 18S rDNA amplicons generated using Eimeria genus-specific primers from chicken caecal contents collected in India. Commercial Cobb400 broiler and indigenous Kadaknath type chickens were sampled under field conditions after co-rearing (mixed type farms, n = 150 chickens for each) or separate rearing (single type farms, n = 150 each). Comparison of MiSeq results with established Internal Transcribed Spacer (ITS) and Sequence Characterised Amplified Region (SCAR) quantitative PCR assays suggest greater sensitivity for the MiSeq approach. The caecal-dwelling Eimeria tenella and E. necatrix dominated each sample set, although all seven species which infect chickens were detected. Two of the three cryptic Eimeria genotypes were detected including OTU-X and OTU-Y, the most northern report for the latter to date. Low levels of DNA representing other Eimeria species were detected, possibly representing farm-level contamination with non-replicating oocysts or Eimeria DNA, or false positives, indicating a requirement for additional validation. Next generation deep amplicon sequencing offers a valuable resource for future Eimeria studies.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 49 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 49 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 6 12%
Student > Master 6 12%
Student > Ph. D. Student 5 10%
Student > Bachelor 5 10%
Student > Postgraduate 3 6%
Other 8 16%
Unknown 16 33%
Readers by discipline Count As %
Agricultural and Biological Sciences 8 16%
Veterinary Science and Veterinary Medicine 7 14%
Biochemistry, Genetics and Molecular Biology 7 14%
Medicine and Dentistry 2 4%
Linguistics 1 2%
Other 3 6%
Unknown 21 43%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 15 August 2018.
All research outputs
#15,542,250
of 23,098,660 outputs
Outputs from Frontiers in Veterinary Science
#3,121
of 6,392 outputs
Outputs of similar age
#209,416
of 329,967 outputs
Outputs of similar age from Frontiers in Veterinary Science
#65
of 93 outputs
Altmetric has tracked 23,098,660 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 6,392 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.9. This one is in the 44th percentile – i.e., 44% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 329,967 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 93 others from the same source and published within six weeks on either side of this one. This one is in the 20th percentile – i.e., 20% of its contemporaries scored the same or lower than it.