Nucleotide sequence analysis of Mx1 gene in Japanese quail

Author(s):  
Diwesh Kumar Niraj ◽  
Pushpendra Kumar ◽  
Chinmoy Mishra ◽  
Neeraj Kashyap ◽  
Raj Narayan ◽  
...  

During the process of increasing production potential of poultry, other economically important traits like disease resistance are neglected and ultimately leading to decrease in quality food production. The poultry health management is important due to emergence of highly pathogenic diseases like Avian Influenza. Mx1 gene has been reported to provide resistance against avian influenza virus in chicken. Therefore, present research work was focused to identify the genetic variation of Mx1 gene in Japanese quail. Total three fragments viz. Frag-I of 185 bp (Exon 3 region), Frag-II of 161 bp (Exon 7 region) and Frag-III of 176 bp (Exon 13 region) of Mx1 gene in 170 Japanese quail birds were amplified and screened for polymorphism by PCR-SSCP technique. All the three fragments were found to be monomorphic which was confirmed by dideoxy nucleotide sequencing. Comparative analysis of Mx1 sequence of Japanese quail by MegAlign programme of DNASTAR showed 100% homology with common quail and more than 80% homology with Rhode Island Red and Silki chicken breeds.

2015 ◽  
Vol 8 (12) ◽  
pp. 1435-1443 ◽  
Author(s):  
Diwesh Kumar Niraj ◽  
Pushpendra Kumar ◽  
Chinmoy Mishra ◽  
Raj Narayan ◽  
Tarun Kumar Bhattacharya ◽  
...  

2015 ◽  
Vol 41 (2) ◽  
pp. 135-144 ◽  
Author(s):  
Ripon Kumar Dutta ◽  
M Saiful Islam ◽  
Md Ashraful Kabir

A comparative account of haemato-biochemical profiles of an indigenus (IND) and five chicken breeds: viz. Cobb 500 (COB), cockerel (COC), Fayoumi (FAY), Rhode Island Red (RIR), and Sonali (SON, derived from RIR cock × FAY hen), has been presented. The haematological profile included total counts (TC) of RBC, WBC, platelets, haemoglobin (Hb%) and ESR and differential counts (DC) of WBC included neutrophils, eosinophils, lymphocytes, monocytes and basophils. All the haematological parameters except WBC, ESR and basophils showed significant difference among the breeds (P < 0.01). Vital biochemical parameters from blood sera such as calcium, cholesterol, creatinine, glucose and urea also showed significant difference among the chicken breeds (P < 0.05). The haematobiochemical parameters, however, were not significantly correlated (P > 0.05) with each other among the chicken breeds. Except for cholesterol vs. urea in IND, none of the correlations tested for haemato-biochemical profiles of the experimental chickens was found significant. Relevance of this study in relation to health, clinico-pathology and improved breeding strategies of the poultry species in the country has been discussed.Bangladesh J. Zool. 41(2): 135-144, 2013


2014 ◽  
Vol 43 (6) ◽  
pp. 514-523 ◽  
Author(s):  
Walid Kilany ◽  
Gwenaelle Dauphin ◽  
Abdullah Selim ◽  
Astrid Tripodi ◽  
Mohamed Samy ◽  
...  

2015 ◽  
Vol 719-720 ◽  
pp. 426-430
Author(s):  
Liang Yao ◽  
Jing Sun

This paper studies prognostic and health management (PHM) system for smart grid based on wireless sensor networks. The system function is analyzed firstly. Then, problems like networking hardware selection and data processing method have been discussed. The application of data fusion is discussed specially. In the end, the system platform based on a data-centric hierarchical technology architecture is designed with four layers: network configuration layer, network communication layer, platform basis layer and application layer. The research work of this paper is theoretical support for the realization of PHM for smart grid and the application of WSNs in smart grid.


2017 ◽  
Vol 91 (21) ◽  
Author(s):  
Kateri Bertran ◽  
Dong-Hun Lee ◽  
Mary J. Pantin-Jackwood ◽  
Erica Spackman ◽  
Charles Balzli ◽  
...  

