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Veterinary Infection Biology: Molecular Diagnostics and High-Throughput Strategies

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Cover of 'Veterinary Infection Biology: Molecular Diagnostics and High-Throughput Strategies'

Table of Contents

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    Book Overview
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    Chapter 1 Overview and Challenges of Molecular Technologies in the Veterinary Microbiology Laboratory.
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    Chapter 2 Significance and Integration of Molecular Diagnostics in the Framework of Veterinary Practice
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    Chapter 3 Biosafety Principles and Practices for the Veterinary Diagnostic Laboratory
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    Chapter 4 Veterinary Biobank Facility: Development and Management for Diagnostic and Research Purposes
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    Chapter 5 Biological Specimen Collection and Processing for Molecular Analysis
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    Chapter 6 Validation of Molecular Diagnostic Assays and Quality Assurance and Control in the Veterinary Laboratory
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    Chapter 7 Molecular Approaches to Recognize Relevant and Emerging Infectious Diseases in Animals
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    Chapter 8 Real-Time Reverse Transcriptase PCR for the Detection of Bluetongue Virus
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    Chapter 9 Nested and Multiplex Real-Time PCR Using Dual-Labeled Probes: Detecting and Discriminating Mycobacterium tuberculosis Complex Members in Cultures and Animal Tissues
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    Chapter 10 A Real-Time PCR Assay for the Diagnosis of Gastrointestinal Nematode Infections of Small Ruminants
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    Chapter 11 Improved Detection of Mycobacterium bovis in Bovine Tissues Using Immunomagnetic Separation Approaches
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    Chapter 12 Detection of Fish Pathogens by Loop-Mediated Isothermal Amplification (LAMP) Technique
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    Chapter 13 Direct Detection of Theileria annulata in Bovine Blood Samples Using Standard and Isothermal DNA Amplification Approaches.
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    Chapter 14 Reverse line blot hybridization with species-specific oligonucleotide probes: application to piroplasm detection.
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    Chapter 15 DNA Microarray-Based Detection of Multiple Pathogens: Mycoplasma spp. and Chlamydia spp.
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    Chapter 16 In Situ Hybridization with Labeled Probes: Assessment of African Swine Fever Virus in Formalin-Fixed Paraffin-Embedded Tissues
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    Chapter 17 Fluorescence In Situ Hybridization for the Tissue Detection of Bacterial Pathogens Associated with Porcine Infections
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    Chapter 18 Identification of Animal Pasteurellaceae by MALDI-TOF Mass Spectrometry
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    Chapter 19 Gold Nanoparticles as a Potential Tool for Diagnosis of Fish Diseases
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    Chapter 20 Nucleic-Acid Testing, New Platforms and Nanotechnology for Point-of-Decision Diagnosis of Animal Pathogens
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    Chapter 21 Molecular Typing Tools: From Pattern Recognition to Genome-Based Algorithms
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    Chapter 22 Characterization of Campylobacter jejuni and Campylobacter coli Genotypes in Poultry Flocks by Restriction Fragment Length Polymorphism (RFLP) Analysis
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    Chapter 23 Pulsed-Field Gel Electrophoresis (PFGE): Application in Population Structure Studies of Bovine Mastitis-Causing Streptococci.
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    Chapter 24 Multiple-Locus Variable-Number Tandem Repeat (VNTR) Analysis (MLVA) Using Multiplex PCR and Multicolor Capillary Electrophoresis: Application to the Genotyping of Brucella Species
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    Chapter 25 Multilocus Sequence Typing (MLST): Markers for the Traceability of Pathogenic Leptospira Strains
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    Chapter 26 Single-Nucleotide Polymorphism Discrimination Using High-Resolution Melting Analysis for the Genotyping of Bacillus anthracis
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    Chapter 27 Veterinary Infection Biology: Molecular Diagnostics and High-Throughput Strategies
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    Chapter 28 Rapid Microarray-Based Genotyping of Chlamydia spp. Strains from Clinical Tissue Samples
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    Chapter 29 Multiplexed Genotyping of Bacillus anthracis by Luminex xMap Suspension Array
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    Chapter 30 Next-Generation Sequencing in Veterinary Medicine: How Can the Massive Amount of Information Arising from High-Throughput Technologies Improve Diagnosis, Control, and Management of Infectious Diseases?
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    Chapter 31 Impact of Next-Generation Technologies on Exploring Socioeconomically Important Parasites and Developing New Interventions.
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    Chapter 32 Functional Genomics of Tick Vectors Challenged with the Cattle Parasite Babesia bigemina.
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    Chapter 33 Metagenomic approaches to disclose disease-associated pathogens: detection of viral pathogens in honeybees.
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    Chapter 34 Proteomics Characterization of Tick-Host-Pathogen Interactions.
Attention for Chapter 32: Functional Genomics of Tick Vectors Challenged with the Cattle Parasite Babesia bigemina.
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Chapter title
Functional Genomics of Tick Vectors Challenged with the Cattle Parasite Babesia bigemina.
Chapter number 32
Book title
Veterinary Infection Biology: Molecular Diagnostics and High-Throughput Strategies
Published in
Methods in molecular biology, October 2014
DOI 10.1007/978-1-4939-2004-4_32
Pubmed ID
Book ISBNs
978-1-4939-2003-7, 978-1-4939-2004-4
Authors

