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Genetic diversity and drug sensitivity studies on Eimeria tenella field isolates from Hubei Province of China

Overview of attention for article published in Parasites & Vectors, March 2017
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Title
Genetic diversity and drug sensitivity studies on Eimeria tenella field isolates from Hubei Province of China
Published in
Parasites & Vectors, March 2017
DOI 10.1186/s13071-017-2067-y
Pubmed ID
Authors

Li Tan, Yalin Li, Xin Yang, Qiyun Ke, Weiqiang Lei, Mudassar Niaz Mughal, Rui Fang, Yanqin Zhou, Bang Shen, Junlong Zhao

Abstract

Avian coccidiosis is an intracellular intestinal parasitic disease, caused by intracellular intestinal parasites from the genus Eimeria, among which Eimeria tenella is one of the most pathogenic species and causes great economic losses. Frequent applications of anticoccidial drugs have resulted in the development of drug-resistance in E. tenella. In the present study, we sought to determine the genetic diversity of E. tenella isolates prevalent in chicken farms in Hubei Province of China and examine their sensitivity to three anticoccidial drugs. The results provide useful information for the prevention and control of coccidiosis in this region. Eimeria tenella oocysts were isolated from faecal samples collected from different commercial broiler production farms in Hubei Province, China. After oocyst sporulation and animal inoculation for expansion of the field isolates, DNA and RNA were extracted from excysted sporozoites for molecular characterization. Species identification of field isolates were performed by polymerase chain reaction (PCR) amplification of the internal transcribed spacer 1 (ITS1) region of ribosomal DNA. Random amplified polymorphic DNA (RAPD) was used for population genetic analysis. Subsequently, sequences of the major sporozoite surface antigen (SAG), micronemal protein 2 (MIC-2) and cytochrome b (cytb) genes from genomic DNA, and the Eimeria tenella cation-transport ATPase (EtCat ATPase) gene from cDNA were obtained for genotyping using multi-sequence alignments. Finally, sensitivity of the field isolates to three commonly used anticoccidial drugs (diclazuril, decoquinate and maduramycin) were tested to assess the prevalence of drug resistance in E. tenella in Hubei Province of China. Analysis of the ITS1 sequences indicated that all the isolates were E. tenella. RAPD analysis and multi-sequence alignments of the SAG, MIC-2, EtCat ATPase and cytb showed genetic diversity among these isolates. Finally, drug sensitivity tests demonstrated that all field isolates were sensitive to diclazuril but resistant to decoquinate (except for the isolates from eastern Hubei) and maduramicin. Population genetic analysis indicated that genetic polymorphisms among field isolates were closely related with their regional distributions. Drug sensitivity testing demonstrated that E. tenella isolates in Hubei Province were sensitive to diclazuril, but resistant to maduramycin and decoquinate. The results presented here provide important information for the control and preventions of coccidiosis in the Hubei Province of China.

Twitter Demographics

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Mendeley readers

The data shown below were compiled from readership statistics for 41 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
India 1 2%
Unknown 40 98%

Demographic breakdown

Readers by professional status Count As %
Researcher 8 20%
Student > Master 5 12%
Student > Bachelor 5 12%
Student > Ph. D. Student 4 10%
Other 2 5%
Other 3 7%
Unknown 14 34%
Readers by discipline Count As %
Agricultural and Biological Sciences 10 24%
Veterinary Science and Veterinary Medicine 8 20%
Biochemistry, Genetics and Molecular Biology 2 5%
Pharmacology, Toxicology and Pharmaceutical Science 1 2%
Immunology and Microbiology 1 2%
Other 3 7%
Unknown 16 39%

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 09 March 2017.
All research outputs
#6,990,599
of 9,171,443 outputs
Outputs from Parasites & Vectors
#1,925
of 2,643 outputs
Outputs of similar age
#185,779
of 253,833 outputs
Outputs of similar age from Parasites & Vectors
#122
of 162 outputs
Altmetric has tracked 9,171,443 research outputs across all sources so far. This one is in the 13th percentile – i.e., 13% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,643 research outputs from this source. They receive a mean Attention Score of 4.2. This one is in the 13th percentile – i.e., 13% 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 253,833 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 15th percentile – i.e., 15% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 162 others from the same source and published within six weeks on either side of this one. This one is in the 6th percentile – i.e., 6% of its contemporaries scored the same or lower than it.