ABSTRACT In 2014 and 2015, the United States experienced an unprecedented outbreak of Eurasian clade 2.3.4.4 H5 highly pathogenic avian influenza (HPAI) virus. Initial cases affected mainly wild birds and mixed backyard poultry species, while later outbreaks affected mostly commercial chickens and turkeys. The pathogenesis, transmission, and intrahost evolutionary dynamics of initial Eurasian H5N8 and reassortant H5N2 clade 2.3.4.4 HPAI viruses in the United States were investigated in minor gallinaceous poultry species (i.e., species for which the U.S. commercial industries are small), namely, Japanese quail, bobwhite quail, pearl guinea fowl, chukar partridges, and ring-necked pheasants. Low mean bird infectious doses (<2 to 3.7 log10) support direct introduction and infection of these species as observed in mixed backyard poultry during the early outbreaks. Pathobiological features and systemic virus replication in all species tested were consistent with HPAI virus infection. Sustained virus shedding with transmission to contact-exposed birds, alongside long incubation periods, may enable unrecognized dissemination and adaptation to other gallinaceous species, such as chickens and turkeys. Genome sequencing of excreted viruses revealed numerous low-frequency polymorphisms and 20 consensus-level substitutions in all genes and species, but especially in Japanese quail and pearl guinea fowl and in internal proteins PB1 and PB2. This genomic flexibility after only one passage indicates that influenza viruses can continue to evolve in galliform species, increasing their opportunity to adapt to other species. Our findings suggest that these gallinaceous poultry are permissive for infection and sustainable transmissibility with the 2014 initial wild bird-adapted clade 2.3.4.4 virus, with potential acquisition of mutations leading to host range adaptation. IMPORTANCE The outbreak of clade 2.3.4.4 H5 highly pathogenic avian influenza (HPAI) virus that occurred in the United States in 2014 and 2015 represents the worst livestock disease event in the country, with unprecedented socioeconomic and commercial consequences. Epidemiological and molecular investigations can identify transmission pathways of the HPAI virus. However, understanding the pathogenesis, transmission, and intrahost evolutionary dynamics of new HPAI viruses in different avian species is paramount. The significance of our research is in examining the susceptibility of minor gallinaceous species to HPAI virus, as this poultry sector also suffers from HPAI epizootics, and identifying the biological potential of these species as an epidemiological link between the waterfowl reservoir and the commercial chicken and turkey populations, with the ultimate goal of refining surveillance in these populations to enhance early detection, management, and control in future HPAI virus outbreaks.


2021 ◽  
Author(s):  
Klaudia Chrzastek ◽  
Joy Leng ◽  
Mohammad Khalid Zakaria ◽  
Dagmara Bialy ◽  
Roberto LaRagione ◽  
...  

A commensal microbiome regulates and is in turn regulated by viruses during host infection which can influence virus infectivity. In this study, analysis of colon microbiome population changes following a low pathogenicity avian influenza virus (AIV) of the H9N2 subtype infection of two different chicken breeds was conducted. Using 16S rRNA sequencing and subsequent data analysis we found reduced microbiome alpha diversity in the acute period of AIV infection (day 2-3) in both Rhode Island Red and VALO chicken lines. From day 4 post infection a gradual increase in diversity of the colon microbiome was observed, but the diversity did not reach the same level as in uninfected chickens by day 10 post infection, suggesting that AIV infection retards the natural accumulation of colon microbiome diversity, which may further influence chicken health following recovery from infection. Beta diversity analysis indicated differences in diversity between the chicken lines during and following acute influenza infection suggesting the impact of host gut microflora dysbiosis following H9N2 influenza virus infection could differ for different breeds.


2017 ◽  
Vol 9 (2) ◽  
pp. 105-108
Author(s):  
T Hossain ◽  
ASS Hossain ◽  
A Roy ◽  
MAK Azad ◽  
MAR Hawlider

The study investigated the effect of moisture loss on the Hatchability of chicken, Duck and Quail eggs. A total of 480 eggs; 120 from Rhode Island Red (RIR) chicken, 60 from Zending duck and 300 from Japanese quail were collected and set in the same incubator with 3 replications to compare hatchability results among the species. Moisture loss percentage was highest (P<0.01) in quail eggs (16.19%), intermediate in chicken eggs (7.76%) and lowest in duck eggs (7.24%). Among 3 genotypes, at all (0, 7 and 14 days) ages, eggs weight was highest (p<0.01) in Zending duck (60.50g), intermediate in RIR chicken (59.188) and lowest in quail (9.55g). Egg weight loss at 7 and 14 days of incubation were highest in quail, intermediate in chicken and lowest in duck. There was no appreciable differences of hatchability on set eggs and fertile eggs among species (p>0.05). Apparently, the hatchability on fertile eggs was similar and higher in chicken (58.3%) and quail (58.9%) and slightly lower in duck (53.7%). However, hatchability on set eggs was highest in quail (58.3%) intermediate in chicken (43.3%) and lowest in duck (40.7%). Chick weight at hatchings was highest (p<0.01) in duck (37.55g), intermediate in chicken (34.56g) and lowest in quail (5.61 g). Chick weight as per cent of egg weight was found highest (p<0.01) in duck (62.07%), intermediate in chicken (58.40%) and lowest in quail (54.24%). There were some relations among the different hatchability results depending on species. There were marked variations in moisture effect among the species. It was clear that hatchability not only affected by species but moisture loss also played an important role on hatchability. It was concluded that under similar environment, hatchability on fertile eggs were similar and higher in quail and chicken and lower in duck. But hatchability on set eggs was highest in quail, intermediate in chicken and lowest in duck. It imply that some losses of moisture with various level may be necessary to enhance egg hatchability is required to support hatching results in different species of poultry.J. Environ. Sci. & Natural Resources, 9(2): 105-108 2016


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