Ana Domingos, Sandra Antunes, Margarita Villar, José de la Fuente, Domingos, Ana, Antunes, Sandra, Villar, Margarita, Fuente, José

Editors

Mónica V. Cunha, João Inácio

Abstract

Ticks are obligate hematophagous ectoparasites considered as vectors of animal diseases, having a huge economic impact in cattle industry. Babesia spp. are tick-borne pathogens that cause a disease called babesiosis in a wide range of animals and in humans. Control of tick infestations is mainly based on the use of acaricides, which have limited efficacy reducing tick infestations, mostly due to wrong usage, and is often accompanied by the selection of acaricide-resistant ticks, environmental contamination, and contamination of milk and meat products. Vaccines affecting both vector and pathogens constitute new control strategies for tick and tick-borne diseases and are, therefore, a good alternative to chemical control.In this chapter we describe the identification of Rhipicephalus (Boophilus) annulatus genes differentially expressed in response to infection with B. bigemina by using suppression-subtractive hybridization (SSH), which allows the identification of differentially expressed genes. The results of the SSH studies are validated by real-time reverse transcription (RT)-PCR. Functional analyses are conducted by RNAi on selected R. annulatus genes to determine their putative role in B. bigemina-tick interactions. Gathered data may be useful for the future development of improved vaccines and vaccination strategies to control babesiosis.

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The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 24 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 4%
Colombia 1 4%
Unknown 22 92%

Demographic breakdown

Readers by professional status Count As %
Researcher 7 29%
Student > Master 5 21%
Student > Doctoral Student 2 8%
Student > Ph. D. Student 2 8%
Student > Bachelor 1 4%
Other 2 8%
Unknown 5 21%
Readers by discipline Count As %
Agricultural and Biological Sciences 7 29%
Veterinary Science and Veterinary Medicine 3 13%
Nursing and Health Professions 2 8%
Medicine and Dentistry 2 8%
Business, Management and Accounting 1 4%
Other 4 17%
Unknown 5 21%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 2015.
All research outputs
#14,789,596
of 22,770,070 outputs
Outputs from Methods in molecular biology
#4,676
of 13,090 outputs
Outputs of similar age
#143,852
of 260,387 outputs
Outputs of similar age from Methods in molecular biology
#33
of 134 outputs
Altmetric has tracked 22,770,070 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,090 research outputs from this source. They receive a mean Attention Score of 3.3. This one has gotten more attention than average, scoring higher than 59% of its peers.
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 260,387 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 42nd percentile – i.e., 42% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 134 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 70% of its contemporaries.