Dataset of 16S rRNA gene sequences of 111 healthy and Newcastle disease infected caecal samples from multiple chicken breeds of Pakistan

The article presents a processed dataset from amplicon sequencing of the V4 region of the 16S rRNA gene to recover bacterial and archaeal taxa from the caeca of multiple chicken breeds of Pakistan. These include chicken breeds commonly raised at commercial level, Naked Neck, Black Australorp, Rhode Island Red, White Layer, and Broiler. All the breeds were challenged with Newcastle Disease Virus (NDV), with vaccination against the disease also explored. This resulted in samples belonging to four treatment groups as: Control; Vaccinated; Vaccinated and Challenged; and Non-vaccinated and Challenged. These were raised on an antibiotic free diet in a semi-controlled farming setup. 16S rRNA gene amplicon sequencing of caecal DNA from day old and mature chicken samples (22 weeks for Naked Neck, Black Australorp, Rhode Island Red and White Layer; 8 weeks for Broiler) of the four groups was performed. The paired-end reads from all the samples were quality trimmed, error corrected, and overlapped, on which unique Operational Taxonomic Units (OTUs) were obtained at 99 % similarity. Using predictive modelling, the MetaCyc functional pathways, as well as KEGG orthologs were also recovered. The generated data may be used to explore microbial interactions in gastrointestinal tract with respect to NDV vaccination and infection, together with increased understanding of chicken health and productivity.

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Publication Details

Journal
Data in Brief
Published
2024-09-19
DOI
https://doi.org/10.1016/j.dib.2024.110957
Citations
1
Primary Topic
Genomics and Phylogenetic Studies
Type
article
Field-Weighted Citation Impact
0.23

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article

Dataset of 16S rRNA gene sequences of 111 healthy and Newcastle disease infected caecal samples from multiple chicken breeds of Pakistan

Farrukh Saleem, Ciara Keating, Ozan Gundogdu, Sundus Javed et al.
1 citations
Data in Brief
Genomics and Phylogenetic Studies
0.23
article

Dataset of 16S rRNA gene sequences of 111 healthy and Newcastle disease infected caecal samples from multiple chicken breeds of Pakistan

Farrukh Saleem, Ciara Keating, Ozan Gundogdu, Sundus Javed, Aqsa Ameer, Umer Zeeshan Ijaz
article en
1 citations

Abstract

The article presents a processed dataset from amplicon sequencing of the V4 region of the 16S rRNA gene to recover bacterial and archaeal taxa from the caeca of multiple chicken breeds of Pakistan. These include chicken breeds commonly raised at commercial level, Naked Neck, Black Australorp, Rhode Island Red, White Layer, and Broiler. All the breeds were challenged with Newcastle Disease Virus (NDV), with vaccination against the disease also explored. This resulted in samples belonging to four treatment groups as: Control; Vaccinated; Vaccinated and Challenged; and Non-vaccinated and Challenged. These were raised on an antibiotic free diet in a semi-controlled farming setup. 16S rRNA gene amplicon sequencing of caecal DNA from day old and mature chicken samples (22 weeks for Naked Neck, Black Australorp, Rhode Island Red and White Layer; 8 weeks for Broiler) of the four groups was performed. The paired-end reads from all the samples were quality trimmed, error corrected, and overlapped, on which unique Operational Taxonomic Units (OTUs) were obtained at 99 % similarity. Using predictive modelling, the MetaCyc functional pathways, as well as KEGG orthologs were also recovered. The generated data may be used to explore microbial interactions in gastrointestinal tract with respect to NDV vaccination and infection, together with increased understanding of chicken health and productivity.

Data in BriefVol. 57
University of Liverpool (GB), COMSATS University Islamabad (PK), Ollscoil na Gaillimhe – University of Galway (IE), Durham University (GB), London School of Hygiene & Tropical Medicine (GB), University of Glasgow (GB)
Wellcome Trust, Higher Education Commission, Pakistan, Engineering and Physical Sciences Research Council
Zero hunger
Openalex Percentile: Top 42%
Genomics and Phylogenetic Studies
0.23
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